Effect of tobacco smoking on the risk of developing community acquired pneumonia: A systematic review and meta-analysis

Reduced treatment response to inhaled corticosteroids in current smokers with COPD, regardless of blood eosinophil count: insights from the FLAME trial

Inhaled corticosteroids (ICSs) benefit patients with chronic obstructive pulmonary disease at high risk of exacerbations with raised blood eosinophil count (BEC). Emerging evidence suggests current smokers show a reduced response to ICS. This post-hoc analysis of the FLAME trial explored the impact of smoking status on the efficacy of long-acting beta-2 agonist (LABA)+ICS versus LABA+long-acting muscarinic antagonist (LAMA) for preventing exacerbations. Our findings indicate that LABA+LAMA is superior to LABA+ICS in preventing moderate to severe exacerbations in current smokers and inferior in ex-smokers with BEC ≥200 cells/µL. Smoking status significantly modifies ICS treatment effects on exacerbation outcomes, suggesting reduced ICS efficacy in current smokers, regardless of BEC.

Diagnosis of respiratory conditions using exhaled breath condensate using Inflammacheck® and advanced analytics: insights from the VICTORY study

Lung cancer, the third leading cause of death in England, is challenging to diagnose early. Traditional methods are costly, time-consuming and uncomfortable. Exhaled breath condensate (EBC) analysis with the Inflammacheck® device offers a non-invasive alternative, employing advanced analytics like t-distributed stochastic neighbour embedding (t-SNE), Bhattacharyya distances and network maps to differentiate respiratory conditions. The VICTORY study recruited participants (age ⩾ 16) with physician-confirmed respiratory conditions (asthma, chronic obstructive pulmonary disease, bronchiectasis, interstitial lung disease, lung cancer, pneumonia or a breathing pattern disorder) from inpatient and outpatient settings at a single NHS university hospital. EBC was collected using the Inflammacheck® device, to assess seven parameters: H2O2levels, peak CO2percentage, peak breath humidity, peak breath temperature, exhalation flow rate, exhalation duration and sample collection time. After standardisation of EBC data, t-SNE was employed, Bhattacharyya distances calculated on tSNE components, network maps generated, and hierarchical clustering performed to illustrate the distinct classifications of the respiratory conditions based on the EBC parameters. The study included 282 participants. Multinomial logistic regression revealed elevated exhaled H2O2increased the odds of pneumonia (25.7-fold) and lung cancer (3.6-fold). t-SNE analysis showed distinct disease clusters, with Bhattacharyya distances for lung cancer and pneumonia demonstrating good separability from other conditions. Hierarchical clustering confirmed clear group distinctions, as visualised in heatmaps and dendrograms. The integration of advanced dimensionality reduction techniques t-SNE, combined with Bhattacharyya distance-based network mapping to interpret the EBC results facilitated discrimination between respiratory diseases. These methods were chosen over standard machine-learning classifiers due to their ability to provide intuitive, interpretable visualisations of complex data relationships, complementing their strong discriminatory power. Harnessing these analytical tools facilitated disease discrimination, particularly for lung cancer and pneumonia, suggesting promise as a diagnostic aid, paving the way for improved clinical decision-making and patient care.

Risk factors of poor long-term outcomes in elderly patients with esophageal squamous cell carcinoma after minimally invasive esophagectomy

PURPOSE

Elderly patients with esophageal squamous cell carcinoma (ESCC) have more comorbidities than young patients do. Elderly smokers have a high mortality rate owing to physical dysfunction. This study aimed to identify risk factors for long-term outcomes after minimally invasive esophagectomy (MIE) in elderly patients with ESCC.

METHODS

This study included 110 elderly patients (aged ≥ 75 years) with ESCC who underwent MIE at Kobe University Hospital. Multivariate Cox proportional hazards regression analyses were performed to identify risk factors, including the geriatric nutritional risk index (GNRI), Charlson comorbidity index, and elderly smoker status, defined as smoking at the age of 70 years.

RESULTS

Multivariate analysis identified that elderly smokers, cT or cN status (≥ cT2 or cN-positive), and GNRI (≤ 92) were independent prognostic factors for overall survival (p = 0.026, 0.019, and 0.038, respectively). For patients with ≥ cT2 or cN-positive ESCC, elderly smokers or patients with GNRI (≤ 92) have significantly worse survival (p = 0.038). Elderly smokers were at risk of death from other diseases five years postoperatively (p = 0.016).

CONCLUSIONS

Elderly smokers, cT2 or cN positivity, and low GNRI were risk factors for poor survival. Furthermore, for patients with ≥ cT2 or cN-positive ESCC, these risk factors were associated with poor survival.

Severe Pneumonia

Severe pneumonia is a leading cause of mortality and morbidity worldwide. Being a complex condition caused by a variety of microorganisms including bacteria, viruses, and fungi, it requires intensive care. A combination of early initiation of antimicrobial therapy and adjunctive nonantimicrobial interventions improve patient outcomes. This article reviews the most recent data on the epidemiology, microbiology, diagnosis, and management of severe pneumonia.

Development and validation of a risk score to predict community-acquired pneumonia occurrence in the adult population

BACKGROUND

Community-acquired pneumonia (CAP) preventive strategies can benefit from a quantification of individual CAP risk. This study develops and validates a CAP Risk Score (CAP-RS) for the adult population to predict CAP occurrence in the next five years.

METHODS

The development phase was as follows: a population-based case-control study to identify potential CAP risk factors for inclusion in the CAP-RS after weighting according to odds ratios; development of a numerical scoring system for weighted risk factors; and establishment of cut-off points to discriminate between different risk levels. The validation phase consisted of a population-based case-control study and a retrospective cohort study (with 47 836 adults aged ≥18 years corresponding to three Maresme (Barcelona) primary care centres) followed up over a five-year period (2015-2019).

RESULTS

786 new CAP cases were identified. 15 factors were included in the CAP-RS. Risk was higher in subjects with CAP than without CAP (4.5 vs 1.9; p < 0.001), and the association (OR) between the CAP-RS and the occurrence of CAP increased as the CAP-RS value increased. AUC-ROC was 0.67 (p < 0.001). Cut-offs were established at <1, <5, and <10 points as best discriminating between risk groups. Annual CAP incidence was 1.9, 3.1, 6.2, and 12.4 new cases/103 inhabitants for the no, moderately, severely, and very severely increased risk groups, respectively. Significant differences in CAP-free survival were observed between the four CAR-RS categories.

CONCLUSIONS

The 15-item CAP-RS, which stratifies risk with good validity, can aid in the design and implementation of preventive CAP strategies for adult populations.

Trends in disability (2001-2019), chronic medical conditions (1996-2020), and mortality (1995-2020) in Japanese older adults: analyses based on national datasets

BACKGROUND

The overall health status of older adults in Japan has reportedly improved. However, it is unclear whether such improvement has occurred in the baby boomer generation, the oldest of whom turned 65 in 2015. In addition, the health status of oldest-old adults (aged > 85 years) was not examined extensively in previous studies. This study aimed to characterize trends in disability and chronic medical conditions in adults aged 65-89 years which includes the baby boomer generation.

METHODS

From the Comprehensive Survey of Living Conditions (2001-2019), Patient Survey (1996-2020), and Vital Statistics (1995-2020), we documented disability rates, rates of treatment for nine chronic medical conditions (malignant neoplasms, diabetes mellitus, hypertension, ischemic heart disease, cerebrovascular diseases, pneumonia, fractures, osteoporosis, chronic kidney disease, and joint disorders), total mortality rates, and rates of mortality from specific causes (malignant neoplasms, heart diseases, cerebrovascular diseases, and pneumonia) in both sexes and in five age groups (65-69, 70-74, 75-79, 80-84, and 85-89 years).

RESULTS

Overall, rates of disability decreased significantly in both sexes. Both total mortality rates and rates of mortality from specific medical causes declined significantly. These trends were observed in the baby boomer generation. The rates of treatment for most medical conditions also significantly decreased. However, the treatment rates of diabetes mellitus, pneumonia, and fractures in adults aged 85-89 years remained high or did not decrease. In contrast, the treatment rates of chronic kidney disease steadily increased over time.

CONCLUSIONS

Overall health status continues to improve in older Japanese adults, including the baby boomer generation and the oldest-old cohort. However, for several diseases, no improvement was observed; thus, further public health interventions are necessary.

Smoking, Alcohol Use, Diabetes Mellitus, and Metabolic Syndrome as Risk Factors for Community-Acquired Pneumonia

Community-acquired pneumonia (CAP) continues to be a cause of significant morbidity and mortality worldwide. Much recent attention in this area of research has been focused on host factors associated with the infection. This article will discuss 4 diverse, yet often coexistent conditions, namely, smoking, excessive alcohol use, diabetes mellitus, and metabolic syndrome. While all these conditions can be considered to be largely associated with lifestyle factors, they represent important risk factors for CAP. All can lead to acquired host immune suppression that underlies their risk for the development of severe CAP.

Strategies for preventing and reducing the impact of acute respiratory failure from pneumonia

INTRODUCTION

Pneumonia remains a leading cause of morbidity and mortality, particularly in critically ill patients with acute respiratory failure (ARF). This review discusses prevention strategies for pneumonia-induced ARF, categorized into primary, secondary, and tertiary prevention.

