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Meta-Analysis
. 2024 Jan-Dec:30:10760296241285565.
doi: 10.1177/10760296241285565.

Risk Prediction Models for Preoperative Deep Vein Thrombosis in Older Patients with Hip Fracture: A Systematic Review and Meta-Analysis

Huali Guo  1 , Kuankuan Xu  2 , Fangfang Deng  1 , Qingqing Chen  1 , Jie Liang  1 , Kun Zhang  1
Affiliations
Meta-Analysis

Risk Prediction Models for Preoperative Deep Vein Thrombosis in Older Patients with Hip Fracture: A Systematic Review and Meta-Analysis

Huali Guo et al. Clin Appl Thromb Hemost. 2024 Jan-Dec.

Abstract

Objective: To systematically assess the risk prediction models for preoperative deep vein thrombosis in older patients with hip fractures.

Method: We searched four databases for literature through November 17, 2023. We included patients aged ≥60 with hip fractures and considered English-language case-control or cohort studies that focused on developing and/or validating risk prediction models for DVT in this population. Excluded were studies that solely analyzed risk factors without constructing a prediction model, had fewer than 2 predictive variables, or were not available in full-text or were duplicate publications. The Predictive Model Bias Risk Assessment tool was utilized to evaluate risk of bias. The area under the curve (AUC) values were meta-analyzed using R Studio software. The I2 index and Cochrane q test were employed to assess heterogeneity. Additionally, sensitivity analysis was performed by systematically removing individual studies to explore the sources of heterogeneity.

Results: A total of 1880 studies were gathered. Out of these, seven studies were included, encompassing 8 models. The most commonly utilized factors in the models were D-dimer and the time from injury to admission. The pooled AUC value for the validation of 8 models was 0.84 (95% confidence interval: 0.80-0.87), indicating robust model performance.

Conclusion: Current risk prediction models for preoperative DVT in elderly hip fracture patients are still in the developmental phase. Future research should focus on developing new models with larger sample sizes, robust study designs, and multicenter external validation.

Keywords: deep vein thrombosis; hip fracture; model; prediction; systematic review.

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Conflict of interest statement

Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Preferred reporting items for systematic reviews and meta-analyses (PRISMIA) flowchart of literature search and selection.
Figure 2.
Figure 2.
Forest plot for random-effects meta-analysis of AUC values of 8 models.
Figure 3.
Figure 3.
The subgroup analysis of the C-statistic for the risk prediction model of preoperative deep vein thrombosis in elderly patients with hip fractures.
Figure 4.
Figure 4.
Sensitivity analysis.
See this image and copyright information in PMC

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