Smoking is Associated with COVID-19 Progression: A Meta-Analysis

The association between tobacco use and COVID-19 in Qatar

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Tobacco smoking prevalence in the total sample was only 11.0%

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Smokeless tobacco users may be at an increased risk for severe disease.

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Smoking was not associated with an increased risk of greater disease severity.

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Increased age and co-morbidities were the most important risk factors for severity.

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Considering limitations, COVID-19 severity may be affected by other factors.

The effects of smoking on COVID-19 are controversial. Some studies show no link between smoking and severe COVID-19, whereas others demonstrate a significant link. This cross-sectional study aims to determine the prevalence of tobacco use among COVID-19 patients, examine the relationship between tobacco use and hospitalized COVID-19 (non-severe and severe), and quantify its risk factors. A random sample of 7430 COVID-19 patients diagnosed between 27 February-30 May 2020 in Qatar were recruited over the telephone to complete an interviewer-administered questionnaire. The prevalence of tobacco smoking in the total sample was 11.0%, with 12.6% among those quarantined, 5.7% among hospitalized patients, and 2.5% among patients with severe COVID-19. Smokeless tobacco and e-cigarette use were reported by 3.2% and 0.6% of the total sample, respectively. We found a significant lower risk for hospitalization and severity of COVID-19 among current tobacco smokers (p < 0.001) relative to non-smokers (never and ex-smokers). Risk factors significantly related to an increased risk of being hospitalized with COVID-19 were older age (aged 55 + ), being male, non-Qatari, and those with heart disease, hypertension, diabetes, asthma, cancer, and chronic renal disease. Smokeless tobacco use, older age (aged 55 + ), being male, non-Qatari, previously diagnosed with heart disease and diabetes were significant risk factors for severe COVID-19. Our data suggests that only smokeless tobacco users may be at an increased risk for severe disease, yet this requires further investigation as other studies have reported smoking to be associated with an increased risk of greater disease severity.

A rapidly changing understanding of COPD: World COPD Day from the COPD Foundation

World COPD Day raises awareness about chronic obstructive pulmonary disease (COPD). COPD accounts for over 150,000 US deaths per year. A major challenge is that COPD receives only a fraction of the research funding provided to other major diseases. Control of COPD is dependent on developing new approaches to diagnose the disease earlier with a recognition of either pre-COPD or established COPD based on symptoms, lung structural change and/or loss of lung function that occurs before meeting long established criteria for a population-based definition of obstruction. Optimization of current therapies improves lung function, exercise capacity, quality of life, and survival. New pathways of disease progression are being identified creating new opportunities for development of therapies that could stop or cure this disease.

Antecedents and Consequences of Smoking Cessation Intention in the Context of the Global COVID-19 Infodemic

A growing body of scientific studies has been published to inform responses to the ongoing coronavirus pandemic, and some have claimed that cigarette smoking has a beneficial or mixed effect on the prevention and treatment of COVID-19. The presentation of such findings, unfortunately, has created an infodemic. This study integrated the theory of planned behavior and the health belief model and incorporated findings on addiction from the medical literature to predict cessation intention and support for tobacco control measures in the context of the COVID-19 infodemic. The study found that cessation intention partially mediated the effect of perceived severity and fully mediated the effects of perceived benefits, self-efficacy, and addiction on support for control measures. In addition, a positively-valenced message of the effect of smoking on the prevention and treatment of COVID-19 vs. a mixedly-valenced message was significant in predicting cessation intention, and the positively-valenced message of smoking indirectly predicted support for tobacco control measures. Perceived susceptibility, barriers, and subjective norms, however, exerted neither direct nor indirect effects on the two outcome variables.

Systematic review with meta-analysis of the epidemiological evidence in Europe, Israel, America and Australasia on smoking and COVID-19

BACKGROUND

Previous meta-analyses related smoking to death or severe infection from coronavirus disease 2019 (COVID-19) in hospitalized patients, but considered only a few studies, did not adjust for demographics and comorbidities, and inadequately defined smoking.

AIM

To review and meta-analyse epidemiological evidence on smoking and COVID-19, considering a range of endpoints, populations and smoking definitions and the effect of adjustment.

METHODS

Studies were identified from publications in English up to 30 September, 2020 involving at least 100 individuals, carried out in Europe, Israel, America or Australasia, not restricted to those with specific other diseases, and providing information relating smoking to various COVID-related endpoints. Meta-analyses were carried out for combinations of population and endpoint, with variation studied by smoking definition, adjustment level and other factors.

