Smoking-related Comorbidities Research Articles

The Benefits and Harms of Lung Cancer Screening in Individuals With Comorbidities

IntroductionIndividuals with a history of smoking and a high risk of lung cancer often have a high prevalence of smoking-related comorbidities. The presence of these comorbidities might alter the benefit-to-harm ratio of lung cancer screening by influencing the risk of complications, quality of life, and competing risks of death. Nevertheless, individuals with chronic diseases are underrepresented in screening clinical trials. In this study, we use microsimulation modeling to determine the impact of chronic diseases on lung cancer benefits and harms. MethodsWe extended a validated lung cancer screening microsimulation model that comprehensively recapitulates an individual’s lung cancer development, progression, detection, follow-up, treatment, and survival. We parameterized the model to reflect the impact of chronic diseases on complications from invasive testing, quality of life, and mortality in individuals in five-year age categories between the ages of 50 and 80 years. Outcomes included life-years (LY) gained per 100,000 in patients with chronic obstructive pulmonary disease, diabetes mellitus, heart disease, and history of stroke compared with screening-eligible individuals without comorbidities. ResultsAmong individuals between the ages of 50 and 54 years, we found that the presence of a comorbidity altered the LY gained from screening per 100,000 individuals depending on the comorbidity: 4296 LY with no comorbidities; 3462 LY, 3260 LY, 3031 LY, and 3257 LY with chronic obstructive pulmonary disease, heart disease, diabetes mellitus, and stroke, respectively. We observed greater reductions in LY gained in individuals with two comorbidities; we observed similar patterns for individuals between the ages of 55 and 59 years, 60 and 64 years, 65 and 69 years, 70 and 74 years, and 75 and 80 years. ConclusionsComorbidities reduce LY gained from screening per 100,000 compared with no comorbidities, and our results can be used by clinicians when discussing the benefits and harms of screening in their patients with comorbidities.

The Impact of Smoking Status and Smoking-Related Comorbidities on Coronavirus Disease 2019 Patient Outcomes: A Causal Mediation Analysis.

:IntroductionSmoking history is a known risk factor for significant chronic diseases as well as pulmonary infections; however, the impact of smoking status on COVID-19 outcomes has not been conclusively characterized. This study aims to evaluate the association of smoking status on COVID-19 outcomes, and to explore the mechanism by which smoking and smoking-related comorbidities relate to COVID-19 outcomes.MethodsPatients admitted with SARS-CoV-2 infection from November 2020 through January 2021 were included in this study. Causal mediation models investigating the associations between smoking status and the outcomes of mortality, intensive care unit (ICU) admission, advanced respiratory support, mechanical ventilation, ICU length of stay, and hospital length of stay, through mediation via smoking-related comorbidities, were examined.ResultsActive smokers did not experience worse COVID-19 outcomes once hospitalized. Former smokers had a higher odds of mortality (total effect OR 1.59, 95% CI 1.07-2.38, p=.01; indirect effect OR 1.45, 95% CI 1.09-1.93, p<.001), and advanced respiratory support (total effect OR 1.31, 95% CI 1.04-1.67, p=.02; indirect effect OR 1.26, 95% C1.03-1.54, p=.02), which were mediated by smoking-related comorbidities. While there was a non-significant increase in the total effect for mechanical ventilation, smoking-related comorbidities were significant mediators for their increased need (total effect OR 1.40, 95% CI 0.92-2.14, p=.13; indirect effect OR 1.47, 95% CI 1.10-1.87, p<.001).ConclusionWhile active smokers did not experience worse COVID-19 outcomes compared to never smokers, these results should be interpreted with caution. Compared to never smokers, former smokers had greater odds of mortality, advanced respiratory support, and mechanical ventilation which was significantly mediated through smoking-related comorbidities.ImplicationsPrevious studies have linked smoking status with worse COVID-19 outcomes, and have inferred that smoking-related comorbidities may play a role in these findings. This causal mediation analysis provides statistical evidence supporting this hypothesis, clarifying the risk that smoking-related comorbidities impart on COVID-19 outcomes in those with a smoking history.

