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中度海拔地区急性冠状动脉综合征患者糖代谢异常的高发生率:一项喜马拉雅山地区的研究

High incidence of abnormal glucose metabolism in acute coronary syndrome patients at a moderate altitude: A sub-Himalayan study.

作者信息

Mokta Jitender, Kumar Subash, Ganju Neeraj, Mokta Kiran, Panda Prashant Kumar, Gupta Swatantra

机构信息

Department of Medicine, IGMC, Shimla, Himachal Pradesh, India.

Department of Cardiology, IGMC, Shimla, Himachal Pradesh, India.

出版信息

Indian J Endocrinol Metab. 2017 Jan-Feb;21(1):142-147. doi: 10.4103/2230-8210.196019.

DOI:10.4103/2230-8210.196019
PMID:28217514
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5240056/
Abstract

BACKGROUND

Abnormal glucose metabolic status at admission is an important marker of future cardiovascular events and long-term mortality after acute coronary syndrome (ACS), whether or not they are known diabetics.

OBJECTIVE

The aims were to study the prevalence of abnormal glucose metabolism in ACS patients and to compare the different methods of diagnosing diabetes in ACS patients.

METHODS

We did a prospective study. About 250 consecutive nondiabetic patients (200 men and 50 women) with ACS admitted to a tertiary care institute of Himachal Pradesh in 1 year were enrolled. Admission plasma glucose, next morning fasting plasma glucose (FPG), A1C, and a standardized 75-g oral glucose tolerance test (OGTT) 72 h after admission were done. Glucose metabolism was categorized as normal glucose metabolism, impaired glucose metabolism (impaired fasting glucose or impaired glucose tolerance [IGT]), and diabetes. Diabetes was arbitrarily classified further as undiagnosed (HBA1c ≥6.5%) or possibly stress diabetes (HBA1c <6.5%). A repeat OGTT after 3 months in objects with IGT and stress hyperglycemia at a time of admission was done.

RESULTS

The mean age was 54 ± 12.46 years. The mean plasma glucose at admission was 124 ± 53.96 mg/dL, and the mean FPG was 102 ± 27.07 mg/dL. The mean 2-h postglucose load concentration was 159.5 ± 56.58 mg/dL. At baseline, 95 (38%) had normal glucose metabolism, 95 (38%) had impaired glucose metabolism (IGT and or IGT) and 60 (24%) had diabetes; 48 (19.2%) were undiagnosed diabetes and 12 (4.8%) had stress hyperglycemia. At follow up 58.66% and 55.55% of patients with impaired glucose tolerance and stress hyperglycemia continued to have impaired glucose tolerance respectively. About 75 gm OGTT has highest sensitivity and specificity to diagnose diabetes, whereas A1C most specific to rule out stress hyperglycemia.

CONCLUSIONS

In this small hilly state of India, abnormal glucose metabolism (previously undiagnosed diabetes and IGT) is common in patients admitted with ACS. Abnormal glucometabolic status can be detected early in the postadmission period. Our results further suggest that 75-g OGTT remained the gold standard test to detect diabetes and could be used before discharge to diagnose diabetes.

摘要

背景

入院时异常的糖代谢状态是急性冠状动脉综合征(ACS)后未来心血管事件和长期死亡率的重要标志物,无论患者是否为已知糖尿病患者。

目的

研究ACS患者中异常糖代谢的患病率,并比较诊断ACS患者糖尿病的不同方法。

方法

我们进行了一项前瞻性研究。纳入了1年内入住喜马偕尔邦一家三级医疗机构的约250例连续的非糖尿病ACS患者(200例男性和50例女性)。检测入院时血浆葡萄糖、次日清晨空腹血糖(FPG)、糖化血红蛋白(A1C)以及入院72小时后标准化的75克口服葡萄糖耐量试验(OGTT)。糖代谢分为正常糖代谢、糖代谢受损(空腹血糖受损或糖耐量受损[IGT])和糖尿病。糖尿病进一步任意分类为未诊断(糖化血红蛋白≥6.5%)或可能的应激性糖尿病(糖化血红蛋白<6.5%)。对入院时IGT和应激性高血糖的患者在3个月后进行重复OGTT。

结果

平均年龄为54±12.46岁。入院时平均血浆葡萄糖为124±53.96毫克/分升,平均FPG为102±27.07毫克/分升。葡萄糖负荷后2小时平均浓度为159.5±56.58毫克/分升。基线时,95例(38%)糖代谢正常,95例(38%)糖代谢受损(IGT和/或空腹血糖受损),60例(24%)患有糖尿病;48例(19.2%)为未诊断糖尿病,12例(4.8%)有应激性高血糖。随访时,糖耐量受损和应激性高血糖患者分别有58.66%和55.55%继续存在糖耐量受损。约75克OGTT诊断糖尿病的敏感性和特异性最高,而糖化血红蛋白最能排除应激性高血糖。

结论

在印度这个多山的小邦,入院时患有ACS的患者中异常糖代谢(既往未诊断的糖尿病和IGT)很常见。入院后早期即可检测到异常糖代谢状态。我们的结果进一步表明,75克OGTT仍然是检测糖尿病的金标准试验,可在出院前用于诊断糖尿病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/9377a7efe461/IJEM-21-142-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/4bea4652aaea/IJEM-21-142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/1197f90357c7/IJEM-21-142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/5ee6fd05775d/IJEM-21-142-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/c92763524ed3/IJEM-21-142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/9377a7efe461/IJEM-21-142-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/4bea4652aaea/IJEM-21-142-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/1197f90357c7/IJEM-21-142-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/5ee6fd05775d/IJEM-21-142-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/c92763524ed3/IJEM-21-142-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a5c/5240056/9377a7efe461/IJEM-21-142-g007.jpg

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