1
|
Donahue JK, Chrispin J, Ajijola OA. Mechanism of Ventricular Tachycardia Occurring in Chronic Myocardial Infarction Scar. Circ Res 2024; 134:328-342. [PMID: 38300981 PMCID: PMC10836816 DOI: 10.1161/circresaha.123.321553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Cardiac arrest is the leading cause of death in the more economically developed countries. Ventricular tachycardia associated with myocardial infarct is a prominent cause of cardiac arrest. Ventricular arrhythmias occur in 3 phases of infarction: during the ischemic event, during the healing phase, and after the scar matures. Mechanisms of arrhythmias in these phases are distinct. This review focuses on arrhythmia mechanisms for ventricular tachycardia in mature myocardial scar. Available data have shown that postinfarct ventricular tachycardia is a reentrant arrhythmia occurring in circuits found in the surviving myocardial strands that traverse the scar. Electrical conduction follows a zigzag course through that area. Conduction velocity is impaired by decreased gap junction density and impaired myocyte excitability. Enhanced sympathetic tone decreases action potential duration and increases sarcoplasmic reticular calcium leak and triggered activity. These elements of the ventricular tachycardia mechanism are found diffusely throughout scar. A distinct myocyte repolarization pattern is unique to the ventricular tachycardia circuit, setting up conditions for classical reentry. Our understanding of ventricular tachycardia mechanisms continues to evolve as new data become available. The ultimate use of this information would be the development of novel diagnostics and therapeutics to reliably identify at-risk patients and prevent their ventricular arrhythmias.
Collapse
Affiliation(s)
| | - Jonathan Chrispin
- The Johns Hopkins University School of Medicine, Baltimore, MD (J.C.)
| | - Olujimi A Ajijola
- UCLA Cardiac Arrhythmia Center, David Geffen School of Medicine at UCLA, Los Angeles, CA (O.A.A.)
| |
Collapse
|
2
|
Thomas KL, Al-Khatib SM, Kosinski AS, Sears SF, Allen LaPointe NM, Jackson LR, Matlock DD, Haithcock D, Colley BJ, Hirsh DS, Peterson ED. Facilitating Shared Decision Making Among Black Patients at Risk for Sudden Cardiac Arrest : A Randomized Clinical Trial. Ann Intern Med 2023; 176:615-623. [PMID: 37011387 PMCID: PMC10354526 DOI: 10.7326/m22-2934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Racial disparities in implantable cardioverter-defibrillator (ICD) implantation are multifactorial and are partly explained by higher refusal rates. OBJECTIVE To assess the effectiveness of a video decision support tool for Black patients eligible for an ICD. DESIGN Multicenter, randomized clinical trial conducted between September 2016 and April 2020. (ClinicalTrials.gov: NCT02819973). SETTING Fourteen academic and community-based electrophysiology clinics in the United States. PARTICIPANTS Black adults with heart failure who were eligible for a primary prevention ICD. INTERVENTION An encounter-based video decision support tool or usual care. MEASUREMENTS The primary outcome was the decision regarding ICD implantation. Additional outcomes included patient knowledge, decisional conflict, ICD implantation within 90 days, the effect of racial concordance on outcomes, and the time patients spent with clinicians. RESULTS Of the 330 randomly assigned patients, 311 contributed data for the primary outcome. Among those randomly assigned to the video group, assent to ICD implantation was 58.6% compared with 59.4% in the usual care group (difference, -0.8 percentage point [95% CI, -13.2 to 11.1 percentage points]). Compared with usual care, participants in the video group had a higher mean knowledge score (difference, 0.7 [CI, 0.2 to 1.1]) and a similar decisional conflict score (difference, -2.6 [CI, -5.7 to 0.4]). The ICD implantation rate within 90 days was 65.7%, with no differences by intervention. Participants randomly assigned to the video group spent less time with their clinician than those in the usual care group (mean, 22.1 vs. 27.0 minutes; difference, -4.9 minutes [CI, -9.4 to -0.3 minutes]). Racial concordance between video and study participants did not affect study outcomes. LIMITATION The Centers for Medicare & Medicaid Services implemented a requirement for shared decision making for ICD implantation during the study. CONCLUSION A video-based decision support tool increased patient knowledge but did not increase assent to ICD implantation. PRIMARY FUNDING SOURCE Patient-Centered Outcomes Research Institute.
Collapse
Affiliation(s)
- Kevin L Thomas
- Department of Medicine and Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina (K.L.T., S.M.A.)
| | - Sana M Al-Khatib
- Department of Medicine and Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina (K.L.T., S.M.A.)
| | | | - Samuel F Sears
- Department of Psychology, East Carolina University, Greenville, North Carolina (S.F.S.)
| | - Nancy M Allen LaPointe
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina (N.M.A.L.)
| | - Larry R Jackson
- Department of Medicine, Duke University School of Medicine, Duke Clinical Research Institute, Durham, North Carolina (L.R.J.)
| | - Daniel D Matlock
- Division of Geriatric Medicine, University of Colorado School of Medicine, Aurora, Colorado (D.D.M.)
| | | | | | - David S Hirsh
- Department of Medicine, Emory University, Atlanta, Georgia (D.S.H.)
| | - Eric D Peterson
- Department of Medicine, University of Texas Southwestern, Dallas, Texas (E.D.P.)
| |
Collapse
|
3
|
Wang S, He M, Andersen J, Lin Y, Zhang M, Liu Z, Li L. Sudden unexplained death in schizophrenia patients: An autopsy-based comparative study from China. Asian J Psychiatr 2023; 79:103314. [PMID: 36399950 DOI: 10.1016/j.ajp.2022.103314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/06/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022]
Abstract
Explainable sudden deaths in schizophrenia patients due to both cardiac (SCD) and non-cardiac causes (SNCD) have been extensively documented. However, sudden unexplained death (SUD) in this cohort remains to be elucidated. This study retrospectively analyzed 18 SUD cases that underwent systematic autopsy at our institutes during the period 2010-2022. The etiological, demographic, and autopsy features of the SUD cases were then compared with 37 year-matched sudden explainable deaths (23 SCD cases and 14 SNCD cases). Our results showed that the average age of the SUD was 39.0 ( ± 8.4) years, with the disease duration of 11.8 ( ± 8.1) years and a male/female ratio of 11:7. Most cases occurred during daytime (72.2%) and outside of hospital (77.8%). A large proportion of the SUD cases (77.8%) had persistent psychiatric episodes before death. Clozapine was found to be the most commonly used antipsychotic (33.3%), followed by Olanzapine (27.8%), Risperidone (27.8%) and Chlorpromazine (27.8%) in the SUD cases. When compared among groups, the SUD cases showed significantly younger ages (p = 0.035), lower heart weight (p = 0.004) and lower proportion of Clozapine use (p = 0.045). The presence of persistent psychiatric episodes was significantly higher in the SUD group than in any explainable deaths (p = 0.018) and was an independent risk factor for SUD (OR = 4.205, p = 0.040). This is the first autopsy-based study of SUD cases from China. We conclude that a stable mental state maintained by antipsychotics (i.e., Clozapine) is vital to schizophrenia patients.
Collapse
Affiliation(s)
- Shouyu Wang
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
| | - Meng He
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
| | - John Andersen
- Department of Gynecologic Pathology, Johns Hopkins Hospital, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA.
| | - Yezhe Lin
- Department of Psychiatry and Behavioral Science, Virginia Tech Carilion School of Medicine, Roanoke, VA 24016, USA; Clinical Research Center for Mental Disorders, Chinese-German Institute of Mental Health, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai 200124, China.
| | - Molin Zhang
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
| | - Zheng Liu
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
| | - Liliang Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
| |
Collapse
|
4
|
Kiernan K, Dodge SE, Kwaku KF, Jackson LR, Zeitler EP. Racial and ethnic differences in implantable cardioverter-defibrillator patient selection, management, and outcomes. Heart Rhythm O2 2022; 3:807-816. [PMID: 36589011 PMCID: PMC9795300 DOI: 10.1016/j.hroo.2022.09.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Racial and ethnic differences in treatment-cardiovascular and otherwise-have been documented in many aspects of the American health care system and can be seen in implantable cardioverter-defibrillator (ICD) patient selection, counseling, and management. ICDs have been demonstrated to be a powerful tool in the prevention of sudden cardiac death, yet uptake across all eligible patients has been modest. Although patients who do not identify as White are disproportionately eligible for ICDs in the United States, they are less likely to see specialists, be counseled on ICDs, and ultimately have an ICD implanted. This review explores racial and ethnic differences demonstrated in ICD patient selection, outcomes including shock effectiveness, and postimplantation monitoring for both primary and secondary prevention devices. It also highlights barriers for uptake at the health system, physician, and patient levels and suggests areas of further research needed to clarify the differences, illuminate the driving forces of these differences, and investigate strategies to address them.
