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Lu Y, Matuska K, Nadimpalli G, Ma Y, Duma N, Zhang HT, Chiang Y, Lyu H, Chillarige Y, Kelman JA, Forshee RA, Anderson SA. Stroke Risk After COVID-19 Bivalent Vaccination Among US Older Adults. JAMA 2024; 331:938-950. [PMID: 38502075 PMCID: PMC10951737 DOI: 10.1001/jama.2024.1059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/24/2024] [Indexed: 03/20/2024]
Abstract
Importance In January 2023, the US Centers for Disease Control and Prevention and the US Food and Drug Administration noted a safety concern for ischemic stroke among adults aged 65 years or older who received the Pfizer-BioNTech BNT162b2; WT/OMI BA.4/BA.5 COVID-19 bivalent vaccine. Objective To evaluate stroke risk after administration of (1) either brand of the COVID-19 bivalent vaccine, (2) either brand of the COVID-19 bivalent plus a high-dose or adjuvanted influenza vaccine on the same day (concomitant administration), and (3) a high-dose or adjuvanted influenza vaccine. Design, Setting, and Participants Self-controlled case series including 11 001 Medicare beneficiaries aged 65 years or older who experienced stroke after receiving either brand of the COVID-19 bivalent vaccine (among 5 397 278 vaccinated individuals). The study period was August 31, 2022, through February 4, 2023. Exposures Receipt of (1) either brand of the COVID-19 bivalent vaccine (primary) or (2) a high-dose or adjuvanted influenza vaccine (secondary). Main Outcomes and Measures Stroke risk (nonhemorrhagic stroke, transient ischemic attack, combined outcome of nonhemorrhagic stroke or transient ischemic attack, or hemorrhagic stroke) during the 1- to 21-day or 22- to 42-day risk window after vaccination vs the 43- to 90-day control window. Results There were 5 397 278 Medicare beneficiaries who received either brand of the COVID-19 bivalent vaccine (median age, 74 years [IQR, 70-80 years]; 56% were women). Among the 11 001 beneficiaries who experienced stroke after receiving either brand of the COVID-19 bivalent vaccine, there were no statistically significant associations between either brand of the COVID-19 bivalent vaccine and the outcomes of nonhemorrhagic stroke, transient ischemic attack, nonhemorrhagic stroke or transient ischemic attack, or hemorrhagic stroke during the 1- to 21-day or 22- to 42-day risk window vs the 43- to 90-day control window (incidence rate ratio [IRR] range, 0.72-1.12). Among the 4596 beneficiaries who experienced stroke after concomitant administration of either brand of the COVID-19 bivalent vaccine plus a high-dose or adjuvanted influenza vaccine, there was a statistically significant association between vaccination and nonhemorrhagic stroke during the 22- to 42-day risk window for the Pfizer-BioNTech BNT162b2; WT/OMI BA.4/BA.5 COVID-19 bivalent vaccine (IRR, 1.20 [95% CI, 1.01-1.42]; risk difference/100 000 doses, 3.13 [95% CI, 0.05-6.22]) and a statistically significant association between vaccination and transient ischemic attack during the 1- to 21-day risk window for the Moderna mRNA-1273.222 COVID-19 bivalent vaccine (IRR, 1.35 [95% CI, 1.06-1.74]; risk difference/100 000 doses, 3.33 [95% CI, 0.46-6.20]). Among the 21 345 beneficiaries who experienced stroke after administration of a high-dose or adjuvanted influenza vaccine, there was a statistically significant association between vaccination and nonhemorrhagic stroke during the 22- to 42-day risk window (IRR, 1.09 [95% CI, 1.02-1.17]; risk difference/100 000 doses, 1.65 [95% CI, 0.43-2.87]). Conclusions and Relevance Among Medicare beneficiaries aged 65 years or older who experienced stroke after receiving either brand of the COVID-19 bivalent vaccine, there was no evidence of a significantly elevated risk for stroke during the days immediately after vaccination.
