NDT Advance Access published online on May 1, 2008
Nephrology Dialysis Transplantation, doi:10.1093/ndt/gfn222
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Increased risk of mortality in the elderly population with late-stage chronic kidney disease: a cohort study in Taiwan
1 Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University 2 Faculty of Renal Care, Kaohsiung Medical University 3 Department of Nursing, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan 4 Division of Nephrology, Department of Medicine, Veterans General Hospital Taipei and School of Medicine, National Yang-Ming University 5 Center for Health Policy Research and Development, National Health Research Institutes, Zuhnan 6 Institute of Healthcare Administration, Kaohsiung Medical University, Kaohsiung, Taiwan 7 Chronic Disease Research Group, Minneapolis Medical Research Foundation, Minneapolis, Minnesota, USA
Correspondence and offprint requests to: Lih-Wen Mau, Ph.D., Chronic Disease Research Group, Minneapolis Medical Research Foundation, 914 South 8th Street, Suite S-428, Minneapolis, MN 55404, USA. Tel: +1-612-347-5220; Fax: +1-612-347-5980. E-mail: Lmau{at}cdrg.org
| Abstract |
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Background. Taiwan has the world's highest incidence and second highest prevalence of end-stage renal disease (ESRD), particularly in older age groups. However, the transition from chronic kidney disease (CKD) to death or ESRD remains unclear. This study aimed to investigate the impact of late-stage CKD on all-cause and cause-specific mortality by identifying the CKD population.
Methods. This was an observational cohort study (n = 35 529), mean age 75.7 years (SD = 5.3), of participants in the Elderly Health Examination Program (EHEP) in Kaohsiung City, Taiwan, between 2002 and 2004. Estimated glomerular filtration rate (eGFR) was calculated by the simplified modified diet in renal disease equation. Proportional hazard ratios (HR) of mortality associated with late-stage CKD were assessed by Cox regression.
Results. The crude prevalence rate of CKD stages 3–5 was 39.4%; 1840 participants (5.18%) died within 2-year follow-up, a mortality rate of 20.3 per 1000 person-years overall and 16.4 per 1000 person-years in the reference group. Higher HR for all-cause and cause-specific mortality were found in the groups with decreased eGFR. Compared with the reference group (eGFR > 60 mL/min/1.73 m2), adjusted HR for all-cause mortality were 1.5, 2.1 and 2.6 for groups with eGFR 30–44, 15–29 and < 15 mL/min/ 1.73 m2, respectively (P < 0.001). Higher HR of mortality due to cardiovascular or renal diseases were also significantly associated with decreased eGFR (P < 0.05).
Conclusion. Late-stage CKD is a significant risk factor for mortality, especially due to cardiovascular and renal diseases, in elderly Taiwanese. Given the higher prevalence rate of late-stage CKD in the study area, CKD patient mortality was relatively lower, which might reflect underestimation of renal function for patients at early stages of CKD, or partly explain the high ESRD population.
Keywords: chronic kidney disease; elderly population; epidemiology and outcomes; glomerular filtration rate; mortality risk
| Introduction |
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The growth of end-stage renal disease (ESRD) populations worldwide has been a concern for many countries, as ESRD consumes increasing proportions of health care budgets [1]. In Taiwan, the incidence and prevalence of ESRD are among the highest in the world. The ESRD population, 0.15% of the total population, spends 7% of the total annual budget for the National Health Insurance (NHI) Program on dialysis in Taiwan [2]. The burden of ESRD also increases with the growth of the elderly population. The chronic kidney disease (CKD) prevalence was
11% to 14% in the USA, with 75% of the CKD population aged 65 years and older, and that segment of the population growing [3,4]. Taiwan is one of the rapidly ageing countries in the world. The population aged 65 years and older was >7% of the total population (World Health Organization definition of an ageing country) in 1993, reached 9.01% in 2002, and increases at a rate of 0.2% annually [5]. This increasing elderly population may contribute to Taiwan's high incidence and prevalence of ESRD in age groups 65–75 years and 76 years and older [4]. However, whether the high incidence and prevalence of ESRD in the elderly population are due to the high prevalence of advanced CKD or lower death rates of CKD patients is still unknown.
Based on data from the Taiwanese Survey on Blood Sugar, Lipid, and Pressure (TW3H), in 2002, Yang and colleagues reported a point prevalence of 6.43% for CKD stages 3–5 in the general population aged 16 years and older in Taiwan; the prevalence of late CKD among those aged 65 years and older reached 30% [6,7]. Both rates are higher than the corresponding CKD prevalence in the USA. The Third National Health and Nutrition Examination Survey estimated the prevalence of all-stage CKD in US adults at 10.9%, and 4.6% for stages 3–5. The prevalence of moderate or severe CKD was estimated at 25% for Americans older than 70 years [8].