Collapse
Affiliation(s)
- Katherine Kiernan
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Shayne E. Dodge
- Division of Cardiology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | - Kevin F. Kwaku
- Division of Cardiology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | - Larry R. Jackson
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Emily P. Zeitler
- Division of Cardiology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
- The Dartmouth Institute, Lebanon, New Hampshire
| |
Collapse
|
5
|
Ha ACT, Doumouras BS, Wang CN, Tranmer J, Lee DS. Prediction of sudden cardiac arrest in the general population: Review of traditional and emerging risk factors. Can J Cardiol 2022; 38:465-478. [PMID: 35041932 DOI: 10.1016/j.cjca.2022.01.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/08/2022] [Accepted: 01/09/2022] [Indexed: 12/28/2022] Open
Abstract
Sudden cardiac death (SCD) is the most common and devastating outcome of sudden cardiac arrest (SCA), defined as an abrupt and unexpected cessation of cardiovascular function leading to circulatory collapse. The incidence of SCD is relatively infrequent for individuals in the general population, in the range of 0.03-0.10% per year. Yet, the absolute number of cases around the world is high due to the sheer size of the population at risk, making SCA/SCD a major global health issue. Based on conservative estimates, there are at least 2 million cases of SCA occurring worldwide on a yearly basis. As such, identification of risk factors associated with SCA in the general population is an important objective from a clinical and public health standpoint. This review will provide an in-depth discussion of established and emerging factors predictive of SCA/SCD in the general population beyond coronary artery disease and impaired left ventricular ejection fraction. Contemporary studies evaluating the association between age, sex, race, socioeconomic status and the emerging contribution of diabetes and obesity to SCD risk beyond their role as atherosclerotic risk factors will be reviewed. In addition, the role of biomarkers, particularly electrocardiographic ones, on SCA/SCD risk prediction in the general population will be discussed. Finally, the use of machine learning as a tool to facilitate SCA/SCD risk prediction will be examined.
Collapse
Affiliation(s)
- Andrew C T Ha
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
| | - Barbara S Doumouras
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Chang Nancy Wang
- Department of Medicine, Queen's University, Kingston, Ontario, Canada; ICES Central, Toronto, Ontario, Canada
| | - Joan Tranmer
- School of Nursing, Queen's University, Kingston, Ontario, Canada; ICES Queens, Queen's University, Kingston, Ontario, Canada
| | - Douglas S Lee
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; ICES Central, Toronto, Ontario, Canada; Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada.
| |
Collapse
|
6
|
Buja LM, Zhao B, Segura A, Lelenwa L, McDonald M, Michaud K. Cardiovascular pathology: guide to practice and training. Cardiovasc Pathol 2022. [DOI: 10.1016/b978-0-12-822224-9.00001-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
|
7
|
Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients. Cardiol Res Pract 2021; 2021:3180987. [PMID: 34868674 PMCID: PMC8635948 DOI: 10.1155/2021/3180987] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/13/2021] [Accepted: 10/29/2021] [Indexed: 12/30/2022] Open
Abstract
Introduction Social disparities in out-of-hospital cardiac arrest (OHCA) outcomes are preventable, costly, and unjust. We sought to perform the first large artificial intelligence- (AI-) guided statistical and geographic information system (GIS) analysis of a multiyear and multisite cohort for OHCA outcomes (incidence and poor neurological disposition). Method We conducted a retrospective cohort analysis of a prospectively collected multicenter dataset of adult patients who sequentially presented to Houston metro area hospitals from 01/01/07-01/01/16. Then AI-based machine learning (backward propagation neural network) augmented multivariable regression and GIS heat mapping were performed. Results Of 3,952 OHCA patients across 38 hospitals, African Americans were the most likely to suffer OHCA despite representing a significantly lower percentage of the population (42.6 versus 22.8%; p < 0.001). Compared to Caucasians, they were significantly more likely to have poor neurological disposition (OR 2.21, 95%CI 1.25–3.92; p=0.006) and be discharged to a facility instead of home (OR 1.39, 95%CI 1.05–1.85; p=0.023). Compared to the safety net hospital system primarily serving poorer African Americans, the university hospital serving primarily higher income commercially and Medicare insured patients had the lowest odds of death (OR 0.45, p < 0.001). Each additional $10,000 above median household income was associated with a decrease in the total number of cardiac arrests per zip code by 2.86 (95%CI -4.26- -1.46; p < 0.001); zip codes with a median income above $54,600 versus the federal poverty level had 14.62 fewer arrests (p < 0.001). GIS maps showed convergence of the greater density of poor neurologic outcome cases and greater density of poorer African American residences. Conclusion This large, longitudinal AI-guided analysis statistically and geographically identifies racial and socioeconomic disparities in OHCA outcomes in a way that may allow targeted medical and public health coordinated efforts to improve clinical, cost, and social equity outcomes.
Collapse
|
8
|
Reinier K, Sargsyan A, Chugh HS, Nakamura K, Uy-Evanado A, Klebe D, Kaplan R, Hadduck K, Shepherd D, Young C, Salvucci A, Chugh SS. Evaluation of Sudden Cardiac Arrest by Race/Ethnicity Among Residents of Ventura County, California, 2015-2020. JAMA Netw Open 2021; 4:e2118537. [PMID: 34323985 PMCID: PMC8322999 DOI: 10.1001/jamanetworkopen.2021.18537] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
IMPORTANCE Sudden cardiac arrest (SCA) is a major public health problem. Owing to a lack of population-based studies in multiracial/multiethnic communities, little information is available regarding race/ethnicity-specific epidemiologic factors of SCA. OBJECTIVE To evaluate the association of race/ethnicity with burden, outcomes, and clinical profile of individuals experiencing SCA. DESIGN, SETTING, AND PARTICIPANTS A 5-year prospective, population-based cohort study of out-of-hospital SCA was conducted from February 1, 2015, to January 31, 2020, among residents of Ventura County, California (2018 population, 848 112: non-Hispanic White [White], 45.8%; Hispanic/Latino [Hispanic], 42.4%; Asian, 7.3%; and Black, 1.7% individuals). All individuals with out-of-hospital SCA of likely cardiac cause and resuscitation attempted by emergency medical services were included. EXPOSURES Data on circumstances and outcomes of SCA from prehospital emergency medical services records and data on demographics and pre-SCA clinical history from detailed archived medical records, death certificates, and autopsies. MAIN OUTCOMES AND MEASURES Annual age-adjusted SCA incidence by race and ethnicity and SCA circumstances and outcomes by ethnicity. Clinical profile (cardiovascular risk factors, comorbidity burden, and cardiac history) by ethnicity, overall, and stratified by sex. RESULTS A total of 1624 patients with SCA were identified (1059 [65.2%] men; mean [SD] age, 70.9 [16.1] years). Race/ethnicity data were available for 1542 (95.0%) individuals, of whom 1022 (66.3%) were White, 381 (24.7%) were Hispanic, 86 (5.6%) were Asian, 31 (2.0%) were Black, and 22 (1.4%) were other race/ethnicity. Annual age-adjusted SCA rates per 100 000 residents of Ventura County were similar in White (37.5; 95% CI, 35.2-39.9), Hispanic (37.6; 95% CI, 33.7-41.5; P = .97 vs White), and Black (48.0; 95% CI, 30.8-65.2; P = .18 vs White) individuals, and lower in the Asian population (25.5; 95% CI, 20.1-30.9; P = .006 vs White). Survival to hospital discharge following SCA was similar in the Asian (11.8%), Hispanic (13.9%), and non-Hispanic White (13.0%) (P = .69) populations. Compared with White individuals, Hispanic and Asian individuals were more likely to have hypertension (White, 614 [76.3%]; Hispanic, 239 [79.1%]; Asian, 57 [89.1%]), diabetes (White, 287 [35.7%]; Hispanic, 178 [58.9%]; Asian, 37 [57.8%]), and chronic kidney disease (White, 231 [29.0%]; Hispanic, 123 [40.7%]; Asian, 33 [51.6%]) before SCA. Hispanic individuals were also more likely than White individuals to have hyperlipidemia (White, 380 [47.2%]; Hispanic, 165 [54.6%]) and history of stroke (White, 107 [13.3%]; Hispanic, 55 [18.2%]), but less likely to have a history of atrial fibrillation (White, 251 [31.2%]; Hispanic, 59 [19.5%]). CONCLUSIONS AND RELEVANCE The results of this study suggest that the burden of SCA was similar in Hispanic and White individuals and lower in Asian individuals. The Asian and Hispanic populations had shared SCA risk factors, which were different from those of the White population. These findings underscore the need for an improved understanding of race/ethnicity-specific differences in SCA risk.
