Effects of once-monthly minodronate versus risedronate in osteoporosis patients with rheumatoid arthritis: a 12-month randomized head-to-head comparison.

A head-to-head comparison of once-monthly oral bisphosphonates minodronate (MIN) and risedronate (RIS) in patients with rheumatoid arthritis (RA) demonstrated that MIN has the same effect as RIS on increase in bone mineral density (BMD) and a stronger effect on inhibition of bone resorption than RIS, suggesting that MIN is a promising treatment option for osteoporosis patients with RA. INTRODUCTION: To evaluate the effect of once-monthly oral MIN in patients with RA, a prospective, randomized, open-label, head-to-head comparison with once-monthly oral RIS was conducted. METHODS: A total of 83 patients with RA were randomly assigned to either once-monthly oral MIN 50 mg (n = 42) or once-monthly oral RIS 75 mg (n = 41). Serial BMD and bone turnover markers were measured and compared between the treatment groups. RESULTS: BMD (lumbar spine, total hip, femoral neck) increased significantly after 12 months of treatment with MIN (3.8, 2.0, and 2.2%, respectively, P < 0.05) and RIS (3.6, 1.9, and 1.9%, respectively, P < 0.05). There were no significant differences between the treatment groups. Percent changes of bone turnover markers from baseline to 12 months in the MIN group were significantly greater than those in the RIS group (TRACP-5b: - 36.3 vs - 19.3%, P < 0.05; NTX: - 27.1 vs - 17.3%, P < 0.05; BAP: -30.2 vs -19.4%, P < 0.05). CONCLUSIONS: The present study of RA patients demonstrated that MIN has the same effect as RIS on increase in BMD and a stronger effect on inhibition of bone resorption than RIS. The results suggest that MIN is a promising treatment option for osteoporosis patients with RA.

The role of temperature in reported chickenpox cases from 2000 to 2011 in Japan.

Annual periodicities of reported chickenpox cases have been observed in several countries. Of these, Japan has reported a two-peaked, bimodal annual cycle of reported chickenpox cases. This study investigated the possible underlying association of the bimodal cycle observed in the surveillance data of reported chickenpox cases with the meteorological factors of temperature, relative humidity and rainfall. A time-series analysis consisting of the maximum entropy method spectral analysis and the least squares method was applied to the chickenpox data and meteorological data of 47 prefectures in Japan. In all of the power spectral densities for the 47 prefectures, the spectral lines were observed at the frequency positions corresponding to the 1-year and 6-month cycles. The optimum least squares fitting (LSF) curves calculated with the 1-year and 6-month cycles explained the underlying variation of the chickenpox data. The LSF curves reproduced the bimodal and unimodal cycles that were clearly observed in northern and southern Japan, respectively. The data suggest that the second peaks in the bimodal cycles in the reported chickenpox cases in Japan occurred at a temperature of approximately 8·5 °C.

Effect of temperature, relative humidity and rainfall on rotavirus infections in Kolkata, India.

Rotavirus is a common viral cause of severe diarrhoea. For the underlying cause of rotavirus seasonality, the meteorological factor has been suspected, whereas quantitative correlation between seasonality and meteorological factor has not been fully investigated. In this study, we investigated the correlation of temporal patterns of the isolation rate of rotavirus with meteorological condition (temperature, relative humidity, rainfall) in Kolkata, India. We used time-series analysis combined with spectral analysis and least squares method. A 1-year cycle explained underlying variations of rotavirus and meteorological data. The 1-year cycle for rotavirus data was correlated with an opposite phase to that for meteorological data. Relatively high temperature could be associated with a low value of isolation rate of rotavirus in the monsoon season. Quantifying a correlation of rotavirus infections with meteorological conditions might prove useful in predicting rotavirus epidemics and health services could plan accordingly.