Literature DB >> 32430652

COVID-19: counter-intuitive data on smoking prevalence and therapeutic implications for nicotine.

Riccardo Polosa1,2, Grazia Caci3.   

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Year:  2020        PMID: 32430652      PMCID: PMC7236870          DOI: 10.1007/s11739-020-02361-9

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   5.472


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All the world is aware of the Coronavirus pandemic, and as of the 23rd of April 2020 globally 2.629.801 cases had been confirmed, and 183.454 fatalities had occurred (https://coronavirus.jhu.edu/map.html). The world is struggling and working to contain the disease and death of this active new virus. On top of the medical toll, the COVID-19 pandemic has resulted in severe economic devastation that has tragic and widespread consequences for human health and suffering. Multiple strategies are necessary to end this pandemic. Some of these actions are supplying all health professionals with personal protective equipment, reorganizing healthcare systems with COVID-19 dedicated high-dependency hospitals/wards, testing new treatments and vaccines, and motivating people to maintain social distancing practices even when the pandemic recedes. In the absence of long-term immunization against SARS-CoV-2 or effective therapies for COVID-19, healthcare professionals must have access to clear information that accurately predicts which patients with the virus would go on to develop clinical deterioration of COVID-19 (high-risk populations). A better clinical definition of those at high-risk for severe illness with COVID-19 is vital for effective clinical assessment, risk stratification, resource allocation repositioning, and targeted public health interventions. Some conclusive predictors of the risks for severe illness have been clearly described: the presence of co-morbidities [1], older age [2], breathlessness [3] and lymphopenia [4]. Many other predictors of COVID-19 that result in clinical severity have been proposed, but their validity has been questioned. The difficulty in identifying predictors is not surprising considering that anamnestic and behavioral data might have been collected inaccurately due to the extremely challenging situations at wards/ICUs with work overloads and operating in a persistent state of emergency. Intuitively, one vulnerability to severe illness from COVID-19 would be assumed to be cigarette smoking [8] because it is known to increase the risk of serious respiratory infections [5-7]. But is this in fact true? In this issue of Internal and Emergency Medicine, Farsalinos et al. [9] explore the hypothesis that smokers are at higher risk and unexpectedly found data that point to the opposite and counter-intuitive conclusion that smoking may actually have a protective effect. Their systematic review observed that smoking is vastly protective for hospitalized COVID-19 based on the surprisingly low prevalence of smoking in patients hospitalized with COVID-19. While it is possible that the prevalence of smokers in Chinese case series may be underrepresented due to inaccurate recording of their smoking status, similar findings have been now being reported in the US, Germany and in France. The Centers for Disease Control and Prevention (CDC) [10] report an unusually low prevalence of current smoking among COVID-19 cases at 1.3% compared to population smoking prevalence in US of 16.5% [11]. A cross-sectional analysis of 4103 laboratory-confirmed COVID-19 patients treated at academic hospitals in New York City, demonstrated again a low smoking prevalence of 5.2% [12]. A multivariate analysis performed by the New York researchers showed a significant protective effect against hospitalization among current and former tobacco users (OR = 0.71, 95% CI 0.57–0.87 p = 0.001). Moreover, smoking was not a risk factor for critical disease or death. In Germany, a recent case series of hospitalized COVID-19 patients found a low smoking prevalence of about 6% [13]. The protective association has been also recently observed in France where smoking prevalence reported for various age groups and levels of disease severity roughly average to about 1/5 of the population prevalence [14]. These findings are consistent with the Chinese findings of Farsalinos et al. [9]. Given the circumstances of the pandemic, the quality of Chinese, US and German data is uncertain. The counter-intuitive implications of these findings make it difficult to accept that somehow smoking could be a protective factor. Yet those who warn of increased risks for COVID-19 incidence and severity from smoking should not present this advice as anything but a supposition based on the known link between smoking and COVID-19 datasets. For the evidence about the effects of smoking on COVID-19, the accuracy of Chinese reporting could be questioned. Guan et al. [1] recently reported frequency of comorbidities in 1590 laboratory-confirmed hospitalized COVID-19 patients and added an additional 489 COVID-19 Chinese patients to the original sample of 1099 patients, altering the dataset that the authors had published a few weeks earlier [15]. A careful examination of both papers points to substantial discrepancies. The most inexplicable relates to the number of patients with chronic renal disease, with a phenomenal 34-fold increase of cases from 8 (0.7% of the total sample of 1099) to 269 (16.9% of the total sample of 1590). The same discrepancy occurs with the number of COVID-19 patients with cancer increasing 13-fold from 0.9 to 8.2% and patients with immunodeficiency increasing 