Due to the lack of a comprehensive evaluation of the prognosis of small bowel obstruction (SBO), recent clinical strategies have remained subjective and controversial. The recognition of pretreatment risk factors and tailored treatment could improve SBO outcomes.

A series of posttreatment laboratory tests were integrated into a two-step clustering (TSC) analysis. The TSC outcome was determined according to different predictor importance (PI). A risk score (RS) system for the TSC outcome model was constructed by multivariable analysis. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were calculated to assess prediction accuracy.

Of the 355 patients, 66 (18.6%) were sorted into the better prognosis group (BPG), 149 (42.0%) were sorted into the poor prognosis group (PPG), and 140 (39.4%) were sorted into the severe prognosis group (SPG) by TSC analysis. For the TSC outcome, four variables with higher PI were identified, namely, Ca (PI = 1), albumin (PI = 0.62), WBC count (PI = 0.5) and NE% (PI = 0.45). Compared with the SPG, the BPG presented better outcomes after surgery events. The TSC outcome model was efficient in distinguishing the duration of bowel function recovery and hospital stay by Kaplan‒Meier curves. Via multivariate analysis, a RS consisting of four risk factors, namely, constipation duration (OR = 1.002), APTT (OR = 0.923), PT (OR = 1.449) and PCT (OR = 1.540), was identified. The AUC of the RS on the TSC outcome model was 0.719 (95% CI, 0.635-0.804).

A novel TSC outcome model and RS system was constructed to comprehensively reflect the tailored treatment, surgical events and posttreatment recovery for SBO patients.

Portal vein system thrombosis (PVST) is a serious complication after splenectomy, and many researches focus on how to prevent PVST these years. The current study aimed to explore an effectively method to prevent PVST occur after splenectomy.

Records of patients performed with splenectomy from January 2018 to December 2020 were reviewed. Clinical parameters, including patient history, physical examination, and the results of laboratory investigations, were analyzed.

One hundred and eighty patients (127 females) were included. Twenty-four patients were confirmed PVST by Color Doppler ultrasonography and CTA (thrombus group) and the others were not (non-thrombus group). One hundred and twenty patients were performed with laparoscopic splenectomy (LS) and 53 were open splenectomy (OS). Seventeen PVST were found in LS patients and 7 PVST were found in OS patients (P = 0.974). The average time of thrombosis was 4.48 ± 2.9 days after operation. The proportion of postoperative preventive use of low molecular weight heparin (LMWH) in non-thrombus group was higher than that in thrombus group (27.6% vs. 8.3%, P = 0.045). Compared with the non-thrombus group, the thrombus group showed significantly higher serum alanine transaminase (ALT) and aspartate transaminase (AST) 7 days after splenectomy (79.67 ± 39.1 U/L vs. 29.34 ± 2.5 U/L, P = 0.001; 192.4 ± 145.8 U/L vs. 30.54 ± 3.0 U/L, P < 0.001).

Laparoscopic splenectomy does not seem to increase the occurrence of PVST in patients without portal hypertension. Early postoperative preventive use of LMWH after splenectomy may prevent the formation of PVST.

Acute mesenteric ischemia (AMI) is a life-threatening condition. However, there is no accurate method to predict intestinal necrosis in AMI patients that may facilitate early surgical intervention. This study thus aimed to explore a simple and accurate model to predict intestinal necrosis in patients with AMI.

A single-center retrospective study was performed on the data of 132 AMI patients treated between October 2011 and June 2020. The patients were divided into the intestinal necrosis and non-intestinal necrosis groups. The clinical characteristics and laboratory data were analyzed by univariate analysis, and the variables with statistical significance were further analyzed by multivariate logistic regression analysis. The independent predictors of intestinal necrosis were determined and a logistic prediction model was established. Finally, the accuracy, sensitivity, and specificity of the model in predicting intestinal necrosis were evaluated.

Univariate analysis showed that white blood cell (WBC) count, blood urea nitrogen (BUN) level, neutrophil ratio, prothrombin time (PT), and LnD-dimer were associated with intestinal necrosis. According to logistic regression multivariate analysis, WBC count, BUN level and LnD-dimer were independent predictors of intestinal necrosis. These parameters were used to establish a clinical prediction model of intestinal necrosis (CPMIN) as follows: model score = 0.349 × BUN (mmol/L) + 0.109 × WBC × 109 (109/L) + 0.394 × LnD - Dimer (ug/L) - 7.883. The area under the receiver operating characteristics (ROC) curve of the model was 0.889 (95% confidence interval: 0.833-0.944). Model scores greater than - 0.1992 predicted the onset of intestinal necrosis. The accuracy, specificity, and sensitivity of the model were 82.6%, 78.2%, and 88.3%, respectively. The proportion of intestinal necrosis in the high-risk patient group (CPMIN score ≥ - 0.1992) was much greater than that in the low-risk patient group (CPMIN score < - 0.1992; 82.7% vs. 15.0%, p < 0.001).

The CPMIN can effectively predict intestinal necrosis and guide early surgical intervention to improve patient prognosis. Patients with AMI who are classified as high-risk should be promptly treated with surgery to avoid the potential complications caused by delayed operation. Patients classified as low-risk group can receive non-surgical treatment. This model may help to lower the morbidity and mortality from AMI. However, this model's accuracy should be validated by larger sample size studies in the future.