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MESH Headings
- Aged
- Female
- Humans
- Male
- 2019-nCoV Vaccine mRNA-1273/adverse effects
- 2019-nCoV Vaccine mRNA-1273/therapeutic use
- Adjuvants, Immunologic/adverse effects
- Adjuvants, Immunologic/therapeutic use
- BNT162 Vaccine/adverse effects
- BNT162 Vaccine/therapeutic use
- COVID-19/prevention & control
- COVID-19 Vaccines/adverse effects
- COVID-19 Vaccines/therapeutic use
- Hemorrhagic Stroke/chemically induced
- Hemorrhagic Stroke/epidemiology
- Hemorrhagic Stroke/etiology
- Influenza Vaccines/adverse effects
- Influenza Vaccines/therapeutic use
- Ischemic Attack, Transient/chemically induced
- Ischemic Attack, Transient/epidemiology
- Ischemic Attack, Transient/etiology
- Medicare
- Stroke/epidemiology
- Stroke/etiology
- Stroke/prevention & control
- United States/epidemiology
- Vaccination/adverse effects
- Vaccination/methods
- Vaccines, Combined/adverse effects
- Vaccines, Combined/therapeutic use
- Centers for Disease Control and Prevention, U.S./statistics & numerical data
- United States Food and Drug Administration/statistics & numerical data
- Ischemic Stroke/chemically induced
- Ischemic Stroke/epidemiology
- Ischemic Stroke/etiology
- Influenza, Human/prevention & control
- Aged, 80 and over
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Affiliation(s)
- Yun Lu
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | | | | | - Yuxin Ma
- Acumen LLC, Burlingame, California
| | | | - Henry T Zhang
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | | | - Hai Lyu
- Acumen LLC, Burlingame, California
| | | | | | - Richard A Forshee
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Steven A Anderson
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
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Sweeney MR, Nichols HB, Jones RR, Olshan AF, Keil AP, Engel LS, James P, Sandler DP, White AJ, Jackson CL. Exposure to indoor light at night in relation to multiple dimensions of sleep health: findings from the Sister Study. Sleep 2024; 47:zsad100. [PMID: 37018759 PMCID: PMC10851850 DOI: 10.1093/sleep/zsad100] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 02/23/2023] [Indexed: 04/07/2023] Open
Abstract
STUDY OBJECTIVE To examine the association between light at night (LAN) and multiple sleep health dimensions. METHODS Among 47 765 Sister Study participants, indoor LAN (TV on in the room, light(s) on in room, light from outside the room, nightlight, no light) and sleep dimensions were self-reported at baseline (2003-2009). We used Poisson regression with robust variance to estimate adjusted prevalence ratios (PR) and 95% confidence intervals (CI) for the cross-sectional associations between LAN and short sleep duration (<7 hours/night), insomnia symptoms (difficulty falling or staying asleep), frequent napping (≥3 naps/week), inconsistent sleep/wake time (differed day-to-day and week-to-week), sleep debt (≥2 hours between longest and shortest duration), recent sleep medication use, and a cumulative poor sleep score (≥3 poor sleep dimensions). Population-attributable risks (PARs) were determined for any light exposure vs. none by race/ethnicity. RESULTS Compared to sleeping with no light in the bedroom, sleeping with a TV on was associated with a higher prevalence of most dimensions of poor sleep (e.g. short sleep duration: PR = 1.38, 95% CI: 1.32 to 1.45; inconsistent sleep/wake time: PR = 1.55, 95% CI: 1.44 to 1.66; sleep debt: PR = 1.36, 95% CI: 1.29 to 1.44; poor sleep score: PR = 1.58, 95% CI: 1.48-1.68). PARs tended to be higher for non-Hispanic black women compared to non-Hispanic white women. CONCLUSIONS Sleeping with a TV on was associated with poor sleep health among US women, and non-Hispanic black women may be disproportionately burdened.
