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Insulin resistance as a predictor of cardiovascular disease in patients on peritoneal dialysis
1Department of Nephrology, Huashan Hospital of Fudan University, Shanghai, PR China.
Insights
Insulin resistance significantly increases cardiovascular disease risk and mortality in patients undergoing peritoneal dialysis (PD). Managing insulin resistance may improve outcomes for this vulnerable population.
Area of Science:
- Nephrology
- Cardiovascular Medicine
- Metabolic Disorders
Background:
- Insulin resistance is a known cardiovascular disease (CVD) risk factor in the general population.
- Patients on peritoneal dialysis (PD) frequently develop insulin resistance.
- The impact of insulin resistance on CVD morbidity and mortality in PD patients remains unevaluated.
Purpose of the Study:
- To investigate the association between insulin resistance and cardiovascular disease (CVD) morbidity and mortality in non-diabetic patients on peritoneal dialysis (PD).
Main Methods:
- Prospective cohort study of 66 non-diabetic PD patients.
- Insulin resistance assessed using the Homeostasis Model Assessment (HOMA-IR).
- Follow-up for up to 58 months, with Cox regression analysis for CVD mortality.
Main Results:
- Higher HOMA-IR levels were linked to significantly increased cardiovascular events and mortality.
- Insulin resistance (HOMA-IR) was a significant predictor of CVD events (Risk Ratio: 17.7, p=0.008).
- Even after adjusting for multiple risk factors, HOMA-IR remained an independent predictor of CVD mortality (Hazard Ratio: 14.8, p=0.03).
Conclusions:
- Insulin resistance, measured by HOMA-IR, is an independent predictor of cardiovascular morbidity and mortality in non-diabetic PD patients.
- Reducing insulin resistance is a potential therapeutic target to mitigate CVD risk and enhance survival in this patient group.
Background:
Insulin resistance is associated with multiple risk factors for cardiovascular (CV) disease in the general population. Patients on peritoneal dialysis (PD) are more likely to develop insulin resistance. However, no evaluation of the impact of insulin resistance on CV disease morbidity or mortality in patients on PD has been performed.
Methods:
Our prospective cohort study included all non-diabetic patients on PD at our center (n = 66). Insulin resistance was evaluated at baseline by the homeostasis model assessment method (HOMA-IR) using fasting glucose and insulin levels. The cohort was followed for up to 58 months (median: 41.3 months; interquartile range: 34.3 months). A multivariate Cox model was used to analyze the impact of insulin resistance on CV disease mortality.
Results:
Fourteen CV events occurred in the higher HOMA-IR group [IR-H (HOMA-IR values in the range 2.85 - 19.5), n = 33], but only one event occurred in the lower HOMA-IR group (IR-L (HOMA-IR values in the range 0.83 - 2.71), n = 33) during the follow-up period. Level of HOMA-IR was a significant predictor of CV events [risk ratio: 17.7; 95% confidence interval (CI): 2.10 to 149.5; p = 0.008]. In the IR-H group, 10 patients died (8 CV events), but in the IR-L group, only 4 patients died (1 CV event). Patients in the IR-H group experienced significantly higher CV mortality (hazard ratio: 9.02; 95% CI: 1.13 to 72.2; p = 0.04). Even after adjustments for age, systolic blood pressure, body mass index, C-reactive protein, triglycerides, resistin, and leptin, HOMA-IR remained an independent predictor of CV mortality (hazard ratio: 14.8; 95% CI: 1.22 to 179.1; p = 0.03).
Conclusions:
Insulin resistance assessed using HOMA-IR was an independent predictor of CV morbidity and mortality in a cohort of nondiabetic patients on PD. Insulin resistance is a modifiable risk factor; the reduction of insulin resistance may reduce CV risk and improve survival in this group of patients.
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