A Simple Algorithm to Predict Incident Kidney Disease
نویسندگان
چکیده
منابع مشابه
A simple algorithm to predict incident kidney disease.
BACKGROUND Despite the growing burden of chronic kidney disease (CKD), there are no algorithms (to our knowledge) to quantify the effect of concurrent risk factors on the development of incident disease. METHODS A combined cohort (N = 14 155) of 2 community-based studies, the Atherosclerosis Risk in Communities Study and the Cardiovascular Health Study, was formed among men and women 45 years...
متن کاملBilateral simple ectopic kidney in a cat
Bilateral simple ectopic kidney was diagnosed in an apparently healthy 3-year-old, female domestic short hair cat, incidentally based on radiology and ultrasonography examination. The cat was presented for routine examination without any complaint. In clinical evaluation, no significant abnormal clinical sign was seen except for the absence of both kidneys in their proper location in abdominal ...
متن کاملA multi-marker approach to predict incident CKD and microalbuminuria.
Traditional risk factors do not adequately identify individuals at risk for CKD. We related a multi-marker panel consisting of the following seven circulating biomarkers to the incidence of CKD and microalbuminuria (MA) in 2345 participants who attended the sixth Framingham Offspring Study examination (1995 to 1998): C-reactive protein, aldosterone, renin, B-type natriuretic peptide (BNP), plas...
متن کاملIncident chronic kidney disease: trends in management and outcomes
BACKGROUND Management trends in early chronic kidney disease (CKD) and their associations with clinical outcomes have not previously been reported. METHODS We evaluated incident (Stage G3A) CKD patients from an integrated health care system in 2004-06, 2007-09 and 2010-12 to determine adjusted trends in screening (urinary protein quantification), treatment [prescription for angiotensin-conver...
متن کاملBiomarkers of cardiovascular stress and incident chronic kidney disease.
BACKGROUND Growth differentiation factor-15 (GDF-15), soluble ST2 (sST2), and high-sensitivity troponin I (hsTnI) are emerging predictors of adverse clinical outcomes. We examined whether circulating concentrations are related to the development of kidney disease in the community. METHODS Plasma GDF-15, sST2, and hsTnI concentrations were measured in 2614 Framingham Offspring cohort participa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Archives of Internal Medicine
سال: 2008
ISSN: 0003-9926
DOI: 10.1001/archinte.168.22.2466