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Use of NeuroXL Classofier to predict postoperative complications in patients with primary and postoperative ventral hernia in morbid obesity
Author(s) -
V. I. Piatnochka,
I. I. Dovha
Publication year - 2022
Publication title -
špitalʹna hìrurgìâ
Language(s) - English
Resource type - Journals
eISSN - 2414-4533
pISSN - 1681-2778
DOI - 10.11603/2414-4533.2021.4.12711
Subject(s) - medicine , surgery , seroma , incisional hernia , hernia , dissection (medical) , hematoma , abdominal compartment syndrome , complication , abdomen
The aim of the work: based on the use of the program of multiparametric neural network clustering to analyze the results of examination and surgical treatment of patients with primary and postoperative ventral hernia in morbid obesity to identify a group of patients with high risk of complications in the postoperative period. Materials and Methods. A comprehensive clinical-instrumental and laboratory examination of 237 patients with primary ventral and postoperative ventral hernia with concomitant morbid obesity with subsequent assessment of the nature of complications in the early and late postoperative periods was conducted. Patients were examined according to standards with this nosology, including general clinical, detailed study of all organs and systems of the body and local status (location, size, length of hernial protrusion) according to the EHS classification (2009). In the postoperative period, early (prolonged lymphorrhea, seroma, hematoma, infiltrate, marginal necrosis of the skin, suppuration) and late (mesh migration, meshomas, intestinal and ligature fistulas, mesh rejection, chronic pain, hernia recurrence) local and general (abdominal compartment syndrome, pulmonary embolism, pneumonia, myocardial infarction) complications. Clustering of subjects by groups using the add-on NeuroXL Classifier for Microsoft Excel was conducted for more in-depth analysis and in order to predict the complications in the postoperative period Results and Discussion. Analysis of cluster pictures during neural clustering based on clinical and anamnestic data and types of surgical interventions revealed that in predicting the risk of complications in the postoperative period based on combined changes, the combination of sex, obesity II-III and respiratory failure when own tissue hernioplasty and Onlay in patients were the most important. It should also be noted that the identified pattern primarily relates to the development of complications such as acute cerebrovascular accident, seroma and marginal necrosis of the postoperative wound. The lowest complication rate was observed in obese patients during laparoscopic hernioplasty and eMILOS (mini/less open sublay).

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