| アブストラクト | BACKGROUND: The relationship between baseline low-density lipoprotein cholesterol (LDL-C) levels and mortality risk is complex, with both high and low LDL-C levels linked to increased mortality risk. Addressing sex differences in this association has gained attention in clinical practice; nonetheless, the interplay between LDL-C levels, mortality risk, and sex remains unclear. OBJECTIVE: To investigate sex differences in baseline LDL-C levels and their association with all-cause mortality and disease risk. METHODS: Data from the Japan Medical Data Center claims database (January 1, 2005 to April 30, 2021) were analyzed. This study included 3,898,594 individuals without a history of cardiovascular or cerebrovascular disease or lipid-lowering medication use. The primary outcome was all-cause mortality, with secondary outcomes including myocardial infarction, heart failure, ischemic stroke, cerebral hemorrhage, and malignancy incidence. RESULTS: At lower LDL-C levels (<50 mg/dL), all-cause mortality exhibited a stronger sex dependency, with a hazard ratio of 2.16 (95% CI, 1.19-3.91) for males compared with females. While males with higher LDL-C levels had a greater risk of myocardial infarction, those with an LDL-C level <50 mg/dL showed higher risks of heart failure, ischemic stroke, and hemorrhagic stroke than those shown by females. CONCLUSION: The association between LDL-C levels and cardiovascular disease risk varies by sex and risk type. These findings emphasize the need for nuanced interpretation of sex differences in LDL-C levels to guide risk assessment, as well as the need to account for population-specific heterogeneity. |
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| ジャーナル名 | Journal of clinical lipidology |
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| Pubmed追加日 | 2025/10/27 |
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| 投稿者 | Seki, Tomohisa; Takiguchi, Toru; Akagi, Yu; Ito, Hiromasa; Kubota, Kazumi; Miyake, Kana; Okada, Masafumi; Kawazoe, Yoshimasa |
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| 組織名 | Department of Healthcare Information Management, The University of Tokyo Hospital;(Drs Seki, Takiguchi, Ito, Kubota, Miyake, Okada, and Kawazoe), Tokyo, Japan.;Electronic address: seki@m.u-tokyo.ac.jp.;Department of Biomedical Informatics, Graduate School of Medicine, The University;of Tokyo (Dr Akagi), Tokyo, Japan.;(Drs Seki, Takiguchi, Ito, Kubota, Miyake, Okada, and Kawazoe), Tokyo, Japan;;Artificial Intelligence and Digital Twin in Healthcare, Graduate School of;Medicine, The University of Tokyo (Dr Kawazoe), Tokyo, Japan. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/41139524/ |
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