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Rubinson NG, Fong GT, Gravely S, Quah ACK, Bitan M, Lev Ari S, Rosen LJ. The association between risk perceptions, anxiety, and self-reported changes in tobacco and nicotine product use due to COVID-19 in May-June 2020 in Israel. BMC Public Health 2023; 23:759. [PMID: 37098558 PMCID: PMC10126559 DOI: 10.1186/s12889-023-15351-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 03/01/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND Early in the COVID-19 pandemic, reports about a possible protective effect of nicotine on COVID-19 conflicted with messaging by public health organizations about increased risks of COVID-19 due to smoking. The ambiguous information the public received, combined with COVID-19-induced anxiety, may have led to changes in tobacco or other nicotine product use. This study examined changes in use of combustible cigarettes (CCs), nargila (hookah/waterpipe), e-cigarettes, and IQOS and home-smoking behaviors. We also assessed COVID-19 related anxiety and perceptions regarding changes in risk of COVID-19 severity due to smoking. METHODS We used cross-sectional data from a population telephone survey that was conducted in Israel in the early phase of the COVID-19 pandemic (May-June 2020) and included 420 adult (age 18+) individuals who reported having ever used CCs (n = 391), nargila (n = 193), and/or electronic cigarettes (e-cigarettes)/heated tobacco products (e.g., IQOS) (n = 52). Respondents were asked about the effect that COVID-19 had on their nicotine product use (quit/reduced use, no change, increased use). We assessed changes in product use, risk perceptions, and anxiety using adjusted multinomial logistic regression analyses. RESULTS Most respondents did not change their frequency of product use (CCs: 81.0%, nargila: 88.2%, e-cigarettes/IQOS: 96.8%). A small percentage either decreased use (CCs: 7.2%, nargila: 3.2%, e-cigarettes/IQOS:2.4%) or increased use (CCs:11.8%, nargila:8.6%, e-cigarettes/IQOS:+ 0.9%). 55.6% of respondents used a product in the home prior to COVID-19; but during the first lockdown COVID-19 period, a greater percentage increased (12.6%) than decreased (4.0%) their home use. Higher levels of anxiety due to COVID-19 were associated with increased home smoking (aOR = 1.59, 95% CI:1.04-2.42, p = 0.02). Many respondents believed that increased severity of COVID-19 illness was associated with CCs (62.0%) and e-cigarettes/vaping (45.3%), with uncertainty about the association being lower for CCs (20.5%) than for vaping (41.3%). CONCLUSIONS While many respondents believed that nicotine product use (particularly CCs and e-cigarettes) was associated with increased risk of COVID-19 disease severity, the majority of users did not change their tobacco/nicotine use. The confusion about the relationship between tobacco use and COVID-19 calls for clear evidence-based messaging from governments. The association between home smoking and increased COVID-19-related stress suggests the need for campaigns and resources to prevent smoking in the home, particularly during times of stress.
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Affiliation(s)
- Noah G Rubinson
- School of Medicine, Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
| | - Geoffrey T Fong
- Department of Psychology, University of Waterloo, Waterloo, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
- Ontario Institute for Cancer Research, Toronto, Canada
| | - Shannon Gravely
- Department of Psychology, University of Waterloo, Waterloo, Canada
| | - Anne C K Quah
- Department of Psychology, University of Waterloo, Waterloo, Canada
| | - Michal Bitan
- Department of Computer Science, College of Management Academic Studies, Rishon LeZion, Israel
- Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
| | - Shahar Lev Ari
- Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
| | - Laura J Rosen
- Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel.
