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Survival and glycemic control in patients with coexisting melanoma and diabetes mellitus.

ABSTRACT: Aim:Given the lack of data in the literature, we examined the impact of diabetes mellitus (DM) on melanoma survival and the impact of melanoma on glycemic control. Materials & methods:Patients with melanoma with and without DM were matched 1:1 (2005-2016). Kaplan-Meier analysis was used to estimate overall survival and progression-free survival (PFS). Mixed models compared hemoglobin A1c (HbA1c) and glucose measures over time. Results:Mean HbA1c during the year after cancer diagnosis was 6.7%. The 5-year PFS rate was 89% (95% CI: 81-99%) for patients with DM and 63% (95% CI: 51-79%) for patients without DM (p = 0.02). Conclusion:Melanoma did not adversely impact glycemic control. The DM did not adversely impact survival of patients with melanoma, although increased PFS for melanoma was seen in individuals with DM.

SUBMITTER: Karlin NJ

PROVIDER: S-EPMC6426167 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Survival and glycemic control in patients with coexisting melanoma and diabetes mellitus.

Karlin Nina J NJ Mangold Aaron R AR Amin Shailja B SB Kosiorek Heidi E HE Buras Matthew R MR Verona Patricia M PM Cook Curtiss B CB

Future science OA 20190307 3

<h4>Aim</h4>Given the lack of data in the literature, we examined the impact of diabetes mellitus (DM) on melanoma survival and the impact of melanoma on glycemic control.<h4>Materials & methods</h4>Patients with melanoma with and without DM were matched 1:1 (2005-2016). Kaplan-Meier analysis was used to estimate overall survival and progression-free survival (PFS). Mixed models compared hemoglobin A<sub>1c</sub> (HbA<sub>1c</sub>) and glucose measures over time.<h4>Results</h4>Mean HbA<sub>1c</ ...[more]

PMID: 30906566

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Project description:BackgroundDiabetes mellitus (DM) is a frequent comorbidity in patients with cancer. This study aimed to evaluate the prognosis of advanced non-small cell lung cancer (NSCLC) patients with DM and to assess whether an optimal glycemic control improves overall survival (OS).MethodsA total of 1279 advanced NSCLC patients including 300 (23.5%) with preexisting DM were retrospectively reviewed. The continuous relationship between glycated hemoglobin A1C (HbA1c) level and OS was analyzed by restricted cubic spline (RCS) function. Optimal HbA1c cut-off point was determined using X-tile analysis. Survival was analyzed with the Kaplan-Meier method and compared among groups stratified by diabetes status and HbA1c. Multivariable Cox proportional hazards regression analysis was employed to identify prognostic factors for OS after adjusting for baseline characteristics.ResultsDM and non-DM patients had similar OS (median (95% CI): 22.85 (20.05-26.73) vs. 22.22 (20.35-24.76) months, P=0.950). The multivariate Cox regression analyses showed that DM status was not a prognostic factor for OS (HR: 0.952, 95% CI: 0.808-1.122, P=0.559). However, there existed a non-linear but generally positive relationship between the elevated HbA1c level and increased risk of overall mortality. HbA1c > 6.6% was a negative prognostic factor for OS (HR: 1.593, 95% CI: 1.113-2.280, P=0.011). The median OS (95% CI) for nondiabetic patients, DM patients with HbA1c ≤6.6% and those with HbA1c > 6.6% was 22.22 (20.01-24.43), 25.28 (21.79-28.77) and 15.45 (7.57-23.33) months, respectively. Well-controlled DM patients had a comparable crude OS (HR (95% CI): 0.90 (0.76-1.08), P=0.273] compared to nondiabetic patients while patients with HbA1c>6.6% had a worse crude OS than patients without DM (HR (95% CI): 1.70 (1.24-2.34), P=0.001]. The survival benefit of good HbA1c control was prominent in all subgroups.ConclusionImpaired glycemic level negatively affects survival for patients with advanced NSCLC while proper glycemic control with HbA1c ≤6.6% improves the OS.

Project description:Context: Depression is common in people with diabetes and is associated with poor glycemic control. Evidence suggests that certain antidepressants (AD) increase the risk of poor control. Few population-based studies have examined the impact of individual ADs on glycemic control. This study's objective is to measure the impact of Citalopram, Amitriptyline, Venlafaxine, Trazodone and Escitalopram on glycated hemoglobin (HbA1c) in Canadian primary care patients with diabetes. Methods: A retrospective study of electronic medical records (EMR) from 115 primary care practices across Canada was undertaken. Data were obtained from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). The sample population comprised 1,084 diabetic patients with 1,127 prescriptions of one of the five selected ADs and with baseline and post-exposure HbA1c measurements. Generalized linear mixed models were computed to estimate the effect of the ADs on HbA1c. Results: Mean HbA1c ratios for Amitriptyline, Venlafaxine, Trazodone and Escitalopram were all numerically lower than Citalopram. The confidence intervals included the minimum detectable effect, however the differences were not statistically significant. The lowest clinically relevant HbA1c ratios, relative to Citalopram, were found in patients prescribed Trazodone and Escitalopram. Accounting for the prescription of Trazodone for indications other than depression, this research suggests that Escitalopram may be safer than Citalopram for people with diabetes and depression, in terms of its effect on blood glucose. Conclusion: This study can inform future research examining the relationship between ADs and blood glucose and provides insight into the limitations pertaining to the use of health data in health research. Future research should seek to control for, across multiple time points: depression symptoms, depression severity, depression duration, weight, diabetes medication, tobacco and alcohol consumption and other medications with a known impact on blood glucose.

Dataset Information

Survival and glycemic control in patients with coexisting melanoma and diabetes mellitus.

Publications

Survival and glycemic control in patients with coexisting melanoma and diabetes mellitus.

Similar Datasets

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