Assessment of Smoking Dependence by FAGERSTRŐM Test and its Association with Some Comorbidities and Educational level

Background: Nicotine addiction is the inevitable result for many smokers. Regardless of control and intervention strategies for smoking cessation, it is important to determine the nicotine dependence score for each smoker. Objectives: To assess the nicotine dependence by FAGERSTRŐM Test for nicotine dependence (FTND score) and to find out the association of nicotine dependence with some smoking-related comorbidities and with the level of education. Patients and Methods: This is a cross-sectional study on a total of 200 adult smokers who were attending different departments in Al-Imamain Al-Kadhimain Medical City during the period from April 2019 to October 2019. Demographic data including age, sex and educational level, number of cigarettes/day, number of attempts to quit smoking, as well as comorbidities including hypertension, ischemic heart disease, and malignancies were obtained. Nicotine dependency was assessed by FTND which consists of six items and has a total maximum score of 10. Results: The overall average of FTND among smokers was 5.8 ± 2.81. A low score was found in 12.5% of the participants, moderate score in 33% and high score in 54.5%. FTND score showed a significant positive correlation with the number of cigarette/day (r= 0.758, p&lt; 0.001), age of the smoker (r= 0.457, p&lt;0.005), and duration of smoking (r= 0.536, p&lt; 0.001), while a negative correlation was found with the educational level (r=-0.547, p&lt;0.001). The presence Smoking-related comorbidities, particularly, ischemic heart disease (IHD) and malignancy, was associated with higher FTND scores compared with the absence of these comorbidities (P&lt;0.001). Conclusions: More than one half of smokers studied had a high nicotine dependence score. Nicotine dependence score correlates positively with the number of smoked cigarettes per day, age of the smoker and duration of smoking, and negatively correlated with the educational level.

Cancer PD1/PD-L1 inhibitor efficacy as stratified by smoking status: A population large database study.

2594 Background: Delineating clinical factors that predict immune checkpoint inhibitor (ICI) cancer therapy response is a pressing need and smoking is a known factor. In this study we leveraged a large international (heavily US) database to perform the largest study to date for all cancers and major cancer sub-sites/types. Methods: Utilizing the TriNetX electronic health records database with 84.3M patients we tested the hypotheses that ICI response stratifies based on smoking, and continued smoking after ICI. Queries were constructed using billing codes for all cancer types treated with an ICI with and without smoking. The smoking cohort was subsequently sub-stratified for continuing vs cessation of smoking after ICI. Next, using ICI therapy as the index event, odds ratios (OR) with 95% confidence intervals for death, and treatment related secondary outcomes were calculated between 0.5-5 years after ICI treatment. Statistics were calculated using TriNetX's integrated statistical platform before and after 1:1 propensity score matching (PSM) for smoking related co-morbidities. Results: The OR for death after ICI therapy for smokers ( n 13336) vs non-smokers ( n 38973) for any cancer type was 1.27(1.21-1.34) and decreased to 1.11(1.04-1.19) after PSM. Further sub-stratifying the smoking cohort for continued vs cessation of smoking yielded ORs of 1.13(1.03-1.24) and 1.12(1.01-1.24) before and after PSM respectively. Secondary outcomes included ablative surgery, chemotherapy, radiation, and secondary neoplasm. ORs for receiving chemotherapy, and developing secondary neoplasm were most consistently statistically significant across comparisons. Conclusions: Smoking adversely potentiates cancer outcomes after ICI therapy. PSM for smoking related comorbid conditions decreased the magnitude of this association although the findings remained clinically and statistically significant. This highlights the key role in smoking related co-morbid conditions as prognostic clinical characteristics. Furthermore, this suggests that smoking affects ICI on a mechanistic/biological level beyond increasing burden of medical comorbidities. Lastly, as smoking cessation also improved outcomes after PSM this further suggests that washout of smoke toxins has a mechanistic/biological effect on ICI activity. [Table: see text]

Tobacco Smoking and Risk of SARS-CoV-2 Infection and Disease Severity Among Adults in an Integrated Healthcare System in California.