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Affiliation(s)
- Marina R Sweeney
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Hazel B Nichols
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Alexander P Keil
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
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Shoaibi A, Lloyd PC, Wong HL, Clarke TC, Chillarige Y, Do R, Hu M, Jiao Y, Kwist A, Lindaas A, Matuska K, McEvoy R, Ondari M, Parulekar S, Shi X, Wang J, Lu Y, Obidi J, Zhou CK, Kelman JA, Forshee RA, Anderson SA. Evaluation of potential adverse events following COVID-19 mRNA vaccination among adults aged 65 years and older: Two self-controlled studies in the U.S. Vaccine 2023:S0264-410X(23)00682-5. [PMID: 37344261 DOI: 10.1016/j.vaccine.2023.06.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/09/2023] [Accepted: 06/02/2023] [Indexed: 06/23/2023]
Abstract
BACKGROUND Our near-real-time safety monitoring of 16 adverse events (AEs) following COVID-19 mRNA vaccination identified potential elevation in risk for six AEs following primary series and monovalent booster dose administration. The crude association with AEs does not imply causality. Accordingly, we conducted robust evaluation of potential associations. METHODS We conducted two self-controlled case series studies of COVID-19 mRNA vaccines (BNT162b2 and mRNA-1273) in U.S. Medicare beneficiaries aged ≥ 65 years. Adjusted incidence rate ratio (IRRs) and 95 % confidence intervals (CIs) were estimated following primary series doses for acute myocardial infarction (AMI), pulmonary embolism (PE), immune thrombocytopenia (ITP), disseminated intravascular coagulation (DIC); and following monovalent booster doses for AMI, PE, ITP, Bell's Palsy (BP) and Myocarditis/Pericarditis (Myo/Peri). RESULTS The primary series study included 3,360,981 individuals who received 6,388,542 primary series doses; the booster study included 6,156,100 individuals with one monovalent booster dose. The AMI IRR following BNT162b2 primary series and booster was 1.04 (95 % CI: 0.91 to 1.18) and 1.06 (95 % CI: 1.003 to 1.12), respectively; for mRNA-1273 primary series and booster, 1.01 (95 % CI: 0.82 to 1.26) and 1.05 (95 % CI: 0.998 to 1.11), respectively. The hospital inpatient PE IRR following BNT162b2 primary series and booster was 1.19 (95 % CI: 1.03 to 1.38) and 0.86 (95 % CI: 0.78 to 0.95), respectively; for mRNA-1273 primary series and booster, 1.15 (95 % CI: 0.94 to 1.41) and 0.87 (95 % CI: 0.79 to 0.96), respectively. The studies' results do not support that exposure to COVID-19 mRNA vaccines elevate the risk of ITP, DIC, Myo/Peri, and BP. CONCLUSION We did not find an increased risk for AMI, ITP, DIC, BP, and Myo/Peri and there was not consistent evidence for PE after exposure to COVID-19 mRNA primary series or monovalent booster vaccines. These results support the favorable safety profile of COVID-19 mRNA vaccines administered in the U.S. elderly population.
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Affiliation(s)
- Azadeh Shoaibi
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Patricia C Lloyd
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Hui-Lee Wong
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Tainya C Clarke
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Yoganand Chillarige
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Rose Do
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Mao Hu
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Yixin Jiao
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Andrew Kwist
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Arnstein Lindaas
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Kathryn Matuska
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Rowan McEvoy
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Michelle Ondari
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Shruti Parulekar
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Xiangyu Shi
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Jing Wang
- Acumen, LLC, 500 Airport Blvd. Suite 100, Burlingame, CA 94010, United States.
| | - Yun Lu
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Joyce Obidi
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Cindy K Zhou
- Formerly Affiliated with US Food and Drug Administration, Silver Spring, MD, United States
| | - Jeffrey A Kelman
- Centers for Medicare & Medicaid Services, 7500 Security Boulevard, Mail Stop B3-30-03, Baltimore, MD 21244-1850, United States
| | - Richard A Forshee
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
| | - Steven A Anderson
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, U. S. Food & Drug Administration, 10903 New Hampshire Ave., Building 71, Silver Spring, MD 20993, United States.
