Bone Density May Be a Promising Predictor for Blood Loss during Total Hip Arthroplasty

The efficacy of tranexamic acid in perioperative bleeding following total hip arthroplasty through different surgical approaches: Systematic review and meta-analysis

Introduction

Tranexamic acid (TXA) has been documented to reduce perioperative blood loss following orthopedic surgeries, such as total hip arthroplasty (THA). Previous studies focused on the best applicable dose and administration method to minimize blood loss. Although the surgical approach is another factor that may influence perioperative bleeding, no previous research has examined its concurrent impact alongside TXA. This meta-analysis investigated the effect of intravenous TXA on perioperative bleeding in primary THA, focusing on the surgical approach used.

Method

The authors searched PubMed, Web of Science, Scopus, Embase, and the Cochrane Library through November 2022. Fourteen studies, comprising 1358 patients, were identified as suitable for inclusion in this meta-analysis. To assess perioperative bleeding, hemoglobin (Hb) decline, transfused blood products, total blood loss (TBL), and intraoperative blood loss (IOBL) were recorded.

Results

The study showed that the lateral approach (LA) maintains the postoperative Hb level more effectively (WMD = 1.081, 95 % CI: 0.620-1.541). Significantly less IOBL was observed with the posterolateral approach (PLA; WMD = -70.578, 95 % CI: [-130.389] - [-10.766]). The posterior approach (PA) was associated with a reduction in TBL (WMD = -392, 95 % CI: [-474.439] - [-310.231], P-value <0.0001).

Conclusion

The surgical approach plays a significant role in blood management during surgery. Overall, the PLA resulted in the least IOBL, while the LA was associated with the least blood transfusion and a decline in Hb level. Additionally, the PA was linked to the lowest TBL.

Total Hip Arthroplasty in Patients with Hip Osteoporosis: A Narrative Review

Osteoporosis and osteopenia can affect patients undergoing arthroplasty of the hip, which is typically recommended for patients with severe osteoarthritis or elderly patients with a femoral neck fracture. Preoperative screening for this type of bone loss could be helpful to patients and prevent poor outcomes due to the rate of underdiagnosis of osteoporosis, which can reach 73% in patients undergoing hip arthroplasty. Complications associated with low bone mineral density include periprosthetic fractures as well as an increased revision rate. Although the benefit of antiresorptive medications postoperatively has been demonstrated, when administered preoperatively, worse outcomes were reported compared to its non-usage. Surgical management is as important as pre-medication. According to general recommendations, cemented implants provide greater benefit in osteoporotic patients. However, when using cementless implants, ribbed stems, straight tapered stems, stems with medial calcar contact, and titanium-composed stems can be used to prevent periprosthetic loss of bone mineral density; however, they should not be placed in a varus position. These stems can also be coated with zoledronate and other products.

Establishment and validation of a nomogram to predict postoperative anemia after total hip arthroplasty

BACKGROUND

Anemia is a common complication of total hip arthroplasty (THA). In this study, we evaluated the preoperative risk factors for postoperative anemia after THA and developed a nomogram model based on related preoperative and intraoperative factors.

METHODS

From January 2020 to May 2023, 927 THA patients at the same medical center were randomly assigned to either the training or validation cohort. The correlation between preoperative and intraoperative risk factors and postoperative anemia after THA was evaluated using univariate and multivariate logistic regression analysis. A nomogram was developed using these predictive variables. The effectiveness and validation for the clinical application of this nomogram were evaluated using the concordance index (C-index), receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).

RESULTS

Through univariate and multivariate logistic regression analysis, 7 independent predictive factors were identified in the training cohort: Lower body mass index (BMI), extended operation time, greater intraoperative bleeding, lower preoperative hemoglobin level, abnormally high preoperative serum amyloid A (SAA) level, history of cerebrovascular disease, and history of osteoporosis. The C-index of the model was 0.871, while the AUC indices for the training and validation cohorts were 84.4% and 87.1%, respectively. In addition, the calibration curves of both cohorts showed excellent consistency between the observed and predicted probabilities. The DCA curves of the training and validation cohorts were high, indicating the high clinical applicability of the model.

CONCLUSIONS

Lower BMI, extended operation time, increased intraoperative bleeding, reduced preoperative hemoglobin level, elevated preoperative SAA level, history of cerebrovascular disease, and history of osteoporosis were seven independent preoperative risk factors associated with postoperative anemia after THA. The nomogram developed could aid in predicting postoperative anemia, facilitating advanced preparation, and enhancing blood management. Furthermore, the nomogram could assist clinicians in identifying patients most at risk for postoperative anemia.