The relationship between tobacco smoking status and SARS-CoV-2 infection and coronavirus disease 2019 (COVID-19) severity is highly debated. We conducted a retrospective cohort study of >2.4 million adults in a large healthcare system to evaluate whether smoking is associated with SARS-CoV-2 infection and disease severity. This retrospective cohort study of 2,427,293 adults in KPNC from March 5, 2020 (baseline) to December 31, 2020 (pre-vaccine) included smoking status (current, former, never), socio-demographics, and comorbidities from the electronic health record. SARS-CoV-2 infection (identified by a positive PCR test) and COVID-19 severity (hospitalization, ICU admission or death ≤ 30 days of COVID-19 diagnosis) were estimated in time-to-event analyses using Cox proportional hazard regression models adjusting for covariates. Secondary analyses examined COVID-19 severity among patients with COVID-19 using logistic regression. During the study, 44,270 patients had SARS-CoV-2 infection. Current smoking was associated with lower adjusted rates of SARS-CoV-2 infection (aHR = 0.64 95% CI: 0.61-0.67), COVID-19-related hospitalization (aHR = 0.48 95% CI: 0.40-0.58), ICU admission (aHR = 0.62 95% CI: 0.42-0.87), and death (aHR = 0.52 95% CI: 0.27-0.89) than never-smoking. Former smoking was associated with a lower adjusted rate of SARS-CoV-2 infection (aHR = 0.96 95% CI: 0.94-0.99) and higher adjusted rates of hospitalization (aHR = 1.10 95% CI: 1.03-1.08) and death (aHR = 1.32 95% CI: 1.11-1.56) than never-smoking. Logistic regression analyses among patients with COVID-19 found lower odds of hospitalization for current versus never-smoking and higher odds of hospitalization and death for former versus never-smoking. In the largest US study to date on smoking and COVID-19, current and former smoking showed lower risk of SARS-CoV-2 infection than never-smoking, while a history of smoking was associated with higher risk of severe COVID-19. In this cohort study of 2.4 million adults, adjusting for socio-demographics and medical comorbidities, current tobacco smoking was associated with a lower risk of both SARS-CoV-2 infection and severe COVID-19 illness compared to never-smoking. A history of smoking was associated with a slightly lower risk of SARS-CoV-2 infection and a modestly higher risk of severe COVID-19 illness compared to never-smoking. The lower observed COVID-19 risk for current versus never-smoking deserves further investigation. Results support prioritizing individuals with smoking-related comorbidities for vaccine outreach and treatments as they become available.

Incidental findings on lung cancer screening: pictorial essay and systematic checklist

ABSTRACTLung cancer screening (LCS) programs are increasing worldwide. Incidental findings (IFs) on LCS are defined as low-dose CT findings unrelated to the primary purpose of identifying lung cancer. Most IFs on LCS are benign and clinically insignificant but are being increasingly recognized, and some require urgent referral for further diagnostic workup. Other findings are expected and are known as smoking-related comorbidities, including COPD, cardiovascular disease, emphysema, and interstitial lung disease, and their diagnosis can have a significant impact on patient prognosis. The purpose of this pictorial essay is to illustrate the most common IFs on LCS, organized by organ. We will discuss the current literature on IFs on LCS, focusing on their prevalence, appropriate communication, and triggering of clinical pathway systems.

Smoking Cessation in Stroke Survivors in the United States: A Nationwide Analysis.

Continued smoking after stroke is associated with a high risk of stroke recurrence and other cardiovascular disease. We sought to comprehensively understand the epidemiology of smoking cessation in stroke survivors in the United States. Furthermore, we compared smoking cessation in stroke and cancer survivors because cancer is another smoking-related condition in which smoking cessation is prioritized. We performed a cross-sectional analysis of data from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System, an annual, nationally representative health survey. Using pooled data from 2013 to 2019, we identified stroke and cancer survivors with a history of smoking. We used survey procedures to estimate frequencies and summarize quit ratios with attention to demographic and geographic (state-wise and rural-urban) factors for stroke survivors. The quit ratio is conventionally defined as the proportion of ever smokers who have quit. Then, we used multivariable logistic regression to compare quit ratios in stroke and cancer survivors while adjusting for demographics and smoking-related comorbidities. Among 4 434 604 Americans with a history of stroke and smoking, the median age was 68 years (interquartile range, 59-76), and 45.4% were women. The overall quit ratio was 60.8% (95% CI, 60.1%-61.6%). Quit ratios varied by age group, sex, race and ethnicity, and several geographic factors. There was marked geographic variation in quit ratios, ranging from 48.3% in Kentucky to 71.5% in California. Furthermore, compared with cancer survivors, stroke survivors were less likely to have quit smoking (odds ratio, 0.72 [95% CI, 0.67-0.79]) after accounting for differences in demographics and smoking-related comorbidities. There were considerable demographic and geographic disparities in smoking quit ratios in stroke survivors, who were less likely to have quit smoking than cancer survivors. A targeted initiative is needed to improve smoking cessation for stroke survivors.

