This study aimed to develop a diagnostic model utilizing clinical and laboratory data to identify complicated appendicitis in pediatric patients, improving acute appendicitis management.

Retrospective analysis of pediatric acute appendicitis cases (2018-2023) at two hospitals collected medical history, clinical criteria, and blood samples. Patients were divided into complicated and uncomplicated appendicitis groups for comparison. Significant variables were identified using the Least Absolute Shrinkage and Selection Operator (LASSO), and incorporated into a logistic regression model to construct a nomogram. The effectiveness of the model was assessed based on sensitivity, specificity, accuracy, and comparison with existing scoring systems.

Among 323 patients, four variables (neutrophil (NEU), C-reactive protein (CRP), fibrinogen (Fg), and chlorine (Cl)) were identified as significant. The recommended cutoff value of nomogram was 0.730, exceeding that of Alvarado and PAS, with higher sensitivity (81.7%), specificity (82.6%), and accuracy (82.0%), as well as better performance in both internal and external validations. Furthermore, it demonstrated excellent calibration and clinical utility.

NEU, CRP, Fg, and Cl are effective markers for diagnosing complicated appendicitis in children. The nomogram model can be considered to be incorporated into the diagnosis process of appendicitis as an auxiliary means of surgical intervention decision-making in complex appendicitis cases.

Background: Acute appendicitis is common in the pediatric population and results in frequent inter-hospital transfers. Transferred patients do not have more advanced disease or higher complication rates but undergo more diagnostic testing, incurring higher costs. No scoring systems exist to predict which patients do not require transfer to a dedicated children's hospital for appendicitis evaluation. Methods: A retrospective review was performed of patients ages 5 to 17 years transferred for appendicitis evaluation over a 5-year period. Data included demographics, presenting symptoms, vitals, and laboratory results. Multiple logistic regression analysis was developed on a derivation set (n = 1099) and tested on a sub validation set (n = 215). Odds ratios were used to assign weights. Area under the curve analysis was used to assess accuracy. Results: A total of 1354 patients were transferred; 439 (33.4%) patients were diagnosed with appendicitis. Age ≥10 years (2 points), male gender (2 points), Hispanic ethnicity (1 point), nausea (1 points), vomiting (1 point), absolute neutrophil count ≥7.5 (4 points), and lymphocyte percent ≤20 (1 point) were associated with appendicitis [12 points total]. A score of ≤5 points predicted unnecessary transfer (P < 0.001) with AUC values of 0.802 and 0.772 in the derivation and validation sets, respectively. Sensitivity of 90% and negative predictive value of 90.9% were achieved with score ≤5 points. Discussion: The majority of transferred patients did not have appendicitis. Our scoring system provides a screening tool to reduce unnecessary transfers and inappropriate resource utilization.

To evaluate the utility of combining plain abdominal radiography findings with clinical symptoms for the primary screening of intussusception in children.

A total of 152 children aged < 16 years, who were admitted with suspected intussusception between April, 2008 and October, 2024, were enrolled in this retrospective cohort study. We analyzed the demographic data, clinical symptoms, laboratory findings, and abdominal radiography results of all participants. Logistic regression and receiver operating characteristic curves were used to identify significant predictors and assess the diagnostic performance, respectively.

Intussusception was diagnosed in 90 of the 152 patients. Vomiting (odds ratio [OR], 8.1; 95% confidence interval [CI] 2.1-32.2), intermittent pain (OR 9.8; 95% CI 2.3-41.4), and abdominal radiography positivity (OR 85.1; 95% CI 12.6-575.0) were identified as significant predictors. Abdominal radiography demonstrated a high sensitivity (97%) and negative predictive value (93%). In contrast, combining the three predictors improved the diagnostic specificity and positive predictive value to 95% and 91%, respectively. The combined predictors achieved an area under the curve of 0.92, indicating excellent diagnostic performance.

Combining abdominal radiography findings with clinical symptoms enhances the diagnostic accuracy of intussusception and provides a practical approach for primary screening.

To analyze the clinical characteristics and perforation predictors of appendicitis in infants and toddlers younger than 3 years of age. A retrospective analysis was conducted on the children under 3 years old diagnosed with appendicitis and treated at two centers between March 2018 and May 2024. Based on pathological findings, patients were divided into perforated and non-perforated groups. Further classification was based on the presence or absence of post-appendectomy abscess, resulting in three groups: non-perforated, perforated with post-appendectomy abscess, and perforated without post-appendectomy abscess. Among 72 children with appendicitis, 45 were male (62.5%) and 27 were female (37.5%), with a median age of 31.0 (IQR, 27.0-34.0) months and an average weight of 13.7 ± 2.7 kg. Abdominal ultrasound had a positivity rate of 69.4% (50/72), and 22 patients underwent additional CT scans. All cases were treated with laparoscopic appendectomy, without conversions to open surgery. Perforated appendicitis was diagnosed in 58 cases (80.6%), and non-perforated appendicitis in 14 cases (19.4%). The median symptom duration (48.0 vs. 21.0 h; p < 0.01), CRP levels (70.5 vs. 22.0 mg/L; p < 0.05), and incidence of appendicoliths were significantly higher in the perforated group (p < 0.05). Post-appendectomy abscess was the most common complication, with appendicoliths and prolonged symptom duration being significant risk factors (p < 0.05). The perforated group with post-appendectomy abscess had a significantly longer median hospital stay than the non-perforated group (12.0 vs. 6.0 days; p < 0.01). ROC analysis identified CRP (AUC 0.69, cutoff 34.5 mg/L; p < 0.05) and symptom duration (AUC 0.74, cutoff 35 h; p < 0.01) as predictors of perforation. The high perforation rate of appendicitis in infants and toddlers is associated with prolonged symptoms, elevated CRP, and appendicoliths. Extended symptom duration and appendicoliths increase the risk of post-appendectomy abscesses.

Appendicitis is the most common surgical emergency in pediatric patients, requiring timely diagnosis to prevent complications. This study introduces an innovative approach by integrating clinical, laboratory, and imaging features with advanced machine-learning techniques to enhance diagnostic accuracy in pediatric appendicitis.

A retrospective analysis was conducted on 782 pediatric patients from the Regensburg Pediatric Appendicitis Data set. Clinical scores, laboratory markers, and imaging findings were analyzed. Statistical comparisons were performed using independent t-tests and χ 2 tests, with significance set at p < 0.05. Predictive models, including logistic regression and machine learning classifiers, were developed and evaluated using accuracy, precision, recall, and F1-score.

Significant differences were observed in clinical scores (e.g., Alvarado Score and Pediatric Appendicitis Score) and laboratory markers (e.g., WBC count and neutrophil percentage) between appendicitis (AA) and non-appendicitis (Non-AA) groups (p < 0.001). Imaging features, including appendix diameter, also demonstrated diagnostic value. Among predictive models, the Random Forest classifier achieved the highest accuracy (94.5%), with strong precision (93.8%) and recall (95.2%) for appendicitis diagnosis.

This study represents a novel application of machine learning models, particularly Random Forest, to enhance diagnostic accuracy for pediatric appendicitis. The integration of clinical, laboratory, and imaging features offers a comprehensive and precise diagnostic framework. Further validation in diverse populations is recommended.

