Assessing costs and constraints of forest residue disposal by pile burning by Jake Barker, Jake Barker, Jimmy Voorhis, Sinéad M. Crotty

“…In addition, pile burning on these National Forests annually emits >1.7 million MT CO2, 61,515 MT of carbon monoxide, 3,823 MT of methane, and 3,211 MT of non-methane hydrocarbons. …”
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Features and predictive value of 6-min walk test outcomes in interstitial lung disease: an observation study using wearable monitors by Jiaying Li, Xiaobing Wu, Xiaoyan Li, Miaozhen Deng, Xinyin Liang, Huiqun Wei

“…SpO2 at 3 min had the strongest correlation to patients’ diffusing capacity of the lungs for carbon monoxide (r=0.41, p<0.01). We found significant differences in 6MWD (F=2.44, p=0.033), SpO2 change (F=2.58, p=0.025), HR at 0 min (F=2.87, p=0.014), HR at end of 6 min (F=2.58, p=0.025) and HR zenith (F=2.64, p=0.022) between the subtypes of ILD.Conclusion This observation provided an important evidence regarding oxygen titration. …”
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Early weight gain after stopping smoking: a predictor of overall large weight gain? A single-site retrospective cohort study by Alexandra Pankova, Eva Kralikova, Kamila Zvolska, Lenka Stepankova, Milan Blaha, Petra Ovesna, Paul Aveyard

“…We examined whether early large postcessation weight gain predicts overall large weight gain.Design Retrospective cohort study.Setting Primary care setting—smoking cessation centre in Prague, Czech Republic.Participants Out of 3537 patients treated between 2005 and 2013, 1050 were continuous abstainers (verified by carbon monoxide measurement) at 1-year follow-up and formed the cohort of the current report. 48.7% were women (n=511) with the mean age of 46 (±14.4) years.Methods In this retrospective cohort study, all patients underwent usual tobacco dependence treatment using evidence-based methods. …”
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Non-communicable airway disease and air pollution in three African Countries: Benin, Cameroon and The Gambia by B. Awokola, H. Lawin, O. Johnson, A. Humphrey, D. Nzogo, L. Zubar, G. Okello, S. Semple, E. Awokola, G. Amusa, N. Mohammed, C. Jewell, A. Erhart, K. Mortimer, G. Devereux, B.H. Mbatchou-Ngahane

“…The median home particulate matter less than 2.5 μm in diameter (PM2.5) was respectively 13.0 μg/m3, 5.0 μg/m3 and 4.4 μg/m3. The median home carbon monoxide (CO) exposures were respectively 1.6 parts per million (ppm), 0.3 ppm and 0.4 ppm. …”
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Traffic-related air pollution (TRAP) exposure, lung function, airway inflammation and expiratory microbiota: A randomized crossover study by Rongrong Xu, Yanping Zhang, Tingting Wu, Hao Liu, Jianhao Peng, Zhanshan Wang, Te Ba, Baorong Zhang, Zhigang Li, Yongjie Wei

“…Particle matters (PMs), nitrogen dioxide (NO2), carbon monoxide (CO) and volatile organic compounds (VOCs), lung function, fractional exhaled nitric oxide (FeNO) and lung microbiota were measured. …”
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Air pollution exposures in early life and brain development in children (ABC): protocol for a pregnancy cohort study by John Kinuthia, R Scott McClelland, Barbra A Richardson, Elizabeth Maleche-Obimbo, Brent R Collett, Sarah Benki-Nugent, Faridah H Were, Anne M Riederer, Michael Gatari, CJ Karr, Edmund YW Seto, Beatrice C Mutai, Susan Wamithi, Priscilla Wanini Edemba, Timothy V Larson, Julian D Marshall

“…Additional exposure assessment in a subset of the cohort includes residential indoor and outdoor air monitoring for fine particulate matter (PM2.5), carbon monoxide (CO), ultrafine particles (UFP) and black carbon (BC).Ethics and dissemination This study was approved by the Kenyatta National Hospital - University of Nairobi Ethics and Research Committee, and the University of Washington Human Subjects Division. …”
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A Follow-Up Study of Lung Function and Chest Computed Tomography at 6 Months after Discharge in Patients with Coronavirus Disease 2019 by Qian Wu, Lingshan Zhong, Hongwei Li, Jing Guo, Yajie Li, Xinwei Hou, Fangfei Yang, Yi Xie, Li Li, Zhiheng Xing

