Abstract: FR-PO296
Association of the Trajectories of Metabolic Component and Outcomes in Patients with CKD
Session Information
- CKD: Epidemiology and Risk Factors
November 08, 2019 | Location: Exhibit Hall, Walter E. Washington Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Yoo, Kyung Don, Ulsan University Hospital, Ulsan, Seoul, Korea (the Republic of)
- Kim, Yunmi, Inje University Busan Paik Hospital, Busan, Korea (the Republic of)
- Kim, Hyo Jin, Dongguk University College of Medicine , Gyeongju-si, GyeongSangBuk-do, Korea (the Republic of)
- Park, Ji In, Kangwon National University Hospital , Chuncheon-si,, Korea (the Republic of)
- Lee, Jong Soo, Ulsan University Hospital, Ulsan, Seoul, Korea (the Republic of)
- Koo, Ho seok, Inje university, Seoul, Korea (the Republic of)
Background
Patients with chronic kidney disease (CKD) were known to increase the risk of chronic diseases including hypertension (HTN), diabetes mellitus (DM), dyslipidemia while they also affect deterioration of renal function. However, little is known about the relation of changeable aspect for metabolic component to CKD progression.
Methods
We assigned patients to be clustered High and Low group followed by trajectory analysis using K-means clustering on the basis of systolic and diastolic blood pressure (SBP,DBP), total cholesterol(TC), triglyceride(TG) and LDL cholesterol measurement at least two time point. The optimal number of clustering was selected by the Calinski-Harabasz index. Primary outcome was risk factor analysis by clustering group for eGFR decline, and death.
Results
The mean age of overall participants was 65.7±9.7 years, 50.4% for men and 11.8% for current smoker. The mean SBP was 127.8±15.8 mmHg, DBP was 83.6±8.4 mmHg. Total choresterol, TG and LDL was 196.4±40.9, 147.1±89.8, 115.5±37.2 mg/dl, respectively. The mean SBP of cluster High group was 138.9±13.2, and Low group was 118.9±10.9mmHg. In TC clustering, High group was 223.4 ± 33.0, and Low group was 167.5 ± 26.6 mg/dl. The mean TG in High group was 266.1 ± 116.7, and Low group was 118.8 ± 46.1 mg/dl. In LDL clustering, cluster High group was 139.7 ± 31.2, and Low group was 89.9 ± 24.3 mg/dl.
In multivariate logistic regression, SBP high group (OR 1.13 95%CI 1.066-1.212), TG high group (OR 1.15, 95% CI 1.069-1.240) were independently associated with eGFR decline. And, also SBP high group (OR 1.82, 95%CI 1.070-3.123) and BMI lowest group (OR 2.19, 95%CI 1.07-4.38) were independently associated with death.
Conclusion
High SBP trajectory, and high TG trajectory have negative impacts on eGFR decline. And also, High SBP trajectory, and low BMI trajectory affected overall survival. In CKD patients, more meticulous following up was needed for better clinical outcomes.