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Zhou Y, Zhang X, Gao Y, Alvi RM, Erqou S, Chen Y, Wang H, Wang W, Li X, Zanni MV, Neilan TG, Vermund SH, Qian HZ, Qian F. Risk of death and readmission among individuals with heart failure and HIV: A systematic review and meta-analysis. J Infect Public Health 2024; 17:70-75. [PMID: 37992436 DOI: 10.1016/j.jiph.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/10/2023] [Accepted: 11/02/2023] [Indexed: 11/24/2023] Open
Abstract
The association between human immunodeficiency virus (HIV) status and readmissions and death outcomes in patients with established heart failure (HF) remains unclear. We conducted a systematic search of PubMed, EMBASE, Cochrane Library, and Web of Science up to March 1st, 2023, for cohort studies of adult patients (≥18 years) diagnosed with HF and recorded HIV status at baseline. Our analysis included 7 studies with 10,328 HF patients living with HIV and 48,757 HF patients without HIV. Compared to HF patients without HIV, those with HIV had a higher risk of all-cause deaths (HR: 1.20, 95% CI: 1.15-1.25). HIV infection was also associated with increased risks of HF-associated readmission (HR: 1.34, 95% CI: 1.03-1.75) and all-cause readmission (HR: 1.27, 95% CI: 1.10-1.46). Our study highlights the independent association between HIV and poor HF outcomes, emphasizing the need for improved management in individuals living with HIV.
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Affiliation(s)
- Yaqin Zhou
- Xiangya Nursing School, Central South University, Changsha, China.
| | | | - Yanxiao Gao
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Raza M Alvi
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sebhat Erqou
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
| | - Yuqing Chen
- Xiangya Nursing School, Central South University, Changsha, China.
| | - Honghong Wang
- Xiangya Nursing School, Central South University, Changsha, China.
| | - Wenru Wang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Xianhong Li
- Xiangya Nursing School, Central South University, Changsha, China; School of International Education, Hainan Medical College, Haikou, China.
| | - Markella V Zanni
- Metabolism Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Tomas G Neilan
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sten H Vermund
- School of Public Health, Yale University, New Haven, CT, USA.
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA.
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
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Imran TF, Khan AA, Has P, Jacobson A, Bogin S, Khalid M, Khan A, Kim S, Erqou S, Choudhary G, Aspry K, Wu WC. Proprotein convertase subtilisn/kexin type 9 inhibitors and small interfering RNA therapy for cardiovascular risk reduction: A systematic review and meta-analysis. PLoS One 2023; 18:e0295359. [PMID: 38055686 PMCID: PMC10699593 DOI: 10.1371/journal.pone.0295359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/17/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of mortality worldwide. Atherosclerosis occurs due to accumulation of low-density lipoprotein cholesterol (LDL-c) in the arterial system. Thus, lipid lowering therapy is essential for both primary and secondary prevention. Proprotein convertase subtilisn/kexin type 9 (PCSK9) inhibitors (Evolocumab, Alirocumab) and small interfering RNA (siRNA) therapy (Inclisiran) have been demonstrated to lower LDL-c and ASCVD events in conjunction with maximally tolerated statin therapy. However, the degree of LDL-c reduction and the impact on reducing major adverse cardiac events, including their impact on mortality, remains unclear. OBJECTIVE The purpose of this study is to examine the effects of PCSK9 inhibitors and small interfering RNA (siRNA) therapy on LDL-c reduction and major adverse cardiac events (MACE) and mortality by conducting a meta-analysis of randomized controlled trials. METHODS Using Pubmed, Embase, Cochrane Library and clinicaltrials.gov until April 2023, we extracted randomized controlled trials (RCTs) of PCSK9 inhibitors (Evolocumab, Alirocumab) and siRNA therapy (Inclisiran) for lipid lowering and risk of MACE. Using random-effects models, we pooled the relative risks and 95% CIs and weighted least-squares mean difference in LDL-c levels. We estimated odds ratios with 95% CIs among MACE subtypes and all-cause mortality. Fixed-effect model was used, and heterogeneity was assessed using the I2 statistic. RESULTS In all, 54 studies with 87,669 participants (142,262 person-years) met criteria for inclusion. LDL-c percent change was reported in 47 studies (n = 62,634) evaluating two PCSK9 inhibitors and siRNA therapy. Of those, 21 studies (n = 41,361) included treatment with Evolocumab (140mg), 22 (n = 11,751) included Alirocumab (75mg), and 4 studies (n = 9,522) included Inclisiran (284mg and 300mg). Compared with placebo, after a median of 24 weeks (IQR 12-52), Evolocumab reduced LDL-c by -61.09% (95% CI: -64.81, -57.38, p<0.01) and Alirocumab reduced LDL-c by -46.35% (95% CI: -51.75, -41.13, p<0.01). Inclisiran 284mg reduced LDL-c by -54.83% (95% CI: -59.04, -50.62, p = 0.05) and Inclisiran 300mg reduced LDL-c by -43.11% (95% CI: -52.42, -33.80, p = 0.01). After a median of 8 months (IQR 6-15), Evolocumab reduced the risk of myocardial infarction (MI), OR 0.72 (95% CI: 0.64, 0.81, p<0.01), coronary revascularization, 0.77 (95% CI: 0.70, 0.84, p<0.01), stroke, 0.79 (95% CI: 0.66, 0.94, p = 0.01) and overall MACE 0.85 (95% CI: 0.80, 0.89, p<0.01). Alirocumab reduced MI, 0.57 (0.38, 0.86, p = 0.01), cardiovascular mortality 0.35 (95% CI: 0.16, 0.77, p = 0.01), all-cause mortality 0.60 (95% CI: 0.43, 0.84, p<0.01), and overall MACE 0.35 (0.16, 0.77, p = 0.01). CONCLUSION PCSK9 inhibitors (Evolocumab, Alirocumab) and siRNA therapy (Inclisiran) significantly reduced LDL-c by >40% in high-risk individuals. Additionally, both Alirocumab and Evolocumab reduced the risk of MACE, and Alirocumab reduced cardiovascular and all-cause mortality.
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Affiliation(s)
- Tasnim F. Imran
- Providence VA Medical Center, Providence, Rhode Island, United States of America
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Ali A. Khan
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Phinnara Has
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Alexis Jacobson
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Stephanie Bogin
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Mahnoor Khalid
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
| | - Asim Khan
- Northwestern University, Evanston, Illinois, United States of America
| | - Samuel Kim
- Weil Cornell College of Medicine, New York, New York, United States of America
| | - Sebhat Erqou
- Providence VA Medical Center, Providence, Rhode Island, United States of America
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Gaurav Choudhary
- Providence VA Medical Center, Providence, Rhode Island, United States of America
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Karen Aspry
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
| | - Wen-Chih Wu
- Providence VA Medical Center, Providence, Rhode Island, United States of America
- Lifespan Cardiovascular Institute, Rhode Island and Miriam Hospitals, Providence, Rhode Island, United States of America
- Warren Alpert Medical School of Brown University, Providence, Rhode Island, United States of America
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Robison RD, Singh M, Jiang L, Riester M, Duprey M, McGeary JE, Goyal P, Wu WC, Erqou S, Zullo A, Rudolph JL, Rogus-Pulia N. Acute Antipsychotic Use and Presence of Dysphagia Among Older Veterans with Heart Failure. J Am Med Dir Assoc 2023; 24:1303-1310. [PMID: 37478895 PMCID: PMC10527768 DOI: 10.1016/j.jamda.2023.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 06/02/2023] [Accepted: 06/12/2023] [Indexed: 07/23/2023]
Abstract
OBJECTIVE Examine whether new antipsychotic (AP) exposure is associated with dysphagia in hospitalized patients with heart failure (HF). DESIGN Retrospective cohort. SETTINGS AND PARTICIPANTS AP-naïve Veterans hospitalized with HF and subsequently discharged to a skilled nursing facility (SNF) between October 1, 2010, and November 30, 2019. METHODS We linked Veterans Health Administration (VHA) electronic medical records with Centers for Medicare & Medicaid (CMS) Minimum Data Set (MDS) version 3.0 assessments and CMS claims. The exposure variable was administration of ≥1 dose of a typical or atypical AP during hospitalization. Our main outcome measure was dysphagia presence defined by (1) inpatient dysphagia diagnosis codes and (2) the SNF admission MDS 3.0 swallowing-related items to examine post-acute care dysphagia status. Inverse probability of treatment weighting was used for risk adjustment. RESULTS The analytic cohort consisted of 29,591 Veterans (mean age 78.5 ± 10.0 years; female 2.9%; n = 865). Acute APs were administered to 9.9% (n = 2941). Those receiving APs had differences in prior dementia [37.1%, n = 1091, vs 22.3%, n = 5942; standardized mean difference (SMD) = 0.33] and hospital delirium diagnoses (7.7%, n = 227 vs 2.8%, n = 754; SMD = 0.22). Acute AP exposure was associated with nearly double the risk for hospital dysphagia diagnosis codes [adjusted (adj.) relative risk (RR) 1.9, 95% CI 1.8, 2.1]. At the SNF admission MDS assessment, acute AP administration during hospitalization was associated with an increased dysphagia risk (adj. RR 1.2, 95% CI 1.0, 1.5) both in the oral (adj. RR 1.7, 95% CI 1.2, 2.0) and pharyngeal phases (adj. RR 1.3, 95% CI 1.0, 1.7). CONCLUSIONS AND IMPLICATIONS In this retrospective study, AP medication exposure was associated with increased dysphagia coding and MDS assessment. Considering other adverse effects, acute AP should be cautiously administered during hospitalization, particularly in those with dementia. Swallowing function is critical to hydration, nutrition, and medical management of HF; therefore, when acute APs are initiated, a swallow evaluation should be considered.
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Affiliation(s)
- Raele Donetha Robison
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health (SMPH), Madison, WI, USA
| | - Mriganka Singh
- Center of Innovation in Long Term Services and Supports (LTSS-COIN), Providence VA Medical Center, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports (LTSS-COIN), Providence VA Medical Center, Providence, RI, USA
| | - Melissa Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Matthew Duprey
- Center of Innovation in Long Term Services and Supports (LTSS-COIN), Providence VA Medical Center, Providence, RI, USA
| | - John E McGeary
- Center of Innovation in Long Term Services and Supports (LTSS-COIN), Providence VA Medical Center, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Parag Goyal
- Division of Cardiology and Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Wen-Chih Wu
- Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Sebhat Erqou
- Warren Alpert Medical School of Brown University, Providence, RI, USA; Division of Cardiology, Providence VA Medical Center, Providence, RI, USA; Lifespan Cardiovascular Institute, Providence, RI, USA
| | - Andrew Zullo
- Center of Innovation in Long Term Services and Supports (LTSS-COIN), Providence VA Medical Center, Providence, RI, USA; Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - James L Rudolph
- Center of Innovation in Long Term Services and Supports (LTSS-COIN), Providence VA Medical Center, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA; Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
| | - Nicole Rogus-Pulia
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health (SMPH), Madison, WI, USA; Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA.
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Haji M, Erqou S, Fonarow GC, Echouffo-Tcheugui JB. Type 1 diabetes and risk of heart failure: A systematic review and meta-analysis. Diabetes Res Clin Pract 2023; 202:110805. [PMID: 37356724 PMCID: PMC10530158 DOI: 10.1016/j.diabres.2023.110805] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 06/14/2023] [Accepted: 06/22/2023] [Indexed: 06/27/2023]
Abstract
AIM Robust data on type 1 diabetes (T1DM) and the risk of heart failure (HF) is scarce. METHODS We searched PubMed and EMBASE for relevant studies, abstracted data on HF incidence rate and adjusted relative risk (aRR) for T1DM, type 2 diabetes (T2DM) and controls, and pooled incidence rates and aRRs for HF across studies. RESULTS Four studies including 61,885 T1DM patients, 4,599,213 non-diabetic controls, and 248,021 T2DM patients (three studies) were included. The pooled average proportions of men were 56%, 54%, and 55%, for T1DM, T2DM, and controls, respectively. The corresponding pooled average participants' ages were 40, 65 and 57 years, respectively. Over a 1 to 12 years follow-up, 1378, 3993, 18,945 HF events occurred among individuals with T1DM, T2DM, and controls, yielding pooled HF incidence rates of 5.8 (95%CI: 4.1-7.6), 10.0 (95% CI: 6.1-13.9), 2.3 (95% CI: 1.5-3.2) per 1000 person-years, respectively. Compared to controls, T1DM patients had a 3-fold higher HF risk (aRR 3.4, 95% CI 2.71-4.26). The RR of HF was ∼ 5-fold higher in women (aRR: 4.9, 95% CI: 4.1-5.9) vs. 3-fold higher in men (aRR: 3.0, 95% CI: 2.2-4.0). CONCLUSIONS Individuals with T1DM had a substantially higher risk of HF compared to those without diabetes.
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Affiliation(s)
- Mohammed Haji
- Department of Medicine, Brown University, Providence, RI, USA
| | - Sebhat Erqou
- Department of Medicine, Brown University, Providence, RI, USA; Department of Medicine, Providence VA Medical Center, Providence, RI, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, John Hopkins University School of Medicine, Baltimore, MD, USA.
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Khetpal V, Berkowitz J, Jiang L, Menon A, Shah N, Heffernan DS, Choudhary G, Rudolph JL, Wu WC, Erqou S. Long-Term Outcomes of Veterans With a Diagnosis of Heart Failure After COVID-19. JACC Adv 2023:100381. [PMID: 37359237 PMCID: PMC10246602 DOI: 10.1016/j.jacadv.2023.100381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
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Soares C, Kwok M, Boucher KA, Haji M, Echouffo-Tcheugui JB, Longenecker CT, Bloomfield GS, Ross D, Jutkowtiz E, Sullivan JL, Rudolph JL, Wu WC, Erqou S. Performance of Cardiovascular Risk Prediction Models Among People Living With HIV: A Systematic Review and Meta-analysis. JAMA Cardiol 2023; 8:139-149. [PMID: 36576812 PMCID: PMC9857084 DOI: 10.1001/jamacardio.2022.4873] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 10/20/2022] [Indexed: 12/29/2022]
Abstract
Importance Extant data on the performance of cardiovascular disease (CVD) risk score models in people living with HIV have not been synthesized. Objective To synthesize available data on the performance of the various CVD risk scores in people living with HIV. Data Sources PubMed and Embase were searched from inception through January 31, 2021. Study Selection Selected studies (1) were chosen based on cohort design, (2) included adults with a diagnosis of HIV, (3) assessed CVD outcomes, and (4) had available data on a minimum of 1 CVD risk score. Data Extraction and Synthesis Relevant data related to study characteristics, CVD outcome, and risk prediction models were extracted in duplicate. Measures of calibration and discrimination are presented in tables and qualitatively summarized. Additionally, where possible, estimates of discrimination and calibration measures were combined and stratified by type of risk model. Main Outcomes and Measures Measures of calibration and discrimination. Results Nine unique observational studies involving 75 304 people (weighted average age, 42 years; 59 490 male individuals [79%]) living with HIV were included. In the studies reporting these data, 86% were receiving antiretroviral therapy and had a weighted average CD4+ count of 449 cells/μL. Included in the study were current smokers (50%), patients with diabetes (5%), and patients with hypertension (25%). Ten risk prediction scores (6 in the general population and 4 in the HIV-specific population) were analyzed. Most risk scores had a moderate performance in discrimination (C statistic: 0.7-0.8), without a significant difference in performance between the risk scores of the general and HIV-specific populations. One of the HIV-specific risk models (Data Collection on Adverse Effects of Anti-HIV Drugs Cohort 2016) and 2 of the general population risk models (Framingham Risk Score [FRS] and Pooled Cohort Equation [PCE] 10 year) had the highest performance in discrimination. In general, models tended to underpredict CVD risk, except for FRS and PCE 10-year scores, which were better calibrated. There was substantial heterogeneity across the studies, with only a few studies contributing data for each risk score. Conclusions and Relevance Results of this systematic review and meta-analysis suggest that general population and HIV-specific CVD risk models had comparable, moderate discrimination ability in people living with HIV, with a general tendency to underpredict risk. These results reinforce the current recommendations provided by the American College of Cardiology/American Heart Association guidelines to consider HIV as a risk-enhancing factor when estimating CVD risk.
