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Garry JD, Kundu S, Annis J, Alcorn C, Eden S, Smith E, Greevy R, Maron BA, Freiberg M, Brittain EL. Incidence of Pulmonary Hypertension in the Echocardiography Referral Population. Ann Am Thorac Soc 2025; 22:679-688. [PMID: 39680898 PMCID: PMC12051908 DOI: 10.1513/annalsats.202407-716oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 12/13/2024] [Indexed: 12/18/2024] Open
Abstract
Rationale: Incidence rates for pulmonary hypertension using diagnostic data in patients with cardiopulmonary disease are not known. Objectives: To determine incidence rates of, risk factors for, and mortality hazard associated with pulmonary hypertension among patients referred for transthoracic echocardiography. Methods: A retrospective cohort study was conducted using data from the U.S. Department of Veterans Affairs (VA) (1999-2020) and Vanderbilt University Medical Center (1994-2020). Pulmonary hypertension was defined as pulmonary artery systolic pressure >35 mm Hg, with prevalent cases excluded. Heart failure and chronic obstructive pulmonary disease were the primary exposures of interest. The primary outcome was incident pulmonary hypertension. Secondarily, we examined mortality rate after incident diagnosis. Results: We identified 245,067 VA patients (94% men, 20% Black) and 117,526 Vanderbilt patients (46% men, 11% Black) without pulmonary hypertension, of whom 38,882 VA patients and 8,061 Vanderbilt patients developed pulmonary hypertension. Only 18-19% of patients with echocardiography-based pulmonary hypertension also had diagnostic codes. The hazard of pulmonary hypertension was fourfold higher in patients with heart failure and chronic obstructive pulmonary disease compared with patients without either. Mortality rates increased from pulmonary artery systolic pressure of 35-45 mm Hg and then plateaued. Independent risk factors for incident pulmonary hypertension included older age, male sex, Black race, and cardiometabolic comorbidities. Conclusions: Pulmonary hypertension incidence rates estimated by diagnostic data are higher than code-based rates. Heart failure and chronic obstructive pulmonary disease strongly associate with incident pulmonary hypertension. Pulmonary artery systolic pressure >45 mm Hg at diagnosis is associated with high mortality. New pulmonary hypertension on echocardiography is an important prognostic sign.
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Affiliation(s)
| | - Suman Kundu
- Vanderbilt Institute of Clinical and Translational Research, and
| | - Jeffrey Annis
- Vanderbilt Institute of Clinical and Translational Research, and
| | - Chuck Alcorn
- School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Svetlana Eden
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Emily Smith
- Vanderbilt Institute of Clinical and Translational Research, and
| | - Robert Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Bradley A. Maron
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- The University of Maryland-Institute for Health Computing, Bethesda, Maryland; and
| | - Matthew Freiberg
- Division of Cardiovascular Medicine
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee
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2
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Streed CG, Duncan MS, Heier KR, Workman TE, Beach LB, Caceres BA, O'Leary JR, Skanderson M, Goulet JL. Prevalent Atherosclerotic Cardiovascular Disease Among Veterans by Sexual Orientation. J Am Heart Assoc 2024; 13:e036898. [PMID: 39508159 DOI: 10.1161/jaha.124.036898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 10/02/2024] [Indexed: 11/08/2024]
Abstract
BACKGROUND Seven million lesbian, gay, and bisexual (LGB) adults will be aged >50 years by 2030; assessing and addressing their risk for cardiovascular disease is critical. METHODS AND RESULTS We analyzed a nationwide cohort using the Veterans Health Administration data. Sexual orientation (SO) was classified via a validated natural language processing algorithm. Prevalent atherosclerotic cardiovascular disease (ASCVD) (history of acute myocardial infarction, ischemic stroke, or revascularization) was identified via International Classification of Diseases, Ninth and Tenth Revision (ICD-9 and ICD-10) codes. The index date was the date of the first primary care appointment on or after October 1, 2009. We ascertained covariates and prevalent ASCVD in the year following the index date; the baseline date was 1 year after the index date. We calculated sample statistics by sex and SO and used logistic regression analyses to assess associations between SO and prevalent ASCVD. Of 1 102 193 veterans with natural language processing-defined SO data, 170 861 were classified as LGB. Prevalent ASCVD was present among 25 031 (4105 LGB). Adjusting for age, sex, race, and Hispanic ethnicity, LGB veterans had 1.24 [1.19-1.28] greater odds of prevalent ASCVD versus non-LGB identified veterans. This association remained significant upon additional adjustment for the ASCVD risk factors substance use, anxiety, and depression (odds ratio [OR],1.17 [95% CI, 1.13-1.21]). Among a subset with self-reported SO, findings were consistent (OR, 1.53 [95% CI, 1.20-1.95]). CONCLUSIONS This is one of the first studies to examine cardiovascular risk factors and disease of the veteran population stratified by natural language processing-defined SO. Future research must explore psychological, behavioral, and physiological mechanisms that result in poorer cardiovascular health among LGB veterans.
