Increased Body Mass Index Is Not a Reliable Marker of Good Nutrition in Hemodialysis Patients

Torun, Dılek; Micozkadıoğlu, Hasan; Torun, Neşe; Özelsancak, Rüya; Sezer, Sıren; Adam, Fatma Ulku; Özdemir, Fatma Nurhan; Haberal, Mehmet

doi:10.1080/08860220701274959

Cited by 14 publications

(11 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several other studies have shown similarly lower BMI in MHD patients as compared with controls [14][15]. The results showed 73% normal weight, 21% overweight and 3% obese patients undergoing haemodialysis in comparison to 59% normal weight, 24% overweight and 17% obese individuals undergoing haemodialysis as reported by Torun and associates [16]. On the other hand, 3% of MHD patients had BMI less than 18.5kg/m 2 in contrast with none in the control group.…”

Section: Discussionsupporting

confidence: 47%

Assessment of Lipid Dysfunction of Patients Under Haemodialysis in Cameroon

Gueguim¹

2017

AJBLS

View full text Add to dashboard Cite

Dyslipidaemia is a major risk factor of cardiovascular disease of patients under haemodialysis. Both increase and decrease of cholesterol levels are associated with higher cardiovascular mortality rate in haemodialysis patients. The objective of this study was to assess the lipid dysfunction among patients maintained under haemodialysis in two reference centres of haemodialysis in Cameroon. A descriptive comparative study was carried out in Nephrology Unit of the University Teaching Hospital of Yaoundé and the same Unit of the Douala General Hospital, Cameroon. A total of 160 subjects were studied: Of these, there were 80 patients under haemodialysis and 80 healthy controls. Body mass index (BMI) was measured according to WHO's guidelines. Serum total cholesterol (TC), triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C) were assayed before and after haemodialysis session. Low-density lipoprotein cholesterol (LDL-C) was calculated using Friedwald's equation. Their cardiovascular risk indices (TC / HDL-C) were also determined. Patients under haemodialysis had significantly lower BMI as compared with the healthy controls (p < 0.05). Total Cholesterol, LDL-C and HDL-C were considerably lower before and after haemodialysis compared with the healthy controls (p ˂ 0.05). A non-significant difference was found between Triglycerides before and after haemodialysis in contrast with the healthy controls (p > 0.05). The cardiovascular risk indices (TC / HDL-C) of the patients under haemodialysis were higher than those of the healthy control group. Patients under haemodialysis had quite low BMI, total Cholesterol, LDL-C and HDL-C depicting malnutrition leading to inflammation, accelerated atherosclerosis process and cardiovascular complications.

show abstract

Section: Discussionsupporting

confidence: 47%

Assessment of Lipid Dysfunction of Patients Under Haemodialysis in Cameroon

Gueguim¹

2017

AJBLS

View full text Add to dashboard Cite

show abstract

“…Dry weight is determined by nephrologists by clinical trial and error with the attendant pitfalls when used for analysis. We did not find an association between baseline dry weight and albumin or inflammatory markers [56,57]. We did not analyze inter-dialytic weight gain vs. albumin change in our study; others have observed a negative effect of lower interdialytic weight gain on nPCR, prealbumin, and dry weight in longitudinal analyses [57].…”

Section: Discussionmentioning

confidence: 79%

Hypoalbuminemia in hemodialyzed end stage renal disease patients: risk factors and relationships - a 2 year single center study

Sridhar

Josyula²

2013

BMC Nephrol

View full text Add to dashboard Cite

BackgroundMalnutrition affects 1/3 of hemodialysis patients and associates with a higher risk of morbidity and mortality. Serum albumin is a marker of nutrition and inflammation, and predicts mortality, particularly when <3.8 g/dL. This study was performed to identify risk factors for hypoalbuminemia (<3.8 g/dL) and the particular temporal relationship and strength of association between protein intake (nPCR) and serum albumin when confounding variables are taken into account.MethodsDemographic, clinical, and dialysis-related data of 57 ESRD patients on hemodialysis over 24 months in 6 temporal segments were analyzed with serum albumin as a continuous, and categorical outcome (with 3.8 g/dl as cut-off) variable , against 13 potential independent variables [4 demographic factors, 3 nutrition-related, and 5 morbidity-related parameters, and % urea reduction ratio (URR)]. The temporal relationships between albumin and nPCR were analyzed for the concurrent & 3 subsequent months in each temporal segment.ResultsThe impact of nPCR on serum albumin (p < 0.05) was significant but with no discernible temporal relationship. Advancing age, longer vintage, female gender, diabetes mellitus, nPCR, serum phosphate and ferritin had significant correlation with albumin <3.8 g/dl (p < 0.05). Serum phosphate levels correlated positively, and fever, bacteremia, hospital stay and weight loss negatively, with mean serum albumin but did not negate the effect of nPCR. Regression analysis showed that mean albumin associated with nPCR, fever, hospital stay, bacteremia, dialysis vintage, age, sex, and diabetes mellitus; and that an albumin level of <3.8 g/dl associated with age, female sex, diabetes, lower nPCR, and higher ferritin.ConclusionSuggested target albumin levels were not met in elderly, female, and diabetic patients. The association of nPCR with albumin was not nullified by confounding demographic or morbidity-related factors. nPCR had no demonstrable temporal relationship with albumin.

show abstract

“…26 On the other hand, Gallar-Ruiz et al did not find significant differences in total protein, albumin, pre-albumin and haemoglobin serum levels between haemodialysis patients with BMI < and >25 kg/m 2 , 27 and Torun et al reported lower levels of albumin and BUN in obese patients with haemodialysis. 28 The possible underlying mechanisms of these discrepancies were not explained…”

Section: Discussionmentioning

confidence: 99%