Diagnostic stewardship is the effort to optimize diagnostic testing to reduce errors while avoiding overtesting and overtreatment. Abdominal pain and appendicitis in children are essential use cases. Delayed diagnosis of appendicitis can be dangerous and even life-threatening, but overtesting is harmful.

We conducted a retrospective cohort study of children aged 5-17 years presenting with abdominal pain to 26 EDs within the Michigan Emergency Department Improvement Collaborative (MEDIC) from May 1, 2016, to February 29, 2024. We defined two outcome measures summarized by ED. First, we describe the cross-sectional imaging:appendicitis visits ratio, defined as the count of ED visits resulting in any cross-sectional imaging (CT or MRI) divided by the count of ED visits with a diagnosis of appendicitis. Second, we describe the delayed diagnosis rate, defined by an ED visit for abdominal pain resulting in a discharge and subsequent return visit with a diagnosis of appendicitis within 7 days.

The sample included 120,112 pediatric visits for abdominal pain at 26 EDs; 4967 (4.1%) were diagnosed with appendicitis. The cross-sectional imaging:appendicitis visits ratio varied by site, from as low as 0.2 (95% confidence interval [CI] 0.1-0.2) at a pediatric site to as high as 7.9 (95% CI 4.8-16.4) at an urban ED. The proportion of pediatric ED visits for abdominal pain that resulted in an identified delayed diagnosis of appendicitis was 0.1% (141/120,112). All but four sites had fewer than 10 cases of delayed diagnosis across the study period.

In this retrospective cohort study of 120,000+ ED visits for pediatric abdominal pain, we found that the ratio of visits with cross-sectional imaging to diagnosed cases of appendicitis varied widely across EDs. Delayed diagnosis of appendicitis was uncommon. Adherence to best practices and improved imaging quality may hold promise to improve diagnostic stewardship for children with abdominal pain across EDs.

This study evaluates the effectiveness of machine learning (ML) algorithms for improving the preoperative diagnosis of acute appendicitis in children, focusing on the accurate prediction of the severity of disease.

An anonymized clinical and operative dataset was retrieved from the medical records of children undergoing emergency appendectomy between 2014 and 2021. We developed an ML pipeline that pre-processed the dataset and developed algorithms to predict 5 appendicitis grades (1 - non-perforated, 2 - localized perforation, 3 - abscess, 4 - generalized peritonitis, and 5 - generalized peritonitis with abscess). Imputation strategies were used for missing values and upsampling techniques for infrequent classes. Standard classifier models were tested. The best combination of imputation strategy, class balancing technique and classification model was chosen based on validation performance. Model explainability was verified by a pediatric surgeon. Our model's performance was compared to another pediatric appendicitis severity prediction tool.

The study used a retrospective cohort including 1980 patients (60.6 % males, average age 10.7 years). Grade of appendicitis in the cohort was as follows: grade 1-70 %; grade 2-8 %; grade 3-7 %; grade 4-7 %; grade 5-8 %. Every combination of 6 imputation strategies, 7 class-balancing techniques, and 5 classification models was tested. The best-performing combined ML pipeline distinguished non-perforated from perforated appendicitis with 82.8 ± 0.2 % NPV and 56.4 ± 0.4 % PPV, and differentiated between severity grades with 70.1 ± 0.2 % accuracy and 0.77 ± 0.00 AUROC. The other pediatric appendicitis severity prediction tool gave an accuracy of 71.4 %, AUROC of 0.54 and NPV/PPV of 71.8/64.7.

Prediction of appendiceal perforation outperforms prediction of the continuum of appendicitis grades. The variables our models primarily rely on to make predictions are consistent with clinical experience and the literature, suggesting that the ML models uncovered useful patterns in the dataset. Our model outperforms the other pediatric appendicitis prediction tools. The ML model developed for grade prediction is the first of this type, offering a novel approach for assessing appendicitis severity in children preoperatively. Following external validation and silent clinical testing, this ML model has the potential to enable personalized severity-based treatment of pediatric appendicitis and optimize resource allocation for its management.

Background Acute appendicitis in preschool children remains a diagnostic challenge despite advanced imaging techniques' widespread availability. The majority of these children come late, often with complications such as appendicular perforation, abscess development, and peritonitis. As a consequence, hospital stays are lengthy and linked with an increase in morbidity and mortality. In this research, we aim to predict the factors of acute appendicitis and its outcomes among the pediatric age group. Methods We conducted a retrospective study at the Maternity and Children's Hospital, Al Ahsa, Saudi Arabia, from 2022 to 2023 by reviewing the medical records of pediatric patients younger than 14 years admitted to the ER with acute appendicitis. We divided the patients into either complicated or simple appendicitis. We compared the two groups in terms of baseline characteristics, symptoms, and signs by using the Pediatric Appendicitis Score, duration of symptoms, and length of hospital stay as factors, and we assessed the significant predictive factors for the diagnosis of the type of appendicitis and length of hospital stay. Results During the study period, 246 children with a mean age of 10.1 ± 2.2 years and a male predominance of 171 (69.5%) presented with appendicitis. Simple appendicitis affected half of the participants (137, 55.7%) compared to complicated (76, 30.9%). Thirty-three children (13.4%) had a normal appendix. Complex appendicitis affected 76 (30.9%) of cases. Of those who received conservative treatment, 105 (42.7%) had a failure rate of 32 (30.5%). The mean hospital stay was 5.5 ± 4.0 days. Children under five years with complicated appendicitis had high appendicitis scores (p = < 0.05). Conclusion The predictive factors for pediatric appendicitis diagnosis are helpful in identifying those children who require intervention. However, the most crucial diagnostic instruments for determining the diagnosis of appendicitis in children are still the clinical signs and a physical abdominal examination.

Acute abdominal pain (AAP) constitutes 5-10% of all emergency department (ED) visits, with appendicitis being a prevalent AAP etiology often necessitating surgical intervention. The variability in AAP symptoms and causes, combined with the challenge of identifying appendicitis, complicate timely intervention. To estimate the risk of appendicitis, scoring systems such as the Alvarado score have been developed. However, diagnostic errors and delays remain common. Although various machine learning (ML) models have been proposed to enhance appendicitis detection, none have been seamlessly integrated into the ED workflows for AAP or are specifically designed to diagnose appendicitis as early as possible within the clinical decision-making process. To mimic daily clinical practice, this proof-of-concept study aims to develop ML models that support decision-making using comprehensive clinical data up to key decision points in the ED workflow to detect appendicitis in patients presenting with AAP.

Data from the Dutch triage system at the ED, vital signs, complete medical history and physical examination findings and routine laboratory test results were retrospectively extracted from 350 AAP patients presenting to the ED of a Dutch teaching hospital from 2016 to 2023. Two eXtreme Gradient Boosting ML models were developed to differentiate cases with appendicitis from other AAP causes: one model used all data up to and including physical examination, and the other was extended with routine laboratory test results. The performance of both models was evaluated on a validation set (n = 68) and compared to the Alvarado scoring system as well as three ED physicians in a reader study.

The ML models achieved AUROCs of 0.919 without laboratory test results and 0.923 with the addition of laboratory test results. The Alvarado scoring system attained an AUROC of 0.824. ED physicians achieved AUROCs of 0.894, 0.826, and 0.791 without laboratory test results, increasing to AUROCs of 0.923, 0.892, and 0.859 with laboratory test results.

