Assessment of sickness severity of illness in neonates: review of various neonatal illness scoring systems

Comparing nSOFA, CRIB-II, and SNAPPE-II for predicting mortality and short-term morbidities in preterm infants ≤32 weeks gestation

BACKGROUND

Neonatal illness severity scores are not extensively studied for their ability to predict mortality or morbidity in preterm infants. The aim of this study was to compare the Neonatal Sequential Organ Failure Assessment (nSOFA), Clinical Risk Index for Babies-II (CRIB-II), and Score for Neonatal Acute Physiology with Perinatal extension-II (SNAPPE-II) for predicting mortality and short-term morbidities in preterm infants ≤32 weeks.

METHODS

In this retrospective study, infants born in 2017-2018 with gestational age (GA) ≤32 weeks were evaluated. nSOFA, CRIB-II, and SNAPPE-II scores were calculated for each patient, and the ability of these scores to predict mortality and morbidities was compared. The morbidities were categorized as mod/sev bronchopulmonary dysplasia (BPD), necrotizing enterocolitis (NEC) requiring surgery, early-onset sepsis (EOS), late-onset sepsis (LOS), retinopathy of prematurity (ROP) requiring treatment, and severe intraventricular hemorrhage (IVH). Calculating the area under the curve (AUC) on receiver operating characteristic curves (ROC) analysis to predict and compare scoring systems' accuracy.

RESULTS

A total of 759 preterm infants were enrolled, of whom 88 deceased. The median nSOFA, CRIB-II, and SNAPPE-II scores were 2 (0, 3), 6 (4, 8), and 13 (5, 26), respectively. Compared with infants who survived, these three scores were significantly higher in those who deceased (p < 0.05). For predicting mortality, the AUC of the nSOFA, SNAPPE-II, and CRIB-II were 0.90, 0.82, and 0.79, respectively. The nSOFA scoring system had significantly higher AUC than CRIB-II and SNAPPE-II (p < 0.05). However, short-term morbidities were not strongly correlated with these three scoring systems.

CONCLUSION

In infants ≤32 weeks gestation, nSOFA scoring system is more valuable in predicting mortality than SNAPPE-II and CRIB-II. However, further studies are required to assess the predictive power of neonatal illness severity scores for morbidity.

Evaluating the Clinical Risk Index for Babies (CRIB) II Score for Mortality Prediction in Preterm Newborns: A Prospective Observational Study at a Tertiary Care Hospital

INTRODUCTION

Neonatal mortality is an issue that affects both the developed and developing world. It is very important in the neonatal intensive care unit (NICU) to do the assessment of the severity of neonatal illness, which in turn helps in estimating and preventing mortality in the NICU by improving healthcare control and by rational use of resources. This research was carried out to evaluate how effectively the Clinical Risk Index for Babies (CRIB) II score can predict mortality rates among newborns treated in our NICU.  Methodology: This prospective observational study spanned one year, commencing in October 2021 and concluding in September 2022, within the confines of our NICU. The CRIB II score calculation was performed for included newborns, and the outcomes of the newborns were compared. A receiver operating characteristic (ROC) curve was obtained to ascertain the optimal CRIB II cut-off score for predicting mortality.

RESULTS

Within the designated research timeframe, 292 neonates were admitted to the NICU. Forty-four newborns were enrolled in the study. Preterm neonates who died had higher CRIB II scores than those who survived, and their median (IQR) was 6 (1-12) vs. 9.5 (5-14) (p=0.0003). The estimate for the area under the curve was 0.83 (95% CI 0.68-0.92), and the odds ratio of 2.56 suggests neonates with a higher CRIB II score have higher chances of mortality.

CONCLUSION

The CRIB II score is very good at predicting mortality in preterm newborns.