“…Specifically, 7.5% presented with restrictive ventilatory dysfunction (forced vital capacity <80% of the predicted value), 18.9% presented with small airway dysfunction, and 32.1% presented with pulmonary diffusion impairment (diffusing capacity for carbon monoxide <80% of the predicted value). Of the 54 patients enrolled, six patients dropped out of the chest CT tests. …”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…After excluding variables with a Pearson correlation coefficient of <0.10 or P values of <.05, we included 3 Baidu index search term groups (disease name, symptoms, and treatment) and 6 environmental factors (maximum temperature, minimum temperature, sulfur dioxide, carbon monoxide, particulate matter with a diameter of 2.5 µm or less, and particulate matter with a diameter of 10 µm or less) for model development. …”
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Role of IPF genetic risk loci in post-COVID-19 lung abnormalities: a cohort study by James Johnston, Christopher Carlsten, Christopher J Ryerson, Alyson W Wong, Cameron J Hague, Julia Yang, Janice Leung, Daniel-Costin Marinescu, Aditi Shah, Darra Murphy

“…The MUC5B risk allele was associated with a significant decrease in ground glass (β=−0.8, 95% CI −1.5 to –0.1, p=0.02) at 3 months, and this finding was paralleled by a concurrent but non-significant trend towards increased diffusion capacity for carbon monoxide (DLCO) (β=8.8, 95% CI −1.2 to 18.8, p=0.08) compared with patients without this risk allele. …”
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Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana by Poonam Mangaraj, Yutaka Matsumi, Tomoki Nakayama, Akash Biswal, Kazuyo Yamaji, Hikaru Araki, Natsuko Yasutomi, Masayuki Takigawa, Prabir K. Patra, Sachiko Hayashida, Akanksha Sharma, A. P. Dimri, Surendra K. Dhaka, Manpreet S. Bhatti, Mizuo Kajino, Sahil Mor, Ravindra Khaiwal, Sanjeev Bhardwaj, Vimal J. Vazhathara, Ravi K. Kunchala, Tuhin K. Mandal, Prakhar Misra, Tanbir Singh, Kamal Vatta, Suman Mor

“…We measured PM2.5, carbon monoxide (CO) and related parameters over Delhi-NCR, Haryana and Punjab from a network of 30 low-cost sensors (CUPI-Gs) in a selected period (September–November) of 2022 and 2023. …”
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Assessment of Air Pollution and Lagged Meteorological Effects in an Urban Residential Area of Kenitra City, Morocco by Mustapha Zghaid, Abdelfettah Benchrif, Mounia Tahri, Amine Arfaoui, Malika Elouardi, Mohamed Derdaki, Ali Quyou, Moulay Laarbi Ouahidi

“…Complex mixtures of air pollutants, including ozone (O₃), carbon monoxide (CO), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), black carbon (BC), and fine particulate matter (PM_2.5), present significant health risks. …”
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Hubungan Derajat Merokok Berdasarkan Indeks Brinkman dengan Kadar Hemoglobin by Rizky Amelia, Ellyza Nasrul, Masrul Basyar

“…</p><p><strong>Kata kunci:</strong> derajat merokok, indeks Brinkman, kadar hemoglobin</p><p><strong><em> </em></strong></p><p><strong><em>Abstract</em></strong></p><p><em>One of the substances contained in cigarette smoke is carbon monoxide which is very easy to bind </em><em>on hemoglobin</em><em>, so the body </em><em>gets</em><em> hypoxia and strive to increase the levels hemoglobin. …”
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Association between exposure to ambient air pollutants and metabolic syndrome in the vicinity of the Taklamakan Desert by Zhe Wang, Weidong Ji, Yushan Wang, Lin Li, Kai Wang, Hongze Liu, Yining Yang, Yi Zhou

“…Spatio-temporal data from satellite observations were employed to estimate ambient pollution levels, encompassing particulate matter with diameters of up to 1.0 µm (PM1), 2.5 µm (PM2.5), and 10 µm (PM10), along with Ozone (O3) and Carbon monoxide (CO). To investigate the association between air pollutants and the prevalence of MetS and its components, Spatial Generalized Linear Mixed Models were applied, with adjustments made for relevant covariates. …”
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Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients by Julien Guiot, Monique Henket, Fanny Gester, Béatrice André, Benoit Ernst, Anne-Noelle Frix, Dirk Smeets, Simon Van Eyndhoven, Katerina Antoniou, Lennart Conemans, Janine Gote-Schniering, Hans Slabbynck, Michael Kreuter, Jacobo Sellares, Ioannis Tomos, Guang Yang, Clio Ribbens, Renaud Louis, Vincent Cottin, Sara Tomassetti, Vanessa Smith, Simon L. F. Walsh

