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      Preterm birth and asthma and COPD in adulthood: a nationwide register study from two Nordic countries

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          Abstract

          Background

          Preterm birth affects lungs in several ways but few studies have follow-up until adulthood. We investigated the association of the entire spectrum of gestational ages with specialist care episodes for obstructive airway disease (asthma and chronic obstructive pulmonary disease (COPD)) at age 18–50 years.

          Methods

          We used nationwide registry data on 706 717 people born 1987–1998 in Finland (4.8% preterm) and 1 669 528 born 1967–1999 in Norway (5.0% preterm). Care episodes of asthma and COPD were obtained from specialised healthcare registers, available in Finland for 2005–2016 and in Norway for 2008–2017. We used logistic regression to estimate odds ratios (ORs) for having a care episode with either disease outcome.

          Results

          Odds of any obstructive airway disease in adulthood for those born at <28 or 28–31 completed weeks were 2–3-fold of those born full term (39–41 completed weeks), persisting after adjustments. For individuals born at 32–33, 34–36 or 37–38 weeks, the odds were 1.1- to 1.5-fold. Associations were similar in the Finnish and the Norwegian data and among people aged 18–29 and 30–50 years. For COPD at age 30–50 years, the OR was 7.44 (95% CI 3.49–15.85) for those born at <28 weeks, 3.18 (95% CI 2.23–4.54) for those born at 28–31 weeks and 2.32 (95% CI 1.72–3.12) for those born at 32–33 weeks. Bronchopulmonary dysplasia in infancy increased the odds further for those born at <28 and 28–31 weeks.

          Conclusion

          Preterm birth is a risk factor for asthma and COPD in adulthood. The high odds of COPD call for diagnostic vigilance when adults born very preterm present with respiratory symptoms.

          Abstract

          In this population-based study of 2.4 million people from Finland and Norway, adults born preterm were at higher risk for asthma and COPD at ages 18–50 years. The risks were observed across all gestational ages before full term in a dose-response manner. https://bit.ly/3YqnUGe

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          Most cited references41

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          Epidemiology and causes of preterm birth

          Summary This paper is the first in a three-part series on preterm birth, which is the leading cause of perinatal morbidity and mortality in developed countries. Infants are born preterm at less than 37 weeks' gestational age after: (1) spontaneous labour with intact membranes, (2) preterm premature rupture of the membranes (PPROM), and (3) labour induction or caesarean delivery for maternal or fetal indications. The frequency of preterm births is about 12–13% in the USA and 5–9% in many other developed countries; however, the rate of preterm birth has increased in many locations, predominantly because of increasing indicated preterm births and preterm delivery of artificially conceived multiple pregnancies. Common reasons for indicated preterm births include pre-eclampsia or eclampsia, and intrauterine growth restriction. Births that follow spontaneous preterm labour and PPROM—together called spontaneous preterm births—are regarded as a syndrome resulting from multiple causes, including infection or inflammation, vascular disease, and uterine overdistension. Risk factors for spontaneous preterm births include a previous preterm birth, black race, periodontal disease, and low maternal body-mass index. A short cervical length and a raised cervical-vaginal fetal fibronectin concentration are the strongest predictors of spontaneous preterm birth.
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            Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis

            Summary Background Preterm birth is the leading cause of death in children younger than 5 years worldwide. Although preterm survival rates have increased in high-income countries, preterm newborns still die because of a lack of adequate newborn care in many low-income and middle-income countries. We estimated global, regional, and national rates of preterm birth in 2014, with trends over time for some selected countries. Methods We systematically searched for data on preterm birth for 194 WHO Member States from 1990 to 2014 in databases of national civil registration and vital statistics (CRVS). We also searched for population-representative surveys and research studies for countries with no or limited CRVS data. For 38 countries with high-quality data for preterm births in 2014, data are reported directly. For countries with at least three data points between 1990 and 2014, we used a linear mixed regression model to estimate preterm birth rates. We also calculated regional and global estimates of preterm birth for 2014. Findings We identified 1241 data points across 107 countries. The estimated global preterm birth rate for 2014 was 10·6% (uncertainty interval 9·0–12·0), equating to an estimated 14·84 million (12·65 million–16·73 million) live preterm births in 2014. 12· 0 million (81·1%) of these preterm births occurred in Asia and sub-Saharan Africa. Regional preterm birth rates for 2014 ranged from 13·4% (6·3–30·9) in North Africa to 8·7% (6·3–13·3) in Europe. India, China, Nigeria, Bangladesh, and Indonesia accounted for 57·9 million (41×4%) of 139·9 million livebirths and 6·6 million (44×6%) of preterm births globally in 2014. Of the 38 countries with high-quality data, preterm birth rates have increased since 2000 in 26 countries and decreased in 12 countries. Globally, we estimated that the preterm birth rate was 9×8% (8×3–10×9) in 2000, and 10×6% (9×0–12×0) in 2014. Interpretation Preterm birth remains a crucial issue in child mortality and improving quality of maternal and newborn care. To better understand the epidemiology of preterm birth, the quality and volume of data needs to be improved, including standardisation of definitions, measurement, and reporting. Funding WHO and the March of Dimes.
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              Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