Both ML models demonstrated comparable high accuracy in predicting appendicitis in patients with AAP, outperforming the Alvarado scoring system. The ML models matched or surpassed ED physician performance in detecting appendicitis, with the largest potential performance gain observed in absence of laboratory test results. Integration could assist ED physicians in early and accurate diagnosis of appendicitis.

The aim of this research was to develop and internally validate a nomogram for forecasting the length of hospital stay following laparoscopic appendectomy in pediatric patients diagnosed with appendicitis.

We developed a prediction model based on a training dataset of 415 pediatric patients with appendicitis, and hospitalization data were collected retrospectively from January 2021 and December 2022. The primary outcome measure in this study was hospital length of stay (LOS), with prolonged LOS defined as admission for a duration equal to or exceeding the 75th percentile of LOS, including the discharge day. Risk factor analysis was conducted through univariate and multivariate logistic regression analyses. Based on the regression coefficients, a nomogram prediction model was developed. The discriminative performance of the predicting model was evaluated using the C-index, and an adjusted C-index was computed through bootstrapping validation. Calibration curves were generated to assess the accuracy of the nomogram. Decision curve analysis was conducted to determine the clinical utility of the predicting model.

Predictors contained in the prediction nomogram included Age, neutrophil-to-lymphocyte ratio, C-reactive protein level, operative time, appendiceal fecalith, and drainage tube. The C-index of the prediction nomogram was determined to be 0.873 (95% CI: 0.838-0.908), with a corrected C-index of 0.8625 obtained through bootstrapping validation (1,000 resamples), indicating the model's favorable discrimination. Calibration curves illustrated a strong agreement between predicted and observed outcomes. According to the decision curve analysis of the nomogram, the predictive model demonstrates a net benefit at threshold probabilities exceeding 2%.

This nomogram, incorporating variables such as Age, neutrophil-to-lymphocyte ratio, C-reactive protein level, operative time, appendiceal fecalith, and drainage tube, offers a convenient method for assessing the duration of hospitalization in pediatric patients with appendicitis.

 In the era of scientific digitalization, online media platforms gain increasing popularity to accomplish research output awareness. The Altmetric Attention Score AAS weights these online mentions based on a privy algorithm. We aimed to characterize the top 100 articles with the highest (AAS) published in pediatric surgery journals.

 Publications from six core pediatric surgery journals were retrieved from www.altmetric.com in January 2023 and ranked by their AAS. The top 101 publications were analyzed for their bibliometric measures, study design, and quality as well as online media mentions.

 The top 101 AAS articles were published between 1974 and 2022, preferentially from the United States (64%) and mainly in Journal of Pediatric Surgery (73%), followed by Journal of Pediatric Surgery Case Reports, Pediatric Surgery International, Seminars in Pediatric Surgery, and European Journal of Pediatric Surgery. Their AAS ranged between 21 and 389 (median: 33), with Twitter/X being mostly responsible for online mentions (n = 2,189; 75%). The number of citations in peer-reviewed journals ranged between 0 and 358 (median: 16) and did not correlate to AAS. Retrospective study design (33%) with low evidence level IV (43%) dominated.

 The Journal of Pediatric Surgery is the main source of high-profile AAS publications in pediatric surgery. The altmetric popularity of articles is predominantly achieved by their propagation via X, irrespective of the study quality and recognition in the scientific community. Thus, active "twitterism" may play the key role to reach high AAS scores.

Acute appendicitis is an ordinary surgical emergency, typically attributed to luminal obstruction by fecaliths or lymphoid hyperplasia. However, ingested foreign bodies as an etiology are rare but increasingly recognized, particularly in pediatric patients. We present the case of a 9-year-old male patient who presented to the emergency department with symptoms consistent with acute appendicitis. Further investigation revealed the presence of a bone fragment within the appendix, leading to acute inflammation. Foreign body ingestion should be considered in pediatric patients with acute appendicitis. This case report underscores the importance of comprehensive clinical evaluation and appropriate diagnostic imaging modalities in guiding optimal treatment strategies.

The objective was to investigate the feasibility of prospectively validating multiple clinical prediction scores (CPSs) for pediatric appendicitis in an Australian pediatric emergency department (ED).

A literature search was conducted to identify potential CPSs and a single-center prospective observational feasibility study was performed between November 2022 and May 2023 to evaluate the performance of identified CPSs. Children 5-15 years presenting with acute right-sided or generalized abdominal pain and clinician suspicion of appendicitis were included. CPSs were calculated by the study team from prospectively clinician-collected data and/or review of medical records. Accuracy of CPSs were assessed by area under the receiver operating characteristic curve (AUC) and proportions correctly identifiable as either low-risk or high-risk with the best performing CPS compared to clinician gestalt. Final diagnosis of appendicitis was confirmed on histopathology or by telephone/email follow-up for those discharged directly from ED.

Thirty CPSs were identified in the literature search and 481 patients were enrolled in the study. A total of 150 (31.2%) patients underwent appendectomy with three (2.0%) having a normal appendix on histopathology. All identified CPSs were calculable for at least 50% of the patient cohort. The pediatric Appendicitis Risk Calculator for pediatric EDs (pARC-ED; n = 317) was the best performing CPS with AUC 0.90 (95% confidence interval [CI] 0.86-0.94) and specificity 99.0% (95% CI 96.4%-99.7%) in diagnosing high-risk cases and a misclassification rate of 4.5% for low-risk cases.

The study identified 30 CPSs that could be validated in a majority of patients to compare their ability to assess risk of pediatric appendicitis. The pARC-ED had the highest predictive accuracy and can potentially assist in risk stratification of children with suspected appendicitis in pediatric EDs. A multicenter study is now under way to evaluate the potential of these CPSs in a broader range of EDs to aid clinical decision making in more varied settings.

Acute appendicitis (AA) is a frequent and emergent surgical abdominal condition that presents some particularities and challenges in young children.

Data of 402 children aged <16 years with a confirmed diagnosis of AA were retrospectively reviewed. Included patients were divided into two groups: Group A (preschool children aged ≤5 years, n = 44) and Group B (school children aged >5 years, n = 358). Clinical presentation, biological findings, calculated diagnosis scores (paediatric appendicitis score [PAS] and Alvarado score), intraoperative findings and outcomes were comparatively analysed between the two groups.

Children of Group A had more likely fever, bowel disorders, diffuse abdominal pain and diffuse tenderness than those of Group B (P = 0.001, P = 0.005, P = 0.006 and P = 0.001, respectively). Regarding biomarkers, the mean of white blood cell count and C-reactive protein levels was higher in Group A than in Group B (18,849 cell/mm3 and 162.8 mg/L in Group A versus 15,938 cell/mm3 and 86.7 mg/L in Group B, P = 0.003 and < 0.001, respectively). The mean of calculated PAS and Alvarado scores was higher in Group A than in Group B (8.2 ± 1.1 and 8.2 ± 1 vs. 7.5 ± 1.4 and 7.4 ± 1.5, P = 0.003 and P = 0.001, respectively). Most children with a calculated PAS and Alvarado score equal to or higher than 8 belonged to Group A (PAS: 84.1% vs. 58.4%, P = 0.001, Alvarado score: 84.1% vs. 55.6%, P < 0.001). The perforation of the appendix was seen in 77.3% of Group A patients and only in 41.5% of children in Group B (P < 0.0001). The mean length of stay was 5.1 ± 1.9 days in Group A and 4.3 ± 2.8 days in Group B but without any statistical difference between the two groups (P = 0.094).

