Abstract
To analyze the clinical significance of the oral glucose tolerance test (OGTT) in the assessment of abnormal glucose metabolism in Chinese patients with hypertension. In this cross-sectional study of 10 173 hypertensive adult patients from eight sites in China, data on patient, clinical and disease characteristics were collected, and fasting plasma glucose (FPG) levels were measured. A subset of 5322 patients also underwent an OGTT. Abnormal glucose metabolism (impaired glucose regulation (IGR) or diabetes mellitus (DM)) was detected in 31.1% of the 10 173 patients by FPG testing and in 67% of the 5322 patients by OGTT. OGTT increased the detection rate by 35.8%. Patients with FPG levels ⩾5.6 and ⩾6.1 mmol l−1 had the mean OGTT 2-h plasma glucose levels of 8.79 and 9.68 mmol l−1, respectively. Compared with normoglycemic patients, those with IGR or DM had higher rates of total proteinuria (normoglycemic 15.8% vs. IGR 22.1% vs. DM 33.7%, P<0.001), a lower absolute estimated glomerular filtration rate (eGFR; in ml min−1 per 1.73 m2) (82.9 vs. 80.77 vs. 79.74, P=0.06) and a higher prevalence of cardiovascular disease (normoglycemic 17.6% vs. IGR/DM 13.8%, P<0.001). Abnormal abdominal circumference, eGFR ⩽60 ml min−1 per 1.73 m2, and proteinuria were independently associated with abnormal glucose metabolism (IGR or DM). Hypertensive patients who are diabetic or at risk of diabetes are at greater risk of renal damage and cardiovascular disease than those who are normoglycemic. It is insufficient to assess the glucose metabolism status of Chinese hypertensive patients using only FPG testing; the use of OGTT can increase the detection rate by 35.8%. Patients whose FPG levels were <5.6 mmol l−1 may be found to have abnormal glucose metabolism after an OGTT.
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Introduction
Currently, the number of hypertensive patients in China is 200 000 000.1 The number of premature deaths from cardiovascular and cerebrovascular diseases due to hypertension has reached ∼2 330 000;2 therefore, hypertension is now the leading cause of death in China and, therefore, a risk to the health of the Chinese population.
Diabetes mellitus (DM) is one of the most important risk factors for hypertension, and people with both DM and hypertension have approximately twice the risk of cardiovascular disease as non-diabetic people with hypertension.3 Impaired glucose regulation (IGR; ‘pre-diabetes’) is a critical intermediate stage in the development of DM.4 The China Heart Survey showed that the prevalence of abnormal glucose metabolism in patients with coronary artery disease would be underestimated using fasting plasma glucose (FPG) testing alone. Specifically, 87.4% of patients with IGR and 80.5% of patients with DM would have remained undiagnosed if oral glucose tolerance tests (OGTTs) had not been performed.5 It is not clear whether the risk of DM development in hypertensive patients in China can be comprehensively assessed only with FPG testing. Owing to the importance of assessing the true glucose metabolism status of hypertensive patients, we designed this cross-sectional study to compare the FPG and OGTT tests in screening for pre-diabetes and DM in patients with hypertension. These results are expected to be meaningful because of the large numbers of Chinese patients with hypertension who may also have diabetes.
Methods
Subjects
Patients diagnosed with essential hypertension (regardless of whether they were receiving antihypertensive therapy) and those with 18–75 years of age were enrolled. All patients included in the study agreed to undergo fasting blood tests; a subset of patients also agreed to undergo an OGTT. The diagnosis of hypertension complied with the 2010 Chinese hypertension guidelines.1 The study excluded patients with secondary hypertension but did not exclude patients with a history of cardiovascular or cerebrovascular disease.
Study design
This was a cross-sectional study. Large hospitals (>2000 inpatient beds) from the east, west, south, north and central areas of China were selected to participate; community hospitals affiliated with each of these hospitals also participated. One primary investigator and two subinvestigators were based at each hospital, all of whom were trained according to a uniform protocol. Investigators at each hospital enrolled outpatients from cardiology, hypertension and general internal medicine wards of the large hospitals and general outpatients from the associated community hospitals between 1 August 2007 and 31 December 2008.
