ArticleThe journal of nutrition, health & aging2013
In-hospital fall-risk screening in 4,735 geriatric patients from the LUCAS project.
Article in The journal of nutrition, health & aging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Risk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis.BMC geriatrics · 2025Pooled it
- Medications associated with falls in older people: systematic review of publications from a recent 5-year period.European journal of clinical pharmacology · 2015Pooled it
- Multifactorial predictors of falls in older adults: a decade of data from the National Health and Aging Trends Study.BMC geriatrics · 2025Article
- External Validation of the Saga Fall-Related Injury Risk Model and Exploration of Common Factors in Multiple Hospitals: A Retrospective Observational Study.Clinical interventions in aging · 2025Observational
- A Simple and Accurate Model for Predicting Fall Injuries in Hospitalized Patients: Insights from a Retrospective Observational Study in Japan.Medical science monitor : international medical journal of experimental and clinical research · 2023Observational
- Risk Factors Associated with Falls among Nursing Home Residents: A Case-Control Study.Portuguese journal of public health · 2022Article
- Observational
- Temporal prediction of in-hospital falls using tensor factorisation.BMJ innovations · 2018Article
- Predicting Falls in People Aged 65 Years and Older from Insurance Claims.The American journal of medicine · 2017Article
- The Role of Cognitive Factors in Predicting Balance and Fall Risk in a Neuro-Rehabilitation Setting.PloS one · 2016Article
- Pro-Active Fall-Risk Management is Mandatory to Sustain in Hospital-Fall Prevention in Older Patients--Validation of the LUCAS Fall-Risk Screening in 2,337 Patients.The journal of nutrition, health & aging · 2015Article
- Geriatric patients with cognitive impairment.Deutsches Arzteblatt international · 2015Article
- Quality and innovations for caring hospitalized older persons in the unites States.Aging and disease · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesIn-hospital falls in older patients are frequent, but the identification of patients at risk of falling is challenging. Aim of this study was to improve the identification of high-risk patients. Therefore, a simplified screening-tool was developed, validated, and compared to the STRATIFY predictive accuracy.
designRetrospective analysis of 4,735 patients; evaluation of predictive accuracy of STRATIFY and its single risk factors, as well as age, gender and psychotropic medication; splitting the dataset into a learning and a validation sample for modelling fall-risk screening and independent, temporal validation.
settingGeriatric clinic at an academic teaching hospital in Hamburg, Germany.
participants4,735 hospitalised patients ≥65 years. MEASUREMENTS: Sensitivity, specificity, positive and negative predictive value, Odds Ratios, Youden-Index and the rates of falls and fallers were calculated.
resultsThere were 10.7% fallers, and the fall rate was 7.9/1,000 hospital days. In the learning sample, mental alteration (OR 2.9), fall history (OR 2.1), and insecure mobility (Barthel-Index items 'transfer' + 'walking' score = 5, 10 or 15) (OR 2.3) had the most strongest association to falls. The LUCAS Fall-Risk Screening uses these risk factors, and patients with ≥2 risk factors contributed to the high-risk group (30.9%). In the validation sample, STRATIFY SENS was 56.8, SPEC 59.6, PPV 13.5 and NPV 92.6 vs. LUCAS Fall-Risk Screening was SENS 46.0, SPEC 71.1, PPV 14.9 and NPV 92.3.
conclusionsBoth the STRATIFY and the LUCAS Fall-Risk Screening showed comparable results in defining a high-risk group. Impaired mobility and cognitive status were closely associated to falls. The results do underscore the importance of functional status as essential fall-risk factor in older hospitalised patients.
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.