Effect of metabolic syndrome on clinical outcomes of non-diabetic peritoneal dialysis patients in India

Nephrology (Carlton). 2013 Oct;18(10):657-64. doi: 10.1111/nep.12124.

Abstract

Aim: Metabolic syndrome (MS) is associated with higher mortality and morbidity in the general population. However, the effect of MS and its individual components on clinical outcomes in non-diabetic peritoneal dialysis (PD) patients has not been widely studied in India. Our aim was to study the prevalence of MS in non-diabetic PD patients who were on PD for at least 3 months and to analyze the influence of MS and its individual components on clinical outcomes of these patients on subsequent follow up.

Methods: We prospectively included 163 non-diabetic PD patients (mean age 45.1 ± 16.2 years, 104 male). MS was defined using the modified National Cholesterol Education Programme (ATP III) criteria. Outcomes of patients with and without MS were compared.

Results: Of the 163 non-diabetic PD patients, 84 (51.5%) patients had MS. The mean follow up duration was 24.0 ± 14.0 patient months. Patients with MS had significantly greater body mass index (P = 0.007), Systolic BP (P = 0.001), diastolic BP (P = 0.001), Triglycerides (P = 0.002), total cholesterol (P = 0.001) level; and significantly lower high density lipoprotein (P = 0.013) values. Mean survival (patient-months) of patients with MS (30.7 (95%CI 27.1-34.3)) was significantly inferior to that of patients without MS (55.6 (95% CI 50.8-60.4), P = 0.001). Mean technique survival of patients with MS was also significantly lower (38.9 (95% CI 35.9-41.9)) compared to that of patients without MS (61.5 (95% CI 58.3-64.7), P = 0.039). On univariate Cox regression analysis diastolic BP (P = 0.003), Systolic BP (P = 0.026), hypertension (HTN) (P = 0.001) and MS (P = 0.001) were found to be independent predictors of mortality. However on multivariate Cox hazard regression analysis, only MS (HR 5.39 (95% CI 2.06-14.14), P = 0.001) was found to be the significant predictors of mortality in these patients. Among the factors other than components of MS, the presence of comorbidities (P = 0.029), serum albumin (P = 0.042), non-HDL cholesterol (P = 0.003), total cholesterol/HDL (P = 0.001) and MS (P = 0.001) were important factors predicting mortality on univariate Cox regression, while only MS (P = 0.001) and serum albumin (P = 0.013) were the independent factors predicting mortality on multivariate analysis.

Conclusion: Prevalence of MS in non-diabetic PD patient is high and predicts long term patient and technique survival.

Keywords: metabolic syndrome; non-diabetic patient; peritoneal dialysis.

MeSH terms

  • Adult
  • Aged
  • Blood Pressure
  • Body Mass Index
  • Chi-Square Distribution
  • Comorbidity
  • Dyslipidemias / epidemiology
  • Female
  • Humans
  • Hypertension / epidemiology
  • India / epidemiology
  • Kaplan-Meier Estimate
  • Kidney Diseases / diagnosis
  • Kidney Diseases / mortality
  • Kidney Diseases / therapy*
  • Lipids / blood
  • Male
  • Metabolic Syndrome / blood
  • Metabolic Syndrome / diagnosis
  • Metabolic Syndrome / epidemiology*
  • Metabolic Syndrome / mortality
  • Metabolic Syndrome / physiopathology
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology
  • Odds Ratio
  • Peritoneal Dialysis* / adverse effects
  • Peritoneal Dialysis* / mortality
  • Prevalence
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors
  • Time Factors
  • Treatment Outcome

Substances

  • Lipids