RESULTS

From 96 publications, 74 studies were identified, 37 in the United States, 10 in the United Kingdom, with up to four in the other countries. Three involved over a million individuals, and 37 involved less than a thousand. Adjusted results for smoking were available in 42 studies, with adjustment not considered in 20 studies. Results were considered by endpoint. No significant effect of smoking on COVID-19 positivity was seen in the general population, but there was a reduced risk in those tested. Best-adjusted estimates for current (vs never) smoking were 0.87 (95% confidence interval: 0.52-1.47) in the general population and 0.52 (0.43-0.64) in those tested. For those hospitalized due to COVID-19, unadjusted rates were significantly increased in current smokers (1.20, 1.01-1.42) and ever smokers (1.64, 1.41-1.91), but those adjusted for comorbidities showed no increase for current (0.82, 0.52-1.30) or ever smokers (1.00, 0.76-1.32). There was little evidence to suggest that smoking was associated with intensive care admission. For those hospitalized with COVID-19, best-adjusted estimates were 0.88 (0.72-1.08) for current smokers and 1.10 (0.99-1.22) for ever smokers. In those hospitalized with COVID-19, smoking was not significantly related to subsequent mechanical ventilation, with best-adjusted estimates of 1.12 (0.60-2.09) for current smokers and 1.05 (0.88-1.25) for ever smokers. For those hospitalized with severe COVID-19, best-adjusted estimates were 0.74 (0.49-1.12) for current smokers and 1.15 (0.87-1.51) for ever smokers; few estimates were adjusted for comorbidities. While smoking was associated with increased mortality in unadjusted analyses, the association disappeared after adjustment for comorbidities. For example, in those hospitalized with COVID-19, the unadjusted estimate for ever smokers of 1.59 (1.37-1.83) reduced to 1.07 (0.82-1.38) when adjusted for comorbidities. Studies on those with severe COVID-19 showed that smoking tended to be associated with worsening of the disease. However, no estimate was adjusted, even for demographics. Estimates did not clearly vary by location or study size, and there was too little evidence to usefully study variations by age, amount smoked or years quit.

CONCLUSION

The increased COVID-19 death rate in smokers seen in unadjusted analyses disappears following adjustment for demographics and comorbidities. Among those tested, smoking is associated with lower COVID-19 infection rates.

COVID-19 and the Opioid Epidemic: Two Public Health Emergencies That Intersect With Chronic Pain

The COVID-19 pandemic has affected the entire world and catapulted the United States into one of the deepest recessions in history. While this pandemic rages, the opioid crisis worsens. During this period, the pandemic has resulted in the decimation of most conventional medical services, including those of chronic pain management, with the exception of virtual care and telehealth. Many chronic pain patients have been impacted in numerous ways, with increases in cardiovascular disease, mental health problems, cognitive dysfunction, and early death. The epidemic has also resulted in severe economic and physiological consequences for providers. Drug deaths in America, which fell for the first time in 25 years in 2018, rose to record numbers in 2019 and are continuing to climb, worsened by the coronavirus pandemic. The opioid epidemic was already resurfacing with a 5% increase in overall deaths from 2018; however, the preliminary data show that prescription opioid deaths continued to decline, while at the same time deaths due to fentanyl, methamphetamine, and cocaine climbed, with some reductions in heroin deaths. The health tracker data also showed that along with an almost 88% decline in elective surgeries, pain-related prescriptions declined 15.1%. Despite increases in telehealth, outpatient services declined and only began returning towards normal at an extremely slow pace, accompanied by reduced productivity and increased practice costs. This review, therefore, emphasizes the devastating consequences of concurrent epidemics on chronic pain management and the need to develop best practice efforts to preserve access to treatment for chronic pain.

Prevalence of anxiety and depression during COVID-19 pandemic among healthcare students in Jordan and its effect on their learning process: A national survey

RATIONAL

During pandemics, including the most recent COVID-19 pandemic, the mental health of university healthcare students' is expected to be affected negatively, impacting the students' learning process.

OBJECTIVES

The aim of this study was to assess the level of anxiety and depression of healthcare students living in Jordan, and the effect on their learning process during the COVID-19 pandemic.

METHODS

This descriptive cross-sectional study was conducted via an online survey completed by students studying a healthcare-oriented degree in a university in Jordan. Participants were recruited through social media (Facebook and WhatsApp). The validated previously published Hospital Anxiety and Depression Scale (HADS) questionnaire was used as a part of the online survey to assess students' anxiety/depression scores. Students' responses regarding their learning process during the COVID-19 was also assessed.

RESULTS

The mean age of participants was 21.62 (SD = 4.90), with the majority being females (67.1%). The HADs' assessment revealed that 43.8% and 40.0% of participants had normal anxiety and depression scores, while 22.4% showed borderline abnormal anxiety/depression scores (33.8%). Many students (33.8%) were classified to have abnormal anxiety scores, while a smaller proportion (26.2%) was classified to have abnormal depression scores. Smoking (p = 0.022), lower family income (p = 0.039), and use of medications (p = 0.032) were positively associated with higher (worse) anxiety scores. Ranking the learning process during COVID-19 showed that 45.8% of the participants believed it was a 'good/very good/excellent' process.

