Trial reportJournal of orthopaedic surgery and research2023
Risk factors for perioperative acute heart failure in older hip fracture patients and establishment of a nomogram predictive model.
Trial report in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Effect of unaccompanied care model in postoperative care for elderly patients with lower limb fractures: factors influencing postoperative heart failure.American journal of translational research · 2026Article
- A nomogram prediction model for perioperative heart failure in elderly patients with intertrochanteric femoral fracture based on lasso-logistic regression.Frontiers in cardiovascular medicine · 2026Article
- Perioperative complications and postoperative outcome of primary total knee arthroplasty in octogenarians - A systematic review.Journal of orthopaedics · 2025Review
- Elucidating predictors of preoperative acute heart failure in older people with hip fractures through machine learning and SHAP analysis: a retrospective cohort study.BMC geriatrics · 2025Article
- Risk Factors for Acute Heart Failure in Older Adults with Hip Fractures After Surgery and Construction of a Nomogram Predictive Model.Clinical interventions in aging · 2025Article
- Impact of Chronic Obstructive Pulmonary Disease on Mortality Rates After Hip Pertrochanteric Fracture: A Nationwide Population-Based Cohort Study.International journal of chronic obstructive pulmonary disease · 2025Article
- [Construction and validation of a nomogram for predicting in-hospital postoperative heart failure in elderly patients with hip fracture].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024Article
- Risk Factors of Postoperative Acute Heart Failure in Elderly Patients After Hip Fracture Surgery.Cureus · 2024Article
- Characteristics of Postoperative Heart Failure in Older Hip Fractures Patients Combined with Coronary Heart Disease and Construction of a Prediction Model of Nomogram, a Retrospective Cohort Study.Clinical interventions in aging · 2024Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis study aims to explore the risk factors for perioperative acute heart failure in older patients with hip fracture and establish a nomogram prediction model.
methodsThe present study was a retrospective study. From January 2020 to December 2021, patients who underwent surgical treatment for hip fracture at the Third Hospital of Hebei Medical University were included. Heart failure was confirmed by discharge diagnosis or medical records. The samples were randomly divided into modeling and validation cohorts in a ratio of 7:3. Relevant demographic and clinic data of patients were collected. IBM SPSS Statistics 26.0 performed univariate and multivariate logistic regression analysis, to obtain the risk factors of acute heart failure. The R software was used to construct the nomogram prediction model.
resultsA total of 751 older patients with hip fracture were enrolled in this study, of which 138 patients (18.37%, 138/751) developed acute heart failure. Heart failure was confirmed by discharge diagnosis or medical records. Respiratory disease (odd ratio 7.68; 95% confidence interval 3.82-15.43; value of P 0.001), history of heart disease (chronic heart failure excluded) (odd ratio 2.21, 95% confidence interval 1.18-4.12; value of P 0.010), ASA ≥ 3 (odd ratio 14.46, 95% confidence interval 7.78-26.87; value of P 0.001), and preoperative waiting time ≤ 2 days (odd ratio 3.32, 95% confidence interval 1.33-8.30; value of P 0.010) were independent risk factors of perioperative acute heart failure in older patients with hip fracture. The area under the curve (AUC) of the prediction model based on these factors was calculated to be 0.877 (95% confidence interval 0.836-0.918). The sensitivity and specificity were 82.8% and 80.9%, respectively, and the fitting degree of the model was good. In the internal validation group, the AUC was 0.910, and the 95% confidence interval was 0.869-0.950.
conclusionsSeveral risk factors are identified for acute heart failure in older patients, based on which pragmatic nomogram prediction model is developed, facilitating detection of patients at risk early.
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