INTRODUCTION

Diabetes mellitus is a chronic disease whose prevalence is rapidly increasing worldwide, with the number of diabetic patients being expected to increase from 360 million in 2011 to 550 million by 2030 [1]. This increase is especially faster in Asia including China, India, and Korea [23456789]. The increase in diabetic patients also denotes an increase in the number of complications associated with diabetes. Diabetes is one of the top 5 causes of death in both developing and advanced countries including Korea; in Korea, diabetes ranked 5th in 2010 after cancer, cerebrovascular diseases, cardiovascular diseases, and suicide, whose prevalence increased by 5.6% since 2009 at a much faster rate compared with other diseases [10]. Diabetes patients usually die of stroke, myocardial infarction, etc., and complications such as amputation of feet, blindness, renal failure, etc., seriously dampens the patients' quality of life and add economic burdens due to treatments [11121314]. The cost for the management of diabetes is much higher than normal people, especially for diabetes-associated complications, presenting management of diabetes as an important personal and social problem [1516171819].

The ultimate goal of diabetes management is to prevent complications by taking appropriate measures to improve diabetic patients' quality of life and reduce economic burdens from treatments. It has been reported that diabetes can be managed by proper regulation of blood glucose, blood pressure, dyslipidemia, etc. in order to reduce risks of complications [20212223]; thus, self-management by diabetic patients is of increasing importance with the help of guidelines for appropriate diabetes management and diabetes education [24252627]. In America, the Centers for Disease Control and prevention already recognizes the seriousness of diabetes and is continuing to check not only the prevalence of diabetes but also the diabetes-associated com-plications and the management status of diabetes, as well as running a prevention program [28]. However, not even the status of diabetes management is being systematically investigated in Korea, and the limited investigation that had been carried out only consists mainly of the data from health insurance and hospitals, revealing the lacking investigation state of diabetes management in Korea [29303132]. Furthermore, considering the importance of diabetes education and that diabetes education is mainly carried out in tertiary hospitals, it is necessary to determine exactly how diabetes management is being achieved in those tertiary hospitals.

In this study we investigated the management status of type 2 diabetes patients in 13 tertiary hospitals in Seoul or Gyeonggi region. We intend to apply our data to provide a basis to develop diabetes management guidelines for individual medical institutions as well as utilizing it as base evidence to prepare appropriate plans for diabetes management in Korea. Identifying the standard of diabetes management and prevalence of diabetes-associated complications that could arise from it will be necessary for the preparation and establishment of national policies for diabetes that prepares for the immediate rapid increase in diabetes patients.

METHODS

Study subjects

Of the patients who visited the 13 randomly chosen tertiary hospitals in Seoul or Gyeonggi region for blood glucose control from 19th of March to 29th of May in 2013, 2,626 type 2 diabetes outpatients aged over 20 years that regularly visited these hospitals for more than 6 months for blood glucose control were investigated. Of these patients, 16 patients whose blood glucose control schedule did not match that of type 1 diabetes patients were excluded, and the final 2,610 patients were chosen for this study.

During the investigation period, patients who matched this study's criteria were continuously recruited until a total of 100 patients were recruited from each hospital, and since the number of patients visiting each hospital was different, the registration dates were varied. This study was approved by the Institutional Review Board of each hospital with the same protocol.

Study methods

The details of the study subjects' demographical data, disease-related characteristics, blood test, prescribed medicine, associated diseases, and complications were gathered from their medical records. Medical records questionnaire was made and used based on both domestic and foreign treatment guidelines. To investigate the diabetes management status, the results of the blood glucose control indices, glycosylated hemoglobin (HbA1c); lipid; fasting glucose; 2-hour postprandial glucose; microalbuminuria; and ophthalmography tests, were collected. If no tests had been carried out during the previous 1 year, it was assumed that the tests were not performed.

Diabetes complication was assumed only when it appeared in the medical records. Retinopathy was assumed if there was any abnormality in the test results, regardless of diagnosis. It was treated as 'no records' if the medical records had no history of any tests or diagnosis. The patients with albumin creatinine ratio of less than 30 µg/mg, microalbuminuria of 30 to 299 µg/mg, albuminuria of more than 300 µg/mg were regarded as normal for nephropathy, or 'no records' if they had no records. Renal complications were analyzed based on 8-hour, 24-hour microalbuminuria, albumin creatinine ratio, and medical records. The patients were assumed to have neurological complications if they were taking neuropathy medications or if they had previously been diagnosed with neurological complications, even if they were not diagnosed with any. They patients were assumed to have been educated for diabetes only if they had paid for and received one at a relevant center that provides the education at a fee; this was because the records of diabetes education from other centers were often missing and it is difficult to assess how well the patients were educated due to the varying standards of education from different centers. The patients were assumed to have other associated diseases only if any appeared in the medical records. In case of hypertension and dyslipidemia, the patients were assumed to have these disease if they were on antihypertensive or dyslipidemia drugs regardless of their diagnosis. All types of cancer were recorded. Fatty liver and liver cirrhosis were included in liver diseases, and both hyperthyroidism and hypothyroidism were included in thyroid diseases. The patients were analyzed after classifying them according to their diabetes treatment methods into diet therapy, insulin only, and combined insulin and oral hypoglycemic agent treatment, and drug history was investigated according to the patients' usage of hypotensive, cholesterol-lowering agent, and anticoagulant drugs.