Only a small proportion of elderly CKD patients progress to ESRD; many more die before reaching the end stage [9–16]. The aims of this study were to examine the prevalence of late-stage CKD in a community-dwelling elderly population, and the association of late-stage CKD with all-cause and cause-specific mortality. We tested the hypothesis that risk of mortality in the elderly population increases with late-stage CKD.
| Subjects and methods |
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Study design and population
The study design was a retrospective cohort study in Kaohsiung City in southern Taiwan. Kaohsiung City is the second largest metropolitan area in Taiwan, with a total population of 1.51 million, with 7.63% aged older than 65 years in 2002 [5] and the highest incidence and prevalence of ESRD in the country. The study cohort comprised residents aged 65 years or older dwelling in Kaohsiung City who participated in the Elderly Health Examination Program (EHEP) in 2002 and continuously through 2004. EHEP is a free annual physical examination program, which originated as a social service program in Kaohsiung City in 1983. After implementation of Taiwan's NHI Program in 1995, EHEP expenses have been shared by the Health Department of Kaohsiung City and the NHI program.
At baseline 36 983 elderly subjects participated in EHEP in 2002. Participants with missing data for the estimation of glomerular filtration rate (GFR) (n = 1428) or who began renal replacement therapy treatments before the examination date (n = 26) were excluded. A cohort including 35 529 elderly participants (
30.8% of the elderly population in Kaohsiung City) was established in 2002 and followed through 31 December 2004, or to the date of death.
Data sources
We used two data sources: (1) EHEP data from the Bureau of Health in Kaohsiung City; (2) mortality data from the death registrations of the National Department of Health (DOH). The EHEP checklist included weight, height and blood pressure measurements, and laboratory tests evaluating functioning of various systems. Blood biochemistry, urinalysis and stool occult blood were examined at laboratory units in each contracting hospital. The results of the health examinations generated by each hospital were transmitted electronically to the Bureau of Health, Kaohsiung City.
Deaths during follow-up (2002–2004) were identified from the DOH mortality data released by the DOH. To examine cause-specific mortality, causes of death were classified by International Classification of Diseases, Ninth Edition, Clinical Modification codes as follows: malignant tumours, 140–239; cardiovascular disease, 401–448; diabetes mellitus, 250; renal disease, 580–588 [17].
Measures of kidney function, classification of CKD and study covariates
Kidney function was calculated by the simplified Modification of Diet in Renal Diseases Study (MDRD) equation for estimating GFR (GFR, mL/min/1.73 m2 = 186.3 x [serum creatinine, mg/dL]–1.154 x age–0.203 x [0.742 for women]) [18]. The CKD classifications defined by the US National Kidney Foundation (NKF) in 2002 were modified in the present study because > 97% of the total sample were classified as CKD stages 1–3 and, of these, almost 40% were at stage 3 by US NKF classification criteria.
To prevent underestimating renal function for patients with CKD stages 1–3, especially stage 3, stage 3 was sub-classified into stages 3a (eGFR 45–59 mL/min/1.73 m2) and 3b (30–44 mL/min/1.73 m2), as in the study by Go et al. [9] Participants with estimated glomerular filtration rate (eGFR) > 60 mL/min/1.73 m2 were defined as the reference group, instead of being traditionally classified as non-CKD and CKD stages 1 and 2, because the simplified MDRD equation tends to underestimate GFR in near-normal cases [19]. Criteria for CKD stage 4 (15– 29 mL/min/1.73 m2) and stage 5 (< 15 mL/min/1.73 m2) remain the same as the NKF classification. Stages 3a–5 were defined as late-stage CKD. Overall, the mean follow-up time was 30.8 (SD, 3.6) months for the reference group (eGFR
60); 30.8 months (SD, 3.8) for stage 3a; 30.2 months (SD, 4.7) for stage 3b; 29.2 months (SD, 6.1) for stage 4 and 27.7 months (SD, 8.3) for stage 5.