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Affiliation(s)
- Carl G Streed
- Department of Medicine, Section of General Internal Medicine Boston University Chobanian and Avedisian School of Medicine Boston MA USA
- GenderCare Center Boston Medical Center Boston MA USA
| | | | - Kory R Heier
- Department of Biostatistics University of Kentucky Lexington KY USA
| | - T Elizabeth Workman
- Biomedical Informatics Center George Washington University Washington DC USA
- Washington DC VA Medical Center Washington DC USA
| | - Lauren B Beach
- Department of Medical Social Sciences Feinberg School of Medicine, Northwestern University Chicago IL USA
| | - Billy A Caceres
- School of Nursing Columbia University Irving Medical Center New York NY USA
| | - John R O'Leary
- Department of Internal Medicine Yale School of Medicine New Haven CT USA
- Veterans Affairs Connecticut Healthcare System West Haven CT USA
| | - Melissa Skanderson
- Department of Internal Medicine Yale School of Medicine New Haven CT USA
- Veterans Affairs Connecticut Healthcare System West Haven CT USA
| | - Joseph L Goulet
- Veterans Affairs Connecticut Healthcare System West Haven CT USA
- Department of Emergency Medicine Yale School of Medicine New Haven CT USA
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3
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Sung ML, Eden SK, Becker WC, Crystal S, Duncan MS, Gordon KS, Kerns RD, Kundu S, Freiberg M, So-Armah KA, Edelman EJ. The Association of Prescribed Opioids and Incident Cardiovascular Disease. THE JOURNAL OF PAIN 2024; 25:104436. [PMID: 38029949 PMCID: PMC11058015 DOI: 10.1016/j.jpain.2023.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 11/16/2023] [Accepted: 11/19/2023] [Indexed: 12/01/2023]
Abstract
Opioid prescribing remains common despite known overdose-related harms. Less is known about links to nonoverdose morbidity. We determined the association between prescribed opioid receipt with incident cardiovascular disease (CVD) using data from the Veterans Aging Cohort Study, a national prospective cohort of Veterans with/without Human Immunodeficiency Virus (HIV) receiving Veterans Health Administration care. Selected participants had no/minimal prior exposure to prescription opioids, no opioid use disorder, and no severe illness 1 year after the study start date (baseline period). We ascertained prescription opioid exposure over 3 years after the baseline period using outpatient pharmacy fill/refill data. Incident CVD ascertainment began at the end of the prescribed opioid exposure ascertainment period until the first incident CVD event, death, or September 30, 2015. We used adjusted Cox proportional hazards regression models with matching weights using propensity scores for opioid receipt to estimate CVD risk. Among 49,077 patients, 30% received opioids; the median age was 49 years, 97% were male, 49% were Black, and 47% were currently smoking. Prevalence of hypertension, diabetes, current smoking, alcohol and cocaine use disorder, and depression was higher in patients receiving opioids versus those not but were well-balanced by matching weights. Unadjusted CVD incidence rates per 1,000-person-years were higher among those receiving opioids versus those not: 17.4 (95% confidence interval [CI], 16.5-18.3) versus 14.7 (95% CI, 14.2-15.3). In adjusted analyses, those receiving opioids versus those not had an increased hazard of incident CVD (adjusted hazard ratio 1.16 [95% CI, 1.08-1.24]). Prescribed opioids were associated with increased CVD incidence, making opioids a potential modifiable CVD risk factor. PERSPECTIVE: In a propensity score weighted analysis of Veterans Administration data, prescribed opioids compared to no opioids were associated with an increased hazard of incident CVD. Higher opioid doses compared with lower doses were associated with increased hazard of incident CVD. Opioids are a potentially modifiable CVD risk factor.