“…Modifications of FVC and diffusing capacity of the lungs for carbon monoxide (DLCO) over time were correlated with longitudinal radiological ILD modifications (r=-0.40, p < 0.01; r=-0.40, p < 0.01 respectively). …”
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Pilot study of a comprehensive multidisciplinary inpatient-based approach to smoking cessation in patients with vascular disease by Tanner Kim, MD, Anand Brahmandam, MBBS, Dana Alameddine, MD, Rachel Forman, MD, Amin Hardik, MD, Lisa Fucito, PhD, Carlos Mena-Hurtado, MD, Raul Guzman, MD, Cassius Iyad Ochoa Chaar, MD, MS, MPH

“…At 1 year, the smoking cessation rate was 45% (n = 19/42) with 59% (n = 25/42) reduced smoking quantity. The carbon monoxide breath test was not conducted owing to the coronavirus disease 2019 pandemic. …”
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Short-Term Effect of Air Pollution on Daily Hospital Visits for Anxiety Disorders in Southern China with Low Pollution Concentrations by Xinyuan Zhong, Tingting Guo, Jianghui Zhang, Qiong Wang, Rong Yin, Kunpeng Wu, Qing Zou, Meng Zheng, Brian J. Hall, Andre M. N. Renzaho, Kangning Huang, Wen Chen

“…We evaluated the effects of short-term exposure to ambient air pollutants, including fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), nitrogen dioxide (NO₂), carbon monoxide (CO), sulfur dioxide (SO₂), and ozone (O₃), on daily hospital visits for ADs. …”
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Global decadal measurements of methanol, ethene, ethyne, and HCN from the Cross-track Infrared Sounder by K. C. Wells, D. B. Millet, J. F. Brewer, V. H. Payne, K. E. Cady-Pereira, R. Pernak, S. Kulawik, S. Kulawik, C. Vigouroux, N. Jones, E. Mahieu, M. Makarova, T. Nagahama, I. Ortega, M. Palm, K. Strong, M. Schneider, D. Smale, R. Sussmann, M. Zhou

“…<p>Volatile organic compounds (VOCs) play an important role in modulating the atmosphere's oxidizing capacity and affect tropospheric ozone, carbon monoxide, formaldehyde, and organic aerosol formation. …”
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Associations of meteorological factors and ambient air pollutants with mumps incidence in Ningxia Hui Autonomous Region: boosted regression tree model analysis by Xianglong LIU, Linlin CHEN, Jiayu YU, Rui GONG, Yaogeng CHEN, Yu ZHAO

“…MethodsData on the daily number of mumps cases in Ningxia Hui Autonomous Region from 2015 to 2019 were obtained from the Notifiable Infectious Disease Surveillance System of the region, and data on meteorological factors (daily mean temperature/relative humidity/atmospheric pressure/wind speed) and air pollutants (daily concentrations of ozone, [O3], sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and particulate matter with aerodynamic diameter < 2.5/10 mum [PM2.5/PM10]) for the same period were obtained from the National Meteorological Science Data Center. …”
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Association of ambient air pollutants with blood physiological and biochemical indicators and systemic immune inflammation index in people living around Beijing: an analysis of air... by Bingqian DU, Zhiqiang REN, Peian CHEN, Zhenjun LI

“…ResultsSpearman correlation analysis showed that the concentrations of particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5) and carbon monoxide (CO) were positively correlated with monocyte count (MO#), eosinophil count (EOS#), and red blood cell distribution width standard deviation (RDW-SD), and negatively correlated with mean corpuscular hemoglobin concentration (MCHC) and platelet crit (PCT) (all P < 0.05). …”
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Association between joint exposure to ambient air pollutants and carotid plaque: The mediating role of cardiometabolic risk factors by Yunfei Li, Ze Han, Xiaoyu Zhao, Yueruijing Liu, Zhiyuan Wu, Jinqi Wang, Xia Li, Xiuhua Guo, Lixin Tao

“…Each interquartile range (IQR) increase in air pollutants was associated with the following relative risk (RR) and 95 % confidence intervals (95 % CIs) for carotid plaque: 2.5-micrometer particulate matter (PM2.5), 1,04 (1.01, 1.07), 10-micrometer particulate matter (PM10), 1.10 (1.01, 1.20), sulfur dioxide (SO2), 1.28 (1.15, 1.42), ozone (O3), 1.18 (1.01, 1.37), and carbon monoxide (CO), 1.32 (1.15, 1.50). Joint exposure to air pollution was positively and linearly associated with the occurrence of carotid plaque, with low-density cholesterol (LDL-C) and mean arterial pressure (MAP) mediating 2.24 % and 4.28 % of the association, respectively. …”
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