Purpose: To clarify the predictors of post-operative complications of pediatric acute appendicitis.
Methods: The medical records of 485 patients with acute appendicitis operated on between January 2006 and November 2014 were retrospectively reviewed. Age, sex, preoperative WBC, CRP, and appendix maximum short diameter on diagnostic imaging (AMSD) were compared retrospectively with the complications group (Group C) vs the non-complication group (Group NC) by Student's T test, Fisher exact test and Multivariate analysis. Regression analysis with p less than 0.01 was considered significant. We analyzed the most recent 314 laparoscopic appendectomy patients similarly.
Results: Complications were found in 29 of the 485 appendectomies (6.0%). Comparing Group C to Group NC, preoperative WBC (×10(3)/μl) 16.4 ± 5.6 vs 14.1 ± 4.1 (p < 0.01), CRP (mg/dl) 8.3 ± 7.1 vs 3.3 ± 4.6 (p < 0.01), AMSD (mm) was 12.1 ± 3.7 vs 9.9 ± 2.8 (p < 0.01). The CRP was significantly different by Multivariate analysis, but the WBC and AMSD wasn't. The results following laparoscopic appendicectomy data were identical.
Conclusion: Preoperative WBC, CPR and AMSD all indicated an increased risk of complications. If WBC (/μl) >16,500, CRP >3.1 mg/dl and AMSD >11.4 mm, complications increased sixfold.
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http://dx.doi.org/10.1007/s00383-015-3786-9 | DOI Listing |
BMJ Open
January 2025
Department of Geriatric Gastroenterology, Guangdong Provincial Geriatrics Institute, Guangzhou, Guangdong, China
Objectives: The aim of this study is to derive and validate a reliable indicator for predicting an increased risk of postoperative mortality in elderly patients undergoing curative resection for colorectal cancer (CRC).
Design: This study is of multicentre retrospective design.
Setting And Participants: A total of 1227 CRC patients undergoing curative resection (age ≥65 years) from three distinct cohorts were retrospective enrolled.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Department of Gastrointestinal Surgery, General Surgery, Xiangya Hospital, Central South University, Changsha 410008.
Objectives: Albumin-globulin ratio (AGR), prognostic nutritional index (PNI), and platelet-to-lymphocyte ratio (PLR) have been validated as prognostic factors for gastric cancer (GC). However, significant gender differences exist in albumin levels and inflammatory cell counts, and further research is required to understand how these differences influence GC prognosis. This study aims to investigate the prognostic impact of nutritional and inflammatory indicators on GC patients undergoing radical surgery, as well as the influence of gender on these indicators' prognostic value.
View Article and Find Full Text PDFJ Pediatr (Rio J)
January 2025
Department of General Surgery and Neonatal Surgery, Liangjiang Wing, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China. Electronic address:
Objective: This study aimed to develop a predictive model using a random forest algorithm to determine the likelihood of postoperative adhesive small bowel obstruction (ASBO) in infants under 3 months with intestinal malrotation.
Methods: A machine learning model was used to predict postoperative adhesive small bowel obstruction using comprehensive clinical data extracted from 107 patients with a follow-up of at least 24 months. The Boruta algorithm was used for selecting clinical features, and nested cross-validation tuned and selected hyper-parameters for the random forest model.
Ann Gastroenterol Surg
January 2025
The Japanese Society of Gastroenterological Surgery Tokyo Japan.
World Neurosurg
January 2025
Department of Neurology, The First People's Hospital of Jingzhou, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, China. Electronic address:
Objective: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms.
Methods: Employing a retrospective cohort study design, this study collected patients with ruptured IA who received endovascular treatment at Jingzhou First People's Hospital during the inclusion period from September 2022 to December 2023. The entire dataset was randomly split into training and testing dataset with a 7:3 ratio.
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