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Verona, Patricia M

https://orcid.org/0000-0003-2641-1986

Mayo Clinic

Division of Data Analysis and Integration Services

Citations 24

Patient Outcomes from Lung Cancer and Diabetes Mellitus: A Matched Case–Control Study
Karlin, Nina J. , Amin, Shailja B , Buras, Matthew , Verona, Patricia M , Cook, Curtiss B. , Buras, Matthew R , Kosiorek, Heidi

Future Science OA | September 26, 2017 | Volume: 4 | Issue: 1 | Pages: No page available

10.4155/fsoa-2017-0081 Get It

Implications of prostate cancer with diabetes mellitus on patient outcomes and care: A matched case-control study.
Karlin, Nina J. , Verona, Patricia M , Amin, Shailja B , Kosiorek, Heidi , Cook, Curtiss B.

Journal of Clinical Oncology | March 29, 2017 | Volume: 35 | Issue: 6_suppl | Pages: 101-101

10.1200/jco.2017.35.6_suppl.101 Get It

101 Background: Diabetes mellitus (DM) has been associated with an increased risk of mortality among patients with many types of cancers. The aim of this case-control study was to determine the impact of DM on short-term overall survival in prostate cancer patients, and to examine the impact of prostate cancer on glycemic control in DM. Methods: 276 patients with newly diagnosed prostate cancer from 2007-2014 with DM were identified from the Institutional Cancer Registry and matched to 276 prostate cancer patients without DM according to age and year of prostate cancer diagnosis. The file was linked to the electronic medical record to obtain information on DM and cancer therapies, and laboratory results. Results: The mean age of the entire prostate cancer cohort was 72 years, most (93%) were white, the most common Gleason score (in 52%) was 7, and the majority (56%) were tumor stage 2. No differences in age, race/ethnicity, Gleason score, or tumor stage were detected between patients with and without DM, although DM patients had higher body mass index (P = .031). Among those with DM the mean hemoglobin A1c (HbA1c) was 6.7%. In Kaplan-Meier survival analysis (median follow-up time of 43.7 months), 5-year overall survival was estimated at 88% for DM patients versus 93% in non-DM patients. Hazard ratio (for matched pairs) was 1.64 (95% CI: 0.77-3.46, P = .20). Moreover, mean HbA1c and glucose values among DM cases did not significantly change over 1 year (P ≥ .13). Mean glucose among DM patients was significantly (p < 0.01) higher compared to non-DM patients. Conclusions: DM did not adversely impact survival in prostate cancer patients. In addition, prostate cancer or its treatment does not appear to affect glycemic control. Both patients and their providers can be reassured that the two concurrent diagnoses do not adversely interact to worsen short term outcomes.
Breast cancer patients with diabetes mellitus: Defining the population and assessing outcomes.
Karlin, Nina J. , Reddy, Sravan , Verona, Patricia M , Dueck, Amylou C. , Cook, Curtiss B.

Journal of Clinical Oncology | February 24, 2017 | Volume: 31 | Issue: 26_suppl | Pages: 137-137

10.1200/jco.2013.31.26_suppl.137 Get It

137 Background: Diabetes has been associated with an increased risk of mortality among patients with many types of cancers. Methods: We performed a case-control study of 109 breast cancer patients to determine the impact of diabetes on disease recurrence and survival. These 109 patients diagnosed with invasive breast cancer during 2007-2011 with diabetes were identified from the institutional Cancer Registry and matched to 109 breast cancer patients without diabetes according to age, race/ethnicity and year of diagnosis. Statistical tests included paired t-tests, McNemar’s tests, and stratified Cox regression. Results: The median ages of those with and without diabetes were 68 years, and 91% in both groups were white (both matched). Patients with and without diabetes were not significantly different in terms of tumor grade, cancer stage, estrogen or progesterone receptor status, HER2 neu status, marital and employment status, smoking use, use of adjuvant chemotherapy, and steroid treatment (all P >.4). Patients with diabetes reported less use of alcohol (50% vs 64%, P=.04), and had greater BMI (79% overweight/obese vs 58%, P= .002). Survival analysis demonstrated no differences in survival from initial breast cancer diagnosis (HR=1.25, 95% CI 0.49-3.17) with median follow-up of 2.2 years (range 0.1-4.9), and no differences in recurrence-free survival (HR=1.00, 95% CI 0.14-7.10) though very few deaths and recurrences were observed. Within the diabetes group, 96 (88%) had type 2 diabetes and 97/106 (92%, 3 unknown) had diabetes pre-existing to cancer diagnosis. Initial diabetes therapy included diet (33, 30%), oral therapy (48, 44%), insulin (21, 19%), or oral+insulin (6, 6%). 7 patients required a change in diabetes therapy within 1 year of cancer diagnosis with 3 patients starting insulin. 32/70 (46%) with available lab data had 1 or more A1C >/=7 within 1 year of cancer diagnosis. Conclusions: In this retrospective, carefully matched case-control study, we developed a comprehensive profile of the patient population with newly diagnosed breast cancer and diabetes. Diabetes did not appear to impact mortality or recurrence-free survival based on descriptive estimates in this small breast cancer cohort.
Hemoglobin A1c Testing Alone Does Not Sufficiently Identify Patients With Prediabetes
Bersoux, Sophie , Burritt, Mary F., Hernandez, James S , Verona, Patricia M , Larson, Marcia H., LaRosa, Carolyn S., Cook, Curtiss B. , Wu, Qing Feng

American Journal of Clinical Pathology | April 18, 2011 | Volume: 135 | Issue: 5 | Pages: 674-677

10.1309/ajcpjbg0wyrahn0r Get It

Abstract Whether hemoglobin A1c (HbA1c) values are suitable for diagnosing diabetes has been debated. We sought to assess the prevalence of elevated HbA1c levels in a prediabetes patient population. Oral glucose tolerance tests and HbA1c levels were analyzed for patients entering a diabetes prevention program between January 1, 2007, and September 13, 2009. We calculated the percentage of patients with impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) who had HbA1c values in the 6.0% to 6.4% range or in the 5.7% to 6.4% range. The mean age of the 242 patients was 62 years; 64.0% were women, and 88.0% were white. Isolated IFG was detected in about 56.2% of patients and combined IFG and IGT in about 37.2%. Only 28.5% of patients had HbA1c values in the 6.0% to 6.4% range, whereas 65.3% had values in the 5.7% to 6.4% range. Our data suggest that reliance on HbA1c testing alone to identify candidates for a diabetes prevention program would miss a substantial number of eligible patients.