AA in preschool children is associated with atypical presentation and rapid progression of the disease making the early diagnosis mostly challenging in our settings.

Appendicitis is the commonest paediatric surgical emergency. Adult studies suggest non-operative management (NOM) may have a place in care. There have been no adequately powered randomized controlled trials in children.

to determine the safety and efficacy of NOM for paediatric simple appendicitis.

A non-inferiority randomized controlled trial was conducted comparing operative (OM) to NOM of SA in children aged five-15 years. Primary outcome was treatment success (no unplanned or unnecessary operation, or complication) at 30 days and 12 months, with a non-inferiority margin of 15%. (anzctr.org.au: ACTRN12616000788471).

From 11 June 2016 to 30 November 2020, 222 children were randomized: 94 (42.34%) to OM and 128 (57.66%) to NOM. Non-inferiority of NOM was not demonstrated at either time point, with 45.67% of NOM patients subsequently undergoing operation. There was no significant difference in complications.

While noninferiority was not shown, NOM was safe, with no difference in adverse outcomes between the two groups. Further research to refine the place of NOM of simple appendicitis in children is required, including nuanced patient selection, longer term evaluation, the place of choice, and the acceptability of the treatment for children and their carers.

Advanced imaging, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), is an integral component to the evaluation and management of ill and injured children in the emergency department. As with any test or intervention, the benefits and potential impacts on management must be weighed against the risks to ensure that high-value care is being delivered. There are important considerations specific to the pediatric patient related to the ordering and interpretation of advanced imaging. This policy statement provides guidelines for institutions and those who care for children to optimize the use of advanced imaging in the emergency department setting and was coauthored by experts in pediatric and general emergency medicine, pediatric radiology, and pediatric surgery. The intent is to guide decision-making where children may access care.

Pediatric surgical care is becoming increasingly regionalized, often resulting in limited access. Interfacility transfers pose a significant financial and emotional burden to when they are potentially avoidable. Of transferred patients, we sought to identify clinical factors associated with avoidable transfers in pediatric patients with suspected appendicitis.

We performed a single-center retrospective study at an academic tertiary referral children's hospital in an urban setting. We included children who underwent interfacility transfer to our center with a transfer diagnosis of appendicitis from July 1, 2021 to June 30, 2023. Encounters were designated as either an appropriate transfer (underwent appendectomy) or an avoidable transfer (did not undergo appendectomy). Encounters treated nonoperatively for complicated appendicitis were excluded. Bivariate analysis was performed using Mann-Whitney test and chi-square tests.

A total of 444 patients were included: 71.2% were classified as appropriate transfers and 28.8% as avoidable transfers. Patients with avoidable transfer were younger compared to those in the appropriate transfer cohort (median age 9 y, interquartile range: 7-13 versus 11 y, interquartile range: 8-14; P < 0.001). Avoidable transfers less frequently presented with the typical symptoms of fever, migratory abdominal pain, anorexia, and nausea/emesis (P = 0.005). Avoidable transfers also reported shorter symptom duration (P = 0.040) with lower median white blood cell count (P < 0.001), neutrophil percentage (P < 0.001), and C-reactive protein levels (P < 0.003). Avoidable transfers more frequently underwent repeat imaging upon arrival (42.9% versus 12.7%, P < 0.001).

These findings highlight the importance of clinical history in children with suspected appendicitis. Younger patients without typical symptoms of appendicitis, those with a shorter duration of symptoms, and lower serum inflammatory markers may benefit from close observation without transfer.

The aim of this study is to identify risk factors associated with acute complicated appendicitis (CA) in children aged three years or younger, providing a theoretical foundation for the management and treatment of acute appendicitis (AA).

A retrospective analysis was conducted on 135 pediatric patients with AA, admitted to the Department of General Surgery at Anhui Children's Hospital between December 2020 and December 2023, who underwent successful surgical treatment. Based on the intraoperative and postoperative pathological findings, patients were categorized into two groups: complicated appendicitis (CA) (n = 97 cases) and uncomplicated appendicitis (UA) (n = 38 cases). Clinical data including gender, age, weight, disease duration, preoperative white blood cell count (WCC), neutrophil granulocyte (NEUT) count, C-reactive protein (CRP) levels, total bilirubin (TBil) levels, procalcitonin (PCT) levels, calprotectin (Cal) levels, preoperative ultrasound results indicating the presence or absence of fecaliths, maximum appendix diameter, and pediatric appendicitis sore (PAS) were collected and analyzed. Comparative analysis was performed to investigate the differences between the groups and identify risk factors of CA.

The CA group exhibited significantly higher values in disease duration, CRP levels, PCT, Cal, presence of appendiceal fecaliths, maximum appendix diameter, and PAS compared to the UA group (P < 0.05). Multivariate analysis identified CRP levels, maximum appendix diameter, and PAS as independent risk factors for CA. Specifically, differences in CRP level (OR = 1.045, 95% CI:1.024 ~ 1.067, P < 0.001), PAS (OR = 1.768, 95% CI:1.086 ~ 2.879, P = 0.022), and maximum appendix diameter (OR = 1.860, 95% CI:1.085 ~ 3.191, P = 0.024) were significant. The area under the receiver operating characteristic curve values were 0.6776 for the PAS, 0.7663 for CRP, and 0.5604 for the maximum appendix diameter.

CRP levels, PAS, and maximum appendix diameter are independent risk factors for CA in children under three years of age. These parameters are valuable for the early diagnosis of CA.

The ability to rule appendicitis in or out using ultrasound is limited by studies where the appendix is not visualised. We determined whether the absence of indirect ultrasound signs can rule out appendicitis in children undergoing a radiology-performed ultrasound in which the appendix is not visualised METHODS: This was a single-centre retrospective observational study of patients aged 3-13 with a clinical suspicion of acute appendicitis evaluated in a Paediatric Emergency Department in Spain from 1 January 2013 to 31 December 2019. For those patients who had formal ultrasound, direct and indirect findings of ultrasound were abstracted from the ultrasound report. The surgical pathology report was established as the gold standard in patients who underwent an appendectomy. In those who did not, appendicitis was considered not to be present if there was no evidence in their charts that they had undergone an appendectomy or conservative therapy for appendicitis during the episode. The main outcome variable was the diagnosis of acute appendicitis. For patients undergoing ultrasound, the independent association of each indirect ultrasound sign with the diagnosis of appendicitis in patients without a visualised appendix was analysed using logistic regression.

We included 1756 encounters from 1609 different episodes. Median age at the first visit of each episode was 10.1 years (IQR, 7.7-11.9) and 921 (57.2%) patients were men. There were 730 (41.6%) encounters with an Alvarado score ≤3, 695 (39.6%) with a score 4-6 and 331 (18.9%) with a score ≥7. Appendicitis was diagnosed in 293 (17.8%) episodes. Ultrasonography was performed in 1115 (61.6%) encounters, with a visualised appendix in 592 (53.1%).The ultrasound findings independently associated with appendicitis in patients without a visualised appendix were the presence of free intra-abdominal fluid in a small quantity (OR:5.0 (95% CI 1.7 to 14.6)) or in an abundant quantity (OR:30.9 (95% CI 3.8 to 252.7)) and inflammation of the peri-appendiceal fat (OR:7.2 (95% CI 1.4 to 38.0)). The absence of free fluid and inflammation of the peri-appendiceal fat ruled out acute appendicitis in patients with an Alvarado score <7 with a sensitivity of 84.6% (95% CI 57.8 to 95.7) and a negative predictive value of 99.4% (95% CI 97.8 to 99.8).

