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Tobacco Induced Diseases 2024Maternal smoking during pregnancy disturbs fetal lung development, and induces in their offspring childhood respiratory diseases. Whether it has a continued impact on...
INTRODUCTION
Maternal smoking during pregnancy disturbs fetal lung development, and induces in their offspring childhood respiratory diseases. Whether it has a continued impact on offspring adult lung health and exerts a casual effect of chronic respiratory diseases (CRDs), remains uncertain. We seek to determine the causal relationships between maternal smoking around birth and offspring adult CRDs, using summary data from previously described cohorts.
METHODS
Mendelian randomization (MR) study was used to analyze the genome-wide associations of maternal smoking around birth and offspring adult CRDs, including respiratory insufficiency, chronic obstructive pulmonary disease (COPD), related respiratory insufficiency, emphysema, COPD, COPD hospital admissions, early onset of COPD, later onset of COPD, asthma, idiopathic pulmonary fibrosis (IPF), lung cancer (LC), small cell lung carcinoma (SCLC), and lung squamous cell carcinoma (LUSC).
RESULTS
After removing single-nucleotide polymorphisms (SNPs) associated with smoking by the offspring, maternal smoking around birth was associated with increased risk of offspring adult respiratory diseases (OR=1.14; 95% CI: 1.013-1.284; p=0.030), respiratory insufficiency (OR=2.413; 95% CI: 1.039-5.603; p=0.040), COPD (OR=1.14; 95% CI: 1.013-1.284; p=0.003), and asthma (OR=1.336; 95% CI: 1.161-1.538; p<0.001). Besides, maternal smoking during pregnancy was associated with a greater risk of LUSC (OR=1.229; 95% CI: 0.992-1.523; p=0.059) than the risk of IPF (OR=1.001; 95% CI: 0.999-1.003; p=0.224), LC (OR=1.203; 95% CI: 0.964-1.501; p=0.103), or SCLC (OR=1.11; 95% CI: 0.77-1.601; p=0.577).
CONCLUSIONS
In this MR analysis, maternal smoking around birth caused a strong risk factor for the offspring to develop lung problems and CRDs in adulthood. The policy related to smoking cessation for mothers during pregnancy should be encouraged.
PubMed: 38938749
DOI: 10.18332/tid/189394 -
Frontiers in Toxicology 2024Smoking cigarettes is a cause of serious diseases in smokers, including cardiovascular disease. Through a pathway of endothelial dysfunction, lipid infiltration,...
BACKGROUND
Smoking cigarettes is a cause of serious diseases in smokers, including cardiovascular disease. Through a pathway of endothelial dysfunction, lipid infiltration, macrophage recruitment and vascular remodeling, atherosclerosis is fundamental in the development of most cardiovascular diseases. There is an increasing number of next-generation products (NGP) which provide potentially reduced harm forms of nicotine delivery to adult smokers. This study aimed to optimise an cardiovascular model to assess such products. Human Coronary Artery Endothelial Cells (HCAECs) were cultured on an OrganoPlate2-lane chip (Mimetas BV) combined with THP-1 monocytes under flow conditions.
METHODS
An aqueous aerosol extract from the 1R6F reference cigarette was compared with two categories of NGP, (a heated tobacco product (HTP) and an electronic nicotine delivery system (ENDS)), to assess relative effects on select atherogenic endpoints (oxidative stress, monocyte adhesion, ICAM-1 expression, and inflammatory markers). Following exposure of THP-1 monocytes with the aqueous extracts, the resulting conditioned medium was then added to the HCAEC vessels.
RESULTS
1R6F was consistently the most potent test article, eliciting observed responses at 4x lower concentrations than applied for both the HTP and ENDS. The HTP was more potent than the ENDS product across all endpoints, however, all test articles increased monocyte adhesion. ICAM-1 did not appear to be a main driver for monocyte adhesion, however, this could be due to replicate variability. Upon comparison to an extract-only control exposure, THP-1-medium pre-conditioning was an important mediator of the responses observed.
CONCLUSION
In conclusion, the data suggests that the NGP extracts, containing primary aerosol chemical constituents exhibit a marked reduction in biological activity in the early key events associated with atherogenesis when compared to a cigarette, adding to the weight of evidence for the tobacco harm reduction potential of such products.