Abstract MP28: Nationwide Racial Disparities in Smoking Cessation After Stroke in the United States

Introduction: Black Americans face a higher risk of recurrent stroke than White Americans, and the reasons are unclear. Smoking after stroke is associated with a higher risk of recurrence. We investigated whether there are racial disparities in smoking cessation among stroke survivors in the United States. Methods: We performed a cross-sectional analysis of data from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System, an annual, nationally representative health survey. Respondents are asked about medical conditions and health-related behaviors. We pooled data from 2013-2018, during which race and ethnicity were uniformly reported. We included respondents with prior stroke and any smoking history. The exposure was self-reported race, and the outcome was smoking cessation. We calculated the quit ratio, defined as the proportion of former smokers among ever smokers; this is a standard measure in population-based studies of smoking cessation. Survey procedures were used to estimate frequencies and summarize quit ratios by race. Multiple logistic regression was used to assess the association of Black race with smoking cessation, as compared to White race, while adjusting for age, gender, Hispanic ethnicity, education, income, health insurance, and the number of smoking-related health conditions (heart disease, lung disease, cancer) that may prompt cessation. Results: Among 4,374,011 Americans with a history of stroke and any smoking, the median age was 67 years (IQR, 58-76), and 45.7% were women; 15.4% were Black, 74.8% were White, and 9.8% reported other race. The crude quit ratio was 51.4% (95% CI, 49.0-53.7) in Black and 63.2% (95% CI, 62.4-64.1) in White stroke survivors. In unadjusted analyses, Black stroke survivors were less likely to have quit smoking than White stroke survivors (OR, 0.61; 95% CI, 0.55-0.68). This remained the case after accounting for differences in demographics and smoking-related comorbidities (OR, 0.85; 95% CI, 0.74-0.98). Conclusion: In this nationwide study, Black stroke survivors had lower smoking quit rates than White stroke survivors, even after accounting for group differences. Expanding access to smoking-cessation interventions may reduce disparities in recurrent stroke.

Smoking Behaviour and Beliefs About Smoking Cessation After Bariatric Surgery

PurposeCurrently, bariatric surgery is the most effective intervention for treating morbid obesity and its complications. Smoking cessation is likely to improve smoking-related comorbidities and decrease postoperative complications. This study evaluated the smoking behaviour and thoughts about smoking cessation of patients more than 18 months after bariatric surgery.Materials and MethodsA cross-sectional study was performed in patients who underwent bariatric surgery from July 2012 to December 2013. A questionnaire was used to evaluate smoking status, thoughts about the health benefits of cessation and characteristics of previous quit attempts in current and former smokers. Finally, actual bariatric surgery outcomes were evaluated in current, former and never smokers.ResultsSix hundred nine patients (response rate 52.0%) were included. Of them, 101 (16.6%) patients were current smokers, 239 (39.2%) former smokers and 269 (44.2%) patients were lifetime never smokers. Compared with former smokers, current smokers were less aware of the beneficial effects of smoking cessation on their general health; 66.4% of the former smokers thought smoking cessation would be much better for general health, compared with 20.6% of current smokers. Total weight loss was 2.8% higher in current smokers compared with former smokers. Actual long-term bariatric surgery outcomes were not significantly different between the groups.ConclusionDespite advice to quit smoking and temporary quitting before surgery, a considerable group of bariatric surgery patients continues smoking after surgery. These patients were less aware of the beneficial effects of smoking cessation. This study emphasizes the need for better strategies to increase the number of successful cessations.

A more effective approach to lung cancer screening?

A more effective approach to lung cancer screening?

