An observational analysis of disease burden in patients with cold agglutinin disease: Results from a large US electronic health record database

Cost-effectiveness of sutimlimab in cold agglutinin disease

Primary cold agglutinin disease (CAD) is a rare autoimmune hemolytic anemia caused by cold-reactive antibodies that bind to red blood cells and lead to complement-mediated hemolysis. Patients with primary CAD experience the burden of increased health resource utilization and reduced quality of life. The standard-of-care (SOC) in patients with primary CAD has included cold avoidance, transfusion support, and chemoimmunotherapy. The use of sutimlimab, a humanized monoclonal antibody that selectively inhibits C1-mediated hemolysis, was shown to reduce transfusion-dependence and improve quality of life across two pivotal phase 3 studies, further supported by 2-year extension data. Using data from the transfusion-dependent patient population that led to sutimlimab's initial FDA approval, we performed the first-ever cost-effectiveness analysis in primary CAD. The projected incremental cost-effectiveness ratio (ICER) in our Markov model was $2 340 000/QALY, significantly above an upper-end conventional US willingness-to-pay threshold of $150 000/QALY. These results are consistent across scenarios of higher body weight and a pan-refractory SOC patient phenotype (i.e., treated sequentially with bendamustine-rituximab, bortezomib, ibrutinib, and eculizumab). No parameter variations in deterministic sensitivity analyses changed our conclusion. In probabilistic sensitivity analysis, SOC was favored over sutimlimab in 100% of 10 000 iterations. Exploratory threshold analyses showed that significant price reduction (>80%) or time-limited treatment (<18 months) followed by lifelong clinical remission off sutimlimab would allow sutimlimab to become cost-effective. The impact of sutimlimab on health system costs with longer term follow-up data merits future study and consideration through a distributional cost-effectiveness framework.

Clinical value of combined predictors of RET%, γ-GT, LDH in the ABO neonatal hemolytic disease

Objective

The purpose of this study is to examine the prognostic significance of the amalgamated indicators, reticulocyte percentage (RET%), lactate dehydrogenase (LDH), and γ-Glutamyltransferase (γ-GT), in neonatal ABO hemolytic disease.

Methods

A total of 137 hospitalized children with pathological jaundice were included. Based on their medical conditions, they were categorized into two groups, hemolytic (67 cases) and non-hemolytic (70 cases). Pearson linear correlation and binary logistic multivariate analysis were used to analyze LDH, γ-GT, RET% and hemolysis. Furthermore, the predictive value of the combined predictors of RET%, LDH, and γ-GT on ABO neonatal hemolytic disease was evaluated using the ROC curve analysis.

Results

The laboratory indexes of the two groups were subject to analysis using binary logistic regression to identify suspicious influencing factors. The study revealed that RET%, LDH, and γ-GT were independent risk factors for hemolysis. Pearson linear correlation analysis indicated a positive correlation between LDH and γ-GT with RET% (r = 0.529, P < 0.01; r = 0.526, P = <0.01, respectively). Furthermore, the predictive value of each combined predictor was obtained using the ROC curve, and it was observed that combined predictor L (RET% + LDH + γ-GT)>L1 (RET% + LDH)>L2 (RET% + γ-GT).

Conclusion

Combined predictor L (RET% + LDH + γ-GT)demonstrate its optimal diagnostic efficacy, offering a novel approach towards diagnosing early-onset ABO hemolytic disease of the newborn.

Clinical and laboratory characteristics of patients with cold agglutinin disease: A retrospective analysis at a tertiary medical center

BACKGROUND

Cold agglutinin disease (CAD) is relatively rare and has primarily been reported as retrospective case series.

AIM

We reviewed our experience with CAD to shed light on this disease.

STUDY SETTINGS AND DESIGN

This was a retrospective review of all patients with CAD managed at our institution between 2007 and 2018.

MATERIALS AND METHODS

The study was approved by our institutional review board. We extracted patients' demographic, clinical, and laboratory data, blood transfusions, and outcomes from their electronic medical records.

STATISTICAL ANALYSIS USED

Statistical analysis was performed using SPSS version 17. The method of Kaplan-Meier was used to plot survival curves.

RESULTS

Forty-eight patients fulfilled the inclusion criteria for CAD. The median age of patients was 73.1 (range, 43-99) years; 36 (75%) were female. The majority (n = 38; 79.2%) of patients were Caucasians. Most patients (n = 25, 52.1%) presented with symptomatic anemia. Eight patients were asymptomatic. The median hemoglobin level was 8.6 g/dL (range, 3-12 g/dL); 7 (14.6%) patients had concurrent thrombocytopenia. Lactate dehydrogenase was elevated in 40/47 (85.1%) patients and haptoglobin was below normal in 35/46 (76.1%) patients. Coagulopathy was observed in 19 (52.8%) of 36 patients. Sixteen (33.3%) patients required blood transfusion during admission at the time of diagnosis with a median number of 3.5 red blood cell units. Twenty-five (52.1%) patients were alive after a median follow-up of 50.1 months. The 5-year and 10-year survival was estimated at 58.2% and 30.8%, respectively.

CONCLUSION

CAD poses considerable burden on patients and health-care systems. Patients vary widely in their disease severity and course.