Collapse
Affiliation(s)
- Kyndaron Reinier
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Arayik Sargsyan
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Harpriya S. Chugh
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Kotoka Nakamura
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Audrey Uy-Evanado
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Damon Klebe
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Katy Hadduck
- Ventura County Health Care Agency, Ventura, California
| | | | | | | | - Sumeet S. Chugh
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| |
Collapse
|
9
|
Tseng ZH, Moffatt E, Kim A, Vittinghoff E, Ursell P, Connolly A, Olgin JE, Wong JK, Hsue PY. Sudden Cardiac Death and Myocardial Fibrosis, Determined by Autopsy, in Persons with HIV. N Engl J Med 2021; 384:2306-2316. [PMID: 34133860 PMCID: PMC8415173 DOI: 10.1056/nejmoa1914279] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND The incidence of sudden cardiac death and sudden death caused by arrhythmia, as determined by autopsy, in persons with human immunodeficiency virus (HIV) infection has not been clearly established. METHODS Between February 1, 2011, and September 16, 2016, we prospectively identified all new deaths due to out-of-hospital cardiac arrest among persons 18 to 90 years of age, with or without known HIV infection, for comprehensive autopsy and toxicologic and histologic testing. We compared the rates of sudden cardiac death and sudden death caused by arrhythmia between groups. RESULTS Of 109 deaths from out-of-hospital cardiac arrest among 610 unexpected deaths in HIV-positive persons, 48 met World Health Organization criteria for presumed sudden cardiac death; of those, fewer than half (22) had an arrhythmic cause. A total of 505 presumed sudden cardiac deaths occurred between February 1, 2011, and March 1, 2014, in persons without known HIV infection. Observed incidence rates of presumed sudden cardiac death were 53.3 deaths per 100,000 person-years among persons with known HIV infection and 23.7 deaths per 100,000 person-years among persons without known HIV infection (incidence rate ratio, 2.25; 95% confidence interval [CI], 1.37 to 3.70). Observed incidence rates of sudden death caused by arrhythmia were 25.0 and 13.3 deaths per 100,000 person-years, respectively (incidence rate ratio, 1.87; 95% CI, 0.93 to 3.78). Among all presumed sudden cardiac deaths, death due to occult drug overdose was more common in persons with known HIV infection than in persons without known HIV infection (34% vs. 13%). Persons who were HIV-positive had higher histologic levels of interstitial myocardial fibrosis than persons without known HIV infection. CONCLUSIONS In this postmortem study, the rates of presumed sudden cardiac death and myocardial fibrosis were higher among HIV-positive persons than among those without known HIV infection. One third of apparent sudden cardiac deaths in HIV-positive persons were due to occult drug overdose. (Supported by the National Heart, Lung, and Blood Institute.).
Collapse
Affiliation(s)
- Zian H Tseng
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Ellen Moffatt
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Anthony Kim
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Eric Vittinghoff
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Phil Ursell
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Andrew Connolly
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Jeffrey E Olgin
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Joseph K Wong
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| | - Priscilla Y Hsue
- From the Section of Cardiac Electrophysiology, Cardiology Division, Department of Medicine (Z.H.T., J.E.O.), the Departments of Neurology (A.K.), Epidemiology and Biostatistics (E.V.), and Pathology (P.U., A.C.), the Division of Infectious Disease, Veterans Affairs Medical Center (J.K.W.), and the Division of Cardiology, Zuckerberg San Francisco General Hospital (P.Y.H.), University of California, San Francisco, and the Office of the Chief Medical Examiner, City and County of San Francisco (E.M.) - all in San Francisco
| |
Collapse
|
10
|
Chrispin J, Frazier-Mills C, Sogade F, Wan EY, Clair WK. Pandemic Highlights Disparities in Health Care. Circ Arrhythm Electrophysiol 2021; 14:e009908. [PMID: 33993701 DOI: 10.1161/circep.121.009908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Jonathan Chrispin
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (J.C.)
| | - Camille Frazier-Mills
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC (C.F.-M.)
| | - Felix Sogade
- Georgia Arrhythmia Consultants and Research Institute, Macon, GA (F.S.)
| | - Elaine Y Wan
- Division of Cardiology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY (E.Y.W.)
| | - Walter K Clair
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN (W.K.C.)
| |
Collapse
|
11
|
Tseng ZH, Ramakrishna S, Salazar JW, Vittinghoff E, Olgin JE, Moffatt E. Sex and Racial Differences in Autopsy-Defined Causes of Presumed Sudden Cardiac Death. Circ Arrhythm Electrophysiol 2021; 14:e009393. [PMID: 33835824 DOI: 10.1161/circep.120.009393] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
- Zian H Tseng
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., S.R., J.E.O.), University of California, San Francisco
| | - Satvik Ramakrishna
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., S.R., J.E.O.), University of California, San Francisco
| | - James W Salazar
- Department of Medicine (J.W.S.), University of California, San Francisco
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics (E.V.), University of California, San Francisco
| | - Jeffrey E Olgin
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., S.R., J.E.O.), University of California, San Francisco
| | - Ellen Moffatt
- Office of the Chief Medical Examiner, San Francisco, CA (E.M.)
| |
Collapse
|
12
|
Deo R, Safford MM, Khodneva YA, Jannat-Khah DP, Brown TM, Judd SE, McClellan WM, Rhodes JD, Shlipak MG, Soliman EZ, Albert CM. Differences in Risk of Sudden Cardiac Death Between Blacks and Whites. J Am Coll Cardiol 2019; 72:2431-2439. [PMID: 30442286 DOI: 10.1016/j.jacc.2018.08.2173] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 08/13/2018] [Accepted: 08/14/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Prior studies have consistently demonstrated that blacks have an approximate 2-fold higher incidence of sudden cardiac death (SCD) than whites; however, these analyses have lacked individual-level sociodemographic, medical comorbidity, and behavioral health data. OBJECTIVES The purpose of this study was to evaluate whether racial differences in SCD incidence are attributable to differences in the prevalence of risk factors or rather to underlying susceptibility to fatal arrhythmias. METHODS The Reasons for Geographic and Racial Differences in Stroke study is a prospective, population-based cohort of adults from across the United States. Associations between race and SCD defined per National Heart, Lung, and Blood Institute criteria were assessed. RESULTS Among 22,507 participants (9,416 blacks and 13,091 whites) without a history of clinical cardiovascular disease, there were 174 SCD events (67 whites and 107 blacks) over a median follow-up of 6.1 years (interquartile range: 4.6 to 7.3 years). The age-adjusted SCD incidence rate (per 1,000 person-years) was higher in blacks (1.8; 95% confidence interval [CI]: 1.4 to 2.2) compared with whites (0.7; 95% CI: 0.6 to 0.9), with an unadjusted hazard ratio of 2.35; 95% CI: 1.74 to 3.20. The association of black race with SCD risk remained significant after adjustment for sociodemographics, comorbidities, behavioral measures of health, intervening cardiovascular events, and competing risks of non-SCD mortality (hazard ratio: 1.97; 95% CI: 1.39 to 2.77). CONCLUSIONS In a large biracial population of adults without a history of cardiovascular disease, SCD rates were significantly higher in blacks as compared with whites. These racial differences were not fully explained by demographics, adverse socioeconomic measures, cardiovascular risk factors, and behavioral measures of health.
