Relationship between prehypertension and chronic kidney disease in middle-aged people in Korea: the Korean genome and epidemiology study
© Kim et al.; licensee BioMed Central Ltd. 2012
Received: 15 February 2012
Accepted: 25 October 2012
Published: 9 November 2012
Elevated blood pressure (BP) is a major risk factor for the progression of chronic kidney disease (CKD). However, little is known about the influence of prehypertension on CKD. In this study, we investigated the relationship between prehypertension and CKD in a middle-aged Korean population. Furthermore, we prospectively evaluated the effect of active BP control on deterioration of kidney function during the two-year follow-up.
The Korean Genome and Epidemiology Study is a community-based prospective cohort study started in 2001, with a follow-up survey conducted every two years. A total of 9509 participants aged 40–69 years were included in a baseline study. BP was classified according to the Seventh Report of the Joint National Committee on High BP (JNC-7) categories and CKD was defined as the presence of proteinuria or eGFR< 60mL/min/1.73m2. A multivariable logistic regression model was used to identify associations between BP and CKD.
The overall prevalence of CKD was 13.2%, and significantly increased with BP level. The multivariable-adjusted odds ratio of CKD was 1.59 for prehypertension and 2.27 for hypertension, compared with a normal BP. At the two-year follow-up, among the participants with prehypertension, subjects whose BP was poorly controlled had a significantly higher risk of eGFR drop (OR, 1.37; 95% CI, 1.13-1.67), as compared to controls. The prevalence of eGFR drop was 57.8% in the controlled BP group and 66.0% in the poorly-controlled BP group.
Prehypertension, as well as hypertension, is significantly associated with CKD among middle-aged Koreans. Our results indicate that active control of the blood-pressure of prehypertensive individuals is needed to prevent deterioration of kidney function.
KeywordsBlood pressure Chronic kidney disease Prehypertension Estimated glomerular filtration rate
The prevalence of CKD in the United States has increased from 10.0% in 1988–1994 to 13.1% in 1999–2004 . In a population-based cross-sectional epidemiologic study in Korea, the prevalences of CKD and decreased kidney function were 13.7% and 5.0%, respectively . According to the Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines, CKD is defined as a marker of kidney damage and/or glomerular filtration rate (GFR) < 60 mL/min/1.73 m2 for at least three months; in addition, GFR is usually estimated from serum creatinine (Scr) values alone or prediction equations that take into account the Scr, age, gender and race . Therefore, use of estimated glomerular filtration rate (eGFR) is commonly recommended to screen patients with CKD [8, 9]. Furthermore, management of high risk patients who have hypertension and diabetes is particularly important [8, 9].
Elevated blood pressure (BP) is closely associated with CKD progression, and lowering of BP may slow down GFR decline [10, 11]. A number of studies have reported that hypertension is involved in CKD, emphasizing the importance of BP control in improving kidney function [12–14]. Both Kidney Early Evaluation Program (KEEP) and National Health and Nutrition Examination Survey (NHANES) data showed a strong association between hypertension and kidney disease . The Seventh Report of the Joint National Committee on High BP (JNC-7) suggests controlling BP at <130/80 mmHg in patients with CKD . Recently, a population-based, cross-sectional study from Singapore demonstrated that BP is independently associated with CKD, and that poorly controlled hypertension has a significantly stronger relationship with kidney damage than treated, controlled hypertension . In addition, Higashikuni et al. found that a BP above 110/75 mmHg was significantly associated with albuminuria in a Japanese population without hypertension, but not with eGFR .
Although several studies have suggested that hypertension is a significant risk factor for CKD, little is known of its association with prehypertension and CKD. In this study, we investigated the relationship between prehypertension and CKD in a middle-aged Korean population. To determine the effect of BP control on deterioration of kidney function, we prospectively evaluated eGFR drop according to the change of BP during the two-year follow-up.
Measurement of BP
Measurement of BP was performed after a 5 min period of rest using a mercury sphygmomanometer, and two BP readings were taken from both arms at 30 s intervals. The average systolic and diastolic BP values of two measurements taken in a sitting position were recorded.
