METHODS: Over a one or two-year period, children <5 years hospitalized with CAP were identified using ICD-10 discharge codes. Cases were matched to standardized definitions of suspected (S-CAP), confirmed (C-CAP), or bacterial CAP (B-CAP) used in a pneumococcal conjugate vaccine efficacy study (COMPAS). Median total direct medical costs of CAP-related hospitalizations were calculated.

RESULTS: Vietnam (three centers): 7591 CAP episodes were identified with 4.3% (95% confidence interval 4.2;4.4) S-CAP, 3.3% (3.2;3.4) C-CAP and 1.4% (1.3;1.4) B-CAP episodes of all-cause hospitalization in children aged <5 years. The B-CAP case fatality rate (CFR) was 1.3%. Malaysia (two centers): 1027 CAP episodes were identified with 2.7% (2.6;2.9); 2.6% (2.4;2.8); 0.04% (0.04;0.1) due to S-CAP, C-CAP, and B-CAP, respectively. One child with B-CAP died. Indonesia (one center): 960 CAP episodes identified with 18.0% (17.0;19.1); 16.8% (15.8;17.9); 0.3% (0.2;0.4) due to S-CAP, C-CAP, and B-CAP, respectively. The B-CAP CFR was 20%. Korea (three centers): 3151 CAP episodes were identified with 21.1% (20.4;21.7); 11.8% (11.2;12.3); 2.4% (2.1;2.7) due to S-CAP, C-CAP, and B-CAP, respectively. There were no deaths.

COSTS: CAP-related hospitalization costs were highest for B-CAP episodes: 145.00 (Vietnam) to 1013.3 USD (Korea) per episode.

METHODS: A modified questionnaire was sent to the PV team heads of 21 PV agencies based in the APEC countries, between June 28 and September 12, 2017, to gather information on the structure, process, and outcome of PV status in these countries.

RESULTS: Of the 21 APEC countries, 15 responded. We found harmonized laws and regulations for general PV and risk management systems. However, variations were found in PV structure: for example, 11 out of 15 countries had national regulatory representatives responsible for PV in pharmaceutical companies, while four did not. For PV process, discrepancies were also found in the source type of adverse drug reaction (ADR) reports and reporting of medication errors and therapeutic ineffectiveness in cumulative ADR reports. With respect to PV outcomes, among countries that performed active surveillance, the United States of America was more active, with hundreds of projects including additional pharmacoepidemiological studies etc. Among the nine countries that responded, Japan had the greatest number of product label changes followed by Taiwan, Malaysia, and Korea.

METHODS: The current study estimated the annual spending and lifetime spending of smokers in the target Asia-Pacific countries (Hong Kong, Malaysia, Thailand, South Korea, Singapore, and Australia) on purchasing cigarettes, as well as predicted the revenue that could be generated if smokers spent the money on investment instead of buying cigarettes. Smokers' spending on cigarettes and the potential revenue generated from investment were estimated based on the selling prices of cigarettes, Standards & Poor's 500 Index, and life expectancies of smokers. Data were extracted from reports released by the World Health Organization or government authorities.

RESULTS: The annual expenses (in US$) on purchasing one pack of cigarettes, in decreasing order, were: Australia ($5628.30), Singapore ($3777.75), Hong Kong ($2799.55), Malaysia ($1529.35), South Korea ($1467.30), and Thailand ($657.00). The lifetime spending on purchasing one pack of cigarettes each day were: Australia ($308993.67), Singapore ($207398.48), Hong Kong ($151735.61 for male and $166853.18 for female), South Korea ($80261.31), Malaysia ($72338.26), and Thailand ($31207.50).

METHODS: Patients with schizophrenia from Japan, South Korea, Malaysia, and Taiwan were randomly assigned to 6 weeks of double-blind treatment with 40 or 80 mg/d of lurasidone or placebo. The primary efficacy measure was change from baseline to week 6 on the Positive and Negative Syndrome Scale (PANSS) total score. Efficacy was evaluated using a mixed-model repeated-measures (MMRM) analysis in the modified intention-to-treat (mITT) population.

RESULTS: On the basis of the analysis for the mITT population, the estimated difference score for lurasidone 40 and 80 mg/d vs placebo was -4.8 (P = 0.050) and -4.2 (P = 0.080). For the full intention-to-treat (ITT) population, the difference score for lurasidone 40 and 80 mg/d vs placebo was -5.8 (P = 0.017) and -4.2 (P = 0.043). The most frequent adverse events in the lurasidone 40 and 80 mg/d and placebo groups, respectively, were akathisia (7.3%, 10.4%, 3.3%), somnolence (6.0%, 2.6%, 0.7%), and vomiting (6.0%, 5.8%, 2.0%). The proportion of patients experiencing clinically significant weight gain (≥7%) was 5.3% for lurasidone 40 mg/d, 1.3% for 80 mg/d, and 1.4% for placebo. End point changes in metabolic parameters and prolactin were comparable for both lurasidone groups and placebo.