Beliefs and Self-reported Practices of Health Care Professionals Regarding Electronic Nicotine Delivery Systems: A Mixed-Methods Systematic Review and Synthesis.

This review explores the (1) beliefs and attitudes of health care professionals (HCPs) toward electronic nicotine delivery systems (ENDS) including use as a smoking cessation aid and/or harm reduction, safety and regulation, and (2) the extent and content of patient-HCP communication about ENDS. PubMed, Embase, CINAHL, and PsycINFO were searched to identify articles published since 2003. The Mixed Methods Appraisal Tool and Strengthening the Reporting of Observational Studies in Epidemiology checklists were used to assess the quality of studies. Thematic synthesis was used to analyze qualitative data. A total of 45 articles (32 quantitative, 12 qualitative, and 1 mixed) were included. There was wide variation regarding beliefs about the efficacy of ENDS as a cessation aid. Although the majority of HCPs believes that ENDS are safer than combustible cigarettes, they also have concern about the short and long-term safety of ENDS, uptake by adolescents, and the potential for ENDS to act as a "gateway" to smoking cigarettes. Beliefs about ENDS are influenced by media stories and experiences provided by patients. Although most HCPs do not proactively recommend ENDS, they are more likely to support ENDS use among patients with smoking related comorbidities, heavy smokers with previous unsuccessful quit attempts, or patients who express interest in trying them. Overall, HCPs hold diverse views about the efficacy of ENDS and expressed wariness over their potential health effects. HCP endorsement of ENDS use seems to depend largely on patient health status, the presence of other competing risk factors and patient preferences. Although evidence on safety and efficacy of ENDS is emerging, HCPs should be honest with their clients, stating that the long-term safety is not yet established but what is known is that they appear to be a lower risk alternative to cigarettes. Our review highlights a need for further training and support for HCPs regarding ENDS use, which would enable them to guide their clients in making evidence-based decisions.

Novel development of Spectra-A using indocyanine green for segmental boundary visibility in thoracoscopic segmentectomy

BackgroundOur previous report suggested that fluorescence thoracoscopic anatomical segmentectomy (TAS) using intravenous (IV) indocyanine green (ICG) injection is safe, feasible, and efficacious for identifying segmental boundaries. However, contrast visualization in the conventional indocyanine green mode (CIM) remains relatively obscure in smoking-related comorbidities. Our aim was to evaluate the safety and efficacy of recently released Spectra-A with CIM by simultaneous observation. Materials and methodsWe postoperatively analyzed captive imaging using histogram counts in 29 patients who underwent TAS and previously reported that Δ indicates the index of visualization obtained by subtraction from its representative illuminated signal quantities of maximum pixels so that light-shade, intensity-removed image signals are obtained. ResultsSixteen (55.2%) patients were male, and 13 (44.8%) were female. Segmental boundaries were successfully visualized in all patients (100%). The histogram count widths in dim and bright segments with CIM were 13.3 ± 3.8 and 52.5 ± 12.2, and those with Spectra-A were 19.4 ± 6.1 and 118.1 ± 37.4, respectively. The mean value was 4.3-fold higher for ΔSpa-A (61.4 ± 33.2) than for ΔCIM (14.2 ± 8.5) (P < 0.01). In 14 (48.3%) patients, the segmental boundary could not be clearly visualized using CIM but was explicitly identified using Spectra-A. ConclusionsSpectra-A is a safe and promising noninvasive alternative like CIM, and more effective because of overcoming the limitation of CIM, but its use should be studied further to determine its usefulness in identifying segmental boundaries.

