کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5733666 1612511 2018 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sarcopenia is a risk factor for complications and an independent predictor of hospital length of stay in trauma patients
ترجمه فارسی عنوان
سارکوپنی یک عامل خطر برای عوارض و یک پیش بینی مستقل از طول عمر بیمار در بیماران مبتلا به تروما است
کلمات کلیدی
سارکوپنی مدت اقامت، نتایج بیمارستان، تروما
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی عمل جراحی
چکیده انگلیسی

BackgroundSarcopenia is an independent risk factor for adverse outcomes in critically ill patients. The impact of sarcopenia on morbidity and length of stay in a trauma population has not been completely defined. This project evaluated the influence of sarcopenia on patients admitted to the trauma service.Materials and methodsA retrospective review of 778 patients presenting as a trauma alert at a single institution from 2012-2014 was completed. Records were abstracted for comorbidities and hospital complications. The Hounsfield Unit Area Calculation was collected from admission computed tomography scans. Criteria for sarcopenia were based on the lowest 25th percentile of muscle density measurements. Relationships to patient outcomes were evaluated by univariate and multivariable regression or analyses of variance, when applicable.ResultsA total of 432 (55.6%) patients suffered a complication. Sarcopenia was associated with overall complications (P < 0.0001, relative risk 2.54, confidence interval 1.78-3.61) and was an independent risk factor for catheter-associated urinary tract infections (P = 0.011), wound infections (P = 0.011), need for reintubation (P = 0.0062), and length of hospitalization (P = 0.0007). Incorporating sarcopenia into a novel length of stay calculator showed increased prognostic ability for prolonged length of stay over Abbreviated Injury Scale alone (P = 0.0002).ConclusionsSarcopenia is an independent risk factor for adverse outcomes and increased length of stay in trauma patients. Prognostic algorithms incorporating sarcopenia better predict hospital length of stay. Identification of patients at risk may allow for targeted interventions early in the patient's hospital course.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Surgical Research - Volume 221, January 2018, Pages 161-166
نویسندگان
, , , , , ,