Healthcare resource utilization, costs and treatment patterns in patients with bipolar disorder treated with lurasidone or cariprazine

Real-world predictors of relapse in patients with schizophrenia and schizoaffective disorder in a large health system

Schizophrenia is often characterized by recurring relapses, which are associated with a substantial clinical and economic burden. Early identification of individuals at the highest risk for relapse in real-world treatment settings could help improve outcomes and reduce healthcare costs. Prior work has identified a few consistent predictors of relapse in schizophrenia, however, studies to date have been limited to insurance claims data or small patient populations. Thus, this study used a large sample of health systems electronic health record (EHR) data to analyze relationships between patient-level factors and relapse and model a set of factors that can be used to identify the increased prevalence of relapse, a severe and preventable reality of schizophrenia. This retrospective, observational cohort study utilized EHR data extracted from the largest Midwestern U.S. non-profit healthcare system to identify predictors of relapse. The study included patients with a diagnosis of schizophrenia (ICD-10 F20) or schizoaffective disorder (ICD-10 F25) who were treated within the system between October 15, 2016, and December 31, 2021, and received care for at least 12 months. A relapse episode was defined as an emergency room or inpatient encounter with a pre-determined behavioral health-related ICD code. Patients' baseline characteristics, comorbidities and healthcare utilization were described. Modified log-Poisson regression (i.e. log Poisson regression with a robust variance estimation) analyses were utilized to estimate the prevalence of relapse across patient characteristics, comorbidities and healthcare utilization and to ultimately identify an adjusted model predicting relapse. Among the 8119 unique patients included in the study, 2478 (30.52%) experienced relapse and 5641 (69.48%) experienced no relapse. Patients were primarily male (54.72%), White Non-Hispanic or Latino (54.23%), with Medicare insurance (51.40%), and had baseline diagnoses of substance use (19.24%), overweight/obesity/weight gain (13.06%), extrapyramidal symptoms (48.00%), lipid metabolism disorder (30.66%), hypertension (26.85%), and diabetes (19.08%). Many differences in patient characteristics, baseline comorbidities, and utilization were revealed between patients who relapsed and patients who did not relapse. Through model building, the final adjusted model with all significant predictors of relapse included the following variables: insurance, age, race/ethnicity, substance use diagnosis, extrapyramidal symptoms, number of emergency room encounters, behavioral health inpatient encounters, prior relapses episodes, and long-acting injectable prescriptions written. Prevention of relapse is a priority in schizophrenia care. Challenges related to historical health record data have limited the knowledge of real-world predictors of relapse. This study offers a set of variables that could conceivably be used to construct algorithms or models to proactively monitor demographic, comorbidity, medication, and healthcare utilization parameters which place patients at risk for relapse and to modify approaches to care to avoid future relapse.

Relationship between social determinants of health and hospitalizations and costs among patients with bipolar disorder 1

BACKGROUND

Bipolar disorder type 1 (BD-1) is a serious episodic mental illness whose severity can be impacted by social determinants of health (SDOH). To date the relationship of social and economic factors with health care utilization has not been formally analyzed using real-world data.

OBJECTIVE

To describe patient characteristics and assess the influence of SDOH on hospitalizations and costs in patients with BD-1 insured with commercial and managed Medicaid health plans.

METHODS

This retrospective observational study used data from the Medical Outcomes Research for Effectiveness and Economics (MORE2) Registry to identify patients aged 18 years and older with evidence of BD-1 between July 1, 2016, and December 31, 2018. SDOH were linked to patients at the "near neighborhood" level (based on ZIP9 area). Multivariable models assessed the relationship between patient characteristics and hospitalizations (incidence rate ratios [95% CI]) and costs (cost ratios [95% CI]).

RESULTS

Of 243,286 patients with BD-1, 62,148 were covered by commercial insurance and 181,138 by Medicaid. Mean ages [±SD] were similar (commercial 39.8 [±14.8]; Medicaid 40.1 [±13.6]), with more female patients in both cohorts (commercial 59.8%; Medicaid 65.4%). All-cause hospitalization rates were 21.6% for commercial and 35.1% for Medicaid patients; emergency department visits were 39.7% and 64.3%, respectively. All-cause costs were $15,379 [±$27,929] for commercial and $21,474 [±$37,600] for Medicaid. Older age was a significant predictor of fewer hospitalizations compared with those aged younger than 30 years, particularly ages 40-49 for both commercial (0.60 [0.57-0.64]) and Medicaid (0.82 [0.80-0.85]). Increasing age was associated with significantly higher costs, especially age 65 and older (commercial 1.37 [1.31-1.44]); (Medicaid 1.43 [1.38-1.49]). Initial treatment with antipsychotics plus antianxiety medications was a significant predictor of higher hospitalizations (commercial 2.12 [1.98-2.27]; Medicaid 1.62 [1.57-1.68]) and higher costs (commercial 1.86 [1.80-1.92]); Medicaid 1.80 [1.76-1.84]). Household income was inversely associated with hospitalizations for Medicaid (<$30,000 [1.16 (1.12-1.19)]; $30,000-$39,999 [1.11 (1.07-1.15)]; $40,000-$49,999 [1.08 (1.05-1.12)]; $50,000-$74,999 [1.06 (1.02-1.09)]). Not speaking English well or at all was associated with 90% higher hospitalizations for commercial patients (1.93 [1.36-2.76]) but 40% fewer hospitalizations for Medicaid patients (0.59 [0.53-0.67]). Low English language proficiency was associated with significantly higher costs for commercial patients (2.22 [1.86-2.64]) but lower costs for Medicaid patients (0.57 [0.53-0.61]).

CONCLUSIONS

Medicaid patients with BD-1 had high SDOH burden, hospitalizations, and costs. The association of lower English proficiency with fewer hospitalizations and lower costs in Medicaid patients suggests a potential disparity in access to care. These findings highlight the importance of addressing social risk factors to advance health equity in treatment of mental illness.

Development and validation of a stability-indicating high performance liquid chromatographic assay for determination of cariprazine in bulk form and in drug product

The aim of the present study is to develop a stability indicating high performance liquid chromatographic method for the determination of cariprazine in bulk substance and in drug product. The chromatographic separation was carried out using a Phenomenex Kinetex® C18 column (5μm, 250×4.6mm) and a mobile phase consisting of acetonitrile-potassium dihydrogen orthophosphate buffer (pH 4; 50mM) (30:70, v/v), at a flow rate of 1mlmin -1 and UV detection at 248nm. The column was maintained at 25°C and an injection volume of 20μL was used. Stress testing of cariprazine bulk substance and drug product was performed according to the International Conference on Harmonization (ICH) Q1A (R2) guideline. Various stress conditions were tested including acidic, alkaline and neutral hydrolysis, humidity, oxidation, dry heat and photolysis. A total of three degradation products (DPs) were formed. Among them two DPs were successfully characterized with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis.