Abas Mohamad Zulfikrie, Hairi Noran Naqiah, Choo Wan Yuen, Wan Kim Sui, Li Kezhi
Department of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Institute for Clinical Research, National Institutes of Health, Blok B4, Kompleks NIH, No 1, Jalan Setia Murni U13/52, Seksyen U13 Bandar Setia Alam, 40170 Shah Alam, Selangor Malaysia.
J Diabetes Metab Disord. 2025 Apr 30;24(1):111. doi: 10.1007/s40200-025-01620-w. eCollection 2025 Jun.
This study evaluated the risk of all-cause mortality among Type 2 Diabetes (T2D) patients in Malaysia, correlating it with glycosylated haemoglobin A1c (HbA1c), blood pressure (BP), and LDL-Cholesterol (LDL-C) - the ABC parameters. This would fill the evidence gap from middle-income countries like Malaysia.
This retrospective cohort study analysed data from National Diabetes Registry and death records for 90,933 T2D patients in southern Malaysia (2011-2021). ABC parameters were categorized into quantiles, and adjusted hazard ratios (aHR) were estimated using Cox regression with the lowest-risk quantile as reference.
All-cause mortality showed a 'J-shaped' association across ABC parameters. For HbA1c, aHRs (95% CI) were 1.11 (1.03-1.19) and 1.51 (1.40-1.63) in the first and last deciles (reference: fourth decile). For BP and LDL-C (reference: third quantile), aHRs were 1.11 (1.05-1.17) and 1.19 (1.13-1.24) for systolic BP, and 1.08 (1.03-1.14) and 1.16 (1.11-1.22) for LDL-C at the lowest and highest quintiles. For diastolic BP, aHRs were 1.09 (1.02-1.16) and 1.11 (1.04-1.19) at the lowest and highest quartiles.
Maintaining optimal ABC parameters is crucial to reduce mortality in T2D patients. These findings fill critical gap in the literature, particularly for the Malaysian population.
The online version contains supplementary material available at 10.1007/s40200-025-01620-w.
本研究评估了马来西亚2型糖尿病(T2D)患者的全因死亡风险,并将其与糖化血红蛋白A1c(HbA1c)、血压(BP)和低密度脂蛋白胆固醇(LDL-C)——即ABC参数相关联。这将填补像马来西亚这样的中等收入国家的证据空白。
这项回顾性队列研究分析了马来西亚南部90933名T2D患者的国家糖尿病登记数据和死亡记录(2011 - 2021年)。ABC参数被分类为分位数,并使用Cox回归以风险最低的分位数作为参考来估计调整后的风险比(aHR)。
全因死亡率在ABC参数上呈现“J形”关联。对于HbA1c,第一和最后十分位数的aHR(95%置信区间)分别为1.11(1.03 - 1.19)和1.51(1.40 - 1.63)(参考:第四分位数)。对于BP和LDL-C(参考:第三分位数),收缩压在最低和最高五分位数的aHR分别为1.11(1.05 - 1.17)和1.19(1.13 - 1.24),LDL-C在最低和最高五分位数的aHR分别为1.08(1.03 - 1.14)和1.16(1.11 - 1.22)。对于舒张压,在最低和最高四分位数的aHR分别为1.09(1.02 - 1.16)和1.11(1.04 - 1.19)。
维持最佳的ABC参数对于降低T2D患者的死亡率至关重要。这些发现填补了文献中的关键空白,特别是对于马来西亚人群而言。
在线版本包含可在10.1007/s40200 - 025 - 01620 - w获取的补充材料。