Bayesian Analysis of Length of Stay Determinants in ERAS-Guided Hip Arthroplasty

<b>Background and Objectives</b>: Total hip arthroplasty in China expanded rapidly post-2019. The length of hospital stay in these procedures reflects healthcare quality standards. This study analyzed the correlation between preoperative clinical factors and the length of hospital stay in total hip arthroplasty patients managed via an enhanced recovery after surgery protocol. <b>Methods</b>: Preoperative clinical variables were collected from total hip arthroplasty patients in an accelerated rehabilitation program. One-way ANOVA and other statistical methods analyzed correlations between these data and hospitalization time. <b>Results</b>: A total of 408 patients were included, with a mean length of stay of 12.01 ± 4.281 days. Right lower extremity strength (<i>t</i> = 2.794, <i>p</i> = 0.005), activities of daily living score (<i>t</i> = -3.481, <i>p</i> = 0.001), C-reactive protein (<i>t</i> = -2.514, <i>p</i> = 0.016), thrombin time (<i>t</i> = -2.393, <i>p</i> = 0.019), and prothrombin activity (<i>t</i> = 2.582, <i>p</i> = 0.013) can directly affect the length of stay in patients with total hip arthroplasty. Also, age (<i>F</i> = 1.958, <i>p</i> = 0.006) and erythrocyte sedimentation rate (<i>t</i> = -2.519, <i>p</i> = 0.015) were found to affect the length of hospital stay indirectly. <b>Conclusions</b>: This study demonstrated that right lower extremity strength, activities of daily living score, C-reactive protein, thrombin time, and prothrombin activity significantly influence the length of hospital stay in enhanced recovery after surgery-managed total hip arthroplasty patients. Therefore, early interventions should be made to address the above factors.

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Journal
Healthcare
Published
2025-03-31
DOI
https://doi.org/10.3390/healthcare13070777
Primary Topic
Orthopaedic implants and arthroplasty
Type
article
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article

Bayesian Analysis of Length of Stay Determinants in ERAS-Guided Hip Arthroplasty

Xiaoyan Wang, Xinman Dou, Meng Yang, Xing‐Lei Wang et al.
Healthcare
Orthopaedic implants and arthroplasty
article

Bayesian Analysis of Length of Stay Determinants in ERAS-Guided Hip Arthroplasty

Xiaoyan Wang, Xinman Dou, Meng Yang, Xing‐Lei Wang, Nan Yao
article en

Abstract

<b>Background and Objectives</b>: Total hip arthroplasty in China expanded rapidly post-2019. The length of hospital stay in these procedures reflects healthcare quality standards. This study analyzed the correlation between preoperative clinical factors and the length of hospital stay in total hip arthroplasty patients managed via an enhanced recovery after surgery protocol. <b>Methods</b>: Preoperative clinical variables were collected from total hip arthroplasty patients in an accelerated rehabilitation program. One-way ANOVA and other statistical methods analyzed correlations between these data and hospitalization time. <b>Results</b>: A total of 408 patients were included, with a mean length of stay of 12.01 ± 4.281 days. Right lower extremity strength (<i>t</i> = 2.794, <i>p</i> = 0.005), activities of daily living score (<i>t</i> = -3.481, <i>p</i> = 0.001), C-reactive protein (<i>t</i> = -2.514, <i>p</i> = 0.016), thrombin time (<i>t</i> = -2.393, <i>p</i> = 0.019), and prothrombin activity (<i>t</i> = 2.582, <i>p</i> = 0.013) can directly affect the length of stay in patients with total hip arthroplasty. Also, age (<i>F</i> = 1.958, <i>p</i> = 0.006) and erythrocyte sedimentation rate (<i>t</i> = -2.519, <i>p</i> = 0.015) were found to affect the length of hospital stay indirectly. <b>Conclusions</b>: This study demonstrated that right lower extremity strength, activities of daily living score, C-reactive protein, thrombin time, and prothrombin activity significantly influence the length of hospital stay in enhanced recovery after surgery-managed total hip arthroplasty patients. Therefore, early interventions should be made to address the above factors.

HealthcareVol. 13(7)
Lanzhou University Second Hospital (CN), Lanzhou University (CN)
Openalex Percentile: Top 89%
Orthopaedic implants and arthroplasty
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