负荷后-空腹血糖差距能否用于确定中国成年人患糖尿病的风险?前瞻性队列研究。

IF 6.1 3区 医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetes research and clinical practice Pub Date : 2024-07-01 DOI:10.1016/j.diabres.2024.111761
Xiaohan Xu , Duolao Wang , Shabbar Jaffar , Uazman Alam , Shanhu Qiu , Bo Xie , Xiaoying Zhou , Zilin Sun , Anupam Garrib
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引用次数: 0

摘要

目的评估中国成年人空腹血浆葡萄糖(FPG)和口服葡萄糖耐量试验后2小时血浆葡萄糖(2hPG)与糖尿病发病风险之间的关系:我们对 3094 名未患糖尿病的参与者进行了跟踪调查,根据他们的口服葡萄糖耐量试验(OGTT)结果将他们分为低负荷后血糖(2hPG ≤ FPG)和高负荷后血糖(2hPG > FPG)。在平均 3.2 年的随访期间,我们监测了糖尿病的发病率、糖尿病前期的发病率、从糖尿病前期到糖尿病的病情发展以及从糖尿病前期到正常糖耐量(NGT)的病情逆转。在进行舍恩费尔德残差检验后,使用 Cox 时变协变量(Cox-TVC)模型估算危险比(HRs)和 95% 置信区间(CI),以比较低负荷后组和高负荷后组之间的不同临床事件:在队列研究中,3,094 名参与者中有 702 人(22.7%)为低负荷后(2hPG ≤ FPG,平均负荷后-空腹差距:-0.8 ± 0.7 mmol/L),2,392 人(77.3%)为高负荷后(2hPG > FPG,平均负荷后-空腹差距:1.8 ± 1.2 mmol/L)。在 3.2 ± 0.2 年的随访中,282 人(9.1%)患上了糖尿病。在低负荷组中,每千人年的发病率为:糖尿病 7.9 例,糖尿病前期 70.0 例,从糖尿病前期发展为糖尿病 23.4 例,疾病逆转为 NGT 327.2 例。在高负荷组中,糖尿病发病率为每千人年 13.9 例,糖尿病前期为每千人年 124.3 例,疾病进展为每千人年 59.5 例,疾病逆转为每千人年 238.6 例。与低负荷参与者相比,高负荷参与者的糖尿病、糖尿病前期和从糖尿病前期发展为糖尿病的发病率更高。糖尿病和糖尿病前期的发病率以及从糖尿病前期发展为糖尿病的死亡率都明显较高,而疾病逆转率则较低:结论:随访3.2年后,高负荷参与者罹患糖尿病前期/糖尿病的风险更高。结论:随访 3.2 年后,空腹后负荷高的参与者罹患糖尿病前期/糖尿病的风险更高,这表明空腹后负荷间隙可能是预测罹患糖尿病前期、糖尿病或逆转为 NGT 风险的一个简单工具。
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Can the postload-fasting glucose gap be used to determine risk of developing diabetes in chinese adults: A prospective cohort study

Objective

To evaluate the relationship between fasting plasma glucose (FPG) and 2-hour postload plasma glucose (2hPG) measured during an oral glucose tolerance test, and the risk of developing diabetes in Chinese adults.

Methods

We followed 3,094 participants without diabetes, categorizing them based on their oral glucose tolerance test (OGTT) results into low post load (2hPG ≤ FPG) and high post load (2hPG > FPG) at baseline. We monitored the incidence of diabetes, incidence of prediabetes, disease progression from prediabetes to diabetes and disease reversal from prediabetes to normal glucose tolerance (NGT) over an average of 3.2 years of follow-up.

After the Schoenfeld residual test, Cox’s time-varying covariate (Cox-TVC) models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) to compare the different clinical events between low and high post load groups.

Results

In the cohort study, of the 3,094 participants, 702 (22.7 %) had low post load (2hPG ≤ FPG, mean postload-fasting gap: −0.8 ± 0.7 mmol/L) and 2,392 (77.3 %) had high post load (2hPG > FPG, mean postload-fasting gap: 1.8 ± 1.2 mmol/L). Over 3.2 ± 0.2 years of follow-up, 282 (9.1 %) developed diabetes. In the low post load group, the incidence rates per 1,000 person-years were: diabetes was 7.9, prediabetes was 70.0, disease progression from prediabetes to diabetes was 23.4 and disease reversal to NGT was 327.2. For the high post load group, incidence rates for diabetes was 13.9, prediabetes was 124.3, disease progression was 59.5 and disease reversal was 238.6 per 1,000 person-years.

Participants with high post load showed higher incidence rates of diabetes, prediabetes, and progression from prediabetes to diabetes compared to those with low post load. HRs were significantly higher for incident diabetes and prediabetes, and disease progression from prediabetes to diabetes, whereas disease reversal was lower.

Conclusion

The risk of developing prediabetes/diabetes after 3.2 years of follow-up was higher in the participants with high post load. It suggested that postload-fasting gap may be a simple tool to predict the risk of developing prediabetes, diabetes or reversal to NGT.

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来源期刊
Diabetes research and clinical practice
Diabetes research and clinical practice 医学-内分泌学与代谢
CiteScore
10.30
自引率
3.90%
发文量
862
审稿时长
32 days
期刊介绍: Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.
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