Introduction.Acute peritonitis still remains one of the most severe and threatening abdominal cavity disease. An important component of the treatment of acute peritonitis is the ability to prognose adequately the possibility of postoperative complications, which allows to use appropriate preventive measures. For the case, numerous methods, based on the account of various parameters, are developed. But none of them is fully accepted, and useful.Purpose. To develop an informative scale for postoperative complications predicting. Material and method. The retrospective analysis of outcome of treatment of 169 patients with acute surgical pathology of abdominal organs complicated by various forms of peritonitis, 79 of whom developed postoperative complications results are presented. The dependence of occurrence and severity of complications on the nature of the underlying disease, clinical manifestations of peritonitis before surgery, anthropometric data research, laboratory methods, Mannheim peritonitis index parameters, comorbidity class, age were studied, using the analysis of variance.Results. A scale according to which the prediction of complications is conducted in two stages, was developed. Before the surgery, we estimate the previous risk according to the nature of the underlying disease, clinical manifestations of peritonitis, comorbidity class. According to identified changes, the finalestimation due to the nature of the underlying disease, Mannheim peritonitis index parameters, comorbidity class, stab neutrophil leukocytes number, use of programmedperitoneal cavity sanations is being made during the operation. These indicators provided a certain number of points. Due to this points, patients were referred to several groups: normal group (less than 18), increased (18-25), medium (26-34) and high (more than 35) the risk of complications.Conclusions. The developed scale makes it possible to apply the necessary preventive measures at all stages of treatment, since preoperative preparation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.