Adjustment variables for the risk of death
Demographic covariates included age and sex. Biochemical data included blood pressure (systolic and diastolic), fasting blood sugar, serum cholesterol, serum triglycerides, serum albumin, haemoglobin and the number of metabolic syndrome components. The physical examination data are limited in that they contain no comorbidity information. Thus, we used lab data to identify patients with metabolic syndrome [20]. The definition of metabolic syndrome was based on the National Cholesterol Education Program Third Adult Treatment Panel guidelines, including (1) triglycerides
150 mg/dL, (2) blood pressure
130/85 mmHg, (3) fasting glucose
110 mg/dL and (4) body mass index (BMI)
27 kg/m2 [20].
Statistical techniques
All analyses were performed using SPSS software (version 12.0). Basic demographics and laboratory data in each CKD stage were described and mean differences analysed by one-way analysis of variance (ANOVA) and distributions of metabolic syndromes were compared by chi-square tests. The prevalence of each CKD stage was calculated and further compared to the mortality per 1000 person-years of the reference group. Cox regression analysis was applied to compute proportional HR for all-cause and cause-specific mortality associated with late-stage CKD, after controlling for age, sex, haemoglobin, serum albumin, hypertension, dyslipidaemia, obesity and diabetes.
Role of the funding source
The Kaohsiung City Bureau of Health and the Taiwan DOH approved the research team's use of the EHEP dataset from Kaohsiung City and the national mortality dataset.
| Results |
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Distributions of CKD prevalence and patient characteristics
The crude prevalence of CKD at each stage, defined by eGFR, is presented in Table 1. Of the study subjects, 60.6% had eGFR
60 mL/min/1.73 m2. The prevalence of late-stage CKD was 39.4%, in the following categories: 27.7% stage 3a, eGFR 45–59 mL/min/1.73 m2; 8.8% stage 3b, eGFR 30–44 mL/min/1.73 m2 and 2.2% stage 4, eGFR 15–29 mL/min/1.73 m2. Only 0.7% of subjects had eGFR < 15 mL/min/1.73 m2, stage 5.
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Table 1 also displays basic demographic and laboratory data by eGFR level. For each study variable, significant mean difference was found across the five eGFR groups (P < 0.001). The mean age of the study population was 75.7 (SD, 5.3) years; more than half were male (59.4%). Subjects classified in late-stage CKD groups had higher mean values for systolic blood pressure, fasting blood sugar and serum triglycerides. Haemoglobin levels progressively decreased in groups with the decreased eGFR. For metabolic syndromes,
30% of the study cohort had hypertension (29.3%), hyperglycaemia (30.8%), dyslipidaemia (30.9%) and obesity (30.8%). The number of metabolic syndrome component was significantly associated with eGFR level based on chi-square results (P < 0.001).
Mortality and survival by CKD stage
Of the 35 529 study subjects, 1840 (5.18%) died by the end of 2004, a mortality rate of 20.3 per 1000 person-years (Table 2). The mortality rate increased with lower eGFR, from 16.4 per 1000 person-years in the reference group (eGFR
60 mL/min/1.73 m2) to 89.6 per 1000 person-years in the group with eGFR < 15 mL/min/ 1.73 m2. With eGFR < 30 mL/min/1.73 m2, mortality rates per 1000 person-years increased significantly from 33.9 to 64.5, a mortality increase of > 90%.
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Figure 1 depicts the unadjusted and adjusted survival probabilities in the five eGFR groups over time. We found a decreasing trend in cumulative survival probabilities at lower levels of eGFR. At Month 24, the unadjusted survival probability was close to 96% for the reference group and 84% for the group with eGFR < 15 mL/min/1.73 m2. The decreasing trends in survival probabilities in lower eGFR groups remained after adjusting for age, sex, haemoglobin, serum albumin, hypertension, dyslipidaemia, obesity and diabetes. However, the differences were smaller after adjustment.
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Proportional hazard ratios of mortality
Proportional hazards ratios (HR) for all-cause and cause-specific mortality were generated by Cox regression models (Table 3). For all-cause mortality (N = 1840), the results indicated the group with eGFR < 15 mL/min/1.73 m2 had the highest HR of mortality [2.55; 95% confidence interval (CI), 1.8–3.6] compared to the reference group (eGFR
60 mL/min/1.73 m2). The groups with eGFR 30–44 (HR, 1.52; CI, 1.3–1.8) and 15–29 mL/min/1.73 m2 (HR, 2.10; CI, 1.7–2.6) had significantly higher HR of mortality compared with the reference group (P < 0.001). The results are also shown in Figure 2a.
