ArticleClinical interventions in aging2020
Developing a Scoring Model to Predict the Risk of Injurious Falls in Elderly Patients: A Retrospective Case-Control Study in Multicenter Acute Hospitals.
Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.
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13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- A Systematic Review of Multivariate Models for Predicting Fall-Related Injuries in Older Adults.Journal of nursing management · 2026Pooled it
- Prevalence and risk factors of falls in people on hemodialysis: a systematic review and meta-analysis.Renal failure · 2025Pooled it
- Risk prediction models for falls in hospitalized older patients: a systematic review and meta-analysis.BMC geriatrics · 2025Pooled it
- Cardiovascular Disorders and Falls Among Older Adults: A Systematic Review and Meta-Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Pooled it
- Relationship between serum PTH, potassium (K+), calcium (Ca2+), blood phosphate (PO4), parathyroid hormone (PTH), albumin (ALB) levels and orthostatic hypotension in hemodialysis patients.Journal of medical biochemistry · 2025Article
- Laboratory frailty index improves prediction of in-hospital falls among older adults.Aging clinical and experimental research · 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
- Analysis of Hospital Safety and Risk of Falls in the Elderly: A Cross-Sectional Study in Brazil.International journal of environmental research and public health · 2024Article
- Developing a rapid predictive model for falls in older hospitalized patients.Frontiers in public health · 2024Observational
- Validation of the Saga Fall Injury Risk Model.International journal of medical sciences · 2024Observational
- The association of peripheral neuropathy detected by monofilament testing with risk of falls and fractures in older adults.Journal of the American Geriatrics Society · 2023Article
- CT radiomics model combined with clinical and radiographic features for discriminating peripheral small cell lung cancer from peripheral lung adenocarcinoma.Frontiers in oncology · 2023Article
- Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature.Applied clinical informatics · 2022Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeInjurious falls seriously threaten the safety of elderly patients. Identifying risk factors for predicting the probability of injurious falls is an important issue that still needs to be solved urgently. We aimed to identify predictors and develop a nomogram for distinguishing populations at high risk of injurious falls from older adults in acute settings. PATIENTS AND
methodsA retrospective case-control study was conducted at three hospitals in Shanghai, China. Elderly patients with injurious falls from January 2014 to December 2018 were taken as cases, and control patients who did not have falls were randomly matched based on the admission date and the department. The data were collected through a medical record review and adverse events system. The original data set was randomly divided into a training set and a validation set at a 7:3 ratio. A nomogram was established based on the results of the univariate analysis and multivariate logistic regression analysis, and its discrimination and calibration were verified to confirm the accuracy of the prediction. The cut-off value of risk stratification was determined to help medical staff identify the high-risk groups.
resultsA total of 115 elderly patients with injurious falls and 230 controls were identified. History of fractures, orthostatic hypotension, functional status, sedative-hypnotics and level of serum albumin were independent risk factors for injurious falls in elderly patients. The C-indexes of the training and validation sets were 0.874 (95% CI: 0.784-0.964) and 0.847 (95% CI: 0.771-0.924), respectively. Calibration curves were drawn and showed acceptable predictive performance. The cut-off values of the training and validation sets were 146.3 points (sensitivity: 73.7%; specificity: 87.5%) and 157.2 points (sensitivity: 69.2%; specificity: 85.5%), respectively.
conclusionThe established nomogram facilitates the identification of high-risk populations among elderly patients, providing a new assessment tool to forecast the individual risk of injurious falls.
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