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Razjouyan J, Horstman MJ, Orkaby AR, Virani SS, Intrator O, Goyal P, Amos CI, Naik AD. Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning. Am J Cardiol 2023; 190:75-81. [PMID: 36566620 PMCID: PMC9951585 DOI: 10.1016/j.amjcard.2022.11.044] [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] [Received: 08/10/2022] [Revised: 10/13/2022] [Accepted: 11/19/2022] [Indexed: 12/24/2022]
Abstract
Frailty is associated with adverse outcomes in heart failure (HF). A parsimonious frailty index (FI) that predicts outcomes of older, multimorbid patients with HF could be a useful resource for clinicians. A retrospective study of veterans hospitalized from October 2015 to October 2018 with HF, aged ≥50 years, and discharged home developed a 10-item parsimonious FI using machine learning from diagnostic codes, laboratory results, vital signs, and ejection fraction (EF) from outpatient encounters. An unsupervised clustering technique identified 5 FI strata: severely frail, moderately frail, mildly frail, prefrail, and robust. We report hazard ratios (HRs) of mortality, adjusting for age, gender, race, and EF and odds ratios (ORs) for 30-day and 1-year emergency department visits and all-cause hospitalizations after discharge. We identified 37,431 veterans (age, 73 ± 10 years; co-morbidity index, 5 ± 3; 43.5% with EF ≤40%). All frailty groups had a higher mortality than the robust group: severely frail (HR 2.63, 95% confidence interval [CI] 2.42 to 2.86), moderately frail (HR 2.04, 95% CI 1.87 to 2.22), mildly frail (HR 1.60, 95% CI 1.47 to 1.74), and prefrail (HR 1.18, 95% CI: 1.07 to 1.29). The associations between frailty and mortality remained unchanged in the stratified analysis by age or EF. The combined (severely, moderately, and mildly) frail group had higher odds of 30-day emergency visits (OR 1.62, 95% CI 1.43 to 1.83), all-cause readmission (OR, 1.75, 95% CI 1.52 to 2.02), 1-year emergency visits (OR 1.70, 95% CI 1.53 to 1.89), rehospitalization (OR 2.18, 95% CI 1.97 to 2.41) than the robust group. In conclusion, a 10-item FI is associated with postdischarge outcomes among patients discharged home after a hospitalization for HF. A parsimonious FI may aid clinical prediction at the point of care.
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Affiliation(s)
- Javad Razjouyan
- VA HSR&D, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas; Department of Medicine, Baylor College of Medicine, Houston, Texas; Big Data Scientist Training Enhancement Program, VA Office of Research and Development, Washington, District of Columbia.
| | - Molly J Horstman
- VA HSR&D, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas; Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Ariela R Orkaby
- New England Geriatrics Research, Education, and Clinical Center, VA Boston Health Care System, Boston Massachusetts; Brigham and Women's Hospital, Harvard Medical School, Boston Massachusetts
| | - Salim S Virani
- VA HSR&D, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas; Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Orna Intrator
- Geriatrics and Extended Care Data Analysis Center, Veterans Health Administration, Canandaigua, New York; University of Rochester, Rochester, New York
| | - Parag Goyal
- Division of General Internal Medicine, Department of Medicine, Weill Medical College of Cornell University, New York, New York; Division of Cardiology, Department of Medicine, Weill Medical College of Cornell University, New York, New York
| | | | - Aanand D Naik
- VA HSR&D, Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, Texas; Department of Medicine, Baylor College of Medicine, Houston, Texas; Big Data Scientist Training Enhancement Program, VA Office of Research and Development, Washington, District of Columbia; Department of Management, Policy, and Community Health, School of Public Health, University of Texas Health Science Center, Houston, TX; UTHealth Consortium on Aging, University of Texas Health Science Center, Houston, TX
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Park C, Tavakoli-Tabasi S, Sharafkhaneh A, Seligman BJ, Hicken B, Amos CI, Chou A, Razjouyan J. Inflammatory Biomarkers Differ among Hospitalized Veterans Infected with Alpha, Delta, and Omicron SARS-CoV-2 Variants. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2987. [PMID: 36833680 PMCID: PMC9959816 DOI: 10.3390/ijerph20042987] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 05/14/2023]
Abstract
Mortality due to COVID-19 has been correlated with laboratory markers of inflammation, such as C-reactive protein (CRP). The lower mortality during Omicron variant infections could be explained by variant-specific immune responses or host factors, such as vaccination status. We hypothesized that infections due to Omicron variant cause less inflammation compared to Alpha and Delta, correlating with lower mortality. This was a retrospective cohort study of veterans hospitalized for COVID-19 at the Veterans Health Administration. We compared inflammatory markers among patients hospitalized during Omicron infection with those of Alpha and Delta. We reported the adjusted odds ratio (aOR) of the first laboratory results during hospitalization and in-hospital mortality, stratified by vaccination status. Of 2,075,564 Veterans tested for COVID-19, 29,075 Veterans met the criteria: Alpha (45.1%), Delta (23.9%), Omicron (31.0%). Odds of abnormal CRP in Delta (aOR = 1.85, 95% CI:1.64-2.09) and Alpha (aOR = 1.94, 95% CI:1.75-2.15) were significantly higher compared to Omicron. The same trend was observed for Ferritin, Alanine aminotransferase, Aspartate aminotransferase, Lactate dehydrogenase, and Albumin. The mortality in Delta (aOR = 1.92, 95% CI:1.73-2.12) and Alpha (aOR = 1.68, 95% CI:1.47-1.91) were higher than Omicron. The results remained significant after stratifying the outcomes based on vaccination status. Veterans infected with Omicron showed milder inflammatory responses and lower mortality than other variants.