Collapse
Affiliation(s)
- Rajat Deo
- Electrophysiology Section, Division of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Monika M Safford
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Yulia A Khodneva
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Deanna P Jannat-Khah
- Division of General Internal Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Todd M Brown
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Suzanne E Judd
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - William M McClellan
- Departments of Medicine and Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - J David Rhodes
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Michael G Shlipak
- Department of Epidemiology, Biostatistics, and Medicine, University of California San Francisco, San Francisco, California; Department of General Internal Medicine, San Francisco VA Medical Center, San Francisco, California
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, and Department of Internal Medicine, Cardiology Section, Wake Forest University School of Medicine, Winston Salem, North Carolina
| | - Christine M Albert
- Center for Arrhythmia Prevention, Division of Preventive Medicine, and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
13
|
Tseng ZH, Olgin JE, Vittinghoff E, Ursell PC, Kim AS, Sporer K, Yeh C, Colburn B, Clark NM, Khan R, Hart AP, Moffatt E. Prospective Countywide Surveillance and Autopsy Characterization of Sudden Cardiac Death: POST SCD Study. Circulation 2019; 137:2689-2700. [PMID: 29915095 DOI: 10.1161/circulationaha.117.033427] [Citation(s) in RCA: 180] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Accepted: 02/28/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND Studies of out-of-hospital cardiac arrest and sudden cardiac death (SCD) use emergency medical services records, death certificates, or definitions that infer cause of death; thus, the true incidence of SCD is unknown. Over 90% of SCDs occur out-of-hospital; nonforensic autopsies are rarely performed, and therefore causes of death are presumed. We conducted a medical examiner-based investigation to determine the precise incidence and autopsy-defined causes of all SCDs in an entire metropolitan area. We hypothesized that postmortem investigation would identify actual sudden arrhythmic deaths among presumed SCDs. METHODS Between February 1, 2011, and March 1, 2014, we prospectively identified all incident deaths attributed to out-of-hospital cardiac arrest (emergency medical services primary impression, cardiac arrest) between 18 to 90 years of age in San Francisco County for autopsy, toxicology, and histology via medical examiner surveillance of consecutive out-of-hospital deaths, all reported by law. We obtained comprehensive records to determine whether out-of-hospital cardiac arrest deaths met World Health Organization (WHO) criteria for SCD. We reviewed death certificates filed quarterly for missed SCDs. Autopsy-defined sudden arrhythmic deaths had no extracardiac cause of death or acute heart failure. A multidisciplinary committee adjudicated final cause. RESULTS All 20 440 deaths were reviewed; 12 671 were unattended and reported to the medical examiner. From these, we identified 912 out-of-hospital cardiac arrest deaths; 541 (59%) met WHO SCD criteria (mean 62.8 years, 69% male) and 525 (97%) were autopsied. Eighty-nine additional WHO-defined SCDs occurred within 3 weeks of active medical care with the death certificate signed by the attending physician, ineligible for autopsy but included in the countywide WHO-defined SCD incidence of 29.6/100 000 person-years, highest in black men (P<0.0001). Of 525 WHO-defined SCDs, 301 (57%) had no cardiac history. Leading causes of death were coronary disease (32%), occult overdose (13.5%), cardiomyopathy (10%), cardiac hypertrophy (8%), and neurological (5.5%). Autopsy-defined sudden arrhythmic deaths were 55.8% (293/525) of overall, 65% (78/120) of witnessed, and 53% (215/405) of unwitnessed WHO-defined SCDs (P=0.024); 286 of 293 (98%) had structural cardiac disease. CONCLUSIONS Forty percent of deaths attributed to stated cardiac arrest were not sudden or unexpected, and nearly half of presumed SCDs were not arrhythmic. These findings have implications for the accuracy of SCDs as defined by WHO criteria or emergency medical services records in aggregate mortality data, clinical trials, and cohort studies.
Collapse
Affiliation(s)
- Zian H Tseng
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., J.E.O.)
| | - Jeffrey E Olgin
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine (Z.H.T., J.E.O.)
| | | | | | | | - Karl Sporer
- Department of Emergency Medicine (K.S., C.Y.)
| | - Clement Yeh
- Department of Emergency Medicine (K.S., C.Y.).,San Francisco Fire Department, Emergency Medical Services Division, CA (C.Y.)
| | - Benjamin Colburn
- Department of Family Medicine, Oregon Health and Science University, Portland (B.C.)
| | - Nina M Clark
- School of Medicine (N.M.C.), University of California, San Francisco
| | - Rana Khan
- Weill Cornell Medical College, New York (R.K.)
| | - Amy P Hart
- Office of the Chief Medical Examiner, City and County of San Francisco, CA (A.P.H., E.M.)
| | - Ellen Moffatt
- Office of the Chief Medical Examiner, City and County of San Francisco, CA (A.P.H., E.M.)
| |
Collapse
|
14
|
Buja LM, Ottaviani G, Mitchell RN. Pathobiology of cardiovascular diseases: an update. Cardiovasc Pathol 2019; 42:44-53. [PMID: 31255975 DOI: 10.1016/j.carpath.2019.06.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 06/07/2019] [Indexed: 01/10/2023] Open
Abstract
This article introduces the Second Special Issue of Cardiovascular Pathology (CVP), the official journal of the Society for Cardiovascular Pathology (SCVP). This CVP Special Issue showcases a series of commemorative review articles in celebration of the 25th anniversary of CVP originally published in 2016 and now compiled into a virtual collection with online access for the cardiovascular pathology community. This overview also provides updates on the major categories of cardiovascular diseases from the perspective of cardiovascular pathologists, highlighting publications from CVP, as well as additional important review articles and clinicopathologic references.
Collapse
Affiliation(s)
- L Maximilian Buja
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; Cardiovascular Pathology Research Laboratory, Texas Heart Institute, CHI St. Luke's Hospital, Houston, TX, USA.
| | - Giulia Ottaviani
- Department of Pathology and Laboratory Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA; "Lino Rossi" Research Center for the study and prevention of unexpected perinatal death and sudden infant death syndrome, Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Richard N Mitchell
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
15
|
Reinier K, Rusinaru C, Chugh SS. Race, ethnicity, and the risk of sudden death<sup/>. Trends Cardiovasc Med 2018; 29:120-126. [PMID: 30029848 DOI: 10.1016/j.tcm.2018.07.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Revised: 07/03/2018] [Accepted: 07/04/2018] [Indexed: 12/28/2022]
Abstract
Sudden cardiac death (SCD) is a major cause of death worldwide, with an estimated U.S. annual incidence of 350,000 [1]. This review will examine the influence of race and ethnicity on SCD burden and risk factors, and review the available literature on resuscitation outcomes and primary prevention of SCD. An improved understanding of associations between race, ethnicity, and SCD may provide clues to mechanisms, lead to improved prevention of SCD, and ultimately reduce racial and ethnic disparities in the burden of SCD.
Collapse
Affiliation(s)
- Kyndaron Reinier
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Carmen Rusinaru
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sumeet S Chugh
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| |
Collapse
|
16
|
Bonny A, Tibazarwa K, Mbouh S, Wa J, Fonga R, Saka C, Ngantcha M. Epidemiology of sudden cardiac death in Cameroon: the first population-based cohort survey in sub-Saharan Africa. Int J Epidemiol 2018; 46:1230-1238. [PMID: 28453817 PMCID: PMC5837681 DOI: 10.1093/ije/dyx043] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2017] [Indexed: 11/18/2022] Open
Abstract
Background Incidence estimates of sudden cardiac death (SCD) in sub-Saharan Africa (SSA) are unknown. Method Over 12 months, the household administrative office and health community committee within neighbourhoods in two health areas of Douala, Cameroon, registered all deaths among 86 188 inhabitants aged >18 years. As part of an extended multi-source surveillance system, the Emergency Medical Service (EMS), local medical examiners and district hospital mortuaries were also surveyed. Whereas two physicians investigated every natural death, two cardiologists reviewed all unexpected natural deaths. Results There were 288 all-cause deaths and 27 (9.4%) were SCD. The crude incidence rate was 31.3 [95% confidence interval (CI): 20.3–40.6]/100 000 person-years. The age-standardized rate by the African standard population was 33.6 (95% CI: 22.4–44.9)/100 000 person-years. Death occurred at night in 37% of cases, including 11% of patients who died while asleep. Out-of-hospital sudden cardiac arrest occurred in 63% of cases, 55.5% of which occurred at home. Of the 88.9% cases of witnessed cardiac arrest, 63% occurred in the presence of a family member and cardiopulmonary resuscitation was attempted only in 3.7%. Conclusion The burden of SCD in this African population is heavy with distinct characteristics, whereas awareness of SCD and prompt resuscitation efforts appear suboptimal. Larger epidemiological studies are required in SSA in order to implement preventive measures, especially in women and young people.
