慢性心力衰竭患者衰弱变化轨迹及其影响因素
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女,硕士在读,护士

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2021年度南京市卫生科技发展专项资金项目(YKK21122)


Trajectories of frailty in patients with chronic heart failure and their influencing factors
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    摘要:

    目的 探索慢性心力衰竭患者衰弱变化轨迹及其影响因素,为针对性干预提供参考。方法 采用方便抽样法选取住院治疗的105例慢性心力衰竭患者,对其入院至出院后6个月期间分为4个时间点进行衰弱评估,了解衰弱变化轨迹,分析影响因素。结果 4个时间点患者衰弱评分分别为2(1,3)分、2(0.3)分、1(0,3)分、1(0,3)分;衰弱轨迹分为低水平缓降组(47.6%)、中水平下降组(18.1%)、中水平上升组(34.3%)3个潜类别;多分类logistic回归分析结果显示,年龄、身体质量指数、共病种数、血红蛋白、心功能分级、抑郁和体力活动是患者衰弱轨迹的影响因素(均P<0.05)。结论 慢性心力衰竭患者经住院治疗护理,衰弱水平总体呈好转趋势,衰弱轨迹分为3个潜类别,轨迹具有异质性;护理人员可针对不同类别、不同阶段及影响因素制定干预计划,实现精准护理。

    Abstract:

    Objective To explore the trajectories of frailty and their influencing factors among patients with chronic heart failure (CHF), and to provide a reference for targeted intervention.Methods A total of 105 CHF patients were selected by convenience sampling method, and their frailty was assessed at four time points from admission to 6 months after discharge.The trajectory of frailty and influencing factors were determined.Results The median (P25-P75) of frailty score was 2(1,3),2(0,3), 1(0,3), and 1(0,3) at four time points, respectively.Three distinct frailty trajectories were identified: low-level slow decline group (47.6%), medium-level decline group (18.1%), and medium-level rise group (34.3%).Multivariate logistic regression analysis revealed that age, body mass index, the number of co-morbidities, hemoglobin value, cardiac function grading, depression, and physical activity were the influencing factors for the frailty trajectories (all P<0.05).Conclusion CHF patients, after inpatient treatment and nur-sing care, show an overall trend of improvement in frailty. There are three frailty trajectories, with significant heterogeneity in the trajectory. Frailty trajectories may offer a way to target individuals in different subgroups, at different periods and with different influencing factors for precise interventions.

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丁华,李朝凤,程钰,严静,张瑜,王岩岩,张馨,李云.慢性心力衰竭患者衰弱变化轨迹及其影响因素[J].护理学杂志,2024,39(3):39-44

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  • 收稿日期:2023-09-20
  • 最后修改日期:2023-11-30
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  • 在线发布日期: 2024-06-24