Scholarlink

Background and objective <p>Frailty in older adults leads to falls, disability, hospitalization, and death. Identifying frail individuals is a crucial means to delay the onset of adverse results. Chronic inflammation plays a key role in the onset and progression of frailty. Our study aims to explore the relationship between inflammatory markers and frailty in older adults, thereby contributing to more accurate assessments of frailty.</p> Methods <p>We included 4,097 cases aged ≥ 60&#xa0;years admitted to the Geriatrics Department of Beijing Friendship Hospital between July 17, 2018 and February 27, 2024, 800 cases were ultimately included. Patients were divided into non-frail, pre-frail, and frail groups based on the Fried frailty phenotype. Logistic regression analyses were performed using “Python’s statsmodels library” to identify risk factors. “The Sklearn library” was used to assess the predictive power of these factors.</p> Results <p>Two hundred five individuals were identified as frail. Independent risk factors for frailty included age, coronary artery disease (CAD), old cerebral infarction (OCI), neutrophil, neutrophil to lymphocyte rate (NLR), high-sensitivity C-reactive protein (hs-CRP), albumin, fibrinogen to albumin ratio (FAR) and erythrocyte sedimentation rate (ESR). Receiver operating characteristic curve analysis of age, CAD, OCI, neutrophils, NLR, hs-CRP, albumin, FAR, and ESR showed AUCs of 0.851 and 0.841 for logistic regression and random forest models.</p> Conclusion <p>Inflammatory markers such as NLR, hs-CRP, FAR, and ESR, along with age, OCI, and CAD, were key independent risk factors for frailty. Incorporating these factors into predictive models could enhance frailty prediction.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Inflammatory markers and clinical factors as key independent risk factors for frailty: a retrospective study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月4日

查看全文
  • Mengying Zeng,
  • Yuanyuan Li,
  • Yuchen Zhu,
  • Ying Sun

摘要

Background and objective

Frailty in older adults leads to falls, disability, hospitalization, and death. Identifying frail individuals is a crucial means to delay the onset of adverse results. Chronic inflammation plays a key role in the onset and progression of frailty. Our study aims to explore the relationship between inflammatory markers and frailty in older adults, thereby contributing to more accurate assessments of frailty.

Methods

We included 4,097 cases aged ≥ 60 years admitted to the Geriatrics Department of Beijing Friendship Hospital between July 17, 2018 and February 27, 2024, 800 cases were ultimately included. Patients were divided into non-frail, pre-frail, and frail groups based on the Fried frailty phenotype. Logistic regression analyses were performed using “Python’s statsmodels library” to identify risk factors. “The Sklearn library” was used to assess the predictive power of these factors.

Results

Two hundred five individuals were identified as frail. Independent risk factors for frailty included age, coronary artery disease (CAD), old cerebral infarction (OCI), neutrophil, neutrophil to lymphocyte rate (NLR), high-sensitivity C-reactive protein (hs-CRP), albumin, fibrinogen to albumin ratio (FAR) and erythrocyte sedimentation rate (ESR). Receiver operating characteristic curve analysis of age, CAD, OCI, neutrophils, NLR, hs-CRP, albumin, FAR, and ESR showed AUCs of 0.851 and 0.841 for logistic regression and random forest models.

Conclusion

Inflammatory markers such as NLR, hs-CRP, FAR, and ESR, along with age, OCI, and CAD, were key independent risk factors for frailty. Incorporating these factors into predictive models could enhance frailty prediction.