Racial and Ethnic Disparities in Early-Stage Lung Cancer Survival

Black patients with lung cancer diagnosed at early stages-for which surgical resection offers a potential cure-experience worse overall survival than do their white counterparts. We undertook a population-based study to estimate the racial and ethnic disparity in death from competing causes and assessed its contribution to the gap in overall survival among patients with early-stage lung cancer. We collected survival time data for 105,121 Hispanic, non-Hispanic Asian, non-Hispanic black, and non-Hispanic white patients with early-stage (IA, IB, IIA, and IIB) lung cancer diagnosed between 2004 and 2013 from the Surveillance, Epidemiology, and End-Results registries. We modeled survival time using competing risk regression and included as covariates sex, age at diagnosis, race/ethnicity, stage at diagnosis, histologic type, type of surgical resection, and radiation sequence. Adjusting for demographic, clinical, and treatment characteristics, non-Hispanic blacks experienced worse overall survival compared with non-Hispanic whites (adjusted hazard ratio [aHR], 1.05; 95%CI, 1.02-1.08), whereas Hispanics and non-Hispanic Asians experienced better overall survival (aHR, 0.93; 95%CI, 0.89-0.98; and aHR, 0.82; 95%CI, 0.79-0.86, respectively). Worse survival from competing causes of death, such as cardiovascular disease and other cancers-rather than from lung cancer itself-led to the disparity in overall survival among non-Hispanic blacks (adjusted relative risk, 1.07; 95%CI, 1.02-1.12). Narrowing racial and ethnic disparities in survival among patients with early-stage lung cancer will rely on more than just equalizing access to surgical resection and will need to include better management and treatment of smoking-related comorbidities and diseases.

Higher Mortality Rates in Breast and Lung Cancer Patients Admitted for Febrile Neutropenia: An Analysis of Outcomes Based on Data from the Nationwide Inpatient Sample from 2006-2013

Background: Febrile neutropenia is associated with significant morbidity, mortality, healthcare resource utilization and associated cost. However, data regarding the relationship of specific cancers with admission for febrile neutropenia and their outcomes is lacking.Methods: Using the ICD-9 codes 288.00 and 288.04, we identified all adult admissions with primary diagnosis of febrile neutropenia during the interval of 2006-2013 from the Nationwide Inpatient Sample (NIS). Hospitalization information regarding mortality rates, length of stay and total charges was extracted for each year. Total cost was adjusted for inflation using data from the U.S. Bureau of Labor Statistics. Differences in these variables in teaching and nonteaching institutions were evaluated. ICD-9 codes for esophageal, colon, rectal, liver, pancreatic, bladder, prostate, cervical, renal, thyroid, lung, and melanoma skin cancers were selected and the percentage of admissions attributed to each malignancy was determined.Results: We identified 48,253 admissions (weighted N = 233,116) with a primary diagnosis of febrile neutropenia from 2006-2013. Most of these admissions occurred at teaching institutions (n=28,902, weighted n=139,574). In-hospital mortality rates for febrile neutropenia had a downward trend over the time period of 2006-2013 although the difference was not statistically significant (p=.082). Specifically, the in-hospital mortality rate was 2.73% in 2006 and 1.35% in 2013. Mean length of stay (days) has decreased from 5.67 (±.16) in 2006 to 5.32 (±0.06) in 2013 (p=.0001) while total charges have increased from $29,113 (±1089) in 2006 to $41,713 (±726) in 2013 (p=.0001). This is greater than the expected inflationary change from $29,133 to $33,641 over the same time period. Mean length of stay (days) was found to be higher at teaching (5.89±.03) than at non-teaching (5.25±.04) hospitals (p=.0001). Similarly, mean total charges were higher in teaching ($41,577±364) than in non-teaching ($34,176±345) institutions (p=.0001). When comparing teaching vs. non-teaching institutions, in-hospital mortality was not found to have a statistically significant difference (p=.2688). Of the 13 malignancies queried, lung cancer (11.06%) and breast cancer (8.40%) accounted for more admissions for febrile neutropenia than the other malignancies selected. Breast cancer (3.62%, p=.0001) and lung cancer (16.11%, p=.0001) were also associated with much higher in-hospital mortality rates compared with the other malignancies selected.Conclusions: Breast and lung cancer account for a significant number of admissions for febrile neutropenia, which is consistent with their national prevalence. Of particular note,breast and lung cancer patients who were admitted for febrile neutropenia had a higher risk of mortality. In lung cancer, the frequently associated smoking-related comorbidities may be contributing to this finding. While in breast cancer, patients with advanced disease have an increase in cumulative lifetime dose of chemotherapy due to prolonged survival and this may result in a weakened bone marrow, a more susceptible patient, and consequently an increase in febrile neutropenia and mortality rates. Thus, given the greater mortality rate and significant number of patients affected, patients with these two malignancies should receive special attention to ensure they receive prophylaxis with granulocyte stimulating agents and/or antibiotics after treatment with cytotoxic chemotherapy. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

Determinants of Smoking and Quitting in HIV-Infected Individuals.