AREAS COVERED

A literature search was conducted through PubMed covering the years 2000-2024, using the keywords 'acute respiratory failure,' pneumonia prevention," 'risk stratification,' and 'preventive strategies.' Primary prevention focuses on reducing pneumonia risk through vaccination, smoking cessation, and comorbidity management. Secondary prevention involves early detection, risk assessment using clinical tools like the Pneumonia Severity Index (PSI) biomarkers, such as procalcitonin and C-reactive protein, appropriate antibiotic use, and emerging machine learning tools for real-time stratification. Tertiary prevention focuses on optimizing care with noninvasive respiratory support, lung-protective ventilation strategies, and ventilator bundles for intubated patients. Emerging therapies, including targeted use of corticosteroids and other immunomodulatory agents, are also discussed as promising adjuncts to current standards of care.

EXPERT OPINION

While these prevention strategies show potential, continued research is necessary to refine these interventions, explore newer therapies and evaluate long-term outcomes. Implementation of these strategies aims to reduce the impact of pneumonia-induced ARF on healthcare systems and improve patient survival and quality of care.

Long-Term Outcome of Childhood Asthma: Characterizing COPD-A and COPD-C Subtypes in Adulthood

Background and Aim

Asthma in early life has been linked to subsequent development of COPD and according to GOLD 2023 COPD may be divided into distinct subtypes. We aimed to investigate factors associated with the GOLD classification COPD-A (asthma in childhood) and COPD-C (tobacco exposure) in a cohort of adults with a history of severe childhood asthma.

Patients and Methods

In a cohort of Danish adults with a history of severe childhood asthma and a previous 4-month stay during childhood at the asthma care facility in Kongsberg, Norway, we divided participants in a long-term follow-up examination into COPD-A and COPD-C, defined as post-bronchodilator FEV1/FVC < 0.7, and never-smoker or ever-smoker, respectively, and no airflow limitation. Characteristics between groups were analysed.

Results

The study cohort comprised 232 adults with a history of severe childhood asthma, of whom 30 (13%) and 23 (10%), respectively, were classified as COPD-A and COPD-C. Compared to those with no airflow limitation, individuals with COPD-A and COPD-C more often had had at least one exacerbation (filled prescription of oral corticosteroid) in the past 12 months (risk ratio [RR] 1.83 and 2.65, respectively). The COPD-C group had a significantly higher Medical Research Council dyspnoea score (p<0.01) and significantly higher blood eosinophil count (p<0.01) than those with no airflow limitation. Compared to the COPD-C group, the COPD-A group had higher fractional exhaled nitric oxide (mean 29 [SD 28]) and FEV1%pred (mean 75 [SD 20]). Finally, when comparing participants with COPD-A to both COPD-C and participants without airflow limitation, the proportion of participants with osteoporosis (17%) and depression (10%) was more than twice as high.

Conclusion

Our study revealed a high prevalence and unique features of the two COPD subtypes COPD-A and COPD-C in a cohort of adults with a history of severe childhood asthma.

Advancements and challenges in the management of pneumonia in elderly patients with COPD

INTRODUCTION

Chronic Obstructive Pulmonary Disease (COPD) significantly predisposes the elderly to pneumonia, presenting a complex interplay of pulmonary dysfunction and infection risk.

AREAS COVERED

This article reviews the substantial epidemiologic impact, elucidates the interlinked pathophysiology of COPD and pneumonia, and examines the microbial landscape shaping infection in these patients. It also evaluates management protocols and the multifaceted clinical challenges encountered during treatment.

EXPERT OPINION

Delving into the latest research, we underscore the criticality of preventive measures such as vaccination and present an integrated approach to managing Community-Acquired Pneumonia (CAP) in the COPD demographic. The review also proposes strategic directions for future investigations aimed at enhancing patient outcomes through a deeper understanding of the COPD-pneumonia nexus.

Incident Myocardial Infarction, Heart Failure, and Oncologic Outcomes in Breast Cancer Survivors

Background

Cardiovascular disease (CVD) is associated with higher rates of incident cancer. Data are scarce regarding the association of incident CVD with oncologic outcomes after a cancer diagnosis.

Objectives

This study sought to determine whether incident myocardial infarction (MI) or heart failure (HF) in breast cancer survivors is associated with oncologic outcomes.

Methods

This was a population-based cohort study in Ontario, Canada, using linked administrative data sets of women diagnosed with first breast cancer between April 1, 2007, and March 31, 2015. A landmark analysis was conducted of women alive 2 years after breast cancer diagnosis, aged ≥40 years, and with available staging data and without recurrent/distant disease or preceding CVD. The exposure was a composite of MI and/or HF after the landmark date. The outcomes were cancer mortality, new non-breast malignancy diagnosis, and new chemotherapy initiation. Multivariable cause-specific hazards regression was used to determine the association of incident MI/HF (time-varying exposure) with outcomes.

Results

A total of 30,694 women (median age of 60 years) were included, of whom 1,346 developed incident MI/HF at a median of 3.9 years after the landmark date. At 5 years, the cumulative incidence was 5.9% (95% CI: 5.6%-6.1%) for cancer death, 4.3% (95% CI: 4.1%-4.6%) for non-breast malignancy, and 25.7% (95% CI: 25.2%-26.2%) for new chemotherapy. Incident MI/HF was associated with a higher hazard of cancer death (HR: 3.94; 95% CI: 3.38-4.59), non-breast malignancy (HR: 1.39; 95% CI: 1.06-1.82), and new chemotherapy (HR: 1.25; 95% CI: 1.02-1.53).

Conclusions

Incident MI and/or HF after breast cancer treatment are associated with higher hazards of adverse oncologic outcomes, highlighting the need to prioritize care for these patients.

Effects of antimicrobial exposure on the risk of Parkinson's disease

BACKGROUND

We aimed to assess how antimicrobial exposure affects Parkinson's disease (PD) risk.

METHODS

A nested case-control study was performed to examine the association between antimicrobial exposure and newly diagnosed PD using the Clinical Practice Research Datalink (CPRD). Each PD case was matched by age, sex, and year of diagnosis (index date) to up to 15 controls. Number of prescribed antimicrobial courses was assessed 1-5, 6-10, and 11-15 years prior to the index date. Logistic regression with generalized estimating equations (GEE) was used to estimate odds ratios (ORs) and false discovery rate-adjusted p-values between antimicrobial exposure and risk of PD.

RESULTS

We compared 12,557 PD cases with 80,804 matched controls. We found an inverse dose-response relationship between number of penicillin courses and PD risk across multiple time periods (5+ courses, 1-5 years prior: OR 0.85, 95 % CI 0.76-0.95, p = 0.043; 6-10 years prior: OR 0.84, 95 % CI: 0.73-0.95, p = 0.059; 11-15 years prior: OR 0.87, 95 % CI 0.74-1.02, p = 0.291). The number of macrolide courses was inversely but not significantly associated with PD risk 1-5 years prior to the index date (OR 0.89-0.91, 95 % CI: 0.79-0.99, adjusted p = 0.140-0.167). Exposure to ≥2 courses of antifungals 1-5 years prior was associated with an increased risk of PD (OR 1.16, 95 % CI: 1.06-1.27, p = 0.020).

CONCLUSIONS

In a large UK-representative population, the risk of PD was modestly lower among adults who had previously received multiple courses of penicillins in the last 15 years and modestly higher among those exposed to antifungal medicines in recent years.

Pneumonia Risk, Antipsychotic Dosing, and Anticholinergic Burden in Schizophrenia

Importance

Antipsychotic drugs (particularly clozapine) have been associated with pneumonia in observational studies. Despite studies of the associations between antipsychotic use and incident pneumonia, it remains unclear to what degree antipsychotic use is associated with increased risk of pneumonia, whether dose-response associations exist, and what agents are specifically associated with incident pneumonia.

Objective

To estimate pneumonia risk associated with specific antipsychotics and examine whether polytherapy, dosing, and receptor binding properties are associated with pneumonia in patients with schizophrenia.

Design, Setting, and Participants

This cohort study identified patients with schizophrenia or schizoaffective disorder (hereafter, schizophrenia) aged 16 years or older from nationwide Finnish registers from 1972 to 2014. Data on diagnoses, inpatient care, and specialized outpatient care were obtained from the Hospital Discharge Register. Information on outpatient medication dispensing was obtained from the Prescription Register. Study follow-up was from 1996 to 2017. Data were analyzed from November 4, 2022, to December 5, 2023.

Exposures

Use of specific antipsychotic monotherapies; antipsychotics modeled by dosage as low (<0.6 of the World Health Organization defined daily dose [DDD] per day), medium (0.6 to <1.1 DDDs per day), or high dose (≥1.1 DDDs per day); antipsychotic polypharmacy; and antipsychotics categorized according to their anticholinergic burden as low, medium, and high.

Main Outcomes and Measures

The primary outcome was hospitalization for incident pneumonia. Pneumonia risk was analyzed using adjusted, within-individual Cox proportional hazards regression models, with no antipsychotic use as the reference.

