Independent Risk Factors for Transfusion in Contemporary Revision Total Hip Arthroplasty

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.

Validation of Machine Learning Model Performance in Predicting Blood Transfusion After Primary and Revision Total Hip Arthroplasty

BACKGROUND

The rates of blood transfusion following primary and revision total hip arthroplasty (THA) remain as high as 9% and 18%, respectively, contributing to patient morbidity and healthcare costs. Existing predictive tools are limited to specific populations, thereby diminishing their clinical applicability. This study aimed to externally validate our previous institutionally developed machine learning (ML) algorithms to predict the risk of postoperative blood transfusion following primary and revision THA using national inpatient data.

METHODS

Five ML algorithms were trained and validated using data from 101,266 primary THA and 8,594 revision THA patients from a large national database to predict postoperative transfusion risk after primary and revision THA. Models were assessed and compared based on discrimination, calibration, and decision curve analysis.

RESULTS

The most important predictors of transfusion following primary and revision THA were preoperative hematocrit (<39.4%) and operation time (>157 minutes), respectively. All ML models demonstrated excellent discrimination (area under the curve (AUC) >0.8) in primary and revision THA patients, with artificial neural network (AUC = 0.84, slope = 1.11, intercept = -0.04, Brier score = 0.04), and elastic-net-penalized logistic regression (AUC = 0.85, slope = 1.08, intercept = -0.01, and Brier score = 0.12) performing best, respectively. On decision curve analysis, all 5 models demonstrated a higher net benefit than the conventional strategy of intervening for all or no patients in both patient cohorts.

CONCLUSIONS

This study successfully validated our previous institutionally developed ML algorithms for the prediction of blood transfusion following primary and revision THA. Our findings highlight the potential generalizability of predictive ML tools developed using nationally representative data in THA patients.

Predictors of Blood Transfusion in Patients Undergoing Lumbar Spinal Fusion

OBJECTIVE

To determine risk factors for perioperative blood transfusion after lumbar fusion surgery.

METHODS

After institutional review board approval, a retrospective cohort study of adult patients who underwent lumbar fusion at a single, urban tertiary academic center was retrospectively retrieved. Our primary outcome, blood transfusion, was collected via chart query. A receiver operating characteristic curve was used to evaluate the regression model. A P-value < 0.05 was considered statistically significant.

RESULTS

Of the 3,842 patients, 282 (7.3%) required a blood transfusion. For patients undergoing posterolateral decompression and fusion, predictors of transfusion included age (P < 0.001) and more levels fused (P < 0.001). A higher preoperative hemoglobin level (P < 0.001) and revision surgery (P = 0.005) were protective of blood transfusion. For patients undergoing transforaminal lumbar interbody fusion, greater Elixhauser comorbidity index (P < 0.001), longer operative time (P = 0.040), and more levels fused (P = 0.030) were independent predictors of the need for blood transfusion. Patients with a higher body mass index (P = 0.012) and preoperative hemoglobin level (P < 0.001) had a reduced likelihood of receiving a transfusion. For circumferential fusion, greater age (P = 0.006) and longer operative times (P = 0.015) were independent predictors of blood transfusion, while a higher preoperative hemoglobin level (P < 0.001) and male sex (P = 0.002) were protective.

CONCLUSIONS

Our analysis identified older age, lower body mass index, greater Elixhauser comorbidity index, longer operative duration, more levels fused, and lower preoperative hemoglobin levels as independent predictors of requiring a blood transfusion following lumbar spinal fusion. Different surgical approaches were not found to be associated with transfusion.

Closed Suction Drainage May Not be Beneficial in Revision Total Hip Arthroplasty: A Propensity Score-Matched Cohort Study

Background

Many studies on closed suction drainage (CSD) in primary total hip arthroplasty (THA) have demonstrated that it has no definite benefit. However, evidence of the clinical benefits of CSD in revision THA has not yet been established. Therefore, this retrospective study aimed to investigate the benefits of CSD in revision THA.

Materials and Methods

We reviewed 107 hips of patients who underwent revision THA between June 2014 and May 2022, excluding cases of fracture and infection. We compared perioperative blood test results, calculated total blood loss (TBL), and postoperative complications, including allogenic blood transfusion (ABT), wound complications, and deep venous thrombosis (DVT), between the groups with and without CSD. Propensity score matching was conducted to balance patients' demographics and surgical factors.

Results

ABT, wound complications, and DVT were observed in 10.3% (n = 11), 5.6% (six), and 5.6% (six) of patients, respectively. There were no significant differences in ABT, calculated TBL, wound complications, and DVT between all patients and propensity score-matched patients with or without CSD. The calculated TBL was approximately 1200 mL and showed no significant difference between the two groups in the matched cohort (p = 0.40) but tended to have a greater volume in the drain group than in the non-drain group.

Conclusion

The routine use of CSD in revision THA for aseptic loosening may not be useful in clinical practice.

[Patient optimization before hip revision arthroplasty: : How to handle comorbidities]

Preoperative optimization of the therapeutic regime of comorbidities can lead to an improvement of the postoperative outcome and has the potential to reduce the financial burden on the health care system in revision hip arthroplasty. Patient-related factors and an increasing incidence of comorbidities lead to a higher risk of implant failure and revision for all causes. Important and potentially modifiable risk factors like preoperative anemia, coagulopathy, infectious disease (dental status, urinary tract infections, colonization with staphylococcus), metabolic conditions (obesity, malnutrition, diabetes mellitus, osteoporosis), and smoking need to be addressed. To achieve an optimal preoperative condition a multidisciplinary approach should be applied.

Risk factors analysis and nomogram construction for blood transfusion in elderly patients with femoral neck fractures undergoing hemiarthroplasty

INTRODUCTION

Elderly patients with femoral neck fractures (FNFs) undergoing hemiarthroplasty usually have poor physical condition. The main aim of this study was to identify risk factors for blood transfusion in these patients and construct a nomogram to intuitively predict the requirement of transfusion. The secondary purpose was to examine the relationship between blood transfusion and complications within 30 days post-operatively. Our hypothesis was that chronic kidney disease (CKD) and hypoalbuminemia may increase the requirement of transfusion.

METHODS

Data of 414 elderly patients undergoing hemiarthroplasty for FNFs were retrospectively collected. Univariate and multiple regression analysis were performed to identify independent risk factors for blood transfusion, which were used to construct a nomogram subsequently. The discrimination and calibration of the nomogram model were assessed with concordance index (C-index), the area under receiver operating characteristic curve (AUC), and calibration curve. Furthermore, the complications of blood transfusion within 30 days post-operatively were also analyzed.

RESULTS

Out of 414 patients, 127 (30.7%) received a blood transfusion. Independent risk factors for blood transfusion included CKD, hypoalbuminemia, pre-operative anaemia, general anaesthesia, higher American Society of Anesthesiologists score, more intraoperative blood loss, and longer surgical time. Increased hidden blood loss, deep vein thrombosis, superficial wound infection, and prolonged hospital stays were more common in transfused patients. The C-index of the nomogram model was 0.848 (95% CI = 0.811-0.885), and the AUC value was 0.859. The calibration curve showed a good consistency between the actual transfusion and the predicted probability.

DISCUSSION

We observed a transfusion rate of 30.7% in elderly FNF patients undergoing hemiarthroplasty. CKD and hypoalbuminemia were firstly identified as independent risk for blood transfusion. In addition, blood transfusion can increase the occurrence of early post-operative complications.

CONCLUSION

Targeted pre-operative intervention, such as optimizing CKD and correcting hypoalbuminemia is essential and highly regarded.