Blood glucose, blood pressure, and blood lipid modulation statuses were measured to assess the extent of metabolism control. The target value for adjustment was set as: <6.5% HbA1c, <130/80 mm Hg blood pressure, <100 mg/dL low density lipoprotein cholesterol (LDL-C), ≥50 and ≥40 mg/dL cholesterol in men and women respectively, and <150 mg/dL triglyceride as per the Korean Diabetes Association guidelines.

Statistical analysis

Statistical analyses were performed using the SPSS version 18.0 (SPSS Inc., Chicago, IL, USA) with P values less than 0.05 being considered to have statistical significance. The frequency and percentage or the mean and standard deviation were obtained for all results. The general characteristics, the time of onset of diabetes, duration, blood glucose, blood pressure, and blood lipid levels that could differ depending on gender were analyzed by t-test. Family history, treatment method, experience of diabetes education, associated diseases, and complications that differed according to gender were analyzed by chi-square test.

RESULTS

The general characteristics of subjects

The total of 2,610 study subjects consisted of 1,460 males (55.9%) and 1,150 females (44.1%). The average age was 61 years with 62.7 for females and 59.7 for males. The average body mass index (BMI) was 25 kg/m² with 25.2 kg/m² for females which was higher than the 24.9 kg/m² of males (P=0.012). The average age at diagnosis of diabetes was 50.1±11.1 years, with the average female age (51.5 years) being higher than that of males (49 years). The duration was on average 10.7 years. In terms of family history, 955 patients (36.7%) had no records, and of the 1,646 whose record was available, 50.5% did have family history with no differences according to gender. For the treatment of diabetes, 71.6% only took oral hypoglycemic drugs, 17.3% took both oral hypoglycemic drugs and insulin, and 6.6% only took insulin; there were no differences according to gender. Of all subjects, 53.0% received education with a fee, and there were no differences in education frequency between males and females (Table 1).

Associated diseases and diabetes complications

Of the study subjects, 59.2% had hypertension with a higher proportion in males compared with females but with no statistical significance. For dyslipidemia, 65.5% of subjects were suffering from this disease, where the females had a higher proportion with 69.7% compared with 62.4% in males (P<0.001). The percentage of patients who had liver diseases was 18.3% with a higher proportion in females compared with males (P<0.001). The prevalence of tuberculosis and thyroid diseases were both 3.9%, with a higher prevalence in males for tuberculosis (P<0.001) but vice versa for thyroid diseases (P<0.001). Cancer was recorded in 8.9% of subjects consisting of 10.2% of males which was higher than the 7.2% of females (P=0.009) (Table 2).

Diabetic retinopathy was present in 31.6% (641 patients) of the 2,030 who had medical records with no differences between males and females. Microalbuminuria test was performed in 73.3% (1,914 patients), and diabetic nephropathy was present in 28.1% (665 patients) of 2,363 patients with a higher percentage in males compared with females (29.9% and 25.9%, respectively; P=0.033). Microalbuminuria and macroalbuminuria was present in 18.7% and 11.2% of males and in 17.7% and 8.2% of females, respectively. Diabetic neuropathy was recorded in 19.9% of patients but there were no differences between males and females. Cerebrovascular diseases and cardiovascular diseases were present in 10.5% and 18.7% of patients, respectively, and a higher ratio of females had cardiovascular diseases compared with males (P=0.015) (Table 2).

Level of metabolism control

Medical record of systolic blood pressure was available for 2,587 patients showing an average of 125.4 mm Hg with a better regulation in females than males (P=0.026); both groups were being well controlled and within the normal range. HbA1c was tested in 99.8% of patients (2,606 patients) which showed that the average HbA1c was 7.3%±1.3% with no differences according to gender. Medical records of fasting glucose and 2-hour postprandial glucose were available for 2,223 patients (85.2%) and 1,744 patients (66.8%), respectively. The average fasting glucose was 137.2±45.0 mg/dL with no differences between males and females, and the average 2-hour postprandial glucose was 193.6±73.3 mg/dL with a higher ratio in males than females (198.0±71.5 and 187.9±75.1 mg/dL for males and females, respectively; P=0.004).

