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J Am Heart Assoc. 2022;11(13):e025554.

Left Ventricular Diastolic Dysfunction and Progression of Chronic Kidney Disease: Analysis of KNOW-CKD Data.

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제1저자 강은정, 이성우 · 교신저자 오국환

소속 (10)
  1. Department of Internal Medicine Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine Seoul South Korea.
  2. Department of Internal Medicine Uijeongbu Eulji University Medical Center, Uijeongbu-si Gyeonggi-do South Korea.
  3. Department of Internal Medicine Seoul National University College of Medicine Seoul South Korea.
  4. Department of Preventive Medicine Seoul National University College of Medicine Seoul South Korea.
  5. Cancer Research Institute Seoul National University Seoul South Korea.
  6. Integrated Major in Innovative Medical Science Seoul National University College of Medicine Seoul South Korea.
  7. Department of Internal Medicine Gachon University Gil Medical Center, Gachon University College of Medicine Incheon South Korea.
  8. Department of Internal Medicine Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine Seoul South Korea.
  9. Department of Internal Medicine Institute of Kidney Disease Research, College of Medicine, Yonsei University Seoul South Korea.
  10. Department of Internal Medicine National Medical Center Seoul South Korea.

Abstract

Background Few studies have examined the association between the early diastolic mitral inflow velocity/early diastolic mitral annulus velocity ratio (E/e') and chronic kidney disease progression. Methods and Results We reviewed data from 2238 patients with nondialysis chronic kidney disease from the KNOW-CKD (Korean Cohort Study for Outcome in Patients With Chronic Kidney Disease); data from 163 patients were excluded because of missing content. A >50% decrease in estimated glomerular filtration rate from baseline, doubling of serum creatinine, or dialysis initiation and/or kidney transplantation were considered renal events. At baseline, median (interquartile range) ejection fraction and E/e' were 64.0% (60.0%-68.0%) and 9.1 (7.4-11.9), respectively. Proportions of ejection fraction <50% and E/e' ≥15 were 1.3% and 9.6%, respectively. More than one quarter of patients (27.2%) had an estimated glomerular filtration rate <30 mL/min per 1.73 m2. During the mean 59.1-month follow-up period, 724 patients (34.9%) experienced renal events. In multivariable Cox proportional hazard regression analysis, the hazard ratio with 95% CI per 1-unit increase in E/e' was 1.027 (1.005-1.050; P=0.016). Penalized spline curve analysis yielded a suggested threshold of E/e' for renal events of 12; in our data set, the proportion of E/e' ≥12 was 4.1%. Conclusions Increased E/e' was associated with an increased hazard of renal events, suggesting that diastolic heart dysfunction is a novel risk factor for chronic kidney disease progression.

Keywords

cardiorenal syndromechronic kidney diseasediastolic heart dysfunctionearly predictorprogression

Figures

Figure 1
Figure 1 Flowchart of this study. BMI indicates body mass index; E/e’, early diastolic mitral inflow velocity/early diastolic mitral annulus velocity ratio; EF, ejection fraction; KNOW‐CKD, Korean Cohort Study for Outcome in Patients With Chronic Kidney Disease; LAD, left atrial diameter; LVEDD, left ventricular end‐diastolic diameter; LVESD, left ventricular end‐systolic diameter; RWMA, regional wall motion abnormality; RWT, relative wall thickness; and VC, valvular calcification.
Figure 2
Figure 2 Kaplan‐Meier survival curve of quartiles of early diastolic mitral inflow velocity/early diastolic mitral annulus velocity ratio (E/e’). *P<0.05, †P<0.05, and ‡P<0.05 compared with first, second, and third quartiles, respectively, of E/e’ group using the log‐rank test.
Figure 3
Figure 3 Penalized smoothing splines showing the relationship between early diastolic mitral inflow velocity/early diastolic mitral annulus velocity ratio (E/e’) and adverse renal outcomes. Upper (≥25) and lower 0.5% (<3.8) values of E/e’ were truncated. The red line indicates the hazard ratio (HR), and the black dotted line indicates the 95% CI at which E/e’ influenced adverse renal outcomes. HR and 95% CI were determined using Cox proportional hazard regression analysis. In multivariable analysis, covariates were age, sex, current smoking, chronic diseases, body mass index, categorized systolic and diastolic blood pressure by median value, fasting glucose, total cholesterol, other cardiac variables (regional wall motion abnormality, ejection fraction, calcifications of cardiac valves and coronary arteries, history of coronary stenting, and relative wall thickness), vascular variables (abdominal aortic calcification and categorized pulse pressure, brachial‐ankle pulse wave velocity, calcium and phosphorous, intact parathyroid hormone, and 25‐hydroxyvitamin D by median value), medications (renin‐angiotensin system inhibitors, diuretics, β blockers, calcium channel blockers, statins, oral vitamin D3, active vitamin D, and phosphate binders), white blood cell count, albumin categorized by median value, urine protein/creatinine ratio, and chronic kidney disease stage.

그림 출처: PubMed Central 공개 논문 (PMC9333375)

Comment · 정정

그 밖의 정보
출판 형태
Journal Article, Review, Research Support, Non-U.S. Gov't
저널
Journal of the American Heart Association · eISSN 2047-9980
전자 출판
2022-06-29
MeSH
Cohort Studies · Diastole · Humans · Renal Insufficiency, Chronic* / complications / diagnosis / epidemiology · Ventricular Dysfunction, Left* / etiology · Ventricular Function, Left
참고문헌
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