| Literature DB >> 35923430 |
Cassidy Du Berry1,2,3, Christopher Nesci3, Jeanie L Y Cheong4,5,6, Tara FitzGerald7,5, Rheanna Mainzer1,2,8, Sarath Ranganathan1,2,3, Lex W Doyle1,4,5,6, Elianne J L E Vrijlandt9,10, Liam Welsh1,2,3.
Abstract
Background: Moderate-late preterm (MLP; 32 to <37 weeks' gestation) birth is associated with reduced expiratory airflow during child, adolescent and adult years. However, some studies have reported only minimal airflow limitation and hence it is unclear if clinical assessment in later life is warranted. Our aim was to compare maximal expiratory airflow in children and adults born MLP with term-born controls, and with expected norms.Entities:
Keywords: Expiratory airflow; Moderate-late preterm; Preterm; Pulmonary function; Spirometry
Year: 2022 PMID: 35923430 PMCID: PMC9340512 DOI: 10.1016/j.eclinm.2022.101597
Source DB: PubMed Journal: EClinicalMedicine ISSN: 2589-5370
Characteristics of included studies, listed alphabetically by first author.14, 15, 16,28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42
| Study | Region | MLP Birth Characteristics | Sex (% Male) | Assessment | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gestational Age (wk) | Birthweight (g) | MLP | Term | MLP Age (years) | No. of Participants | Pulmonary Function Tests Conducted | Spirometry Reference Values | ||||||||
| Mean | SD | Range | Mean | SD | Mean | SD | Range | MLP | Term | ||||||
| Aoyama et al, 2021 | USA | 33.9 | 1.3 | 2189 | 592 | 72 | NA | 7.3 | 1.8 | 7 | NA | Spirometry | GLI 2012 | ||
| Arroyas et al, 2020 | Spain | 34.2 | 1.2 | 2014 | 526 | 51.4 | NA | 14.1 | 74 | NA | Spirometry | GLI 2012 | |||
| Carbonell-Estrany et al, 2015 | Spain | 33.6 | 0.8 | 2022 | 362 | 56.5 | NA | 6-7 | 236 | NA | Spirometry | GLI 2012 | |||
| Dantas et al, 2021 | Brazil | 34 | 1.7 | NR | NR | 23.1 | 40.8 | 7.9 | 1.4 | 52 | 71 | IOS | NA | ||
| Gonçalves | Brazil | 34 | 1.4 | 1635 | 248 | 41 | NA | 10.1 | 2.1 | 46 | NA | Spirometry | GLI 2012 | ||
| Kaczmarczyk et al, 2017 | Poland | 34.5 | 1.9 | NR | NR | 0 | 0 | 28.1 | 2.4 | 12 | 27 | Spirometry | GLI 2012 | ||
| Kotecha et al, 2012 | UK | 35.2 | 1 | 2588 | 427 | 55 | 49 | 8.7 | 0.3 | 317 | 6144 | Spirometry | Chinn et al, 1992 | ||
| Landry et al, 2016 | Canada | 32-36 | NR | NR | 42 | 25 | 21.4 | 1.8 | 12 | 8 | Spirometry | GLI 2012 | |||
| Morta-Alba et al, 2019 | Spain | 32-35 | 1942 | 384 | NR | NA | 6-8 | 116 | 116 | Spirometry | Not specified | ||||
| Narayan et al, 2013 | UK | 35.2 | 1.2 | NR | NR | NR | NR | 12 | 1.1 | 21 | 61 | Spirometry | GLI 2012 | ||
| Näsänen- Gilmore | Finland | 35.1 | 1.4 | 2494 | 497 | 49 | 48.1 | 23.2 | 1.2 | 321 | 341 | Spirometry | GLI 2012 | ||
| Pérez-Tarazona et al, 2021 | Spain | 34 | 1.1 | 1983 | 526 | 55 | NA | 14.5 | 0.7 | 102 | NA | Spirometry | GLI 2012 | ||
| Scheltema et al, 2018 | NLD | 32-35 | 2292 | NR | 54 | NA | 5.9 | 0.4 | 335 | NA | Spirometry | GLI 2012 | |||
| Thunqvist et al, 2016 | Sweden | 35 | 32-36 | 2603 | 495 | 44 | 51 | 16.4 | 0.4 | 99 | 1564 | Spirometry | GLI 2012 | ||
| Todisco et al, 1993 | Italy | 34.9 | 1.1 | 1980 | 450 | 62 | 55 | 11.6 | 2.5 | 34 | 34 | Spirometry | NA | ||
| Vrijlandt et al, 2018 | NLD | 34 | 1 | 2442 | 539 | 57 | 53 | 13.6 | 0.6 | 37 | 34 | Spirometry | GLI 2012 | ||
| Yaacoby-Bianu et al, 2019 | Israel | 35 | 0.9 | 2336 | 400 | 59 | 50 | 8.2 | 1.7 | 29 | 30 | Spirometry | GLI 2012 | ||
| Yammine et al, 2016 | CHE | 33.4 | 0.78 | 1969 | 579 | 58 | 47 | 9.3 | 1.3 | 12 | 46 | Spirometry | GLI 2012 | ||
Abbreviations: BD, Bronchodilator; CHE, Switzerland; CPET, cardiopulmonary exercise test; DLCO, diffusing capacity in 1 second for carbon monoxide; FeNO, fraction of exhaled nitric oxide; GLI, global lung initiative; IOS, impulse oscillometry; MBW, multiple breath washout; MLP, moderate-late preterm; NA, not applicable; NLD, The Netherlands; NR, not reported; PFT, pulmonary function test; SBW, single breath washout; SD, standard deviation; USA, United States of America; UK, United Kingdom.
Data obtained from authors.
Characteristics of cohort at birth (prior to participant loss to follow up assessment).
Figure 1PRISMA 2020 flow chart of the searched, identified and included studies. Abbreviations: MLP = moderate-late preterm; VP = very preterm; EP = extremely preterm;
*Some studies satisfied more than 1 exclusion criterion.
Figure 2Forced expiratory volume in 1 second z-score (zFEV1) of the moderate-late preterm (MLP) group compared with the term group. A mean zFEV1 less than 0 indicates individuals born MLP are performing worse than the population of term-born controls, on average.
Figure 3Forced vital capacity z-score (zFVC) of the moderate-late preterm (MLP) group compared with the term group. A mean zFVC less than 0 indicates individuals born MLP are performing worse than the population of term-born controls, on average.
Figure 4Forced expiratory volume in 1 second z-score (zFEV1) of the moderate-late preterm group compared with a z-score of 0. A mean zFEV1 less than 0 indicates individuals born MLP are performing worse than population norms, as derived from relevant reference equations, on average.