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OBJECTIVE: This study aimed to determine if adapted Global Leadership Initiative on Malnutrition (GLIM) criteria can diagnose overnutrition, in addition to undernutrition, in hemodialysis patients. Additionally, it compared the adapted GLIM criteria with the subjective global assessment (SGA) for diagnosing undernutrition. METHODS: A cross-sectional, descriptive study design with an analytical component was utilized. An interviewer-administered questionnaire was completed with 116 adult participants from 2 public renal units in Cape Town. Data collection included demographic, medical, and anthropometric information, incorporating the established SGA tool and the adapted GLIM criteria. RESULTS: Of the participants, 58% were female, with a mean age of 41.04 years (SD 10.6). The primary causes of renal failure were hypertension (38%) and glomerular disease (33%). The median weight was 64.74 kg (IQR 16.4), and the mean body mass index (BMI) was 25.44 kg/m2 (SD 4.66). The prevalence of obesity was 20%, and undernutrition was 4% by BMI. Participants from Groote Schuur Hospital had a higher mean BMI (26.40, SD 4.9) than those from Tygerberg Hospital (P = .0033). Abdominal obesity prevalence was 51%, with a mean waist circumference of 87.06 cm (SD 11.37). Using SGA parameters, undernutrition prevalence was 26%, with all classified as SGA-B, compared to 22% by adapted GLIM. Adapted GLIM classified 69.83% as malnourished (overnutrition 47% and undernutrition 22%). For undernutrition, the adapted GLIM had a sensitivity of 75% (CI 64.04, 85.96), specificity of 77.78% (CI 67.26, 88.3), positive predictive value of 69.23% (CI 57.55, 80.91), and negative predictive value of 82.35% (CI 72.71, 92.00). Among those diagnosed with overnutrition by adapted GLIM, 89% were classified as well-nourished by SGA. CONCLUSION: The adapted GLIM criteria effectively assessed overnutrition as well as undernutrition in hemodialysis patients. It identified a significant proportion of patients misclassified as well-nourished by SGA who were actually overnourished. The adapted GLIM showed good sensitivity and specificity for diagnosing undernutrition in this population.

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OBJECTIVE: The primary objective of this systematic review was to determine the relationship between body mass index (BMI) and all-cause and cardiovascular mortality. DESIGN: Systematic review of primarily observational studies. PATIENTS: Adult patients from all gender, race, or ethnic groups on maintenance hemodialysis. METHODS: Medline, Science Citation Index, Academic Search Premier, Cochrane Library, and Embase electronic databases covering the period 1966 to December 2008 were searched with the help of a qualified librarian. Reference lists of included papers and collections also were searched. Each study was reviewed by 2 independent reviewers who also performed the data extraction from full papers. Differences between reviewers were resolved by consensus or by a third reviewer in the case of disagreements. The quality of studies selected for inclusion in the systematic review was also assessed by 2 independent reviewers. MAIN OUTCOMES: BMI and mortality. RESULTS: Eighteen studies (60%) reported a significant inverse relationship between all-cause mortality and BMI. This inverse relationship was more prevalent in older patients, larger retrospective studies, and studies that did not adjust for inflammation. On the other hand, 57% of the 7 studies reporting on cardiovascular mortality found no significant relationship with BMI. CONCLUSIONS: This systematic review shows evidence of an inverse relationship between BMI and all-cause mortality in adult patients on maintenance HD, especially in older patients, but the relationship with cardiovascular mortality is less clear.

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The aim of this exhaustive review and meta-analysis was to explore the relation among serum protein, inflammatory markers, and all-cause and cardiovascular mortalities in adult patients on maintenance hemodialysis. We searched the Medline, Science Citation Index, Academic Search Premier, Cochrane Library, and Embase electronic data bases. Data extraction and quality assessment were done independently by two reviewers and results were pooled using the random effects model. Cochran's Q was used to identify heterogeneity and a funnel plot was used for assessment of publication bias. A meta-analysis was performed on 38 studies (265 330 patients) reporting on serum proteins, inflammatory markers, and mortality. A significant inverse relation was found between serum albumin and all-cause (hazard ratio [HR] 0.7038, 95% confidence interval [CI] 0.6367-0.7781) and cardiovascular (HR 0.8726, 95% CI 0.7909-0.9628) mortalities, with a significantly stronger relation with all-cause mortality (P=0.0014). Pooled results for C-reactive protein showed a weak but significant direct relation with all-cause mortality (HR 1.0322, 95% CI 1.0151-1.0496), but there was not a significant relation between C-reactive protein and cardiovascular mortality (HR 1.0172, 95% CI 0.9726-1.0639). A high degree of heterogeneity was identified among studies especially in the case of all-cause mortality. An asymmetrical funnel plot for serum albumin is suggestive of publication bias. From the meta-analysis it is concluded that serum albumin showed a significant inverse relation with all-cause and cardiovascular mortalities but the relation between prealbumin and all-cause mortality was not significant. C-reactive protein showed a significant direct relation with all-cause mortality but not with cardiovascular mortality. The potential adverse effects of malnutrition and infections in relation to mortality highlight the need for continued treatment of infections and correction of malnutrition in patients on dialysis.

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