Healthcare, Vol. 13, Pages 777: Bayesian Analysis of Length of Stay Determinants in ERAS-Guided Hip Arthroplasty

Healthcare doi: 10.3390/healthcare13070777

Authors:
Nan Yao
Xiaoyan Wang
Meng Yang
Xinglei Wang
Xinman Dou

Background and Objectives: 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. Methods: 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. Results: A total of 408 patients were included, with a mean length of stay of 12.01 ± 4.281 days. Right lower extremity strength (t = 2.794, p = 0.005), activities of daily living score (t = −3.481, p = 0.001), C-reactive protein (t = −2.514, p = 0.016), thrombin time (t = −2.393, p = 0.019), and prothrombin activity (t = 2.582, p = 0.013) can directly affect the length of stay in patients with total hip arthroplasty. Also, age (F = 1.958, p = 0.006) and erythrocyte sedimentation rate (t = −2.519, p = 0.015) were found to affect the length of hospital stay indirectly. Conclusions: 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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Nan Yao www.mdpi.com