Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases
The aim of this retrospective investigation is to evaluate the correlation between several preoperative and perioperative factors and the length of hospital stay in patients that underwent elective total hip arthroplasty with overnight admission. Medical records of patients that underwent THA from t...
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2021
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oai:doaj.org-article:a162faf645c14353b584ae8112ef5f0c2021-11-11T17:40:33ZPreoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases10.3390/jcm102150532077-0383https://doaj.org/article/a162faf645c14353b584ae8112ef5f0c2021-10-01T00:00:00Zhttps://www.mdpi.com/2077-0383/10/21/5053https://doaj.org/toc/2077-0383The aim of this retrospective investigation is to evaluate the correlation between several preoperative and perioperative factors and the length of hospital stay in patients that underwent elective total hip arthroplasty with overnight admission. Medical records of patients that underwent THA from the beginning of 2016 to the end of 2018 were retrospectively screened. Demographics, comorbidities, whole blood count, intraoperative details, and length of postoperative stay were retrieved. The association between clinical, laboratory and surgical factors and the length of hospital stay was explored by means of negative binomial and logistic regression models. The median length of postoperative hospital stay was four days (Inter Quartile Range, IQR 3, 5). After univariate regression a stepwise multivariate regression showed that operative time (<i>p</i> = 0.001), the preoperative serum creatinine (<i>p</i> < 0.001), the intraoperative blood loss (<i>p</i> = 0.04) and the use of an anterolateral approach (<i>p</i> < 0.001) were found to correlate significantly with the increase of the hospitalization length, while no significant correlation was found for all the other features. Multivariable model fitted through logistic regression (LOS below or over the median value of four days) had an Area Under the Curve (AUC) of 0.748. Our analysis suggests a significant role played by different preoperative and perioperative variables in influencing the length of hospital stay.Rocco PapaliaBiagio ZampognaGuglielmo TorreGiuseppe Francesco PapaliaFerruccio VoriniMarco BraviErika AlboAntonio De VincentisVincenzo DenaroMDPI AGarticletotal hip arthroplastycomorbidityhospitalizationrenal functionglomerular filtration rateMedicineRENJournal of Clinical Medicine, Vol 10, Iss 5053, p 5053 (2021) |
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total hip arthroplasty comorbidity hospitalization renal function glomerular filtration rate Medicine R |
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total hip arthroplasty comorbidity hospitalization renal function glomerular filtration rate Medicine R Rocco Papalia Biagio Zampogna Guglielmo Torre Giuseppe Francesco Papalia Ferruccio Vorini Marco Bravi Erika Albo Antonio De Vincentis Vincenzo Denaro Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases |
description |
The aim of this retrospective investigation is to evaluate the correlation between several preoperative and perioperative factors and the length of hospital stay in patients that underwent elective total hip arthroplasty with overnight admission. Medical records of patients that underwent THA from the beginning of 2016 to the end of 2018 were retrospectively screened. Demographics, comorbidities, whole blood count, intraoperative details, and length of postoperative stay were retrieved. The association between clinical, laboratory and surgical factors and the length of hospital stay was explored by means of negative binomial and logistic regression models. The median length of postoperative hospital stay was four days (Inter Quartile Range, IQR 3, 5). After univariate regression a stepwise multivariate regression showed that operative time (<i>p</i> = 0.001), the preoperative serum creatinine (<i>p</i> < 0.001), the intraoperative blood loss (<i>p</i> = 0.04) and the use of an anterolateral approach (<i>p</i> < 0.001) were found to correlate significantly with the increase of the hospitalization length, while no significant correlation was found for all the other features. Multivariable model fitted through logistic regression (LOS below or over the median value of four days) had an Area Under the Curve (AUC) of 0.748. Our analysis suggests a significant role played by different preoperative and perioperative variables in influencing the length of hospital stay. |
format |
article |
author |
Rocco Papalia Biagio Zampogna Guglielmo Torre Giuseppe Francesco Papalia Ferruccio Vorini Marco Bravi Erika Albo Antonio De Vincentis Vincenzo Denaro |
author_facet |
Rocco Papalia Biagio Zampogna Guglielmo Torre Giuseppe Francesco Papalia Ferruccio Vorini Marco Bravi Erika Albo Antonio De Vincentis Vincenzo Denaro |
author_sort |
Rocco Papalia |
title |
Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases |
title_short |
Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases |
title_full |
Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases |
title_fullStr |
Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases |
title_full_unstemmed |
Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases |
title_sort |
preoperative and perioperative predictors of length of hospital stay after primary total hip arthroplasty—our experience on 743 cases |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/a162faf645c14353b584ae8112ef5f0c |
work_keys_str_mv |
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