Effect of a Patient Blood Management Program on the Appropriateness of Red Blood Cell Transfusion and Clinical Outcomes in Elderly Patients Undergoing Hip Fracture Surgery

Association between Adherence to Patient Blood Management Recommendations and Postoperative Complications in Hip and Knee Arthroplasty

BACKGROUND

Patient blood management (PBM) is a set of evidence-based practices that reduces the need for blood transfusions. However, its impact on relevant clinical outcomes remains unclear. The authors evaluated the association between adherence to guideline-recommended PBM care and 30-day postoperative complications in patients undergoing primary total knee and hip arthroplasty. Secondary outcomes included the length of hospital stay and erythrocyte utilization.

METHODS

This was a retrospective, multicenter cohort study including patients from 43 hospitals. The PBM clinical pathway comprised nine major guideline-recommended interventions, and adherence was assessed using a composite quality indicator. Multilevel multivariable regression models were used to evaluate the associations between PBM adherence and outcomes at the patient level while accounting for hospital characteristics and hospital variation.

RESULTS

A total of 30,926 patients who underwent primary total knee or hip arthroplasty between 2016 and 2022 at 43 hospitals were included. Of these, 1,335 (4.3%) had 30-day postoperative complications. The median adherence to the PBM clinical pathway was 60.0%. Higher PBM adherence was associated with fewer 30-day postoperative complications (adjusted odds ratio, 0.43; 95% CI, 0.32 to 0.58; P < 0.001), including 65% lower odds of major adverse cardiac events and 45% lower odds of infection. Additionally, higher adherence was associated with shorter hospital stays (adjusted incidence rate ratio, 0.77; 95% CI, 0.76 to 0.79; P < 0.001) and reduced transfusion rates (adjusted odds ratio, 0.11; 95% CI, 0.09 to 0.14; P < 0.001). Sensitivity analyses confirmed these associations.

CONCLUSIONS

Adherence to the PBM clinical pathway was associated with improved outcomes. While causality cannot be established, these findings support the potential effectiveness of PBM in reducing postoperative complications and its efficiency in shortening hospital stays, beyond minimizing blood transfusions, in patients undergoing knee and hip arthroplasty.

Whole Span Plating Prevents Subsequent Ipsilateral Femoral Fractures After Peri-Implant Fixation: A Preliminary Report

Background: Peri-implant femoral fractures are increasingly prevalent among the elderly, often leading to re-fractures due to osteoporosis and implant stress. Whole span plating (WSP) has been proposed as a surgical approach to mitigate this risk. Methods: A retrospective study was conducted on 10 patients (mean age: 79.5 years) who underwent WSP for peri-implant femoral fractures between April 2020 and March 2023. Fractures were classified using the Vancouver, NPPIF, and Lewis and Rorabeck systems. Surgical indication required meeting at least two of the following criteria: age ≥ 70 years, history of fragility fracture(s), high fall risk, severe osteoporosis, extensive fracture pattern, or no implant loosening. Results: No re-fractures were observed during a mean follow-up period of 14.5 months. Although 90% of patients required red blood cell transfusions (mean volume: 3.8 units), early weight-bearing was achieved in most cases. Four patients had received osteoporosis treatment, highlighting the need for integrated bone health management. Conclusions: WSP appears to be a feasible and safe surgical option for high-risk patients with peri-implant femoral fractures, potentially reducing the incidence of subsequent fractures. Further studies with larger cohorts and longer follow-up are warranted.

Risk factors and characteristics of preoperative heart failure in elderly patients with hip fracture and the influence of anemia on prognosis

BACKGROUND

Patients with preoperative acute heart failure (AHF) after hip fracture in the elderly have a worse prognosis. We aim to investigate the characteristics, risk factors and postoperative complications of elderly patients with hip fracture complicated with preoperative AHF. We also looked at the effect of the severity of anemia at admission on the prognosis of the above people.

METHODS

A retrospective study of hip fracture patients (aged ≥ 65) admitted to the Department of Geriatric Orthopaedics, Third Hospital, Hebei Medical University, was conducted from January 2018 to October 2020. We used univariate and multivariate logistic regression to assess risk factors for preoperative AHF. The Kaplan-Meier survival curve shows the relationship between the severity of anemia on admission and all-cause mortality in elderly hip fracture patients with preoperative AHF.

RESULTS

Out of the 1092 patients, 503 had preoperative AHF and the incidence of it in hip fracture patients was 46.1%. Age, coronary artery disease, chronic atrial fibrillation, Age-Adjusted Charlson Comorbidity Index (ACCI), admission anemia, admission albumin < 40 g/dl, and admission C-reactive protein (CRP) were all significantly different between those with AHF and those without. Multivariate logistic regression analysis revealed that age ≥ 80 years (OR 1.740, 95% CI 1.309-2.313), coronary artery disease (OR 1.417, 95% CI 1.017-1.975), chronic atrial fibrillation (OR 4.010, 95% CI 1.757-9.152), admission anemia (OR 1.433, 95% CI 1.051-1.953) are the independent risk factors for preoperative AHF in elderly patients with hip fracture (p < 0.05). The HF group exhibited a higher incidence of postoperative complications, such as anemia, arrhythmia, NOAF (new-onset atrial fibrillation), AIS (acute ischemic stroke), electrolyte disturbance and hypoproteinemia. The moderate-to-severe anemia group had a higher incidence of postoperative complications, including deep vein thrombosis of the lower limbs, NOAF, and hypoproteinemia, as well as all-cause mortality.