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Affiliation(s)
- Cullen Soares
- Department of Medicine, University of Maryland School of Medicine, Baltimore
| | - Michael Kwok
- Department of Medicine, Brown University, Providence, Rhode Island
| | - Kent-Andrew Boucher
- 27th Special Operations Medical Group, US Air Force, US Department of Defense, Cannon Air Force Base, Clovis, New Mexico
| | - Mohammed Haji
- Department of Medicine, Brown University, Providence, Rhode Island
| | - Justin B. Echouffo-Tcheugui
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | | | - Gerald S. Bloomfield
- Department of Medicine, Duke Clinical Research Institute, Duke Global Health Institute, Duke University, Durham, North Carolina
| | - David Ross
- Office of Specialty Care Service, US Department of Veterans Affairs, Washington, DC
- Infectious Disease Section, Washington DC Department of Veterans Affairs Medical Center, Washington, DC
| | - Eric Jutkowtiz
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, Rhode Island
- Evidence Synthesis Program Center, Providence VA Health Care System, Providence, Rhode Island
- Brown University School of Public Health, Brown University, Providence, Rhode Island
| | - Jennifer L. Sullivan
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, Rhode Island
- Brown University School of Public Health, Brown University, Providence, Rhode Island
| | - James L. Rudolph
- Department of Medicine, Brown University, Providence, Rhode Island
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, Rhode Island
- Evidence Synthesis Program Center, Providence VA Health Care System, Providence, Rhode Island
- Brown University School of Public Health, Brown University, Providence, Rhode Island
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island
| | - Wen-Chih Wu
- Department of Medicine, Brown University, Providence, Rhode Island
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, Rhode Island
- Brown University School of Public Health, Brown University, Providence, Rhode Island
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island
| | - Sebhat Erqou
- Department of Medicine, Brown University, Providence, Rhode Island
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, Rhode Island
- Evidence Synthesis Program Center, Providence VA Health Care System, Providence, Rhode Island
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island
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Bayer TA, Jiang L, Erqou S, Kunicki ZJ, Singh M, Duprey M, Bozzay M, McGeary JE, Zullo AR, Wu WC, Gravenstein S, Rudolph JL. Incidence of New Dementia Diagnosis in Veterans Admitted to Nursing Homes After Heart Failure Hospitalization. J Alzheimers Dis 2023; 94:1397-1404. [PMID: 37424463 PMCID: PMC11016306 DOI: 10.3233/jad-221300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
BACKGROUND Hospitalization with heart failure (HF) may signal an increased risk of Alzheimer's disease and related dementias (ADRD). Nursing homes routinely assess cognition but the association of these results with new ADRD diagnosis in a population at high risk of ADRD is not known. OBJECTIVE To determine the association between nursing home cognitive assessment results and new diagnosis of dementia after heart failure hospitalization. METHODS This retrospective cohort study included Veterans hospitalized for HF and discharged to nursing homes, from 2010 to 2015, without a prior diagnosis of ADRD. We determined mild, moderate, or severe cognitive impairment using multiple items of the nursing home admission assessment. We used Cox regression to determine the association of cognitive impairment with new ADRD diagnosis during 365 days of follow-up. RESULTS The cohort included 7,472 residents, new diagnosis of ADRD occurred in 4,182 (56%). The adjusted hazard ratio of ADRD diagnosis was 4.5 (95% CI 4.2, 4.8) for the mild impairment group, 5.4 (95% CI 4.8, 5.9) for moderate impairment, and 4.0 (95% CI 3.2, 5.0) for severe impairment compared to the cognitively intact group. CONCLUSION New ADRD diagnoses occurred in more than half of Veterans with HF admitted to nursing homes for post-acute care.
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Affiliation(s)
- Thomas A. Bayer
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
- Warren Alpert Medical School of Brown University, Division of Geriatrics and Palliative Medicine, Providence, RI, USA
| | - Lan Jiang
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
| | - Sebhat Erqou
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
| | - Zachary J. Kunicki
- Warren Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA
| | - Mriganka Singh
- Warren Alpert Medical School of Brown University, Division of Geriatrics and Palliative Medicine, Providence, RI, USA
| | - Matthew Duprey
- Brown University School of Public Health, Department of Health Services Policy and Practice, Providence, RI, USA
| | - Melanie Bozzay
- Warren Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA
- Providence VA Medical Center, Center for Neurorestoration and Neurotechnology, Providence, RI, USA
| | - John E. McGeary
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
- Warren Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA
| | - Andrew R. Zullo
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
- Brown University School of Public Health, Department of Health Services Policy and Practice, Providence, RI, USA
- Brown University School of Public Health, Department of Epidemiology, Providence, RI, USA
| | - Wen-Chih Wu
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
- Brown University School of Public Health, Department of Epidemiology, Providence, RI, USA
- Providence VA Medical Center, Department of Medicine, Providence, RI, USA
| | - Stefan Gravenstein
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
- Warren Alpert Medical School of Brown University, Division of Geriatrics and Palliative Medicine, Providence, RI, USA
- Brown University School of Public Health, Department of Health Services Policy and Practice, Providence, RI, USA
| | - James L. Rudolph
- Providence VA Medical Center, Long-Term Services and Supports Center of Innovation, Providence, RI, USA
- Warren Alpert Medical School of Brown University, Division of Geriatrics and Palliative Medicine, Providence, RI, USA
- Brown University School of Public Health, Department of Health Services Policy and Practice, Providence, RI, USA
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Kunicki ZJ, Bayer T, Jiang L, Bozzay ML, Quinn MJ, De Vito AN, Emrani S, Erqou S, McGeary JE, Zullo AR, Duprey MS, Singh M, Primack JM, Kelso CM, Wu WC, Rudolph JL. Comparing Lookback Periods to Ascertain Alzheimer's Disease and Related Dementias. Am J Alzheimers Dis Other Demen 2023; 38:15333175231199566. [PMID: 37650437 PMCID: PMC10623942 DOI: 10.1177/15333175231199566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Claims data are a valuable resource for studying Alzheimer's disease and related dementias (ADRD). Alzheimer's disease and related dementias is often identified using a list of claims codes and a fixed lookback period of 3 years of data. However, a 1-year lookback or an approach using all-available lookback data could be beneficial based on different research questions. Thus, the purpose of this study was to compare 1-year and all-available lookback approaches to ascertaining ADRD compared to the standard 3-year approach. Using a cohort of Veterans hospitalized for heart failure (N = 373, 897), our results suggested high agreement (93% or greater) between the lookback periods. The 1-year lookback period had lower sensitivity (60%) and underestimated the prevalence of ADRD. These results suggest that 1-year and all-available lookback periods are viable approaches when using claims data.
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Affiliation(s)
- Zachary J. Kunicki
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
| | - Thomas Bayer
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Lan Jiang
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
| | | | - McKenzie J. Quinn
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, USA
| | - Alyssa N. De Vito
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Sheina Emrani
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Sebhat Erqou
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, USA
| | - John E. McGeary
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
| | - Andrew R. Zullo
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
| | | | - Mriganka Singh
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
| | - Jennifer M. Primack
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
| | - Catherine M. Kelso
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, USA
- Office of Patient Care Services, Geriatrics and Extended Care, Veterans Health Administration, Washington, DC, USA
| | - Wen-Chih Wu
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - James L. Rudolph
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
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9
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Chen EW, Ahmad K, Erqou S, Wu WC. Particulate matter 2.5, metropolitan status, and heart failure outcomes in US counties: A nationwide ecologic analysis. PLoS One 2022; 17:e0279777. [PMID: 36584210 PMCID: PMC9803275 DOI: 10.1371/journal.pone.0279777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/14/2022] [Indexed: 01/01/2023] Open
Abstract
The relationship between particulate matter with a diameter of 2.5 micrometers or less (PM2.5) and heart failure (HF) hospitalizations and mortality in the US is unclear. Prior studies are limited to studying the effects of daily PM2.5 exposure on HF hospitalizations in specific geographic regions. Because PM2.5 can vary by geography, this study examines the effects of annual ambient PM2.5 exposure on HF hospitalizations and mortality at a county-level across the US. A cross-sectional analysis of county-level ambient PM2.5 concentration, HF hospitalizations, and HF mortality across 3135 US counties nationwide was performed, adjusting for county-level demographics, socioeconomic factors, comorbidities, and healthcare-associated behaviors. There was a moderate correlation between county PM2.5 and HF hospitalization among Medicare beneficiaries (r = 0.41) and a weak correlation between county PM2.5 and HF mortality (r = 0.08) (p-values < 0.01). After adjustment for various county level covariates, every 1 ug/m3 increase in annual PM2.5 concentration was associated with an increase of 0.51 HF Hospitalizations/1,000 Medicare Beneficiaries and 0.74 HF deaths/100,000 residents (p-values < 0.05). In addition, the relationship between PM2.5 and HF hospitalizations was similar when factoring in metropolitan status of the counties. In conclusion, increased ambient PM2.5 concentration level was associated with increased incidence of HF hospitalizations and mortality at the county level across the US. This calls for future studies exploring policies that reduce ambient particulate matter pollution and their downstream effects on potentially improving HF outcomes.
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Affiliation(s)
- Edward W. Chen
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island
| | - Khansa Ahmad
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island
| | - Sebhat Erqou
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island
| | - Wen-Chih Wu
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island
- * E-mail:
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10
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Gula AL, Ramos J, Simpson JM, Jiang L, Martin E, Wice M, Erqou S, Wu WC, Rudolph JL. Utilization of Palliative Care in Veterans Admitted With Heart Failure Experiencing Homelessness. J Pain Symptom Manage 2022; 64:471-477. [PMID: 35901868 DOI: 10.1016/j.jpainsymman.2022.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/18/2022] [Accepted: 07/21/2022] [Indexed: 12/24/2022]
Abstract
CONTEXT Patients experiencing housing insecurity have numerous barriers affecting their utilization of medical care. OBJECTIVES Determine if housing insecurity is associated with palliative care (PC) encounters and hospice services in patients with heart failure who receive care in United States Veterans Affairs (VA) medical centers. METHODS This retrospective study included inpatients in VA hospitals with a primary diagnosis of congestive heart failure from 2010 to 2020. Housing stability was collected from coding and separated into three cohorts: at risk for homelessness, experiencing homelessness, and stably housed. The primary outcome was a PC encounter during admission and the stably housed cohort was used as the analytic reference. Inverse-probability-weighting (IPTW) was calculated to adjust the likelihood of receiving PC during the index admission. RESULTS Seventy thousand eight hundred fourty nine veterans were identified. Veterans were identified as at risk for homelessness (n=4039, 5.7%), experiencing homelessness (n=1967, 2.8%) and stably housed (n=64,843, 91.5%). PC was delivered to veterans at risk for homelessness (n=484, 12.0%), veterans experiencing homelessness, (n=161, 8.2%) and patients with stable housing (n=6249, 9.6%). Relative to the stably housed and adjusted for IPTW, those at risk for homelessness received PC services similarly (adjusted OR=1.06, 95% CI 0.94,1.19) and those experiencing homelessness were at lower odds of receiving PC services (adjusted OR=0.62, 95% CI 0.52,0.75). CONCLUSION Housing stability may be a factor in Veterans receiving PC during hospitalization for heart failure. While the logistical challenges of delivering PC and hospice to people experiencing homelessness are daunting, advocating for these services shows commitment to reducing suffering in life-limiting Illness.
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Affiliation(s)
- Annie Laurie Gula
- Rhode Island Hospital and Lifespan Health System of Providence (A.L.G., J.R., J.M.S., S.E., W.C.W.), RI, USA
| | - Jacob Ramos
- Rhode Island Hospital and Lifespan Health System of Providence (A.L.G., J.R., J.M.S., S.E., W.C.W.), RI, USA
| | - Jane M Simpson
- Rhode Island Hospital and Lifespan Health System of Providence (A.L.G., J.R., J.M.S., S.E., W.C.W.), RI, USA
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports (L.J., M.W., S.E., W.C.W., J.L.R.), Providence VA Medical Center, Providence, RI, USA
| | - Edward Martin
- Department of Medicine, The Warren Alpert Medical School of Brown University (E.M., M.W., S.E., W.C.W., J.L.R.), Providence, RI, USA
| | - Mitchell Wice
- Department of Medicine, The Warren Alpert Medical School of Brown University (E.M., M.W., S.E., W.C.W., J.L.R.), Providence, RI, USA; Center of Innovation in Long Term Services and Supports (L.J., M.W., S.E., W.C.W., J.L.R.), Providence VA Medical Center, Providence, RI, USA
| | - Sebhat Erqou
- Rhode Island Hospital and Lifespan Health System of Providence (A.L.G., J.R., J.M.S., S.E., W.C.W.), RI, USA; Department of Medicine, The Warren Alpert Medical School of Brown University (E.M., M.W., S.E., W.C.W., J.L.R.), Providence, RI, USA; Center of Innovation in Long Term Services and Supports (L.J., M.W., S.E., W.C.W., J.L.R.), Providence VA Medical Center, Providence, RI, USA
| | - Wen-Chih Wu
- Rhode Island Hospital and Lifespan Health System of Providence (A.L.G., J.R., J.M.S., S.E., W.C.W.), RI, USA; Department of Medicine, The Warren Alpert Medical School of Brown University (E.M., M.W., S.E., W.C.W., J.L.R.), Providence, RI, USA; Center of Innovation in Long Term Services and Supports (L.J., M.W., S.E., W.C.W., J.L.R.), Providence VA Medical Center, Providence, RI, USA
| | - James L Rudolph
- Department of Medicine, The Warren Alpert Medical School of Brown University (E.M., M.W., S.E., W.C.W., J.L.R.), Providence, RI, USA; Center of Innovation in Long Term Services and Supports (L.J., M.W., S.E., W.C.W., J.L.R.), Providence VA Medical Center, Providence, RI, USA.
