MO681: Association of Framingham Risk Score with Mortality in Kidney Failure Patients from China and Sweden

Autor: Xiejia LI, Zhimin Chen, Abdul Rashid Tony Qureshi, Hideyuki Mukai, Mohamed Suliman, Olof Heimbürger, Franz Peter Barany, Jianghua Chen, Peter Stenvinkel, Bengt Lindholm
Rok vydání: 2022
Předmět:
Zdroj: Nephrology Dialysis Transplantation. 37
ISSN: 1460-2385
0931-0509
Popis: BACKGROUND AND AIMS The Framingham risk score (FRS) was developed to estimate an individual`s risk of coronary heart disease over the next 10 years in the general population by using traditional cardiovascular disease (CVD) risk factors age, sex, systolic blood pressure, treatment of hypertension, total cholesterol, high-density lipoprotein cholesterol and smoking status. However, the utility of FRS in predicting CVD mortality in kidney failure patients is not clear. We examined the association between FRS and all-cause and CVD mortality in two cohorts of kidney failure patients from China and Sweden, respectively. METHOD In 1276 Chinese incident peritoneal dialysis [median age 50 years, 56% males, BMI 21 (19–23); incident peritoneal dialysis] and 559 Swedish incident or prevalent dialysis patients [median age 58 years, 62% males, BMI 24 (22–28)], FRS and baseline biochemical and metabolic biomarkers were analysed in relation to mortality during follow-up period of up to 5 years. All-cause and CVD mortality risk of were analysed with competing-risk regression models with transplantation as competing risk adjusting for BMI, serum albumin, hemoglobulin and calendar year. RESULTS Chinese patients were significantly younger (P CONCLUSION Higher FRS (both middle and high tertiles of FRS) was independently associated with significantly higher all-cause and CVD mortality risk in Chinese as well as in Swedish patients with kidney failure. These results underline the importance of traditional CVD risk factors in kidney failure patients and suggest that FRS may be a useful risk-assessment tool for predicting clinical outcomes in these patients.
Databáze: OpenAIRE
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