Cholesterol levels of Japanese dyslipidaemic patients with various comorbidities: BioBank Japan

BioBank Japan Cooperative Hospital Group

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Background: Controlling serum cholesterol is critical to prevent cardiovascular disease in patients with dyslipidaemia. Guidelines emphasise the need to select treatment for dyslipidaemia based on specific patient profiles; however, there is little information about the serum cholesterol levels of patients in each profile in Japan. Therefore, we aimed to describe the serum cholesterol levels and prevalence of uncontrolled cases in Japanese patients with dyslipidaemia. Methods: We included data for patients with dyslipidaemia between 2003 and 2007 from the BioBank Japan Project (66 hospitals). Then, we reported their serum cholesterol levels by age, body mass index, glycaemic control (glycated haemoglobin A1c), blood pressure, smoking, drinking, comorbidity and medication profiles. Results: We included 22,189 male and 21,545 female patients. The mean serum low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG) and non-HDL-C levels in males were 117.4 mg/dL, 51.0 mg/dL, 187.6 mg/dL and 153.6 mg/dL, respectively; the corresponding levels in females were 129.5 mg/dL, 60.5 mg/dL, 144.9 mg/dL and 157.9 mg/dL, respectively. In both males and females, the LDL-C levels were the highest in the following profiles: age 19e44 years, body mass index 18.5e22 kg/m2, glycated haemoglobin A1c < 6.0%, never smoker, chronic respiratory disease as a comorbidity and no medication use. Conclusions: These data provide details of serum cholesterol levels by risk-factor profile in patients with dyslipidaemia and could add evidence of treatment decisions.

Original languageEnglish
Pages (from-to)S77-S83
JournalJournal of epidemiology
Volume27
Issue number3
DOIs
Publication statusPublished - 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Epidemiology

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