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Alhasan DM, Gaston SA, Jackson CL. Investigate the complexities of environmental determinants of sleep health disparities. Sleep 2022; 45:6615410. [PMID: 35738867 DOI: 10.1093/sleep/zsac145] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Dana M Alhasan
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Symielle A Gaston
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA.,Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
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5
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Mohr NM, Krishnadasan A, Harland KK, Ten Eyck P, Mower WR, Schrading WA, Montoy JCC, McDonald LC, Kutty PK, Hesse E, Santibanez S, Weissman DN, Slev P, Talan DA. Emergency department personnel patient care-related COVID-19 risk. PLoS One 2022; 17:e0271597. [PMID: 35867681 PMCID: PMC9307202 DOI: 10.1371/journal.pone.0271597] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 07/04/2022] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVES Emergency department (ED) health care personnel (HCP) are at risk of exposure to SARS-CoV-2. The objective of this study was to determine the attributable risk of SARS-CoV-2 infection from providing ED care, describe personal protective equipment use, and identify modifiable ED risk factors. We hypothesized that providing ED patient care increases the probability of acquiring SARS-CoV-2 infection. METHODS We conducted a multicenter prospective cohort study of 1,673 ED physicians, advanced practice providers (APPs), nurses, and nonclinical staff at 20 U.S. centers over 20 weeks (May to December 2020; before vaccine availability) to detect a four-percentage point increased SARS-CoV-2 incidence among HCP related to direct patient care. Participants provided monthly nasal and serology specimens and weekly exposure and procedure information. We used multivariable regression and recursive partitioning to identify risk factors. RESULTS Over 29,825 person-weeks, 75 participants (4.5%) acquired SARS-CoV-2 infection (31 were asymptomatic). Physicians/APPs (aOR 1.07; 95% CI 0.56-2.03) did not have higher risk of becoming infected compared to nonclinical staff, but nurses had a marginally increased risk (aOR 1.91; 95% CI 0.99-3.68). Over 99% of participants used CDC-recommended personal protective equipment (PPE), but PPE lapses occurred in 22.1% of person-weeks and 32.1% of SARS-CoV-2-infected patient intubations. The following factors were associated with infection: household SARS-CoV-2 exposure; hospital and community SARS-CoV-2 burden; community exposure; and mask non-use in public. SARS-CoV-2 intubation was not associated with infection (attributable risk fraction 13.8%; 95% CI -2.0-38.2%), and nor were PPE lapses. CONCLUSIONS Among unvaccinated U.S. ED HCP during the height of the pandemic, the risk of SARS-CoV-2 infection was similar in nonclinical staff and HCP engaged in direct patient care. Many identified risk factors were related to community exposures.
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Affiliation(s)
- Nicholas M. Mohr
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States of America
- * E-mail:
| | - Anusha Krishnadasan
- Olive View-UCLA Education and Research Institute, Los Angeles, California, United States of America
| | - Karisa K. Harland
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States of America
| | - Patrick Ten Eyck
- Institute for Clinical and Translational Science, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States of America
| | - William R. Mower
- Department of Emergency Medicine, Ronald Reagan-UCLA Medical Center, Los Angeles, California, United States of America
| | - Walter A. Schrading
- Department of Emergency Medicine, University of Alabama and Birmingham, Birmingham, Alabama, United States of America
| | - Juan Carlos C. Montoy
- Department of Emergency Medicine, University of California-San Francisco, San Francisco, California, United States of America
| | - L. Clifford McDonald
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Preeta K. Kutty
- Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Elisabeth Hesse
- Division of Preparedness and Emerging Infections, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Scott Santibanez
- Division of Preparedness and Emerging Infections, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - David N. Weissman
- Respiratory Health Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia, United States of America
| | - Patricia Slev
- ARUP Laboratories, Salt Lake City, Utah, United States of America
| | - David A. Talan
- Department of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States of America
- Olive View-UCLA Education and Research Institute, Los Angeles, California, United States of America
- Department of Emergency Medicine, Ronald Reagan-UCLA Medical Center, Los Angeles, California, United States of America
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Goud R, Lufkin B, Duffy J, Whitaker B, Wong HL, Liao J, Lo AC, Parulekar S, Agger P, Anderson SA, Wernecke M, MaCurdy TE, Weintraub E, Kelman JA, Forshee RA. Risk of Guillain-Barré Syndrome Following Recombinant Zoster Vaccine in Medicare Beneficiaries. JAMA Intern Med 2021; 181:1623-1630. [PMID: 34724025 PMCID: PMC8561433 DOI: 10.1001/jamainternmed.2021.6227] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Guillain-Barré syndrome can be reported after vaccination. This study assesses the risk of Guillain-Barré syndrome after administration of recombinant zoster vaccine (RZV or Shingrix), which is administered in 2 doses 2 to 6 months apart. OBJECTIVE Use Medicare claims data to evaluate risk of developing Guillain-Barré syndrome following vaccination with zoster vaccine. DESIGN, SETTING, AND PARTICIPANTS This case series cohort study included 849 397 RZV-vaccinated and 1 817 099 zoster vaccine live (ZVL or Zostavax)-vaccinated beneficiaries aged 65 years or older. Self-controlled analyses included events identified from 2 113 758 eligible RZV-vaccinated beneficiaries 65 years or older. We compared the relative risk of Guillain-Barré syndrome after RZV vs ZVL, followed by claims-based and medical record-based self-controlled case series analyses to assess risk of Guillain-Barré syndrome during a postvaccination risk window (days 1-42) compared with a control window (days 43-183). In self-controlled analyses, RZV vaccinees were observed from October 1, 2017, to February 29, 2020. Patients were identified in the inpatient, outpatient procedural (including emergency department), and office settings using Medicare administrative data. EXPOSURES Vaccination with RZV or ZVL vaccines. MAIN OUTCOMES AND MEASURES Guillain-Barré syndrome was identified in Medicare administrative claims data, and cases were assessed through medical record review using the Brighton Collaboration case definition. RESULTS Amongst those who received RZV vaccinees, the mean age was 74.8 years at first dose, and 58% were women, whereas among those who received the ZVL vaccine, the mean age was 74.3 years, and 60% were women. In the cohort analysis we detected an increase in risk of Guillain-Barré syndrome among RZV vaccinees compared with ZVL vaccinees (rate ratio [RR], 2.34; 95% CI, 1.01-5.41; P = .047). In the self-controlled analyses, we observed 24 and 20 cases during the risk and control period, respectively. Our claims-based analysis identified an increased risk in the risk window compared with the control window (RR, 2.84; 95% CI, 1.53-5.27; P = .001), with an attributable risk of 3 per million RZV doses (95% CI, 0.62-5.64). Our medical record-based analysis confirmed this increased risk (RR, 4.96; 95% CI, 1.43-17.27; P = .01). CONCLUSIONS AND RELEVANCE Findings of this case series cohort study indicate a slightly increased risk of Guillain-Barré syndrome during the 42 days following RZV vaccination in the Medicare population, with approximately 3 excess Guillain-Barré syndrome cases per million vaccinations. Clinicians and patients should be aware of this risk, while considering the benefit of decreasing the risk of herpes zoster and its complications through an efficacious vaccine, as risk-benefit balance remains in favor of vaccination.