PubMed: 38938662
DOI: 10.3389/ftox.2024.1395670 -
Frontiers in Immunology 2024The therapeutic effectiveness of immune checkpoint inhibitors (ICIs) in bladder cancer varies among individuals. Identifying reliable predictors of response to these...
BACKGROUND
The therapeutic effectiveness of immune checkpoint inhibitors (ICIs) in bladder cancer varies among individuals. Identifying reliable predictors of response to these therapies is crucial for optimizing patient outcomes.
METHODS
This retrospective study analyzed 348 bladder cancer patients treated with ICIs, with additional validation using data from 248 patients at our institution who underwent PD-L1 immunohistochemical staining. We examined patient smoking history, clinicopathological characteristics, and immune phenotypes. The main focus was the correlation between smoking history and immunotherapy outcomes. Multivariate logistic and Cox proportional hazard regressions were used to adjust for confounders.
RESULTS
The study cohort comprised 348 bladder cancer patients receiving ICIs. Among them, 116 (33.3%) were never smokers, 197 (56.6%) were former smokers (median pack-years = 28), and 35 (10.1%) were current smokers (median pack-years = 40). Analysis revealed no statistically significant difference in overall survival across different smoking statuses (objective response rates were 11.4% for current smokers, 17.2% for never smokers, and 22.3% for former smokers; = 0.142, 0.410, and 0.281, respectively). However, a notable trend indicated a potentially better response to immunotherapy in former smokers compared to current and never smokers. In the validation cohort of 248 patients from our institution, immunohistochemical analysis showed that PD-L1 expression was significantly higher in former smokers (55%) compared to current smokers (37%) and never smokers (47%). This observation underscores the potential influence of smoking history on the tumor microenvironment and its responsiveness to ICIs.
CONCLUSION
In conclusion, our study demonstrates the importance of incorporating smoking history in predicting the response to immunotherapy in bladder cancer patients, highlighting its role in personalized cancer treatment approaches. Further research is suggested to explore the comprehensive impact of lifestyle factors on treatment outcomes.
Topics: Humans; Urinary Bladder Neoplasms; Male; Female; Aged; Middle Aged; Retrospective Studies; Smoking; Immune Checkpoint Inhibitors; Immunotherapy; Treatment Outcome; B7-H1 Antigen; Aged, 80 and over; Adult
PubMed: 38938564
DOI: 10.3389/fimmu.2024.1404812 -
Frontiers in Endocrinology 2024To analyze the influencing factors for progression from newly diagnosed prediabetes (PreDM) to diabetes within 3 years and establish a prediction model to assess the...
INTRODUCTION
To analyze the influencing factors for progression from newly diagnosed prediabetes (PreDM) to diabetes within 3 years and establish a prediction model to assess the 3-year risk of developing diabetes in patients with PreDM.
METHODS
Subjects who were diagnosed with new-onset PreDM at the Physical Examination Center of the First Affiliated Hospital of Soochow University from October 1, 2015 to May 31, 2023 and completed the 3-year follow-up were selected as the study population. Data on gender, age, body mass index (BMI), waist circumference, etc. were collected. After 3 years of follow-up, subjects were divided into a diabetes group and a non-diabetes group. Baseline data between the two groups were compared. A prediction model based on logistic regression was established with nomogram drawn. The calibration was also depicted.
RESULTS
Comparison between diabetes group and non-diabetes group: Differences in 24 indicators including gender, age, history of hypertension, fatty liver, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting blood glucose, HbA1c, etc. were statistically significant between the two groups (P<0.05). Differences in smoking, creatinine and platelet count were not statistically significant between the two groups (P>0.05). Logistic regression analysis showed that ageing, elevated BMI, male gender, high fasting blood glucose, increased LDL-C, fatty liver, liver dysfunction were risk factors for progression from PreDM to diabetes within 3 years (P<0.05), while HDL-C was a protective factor (P<0.05). The derived formula was: In(p/1-p)=0.181×age (40-54 years old)/0.973×age (55-74 years old)/1.868×age (≥75 years old)-0.192×gender (male)+0.151×blood glucose-0.538×BMI (24-28)-0.538×BMI (≥28)-0.109×HDL-C+0.021×LDL-C+0.365×fatty liver (yes)+0.444×liver dysfunction (yes)-10.038. The AUC of the model for predicting progression from PreDM to diabetes within 3 years was 0.787, indicating good predictive ability of the model.