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Late-stage CKD significantly increased the risk of mortality due to cardiovascular and renal disease (Table 3). The hazard ratio of cardiovascular mortality was 3.22 times higher for eGFR < 15 mL/min/1.73 m2 (CI, 1.3–8.3); 3.62 for eGFR 15–29 (CI, 2.3–5.8) and 2.42 for eGFR 30–44 (CI, 1.7–3.4) compared with the reference group. The hazard ratio of mortality due to renal diseases dramatically increased with lower eGFR: 44.56 for eGFR< 15 mL/min/1.73 m2 (CI, 11.4–173.5); 17.86 for eGFR 15–29 (CI, 4.9–64.7) and 9.58 for eGFR 30–44 (CI, 2.9–31.6). The risks of mortality due to malignant tumours or diabetes mellitus were not significantly associated with graded decreases of eGFR (Figure 2).
| Discussion |
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The present study aimed to examine the hypothesis that declining renal function is associated with increasing risk of mortality in elderly Taiwanese. The findings support this hypothesis and confirm that mortality cases due to cardiovascular and renal disease are associated with late-stage CKD [9–13]. The present findings also reveal a relatively higher prevalence rate of CKD compared to the rest of Taiwan and to the US [6,8], with lower mortality rates in the elderly population [9,10,13], possibly indicating a reason for the higher ESRD incidence rate in southern Taiwan, or underestimation of actual renal function for patients classified with CKD stages 1–3.
CKD has been found to be an important risk factor for cardiovascular events and death in African American and in white American patients [13], and in elderly patients [8,14]. Compared with populations in western countries [12,14,15], cardiovascular disease occurs less frequently among Asians, possibly resulting in a higher likelihood of Asian CKD patients progressing to ESRD rather than dying of cardiovascular disease. Along with a higher incidence and prevalence of ESRD in Taiwan, however, our study found a higher hazard of cardiovascular mortality in an Asian late-stage CKD population. Future research analysing competing effects of cardiovascular disease on death versus ESRD may provide a better picture of the progression from CKD to ESRD in cardiovascular disease patients.
Expected higher relative risk of diabetic mortality was not found in late-CKD patients in our study. A possible explanation is that a significant proportion of elderly diabetic patients die from complications of diabetes other than diabetic nephropathy [16]. As shown in Table 3, only 146 out of 1840 mortality cases were due to diabetes. However, diabetic patients could die of cardiovascular disease or renal disease and the death could be classified as non-diabetic mortality because the ICD-9-CM coding system for national Registration of Death Data is comprehensive for cardiovascular mortality, but very specific for diabetic mortality. Several additional Cox regression models (not shown) were established to examine the effects of metabolic syndromes on HR of metabolic mortality. Compared to late CKD, hyperglycaemia appears to be a stronger consistent predictor of diabetic mortality. In other words, blood sugar control is more strongly related to risk of diabetic mortality.
Similarly, malignancy mortality, the leading cause of death for the general population and for elderly people in Taiwan [17], is not significantly associated with late-stage CKD. This could be because seriously ill cancer patients are distributed among different eGFR groups, and cancer patients may die before developing renal failure. Overall, additional research is needed to investigate competing death risk factors affecting CKD progression, such as treatment regimens, socioeconomic status, frequency of medical care use and health insurance. Further cross-national comparison is also critical to examine ecologic risk associated with the progression from CKD to ESRD or mortality.
Our study is unique because the study cohort is derived from a national health insurance system with the highest incidence and prevalence of ESRD in the world [4]. Within Taiwan, the study area, Kaohsiung City, has a much higher incidence and prevalence of ESRD than other areas of Taiwan [21]. Possibly, the high ESRD incidence in elderly Kaohsiung residents results from the high CKD prevalence. However, few studies have focused on the CKD prevalence in Taiwan, except for the national TW3H survey conducted in 2002 [6]. Compared with the 30% CKD prevalence among elderly participants in the TW3H Survey, our study found a 39.4% late-stage CKD prevalence in the elderly population of Kaohsiung City. It should be noted that the current study dataset was derived from the annual EHEP in Kaohsiung City. The nature of voluntary participation in physical health examination programs tends to favour those with better health status and hinder those who are disabled or bedridden, or who have severe physical or mental illnesses compared to a community-based survey like TW3H. However, we found that the prevalence of late-stage CKD in the Kaohsiung study cohort was higher compared to the rest of Taiwan [6] and to the USA [8], with relatively higher survival rates for all-cause mortality [9]. These findings suggest two perspectives regarding implications. First, the large pool of CKD patients may be increasing the ESRD population in Kaohsiung City. Second, the higher reported prevalence of renal disease and the better survival might be due to underestimation of renal function in patients classified with CKD stages 1–3 based on the current eGFR classification [19].