Patients with an Alvarado score <7 and without a visualised appendix on ultrasound but who lack free fluid and inflammation of the peri-appendiceal fat are at very low risk of acute appendicitis.

The aim of this study was to find statistically valid criteria to preoperatively divide acute appendicitis into simple and complicated to enable surgeons to administer the most appropriate antibiotic prophylaxis/therapy before surgery.

We retrospectively reviewed a cohort of patients who underwent appendectomy from January 2022 to December 2023. Patients included were 0-14 years of age. Exclusion criteria included patients who underwent interval appendectomy or concurrent procedures at the same time of appendectomy. We divided patients into two groups: simple (group S) and complicated (group C) appendicitis according to intraoperative finding. Generalized linear model (GLM) with logit function was developed to identify the predictive variables of the type of appendicitis (S vs C) in terms of CRP value, neutrophils percentage and WBC count adjusted for age and sex of patients. Finally, principal component analysis (PCA) was carried out to identify the cutoff value of statistically significant variables found in the previous analysis.

One hundred and twenty patients were eligible (N female = 49, N male = 71) for the study. 74 and 46 patients were included in groups S and C, respectively. In a preliminary analysis using univariate and multivariate GLM, only CRP (p value =  < 0.001) and neutrophils percentage (p value = 0.02) were predictive variables for the type of appendicitis. The GLM shows a statistical lower value of CRP (adjusted odds ratio [OR] per unit, 0.17 [95% CI, 0.08-0.39]) and neutrophil percentage (adjusted OR per unit, 0.37 [95% CI, 0.16-0.86]) in the S group compared to C adjusted to age and sex. PCA analysis revealed a P-ROC cutoff of 4.2 mg/dl and 80.1 of CRP value (AUC = 84%) and neutrophil percentage (AUC = 70%), respectively.

We will perform a prospective study giving preoperative prophylactic cefazolin to patients with a CRP value under 4.2 mg/dl and amoxicillin-clavulanate therapy to patient with CRP value over 4.2 mg/dl.

Advanced imaging, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), is an integral component to the evaluation and management of ill and injured children in the emergency department. As with any test or intervention, the benefits and potential impacts on management must be weighed against the risks to ensure that high-value care is being delivered. There are important considerations specific to the pediatric patient related to the ordering and interpretation of advanced imaging. This policy statement provides guidelines for institutions and those who care for children to optimize the use of advanced imaging in the emergency department setting and was coauthored by experts in pediatric and general emergency medicine, pediatric radiology, and pediatric surgery. The intent is to guide decision-making where children may access care.

Advanced imaging, including ultrasonography, computed tomography, and magnetic resonance imaging, is an integral component to the evaluation and management of ill and injured children in the emergency department. As with any test or intervention, the benefits and potential impacts on management must be weighed against the risks to ensure that high-value care is being delivered. There are important considerations specific to the pediatric patient related to the ordering and interpretation of advanced imaging. This policy statement provides guidelines for institutions and those who care for children to optimize the use of advanced imaging in the emergency department setting and was coauthored by experts in pediatric and general emergency medicine, pediatric radiology, and pediatric surgery. The intent is to guide decision-making where children may access care.

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging, are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Advanced diagnostic imaging modalities, including ultrasonography, computed tomography, and magnetic resonance imaging (MRI), are key components in the evaluation and management of pediatric patients presenting to the emergency department. Advances in imaging technology have led to the availability of faster and more accurate tools to improve patient care. Notwithstanding these advances, it is important for physicians, physician assistants, and nurse practitioners to understand the risks and limitations associated with advanced imaging in children and to limit imaging studies that are considered low value, when possible. This technical report provides a summary of imaging strategies for specific conditions where advanced imaging is commonly considered in the emergency department. As an accompaniment to the policy statement, this document provides resources and strategies to optimize advanced imaging, including clinical decision support mechanisms, teleradiology, shared decision-making, and rationale for deferred imaging for patients who will be transferred for definitive care.

Acute appendicitis (AA) is the most common emergency general surgical condition worldwide. Diagnosis is challenging and incorporates clinical, biochemical and radiological investigations. Our aim was to provide data from routine practice investigating widely utilised diagnostic methods from a single centre within the United Kingdom.

We conducted a retrospective observational cohort study of patients who underwent a laparoscopic appendicectomy for AA between April 2022 and March 2023. AA was defined as the presence of transmural polymorphonuclear leukocytes in histology. Subgroup analysis was performed on paediatric patients. Factors associated with AA were investigated, and the diagnostic utility of biochemical and radiological investigations was examined.

A total of 330 appendicectomies were analysed. We found an overall negative appendicectomy rate (NAR) of 38% and 48% in paediatric patients. Independent factors associated with AA on the multivariate analysis included elevated neutrophil counts (>7 × 109/L) (OR 4.04), elevated CRP (>5 mg/L) (OR 3.04) and a radiological diagnosis (OR 8.0). Computerised tomography (CT) and ultrasound had sensitivity/specificity of 98%/47% and 35%/86%, respectively. The positive-predictive values were 85% for CT and 50% for ultrasound, and the negative-predictive values were 86% for CT and 77% for ultrasound.

Our study has highlighted the importance of utilising a combination of factors to improve the diagnostic certainty of AA. However, our routine practice data have shown different sensitivities and specificities of imaging in comparison to existing literature, resulting in a high NAR. Further real-world data are needed to understand whether these differences from the existing data are seen in other clinical settings.

Acute appendicitis is a common and time-sensitive surgical emergency, requiring rapid and accurate diagnosis and management to prevent complications. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering significant potential to improve the diagnosis and management of acute appendicitis. This review provides an overview of the evolving role of AI in the diagnosis and management of acute appendicitis, highlighting its benefits, challenges, and future perspectives.

We performed a literature search on articles published from 2018 to September 2023. We included only original articles.

Overall, 121 studies were examined. We included 32 studies: 23 studies addressed the diagnosis, five the differentiation between complicated and uncomplicated appendicitis, and 4 studies the management of acute appendicitis.

AI is poised to revolutionize the diagnosis and management of acute appendicitis by improving accuracy, speed and consistency. It could potentially reduce healthcare costs. As AI technologies continue to evolve, further research and collaboration are needed to fully realize their potential in the diagnosis and management of acute appendicitis.

Data science approaches personalizing pediatric appendicitis management are hampered by small datasets and unstructured electronic medical records (EMR). Artificial intelligence (AI) chatbots based on large language models can structure free-text EMR data. We compare data extraction quality between ChatGPT-4 and human data collectors.

To train AI models to grade pediatric appendicitis preoperatively, several data collectors extracted detailed preoperative and operative data from 2100 children operated for acute appendicitis. Collectors were trained for the task based on satisfactory Kappa scores. ChatGPT-4 was prompted to structure free text from 103 random anonymized ultrasound and operative records in the dataset using the set variables and coding options, and to estimate appendicitis severity grade from the operative report. A pediatric surgeon then adjudicated all data, identifying errors in each method.