All patients who met the inclusion criteria and who read and signed an informed consent statement were included in the study. On the day of enrollment, study investigators completed the survey questionnaire based on verbal responses from patients, and they conducted a physical examination of the patient. The questionnaire captured the patient’s history of hypertension, use of antihypertensive agents, risk factors for cardiovascular diseases and presence of cardiovascular and cerebrovascular diseases. The physical examination included measuring blood pressure (BP), body mass index and abdominal circumference. Blood and urine samples were collected from patients on the day after their questionnaire/physical examinations to screen for DM and IGR using FPG and for albuminuria and proteinuria (see Study assessments). In addition, those patients who had signed an informed consent statement to undergo an OGTT were then tested using this method.
A seated BP was measured in the clinic by trained technicians using a mercury sphygmomanometer after patients had rested quietly for 5 min. The systolic BP (SBP) and diastolic BP (DBP) were recorded at the first appearance (phase I) and the disappearance (phase V) of Korotkoff sounds. An average value was obtained from three separate measurements with an interval of 2 min.
All tests of blood biochemistry (including FPG and lipids) were conducted in certified laboratories that meet the national standards (each participating hospital in this study has a laboratory that meets the national standards). Blood was collected after 12 h of fasting. A simplified OGTT was conducted, in which venous plasma glucose levels were measured 2 h after oral intake of 350 ml water with 75 g anhydrous glucose powder; this plasma glucose level was referred to as the 2-h plasma glucose level.
Venous blood was collected and the serum creatinine (SCr) was measured using the picric acid method at each study site. The estimated glomerular filtration rate (eGFR) was determined using the following modified MDRD formula:6 eGFR=186 × SCr−1.154 × Age0.203 × 0.742 (female) × 1.233. In the formula, eGFR units are ml min−1 per 1.73 m2; SCr units are mg dl−1; weight is in kg; and age is in years.
Standard urine tests for proteinuria were conducted in all patients. Urinary albumin/creatinine ratios were measured with microalbuminuria test paper provided by the Bayer HealthCare Company in patients in whom proteinuria was not detected by this method. Microalbuminuria was defined as an abnormal urinary albumin/creatinine ratio, and clinical proteinuria was defined as urinary protein levels >0.3 g l−1.
An FPG level ⩾7.0 mmol l−1 or a 2-h plasma glucose level ⩾11.1 mmol l−1 was the diagnostic of DM. IGR was diagnosed when the FPG was ⩾5.6 and <7.0 mmol l−1 (impaired fasting glucose, IFG), when the 2-h plasma glucose level was ⩾7.8 and <11.1 mmol l−1 (impaired glucose tolerance, IGT) or when patients had both an abnormal IFG and IGT (in the subset of patients who had both an FPG test and an OGTT).7
According to the Chinese guidelines for hypertension management,1 the definitions of the normal ranges of some parameters in our study were as follows: BP: SBP <140 mm Hg, DBP <90 mm Hg; body mass index <24 kg cm−2; abdominal circumference <90 cm (men) and <85 cm (women); and a low-density lipoprotein cholesterol <3.3 mmol l−1. The normal range for FPG was defined according to the American Diabetes Association (FPG <5.6 mmol l−1).7
This study was approved by the Ethics Committee of Peking University People’s Hospital, as well as by each of the participating hospitals (see Acknowledgments for the full list of all participating hospitals).
Study objectives
The study objectives included identifying the following: (1) the proportion of patients with IFG or DM according to the FPG criteria; (2) the proportion of patients with IGT or DM according to the OGTT criteria; (3) the relationship between BP control and glucose regulation; and (4) the relationship between glucose metabolism and proteinuria.
Statistical methods
The Epidata software (Epidata 3.0 for Microsoft Windows) was used to double enter and validate the data. Data analysis was performed using SPSS 11.5 for Windows. The mean±s.d. was calculated for continuous variables. Between-group comparisons were made using analysis of variance (ANOVA) for continuous data and the Wilcoxon rank sum test for categorical data. Factors associated with abnormal glucose metabolism were analyzed through logistic regression analysis. A P-value of <0.05 was defined as statistically significant. Missing data were substituted with the mean value of each item.