BP was classified according to the Seventh Report of the Joint National Committee on High BP (JNC-7) categories ; normal BP (<120 mm Hg systolic and <80 mm Hg diastolic); prehypertension (120 to 139 mm Hg systolic or 80 to 89 mm Hg diastolic); hypertension (≥ 140 mm Hg systolic or ≥ 90 mm Hg diastolic systolic or use of antihypertensive medication).
Controlled BP was defined as participants who maintained a normal BP, and poorly-controlled BP as those with prehypertension or hypertension at the two-year follow-up.
Demographic, medical and behavioral characteristics were obtained using a standardized questionnaire, and included age, sex, cigarette smoking and alcohol intake.
Body weight and height were measured to the nearest 0.1 kg or 0.1 cm and body mass index (BMI) was calculated as body weight (kg) divided by height (meters) squared. Waist circumference (WC) was measured at the midpoint between the ribs and the iliac crest in the standing position.
Blood samples were collected after an 8–14 h fast. Fasting plasma glucose (FPG), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and Scr levels were measured enzymatically, and low-density lipoprotein cholesterol (LDL-C) levels were estimated by the Friedwald formula . Proteinuria tested by the dipstick method was defined as 1 + or more.
Definitions of CKD and diabetes mellitus (DM)
According to the Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines, CKD is defined as a marker of kidney damage and/or GFR < 60 mL/min/1.73 m2 for at least three months . We defined CKD as the presence of proteinuria or eGFR < 60 mL/min/1.73 m2. CKD stages were classified as follows: stage 1, proteinuria (≥ 1 +) with eGFR ≥ 90 mL/min/1.73 m2; stage 2, proteinuria (≥1 +) with eGFR 60–89 mL/min/1.73 m2; stage 3, eGFR 30–59 mL/min/1.73 m2, and stage 4, eGFR 15–29 mL/min/1.73m2. eGFR was calculated using the following equation : eGFR = 186.3 × (Scr in mg/dL)-1.154 × Age- 0.203 × (0.742 if female). Changes in kidney function were evaluated using baseline and two-year follow-up eGFR values. eGFR drop denotes a decline in eGFR between baseline and the two-year follow-up.
DM was diagnosed as an FPG ≥126 mg/dl or 2-h post-challenge plasma glucose (2 h PG) ≥200 mg/dl or hemoglobin A1C (HbA1C) ≥6.5%, or use of oral hypoglycemic agents using the 2010 criteria of the American Diabetes Association (ADA) .
The baseline characteristics of subjects were expressed as means and standard deviations for continuous variables. Statistical differences between groups were performed by one-way analysis of variance (ANOVA) for continuous variables and the chi-square test for categorical variables. A multivariable logistic regression model was used to identify associations between BP and CKD. C-statistics were calculated to compare the ability of different logistic models to discriminate participants with and without CKD. After two-year follow-up, the odds ratio of eGFR drop according to BP change was calculated by multivariable logistic regression analysis. Values of P <0.05 were considered to be statistically significant. The data were analyzed using the SAS software (version 9.2; SAS Institute, Cary, North Carolina).