Collapse
Affiliation(s)
- Aimé Bonny
- Cameroon Cardiovascular Research Network, Douala, Cameroon.,University of Douala, Department of Clinical Sciences, Douala, Cameroon.,Cardiovascular Research Unit, Department of Cardiology, Clinique Paul Picquet, Sens, France
| | - Kemi Tibazarwa
- The Jakaya Kikwete Cardiac Institute, Muhimbili National Hospital, Dar es Salaam, Tanzania
| | - Samuel Mbouh
- Institut national de la jeunesse et sport (INJS), Yaoundé, Cameroon
| | - Jonas Wa
- Hôpital de District de Bonassama, Douala, Cameroon
| | - Réné Fonga
- Hôpital de District de New-Bell, Douala, Cameroon
| | - Cecile Saka
- Service de cardiologie, hôpital Laquintinie de Douala, Cameroon
| | - Marcus Ngantcha
- Cameroon Cardiovascular Research Network, Douala, Cameroon.,Cardiovascular Research Unit, Department of Cardiology, Clinique Paul Picquet, Sens, France
| | | |
Collapse
|
17
|
Affiliation(s)
- Jingjing Zheng
- Department of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Da Zheng
- Department of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Terry Su
- Department of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jianding Cheng
- Department of Forensic Pathology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
18
|
A 34-year longitudinal study on long-term cardiac outcomes in DM1 patients with normal ECG at baseline at an Italian clinical centre. J Neurol 2018; 265:885-895. [DOI: 10.1007/s00415-018-8773-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Revised: 01/22/2018] [Accepted: 01/29/2018] [Indexed: 10/18/2022]
|
19
|
Tereshchenko LG, Soliman EZ, Davis BR, Oparil S. Risk stratification of sudden cardiac death in hypertension. J Electrocardiol 2017; 50:798-801. [PMID: 28916176 DOI: 10.1016/j.jelectrocard.2017.08.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Indexed: 12/28/2022]
Abstract
In the United States, up to 450,000 people per year die suddenly; an average of 1 sudden death every 70s. Strategies for preventing sudden cardiac death are urgently needed. Systemic arterial hypertension is a major risk factor for sudden cardiac death and the increasing burden of hypertension is a worldwide problem. The lifetime risk of sudden cardiac death at 30years of age is higher by 30% in individuals with hypertension. Each 20/10mmHg increase in systolic/diastolic blood pressure, is associated with a 20% additional increase in sudden cardiac death risk. Theoretically, antihypertensive treatment should be an effective strategy for sudden cardiac death prevention. However, a recent meta-analysis of 15 randomized controlled trials showed that antihypertensive treatment does not reduce the incidence of sudden cardiac death. This manuscript reviews ECG predictors of sudden cardiac death and the importance of risk stratification for appropriate management of hypertension.
Collapse
Affiliation(s)
- Larisa G Tereshchenko
- The Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, United States.
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Division of Public Health Sciences, Department of Medicine, Cardiology Section, Wake Forest School of Medicine, Winston Salem, NC, United States
| | - Barry R Davis
- University of Texas School of Public Health, Houston, TX, United States
| | - Suzanne Oparil
- University of Alabama at Birmingham, Department of Medicine, School of Medicine, Birmingham, AL, United States
| |
Collapse
|
20
|
Wong GC, van Diepen S, Ainsworth C, Arora RC, Diodati JG, Liszkowski M, Love M, Overgaard C, Schnell G, Tanguay JF, Wells G, Le May M. Canadian Cardiovascular Society/Canadian Cardiovascular Critical Care Society/Canadian Association of Interventional Cardiology Position Statement on the Optimal Care of the Postarrest Patient. Can J Cardiol 2017; 33:1-16. [DOI: 10.1016/j.cjca.2016.10.021] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2016] [Revised: 10/18/2016] [Accepted: 10/19/2016] [Indexed: 02/07/2023] Open
|
21
|
Deo R, Norby FL, Katz R, Sotoodehnia N, Adabag S, DeFilippi CR, Kestenbaum B, Chen LY, Heckbert SR, Folsom AR, Kronmal RA, Konety S, Patton KK, Siscovick D, Shlipak MG, Alonso A. Development and Validation of a Sudden Cardiac Death Prediction Model for the General Population. Circulation 2016; 134:806-16. [PMID: 27542394 PMCID: PMC5021600 DOI: 10.1161/circulationaha.116.023042] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2014] [Accepted: 07/31/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Most sudden cardiac death (SCD) events occur in the general population among persons who do not have any prior history of clinical heart disease. We sought to develop a predictive model of SCD among US adults. METHODS We evaluated a series of demographic, clinical, laboratory, electrocardiographic, and echocardiographic measures in participants in the ARIC study (Atherosclerosis Risk in Communities) (n=13 677) and the CHS (Cardiovascular Health Study) (n=4207) who were free of baseline cardiovascular disease. Our initial objective was to derive a SCD prediction model using the ARIC cohort and validate it in CHS. Independent risk factors for SCD were first identified in the ARIC cohort to derive a 10-year risk model of SCD. We compared the prediction of SCD with non-SCD and all-cause mortality in both the derivation and validation cohorts. Furthermore, we evaluated whether the SCD prediction equation was better at predicting SCD than the 2013 American College of Cardiology/American Heart Association Cardiovascular Disease Pooled Cohort risk equation. RESULTS There were a total of 345 adjudicated SCD events in our analyses, and the 12 independent risk factors in the ARIC study included age, male sex, black race, current smoking, systolic blood pressure, use of antihypertensive medication, diabetes mellitus, serum potassium, serum albumin, high-density lipoprotein, estimated glomerular filtration rate, and QTc interval. During a 10-year follow-up period, a model combining these risk factors showed good to excellent discrimination for SCD risk (c-statistic 0.820 in ARIC and 0.745 in CHS). The SCD prediction model was slightly better in predicting SCD than the 2013 American College of Cardiology/American Heart Association Pooled Cohort risk equations (c-statistic 0.808 in ARIC and 0.743 in CHS). Only the SCD prediction model, however, demonstrated similar and accurate prediction for SCD using both the original, uncalibrated score and the recalibrated equation. Finally, in the echocardiographic subcohort, a left ventricular ejection fraction <50% was present in only 1.1% of participants and did not enhance SCD prediction. CONCLUSIONS Our study is the first to derive and validate a generalizable risk score that provides well-calibrated, absolute risk estimates across different risk strata in an adult population of white and black participants without a clinical diagnosis of cardiovascular disease.
Collapse
Affiliation(s)
- Rajat Deo
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.).
| | - Faye L Norby
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Ronit Katz
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Nona Sotoodehnia
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Selcuk Adabag
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Christopher R DeFilippi
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Bryan Kestenbaum
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Lin Y Chen
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Susan R Heckbert
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Aaron R Folsom
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Richard A Kronmal
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Suma Konety
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Kristen K Patton
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - David Siscovick
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Michael G Shlipak
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Alvaro Alonso
- From Section of Electrophysiology, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia (R.D.); Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., A.R.F.); Kidney Research Institute (R.K., B.K., R.A.K.), Division of Cardiology (N.S., K.K.P.), University of Washington, Seattle; Division of Cardiology, Veterans Affairs Medical Center, Minneapolis, MN (S.A.); Division of Cardiology, University of Maryland School of Medicine, Baltimore (C.R.D.); Division of Nephrology, University of Washington, Seattle (B.K.); Division of Cardiology, University of Minnesota Medical School, Minneapolis (L.Y.C., S.K.); Department of Epidemiology and Cardiovascular Health Research Unit, University of Washington, Seattle (S.R.H.); Department of Biostatistics (R.A.K.), The New York Academy of Medicine, New York, NY (D.S.); General Internal Medicine Section, Veterans Affairs Medical Center, San Francisco, CA, Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco (M.G.S.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| |
Collapse
|
22
|
Abstract
Although the occurrence of sudden cardiac death (SCD) in a young person is a rare event, it is traumatic and often widely publicized. In recent years, SCD in this population has been increasingly seen as a public health and safety issue. This review presents current knowledge relevant to the epidemiology of SCD and to strategies for prevention, resuscitation, and identification of those at greatest risk. Areas of active research and controversy include the development of best practices in screening, risk stratification approaches and postmortem evaluation, and identification of modifiable barriers to providing better outcomes after resuscitation of young SCD patients. Institution of a national registry of SCD in the young will provide data that will help to answer these questions.