Results
A total of eight study sites and 37 hospitals were involved in the study; of these, 26 were large hospitals and 11 were community hospitals.
Subjects
A total of 10 212 patients were eligible for inclusion and completed the questionnaires, blood tests and urine tests. Of these, 39 patients did not have FPG samples and were excluded. Therefore, a total of 10 173 patients were enrolled in the study. There were 5097 men and 5076 women, and 6382 patients were in large hospitals and 3791 in community hospitals. Their mean age, SBP, DBP, body mass index, FPG, total cholesterol, triglyceride, LDL-C, high-density lipoprotein cholesterol and SCr levels were 61.71±11.57 years, 141.47±17.64 mm Hg, 85.08±11.95 mm Hg, 25.21±3.43 kg m−2, 5.41±1.57 mmol l−1, 4.90±1.06 mmol l−1, 1.83±1.31 mmol l−1, 3.17±0.95 mmol l−1, 1.22±0.37 mmol l−1 and 84.46±28.82 μmol l−1, respectively.
FPG test results
FPG levels were <5.6 mmol l−1 in 7006 hypertensive patients (68.9% of the 10 173 patients), >5.6 mmol l−1 in 3167 patients (31.2%), 5.6–7.0 mmol l−1 in 2611 patients (25.7%) and >7.0 mmol l−1 in 556 patients (5.5%). Figure 1 shows that 31.2% of the hypertensive patients were diagnosed with IFG or DM using the FPG.
The BP control rates of patients with IGR or DM (as determined using FPG tests) were clearly lower than those of normoglycemic patients (SBP control rate of 41.0% vs. 46.4%; DBP control rate of 57.7% vs. 62.1%; Mann–Whitney test, both P<0.001). See Table 1 for the proportion of patients in each group who met the guideline criteria for other risk factors of cardiovascular diseases.
OGTT data
Patients
A total of 5322 hypertensive patients agreed to undergo an OGTT. The characteristics of these patients are shown in Table 2. Their mean FPG level was 5.64 mmol l−1 and the mean 2-h plasma glucose was 8.01 mmol l−1. The glucose metabolism of these hypertensive patients determined using only FPG criteria or using either FPG criteria (in blue) or 2-h OGTT criteria is shown in Figure 1.
In addition, an analysis of the mean 2-h plasma glucose levels stratified by the FPG level (Table 3) shows that the mean 2-h plasma glucose was >7.8 mmol l−1 in patients with an FPG of ⩾5.6 mmol l−1. This result suggests that at least 50% of them had a 2-h plasma glucose load of 7.8 mmol l−1 or more and that these patients met the criteria for abnormal glucose metabolism (DM or IGT) by OGTT criteria.5 Giving an OGTT to the patients with an FPG level ⩾5.6 mmol l−1 may provide higher detection rates of abnormal glucose metabolism than only performing an OGTT in those patients with an FPG level ⩾6.1 mmol l−1 (Table 3).
The proportion of patients with IGT was 53.4% (2840/5322), and 13.6% (726/5322) met the criteria for DM. FPG testing of hypertensive patients detected 31.2% of patients with IGR or DM, whereas an OGTT detected 67% of such patients, thereby raising the detection rate by 35.8% (Figure 1). Thus, an OGTT doubled the IGR detection rate compared with a single FPG measurement.
BP control and glucose metabolism
Hypertensive patients with DM according to the OGTT criteria had worse SBP control than those with normal blood glucose levels (that is, normoglycemia) or with IGR (Table 4). The SBP in the NGM (normal glucose metabolism), IGR and DM groups was 141.77±16.84 mm Hg. BP control was defined as an SBP/DBP of <140/90 mm Hg. The proportion of patients in the subgroup with either IGR or DM who had SBP control was 34.5% and those who had DBP control was 30.6%. The proportions of patients who received combination therapy in the NGM, IGR and DM groups were 39.0%, 43.9% and 45.2%, respectively. Although more hypertensive patients with IGR received combination therapy than did hypertensive patients with normal glucose metabolism (P=0.005), the BP control rate was still lower in the IGR group than that in the NGM group.