30-fold from 0.2 to 3.7%. Another puzzling discrepancy is that the larger study has fewer current/former smokers (n = 111) compared to numbers reported in the smaller study (n = 158). In a retrospective case–control Chinese study comparing hospitalized COVID-19 patients with ARDS to hospitalized H1N1 patients with ARDS, 11% of the 73 patients with ARDS due to SARS-CoV-2 were smokers and 47% of the 75 patients with ARDS due to H1N1 were smokers [16]. This substantial difference in the number of patients who smoke suggests that Chinese clinicians do not appear to be under-reporting patients’ smoking status in their medical records. Moreover, one Chinese paper that actively gathered detailed smoking data rather than relying on medical records reported that only 2 of 140 COVID-19 patients smoked and that seven were former smokers [17]. Thus, similar low smoking prevalence among hospitalized COVID-19 patients was also found even when using better data collection methods for reporting smoking status. Of note, the Chinese paper which accurately reports smoking status observed the lowest smoking prevalence of all those included in the analysis by Farsalinos et al. ([9]; see Fig. 1). Assuming limited confidence in the accuracy of the reporting of the studies from China, the US, and Germany, what are the implications of the findings? Given the magnitude of the protective effect, should people consider smoking until the pandemic subsides? Of course, such a highly provocative proposition is medically indefensible. Yet in the quest for new therapies to stem the spread of the Coronavirus pandemic and limit morbidity and mortality from COVID-19 these findings deserve serious scientific consideration. The frantic search for new therapies and vaccines to stem the spread of the Coronavirus pandemic and limit morbidity and mortality from COVID-19 drives the ultimate 21st century gold rush, to which new protagonists are continuously added on a weekly basis. As of the 23rd of April 2020, ClinicalTrials.gov listed a massive 801 ongoing clinical studies on COVID-19, including randomized trials investigating antivirals, biologics, immunomodulatory drugs, monoclonal antibodies, antibiotics, anti-inflammatory drugs, anticoagulants, and many others (https://clinicaltrials.gov/ct2/results?cond=COVID&term=&cntry=&state=&city=&dist =). The analysis by Farsalinos et al. [9] may have therapeutic implications. Cigarette smoke is a complex mixture of thousands of harmful and potentially harmful constituents. Although the health risks of cigarette smoking are well documented, experimental evidence indicates that cigarette smoking may exert both adverse and beneficial effects of cigarette smoke to modulate the immune system [18]. Amongst the many constituents of cigarette smoke, carbon monoxide [19], several flavorings (e.g., menthol) [20], and nicotine [21] have been shown to exert anti-inflammatory and positive immune-modulatory function. Based on the research that shows nicotine can prevent acute lung injury which is similar to COVID-19 pneumonia, and that nicotine inhibits the production of pro-inflammatory cytokines, the review authors hypothesize that nicotine might reduce the risk for severe COVID-19. In light of these findings, they propose that pharmaceutical nicotine may be used as a potential treatment option in COVID-19. There is concern about this potential therapy because the impact of long term use of nicotine replacement therapy on the immune system is not known. Yet nicotine is relatively safe for human consumption at low concentrations as nicotine replacement therapy as well as nicotine-containing vaping and heated tobacco products and has been used for relatively short periods of time in non-smokers [22-24]. In addition, the World Health Organization (WHO) lists nicotine replacement as an essential medicine. Therefore, health and regulatory authorities have sufficient evidence of clinical safety these medicines to fast-track clinical trials of nicotine patches. Further evidence of the effect of nicotine on COVID-19 should be observed in Sweden where snus—an oral tobacco product that releases high concentrations of nicotine—consumption is highly prevalent. If the hypothesis of nicotine being protective against hospitalized COVID-19 is correct, this should be evident by analyzing the prevalence of snus usage in Swedish patients hospitalized with COVID-19. In the same way, the impact of other popular nicotine delivery products such as e-cigarettes and heated tobacco products on the severity of COVID-19 hospitalizations should be included in COVID-19 surveillance particularly in countries such as the UK where nicotine vaping is highly prevalent. The consistent observation that smoking prevalence is surprisingly low among hospitalized COVID-19 patients, should not be dismissed out of hand but monitored. The use of nicotine patches as a treatment for COVID-19 appears to have some potential in the race to find solutions for this terrible pandemic. Given the importance of the active role that internists, general physicians and hospital staff play in assisting patients with COVID-19 and for patients with smoking-related diseases, Internal and Emergency Medicine remains committed to further advancing the scientific debate on COVID-19, including addressing the impact of smoking and vaping on COVID-19 disease.
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Authors:  Luis Alberto García Rodríguez; Ana Ruigómez; Mari-Ann Wallander; Saga Johansson
Journal:  Epidemiology       Date:  2009-11       Impact factor: 4.822

2.  Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China.