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Affiliation(s)
- Ravi Goud
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | | | - Jonathan Duffy
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Barbee Whitaker
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Hui-Lee Wong
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | | | | | | | - Paula Agger
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | - Steven A Anderson
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
| | | | - Thomas E MaCurdy
- Acumen, LLC.,Department of Economics, Stanford University, Stanford, California
| | - Eric Weintraub
- Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Richard A Forshee
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland
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Cheysson F, Vibet MA, Guillemot D, Watier L. Estimation of exposure-attributable fractions from time series: A simulation study. Stat Med 2018; 37:3437-3454. [PMID: 29938833 DOI: 10.1002/sim.7818] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 04/17/2018] [Accepted: 04/22/2018] [Indexed: 11/06/2022]
Abstract
Burden analysis in public health often involves the estimation of exposure-attributable fractions from observed time series. When the entire population is exposed, the association between the exposure and outcome must be carefully modelled before the attributable fractions can be estimated. This article derives asymptotic convergences for the estimation of attributable fractions for commonly used time series models (ARMAX, Poisson, negative binomial, and Serfling), using for the most part the delta method. For the Poisson regression, the estimation of the attributable fraction is achieved by a Monte Carlo algorithm, taking into account both an estimation and a prediction error. A simulation study compares these estimations in the case of an epidemic exposure and highlights the importance of thorough analysis of the data: When the outcome is generated under an additive model, the additive models are satisfactory, and the multiplicative models are poor, and vice versa. However, the Serfling model performs poorly in all cases. Of note, a misspecification in the form or delay of the association between the exposure and the outcome leads to mediocre estimation of the attributable fraction. An application to the fraction of French outpatient antibiotic use attributable to influenza between 2003 and 2010 illustrates the asymptotic convergences. This study suggests that the Serfling model should be avoided when estimating attributable fractions while the model of choice should be selected after careful investigation of the association between the exposure and outcome.
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Affiliation(s)
- Felix Cheysson
- Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), Inserm, UVSQ, Institut Pasteur, Université Paris-Saclay, Paris, France
| | - Marie-Anne Vibet
- Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), Inserm, UVSQ, Institut Pasteur, Université Paris-Saclay, Paris, France
| | - Didier Guillemot
- Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), Inserm, UVSQ, Institut Pasteur, Université Paris-Saclay, Paris, France
| | - Laurence Watier
- Biostatistics, Biomathematics, Pharmacoepidemiology and Infectious Diseases (B2PHI), Inserm, UVSQ, Institut Pasteur, Université Paris-Saclay, Paris, France
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8
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Heeringa SG, Berglund PA, West BT, Mellipilán ER, Portier K. Attributable fraction estimation from complex sample survey data. Ann Epidemiol 2015; 25:174-8. [DOI: 10.1016/j.annepidem.2014.11.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Accepted: 11/09/2014] [Indexed: 11/26/2022]
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Nock MK, Stein MB, Heeringa SG, Ursano RJ, Colpe LJ, Fullerton CS, Hwang I, Naifeh JA, Sampson NA, Schoenbaum M, Zaslavsky AM, Kessler RC. Prevalence and correlates of suicidal behavior among soldiers: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry 2014; 71:514-22. [PMID: 24590178 PMCID: PMC4100464 DOI: 10.1001/jamapsychiatry.2014.30] [Citation(s) in RCA: 222] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE The suicide rate among US Army soldiers has increased substantially in recent years. OBJECTIVES To estimate the lifetime prevalence and sociodemographic, Army career, and psychiatric predictors of suicidal behaviors among nondeployed US Army soldiers. DESIGN, SETTING, AND PARTICIPANTS A representative cross-sectional survey of 5428 nondeployed soldiers participating in a group self-administered survey. MAIN OUTCOMES AND MEASURES Lifetime suicidal ideation, suicide plans, and suicide attempts. RESULTS The lifetime prevalence estimates of suicidal ideation, suicide plans, and suicide attempts are 13.9%, 5.3%, and 2.4%. Most reported cases (47.0%-58.2%) had pre-enlistment onsets. Pre-enlistment onset rates were lower than in a prior national civilian survey (with imputed/simulated age at enlistment), whereas post-enlistment onsets of ideation and plans were higher, and post-enlistment first attempts were equivalent to civilian rates. Most reported onsets of plans and attempts among ideators (58.3%-63.3%) occur within the year of onset of ideation. Post-enlistment attempts are positively related to being a woman (with an odds ratio [OR] of 3.3 [95% CI, 1.5-7.5]), lower rank (OR = 5.8 [95% CI, 1.8-18.1]), and previously deployed (OR = 2.4-3.7) and are negatively related to being unmarried (OR = 0.1-0.8) and assigned to Special Operations Command (OR = 0.0 [95% CI, 0.0-0.0]). Five mental disorders predict post-enlistment first suicide attempts in multivariate analysis: pre-enlistment panic disorder (OR = 0.1 [95% CI, 0.0-0.8]), pre-enlistment posttraumatic stress disorder (OR = 0.1 [95% CI, 0.0-0.7]), post-enlistment depression (OR = 3.8 [95% CI, 1.2-11.6]), and both pre- and post-enlistment intermittent explosive disorder (OR = 3.7-3.8). Four of these 5 ORs (posttraumatic stress disorder is the exception) predict ideation, whereas only post-enlistment intermittent explosive disorder predicts attempts among ideators. The population-attributable risk proportions of lifetime mental disorders predicting post-enlistment suicide attempts are 31.3% for pre-enlistment onset disorders, 41.2% for post-enlistment onset disorders, and 59.9% for all disorders. CONCLUSIONS AND RELEVANCE The fact that approximately one-third of post-enlistment suicide attempts are associated with pre-enlistment mental disorders suggests that pre-enlistment mental disorders might be targets for early screening and intervention. The possibility of higher fatality rates among Army suicide attempts than among civilian suicide attempts highlights the potential importance of means control (ie, restricting access to lethal means [such as firearms]) as a suicide prevention strategy.
