کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4291372 1612221 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Risk Stratification for Readmission after Major Hepatectomy: Development of a Readmission Risk Score
ترجمه فارسی عنوان
تسریع خطر برای مجدد پس از جراحی سنگ کلیه: توسعه یک ریسک رضایت نامه
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی عمل جراحی
چکیده انگلیسی

BackgroundHospital readmission is becoming a quality measure, despite poor understanding of the risks of readmission. This study examines readmission risk factors after major hepatectomy and develops a predictive model.Study DesignA retrospective review was performed on patients who had undergone major hepatectomy at 1 of 3 academic centers between the years 2000 and 2012. Clinicopathologic and perioperative data were analyzed for risk factors of 90-day readmission using logistic regression. A readmission risk score was developed and validated in a separate validation set to determine its predictive value.ResultsOf 1,184 hepatectomies performed, 17.3% of patients were readmitted within 90 days. Factors associated with readmission include operative blood loss (odds ratio [OR] = 1.00; 95% CI, 1.000–1.001), any postoperative complication (OR = 4.3; 95% CI, 1.8–10.4), a major postoperative complication (OR = 5.7; 95% CI, 3.2–10.2), postoperative pulmonary embolism (OR = 12.2; 95% CI, 1.9–78.4), no postoperative blood transfusion (OR = 3.3; 95% CI, 1.7–6.2), surgical site infection (OR = 5.3; 95% CI, 2.9–10.0), and post-hepatectomy hyperbilirubinemia (OR = 1.1; 95% CI, 1.1–1.2). A scoring system based on these risk factors accurately predicted readmission in the validation cohort. A score of >20 points had a positive predictive value of 30.8% and negative predictive value of 95.6%, and a score >50 had a positive predictive value of 50.9% and negative predictive value of 87.7%. This risk score accurately stratifies readmission risk.ConclusionsThe risk of hospital readmission within 90 days after major hepatectomy is high and is reliably predicted with a novel scoring system.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the American College of Surgeons - Volume 220, Issue 4, April 2015, Pages 640–648
نویسندگان
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