Islam provides strong support for infants to be breastfed, including for wet nursing where mothers are unable to breastfeed. Amongst those infants who may be in need of breastmilk from another woman are small vulnerable newborns. These infants can benefit from donor human milk from a human milk bank (HMB). However, in Islamic contexts, HMBs must be both medically and religiously safe and take account of the religious principle of milk kinship whereby the consumption of breastmilk can create a family relationship between the donor mother and the infant. This paper explores the variety of circumstances under which milk kinship may be created and highlights the two main pathways followed by HMBs to ensure religious safety. It presents the case of the KK HMB in Singapore as an example demonstrating how close collaboration between medical and religious authorities can enable HMBs to provide donor human milk to small vulnerable newborns. Finally, key processes for HMB establishment in the context of Islamic milk kinship are outlined including partnering with key religious leaders, knowing and working with local understandings of milk kinship, ensuring clear communication, proactively addressing community concerns and designing and adapting HMB processes to ensure religious requirements can be maintained.

Hypoalbuminemia is commonly observed in patients with severe Coronavirus Disease 2019 (COVID-19) and is independently associated with adverse outcomes. However, the efficacy of albumin administration on the clinical prognosis of these patients remains uncertain.

This multicenter retrospective study enrolled 458 patients with severe COVID-19 in four medical centers from December 1, 2022, to June 1, 2024. Clinical features and laboratory variables were collected through electronic medical records. The cohorts were divided into two groups: albumin administration and non-albumin administration. Propensity score matching (PSM) was used for minimizing confounding effect. Statistical analyses were conducted to assess the relationship between early albumin administration and 28-day mortality.

Four hundred and fifty-eight severe COVID-19 cases were included in the study, of which 167 (36.5%) received early albumin administration, while 291 (63.5%) did not. Among these patients, 140 experienced in-hospital mortality and 318 survived. Compared to survivors, non-survivors exhibited significantly lower serum albumin levels (29.1g/L vs.33.8g/L, p < 0.05). In comparison to patients with admission albumin levels ≥30 g/L, those with albumin levels <30 g/L had a significantly higher in-hospital mortality (48.4% vs 21.1%, p < 0.001). Prior to PSM, the albumin administration group demonstrated significantly higher 28-day and in-hospital cumulative survival rates compared to the non-albumin group (both p < 0.001). However, no significant differences were observed between the two groups following PSM (p = 0.21 and p = 0.41, respectively).

Hypoalbuminemia was correlated with adverse outcomes in severe COVID-19 patients. However, early albumin administration did not reduce 28-day mortality and in-hospital mortality in these patients, and more relative RCTs were required for validation.

Background/Objectives: Chronic kidney disease (CKD) patients are at an increased risk for severe outcomes following a COVID-19 infection. However, the long-term impact of prior COVID-19 on survival in this population remains unclear. This study evaluates the association between a prior COVID-19 infection, echocardiographic parameters, and mortality in CKD patients over a 24-month follow-up period. Methods: A prospective cohort study was conducted on 239 CKD patients, including those on hemodialysis. A Kaplan-Meier survival analysis and Cox proportional hazards models were used to assess the impact of COVID-19, age, and comorbidities on the mortality rate. A mediation analysis examined the role of age and the echocardiographic parameters in this relationship. Results: Kaplan-Meier curves demonstrated a significantly lower 24-month survival probability in the COVID-19 group compared to controls (72.5% vs. 87.1%, p = 0.01), particularly in hemodialysis patients (62.5% vs. 83.8%, p = 0.01). In contrast, no significant survival difference was observed in the non-dialysis CKD patients (p = 0.52). A multivariate Cox analysis confirmed age as the key mediator, with COVID-19 losing significance after the age adjustment (p = 0.05). An echocardiographic analysis identified left and right ventricular dysfunction as independent mortality predictors, with right ventricular dysfunction partially mediating the COVID-19-mortality relationship. Conclusions: COVID-19 significantly reduces the survival rate in CKD patients, while left and right dysfunction are strong predictors of mortality. Age partially mediates the relationship between COVID-19 and mortality, but COVID-19 remains an independent risk factor. These findings underscore the need for cardiac function monitoring in post-COVID-19 CKD patients to improve long-term outcomes.

Background/Objectives: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused post-acute sequelae, especially for people with pre-existing conditions, including chronic kidney disease (CKD), which may impact the cardiovascular system. Yet, despite the preliminary description of the general population's long-COVID-19 consequences, data on CKD patients is scarce. The aim of this study was to investigate the longitudinal effects of COVID-19 on echocardiographic parameters of cardiac function and on cardiac biomarkers in patients with CKD. Methods: A total of 163 patients were included in this observational prospective trial (listed under NCT05125913 code): 88 in the COVID-19 group and 75 in the control group. The serial echocardiographic characteristics in patients who survived beyond one year, focused on left and right ventricular systolic function, together with cardiac biomarkers evolution, were compared between the two groups. Results: At baseline, there were no significant differences in left ventricular (LV) function parameters, except for a higher Tei Index in the COVID-19 group (p < 0.01). Right ventricular (RV) systolic dysfunction was more frequent in the COVID-19 group, with worse fractional area change (FAC) (p = 0.01), RV free wall longitudinal strain (RVFWLS) (p = 0.01), and RV Tei Index (p = 0.01). Over time, the control group showed a decline in LV ejection fraction (EF), while the COVID-19 group slightly improved. RV global systolic function was better preserved in the COVID-19 group. To the best of our knowledge, this is the first study that demonstrates a statistically significant increase in LAVi in patients with COVID-19. Conclusions: Prior COVID-19 infection influenced the trajectory of LV and RV function in CKD patients over 12 months, suggesting potential transient myocardial adaptations. While overall cardiac function did not differ significantly between groups, COVID-19 survivors exhibited better preservation of some ventricular function parameters.