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Affiliation(s)
- Matthew K. Nock
- Department of Psychology, Harvard University, Cambridge, Massachusetts
| | - Murray B. Stein
- Departments of Psychiatry and of Family and Preventive Medicine, University of California, San Diego, La Jolla3VA San Diego Healthcare System, San Diego, California
| | | | - Robert J. Ursano
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Lisa J. Colpe
- National Institute of Mental Health, Bethesda, Maryland
| | - Carol S. Fullerton
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Irving Hwang
- Department of Health Care Policy, Harvard Medical School, Boston
| | - James A. Naifeh
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston
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Kessler RC, Heeringa SG, Stein MB, Colpe LJ, Fullerton CS, Hwang I, Naifeh JA, Nock MK, Petukhova M, Sampson NA, Schoenbaum M, Zaslavsky AM, Ursano RJ. Thirty-day prevalence of DSM-IV mental disorders among nondeployed soldiers in the US Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA Psychiatry 2014; 71:504-13. [PMID: 24590120 PMCID: PMC4057988 DOI: 10.1001/jamapsychiatry.2014.28] [Citation(s) in RCA: 137] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
IMPORTANCE Although high rates of current mental disorder are known to exist in the US Army, little is known about the proportions of these disorders that had onsets prior to enlistment. OBJECTIVE To estimate the proportions of 30-day DSM-IV mental disorders among nondeployed US Army personnel with first onsets prior to enlistment and the extent which role impairments associated with 30-day disorders differ depending on whether the disorders had pre- vs post-enlistment onsets. DESIGN, SETTING, AND PARTICIPANTS A representative sample of 5428 soldiers participating in the Army Study to Assess Risk and Resilience in Servicemembers completed self-administered questionnaires and consented to linkage of questionnaire responses with administrative records. MAIN OUTCOMES AND MEASURES Thirty-day DSM-IV internalizing (major depressive, bipolar, generalized anxiety, panic, and posttraumatic stress) and externalizing (attention-deficit/hyperactivity, intermittent explosive, alcohol/drug) disorders were assessed with validated self-report scales. Age at onset was assessed retrospectively. Role impairment was assessed with a modified Sheehan Disability Scale. RESULTS A total of 25.1% of respondents met criteria for any 30-day disorder (15.0% internalizing; 18.4% externalizing) and 11.1% for multiple disorders. A total of 76.6% of cases reported pre-enlistment age at onset of at least one 30-day disorder (49.6% internalizing; 81.7% externalizing). Also, 12.8% of respondents reported severe role impairment. Controlling for sociodemographic and Army career correlates, which were broadly consistent with other studies, 30-day disorders with pre-enlistment (χ₈² = 131.8, P < .001) and post-enlistment (χ₇² = 123.8, P < .001) ages at onset both significantly predicted severe role impairment, although pre-enlistment disorders were more consistent powerful predictors (7 of 8 disorders significant; odds ratios, 1.6-11.4) than post-enlistment disorders (5 of 7 disorders significant; odds ratios, 1.5-7.7). Population-attributable risk proportions of severe role impairment were 21.7% for pre-enlistment disorders, 24.3% for post-enlistment disorders, and 43.4% for all disorders. CONCLUSIONS AND RELEVANCE Interventions to limit accession or increase resilience of new soldiers with pre-enlistment mental disorders might reduce prevalence and impairments of mental disorders in the US Army.