The average total cholesterol was 163.3±36.5 mg/dL with a higher ratio in females (159.4±36.7 and 168.3±35.6 mg/dL in males and females, respectively; P=0.001), and the average triglyceride was 139.9±90.9 mg/dL with a higher ratio in males than females (144.9±103.4 and 133.4±70.9 mg/dL in males and females, respectively; P<0.002), The average high density lipoprotein cholesterol (HDL-C) was 49.5±14.2 mg/dL with a higher ratio in females (47.7±13.9 and 52.0±14.3 mg/dL for males and females, respectively; P<0.001), and the average LDL-C was 92.7±38.2 mg/dL which also had a higher ratio in females (90.5±30.7 and 95.6±46.1 mg/dL for males and females, respectively; P=0.002) (Table 3).

Target achievement rate

The success rate of achieving the targets of <130/80 mm Hg, <7.0% HbA1c, and <6.5% HbA1c were 49.9%, 45.8%, and 24.8%, respectively. Reducing fasting glucose to <130 mg/dL and 2-hour postprandial glucose to <180 mg/dL was achieved in 51.5% and 48.6%, respectively. Total cholesterol and triglyceride was reduced to <200 and <150 mg/dL by 84.8% and 68.3%, respectively. Of all subjects, 68.3% maintained their HDL-C level to ≥40 mg/dL for males and ≥50 mg/dL for females, and 63.6% maintained their LDL-C to <100 mg/dL. The percentage of subjects with 18.5 to 24.9 kg/m² BMI which is the normal range was 51.8% with no differences between males and females. Of all subjects, 14.5% (13.8% and 15.4% for males and females, respectively) reached all three target levels for blood glucose, blood pressure, and lipid level with no differences between males and females. The percentage of patients who successfully maintained all of blood glucose, blood pressure, lipid level, and weight management target levels was 7.8% (8.0% and 7.5% for males and females, respectively) with no differences between males and females (Fig. 1).

DISCUSSION

This study investigated the status of diabetes management in 2,610 outpatients with type 2 diabetes from 13 tertiary hospitals in Korea based on the guidelines provided by the Korean Diabetes Association.

Only 364 patients (14.5%; 13.8% of males and 15.4% of females) managed to reach the target values for blood pressure, blood glucose, and lipid level. Although this is higher than the averages of Asia (4.7%), developing countries (3.6%), and Europe (7.5%), it is lower than that of the United States (18.8%). Furthermore, the percentage of patients who succeeded in managing their blood pressure, blood glucose, lipid level, and weight was 7.8% (8.0% of males and 7.5% of females), which is lower than the average of Western countries despite the relatively lower rate of obesity, showing the necessity of a more active diabetes management. We also believe that this may be related to the fact that the people with abdominal obesity are more likely to have type 2 diabetes in Asia than in Western countries despite the lower BMI [26].

The average HbA1c level in this study was 7.3%±1.3% without significant differences between gender, and 45.8% successfully regulated their HbA1c level to <7.0%. This percentage is higher than the 32.8% and 30.9% of the data from the Korean National Health and Nutrition Examination Surveys (KNHANES) and Health Insurance Data from 1998 and 2005, respectively, and it was also higher than the 30.9% and 36.7% of the study conducted in secondary and tertiary hospitals in 2001 and 2006, respectively [293032]. However, although the blood glucose control rate is higher than the average of the developing countries such as China, Eastern Europe, Asia, and Latin America, it remains lower than the United States, Europe, and Japan [3334].

The prevalence of hypertension was 59.2% without significant differences between gender, and the rate of controlling blood pressure to <130/80 mm Hg was 49.9%, which is higher than the 36.4% of the average of developing countries, 15.8% to 37% higher than the KNHANES, and similar to 51.1% of the United States. Moreover, it was similar to the 43.2% and 66.3% from a study based on Korean tertiary hospitals [263132353637].

The prevalence of dyslipidemia was 65.5% with a significantly higher prevalence in females compared with males. This percentage is far higher than the 14.1% from the National Health and Nutrition Survey performed in 2010, and also the prevalence of dyslipidemia in diabetic patients was higher compared with the 30% to 50% of other studies [293036]. We speculate this difference to be due to the average age of 61 years in this study which is higher than previous studies. The rate of controlling LDL-C to <100 mg/dL was 63.6%, which is higher than 25% to 50% of multiple other domestic and international studies [293136]. The lower rate of reaching the target for dyslipidemia in females evidences the sharp changes in female hormone after menopause, suggesting that dyslipidemia, a major cause for diabetes complications, should be thoroughly managed.

