ArticleFrontiers in nutrition2022
Development and validation of risk prediction model for identifying 30-day frailty in older inpatients with undernutrition: A multicenter cohort study.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- Development and validation of PRE-FRA (PREdiction of FRAilty risk in community older adults) frailty prediction model.Frontiers in public health · 2025Article
- Predicting the unseen: nutritional interventions as a key to combat frailty.Frontiers in nutrition · 2025Article
- Myokines and Biomarkers of Frailty in Older Inpatients with Undernutrition: A Prospective Study.The Journal of frailty & aging · 2024Article
- Validity and reliability of a Chinese language suicide screening questionnaire-observer rating (CL-SSQ-OR) assessment for children/adolescents.Frontiers in psychiatry · 2023Article
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Authors and funding
13 authors at 11 institutions in 4 countries.
Funding
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Abstract
Objective: To develop and externally validate a frailty prediction model integrating physical factors, psychological variables and routine laboratory test parameters to predict the 30-day frailty risk in older adults with undernutrition. Methods: Based on an ongoing survey of geriatrics syndrome in elder adults across China (SGSE), this prognostic study identified the putative prognostic indicators for predicting the 30-day frailty risk of older adults with undernutrition. Using multivariable logistic regression analysis with backward elimination, the predictive model was subjected to internal (bootstrap) and external validation, and its calibration was evaluated by the calibration slope and its C statistic discriminative ability. The model derivation and model validation cohorts were collected between October 2018 and February 2019 from a prospective, large-scale cohort study of hospitalized older adults in tertiary hospitals in China. The modeling derivation cohort data ( Results: The incidence of frailty in the older undernutrition derivation cohort was 13.54% and 13.43% in the validation cohort. The final model developed to estimate the individual predicted risk of 30-day frailty was presented as a regression formula: predicted risk of 30-day frailty = [1/(1+e Conclusion: A new prediction model that quantifies the absolute risk of frailty of older patients suffering from undernutrition was developed and externally validated. Based on physical, psychological, and biological variables, the model provides an important assessment tool to provide different healthcare needs at different times for undernutrition frailty patients. Clinical trial registration: Chinese Clinical Trial Registry [ChiCTR1800017682].
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