Prediction of mortality in very low birth weight neonates in Spain

Iriondo, Martín; Thió, Marta; Río, Rubén del; Baucells, Benjamin J.; Bosio, Mattia; Figueras‐Aloy, Josep

doi:10.1371/journal.pone.0235794

Cited by 10 publications

(13 citation statements)

References 38 publications

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“…We identified 59 studies for the topic of in-hospital mortality. 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 While the majority of studies used a retrospective cohort design, 11 used a prospective approach, 120 122 129 140 143 166 169 170 172 174 175 and two were meta-analysis studies. 154 …”

Section: Resultsmentioning

confidence: 99%

“…134 167 With the emergence of public databases containing COVID-19 data, since 2020, many studies used these databases for their studies. 120 123 128 131 140 142 143 146 169 Study populations primarily comprised adults (sometimes limited to subpopulations such as those with chronic illnesses [e.g., Takada et al 164 and Sukmark et al 163 ]), but three studies included pediatric populations, 138 154 161 one study included newborns, 150 and two studies included elder patients aged over 65 years. 121 155 Sample sizes ranged from 15 to 9,000,000 observations.…”

Section: Resultsmentioning

confidence: 99%

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Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature

et al. 2022

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Background The term “data science” encompasses several methods, many of which are considered cutting edge and are being used to influence care processes across the world. Nursing is an applied science and a key discipline in health care systems in both clinical and administrative areas, making the profession increasingly influenced by the latest advances in data science. The greater informatics community should be aware of current trends regarding the intersection of nursing and data science, as developments in nursing practice have cross-professional implications. Objectives This study aimed to summarize the latest (calendar year 2020) research and applications of nursing-relevant patient outcomes and clinical processes in the data science literature. Methods We conducted a rapid review of the literature to identify relevant research published during the year 2020. We explored the following 16 topics: (1) artificial intelligence/machine learning credibility and acceptance, (2) burnout, (3) complex care (outpatient), (4) emergency department visits, (5) falls, (6) health care–acquired infections, (7) health care utilization and costs, (8) hospitalization, (9) in-hospital mortality, (10) length of stay, (11) pain, (12) patient safety, (13) pressure injuries, (14) readmissions, (15) staffing, and (16) unit culture. Results Of 16,589 articles, 244 were included in the review. All topics were represented by literature published in 2020, ranging from 1 article to 59 articles. Numerous contemporary data science methods were represented in the literature including the use of machine learning, neural networks, and natural language processing. Conclusion This review provides an overview of the data science trends that were relevant to nursing practice in 2020. Examinations of such literature are important to monitor the status of data science's influence in nursing practice.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature

et al. 2022

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“…“Respiratory support on the first day, the use of surfactant on the first day and birthweight” were suggested to be the key individual factors that determine risk of SNO. These factors in our final model are also well-known predictors of survival in preterm infants [ 29 , 30 ]. As expected, birthweight was the strongest predictor.…”

Section: Discussionmentioning

confidence: 99%

Predicting risk of severe neonatal outcomes in preterm infants born from mother with prelabor rupture of membranes

Zhang

Zhu

et al. 2022

BMC Pregnancy Childbirth

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Background Perinatal complications are common burdens for neonates born from mother with pPROM. Physicians and parents sometimes need to make critical decisions about neonatal care with short- and long-term implications on infant’s health and families and it is important to predict severe neonatal outcomes with high accuracy. Methods The study was based on our prospective study on 1001 preterm infants born from mother with pPROM from August 1, 2017, to March 31, 2018 in three hospitals in China. Multivariable logistic regression analysis was applied to build a predicting model incorporating obstetric and neonatal characteristics available within the first day of NICU admission. We used enhanced bootstrap resampling for internal validation. Results One thousand one-hundred pregnancies with PROM at preterm with a single fetus were included in our study. SNO was diagnosed in 180 (17.98%) neonates. On multivariate analysis of the primary cohort, independent factors for SNO were respiratory support on the first day,, surfactant on day 1, and birth weight, which were selected into the nomogram. The model displayed good discrimination with a C-index of 0.838 (95%CI, 0.802–0.874) and good calibration performance. High C-index value of 0.835 could still be reached in the internal validation and the calibration curve showed good agreement. Decision curve analysis showed if the threshold is > 15%, using our model would achieve higher net benefit than model with birthweight as the only one predictor. Conclusion Variables available on the first day in NICU including respiratory support on the first day, the use of surfactant on the first day and birthweight could be used to predict the risk of SNO in infants born from mother with pPROM with good discrimination and calibration performance.

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“…Despite the growing awareness about the role of the pathophysiologic mechanism, or endotype, triggering prematurity in its outcome (4-7, 15-19), this variable is rarely taken into account in the models predicting mortality in the preterm newborn (20-22). Furthermore, to the best of our knowledge, the association between the endotype of prematurity and mortality during primary hospital admission has not been systematically reviewed.…”

Section: Introductionmentioning

confidence: 99%

Systematic Review Association between Endotype of Prematurity and Mortality: A Systematic Review, Meta-analysis and Meta-regression

Hundscheid¹,

Villamor-Martínez²,

Villamor³

2023

Preprint

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Introduction Preterm birth represents the leading cause of neonatal mortality. Pathophysiological pathways, or endotypes, leading to prematurity can be clustered into infection/inflammation and dysfunctional placentation. We aimed to perform a systematic review and meta-analysis exploring the association between these endotypes and risk of mortality during first hospital admission. Methods PROSPERO ID: CRD42020184843. PubMed and Embase were searched for observational studies examining infants with gestational age (GA) ≤34 weeks. Chorioamnionitis represented the infectious-inflammatory endotype, while dysfunctional placentation proxies were hypertensive disorders of pregnancy (HDP) and small for GA (SGA)/intrauterine growth restriction (IUGR). A random-effects model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Heterogeneity was studied using random-effects meta-regression analysis. Results Of 4322 potentially relevant studies, 150 (612,580 infants) were included. Meta- analysis showed a positive mortality odds for chorioamnionitis (OR 1.43, 95% CI 1.25-1.62) and SGA/IUGR (OR 1.68, 95% CI 1.38-2.04), but a negative mortality odds for HDP (OR 0.74, 95% CI 0.64-0.86). Chorioamnionitis was associated with a lower GA, while HDP and SGA/IUGR were associated with a higher GA. Meta-regression showed a significant correlation between these differences in GA and mortality odds. Discussion/Conclusion Our data suggest that the infectious/inflammatory endotype of prematurity has a greater overall impact on mortality risk as it is the most frequent endotype in the lower GAs. However, when the endotype of placental dysfunction is severe enough to induce growth restriction, it is strongly associated with higher mortality rates even though newborns are more mature.

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Prediction of mortality in very low birth weight neonates in Spain

Cited by 10 publications

References 38 publications

Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature

Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature

Predicting risk of severe neonatal outcomes in preterm infants born from mother with prelabor rupture of membranes

Systematic Review Association between Endotype of Prematurity and Mortality: A Systematic Review, Meta-analysis and Meta-regression

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