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Affiliation(s)
- Catherine Park
- VA’s Health Services Research and Development Service (HSR&D), Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
- Big Data Scientist Training Enhancement Program, VA Office of Research and Development, Washington, DC 20420, USA
- VA Quality Scholars Coordinating Center, IQuESt, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
| | | | - Amir Sharafkhaneh
- VA’s Health Services Research and Development Service (HSR&D), Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Benjamin J. Seligman
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90024, USA
| | - Bret Hicken
- VHA Office of Rural Health, Veterans Rural Health Resource Center, Salt Lake City, UT 84148, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT 84148, USA
| | | | - Andrew Chou
- VA’s Health Services Research and Development Service (HSR&D), Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
- Section of Infectious Diseases, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Javad Razjouyan
- VA’s Health Services Research and Development Service (HSR&D), Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
- Big Data Scientist Training Enhancement Program, VA Office of Research and Development, Washington, DC 20420, USA
- VA Quality Scholars Coordinating Center, IQuESt, Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
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Patanavanich R, Siripoon T, Amponnavarat S, Glantz SA. Active Smokers Are at Higher Risk of COVID-19 Death: A Systematic Review and Meta-analysis. NICOTINE & TOBACCO RESEARCH : OFFICIAL JOURNAL OF THE SOCIETY FOR RESEARCH ON NICOTINE AND TOBACCO 2023; 25:177-184. [PMID: 35363877 DOI: 10.1093/ntr/ntac085] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/08/2022] [Accepted: 03/29/2022] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Current evidence indicates that smoking worsens COVID-19 outcomes. However, when studies restricted their analyses to current smokers, the risks for COVID-19 severity and death are inconsistent. AIMS AND METHODS This meta-analysis explored the association between current smoking and the risk for mortality based on the studies that reported all three categories of smoking (current, former, and never smokers) to overcome the limitation of the previous meta-analyses which former smokers might have been classified as nonsmokers. We searched PubMed and Embase up to January 1, 2021. We included studies reporting all three categories of smoking behaviors of COVID-19 patients and mortality outcomes. A random-effects meta-analysis and meta-regression were used to examine relationships in the data. RESULTS A total of 34 articles with 35 193 COVID-19 patients was included. The meta-analysis confirmed the association between current smoking (odds ratio [OR] 1.26, 95% confidence interval [CI]: 1.01-1.58) and former smoking (OR 1.76, 95% CI: 1.53-2.03) with COVID-19 mortality. We also found that the risk for COVID-19 death in current smokers does not vary by age, but significantly drops by age in former smokers. Moreover, current smokers in non-high-income countries have higher risks of COVID-19 death compared with high-income countries (OR 3.11, 95% CI: 2.04-4.72 vs. OR 1.14, 95% CI: 0.91-1.43; p = .015). CONCLUSIONS Current and former smokers are at higher risk of dying from COVID-19. Tobacco control should be strengthened to encourage current smokers to quit and prevent the initiation of smoking. Public health professionals should take the COVID-19 pandemic as an opportunity to promote smoking prevention and cession. IMPLICATIONS This study makes an important contribution to the existing literature by distinguishing between current and former smoking and their separate effects on COVID-19 mortality. We also explore the effects by age of patients and country income level. Findings from this study provide empirical evidence against misinformation about the relationship between smoking and COVID-19 mortality.