The reason for the high control rate of blood pressure and LDL-C, despite the high average age and time from diagnosis of diabetes, is speculated to be due to the relatively high proportion of cardiovascular and cerebrovascular disease patients and the improved ability to adjust blood pressure and lipid level compared with the past. Nonetheless, since the major cause of death in diabetic patients is cardiovascular complications, a more thorough control of blood pressure and blood lipid is required.

The average BMI in this study was 25.2±3.3 kg/m² with a higher average in females compared with males, and this was similar to the 25.2 kg/m² of diabetic patients in the National Health and Nutrition Survey in 2010 and the 25.0 kg/m² of the article published by Lim et al. [30], and lower than Europe or the United States [29303839].

The prevalence of retinal complications was 31.6% which is lower than the domestic tertiary hospitals, and the prevalence of renal complications was 28.1% which is similar to the 20% to 30% of previously reported studies. The prevalence of neural complications was 19.9% which is lower than a previous study which reported a prevalence of around 45% but higher than the 16.9% reported by tertiary hospitals. Except for retinal complications, these prevalences are lower than the averages of developing countries or Asia, while it is similar in part to the 24.5% prevalence of microvascular complications in Europe. We believe that the differences in the prevalence of neural complications, even between other domestic studies, is because of the wide variety of methods to diagnose neural complications and because of the improper diagnosis by several clinicians [2630313640].

The prevalence of cardiovascular complications was 18.7% with no differences between gender, while that of cerebrovascular complications was 10.5% with a higher prevalence in males than females. In this study, postprandial glucose, systolic blood pressure, and triglyceride level were higher in males than females; although these differences could have led to the higher prevalence of cerebrovascular complications, we cannot be certain since no differences were observed in the rate of cardiovascular complications. The prevalence of cardiovascular and cerebrovascular diseases was higher than other domestic studies and the Asian average. This may be related to the average age and time from diagnosis of diabetes of our study subjects since the prevalence of macrovascular complications increases over time after getting diabetes [2630313639].

As a method for treating diabetes, 71.6% only used oral hypoglycemic agents, similarly to previous domestic studies [145], 17.3% combined the usage of oral hypoglycemic agents and insulin, and 23.9% received insulin treatment which is similar to the 24.1% of studies by domestic tertiary hospitals and 15% to 25% of Europe but lower than the 30% of the United States. However, 6.6% only used insulin which higher than the 4.1% from the National Health and Nutrition Survey in 2005. This may be because this study was performed in a tertiary hospital and also related with the average age and time from diagnosis of diabetes of our study subjects [2931363839].

Considering the speed at which the number of elderly population is increasing and that the age at which diabetes occurred was 50 years in our study, it is probable that the disease period of diabetes will also increase along with diabetes-related complications and become a social burden; hence, a more active treatment to control metabolism is required.

The percentage of subjects who received education regarding diabetes at a cost was 53.0% which is similar to the 54.6% of the United States. However, this is higher than the national average of 40%; this difference is likely due to the fact that this study was conducted in tertiary hospitals within Seoul and Gyeonggi region. Nonetheless, further work should investigate the reason why sufficient education is not taking place even in hospitals with diabetes specialists. In this study, the level of education had no correlation with blood glucose control; we believe that this is because diabetes education only takes place once and blood glucose is managed without any further education for the rest of a patient's life. This shows the necessity of additional regular diabetes educations considering the characteristics of diabetes and the average time that a patient suffers from diabetes.

Since our data was collected from only 13 different tertiary hospitals within Seoul and Gyeonggi region, it is difficult to announce that this represents the general management status of patients with type 2 diabetes. Therefore a further study with a larger cohort including diabetic patients from different medical centers over the country is needed and further continuous education and management is also required to keep blood glucose, blood pressure, lipid level, and weight within the target range. Hence caution is advised to prevent exaggerating the results of this study and generalizing it. A repeat study with prognostic data collection method is needed.

In conclusion, the least well-managed between blood pressure, blood glucose, lipid level, and weight was blood glucose with more than 50% of subjects failing to reach the target. This represents the difficulty that patients are experiencing in regulating blood glucose which is the fundamental to diabetes management and shows that it requires more effort by the patients than hypertension and dyslipidemia which can be controlled by medication. Our results again stress the importance of diabetes education.

Acknowledgements

ACKNOWLEDGMENTS

This study was supported by a grant (K.H.S., 2012) from the Korean Diabetes Association.