Results

The study included 61 889 persons with schizophrenia (mean [SD] age, 46.2 [16.0] years; 31 104 men [50.3%]). During 22 years of follow-up, 8917 patients (14.4%) had 1 or more hospitalizations for pneumonia and 1137 (12.8%) died within 30 days of admission. Compared with no antipsychotic use, any antipsychotic use overall was not associated with pneumonia (adjusted hazard ratio [AHR], 1.12; 95% CI, 0.99-1.26). Monotherapy use was associated with increased pneumonia risk compared with no antipsychotic use (AHR, 1.15 [95% CI, 1.02-1.30]; P = .03) in a dose-dependent manner, but polytherapy use was not. When categorized by anticholinergic burden, only the use of antipsychotics with a high anticholinergic burden was associated with pneumonia (AHR, 1.26 [95% CI, 1.10-1.45]; P < .001). Of specific drugs, high-dose quetiapine (AHR, 1.78 [95% CI, 1.22-2.60]; P = .003), high- and medium-dose clozapine (AHR, 1.44 [95% CI, 1.22-1.71]; P < .001 and AHR, 1.43 [95% CI, 1.18-1.74]; P < .001, respectively), and high-dose olanzapine (AHR, 1.29 [95% CI, 1.05-1.58]; P = .02) were associated with increased pneumonia risk.

Conclusions and Relevance

Results of this cohort study suggest that in patients with schizophrenia, antipsychotic agents associated with pneumonia include not only clozapine (at dosages ≥180 mg/d) but also quetiapine (≥440 mg/d) and olanzapine (≥11 mg/d). Moreover, monotherapy antipsychotics and antipsychotics with high anticholinergic burden are associated with increased pneumonia risk in a dose-dependent manner. These findings call for prevention strategies aimed at patients with schizophrenia requiring high-risk antipsychotics.

Global epidemiological trends in the incidence and deaths of acute respiratory infections from 1990 to 2021

The aim of this study was to investigate the global epidemiological trends in the incidence and deaths of acute respiratory infections (ARIs), encompassing both upper respiratory infections (URIs) and lower respiratory infections (LRIs), from 1990 to 2021. Using data from the Global Burden of Disease study 2021 (GBD 2021), we utilized the average annual percentage change (AAPC) to examine the trends in the age-standardized incidence rate and deaths rate (ASIR and ASDRs) of URIs and LRIs. In 2021, the global ASIR of URIs and LRIs were 166,770.73 (95 % UI: 148,098.16-189,487.93) per 100,000 and 4283.61 (95 % UI: 4057.03-4524.89) per 100,000, respectively. The highest ASIR of URIs occurred in high-sociodemographic index (SDI) regions (232744.64, 95 % UI: 206887.07-261694.81) per 100,000, whereas LRIs occurred in low-SDI regions (9261.1, 95 % UI: 8741.61-9820.86) per 100,000. In 2021, the global ASDRs of URIs and LRIs were 0.28 (95 % UI: 0.09-0.61) per 100,000 and 28.67 (95 % UI: 25.92-31.07) per 100,000, respectively. The highest ASDRs of both URIs and LRIs were observed in low-SDI regions, with 1.1 (95 % UI: 0.08-2.78) per 100,000 and 70.68 (95 % UI: 62.56-78.62) per 100,000, respectively. From 1990 to 2021, the global ASIR for URIs and LRIs decreased, with AAPCs of -0.17 % (95 % CI: 0.17 % to -0.16 %) and -1.28 % (95 % CI: -1.37 % to -1.22 %), respectively. The global ASDRs also decreased (-3.39 % for URIs; -2.46 % for LRIs). However, during the COVID-19 pandemic, the ASIR of URIs increased in many countries, especially in high-SDI regions (rate difference before and during the COVID-19 pandemic in ASIR was 2210.19 per 100,000.) and low-SDI regions (rate difference in ASIR: 111.26 per 100,000). The global incidence and deaths related to ARIs have decreased over the past 32 years. However, it remains a significant public health concern, particularly due to the notable incidence of URIs in high SDI regions and the deaths associated with both URIs and LRIs in low SDI regions. Furthermore, an increase in the incidence of URIs was observed in both high- and low-SDI regions during the COVID-19 pandemic, highlighting the need for increased attention.

Cigarette Smoke Constituents and Nicotine Differentially Affect Cytokine Production by Human Macrophages Stimulated by TLR Ligands In Vitro: Considerations for a Standardised Protocol

Chronic obstructive pulmonary disease (COPD) is an inflammatory lung condition associated with cigarette (tobacco) smoking. Numerous in vivo animal studies have been conducted to investigate the links between cigarette smoke, nicotine and infection in lung pathology. As an alternative to animal experiments, we used an in vitro system to investigate the effects of cigarette smoke extract (CSE) or nicotine on TNF-α and IL-10 production by monocyte-derived human macrophages. The macrophages were simultaneously stimulated with either poly-IC (as a chemical surrogate for viral infection) or lipopolysaccharide (as a chemical surrogate for Gram-negative bacterial infection). CSE enhanced TNF-α production, whereas nicotine inhibited IL-10 production by the macrophages, particularly when co-stimulated with the microbial chemical surrogates. A system of this type may help to further our understanding of the immunological and inflammatory effects of smoking, without recourse to in vivo studies. Requirements for the optimisation and standardisation of such an in vitro system are also discussed.

Detrimental impact of late-onset pneumonia on long-term prognosis in oesophageal cancer survivors

BACKGROUD

Oesophageal cancer patients are prone to early- and late-onset pneumonia after oesophagectomy. We aimed to investigate the incidence rate and impact on the long-term prognosis of late-onset pneumonia in oesophageal cancer survivors who survived for at least one year after oesophagectomy without cancer recurrence.

METHODS

We retrospectively reviewed 233 patients with thoracic oesophageal cancer who underwent oesophagectomy with gastric conduit reconstruction between September 2009 and June 2019 at a tertiary referral hospital in Japan. Pneumonia that occurred ≥1 year after oesophagectomy was defined as late-onset pneumonia.

RESULTS

Among the 185 oesophageal cancer survivors, 31 (17%) developed late-onset pneumonia. The cumulative incidence rates of late-onset pneumonia 24, 36, and 60 months after oesophagectomy were 6.4%, 10%, and 21%, respectively, whereas pneumonia recurred at 21%, 31%, and 52% within 6, 12, and 24 months, respectively, after the first pneumonia. Chronic obstructive pulmonary disease, postoperative anastomotic leakage, and loss of skeletal muscle mass were independently associated with late-onset pneumonia, and a combination of these factors further increased the risk. Late-onset pneumonia with hospitalisation had the greatest negative impact on the long-term prognosis as non-cancer deaths (HR, 21; p < 0.001), followed by recurrent late-onset pneumonia (HR, 18; p < 0.001).

CONCLUSIONS

Late-onset pneumonia in oesophageal cancer survivors is significantly associated with an increased risk of recurrent infections and non-cancer deaths. Chronic obstructive pulmonary disease and postoperative muscle loss are risk factors for late-onset pneumonia, and more intensive pharmacological and nutritional interventions should be considered to improve long-term prognosis after oesophagectomy.

Impact of Smoking and Chronic Obstructive Pulmonary Disease on All-Cause, Respiratory, and Cardio-Cerebrovascular Mortality

Introduction

Mortality differences in chronic obstructive pulmonary disease (COPD) between nonsmokers and smokers remain unclear. We compared the risk of death associated with smoking and COPD on mortality.

Methods

The study included participants aged ≥40 years who visited pulmonary clinics and were categorised into COPD or non-COPD and smoker or nonsmoker on the basis of spirometry results and cigarette consumption. Mortality rates were compared between groups using statistical analysis for all-cause mortality, respiratory disease-related mortality, and cardiocerebrovascular disease-related mortality.

Results

Among 5811 participants, smokers with COPD had a higher risk of all-cause (adjusted hazard ratio (aHR), 1.69; 95% confidence interval (CI), 1.23-2.33) and respiratory disease-related mortality (aHR, 2.14; 95% CI, 1.20-3.79) than nonsmokers with COPD. Non-smokers with and without COPD had comparable risks of all-cause mortality (aHR, 1.39; 95% CI, 0.98-1.97) and respiratory disease-related mortality (aHR, 1.77; 95% CI, 0.85-3.68). However, nonsmokers with COPD had a higher risk of cardiocerebrovascular disease-related mortality than nonsmokers without COPD (aHR, 2.25; 95% CI, 1.15-4.40).

Conclusion

The study found that smokers with COPD had higher risks of all-cause mortality and respiratory disease-related mortality compared to nonsmokers with and without COPD. Meanwhile, nonsmokers with COPD showed comparable risks of all-cause and respiratory mortality but had a higher risk of cardiocerebrovascular disease-related mortality compared to nonsmokers without COPD.

The association between anti-smoking legislation and prevalence of acute respiratory illnesses in Indian children

Objective

Exposure to tobacco smoke causes numerous health problems in children, and create burden on the population in terms of economy, morbidity and mortality. In order to protect the child from exposure to tobacco smoke in the outdoor environment, sufficient legislative enactments are available in Indian legislation. The objective of the present study is to investigate the fact that in absence of any specific laws stating about protection of children from exposure to tobacco smoke in indoor environment, whether outdoor related legislations are sufficient to protect children from exposureand to explore the scope for enforcement of both state and central laws in improving health of children in India.

Study design

The study considered cross-sectional survey data of Demographic and Health Survey Data on India, National Family and Health Survey fourth round (NFHS-4) for the year 2015-16 on Indian children (below age of four).

Methods

Both bivariate and multivariate logistic regression models were used to assess the impact of anti-smoking laws on the prevalence of acute respiratory infection (ARI) based on the place of residence, indoor tobacco smoke exposure and age of the child.

