RESUMEN
BACKGROUND: Transportation of sick newborns is a major predictor of outcome. Prompt identification of the sickest newborns allows adequate intervention and outcome optimization. An optimal scoring system has not yet been identified. AIM: To identify a rapid, accurate, and easy-to-perform score predictive for neonatal mortality in outborn neonates. MATERIAL AND METHODS: All neonates admitted by transfer in a level III regional neonatal unit between 1 January 2015 and 31 December 2021 were included. Infants with congenital critical abnormalities were excluded (N = 15). Gestational age (GA), birth weight (BW), Apgar score, place of birth, time between delivery and admission (AT), early onset sepsis, and sick neonatal score (SNS) were collected from medical records and tested for their association with mortality, including in subgroups (preterm vs. term infants); GA, BW, and AT were used to develop MSNS-AT score, to improve mortality prediction. The main outcome was all-cause mortality prediction. Univariable and multivariable analysis, including Cox regression, were performed, and odds ratio and hazard ratios were calculated were appropriate. RESULTS: 418 infants were included; 217/403 infants were born prematurely (53.8%), and 20 died (4.96%). Compared with the survivors, the non-survivors had lower GA, BW, and SNS scores (p < 0.05); only the SNS scores remained lower in the subgroup analysis. Time to admission was associated with an increased mortality rate in the whole group and preterm infants (p < 0.05). In multiple Cox regression models, a cut-off value of MSNS-AT score ≤ 10 was more precise in predicting mortality as compared with SNS (AUC 0.735 vs. 0.775) in the entire group and in the preterm infants group (AUC 0.885 vs. 0.810). CONCLUSIONS: The new MSNS-AT score significantly improved mortality prediction at admission in the whole study group and in preterm infants as compared with the SNS score, suggesting that, besides GA and BW, AT may be decisive for the outcome of outborn preterm infants.
RESUMEN
BACKGROUND: As the COVID-19 pandemic evolved, concerns grew about its impact on pregnant women. This study aimed to determine how SARS-CoV-2 affects pregnancy, birth, and newborns, in order to identify vulnerable individuals and provide proper care. METHODS: This is a retrospective case-control study of 398 pregnant women who delivered at the Emergency Clinical County Hospital in Sibiu, Romania from 1 February 2020 to 31 March 2022. Patients were initially grouped and compared based on their RT-PCR SARS-CoV-2 test results into the COVID group (cases) (N = 199) and non-COVID group (control) (N = 199). The COVID cases were further divided and compared according to the pre-Delta (N = 105) and Delta/Omicron (N = 94) SARS-CoV-2 variants. COVID cases and control groups were compared to identify correlations between sociodemographic factors, pregnancy outcomes, and SARS-CoV-2 infection. The same comparisons were performed between pre-Delta and Delta/Omicron groups. RESULTS: There were no significant differences concerning maternal residence, while educational level and employment proportion were higher among the positively tested patients. No significant differences were found for neonatal and pregnancy complications between COVID cases and control groups. Except for a lower mean gestational age, no significant differences were found between pre-Delta and Delta/Omicron periods. The maternal mortality in the infected group was 0.5% (1 case). CONCLUSIONS: Our study showed that SARS-CoV-2 infection at birth did not significantly affect maternal and neonatal outcomes, not even considering the SARS-CoV-2 strain.