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Affiliation(s)
- Minhee L Sung
- Pain Research, Informatics, Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut; Yale Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Svetlana K Eden
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - William C Becker
- Pain Research, Informatics, Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut; Yale Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Stephen Crystal
- Center for Health Services Research, Rutgers University, New Brunswick, New Jersey
| | - Meredith S Duncan
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biostatistics, University of Kentucky, Lexington, Kentucky
| | - Kirsha S Gordon
- Department of Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Robert D Kerns
- Pain Research, Informatics, Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut; Department of Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut; Departments of Psychiatry, Neurology and Psychology, Yale University, New Haven, Connecticut
| | - Suman Kundu
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Matthew Freiberg
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kaku A So-Armah
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - E Jennifer Edelman
- Yale Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut; Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, Connecticut
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4
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Gulanski BI, Goulet JL, Radhakrishnan K, Ko J, Li Y, Rajeevan N, Lee KM, Heberer K, Lynch JA, Streja E, Mutalik P, Cheung KH, Concato J, Shih MC, Lee JS, Aslan M. Metformin prescription for U.S. veterans with prediabetes, 2010-2019. J Investig Med 2024; 72:139-150. [PMID: 37668313 DOI: 10.1177/10815589231201141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Affecting an estimated 88 million Americans, prediabetes increases the risk for developing type 2 diabetes mellitus (T2DM), and independently, cardiovascular disease, retinopathy, nephropathy, and neuropathy. Nevertheless, little is known about the use of metformin for diabetes prevention among patients in the Veterans Health Administration, the largest integrated healthcare system in the U.S. This is a retrospective observational cohort study of the proportion of Veterans with incident prediabetes who were prescribed metformin at the Veterans Health Administration from October 2010 to September 2019. Among 1,059,605 Veterans with incident prediabetes, 12,009 (1.1%) were prescribed metformin during an average 3.4 years of observation after diagnosis. Metformin prescribing was marginally higher (1.6%) among those with body mass index (BMI) ≥35 kg/m2, age <60 years, HbA1c≥6.0%, or those with a history of gestational diabetes, all subgroups at a higher risk for progression to T2DM. In a multivariable model, metformin was more likely to be prescribed for those with BMI ≥35 kg/m2 incidence rate ratio [IRR] 2.6 [95% confidence intervals (CI): 2.1-3.3], female sex IRR, 2.4 [95% CI: 1.8-3.3], HbA1c≥6% IRR, 1.93 [95% CI: 1.5-2.4], age <60 years IRR, 1.7 [95% CI: 1.3-2.3], hypertriglyceridemia IRR, 1.5 [95% CI: 1.2-1.9], hypertension IRR, 1.5 [95% CI: 1.1-2.1], Major Depressive Disorder IRR, 1.5 [95% CI: 1.1-2.0], or schizophrenia IRR, 2.1 [95% CI: 1.2-3.8]. Over 20% of Veterans with prediabetes attended a comprehensive structured lifestyle modification clinic or program. Among Veterans with prediabetes, metformin was prescribed to 1.1% overall, a proportion that marginally increased to 1.6% in the subset of individuals at highest risk for progression to T2DM.