Collapse
Affiliation(s)
- Michael Ackerman
- From Departments of Internal Medicine, Pediatrics, and Molecular Pharmacology & Experimental Therapeutics; Divisions of Cardiovascular Diseases and Pediatric Cardiology; Windland Smith Rice Sudden Death Genomics Laboratory; Mayo Clinic, Rochester, MN (M.A.);Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa, City (D.L.A.); andDepartment of Cardiology, Boston Children's Hospital, MA (J.K.T.)
| | - Dianne L Atkins
- From Departments of Internal Medicine, Pediatrics, and Molecular Pharmacology & Experimental Therapeutics; Divisions of Cardiovascular Diseases and Pediatric Cardiology; Windland Smith Rice Sudden Death Genomics Laboratory; Mayo Clinic, Rochester, MN (M.A.);Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa, City (D.L.A.); andDepartment of Cardiology, Boston Children's Hospital, MA (J.K.T.)
| | - John K Triedman
- From Departments of Internal Medicine, Pediatrics, and Molecular Pharmacology & Experimental Therapeutics; Divisions of Cardiovascular Diseases and Pediatric Cardiology; Windland Smith Rice Sudden Death Genomics Laboratory; Mayo Clinic, Rochester, MN (M.A.);Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa, City (D.L.A.); andDepartment of Cardiology, Boston Children's Hospital, MA (J.K.T.).
| |
Collapse
|
23
|
|
24
|
Abstract
Sudden cardiac death (SCD) is defined by the World Health Organization (WHO) as death within 1 h of symptom onset (witnessed) or within 24 h of being observed alive and symptom free (unwitnessed). It affects more than 3 million people annually worldwide and affects approximately 1/1000 people each year in the USA. Familial studies of syndromes with Mendelian inheritance, candidate genes analyses, and genome-wide association studies (GWAS) have helped our understanding of the genetics of SCD. We will review the genetics of arrhythmogenic hereditary syndromes with Mendelian inheritance from familial studies with structural heart disease (hypertrophic cardiomyopathy, dilated cardiomyopathy, and arrhythmogenic cardiomyopathy) as well as primary electrical causes (long QT syndrome, Brugada syndrome, catecholaminergic polymorphic ventricular tachycardia, and short QT syndrome). In addition, we will review the genetics of intermediate phenotypes for SCD such as coronary artery disease and electrocardiographic variables (QT interval, QRS duration, and RR interval). Finally, we will review rare and common variants that are associated with SCD in the general population and were identified from candidate gene analyses and GWAS. Our understanding of the genetics of SCD will improve by the use of next-generation sequencing/whole-exome sequencing as well as whole-genome sequencing which have the potential to discover unsuspected common and rare genetic variants that might be associated with SCD.
Collapse
|
25
|
Chiuve SE, Sun Q, Sandhu RK, Tedrow U, Cook NR, Manson JE, Albert CM. Adiposity throughout adulthood and risk of sudden cardiac death in women. JACC Clin Electrophysiol 2015; 1:520-528. [PMID: 26824079 DOI: 10.1016/j.jacep.2015.07.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Sudden cardiac death (SCD) is often the first manifestation of coronary heart disease (CHD) among women. Data regarding BMI and risk of SCD are limited and conflicting. OBJECTIVES We examined the association of BMI repeatedly measured over 32 years and BMI during early and mid-adulthood with risk of SCD in the Nurses' Health Study. METHODS We prospectively followed 72,484 women free of chronic disease from 1980-2012. We ascertained adult height, current weight, and weight at age 18 at baseline and updated weight biennially. The primary endpoint was SCD (n=445). RESULTS When updated biennially, higher BMI was associated with greater SCD risk after adjusting for confounders (p, linear trend: <0.001). Compared to a BMI of 21.0-22.9, the multivariate RR (95%CI) of SCD was 1.46 (1.05, 2.04) for BMI 25.0-29.9, 1.46 (1.00, 2.13) for BMI 30.0-34.9 and 2.18 (1.44, 3.28) for BMI ≥35.0. Among women with a BMI ≥35.0, SCD remained elevated even after adjustment for interim development of CHD and other mediators (RR: 1.72; 95%CI: 1.13, 2.60). In contrast, the association between BMI and fatal CHD risk was completely attenuated after adjustment for mediators. The magnitude of the association between BMI and SCD was greater when BMI was assessed at baseline or at age 18, at which time SCD risk remained significantly elevated at BMI≥30 after adjustment for mediators. CONCLUSIONS Higher BMI was associated with greater risk of SCD, particularly when assessed earlier in adulthood. Strategies to maintain a healthy weight throughout adulthood may minimize SCD incidence.
Collapse
Affiliation(s)
- Stephanie E Chiuve
- Center for Arrhythmia Prevention, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; The Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Qi Sun
- The Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Roopinder K Sandhu
- The Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Cardiology, University of Alberta, Edmonton, Alberta, Canada
| | - Usha Tedrow
- Center for Arrhythmia Prevention, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; The Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Nancy R Cook
- The Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - JoAnn E Manson
- The Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Christine M Albert
- Center for Arrhythmia Prevention, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; The Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; The Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| |
Collapse
|
26
|
Waldo SW, Chang L, Strom JB, O’Brien C, Pomerantsev E, Yeh RW. Predicting the Presence of an Acute Coronary Lesion Among Patients Resuscitated From Cardiac Arrest. Circ Cardiovasc Interv 2015; 8:CIRCINTERVENTIONS.114.002198. [DOI: 10.1161/circinterventions.114.002198] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Stephen W. Waldo
- From the Division of Cardiology, Department of Medicine (S.W.W., C.O., E.P., R.W.Y.), and Department of Medicine (L.C., J.B.S.), Massachusetts General Hospital, Boston
| | - Lee Chang
- From the Division of Cardiology, Department of Medicine (S.W.W., C.O., E.P., R.W.Y.), and Department of Medicine (L.C., J.B.S.), Massachusetts General Hospital, Boston
| | - Jordan B. Strom
- From the Division of Cardiology, Department of Medicine (S.W.W., C.O., E.P., R.W.Y.), and Department of Medicine (L.C., J.B.S.), Massachusetts General Hospital, Boston
| | - Cashel O’Brien
- From the Division of Cardiology, Department of Medicine (S.W.W., C.O., E.P., R.W.Y.), and Department of Medicine (L.C., J.B.S.), Massachusetts General Hospital, Boston
| | - Eugene Pomerantsev
- From the Division of Cardiology, Department of Medicine (S.W.W., C.O., E.P., R.W.Y.), and Department of Medicine (L.C., J.B.S.), Massachusetts General Hospital, Boston
| | - Robert W. Yeh
- From the Division of Cardiology, Department of Medicine (S.W.W., C.O., E.P., R.W.Y.), and Department of Medicine (L.C., J.B.S.), Massachusetts General Hospital, Boston
| |
Collapse
|
27
|
Hameed AB, Lawton ES, McCain CL, Morton CH, Mitchell C, Main EK, Foster E. Pregnancy-related cardiovascular deaths in California: beyond peripartum cardiomyopathy. Am J Obstet Gynecol 2015; 213:379.e1-10. [PMID: 25979616 DOI: 10.1016/j.ajog.2015.05.008] [Citation(s) in RCA: 108] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 03/13/2015] [Accepted: 05/05/2015] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Maternal mortality rates rose markedly from 2002 to 2006 in California, prompting an in-depth maternal mortality review in a state that comprises one twelfth of the US birth cohort. Cardiovascular disease has emerged as the leading cause of pregnancy-related death in the United States. The primary aim of this analysis was to describe the incidence and type of cardiovascular disease as a cause of pregnancy-related mortality in California. The secondary aims were to describe racial/ethnic and socioeconomic disparities, risk factors, birth outcomes, timing of death and diagnosis, and signs and symptoms of cardiovascular disease and identify contributing factors. STUDY DESIGN The California Pregnancy-Associated Mortality Review retrospectively examined a case series of 64 cardiovascular pregnancy-related deaths from 2002 through 2006. Two cardiologists independently reviewed complete inpatient and outpatient medical records including laboratory, radiology, electrocardiogram, chest X-ray, echocardiograms, and autopsy findings for each cardiovascular death and classified cause of death by type of cardiovascular disease. Demographic data, racial disparities, risk factors, signs and symptoms, timing of diagnosis and death, birth outcomes, and contributing factors were analyzed using bivariate comparisons with noncardiovascular pregnancy-related deaths and population-based data. RESULTS Among 2,741,220 California women who gave birth, 864 died while pregnant or within 1 year of pregnancy; 257 of the deaths were deemed pregnancy related, and of these, 64 (25%) were attributed to cardiovascular disease. There were 42 deaths caused by cardiomyopathy, and the pregnancy-related mortality rate from cardiomyopathy was 1.54 per 100,000 births. Dilated cardiomyopathy existed in 29 cases, of which 15 met the definition of peripartum cardiomyopathy. Women with cardiovascular disease were more likely than women who died from noncardiovascular causes to be African-American (39.1% vs 16.1%; P < .01) and more likely to use illicit substances (23.7% vs 9.4%; P < .01). Thirty-seven percent were obese and 20% had a concomitant diagnosis of hypertension or preeclampsia during pregnancy. Health care decisions in the diagnosis or treatment of cardiovascular disease during and after pregnancy contributed to the fatal outcomes. CONCLUSION African-American race, substance use, and obesity were risk factors for pregnancy-related cardiovascular disease mortality. Chronic disease prevention and better recognition and response to cardiovascular disease during pregnancy are needed to reduce maternal mortality.