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11
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Riester MR, Goyal P, Jiang L, Erqou S, Rudolph JL, McGeary JE, Rogus-Pulia NM, Madrigal C, Quach L, Wu WC, Zullo AR. New Antipsychotic Prescribing Continued into Skilled Nursing Facilities Following a Heart Failure Hospitalization: a Retrospective Cohort Study. J Gen Intern Med 2022; 37:3368-3379. [PMID: 34981366 PMCID: PMC9550891 DOI: 10.1007/s11606-021-07233-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 10/19/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Multimorbidity and polypharmacy are common among individuals hospitalized for heart failure (HF). Initiating high-risk medications such as antipsychotics may increase the risk of poor clinical outcomes, especially if these medications are continued unnecessarily into skilled nursing facilities (SNFs) after hospital discharge. OBJECTIVE Examine how often older adults hospitalized with HF were initiated on antipsychotics and characteristics associated with antipsychotic continuation into SNFs after hospital discharge. DESIGN Retrospective cohort. PARTICIPANTS Veterans without prior outpatient antipsychotic use, who were hospitalized with HF between October 1, 2010, and September 30, 2015, and were subsequently discharged to a SNF. MAIN MEASURES Demographics, clinical conditions, prior healthcare utilization, and antipsychotic use data were ascertained from Veterans Administration records, Minimum Data Set assessments, and Medicare claims. The outcome of interest was continuation of antipsychotics into SNFs after hospital discharge. KEY RESULTS Among 18,008 Veterans, antipsychotics were newly prescribed for 1931 (10.7%) Veterans during the index hospitalization. Among new antipsychotic users, 415 (21.5%) continued antipsychotics in skilled nursing facilities after discharge. Dementia (adjusted OR (aOR) 1.48, 95% CI 1.11-1.98), psychosis (aOR 1.62, 95% CI 1.11-2.38), proportion of inpatient days with antipsychotic use (aOR 1.08, 95% CI 1.07-1.09, per 10% increase), inpatient use of only typical (aOR 0.47, 95% CI 0.30-0.72) or parenteral antipsychotics (aOR 0.39, 95% CI 0.20-0.78), and the day of hospital admission that antipsychotics were started (day 0-4 aOR 0.36, 95% CI 0.23-0.56; day 5-7 aOR 0.54, 95% CI 0.35-0.84 (reference: day > 7 of hospital admission)) were significant predictors of continuing antipsychotics into SNFs after hospital discharge. CONCLUSIONS Antipsychotics are initiated fairly often during HF admissions and are commonly continued into SNFs after discharge. Hospital providers should review antipsychotic indications and doses throughout admission and communicate a clear plan to SNFs if antipsychotics are continued after discharge.
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Affiliation(s)
- Melissa R Riester
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA.
| | - Parag Goyal
- Division of Cardiology and Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lan Jiang
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Sebhat Erqou
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - James L Rudolph
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - John E McGeary
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA
- Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI, USA
| | - Nicole M Rogus-Pulia
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Caroline Madrigal
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Lien Quach
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
| | - Wen-Chih Wu
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, RI, USA
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
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12
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Haji M, Lopes VV, Ge A, Halladay C, Soares C, Shah NR, Longenecker CT, Lally M, Bloomfield GS, Shireman TI, Ross D, Sullivan JL, Rudolph JL, Wu WC, Erqou S. Two decade trends in cardiovascular disease outcomes and cardiovascular risk factors among US veterans living with HIV. Int J Cardiol Cardiovasc Risk Prev 2022; 15:200151. [PMID: 36573195 PMCID: PMC9789359 DOI: 10.1016/j.ijcrp.2022.200151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/29/2022] [Accepted: 09/19/2022] [Indexed: 12/30/2022]
Abstract
Coomprhensive data on temporal trends in cardiovascular disease (CVD) risk factors and outcomes in people living with HIV are limited. Using retrospective data on 50,284 US Veterans living with HIV (VLWH) who received care in the VA from 2001 to 2019, we calculated the prevalence and incidence estimates of CVD risk factors and outcomes, as well as the average annual percent changes (AAPC) in the estimates. The mean age of the Veterans increased from 47.8 (9.1) years to 58.0 (12.4) years during the study period. The population remained predominantly (>95%) male and majority Black (∼50%). The prevalence of the CVD outcomes increased progressively over the study period: coronary artery disease (3.9%-18.7%), peripheral artery disease (2.3%, 10.3%), ischemic cerebrovascular disease (1.1%-9.9%), and heart failure (2.4%-10.5%). There was a progressive increase in risk factor burden, except for smoking which declined after 2015. The AAPC in prevalence was statistically significant for the CVD outcomes and risk factors. When adjusted for age, the predicted prevalence of CVD risk factors and outcomes showed comparable (but attenuated) trends. There was generally a comparable (but attenuated) trend in incidence of CVD outcomes, procedures, and risk factors over the study period. The use of statins increased from 10.6% (2001) to 40.8% (2019). Antiretroviral therapy usage increased from 77.7% (2001) to 85.0% (2019). In conclusion, in a retrospective analysis of large-scale VA data we found the burden and incidence of several CVD risk factors and outcomes have increased among VLWH over the past 20 years.
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Affiliation(s)
- Mohammed Haji
- Department of Medicine, Brown University, Providence, RI, USA
| | - Vrishali V. Lopes
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
| | - Augustus Ge
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
| | - Christopher Halladay
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
| | - Cullen Soares
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nishant R. Shah
- Department of Medicine, Brown University, Providence, RI, USA
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA
- Brown University School of Public Health, Brown University, Providence, RI, USA
| | | | - Michelle Lally
- Department of Medicine, Brown University, Providence, RI, USA
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA
| | - Gerald S. Bloomfield
- Duke Clinical Research Institute, Duke Global Health Institute and Department of Medicine, Duke University, Durham, NC, USA
| | - Theresa I. Shireman
- Brown University School of Public Health, Brown University, Providence, RI, USA
| | - David Ross
- Office of Specialty Care Service, US Department of Veterans Affairs, USA
- Infectious Disease Section, Washington, DC Department of Veterans Affairs Medical Center, USA
| | - Jennifer L. Sullivan
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA
- Brown University School of Public Health, Brown University, Providence, RI, USA
| | - James L. Rudolph
- Department of Medicine, Brown University, Providence, RI, USA
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA
- Brown University School of Public Health, Brown University, Providence, RI, USA
| | - Wen-Chih Wu
- Department of Medicine, Brown University, Providence, RI, USA
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA
- Brown University School of Public Health, Brown University, Providence, RI, USA
| | - Sebhat Erqou
- Department of Medicine, Brown University, Providence, RI, USA
- Center of Innovation in Long Term Services & Supports, Providence VA Medical Center, Providence, RI, USA
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA
- Corresponding author. Division of Cardiology, Providence VA Medical Center, Providence, RI, USA.
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13
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Khetpal V, Berkowitz J, Vijayakumar S, Choudhary G, Mukand JA, Rudolph JL, Wu WC, Erqou S. Long-term Cardiovascular Manifestations and Complications of COVID-19: Spectrum and Approach to Diagnosis and Management. R I Med J (2013) 2022; 105:16-22. [PMID: 35930485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Survivors of coronavirus disease 2019 (COVID-19) may experience persistent symptoms, abnormal diagnostic test findings, incident disease in specific organ systems, or progression of existing disease. Post-acute COVID-19 syndrome (PACS) is defined by persistent, recurrent, or new symptoms, findings, or diagnoses beyond four weeks after the initial infection. PACS has been characterized as a multi-organ syndrome, often with cardiopulmonary symptoms that include fatigue, dyspnea, chest pain, and palpitations. Cardiovascular pathologies in PACS include new-onset arrhythmia, myocarditis, unmasked coronary artery disease, and diastolic dysfunction as well as abnormal findings on electrocardiogram, troponin testing, and cardiac magnetic resonance imaging. In this review, we discuss the cardiovascular symptoms, pathophysiology, clinical investigation, and management strategies for cardiopulmonary symptoms of PACS. We offer a treatment algorithm for primary care clinicians encountering patients with cardiopulmonary PACS and discuss ongoing research on this topic.
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Affiliation(s)
- Vishal Khetpal
- Department of Medicine, Brown University, Providence, RI
| | | | | | - Gaurav Choudhary
- Department of Medicine, Brown University, Providence, RI; Department of Medicine, Providence VA Medical Center, Providence, RI
| | - Jon A Mukand
- Rehab Medicine Life Care Plans; Clinical Assistant Professor of Orthopaedics, Alpert Medical School of Brown University, Providence, RI
| | - James L Rudolph
- Department of Medicine, Brown University, Providence, RI; Department of Medicine, Providence VA Medical Center, Providence, RI; Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI; School of Public Health, Brown University, Providence, RI
| | - Wen-Chih Wu
- Department of Medicine, Brown University, Providence, RI; Department of Medicine, Providence VA Medical Center, Providence, RI; Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI; School of Public Health, Brown University, Providence, RI
| | - Sebhat Erqou
- Department of Medicine, Brown University, Providence, RI; Department of Medicine, Providence VA Medical Center, Providence, RI; Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI
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14
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Berkowitz J, Khetpal V, Echouffo-Tcheugui JB, Bambs CE, Aiyer A, Kip KE, Reis SE, Erqou S. Associations between cumulative social risk, psychosocial risk, and ideal cardiovascular health: Insights from the HeartSCORE study. Am J Prev Cardiol 2022; 11:100367. [PMID: 35923764 PMCID: PMC9340530 DOI: 10.1016/j.ajpc.2022.100367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 05/16/2022] [Accepted: 07/16/2022] [Indexed: 11/21/2022] Open
Abstract
Higher social risk is associated with achievement of fewer ideal cardiovascular health factors. The association was modestly attenuated after adjusting for depression, stress, and perceived discrimination. Psychosocial factors may mediate part of the association between social risk and achievement of ideal cardiovascular health.
Background Limited studies have assessed the effects of psychosocial risk factors on achievement of ideal cardiovascular health (CVH). Methods Using the Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) cohort, we examined the cross-sectional associations of cumulative social risk (CSR) and three psychosocial factors (depression, stress, perceived discrimination) with ideal CVH. CSR was calculated by assigning one point for each of: low family income, low education level, minority race (Black), and single-living status. Ideal CVH was calculated by assigning one point for ideal levels of each factor in American Heart Association's Life's Simple 7. Ideal CVH was dichotomized into fewer versus higher by combining participants achieving <3 versus ≥3 factors. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of having fewer ideal CVH factors. Psychosocial factors were assessed as mediators of the association between CSR and ideal CVH. Results We included 2000 participants (mean age 59.1 [7.5] years, 34.6% male, 42.7% Black, and 29.1% with low income), among whom 60.6% had <3 ideal CVH factors. The odds of having fewer ideal CVH factors increased significantly with increasing CSR scores from 1 to 2, to ≥3 compared to individuals with CSR score of zero, after adjusting for age and sex (OR [95% CIs]: 1.77 [1.41 - 2.22]; 2.09 [1.62 - 2.69] 2.67 [1.97 - 3.62], respectively). Taking the components of ideal CVH separately, higher CSR was directly associated with odds of being in ‘non-ideal’ category for six of the seven factors, but was inversely associated with probability of being in ‘non-ideal’ category for cholesterol. The association was modestly attenuated after adjusting for depression, stress, and perceived discrimination (corresponding OR [95% CI]: 1.69 [1.34 - 2.12], 1.96 [1.51 - 2.55], 2.34 [1.71 - 3.20]). The psychosocial factors appeared to mediate between 10% and 20% of relationship between CSR and ideal CVH. Conclusions Increased CSR was associated with lower probability of achieving ideal CVH factors. A modest amount of the effect of CSR on ideal CVH appeared to be mediated by depression, stress and perceived discrimination. Public health strategies aimed at improving ideal cardiovascular health may benefit from including interventions targeting social and psychosocial risk factors.
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Affiliation(s)
- Julia Berkowitz
- Department of Medicine, the Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Vishal Khetpal
- Department of Medicine, the Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Claudia E Bambs
- Department of Public Health, and Advanced Center for Chronic Diseases-ACCDiS, School of Medicine, Pontificia Universidad Católica de Chile, United States
| | - Aryan Aiyer
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Kevin E. Kip
- UPMC Health Services Division, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Steven E. Reis
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Sebhat Erqou
- Department of Medicine, the Warren Alpert Medical School of Brown University, Providence, RI, United States
- Division of Cardiology, Department of Medicine, Providence VA Medical Center, Providence, RI, United States
- Corresponding author at: Providence VA Medical Center, 830 Chalkstone Avenue, Providence, RI 02908, United States.
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Kaze AD, Yuyun MF, Erqou S, Fonarow GC, Echouffo-Tcheugui JB. Severe Hypoglycemia and Incidence of QT Interval Prolongation Among Adults With Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:e2743-e2750. [PMID: 35396596 PMCID: PMC9202715 DOI: 10.1210/clinem/dgac195] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT There is a paucity of large-scale epidemiological studies on the link between severe hypoglycemia (SH) and corrected QT (QTc) interval prolongation in type 2 diabetes (T2DM). OBJECTIVE To evaluate the association of SH with QTc prolongation in adults with T2DM. METHODS Prospective cohort analysis of participants enrolled in the ACCORD (Action to Control Cardiovascular Risk in Diabetes) study without QTc prolongation at baseline. SH was assessed over a 24-month period. Incident QTc prolongation was ascertained using follow-up electrocardiograms. Modified Poisson regression was used to generate the risk ratio (RR) and 95% CI for QTc prolongation. RESULTS Among 8277 participants (mean age 62.6 years [SD 6.5], 38.7% women, 62.8% White), 324 had ≥1 SH episode (3.9%). Over a median of 5 years, 517 individuals developed QTc prolongation (6.3%). Participants with SH had a 66% higher risk of QTc prolongation (RR 1.66, 95% CI 1.16-2.38). The incidence of QTc prolongation was 10.3% (27/261) and 14.3% (9/63) for participants with 1 and ≥2 SH, respectively. Compared with no SH, RRs for patients with 1 and ≥2 SH episodes were 1.57 (95% CI 1.04-2.39) and 2.01 (95% CI 1.07-3.78), respectively. Age modified the association of SH with QTc prolongation (PInteraction = .008). The association remained significant among younger participants (<61.9 years [median age]: RR 2.63, 95% CI 1.49-4.64), but was nonsignificant among older participants (≥61.9 years: RR 1.37, 95% CI 0.87-2.17). CONCLUSION In a large population with T2DM, SH was associated with an increased risk of QTc prolongation independently of other risk factors such as cardiac autonomic neuropathy. The association was strongest among younger participants.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, LifePoint Health, Danville, VA 24541, USA
| | - Matthew F Yuyun
- Department of Medicine, Harvard Medical School & Veteran Affairs Boston Healthcare System, Boston, MA 02132, USA
| | - Sebhat Erqou
- Department of Medicine, Division of Cardiology, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA 90095, USA
| | - Justin B Echouffo-Tcheugui
- Correspondence: Justin B. Echouffo-Tcheugui, MD, PhD, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Baltimore, MD 21224, USA.
