Risk of mortality for small newborns in Brazil, 2011-2018: A national birth cohort study of 17.6 million records from routine register-based linked data

Background: Preterm birth (<37 weeks), low birth weight (LBW,<2500g), and small for gestational age (SGA,<10th centile of birth weight for gestational age and sex) are markers of newborn vulnerability with a high risk of mortality. We estimated the prevalence of phenotypes combining these t...

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Main Authors: Enny S. Paixao, Ph.D (Author), Hannah Blencowe, MD, Ph.D (Author), Ila Rocha Falcao, Ph.D (Author), Eric O. Ohuma, Ph.D (Author), Aline dos Santos Rocha (Author), Flávia Jôse Oliveira Alves (Author), Maria da Conceição N. Costa, MD, Ph.D (Author), Lorena Suárez-Idueta (Author), Naiá Ortelan, Ph.D (Author), Liam Smeeth, MD, Ph.D (Author), Laura C. Rodrigues, MD, Ph.D (Author), Joy E Lawn, MB BS, Ph.D (Author), Marcia Furquim de Almeida, MD, Ph.D (Author), Maria Yury Ichihara, MD, PhD (Author), Rita de Cássia Ribeiro Silva, Ph.D (Author), Maria Gloria Teixeira, MD, Ph.D (Author), Mauricio L. Barreto, MD, Ph.D (Author)
Format: Book
Published: Elsevier, 2021-11-01T00:00:00Z.
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100 1 0 |a Enny S. Paixao, Ph.D  |e author 
700 1 0 |a Hannah Blencowe, MD, Ph.D  |e author 
700 1 0 |a Ila Rocha Falcao, Ph.D  |e author 
700 1 0 |a Eric O. Ohuma, Ph.D  |e author 
700 1 0 |a Aline dos Santos Rocha  |e author 
700 1 0 |a Flávia Jôse Oliveira Alves  |e author 
700 1 0 |a Maria da Conceição N. Costa, MD, Ph.D  |e author 
700 1 0 |a Lorena Suárez-Idueta  |e author 
700 1 0 |a Naiá Ortelan, Ph.D  |e author 
700 1 0 |a Liam Smeeth, MD, Ph.D  |e author 
700 1 0 |a Laura C. Rodrigues, MD, Ph.D  |e author 
700 1 0 |a Joy E Lawn, MB BS, Ph.D  |e author 
700 1 0 |a Marcia Furquim de Almeida, MD, Ph.D  |e author 
700 1 0 |a Maria Yury Ichihara, MD, PhD  |e author 
700 1 0 |a Rita de Cássia Ribeiro Silva, Ph.D  |e author 
700 1 0 |a Maria Gloria Teixeira, MD, Ph.D  |e author 
700 1 0 |a Mauricio L. Barreto, MD, Ph.D  |e author 
245 0 0 |a Risk of mortality for small newborns in Brazil, 2011-2018: A national birth cohort study of 17.6 million records from routine register-based linked data 
260 |b Elsevier,   |c 2021-11-01T00:00:00Z. 
500 |a 2667-193X 
500 |a 10.1016/j.lana.2021.100045 
520 |a Background: Preterm birth (<37 weeks), low birth weight (LBW,<2500g), and small for gestational age (SGA,<10th centile of birth weight for gestational age and sex) are markers of newborn vulnerability with a high risk of mortality. We estimated the prevalence of phenotypes combining these three markers and quantified the mortality risk associated with them. Methods: Population-based cohort study using routine register-based linked data on all births and deaths in Brazil from January 1, 2011, to December 31, 2018. We estimated the prevalence of preterm, LBW, and SGA individually and for phenotypes combining these characteristics. The mortality risk associated with each phenotype: early neonatal, late neonatal, neonatal, post-neonatal, infant, 1-4 years, and under five years was quantified using mortality rates and hazard ratios (HRs) with 95% confidence interval (CI) were estimated using Cox proportional hazard models. Findings: 17,646,115 live births were included. Prevalence of preterm birth, LBW and SGA were 9.4%, 9.6% and 9.2%, respectively. Neonatal mortality risk was 16-fold (HR=15.9; 95% CI:15.7-16.1) higher for preterm compared to term, 3 times higher (HR=3.4; (95% CI:3.3-3.4) for SGA compared to adequate for gestational age (AGA), and >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 
546 |a EN 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n The Lancet Regional Health. Americas, Vol 3, Iss , Pp 100045- (2021) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2667193X21000375 
787 0 |n https://doaj.org/toc/2667-193X 
856 4 1 |u https://doaj.org/article/0ca6c8093a804d25b9f1814ea0a05461  |z Connect to this object online.