Mean values of baseline characteristics according to BP category
Normal BP (n=3792)
52.1 ± 8.9
49.0 ± 7.9
52.8 ± 8.8
56.9 ± 8.2
24.6 ± 3.1
23.8 ± 2.9
24.7 ± 3.1
25.8 ± 3.3
82.6 ± 8.8
79.5 ± 8.2
83.6 ± 8.4
86.7 ± 8.5
121.3 ± 18.4
105.5 ± 8.2
125.9 ± 9.9
144.4 ± 17.6
80.3 ± 11.4
70.2 ± 6.0
84.2 ± 6.5
92.7 ± 10.7
87.3 ± 21.4
84.7 ± 19.1
88.1 ± 21.3
91.3 ± 25.3
191.5 ± 35.7
186.6 ± 34.1
193.2 ± 35.7
198.3 ± 37.3
44.8 ± 10.1
45.3 ± 9.9
44.7 ± 10.1
43.9 ± 10.3
114.6 ± 33.6
113.2 ± 31.5
114.6 ± 34.2
117.4 ± 36.0
161.0 ± 103.0
140.5 ± 89.9
169.9 ± 109.9
184.7 ± 105.3
1.00 ± 0.10
0.99 ± 0.10
1.00 ± 0.11
1.00 ± 0.20
eGFR (mL/min/1.73 m 2)
74.0 ± 14.0
73.9 ± 14.0
75.2 ± 13.8
71.6 ± 13.9
Prevalence of CKD
Prevalence of CKD according to BP category
Normal BP (n=3792)
Stages 1 and 2
Stages 1 and 2
Stages 1 and 2
Results of multivariable logistic regression analysis of CKD
Unadjusted and multivariable-adjusted odds ratio (OR) and c statistics of CKD according to BP category
Unadjusted OR (95% CI)
Model 1 OR (95% CI)
Model 2 OR (95% CI)
Model 3 OR (95% CI)
Odds ratio for eGFR drop during the two-year follow-up
Unadjusted and multivariable-adjusted odds ratio (OR) for eGFR drop according to change in BP
BP change after 2 years
No. at risk
No. with eGFR drop (%)a
Unadjusted OR (95% CI)
Model 1 OR (95% CI)
Model 2 OR (95% CI)
Model 3 OR (95% CI)
Controlled BP b
Poorly-controlled BP c
Controlled BP b
Poorly-controlled BP c
The purpose of this study was to examine the relationship between BP and CKD in a middle-aged Korean population. We found a strong and independent association between prehypertension, as well as hypertension, and CKD. Our data also indicated that the risk of eGFR drop at the two-year follow-up was significantly greater when BP was poorly-controlled. The risk increased beginning with prehypertensive participants.
In this study of 9509 Koreans aged 40–69 years, the prevalence of CKD was 13.2%, similar to the results of an epidemiologic study in urban Korea, which reported an overall CKD prevalence of 13.7% . The prevalence of CKD was greater in females than in males (3.5% in males and 22.2% in females) as in other Korean population studies . This discrepancy may be possibly explained by the increased filtration fraction in men, which may contribute to maintain the GFR [23, 24].
In addition, results from NHANES 1999–2004 in the United States indicated that the prevalence of CKD stages 1 to 4 was 13.1% . Among Australian adults aged 25 years or older, approximately 16% had at least one indicator of kidney damage . The prevalence of CKD differs among ethnic groups, and the Asian population had a relatively high prevalence . It is estimated that, in Japan, approximately 19% of the adult population has stages 3 to 5 CKD , and the prevalence of CKD in Beijing was 12.9% . Furthermore, in the NHANES 1999–2006 in the US, 17.3% and 22.0% of those with prehypertension and undiagnosed hypertension, respectively, had CKD as determined by eGFR or albuminuria .
We used the MDRD equation to estimate GFR because it has been widely used in epidemiologic studies and clinical practice. When eGFR was calculated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation , the mean eGFR and prevalence of CKD was similar to our results [see Additional file 1, Additional file 2. In addition, when we applied the equations for Korean population , the mean eGFR differed from those by the MDRD equation and the prevalence of CKD was lower than in our results, especially in females [see Additional file 1, Additional file 3, Additional file 4. However, the equations for Korean population may need to be evaluated its validity in a variety of population with larger sample size.
We found that CKD prevalence increased with BP level; normotensive subjects showed the lowest prevalence and hypertensive subjects the highest (6.6, 13.3 and 26.6% for normal BP, prehypertension and hypertension, respectively).
Hypertension is a well-known risk factor for CKD progression [12–14]. However, the influence of BP on CKD in the general population in Korea has not been thoroughly evaluated. In addition, whether prehypertension has an effect on CKD remains controversial. In this study, we focused particularly on the risk of CKD in prehypertensive subjects.