Within the 44 ultrasound (42.7%) and 32 operative reports (31.1%) discordant in at least one field, 98% of the errors were found in the manual data extraction. The appendicitis grade was erroneously assigned manually in 29 patients (28.2%), and by ChatGPT-4 in 3 (2.9%). Across datasets, the use of the AI chatbot was able to avoid misclassification in 59.2% of the records including both reports and extracted data approximately 40 times faster.

AI chatbot significantly outperformed manual data extraction in accuracy for ultrasound and operative reports, and correctly assigned the appendicitis grade. While wider validation is required and data safety concerns must be addressed, these AI tools show significant promise in improving the accuracy and efficiency of research data collection.

Level III.

Appendicitis is the most common indication for urgent surgery in the pediatric population, presenting across a range of severity and with variable complications. Differentiating simple appendicitis (SA) and perforated appendicitis (PA) on presentation may help direct further diagnostic workup and appropriate therapy selection, including antibiotic choice and timing of surgery.

To provide a mechanistic understanding of the differences in disease severity of appendicitis with the objective of developing improved diagnostics and treatments, specifically for the pediatric population.

The Gene Expression Profiling of Pediatric Appendicitis (GEPPA) study was a single-center prospective exploratory diagnostic study with transcriptomic profiling of peripheral blood collected from a cohort of children aged 5 to 17 years with abdominal pain and suspected appendicitis between November 2016 and April 2017 at the Alberta Children's Hospital in Calgary, Alberta, Canada, with data analysis reported in August 2023. There was no patient follow-up in this study.

SA, PA, or nonappendicitis abdominal pain.

Blood transcriptomics was used to develop a hypothesis of underlying mechanistic differences between SA and PA to build mechanistic hypotheses and blood-based diagnostics.

Seventy-one children (mean [SD] age, 11.8 [3.0] years; 48 [67.6%] male) presenting to the emergency department with abdominal pain and suspected appendicitis were investigated using whole-blood transcriptomics. A central role for immune system pathways was revealed in PA, including a dampening of major innate interferon responses. Gene expression changes in patients with PA were consistent with downregulation of immune response and inflammation pathways and shared similarities with gene expression signatures derived from patients with sepsis, including the most severe sepsis endotypes. Despite the challenges in identifying early biomarkers of severe appendicitis, a 4-gene signature that was predictive of PA compared to SA, with an accuracy of 85.7% (95% CI, 72.8-94.1) was identified.

This study found that PA was complicated by a dysregulated immune response. This finding should inform improved diagnostics of severity, early management strategies, and prevention of further postsurgical complications.

Our objective was to determine if there was a significant change in computed tomography (CT) utilization or length of stay (LOS) among patients evaluated for acute appendicitis after implementation of an appendicitis evaluation algorithm.

We conducted a retrospective chart review of patients aged 3-18 years in an urban, tertiary pediatric emergency department with acute abdominal pain, evaluated for appendicitis. Data were collected for 6 months preimplementation and postimplementation of the evaluation algorithm with a 3-month washout period between September 2018 and November 2019. Main outcomes were rate of CT utilization and LOS preimplementation and postimplementation and were analyzed using χ 2 test and Mann-Whitney U test, respectively. Descriptive analysis of demographics was performed, in addition to logistic regression to assess differences between the 2 study periods.

A total of 2872 charts were identified with a chief complaint inclusive of "abdominal pain." Of these, 1510 met age requirements but did not meet at least 1 inclusion criteria; 229 more were excluded upon chart review for a final study sample of 1133 patients. Of these, 648 (57.2%) were female, 747 (65.9%) were White, and 988 (87.2%) were non-Hispanic. The majority of patients (770, 68%) were discharged home from the emergency department without a diagnosis of acute appendicitis. Neither CT (25.7% to 24.8%; P = 0.794) nor ultrasound (59.5% to 59.7%; P = 1.000) utilization significantly changed postimplementation. Total ED median LOS increased significantly (333.50 to 362.00 minutes; P = 0.011). Significant factors associated with CT utilization included fever, migration of pain, and right lower quadrant tenderness. Significant factors associated with appendicitis diagnosis included right lower quadrant pain, nausea/vomiting, migration of pain, and peritoneal signs.

Overall, the appendicitis evaluation algorithm did not significantly decrease CT utilization or LOS. Equivocal grade 2 or 3 ultrasound finding rates were high, likely leading to higher rates of CT utilization and increasing LOS.

The objective of this study was to assess the likelihood of acute appendicitis (AA) in children presenting with abdominal symptoms at the emergency department (ED), based on their prior primary care (PC) consultation history.

Between February and June 2021, we prospectively enrolled all children presenting at the ED with acute abdominal pain indicative of possible acute appendicitis (AA). Subsequently, they were categorized into three groups: those assessed by a PC physician (PG), those brought in by their family without a prior consultation (FG), and those admitted after a PC consultation without being assessed as such. The primary objective was to assess the probability of AA diagnosis using the Pediatric Appendicitis Score (PAS). Secondary objectives included analyzing PAS and C-reactive protein (CRP) levels based on the duration of pain and final diagnoses.

124 children were enrolled in the study (PG, n = 56; FG, n = 55; NG, n = 13). Among them, 29 patients (23.4%) were diagnosed with AA, with 13 cases (23.2%) from the PG and 14 cases (25.4%) from the FG. The mean PAS scores for AA cases from the PG and FG were 6.69 ± 1.75 and 7.57 ± 1.6, respectively, (p = 0.3340). Both PAS scores and CRP levels showed a significant correlation with AA severity. No cases of AA were observed with PAS scores < 4.

There was no significant difference in PAS scores between patients addressed by PG and FG, even though PAS scores tended to be higher for patients with AA. We propose a new decision-making algorithm for PC practice, which incorporates inflammatory markers and pain duration.

Institutional Ethics Committee registration number: 447-2021-103 (10/01/2021).

ClinicalTrials.gov Identifier: NCT04885335 (Registered on 13/05/2021).

Foreign body aspiration (FBA) is a common cause of pediatric morbidity, but a standardized protocol to guide decision-making about bronchoscopy is lacking. We aimed to validate a new Foreign body aspiration score (FOBAS) for the pediatric emergency department (ED). Patients aged 0-18 years referred to the ED for suspected FBA were prospectively enrolled. FOBAS was calculated according to clinical features of a choking episode, sudden cough, exposure to nuts, absence of fever and rhinitis, stridor, and unilateral auscultatory and radiological findings. FBA risk was evaluated based on the total score (low, 1-3; moderate, 4-6; high, 7-10). Low-risk children were discharged from the ED and followed clinically. Moderate-risk children were hospitalized and evaluated by a pediatric pulmonologist, and high-risk children were referred directly for therapeutic bronchoscopy. Among the 100 enrolled children (59% males; median age 20 [interquartile range 11-39] months), a foreign body was diagnosed in 1/49 (2%), 14/41 (34.1%), and 9/10 (90%) with low, moderate, and high FOBAS, respectively (P < .001). Logistic regression indicated a higher risk for FBA with higher scores. The odds ratio for each additional point was 2.75 (95% confidence interval 1.78-4.24), and FOBAS showed a high predictive value for FBA (area under the curve 0.89). FOBAS implementation significantly reduced the rate of negative bronchoscopies, from 67.4% annually during 2016-2019 to 50% in 2020 (P = .042).

