ArticleAging clinical and experimental research2025
Laboratory frailty index improves prediction of in-hospital falls among older adults.
Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo explore the association between Frailty Index based on laboratory tests (FI-lab) and in-hospital fall risk in older adults, and to explore whether incorporating FI-lab improves the predictive accuracy of a traditional fall risk prediction tool.
methodsWe conducted a retrospective cohort study using electronic medical records from patients aged ≥ 60 years who were admitted to Nagoya University Hospital in 2020. We assessed fall risk using the St. Thomas's Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY). We calculated FI-lab based on 35 common laboratory parameters tested on admission. Each fall was reported prospectively by nurses through computer-based incident report forms. The relationship between FI-lab and in-hospital falls was analyzed using multivariate binomial logistic regression. Predictive performance was compared using the area under the receiver operating characteristic curve (AUROC) and net reclassification improvement (NRI). Missing data were not imputed and internal validation used 1000-bootstrap optimism-correction.
resultsData for 5984 patients were included (mean age 73 years, 63.5% male). The mean FI-lab score was 0.31 ± 0.16. Falls occurred in 175 patients (2.9%) during a median hospital stay of 9 days. FI-lab was associated with falls independently of STRATIFY. Adding FI-lab to STRATIFY significantly improved its predictive accuracy, increasing AUROC from 0.674 to 0.715 (p = 0.018), with NRI of 0.413 (p < 0.001). Calibration slope after internal validation was 0.97.
conclusionsFI-lab on admission was independently associated with in-hospital fall risk and improved the predictive ability of STRATIFY. FI-lab could be a valuable component in more accurate fall prediction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.