Kidney damage according to glucose metabolism in the OGTT group
The prevalence of clinical proteinuria and microalbuminuria in hypertensive patients increased as glucose regulation worsened (occurring in 22.1% of patients with IGR vs. 33.7% of patients with DM). Kidney damage in hypertensive patients with abnormal glucose metabolism was more common than in those with hypertension alone.
The mean eGFR in hypertensive patients with IGR was 80.77 ml min−1 per 1.73 m2 and in hypertensive patients with DM was 79.74 ml min−1 per 1.73 m2. The proportion of patients with an eGFR of <60 ml min−1 per 1.73 m2 increased as impairment in glucose metabolism increased (22.7%, 27.8% and 31.8% in the NGM, IGR and DM groups, respectively).
Prevalence of cardiovascular disease according to glucose metabolism
The prevalence of cardiovascular or cerebrovascular disease in hypertensive patients with IGR or DM was 17.6%; the prevalence was 13.8% in normoglycemic patients (Mann–Whitney test, P<0.001). Cardiovascular diseases included angina pectoris, myocardial infarction, percutaneous coronary intervention and heart failure. Cerebrovascular diseases included cerebral infarction, cerebral hemorrhage and transient cerebral ischemic attack.
Factors associated with abnormal glucose metabolism
The following factors were included in the multivariate analysis in the OGTT population (n=5322) as independent variables: course of hypertension, BP control (< or ⩾140/90 mm Hg), proteinuria (positive or negative), eGFR (⩽ or >60 ml min−1 per 1.73 m2), abdominal circumference (abnormal or normal) and antihypertensive drug use (yes or no). Abnormal glucose metabolism (IGR or DM according to the OGTT criteria) was the dependent variable. The results showed that in hypertensive patients, abnormal abdominal circumference, decreased eGFR and proteinuria were significantly associated with abnormal glucose metabolism (DM or IGR) (Table 5).
Discussion
Hypertension and DM are the chief components of metabolic syndrome. It has been reported that ∼60–70% of people who suffer from DM also have hypertension,3, 7, 8 and conversely, many hypertensive patients have abnormal glucose regulation.1 The rate of cardiovascular disease events doubles when high BP co-occurs with DM.3 Wang et al.9 reported 360 cases of hypertensive patients with fasting blood glucose <5.6 mmol l−1 who accepted an OGTT test, and they detected 164 cases of IGT (45.6%) and 48 cases of DM (13.3%). In 1166 cases of hypertensive patients in the Jiangxi province, 64.7% of patients were found to have abnormal glucose metabolism.10 In the current study, 10 173 patients with essential hypertension but of unknown diabetic status were included. FPG testing revealed that 31.2% of these patients had abnormal glucose metabolism (either IFG or DM), whereas oral glucose testing in a subgroup of 5322 patients found that the rate of abnormal glucose metabolism (that is, either IGT or DM) was 67%, as indicated by impaired postprandial glycemia. Compared with FPG testing, an OGTT increased the detection rate by 35.8%. Among the 5322 hypertensive patients, 2633 patients with a fasting blood glucose <5.6 mmol l−1 had an OGTT test. Of these, 879 patients (33.3%) had abnormal glucose metabolism. That is, OGTTs detected 33.3% of patients with abnormal glucose metabolism, similar to the results from the aforementioned studies. Although some hypertensive patients with a fasting blood glucose <5.6 mmol l−1 refused the OGTT test, the proportion with abnormal glucose metabolism based on OGTT screening may be higher than the actual data reported in the study. An OGTT can indeed significantly improve the detection rate of abnormal glucose metabolism.