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Affiliation(s)
- Barbara I Gulanski
- Department of Medicine, Endocrinology, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Endocrinology, Yale University School of Medicine, New Haven, CT, USA
| | - Joseph L Goulet
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- Pain, Research, Informatics, Multi-morbidities and Education Center (PRIME), West Haven, CT, USA
| | - Krishnan Radhakrishnan
- National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD, USA
| | - John Ko
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Yuli Li
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Nallakkandi Rajeevan
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Kent Heberer
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julie A Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Elani Streja
- Department of Medicine, Nephrology, Hypertension and Transplant, University of California-Irvine School of Medicine, Long Beach, CA, USA
| | - Pradeep Mutalik
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kei-Hoi Cheung
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - John Concato
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Mei-Chiung Shih
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennifer S Lee
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mihaela Aslan
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
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5
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Mezzacappa C, Mahmud N, Serper M, John BV, Taddei TH, Kaplan DE. HCC is associated with diabetes and longitudinal blood glucose control in a national cohort with cirrhosis. Hepatol Commun 2023; 7:e0344. [PMID: 38055642 PMCID: PMC10984661 DOI: 10.1097/hc9.0000000000000344] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/05/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Diabetes is associated with HCC; however, the impact of longitudinal blood glucose (BG) control on HCC risk in cirrhosis is not well known. We investigated this knowledge gap in a cohort of United States Veterans with cirrhosis from 2015 to 2021. METHODS We used repeated hemoglobin A1c measurements to categorize follow-up time according to BG control (defined as hemoglobin A1c < 7%) state over time: uncontrolled, nonsustained control (≤2 y), or sustained control (>2 y). We performed a sensitivity analysis using hemoglobin A1c < 8% to define BG control. We used Fine and Gray Cox proportional hazards regression with death and transplant as competing events to compare rates of incident HCC. RESULTS Our study included 81,907 individuals, 56.2% of whom had diabetes at baseline. There were 8,002 incident HCCs. The rate of HCC was 18% higher in diabetes (95% CI: 13% - 24%), and the relative increase in the rate of HCC varied by etiology of cirrhosis from nonsignificant (HCV) to an increase of 120% (HBV). Uncontrolled and nonsustained BG control was associated with 1.80 (95% CI: 1.70-1.91) and 2.34 (95% CI: 2.21-2.48) times the rate of HCC compared to sustained BG control, respectively. Using Hgb A1c < 8% to define BG control, HCC rates in uncontrolled and nonsustained BG control were 2.43 (2.28-2.58) and 2.23 (2.11-2.36) times that observed in sustained BG control. CONCLUSIONS Associations between diabetes and HCC in cirrhosis vary according to the longitudinal BG control state. Inadequate BG control is consistently associated with a higher risk of HCC, and long-term BG control should be considered in comprehensive cirrhosis care.
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Affiliation(s)
- Catherine Mezzacappa
- Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
- VA Connecticut Healthcare System, Department of Internal Medicine West Haven, Connecticut, USA
| | - Nadim Mahmud
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Marina Serper
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Binu V. John
- University of Miami School of Medicine, Miami, Florida, USA
- Bruce W Carter VA Medical Center, Miami, Florida, USA
| | - Tamar H. Taddei
- Department of Internal Medicine, Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
- VA Connecticut Healthcare System, Department of Internal Medicine West Haven, Connecticut, USA
| | - David E. Kaplan
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Medicine, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
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6
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Clarke SL, Tcheandjieu C, Hilliard AT, Lee KM, Lynch J, Chang KM, Miller D, Knowles JW, O’Donnell C, Tsao P, Rader DJ, Wilson PW, Sun YV, Gaziano M, Assimes TL, VA Million Veteran Program. Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Clinically Observed Longitudinal Cholesterol Exposure. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2022; 15:e003501. [PMID: 35143253 PMCID: PMC10593360 DOI: 10.1161/circgen.121.003501] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 01/17/2022] [Indexed: 01/21/2023]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) genetic variants confer risk for coronary artery disease independent of LDL-C (low-density lipoprotein cholesterol) when considering a single measurement. In real clinical settings, longitudinal LDL-C data are often available through the electronic health record. It is unknown whether genetic testing for FH variants provides additional risk-stratifying information once longitudinal LDL-C is considered. METHODS We used the extensive electronic health record data available through the Million Veteran Program to conduct a nested case-control study. The primary outcome was coronary artery disease, derived from electronic health record codes for acute myocardial infarction and coronary revascularization. Incidence density sampling was used to match case/control exposure windows, defined by the date of the first LDL-C measurement to the date of the first coronary artery disease code of the index case. Adjustments for the first, maximum, or mean LDL-C were analyzed. FH variants in LDLR, APOB, and PCSK9 (Proprotein convertase subtilisin/kexin type 9) were assessed by custom genotype array. RESULTS In a cohort of 23 091 predominantly prevalent cases at enrollment and 230 910 matched controls, FH variant carriers had an increased risk for coronary artery disease (odds ratio [OR], 1.53 [95% CI, 1.24-1.89]). Adjusting for mean LDL-C led to the greatest attenuation of the risk estimate, but significant risk remained (odds ratio, 1.33 [95% CI, 1.08-1.64]). The degree of attenuation was not affected by the number and the spread of LDL-C measures available. CONCLUSIONS The risk associated with carrying an FH variant cannot be fully captured by the LDL-C data available in the electronic health record, even when considering multiple LDL-C measurements spanning more than a decade.
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Affiliation(s)
- Shoa L. Clarke
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
| | - Catherine Tcheandjieu
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
| | - Austin T. Hilliard
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
| | - Kyung Min Lee
- VA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT
| | - Julie Lynch
- VA Informatics & Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT
- College of Nursing & Health Sciences, Univ of Massachusetts, Boston, MA
| | - Kyong-Mi Chang
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
- Dept of Medicine, Univ of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Donald Miller
- Edith Nourse Rogers Memorial VA Hospital, Bedford, MA
- Center for Population Health, Univ of Massachusetts, Lowell, MA
| | - Joshua W. Knowles
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
- Diabetes Research Center, Stanford Univ School of Medicine, Stanford, CA
- Cardiovascular Institute, Stanford Univ School of Medicine, Stanford, CA
| | - Christopher O’Donnell
- VA Boston Healthcare System, Boston, MA
- Dept of Medicine, Harvard Medical School, Boston, MA
| | - Phil Tsao
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
- Cardiovascular Institute, Stanford Univ School of Medicine, Stanford, CA
| | - Daniel J. Rader
- Dept of Medicine, Univ of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Peter W. Wilson
- Atlanta VA Medical Center, Decatur, GA
- Dept of Medicine, Emory Univ School of Medicine, Atlanta, GA
- Dept of Epidemiology, Emory Univ Rollins School of Public Health, Atlanta, GA
| | - Yan V. Sun
- Atlanta VA Medical Center, Decatur, GA
- Dept of Epidemiology, Emory Univ Rollins School of Public Health, Atlanta, GA
| | | | - Themistocles L. Assimes
- VA Palo Alto Health Care system, Palo Alto, CA
- Dept of Medicine, Division of Cardiovascular Medicine, Stanford Univ School of Medicine, Stanford, CA
- Cardiovascular Institute, Stanford Univ School of Medicine, Stanford, CA
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7
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BAILIN SS, KUNDU S, WELLONS M, FREIBERG MS, DOYLE MF, TRACY RP, JUSTICE AC, WANJALLA CN, LANDAY AL, SO-ARMAH K, MALLAL S, KROPSKI JA, KOETHE JR. Circulating CD4+ TEMRA and CD4+ CD28- T cells and incident diabetes among persons with and without HIV. AIDS 2022; 36:501-511. [PMID: 34860194 PMCID: PMC8881388 DOI: 10.1097/qad.0000000000003137] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE A higher proportion of circulating memory CD4+ T cells is associated with prevalent diabetes mellitus in persons with HIV (PWH) and HIV-negative persons. We assessed whether circulating T-cell subsets could also identify individuals who will subsequently develop diabetes. DESIGN This is a longitudinal follow-up study of PWH and similar HIV-negative individuals from the Veterans Aging Cohort Study who provided peripheral mononuclear blood cells between 2005 and 2007. METHODS We quantified T-cell subsets using flow cytometry and functional assays to identify CD4+ and CD8+ naive, activated, senescent, memory (central, effector, and effector RA+), and TH1, TH2, and TH17-phenotype cells. The occurrence of an incident diabetes diagnosis (i.e. after baseline blood draw) was adjudicated by a two-physician chart review. Cox proportional hazards models adjusted for traditional risk factors, cytomegalovirus serostatus, and plasma inflammatory biomarkers assessed the relationship between T-cell subsets and incident diabetes. RESULTS One thousand, eight hundred and thirty-seven participants (1259 PWH) without diabetes at baseline were included; 69% were black, 95% were men, and median follow-up was 8.6 years. Higher baseline frequencies of CD4+ T effector memory RA+ (TEMRA) cells defined as CD45RA+ CD27- (P = 0.04) and senescent T cells defined as CD4+ CD28- (P = 0.04) were associated with incident diabetes in PWH only. CONCLUSIONS Higher frequencies of CD4+ TEMRA and CD4+ CD28- T cells were associated with incident diabetes in PWH only after adjustment for other factors. Additional studies are necessary to assess whether these cells act in blood via inflammatory mediators or reflect T-cell populations in metabolically active tissues.