Results

The results have shown an inclination of ARI among children in association with states having single law, rural area resident, exposure to indoor tobacco smoke and age of the child, both as independent or in combination are quite conspicuous, and are found to be underestimated. The logistic regression also revealed the influence of these factors both as independent and even in interaction with other.

Conclusions

Legislative intervention through both at central (or national)and state levels through anti-smoking laws will decrease the indoor tobacco smoke exposure as a result ARI prevalence will also decrease among children in India.

Immunological Signatures in Blood and Urine in 80 Individuals Hospitalized during the Initial Phase of COVID-19 Pandemic with Quantified Nicotine Exposure

This research analyzes immunological response patterns to SARS-CoV-2 infection in blood and urine in individuals with serum cotinine-confirmed exposure to nicotine. Samples of blood and urine were obtained from a total of 80 patients admitted to hospital within 24 h of admission (tadm), 48 h later (t48h), and 7 days later (t7d) if patients remained hospitalized or at discharge. Serum cotinine above 3.75 ng/mL was deemed as biologically significant exposure to nicotine. Viral load was measured with serum SARS-CoV-2 S-spike protein. Titer of IgG, IgA, and IgM against S- and N-protein assessed specific antiviral responses. Cellular destruction was measured by high mobility group box protein-1 (HMGB-1) serum levels and heat shock protein 60 (Hsp-60). Serum interleukin 6 (IL-6), and ferritin gauged non-specific inflammation. The immunological profile was assessed with O-link. Serum titers of IgA were lower at tadm in smokers vs. nonsmokers (p = 0.0397). IgM at t48h was lower in cotinine-positive individuals (p = 0.0188). IgG did not differ between cotinine-positive and negative individuals. HMGB-1 at admission was elevated in cotinine positive individuals. Patients with positive cotinine did not exhibit increased markers of non-specific inflammation and tissue destruction. The blood immunological profile had distinctive differences at admission (MIC A/B↓), 48 h (CCL19↓, MCP-3↓, CD28↑, CD8↓, IFNγ↓, IL-12↓, GZNB↓, MIC A/B↓) or 7 days (CD28↓) in the cotinine-positive group. The urine immunological profile showed a profile with minimal overlap with blood as the following markers being affected at tadm (CCL20↑, CXCL5↑, CD8↑, IL-12↑, MIC A/B↑, GZNH↑, TNFRS14↑), t48h (CCL20↓, TRAIL↓) and t7d (EGF↑, ADA↑) in patients with a cotinine-positive test. Here, we showed a distinctive immunological profile in hospitalized COVID-19 patients with confirmed exposure to nicotine.

Longitudinal associations between exclusive, dual and polytobacco use and respiratory illness among youth

Background

The health consequences of polytobacco use are still well not understand. We evaluated prospective associations between exclusive, dual, and polytobacco use and diagnosed bronchitis, pneumonia, or chronic cough among US youth.

Methods

Data came from Waves 1-5 of the Population Assessment of Tobacco and Health Study. We categorized time-varying past 30-day tobacco use into seven categories: (1) non-current use; exclusive use of 2) cigarettes, 3) electronic nicotine delivery systems (ENDS), or 4) other combustible products (OC; pipes, hookah, and cigars); dual use of 5) ENDS + cigarettes or ENDS + OC 6) cigarettes + OC; or 7) polyuse of all three products. The outcome was incident diagnosis of bronchitis, pneumonia, or chronic cough. We conducted weighted multilevel Poisson models (person n = 17,517, 43,290 observations) to examine the longitudinal exposure-outcome relationship, adjusting for covariates: sex, age, race and ethnicity, parental education, body mass index, secondhand smoke exposure, and household use of combustible products.

Results

Compared to nonuse, exclusive cigarette use (Incidence Rate Ratio (IRR) = 1.83, 95% CI 1.25-2.68), exclusive ENDS use (IRR = 1.53, 95% CI 1.08-2.15), combustible product + ENDS dual use (IRR = 1.90, 95% CI 1.18-3.04), cigarettes + OC dual use (IRR = 1.96, 95% CI 1.11-3.48), and polytobacco use (IRR = 3.06 95% CI 1.67-5.63) were associated with a higher incidence of bronchitis, pneumonia, or chronic cough.

Conclusion

We found that exclusive, dual, and poly tobacco use was associated with higher incidence of bronchitis, pneumonia, or chronic cough; Moreover, the incidence rate ratio for polytobacco use was higher than the incidence rate ratio for exclusive use compared to non-current use.

Exposure to air pollution and risk of respiratory tract infections in the adult Danish population-a nationwide study

OBJECTIVES

The association between air pollution and risk of respiratory tract infection (RTI) in adults needs to be clarified in settings with low to moderate levels of air pollution. We investigated this in the Danish population between 2004 and 2016.

METHODS

We included 3 653 490 persons aged 18-64 years in a nested case-control study. Exposure was defined as the average daily concentration at the individual's residential address of CO, NOX, NO2, O3, SO2, NH3, PPM2.5, black carbon, organic carbon, mineral dust, sea salt, secondary inorganic aerosols, SO42-, NO3-, NH4+, secondary organic aerosols, PM2.5, and PM10 during a 3-month exposure window. RTIs were defined by hospitalization for RTIs. Incidence rate ratios (IRRs) and 95% CIs were estimated comparing highest with lowest decile of exposure using conditional logistic regression models.

RESULTS

In total, 188 439 incident cases of RTI were identified. Exposure to most air pollutants was positively associated with risk of RTI. For example, NO2 showed an IRR of 1.52 (CI: 1.48-1.55), and PM2.5 showed an IRR of 1.45 (CI: 1.40-1.50). In contrast, exposure to sea salt, PM10, NH3, and O3 was negatively associated with a risk of RTIs.

DISCUSSION

In this nationwide study comprising adults, exposure to air pollution was associated with risk of RTIs and subgroups hereof. Sea salt, PM10, NH3, and O3 may be proxies for rural areas, as the levels of these species in Denmark are higher near the western coastlines and/or in rural areas with fewer combustion sources.

Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program

OBJECTIVE

The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations.

MATERIALS AND METHODS

We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals.

RESULTS

PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated.

DISCUSSION

Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results.

CONCLUSION

This study demonstrated the feasibility of studying common exposures using All of Us data.

Development and Evaluation of a Health Behavior Change Clinic in Primary Care: An Interdisciplinary Partnership

Providing effective healthy behavior change interventions within primary care presents numerous challenges. Obesity, tobacco use, and sedentary lifestyle negatively impact the health quality of numerous medical patients, particularly in underserved patient populations with limited resources. Primary Care Behavioral Health (PCBH) models, which incorporate a Behavioral Health Consultant (BHC), can offer point-of-contact psychological consultation, treatment, and also provide opportunities for interdisciplinary psychologist-physician clinical partnerships to pair a BHC's health behavior change expertise with the physician's medical care. Such models can also enhance medical training programs by providing resident physicians with live, case-based learning opportunities when partnered with a BHC to address patient health behaviors. We will describe the development, implementation, and preliminary outcomes of a PCBH psychologist-physician interdisciplinary health behavior change clinic within a Family Medicine residency program. Patient outcomes revealed significant reductions (p < .01) in weight, BMI, and tobacco use. Implications and future directions are discussed.

Cigarette smoking and risk of severe infectious respiratory diseases in UK adults: 12-year follow-up of UK biobank

BACKGROUND

The relevance of tobacco smoking for infectious respiratory diseases (IRD) is uncertain. We investigated the associations of cigarette smoking with severe IRD resulting in hospitalization or death in UK adults.

METHODS

We conducted a prospective study of cigarette smoking and risk of severe IRD in UK Biobank. The outcomes included pneumonia, other acute lower respiratory tract infections (OA-LRTI) and influenza. Multivariable Cox regression analyses were used to estimate hazard ratios (HRs) of severe IRD associated with smoking habits after adjusting for confounding factors.

RESULTS

Among 341 352 participants with no prior history of major chronic diseases, there were 12 384 incident cases with pneumonia, 7054 with OA-LRTI and 795 with influenza during a 12-year follow-up. Compared with non-smokers, current smoking was associated with ⁓2-fold higher rates of severe IRD (HR 2.40 [2.27-2.53] for pneumonia, 1.99 [1.84-2.14] for OA-LRTI and 1.82 [95% confidence interval: 1.47-2.24] for influenza). Incidence of all severe IRDs were positively associated with amount of cigarettes smoked. The HRs for each IRD (except influenza) also declined with increasing duration since quitting.

CONCLUSIONS

Current cigarette smoking was positively associated with higher rates of IRD and the findings extend indications for tobacco control measures and vaccination of current smokers for prevention of severe IRD.

Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study

BACKGRUOUND

We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).

METHODS

Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1-4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.

RESULTS

During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1-4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.

CONCLUSION

Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.

Smoking behavior change and the risk of pneumonia hospitalization among smokers with diabetes mellitus

Smoking patients with diabetes mellitus (DM) are at greater risk of developing pneumonia. How smoking behavior changes affect the risk of pneumonia hospitalization, however, remains unclear. Therefore, we investigated the association between smoking behavior change and the risk of pneumonia hospitalization in patients with DM. From January 1, 2009 and December 31, 2018, we investigated the association between smoking behavior change and the risk of pneumonia hospitalization in patients with DM. A total of 332,798 adult patients with DM from the Korean National Health Insurance System database who underwent health screening examination between 2009 and 2012, and were smokers at the first health examination were included. During a mean follow-up of 4.89 years, 14,598 (4.39%) incident pneumonia hospitalization cases were identified. Reducers had a slightly increased risk of pneumonia hospitalization (aHR 1.06, 95% CI 1.01-1.10) compared to sustainers. Quitters did not have a significant association with incidence of pneumonia hospitalization. However, increasers had 13% higher risk of pneumonia hospitalization (aHR 1.13, 95% CI 1.07-1.18), regardless of whether initial smoking was light, moderate, or heavy. Our study showed that an increase in smoking intensity was associated with an increased risk of pneumonia hospitalization in people with DM. However, a protective effect of smoking reduction or cessation on pneumonia risk was not demonstrated.