Authors:  Jin-Jin Zhang; Xiang Dong; Yi-Yuan Cao; Ya-Dong Yuan; Yi-Bin Yang; You-Qin Yan; Cezmi A Akdis; Ya-Dong Gao
Journal:  Allergy       Date:  2020-02-27       Impact factor: 13.146

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Journal:  Arch Bronconeumol       Date:  2013-12-31       Impact factor: 4.872

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Journal:  J Cell Physiol       Date:  2019-01-30       Impact factor: 6.384

5.  The Characteristics of 50 Hospitalized COVID-19 Patients With and Without ARDS.

Authors:  Michael Dreher; Alexander Kersten; Johannes Bickenbach; Paul Balfanz; Bojan Hartmann; Christian Cornelissen; Ayham Daher; Robert Stöhr; Michael Kleines; Sebastian W Lemmen; Jörg Christian Brokmann; Tobias Müller; Dirk Müller-Wieland; Gernot Marx; Nikolaus Marx
Journal:  Dtsch Arztebl Int       Date:  2020-04-17       Impact factor: 5.594

6.  Menthol inhibits oxidative stress and inflammation in acetic acid-induced colitis in rat colonic mucosa.

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Journal:  Am J Transl Res       Date:  2018-12-15       Impact factor: 4.060

7.  Systematic review of the prevalence of current smoking among hospitalized COVID-19 patients in China: could nicotine be a therapeutic option?

Authors:  Konstantinos Farsalinos; Anastasia Barbouni; Raymond Niaura
Journal:  Intern Emerg Med       Date:  2020-05-09       Impact factor: 3.397

8.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

9.  Comparison of Hospitalized Patients With ARDS Caused by COVID-19 and H1N1.

Authors:  Xiao Tang; Rong-Hui Du; Rui Wang; Tan-Ze Cao; Lu-Lu Guan; Cheng-Qing Yang; Qi Zhu; Ming Hu; Xu-Yan Li; Ying Li; Li-Rong Liang; Zhao-Hui Tong; Bing Sun; Peng Peng; Huan-Zhong Shi
Journal:  Chest       Date:  2020-03-26       Impact factor: 9.410

10.  Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.

Authors:  Wei-Jie Guan; Wen-Hua Liang; Yi Zhao; Heng-Rui Liang; Zi-Sheng Chen; Yi-Min Li; Xiao-Qing Liu; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Chun-Quan Ou; Li Li; Ping-Yan Chen; Ling Sang; Wei Wang; Jian-Fu Li; Cai-Chen Li; Li-Min Ou; Bo Cheng; Shan Xiong; Zheng-Yi Ni; Jie Xiang; Yu Hu; Lei Liu; Hong Shan; Chun-Liang Lei; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Lin-Ling Cheng; Feng Ye; Shi-Yue Li; Jin-Ping Zheng; Nuo-Fu Zhang; Nan-Shan Zhong; Jian-Xing He
Journal:  Eur Respir J       Date:  2020-05-14       Impact factor: 16.671

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2.  Different death rates between COVID-19 waves among unvaccinated patients: moving beyond lessons learned.

Authors:  Davide Campagna; Crsitina Russo; Elisa Trovato; Joseph Bridgeman; Riccardo Polosa
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3.  SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19.

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Journal:  Sci Rep       Date:  2021-03-02       Impact factor: 4.379

4.  Chronic comorbidities and clinical outcomes in patients with and without COVID-19: a large population-based study using national administrative healthcare open data of Mexico.

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Journal:  Intern Emerg Med       Date:  2021-01-07       Impact factor: 3.397

5.  MHC Haplotyping of SARS-CoV-2 Patients: HLA Subtypes Are Not Associated with the Presence and Severity of COVID-19 in the Israeli Population.

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6.  Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record Data.

Authors:  Tarun Karthik Kumar Mamidi; Thi K Tran-Nguyen; Ryan L Melvin; Elizabeth A Worthey
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7.  Systematic review of the prevalence of current smoking among hospitalized COVID‑19 patients in China: could nicotine be a therapeutic option?

Authors:  Hisato Takagi
Journal:  Intern Emerg Med       Date:  2020-08-16       Impact factor: 3.397

8.  Impact of COVID-19 on the Hong Kong Youth Quitline Service and Quitting Behaviors of Its Users.

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9.  Reduced Mortality With Ondansetron Use in SARS-CoV-2-Infected Inpatients.

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