CONCLUSIONS

Anxiety and depression levels amongst university healthcare students in Jordan were found to be high when assessed during the COVID-19 pandemic. In addition, the learning process during the pandemic was not accepted by more than half of the students. Implementing psychological interventions for healthcare students during pandemics is strongly recommended in order to optimize students' mental health and their learning process alike.

Substance use and substance use disorder, in relation to COVID-19: protocol for a scoping review

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, or 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 in relation 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 the COVID-19 era.

METHODS

A scoping review focused on substance use and SUD, in relation to COVID-19, will be conducted. We will search (from January 2020 onwards) Cumulative Index to Nursing and Allied Health Literature, Africa-Wide Information, Web of Science Core Collection, Embase, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, PsycINFO, PubMed, Middle Eastern Central Asian Studies, CINAHL Complete, and Sociological Abstracts. Grey literature will be identified using Disaster Lit, Google Scholar, HSRProj, governmental websites, and clinical trials registries (e.g., ClinicalTrial.gov , World Health Organization, International Clinical Trials Registry Platform and International Standard Randomized Con-trolled Trial Number registry). Study selection will conform to Joanna Briggs Institute Reviewers' Manual 2015 Methodology for JBI Scoping Reviews. Only English language, original studies investigating substance use and SUD, in relation to COVID-19 in all populations and settings, will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g., frequencies) and qualitative (e.g., content and thematic analysis) methods.

DISCUSSION

Original research is urgently needed to mitigate the risks of COVID-19 on substance use and SUD. The planned scoping review will help to address this gap.

SYSTEMATIC REVIEW REGISTRATION

Open Science Framework (osf/io/tzgm5).

Which Factors, Smoking, Drinking Alcohol, Betel Quid Chewing, or Underlying Diseases, Are More Likely to Influence the Severity of COVID-19?

The global outbreak of the coronavirus disease 2019 (COVID-19) pandemic occurred in late 2019 and early 2020. The factors that influence disease severity should be of clinical concern. Existing findings on the effects of smoking on COVID-19 are also controversial and need to be confirmed by further research. In addition, the effects of alcohol consumption and betel quid (BQ) chewing on COVID-19 are unclear. The aim of this study was to examine the demographic characteristics of COVID-19 patients and the effects of smoking, drinking, BQ chewing, and underlying diseases on the severity of COVID-19. A retrospective study was conducted on 91 patients with confirmed cases of COVID-19 hospitalized in Yueyang, Hunan Province, China from 21 January to 8 March, 2020. Patient demographic data, and information on smoking, drinking and BQ chewing, and underlying diseases were extracted from the patient electronic medical records (EMR) and telephone interviews. The chi-square test was used to conduct a univariate analysis of the factors influencing the severity of COVID-19, and ordinal logistic regression analysis was used to identify the factors related to the severity of COVID-19. The results showed that the rates of smoking, drinking and BQ chewing were 15.4, 26.4, and 7.1%, respectively, there was no significant relationship between these lifestyle factors and the severity of COVID-19 (P > 0.05). However, underlying diseases such as diabetes [odds ratio (OR) = 7.740, 95% confidence interval (CI):1.000-60.740, P = 0.050], source of infection (OR = 0.180, 95% CI: 0.030-0.980, P = 0.049), and employment status (retired/unemployed vs. employed: OR = 29.430, 95% CI, 1.050 - 822.330, P = 0.047) were significant independent predictors of severe COVID-19 infection. These individuals should be informed of methods to increase personal protection, and doctors should prevent these individuals from developing serious diseases. It is important to pay attention to the source of infection and timely medical treatment. This study showed that the clinical classification of COVID-19 was associated with patients with diabetes, source of infection, and retired/unemployed. Therefore in the clinical practice of COVID-19 should be more concern these factors. Although no statistical significance was found in smoking, drinking alcohol, BQ chewing, and severity of COVID-19 patients, more studies have confirmed that are harmful and risk factors for underlying diseases in the population. Health authorities should formulate policies to publicize the harmful effects of smoking, drinking, and betel nut chewing and promote a healthy lifestyle.

Clinico-demographic profile & hospital outcomes of COVID-19 patients admitted at a tertiary care centre in north India

BACKGROUND & OBJECTIVES

In December 2019, a novel coronavirus (SARS-CoV-2) emerged in China and rapidly spread globally including India. The characteristic clinical observations and outcomes of this disease (COVID-19) have been reported from different countries. The present study was aimed to describe the clinico-demographic characteristics and in-hospital outcomes of a group of COVID-19 patients in north India.