NOTES

CONFLICTS OF INTEREST: No potential conflict of interest relevant to this article was reported.

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Fig. 1

Achieving rate in metabolic targets. Four metabolic target achievement: HbA1c <7.0%, Blood pressure <130/80 mm Hg, LDL-C <100 mg/dL, BMI 18.5 to 24.9 kg/m². HbA1c, glycosylated hemoglobin; HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol; BMI, body mass index.

Table 1

Clinical and disease-related characteristics

Characteristic	Total	Men	Women	P value
Number, %	2,610	1,460 (55.9)	1,150 (44.1)
Age, yr (n=2,609)	61.0±11.6	59.7±11.3	62.7±11.7	<0.001
Height, cm (n=2,435)	162.6±8.9	168.6±6.1	155.2±5.7	<0.001
Weight, kg (n=2,567)	66.6±11.3	71.1±10.6	60.9±9.5	<0.001
Body mass index, kg/m2 (n=2,423)	25.0±3.3	24.9±3.07	25.2±3.6	0.012
Diabetes mellitus onset, yr (n=2,398)	50.1±11.1	49.0±10.7	51.5±11.5	<0.001
Duration of diabetes, yr (n=2,398)	10.7±7.9	10.4±8.0	11.1±7.8	0.034
Family history of diabetes (n=1,646)	832 (50.5)	457 (49.7)	375 (51.5)	0.455a
Therapy of diabetes (n=2,597)				0.425a
Diet	116 (4.5)	69 (4.7)	47 (4.1)
Oral agent	1,860 (71.6)	1,052 (72.4)	808 (70.6)
Oral agent+insulin	448 (17.3)	237 (16.3)	212 (18.4)
Insulin	173 (6.6)	95 (6.5)	78 (6.8)
Education experience (n=2,609)	1,382 (53.0)	764 (52.3)	618 (53.8)	0.459a

Values are presented as number (%) or mean±standard deviation.

^aP value from chi-square test.

Table 2

Comorbid diseases and diabetic complications (n=2,610)

Variable	Total	Men	Women	P valuea
Hypertension (n=2,606)	1,544 (59.2)	868 (59.3)	679 (59.1)	0.925
Dyslipidemia (n=2,605)	1,709 (65.5)	910 (62.4)	799 (69.7)	<0.001
Liver disease (n=2,604)	477 (18.3)	312 (21.4)	165 (14.4)	<0.001
Tuberculosis (n=2,602)	101 (3.9)	74 (5.1)	27 (2.4)	<0.001
Thyroid disorder (n=2,602)	101 (3.9)	55 (3.8)	111 (9.7)	<0.001
Cancer (n=2,603)	231 (8.9)	148 (10.2)	83 (7.2)	0.009
Retinopathy (n=2,030)	641 (31.6)	353 (31.2)	288 (32.1)	0.669
Nephropathy (n=2,363)	665 (28.1)	396 (29.9)	269 (25.9)	0.033
Neuropathy (n=2,583)	513 (19.9)	272 (18.8)	241 (21.2)	0.142
Cerebrovascular disease (n=2,592)	273 (10.5)	160 (11.0)	113 (9.9)	0.355
Cardiovascular disease (n=2,596)	485 (18.7)	295 (20.3)	190 (16.6)	0.015

Values are presented as number (%).

^aP value from chi-square test.

Table 3

Current level of metabolic parameters (n=2,610)

Variable	Total	Men	Women	P value
Systolic blood pressure, mm Hg (n=2,587)	125.4±14.7	125.9±14.3	124.6±15.1	0.026
Diastolic blood pressure, mm Hg (n=2,587)	74.4±10.1	75.9±10.2	72.5±9.7	<0.001
Glycosylated hemoglobin, % (n=2,606)	7.3±1.3	7.3±1.3	7.3±1.3	0.451
Fasting glucose, mg/dL (n=2,223)	137.2±45.0	138.4±45.4	135.5±44.4	0.143
Postprandial glucose, mg/dL (n=1,744)	193.6±73.3	198.0±71.5	187.9±75.1	0.004
Total cholesterol, mg/dL (n=2,380)	163.2±36.5	159.4±36.7	168.3±35.6	<0.001
Triglyceride, mg/dL (n=2,357)	139.9±90.9	144.9±103.4	133.4±70.9	0.002
HDL-C, mg/dL (n=2,347)	49.5±14.2	47.7±13.9	52.0±14.3	<0.001
LDL-C, mg/dL (n=2,229)	92.7±38.2	90.5±30.7	95.6±46.1	0.002

Values are presented as mean±standard deviation.

HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol.

Figure & Data

References

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