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Moberg ME, Hamilton EB, Zeng SM, Bryazka D, Zhao JT, Feldman R, Abate YH, Abbasi-Kangevari M, Abdurehman AM, Abedi A, Abu-Gharbieh E, Addo IY, Adepoju AV, Adnani QES, Afzal S, Ahinkorah BO, Ahmad S, Ahmed D, Ahmed H, Alem DT, Al-Gheethi AAS, Alimohamadi Y, Ameyaw EK, Amrollahi-Sharifabadi M, Anagaw TF, Anyasodor AE, Arabloo J, Aravkin AY, Athari SS, Atreya A, Azari Jafari A, Badiye AD, Baghcheghi N, Bagherieh S, Bansal H, Barrow A, Bashiri A, Bayileyegn NS, Berhie AY, Bhagavathula AS, Bhardwaj P, Boloor A, Cámera LA, Carvalho F, Carvalho M, Chandrasekar EK, Chang JC, Chattu VK, Chu DT, Coberly K, Cruz-Martins N, Dadras O, Dai X, Darvishi Cheshmeh Soltani R, Das S, Das S, Debela SA, Demessa BH, Deng X, Desta AA, Desye B, Dhimal M, Dibas M, Dsouza HL, Ekholuenetale M, El Sayed I, El-Huneidi W, Enyew DB, Fagbamigbe AF, Fatehizadeh A, Fatima SAF, Fischer F, Franklin RC, Garg T, Gebi TG, Gerema U, Getachew M, Getachew ME, Ghamari F, Golechha M, Goleij P, Gupta S, Gupta VB, Gupta VK, Harorani M, Hasani H, Hassan AM, Hassanian-Moghaddam H, Hassen MB, Hay SI, Hayat K, Heidari M, Heidari-Foroozan M, Heyi DZ, Holla R, Hoogar P, Hossain MS, Hosseini MS, Hostiuc S, Hoveidamanesh S, Ilesanmi OS, Ilic IM, Immurana M, Iwu CCD, Jayarajah U, Joseph N, Joshua CE, Kadashetti V, Kanchan T, Kandel H, Kantar RS, Kapoor N, Karaye IM, Katoto PDMC, Khajuria H, Khan EA, Khateri S, Khodamoradi F, Khormali M, Khubchandani J, Kim G, Kisa A, Koohestani HR, Krishan K, Kumar N, Laflamme L, Landires I, Larijani B, Lauriola P, Le TTT, Ledda C, Lee SW, Lim SS, Lobo SW, Lunevicius R, Maharaj SB, Menezes RG, Mentis AFA, Mestrovic T, Miller TR, Mirmoeeni S, Misganaw A, Mishra M, Misra S, Mittal C, Mohammadi E, Mokdad AH, Moni MA, Mostafavi E, Mubarik S, Mulita F, Mulualem JA, Mulugeta T, Murray CJL, Myers I, Nayak BP, Nayak VC, Nejadghaderi SA, Nguyen HLT, Nguyen VT, Nouraei H, Nzoputam OJ, Okati-Aliabad H, Olufadewa II, Ordak M, Padron-Monedero A, Padubidri JR, Pandey A, Pant S, Parekh U, Pawar S, Peden AE, Petcu IR, Piel FB, Piracha ZZ, Pourali G, Qattea I, Qureshi MF, Raghav PR, Rahman M, Rahmani S, Ramasubramani P, Ramazanu S, Rawaf S, Rezaei N, Rezaei N, Rezaeian M, Saddik B, Sadeghi M, Sadeghian F, Saeed U, Sahebkar A, Saif Z, Sakshaug JW, Salahi S, Salamati P, Samy AM, Sarmiento-Suárez R, Schwebel DC, Senthilkumaran S, Seylani A, Shaikh MA, Sham S, Shashamo BB, Sheikhi RA, Shetty BSK, Shetty PH, Sibhat MM, Singh H, Singh P, Sisay EA, Solomon Y, Taheri M, Ullah I, Ullah S, Violante FS, Vu LG, Wickramasinghe ND, Yigit A, Yonemoto N, Yousefi Z, Zaman M, Zastrozhin MS, Zhang ZJ, Zheng P, Zoladl M, Steinmetz JD, Vos T, Naghavi M, Ong KL. Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000-2021: results from the Global Burden of Disease Study 2021. Lancet Public Health 2023; 8:e839-e849. [PMID: 37813118 PMCID: PMC10602911 DOI: 10.1016/s2468-2667(23)00185-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND Unintentional carbon monoxide poisoning is a largely preventable cause of death that has received insufficient attention. We aimed to conduct a comprehensive global analysis of the demographic, temporal, and geographical patterns of fatal unintentional carbon monoxide poisoning from 2000 to 2021. METHODS As part of the latest Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), unintentional carbon monoxide poisoning mortality was quantified using the GBD cause of death ensemble modelling strategy. Vital registration data and covariates with an epidemiological link to unintentional carbon monoxide poisoning informed the estimates of death counts and mortality rates for all