3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Association of Thyroid Hormone Treatment Intensity With Cardiovascular Mortality Among US Veterans

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Key Points

          Question

          Is there an association between the intensity of thyroid hormone treatment and cardiovascular mortality?

          Findings

          In this population-based cohort study of 705 307 adults who received thyroid hormone treatment, 10.8% died of cardiovascular causes. Both exogenous hyperthyroidism and exogenous hypothyroidism were associated with increased risk of cardiovascular mortality after adjusting for a comprehensive set of demographic and traditional cardiovascular risk factors.

          Meaning

          These findings suggest that the intensity of thyroid hormone treatment may be a modifiable risk factor for cardiovascular mortality.

          Abstract

          Importance

          Cardiovascular disease is the leading cause of death in the United States. Synthetic thyroid hormones are among the 3 most commonly prescribed medications, yet studies evaluating the association between the intensity of thyroid hormone treatment and cardiovascular mortality are scarce.

          Objective

          To evaluate the association between thyroid hormone treatment intensity and cardiovascular mortality.

          Design, Setting, and Participants

          This retrospective cohort study used data on 705 307 adults who received thyroid hormone treatment from the Veterans Health Administration Corporate Data Warehouse between January 1, 2004, and December 31, 2017, with a median follow-up of 4 years (IQR, 2-9 years). Two cohorts were studied: 701 929 adults aged 18 years or older who initiated thyroid hormone treatment with at least 2 thyrotropin measurements between treatment initiation and either death or the end of the study period, and, separately, 373 981 patients with at least 2 free thyroxine (FT 4) measurements. Data were merged with the National Death Index for mortality ascertainment and cause of death, and analysis was conducted from March 25 to September 2, 2020.

          Exposures

          Time-varying serum thyrotropin and FT 4 levels (euthyroidism: thyrotropin level, 0.5-5.5 mIU/L; FT 4 level, 0.7-1.9 ng/dL; exogenous hyperthyroidism: thyrotropin level, <0.5 mIU/L; FT 4 level, >1.9 ng/dL; exogenous hypothyroidism: thyrotropin level, >5.5 mIU/L; FT 4 level, <0.7 ng/dL).

          Main Outcomes and Measures

          Cardiovascular mortality (ie, death from cardiovascular causes, including myocardial infarction, heart failure, or stroke). Survival analyses were performed using Cox proportional hazards regression models using serum thyrotropin and FT 4 levels as time-varying covariates.

          Results

          Of the 705 307 patients in the study, 625 444 (88.7%) were men, and the median age was 67 years (IQR, 57-78 years; range, 18-110 years). Overall, 75 963 patients (10.8%) died of cardiovascular causes. After adjusting for age, sex, traditional cardiovascular risk factors (eg, hypertension, smoking, and previous cardiovascular disease or arrhythmia), patients with exogenous hyperthyroidism (eg, thyrotropin levels, <0.1 mIU/L: adjusted hazard ratio [AHR], 1.39; 95% CI, 1.32-1.47; FT 4 levels, >1.9 ng/dL: AHR, 1.29; 95% CI, 1.20-1.40) and patients with exogenous hypothyroidism (eg, thyrotropin levels, >20 mIU/L: AHR, 2.67; 95% CI, 2.55-2.80; FT 4 levels, <0.7 ng/dL: AHR, 1.56; 95% CI, 1.50-1.63) had increased risk of cardiovascular mortality compared with individuals with euthyroidism.

          Conclusions and Relevance

          This study suggests that both exogenous hyperthyroidism and exogenous hypothyroidism were associated with increased risk of cardiovascular mortality. These findings emphasize the importance of maintaining euthyroidism to decrease cardiovascular risk and death among patients receiving thyroid hormone treatment.

          Abstract

          This cohort study uses data from the Veterans Health Administration Corporate Data Warehouse database to evaluate the association between the intensity of thyroid hormone treatment and cardiovascular mortality.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: found
          • Article: not found

          Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

          Circulation, 139(10)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Lifetime risks of cardiovascular disease.

            The lifetime risks of cardiovascular disease have not been reported across the age spectrum in black adults and white adults. We conducted a meta-analysis at the individual level using data from 18 cohort studies involving a total of 257,384 black men and women and white men and women whose risk factors for cardiovascular disease were measured at the ages of 45, 55, 65, and 75 years. Blood pressure, cholesterol level, smoking status, and diabetes status were used to stratify participants according to risk factors into five mutually exclusive categories. The remaining lifetime risks of cardiovascular events were estimated for participants in each category at each age, with death free of cardiovascular disease treated as a competing event. We observed marked differences in the lifetime risks of cardiovascular disease across risk-factor strata. Among participants who were 55 years of age, those with an optimal risk-factor profile (total cholesterol level, <180 mg per deciliter [4.7 mmol per liter]; blood pressure, <120 mm Hg systolic and 80 mm Hg diastolic; nonsmoking status; and nondiabetic status) had substantially lower risks of death from cardiovascular disease through the age of 80 years than participants with two or more major risk factors (4.7% vs. 29.6% among men, 6.4% vs. 20.5% among women). Those with an optimal risk-factor profile also had lower lifetime risks of fatal coronary heart disease or nonfatal myocardial infarction (3.6% vs. 37.5% among men, <1% vs. 18.3% among women) and fatal or nonfatal stroke (2.3% vs. 8.3% among men, 5.3% vs. 10.7% among women). Similar trends within risk-factor strata were observed among blacks and whites and across diverse birth cohorts. Differences in risk-factor burden translate into marked differences in the lifetime risk of cardiovascular disease, and these differences are consistent across race and birth cohorts. (Funded by the National Heart, Lung, and Blood Institute.).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Insights from advanced analytics at the Veterans Health Administration.

