著者

Junnichi Ishii Kosuke Kashiwabara Yukio Ozaki Hiroshi Takahashi Fumihiko Kitagawa Hideto Nishimura Hideki Ishii Satoshi Iimuro Hideki Kawai Takashi Muramatsu Hiroyuki Naruse Hiroshi Iwata Sadako Tanizawa-Motoyama Hiroyasu Ito Eiichi Watanabe Yutaka Matsuyama Yoshihiro Fukumoto Ichiro Sakuma Yoshihisa Nakagawa Kiyoshi Hibi Takafumi Hiro Seiji Hokimoto Katsumi Miyauchi Hiroshi Ohtsu Hideo Izawa Hisao Ogawa Hiroyuki Daida Hiroaki Shimokawa Yasushi Saito Takeshi Kimura Masunori Matsuzaki Ryozo Nagai

出版者

Japan Atherosclerosis Society

雑誌

Journal of Atherosclerosis and Thrombosis (ISSN:13403478)

巻号頁・発行日

vol.29, no.10, pp.1458-1474, 2022-10-01 (Released:2022-10-01)

参考文献数

33

被引用文献数

1 11

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Aim: We investigated the relationship between small dense low-density cholesterol (sdLDL-C) and risk of major adverse cardiovascular events (MACE) in patients treated with high- or low-dose statin therapy.Methods: This was a prospective case-cohort study within the Randomized Evaluation of Aggressive or Moderate Lipid-Lowering Therapy with Pitavastatin in Coronary Artery Disease (REAL-CAD) study, a randomized trial of high- or low-dose (4 or 1 mg/d pitavastatin, respectively) statin therapy, in patients with stable coronary artery disease (CAD). Serum sdLDL-C was determined using an automated homogenous assay at baseline (randomization after a rule-in period, >1 month with 1 mg/d pitavastatin) and 6 months after randomization, in 497 MACE cases, and 1543 participants randomly selected from the REAL-CAD study population.Results: High-dose pitavastatin reduced sdLDL-C by 20% than low-dose pitavastatin (p for interaction <0.001). Among patients receiving low-dose pitavastatin, baseline sdLDL-C demonstrated higher MACE risk independent of LDL-C (hazard ratio [95% confidence interval], 4th versus 1st quartile, 1.67 [1.04–2.68]; p for trend=0.034). High-dose (versus low-dose) pitavastatin reduced MACE risk by 46% in patients in the highest baseline sdLDL-C quartile (>34.3 mg/dL; 0.54 [0.36–0.81]; p=0.003), but increased relative risk by 40% in patients with 1st quartile (≤ 19.5 mg/dL; 1.40 [0.94–2.09]; p=0.099) and did not alter risk in those in 2nd and 3rd quartiles (p for interaction=0.002).Conclusions: These findings associate sdLDL-C and cardiovascular risk, independent of LDL-C, in statin-treated CAD patients. Notably, high-dose statin therapy reduces this risk in those with the highest baseline sdLDL-C.

著者

Tasuku Okui Yutaka Matsuyama Shigeyuki Nakaji

出版者

The Biometric Society of Japan

雑誌

計量生物学 (ISSN:09184430)

巻号頁・発行日

vol.39, no.2, pp.55-84, 2019-01-31 (Released:2019-05-11)

参考文献数

59

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Nowadays, many methods that employ the 16S ribosomal RNA gene (16S rRNA sequencing data) have been proposed for the analysis of gut microbial compositional data. 16S rRNA sequencing data is statistically multivariate count data. When multivariate data analysis methods are used for association analysis with a disease, 16S rRNA sequencing data is generally normalized before analysis models are fitted, because the total sequence read counts of the subjects are different. However, proper methods for normalization have not yet been discussed or proposed. Rarefying is one such normalization method that equals the total counts of subjects by subsampling a certain amount of counts from each subject. It was thought that if rarefying were combined with ensemble learning, performance improvement could be achieved. Then, we proposed an association analysis method by combining rarefying with ensemble learning and evaluated its performance by simulation experiment using several multivariate data analysis methods. The proposed method showed superior performance compared with other analysis methods, with regard to the identification ability of response-associated variables and the classification ability of a response variable. We also used each evaluated method to analyze the gut microbial data of Japanese people, and then compared these results.