locations, sexes, ages, and years included in the GBD. Years of life lost (YLLs) were estimated by multiplying deaths by remaining standard life expectancy at age of death. Population attributable fractions (PAFs) for unintentional carbon monoxide poisoning deaths due to occupational injuries and high alcohol use were estimated. FINDINGS In 2021, the global mortality rate due to unintentional carbon monoxide poisoning was 0·366 per 100 000 (95% uncertainty interval 0·276-0·415), with 28 900 deaths (21 700-32 800) and 1·18 million YLLs (0·886-1·35) across all ages. Nearly 70% of deaths occurred in males (20 100 [15 800-24 000]), and the 50-54-year age group had the largest number of deaths (2210 [1660-2590]). The highest mortality rate was in those aged 85 years or older with 1·96 deaths (1·38-2·32) per 100 000. Eastern Europe had the highest age-standardised mortality rate at 2·12 deaths (1·98-2·30) per 100 000. Globally, there was a 53·5% (46·2-63·7) decrease in the age-standardised mortality rate from 2000 to 2021, although this decline was not uniform across regions. The overall PAFs for occupational injuries and high alcohol use were 13·6% (11·9-16·0) and 3·5% (1·4-6·2), respectively. INTERPRETATION Improvements in unintentional carbon monoxide poisoning mortality rates have been inconsistent across regions and over time since 2000. Given that unintentional carbon monoxide poisoning is almost entirely preventable, policy-level interventions that lower the risk of carbon monoxide poisoning events should be prioritised, such as those that increase access to improved heating and cooking devices, reduce carbon monoxide emissions from generators, and mandate use of carbon monoxide alarms. FUNDING Bill & Melinda Gates Foundation.
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Gentile D, Adams R, Klatka M, Bradberry S, Gray L, Thanacoody R, Jackson G, Sandilands EA. Carbon monoxide exposures reported to the UK National Poisons Information Service: a 4-year study. J Public Health (Oxf) 2021; 44:565-574. [PMID: 33993287 DOI: 10.1093/pubmed/fdab132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 03/23/2021] [Accepted: 04/10/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Unintentional carbon monoxide (CO) poisoning poses a public health challenge. The UK National Poisons Information Service (NPIS) provides advice to healthcare professionals via the online database, TOXBASE®, and a 24-hour telephone line. Our aim was to analyse all CO-related enquiries to the NPIS. METHODS We analysed enquiries regarding unintentional CO exposure (1st July 2015-30th June 2019). Information on patient demographics, CO source and location, clinical features and poisoning severity was collected from telephone enquiries and TOXBASE accesses. RESULTS 2970 unintentional non-fire-related CO exposures were reported. Exposures occurred commonly in the home (60%) with faulty boilers frequently implicated (27.4%). Although five fatalities were reported, 68.7% of patients experienced no or minor symptoms only (headache most frequently reported). Despite being the gold standard measurement, blood carboxyhaemoglobin concentration was only recorded in 25.6% patients, with no statistically significant correlation with severity. CONCLUSIONS Unintentional CO exposures in the UK commonly occur in domestic settings and although are generally of low severity, fatalities continue to occur. Carboxyhaemoglobin measurement is important to confirm exposure but further work is required to assess its validity as a prognostic indicator in CO exposure. Public health policy should continue to focus on raising awareness of the dangers of CO.
