AI Summary & Key Takeaways
AI InsightIf validated, this simple approach can contribute to thedevelopment of new personalized treatment strategies.
📌 3 Key Takeaways
Abstract
Introduction: The role of laboratory biomarkers for predicting adverse clinical outcomes after laparoscopiccholecystectomy is unclear. This study aimed to investigate the potential biomarkers for predicting admis sion to intensive care unit (ICU) in patients who underwent laparoscopic cholecystectomy. Materials and Methods: All patients over 18 years old that underwent successful laparoscopic cholecys tectomy between February 20, 2019, and June 15, 2021, at Ankara City Hospital Department of GeneralSurgery were included in the study. The main outcome of the study was unplanned admission to ICU afterlaparoscopic cholecystectomy. Stata statistical package program (version 15.1/IC; StataCorp) was used toperform all data analyses. Results: Of 877 patients that were included in the current study, 76 (8.6%) were admitted to ICU. Multivari able logistic regression analysis revealed that lower levels of potassium (odds ratio [OR]: 0.206; 95% confi dence interval [CI]: 0.109–0.388; p<0.001) and higher levels of monocyte (OR: 3.145; 95% CI: 1.472–6.715;p=0.003), total bilirubin (OR: 1.002; 95% CI: 1.001–1.003; p<0.001) and neutrophil (OR: 1.171; 95% CI: 1.102– 1.244; p<0.001) were independently associated with an increased risk of admission to ICU. The accuracy ofpredicting ICU admission was assessed by the area under the receiver operating characteristic curve whichwas = 0.83. A nomogram was developed with significant predictors (neutrophil, total bilirubin, monocyte,and potassium) for the admission ICU. Conclusion: This is the first study investigating the role of laboratory parameters for predicting the need forICU admission after laparoscopic cholecystectomy. If validated, this simple approach can contribute to thedevelopment of new personalized treatment strategies.