The classification of CKD, originally proposed by the US NKF, was based on Third National Health and Nutrition Examination Survey data [18], and the simplified MDRD equation was used to calculate eGFR [22]. Racial differences in adaptation of the criteria for CKD classification or in application of the equation for estimating GFR may result in misclassification of CKD and affect the results and implications [23]. Careful modification of MDRD equations might be necessary in the Chinese population with CKD because the MDRD equation could underestimate GFR in cases of near-normal eGFR and overestimated eGFR in cases of advanced kidney failure [19]. Therefore, we used a modified NKF classification of CKD as did in the study of Go et al. [9] and divided CKD stage 3 (eGFR 30–59 mL/min/1.73 m2) into CKD stages 3a (eGFR 45–59 mL/min/1.73 m2) and 3b (eGFR 30– 44 mL/min/1.73 m2). The present findings are similar to the study of Go el al., but more sensitive to the sub-classification of stage 3 (stages 3a and 3b). Compared to the reference group (eGFR
60), mortality HR for patients at stage 3a (eGFR 45–59 mL/min/1.73 m2) were not significantly higher for all-cause mortality or any cause-specific mortality. On the other hand, stage 3b (eGFR 30– 44 mL/min/1.73 m2) was associated with a higher risk of all-cause mortality or specific mortality due to cardiovascular disease and renal disease. As OHare et al. point out [24], the inconsistency in mortality in relationship with eGFR in various age groups may suggest a finer categorization of CKD is needed. A larger sample size survey in the general population is critical to evaluate the appropriateness of GFR cut-points for the classification of CKD stages in Asian populations or the Chinese population specifically.
Potential limitations of our study should be noted. First, the elderly study sample was younger and included more men than the general elderly population in Kaohsiung, possibly due the younger elderly men having better mobility and being more able to participate in the physical examination program. Second, the physical health examination datasets did not provide sufficient information on subjects past histories of comorbid conditions and medications, and thus health conditions can be judged only through laboratory data. Instead of studying the relationship between specific existing diseases and mortality, the present study considered the effect of metabolic syndromes on mortality because of its associated risk for mortality in relation to CKD [25,26]. Third, laboratory data were measured at different medical institutions and by different laboratory equipment. As a result, there was no calibration or standardization of creatinine measurements. Non-standardized methods of serum creatinine measurement and the subsequent calculated results of eGFR from serum creatinine may lead to misclassification of the CKD staging. However, measurement bias of creatinine or other lab data was assumed to be minimized by the accreditation of the contracting hospitals that provided the annual health examination services. Finally, there is a possibility of misclassification of cause of death, which might interfere with the association of late-CKD and expected mortality.
In conclusion, late-stage CKD is a risk factor for mortality in elderly Taiwanese, especially for higher mortality rates due to cardiovascular and renal diseases. Given the higher prevalence rate of late-stage CKD in the study area, and the relatively low mortality of CKD patients, our results might reflect underestimation of renal function for patients at early stages of CKD, or partly explain the high ESRD population.
| Acknowledgments |
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The authors would like to express their sincere appreciation to the Kaohsiung City Bureau of Health and the Taiwan Department of Health for approval to use the Elderly Health Examination Program dataset from Kaohsiung City and the national mortality dataset. The authors also thank Cheng-Horn Lee, PhD, of the School of Public Health, Kaohsiung Medical University, for statistical consultation, and Nan Booth, MSW, MPH, of the United States Renal Data System, for manuscript editing. Parts of the results were presented at the Annual Meeting of the European Dialysis and Transplantation Association/European Renal Association, 2006.
Conflict of interest statement. None declared.
| References |
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- Eknoyan G, Lameire N, Barsoum R, et al. The burden of kidney disease: improving global outcomes. Kidney Int (2004) 66:1310–1314.[CrossRef][Web of Science][Medline]
- National Health Insurance. Annual Statistical Report 2003. Department of Health, Executive Yuan, ROC, Taiwan, 2003.
- Hallan SI, Coresh J, Astor BC, et al. The international comparison of the relationship of chronic kidney disease prevalence and ESRD risk. J Am Soc Nephrol (2006) 17:2275–2284.
[Abstract/Free Full Text] - States Renal Data System. USRDS 2005 Annual Data Report. National Institutes of Health, National Institutes of Diabetes and Digestive and Kidney Disease, Bethesda, MD, 2005.