Our study also showed that for hypertensive patients with an FPG ⩾5.6 mmol l−1, the mean OGTT 2-h plasma glucose level was >7.8 mmol l−1. If an OGTT were conducted only in patients with FPG levels ⩾6.1 mmol l−1, the rate of abnormal glucose metabolism in all hypertensive patients would be underestimated. When the FPG levels were between 5.6 and 7.0 mmol l−1 (that is, IFG), a significant number of patients had abnormal postprandial plasma glucose levels. IGT is associated with an increased risk of cardiovascular disease.8 Indeed, the 2010 edition of the Chinese hypertension guidelines includes the evaluation of IFG and IGT in the recommendations for the management of hypertension1 to remind clinicians to pay attention to the early evaluation of blood glucose levels in hypertensive patients.
In accordance with The American Diabetes Association Guidelines7 (current at the time we designed our study), our study defined the lower cutoffs of IFG as an FPG level >5.6 mmol l−1 and IGT as a 2-h plasma glucose level ⩾7.8 mmol l−1. On this basis, we found that 67% of the Chinese hypertensive patients had pre- and postprandial glucose metabolism impairments. Therefore, our study shows that, in China, the proportion of hypertensive patients with accompanying glucose metabolism disorders is high. Therefore, it is crucial to highlight the importance of blood glucose screening in hypertensive patients so that early effective preventative measures can be implemented. Use of the simplified OGTT would increase the detection rate of glucose metabolism abnormalities by 35.8% without increasing the patient’s burden.
Hypertension with albuminuria was considered to be an early biomarker of hypertension and diabetic kidney damage.11 The kidney is an important target end-organ in hypertension, and the combination of poor BP control and poor blood glucose control has a negative impact on the kidney. It has previously been shown that albuminuria occurs in patients with coronary artery disease, regardless of whether the patient is accompanied by DM, and that albuminuria is associated with increased rates of cardiovascular disease, all-cause death and hospitalization due to heart failure.12 Our previous study carried out in patients with essential hypertension also showed that as BP levels increased, the prevalence of albuminuria increased and that the extent of urinary protein excretion was significantly different between those with good BP control and those with poor BP control (27.1% vs. 30.2%, P<0.05).13 We also found that hypertensive patients with abnormal glucose metabolism had a higher prevalence of albuminuria and that the number of patients who had DM was 1.6-fold higher in those with total proteinuria than in those without proteinuria (42.4% vs. 26.3% of patients),14 which further suggests that the coexistence of hypertension and hyperglycemia is likely to do more harm to the kidneys.14 Our current study results support the observation that worsening of glucose regulation in hypertensive patients is associated with declining kidney function: the eGFR in patients with hypertension and no glucose metabolism disorders was 82.9 ml min−1 per 1.73 m2 vs. those with hypertension and IGR, which was 80.77 ml min−1 per 1.73 m2, and those with hypertension and DM, which was 79.74 ml min−1 per 1.73 m2 (although differences between the groups were not significant). Moreover, we found that hypertensive patients with abnormal glucose metabolism had higher rates of albuminuria than did those with normoglycemia (33.7% of patients with DM vs. 22.1% of patients with IGR vs. 15.8% of normoglycemic patients). Overall, 27.9% of patients who underwent an OGTT in our study had albuminuria, similarly to our previously reported results (28.8%).13
Finally, the multivariate logistic regression analysis indicated that a large abdominal circumference, proteinuria and impaired kidney function (assessed by eGFR) were independently associated with abnormal glucose metabolism. This finding suggests that obese hypertensive patients should be monitored for changes in their glucose metabolism and that an OGTT should be administered. In addition, clinicians treating hypertensive patients should be aware of the risk of kidney organ damage in the overall evaluation of patients with hypertension so that proper treatment may be provided.
The limitations of this study are as follows:
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Not all patients with hypertension included in our study underwent the OGTT, which suggests that the OGTT results may have overestimated the prevalence of IGT in these patients.
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Participating sites were selected by geographical location and not randomly selected.
Conclusion
A total of 67% of hypertensive patients in China have DM or are at an increased risk of DM (IFG/IGT), which has a close association with microalbuminuria. They are therefore more likely to suffer from kidney damage, as well as cardiovascular or cerebrovascular diseases. The use of an OGTT can raise the detection of glycemic disorders by 35.8%, and the detection rate is maximized if an OGTT is implemented in those with FPG levels ⩾5.6 mmol l−1. We conclude that testing FPG levels and using the simplified OGTT can help clinicians to evaluate the risk of DM in patients with hypertension and to take early and effective preventative measures to improve patient outcomes.