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Affiliation(s)
- Roengrudee Patanavanich
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Tanatorn Siripoon
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Salin Amponnavarat
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Stanton A Glantz
- Center for Tobacco Control Research and Education (retired), University of California San Francisco, San Francisco, CA, USA
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Piasecki TM, Smith SS, Baker TB, Slutske WS, Adsit RT, Bolt DM, Conner KL, Bernstein SL, Eng OD, Lazuk D, Gonzalez A, Jorenby DE, D’Angelo H, Kirsch JA, Williams BS, Nolan MB, Hayes-Birchler T, Kent S, Kim H, Lubanski S, Yu M, Suk Y, Cai Y, Kashyap N, Mathew JP, McMahan G, Rolland B, Tindle HA, Warren GW, An LC, Boyd AD, Brunzell DH, Carrillo V, Chen LS, Davis JM, Deshmukh VG, Dilip D, Ellerbeck EF, Goldstein AO, Iturrate E, Jose T, Khanna N, King A, Klass E, Mermelstein RJ, Tong E, Tsoh JY, Wilson KM, Theobald WE, Fiore MC. Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study. Nicotine Tob Res 2022; 25:1184-1193. [PMID: 36069915 PMCID: PMC9494410 DOI: 10.1093/ntr/ntac201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 07/05/2022] [Accepted: 08/17/2022] [Indexed: 11/14/2022]
Abstract
INTRODUCTION Available evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown. METHODS Electronic health record data from 104 590 COVID-19 patients hospitalized February 1, 2020 to September 30, 2021 in 21 U.S. health systems were analyzed to assess associations of smoking status, in-hospital NRT prescription, and vaccination status with in-hospital death and ICU admission. RESULTS Current (n = 7764) and never smokers (n = 57 454) did not differ on outcomes after adjustment for age, sex, race, ethnicity, insurance, body mass index, and comorbidities. Former (vs never) smokers (n = 33 101) had higher adjusted odds of death (aOR, 1.11; 95% CI, 1.06-1.17) and ICU admission (aOR, 1.07; 95% CI, 1.04-1.11). Among current smokers, NRT prescription was associated with reduced mortality (aOR, 0.64; 95% CI, 0.50-0.82). Vaccination effects were significantly moderated by smoking status; vaccination was more strongly associated with reduced mortality among current (aOR, 0.29; 95% CI, 0.16-0.66) and former smokers (aOR, 0.47; 95% CI, 0.39-0.57) than for never smokers (aOR, 0.67; 95% CI, 0.57, 0.79). Vaccination was associated with reduced ICU admission more strongly among former (aOR, 0.74; 95% CI, 0.66-0.83) than never smokers (aOR, 0.87; 95% CI, 0.79-0.97). CONCLUSIONS Former but not current smokers hospitalized with COVID-19 are at higher risk for severe outcomes. SARS-CoV-2 vaccination is associated with better hospital outcomes in COVID-19 patients, especially current and former smokers. NRT during COVID-19 hospitalization may reduce mortality for current smokers. IMPLICATIONS Prior findings regarding associations between smoking and severe COVID-19 disease outcomes have been inconsistent. This large cohort study suggests potential beneficial effects of nicotine replacement therapy on COVID-19 outcomes in current smokers and outsized benefits of SARS-CoV-2 vaccination in current and former smokers. Such findings may influence clinical practice and prevention efforts and motivate additional research that explores mechanisms for these effects.
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Affiliation(s)
- Thomas M Piasecki
- Corresponding Author: Thomas M. Piasecki, PhD, Center for Tobacco Research and Intervention, University of Wisconsin School of Medicine and Public Health, 1930 Monroe St., Suite 200, Madison, WI 53711, USA. Telephone: +1 (608) 262-8673.
| | - Stevens S Smith
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Timothy B Baker
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Wendy S Slutske
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Robert T Adsit
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Daniel M Bolt
- Department of Educational Psychology, University of Wisconsin–Madison, Madison, WI, USA
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Karen L Conner
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Steven L Bernstein
- Department of Emergency Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Oliver D Eng
- Institute for Clinical and Translational Research, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - David Lazuk
- Yale-New Haven Health System, New Haven, CT, USA
| | - Alec Gonzalez
- BlueTree Network, a Tegria Company, Madison, WI, USA
| | - Douglas E Jorenby
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Heather D’Angelo
- Carbone Cancer Center, University of Wisconsin–Madison, Madison, WI, USA
| | - Julie A Kirsch
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Brian S Williams
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Margaret B Nolan
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Todd Hayes-Birchler
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Sean Kent
- Department of Statistics, University of Wisconsin–Madison, Madison, WI, USA
| | - Hanna Kim
- Department of Educational Psychology, University of Wisconsin–Madison, Madison, WI, USA
| | | | - Menggang Yu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - Youmi Suk