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Erqou S, Adler AI, Challa AA, Fonarow GC, Echouffo-Tcheugui J. Insulin Resistance and Incident Heart Failure: A Meta-Analysis. Eur J Heart Fail 2022; 24:1139-1141. [PMID: 35502564 PMCID: PMC9262840 DOI: 10.1002/ejhf.2531] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/29/2022] [Accepted: 04/29/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Sebhat Erqou
- Division of Cardiovascular Medicine, Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | | | - Azariyas A Challa
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, California, USA
| | - Justin Echouffo-Tcheugui
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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17
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Lafo J, Singh M, Jiang L, Correia S, Madrigal C, Clements R, Wu WC, Erqou S, Rudolph JL. Outcomes in heart failure patients discharged to skilled nursing facilities with delirium. ESC Heart Fail 2022; 9:1891-1900. [PMID: 35293145 PMCID: PMC9065834 DOI: 10.1002/ehf2.13895] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 02/11/2022] [Accepted: 03/02/2022] [Indexed: 11/09/2022] Open
Abstract
AIM Heart failure (HF) outcomes are disproportionately worse in patients discharged to skilled nursing facilities (SNF) as opposed to home. We hypothesized that dementia and delirium were key factors influencing these differences. Our aim was to explore the associations of dementia and delirium with risk of hospital readmission and mortality in HF patients discharged to SNF. METHODS AND RESULTS The study population included Veterans hospitalized for a primary diagnosis of HF and discharged to SNFs between 2010 and 2015. Pre-existing dementia was identified based on International Classification of Diseases-9 codes. Delirium was determined using the Minimum Data Set 3.0 Confusion Assessment Method algorithm. Proportional hazard regression analyses were used to model outcomes and were adjusted for covariates of interest. Patients (n = 21 655) were older (77.0 ± 10.5 years) and predominantly male (96.9%). Four groups were created according to presence (+) or absence (-) of dementia and delirium. Relative to the dementia-/delirium- group, the dementia-/delirium+ group was associated with increased 30 day mortality [adjusted hazard ratio (HR) = 2.2, 95% confidence interval (CI) = 1.7, 3.0] and 365 day mortality (adjusted HR = 1.5, 95% CI = 1.3, 1.7). Readmission was highest in the dementia-/delirium+ group after 30 days (HR = 1.2, 95% CI = 1.0, 1.5). In the group with dementia (delirium-/dementia+), 30 day mortality (12.8%; HR = 0.7, 95% CI = 0.7, 0.8) and readmissions (5.3%; HR = 1.0, 95% CI = 0.8, 1.1) were not different relative to the reference group. CONCLUSIONS Delirium, independent of pre-existing dementia, confers increased risk of hospital readmission and mortality in HF patients discharged to SNFs. Managing HF after hospitalization is a complex cognitive task and an increased focus on mental status in the acute care setting prior to discharge is needed to improve HF management and transitional care, mitigate adverse outcomes, and reduce healthcare costs.
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Affiliation(s)
- Jacob Lafo
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA.,Department of Psychiatry & Human Behavior, Brown University, Providence, RI, USA
| | - Mriganka Singh
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Lan Jiang
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA
| | - Stephen Correia
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA.,Department of Psychiatry & Human Behavior, Brown University, Providence, RI, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.,Butler Hospital Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Caroline Madrigal
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA
| | - Rachel Clements
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA
| | - Wen-Chih Wu
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Sebhat Erqou
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - James L Rudolph
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, 830 Chalkstone Avenue, Providence, RI, 02908, USA.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.,Center for Gerontology, Brown University School of Public Health, Providence, RI, USA
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Zametkin E, Williams E, Feingold-Link M, Jiang L, Martin E, Erqou S, Gravenstein S, Wice M, Wu WC, Rudolph JL. Racial Differences in Burdensome Transitions in Heart Failure Patients with Palliative Care: A Propensity-Matched Analysis. J Palliat Med 2022; 25:1122-1126. [PMID: 35275739 DOI: 10.1089/jpm.2021.0317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Examining racial disparities in the treatment of heart failure (HF) patients and the effects of palliative care (PC) consultation is important to developing culturally competent clinical behaviors. Objective: To compare burdensome transitions for Black and White Veterans hospitalized with HF after PC consultation. Participants: This retrospective study evaluated Veterans admitted for HF to Veterans Administration hospitals who received PC consultation from October 2010 through August 2017. Methods: We propensity-matched Black to White Veterans using demographic, comorbidity, clinical, hospital, and survival time data. Results: Propensity matching of our cohort (n = 5638) yielded 796 Black and White Veterans (total n = 1592) who were well-matched on observed variables (standard mean difference <0.15 for all variables). Matched Black Veterans had more burdensome transitions than White Veterans (n = 218, 27.4% vs. n = 174, 21.9%; p = 0.011) over the six-month follow-up period. Conclusions: This propensity-matched cohort found racial differences in burdensome transitions among admitted HF patients after PC consultation.
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Affiliation(s)
- Emily Zametkin
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Edelva Williams
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Mara Feingold-Link
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports, Providence Veteran Affairs Medical Center, Providence, Rhode Island, USA
| | - Edward Martin
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Sebhat Erqou
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence Veteran Affairs Medical Center, Providence, Rhode Island, USA
| | - Stefan Gravenstein
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Mitchell Wice
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence Veteran Affairs Medical Center, Providence, Rhode Island, USA
| | - Wen-Chih Wu
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence Veteran Affairs Medical Center, Providence, Rhode Island, USA
| | - James L Rudolph
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence Veteran Affairs Medical Center, Providence, Rhode Island, USA
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Haji MS, Ge A, Halladay C, Soares C, Shah NR, Ross D, Sullivan JL, Rudolph JL, Wu WC, Erqou S. TWO DECADE TRENDS IN CARDIOVASCULAR DISEASE RISK FACTOR AND OUTCOME BURDEN AMONG VETERANS WITH HIV. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02637-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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20
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Khetpal V, Berkowitz J, Jiang L, Vijayakumar S, Ahmad K, Tcheugui JE, Menon A, Heffernan DS, Choudhary G, Rudolph J, Wu WC, Erqou S. LONG-TERM OUTCOMES OF VETERANS WITH A DIAGNOSIS OF HEART FAILURE AFTER CORONAVIRUS-2019 (COVID-19) INFECTION. J Am Coll Cardiol 2022. [PMCID: PMC8972592 DOI: 10.1016/s0735-1097(22)03146-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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21
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Berkowitz J, Khetpal V, Tcheugui JE, Aiyer AN, Kip KE, Reis SE, Erqou S. ASSOCIATIONS BETWEEN CUMULATIVE SOCIAL RISK, PSYCHOSOCIAL RISK, AND IDEAL CARDIOVASCULAR HEALTH: INSIGHTS FROM THE HEARTSCORE STUDY. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02482-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Affiliation(s)
- Nishant R Shah
- Division of Cardiology, Department of Medicine, Brown University Alpert Medical School, Providence, Rhode Island
| | - Vishal Khetpal
- Division of Cardiology, Department of Medicine, Brown University Alpert Medical School, Providence, Rhode Island
| | - Sebhat Erqou
- Division of Cardiology, Department of Medicine, Brown University Alpert Medical School, Providence, Rhode Island
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Kaze AD, Erqou S, Santhanam P, Bertoni AG, Ahima RS, Fonarow GC, Echouffo-Tcheugui JB. Variability of adiposity indices and incident heart failure among adults with type 2 diabetes. Cardiovasc Diabetol 2022; 21:16. [PMID: 35105339 PMCID: PMC8805255 DOI: 10.1186/s12933-021-01440-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 12/30/2021] [Indexed: 12/19/2022] Open
Abstract
Background It remains unclear how the variability of adiposity indices relates to incident HF. This study evaluated the associations of the variability in several adiposity indices with incident heart failure (HF) in individuals with type 2 diabetes (T2DM). Methods We included 4073 participants from the Look AHEAD (Action for Health in Diabetes) study. We assessed variability of body mass index (BMI), waist circumference (WC), and body weight across four annual visits using three variability metrics, the variability independent of the mean (VIM), coefficient of variation (CV), and intraindividual standard deviation (SD). Multivariable Cox regression models were used to generate adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for incident HF. Results Over a median of 6.7 years, 120 participants developed incident HF. After adjusting for relevant confounders including baseline adiposity levels, the aHR for the highest (Q4) versus lowest quartile (Q1) of VIM of BMI was 3.61 (95% CI 1.91–6.80). The corresponding aHRs for CV and SD of BMI were 2.48 (95% CI 1.36–4.53) and 2.88 (1.52–5.46), respectively. Regarding WC variability, the equivalent aHRs were 1.90 (95% CI 1.11–3.26), 1.79 (95% CI 1.07–3.01), and 1.73 (1.01–2.95) for Q4 versus Q1 of VIM, CV and SD of WC, respectively. Conclusions In a large sample of adults with T2DM, a greater variability of adiposity indices was associated with higher risks of incident HF, independently of traditional risk factors and baseline adiposity levels. Registration-URL:https://clinicaltrials.gov/ct2/show/NCT00000620. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01440-1.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, SOVAH Health, Danville, VA, USA
| | - Sebhat Erqou
- Department of Medicine, Division of Cardiology, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI, USA
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Gregg C Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA. .,Welch Prevention Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
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Kaze AD, Santhanam P, Erqou S, Ahima RS, Bertoni AG, Echouffo-Tcheugui JB. Body Weight Variability and Risk of Cardiovascular Outcomes and Death in the Context of Weight Loss Intervention Among Patients With Type 2 Diabetes. JAMA Netw Open 2022; 5:e220055. [PMID: 35179583 PMCID: PMC8857684 DOI: 10.1001/jamanetworkopen.2022.0055] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
IMPORTANCE Body weight fluctuation is associated with greater risks of adverse health outcomes. Whether intensive weight loss interventions affect the association of variability in adiposity measures with adverse health outcomes in individuals with type 2 diabetes has not been studied previously. OBJECTIVE To evaluate the associations of long-term variability in adiposity indices with cardiovascular disease (CVD) outcomes and whether these associations are affected by an intensive lifestyle intervention among adults with type 2 diabetes. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included participants in the Action for Health in Diabetes (Look AHEAD) trial without CVD at baseline (August 2001 to April 2004). The Look AHEAD study included 16 centers in the United States. Data analysis was performed from December 2020 to June 2021. EXPOSURES Variability of body mass index (BMI) and waist circumference (WC) across 4 annual visits, assessed using the coefficient of variation (CV), variability independent of the mean (VIM), and standard deviation (SD). MAIN OUTCOMES AND MEASURES Main outcomes were (1) all-cause mortality, (2) cardiovascular deaths (deaths from myocardial infarction [MI] or stroke), and (3) CVD events (MI, stroke, and/or death from cardiovascular causes). RESULTS Among 3604 study participants (mean [SD] age, 58.4 [6.6] years; 2240 [62.3%] women; 1364 [37.7%] Black participants; 2404 [66%] White participants), there were 216 CVD events, 33 CVD deaths, and 166 deaths over a median of 6.7 years. In the control group, the hazard ratios (HRs) for the highest quartile (quartile 4) compared with the lowest quartile (quartile 1) of CV of BMI were 4.06 (95% CI, 2.17-7.57), 15.28 (95% CI, 2.89-80.90), and 2.16 (95% CI, 1.21-3.87) for all-cause mortality, CVD mortality, and cardiovascular events, respectively. In the intervention group, the corresponding HRs were 0.99 (95% CI, 0.45-2.16), 1.14 (95% CI, 0.12-10.53), and 0.77 (95% CI, 0.40-1.49) for quartile 4 vs quartile 1. Regarding WC, in the control group, HRs for quartile 4 vs quartile 1 were 1.84 (95% CI, 1.01-3.35), 6.46 (95% CI, 1.16-36.01), and 1.28 (95% CI, 0.72-2.29). In the intervention group, HRs were 1.23 (95% CI, 0.61-2.46), 0.55 (95% CI, 0.15-2.11), and 0.70 (95% CI, 0.39-1.25) for quartile 4 vs quartile 1. CONCLUSIONS AND RELEVANCE In this cohort study of individuals with type 2 diabetes, higher variability of adiposity indices was associated with significantly increased risk of CVD outcomes and death in the control group but not in the intensive lifestyle intervention group.
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Affiliation(s)
- Arnaud D. Kaze
- Department of Medicine, SOVAH Health, Danville, Maryland
| | - Prasanna Santhanam
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Sebhat Erqou
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island
- Alpert Medical School, Brown University, Providence, Rhode Island
| | - Rexford S. Ahima
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Alain G. Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Justin B. Echouffo-Tcheugui
- Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
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Kaze AD, Yuyun MF, Erqou S, Fonarow GC, Echouffo‐Tcheugui JB. Cardiac Autonomic Neuropathy and Risk of Incident Heart Failure Among Adults with Type 2 Diabetes. Eur J Heart Fail 2022; 24:634-641. [PMID: 35064959 PMCID: PMC10106110 DOI: 10.1002/ejhf.2432] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/29/2021] [Accepted: 01/13/2022] [Indexed: 11/07/2022] Open
Abstract
AIMS Community-based data on the association between cardiac autonomic neuropathy (CAN) and incident heart failure (HF) in type 2 diabetes are limited. We evaluated the association of CAN with incident HF in adults with type 2 diabetes. METHODS AND RESULTS This analysis included participants from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study without HF at baseline. CAN was assessed by electrocardiogram-based measures of heart rate variability (HRV) and QT interval index (QTI). HRV was measured using standard deviation of all normal-to-normal intervals (SDNN) and root mean square of successive differences between normal-to-normal intervals (rMSSD). CAN was defined using composite measures of the lowest quartile of SDNN and highest quartiles of QTI and heart rate. Multivariable Cox regression models were used to generate adjusted hazard ratios (aHR) for HF in relation to various CAN measures. A total of 7160 participants (mean age 62.3 [standard deviation 6.4] years, 40.8% women, 61.9% white) were included. Over a median follow-up of 4.9 years (interquartile range 4.0-5.7), 222 participants developed incident HF. After multivariable adjustment for relevant confounders, lower HRV as assessed by SDNN was associated with a higher risk of HF (aHR for the lowest vs highest quartile of SDNN: 1.70, 95% confidence interval [CI] 1.14-2.54). Participants with CAN (defined as lowest quartile of SDNN and highest quartiles of QTI and heart rate) had a 2.7-fold greater risk of HF (aHR 2.65, 95% CI 1.57-4.48). CONCLUSIONS In a large cohort of adults with type 2 diabetes, CAN was independently associated with higher risk of incident HF.
