Decision Tool for Predicting Outcomes in Geriatric Acute Mesenteric Ischemia

التفاصيل البيبلوغرافية
العنوان: Decision Tool for Predicting Outcomes in Geriatric Acute Mesenteric Ischemia
المؤلفون: Kyle C. Murphy, Andrew C. Bernard, Danielle Kay, Daniel L. Davenport
المصدر: The American Surgeon. 84:1247-1251
بيانات النشر: SAGE Publications, 2018.
سنة النشر: 2018
مصطلحات موضوعية: medicine.medical_specialty, Creatinine, Univariate analysis, Decision tool, business.industry, MEDLINE, 030208 emergency & critical care medicine, Retrospective cohort study, General Medicine, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Acute mesenteric ischemia, chemistry, 030220 oncology & carcinogenesis, Internal medicine, medicine, Risk of mortality, Population study, business
الوصف: Acute mesenteric ischemia is a morbid disease process that is most common in elderly patients who often have multiple medical comorbidities. Intervention can progress to costly and futile care. The goal of this study was to develop a tool for practitioners to assess the risk of mortality. Patients treated at our institution over the past decade diagnosed with acute mesenteric ischemia were identified. Patients aged less than 65 years were excluded. Data were collected by retrospective chart review. Univariate analysis was used to identify significant risk factors for death. Decision tree analysis yielded a prognostic tool to assess death risk. Univariate analysis demonstrated that lactate (P ≤ 0.001) and pressor requirement (P ≤ 0.001) were predictive of death. Decision tree analysis showed that 79 per cent of patients with day of surgery (DOS) lactate ≥5.4 died postoperatively. Seventy per cent of patients with DOS lactate 1.18. Only 6.1 per cent patients with a DOS lactate
تدمد: 1555-9823
0003-1348
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f3771aa4767a062834c7365ce68fc9fa
https://doi.org/10.1177/000313481808400830
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........f3771aa4767a062834c7365ce68fc9fa
قاعدة البيانات: OpenAIRE