CONCLUSION

Older patients combined with admission anemia, coronary artery disease, chronic atrial fibrillation are more likely to have preoperative AHF after hip fracture. For such patients, early and effective identification and strengthening perioperative management can avoid the occurrence of adverse events. For patients with moderate and severe anemia at admission, timely intervention is recommended to reduce postoperative complications and mortality.

Development and validation of machine learning models to predict perioperative transfusion risk for hip fractures in the elderly

BACKGROUND

Patients with hip fractures frequently need to receive perioperative transfusions of concentrated red blood cells due to preoperative anemia or surgical blood loss. However, the use of perioperative blood products increases the risk of adverse events, and the shortage of blood products is prompting us to minimize blood transfusion. Our study aimed to construct a machine learning algorithm predictive model to identify patients at high risk for perioperative transfusion early in hospital admission and to manage their patient blood to reduce transfusion requirements.

METHODS

This study collected patients hospitalized for hip fractures at a university hospital from May 2016 to November 2022. All patients included in the analysis were randomly divided into a training set and validation set according to 70:30. Eight machine learning algorithms, CART, GBM, KNN, LR, NNet, RF, SVM, and XGBoost, were used to construct the prediction models. The models were evaluated for discrimination, calibration, and clinical utility, and the best prediction model was selected.

RESULTS

A total of 805 patients were included in the study, of whom 306 received transfusions during the perioperative period. We screened eight features used to construct the prediction model: age, fracture time, fracture type, hemoglobin, albumin, creatinine, calcium ion, and activated partial thromboplastin time. After evaluating and comparing the performance of each of the eight models, the model constructed by the XGBoost algorithm had the best performance, with MCC values of 0.828 and 0.939 in the training and validation sets, respectively. In addition, it had good calibration and clinical utility in both the training and validation sets.

CONCLUSION

The model constructed by the XGBoost algorithm has the best performance, using this model to identify patients at high risk for transfusion early in their admission and promptly incorporating them into a patient blood management plan can help reduce the risk of transfusion.

Development and validation of models for predicting mortality in intertrochanteric fracture surgery patients with perioperative blood transfusion: a prospective multicenter cohort study

BACKGROUND

The association between allogenic blood transfusions and all-cause mortality in surgically treated hip fracture patients with perioperative transfusion (STHFPT) remained unknown. The authors aim to introduce transfusion-related factors, new variables to develop, and validate models to predict mortality in these patients.

METHODS

A prospective multicenter cohort study was conducted with STHFPT hospitalized during January 2018 and June 2021. The database was divided into training cohort and validation cohort in a ratio of 70-30% using the randomization method. All participants received a minimum of 2-year follow-up and all participants' overall and eight time-specific survival status were recorded. Prediction models were developed using multivariate logistic regression and Cox regression for variable selection. Model performance was measured by determining discrimination, calibration, overall model performance or precision, and utility. Sensitivity analyses were performed to test robustness of the results.

RESULTS

A total of 7074 consecutive patients were prospectively screened and assessed for eligibility to participate. Finally, 2490 patients met our inclusion and exclusion criteria and 1743 (70%) patients were randomized to the training cohort and 747 (30%) to the validation cohort. The median duration of follow-up was 38.4 months (IQR 28.0-62.0). Our novel models highlight that preoperative transfusion is of significance for short-term mortality while mid-term outcomes are predominantly determined by severe complications, pulmonary complications, and advanced age. Our models showed high discriminative power, good calibration, and precision for mortality prediction in both training and validation cohorts, especially in short-term mortality prediction.

CONCLUSIONS

The authors introduce transfusion-related factors, new variables to develop, and validate models to predict mortality with STHFPT. The models can be further tested and updated with the ultimate goal of assisting in optimizing individual transfusion strategy.

Age and sex differences in blood product transfusions and mortality in trauma patients at a level I trauma center

Objectives

Hemorrhage is a common complication of trauma. We evaluated age and sex differences in treatment with blood product transfusions and massive transfusions as well as in-hospital mortality following trauma at a Level 1 Trauma Center.

Methods

This cross-sectional study evaluated trauma data from a Level 1 trauma center registry from January 2013 to December 2017. The primary outcome was amount of blood products (packed red blood cells (PRBCs), plasma, platelets), and massive transfusion (MT) by biological sex and by age group: 16-24 (youth), 25-59 (middle age), and >=60 (older age) The secondary outcome was in-hospital mortality to hospital discharge.

Results

There were 13596 trauma patients in the registry, mean age was 48 years, 4589 (34%) female and 9007 (66%) male, and median ISS of 9. Male patients received significantly more PRBC transfusions than female patients within 4-hours 6.6% vs 4.4%, and 24-hours 6.7% vs 4.5% respectively. Older patients received significantly fewer PRBC transfusions within 4-hours and 24-hours than their younger counterparts, with 6.9% in the youth group, 6.8% in the middle age group, and 3.9% in the older group (p<0.001). When adjusted for injury severity, the odds of receiving a blood transfusion within 4 hours of injury was significantly lower in older females. Using multivariate analysis, predictors of mortality included (in order of significance) injury severity, older age, transfusion within 4 hours of injury, penetrating trauma, and male sex.

Conclusion

In this large trauma cohort, older female trauma patients were less likely to receive blood products compared to younger females and to their older male counterparts, even after adjusting for injury severity. Predictors of mortality included injury severity, older age, early transfusion, penetrating trauma, and male sex. Following trauma, older women appear vulnerable to undertreatment. Further study is needed to determine the reasons for these differences and their impact on patient outcomes.