ArticleAging clinical and experimental research2019
Predictive model of length of stay in hospital among older patients.
Article in Aging clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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
33 citing papers in PubMed.
- Intrinsic capacity and resilience in hospitalized older adults: a gender-stratified analysis of the PRIFOR score.BMC geriatrics · 2026Article
- Development of Machine Learning Models to Predict Health Insurance Claim Costs Among Older Indonesians: A Retrospective Predictive Modeling Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Article
- A fine-grained transformer combined with multimodal data for predicting hospital length of stay in acute coronary syndrome.Scientific reports · 2026Article
- Development of a Novel Frailty Trigger for Use at Triage in the Emergency Department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
- Influences of Pre-fracture Mobility and Early Mobility on Healthcare Outcome Measures in Older Patients Undergoing Hip Fracture Surgery.Calcified tissue international · 2026Article
- A Comparison of Machine Learning-Based Models and a Simple Clinical Bedside Tool to Predict Morbidity and Mortality After Gastrointestinal Cancer Surgery in the Elderly.Bioengineering (Basel, Switzerland) · 2025Article
- Short-term urinary catheter usage in endoscopic skull base surgery and impact on urinary tract infection and reconstructive outcomes.World journal of otorhinolaryngology - head and neck surgery · 2025Article
- Treatment effect analysis of the Frailty Care Bundle (FCB) in a cohort of patients in acute care settings.Aging clinical and experimental research · 2024Article
- Effect of supplementary private health insurance on out-of-pocket inpatient medical expenditure: evidence from Malaysia.Health policy and planning · 2024Article
- Development and validation of a predictive model for prolonged length of stay in elderly type 2 diabetes mellitus patients combined with cerebral infarction.Frontiers in neurology · 2024Article
- An orthogeriatric service can reduce prolonged hospital length of stay in hospital for older adults admitted with hip fractures: a monocentric study.Aging clinical and experimental research · 2023Article
- Does age impact outcomes of retrograde intrarenal surgery in the elderly? Results from 366 patients from the FLEXible ureteroscopy outcomes registry (FLEXOR).Aging clinical and experimental research · 2023Article
- Sex differences in clinical outcomes amongst 1105 patients admitted with hip fractures.Internal and emergency medicine · 2023Article
- Association of Polypharmacy and Anticholinergic Burden with Length of Stay in Hospital Amongst Older Adults Admitted with Hip Fractures: A Retrospective Observational Study.Calcified tissue international · 2023Observational
- Inappropriate Hospital Stay of Patients Admitted Under Care of General Medicine Units: A retrospective study.Sultan Qaboos University medical journal · 2023Article
- Hospital length of stay and 30-day readmissions in older people: their association in a 20-year cohort study in Italy.BMC geriatrics · 2023Article
- Machine-learning prediction for hospital length of stay using a French medico-administrative database.Journal of market access & health policy · 2023Article
- Could vitamin D concentration be a marker of a long hospital stay in older adults patients?Frontiers in nutrition · 2023Article
- Frailty and postoperative urinary tract infection.BMC geriatrics · 2022Article
- Identification of preoperative factors and postoperative outcomes in relation to delays in surgery for hip fractures.Clinical medicine (London, England) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost National Health Service (NHS) hospital bed occupants are older patients because of their frequent admissions and prolonged length of stay (LOS). We evaluated demographic and clinical factors as predictors of LOS in a single NHS Trust and derived an equation to estimate LOS.
methodsStepwise logistic and linear regressions were used to predict prolonged LOS (upper-quintile LOS > 17 days) and LOS respectively, from demographic factors and acute and pre-existing conditions.
resultsOf 374 (men:women = 127:247) admitted patients (20% to orthogeriatric, 69% to general medical and 11% to surgical wards), median age of 85 years (IQR = 78-90), 77 had acute first hip fracture; 297 had previous hip fracture (median time since previous fracture = 2.4 years) and 21 (7.1%) had recurrent hip fracture, with median time since first fracture = 2.4 years. Median LOS was 6.5 days (IQR = 1.8-14.8), and 38 (10.2%) died after 4.8 days (IQR = 1.6-14.3). Prolonged LOS was associated with discharge to places other than usual residence: OR = 3.1 (95% CI 1.7-5.7), acute stroke: OR = 10.1 (3.7-26.7), acute first hip fractures: OR = 6.8 (3.1-14.8), recurrent hip fractures: OR = 9.5 (3.2-28.7), urinary tract infection/pneumonia: OR = 4.0 (2.1-8.0), other acute fractures: OR = 9.8 (3.0-32.3) and malignancy: OR = 15.0 (3.1-71.8). Predictive equation showed estimated LOS was 11.6 days for discharge to places other than usual residence, 15 days for pre-existing or acute stroke, 9-14 days for acute and recurrent hip fractures, infections, other acute fractures and malignancy; these factors together explained 32% of variability in LOS.
conclusionsA useful estimate of outcome and LOS can be made by constructing a predictive equation from information on hospital admission, to provide evidence-based guidance for resource requirements and discharge planning.
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.