Baumert Jens, Heidemann Christin, Paprott Rebecca, Du Yong, Scheidt-Nave Christa
Department of Epidemiology and Health Monitoring, Robert Koch Institute, General-Pape-Strasse 62-66, D-12101, Berlin, Germany.
BMC Endocr Disord. 2018 Dec 13;18(1):95. doi: 10.1186/s12902-018-0319-2.
Random glucose is widely measured in epidemiological studies and in the clinical setting when standardized fasting protocols and oral glucose tolerance testing or HbA measuring are not feasible. The relationship between random glucose and all-cause mortality has hardly been studied so far and was examined in the present study.
We ascertained mortality status among 5955 persons aged 18-79 years and free of known diabetes when participating in the German National Health Interview and Examination Survey 1998 (mean observation time 11.7 years, 458 deaths). Cox regression was applied to analyze the association of random serum glucose with all-cause mortality taken potential confounders into account. Relative mortality risks were estimated as hazard ratios (HRs) with 95% confidence intervals (CIs) modeling random glucose as categorical or continuous variable.
Compared to random glucose levels of 4.3 - < 5.3 mmol/L, HRs (95% CIs) were 1.94 (0.85-4.45) for levels < 4.3 mmol/L and 1.16 (0.89-1.50), 1.20 (0.91-1.58), 1.42 (0.88-2.29), 2.02 (1.26-3.25) and 4.71 (2.20-10.10) for levels 5.3 - < 5.8, 5.8 - < 6.8, 6.8 - < 7.8, 7.8 - < 11.1 and ≥ 11.1 mmol/L, adjusted for age, sex, lifestyle, anthropometry and chronic diseases. An additional adjustment for fasting time or HbA yielded similar estimates. Modeling continuous random glucose by restricted cubic spline functions revealed comparable findings.
In the present epidemiological study drawn from the general population, random glucose showed a significant association with all-cause mortality, independent of main potential confounders. Thus, random glucose measures are highly relevant to health risk assessment among people without known diabetes when fasting glucose or HbA are difficult to obtain.
在流行病学研究以及临床环境中,当标准化的空腹检测方案、口服葡萄糖耐量试验或糖化血红蛋白(HbA)检测不可行时,随机血糖被广泛测定。随机血糖与全因死亡率之间的关系迄今几乎未被研究,本研究对此进行了探讨。
我们确定了参与1998年德国国民健康访谈与检查调查的5955名年龄在18 - 79岁且无已知糖尿病的人群的死亡状况(平均观察时间11.7年,458例死亡)。应用Cox回归分析随机血清葡萄糖与全因死亡率之间的关联,并考虑了潜在混杂因素。将随机血糖作为分类变量或连续变量进行建模,相对死亡风险以风险比(HRs)及其95%置信区间(CIs)进行估计。
与随机血糖水平为4.3 - <5.3 mmol/L相比,血糖水平<4.3 mmol/L时的HRs(95% CIs)为1.94(0.85 - 4.45),血糖水平为5.3 - <5.8、5.8 - <6.8、6.8 - <7.8、7.8 - <11.1及≥11.1 mmol/L时的HRs(95% CIs)分别为1.16(0.89 - 1.50)、1.20(0.91 - 1.58)、1.42(0.88 - 2.29)、2.02(1.26 - 3.25)及4.71(2.20 - 10.10),对年龄、性别、生活方式、人体测量学指标及慢性病进行了校正。对空腹时间或糖化血红蛋白进行额外校正后得到了相似的估计值。通过受限立方样条函数对连续随机血糖进行建模也得出了类似的结果。
在这项来自普通人群的流行病学研究中,随机血糖与全因死亡率显著相关,且独立于主要潜在混杂因素。因此,当难以获得空腹血糖或糖化血红蛋白时,随机血糖测量对于无已知糖尿病的人群的健康风险评估具有高度相关性。