Collapse
|
28
|
Abstract
Sudden cardiac death (SCD) from cardiac arrest is a major international public health problem accounting for an estimated 15%-20% of all deaths. Although resuscitation rates are generally improving throughout the world, the majority of individuals who experience a sudden cardiac arrest will not survive. SCD most often develops in older adults with acquired structural heart disease, but it also rarely occurs in the young, where it is more commonly because of inherited disorders. Coronary heart disease is known to be the most common pathology underlying SCD, followed by cardiomyopathies, inherited arrhythmia syndromes, and valvular heart disease. During the past 3 decades, declines in SCD rates have not been as steep as for other causes of coronary heart disease deaths, and there is a growing fraction of SCDs not due to coronary heart disease and ventricular arrhythmias, particularly among certain subsets of the population. The growing heterogeneity of the pathologies and mechanisms underlying SCD present major challenges for SCD prevention, which are magnified further by a frequent lack of recognition of the underlying cardiac condition before death. Multifaceted preventative approaches, which address risk factors in seemingly low-risk and known high-risk populations, will be required to decrease the burden of SCD. In this Compendium, we review the wide-ranging spectrum of epidemiology underlying SCD within both the general population and in high-risk subsets with established cardiac disease placing an emphasis on recent global trends, remaining uncertainties, and potential targeted preventive strategies.
Collapse
Affiliation(s)
- Meiso Hayashi
- From the Department of Cardiovascular Medicine, Nippon Medical School, Tokyo, Japan (M.H., W.S.); and Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (C.M.A.)
| | - Wataru Shimizu
- From the Department of Cardiovascular Medicine, Nippon Medical School, Tokyo, Japan (M.H., W.S.); and Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (C.M.A.).
| | - Christine M Albert
- From the Department of Cardiovascular Medicine, Nippon Medical School, Tokyo, Japan (M.H., W.S.); and Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (C.M.A.).
| |
Collapse
|
29
|
Refaat MM, Hotait M, Tseng ZH. Utility of the exercise electrocardiogram testing in sudden cardiac death risk stratification. Ann Noninvasive Electrocardiol 2015; 19:311-8. [PMID: 25040480 DOI: 10.1111/anec.12191] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Sudden cardiac death (SCD) remains a major public health problem. Current established criteria identifying those at risk of sudden arrhythmic death, and likely to benefit from implantable cardioverter defibrillators (ICDs), are neither sensitive nor specific. Exercise electrocardiogram (ECG) testing was traditionally used for information concerning patients' symptoms, exercise capacity, cardiovascular function, myocardial ischemia detection, and hemodynamic responses during activity in patients with hypertrophic cardiomyopathy. METHODS We conducted a systematic review of MEDLINE on the utility of exercise ECG testing in SCD risk stratification. RESULTS Exercise testing can unmask suspected primary electrical diseases in certain patients (catecholaminergic polymorphic ventricular tachycardia or concealed long QT syndrome) and can be effectively utilized to risk stratify patients at an increased (such as early repolarization syndrome and Brugada syndrome) or decreased risk of SCD, such as the loss of preexcitation on exercise testing in asymptomatic Wolff-Parkinson-White syndrome. CONCLUSIONS Exercise ECG testing helps in SCD risk stratification in patients with and without arrhythmogenic hereditary syndromes.
Collapse
Affiliation(s)
- Marwan M Refaat
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, American University of Beirut Faculty of Medicine and Medical Center, Beirut, Lebanon
| | | | | |
Collapse
|
30
|
Narayanan K, Reinier K, Teodorescu C, Uy-Evanado A, Aleong R, Chugh H, Nichols GA, Gunson K, London B, Jui J, Chugh SS. Left ventricular diameter and risk stratification for sudden cardiac death. J Am Heart Assoc 2014; 3:e001193. [PMID: 25227407 PMCID: PMC4323796 DOI: 10.1161/jaha.114.001193] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Left ventricular (LV) diameter is routinely measured on the echocardiogram but has not been jointly evaluated with the ejection fraction (EF) for risk stratification of sudden cardiac death (SCD). Methods and Results From a large ongoing community‐based study of SCD (The Oregon Sudden Unexpected Death Study; population ≈1 million), SCD cases were compared with geographic controls. LVEF and LV diameter, measured using the LV internal dimension in diastole (categorized as normal, mild, moderate, or severe dilatation using American Society of Echocardiography definitions) were assessed from echocardiograms prior but unrelated to the SCD event. Cases (n=418; 69.5±13.8 years), compared with controls (n=329; 67.7±11.9 years), more commonly had severe LV dysfunction (EF ≤35%; 30.5% versus 18.8%; P<0.01) and larger LV diameter (52.2±10.5 mm versus 49.7±7.9 mm; P<0.01). Moderate or severe LV dilatation (16.3% versus 8.2%; P=0.001) and severe LV dilatation (8.1% versus 2.1%; P<0.001) were significantly more frequent in cases. In multivariable analysis, severe LV dilatation was an independent predictor of SCD (odds ratio 2.5 [95% CI 1.03 to 5.9]; P=0.04). In addition, subjects with both EF ≤35% and severe LV dilatation had higher odds for SCD compared with those with low EF only (odds ratio 3.8 [95% CI 1.5 to 10.2] for both versus 1.7 [95% CI 1.2 to 2.5] for low EF only), suggesting that severe LV dilatation additively increased SCD risk. Conclusion LV diameter may contribute to risk stratification for SCD independent of the LVEF. This readily available echocardiographic measure warrants further prospective evaluation.
Collapse
Affiliation(s)
- Kumar Narayanan
- Cedars Sinai Medical Center, Los Angeles, CA (K.N., K.R., C.T., A.U.E., H.C., S.S.C.)
| | - Kyndaron Reinier
- Cedars Sinai Medical Center, Los Angeles, CA (K.N., K.R., C.T., A.U.E., H.C., S.S.C.)
| | - Carmen Teodorescu
- Cedars Sinai Medical Center, Los Angeles, CA (K.N., K.R., C.T., A.U.E., H.C., S.S.C.)
| | - Audrey Uy-Evanado
- Cedars Sinai Medical Center, Los Angeles, CA (K.N., K.R., C.T., A.U.E., H.C., S.S.C.)
| | | | - Harpriya Chugh
- Cedars Sinai Medical Center, Los Angeles, CA (K.N., K.R., C.T., A.U.E., H.C., S.S.C.)
| | | | - Karen Gunson
- Oregon Health and Science University, Portland, OR (K.G., J.J.)
| | | | - Jonathan Jui
- Oregon Health and Science University, Portland, OR (K.G., J.J.)
| | - Sumeet S Chugh
- Cedars Sinai Medical Center, Los Angeles, CA (K.N., K.R., C.T., A.U.E., H.C., S.S.C.)
