کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
6208464 1265874 2016 4 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Perioperative Predictors of Length of Stay After Total Hip Arthroplasty
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی ارتوپدی، پزشکی ورزشی و توانبخشی
پیش نمایش صفحه اول مقاله
Perioperative Predictors of Length of Stay After Total Hip Arthroplasty
چکیده انگلیسی

BackgroundFew studies had examined whether specific patient variables or performance on functional testing can predict length of stay (LOS) after total hip arthroplasty (THA). Such tools would enable providers to minimize prolonged LOS by planning appropriate discharge dispositions preoperatively.MethodsWe prospectively recruited 120 patients undergoing a THA through an anterior (n = 40), posterior (n = 40), or lateral (n = 40) approach. Patients performed a timed up-and-go (TUG) test preoperatively to determine if it was predictive of hospital LOS after THA. Other variables of interest included patient age, body mass index, age-adjusted Charlson Comorbidity Index, mean procedure time, and time spent in the postanesthetic care unit. A logistic regression analysis was performed to determine which variables predicted LOS greater than 48 hours, which is our institution's target time to discharge.ResultsThe TUG test was predictive of LOS beyond 48 hours. For every 5-second interval increase in TUG time, patients were twice as likely to stay in hospital beyond 48 hours (odds ratio [OR] = 2.02, 95% confidence interval [CI] = 1.02-4.01, P = .043). Patient age (OR = 0.97, 95% CI = 0.90-1.05, P = .46), body mass index (OR = 1.01, 95% CI = 0.86-1.18, P = .90), Charlson Comorbidity Index (OR = 1.29, 95% CI = 0.68-2.44, P = .44), mean procedure time (OR = 1.05, 95% CI = 0.97-1.14, P = .27), and mean time in the postanesthetic care unit (OR = 1.00, 95% CI = 0.99-1.00, P = .94) were not predictive of increased LOS.ConclusionThe TUG test was predictive of hospital LOS after THA. It is a simple functional test that can be used to assist with discharge planning preoperatively to minimize extended hospital stays.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of Arthroplasty - Volume 31, Issue 7, July 2016, Pages 1427-1430
نویسندگان
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