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Affiliation(s)
- Samuel S. BAILIN
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Suman KUNDU
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Melissa WELLONS
- Divison of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Matthew S. FREIBERG
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA
| | - Margaret F. DOYLE
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | - Russell P. TRACY
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | - Amy C. JUSTICE
- Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, USA
- Department of Internal Medicine, Yale School of Medicine, West Haven, Connecticut, USA
| | - Celestine N. WANJALLA
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alan L. LANDAY
- Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | - Kaku SO-ARMAH
- Boston University School of Medicine, Boston, Massachusetts, USA
| | - Simon MALLAL
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Center for Translational Immunology and Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jonathan A. KROPSKI
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John R. KOETHE
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee, USA
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8
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Bourgi K, Kundu S, Stewart JC, So-Armah K, Freiberg M, Gupta SK. Associations of HIV and Depression with Incident Diabetes Mellitus: Veterans Aging Cohort Study. Clin Infect Dis 2022; 78:ciac085. [PMID: 35134838 PMCID: PMC10874269 DOI: 10.1093/cid/ciac085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Persons with HIV (PWH) are at increasingly higher risk for metabolic complications, including diabetes mellitus (DM). Additionally, depression is highly prevalent among PWH and has been associated with increased risk for DM in the general population. However, the association of HIV and depression with incident DM has not been well established. METHODS Using the Veterans Aging Cohort Study (VACS), we selected adults with and without HIV who did not have DM at baseline. Prevalent depression was defined as having a Patient Health Questionnaire-9 (PHQ-9) score of ≥10. Incident DM was identified using validated Kelly's criteria. Basic clinical and demographic characteristics were collected, and cox proportional hazards regression models were run to test the association between depression and incident DM stratified by HIV serostatus. RESULTS A total of 5,722 participants were analyzed, 2,886 (53%) had HIV and 1,124 (20%) had depression at baseline. 1,235 (22%) participants developed incident DM during follow-up, with 26% of HIV-negative participants developing DM compared to 17% of participants with HIV. Depression was significantly associated with increased risk of incident DM among HIV-negative participants (adjusted HR [aHR] = 1.31; p-value 0.003), but not among participants with HIV (aHR 1.09; p-value 0.44). However, among participants with HIV with baseline viral load < 500 copies/mL, we noted a stronger association between depression and incident DM. CONCLUSIONS Incident DM in the VACS cohort is significantly higher for HIV-negative participants compared to veterans with HIV. A significant association between depression and incident DM was noted among HIV-negative participants but not among those with HIV.
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Affiliation(s)
- Kassem Bourgi
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Suman Kundu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jesse C Stewart
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kaku So-Armah
- Boston University School of Medicine, Boston, Massachusetts, USA
| | | | - Samir K Gupta
- Indiana University School of Medicine, Indianapolis, Indiana, USA
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