CONCLUSIONS
The risk prediction model for developing diabetes within 3 years in patients with PreDM constructed based on 8 influencing factors including age, BMI, gender, fasting blood glucose, LDL-C, HDL-C, fatty liver and liver dysfunction showed good discrimination and calibration.
Topics: Humans; Prediabetic State; Male; Female; Middle Aged; Risk Factors; Adult; Disease Progression; Follow-Up Studies; Risk Assessment; Diabetes Mellitus, Type 2; Body Mass Index; Blood Glucose; Aged; Waist Circumference; Prognosis; China
PubMed: 38938520
DOI: 10.3389/fendo.2024.1410502 -
JACC. Advances Dec 2023Lipid-lowering therapy (LLT) is a central aspect of the treatment of patients with coronary artery disease (CAD), and the benefits of LLT accrue over time. However,...
BACKGROUND
Lipid-lowering therapy (LLT) is a central aspect of the treatment of patients with coronary artery disease (CAD), and the benefits of LLT accrue over time. However, there are limited real-world data on longitudinal lipid control in patients with premature CAD.
OBJECTIVES
The purpose of this study was to assess longitudinal attainment of guideline-recommended lipid goals and outcomes in a contemporary cohort of patients with premature CAD.
METHODS
We enrolled males younger than 50 years and females younger than 55 years with coronary stenosis of >50% and examined achievement of lipid goals, LLT characteristics, and cardiovascular outcomes (major adverse cardiovascular event [MACE]).
RESULTS
Of 476 patients who presented with acute coronary syndrome (ST-elevation myocardial infarction, non-ST-segment elevation myocardial infarction, unstable angina) (68%), stable angina (28%), or other symptoms, 73.2% achieved low-density lipoprotein cholesterol (LDL-C) <1.8 mmol/L on at least 1 occasion, but only 27.3% consistently stayed in the target range for 3 years after diagnosis. Although 73.9% of patients received high-intensity LLT at the time of diagnosis, only 43.5% had good adherence over the following 3 years. In multivariable analysis, 1 mmol/L increase in time-weighted average exposure to LDL-C, but not the lowest achieved LDL-C, was associated with a higher risk of MACE, hazard ratio 2.02 (95% CI: 1.48-2.76), when adjusted for sex, age, hypertension, diabetes, and smoking.
CONCLUSIONS
We found low rates of longitudinal lipid target achievement in patients with premature CAD. Cumulative LDL-C exposure, but not lowest achieved LDL-C, was associated with risk of MACE. This highlights the critical importance of longitudinal control of lipids levels and identifies opportunities to improve LLT and maximize the time-dependent benefits of lipid-lowering.
PubMed: 38938482
DOI: 10.1016/j.jacadv.2023.100696 -
Tobacco Prevention & Cessation 2024Since the beginning of the COVID-19 pandemic, a growing number of studies have documented more severe COVID-19 symptoms and worse outcomes among smokers compared to...
INTRODUCTION
Since the beginning of the COVID-19 pandemic, a growing number of studies have documented more severe COVID-19 symptoms and worse outcomes among smokers compared to non-smokers. The aim of this research is to understand the views, risk perceptions, and behaviors of Lebanese adult smokers during the pandemic.
METHODS
We conducted 18 qualitative online structured interviews with adults who smoke cigarettes and waterpipe tobacco residing in Lebanon from November 2020 through April 2021. Participants were recruited predominantly via paid social media ads. Interviews were audio-recorded using Zoom software then transcribed verbatim. Data were analyzed thematically.
RESULTS
The findings showed three main themes: changes to smoking behaviors, concerns over the susceptibility and severity of COVID-19, and using coping methods to protect smokers from COVID-19. Although there was an increased risk perception of COVID-19 in relation to smoking, most participants reported an increase in smoking. Instead of being encouraged to quit, participants developed coping strategies against COVID-19 while smoking.
