Carlos E Mendez1, Rebekah J Walker2,3, Christian R Eiler3, Basem M Mishriky4, Leonard E Egede2,3. 1. Medical College of Wisconsin, Director Diabetes Program, Zablocki VA Medical Center, Milwaukee, WI, USA. 2. Division of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. 3. Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA. 4. Department of Internal Medicine, East Carolina University, Greenville, NC, USA.
Abstract
Objective: To investigate the relationship between insulin use and clinical outcomes in patients with type 2 diabetes stratified by level of insulin resistance (IR). Methods: Cross sectional analysis of the NHANES database from 2001 to 2010. Sample was comprised of 3,124 individuals with diabetes, representing a US population of 16,713,593. Insulin use was self-reported. Fasting glucose and insulin levels were used to assess IR by HOMA-IR determination. Subjects were allocated within High or Low HOMA-IR groups based on the sample median. Outcome variables were mortality, major adverse cardiovascular events (MACE), and diabetic kidney disease (DKD). Logistic regression adjusting for covariates including glycemic control and comorbidities were performed. Results: In the adjusted model, insulin use was significantly associated with increased risk of mortality (OR: 2.39, 95% CI: 1.136-5.010) having a MACE (OR: 2.45, 95% CI: 1.137-4.550), and developing DKD (OR: 1.89, 95% CI: 1.119-3.198) in the high HOMA-IR group. The association between insulin use and the outcome variables was not statistically significant in patients within the low HOMA-IR group.Conclusions: Insulin use was associated with increased risk of mortality, MACE, and DKD in patients within the high IR group, but the association was not significant within the low IR group. Our findings indicate that insulin therapy could be less beneficial in patients with high IR. Prospective studies are needed to identify subsets of individuals with type 2 diabetes who would benefit the most from insulin therapy, and for which patients, insulin should be avoided.
Objective: To investigate the relationship between insulin use and clinical outcomes in patients with type 2 diabetes stratified by level of insulin resistance (IR). Methods: Cross sectional analysis of the NHANES database from 2001 to 2010. Sample was comprised of 3,124 individuals with diabetes, representing a US population of 16,713,593. Insulin use was self-reported. Fasting glucose and insulin levels were used to assess IR by HOMA-IR determination. Subjects were allocated within High or Low HOMA-IR groups based on the sample median. Outcome variables were mortality, major adverse cardiovascular events (MACE), and diabetic kidney disease (DKD). Logistic regression adjusting for covariates including glycemic control and comorbidities were performed. Results: In the adjusted model, insulin use was significantly associated with increased risk of mortality (OR: 2.39, 95% CI: 1.136-5.010) having a MACE (OR: 2.45, 95% CI: 1.137-4.550), and developing DKD (OR: 1.89, 95% CI: 1.119-3.198) in the high HOMA-IR group. The association between insulin use and the outcome variables was not statistically significant in patients within the low HOMA-IR group.Conclusions: Insulin use was associated with increased risk of mortality, MACE, and DKD in patients within the high IR group, but the association was not significant within the low IR group. Our findings indicate that insulin therapy could be less beneficial in patients with high IR. Prospective studies are needed to identify subsets of individuals with type 2 diabetes who would benefit the most from insulin therapy, and for which patients, insulin should be avoided.
Authors: Stanley S Schwartz; Solomon Epstein; Barbara E Corkey; Struan F A Grant; James R Gavin; Richard B Aguilar Journal: Diabetes Care Date: 2016-02 Impact factor: 19.112
Authors: Gregory G Schwartz; Stephen J Nicholls; Peter P Toth; Michael Sweeney; Christopher Halliday; Jan O Johansson; Norman C W Wong; Ewelina Kulikowski; Kamyar Kalantar-Zadeh; Henry N Ginsberg; Kausik K Ray Journal: Cardiovasc Diabetol Date: 2021-06-22 Impact factor: 9.951