Several cohort studies provided strong epidemiologic evidence regarding the risk of ESRD across the BP categories. Our results were consistent with those of an earlier study, which reported that the risk of ESRD was increased even with normal but not optimal and high-normal levels, as well as hypertension [32, 33]. In our data, a multiple logistic regression analysis indicated that prehypertensive and hypertensive participants had a ~1.6 and ~2.3 times increased risk of CKD. Moreover, studies from the Asia-Pacific region reported that high BP was the strongest risk factor (>80% greater) for renal death, indicating the importance of risk factors for CKD in Asia . Recent studies of the combined effect of prehypertension and obesity on CKD risk showed that prehypertensive and obese subjects were at increased risk of CKD [35, 36].
Our follow-up results showed that subjects with poorly-controlled BP were more likely to have a decreased eGFR compared with those with controlled BP. The risk of eGFR drop was significantly increased among the poorly-controlled BP group in all, and prehypertensive participants (Table 4). These findings support the JNC-7 recommendation: a reduction in BP to <130/80 mmHg for CKD patients to prevent cardiovascular disease outcomes . The MDRD trial demonstrated a beneficial effect of BP control on progression of chronic kidney disease; this may support our findings. In a long-term follow-up of participants with a moderately- to severely-decreased GFR, as compared to baseline, those with a reduced target BP had a delayed onset of kidney failure and the composite outcome, as compared with the usual-target group . Also, effective control of BP using antihypertensive agents such as angiotensin-converting enzyme inhibitors (ACEI), reduced proteinuria and ameliorated GFR .
Interestingly, the risk of CKD significantly increased in prehypertensive subjects, and those with poorly controlled BP had a higher risk of eGFR drop at the two-year follow-up. That is, the increased CKD risk begins at a near-normal BP; therefore, those individuals may be considered for active BP control to reduce the burden of kidney disease.
The strength of this study was that it was a prospective community-based cohort study which evaluated the association between BP and CKD across the range of BP.
However, there were also some limitations to this study. First, the study population consisted only of those aged 40–69 years. Nevertheless, our results may be representative of the general population in Korea because the data were from a community-based prospective cohort study, which may have minimized the sampling bias effect. Second, Scr and proteinuria were measured only once. According to the K/DOQI guidelines, CKD is defined as a GFR <60 mL/min/1.73 m2 or kidney damage for at least three months; therefore, Scr and proteinuria should be evaluated more than once. Thus, there might be an underestimation or overestimation of the prevalence of CKD in both males and females. Third, the MDRD equation has not been validated in the Korean population. Therefore, eGFR calculation using the MDRD equation might be inaccurate. Fourth, each participant’s BP measurement was based on only two readings of a single day. Also, we only evaluated in a state of BP control with BP values and self-reported medication at a baseline and 2-year follow-up. Therefore, the misclassification of BP may be possible and it might be underestimated or overestimated the prevalence of controlled BP and poorly-controlled BP.
Prehypertension, as well as hypertension, is significantly associated with CKD among middle-aged Koreans. Our results indicate that active control of the blood-pressure of prehypertensive individuals is necessary to prevent deterioration in kidney function. Therefore, we suggest that active blood-pressure control may play an important role in prevention of CKD.
Chronic Kidney Disease
End-Stage Renal Disease
Kidney Disease Outcomes Quality Initiative
Estimated Glomerular Filtration Rate
Kidney Early Evaluation Program
National Health and Nutrition Examination Survey
Body Mass Index
Fasting Plasma Glucose
High-Density Lipoprotein Cholesterol
Low-Density Lipoprotein Cholesterol
- 2 h PG:
2-h Post-challenge plasma Glucose
- HbA1C :
American Diabetes Association
One-way Analysis Of Variance
Modification of Diet in Renal Disease
Systolic Blood Pressure
Diastolic Blood Pressure.
This work was supported by a grant from the Korea National Institute of Health intramural research, No. 4800-4845-302-210 (2010-N63001-00).
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