Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis

McLeod, Jennifer S.; Menon, Anitha; Matusko, Niki; Weiner, Gary M.; Gadepalli, Samir K.; Barks, John; Mychaliska, George B.; Perrone, Erin E.

doi:10.1038/s41372-020-0650-0

Cited by 30 publications

(28 citation statements)

References 53 publications

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“…In a systematic review and meta-analysis [6] of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) the authors used PubMed, EMBASE, and Scopus as data sources published before January 2019. It is of note that only 24 out of 1,659 studies satisfied the inclusion criteria (McLeod et al 2020) [6]. The CRIB index was the most accurate in predicting the pre-discharge mortality [AUC 0.88 (0.86-0.90)], while the GA was the least discriminate [AUC 0.76 (0.72-0.80)] [6].…”

Section: Discussionmentioning

confidence: 99%

“…It is of note that only 24 out of 1,659 studies satisfied the inclusion criteria (McLeod et al 2020) [6]. The CRIB index was the most accurate in predicting the pre-discharge mortality [AUC 0.88 (0.86-0.90)], while the GA was the least discriminate [AUC 0.76 (0.72-0.80)] [6].…”

Section: Discussionmentioning

confidence: 99%

“…To assess the risk in newborns we used the CRIB-II scale [3][4][5][6][7][8]. The scale uses five parameters: gender, body weight, the worst basis excess, body temperature and referral.…”

Section: Methodsmentioning

confidence: 99%

“…All those factors contribute not only for the high mortality rates in neonates but also for a significant numbers of children with neurological problems and mental retardation. Several scales -SNAPPE, SNAPPE-II [3,4,5] and CRIB-II [6,7,8] have been developed in order to determine the outcome and mortality in high-risk babies. This would add to personalizing their treatment and possibly improve the outcome.…”

Section: The Crib II (Clinical Risk Index For Babies Ii) Score In Prementioning

confidence: 99%

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The CRIB II (Clinical Risk Index for Babies II) Score in Prediction of Neonatal Mortality

Stomnaroska

Danilovski

2020

Prilozi

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Predicting the outcome of neonatal critical patients remains elusive. The multiple factors of maternal state of health (infections, diabetes, gestosis), the placental situation (premature rupture of membranes) as well as multiple factors from the baby (small for gestational age, low Apgar score, low birth infections, mechanical ventilation, hypoglycaemia hyperglycamiea) render the approach to treatment of each patient individual and the outcome uncertain. Several approaches and scales are developed in order to assess the mortality risk in those rather complicated situations.We used the CRIB-II scale to assess the mortality risk in 80 patients delivered in a large tertiary level hospital with more than 4,000 deliveries yearly. The patients were stratified according to all the neonatal risk factors and comorbidities. The CRIB-II scale identified well the mortality rates, but not the outcomes. A large and well-balanced cohort of patients followed for a longer period is required to discern in detail the importance of CRIB-II scale in predicting outcomes in high-risk new-borns. This could serve as an assistance to personalized approach to severely sick children. In addition, it is a valuable method in comparing outcomes in different NICUs and outcomes in different times in the same NICU, thus rendering possible improvements in the same unit and among several NICU departments.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…To assess the risk in newborns we used the CRIB-II scale [3][4][5][6][7][8]. The scale uses five parameters: gender, body weight, the worst basis excess, body temperature and referral.…”

Section: Methodsmentioning

confidence: 99%

Section: The Crib II (Clinical Risk Index For Babies Ii) Score In Prementioning

confidence: 99%

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The CRIB II (Clinical Risk Index for Babies II) Score in Prediction of Neonatal Mortality

Stomnaroska

Danilovski

2020

Prilozi

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“…5,6 Specifically, birth weight <1,500 g, defined as very low birth weight, is affected by severe prematurity and leads to increased mortality. 7 Additionally, small for gestational age (SGA) infants have also been associated with neonatal and post-neonatal mortality. 4,8,9 Further, LBW and SGA are associated with increased risk of coronary artery disease, diabetes mellitus, and arterial hypertension in adult life, as described in the Baker hypothesis, 10 which has been revised to the concept of developmental origins of health and disease (DOHaD).…”

Section: Introductionmentioning

confidence: 99%

Maternal sleep duration and neonatal birth weight: The Japan Environment and Children’s Study

Murata

Kyozuka

Fukuda

et al. 2020

Preprint

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Objective: To evaluate the effect of maternal sleep duration (MSD) on low birth weight infants (LBW), small for gestational age infants (SGA), and macrosomia. Design: Prospective cohort study Setting: The Japan Environment and Children's Study (JECS) Population: Participants enrolled in JECS, with singleton pregnancies after 22 weeks, who gave birth between 2011 and 2014. Methods: Participants were categorized into five groups according to MSD during pregnancy: G1 (MSD <6.0 h), G2 (6.0-7.9 h), G3 (8.0-8.9 h), G4 (9.0-9.9 h), and G5 (10.0-12.0 h). Main outcome measures: The effect of MSD on the risk of LBW (<2,500 g and <1,500 g), SGA, and macrosomia (>4,000 g) with G2 as the reference, while adjusting for gestational excessive body weight gain (BWG). Analysis was also performed after stratification by gestational BWG. Results: We analyzed 82,171 participants. The adjusted odds ratios (aORs) of LBW <2,500 g in G4 and G5 and of SGA in G4 were 0.90 (95% confidence interval [CI], 0.83-0.99), 0.86 (95% CI, 0.76-0.99), and 0.91 (95% CI, 0.82-0.99), respectively, before adjusting for excessive gestational BWG. No significant association was observed between MSD and these outcomes after adjusting for excessive gestational BWG. Among women with appropriate gestational BWG, the aORs of LBW <2,500 g and SGA in G4 were 0.88 (95% CI, 0.80-0.97) and 0.87 (95% CI, 0.78-0.97), respectively. Conclusion: This study revealed that 9.0-9.9 h of MSD significantly decreased LBW <2,500 g and SGA in pregnant women with appropriate gestational BWG, relative to 6.0-7.9 h of MSD.

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Normale und gestörte Adaptation

Maier

2023

Obladens Neugeborenenintensivmedizin

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Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis

Cited by 30 publications

References 53 publications

The CRIB II (Clinical Risk Index for Babies II) Score in Prediction of Neonatal Mortality

The CRIB II (Clinical Risk Index for Babies II) Score in Prediction of Neonatal Mortality

Maternal sleep duration and neonatal birth weight: The Japan Environment and Children’s Study

Normale und gestörte Adaptation

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