              Summary Background Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. Methods Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. Findings In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–4 044 819) in 2017, an increase of 18·0% since 1990, while total DALYs increased by 13·3%. However, when accounting for ageing and population growth, declines were observed in age-standardised prevalence (14·3% decrease), age-standardised death rates (42·6%), and age-standardised DALY rates (38·2%). In males and females, most chronic respiratory disease-attributable deaths and DALYs were due to COPD. In regional analyses, mortality rates from chronic respiratory diseases were greatest in south Asia and lowest in sub-Saharan Africa, also across both sexes. Notably, although absolute prevalence was lower in south Asia than in most other super-regions, YLLs due to chronic respiratory diseases across the subcontinent were the highest in the world. Death rates due to interstitial lung disease and pulmonary sarcoidosis were greater than those due to pneumoconiosis in all super-regions. Smoking was the leading risk factor for chronic respiratory disease-related disability across all regions for men. Among women, household air pollution from solid fuels was the predominant risk factor for chronic respiratory diseases in south Asia and sub-Saharan Africa, while ambient particulate matter represented the leading risk factor in southeast Asia, east Asia, and Oceania, and in the Middle East and north Africa super-region. Interpretation Our study shows that chronic respiratory diseases remain a leading cause of death and disability worldwide, with growth in absolute numbers but sharp declines in several age-standardised estimators since 1990. Premature mortality from chronic respiratory diseases seems to be highest in regions with less-resourced health systems on a per-capita basis. Funding Bill & Melinda Gates Foundation.
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                Author and article information

                Journal
                Eur Respir J
                Eur Respir J
                ERJ
                erj
                The European Respiratory Journal
                European Respiratory Society
                0903-1936
                1399-3003
                June 2023
                22 June 2023
                : 61
                : 6
                : 2201763
                Affiliations
                [1 ]Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
                [2 ]Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
                [3 ]Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
                [4 ]Children's Clinic, St. Olavs University Hospital, Trondheim, Norway
                [5 ]Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
                [6 ]Center for Health Care Improvement, St. Olavs University Hospital, Trondheim, Norway
                [7 ]Faculty of Medicine, and Health Technology, Tampere Center for Child, Adolescent, and Maternal Health Research: Global Health Group, Tampere University, Tampere, Finland
                [8 ]PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
                [9 ]Finnish Social and Health Data Permit Authority Findata, Helsinki, Finland
                [10 ]Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
                [11 ]Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
                [12 ]Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
                [13 ]Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
                Author notes
                Corresponding author: Anna Pulakka ( anna.pulakka@ 123456thl.fi )
                Author information
                https://orcid.org/0000-0002-0602-8632
                https://orcid.org/0000-0001-6599-0146
                https://orcid.org/0000-0003-3806-1020
                https://orcid.org/0000-0003-4010-5299
                https://orcid.org/0000-0001-6269-6881
                https://orcid.org/0000-0001-6762-9645
                https://orcid.org/0000-0002-6886-4126
                https://orcid.org/0000-0001-8254-7525
                https://orcid.org/0000-0002-6593-8433
                https://orcid.org/0000-0001-7081-8391
                Article
                ERJ-01763-2022
                10.1183/13993003.01763-2022
                10285109
                36990472
                65c08d0e-5242-4c8c-b8e3-51c4425584a5
                Copyright ©The authors 2023.

                This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org

                History
                : 14 September 2022
                : 28 February 2023
                Funding
                Funded by: European Commission, doi 10.13039/501100000780;
                Award ID: 724363
                Award ID: Horizon 2020 RECAP 733280
                Award ID: Horizon 2020, LongITools 874739
                Award ID: Horizon Europe, TRIGGER, 101057739
                Award ID: NORFACE Joint Research Programme on Dynamics of In
                Funded by: Sydäntutkimussäätiö, doi 10.13039/501100005633;
                Funded by: Diabetestutkimussäätiö, doi 10.13039/501100013500;
                Funded by: Biotieteiden ja Ympäristön Tutkimuksen Toimikunta, doi 10.13039/501100005876;
                Award ID: 315690
                Funded by: The joint research committee (FFU) between St. Olavs hospital HF and the Faculty of Medicine, NTNU
                Funded by: Novo Nordisk Fonden, doi 10.13039/501100009708;
                Funded by: Finska Läkaresällskapet, doi 10.13039/100010135;
                Funded by: Norges Forskningsråd, doi 10.13039/501100005416;
                Funded by: Sigrid Juselius Foundation
                Funded by: Yrjö Jahnssonin Säätiö, doi 10.13039/100010114;
                Funded by: Lastentautien Tutkimussäätiö, doi 10.13039/501100005744;
                Categories
                Original Research Articles
                Epidemiology
                11

                Respiratory medicine
                Respiratory medicine

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