- Department of Health. Health and Vital Statistic: (2) Vital Statistics. Department of Health, Executive Yuan, R.O.C. Taiwan, 1994.
- Hsu CC, Hwang SJ, Wen CP, et al. High prevalence and low awareness of chronic kidney disease in Taiwan: a study on the relationship between serum creatinine and awareness from a national representative survey. Am J Kidney Dis (2006) 48:727–738.[CrossRef][Web of Science][Medline]
- Yang WC, Ng YY, Chen CJ. A huge burden of stage III-V chronic kidney disease in Taiwan: a national prevalence estimated from TW3H QC monitoring [Abstract]. In: National Kidney Foundation 2005 Spring Clinical Meetings 2005. Washington, DC.
- Coresh J, Astor BC, Greene T, Eknoyan G, Levey AS. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: third National Health and Nutrition Examination Survey. Am J Kidney Dis (2003) 41:1–12.[Web of Science][Medline]
- Go AS, Chertow GM, Fan D, et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med (2004) 351:1296–1305.
[Abstract/Free Full Text] - Tonelli M, Wiebe N, Culleton B, et al. Chronic kidney disease and mortality risk: a systematic review. J Am Soc Nephrol (2006) 17:2034–2047.
[Abstract/Free Full Text] - Collins AJ, Li S, Gilbertson DT, et al. Chronic kidney disease and cardiovascular disease in the Medicare population. Kidney Int (2003) 87(Suppl):S24–S31.
- Weiner DE, Tabatabai S, Tighiouart H, et al. Cardiovascular outcomes and all-cause mortality: exploring the interaction between CKD and cardiovascular disease. Am J Kidney Dis (2006) 48:392–401.[CrossRef][Web of Science][Medline]
- Weiner DE, Tighiouart H, Amin MG, et al. Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol (2004) 15:1307–1315.
[Abstract/Free Full Text] - Manjunath G, Tighiouart H, Coresh J, et al. Level of kidney function as a risk factor for cardiovascular outcomes in the elderly. Kidney Int (2003) 63:1121–1129.[CrossRef][Web of Science][Medline]
- Ueshima Okayama H., Saitoh A S, et al. Differences in cardiovascular disease risk factors between Japanese in Japan and Japanese-Americans in Hawaii: the Interlipid study. J Hum Hypertens (2003) 17:631–639.[CrossRef][Web of Science][Medline]
- Bo S, Ciccone G, Gancia R, et al. Mortality within the first 10 years of the disease in type 2 diabetic patients. Nutr Metab Cardiovasc Dis (2006) 16:8–12.[CrossRef][Web of Science][Medline]
- Department of Health. (2004) Age-Specific Mortality Rates of the Leading Causes of Death. Department of Health, Executive Yuan, ROC, Taiwan.
- The National Kidney Foundation: K/DOQI. Clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis (2002) 39(Suppl_1):S46–S75.[CrossRef]
- Zuo L, Ma YC, Zhou YH, et al. Application of GFR-estimating equations in Chinese patients with chronic kidney disease. Am J Kidney Dis (2005) 45:463–472.[CrossRef][Web of Science][Medline]
- Hwang LC, Bai CH, Chen CJ. Prevalence of obesity and metabolic syndrome in Taiwan. J Formos Med Assoc (2006) 105:626–635.[Web of Science][Medline]
- Hwang SJ, Yang WC, Hwang SC. Increasing burden, regional difference, and high severity of incident ESRD patients in Taiwan [Abstract]. J Am Soc Nephrol (2004) 15:399A.
- Levey AS, Bosch JP, Lewis JB. Modification of Diet in Renal Disease Study Group. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med (1999) 130:461–470.
[Abstract/Free Full Text] - The National Kidney Foundation: K/DOQI. Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification Part 5 Evaluation of laboratory measurements for clinical assessment of kidney disease. Am J Kidney Dis (2002) 39:S76–S110.[CrossRef]
- OHare AM, Bertenthal D, Covinsky KE, et al. Mortality risk stratification in chronic kidney disease: one size for all ages? J Am Soc Nephrol (2006) 17:846–853.
[Abstract/Free Full Text] - Bruno G, Merletti F, Biggeri A, et al. Metabolic syndrome as a predictor of all-cause and cardiovascular mortality in type 2 diabetes: the Casale Monferrato study. Diabetes Care (2004) 27:2689–2694.
[Abstract/Free Full Text] - Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care (2005) 28:1769–1778.
[Abstract/Free Full Text]
Accepted in revised form: 31. 3.08
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