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Affiliation(s)
- Daniela Gentile
- National Poisons Information Service (Edinburgh Unit), Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
| | - Richard Adams
- National Poisons Information Service (Edinburgh Unit), Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
| | - Michal Klatka
- National Poisons Information Service (Edinburgh Unit), Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
| | - Sally Bradberry
- National Poisons Information Service (Birmingham Unit), City Hospital, Birmingham B18 7QH, UK
| | - Laurence Gray
- National Poisons Information Service (Cardiff Unit), University Hospital Llandough, Penarth CF64 2XX, UK
| | - Ruben Thanacoody
- National Poisons Information Service (Newcastle Unit), Regional Drug and Therapeutics Centre, Newcastle upon Tyne NE2 4AB, UK
| | - Gillian Jackson
- National Poisons Information Service (Edinburgh Unit), Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
| | - Euan A Sandilands
- National Poisons Information Service (Edinburgh Unit), Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
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Roca-Barceló A, Crabbe H, Ghosh R, Freni-Sterrantino A, Fletcher T, Leonardi G, Hoge C, Hansell AL, Piel FB. Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England. Prev Med 2020; 136:106104. [PMID: 32353574 DOI: 10.1016/j.ypmed.2020106104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 03/06/2020] [Accepted: 04/22/2020] [Indexed: 05/22/2023]
Abstract
Unintentional non-fire related (UNFR) carbon monoxide (CO) poisoning is a preventable cause of morbidity and mortality. Epidemiological data on UNFR CO poisoning can help monitor changes in the magnitude of this burden, particularly through comparisons of multiple countries, and to identify vulnerable sub-groups of the population which may be more at risk. Here, we collected data on age- and sex- specific number of hospital admissions with a primary diagnosis of UNFR CO poisoning in England (2002-2016), aggregated to small areas, alongside area-level characteristics (i.e. deprivation, rurality and ethnicity). We analysed temporal trends using piecewise log-linear models and compared them to analogous data obtained for Canada, France, Spain and the US. We estimated age-standardized rates per 100,000 inhabitants by area-level characteristics using the WHO standard population (2000-2025). We then fitted the Besag York Mollie (BYM) model, a Bayesian hierarchical spatial model, to assess the independent effect of each area-level characteristic on the standardized risk of hospitalization. Temporal trends showed significant decreases after 2010. Decreasing trends were also observed across all countries studied, yet France had a 5-fold higher risk. Based on 3399 UNFR CO poisoning hospitalizations, we found an increased risk in areas classified as rural (0.69, 95% CrI: 0.67; 0.80), highly deprived (1.77, 95% CrI: 1.66; 2.10) or with the largest proportion of Asian (1.15, 95% CrI: 1.03; 1.49) or Black population (1.35, 95% CrI: 1.20; 1.80). Our multivariate approach provides strong evidence for the identification of vulnerable populations which can inform prevention policies and targeted interventions.
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Affiliation(s)
- Aina Roca-Barceló
- UK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Helen Crabbe
- Environmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK
| | - Rebecca Ghosh
- Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Anna Freni-Sterrantino
- UK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Tony Fletcher
- Environmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK; London School of Tropical Medicine & Hygiene, London, UK
| | - Giovanni Leonardi
- Environmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK
| | - Courtney Hoge
- Asthma and Community Health Branch, National Center for Environmental Health, Centers for Disease Control and Prevention (CDC), USA; Oak Ridge Institute for Science and Education, USA
| | - Anna L Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Frédéric B Piel
- UK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK.
