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Objective To evaluate differences in patient characteristics and real-world outcomes in two distinct high-risk cohorts of patients with serious mental illness (SMI). Methods Retrospective cross-sectional analysis using a national multi-payer claims database. Two SMI cohorts identified by a technical expert panel-patients recently discharged (RD) from an SMI-related hospitalization and early episode (EE) patients-were evaluated for antipsychotic medication adherence, healthcare utilization, and spending patterns. Results The analysis included 51,705 patients with bipolar disorder, major depressive disorder, and schizophrenia. More than half were over age 46 and >60% were female. Adherence to psychiatric medications was low (52.5% RD and 16.1% EE). More than half of RD and 100% of EE patients switched medications at least once annually, but 19% of RD patients switched ≥2 times compared to 14% of EE. The RD cohort (generally older and sicker) had higher psychiatric related utilization and higher annual costs (US$21,171 versus US$15,398). In both cohorts, women were more likely to have an emergency department (ED) and primary care provider (PCP) visit, but less likely to be hospitalized. Patients age less then 46 were less likely to have a PCP visit and more likely to have an ED visit, but younger patients age 18-24 were less likely to be hospitalized. Conclusion Efforts to manage SMI are confounded by heterogeneity and low adherence to treatment. By better understanding which patients are at higher risk for specific adverse outcomes, clinicians can target interventions more appropriately to reduce the significant burden of SMI. © 2020 Forma et al.Background Breast cancer is highly prevalent worldwide and leads to high health-care costs. HER2-positive subtype represents 30% of all breast cancers and is associated with a poor prognosis. Patients treated with anti-HER2 therapies frequently develop resistance and require pharmacological treatment change. Liquid biopsy is a minimally invasive and an easily accessible technique, with high sensitivity and specificity, to detect molecular treatment resistance even before the onset of clinical manifestations and can thus be used to reduce unnecessary anti-HER2 treatment costs. Objective To evaluate the cost-effectiveness of using liquid biopsy (ctDNA detection) to determine treatment change in women with HER2-positive advanced breast cancer in Colombia. Methodology We performed an economic evaluation using decision tree modeling and deterministic analyses based on literature search for first and second lines of treatment (trastuzumab, pertuzumab, docetaxel, and TDM1); resistance; outcomes; and sensitivity and test, depending on the financial capacity of Colombia and other countries. © 2020 Sánchez-Calderón et al.Background/Objective As the first generation of anti-hypertensive drug independently developed by China, Compound Reserpine and Hydrochlorothiazide Tablet (CRH) has been widely used in China for more than 40 years. However, limited studies are available for the performance of CRH for the treatment of hypertension in real-world setting in China. This study aimed to evaluate the comparative clinical effectiveness and treatment costs between CRH and three other anti-hypertensive agents that include, Triprolidine Hydrochloride (TH Diovan), Amlodipine Besylate Tablet (ABT Norvasc), and Nifedipine Tablets (NT Procardin) in real-world clinical practice. Plerixafor clinical trial Methods This was a multicentre, retrospective study conducted from May 2011 to May 2016 at four tertiary hospitals in China. Data from patients' electronic medical records (EMR) were retrieved and analysed. A retrospective propensity score-matched analysis was used for three pairs of comparisons. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and over option for hypertensive patients. © 2020 Li et al.Aim To identify the most common therapeutic options for the treatment of early-stage mycosis fungoides in Spain, quantify their associated healthcare resource use and costs. Methods After reviewing the literature, a panel of 6 Spanish clinical dermatologists validated the treatments and healthcare resource use through a structured questionnaire. Individual responses were collected, analyzed and presented into a face-to-face meeting in order to reach a consensus. Cost categories considered were drug acquisition and administration, photo/radiotherapy session and maintenance, clinical follow-up visits and laboratory tests. Costs were expressed in euros from 2018. The Spanish National Health System perspective was considered, taking into account direct health costs and time horizons of 1, 3 and 6 months. Results Costs for the skin-directed treatments (SDT) assessed at 1, 3 and 6 months, were Topical carmustine [€6,593.36, €19,780.09 and €27,592.78]; Phototherapy with psoralens and ultraviolet A light (PUVA) [€1,0ay provide critical information to measure the disease burden, to detect unmet medical needs and to advocate towards better treatments for this rare disease. © 2020 Ortiz-Romero et al.Introduction Patients with major depressive disorder (MDD) incur high costs, despite established treatment options. Adding an atypical antipsychotic (AAP) to antidepressant therapy has shown to reduce depressive symptoms in MDD, but it remains unclear with which adjunctive AAP to initiate. As economic burden is one factor that can influence treatment selection, this study's objective was to evaluate the impact of adjunctive AAP choice on psychiatric costs and healthcare utilization in MDD. Materials and Methods This retrospective cohort study analyzed de-identified data from (1) IBM® MarketScan® Commercial (C), Medicare Supplemental (MS), and MarketScan Multi-State Medicaid (M) Databases, and (2) Optum® Clinformatics® Datamart. Plerixafor clinical trial Adult MDD patients were included if they had initiated adjunctive AAPs during study identification period (7/1/15-9/30/16 MarketScan C/MS, and Optum; 7/1/15-6/30/16 MarketScan M), and ≥12 months of continuous enrollment before (baseline) and after (follow-up) first treatment date. Modelization in MDD. © 2020 Yan et al.