Elevated concentrations of IL-10 have been detected in coronavirus disease (COVID-19) patients and are a possible disease severity marker. Single nucleotide variants (SNVs) and their haplotypes can be associated with differences in IL-10 levels and with viral disease susceptibility.

Evaluate the associations of SNVs and their haplotypes in Brazilian patients with COVID-19 severity and outcome.

In this cross-sectional and case-control study, the patients were selected from the University Hospital of State University of Londrina (HU-UEL) (n = 367) and were subdivided into mild (n = 165), moderate (n = 72) and severe (n = 130) groups. The DNA samples of the participants were subjected to real-time PCR for the detection of rs1800896 (A>G), rs1800871 (C>T) and rs1800872 (C>A) genotypes. The haplotypes were inferred with PHASE v2.1.1.

The severe cases of COVID-19 were independently associated with the GG genotype (rs1800896) (P = 0.038, OR 2.522, 95 % CI 1.053-6.038) as well as with the GCC haplotype in homozygosity (P = 0.037, OR 2.767, 95 % CI 1.065-7.191).

These results showed that the GG genotype of rs1800896 or the GCC haplotype are associated with COVID-19 severity in Brazilian patients.

The study aimed to assess the effect of COVID-19 on hepatic lipid (HL) content, fibrosis risk, and adiposity in persons with type 2 diabetes.

Participants with type 2 diabetes with a history of mild COVID-19 (n=15, age 58±12 years, body mass index 30.9±5.2 kg/m2) were examined before (baseline) and 1 year (12±2 months) after (follow-up) recovery from COVID-19. Investigations for changes in metabolic risk comprised clinical examination, fasting blood sampling and MR-based measurements. Potential changes were corrected with the time course of the respective parameters in a group of participants who did not contract COVID-19 over the same time course (n=14, 61±6 years, 30.0±4.6 kg/m2).

COVID-19 resulted in a relative increase in HL content of 56% (95% CI 18%, 106%; p=0.04) measured as proton density fat fraction (HL-PDFF), corrected for the time course in the absence of COVID-19. While no changes in hepatic stiffness and volume, intramyocellular lipids, whole-body, subcutaneous and visceral adipose tissue volumes as well as homeostatic model assessment of insulin resistance and beta-cell function were observed.

History of COVID-19 in persons with type 2 diabetes is associated with higher HL-PDFF after 1 year following recovery from infection.

NCT01055093.

Coronavirus 2019 (COVID-19) infection has a significant mortality rate. Despite the disease's extensive effects, little is known about the prognostic indicators that can be used. We aimed to assess the prognostic value of neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-C-reactive protein ratio (LCR) and platelet-to- lymphocyte ratio (PLR) in predicting mortality of intensive care unit (ICU) patients. Demographic data, underlying diseases, laboratory parameters were evaluated. The study included 222 cases. The mortality rate was 57.65%. No significant differences in terms of sex, age, or underlying disease were observed between the two groups with and without mortality. Obesity, oxygen therapy, invasive mechanical ventilation (IMV) rates and high SOFA (Sequential Organ Failure Assessment) scores were found to be significantly higher in the group with a mortal course. The mortality rate was significantly higher in patients with lung involvement over 50%, with a low lymphocyte count at ICU admission. In this patient group, NLR was found to be higher, and LCR was found to be lower (P = .001). Although there was no significant difference in PLR between the two groups in univariate analysis, multivariate analysis revealed that PLR was independently associated with mortality. High NLR and low LCR values at ICU admission might serve as early warning signs for healthcare providers, allowing them to identify patients at higher risk of mortality.

Few studies have investigated the risks of developing intubation and death in patients seen in the emergency department (ED) with COVID-19 and pre-existing asthma. We conducted a retrospective cohort study using data from the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) from March 1st, 2020, to December 31st, 2021. Inclusion criteria were age ≥18 and a positive SARS-CoV-2 test. The primary outcome was a composite of intubation or death, and the secondary outcome was severe COVID-19, as defined by the World Health Organization. Multivariable modified Poisson regression was used to assess the association between asthma and outcomes, adjusted for possible confounding. Out of 38,139 patients, 2,826 (7.41%) had asthma, and 17.1% were using inhaled corticosteroids (ICS). The study found no significant evidence suggesting an association between asthma and intubation or death in the hospital (relative risk (RR): 0.97; 95% CI: 0.86-1.1). The highest risk group for the primary outcome was patients aged 80+ years (RR: 10.54; 95% CI: 7.01-15.85), compared to the reference group 18-29 years. Users of ICS agents had a slightly higher risk of the primary outcome compared to non-ICS users (RR: 1.12; 95% CI: 1.01-1.25).

Judicious utilisation of tertiary care facilities through appropriate risk stratification assumes priority, in a raging pandemic, of the nature of delta variant-predominated second wave of COVID-19 pandemic in India. Prioritisation of tertiary care, through a scientifically validated risk score, would maximise recovery without compromising individual safety, but importantly without straining the health system.

De-identified data of COVID-19 confirmed patients admitted to a tertiary care hospital in South India, between April 1, 2021 and July 31, 2021, corresponding to the peak of COVID-19 second wave, were analysed after segregating into 'survivors' or 'non-survivors' to evaluate the risk factors for COVID-19 mortality at admission and formulate a risk score with easily obtainable but clinically relevant parameters for accurate patient triaging. The predictive ability was ascertained by the area under the receiver operator characteristics (AUROC) and the goodness of fit by the Hosmer-Lemeshow test and validated using the bootstrap method.

Of 617 COVID-19 patients (325 survivors, 292 non-survivors), treated as per prevailing national guidelines, with a slight male predilection (358/617 [58.0%]), fatalities in the age group above and below 50 years were (217/380 [57.1%]) and (75/237 [31.6%]), p<0.001. The relative distribution of the various parameters among survivors and non-survivors including self-reported comorbidities helped to derive the individual risk scores from parameters significant in the multivariable logistic regression. The 'OUR-ARCad' risk score components were-Oxygen saturation SaO2<94%-23, Urea > 40mg/dL-15, Neutrophil/Lymphocytic ratio >3-23, Age > 50 years-8, Pulse Rate >100-8 and Coronary Artery disease-15. A summated score above 50, mandated tertiary care management (sensitivity-90%, specificity-75%; AUC-0.89), validated in 2000 bootstrap dataset.

The OUR-ARCad risk score, could potentially maximize recovery in a raging COVID-19 pandemic, through prioritisation of tertiary care services, neither straining the health system nor compromising patient's safety, delivering and diverting care to those who needed the most.

Background: Understanding the interactions between age and comorbidities is crucial for assessing COVID-19 mortality, particularly in patients with cardiac and pulmonary conditions. This study investigates the relationship between comorbidities and mortality outcomes in a cohort of hospitalized COVID-19 patients, emphasizing the interplay of age, cardiac, and pulmonary conditions. Methods: We analyzed a cohort of 3005 patients hospitalized with COVID-19 between 2020 and 2022. Key variables included age, comorbidities (diabetes, cardiac, pulmonary, and neoplasms), and clinical outcomes. Chi-square tests and logistic regression models were used to assess the association between comorbidities and mortality. Stratified analyses by age, diabetes, and pulmonary conditions were conducted to explore interaction effects. Additionally, interaction terms were included in multivariable logistic regression models to evaluate the combined impact of age, comorbidities, and mortality. Results: Cardiac conditions such as hypertension, ischemic cardiopathy, and myocardial infarction showed significant protective effects against mortality in younger patients and in those without pulmonary conditions (p < 0.001). However, these protective effects were diminished in older patients and those with pulmonary comorbidities. Age was found to be a significant modifier of the relationship between cardiac conditions and mortality, with a stronger protective effect observed in patients under the median age (p < 0.001). Pulmonary comorbidities significantly increased the risk of mortality, particularly when co-occurring with cardiac conditions (p < 0.001). Diabetes did not significantly modify the relationship between cardiac conditions and mortality. Conclusions: The findings highlight the complex interactions between age, cardiac conditions, and pulmonary conditions in predicting COVID-19 mortality. Younger patients with cardiac comorbidities show a protective effect against mortality, while pulmonary conditions increase mortality risk, especially in older patients. These insights suggest that individualized risk assessments incorporating age and comorbidities are essential for managing COVID-19 outcomes.

Several studies investigated the risk factors for severe COVID-19-related outcomes. Early identification and proper treatment of COVID-19 patients who may develop severe pneumonia are crucial. The aim of this study was to detect the importance of the laboratory parameters for risk prediction of severe pneumonia in COVID-19 patients.

This retrospective cohort study included COVID-19 patients' laboratory parameters at admission. Biochemical, hematological, coagulation, and inflammatory parameters values were compared between the non-severe and severe groups.

A total of 534 COVID-19 patients were screened, and 472 of them were included in this study. The mean age of patients was 64 (±3.1) years; 242 (51.3%) were men. A total of 204 (43.2%) patients were diagnosed as severe cases. The independent predictors of severe illness were C-reactive peptide, Eosinophil, neutrophil-lymphocyte ratio, interleukin-6, and lactate dehydrogenase. These parameters were named as CENIL scores from 0 to 5 points. The findings of this study indicate that these biomarkers identified tend to increase progressively with disease severity in severe COVID-19 patients. Additionally, the CENIL risk score identified a specific cut-off value of 3, highlighting it as a critical threshold for identifying patients at high risk of severe COVID-19 progression.

In this study, we identified biomarkers-including CRP, eosinophil count, NLR, IL-6, and LDH-named as CENIL risk score that can help predict the likelihood of severe disease at diagnosis. Clinicians may be more vigilant regarding the development of severe disease in patients with high CENIL risk scores, guided by clinical and radiological findings.

During the coronavirus disease 2019 (COVID-19) pandemic, the exploration of microecology has been essential for elucidating the intricacies of infection mechanisms and the recovery of afflicted individuals. To decipher the interplay of microorganisms between the intestinal and respiratory tracts, we collected sputum and throat swabs and feces from COVID-19 patients and explored the mutual migration among intestinal and respiratory microorganisms. Using next-generation sequencing (NGS) technology, we investigated intestinal and respiratory microorganism intermigration in two patients with severe COVID-19 during their hospitalization. Notably, we observed an expedited recovery of microecological equilibrium in one patient harboring Mycobacterium avium. Comparative analyses between 32 healthy controls and 110 COVID-19 patients with different disease severities revealed alterations in predominant microorganisms inhabiting the respiratory and intestinal tracts of COVID-19 patients. Among the alterations, intestinal Bacteroides vulgatus (BV) was identified as a noteworthy microorganism that exhibited marked enrichment in patients with severe COVID-19. BV, when highly abundant, may inhibit the transitional growth of Escherichia coli/Enterococcus, indirectly prevent the overgrowth of salivary streptococci, and maintain lung/intestinal microecology stability. In summary, this study elucidates the bidirectional microbial intermigration between the intestinal and respiratory tracts in COVID-19 patients. These findings are expected to provide new ideas for the treatment and management of COVID-19, underscoring the essential role of microecology in infectious diseases. Nevertheless, a systematic study of the roles of BV in recovery from infection is required to gain a deeper understanding of the mechanisms of microbial migration.

The pediatric community is considered a suitable target for controlling the spread and mortality of viral diseases. In late December 2019, a respiratory disease due to the novel coronavirus, later COVID-19, hit the globe. The COVID-19 global disruption had direct and indirect impacts on different aspects of child health. Therefore, surveillance, preventive approaches, and treatment plans for children came into the spotlight.

This study aims to discuss the clinical pictures as well as laboratory and radiological findings of the infected children during the COVID-19 pandemic. The focus of this study is to express the clinical manifestations of respiratory disease in pediatric SARS-CoV-2, available therapeutic options, vaccine recommendations, and long COVID sequelae in affected children. This review could serve as a hint for upcoming challenges in pediatric care during future pandemics.

