ArticleClinical interventions in aging2024
Risk Factors Analysis and Nomogram Model Establishment of Hidden Blood Loss in Overweight and Obese Elderly Patients After Total Hip Arthroplasty.
Article in Clinical interventions in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 6 citations in OpenAlex.
- Association of bone mineral density with perioperative hidden blood loss in older adults undergoing intramedullary nailing for unstable intertrochanteric fractures.BMC geriatrics · 2026Article
- A cross-sectional study unveiling the global impact and future projections through 2060 of osteoarthritis.European journal of public health · 2026Article
- Risk factors analysis and the establishment of nomogram prediction model of hidden blood loss exceeding 800 mL after total hip arthroplasty.BMC musculoskeletal disorders · 2026Article
- Analysis of independent risk factors for high hidden blood loss following total knee arthroplasty.PloS one · 2026Article
- Efficacy and safety of tranexamic acid in reducing hidden blood loss during unilateral total knee arthroplasty: a retrospective study.Frontiers in medicine · 2025Article
- Hypertension and grading are important risk factors for occult blood loss in hip arthroplasty: a retrospective study analysis.Frontiers in surgery · 2025Article
- Construction of a Clinical Prediction Model for Complications After Femoral Head Replacement Surgery.Journal of clinical medicine research · 2024Article
- Intraoperative cell salvage reduces postoperative allogeneic blood transfusion and shortens off-bed time in simultaneous bilateral total hip arthroplasty: a single-center retrospective study.BMC musculoskeletal disorders · 2024Article
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5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Total hip arthroplasty (THA) has become the first-choice treatment for elderly patients with end-stage hip disease. The high amount of hidden blood loss (HBL) in overweight and obese patients after THA not only affects rapid recovery, but also results in a greater economic burden. We aimed to identify risk factors that contribute to elevated HBL in overweight and obese patients after THA by retrospective analysis, and establish a nomogram prediction model for massive HBL in overweight and obese patients after THA. Methods: A total of 505 overweight and obese patients treated with THA were included and randomly divided into modeling and validation sets according to a 7:3 ratio. The demographic and relevant clinical data of the patients were collected. The independent risk factors affecting HBL after THA in overweight and obese patients were obtained by Pearson, independent sample Results: HBL was 911±438 mL, accounting for 79.5±13.1% of the total perioperative blood loss (1104±468 mL). A multiple linear regression analysis showed that HBL was associated with necrosis of the femoral head, absence of hypertension, longer operative time, higher preoperative erythrocytes, and higher preoperative D-dimer levels. The areas under the ROC curve (AUC) for the modeling and validation sets were 0.751 and 0.736, respectively, while the slope of the calibration curve was close to 1. The DCA curve demonstrated a better net benefit at a risk of HBL ≥1000 ml in both the training and validation groups. Conclusion: HBL was an important component of total blood loss (TBL) after THA in overweight and obese patients. Necrosis of the femoral head, absence of hypertension, longer operative time, higher preoperative erythrocytes, and higher preoperative D-dimer levels were independent risk factors for postoperative HBL in these patients. The predictive model constructed based these data had better discriminatory power and accuracy, and could result in better net benefit for patients.
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