CONCLUSIONS
Smoking behavior did not seem to decrease during the COVID-19 pandemic. To support cessation initiatives and raise awareness, effective health messaging aimed at smokers is pivotal. Smoking cessation programs need to be better equipped at supporting people who smoke in finding healthier coping mechanisms during a pandemic. Moreover, policies to regulate the propagation of misinformation are required to prevent the development of a false sense of safety and protection from COVID-19.
PubMed: 38938265
DOI: 10.18332/tpc/189770 -
Health status and quality of life before critical illness: Northern Finland Birth Cohort 1966 study.Acta Anaesthesiologica Scandinavica Jun 2024Previous findings support the claim intensive care unit (ICU) patients have a higher rate of comorbidities and reduction of health- and functional status compared with...
BACKGROUND
Previous findings support the claim intensive care unit (ICU) patients have a higher rate of comorbidities and reduction of health- and functional status compared with the normal population.
AIM
In this prospective observational study, our aim was to determine those health-related factors at the age of 31 years which were associated with a later critical illness among previously un-hospitalized individuals by exploring data obtained from the Northern Finland Birth Cohort 1966 (NFBC1966).
METHODS
NFBC1966 is a Finnish birth cohort, which includes 12,058 live births with expected dates of delivery during 1966. The study was conducted among cohort participants who had not been hospitalized for any reason before the cohort follow-up visit at the age of 31. The study group included NFBC1966 participants who were admitted to the ICU of the Oulu University Hospital. The control group included participants who were treated for any reason in regular hospital wards. The data considering the participants' health status and behavior at the age of 31 were collected from the NFBC1966 database. The gathering of ICU and hospitalization data was concluded on December 31, 2016.
RESULTS
849 NFBC1966 participants met the inclusion criteria: 69 were treated in the ICU (study group) and 780 on regular hospital wards (controls). In the study group, the rate of neurological diseases (26% vs. 16%, 95% CI: -21.8%, -0.2%), malignancy (3% vs. 0.7%, 95% CI: -9.7%, 0.0%), alcohol abuse (4.5% vs. 1%, 95% CI: -11.5%, -0.3%) and smoking (77% vs. 65%, 95% CI: -21.6%, -0.3%) were higher compared with the control group. The patients in the ICU group were also more prone to violent injuries, (17% vs. 7%, 95% CI: -20.2%, -1.9%), practiced less hard physical activity (65% vs. 78%, 95% CI: 2.1%, 25.3%) and had lower maximal muscle strength according to the hand grip test (30 vs. 34 kg, 95% CI: -8.2, 8.6 kg).
CONCLUSIONS
In this study examining previously un-hospitalized patients, the main factors associated with future critical illness were neurological comorbidities, malignancy, alcohol misuse, smoking, low maximum muscle strength, and less frequent physical exercise compared with those with hospitalization not requiring ICU admission.
PubMed: 38938220
DOI: 10.1111/aas.14490 -
Journal of Preventive Medicine and... Jun 2024A substantial proportion of women experience mental health challenges during pregnancy or the postpartum period. Common mental disorders (CMDs), including depression,...
OBJECTIVES
A substantial proportion of women experience mental health challenges during pregnancy or the postpartum period. Common mental disorders (CMDs), including depression, anxiety, and obsessive-compulsive disorder, are prevalent. Identifying causes and associated risk factors is imperative for early intervention and the prevention of mental health issues.
METHODS
This study utilized data from the 2018 Basic Health Research, which was conducted nationwide in Indonesia, using a cross-sectional approach. We focused on women aged 13-49 years who were currently or previously married, and had experienced pregnancy, including 8,889 pregnant women and 77,012 women who had delivered between January 1, 2013, and August 31, 2018. The Self-Reporting Questionnaire-20 was employed to assess CMDs. Multivariate logistic regression was performed.
RESULTS
The prevalence of CMDs in pregnant women was 12.6%, while postpartum mothers exhibited a prevalence of 10.1%. Poor health status displayed the strongest impact on CMDs during both pregnancy (Adjusted Odds Ratio [AOR]: 12.23, 95% Confidence Interval [CI]: 9.06-16.60) and the postpartum period (AOR: 16.72, 95% CI: 14.85-18.82). Additional significant factors for both group include young maternal age, lack of education, unemployment, hystory of hypertension, and smoking status. Among pregnant women, CMDs was also associated with first-trimester pregnancy, previous pregnancy complications, and small upper arm circumference. For postpartum mothers, significant factors include history of abortion, unwanted pregnancy, pregnancy complications, lack of antenatal care, spontaneous delivery, postpartum complications and contraceptive use.
