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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Autores principales: Rocco Papalia, Biagio Zampogna, Guglielmo Torre, Giuseppe Francesco Papalia, Ferruccio Vorini, Marco Bravi, Erika Albo, Antonio De Vincentis, Vincenzo Denaro
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Publicado: MDPI AG 2021
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic total hip arthroplasty
comorbidity
hospitalization
renal function
glomerular filtration rate
Medicine
R
spellingShingle 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
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