Low and high serum IgG associates with respiratory infections in a young and working age population

BACKGROUND

We investigated health consequences and genetic properties associated with serum IgG concentration in a young and working age general population.

METHODS

Northern Finland Birth Cohort 1966 (NFBC1966, n = 12,231) health data have been collected from birth to 52 years of age. Relationships between life-long health events, medications, chronic conditions, lifestyle, and serum IgG concentration measured at age 46 years (n = 5430) were analysed. Regulatory mechanisms of serum IgG concentration were considered.

FINDINGS

Smoking and genetic variation (FCGR2B and TNFRSF13B) were the most important determinants of serum IgG concentration. Laboratory findings suggestive of common variable immunodeficiency (CVID) were 10-fold higher compared to previous reports (73.7 per 100,000 vs 0.6-6.9 per 100,000). Low IgG was associated with antibiotic use (relative risk 1.285, 95% CI 1.001-1.648; p = 0.049) and sinus surgery (relative risk 2.257, 95% CI 1.163-4.379; p = 0.016). High serum IgG was associated with at least one pneumonia episode (relative risk 1.737, 95% CI 1.032-2.922; p = 0.038) and with total number of pneumonia episodes (relative risk 2.167, 95% CI 1.443-3.254; p < 0.001).

INTERPRETATION

CVID-like laboratory findings are surprisingly common in our unselected study population. Any deviation of serum IgG from normal values can be harmful; both low and high serum IgG may indicate immunological insufficiency. Critical evaluation of clinical presentation must accompany immunological laboratory parameters.

FUNDING

Oulu University Hospital VTR, CSL Behring, Foundation for Pediatric Research.

Impact of National Tobacco Control Policy on Rates of Hospital Admission for Pneumonia: When Compliance Matters

A number of studies claim that tobacco control (TC) regulations are associated with reductions in smoking-related hospitalisation rates, but very few have estimated the impact of TC laws (TCL) at both countrywide and regional levels, and none of them have studied the impact of TCL in relation to compliance with TC regulations. This study evaluates the effects of Russian TCL on hospital admission (HA) rates for pneumonia countrywide and in 10 Russian regions and the extent of these effects in connection with the compliance with TCL. Methods: HA rates for pneumonia from 2005-2019 were analysed to compare the periods before and after the adoption of TCL in 2013. An interrupted time series design and a Poisson regression model were used to estimate the immediate and long-term effects of TCL on pneumonia annual hospitalisation rates after the TCL adoption, compared with the pre-law period. The 10 Russian regions were compared using the TCL implementation scale (TCIS) developed on the basis of the results of the Russian TC policy evaluation survey; Spearman's rank correlation and linear regression models were employed. Results showed a 14.3% reduction in HA rates for pneumonia (RR 0.88; p = 0.01) after the adoption of TCL in Russia with significant long-term effect after 2013 (RR 0.86; p = 0.006). Regions with better enforcement of TCL exhibited greater reductions in pneumonia HA rates (rsp = -0.55; p = 0.04); (β = -4.21; p = 0.02). Conclusions: TCL resulted in a sustained reduction in pneumonia hospitalisation rates, but these effects, varying by region, may depend on the scale of the TCL enforcement.

Impact of accumulative smoking exposure and chronic obstructive pulmonary disease on COVID-19 outcomes: report based on findings from the Japan COVID-19 task force

OBJECTIVES

Smoking and chronic obstructive pulmonary disease (COPD) are risk factors for severe COVID-19. However, limited literature exists on the effect of COPD and smoking on COVID-19 outcomes. This study examined the impact of smoking exposure in pack-years (PY) and COPD on COVID-19 outcomes among smokers in Japan.

METHODS

The study included 1266 smokers enrolled by the Japan COVID-19 task force between February 2020 and December 2021. PY and COPD status was self-reported by patients. Patients were classified into the non-COPD (n = 1151) and COPD (n = 115) groups; the non-COPD group was further classified into <10 PY (n = 293), 10-30 PY (n = 497), and >30 PY (n = 361). The study outcome was the need for invasive mechanical ventilation (IMV).

RESULTS

The incidence of IMV increased with increasing PY and was highest in the COPD group (<10 PY = 7.8%, 10-30 PY = 12.3%, >30 PY = 15.2%, COPD = 26.1%; P <0.001). A significant association was found for IMV requirement in the >30 PY and COPD groups through univariate (odds ratio [OR]: >30 PY = 2.11, COPD = 4.14) and multivariate (OR: >30 PY = 2.38; COPD = 7.94) analyses. Increasing PY number was also associated with increased IMV requirement in patients aged <65 years.

CONCLUSION

Cumulative smoking exposure was positively associated with COVID-19 outcomes in smokers.

Long-term Exposure to Ambient Air Pollutants and Increased Risk of Pneumonia in the UK Biobank

BACKGROUND

Short-term exposure to air pollution has been linked to pneumonia risk. However, evidence on the long-term effects of air pollution on pneumonia morbidity is scarce and inconsistent. We investigated the associations of long-term air pollutants exposure with pneumonia and explored the potential interactions with smoking.

RESEARCH QUESTION

Is long-term exposure to ambient air pollution associated with the risk of pneumonia, and does smoking modify the associations?

STUDY DESIGN AND METHODS

We analyzed data in 445,473 participants without pneumonia within 1 year before baseline from the UK Biobank. Annual average concentrations of particulate matter (particulate matter with a diameter < 2.5 μm [PM_2.5] and particulate matter with a diameter < 10 μm [PM₁₀]), nitrogen dioxide (NO₂), and nitrogen oxides (NO_x) were estimated using land-use regression models. Cox proportional hazards models were used to assess the associations between air pollutants and pneumonia incidence. Potential interactions between air pollution and smoking were examined on both additive and multiplicative scales.

RESULTS

The hazard ratios of pneumonia for each interquartile range increase in PM_2.5, PM₁₀, NO₂, and NO_x concentrations were 1.06 (95% CI, 1.04-1.08), 1.10 (95% CI, 1.08-1.12), 1.12 (95% CI, 1.10-1.15), and 1.06 (95% CI, 1.04-1.07), respectively. There were significant additive and multiplicative interactions between air pollution and smoking. Compared with never smokers with low air pollution exposure, ever smokers with high air pollution exposure had the highest pneumonia risk (PM_2.5: HR, 1.78; 95% CI, 1.67-1.90; PM₁₀: HR, 1.94; 95% CI, 1.82-2.06; NO₂: HR, 2.06; 95% CI, 1.93-2.21; NO_x: HR, 1.88; 95% CI, 1.76-2.00). The associations between air pollutants and pneumonia risk persisted in participants exposed to air pollutants concentrations meeting the European Union limits.

INTERPRETATION

Long-term exposure to air pollutants was associated with an increased risk of pneumonia, especially in smokers.

Associations between smoking and clinical outcomes after total hip and knee arthroplasty: A systematic review and meta-analysis

BACKGROUND

Smoking increases risk of several complications after total hip or knee arthroplasty (THA/TKA), so we systematically reviewed and meta-analyzed the literature to take into account all relevant evidence, particularly studies published since 2010.

METHODS

The PubMed, Ovid Embase, Web of Science, and EBSCOHost databases were searched and studies were selected and analyzed according to MOOSE recommendations. Methodological quality of included studies was assessed using the Newcastle-Ottawa Scale. Data were qualitatively synthesized or meta-analyzed using a random-effects model.

RESULTS

A total of 40 studies involving 3,037,683 cases were included. Qualitative analysis suggested that smoking is associated with worse patient-reported outcomes within one year after surgery, and meta-analysis showed that smoking significantly increased risk of the following outcomes: total complications (OR 1.41, 95% CI 1.01-1.98), wound complications (OR 1.77, 95% CI 1.50-2.10), prosthetic joint infection (OR 1.84, 95% CI 1.52-2.24), aseptic loosening (OR 1.62, 95% CI 1.12-2.34), revision (OR 2.12, 95% CI 1.46-3.08), cardiac arrest (OR 4.90, 95% CI 2.26-10.60), cerebrovascular accident (OR 2.22, 95% CI 1.01-4.85), pneumonia (OR 2.35, 95% CI 1.17-4.74), acute renal insufficiency (OR 2.01, 95% CI 1.48-2.73), sepsis (OR 4.35, 95% CI 1.35-14.00), inpatient mortality (OR 12.37, 95% CI 4.46-34.28), and persistent opioid consumption (OR 1.64, 95% CI 1.39-1.92).

CONCLUSION

Smoking patients undergoing THA and TKA are at increased risk of numerous complications, inpatient mortality, persistent opioid consumption, and worse 1-year patient-reported outcomes. Pre-surgical protocols for these outcomes should give special consideration to smoking patients.