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Affiliation(s)
- Arnaud D. Kaze
- Department of Medicine University of Maryland Medical Center Baltimore MD USA
| | - Matthew F. Yuyun
- Department of Medicine, Division of Cardiology Harvard Medical School & Veteran Affairs Boston Healthcare System Boston Massachusetts USA
| | - Sebhat Erqou
- Department of Medicine, Division of Cardiology Providence VA Medical Center and Alpert Medical School of Brown University Providence RI USA
| | - Gregg C Fonarow
- Ahmanson‐UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center Los Angeles CA USA
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Kaze AD, Agoons DD, Santhanam P, Erqou S, Ahima RS, Echouffo-Tcheugui JB. Correlates of cardiorespiratory fitness among overweight or obese individuals with type 2 diabetes. BMJ Open Diabetes Res Care 2022; 10:10/1/e002446. [PMID: 34987052 PMCID: PMC8734012 DOI: 10.1136/bmjdrc-2021-002446] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 10/17/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Mechanistic studies suggest that type 2 diabetes is independently associated with low cardiorespiratory fitness (CRF). Little is known about the CRF profile in type 2 diabetes; we assessed the correlates of low CRF among overweight/obese adults with type 2 diabetes. RESEARCH DESIGN AND METHODS A total of 4215 participants with type 2 diabetes and without cardiovascular disease underwent maximal exercise testing in the Look AHEAD (Action for Health in Diabetes) study. Low CRF was defined based on the Aerobics Center Longitudinal Study reference standards. Calorie intake and physical activity were assessed using questionnaires. Body fat composition was assessed using dual-energy X-ray absorptiometry. RESULTS Waist circumference, systolic blood pressure, glycemic measures, whole body fat, caloric intake, and fat-free mass were inversely associated with fitness across sex (all p<0.001). Comparing with moderate or high CRF groups, the low CRF group was associated with higher adjusted odds of obesity (OR 3.19 (95% CI 1.95 to 5.20) in men, 3.86 (95% CI 2.55 to 5.84)) in women), abdominal obesity (OR 3.99 (95% CI 2.00 to 7.96) in men, 2.28 (95% CI 1.08 to 4.79) in women), hypertension (OR 1.74 (95% CI 1.09 to 2.77) in men, 1.44 (95% CI 1.02 to 2.05) in women), metabolic syndrome (OR 5.52 (95% CI 2.51 to 12.14) in men, 2.25 (95% CI 1.35 to 3.76) in women), use of beta-blocker (1.22 (95% CI 0.86 to 1.73) in men, 1.33 (95% CI 1.03 to 1.73) in women), and ACE inhibitor/angiotensin-receptor blocker (1.86 (95% CI 1.39 to 2.50) in men, 1.07 (95% CI 0.86 to 1.32) in women). Women with low CRF had higher odds of current smoking (2.02 (95% CI 1.25 to 3.28)). CONCLUSIONS Low CRF was associated with increased odds of cardiometabolic correlates in a large cohort of adults with type 2 diabetes.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Dayawa Da Agoons
- Department of Medicine, UPMC Pinnacle, Harrisburg, Pennsylvania, USA
| | - Prasanna Santhanam
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sebhat Erqou
- Department of Medicine, Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
| | - Rexford S Ahima
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Soares C, Samara A, Yuyun MF, Echouffo-Tcheugui JB, Masri A, Samara A, Morrison AR, Lin N, Wu WC, Erqou S. Coronary Artery Calcification and Plaque Characteristics in People Living With HIV: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2021; 10:e019291. [PMID: 34585590 PMCID: PMC8649136 DOI: 10.1161/jaha.120.019291] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Studies have reported that people living with HIV have higher burden of subclinical cardiovascular disease, but the data are not adequately synthesized. We performed meta‐analyses of studies of coronary artery calcium and coronary plaque in people living with HIV. Methods and Results We performed systematic search in electronic databases, and data were abstracted in standardized forms. Study‐specific estimates were pooled using meta‐analysis. 43 reports representing 27 unique studies and involving 10 867 participants (6699 HIV positive, 4168 HIV negative, mean age 52 years, 86% men, 32% Black) were included. The HIV‐positive participants were younger (mean age 49 versus 57 years) and had lower Framingham Risk Score (mean score 6 versus 18) compared with the HIV‐negative participants. The pooled estimate of percentage with coronary artery calcium >0 was 45% (95% CI, 43%–47%) for HIV‐positive participants, and 52% (50%–53%) for HIV‐negative participants. This difference was no longer significant after adjusting for difference in Framingham Risk Score between the 2 groups. The odds ratio of coronary artery calcium progression for HIV‐positive versus ‐negative participants was 1.64 (95% CI, 0.91–2.37). The pooled estimate for prevalence of noncalcified plaque was 49% (95% CI, 47%–52%) versus 20% (95% CI, 17%–23%) for HIV‐positive versus HIV‐negative participants, respectively. Odds ratio for noncalcified plaque for HIV‐positive versus ‐negative participants was 1.23 (95% CI, 1.08–1.38). There was significant heterogeneity that was only partially explained by available study‐level characteristics. Conclusions People living with HIV have higher prevalence of noncalcified coronary plaques and similar prevalence of coronary artery calcium, compared with HIV‐negative individuals. Future studies on coronary artery calcium and plaque progression can further elucidate subclinical atherosclerosis in people living with HIV.
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Affiliation(s)
- Cullen Soares
- Department of Medicine University of Maryland Baltimore MD
| | - Amjad Samara
- Washington University School of Medicine St. Louis MO
| | - Matthew F Yuyun
- Department of Medicine Harvard Medical School Boston MA.,Division of Cardiology and Vascular Medicine Boston Healthcare System Boston MA.,Department of Medicine Boston University School of Medicine Boston MA
| | - Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes & Metabolism Department of Medicine Johns Hopkins School of Medicine Baltimore MD
| | - Ahmad Masri
- Department of Medicine Oregon Health & Science University Portland OR
| | - Ahmad Samara
- Department of Medicine An-Najah National University Nablus Palestine
| | - Alan R Morrison
- Division of Cardiology VA Providence Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI
| | - Nina Lin
- Department of Medicine Boston University Boston MA
| | - Wen-Chih Wu
- Division of Cardiology VA Providence Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI
| | - Sebhat Erqou
- Division of Cardiology VA Providence Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI
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Kaze AD, Santhanam P, Erqou S, Yuyun M, Bertoni AG, Ahima RS, Echouffo-Tcheugui JB. Long-Term Variability of Blood Pressure, Cardiovascular Outcomes, and Mortality: The Look AHEAD Study. Am J Hypertens 2021; 34:689-697. [PMID: 33825813 DOI: 10.1093/ajh/hpaa210] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 11/09/2020] [Accepted: 03/31/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND We evaluated the associations of visit-to-visit blood pressure (BP) variability with incident cardiovascular disease (CVD) and deaths in adults with type 2 diabetes. METHODS We analyzed 4,152 participants in Look AHEAD (Action for Health in Diabetes) free of CVD events and deaths during the first 36 months of follow-up. Variability of systolic BP (SBP) and diastolic BP (DBP) across 4 annual visits was assessed using the intraindividual SD, variation independent of the mean, and coefficient of variation. Cox regression was used to generate the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for CVD (myocardial infarction [MI], stroke, or CVD-related deaths) and mortality. RESULTS Over a median of 6.6 years, there were 220 MIs, 105 stroke cases, 62 CVD-related deaths, and 236 deaths. After adjustment for confounders including average BP, the aHRs for the highest (vs. lowest) tertile of SD of SBP were 1.98 (95% CI 1.01-3.92), 1.25 (95% CI 0.90-1.72), 1.26 (95% CI 0.96-1.64), 1.05 (95% CI 0.75-1.46), and 1.64 (95% CI 0.99-2.72) for CVD mortality, all-cause mortality, CVD, MI, and stroke, respectively. The equivalent aHRs for SD of DBP were 1.84 (95% CI 0.98-3.48), 1.43 (95% CI 1.03-1.98), 1.19 (95% CI 0.91-1.56), 1.14 (95% CI 0.82-1.58), and 0.97 (95% CI 0.58-1.60), respectively. CONCLUSIONS In a large sample of individuals with type 2 diabetes, a greater variability in SBP was associated with higher cardiovascular mortality and CVD events; a higher variability in DBP was linked to increased overall and cardiovascular mortality.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Sebhat Erqou
- Department of Medicine, Providence Veterans Affairs Medical Center and Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Matthew Yuyun
- Department of Medicine, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Kaze AD, Santhanam P, Erqou S, Ahima RS, Bertoni A, Echouffo-Tcheugui JB. Microvascular Disease and Incident Heart Failure Among Individuals With Type 2 Diabetes Mellitus. J Am Heart Assoc 2021; 10:e018998. [PMID: 34107742 PMCID: PMC8477890 DOI: 10.1161/jaha.120.018998] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background Microvascular disease (MVD) is a potential contributor to the pathogenesis of diabetes mellitus-related cardiac dysfunction. However, there is a paucity of data on the link between MVD and incident heart failure (HF) in type 2 diabetes mellitus. We examined the association of MVD with incident HF in adults with type 2 diabetes mellitus. Methods and Results A total of 4095 participants with type 2 diabetes mellitus and free of HF were assessed for diabetes mellitus-related MVD including nephropathy, retinopathy, or neuropathy at baseline in the Look AHEAD (Action for Health in Diabetes) study. Incident HF events were prospectively assessed and adjudicated using hospital and death records. Cox models were used to generate hazard ratios and 95% CIs for HF. Of 4095 participants, 34.8% (n=1424) had MVD, defined as the presence of ≥1 of nephropathy, retinopathy, or neuropathy at baseline. Over a median of 9.7 years, there were 117 HF events. After adjusting for relevant confounders, participants with MVD had a 2.5-fold higher risk of incident HF than those without MVD (hazard ratio, 2.54; 95% CI, 1.73-3.75). This association remained significant after additional adjustment for interval development of coronary artery disease (hazard ratio, 2.42; 95% CI, 1.64-3.57). The hazard ratios for HF by type of MVD were 2.22 (95% CI, 1.51-3.27), 1.30 (95% CI, 0.72-2.36), and 1.33 (95% CI, 0.86-2.07) for nephropathy, retinopathy, and neuropathy, respectively. CONCLUSIONS MVD is associated with an excess HF risk in individuals with type 2 diabetes mellitus after adjusting for other known risk factors. Our findings underscore the contribution of MVD to the development of diabetes mellitus-related HF. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00017953.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine University of Maryland Medical Center Baltimore MD
| | - Prasanna Santhanam
- Division of Endocrinology, Diabetes & Metabolism Johns Hopkins School of Medicine Baltimore MD
| | - Sebhat Erqou
- Department of Medicine Providence VA Medical Center and Alpert Medical School of Brown University Providence RI
| | - Rexford S Ahima
- Division of Endocrinology, Diabetes & Metabolism Johns Hopkins School of Medicine Baltimore MD
| | - Alain Bertoni
- Department of Epidemiology and Prevention Wake Forest University School of Medicine Winston-Salem NC
| | - Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes & Metabolism Johns Hopkins School of Medicine Baltimore MD.,Welch Prevention Center for Prevention, Epidemiology and Clinical Research Johns Hopkins University Baltimore MD
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30
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Kaze AD, Santhanam P, Erqou S, Bertoni AG, Ahima RS, Echouffo-Tcheugui JB. Microvascular disease and cardiovascular outcomes among individuals with type 2 diabetes. Diabetes Res Clin Pract 2021; 176:108859. [PMID: 33989668 PMCID: PMC8627586 DOI: 10.1016/j.diabres.2021.108859] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/13/2021] [Accepted: 05/07/2021] [Indexed: 11/24/2022]
Abstract
AIM To evaluate the associations of microvascular disease (MVD) with incident cardiovascular disease (CVD) in individuals with type 2 diabetes. METHODS A total of 4098 participants with type 2 diabetes and without CVD were assessed for MVD (diabetic kidney disease, retinopathy or neuropathy) in the Look AHEAD (Action for Health in Diabetes) study. Cox models were used to generate hazard ratios (HRs) for: (1) CVD composite (myocardial infarction, stroke, hospitalization for angina and/or death from cardiovascular causes), (2) coronary artery disease (CAD), (3) stroke, and (4) CVD-related deaths. RESULTS Of 4098 participants, 34.7% (n = 1424) had MVD at baseline. Over a median of 9.5 years, 487 developed the CVD composite, 410 CAD events, 100 stroke, and 54 CVD-related deaths. After adjusting for relevant confounders, MVD was associated with increased risks of CVD composite (HR 1.34, 95% CI 1.11-1.61), CAD (HR 1.24, 95% CI 1.01-1.52), stroke (HR 1.55, 95% CI 1.03-2.33), and cardiovascular mortality (HR 1.26, 95% CI 0.72-2.22). HRs for CVD composite by type of MVD were 1.11 (95% CI 0.89-1.38), 1.63 (95% CI 1.22-2.17) and 1.16 (95% CI 0.92-1.46) for diabetic kidney disease, retinopathy, and neuropathy, respectively. CONCLUSIONS Our findings underscore the relevance of MVD in CVD risk assessment in type 2 diabetes.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Prasanna Santhanam
- Department of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Sebhat Erqou
- Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI, USA
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Rexford S Ahima
- Department of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
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Kaze AD, Santhanam P, Erqou S, Bertoni AG, Ahima RS, Echouffo-Tcheugui JB. Cardiorespiratory Fitness and Atherosclerotic Cardiovascular Outcomes by Levels of Baseline-Predicted Cardiovascular Risk: The Look AHEAD Study. Am J Med 2021; 134:769-776.e1. [PMID: 33607087 PMCID: PMC8176653 DOI: 10.1016/j.amjmed.2021.01.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 01/08/2021] [Accepted: 01/11/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND We evaluated the associations of cardiorespiratory fitness with atherosclerotic cardiovascular disease (ASCVD) by levels of baseline-predicted ASCVD risk among adults with type 2 diabetes. METHODS We analyzed data from 4203 adults with type 2 diabetes in the Look AHEAD (Action for Health in Diabetes) study. Cardiorespiratory fitness was assessed using maximal exercise testing and categorized into low, moderate, and high; baseline-predicted. ASCVD risk was calculated using the American College of Cardiology/American Heart Association Pooled Cohort Equation. We used Cox regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ASCVD events (fatal and nonfatal myocardial infarction and stroke). RESULTS Over a median of 9.6 years, there were 295 ASCVD events. The effect of fitness on outcomes was different across levels of 10-year predicted ASCVD risk (P for interaction < .001). Among participants with a baseline-predicted risk of 7.5% to 20%, the HR of low (vs high) fitness group was 1.94 (95% CI, 1.12-3.35) for ASCVD events. Fitness was not significantly associated with ASCVD events in the groups with baseline-predicted risk <7.5% (HR 1.53; 95% CI, 0.49-4.76) or ≥20% (HR 1.40; 95% CI, 0.88-2.24). A similar pattern was observed for myocardial infarction and stroke separately. CONCLUSIONS In a large sample of type 2 diabetes individuals, the association of low fitness with incident ASCVD was modified by the baseline-predicted 10-year ASCVD risk. Our findings suggest the utility of assessing fitness in ASCVD risk stratification in type 2 diabetes, especially among those with intermediate predicted 10-year risk of ASCVD.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, University of Maryland Medical Center, Baltimore
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Md
| | - Sebhat Erqou
- Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Md
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Md.