- Department of Human Development, Teachers College Columbia University, New York, NY, USA
| | - Yuxin Cai
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Nitu Kashyap
- Yale-New Haven Health System, New Haven, CT, USA
- Yale School of Medicine, New Haven, CT, USA
| | - Jomol P Mathew
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Gabriel McMahan
- Department of Statistics, University of Wisconsin–Madison, Madison, WI, USA
| | - Betsy Rolland
- Institute for Clinical and Translational Research, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Carbone Cancer Center, University of Wisconsin–Madison, Madison, WI, USA
| | - Hilary A Tindle
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Graham W Warren
- Department of Radiation Oncology, Medical University of South Carolina, Charleston, SC, USA
| | - Lawrence C An
- Division of General Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Andrew D Boyd
- Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA
| | | | - Victor Carrillo
- Hackensack Meridian Health, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Li-Shiun Chen
- Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - James M Davis
- Duke Cancer Institute and Duke University Department of Medicine, Durham, NC, USA
| | | | - Deepika Dilip
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edward F Ellerbeck
- Department of Population Health, University of Kansas Medical Center, Kansas City, MO, USA
| | - Adam O Goldstein
- Department of Family Medicine and Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | | | - Thulasee Jose
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | - Niharika Khanna
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrea King
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago Comprehensive Cancer Center, Chicago, IL, USA
| | - Elizabeth Klass
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robin J Mermelstein
- Department of Psychology and Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USA
| | - Elisa Tong
- Department of Internal Medicine, University of California Davis, Davis, CA, USA
| | - Janice Y Tsoh
- Department of Psychiatry and Behavioral Sciences, Hellen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Karen M Wilson
- Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Wendy E Theobald
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
| | - Michael C Fiore
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
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Le Guen CL, Muir KC, Simons M, Coffman DL, Soans RS. The Impact of Smoking Status and Smoking-Related Comorbidities on Coronavirus Disease 2019 Patient Outcomes: A Causal Mediation Analysis. Nicotine Tob Res 2022; 25:331-338. [PMID: 35952390 PMCID: PMC9384707 DOI: 10.1093/ntr/ntac193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/21/2022] [Accepted: 08/09/2022] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Smoking history is a known risk factor for significant chronic diseases as well as pulmonary infections; however, the impact of smoking status on coronavirus disease 2019 (COVID-19) outcomes has not been conclusively characterized. This study aims to evaluate the association of smoking status on COVID-19 outcomes, and to explore the mechanism by which smoking and smoking-related comorbidities relate to COVID-19 outcomes. AIMS AND METHODS Patients admitted with SARS-CoV-2 infection from November 2020 through January 2021 were included in this study. Causal mediation models investigating the associations between smoking status and the outcomes of mortality, intensive care unit (ICU) admission, advanced respiratory support, mechanical ventilation, ICU length of stay, and hospital length of stay, through mediation via smoking-related comorbidities, were examined. RESULTS Active smokers did not experience worse COVID-19 outcomes once hospitalized. Former smokers had a higher odds of mortality (total effect OR 1.59, 95% CI 1.07 to 2.38, p = .01; indirect effect OR 1.45, 95% CI 1.09 to 1.93, p < .001), and advanced respiratory support (total effect OR 1.31, 95% CI 1.04 to 1.67, p = .02; indirect effect OR 1.26, 95% CI 1.03 to 1.54, p = .02), which were mediated by smoking-related comorbidities. While there was a nonsignificant increase in the total effect for mechanical ventilation, smoking-related comorbidities were significant mediators for their increased need (total effect OR 1.40, 95% CI 0.92 to 2.14, p = .13; indirect effect OR 1.47, 95% CI 1.10 to 1.87, p < .001). CONCLUSIONS Although active smokers did not experience worse COVID-19 outcomes compared to never smokers, these results should be interpreted with caution. Compared to never smokers, former smokers had greater odds of mortality, advanced respiratory support, and mechanical ventilation which was significantly mediated through smoking-related comorbidities. IMPLICATIONS Previous studies have linked smoking status with worse COVID-19 outcomes, and have inferred that smoking-related comorbidities may play a role in these findings. This causal mediation analysis provides statistical evidence supporting this hypothesis, clarifying the risk that smoking-related comorbidities impart on COVID-19 outcomes in those with a smoking history.