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Roca-Barceló A, Crabbe H, Ghosh R, Freni-Sterrantino A, Fletcher T, Leonardi G, Hoge C, Hansell AL, Piel FB. Temporal trends and demographic risk factors for hospital admissions due to carbon monoxide poisoning in England. Prev Med 2020; 136:106104. [PMID: 32353574 PMCID: PMC7262581 DOI: 10.1016/j.ypmed.2020.106104] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 03/06/2020] [Accepted: 04/22/2020] [Indexed: 12/12/2022]
Abstract
Unintentional non-fire related (UNFR) carbon monoxide (CO) poisoning is a preventable cause of morbidity and mortality. Epidemiological data on UNFR CO poisoning can help monitor changes in the magnitude of this burden, particularly through comparisons of multiple countries, and to identify vulnerable sub-groups of the population which may be more at risk. Here, we collected data on age- and sex- specific number of hospital admissions with a primary diagnosis of UNFR CO poisoning in England (2002-2016), aggregated to small areas, alongside area-level characteristics (i.e. deprivation, rurality and ethnicity). We analysed temporal trends using piecewise log-linear models and compared them to analogous data obtained for Canada, France, Spain and the US. We estimated age-standardized rates per 100,000 inhabitants by area-level characteristics using the WHO standard population (2000-2025). We then fitted the Besag York Mollie (BYM) model, a Bayesian hierarchical spatial model, to assess the independent effect of each area-level characteristic on the standardized risk of hospitalization. Temporal trends showed significant decreases after 2010. Decreasing trends were also observed across all countries studied, yet France had a 5-fold higher risk. Based on 3399 UNFR CO poisoning hospitalizations, we found an increased risk in areas classified as rural (0.69, 95% CrI: 0.67; 0.80), highly deprived (1.77, 95% CrI: 1.66; 2.10) or with the largest proportion of Asian (1.15, 95% CrI: 1.03; 1.49) or Black population (1.35, 95% CrI: 1.20; 1.80). Our multivariate approach provides strong evidence for the identification of vulnerable populations which can inform prevention policies and targeted interventions.
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Affiliation(s)
- Aina Roca-Barceló
- UK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Helen Crabbe
- Environmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK
| | - Rebecca Ghosh
- Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Anna Freni-Sterrantino
- UK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Tony Fletcher
- Environmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK; London School of Tropical Medicine & Hygiene, London, UK
| | - Giovanni Leonardi
- Environmental Epidemiology Group, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK
| | - Courtney Hoge
- Asthma and Community Health Branch, National Center for Environmental Health, Centers for Disease Control and Prevention (CDC), USA; Oak Ridge Institute for Science and Education, USA
| | - Anna L Hansell
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - Frédéric B Piel
- UK Small Area Health Statistics Unit (SAHSU), Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK; National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Health Impact of Environmental Hazards, UK.
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Oda G, Ryono R, Lucero-Obusan C, Schirmer P, Holodniy M. Carbon monoxide poisoning surveillance in the Veterans Health Administration, 2010-2017. BMC Public Health 2019; 19:190. [PMID: 30764795 PMCID: PMC6376743 DOI: 10.1186/s12889-019-6505-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 02/01/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Exposure to carbon monoxide (CO), the odorless, colorless gas resulting from incomplete combustion of hydrocarbons, is preventable. Despite the significant risk of morbidity and mortality associated with CO poisoning, there currently exists no active national CO surveillance system in the United States (U.S.). Our study aims to use electronic health record data to describe the epidemiology of CO poisoning in the Veterans Health Administration healthcare population. METHODS We identified unique inpatient and outpatient encounters coded with International Classification of Diseases (ICD) codes for CO poisoning and analyzed relevant demographic, laboratory, treatment, and death data from January 2010 through December 2017 for Veterans across all 50 U.S. states and Puerto Rico. Statistical methods used were 95% CI calculations and the two-tailed z test for proportions. RESULTS We identified 5491 unique patients with CO poisoning, of which 1755 (32%) were confirmed/probable and 3736 (68%) were suspected. Unintentional poisoning was most common (72.9%) overall. Age less than 65 years, residence in Midwest U.S. Census region versus South or West, and winter seasonal trend were characteristics associated with confirmed/probable CO poisoning. Twenty-six deaths (1.5%) occurred within 30 days of confirmed/probable CO poisoning and were primarily caused by cardiovascular events (42%) or anoxic encephalopathy (15%). CONCLUSIONS Our findings support the use of ICD-coded data for targeted CO poisoning surveillance, however, improvements are needed in ICD coding to reduce the percentage of cases coded with unknown injury intent and/or CO poisoning source. Prevalence of CO poisoning among Veterans is consistent with other U.S. estimates. Since most cases are unintentional, opportunities exist for provider and patient education to reduce risk.