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Kaze AD, Santhanam P, Erqou S, Bertoni AG, Ahima RS, Echouffo-Tcheugui JB. Long-term variability of blood pressure and incidence of heart failure among individuals with Type 2 diabetes. ESC Heart Fail 2021; 8:2959-2967. [PMID: 34032375 PMCID: PMC8318432 DOI: 10.1002/ehf2.13385] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/08/2021] [Accepted: 04/12/2021] [Indexed: 01/01/2023] Open
Abstract
AIMS Data on the association of long-term variability of blood pressure (BP) with incident heart failure (HF) in individuals with Type 2 diabetes are scarce. We evaluated this association in a large community-based sample of adults with Type 2 diabetes. METHODS AND RESULTS A total of 4200 participants with Type 2 diabetes who had available BP measurements at four visits (baseline and 12, 24, and 36 months) in the Look AHEAD (Action for Health in Diabetes) study were included. Variability of systolic BP (SBP) and diastolic BP (DBP) across the four visits was assessed using four metrics. Participants free of HF during the first 36 months were followed for HF events. Cox regression was used to generate hazard ratios (HRs) and 95% confidence intervals (CIs) for HF. Of the 4200 participants, the average age was 59 years [standard deviation (SD): 6.8]; 58.5% were women. Over a median follow-up of 6.7 years, 129 developed HF events. After adjusting for relevant confounders, the HR of incident HF for the highest vs. lowest quartile of SD of SBP was 1.77 (95% CI 1.01-3.09); the HR for the highest (vs. lowest) quartile of variability independent of the mean of SBP was 1.29 (95% CI 0.78-2.14). The adjusted HR for participants in the highest (compared with the lowest) quartile of SD of DBP was 1.61 (95% CI 1.01-2.59), and the adjusted HR for variability independent of the mean of DBP was 1.65 (95% CI 1.03-2.65). CONCLUSIONS A greater variability in SBP and DBP is independently associated with greater risk of incident HF in individuals with Type 2 diabetes.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, University of Maryland Medical Center, Baltimore, MD, USA
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA
| | - Sebhat Erqou
- Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI, USA
| | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA
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Erqou S, Jiang L, Choudhary G, Lally M, Freiberg M, Lin NH, Shireman TI, Rudolph JL, Wu WC. Age at Diagnosis of Heart Failure in United States Veterans With and Without HIV Infection. J Am Heart Assoc 2021; 10:e018983. [PMID: 33998245 PMCID: PMC8483515 DOI: 10.1161/jaha.120.018983] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Although HIV is associated with increased risk of heart failure (HF), it is not known if people living with HIV develop HF at a younger age compared with individuals without HIV. Crude comparisons of age at diagnosis of HF between individuals with and without HIV does not account for differences in underlying age structures between the populations. Methods and Results We used Veterans Health Administration data to compare the age at HF diagnosis between veterans with and without HIV, with adjustment for difference in population age structure. Statistical weights, calculated for each 1‐year strata of veterans with HIV in each calendar year from 2000 to 2018, were applied to the veterans without HIV to standardize the age structure. We identified 5093 veterans with HIV (98% men, 34% White) with first HF episode recorded after HIV diagnosis (median age at incidence of HF, 58 years), and 1 425 987 veterans without HIV (98% men, 78% White) with HF (corresponding age, 72 years), with an absolute difference of 14 years. After accounting for difference in age structure, the adjusted median age at HF diagnosis for veterans without HIV was 63 years, 5 years difference with veterans with HIV (P<0.001). The age differences were consistent across important subgroups such as preserved versus reduced ejection fraction and inpatient versus outpatient index HF. Conclusions Veterans with HIV are diagnosed with HF at a significantly younger age compared with veterans without HIV. These findings may have implications for HF prevention in individuals with HIV. Future studies are needed to make the findings more generalizable.
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Affiliation(s)
- Sebhat Erqou
- Department of Medicine Providence VA Medical Center Providence RI.,Center of Innovation in Long Term Services and Supports Providence VA Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports Providence VA Medical Center Providence RI
| | - Gaurav Choudhary
- Department of Medicine Providence VA Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI
| | - Michelle Lally
- Department of Medicine Providence VA Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI
| | | | - Nina H Lin
- Department of Medicine Boston University Boston MA
| | | | - James L Rudolph
- Department of Medicine Providence VA Medical Center Providence RI.,Center of Innovation in Long Term Services and Supports Providence VA Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI.,Brown University School of Public Health Providence RI
| | - Wen-Chih Wu
- Department of Medicine Providence VA Medical Center Providence RI.,Center of Innovation in Long Term Services and Supports Providence VA Medical Center Providence RI.,Department of Medicine Alpert Medical School of Brown University Providence RI.,Brown University School of Public Health Providence RI
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Quach LT, Primack J, Bozzay M, Madrigal C, Erqou S, Rudolph JL. The Intersection of Physical and Social Frailty in Older Adults. R I Med J (2013) 2021; 104:16-19. [PMID: 33926153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Frailty, a vulnerability to stressors, has been increasingly woven into the clinical understanding of older people who are unable to respond to the impact of diseases, disability, and age-related decline. While the literature has focused on physical frailty, social frailty has been conceptualized within the domains of social needs (social and emotional support, loneliness), resources (income, food, housing, medical care, etc), social fulfillment (engagement in work and activities), and self-management (cognitive function, mental health, advance planning). This review outlines the assessment of the four domains of social frailty within the structure of clinical visits, particularly annual wellness and advance care planning. Increasing connectivity with the community, health system, and government support is the primary recommended intervention. On a policy level, expanding opportunities to connect socially frail people with resources may help mitigate the vulnerability of physical frailty.
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Affiliation(s)
- Lien T Quach
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI; The University of Massachusetts Boston, Department of Gerontology, Boston, MA; Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA
| | - Jennifer Primack
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI; Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI
| | - Melanie Bozzay
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI; VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI
| | - Caroline Madrigal
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI
| | - Sebhat Erqou
- Department of Medicine, Alpert Medical School of Brown University and Providence VA Medical Center, Providence, RI
| | - James L Rudolph
- VA Center of Innovation in Long Term Services, Providence VA Medical Center, Providence, RI; Division of Geriatrics and Palliative Medicine, Warren Alpert Medical School of Brown University, Providence, RI; Center for Gerontology and Health Services Research, Brown University School of Public Health, Providence RI
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Rumery K, Seo A, Jiang L, Choudhary G, Shah NR, Rudolph JL, Wu WC, Erqou S. Outcomes of coronavirus disease-2019 among veterans with pre-existing diagnosis of heart failure. ESC Heart Fail 2021; 8:2338-2344. [PMID: 33728800 PMCID: PMC8120381 DOI: 10.1002/ehf2.13291] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/24/2021] [Accepted: 02/19/2021] [Indexed: 12/15/2022] Open
Abstract
Aims Pre‐existing cardiovascular disease in general and related risk factors have been associated with poor coronavirus disease‐2019 (COVID‐19) outcomes. However, data on outcomes of COVID‐19 among people with pre‐existing diagnosis of heart failure (HF) have not been studied in sufficient detail. We aimed to perform detailed characterization of the association of pre‐existing HF with COVID‐19 outcomes. Methods and results A retrospective cohort study based on Veterans Health Administration (VHA) data comparing 30 day mortality and hospital admission rates after COVID‐19 diagnosis among Veterans with and without pre‐existing diagnosis of HF. Cox‐regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) with adjustment for covariates. Among 31 051 veterans (97% male) with COVID‐19, 6148 had pre‐existing diagnosis of HF. The mean (SD) age of patients with HF was 70 (13) whereas the mean (SD) age of patients without HF was 57 (17). Within the HF group with available data on left ventricular ejection fraction (EF), 1844 patients (63.4%) had an EF of >45%, and 1063 patients (36.6%) had an EF of ≤45%. Patients in the HF cohort had higher 30 day mortality (5.4% vs. 1.5%) and admission (18.5% vs. 8.4%) rates after diagnosis of COVID‐19. After adjustment for age, sex, and race, HRs (95% CIs) for 30 day mortality and for 30 day hospital admissions were 1.87 (1.61–2.17) and 1.79 (1.66–1.93), respectively. After additional adjustment for medical comorbidities, HRs for 30 day mortality and for 30 day hospital admissions were 1.37 (1.15–1.64) and 1.27 (1.16–1.38), respectively. The findings were similar among HF patients with preserved vs. reduced EF, among those taking vs. not taking angiotensin‐converting enzyme inhibitors, angiotensin receptor blockers or angiotensin receptor neprilysin inhibitors, and among those taking vs. not taking anticoagulants. Conclusions Patients with COVID‐19 and pre‐existing diagnosis of HF had a higher risk of 30 day mortality and hospital admissions compared to those without history of HF. The findings were similar by EF categories and by angiotensin‐converting enzyme inhibitors/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitors or anticoagulant use.
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Affiliation(s)
- Kyle Rumery
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Angie Seo
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Lan Jiang
- Department of Medicine, Providence VA Medical Center, Providence, RI, USA.,Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Lifespan Cardiovascular Institute, Providence, RI, USA
| | - Gaurav Choudhary
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.,Department of Medicine, Providence VA Medical Center, Providence, RI, USA
| | - Nishant R Shah
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.,Department of Medicine, Providence VA Medical Center, Providence, RI, USA.,Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Lifespan Cardiovascular Institute, Providence, RI, USA.,School of Public Health, Brown University, Providence, RI, USA
| | - James L Rudolph
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.,Department of Medicine, Providence VA Medical Center, Providence, RI, USA.,Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Lifespan Cardiovascular Institute, Providence, RI, USA.,School of Public Health, Brown University, Providence, RI, USA
| | - Wen-Chih Wu
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.,Department of Medicine, Providence VA Medical Center, Providence, RI, USA.,Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Lifespan Cardiovascular Institute, Providence, RI, USA.,School of Public Health, Brown University, Providence, RI, USA
| | - Sebhat Erqou
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.,Department of Medicine, Providence VA Medical Center, Providence, RI, USA.,Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Lifespan Cardiovascular Institute, Providence, RI, USA
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Madrigal C, Kim J, Jiang L, Lafo J, Bozzay M, Primack J, Correia S, Erqou S, Wu WC, Rudolph JL. Delirium and Functional Recovery in Patients Discharged to Skilled Nursing Facilities After Hospitalization for Heart Failure. JAMA Netw Open 2021; 4:e2037968. [PMID: 33724390 PMCID: PMC7967078 DOI: 10.1001/jamanetworkopen.2020.37968] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE A substantial number of patients discharged to skilled nursing facilities (SNFs) after heart failure (HF) hospitalization experience regression in function or do not improve. Delirium is one of few modifiable risk factors in this patient population. Therefore, understanding the role of delirium in functional recovery may be useful for improving outcomes. OBJECTIVE To assess the association of delirium with 30-day functional improvement in patients discharged to SNFs after HF hospitalization. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study included patients hospitalized for HF in 129 US Department of Veterans Affairs hospitals who were discharged to SNFs from October 1, 2010, to September 30, 2015. Data were analyzed from June 14 to December 18, 2020. EXPOSURES Delirium, as determined by the Minimum Data Set (MDS) 3.0 Confusion Assessment Method, with dementia as a covariate, determined via International Classification of Diseases, Ninth Revision (ICD-9) coding. MAIN OUTCOMES AND MEASURES The difference between admission and 30-day MDS 3.0 Activities of Daily Living (ADL) scores. RESULTS A total of 20 495 patients (mean [SD] age, 78 [10.3] years; 78.9% White; and 97% male) were included in the analysis. Of the total sample, 882 patients (4.3%) had delirium on an SNF admission. The mean (SD) baseline ADL score on admission to SNF was significantly worse among patients with delirium than without (18.3 [4.7] vs 16.1 [5.2]; P < .001; d = 0.44.). On the 30-day repeated assessment, mean (SD) function (ADL scores) improved for both patients with delirium (0.6 [2.9]) and without delirium (1.8 [3.6]) (P < .001; d = -0.38). In the multivariate adjusted model, delirium was associated with statistically significant lower ADL improvement (difference in ADL score, -1.07; 95% CI, -1.31 to -0.83; P < .001). CONCLUSIONS AND RELEVANCE In this retrospective cohort study, patients with HF discharged to SNFs with delirium were less likely to show improvement in function compared with patients without delirium. Findings suggest a potential need to reexamine how and when health care professionals assess delirium in HF patients throughout their hospitalization and SNF course. Identifying and treating delirium for HF patients earlier in their care trajectory may play an important role in improving care and long-term functional outcomes in this population. Future research is warranted to further investigate the association between delirium and functional recovery for HF and other patient populations.
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Affiliation(s)
- Caroline Madrigal
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
| | - Jenny Kim
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
| | - Lan Jiang
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
| | - Jacob Lafo
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Melanie Bozzay
- Department of Psychiatry & Human Behavior, Brown University, Providence, Rhode Island
- Providence VA Medical Center, Center for Neurorestoration and Neurotechnology, Providence, Rhode Island
| | - Jennifer Primack
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Providence VA Medical Center, Center for Neurorestoration and Neurotechnology, Providence, Rhode Island
| | - Stephen Correia
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Department of Psychiatry & Human Behavior, Brown University, Providence, Rhode Island
- Butler Hospital, Providence, Rhode Island
| | - Sebhat Erqou
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Wen-Chih Wu
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - James L. Rudolph
- Providence VA Medical Center, Center of Innovation in Long Term Services and Supports, Providence, Rhode Island
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Center for Gerontology, Brown University School of Public Health, Providence, Rhode Island
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Ahmad K, Erqou S, Shah N, Nazir U, Morrison AR, Choudhary G, Wu WC. Association of poor housing conditions with COVID-19 incidence and mortality across US counties. PLoS One 2020; 15:e0241327. [PMID: 33137155 PMCID: PMC7605696 DOI: 10.1371/journal.pone.0241327] [Citation(s) in RCA: 116] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 10/13/2020] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Poor housing conditions have been linked with worse health outcomes and infectious disease spread. Since the relationship of poor housing conditions with incidence and mortality of COVID-19 is unknown, we investigated the association between poor housing condition and COVID-19 incidence and mortality in US counties. METHODS We conducted cross-sectional analysis of county-level data from the US Centers for Disease Control, US Census Bureau and John Hopkins Coronavirus Resource Center for 3135 US counties. The exposure of interest was percentage of households with poor housing conditions (one or greater of: overcrowding, high housing cost, incomplete kitchen facilities, or incomplete plumbing facilities). Outcomes were incidence rate ratios (IRR) and mortality rate ratios (MRR) of COVID-19 across US counties through 4/21/2020. Multilevel generalized linear modeling (with total population of each county as a denominator) was utilized to estimate relative risk of incidence and mortality related to poor housing conditions with adjustment for population density and county characteristics including demographics, income, education, prevalence of medical comorbidities, access to healthcare insurance and emergency rooms, and state-level COVID-19 test density. We report incidence rate ratios (IRRs) and mortality ratios (MRRs) for a 5% increase in prevalence in households with poor housing conditions. RESULTS Across 3135 US counties, the mean percentage of households with poor housing conditions was 14.2% (range 2.7% to 60.2%). On April 21st, the mean (SD) number of cases and deaths of COVID-19 were 255.68 (2877.03) cases and 13.90 (272.22) deaths per county, respectively. In the adjusted models standardized by county population, with each 5% increase in percent households with poor housing conditions, there was a 50% higher risk of COVID-19 incidence (IRR 1.50, 95% CI: 1.38-1.62) and a 42% higher risk of COVID-19 mortality (MRR 1.42, 95% CI: 1.25-1.61). Results remained similar using earlier timepoints (3/31/2020 and 4/10/2020). CONCLUSIONS AND RELEVANCE Counties with a higher percentage of households with poor housing had higher incidence of, and mortality associated with, COVID-19. These findings suggest targeted health policies to support individuals living in poor housing conditions should be considered in further efforts to mitigate adverse outcomes associated with COVID-19.