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Acknowledgements
We thank Tracy Harrison of inScience Communications, Springer Healthcare, who provided assistance with the English language and technical editing. This assistance was funded by the Bayer Healthcare (China). We also thank all of the hospitals and experts who participated in the study. The following list is arranged according to alphabetical order of the hospital’s Chinese name: Peking University Third Hospital, Wei Gao, Zhaoping Li; Beijing Jishuitan Hospital, Xingshan Zhao, Zhan Ma; Beijing Sixth Hospital, Xiaoping Xiang, Hanjun Yuan; Beijing Hospital, Qin He, Hua Wang; Daping Hospital of Chongqing, Zhiming Zhu, Yinxing Ni; Daqing Oilfield General Hospital of Heilongjiang Province, Jinping Wang; Southwest Hospital of The Third Military Medical University, Liangyi Si, Qiang Xu; Tangdu Hospital of The Fourth Military Medical University, Lianyou Zhao, Yongfei Ai; Huashan Hospital of Fudan University, Yong Li, Weilin Qi; Hebei Provincial People’s Hospital, Shuren Li; The Second Hospital of Hebei Medical University, Yuming Hao; Henan Provincial People’s Hospital, Hao Wang, Shuxian Cui; Huadong Hospital, Yu Zhang; Tongji Hospital of Huazhong University of Science and Technology, Xiaomei Guo, Hua Liao; Shanghai Eighth Hospital of Jiangsu University, Qingping Chang, Changwu Ruan; Civil Aviation General Hospital, Wen Yang; Inner Mongolia People’s Hospital, Yajun Han; The First Affiliated Hospital of Nanchang University, Yunfeng Wei, Xiaoping Peng; Putuo District Center Hospital, Huigen Jin; The Affiliated Hospital of Medical College Qingdao University, Shanglang Cai, Wenzhong Zhang; The First Hospital of Shanxi Medical University, Shuiwang Zhang; The Sixth Hospital of Shanghai, Qing Zhao; The First Hospital of Shanghai, Ying Wu; Beijing Chaoyang Hospital Affiliated to Capital Medical University, Mingming Gao, Yuan Zhang; Beijing Tiantan Hospital Affiliated to Capital Medical University, Fenghe Du, Hongtao Gong; Fuxin Hospital Affiliated to Capital Medical University, Ming Yang, Zhaoxia Yin; Xuanwu Hospital Affiliated to Capital Medical University, Qi Hua, Yinzhen Chen; West China Hospital of Sichuan University, Xiaoping Chen, Qing Peng; Tianjin Medical University General Hospital, Yuemin Sun; Xiluoyuan Community Health Center, Ling Tian, Hongwei Xu; The First Hospital of Xiamen, Qiang Xie; Yueyang Hospital, Deyu Fu; Second Affiliated Hospital Zhejiang University College of Medicine, Meixiang Xiang, Zhenni Jiang; Second Affiliated Hospital Zhejiang University College of Medicine, Geng Xu, Ying Zhou; The First Affiliated Hospital of Zhengzhou University, Zhenwen Huang, Xin Fu; and Xiangya Hospital of Central-South University, Tianlun Yang, Qilin Ma.
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Ningling Sun contributed to discussions and reviewed and edited the manuscript. Hongyi Wang performed the statistical analyses and wrote parts of the manuscript. Yuemin Sun, Xiaoping Chen, Hao Wang, Lianyou Zhao, Jinping Wang and Zhiming Zhu contributed to the data collection. All the authors read and approved the final manuscript.
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Sun, N., Wang, H., Sun, Y. et al. Detecting diabetic risk using the oral glucose tolerance test in Chinese patients with hypertension: a cross-sectional study. Hypertens Res 37, 82–87 (2014). https://doi.org/10.1038/hr.2013.126
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DOI: https://doi.org/10.1038/hr.2013.126
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