METHODS

This was a prospective, single-centre collection of data regarding epidemiological, demographic, clinical and laboratory parameters, management and outcome of COVID-19 patients admitted in a tertiary care facility in north India. Patient outcomes were recorded as death, discharge and still admitted.

RESULTS

Data of 144 patients with COVID-19 were recorded and analyzed. The mean age of the patients was 40.1±13.1 yr, with 93.1 per cent males, and included 10 (6.9%) foreign nationals. Domestic travel to or from affected States (77.1%) and close contact with COVID-19 patients in congregations (82.6%) constituted the most commonly documented exposure. Nine (6.3%) patients were smokers, with a median smoking index of 200. Comorbidities were present in 23 (15.9%) patients, of which diabetes mellitus (n=16; 11.1%) was the most common. A significant proportion of patients had no symptoms (n=64; 44.4%); among the symptomatic, cough (34.7%) was the most common symptom followed by fever (17.4%) and nasal symptoms (2.15%). Majority of the patients were managed with supportive treatment with hydroxychloroquine and azithromycin given on a case-to-case basis. Only five (3.5%) patients required oxygen supplementation, four (2.8%) patients had severe disease requiring intensive care, one required mechanical ventilation and mortality occurred in two (1.4%) patients. The time to reverse transcription-polymerase chain reaction (RT-PCR) negativity was 16-18 days.

INTERPRETATION & CONCLUSIONS

In this single-centre study of 144 hospitalized patients with confirmed COVID-19 in north India, the characteristic findings included younger age, high proportion of asymptomatic patients, long time to PCR negativity and low need for intensive care unit care.

Smoking is associated with worse outcomes of COVID-19 particularly among younger adults: A systematic review and meta-analysis

BACKGROUND

Smoking impairs lung immune functions and damages upper airways, increasing risks of contracting and severity of infectious diseases.

METHODS

We searched PubMed and Embase for studies published from January 1-May 25, 2020. We included studies reporting smoking behavior of COVID-19 patients and progression of disease, including death. We used a random effects meta-analysis and used meta-regression and lowess regressions to examine relationships in the data.

RESULTS

We identified 47 peer-reviewed papers with a total of 31,871 COVID-19 patients, 5,759 (18.1%) experienced disease progression and 5,734 (18.0%) with a history of smoking. Among smokers, 29.2% experienced disease progression, compared with 21.1% of non-smokers. The meta-analysis confirmed an association between smoking and COVID-19 progression (OR 1.56, 95% CI 1.32-1.83, p=0.001). Smoking was associated with increased risk of death from COVID-19 (OR 1.19, 95% CI 1.05-1.34, p=0.007). We found no significant difference (p=0.432) between the effects of smoking on COVID-19 disease progression between adjusted and unadjusted analyses, suggesting that smoking is an independent risk factor for COVID-19 disease progression. We also found the risk of having COVID-19 progression among younger adults (p=0.023), with the effect most pronounced among people under about 45 years old.

CONCLUSIONS

Smoking is an independent risk for having severe progression of COVID-19, including mortality. The effects seem to be higher among young people. Smoking prevention and cessation should remain a priority for the public, physicians, and public health professionals during the COVID-19 pandemic.

COVID-19 and Smoking: A Systematic Review and Meta-Analysis of the Evidence

OBJECTIVE

The aim of this study was to determine if tobacco use in patients with Covid-19 is associated with a negative disease course and adverse outcome, and if smoking, current and past, is associated with a greater possibility of developing COVID-19.

MATERIAL AND METHODS

A systematic review (SR) and meta-analysis (MA) of previously published works were performed. The search strategy included all known descriptors for Covid-19 and tobacco and was conducted in different databases. Appropriate statistical models were used to address the effect size in meta-analysis, namely random effects and fixed effects model.

RESULTS

Thirty-four articles were identified in the SR of which 19 were included in the MA. Being a smoker or former smoker was shown to be a risk factor for worse progression of Covid-19 infection (OR 1.96, 95% CI, 1.36 - 2.83) and a greater probability of presenting a more critical condition (OR 1.79 95% CI, 1.19 - 2.70). As limitations of the MA, we found that most of the studies analyzed were observational with limited publication bias. Two studies that disagreed with the rest were included, although after withdrawing them from the MA, smoking was maintained as a risk factor for worse progress.

CONCLUSION

Current and past smoking produces a more serious clinical form of Covid-19 and more frequently leads to intensive care admission, intubation, and death.

Coping With COVID-19: Learning From Past Pandemics to Avoid Pitfalls and Panic

It is imperative to concur on the main transmission routes of COVID-19 to explain risk and determine the most effective means to reduce illness and mortality. We must avoid generating irrational fear and maintain a broader perspective in the pandemic response, including assessing the possibility for substantial unintended consequences.