The clinical presentation of COVID-19 in pediatrics can range from mild pulmonary disease to acute respiratory distress syndrome (ARDS). Supportive care is a crucial component of the management of pediatric COVID-19. However, the importance of specializing in how to treat patients with more severe conditions cannot be overstated. Additionally, clinicians must consider prevention strategies as well as potential complications.

Although the infected patients are dipping day by day, there is a lack of clinical guidelines for pediatric SARS-CoV-2-associated pulmonary diseases. Understanding of the physicians about all aspects of pediatric care during the COVID-19 pandemic could lead to enhanced quality of future patient care and safety, reduced costs of health policies, and surveil the risk that patients with respiratory viruses can expose to society.

In the frame of the I-MOVE-COVID-19 project, a cohort of 2050 patients admitted in two Spanish reference hospitals between March 2020 and December 2021 was selected and a range of clinical factor data were collected at admission to assess their impact on the risk COVID-19 severity outcomes through a multivariate adjusted analysis and nomograms. The need for ventilation and intensive care unit (ICU) admission were found to be directly associated with a higher death risk (OR 6.9 and 3.2, respectively). The clinical predictors of death were the need for ventilation and ICU, advanced age, neuromuscular disorders, thrombocytopenia, hypoalbuminemia, dementia, cancer, elevated creatin phosphokinase (CPK), and neutrophilia (OR between 1.8 and 3.5), whilst the presence of vomiting, sore throat, and cough diminished the risk of death (OR 0.5, 0.2, and 0.1, respectively). Admission to ICU was predicted by the need for ventilation, abdominal pain, and elevated lactate dehydrogenase (LDH) (OR 371.0, 3.6, and 2.2, respectively) as risk factors; otherwise, it was prevented by advanced age (OR 0.5). In turn, the need for ventilation was predicted by low oxygen saturation, elevated LDH and CPK, diabetes, neutrophilia, obesity, and elevated GGT (OR between 1.7 and 5.2), whilst it was prevented by hypertension (OR 0.5). These findings could enhance patient management and strategic interventions to combat COVID-19.

The benefit of Inhaled nitric oxide (iNO) therapy in the setting of COVID-19-related ARDS is obscure. We performed a multicenter retrospective study to evaluate the impact of iNO on patients with COVID-19 who require respiratory support.

This retrospective multicenter study included COVID-19 patients enrolled in the SCCM VIRUS COVID-19 registry who were admitted to different Mayo Clinic sites between March 2020 and June 2022 and required high-flow nasal cannula (HFNC), non-invasive ventilation (NIV), or invasive mechanical ventilation (IMV). Patients were included in the 'spontaneously breathing' group if they remained non-intubated or were initiated on an HFNC (± NIV) before intubation. Patients who got intubated without prior use of an HFNC (± NIV) were included in the 'intubated group.' They were further divided into categories based on their iNO usage. Propensity score matching (PSM) and inverse propensity of treatment weighting (IPTW) were performed to examine outcomes.

Among 2767 patients included in our analysis, 1879 belonged to spontaneously breathing (153 received iNO), and 888 belonged to the intubated group (193 received iNO). There was a consistent improvement in FiO2 requirement, P/F ratio, and respiratory rate within 48 h of iNO use among both spontaneously breathing and intubated groups. However, there was no significant difference in intubation risk with iNO use among spontaneously breathing patients (PSM OR 1.08, CI 0.71-1.65; IPTW OR 1.10, CI 0.90-1.33). In a time-to-event analysis using Cox proportional hazard model, spontaneously breathing patients initiated on iNO had a lower hazard ratio of in-hospital mortality (PSM HR 0.49, CI 0.32-0.75, IPTW HR 0.40, 95% CI 0.26-0.62) but intubated patients did not (PSM HR: 0.90; CI 0.66-1.24, IPTW HR 0.98, 95% CI 0.73-1.31). iNO use was associated with longer in-hospital stays, ICU stays, ventilation duration, and a higher incidence of creatinine rise.

This retrospective propensity-score matched study showed that spontaneously breathing COVID-19 patients on HFNC/ NIV support had a decreased in-hospital mortality risk with iNO use in a time-to-event analysis. Both intubated and spontaneously breathing patients had improvement in oxygenation parameters with iNO therapy but were associated with longer in-hospital stays, ICU stays, ventilation duration, and higher incidence of creatinine rise.

This paper explores how frontline nurses experienced the onset of the coronavirus disease (COVID-19) pandemic to provide appropriate care during a global health crisis.

A qualitative descriptive phenomenological study. The sample consisted of 13 frontline nurses from Turkey, working in intensive care units, inpatient clinics and emergency unit. Data were collected online through face-to-face interviews based on a semi-structured interview guide. Data were analysed using thematic analysis.

Nurses experienced certain difficulties in the continuous use of protective personal equipment, communication both with patients and colleagues, administrative processes. Besides, they experienced exhaustion, reduced job satisfaction and certain physical complaints.

Hospital administrators and health policy makers should effectively manage human and hospital resources effectively and solve nurses' problems in times of crisis, such as pandemics.

Understanding the challenges faced by frontline nurses during the onset of the COVID-19 pandemic may help healthcare practitioners and policy makers to implement targeted interventions, support mechanisms and resource allocation strategies that enhance the well-being of frontline nurses and optimise patient care delivery during health crises.

The accurate prediction of COVID-19 mortality risk, considering influencing factors, is crucial in guiding effective public policies to alleviate the strain on the healthcare system. As such, this study aimed to assess the efficacy of decision tree algorithms (CART, C5.0, and CHAID) in predicting COVID-19 mortality risk and compare their performance with that of the logistic model.