| |
Collapse
|
31
|
Anderson ML, Cox M, Al-Khatib SM, Nichol G, Thomas KL, Chan PS, Saha-Chaudhuri P, Fosbol EL, Eigel B, Clendenen B, Peterson ED. Rates of cardiopulmonary resuscitation training in the United States. JAMA Intern Med 2014; 174:194-201. [PMID: 24247329 PMCID: PMC4279433 DOI: 10.1001/jamainternmed.2013.11320] [Citation(s) in RCA: 117] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Prompt bystander cardiopulmonary resuscitation (CPR) improves the likelihood of surviving an out-of-hospital cardiac arrest. Large regional variations in survival after an out-of-hospital cardiac arrest have been noted. OBJECTIVES To determine whether regional variations in county-level rates of CPR training exist across the United States and the factors associated with low rates in US counties. DESIGN, SETTING, AND PARTICIPANTS We used a cross-sectional ecologic study design to analyze county-level rates of CPR training in all US counties from July 1, 2010, through June 30, 2011. We used CPR training data from the American Heart Association, the American Red Cross, and the Health & Safety Institute. Using multivariable logistic regression models, we examined the association of annual rates of adult CPR training of citizens by these 3 organizations (categorized as tertiles) with a county's geographic, population, and health care characteristics. EXPOSURE Completion of CPR training. MAIN OUTCOME AND MEASURES Rate of CPR training measured as CPR course completion cards distributed and CPR training products sold by the American Heart Association, persons trained in CPR by the American Red Cross, and product sales data from the Health & Safety Institute. RESULTS During the study period, 13.1 million persons in 3143 US counties received CPR training. Rates of county training ranged from 0.00% to less than 1.29% (median, 0.51%) in the lower tertile, 1.29% to 4.07% (median, 2.39%) in the middle tertile, and greater than 4.07% or greater (median, 6.81%) in the upper tertile. Counties with rates of CPR training in the lower tertile were more likely to have a higher proportion of rural areas (adjusted odds ratio, 1.12 [95% CI, 1.10-1.15] per 5-percentage point [PP] change), higher proportions of black (1.09 [1.06-1.13] per 5-PP change) and Hispanic (1.06 [1.02-1.11] per 5-PP change) residents, a lower median household income (1.18 [1.04-1.34] per $10 000 decrease), and a higher median age (1.28 [1.04-1.58] per 10-year change). Counties in the South, Midwest, and West were more likely to have rates of CPR training in the lower tertile compared with the Northeast (adjusted odds ratios, 7.78 [95% CI, 3.66-16.53], 5.56 [2.63-11.75], and 5.39 [2.48-11.72], respectively). CONCLUSIONS AND RELEVANCE Annual rates of US CPR training are low and vary widely across communities. Counties located in the South, those with higher proportions of rural areas and of black and Hispanic residents, and those with lower median household incomes have lower rates of CPR training than their counterparts. These data contribute to known geographic disparities in survival of cardiac arrest and offer opportunities for future community interventions.
Collapse
Affiliation(s)
- Monique L Anderson
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Margueritte Cox
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Sana M Al-Khatib
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Graham Nichol
- Department of General Internal Medicine, University of Washington-Harborview Center for Prehospital Emergency Care, University of Washington, Seattle
| | - Kevin L Thomas
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Paul S Chan
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri
| | - Paramita Saha-Chaudhuri
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Emil L Fosbol
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | | | | | - Eric D Peterson
- Department of Medicine, Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| |
Collapse
|
32
|
Waldo SW, Armstrong EJ, Kulkarni A, Hoffmayer K, Kinlay S, Hsue P, Ganz P, McCabe JM. Comparison of clinical characteristics and outcomes of cardiac arrest survivors having versus not having coronary angiography. Am J Cardiol 2013; 111:1253-8. [PMID: 23391104 DOI: 10.1016/j.amjcard.2013.01.267] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2012] [Revised: 01/07/2013] [Accepted: 01/07/2013] [Indexed: 11/20/2022]
Abstract
Prompt percutaneous coronary intervention is associated with improved survival in patients presenting with cardiac arrest. Few studies, however, have focused on patients with cardiac arrest not selected for coronary angiography. The aim of the present study was to evaluate the clinical characteristics and outcomes of patients with cardiac arrest denied emergent angiography. Patients with cardiac arrest were identified within a registry that included all catheterization laboratory activations from 2008 to 2012. Logistic regression and proportional-hazards models were created to assess the clinical characteristics and mortality associated with denying emergent angiography. Among 664 patients referred for catheterization, 110 (17%) had cardiac arrest, and 26 of these patients did not undergo emergent angiography. Most subjects (69%) were turned down for angiography for clinical reasons and a minority for perceived futility (27%). After multivariate adjustment, pulseless electrical activity as the initial arrest rhythm (adjusted odds ratio [AOR] 13.27, 95% confidence interval [CI] 1.76 to 100.12), <1.0 mm of ST-segment elevation (AOR 10.26, 95% CI 1.68 to 62.73), female gender (AOR 4.45, 95% CI 1.04 to 19.08), and advancing age (AOR 1.10 per year, 95% CI 1.04 to 1.16) were associated with increased odds of withholding angiography. The mortality rate was markedly higher for patients who were denied emergent angiography (hazard ratio 3.64, 95% CI 2.05 to 6.49), even after adjustment for medical acuity (hazard ratio 2.29, 95% CI 1.19 to 4.41). In conclusion, older subjects, women, and patients without ST-segment elevation were more commonly denied emergent angiography after cardiac arrest. Patients denied emergent angiography had increased mortality that persisted after adjustment for illness severity.
Collapse
Affiliation(s)
- Stephen W Waldo
- Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA.
| | | | | | | | | | | | | | | |
Collapse
|
33
|
Tseng ZH, Moyers B, Secemsky EA, Havlir DV, Hsue PY. PR Interval and sudden cardiac death in patients with HIV infection. J Infect Dis 2012. [PMID: 23186784 DOI: 10.1093/infdis/jis655] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
34
|
Tseng ZH, Secemsky EA, Dowdy D, Vittinghoff E, Moyers B, Wong JK, Havlir DV, Hsue PY. Sudden cardiac death in patients with human immunodeficiency virus infection. J Am Coll Cardiol 2012; 59:1891-6. [PMID: 22595409 DOI: 10.1016/j.jacc.2012.02.024] [Citation(s) in RCA: 212] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2011] [Revised: 02/21/2012] [Accepted: 02/27/2012] [Indexed: 11/30/2022]
Abstract
OBJECTIVES The aim of this study was to determine the incidence and clinical characteristics of sudden cardiac death (SCD) in patients with human immunodeficiency virus (HIV) infection. BACKGROUND As the HIV-infected population ages, cardiovascular disease prevalence and mortality are increasing, but the incidence and features of SCD have not yet been described. METHODS The records of 2,860 consecutive patients in a public HIV clinic in San Francisco between April 2000 and August 2009 were examined. Identification of deaths, causes of death, and clinical characteristics were obtained by search of the National Death Index and/or clinic records. SCDs were determined using published retrospective criteria: 1) the International Classification of Diseases-10th Revision, code for all cardiac causes of death; and (2) circumstances of death meeting World Health Organization criteria. RESULTS Of 230 deaths over a median of 3.7 years of follow-up, 30 (13%) met SCD criteria, 131 (57%) were due to acquired immune deficiency syndrome (AIDS), 25 (11%) were due to other (natural) diseases, and 44 (19%) were due to overdoses, suicides, or unknown causes. SCDs accounted for 86% of all cardiac deaths (30 of 35). The mean SCD rate was 2.6 per 1,000 person-years (95% confidence interval: 1.8 to 3.8), 4.5-fold higher than expected. SCDs occurred in older patients than did AIDS deaths (mean 49.0 vs. 44.9 years, p = 0.02). Compared with AIDS and natural deaths combined, SCDs had a higher prevalence of prior myocardial infarction (17% vs. 1%, p < 0.0005), cardiomyopathy (23% vs. 3%, p < 0.0005), heart failure (30% vs. 9%, p = 0.004), and arrhythmias (20% vs. 3%, p = 0.003). CONCLUSIONS SCDs account for most cardiac and many non-AIDS natural deaths in HIV-infected patients. Further investigation is needed to ascertain underlying mechanisms, which may include inflammation, antiretroviral therapy interruption, and concomitant medications.
Collapse
Affiliation(s)
- Zian H Tseng
- Section of Cardiac Electrophysiology, Division of Cardiology, University of California-San Francisco, San Francisco, CA 94313, USA.
| | | | | | | | | | | | | | | |
Collapse
|