Smoking Is Associated With COVID-19 Progression: A Meta-analysis

Patanavanich, Roengrudee; Glantz, Stanton A.

doi:10.1093/ntr/ntaa082

Cited by 599 publications

(535 citation statements)

References 30 publications

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“…Therefore, further studies on larger cohorts are required to better elucidate this issue.. However, our nding seems to be supported by a recent meta-analysis on 11,590 COVID-19 patients, according to which smokers have higher odds of COVID-19 progression than never smokers (25). Intriguingly, all the predictors of mortality that we identi ed are linked to prothrombotic status; this might be particularly relevant in COVID-19, in which arterial and venous thrombosis seems to play a pivotal role in determining a worse prognosis (26).…”

Section: Discussionsupporting

confidence: 55%

Fatality rate and predictors of mortality in a large Italian cohort of hospitalized COVID-19 patients

Team

Sainaghi

2020

Preprint

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Substantial discrepancies are evident in the clinical features and natural history of coronavirus disease 2019 (COVID-19), among different countries, so we aimed to evaluate the fatality rate and to identify predictors of mortality in a cohort of hospitalized patients. We performed a retrospective multicenter cohort study on medical records of patients admitted between 1st March and 28th April 2020, involving three hospitals in Northern Italy. We included 1697 patients older than 18 years of age and with a confirmed diagnosis of SARS-CoV-2 infection by reverse-transcriptase polymerase chain reaction (RT-PCR). During the study period we observed 504 deaths, with a CFR of 29.7%. We further looked for predictors of mortality in a subset of 486 patients (239 males, 59%); the median age of the study population was 71 [58-80] years. Among demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model, age, the diagnosis of cancer, and the baseline PaO2/FiO2 ratio were independent predictors of mortality. During the COVID-19 outbreak, the CFR of hospitalized patients in Northern Italy was high, approaching 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.

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Section: Discussionsupporting

confidence: 55%

Fatality rate and predictors of mortality in a large Italian cohort of hospitalized COVID-19 patients

Team

Sainaghi

2020

Preprint

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“…Behavioral and lifestyle factors could also affect the vulnerability of a population to an infectious disease such as COVID-19. Obesity, in recent COVID-19 data, has been shown to be prevalent in hospitalized patients [ 7 ], and smoking has been associated with disease progression [ 25 ]. Finally, it should be noted that because the risk is unevenly distributed, shortages in hospital beds, personal protective equipment (PPE), and medications have emerged in some but not all communities [ 26 – 28 ], thereby widening disparities and exposing systemic shortcomings [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing COVID-19 risk, vulnerability and infection prevalence in communities

2020

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Background The spread of coronavirus in the United States with nearly five and half million confirmed cases and over 170,000 deaths has strained public health and health care systems. While many have focused on clinical outcomes, less attention has been paid to vulnerability and risk of infection. In this study, we developed a planning tool that examines factors that affect vulnerability to COVID-19. Methods Across 46 variables, we defined five broad categories: 1) access to medical services, 2) underlying health conditions, 3) environmental exposures, 4) vulnerability to natural disasters, and 5) sociodemographic, behavioral, and lifestyle factors. The developed tool was validated by comparing the estimated overall vulnerability with the real-time reported normalized confirmed cases of COVID-19. Analysis A principal component analysis was undertaken to reduce the dimensions. In order to identify vulnerable census tracts, we conducted rank-based exceedance and K-means cluster analyses. Results All of the 5 vulnerability categories, as well as the overall vulnerability, showed significant (P-values <<0.05) and relatively strong correlations (0.203<ρ<0.57) with the normalized confirmed cases of COVID-19 at the census tract level. Our study showed a total of 722,357 (~17% of the County population) people, including 171,403 between the ages of 45–65 (~4% of County’s population), and 76,719 seniors (~2% of County population), are at a higher risk based on the aforementioned categories. The exceedance and K-means cluster analysis demonstrated that census tracts in the northeastern, eastern, southeastern and northwestern regions of the County are at highest risk. Conclusion Policymakers can use this planning tool to identify neighborhoods at high risk for becoming hot spots; efficiently match community resources with needs, and ensure that the most vulnerable have access to equipment, personnel, and medical interventions.

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“…There have been several reviews focused on COVID-19, various forms of substance use, and SUD [20,21,22,23,24,25]. For example, one systematic review detailed COVID-19 and smoking, indicating that smoking may be associated with adverse COVID-19 outcomes [20].…”

Section: Introductionmentioning

confidence: 99%

Substance Use, and Substance Use Disorder, in Relation to COVID-19: Protocol for a Scoping Review

Kumar

Janmohamed

Nyhan

et al. 2020

Preprint

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Background: The COVID-19 pandemic is creating severe issues for healthcare and broad social structures, exposing societal vulnerabilities. Among the populations affected by COVID-19 are people engaged in substance use, such as people who smoke, vape (e-cigarette use), use opioids, cannabis, alcohol, psychoactive prescription drugs, or have a substance use disorder (SUD).Monitoring substance use and SUD during the pandemic is essential, as people who engage in substance use or present with SUD are at greater risk for COVID-19, and the economic and social changes resulting from the pandemic may aggravate SUD. There have been several reviews focused on COVID-19 inrelation to substance use and SUD. Reviews generally did not consider on a large range of substance use variants or SUDs. We plan a scoping review that seeks to fill gaps in our current understanding of substance use and SUD, in theCOVID-19 era.Methods: A scoping review focused on substance use and SUD, in relation to COVID-19, will be conducted. Databases such as MEDLINE, Embase, PsycINFO, Global Health, and Sociological Abstracts will be searched to capture current literature and preprints. Study selection will conform to Joanna Briggs Institute Reviewers’ Manual 2015 Methodology for JBI Scoping Reviews.Results: N/AConclusions: Original research is urgently needed to mitigate the risks of COVID-19 on substance use and SUD. The planned scoping review will help address this gap.Systematic Review registrations: N/A

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Smoking Is Associated With COVID-19 Progression: A Meta-analysis

Cited by 599 publications

References 30 publications

Fatality rate and predictors of mortality in a large Italian cohort of hospitalized COVID-19 patients

Fatality rate and predictors of mortality in a large Italian cohort of hospitalized COVID-19 patients

Assessing COVID-19 risk, vulnerability and infection prevalence in communities

Substance Use, and Substance Use Disorder, in Relation to COVID-19: Protocol for a Scoping Review

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