This retrospective cohort study examined 5080 cases of COVID-19 in Babol, a city in northern Iran, who tested positive for the virus via PCR from March 2020 to March 2022. In order to check the validity of the findings, the data was randomly divided into an 80% training set and a 20% testing set. The prediction models, such as Logistic regression models and decision tree algorithms, were trained on the 80% training data and tested on the 20% testing data. The accuracy of these methods for the test samples was assessed using measures like ROC curve, sensitivity, specificity, and AUC.

The findings revealed that the mortality rate for COVID-19 patients who were admitted to hospitals was 7.7%. Through cross validation, it was determined that the CHAID algorithm outperformed other decision tree and logistic regression algorithms in specificity, and precision but not sensitivity in predicting the risk of COVID-19 mortality. The CHAID algorithm demonstrated a specificity, precision, accuracy, and F-score of 0.98, 0.70, 0.95, and 0.52 respectively. All models indicated that factors such as ICU hospitalization, intubation, age, kidney disease, BUN, CRP, WBC, NLR, O2 sat, and hemoglobin were among the factors that influenced the mortality rate of COVID-19 patients.

The CART and C5.0 models had outperformed in sensitivity but CHAID demonstrates a better performance compared to other decision tree algorithms in specificity, precision, accuracy and shows a slight improvement over the logistic regression method in predicting the risk of COVID-19 mortality in the population under study.

To evaluate changes in health outcomes between years 2 and 3 after discharge following COVID-19 and to identify risk factors for poor health 3-year post-discharge.

This is a multicentre observational cohort study.

This study was conducted in two centres from Wuhan, China.

Eligibility screening has been performed in 3988 discharged laboratory-confirmed adult COVID-19 patients. Exclusion criteria were refusal to participate, inability to contact and death before follow-up. The WHO COVID-19 guidelines on defining disease severity were adopted.

1594 patients participated in the 1-year, 2-year and 3-year follow-ups, including 796 (49.9%) male patients, and 422 (26.5%) patients were classified in the severe disease group. 3 years after discharge, 182 (11.4%) patients still complained of at least one symptom. The most common symptoms were fatigue, myalgia, chest tightness, cough, anxiety, shortness of breath and expectoration. Fatigue or myalgia, the most common symptom cluster, frequently coexisted with chest symptoms and anxiety. Symptom persistence between years 2 and 3 was reported in 70 patients (4.4%) for which intensive care unit (ICU) admission was a risk factor (p=0.038). Of the 1586 patients who completed the chronic obstructive pulmonary disease assessment test (CAT), 97 (6.1%) scored ≥10, with older age being associated with CAT ≥10 (p=0.007).

Between years 2 and 3 after SARS-CoV-2 infection, most patients returned to an asymptomatic state, and only a few were still symptomatic. ICU admission was a risk factor for symptom persistence.

Background: A few months after the COVID-19 pandemic onset, knowledge of SARS-CoV-2 infection and outcomes and treatments blew up. This paper aimed to evaluate the features of a Tuscany COVID-19 hospitalized cohort and to identify risk factors for COVID-19 severity. Methods: This retrospective observational COVID-19 cohort study (1 March 2020-1 March 2021) was conducted on patients ≥ 18 years old, admitted to Tuscany Hospital, and subjected to follow-up within 12 months after discharge. Patients were enrolled at Pisana, Senese and Careggi University Hospitals, and South East, North West, and Center Local Hospitals. Results: 2888 patients (M = 58.5%, mean age = 66.2 years) were enrolled, of whom 14.3% (N = 413) were admitted to an intensive care unit. Smokers were 25%, and overweight and obese 65%. The most used drugs were corticosteroids, antacids, antibiotics, and antithrombotics, all antiviral drugs, with slight differences between 2020 and 2021. A strong association was found between outcomes of evolution towards critical COVID-19 (non-invasive mechanical ventilation (NIV) and/or admission to intensive care) and smoking (RR = 4.91), ex-smoking (RR = 3.48), overweight (RR = 1.30), obese subjects (RR = 1.62), comorbidities (aRR = 1.38). The alteration of liver enzymes (aspartate aminotransferase, alanine aminotransferase, or gamma-glutamyl transpeptidase) was associated with NIV (aOR = 2.28). Conclusions: Our cohort, characterized by patients with a mean age of 66.2 years, showed 65% of patients were overweight and obese. Smoking/ex-smoking, overweight/obesity, and other comorbidities were associated with COVID-19 adverse outcomes. The findings also demonstrated that alterations in liver enzymes were associated with worse outcomes.

Obesity is a risk factor for chronic inflammation and severe pulmonary infections. This study aimed to assess the association between obesity and the clinical courses of hospitalised COVID-19 survivors. This cross-sectional study used the Isfahan COVID Cohort (ICC) baseline data. The ICC is an ongoing, 5-year prospective, longitudinal cohort study conducted on hospitalised COVID-19 survivors in affiliated hospitals of the Medical University of Isfahan (MUI), Iran. Patients aged 19 and over throughout Isfahan County were recruited using a consecutive sampling method 1 month after discharge. Demographic and basic characteristics, symptoms and clinical features of these patients were collected and analysed. A total of 3843 hospitalised patients with COVID-19 were included in this study. Regarding the body mass index classification in the general obesity group, the patients with overweight and obesity had more extended hospitalisation and a higher frequency of low O2 saturation compared to the normal weight patients, and the highest frequency of low O2 saturation and more extended hospitalisation was observed in patients with obesity (5.9 ± 3.8 vs. 6.8 ± 5.4 vs. 7.1 ± 5.3, respectively; p = .001 and 59% vs. 64.5% vs. 65.5%; p < .001). Furthermore, individuals with abdominal obesity had a significantly longer duration of hospitalisation compared to the non-abdominal obesity group (6.3 ± 4.6 vs. 7.0 ± 5.3; p < .001). In the fully adjusted model, a significant association was observed between abdominal obesity and an increased occurrence of low oxygen saturation compared to general obesity (odds ratio: 1.25, 95% confidence interval: 1.03-1.44). Obesity was associated with more extended hospitalisation and hypoxia in patients with COVID-19. However, no significant relationship was found between obesity and other clinical courses.

