Factors influencing and predicting the trajectory of care dependence among older hip fracture patients after total hip arthroplasty: a longitudinal study

IF 2.1 Q3 NURSING
Lu Wang , Zhuoqing Wu , Hong Zhou , Yanrui Ren
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Abstract

Objective

This study aimed to describe the development trajectory of care dependence in elderly total hip arthroplasty patients over a one-year survival period, identify heterogeneous care dependence trajectories, analyze the factors influencing the different underlying characteristics, further explore their predictors, and construct nomograms for prediction.

Methods

This study was conducted in three tertiary hospitals, 210 elderly patients over 60 who underwent total hip arthroplasty completed a one-year follow-up. Clinical evaluation and data collection were performed at surgical hospitalization and 1,6 and 12 months postoperatively. Latent growth mixed models(LGMM) were performed to explore the trajectories of change in patients' care dependence and identify heterogeneous trajectories. The multivariate logistic regression model was used to determine their predictors, and a nomogram was further constructed based on the predictors.

Results

The LGMM identified four classes of care dependency trajectories:“high dependency”,“dependency rising”,“dependency relief”,and“dependency decreasing”. The first two were referred to as “high-risk care dependency group” and the latter two were”low-risk care dependency group”. Regression analyses revealed age, education levels,comorbidity, postoperative complications, and whether to use an analgesic pump were independent predictors of heterogeneous care dependence trajectories, and a nomogram was constructed based on these predictors.

Conclusions

Older total hip arthroplasty patients have different heterogeneous trajectories of care dependency during one-year postoperative survival. Therefore, early assessment to predict the occurrence of heterogeneous trajectories of care dependency is important to improve the prognosis of elderly total hip arthroplasty patients and to help them return to independent living as soon as possible.
影响和预测老年髋部骨折患者全髋关节置换术后护理依赖轨迹的因素:一项纵向研究。
目的:本研究旨在描述老年全髋关节置换术患者一年生存期内护理依赖的发展轨迹,识别异质性护理依赖轨迹,分析影响不同潜在特征的因素,进一步探索其预测因子,构建预测图。方法:本研究在三所三级医院对210例60岁以上行全髋关节置换术的老年患者进行了为期一年的随访。在手术住院及术后1、6、12个月进行临床评价和资料收集。使用潜在生长混合模型(LGMM)来探索患者护理依赖的变化轨迹,并识别异质性轨迹。采用多元逻辑回归模型确定其预测因子,并基于预测因子构建nomogram。结果:LGMM识别出4类护理依赖轨迹:“高依赖”、“依赖上升”、“依赖缓解”和“依赖减少”。前两组称为“高风险护理依赖组”,后两组称为“低风险护理依赖组”。回归分析显示,年龄、教育程度、合并症、术后并发症和是否使用镇痛泵是异质性护理依赖轨迹的独立预测因素,并基于这些预测因素构建了nomogram。结论:老年全髋关节置换术患者在术后一年的生存期有不同的护理依赖轨迹。因此,早期评估预测异质性护理依赖轨迹的发生,对于改善老年全髋关节置换术患者的预后,帮助其尽快恢复独立生活具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.60
自引率
14.30%
发文量
34
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