Comparison of the Effectiveness of Vedolizumab and Ustekinumab in Crohn's Disease Patients Who Failed Anti-tumor Necrosis Factor-α Treatment in Japan: An Observational Study Utilizing Claims Database.

This study aimed to investigate whether the approved sequence of vedolizumab and ustekinumab impacts the results of previous observational studies conducted in the European Union (EU), comparing the effectiveness of these drugs in Crohn's disease (CD) patients who failed anti-tumor necrosis factor-α (TNFα) treatment. We conducted this study in Japan, where the approved sequence of drugs is different from that of the EU. We extracted 256 patients diagnosed with CD, who had a history of anti-TNFα treatment and were prescribed either vedolizumab or ustekinumab, from JMDC claims database. The patients' backgrounds were adjusted by inverse probability of treatment weighting using propensity score. The primary outcome was treatment persistence. Secondary outcomes were a steroid-free period, time to hospitalization, and time to CD-related surgery. The hazard ratios (HR) for survival times were estimated using the Cox proportional hazard model. The treatment persistence (primary endpoint) was significantly longer for ustekinumab than vedolizumab (HR, 0.32; 95% confidence interval (CI), 0.15-0.72). The results of the secondary endpoints were as follows: steroid-free period (HR, 0.38; 95% CI, 0.10-1.48), time to hospitalization (HR, 1.07; 95% CI, 0.60-1.91), or time to CD-related surgery (HR, 0.33; 95% CI, 0.11-0.97). There were no outcomes indicating the superiority of vedolizumab. Our findings suggest that ustekinumab is a more effective treatment option than vedolizumab for CD patients who failed to anti-TNFα treatment, and this finding remains consistent across both Japan and the EU.

Validation Study of Algorithms to Identify Malignant Tumors and Serious Infections in a Japanese Administrative Healthcare Database.

BACKGROUND: This retrospective observational study validated case-finding algorithms for malignant tumors and serious infections in a Japanese administrative healthcare database. METHODS: Random samples of possible cases of each disease (January 2015-January 2018) from two hospitals participating in the Medical Data Vision Co., Ltd. (MDV) database were identified using combinations of ICD-10 diagnostic codes and other procedural/billing codes. For each disease, two physicians identified true cases among the random samples of possible cases by medical record review; a third physician made the final decision in cases where the two physicians disagreed. The accuracy of case-finding algorithms was assessed using positive predictive value (PPV) and sensitivity. RESULTS: There were 2,940 possible cases of malignant tumor; 180 were randomly selected and 108 were identified as true cases after medical record review. One case-finding algorithm gave a high PPV (64.1%) without substantial loss in sensitivity (90.7%) and included ICD-10 codes for malignancy and photographing/imaging. There were 3,559 possible cases of serious infection; 200 were randomly selected and 167 were identified as true cases after medical record review. Two case-finding algorithms gave a high PPV (85.6%) with no loss in sensitivity (100%). Both case-finding algorithms included the relevant diagnostic code and immunological infection test/other related test and, of these, one also included pathological diagnosis within 1 month of hospitalization. CONCLUSIONS: The case-finding algorithms in this study showed good PPV and sensitivity for identification of cases of malignant tumors and serious infections from an administrative healthcare database in Japan.

Influence of municipality-level mean income on access to aortic valve surgery: a cross-sectional observational study under Japan's universal health-care coverage.

BACKGROUND: Universal health-care coverage has attracted the interest of policy makers as a way of achieving health equity. However, previous reports have shown that despite universal coverage, socioeconomic disparity persists in access to high-tech invasive care, such as cardiac treatment. In this study, we aimed to investigate the association between socioeconomic status and care of aortic stenosis in the context of Japan's health-care system, which is mainly publicly funded. METHODS: We chose aortic stenosis in older people as a target because such patients are likely to be affected by socioeconomic disparity. Using a large Japanese claim-based inpatient database, we identified 12,893 isolated aortic stenosis patients aged over 65 years who were hospitalized between July 2010 and March 2012. Municipality socioeconomic status was represented by the mean household income of the patients' residential municipality, categorized into quartiles. The likelihood of undergoing aortic valve surgery and in-hospital mortality was regressed against socioeconomic status level with adjustments for hospital volume, regional number of cardiac surgeons per 1 million population, and patients' clinical status. RESULTS: We found no significant differences between the highest and lowest quartile groups in surgical indication (odds ratio, 0.84; 95% confidence interval, 0.69-1.03) or in-hospital mortality (1.00; 0.68-1.48). Hospital volume was significantly associated with lower postoperative mortality (odds ratio of the highest volume tertile to the lowest, 0.49; 0.34-0.71). CONCLUSIONS: Under Japan's current universal health-care coverage, municipality socioeconomic status did not appear to have a systematic relationship with either treatment decision for surgical intervention or postoperative survival following aortic valve surgery among older patients. Our results imply that universal health-care coverage with high publicly funded coverage offers equal access to high-tech cardiovascular care.