Smoking is associated with infection risk in healthy blood donors

OBJECTIVES

There is a gap in knowledge about the effects of smoking on overall infection risk in otherwise healthy populations, possibly leading to underestimation of the dangers of smoking. The present study aimed to examine the association of smoking with the risk of infections in a large cohort of healthy blood donors.

METHODS

This cohort study used questionnaire and health register data from 127 831 Danish blood donors. Multivariable Cox proportional hazards analysis was applied to estimate the association of current smoking with the risk of all-cause infection defined as hospital-based treatment for infection or filled prescriptions of antimicrobials stratified for age and adjusted for relevant confounders.

RESULTS

Among 18 272 current smokers, 12 272 filled an antimicrobial prescription and 2035 received hospital-based treatment for infections. Among 101 974 non-smokers, 65 117 filled a prescription and 8501 received hospital-based treatment for infections. Smokers had a higher risk of all-cause infection than non-smokers (hazard ratio estimates were 1.27 in males and 1.33 in females for hospital-based treatment and 1.11 in males and up to 1.20 in females for filled prescriptions). Smoking was most strongly associated with an increased incidence of respiratory tract infection, abscesses, skin infection, and prescriptions for these ailments (hazard ratio up to 2.29). Furthermore, smokers' risk of filled prescriptions of broad-spectrum penicillin was increased (hazard ratio up to 1.96).

CONCLUSIONS

Current smoking was strongly associated with the risk of hospital-based treatment of infection and filled prescriptions of antimicrobials in a large cohort of healthy individuals. These findings warrant an increased focus on infectious disease risk among smokers.

Effects on Health of Passive Smoking and Vape on Terraces in the COVID-19 Pandemic: A Review

The health damage caused by passive smoking is well known in closed public spaces such as workplaces, inside homes and restaurants. However, at present, the number of smokers in open public spaces such as terraces has increased and consequently a loss of the quality of the air breathed, increasing the concentration of particles and other contaminating agents, affecting the health of workers and customers, of these spaces. Multiple studies show that high exposure to tobacco smoke in these environments augments the risk of developing cardiorespiratory diseases, especially in the vulnerable population, but also respiratory infections. Tobacco smoke can be an excellent vehicle for transmitting viral particles, favoring coronavirus disease 2019 (COVID-19).

Estimating the changing disease burden attributable to smoking in South Africa for 2000, 2006 and 2012

Background. Ongoing quantification of the disease burden attributable to smoking is important to monitor and strengthen tobacco control policies.Objectives. To estimate the attributable burden due to smoking in South Africa for 2000, 2006 and 2012.Methods. We estimated attributable burden due to smoking for selected causes of death in South African (SA) adults aged ≥35 years for 2000, 2006 and 2012. We combined smoking prevalence results from 15 national surveys (1998 - 2017) and smoking impact ratios using national mortality rates. Relative risks between smoking and select causes of death were derived from local and international data. Results. Smoking prevalence declined from 25.0% in 1998 (40.5% in males, 10.9% in females) to 19.4% in 2012 (31.9% in males, 7.9% in females), but plateaued after 2010. In 2012 tobacco smoking caused an estimated 31 078 deaths (23 444 in males and 7 634 in females), accounting for 6.9% of total deaths of all ages (17.3% of deaths in adults aged ≥35 years), a 10.5% decline overall since 2000 (7% in males; 18% in females). Age-standardised mortality rates (and disability-adjusted life years (DALYs)) similarly declined in all population groups but remained high in the coloured population. Chronic obstructive pulmonary disease accounted for most tobacco-attributed deaths (6 373), followed by lung cancer (4 923), ischaemic heart disease (4 216), tuberculosis (2 326) and lower respiratory infections (1 950). The distribution of major causes of smoking-attributable deaths shows a middle- to high-income pattern in whites and Asians, and a middle- to low-income pattern in coloureds and black Africans. The role of infectious lung disease (TB and LRIs) has been underappreciated. These diseases comprised 21.0% of deaths among black Africans compared with only 4.3% among whites. It is concerning that smoking rates have plateaued since 2010. Conclusion. The gains achieved in reducing smoking prevalence in SA have been eroded since 2010. An increase in excise taxes is the most effective measure for reducing smoking prevalence. The advent of serious respiratory pandemics such as COVID-19 has increased the urgency of considering the role that smoking cessation/abstinence can play in the prevention of, and post-hospital recovery from, any condition.

Prevalence, Antimicrobial Resistance, and Associated Factors of Streptococcus pneumoniae Colonization Rate among Old-Age Patients with Respiratory Tract Infection Attending Sheik Hassan Yebere Referral and Karamara General Hospitals, Jigjiga, Ethiopia

Background

Streptococcus pneumoniae is part of the normal flora of the upper respiratory tract of humans. Colonization of the upper respiratory tract (carriage of pneumococcus) by S. pneumoniae is considered a prerequisite for pneumococcal infection. It is the major cause of respiratory tract infection and frequent cause of physician visits, hospitalization, and death among old-aged patients because of their low immunity status. However, data on S. pneumoniae among old-aged patients in eastern Ethiopia are limited. This study was undertaken to determine the prevalence, antimicrobial resistance, and associated factor of S. pneumoniae colonization among old-aged patients.

Method

A health facility-based cross-sectional study was conducted from 1 March to 15 April 2020, at Sheik Hassan Yebere Referral and Karamara General Hospitals, Jigjiga, eastern Ethiopia. A total of 188 individuals greater than or equal to 60 years suspected of both upper and lower respiratory tract infections were included. Sociodemographic, behavioral, living conditions, and clinical data were collected by trained data collectors. Sputum samples were collected and examined for S. pneumoniae using the culture and biochemical tests as per the standard procedures. The Kirby–Bauer disk diffusion method was used for antimicrobial susceptibility testing. The data were entered on Epi-data version 3.1, and frequencies, crude odds ratio, and adjusted odds ratio were analyzed using SPSS version 20.

Results

The prevalence of S. pneumoniae colonization rate among old-aged patients was 13.8% (26/188) (95% CI: 9.6–19.1). Smoking (AOR = 3.3; 95% CI: 1.3–8.3), upper airway problems (AOR = 4.1; 95% CI: 1.1–15), and asthma disease (AOR = 3.1; 95% CI: 1.1–8.9) were the factors associated with S. pneumoniae colonization. The isolated organisms showed high antimicrobial resistance to trimethoprim-sulphamethoxazole (n = 12, 46.2%), tetracycline (n = 11, 42.3%), and ampicillin (n = 9, 34.6%).

Conclusion

This study showed that high prevalence of S. pneumoniae and antimicrobial resistance for trimethoprim-sulphamethoxazole, tetracycline, and ampicillin when compared to similar studies. Cigarette smoking, having upper airway problem, and asthma disease were factors associated with S. pneumoniae colonization. The provision of pneumococci conjugate vaccination and avoiding smoking are highly recommended for old aged in the community.

Effects of Smoking on SARS-CoV-2 Positivity: A Study of in Northern and Central California

Introduction

COVID-19 continues to impact vulnerable populations disproportionally. Identifying modifiable risk factors could lead to targeted interventions to reduce infections. The purpose of this study is to identify risk factors for testing positive for SARS-CoV-2.

Methods

Using electronic health records collected from a large ambulatory care system in northern and central California, the study identified patients who had a test for SARS-CoV-2 between 2/20/2020 and 3/31/2021. The adjusted effect of active and passive smoking and other risk factors on the probability of testing positive for SARS-CoV-2 were estimated using multivariable logistic regression. Analyses were conducted in 2021.

Results

Of 556 690 eligible patients in our sample, 70 564 (12.7%) patients tested positive for SARS-CoV-2. Younger age, being male, racial/ethnic minorities, and having mild major comorbidities were significantly associated with a positive SARS-CoV-2 test. Current smokers (adjusted OR: 0.69, 95% CI: 0.66-0.73) and former smokers (adjusted OR: 0.92, 95% CI: 0.89-0.95) were less likely than nonsmokers to be lab-confirmed positive, but no statistically significant differences were found when comparing passive smokers with non-smokers. The patients with missing smoking status (25.7%) were more likely to be members of vulnerable populations with major comorbidities (adjusted OR ranges from severe: 2.52, 95% CI = 2.36-2.69 to mild: 3.28, 95% CI = 3.09-3.48), lower income (adjusted OR: 0.85, 95% CI: 0.85-0.86), aged 80 years or older (adjusted OR: 1.11, 95% CI: 1.07-1.16), have less access to primary care (adjusted OR: 0.07, 95% CI: 0.07-0.07), and identify as racial ethnic minorities (adjusted OR ranges from Hispanic: 1.61, 95% CI = 1.56-1.65 to Non-Hispanic Black: 2.60, 95% CI = 2.5-2.69).

Conclusions

Our findings suggest that the odds of testing positive for SARS-CoV-2 were significantly lower in smokers compared to nonsmokers. Other risk factors include missing data on smoking status, being under 18, being male, being a racial/ethnic minority, and having mild major comorbidities. Since those with missing data on smoking status were more likely to be members of vulnerable populations with higher smoking rates, the risk of testing positive for SARS-CoV-2 among smokers may have been underestimated due to missing data on smoking status. Future studies should investigate the risk of severe outcomes among active and passive smokers, the role that exposure to tobacco smoke constitutes among nonsmokers, the role of comorbidities in COVID-19 disease course, and health disparities experienced by disadvantaged groups.

