CARDIOVASCULAR-KIDNEY-METABOLIC SYNDROME STAGES AND RISKS OF INCIDENT CHRONIC KIDNEY DISEASE: A NATIONWIDE COHORT STUDY IN CHINA

 

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CARDIOVASCULAR-KIDNEY-METABOLIC SYNDROME STAGES AND RISKS OF INCIDENT CHRONIC KIDNEY DISEASE: A NATIONWIDE COHORT STUDY IN CHINA

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Zeyu
Li
Zeyu Li lizy97@mail2.sysu.edu.cn The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China *
Shengyun Lin linshy67@mail2.sysu.edu.cn The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
Kexin Ma makx7@mail2.sysu.edu.cn The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
Jinfeng Ye yejf7@mail2.sysu.edu.cn The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
Peichen Xie xiepch3@mail2.sysu.edu.cn The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
Yukun Hu 1713756001@qq.com The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
Wei Chen chenwei99@mail.sysu.edu.cn The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
Naya Huang huangnaya@163.com The First Affiliated Hospital, Sun Yat-sen University Department of Nephrology Guangzhou China -
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The growing recognition of the pathophysiological connections between obesity and metabolic risk factors such as diabetes, chronic kidney disease (CKD), and cardiovascular diseases (CVD) has led to the widespread acceptance of the conception of cardiovascular-kidney-metabolic (CKM) syndrome, which is defined as a systemic disorder characterized by pathophysiological interactions among metabolic risk factors, CKD, and the cardiovascular system, leading to multiorgan dysfunction and a high rate of adverse cardiovascular outcomes and has gradually become a public health concern. Previous studies has revealed that the coexistence of metabolic abnormalities and CKD is significantly associated with adverse cardiovascular outcomes. However, the interaction between CVD and metabolic risk factors in relation to renal function progression remains unclear. Meanwhile, most current evidence derives from Western populations, while studies focusing on Asian cohorts—especially Chinese populations—are notably scarce. Given the distinct genetic backgrounds, lifestyle patterns, and disease profiles in China, the generalizability of previous findings to this population remains questionable. This study therefore aims to investigate the association between CKM syndrome staging and incident CKD in a representative sample of middle-aged and older Chinese adults. Elucidating these relationships in an understudied population may inform the development of targeted prevention and improved risk stratification strategies.

This was a prospective cohort study using data from the China Health and Retirement Longitudinal Study (CHARLS), including participants aged ≥45 years with complete baseline (2011) and follow-up (2015) data. Incident CKD was defined as a new-onset estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m². Participants were stratified by CKM stages based on established criteria. Multivariable logistic regression adjusted for demographics, comorbidities, and lifestyle factors was used to evaluate the independent associations between CKM stages and incident CKD risk.

The study included 5,978 participants, with a mean age of 58.6 years (SD ± 9.0) and 44.0% male. During the 4-year follow-up period, incident CKD developed in 269 participants, yielding an overall incidence rate of 4.50% (95% CI 3.98-5.07). After full adjustment, CKM stage 2 (OR 2.11, 95% CI 1.20 to 3.69, P = 0.009) and stage 4 (OR 2.08, 95% CI 1.12 to 3.89, P = 0.021) were independently associated with increased risks of incident CKD, while CKM stage 1 patients and non-CKM patients showed no significant difference in CKD incidence (OR 1.19, 95% CI 0.66 to 2.14, P = 0.557).

Table 1. Baseline Characteristics by CKM Stage​

Characteristic

CKM 0 (N=494)

CKM 1 (N=2101)

CKM 2 (N=2544)

CKM 4 (N=839)

P-value

​Age (years)​​

56.5 ± 8.9

57.4 ± 9.0

58.5 ± 8.5

60.7 ± 9.7

<0.001

​Male​

232 (47%)

977 (47%)

1088 (43%)

314 (37%)

<0.001

​Female​

262 (53%)

1124 (53%)

1456 (57%)

525 (63%)

<0.001

​Smoker​

194 (39%)

800 (38%)

910 (36%)

306 (36%)

0.281

​Drinker​

127 (26%)

569 (27%)

617 (24%)

141 (17%)

<0.001

​BMI (kg/m²)​​

20.4 ± 1.7

23.5 ± 3.5

24.7 ± 3.6

24.6 ± 4.0

<0.001

​SBP (mmHg)​​

107.8 ± 7.4

124.1 ± 17.7

134.6 ± 21.8

132.7 ± 21.5

<0.001

​DBP (mmHg)​​

64.4 ± 7.3

73.4 ± 11.1

78.3 ± 12.5

76.6 ± 12.4

<0.001

​Uric acid (mg/dL)​​

4.09 ± 1.07

4.22 ± 1.14

4.57 ± 1.27

4.34 ± 1.17

<0.001

​Fasting glucose (mg/dL)​​

90.2 ± 8.4

101.9 ± 10.6

116.4 ± 40.9

114.1 ± 40.1

<0.001

​Triglycerides (mg/dL)​​

75.22 (59.29, 98.24)

84.96 (66.38, 106.20)

162.84 (130.98, 221.25)

119.92 (83.63, 174.35)

<0.001

​eGFR (mL/min/1.73m²)​​

96.3 ± 12.0

95.9 ± 12.2

92.8 ± 13.1

91.0 ± 12.5

<0.001

Table 2. Incident of chronic kidney disease by different CKM stages

 

CKM Stage

Total

Incidence of CKD

Event Rate (%)

CKM Stage 0

491

14

2.85

CKM Stage 1

1909

63

3.3

CKM Stage 2

2209

127

5.75

CKM Stage 4

718

42

5.85


Table 3. Association between CKM stages and risk of incident CKD across different adjustment models

 

CKM stage 1

CKM stage 2

CKM stage 4

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

​Unadjusted

1.19 (0.67-2.14)

0.554

2.03 (1.16-3.56)

0.013

2.09 (1.14-3.84)

0.017

​Model 1: Sex​

1.19 (0.67-2.14)

0.550

2.04 (1.17-3.57)

0.012

2.10 (1.15-3.87)

0.016

​Model 2:Model 1 +BMI​

1.19 (0.66-2.14)

0.558

2.12 (1.21-3.72)

0.008

2.08 (1.12-3.87)

0.020

​Model 3: Model 2 +Lifestyle​

1.19 (0.66-2.14)

0.557

2.11 (1.20-3.69)

0.009

2.08 (1.12-3.86)

0.021

​Model 4.:Model 3+Age​

1.07 (0.59-1.93)

0.820

1.85 (1.02-3.33)

0.042

1.78 (0.94-3.36)

0.076

This nationwide prospective cohort study provides compelling evidence that advanced stages of cardiovascular-kidney-metabolic (CKM) syndrome are significantly associated with an increased risk of incident chronic kidney disease among middle-aged and older adults in China. Our findings demonstrate that CKM stage 2 and beyond hold substantial clinical predictive value for the development of CKD.

Kewords