BackgroundCigarette smoking is widespread among HIV-infected patients, who confront increased risk of smoking-related co-morbidities. The effects of HIV infection and HIV-related variables on smoking and smoking cessation are incompletely understood. We investigated the correlates of smoking and quitting in an HIV-infected cohort using a validated natural language processor to determine smoking status.MethodWe developed and validated an algorithm using natural language processing (NLP) to ascertain smoking status from electronic health record data. The algorithm was applied to records for a cohort of 3487 HIV-infected from a large health care system in Boston, USA, and 9446 uninfected control patients matched 3:1 on age, gender, race and clinical encounters. NLP was used to identify and classify smoking-related portions of free-text notes. These classifications were combined into patient-year smoking status and used to classify patients as ever versus never smokers and current smokers versus non-smokers. Generalized linear models were used to assess associations of HIV with 3 outcomes, ever smoking, current smoking, and current smoking in analyses limited to ever smokers (persistent smoking), while adjusting for demographics, cardiovascular risk factors, and psychiatric illness. Analyses were repeated within the HIV cohort, with the addition of CD4 cell count and HIV viral load to assess associations of these HIV-related factors with the smoking outcomes.ResultsUsing the natural language processing algorithm to assign annual smoking status yielded sensitivity of 92.4, specificity of 86.2, and AUC of 0.89 (95% confidence interval [CI] 0.88–0.91). Ever and current smoking were more common in HIV-infected patients than controls (54% vs. 44% and 42% vs. 30%, respectively, both P<0.001). In multivariate models HIV was independently associated with ever smoking (adjusted rate ratio [ARR] 1.18, 95% CI 1.13–1.24, P <0.001), current smoking (ARR 1.33, 95% CI 1.25–1.40, P<0.001), and persistent smoking (ARR 1.11, 95% CI 1.07–1.15, P<0.001). Within the HIV cohort, having a detectable HIV RNA was significantly associated with all three smoking outcomes.ConclusionsHIV was independently associated with both smoking and not quitting smoking, using a novel algorithm to ascertain smoking status from electronic health record data and accounting for multiple confounding clinical factors. Further research is needed to identify HIV-related barriers to smoking cessation and develop aggressive interventions specific to HIV-infected patients.

Psychological distress related to smoking cessation in patients with acute myocardial infarction.

Among all causes of preventable deaths, smoking is responsible for the greatest number of deaths worldwide and predisposes to fatal, noncommunicable diseases, especially cardiovascular diseases. Lifestyle changes are effective in the treatment of patients with smoking-related diseases and assist in the prevention of premature mortality. Our objective was to investigate the available scientific evidence regarding the psychological distress related to smoking cessation in patients who have had acute myocardial infarction. To that end, we conducted an integrative review of the literature in order to summarize relevant studies on this topic. The selected databases were Scopus, PubMed Central, Institute for Scientific Information Web of Science (Core Collection), ScienceDirect, EMBASE, SciELO, LILACS e PsycINFO. On the basis of the inclusion and exclusion criteria adopted for this study, 14 articles were selected for analysis. Those studies showed that the prevalence of psychological distress is higher among smokers than among nonsmokers, and distress-related symptoms are much more common in smokers with acute myocardial infarction than in those without. Smoking cessation depends on the active participation of the smoker, whose major motivation is the underlying disease. Most studies have shown that there is a need to create treatment subgroups as a means of improving the treatment provided. This review article expands the knowledge regarding smoking cessation and shows the need to invest in future research that investigates subgroups of smokers diagnosed with the major smoking-related comorbidities, such as acute myocardial infarction, in order to develop specific interventions and psychological support strategies.

Cancer risk in patients aged 30 years and above with type 2 diabetes receiving antidiabetic monotherapy: a cohort study using metformin as the comparator.