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Affiliation(s)
- Khansa Ahmad
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
| | - Sebhat Erqou
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
| | - Nishant Shah
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
| | - Umair Nazir
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
| | - Alan R. Morrison
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
| | - Gaurav Choudhary
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
| | - Wen-Chih Wu
- The Providence Veterans Affairs Medical Center, Lifespan Hospitals and the Warren Alpert Medical School at Brown University, Providence, Rhode Island, United States of America
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Kaze AD, Santhanam P, Erqou S, Ahima RS, Echouffo-Tcheugui JB. Long-term variability of glycemic markers and risk of all-cause mortality in type 2 diabetes: the Look AHEAD study. BMJ Open Diabetes Res Care 2020; 8:8/2/e001753. [PMID: 33257421 PMCID: PMC7705503 DOI: 10.1136/bmjdrc-2020-001753] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 10/08/2020] [Accepted: 11/03/2020] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Glycemic variability may predict poor outcomes in type 2 diabetes. We evaluated the associations of long-term variability in glycosylated hemoglobin (HbA1C) and fasting plasma glucose (FPG) with cardiovascular disease (CVD) and death among individuals with type 2 diabetes. RESEARCH DESIGN AND METHODS We conducted a secondary, prospective cohort analysis of the Look AHEAD (Action for Health in Diabetes) data, including 3560 participants who attended four visits (baseline, 12 months, 24 months, and 36 months) at the outset. Variability of HbA1C and FPG was assessed using four indices across measurements from four study visits. Participants without CVD during the first 36 months were followed for incident outcomes including a CVD composite (myocardial infarction, stroke, hospitalization for angina, and CVD-related deaths), heart failure (HF), and deaths. RESULTS Over a median follow-up of 6.8 years, there were 164 deaths from any cause, 33 CVD-related deaths, 91 HF events, and 340 participants experienced the CVD composite. Adjusted HRs comparing the highest to lowest quartile of SD of HbA1C were 2.10 (95% CI 1.26 to 3.51), 3.43 (95% CI 0.95 to 12.38), 1.01 (95% CI 0.69 to 1.46), and 1.71 (95% CI 0.69 to 4.24) for all-cause mortality, CVD mortality, CVD composite and HF, respectively. The equivalent HRs for highest versus lowest quartile of SD of FPG were 1.66 (95% CI 0.96 to 2.85), 2.20 (95% CI 0.67 to 7.25), 0.94 (95% CI 0.65 to 1.35), and 2.05 (95% CI 0.80 to 5.31), respectively. CONCLUSIONS A greater variability in HbA1C was associated with elevated risk of mortality. Our findings underscore the need to achieve normal and consistent glycemic control to improve clinical outcomes among individuals with type 2 diabetes.
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Affiliation(s)
- Arnaud D Kaze
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Prasanna Santhanam
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sebhat Erqou
- Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Rexford S Ahima
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Justin Basile Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Erqou S, Rodriguez‐Barradas MC. Secondary Prevention of Myocardial Infarction in People Living With HIV Infection. J Am Heart Assoc 2020; 9:e018140. [PMID: 32844727 PMCID: PMC7660762 DOI: 10.1161/jaha.120.018140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Sebhat Erqou
- Division of Cardiology VA Providence Medical Center and Lifespan Cardiovascular Institute Providence RI
- Department of Medicine Alpert Medical School of Brown University Providence RI
| | - Maria C. Rodriguez‐Barradas
- Infectious Disease Section Michael E. DeBakey VA Medical Center Houston TX
- Department of Medicine Baylor College of Medicine Houston TX
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Zullo AR, Riester MR, Erqou S, Wu WC, Rudolph JL, Steinman MA. Comparative Effectiveness of Angiotensin II Receptor Blockers and Angiotensin-Converting Enzyme Inhibitors in Older Nursing Home Residents After Myocardial Infarction: A Retrospective Cohort Study. Drugs Aging 2020; 37:755-766. [PMID: 32808250 PMCID: PMC7530043 DOI: 10.1007/s40266-020-00791-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Evidence regarding differences in outcomes between angiotensin II receptor blockers (ARBs) and angiotensin-converting enzyme inhibitors (ACEIs) among older nursing home (NH) residents after acute myocardial infarction (AMI) is limited. OBJECTIVES The purpose of our study was to estimate the post-AMI effects of ARBs versus ACEIs on mortality, rehospitalization, and functional decline outcomes in this important population. METHODS This retrospective cohort study used national Medicare claims linked to Minimum Data Set assessments. The study population included individuals aged ≥ 65 years who resided in a US NH ≥ 30 days, were hospitalized for AMI between May 2007 and March 2010, and returned to the NH. We compared 90-day mortality, rehospitalization, and functional decline outcomes between ARB and ACEI users with inverse-probability-of-treatment-weighted binomial and multinomial logistic regression models. RESULTS Of the 2765 NH residents, 270 (9.8%) used ARBs and 2495 (90.2%) used ACEIs. The mean age of ARB versus ACEI users was 82.3 versus 82.7 years, respectively. No marked differences existed between ARB and ACEI users for mortality [odds ratio (OR) 1.18; 95% confidence interval (CI) 0.78-1.79], rehospitalization (OR 1.22; 95% CI 0.90-1.65), or functional decline (OR 1.23; 95% CI 0.88-1.74). In subgroup analyses, ARBs were associated with increased mortality and rehospitalization in individuals with moderate to severe cognitive impairment and with increased rehospitalization in those aged < 85 years. CONCLUSIONS Our findings align with prior data and suggest that clinicians can prescribe either ARBs or ACEIs post-AMI for secondary prevention in NH residents, although the subgroup findings merit further scrutiny and replication. Providers should consider factors such as patient preferences, class-specific adverse events, and costs when prescribing.
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Affiliation(s)
- Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA. .,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA. .,Department of Pharmacy, Rhode Island Hospital, Providence, RI, USA.
| | | | - Sebhat Erqou
- Division of Cardiology, Department of Medicine, Brown University Warren Alpert Medical School, Providence, RI, USA
| | - Wen-Chih Wu
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA.,Division of Cardiology, Department of Medicine, Brown University Warren Alpert Medical School, Providence, RI, USA
| | - James L Rudolph
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Box G-S121-8, Providence, RI, 02912, USA.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI, USA.,Department of Medicine, Brown University Warren Alpert Medical School, Providence, RI, USA
| | - Michael A Steinman
- Division of Geriatrics, University of California, San Francisco and San Francisco VA Medical Center, San Francisco, CA, USA
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Erqou S, Jiang L, Choudhary G, Lally M, Bloomfield GS, Zullo AR, Shireman TI, Freiberg M, Justice AC, Rudolph J, Lin N, Wu WC. Heart Failure Outcomes and Associated Factors Among Veterans With Human Immunodeficiency Virus Infection. JACC Heart Fail 2020; 8:501-511. [PMID: 32278680 DOI: 10.1016/j.jchf.2019.12.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/29/2019] [Accepted: 12/30/2019] [Indexed: 01/06/2023]
Abstract
OBJECTIVES This study sought to investigate outcomes of heart failure (HF) in veterans living with human immunodeficiency virus (HIV). BACKGROUND Data on outcomes of HF among people living with human immunodeficiency virus (PLHIV) are limited. METHODS We performed a retrospective cohort study of Veterans Health Affairs data to investigate outcomes of HF in PLHIV. We identified 5,747 HIV+ veterans with diagnosis of HF from 2000 to 2018 and 33,497 HIV- frequency-matched controls were included. Clinical outcomes included all-cause mortality, HF hospital admission, and all-cause hospital admission. RESULTS Compared with HIV- veterans with HF, HIV+ veterans with HF were more likely to be black (56% vs. 14%), be smokers (52% vs. 29%), use alcohol (32% vs. 13%) or drugs (37% vs. 8%), and have a higher comorbidity burden (Elixhauser comorbidity index 5.1 vs. 2.6). The mean ejection fraction (EF) (45 ± 16%) was comparable between HIV+ and HIV- veterans. HIV+ veterans with HF had a higher age-, sex-, and race-adjusted 1-year all-cause mortality (30.7% vs. 20.3%), HF hospital admission (21.2% vs. 18.0%), and all-cause admission (50.2% vs. 38.5%) rates. Among veterans with HIV and HF, those with low CD4 count (<200 cells/ml) and high HIV viral load (>75 copies/μl) had worse outcomes. The associations remained statistically significant after adjusting for extensive list of covariates. The incidence of all-cause mortality and HF admissions was higher among HIV+ veterans with ejection fraction <45% CONCLUSIONS: HIV+ veterans with HF had higher risk of hospitalization and mortality compared with their HIV- counterparts, with worse outcomes reported for individuals with lower CD4 count, higher viral load, and lower ejection fraction.
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Affiliation(s)
- Sebhat Erqou
- Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island.
| | - Lan Jiang
- Providence VA Medical Center, Providence, Rhode Island
| | - Gaurav Choudhary
- Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Michelle Lally
- Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Gerald S Bloomfield
- Duke Clinical Research Institute, Duke Global Health Institute and Department of Medicine, Duke University, Durham, North Carolina
| | - Andrew R Zullo
- Providence VA Medical Center, Providence, Rhode Island; Center for Gerontology & Health Care Research and Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Theresa I Shireman
- Center for Gerontology & Health Care Research and Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Mathew Freiberg
- Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Amy C Justice
- Department of Medicine, Yale University, New Haven, Connecticut; VA Connecticut Healthcare System, West Haven, Connecticut
| | - James Rudolph
- Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island; Center for Gerontology & Health Care Research and Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island
| | - Nina Lin
- Department of Medicine, Boston University, Boston, Massachusetts
| | - Wen-Chih Wu
- Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island
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Erqou S, Lodebo BT, Masri A, Altibi AM, Echouffo-Tcheugui JB, Dzudie A, Ataklte F, Choudhary G, Bloomfield GS, Wu WC, Kengne AP. Cardiac Dysfunction Among People Living With HIV: A Systematic Review and Meta-Analysis. JACC Heart Fail 2020; 7:98-108. [PMID: 30704613 DOI: 10.1016/j.jchf.2018.10.006] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 09/26/2018] [Accepted: 10/04/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE To synthesize existing epidemiological data on cardiac dysfunction in HIV. BACKGROUND Data on the burden and risk of human immunodeficiency virus (HIV) infection-associated cardiac dysfunction have not been adequately synthesized. We performed meta-analyses of extant literature on the frequency of several subtypes of cardiac dysfunction among people living with HIV. METHODS We searched electronic databases and reference lists of review articles and combined the study-specific estimates using random-effects model meta-analyses. Heterogeneity was explored using subgroup analyses and meta-regressions. RESULTS We included 63 reports from 54 studies comprising up to 125,382 adults with HIV infection and 12,655 cases of various cardiac dysfunctions. The pooled prevalence (95% confidence interval) was 12.3% (6.4% to 19.7%; 26 studies) for left ventricular systolic dysfunction (LVSD); 12.0% (7.6% to 17.2%; 17 studies) for dilated cardiomyopathy; 29.3% (22.6% to 36.5%; 20 studies) for grades I to III diastolic dysfunction; and 11.7% (8.5% to 15.3%; 11 studies) for grades II to III diastolic dysfunction. The pooled incidence and prevalence of clinical heart failure were 0.9 per 100 person-years (0.4 to 2.1 per 100 person-years; 4 studies) and 6.5% (4.4% to 9.6%; 8 studies), respectively. The combined prevalence of pulmonary hypertension and right ventricular dysfunction were 11.5% (5.5% to 19.2%; 14 studies) and 8.0% (5.2% to 11.2%; 10 studies), respectively. Significant heterogeneity was observed across studies for all the outcomes analyzed (I2 > 70%, p < 0.01), only partly explained by available study level characteristics. There was a trend for lower prevalence of LVSD in studies reporting higher antiretroviral therapy use or lower proportion of acquired immune deficiency syndrome. The prevalence of LVSD was higher in the African region. After taking into account the effect of regional variation, there was evidence of lower prevalence of LVSD in studies published more recently. CONCLUSIONS Cardiac dysfunction is frequent in people living with HIV. Additional prospective studies are needed to better understand the burden and risk of various forms of cardiac dysfunction related to HIV and the associated mechanisms. (Cardiac dysfunction in people living with HIV-a systematic review and meta-analysis; CRD42018095374).