              Health care has lagged behind other industries in its use of advanced analytics. The Veterans Health Administration (VHA) has three decades of experience collecting data about the veterans it serves nationwide through locally developed information systems that use a common electronic health record. In 2006 the VHA began to build its Corporate Data Warehouse, a repository for patient-level data aggregated from across the VHA's national health system. This article provides a high-level overview of the VHA's evolution toward "big data," defined as the rapid evolution of applying advanced tools and approaches to large, complex, and rapidly changing data sets. It illustrates how advanced analysis is already supporting the VHA's activities, which range from routine clinical care of individual patients--for example, monitoring medication administration and predicting risk of adverse outcomes--to evaluating a systemwide initiative to bring the principles of the patient-centered medical home to all veterans. The article also shares some of the challenges, concerns, insights, and responses that have emerged along the way, such as the need to smoothly integrate new functions into clinical workflow. While the VHA is unique in many ways, its experience may offer important insights for other health care systems nationwide as they venture into the realm of big data.
                Bookmark

                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                12 May 2022
                May 2022
                12 May 2022
                : 5
                : 5
                : e2211863
                Affiliations
                [1 ]Division of Endocrinology and Metabolism, Department of Internal Medicine, University of North Carolina, Chapel Hill
                [2 ]Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor
                [3 ]Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor
                [4 ]School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor
                [5 ]Institute of Gerontology, University of Michigan, Ann Arbor
                Author notes
                Article Information
                Accepted for Publication: March 27, 2022.
                Published: May 12, 2022. doi:10.1001/jamanetworkopen.2022.11863
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Evron JM et al. JAMA Network Open.
                Corresponding Author: Maria Papaleontiou, MD, Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, North Campus Research Complex, 2800 Plymouth Rd, Bldg 16, Room 453S, Ann Arbor, MI 48109 ( mpapaleo@ 123456med.umich.edu ).
                Author Contributions: Mr Reyes-Gastelum and Dr Papaleontiou had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Evron, Papaleontiou.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Evron, Reyes-Gastelum, Banerjee, Papaleontiou.
                Critical revision of the manuscript for important intellectual content: Evron, Hummel, Haymart, Banerjee, Papaleontiou.
                Statistical analysis: Evron, Reyes-Gastelum, Banerjee.
                Obtained funding: Papaleontiou.
                Administrative, technical, or material support: Haymart, Papaleontiou.
                Supervision: Papaleontiou.
                Conflict of Interest Disclosures: Dr Hummel reported serving as a clinical trial site principal investigator for Pfizer, Corvia Medical, and Axon Therapeutics; serving as a clinical trial site coinvestigator for Novartis; and receiving grants from the Veterans Health Administration and grants from the National Institutes of Health outside the submitted work. No other disclosures were reported.
                Funding/Support: This work was supported by the National Institute on Aging of the National Institutes of Health under award K08 AG049684 and by a pilot grant cofunded by the Claude D. Pepper Older Americans Independence Center, the Michigan Institute for Clinical and Health Research, and the Michigan Biology of Cardiovascular Aging (Dr Papaleontiou).
                Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Additional Contributions: The authors would like to acknowledge Richard Evans, MS, US Department of Veterans Affairs, VA Ann Arbor, Jennifer Burns, MHSA, US Department of Veterans Affairs, VA Ann Arbor, and Wyndy Wiitala, PhD, VA Ann Arbor Healthcare System, for their help with the statistical analyses; they were not compensated for their contributions. The authors would also like to acknowledge Brittany Gay, BA, University of Michigan, for her assistance with manuscript formatting and preparation for submission; she was compensated for her contribution.
                Additional Information: Restrictions apply to the availability of some or all data generated or analyzed during this study to preserve patient confidentiality or because they were used under license. The corresponding author will on request detail the restrictions and any conditions under which access to some data may be provided.
                Article
                zoi220352
                10.1001/jamanetworkopen.2022.11863
                9099430
                35552725
                b4fe804a-e11f-4995-8041-3f47af8396f2
                Copyright 2022 Evron JM et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 30 November 2021
                : 27 March 2022
                Categories
                Research
                Original Investigation
                Online Only
                Diabetes and Endocrinology

                Comments

                Comment on this article