IntroductionAccumulating evidence suggests that metformin reduces incident cancer development. Few cohort studies have evaluated the risk of subsequent cancer development in diabetic cohorts receiving antidiabetic monotherapy. We conducted a population-based study in patients with new-onset type 2 diabetes treated with antidiabetic monotherapy.MethodsWe identified a cohort of patients with type 2 diabetics aged ≥30 years receiving hypoglycemic monotherapy (n=7,325) from the 1998–2007 Longitudinal Health Insurance Dataset. Patients were grouped according to the antidiabetic therapy they received into metformin (n=2,223), sulfonylurea (n=3,965), glitazone (n=53), meglitinide (n=128), acarbose (n=150), and insulin (n=806) groups. Patients with preexisting cancer were excluded. All patients were followed up until cancer development, dropout, death, or until December 31, 2008. Cox’s model was used to estimate multivariable hazard ratios (HRs) adjusted for age, sex, Charlson comorbidity index, smoking-related comorbidities, alcohol use disorders, morbid obesity, pancreatitis, hypertension, monthly income, and urbanization level. The log-rank test was used to compare cumulative cancer incidence. Two-sided P-values <0.05 were required to reject the null hypothesis.ResultsThe overall median follow-up duration was 2.5 years (interquartile range, 3.6 years). Totally, 367 and 124 cancers developed in the sulfonylurea and metformin groups, respectively, representing an adjusted HR of 1.36 (95% confidence interval [CI], 1.11–1.67; P<0.005). No significant differences were observed between other groups. Increased adjusted HRs were observed for colorectal cancer (adjusted HR, 1.94; 95% CI, 1.15–3.27; P<0.05) and lung cancer (adjusted HR, 1.76; 95% CI, 1.00–3.07; P<0.05).ConclusionMetformin monotherapy may be associated with a reduction in the risk for cancer development compared with sulfonylurea monotherapy. Moreover, the use of an average defined daily dose of >0.25 of metformin when compared to lower dose will contribute to a reduction of 80% risk.

HIV infection and lung function decline

HIV infection and lung function decline

Clinical phenotypes related to smoking cessation

IntroductionThe aim of the current study is the identification of clinical phenotypes of patients visiting a specialized smoking cessation center and the determination of smoking cessation rate for each phenotype, 1year after the initial evaluation. MethodsSeven hundred eighty-three smokers who visited the outpatient clinic were included in the study. Demographic data, smoking habits, tobacco dependence and comorbidities were recorded. Smoking cessation rates and carbon monoxide levels were determined 1year after the initial evaluation. ResultsΤhe overall smoking cessation rate 1year after the initial evaluation was 32.3%. Four distinct phenotypes were identified. The first one included mainly young women with low tobacco dependence and allergic profile. The second and the third ones included mainly men with high tobacco dependence, without comorbidities, treated with varenicline and bupropione SR, respectively. The fourth one included mainly older men with high tobacco dependence and smoking related comorbidities. Smoking cessation rates for each phenotype were 33.8, 39.4, 23.3, and 24.6%, respectively. ConclusionPatients visiting a specialized smoking cessation center can be categorized in different phenotypes. Phenotyping may lead to a more personalized approach concerning smoking cessation.

Effectiveness of Varenicline as an Aid to Smoking Cessation in Primary Care: An Observational Study

Aims: Although varenicline is commonly prescribed in primary care, information on smoking-related comorbidities and the effectiveness of varenicline in this context in Germany is scarce. This study assessed the efficacy and safety of varenicline in a large sample of patients seeking smoking cessation treatment through their general practitioners. The frequency of comorbidities was also evaluated. Methods: This was a 12-week, prospective, observational, non-comparative phase IV trial conducted in Germany. Abstinence rates at week 12 were evaluated by verbal reporting using the nicotine use inventory. Results: Overall, 1,391 subjects were enrolled; 1,177 received study medication and were evaluated for effectiveness and safety. At the end of the study, 71.1% (95% confidence interval 68.5–73.7) of subjects were abstinent. There were a total of 205 all-causality adverse events; 2.2% were classified as serious or severe. There were no fatal adverse events. At inclusion, 66.7% of participants had at least 1 concurrent comorbidity, with chronic obstructive pulmonary disease (35.5%), hypertension (29.6%) and depression (10.4%) being the most commonly reported. Conclusion: These real-world data indicate that varenicline is an effective and well-tolerated smoking cessation treatment when used in the primary care setting including patients with smoking-related comorbidities.