| Autor: |
Enny S. Paixao, Ph.D, Hannah Blencowe, MD, Ph.D, Ila Rocha Falcao, Ph.D, Eric O. Ohuma, Ph.D, Aline dos Santos Rocha, Flávia Jôse Oliveira Alves, Maria da Conceição N. Costa, MD, Ph.D, Lorena Suárez-Idueta, Naiá Ortelan, Ph.D, Liam Smeeth, MD, Ph.D, Laura C. Rodrigues, MD, Ph.D, Joy E Lawn, MB BS, Ph.D, Marcia Furquim de Almeida, MD, Ph.D, Maria Yury Ichihara, MD, PhD, Rita de Cássia Ribeiro Silva, Ph.D, Maria Gloria Teixeira, MD, Ph.D, Mauricio L. Barreto, MD, Ph.D |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
The Lancet Regional Health. Americas, Vol 3, Iss , Pp 100045- (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2667-193X |
| DOI: |
10.1016/j.lana.2021.100045 |
| Popis: |
Background: Preterm birth (25 times higher for LBW (HR=25.8; (95% CI:25.5-26.1) compared to normal birth weight (NBW). 18% of all live births were included in one of the small vulnerable newborn phenotypes. Of those 8.2% were term-SGA (4.7%NBW, 3.5%LBW), 0.6% were term-AGA-LBW, 8.3% preterm-AGA (3.8%NBW, 4.5%LBW) and 1.0% preterm-SGA-LBW. Compared to term-AGA-NBW, the highest mortality risk was for preterm-LBW phenotypes (HR=36.2(95%CI 35.6-36.8) preterm-AGA-LBW, HR=62.0(95%CI 60.8-63.2) preterm-SGA-LBW). The increased mortality risk associated with vulnerable newborn phenotypes was highest in the first month of life, with attenuated but continued high risk in the post-neonatal period and 1-4 years of age. Interpretation: Our findings support the value of using more detailed phenotypes to identify those at highest risk. More granular data can inform care at the individual level, advance research, especially for prevention, and accelerate progress towards global targets such as the Sustainable Development Goals. Funding: Wellcome Trust |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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