FOBAS reliably predicts FBA in cases of suspected FBA and improves management and in-hospital decision-making.

• Foreign body aspiration is a major cause of pediatric morbidity and mortality. • Currently, there is no unified protocol for children referred to the emergency department for suspected FBA, therefore, a well-defined algorithm is needed to improve the decision-making process.

• The pediatric Foreign body aspiration score (FOBAS) is a new, prospectively validated clinical score that shows high sensitivity and specificity for the presence of FBA in children. • FOBAS reduces unnecessary admissions and invasive procedures and leads to better clinical outcomes.

A pilot randomized controlled trial (RCT) conducted in children (2-17 ​y) with perforated appendicitis demonstrated an 89% probability of reduced intra-abdominal abscess (IAA) rate with povidone-iodine (PVI) irrigation, compared with no irrigation (NI). We hypothesized that PVI also reduced 30-day hospital costs.

We conducted a retrospective economic analysis of a pilot RCT. Hospital costs, inflated to 2019 U.S. dollars, were obtained for index admissions and 30-day emergency visits and readmissions. Cost differences between groups were assessed using frequentist and Bayesian generalized linear models.

We observed a 95% Bayesian probability that PVI reduced 30-day mean total hospital costs ($16,555 [PVI] versus $18,509 [NI]; Bayesian cost ratio: 0.90, 95% CrI, 0.78-1.03). The mean absolute difference per patient was $1,954 less with PVI (95% CI, -$4,288 to $379).

PVI likely reduced the IAA rate and 30-day hospital costs, suggesting the intervention is both clinically superior and cost saving.

Acute appendicitis is the most common type of acute abdomen that requires surgical intervention in children. According to general pediatric textbooks, the presence of vomiting before abdominal pain is considered a classic patient history item for excluding acute appendicitis. However, its diagnostic performance in the pediatric population has yet to be investigated.

This was a single-center retrospective observational study involving 134 children who were admitted to the hospital with both abdominal pain and vomiting. The reference standard for appendicitis was defined by computed tomography scanning. The diagnostic performance of "abdominal pain before vomiting" was calculated and compared to those of the Alvarado score and pediatric appendicitis score.

The diagnostic performance of "abdominal pain before vomiting" was as follows: sensitivity of 75.3% (95% confidence interval [CI], 64.7-83.6), specificity of 25.0% (95% CI, 15.5-36.7), positive likelihood ratio of 1.00 (95% CI, 0.82-1.22), negative likelihood ratio of 0.99 (95% CI, 0.54-1.79), and diagnostic odds ratio of 1.02 (95% CI, 0.46-2.25). In contrast, the Alvarado score and pediatric appendicitis score (with a threshold of 4 points) demonstrated favorable sensitivity (98.3% [95% CI, 92.4-99.6]), negative predictive value (94.6% [95% CI, 78.4-98.8]), negative likelihood ratio (0.04 [95% CI, 0.01-0.23]), and diagnostic odds ratio (49.9 [95% CI, 6.88-243.2]).

In this study, "abdominal pain before vomiting" was associated with poor diagnostic performance for ruling out acute pediatric appendicitis. Thus, the diagnosis of acute appendicitis in the pediatric population should be made based on existing validated scoring systems such as the Alvarado score and pediatric appendicitis score.

Appendicitis is among the most frequent reasons for pediatric abdominal surgeries. Previous decision support systems for appendicitis have focused on clinical, laboratory, scoring, and computed tomography data and have ignored abdominal ultrasound, despite its noninvasive nature and widespread availability. In this work, we present interpretable machine learning models for predicting the diagnosis, management and severity of suspected appendicitis using ultrasound images. Our approach utilizes concept bottleneck models (CBM) that facilitate interpretation and interaction with high-level concepts understandable to clinicians. Furthermore, we extend CBMs to prediction problems with multiple views and incomplete concept sets. Our models were trained on a dataset comprising 579 pediatric patients with 1709 ultrasound images accompanied by clinical and laboratory data. Results show that our proposed method enables clinicians to utilize a human-understandable and intervenable predictive model without compromising performance or requiring time-consuming image annotation when deployed. For predicting the diagnosis, the extended multiview CBM attained an AUROC of 0.80 and an AUPR of 0.92, performing comparably to similar black-box neural networks trained and tested on the same dataset.

To prospectively assess the performance of pediatric appendicitis score (PAS) in diagnosing acute appendicitis in the children with lower abdominal pain and correlated with ultrasound findings; and to assess the impact of the PAS on clinical outcome and its efficacy in differentiating between complicated and uncomplicated appendicitis.

A prospective study was done which included cases of lower abdominal pain. Appendectomy was done for PAS ≥ 6, and diagnosis was confirmed on histopathology. A receiver operator characteristic (ROC) curve was created to assess the PAS performance. The sensitivity, specificity, and accuracy of ultrasonography in diagnosing appendicitis were assessed, and analysis of agreement between ultrasonography and PAS score was done by kappa statistics.

Of 260 cases with lower abdominal pain, 205 were suspected of having appendicitis. One hundred fifty-nine had PAS ≥ 6. There were 2/159 (1.26%) cases of negative appendectomies and 2/46 (4.34%) cases of missed appendicitis. The mean PAS was significantly higher in patients with appendicitis than in those without appendicitis. The area under the ROC curve was 0.9925. Sensitivity, specificity, and positive and negative predictive value of PAS were 98.74%, 95.65%, 95.7% and 95.65%, respectively. Complicated appendicitis had significantly more PAS, fever, and cough tenderness than uncomplicated appendicitis. The sensitivity and specificity of ultrasonography were 86.79% and 17.39%, respectively. Agreement between ultrasonography-proven appendicitis and PAS-dependent appendicitis was weak.

PAS has high efficacy in diagnosing acute appendicitis. Clinical outcome was more favorable with the use of PAS. Ultrasonography should be used judiciously and in combination with clinical judgment.

A previously healthy but overweight (body mass index (BMI) of 24.4) adolescent boy presented with fever and significant right-sided abdominal pain. An abdominal ultrasound scan revealed an omental infarction (OI), which was treated conservatively. OI has been described in overweight teenage children with abdominal trauma but can be missed if not considered. A missed diagnosis could result in an unnecessary laparotomy or laparoscopic surgery. Although CT is the gold standard for diagnosis, ultrasonography is an effective approach to identifying OI in children. The benefits of early diagnosis of OI by abdominal ultrasound include a shorter hospital stay and a reduction in unnecessary investigations and surgery.

Sepsis prevention pathways, which often include blood and urine cultures, are common in children's hospitals. Fever and tachycardia, signs often seen in patients with appendicitis, frequently trigger these pathways. We hypothesized that cultures were frequently obtained in children with appendicitis.

We conducted a single-center retrospective cohort study evaluating children with image-confirmed appendicitis from 4/1/2019 to 10/1/2020, coinciding with the initiation of sepsis prevention pathways. Factors associated with culture acquisition, as well as culture results, treatment, and outcomes were evaluated.

