Literature DB >> 1405377

Race and diabetes as death risk predictors in hemodialysis patients.

E G Lowrie1, N L Lew, W H Huang.   

Abstract

Case mix and laboratory predictors of death risk were evaluated in 17,185 hemodialysis patients. The laboratory variables most closely associated with the increased death risk borne by diabetic patients (relative to non-diabetics) and White patients (relative to non-Whites) were identified. The analyses of laboratory death risk predictors were similar to those previously reported. Serum albumin concentration is the most powerful death risk predictor among all of the variables, both case mix and laboratory. Statistical models including only case mix variables reveal both race (RRWhites = 1.42) and diabetes (RRdiabetes = 1.43) as significant predictors. Adding creatinine, albumin, and BUN concentrations to the model eliminated diabetes as a significant predictor. Creatinine and albumin accounted for most of the change. Adding only creatinine eliminated race. The data suggest that reduced visceral and somatic protein mass and/or metabolism may be important determinants of mortality in dialysis patients. Because differences in the concentrations of creatinine and albumin explain much of the risk associated with being White or diabetic, differences in nutritional status may explain the reduced survival observed in those groups. Therefore, clinicians should not simply accept without question the notion that diabetics and Whites are doomed to inferior survival.

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Year:  1992        PMID: 1405377

Source DB:  PubMed          Journal:  Kidney Int Suppl        ISSN: 0098-6577            Impact factor:   10.545


  7 in total

1.  Protein-energy wasting, as well as overweight and obesity, is a long-term risk factor for mortality in chronic hemodialysis patients.

Authors:  Liviu Segall; Mihaela Moscalu; Simona Hogaş; Irina Mititiuc; Ionuţ Nistor; Gabriel Veisa; Adrian Covic
Journal:  Int Urol Nephrol       Date:  2014-01-29       Impact factor: 2.370

Review 2.  Nephrology, dialysis and transplantation.

Authors:  K Farrington; P Sweny
Journal:  Postgrad Med J       Date:  1993-07       Impact factor: 2.401

3.  Association of race and age with survival among patients undergoing dialysis.

Authors:  Lauren M Kucirka; Morgan E Grams; Justin Lessler; Erin Carlyle Hall; Nathan James; Allan B Massie; Robert A Montgomery; Dorry L Segev
Journal:  JAMA       Date:  2011-08-10       Impact factor: 56.272

4.  Cardiac disease in diabetic end-stage renal disease.

Authors:  R N Foley; B F Culleton; P S Parfrey; J D Harnett; G M Kent; D C Murray; P E Barre
Journal:  Diabetologia       Date:  1997-11       Impact factor: 10.122

5.  Creatinine generation rate can detect sarcopenia in patients with hemodialysis.

Authors:  Yukari Mae; Tomoaki Takata; Kentaro Yamada; Shintaro Hamada; Marie Yamamoto; Takuji Iyama; Hajime Isomoto
Journal:  Clin Exp Nephrol       Date:  2021-09-30       Impact factor: 2.801

6.  Higher serum creatinine concentrations in black patients with chronic kidney disease: beyond nutritional status and body composition.

Authors:  Joy Hsu; Kirsten L Johansen; Chi-Yuan Hsu; George A Kaysen; Glenn M Chertow
Journal:  Clin J Am Soc Nephrol       Date:  2008-04-16       Impact factor: 8.237

7.  Predicting technique survival in peritoneal dialysis patients: comparing artificial neural networks and logistic regression.

Authors:  Navdeep Tangri; David Ansell; David Naimark
Journal:  Nephrol Dial Transplant       Date:  2008-04-25       Impact factor: 5.992

  7 in total

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