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Affiliation(s)
- Claire L Le Guen
- Corresponding author information: Claire Le Guen, MD Temple University Hospital 3401 North Broad Street Parkinson Pavilion 4th Floor Suite 410, Philadelphia, PA 19140 Ph: +001 267-858-9932
| | | | | | - Donna L Coffman
- Department of Biostatistics and Epidemiology, Temple University
| | - Rohit S Soans
- Lewis Katz School of Medicine, Temple University,Department of Bariatric and Minimally Invasive Surgery, Temple University Hospital
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Assessing Smoking Status and Risk of SARS-CoV-2 Infection: A Machine Learning Approach among Veterans. Healthcare (Basel) 2022; 10:healthcare10071244. [PMID: 35885771 PMCID: PMC9319659 DOI: 10.3390/healthcare10071244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 12/30/2022] Open
Abstract
The role of smoking in the risk of SARS-CoV-2 infection is unclear. We used a retrospective cohort design to study data from veterans’ Electronic Medical Record to assess the impact of smoking on the risk of SARS-CoV-2 infection. Veterans tested for the SARS-CoV-2 virus from 02/01/2020 to 02/28/2021 were classified as: Never Smokers (NS), Former Smokers (FS), and Current Smokers (CS). We report the adjusted odds ratios (aOR) for potential confounders obtained from a cascade machine learning algorithm. We found a 19.6% positivity rate among 1,176,306 veterans tested for SARS-CoV-2 infection. The positivity proportion among NS (22.0%) was higher compared with FS (19.2%) and CS (11.5%). The adjusted odds of testing positive for CS (aOR:0.51; 95%CI: 0.50, 0.52) and FS (aOR:0.89; 95%CI:0.88, 0.90) were significantly lower compared with NS. Four pre-existing conditions, including dementia, lower respiratory infections, pneumonia, and septic shock, were associated with a higher risk of testing positive, whereas the use of the decongestant drug phenylephrine or having a history of cancer were associated with a lower risk. CS and FS compared with NS had lower risks of testing positive for SARS-CoV-2. These findings highlight our evolving understanding of the role of smoking status on the risk of SARS-CoV-2 infection.
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Efird JT, Anderson EJ, Jindal C, Redding TS, Thompson AD, Press AM, Upchurch J, Williams CD, Choi YM, Suzuki A. The Interaction of Vitamin D and Corticosteroids: A Mortality Analysis of 26,508 Veterans Who Tested Positive for SARS-CoV-2. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:447. [PMID: 35010701 PMCID: PMC8744830 DOI: 10.3390/ijerph19010447] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/21/2021] [Accepted: 12/28/2021] [Indexed: 12/15/2022]
Abstract
This data-based cohort consisted of 26,508 (7%) United States veterans out of the 399,290 who tested positive for SARS-CoV-2 from 1 March to 10 September 2020. We aimed to assess the interaction of post-index vitamin D (Vit D) and corticosteroid (CRT) use on 30-day mortality among hospitalized and non-hospitalized patients with coronavirus disease 2019 (COVID-19). Combination Vit D and CRT drug use was assessed according to four multinomial pairs (-|+, -|-, +|+, +|-). Respective categorical effects were computed on a log-binomial scale as adjusted relative risk (aRR). Approximately 6% of veterans who tested positive for SARS-CoV-2 died within 30 days of their index date. Among hospitalized patients, a significantly decreased aRR was observed for the use of Vit D in the absence of CRTs relative to patients who received CRTs but not Vit D (aRR = 0.30; multiplicity corrected, p = 0.0004). Among patients receiving systemically administered CRTs (e.g., dexamethasone), the use of Vit D was associated with fewer deaths in hospitalized patients (aRR = 0.51) compared with non-hospitalized patients (aRR = 2.5) (P-for-Interaction = 0.0071). Evaluating the effect of modification of these compounds in the context of hospitalization may aid in the management of COVID-19 and provide a better understanding of the pathophysiological mechanisms underlying this and future infectious disease outbreaks.
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Affiliation(s)
- Jimmy T. Efird
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
| | | | - Charulata Jindal
- Harvard Medical School, Harvard University, Boston, MA 02115, USA;
| | - Thomas S. Redding
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
| | - Andrew D. Thompson
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
| | - Ashlyn M. Press
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
| | - Julie Upchurch
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
| | - Christina D. Williams
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
- Department of Medicine, Duke University, Durham, NC 27710, USA
- Duke Cancer Institute, Duke University, Durham, NC 27710, USA
| | | | - Ayako Suzuki
- Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC 27705, USA; (T.S.R.); (A.D.T.); (A.M.P.); (J.U.); (C.D.W.); (A.S.)
- Division of Gastroenterology, Duke University, Durham, NC 27710, USA
- The Division of Gastroenterology, Durham VA Medical Center, Durham, NC 27705, USA
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