Six hundred and fifty eight children presented with acute appendicitis during the 1.5-year period, with a median age of 10.67 years (interquartile range (IQR) 8.17-14.08). Cultures were obtained in 22.9%, including blood culture (BCx) in 8.1% and urine culture (UCx) in 17.9%. Culture acquisition decreased by 17.6% after sepsis protocol initiation. Blood culture acquisition correlated with fever (P = .003) and younger age (P = .03), whereas the attainment of BCx and UCx was associated with female sex (P = .04, P < .0001), complicated appendicitis (P = .0001, P = .03), and unknown diagnosis (P < .0001, P < .0001). There were five positive UCx (4.24%); however, all remained asymptomatic despite a short antibiotic duration dictated by institutional appendicitis protocol. The one positive BCx (1.89%) was suspected contamination and not treated.

The findings of this cohort suggest a low incidence of positive culture as well as lack of impact on clinical management in image-proven appendicitis and the initiation of a sepsis bundle without automatic culture acquisition may result in decreased culture attainment.

 Diagnosing appendicitis in young children (0-12 years) still poses a special difficulty despite the advent of radiological investigations. Few scoring models have evolved and been applied worldwide, but with significant fluctuations in accuracy upon validation.

 To utilize artificial intelligence (AI) techniques to develop and validate a diagnostic model based on clinical and laboratory parameters only (without imaging), in addition to prospective validation to confirm the findings.

 In Stage-I, observational data of children (0-12 years), referred for acute appendicitis (March 1, 2016-February 28, 2019, n = 166), was used for model development and evaluation using 10-fold cross-validation (XV) technique to simulate a prospective validation. In Stage-II, prospective validation of the model and the XV estimates were performed (March 1, 2019-November 30, 2021, n = 139).

 The developed model, AI Pediatric Appendicitis Decision-tree (AiPAD), is both accurate and explainable, with an XV estimation of average accuracy to be 93.5% ± 5.8 (91.4% positive predictive value [PPV] and 94.8% negative predictive value [NPV]). Prospective validation revealed that the model was indeed accurate and close to the XV evaluations, with an overall accuracy of 97.1% (96.7% PPV and 97.4% NPV).

 The AiPAD is validated, highly accurate, easy to comprehend, and offers an invaluable tool to use in diagnosing appendicitis in children without the need for imaging. Ultimately, this would lead to significant practical benefits, improved outcomes, and reduced costs.

Acute appendicitis is the leading cause of emergency pediatric surgical admissions in the world. The diagnosis is may be difficult and is often dependent on clinical parameters. This study was aimed at reviewing the clinical presentations, the management and outcomes in children with inflamed and phlegmonous appendicitis with reference to the operative findings.

The records of 211 children 5 to 15 years of age who were operated for acute appendicitis with intra operative findings of inflamed or phlegmonous appendicitis who met inclusion criteria were entered and analyzed using SPSS (IBM) V.26. Descriptive and regression tests were done with p < 0.05 considered statistically significant.

Of 211 children with inflamed and phlegmonous appendicitis, the M: F was 1.48:1 with a median age of 11 years. 58.3% of them presented within 24 h with the commonest symptoms being right lower abdominal pain, anorexia, and vomiting (96.2%,96.2%, 85.3%,) respectively. 96.7% of them had right lower abdominal tenderness. 73% had neutrophils ≥ 75%, and of 171 patients who had abdominal ultrasound scan, 97.7% showed appendiceal diameter ≥ 6 mm. Intraoperatively 56.4% of them were found to have phlegmonous appendicitis. In a retrospective Pediatric Appendiceal Score, only 52.6% of patients fall into the high-risk category, who could be confirmed on preoperative clinical assessment. Postoperatively 90% of them discharged improved with a mean hospital stay of 2.26(SD = 0.9) days. There was no association between the sex of the child and the intraoperative finding of inflamed or phlegmonous appendicitis (p = 0.77).

Pediatric appendicitis affects more male children in their second decade of life. Most had phlegmonous appendicitis and presented within 24 h. Duration of illness has little effect on the progress of appendicitis. Surgical management is safe for inflamed and phlegmonous appendicitis with a reasonable hospital stay and a low rate of complications.

Foreign Body Aspiration (FBA) is a common medical emergency among young children, but the evaluation and management of a suspected FBA case can vary across physicians and centers. We aimed to identify which clinical, laboratory, and radiological findings can predict FBA in children and to evaluate a clinical score to improve FBA prediction. This is a retrospective cohort study of patients aged 0-18 years admitted to Soroka University Medical Center between 2010 and 2020 with suspected FBA. All patients underwent flexible bronchoscopy and were divided into positive and negative FBA groups. A newly developed foreign body aspiration score (FOBAS), based on medical history, physical examination, and chest X-ray findings, was evaluated for its predictability. The study included 412 children (median age 21 months, 56.8% females), of whom 154 (37.4%) had FBA and 258 (62.6%) did not. Multivariate regression analysis showed exposure to nuts/seeds, unilateral wheezing or decreased breath sounds, stridor, and suggestive findings on chest X-ray were significant risk factors for FBA (OR [95%CI] -1.994[1.290-3.082], 1.487[1.206-1.832], 1.883 [1.011-3.509] and 2.386[1.917-2.970], respectively). However, a choking episode, acute cough, and absence of fever and rhinorrhea did not predict FBA. FOBAS showed an increased risk of FBA for each additional point of the score, with an odds ratio of 1.572 (95% CI-1.389-1.799).  Conclusion: FOBAS is a good predictor for the presence of FBA in children. Once prospectively validated, FOBAS could aid in decision-making at the emergency department, enabling more standardized care, reducing unnecessary procedures, and leading to better clinical outcomes. What is Known: • The evaluation and management of a child with suspected foreign body aspiration (FBA) vary across physicians and centers, without a consensus regarding the indications and criteria for performing bronchoscopy. • Flexible bronchoscopy is the standard procedure for the diagnosis and sometimes treatment of FBA in children, but it may hold potential complications. What is New: • We propose a newly developed foreign body aspiration score (FOBAS), based on medical history, physical examination, and chest X-ray findings, for the prediction of FBA in children at the emergency department. • The FOBAS is a good predictor of FBA in children. The score enables more standardized care and may reduce unnecessary procedures.

Paediatric appendicitis may be challenging to diagnose, and outcomes difficult to predict. While diagnostic and prognostic scores exist, artificial intelligence (AI) may be able to assist with these tasks.

A systematic review was conducted aiming to evaluate the currently available evidence regarding the use of AI in the diagnosis and prognostication of paediatric appendicitis. In accordance with the PRISMA guidelines, the databases PubMed, EMBASE, and Cochrane Library were searched. This review was prospectively registered on PROSPERO.

Ten studies met inclusion criteria. All studies described the derivation and validation of AI models, and none described evaluation of the implementation of these models. Commonly used input parameters included varying combinations of demographic, clinical, laboratory, and imaging characteristics. While multiple studies used histopathological examination as the ground truth for a diagnosis of appendicitis, less robust techniques, such as the use of ICD10 codes, were also employed. Commonly used algorithms have included random forest models and artificial neural networks. High levels of model performance have been described for diagnosis of appendicitis and, to a lesser extent, subtypes of appendicitis (such as complicated versus uncomplicated appendicitis). Most studies did not provide all measures of model performance required to assess clinical usability.

The available evidence suggests the creation of prediction models for diagnosis and classification of appendicitis using AI techniques, is being increasingly explored. However, further implementation studies are required to demonstrate benefit in system or patient-centred outcomes with model deployment and to progress these models to the stage of clinical usability.