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Affiliation(s)
- Sebhat Erqou
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island.
| | | | - Ahmad Masri
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. https://twitter.com/MasriAhmadMD
| | - Ahmed M Altibi
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Anastase Dzudie
- Faculty of Medicine and Biomedical Sciences, University of Yaounde, Yaounde, Cameroon
| | - Feven Ataklte
- Department of Medicine, Boston University, Boston, Massachusetts
| | - Gaurav Choudhary
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island. https://twitter.com/GChoudharyMD
| | - Gerald S Bloomfield
- Duke Clinical Research Institute, Duke Global Health Institute and Department of Medicine, Duke University, Durham, North Carolina
| | - Wen-Chih Wu
- Department of Medicine, Providence VA Medical Center, Providence, Rhode Island; Department of Medicine, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Andre Pascal Kengne
- South African Medical Research Council and University of Cape Town, South Africa
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Canterbury A, Echouffo-Tcheugui JB, Shpilsky D, Aiyer A, Reis SE, Erqou S. Association between cumulative social risk, particulate matter environmental pollutant exposure, and cardiovascular disease risk. BMC Cardiovasc Disord 2020; 20:76. [PMID: 32046641 PMCID: PMC7014734 DOI: 10.1186/s12872-020-01329-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 01/06/2020] [Indexed: 11/16/2022] Open
Abstract
Background Long-term exposure to pollution has been shown to increase risk of cardiovascular disease (CVD) and mortality, and may contribute to the increased risk of CVD among individuals with higher social risk. Methods Data from the community-based Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) study were used to quantify Cumulative Social Risk (CSR) by assigning a score of 1 for the presence of each of 4 social risk factors: racial minority, single living, low income, and low educational status. 1-year average air pollution exposure to PM2.5 was estimated using land-use regression models. Associations with clinical outcomes were assessed using Cox models, adjusting for traditional CVD risk factors. The primary clinical outcome was combined all-cause mortality and nonfatal CVD events. Results Data were available on 1933 participants (mean age 59 years, 66% female, 44% Black). In a median follow up time of 8.3 years, 137 primary clinical outcome events occurred. PM2.5 exposure increased with higher CSR score. PM2.5 was independently associated with clinical outcome (adjusted hazard ratio [HR]: 1.19 [95% CI: 1.00, 1.41]). Participants with ≥2 CSR factors had an adjusted HR of 2.34 (1.48–3.68) compared to those with CSR = 0. The association was attenuated after accounting for PM2.5 (HR: 2.16; [1.34, 3.49]). Mediation analyses indicate that PM2.5 explained 13% of the risk of clinical outcome in individuals with CSR score ≥ 2. Conclusion In a community-based cohort study, we found that the association of increasing CSR with higher CVD and mortality risks is partially accounted for by exposure to PM2.5 environmental pollutants.
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Affiliation(s)
- Ann Canterbury
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Daniel Shpilsky
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Aryan Aiyer
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Steven E Reis
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sebhat Erqou
- Department of Medicine, VA Providence Medical Center, Providence, RI, USA. .,Department of Medicine, Alpert Medical School of Brown University, 830 Chalkstone Avenue, Providence, RI, USA.
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Erqou S, Soares C, Wu WC. Stress Testing and Risk Prediction in People With Known Symptomatic Multivessel Coronary Artery Disease. JAMA Intern Med 2020; 180:165-166. [PMID: 31904787 DOI: 10.1001/jamainternmed.2019.5854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Sebhat Erqou
- Division of Cardiology, Providence Veterans Affairs Medical Center, Providence, Rhode Island.,Lifespan Cardiovascular Institute, Providence, Rhode Island.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Cullen Soares
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Wen-Chih Wu
- Division of Cardiology, Providence Veterans Affairs Medical Center, Providence, Rhode Island.,Lifespan Cardiovascular Institute, Providence, Rhode Island.,Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
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Ahmad K, Chen EW, Nazir U, Cotts W, Andrade A, Trivedi AN, Erqou S, Wu W. Regional Variation in the Association of Poverty and Heart Failure Mortality in the 3135 Counties of the United States. J Am Heart Assoc 2019; 8:e012422. [PMID: 31480884 PMCID: PMC6818020 DOI: 10.1161/jaha.119.012422] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 07/05/2019] [Indexed: 12/30/2022]
Abstract
Background There is significant geographical variation in heart failure (HF) mortality across the United States. County socioeconomic factors that influence these outcomes are unknown. We studied the association between county socioeconomic factors and HF mortality and compared it with coronary heart disease (CHD) mortality. Methods and Results This is a cross-sectional analysis of socioeconomic factors and mortality in HF and CHD across 3135 US counties from 2010 to 2015. County-level poverty, education, income, unemployment, health insurance status, and cause-specific mortality rates were collected from the Centers for Disease Control and Prevention and US Census Bureau databases. Poverty had the strongest correlation with both HF and CHD mortality, disproportionately higher for HF (r=0.48) than CHD (r=0.24). HF mortality increased by 5.2 deaths/100 000 for each percentage increase in county poverty prevalence in a frequency-weighted, demographic-adjusted, multivariate regression model. The greatest attenuation in the poverty regression coefficient (66.4%) was seen after adjustment for prevalence of diabetes mellitus and obesity. Subgroup analysis by census region showed that this relationship was the strongest in the South and weakest in the Northeast (6.1 versus 1.4 deaths/100 000 per 1% increase in county poverty in a demographics-adjusted model). Conclusions County poverty is the strongest socioeconomic factor associated with HF and CHD mortality, an association that is stronger with HF than with CHD and varied by census region. Over half of the association was explained by differences in the prevalence of diabetes mellitus and obesity across the counties. Health policies targeting improvement in these risk factors may address and possibly minimize health disparities caused by socioeconomic factors.
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Affiliation(s)
- Khansa Ahmad
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - Edward W. Chen
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - Umair Nazir
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - William Cotts
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - Ambar Andrade
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - Amal N. Trivedi
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - Sebhat Erqou
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
| | - Wen‐Chih Wu
- Division of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown UniversityProvidenceRI
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Imran HM, Baig M, Erqou S, Taveira TH, Shah NR, Morrison A, Choudhary G, Wu WC. Home-Based Cardiac Rehabilitation Alone and Hybrid With Center-Based Cardiac Rehabilitation in Heart Failure: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2019; 8:e012779. [PMID: 31423874 PMCID: PMC6759908 DOI: 10.1161/jaha.119.012779] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Center‐based cardiac rehabilitation (CBCR) has been shown to improve outcomes in patients with heart failure (HF). Home‐based cardiac rehabilitation (HBCR) can be an alternative to increase access for patients who cannot participate in CBCR. Hybrid cardiac rehabilitation (CR) combines short‐term CBCR with HBCR, potentially allowing both flexibility and rigor. However, recent data comparing these initiatives have not been synthesized. Methods and Results We performed a meta‐analysis to compare functional capacity and health‐related quality of life (hr‐QOL) outcomes in HF for (1) HBCR and usual care, (2) hybrid CR and usual care, and (3) HBCR and CBCR. A systematic search in 5 standard databases for randomized controlled trials was performed through January 31, 2019. Summary estimates were pooled using fixed‐ or random‐effects (when I2>50%) meta‐analyses. Standardized mean differences (95% CI) were used for distinct hr‐QOL tools. We identified 31 randomized controlled trials with a total of 1791 HF participants. Among 18 studies that compared HBCR and usual care, participants in HBCR had improvement of peak oxygen uptake (2.39 mL/kg per minute; 95% CI, 0.28–4.49) and hr‐QOL (16 studies; standardized mean difference: 0.38; 95% CI, 0.19–0.57). Nine RCTs that compared hybrid CR with usual care showed that hybrid CR had greater improvements in peak oxygen uptake (9.72 mL/kg per minute; 95% CI, 5.12–14.33) but not in hr‐QOL (2 studies; standardized mean difference: 0.67; 95% CI, −0.20 to 1.54). Five studies comparing HBCR with CBCR showed similar improvements in functional capacity (0.0 mL/kg per minute; 95% CI, −1.93 to 1.92) and hr‐QOL (4 studies; standardized mean difference: 0.11; 95% CI, −0.12 to 0.34). Conclusions HBCR and hybrid CR significantly improved functional capacity, but only HBCR improved hr‐QOL over usual care. However, both are potential alternatives for patients who are not suitable for CBCR.
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Affiliation(s)
- Hafiz M Imran
- Providence Veterans Affairs Medical Center Providence RI.,Center for Cardiac Fitness The Miriam Hospital Providence RI.,Alpert Medical School Brown University Providence RI
| | | | - Sebhat Erqou
- Providence Veterans Affairs Medical Center Providence RI.,Alpert Medical School Brown University Providence RI
| | - Tracey H Taveira
- Providence Veterans Affairs Medical Center Providence RI.,University of Rhode Island College of Pharmacy Kingston RI
| | - Nishant R Shah
- Providence Veterans Affairs Medical Center Providence RI.,Alpert Medical School Brown University Providence RI
| | - Alan Morrison
- Providence Veterans Affairs Medical Center Providence RI.,Alpert Medical School Brown University Providence RI
| | - Gaurav Choudhary
- Providence Veterans Affairs Medical Center Providence RI.,Alpert Medical School Brown University Providence RI
| | - Wen-Chih Wu
- Providence Veterans Affairs Medical Center Providence RI.,Center for Cardiac Fitness The Miriam Hospital Providence RI.,Alpert Medical School Brown University Providence RI
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Emechebe N, Nguyen AT, Duong L, Kip K, Masri A, Erqou S, Reis S. METABOLOMIC INVESTIGATION OF LONG-TERM RISK OF MAJOR ADVERSE CARDIOVASCULAR EVENTS IN A COMMUNITY-BASED COHORT (HEART SCORE) STUDY. J Am Coll Cardiol 2019. [DOI: 10.1016/s0735-1097(19)32441-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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48
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Adekanmbi VT, Uthman OA, Erqou S, Echouffo‐Tcheugui JB, Harhay MN, Harhay MO. Epidemiology of prediabetes and diabetes in Namibia, Africa: A multilevel analysis. J Diabetes 2019; 11:161-172. [PMID: 30058263 PMCID: PMC6318039 DOI: 10.1111/1753-0407.12829] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 07/20/2018] [Accepted: 07/25/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Diabetes is a leading cause of progressive morbidity and early mortality worldwide. Little is known about the burden of diabetes and prediabetes in Namibia, a Sub-Saharan African (SSA) country that is undergoing a demographic transition. METHODS We estimated the prevalence and correlates of diabetes (defined as fasting [capillary] blood glucose [FBG] ≥126 mg/dL) and prediabetes (defined by World Health Organization [WHO] and American Diabetes Association [ADA] criteria as FBG 110-125 and 100-125 mg/dL, respectively) in a random sample of 3278 participants aged 35-64 years from the 2013 Namibia Demographic and Health Survey. RESULTS The prevalence of diabetes was 5.1% (95% confidence interval [CI]: 4.2-6.2), with no evidence of gender differences (P = 0.45). The prevalence of prediabetes was 6.8% (95% CI 5.8-8.0) using WHO criteria and 20.1% (95% CI 18.4-21.9) using ADA criteria. Male sex, older age, higher body mass index (BMI), and occupation independently increased the odds of diabetes in Namibia, whereas higher BMI was associated with a higher odds of prediabetes, and residing in a household categorized as "middle wealth index" was associated with a lower odds of prediabetes (adjusted odds ratio 0.71; 95% credible interval 0.46-0.99). There was significant clustering of prediabetes and diabetes at the community level. CONCLUSIONS One in five adult Namibians has prediabetes based on ADA criteria. Resources should be invested at the community level to promote efforts to prevent the progression of this disease and its complications.
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Affiliation(s)
- Victor T. Adekanmbi
- Division of Population Medicine, School of MedicineCardiff UniversityCardiffUK
| | - Olalekan A. Uthman
- Warwick‐Centre for Applied Health Research and Delivery, Division of Health SciencesUniversity of Warwick Medical SchoolCoventryUK
- International Health Group, Liverpool School of Tropical MedicineLiverpoolUK
| | - Sebhat Erqou
- Department of MedicineBrown UniversityProvidenceRhode IslandUSA
| | - Justin B. Echouffo‐Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Hypertension, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Meera N. Harhay
- Department of Medicine, Division of Nephrology and HypertensionDrexel University College of MedicinePhiladelphiaPennsylvaniaUSA
- Department of Epidemiology and BiostatisticsDrexel University Dornsife School of Public HealthPhiladelphiaPennsylvaniaUSA
| | - Michael O. Harhay
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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Masri A, Altibi AM, Erqou S, Zmaili MA, Saleh A, Al-Adham R, Ayoub K, Baghal M, Alkukhun L, Barakat AF, Jain S, Saba S, Adelstein E. Wearable Cardioverter-Defibrillator Therapy for the Prevention of Sudden Cardiac Death: A Systematic Review and Meta-Analysis. JACC Clin Electrophysiol 2019; 5:152-161. [PMID: 30784684 DOI: 10.1016/j.jacep.2018.11.011] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 11/15/2018] [Accepted: 11/20/2018] [Indexed: 01/10/2023]
Abstract
OBJECTIVES This study sought to synthesize the available evidence on the use of the wearable cardioverter-defibrillator (WCD). BACKGROUND Observational WCD studies for the prevention of sudden cardiac death have provided conflicting data. The VEST (Vest Prevention of Early Sudden Death) trial was the first randomized controlled trial (RCT) showing no reduction in sudden cardiac death as compared to medical therapy only. METHODS We searched PubMed, EMBASE, and Google Scholar for studies reporting on the outcomes of patients wearing WCDs from January 1, 2001, through March 20, 2018. Rates of appropriate and inappropriate WCD therapies were pooled. Estimates were derived using DerSimonian and Laird's method. RESULTS Twenty-eight studies were included (N = 33,242; 27 observational, 1 RCT-WCD arm). The incidence of appropriate WCD therapy was 5 per 100 persons over 3 months (95% confidence interval [CI]: 3.0 to 6.0, I2 = 93%). In studies on ischemic cardiomyopathy, the appropriate WCD therapy incidence was lower in the VEST trial (1 per 100 persons over 3 months; 95% CI: 1.0 to 2.0) as compared with observational studies (11 per 100 persons over 3 months; 95% CI: 11.0 to 20.0; I2 = 93%). The incidence of inappropriate therapy was 2 per 100 persons over 3 months (95% CI: 1.0 to 3.0; I2 = 93%). Mortality while wearing WCD was rare at 0.7 per 100 persons over 3 months (95% CI: 0.3 to 1.7; I2 = 94%). CONCLUSIONS The rate of appropriately treated WCD patients over 3 months of follow-up was substantial; higher in-observational studies as compared with the VEST trial. There was significant heterogeneity. More RCTs are needed to justify continued use of WCD in primary prevention.
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Affiliation(s)
- Ahmad Masri
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
| | - Ahmed M Altibi
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Sebhat Erqou
- Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, Rhode Island
| | - Mohammad A Zmaili
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Ala Saleh
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Raed Al-Adham
- Department of Medicine, University of Arizona, Phoenix, Arizona
| | - Karam Ayoub
- Division of Cardiology, Department of Medicine, University of Kentucky, Lexington, Kentucky
| | - Moaaz Baghal
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Laith Alkukhun
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Amr F Barakat
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Sandeep Jain
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Samir Saba
- Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Evan Adelstein
- Division of Cardiology, Albany Medical College, Albany, New York
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Mathew A, Erqou S. Can estrogen receptor status predict for shorter duration of adjuvant trastuzumab in early-stage breast cancer? Ann Oncol 2018; 29:2391-2392. [PMID: 30357315 DOI: 10.1093/annonc/mdy478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- A Mathew
- Division of Medical Oncology, University of Kentucky Markey Cancer Center, Lexington, USA; Kerala Cancer Care, Kochi, Kerala, India.
| | - S Erqou
- Department of Cardiology, Brown University, Rhode Island, USA
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