Risk factors and a nomogram for predicting cognitive frailty in Chinese patients with lung cancer receiving drug therapy: A single-center cross-sectional study.

Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-7714 (Electronic) Linking ISSN: 17597706 NLM ISO Abbreviation: Thorac Cancer Subsets: MEDLINE

Publication: November 2012- : Singapore : Tianjin : Wiley Publishing Asia Pty Ltd ; Tianjin Lung Cancer Institute
Original Publication: Richmond, Vic. : Tianjin : Blackwell Pub. Asia Pty Ltd. ; Tianjin Lung Cancer Institute

Lung Neoplasms*/complications ; Lung Neoplasms*/drug therapy ; Frailty*; Humans ; Cross-Sectional Studies ; Nomograms ; Risk Factors ; Cognition ; China

Background: To identify independent factors of cognitive frailty (CF) and construct a nomogram to predict cognitive frailty risk in patients with lung cancer receiving drug therapy.
Methods: In this cross-sectional study, patients with lung cancer undergoing drug therapy from October 2022 to July 2023 were enrolled. The data collected includes general demographic characteristics, clinical data characteristics and assessment of tools for cognitive frailty and other factors. Logistic regression was harnessed to determine the influencing factors, R software was used to establish a nomogram model to predict the risk of cognitive frailty. The enhanced bootstrap method was employed for internal verification of the model. The performance of the nomogram was evaluated by using calibration curves, the area under the receiver operating characteristic curve, and decision curve analysis.
Results: A total of 372 patients were recruited, with a cognitive frailty prevalence of 56.2%. Age, education background, diabetes mellitus, insomnia, sarcopenia, and nutrition status were identified as independent factors. Then, a nomogram model was constructed and patients were classified into high- and low-risk groups with a cutoff value of 0.552. The internal validation results revealed good concordance, calibration and discrimination. The decision curve analysis presented prominent clinical utility.
Conclusions: The prevalence of cognitive frailty was higher in lung cancer patients receiving drug therapy. The nomogram could identify the risk of cognitive frailty intuitively and simply in patients with lung cancer, so as to provide references for early screening and intervention for cognitive frailty at the early phases of drug treatment.
(© 2024 The Authors. Thoracic Cancer published by John Wiley & Sons Australia, Ltd.)

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KY201701 Aiyou Foundation; CICAMS-MOTRP 2022004 the Nursing Project of Medical Oncology Key Foundation of Cancer Hospital, Chinese Academy of Medical Sciences; 2022-I2M-1-009 CAMS Innovation Fund for Medical Sciences; 82241229 the General Program of the NSFC general program of China; 82272796 the General Program of the NSFC general program of China

Keywords: cognitive frailty; lung cancer; nomogram; predicting model; risk factors

Date Created: 20240307 Date Completed: 20240416 Latest Revision: 20240425

20240425

PMC11016407

10.1111/1759-7714.15256

38451002