Association between smoking, e-cigarette use and severe COVID-19: a cohort study

BACKGROUND

Smoking is a risk factor for most respiratory infections, but it may protect against SARS-CoV-2 infection. The objective was to assess whether smoking and e-cigarette use were associated with severe COVID-19.

METHODS

This cohort ran from 24 January 2020 until 30 April 2020 at the height of the first wave of the SARS-CoV-2 epidemic in England. It comprised 7 869 534 people representative of the population of England with smoking status, demographic factors and diseases recorded by general practitioners in the medical records, which were linked to hospital and death data. The outcomes were COVID-19-associated hospitalization, intensive care unit (ICU) admission and death. The associations between smoking and the outcomes were assessed with Cox proportional hazards models, with sequential adjustment for confounding variables and indirect causal factors (body mass index and smoking-related disease).

RESULTS

Compared with never smokers, people currently smoking were at lower risk of COVID-19 hospitalization, adjusted hazard ratios (HRs) were 0.64 (95% confidence intervals 0.60 to 0.69) for <10 cigarettes/day, 0.49 (0.41 to 0.59) for 10-19 cigarettes/day, and 0.61 (0.49 to 0.74) for ≥20 cigarettes/day. For ICU admission, the corresponding HRs were 0.31 (0.24 to 0.40), 0.15 (0.06 to 0.36), and 0.35 (0.17 to 0.74) and death were: 0.79 (0.70 to 0.89), 0.66 (0.48 to 0.90), and 0.77 (0.54 to 1.09) respectively. Former smokers were at higher risk of severe COVID-19: HRs: 1.07 (1.03 to 1.11) for hospitalization, 1.17 (1.04 to 1.31) for ICU admission, and 1.17 (1.10 to 1.24) for death. All-cause mortality was higher for current smoking than never smoking, HR 1.42 (1.36 to 1.48). Among e-cigarette users, the adjusted HR for e-cigarette use and hospitalization with COVID-19 was 1.06 (0.88 to 1.28), for ICU admission was 1.04 (0.57 to 1.89, and for death was 1.12 (0.81 to 1.55).

CONCLUSIONS

Current smoking was associated with a reduced risk of severe COVID-19 but the association with e-cigarette use was unclear. All-cause mortality remained higher despite this possible reduction in death from COVID-19 during an epidemic of SARS-CoV-2. Findings support investigating possible protective mechanisms of smoking for SARS-CoV-2 infection, including the ongoing trials of nicotine to treat COVID-19.

Predicting the pulmonary effects of long-term e-cigarette use: are the clouds clearing?

Commercially available since 2007, e-cigarettes are a popular electronic delivery device of ever-growing complexity. Given their increasing use by ex-smokers, smokers and never-smokers, it is important to evaluate evidence of their potential pulmonary effects and predict effects of long-term use, since there has been insufficient time to study a chronic user cohort. It is crucial to evaluate indicators of harm seen in cigarette use, and those potentially unique to e-cigarette exposure. Evaluation must also account for the vast variation in e-cigarette devices (now including at least five generations of devices) and exposure methods used in vivo and in vitroThus far, short-term use cohort studies, combined with in vivo and in vitro models, have been used to probe for the effects of e-cigarette exposure. The effects and mechanisms identified, including dysregulated inflammation and decreased pathogen resistance, show concerning overlaps with the established effects of cigarette smoke exposure. Additionally, research has identified a signature of dysregulated lipid processing, which is unique to e-cigarette exposure.This review will evaluate the evidence of pulmonary effects of, and driving mechanisms behind, e-cigarette exposure, which have been highlighted in emerging literature, and highlight the gaps in current knowledge. Such a summary allows understanding of the ongoing debate into e-cigarette regulation, as well as prediction and potential mitigation of future problems surrounding e-cigarette use.

Incidence and risk factors for postoperative pneumonia following surgically treated hip fracture in geriatric patients: a retrospective cohort study

Objective

Large sample investigations for risk factors for pneumonia in elderly patients after hip fracture surgeries are lacking. The purpose of this study is to determine the incidence and risk factors for postoperative pneumonia in geriatric patients following hip fracture operations.

Methods

A retrospective study of incidence and risk factors in a tertiary referral center between 2016 and 2020 was conducted. Geriatric patients who developed postoperative pneumonia after surgeries of hip fracture during hospitalization stay were defined as cases and those without as controls. Multivariate logistic regression model was used to evaluate risk factors for postoperative pneumonia.

Results

This study included 3147 patients, and 182 developed postoperative pneumonia, denoting the rate of 5.8%. In the multivariate analyses, age (OR 1.04; 95% CI 1.02–1.06), sex (males) (OR 2.27; 95% CI 1.64–3.13), respiratory disease (OR 3.74; 95% CI 2.32–6.04), heart disease (OR 1.68; 95% CI 1.14–2.47), cerebrovascular disease (OR 1.58; 95% CI 1.11–2.27), liver disease (OR 2.61; 95% CI 1.33–5.15), preoperative stay (OR 1.08; 95% CI 1.05–1.11) and general anesthesia (OR 1.61; 95% CI 1.15–2.27) were identified as independent risk factors for postoperative pneumonia.

Conclusions

This study identified several risk factors for pneumonia in geriatric patients after hip fracture operations, providing a viable preventive strategy for optimizing clinical conditions for reduction of postoperative pneumonia.

Differences in disease severity and in-hospital mortality in patients hospitalised for pneumonia with and without intellectual disabilities: A matched-pair retrospective cohort study using nationwide in-patient database

BACKGROUND

We examined the association between intellectual disabilities (ID) and pneumonia severity at admission.

METHODS

We extracted patients admitted to hospital for pneumonia from July 2010 to March 2018 using the Diagnosis Procedure Combination database. We measured pneumonia severity using the A-DROP system. After 1:4 cohort matching between patients with and without ID, we conducted conditional logistic regression and mediation analyses.

RESULTS

Of 1,141,158 patients, 531 had ID, and they had more severe pneumonia at admission (24.5% vs. 9.5%; P < 0.001). ID was significantly associated with severe pneumonia at admission (OR = 3.50; 95% CI: 2.68-4.58) and activities of daily living (ADL) mediated 73.8% (95% CI: 50.9%-105.0%) of the total association.

CONCLUSIONS

Social barriers caused by reduced ADL may prevent patients with ID from accessing health care before their pneumonia becomes severe. Removing these barriers may decrease mortality from pneumonia among patients with ID by improving health care access.

Diagnostic index for acute eosinophilic pneumonia without bronchoscopy in military smokers

BACKGROUND/AIMS

Acute eosinophilic pneumonia (AEP) is common among military smokers; however, bronchoscopy is required for the diagnosis. We aimed to derive and validate a scoring system to diagnose AEP without bronchoscopy.

METHODS

We conducted a retrospective study including patients diagnosed with AEP or any other pneumonia among military smokers hospitalized in the Armed Forces Capital Hospital from 15 November 2016 through 25 December 2019. The patients were divided into derivation and validation groups according to their admission day. Patient symptoms, laboratory findings, and computed tomography findings were candidate variables. Least absolute shrinkage and selection operator (LASSO) regression was used to calculate the scores for each variable.

RESULTS

Among 414 patients, AEP was confirmed in 54 of 279 patients (19.4%) in the derivation group and in 18 of 135 patients (13.3%) in the validation group. Ten variables were selected using LASSO regression: new-onset or a recently increased smoking (≤ 4 weeks) (8 points), interlobular septal thickening (5 points), absence of sputum (3 points), ground glass opacity (3 points), acute onset (≤ 3 days) (2 points), dyspnea (2 points), chest pain (2 points), leukocytosis (2 points), bronchovascular bundle thickening (2 points), and bilateral involvement (2 points). The area under the receiver-operating characteristic curve of the score to diagnose AEP was 0.997 (95% confidence interval, 0.992 to 1.000) in the derivation group and 0.985 (95% confidence interval, 0.965 to 1.000) in the validation group.

CONCLUSION

We introduce a scoring system that can distinguish AEP from other types of pneumonia in military smokers without the need for bronchoscopy.

NLRP3 inflammasome activation in COVID-19: an interlink between risk factors and disease severity

NLRP3 inflammasome is a critical immune component that plays a crucial role in mounting innate immune responses. The deleterious effects of inflammasome activation have been correlated with the COVID-19 disease severity. In the presence of several underlying disorders, the immune components of our bodies are dysregulated, creating conditions that could adversely affect us other than providing a required level of protection. In this review, we focused on the occurrence of NLRP3 inflammasome activation in response to SARS-COV-2 infection, dysregulation of NLRP3 activation events in the presence of several comorbidities, the contribution of activated NLRP3 inflammasome to the severity of COVID-19, and available therapeutics for the treatment of such NLRP3 inflammasome related diseases based on current knowledge. The primed state of immunity in individuals with comorbidities (risk factors) could accelerate many deaths and severe COVID-19 cases via activation of NLRP3 inflammasome and the release of downstream inflammatory molecules. Therefore, a detailed understanding of the host-pathogen interaction is needed to clarify the pathophysiology and select a potential therapeutic approach.

The impact of behavioural risk factors on communicable diseases: a systematic review of reviews

Background

The coronavirus (COVID-19) pandemic has highlighted that individuals with behavioural risk factors commonly associated with non-communicable diseases (NCDs), such as smoking, harmful alcohol use, obesity, and physical inactivity, are more likely to experience severe symptoms from COVID-19. These risk factors have been shown to increase the risk of NCDs, but less is known about their broader influence on communicable diseases. Taking a wide focus on a range of common communicable diseases, this review aimed to synthesise research examining the impact of behavioural risk factors commonly associated with NCDs on risks of contracting, or having more severe outcomes from, communicable diseases.