We evaluated glycemia and triglyceride, hepatic, muscular, and renal damage markers, redox profile, and leptin and ghrelin hormone levels in COVID-19 patients. We also conducted statistical analysis to verify the potential of biomarkers to predict poor prognosis and the correlation between them in severe cases. We assessed glycemia and the levels of triglycerides, hepatic, muscular, and renal markers in automatized biochemical analyzer. The leptin and ghrelin hormones were assessed by the ELISA assay. Severe cases presented high glycemia and triglyceride levels. Hepatic, muscular, and renal biomarkers were altered in severe patients. Oxidative stress status was found in severe COVID-19 patients. Severe cases also had increased levels of leptin. The ROC curves indicated many biomarkers as poor prognosis predictors in severe cases. The Spearman analysis showed that biomarkers correlate between themselves. Patients with COVID-19 showed significant dysregulation in the levels of several peripheral biomarkers. We bring to light that a robust panel of peripheral biomarkers and hormones predict poor prognosis in severe cases of COVID-19 and biomarkers correlate with each other. Early monitoring of these biomarkers may lead to appropriate clinical interventions in patients infected by SARS-CoV2.

The persistence of symptoms following COVID-19 infection represents a significant challenge in healthcare management. During the outbreak, tele-rehabilitation emerged as a new tool to support healthcare structures in providing rehabilitation services. This study assessed the effectiveness and the feasibility of a 3-week home-based motor and respiratory rehabilitation program for individuals with long COVID-19 after traditional rehabilitation. Twenty-three patients completed the program and underwent functional tests at different time points (i.e., baseline, at discharge from in-hospital rehabilitation and after tele-rehabilitation). Motor function was evaluated using the instrumented Six-Minutes Walking Test (i6MWT), with monitored heart rate and oxygen saturation. Additionally, respiratory function was measured via forced vital capacity (FVC) and maximal voluntary ventilation (MVV) tests. Significant improvements (p < 0.05) in motor and respiratory function were observed throughout the intervention, including an 18.3% increase in walked distance from the baseline. The findings suggest that the proposed home-based tele-rehabilitation shows potential in enhancing motor and respiratory function in patients with long COVID. Despite limitations such as the small sample size, lack of control group and the preliminary nature of the outcomes observed, the overall findings seem to support the feasibility of the proposed tele-rehabilitation program in managing long COVID symptoms and promoting functional recovery. Nevertheless, further research is needed to validate these findings and explore tele-rehabilitation's potential in broader and different patient populations.

Classical pulmonary thromboembolism (TE) and local pulmonary thrombosis (PT) have been suggested as mechanisms of thrombosis in COVID-19. However, robust evidence is still lacking because this was mainly based on retrospective studies, in which patients were included when TE was suspected.

All patients with COVID-19 pneumonia underwent computed tomography and pulmonary angiography in a prospective study. The main objective was to determine the number and percentage of thrombi surrounded by lung opacification (TSO) in each patient, as well as their relationship with percentage of lung involvement (TLI), to distinguish classical TE (with a random location of thrombi that should correspond to a percentage of TSO equivalent to the TLI) from PT. We determined TLI by artificial intelligence. Analyses at patient level (TLI and percentage of TSO) and at thrombi level (TLI and TSO) were performed.

We diagnosed TE in 70 out of 184 patients. Three (2-8) thrombi/patient were detected. The percentage of TSO was 100% (75-100) per patient, and TLI was 19.9% (4.6-35.2). Sixty-five patients (92.9%) were above the random scenario with higher percentage of TSO than TLI. Most thrombi were TSO (n = 299, 75.1%). When evaluating by TLI (<10%, 10%-20%, 20%-30% and >30%), percentage of TSO was higher in most groups. Thrombi were mainly in subsegmental/segmental arteries, and percentage of TSO was higher in all locations.

Thrombi in COVID-19 were found within lung opacities in a higher percentage than lung involvement, regardless of TLI and clot location, supporting the hypothesis of local PT rather than "classic TE".

Medical oxygen is essential for managing hypoxaemia, which has a multifactorial origin, including acute and chronic lung diseases such as pneumonia, asthma, and severe malaria. The coronavirus disease 2019 (COVID-19) revealed substantial gaps in the availability and accessibility of safe medical oxygen, especially in low- and middle-income countries (LMICs). This study aimed to assess the availability and sources, as well as the barriers to the availability of functional medical oxygen in hospitals in Cameroon.

This was a nationwide cross-sectional descriptive study conducted from 26 March to 1 June 2021. Using a convenient sampling technique, we sampled accredited public and private COVID-19 treatment centres in all ten regions in Cameroon. Representatives from the selected hospitals were provided with a pre-designed questionnaire assessing the availability, type, and state of medical oxygen in their facilities. All analyses were performed using R.

In total, 114 hospitals were included in this study, with functional medical oxygen available in 65% (74/114) of the hospitals. About 85% (23/27) of the reference hospitals and only 59% (51/87) of the district hospitals had available functional medical oxygen. Compared to district hospitals, reference hospitals were more likely to have central oxygen units (reference vs. district: 10 vs. 0%), oxygen cylinders (74 vs. 42%), and oxygen concentrators (79 vs. 51%). The most common barriers to the availability of medical oxygen were inadequate oxygen supply to meet needs (district vs. reference hospitals: 55 vs. 30%), long delays in oxygen bottle refills (51 vs. 49%), and long distances from oxygen suppliers (57 vs. 49%).

The availability of medical oxygen in hospitals in Cameroon is suboptimal and more limited in districts compared to reference hospitals. The cost of medical oxygen, delays related to refills and supplies, and long distances from medical sources were the most common barriers to availability in Cameroon.