CONCLUSIONS
CMDs can impact in pregnant and postpartum women. Early diagnosis and management must be seamlessly integrated into primary healthcare practices.
PubMed: 38938048
DOI: 10.3961/jpmph.24.082 -
Addiction (Abingdon, England) Jun 2024The use of e-cigarettes may influence later smoking uptake in young people. Evidence and gap maps (EGMs) are interactive on-line tools that display the evidence and gaps... (Review)
Review
BACKGROUND AND AIMS
The use of e-cigarettes may influence later smoking uptake in young people. Evidence and gap maps (EGMs) are interactive on-line tools that display the evidence and gaps in a specific area of policy or research. The aim of this study was to map clusters and gaps in evidence exploring the relationship between e-cigarette use or availability and subsequent combustible tobacco use in people aged < 30 years.
METHODS
We conducted an EGM of primary studies and systematic reviews. A framework and an interactive EGM was developed in consultation with an expert advisory group. A systematic search of five databases retrieved 9057 records, from which 134 studies were included. Systematic reviews were appraised using AMSTAR-2, and all included studies were coded into the EGM framework resulting in the interactive web-based EGM. A descriptive analysis of key characteristics of the identified evidence clusters and gaps resulted in this report.
RESULTS
Studies were completed between 2015 and 2023, with the first systematic reviews being published in 2017. Most studies were conducted in western high-income countries, predominantly the United States. Cohort studies were the most frequently used study design. The evidence is clustered on e-cigarette use as an exposure, with an absolute gap identified for evidence looking into the availability of e-cigarettes and subsequent cessation of cigarette smoking. We also found little evidence analysing equity factors, and little exploring characteristics of e-cigarette devices.
CONCLUSIONS
This evidence and gap map (EGM) offers a tool to explore the available evidence regarding the e-cigarette use/availability and later cigarette smoking in people under the age of 30 years at the time of the search. The majority of the 134 reports is from high-income countries, with an uneven geographic distribution. Most of the systematic reviews are of lower quality, suggesting the need for higher-quality reviews. The evidence is clustered around e-cigarette use as an exposure and subsequent frequency/intensity of current combustible tobacco use. Gaps in evidence focusing on e-cigarette availability, as well as on the influence of equity factors may warrant further research. This EGM can support funders and researchers in identifying future research priorities, while guiding practitioners and policymakers to the current evidence base.
PubMed: 38937796
DOI: 10.1111/add.16583 -
BMC Medical Informatics and Decision... Jun 2024Pancreatic cancer possesses a high prevalence and mortality rate among other cancers. Despite the low survival rate of this cancer type, the early prediction of this...
BACKGROUND AND AIM
Pancreatic cancer possesses a high prevalence and mortality rate among other cancers. Despite the low survival rate of this cancer type, the early prediction of this disease has a crucial role in decreasing the mortality rate and improving the prognosis. So, this study.
MATERIALS AND METHODS
In this retrospective study, we used 654 alive and dead PC cases to establish the prediction model for PC. The six chosen machine learning algorithms and prognostic factors were utilized to build the prediction models. The importance of the predictive factors was assessed using the relative importance of a high-performing algorithm.
RESULTS
The XG-Boost with AU-ROC of 0.933 (95% CI= [0.906-0.958]) and AU-ROC of 0.836 (95% CI= [0.789-0.865] in internal and external validation modes were considered as the best-performing model for predicting the mortality risk of PC. The factors, including tumor size, smoking, and chemotherapy, were considered the most influential for prediction.
CONCLUSION
The XG-Boost gained more performance efficiency in predicting the mortality risk of PC patients, so this model can promote the clinical solutions that doctors can achieve in healthcare environments to decrease the mortality risk of these patients.
Topics: Humans; Pancreatic Neoplasms; Retrospective Studies; Male; Female; Middle Aged; Aged; Machine Learning; Risk Assessment; Prognosis; Models, Statistical; Adult; Algorithms
PubMed: 38937795
DOI: 10.1186/s12911-024-02590-4