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Affiliation(s)
- Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | | | - Murray B. Stein
- Departments of Psychiatry and Family and Preventive Medicine, University of California–San Diego, La Jolla, and VA San Diego Healthcare System, San Diego, California
| | - Lisa J. Colpe
- National Institute of Mental Health, Bethesda, Maryland
| | - Carol S. Fullerton
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, Maryland
| | - Irving Hwang
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - James A. Naifeh
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, Maryland
| | - Matthew K. Nock
- Department of Psychology, Harvard College, Cambridge, Massachusetts
| | - Maria Petukhova
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | | | - Alan M. Zaslavsky
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Robert J. Ursano
- Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University School of Medicine, Bethesda, Maryland
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Gasparrini A, Leone M. Attributable risk from distributed lag models. BMC Med Res Methodol 2014; 14:55. [PMID: 24758509 PMCID: PMC4021419 DOI: 10.1186/1471-2288-14-55] [Citation(s) in RCA: 395] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 04/08/2014] [Indexed: 11/18/2022] Open
Abstract
Background Measures of attributable risk are an integral part of epidemiological analyses, particularly when aimed at the planning and evaluation of public health interventions. However, the current definition of such measures does not consider any temporal relationships between exposure and risk. In this contribution, we propose extended definitions of attributable risk within the framework of distributed lag non-linear models, an approach recently proposed for modelling delayed associations in either linear or non-linear exposure-response associations. Methods We classify versions of attributable number and fraction expressed using either a forward or backward perspective. The former specifies the future burden due to a given exposure event, while the latter summarizes the current burden due to the set of exposure events experienced in the past. In addition, we illustrate how the components related to sub-ranges of the exposure can be separated. Results We apply these methods for estimating the mortality risk attributable to outdoor temperature in two cities, London and Rome, using time series data for the periods 1993–2006 and 1992–2010, respectively. The analysis provides estimates of the overall mortality burden attributable to temperature, and then computes the components attributable to cold and heat and then mild and extreme temperatures. Conclusions These extended definitions of attributable risk account for the additional temporal dimension which characterizes exposure-response associations, providing more appropriate attributable measures in the presence of dependencies characterized by potentially complex temporal patterns.
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Affiliation(s)
- Antonio Gasparrini
- Department Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, WC1E 7HT, London, UK.
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The role of a lack of social integration in never having undergone breast cancer screening: results from a population-based, representative survey in the Paris metropolitan area in 2010. Prev Med 2013; 57:386-91. [PMID: 23811529 DOI: 10.1016/j.ypmed.2013.06.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2013] [Revised: 06/13/2013] [Accepted: 06/17/2013] [Indexed: 11/22/2022]
Abstract
OBJECTIVES This study aims to investigate the association between social contact and social support and women's breast cancer screening (BCS) practices, taking their socioeconomic status (SES) into account. METHODS The SIRS survey was conducted in 2010 in the Paris metropolitan area among a representative sample of 3000 French-speaking adults. For the 784 women aged 50years or older with no history of breast cancer, multivariate logistic regressions and bootstrap methods were used to analyze the factors associated with never having undergone BCS. RESULTS 6.5% of these women had never undergone BCS. In multivariate analysis, being older, having a low education level, having poor-quality health insurance, and having one or less than one social contact per 3-day period were significantly associated with never having undergone BCS during their lifetime, but the level of social support was not. The strength of the association with a low frequency of social contact tended to increase with age. CONCLUSION This study analyzed the role of social contact in social inequalities in BCS practices in the Paris metropolitan area. Like SES, social integration and social isolation should be taken into consideration by public health professionals and practitioners when planning BCS programs and incentives.
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