Long covid (post covid-19 condition) is a complex condition with diverse manifestations, uncertain prognosis and wide variation in current approaches to management. There have been calls for formal quality standards to reduce a so-called "postcode lottery" of care. The original aim of this study-to examine the nature of quality in long covid care and reduce unwarranted variation in services-evolved to focus on examining the reasons why standardizing care was so challenging in this condition.

In 2021-2023, we ran a quality improvement collaborative across 10 UK sites. The dataset reported here was mostly but not entirely qualitative. It included data on the origins and current context of each clinic, interviews with staff and patients, and ethnographic observations at 13 clinics (50 consultations) and 45 multidisciplinary team (MDT) meetings (244 patient cases). Data collection and analysis were informed by relevant lenses from clinical care (e.g. evidence-based guidelines), improvement science (e.g. quality improvement cycles) and philosophy of knowledge.

Participating clinics made progress towards standardizing assessment and management in some topics; some variation remained but this could usually be explained. Clinics had different histories and path dependencies, occupied a different place in their healthcare ecosystem and served a varied caseload including a high proportion of patients with comorbidities. A key mechanism for achieving high-quality long covid care was when local MDTs deliberated on unusual, complex or challenging cases for which evidence-based guidelines provided no easy answers. In such cases, collective learning occurred through idiographic (case-based) reasoning, in which practitioners build lessons from the particular to the general. This contrasts with the nomothetic reasoning implicit in evidence-based guidelines, in which reasoning is assumed to go from the general (e.g. findings of clinical trials) to the particular (management of individual patients).

Not all variation in long covid services is unwarranted. Largely because long covid's manifestations are so varied and comorbidities common, generic "evidence-based" standards require much individual adaptation. In this complex condition, quality improvement resources may be productively spent supporting MDTs to optimise their case-based learning through interdisciplinary discussion. Quality assessment of a long covid service should include review of a sample of individual cases to assess how guidelines have been interpreted and personalized to meet patients' unique needs.

NCT05057260, ISRCTN15022307.

The optimal target oxygen saturation (SpO2) range for hospital inpatients not at risk of hypercapnia is unknown. The objective of this study was to assess the impact on oxygen usage and National Early Warning Score 2 (NEWS2) of changing the standard SpO2 target range from 94-98% to 92-96%.

In a metropolitan UK hospital, a database of electronic bedside SpO2 measurements, oxygen prescriptions and NEWS2 records was reviewed. Logistic regression was used to compare the proportion of hypoxaemic SpO2 values (<90%) and NEWS2 records ≥5 in 2019, when the target SpO2 range was 94-98%; with 2022, when the target range was 92-96%.

In 2019, 218 of 224 936 (0.10%) observations on room air and 162 of 11 328 (1.43%) on oxygen recorded an SpO2 <90%, and in 2022, 251 of 225 970 (0.11%) and 233 of 12 845 (1.81%), respectively (risk difference 0.04%, 95% CI 0.02% to 0.07%). NEWS2 ≥5 was observed in 3009 of 236 264 (1.27%) observations in 2019 and 4061 of 238 815 (1.70%) in 2022 (risk difference 0.43%, 0.36% to 0.50%; p<0.001). The proportion of patients using supplemental oxygen with hyperoxaemia (SpO2 100%) was 5.4% in 2019 and 3.9% in 2022 (OR 0.71, 0.63 to 0.81; p<0.001).

The proportion of observations with SpO2 <90% or NEWS2 ≥5 was greater with the 92-96% range; however, absolute differences were very small and of doubtful clinical relevance, in contrast to hyperoxaemia for which the proportion was markedly less in 2022. These findings support proposals that the British Thoracic Society oxygen guidelines could recommend a lower target SpO2 range.

A growing body of evidence suggests the role of male hypogonadism as a possible harbinger for poor clinical outcomes across hospitalized Covid-19 patients. Accordingly, we sought to investigate the impact of dysregulated hypothalamic-pituitary-gonadal axis on the severity of the clinical manifestations for hospitalized Covid-19 patients matched with healthy controls through a systematic review and meta-analysis. Databases were searched from inception to March 2022. A standardized mean difference (SMD) meta-analysis focused on hospitalized Covid-19 patients and healthy controls was developed for studies who reported total testosterone (TT) and luteinizing hormone (LH) levels at hospital admission. Overall, n = 18 series with n = 1575 patients between 2020 and 2022 were reviewed. A significant decrease in SMD of TT levels in Covid-19 patients compared to paired controls was observed (- 3.25 nmol/L, 95%CI - 0.57 and - 5.93). This reduction was even more consistent when matching severe Covid-19 patients with controls (- 5.04 nmol/L, 95%CI - 1.26 and - 8.82) but similar for Covid-19 survivors and non-survivors (- 3.04 nmol/L, 95%CI - 2.04 and - 4.05). No significant variation was observed for serum LH levels across studies. Patient related comorbidities, year of the pandemic, and total lymphocyte count were associated with the observed estimates. TT levels may be a useful serum marker of poor outcomes among Covid-19 patients. These findings may support the development of ad-hoc clinical trials in the Covid-19 risk-group classification and subsequent disease monitoring. The interplay between TT and immune response should be evaluated in future researches.

Chronic rhinosinusitis (CRS), as an inflammatory airway disease, could be a risk factor for COVID-19 patients. This study aimed to investigate the frequency and severity of symptoms of COVID-19 in patients with CRS and to assess the association between the status of CRS symptoms and the quality of life (QoL) of the patients.

In this observational and cross-sectional study, 207 adult CRS patients participated. The patients, who presented the symptoms of COVID-19, were examined by taking the reverse transcription-polymerase chain reaction test. A questionnaire was completed by each patient, regarding their demographic and clinical data. In addition, the GA2LEN and Sino-Nasal Outcome Test (SNOT-22) standard questionnaires were used to identify the comorbid allergic condition and QoL of CRS patients.