Methods

Literature searches identified systematic reviews and meta-analyses that examined the association between behavioural risk factors (alcohol, smoking, illicit drug use, physical inactivity, obesity and poor diet) and the contraction/severity of common communicable diseases, including infection or associated pathogens. An a priori, prospectively registered protocol was followed (PROSPERO; registration number CRD42020223890).

Results

Fifty-three systematic reviews were included, of which 36 were also meta-analyses. Reviews focused on: tuberculosis, human immunodeficiency virus, hepatitis C virus, hepatitis B virus, invasive bacterial diseases, pneumonia, influenza, and COVID-19. Twenty-one reviews examined the association between behavioural risk factors and communicable disease contraction and 35 examined their association with communicable disease outcomes (three examined their association with both contraction and outcomes). Fifty out of 53 reviews (94%) concluded that at least one of the behavioural risk factors studied increased the risk of contracting or experiencing worse health outcomes from a communicable disease. Across all reviews, effect sizes, where calculated, ranged from 0.83 to 8.22.

Conclusions

Behavioural risk factors play a significant role in the risk of contracting and experiencing more severe outcomes from communicable diseases. Prevention of communicable diseases is likely to be most successful if it involves the prevention of behavioural risk factors commonly associated with NCDs. These findings are important for understanding risks associated with communicable disease, and timely, given the COVID-19 pandemic and the need for improvements in future pandemic preparedness. Addressing behavioural risk factors should be an important part of work to build resilience against any emerging and future epidemics and pandemics.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-12148-y.

Tobacco use pattern and quitting behaviour among healthcare professionals during the COVID-19 pandemic: Insights from a pan India online survey

Background

Healthcare professionals (HCPs) have a definite role in tobacco control and can help immensely by setting examples. The current study aimed to study the tobacco use pattern and quitting behaviour among HCPs of India during the COVID-19 pandemic.

Methods

We addressed the research objective using a cross-sectional, anonymous online survey using ‘google form” among 687 HCPs of India during December 2020. Descriptive and inferential statistics were performed using SPSS.

Results

Overall, 32.6% of the HCPs were ever tobacco user while 23.4% and 16.9% were current and daily tobacco user. During the COVID-19 pandemic, 51.7% and 43.1% of HCPs cut down the frequency and amount of tobacco use respectively while for 24.1% COVID-19 pandemic exerted no effect on their tobacco use. Presence of vulnerable population at home [ adjusted odds ratio (AOR): 17.5 (95% confidence interval (CI): 3.3–92.2)], ever tobacco quit attempt [AOR: 13.5 (95% CI:2.7–67.7)] and history of COVID-19 disease [AOR: 5.1 (95% CI:1.3–20.7)] significantly determined reduced tobacco use (60.3%) during the pandemic. Similarly, reduced tobacco use during the pandemic [AOR: 4.8 (95% CI:1.7–13.5)] and perception of both smoking and smokeless tobacco form to be harmful for COVID-19 [AOR: 4.8 (95% CI:1.7–13.5)] were the independent correlates of tobacco quit attempt (50.0%) during the pandemic.

Conclusion

Tobacco use was quite rampant among the HCPs with every fourth and sixth being a current and daily tobacco user respectively. During the COVID-19 pandemic three in every five HCPs surveyed reduced tobacco use while every second HCP made a quit attempt.

Assessment of Severe COVID-19 Outcomes Using Measures of Smoking Status and Smoking Intensity

Objective: Smoking status does not indicate the amount or length of tobacco use, and thus, it is an imperfect measure to assess the association between cigarette smoking and severe coronavirus disease 2019 (COVID-19) outcomes. This investigation assessed whether cigarette smoking status, intensity of smoking (i.e., average daily packs of cigarettes smoked), duration of smoking, and pack-years of smoking are associated with severe outcomes among adults diagnosed with COVID-19. Methods: We conducted a retrospective, cross-sectional study in which we identified consecutive patients diagnosed with COVID-19 at the University of Cincinnati healthcare system between 13 March 2020 and 30 September 2020 who had complete information on smoking status, severe COVID-19 outcomes, and covariates (i.e., demographics and comorbidities). We used logistic regression to evaluate the associations of smoking status and intensity of smoking with COVID-19 severity, defined as hospitalization, admission to intensive care unit (ICU), or death, adjusting for sociodemographics and comorbidities. Results: Among the 4611 COVID-19 patients included in the analysis, 18.2% were current smokers and 20.7% were former smokers. The prevalence of COVID-19 outcomes was 28.9% for hospitalization, 9.8% for ICU admission, and 1.4% for death. In the adjusted analysis, current smoking (AOR: 1.23, 95% CI: 1.02–1.49), former smoking (AOR: 1.28, 95% CI: 1.07–1.54), and pack-years of smoking (AOR: 1.09, 95% CI: 1.02–1.17) were associated with a higher prevalence of hospitalization. Average daily packs of cigarettes smoked was associated with a higher prevalence of hospitalization (AOR: 1.30, 95% CI: 1.10–1.53) and ICU admission (AOR: 1.23, 95% CI: 1.04–1.44). Conclusions: Smoking status, pack-years, and intensity of smoking were associated with hospitalizations in patients with COVID-19 and intensity of smoking was associated with ICU admission. The findings underscore the need for detailed information beyond smoking status when evaluating smokers with COVID-19 so that the potential for adverse sequelae may be optimally managed in at-risk patients.

Burden of Respiratory Infection and Tuberculosis Among US States from 1990 to 2019

PURPOSE

To estimate the incidence, death, disability-adjusted life years (DALYs) and attributable risk factors for respiratory infection and tuberculosis (RIT) in the US from 1990 to 2019.

METHODS

Following the methodology framework and analytical strategies used in the Global Burden of Disease Study 2019, the incidence, death, DALYs and risk factors of RIT were examined by age, gender and states from 1990 to 2019 in the US. All estimates were calculated as counts, age-standardized rates per 100,000 people and percentage change, with 95% confidence intervals (CIs).

RESULTS

In 2019, the age-standardized incidence, death and DALY rates per 100,000 people of RIT were 339,703 (95% CI 303,184 to 382,354), 13.6 (95% CI 12.2 to 14.4) and 384.9 (95% CI 330.6 to 458.6), respectively. Among RIT causes, upper respiratory infection accounted for the large majority of RIT age-standardized incidence rate, while lower respiratory infection constituted the highest proportion of RIT age-standardized death and DALY rates. The age-standardized incidence, death and DALY rates of RIT in 2019 and their temporal trends since 1990 varied widely across states and socio-demographic index. Among all attributable risk factors, smoking was the leading one for age-standardized RIT deaths in 2019, followed by low temperature and alcohol use (the attributable fractions were 17.7%, 15.3% and 6.9%, respectively).

CONCLUSION

Our results suggest that RIT remained a major cause of health burden in the US, with large disparities persisting between US states. Intervention efforts for RIT hotspots, high-risk populations and modifiable risk factors are necessary.

Effects of tobacco smoking on recurrent hospitalisation with pneumonia: a population-based cohort study

The incidence of and risk factors for recurrent hospitalisation for pneumonia were investigated using data from Hospital Episode Statistics, linked to a UK primary care database. Within 90 days and 1 year of follow-up, 1733 (3.1%) and 5064 (9.0%), developed recurrent pneumonia respectively. Smoking status at the time of hospitalisation with index pneumonia was associated with the risk of readmission with recurrent pneumonia within a year of discharge: current versus never smokers: adjusted subhazard ratio (sHR) 1.42, 95% CI 1.32 to 1.53, p<0.001, and ex smokers versus never smokers: adjusted sHR 1.24, 95% CI 1.15 to 1.34, p<0.001. Other independent risk factors associated with recurrent pneumonia were age, gender, deprivation and underlying comorbidities.

Prevalence of Anxiety in Smoking Cessation: A Worldwide Systematic Review and Meta-analysis

Objectives:

Smoking cessation can have a significant impact on mental health, so this study aimed to investigate the prevalence of anxiety after smoking cessation by a worldwide systematic review and meta-analysis.

Methods:

PubMed and Scopus were selected for the study and these were systematically searched until October 2020 based on a syntax of keywords. This search in these 2 databases is limited to English. The event and sample size were used to assess the prevalence of anxiety. The prevalence of anxiety was also assessed based on anxiety disorders and continents. The odds ratio (OR) was used to compare the odd of anxiety in smoking cessation versus nonsmokers and smokers as reference groups based on a random-effects method. Heterogeneity and publication bias were assessed.

Results:

The prevalence of anxiety after smoking cessation is 19% with a confidence interval (CI) of 14%-24%. Among anxiety disorders, it was the highest prevalence for social anxiety with 29% prevalence. The prevalence of anxiety after smoking cessation in America is 15% and in Europe is 29%. Smoking cessation has a higher odd of anxiety than nonsmokers (OR=1.20; CI: 1.12-1.29). Smoking cessation has a lower odd of anxiety than smokers (OR=0.77; CI: 0.66-0.89).

Discussion:

Since smoking cessation is a factor that reduces anxiety, so in studies in this area as well as therapeutic interventions, it is necessary to consider this issue.