Back

Determinants of One-Year Mortality After Hip Fracture in U.S. Older Adults: A Socio-Ecological Systematic Review and Meta-Analysis

Adeyemi, O.; Boatright, D.; Chodosh, J.

2026-02-11 orthopedics
10.64898/2026.02.10.26346053 medRxiv
Show abstract

BackgroundHip fracture remains a leading cause of morbidity and mortality among older adults in the United States. The aim of this systematic and meta-analytical review is to synthesize available evidence on predictors of one-year mortality following hip fracture among older adults, guided by a socio-ecological framework. MethodsWe searched PubMed, Embase, Web of Science, CINAHL, and Scopus for U.S.-based studies published between 2010 and 2025 reporting one-year mortality after hip fracture. Studies were included if they evaluated predictors of mortality across pre-injury, perioperative, or post-discharge phases. Data were extracted on study design, population characteristics, mortality outcomes, and risk factors. Predictors examined in [≥]3 studies were pooled using random-effects meta-analysis, and narrative synthesis was conducted for predictors with limited data. Methodological quality was assessed using the Joanna Briggs Institute checklist. ResultsTwenty-eight studies (n = 835,226) met inclusion criteria. Pooled one-year mortality was 21.8%, ranging from 7.1% to 54.4%. Advancing age and male sex were consistent non-modifiable risk factors. Comorbidity burden, including congestive heart failure, chronic kidney disease, myocardial infarction, and dementia, and measures of frailty and functional impairment were among the strongest predictors, often doubling mortality odds. Perioperative factors such as higher injury severity and delayed surgery, and post-discharge factors including hospital readmission, missed follow-up visits, and postoperative complications, were also associated with increased mortality. ConclusionOne-year hip fracture-related mortality remains high and stems from multifactorial causes. A multi-level, systems-oriented approach may be necessary to meaningfully reduce long-term mortality in this growing and vulnerable population.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 7%
20.3%
2
BMJ Open
554 papers in training set
Top 2%
8.8%
3
BMC Medicine
163 papers in training set
Top 0.2%
8.8%
4
BJGP Open
12 papers in training set
Top 0.1%
8.6%
5
Age and Ageing
27 papers in training set
Top 0.1%
6.7%
50% of probability mass above
6
Journal of the American Medical Directors Association
13 papers in training set
Top 0.1%
5.1%
7
Scientific Reports
3102 papers in training set
Top 21%
5.1%
8
The Journals of Gerontology: Series A
25 papers in training set
Top 0.3%
3.8%
9
JAMIA Open
37 papers in training set
Top 0.6%
2.6%
10
JMIR Medical Informatics
17 papers in training set
Top 0.5%
2.2%
11
Medicine
30 papers in training set
Top 0.9%
2.0%
12
Journal of the American Geriatrics Society
12 papers in training set
Top 0.1%
2.0%
13
Journal of the American Heart Association
119 papers in training set
Top 3%
1.8%
14
PLOS Medicine
98 papers in training set
Top 2%
1.7%
15
The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
22 papers in training set
Top 0.3%
1.0%
16
Canadian Medical Association Journal
15 papers in training set
Top 0.2%
1.0%
17
Environmental Research
46 papers in training set
Top 1%
0.8%
18
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.8%
19
Journal of Clinical Medicine
91 papers in training set
Top 6%
0.8%
20
Cureus
67 papers in training set
Top 5%
0.8%
21
Aging
69 papers in training set
Top 3%
0.7%
22
JAMA Network Open
127 papers in training set
Top 5%
0.7%
23
eLife
5422 papers in training set
Top 62%
0.5%