The frequency of patients with COVID-19 was 25 (12.1%) of which 22 were treated as outpatients, 2 of them admitted in wards and 1 at intensive care unit. The severity of hyposmia in the patients was 2 (8%) as mild, 5 (20%) moderate, and 11 (72%) as anosmia. The most common allergic and underlying comorbid diseases were allergic rhinitis (88%) and thyroid disorders (28%). Further, the average SNOT-22 score in 4 SNOT-22 domains (nasal, otologic, sleep, and emotional symptoms) was significantly decreased in CRS patients after a period of one year since the pandemic started (40.1 ± 18.0 vs. 46.3 ± 17.7; P < .0001).

This study showed a low frequency of COVID-19 in patients with CRS and about the same rate of infection positivity in the general population; therefore, we concluded that CRS could not be considered as a risk factor for COVID-19. Interestingly, the lower average score of SNOT-22 after one year of the pandemic in the patients with CRS confirmed the necessity for performing the standard health protocols by the patients.

Breathing support is provided by regulating volume or pressure of lungs using ventilators. Due to COVID-19 pandemic, there was a sudden shortage of resuscitating devices such as ventilators. Additionally, ventilators being one of the primary critical care devices are also very costly. In order to address this situation, a number of low-cost designs have been proposed, however, many of these lack either an efficient control system or a hardware comparable to a standard ICU ventilator. In this regard, this article presents a comprehensive cost-effective solution that covers all aspects of the ventilator design (named as NED-Vent) such as hardware/pneumatic assembly, electronic design, user interface and control system. The proposed design works on compressed air-oxygen switching via proportional valves to produce basic volume and pressure modes as well as their derivatives such as assist ventilation, intermittent ventilation and spontaneous modes. The NED-Vent also features an interactive single-knob-single-touch user interface along with an automated mechanism for adjusting air-oxygen ratio in breathing gas mixture as an improvement on existing designs. The pressure regulated control is based on two mathematical models of human lungs with dynamic lung parameters estimated using machine learning approach. Additionally, the controller is tuned to optimized stability using Jury's Test and Ziegler-Nichols methods. The obtained results of breath profile are validated for the employed mathematical models (SLSC & SLMC) as well as the tuning methods in compliance with the tolerances provided by international standards.

Northern Italy was the first European country affected by the spread of the SARS-CoV-2, with the epicenter in the province of Bergamo.

This study aims to analyze the characteristics of patients who experienced more severe symptoms during the first wave of COVID-19 pandemic.

We retrospectively collected epidemiological and clinical data on patients with laboratory-confirmed wild-type SARS-CoV-2 infection who were admitted to the "ASST Bergamo Ovest" hospital between February 21 and May 31, 2020.

A total of seven hundred twenty-three inpatients met the eligible criteria and were included in the study cohort. Among the inpatients who survived, the average hospital length of stay was more than two weeks, with some lasting up to three months. Among the 281 non-survivors, death occurred in 50% within five days. Survivors were those whose first aid operators recorded higher oxygen saturation levels at home. The request for first aid assistance came more than one week after symptom onset, within three days in 10% of cases.

In similar future scenarios, based on our data, if we aim to enhance the survival rate, we need to improve the territorial healthcare assistance and admit to hospitals only those patients who are at risk of severe illness requiring specialized and urgent interventions within two, three, or, at most, five days from the onset of symptoms. This implies that the crucial factor is, has been, and will be the ability of a healthcare system to react promptly in its entirety within a few days.

(1) Background: Early identification of severe coronavirus disease 2019 (COVID-19) pneumonia at the initial phase of hospitalization is very crucial. To address this, we validated and updated the National Early Warning Score 2 (NEWS2) for this purpose. (2) Methods: We conducted a study on adult patients with COVID-19 infection in Chiang Mai, Thailand, between May 2021 and October 2021. (3) Results: From a total of 725 COVID-19 adult patients, 350 (48.3%) patients suffered severe COVID-19 pneumonia. In determining severe COVID-19 pneumonia, NEWS2 and NEWS2 + Age + BMI (NEWS2 Plus) showed the C-statistic values of 0.798 (95% CI, 0.767-0.830) and 0.821 (95% CI, 0.791-0.850), respectively. The C-statistic values of NEWS2 Plus were significantly improved compared to those of NEWS2 alone (p = 0.012). Utilizing a cut-off point of five, NEWS2 Plus exhibited better sensitivity and negative predictive value than the traditional NEWS2, with values of 99.7% vs. 83.7% and 98.9% vs. 80.7%, respectively. (4) Conclusions: The incorporation of age and BMI into the traditional NEWS2 score enhanced the efficacy of determining severe COVID-19 pneumonia. Physicians can rely on NEWS2 Plus (NEWS2 + Age + BMI) as a more effective decision-making tool for triaging COVID-19 patients during early hospitalization.

The impact of SARS-CoV-2 infections in children has fortunately been lower than what has been seen in adults. However, even previously healthy children have developed severe disease, sometimes with subsequent mortality, and those who are infants or adolescents, are from racial and ethnic minority groups, or have certain chronic conditions are at higher risk of these outcomes. During the pandemic, extensive studies of therapeutic agents, including antivirals and immunomodulators, were conducted in adults. Few trials included children, and most were in older children and adolescents. Thus, the potential benefits of therapies in children must be extrapolated from adult evidence. Despite these limitations, advisory committees of the National Institute of Health (NIH), the Infectious Disease Society of America (IDSA), and the Pediatric Infectious Diseases Society (PIDS) were constituted, and expert consensus guidelines were developed. This review provides a synthesis of those comprehensive recommendations for therapy in children. These address treatment during the early infectious period with antiviral agents, including remdesivir and nirmatrelvir/ritonavir, as well as treatment in the later period of immune dysregulation with corticosteroids and immunomodulators. In addition, the therapeutic approach for multisystem inflammatory syndrome in children (MIS-C), also referred to as Pediatric Inflammatory Multisystem Syndrome temporally associated with SARS-CoV-2 (PIMS-TS), is also provided.