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Affiliation(s)
- Gina Oda
- Public Health Surveillance and Research, Department of Veterans Affairs, 3801 Miranda Avenue (132), Palo Alto, CA, 94304, USA.
| | - Russell Ryono
- Public Health Surveillance and Research, Department of Veterans Affairs, 3801 Miranda Avenue (132), Palo Alto, CA, 94304, USA
| | - Cynthia Lucero-Obusan
- Public Health Surveillance and Research, Department of Veterans Affairs, 3801 Miranda Avenue (132), Palo Alto, CA, 94304, USA
| | - Patricia Schirmer
- Public Health Surveillance and Research, Department of Veterans Affairs, 3801 Miranda Avenue (132), Palo Alto, CA, 94304, USA
| | - Mark Holodniy
- Public Health Surveillance and Research, Department of Veterans Affairs, 3801 Miranda Avenue (132), Palo Alto, CA, 94304, USA.,Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA
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Barn P, Giles L, Héroux ME, Kosatsky T. A review of the experimental evidence on the toxicokinetics of carbon monoxide: the potential role of pathophysiology among susceptible groups. Environ Health 2018; 17:13. [PMID: 29402286 PMCID: PMC5800074 DOI: 10.1186/s12940-018-0357-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 01/26/2018] [Indexed: 06/07/2023]
Abstract
BACKGROUND Acute high level carbon monoxide (CO) exposure can cause immediate cardio-respiratory arrest in anyone, but the effects of lower level exposures in susceptible persons are less well known. The percentage of CO-bound hemoglobin in blood (carboxyhemoglobin; COHb) is a marker of exposure and potential health outcomes. Indoor air quality guidelines developed by the World Health Organization and Health Canada, among others, are set so that CO exposure does not lead to COHb levels above 2.0%, a target based on experimental evidence on toxicodynamic relationships between COHb and cardiac performance among persons with cardiovascular disease (CVD). The guidelines do not consider the role of pathophysiological influences on toxicokinetic relationships. Physiological deficits that contribute to increased CO uptake, decreased CO elimination, and increased COHb formation can alter relationships between CO exposures and resulting COHb levels, and consequently, the severity of outcomes. Following three fatalities attributed to CO in a long-term care facility (LTCF), we queried whether pathologies other than CVD could alter CO-COHb relationships. Our primary objective was to inform susceptibility-specific modeling that accounts for physiological deficits that may alter CO-COHb relationships, ultimately to better inform CO management in LTCFs. METHODS We reviewed experimental studies investigating relationships between CO, COHb, and outcomes related to health or physiological outcomes among healthy persons, persons with CVD, and six additional physiologically susceptible groups considered relevant to LTCF residents: persons with chronic obstructive pulmonary disease (COPD), anemia, cerebrovascular disease (CBD), heart failure, multiple co-morbidities, and persons of older age (≥ 60 years). RESULTS We identified 54 studies published since 1946. Six studies investigated toxicokinetics among healthy persons, and the remaining investigated toxicodynamics, mainly among healthy persons and persons with CVD. We identified one study each of CO dynamics in persons with COPD, anemia and persons of older age, and no studies of persons with CBD, heart failure, or multiple co-morbidities. Considerable heterogeneity existed for exposure scenarios and outcomes investigated. CONCLUSIONS Limited experimental human evidence on the effects of physiological deficits relevant to CO kinetics exists to support indoor air CO guidelines. Both experimentation and modeling are needed to assess how physiological deficits influence the CO-COHb relationship, particularly at sub-acute exposures relevant to indoor environments. Such evidence would better inform indoor air quality guidelines and CO management in indoor settings where susceptible groups are housed.
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Affiliation(s)
- Prabjit Barn
- National Collaborating Centre for Environmental Health, 200 - 601 West Broadway, Vancouver, BC V5Z 4C2 Canada
- Environmental Health Services, British Columbia Centre for Disease Control, 655 West 12th Avenue, Vancouver, BC V5Z 4R4 Canada
| | - Luisa Giles
- National Collaborating Centre for Environmental Health, 200 - 601 West Broadway, Vancouver, BC V5Z 4C2 Canada
- Currently at: Department of Sport Science, Douglas College, P.O. Box 2503, 700 Royal Avenue, New Westminster, BC V3L 5B2 Canada
| | - Marie-Eve Héroux
- Water and Air Quality Bureau, Health Canada, 269 Laurier Ave West, Ottawa, K1A 0K9 Canada
| | - Tom Kosatsky
- National Collaborating Centre for Environmental Health, 200 - 601 West Broadway, Vancouver, BC V5Z 4C2 Canada
- Environmental Health Services, British Columbia Centre for Disease Control, 655 West 12th Avenue, Vancouver, BC V5Z 4R4 Canada
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