Comparing different scoring systems for predicting mortality risk in preterm infants: a systematic review and network meta-analysis

Background

This study aimed to compare the predictive values of eight scoring systems (Neonatal Critical Illness Score [NCIS], Neonatal Therapeutical Intervention Score System [NTISS], Clinical Risk Index for Babies [CRIB], Clinical Risk Index for Babies II [CRIB-II], Score for Neonatal Acute Physiology Perinatal Extension [SNAPPE], Score for Neonatal Acute Physiology Perinatal Extension II [SNAPPE-II], Score for Neonatal Acute Physiology [SNAP], and Score for Neonatal Acute Physiology II [SNAP-II]) for the mortality risk among preterm infants.

Methods

The Embase, PubMed, Chinese Biomedical Database, Web of Science, and Cochrane Library databases were searched to collect studies that compared different scoring systems in predicting the mortality risk in preterm infants from database inception to March 2023. Literature screening, data extraction, and bias risk assessment were independently conducted by two researchers. Subsequently, the random-effects model was used for the network meta-analysis.

Results

A total of 19 articles were included, comprising 14,377 preterm infants and 8 scoring systems. Compared to CRIB-II, NCIS, NTISS, SNAP-II, and SNAPPE-II, CRIB demonstrated better predictive efficiency for preterm infant mortality risk (P < 0.05). Relative to CRIB, CRIB-II, and SNAPPE, SNAP-II had worse predictive efficiency for preterm infant mortality risk (P < 0.05). The surface under the cumulative ranking curve of the eight scoring systems was as follows: CRIB (0.980) > SNAPPE (0.718) >SNAP (0.534) >CRIB-II (0.525) >NTISS (0.478) >NCIS (0.422) >SNAPPE-II (0.298) >SNAP-II (0.046).

Conclusion

The CRIB scoring system showed the highest accuracy in predicting preterm infant mortality risk and was simple to perform. Therefore, CRIB selection can be prioritized in clinical practice.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=434731, PROSPERO (CRD42023434731).

Identification of the Best Predictive Model for Mortality in Outborn Neonates-Retrospective Cohort Study

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.

SNAPPE-II and MDAS scores as predictors for surgical intervention in very low birth weight neonates with necrotizing enterocolitis

BACKGROUND

Necrotizing enterocolitis (NEC) is the most common life-threatening gastrointestinal emergency in preterm and term neonates, with the majority of cases affecting neonates classified as very low birth weight (VLBW, bw <1500 g). Scores for neonatal acute physiology-perinatal extension-II (SNAPPE-II) and metabolic derangement acuity score (MDAS) have been developed and utilized to assess neonatal morbidity and mortality including the subset of VLBW neonates. Serial SNAPPE-II and MDAS scores have been reported in neonates with necrotizing enterocolitis to assist in surgical management, yielding mixed results.

OBJECTIVE

To determine the relationship between clinical and/or laboratory deterioration using SNAPPE-II and MDAS scores measured at the time of NEC diagnosis and surgical management of NEC.

METHODS

We retrospectively evaluated preterm neonates ≥23 weeks gestational age who developed pneumatosis intestinalis on radiographic imaging coupled with clinical signs of NEC. SNAPPE-II and MDAS scores were calculated within twelve hours of birth and within twelve hours of initial finding of pneumatosis intestinalis. Baseline characteristics and clinical variables between those who did and did not require surgical intervention were compared. Logistic regression and receiver - operator characteristics (ROC) curve analyses were also performed, and areas under the curve (AUC) computed, to assess the performance of SNAPPE-II and MDAS scoring systems to differentiate neonates with NEC in the two groups.

RESULTS

Sixty-four neonates were evaluated in our study of which 20 required surgical management of NEC. While the baseline SNAPPE-II and MDAS scores did not differ between the surgical management and medical management only groups, when rescored within 12 h of NEC diagnosis, the surgical management group had significantly higher SNAPPE -II (38 (18.5-69) vs. 19 (10-34.5), p = .04) and MDAS (2.5 (1-3) vs. 1 (0-2), p = .0004) scores. The AUCs for MDAS 0.77 (95% CI 0.65-0.89 and 0.71 (95% CI 0.57-0.85) for SNAPPE-II, indicating an acceptable level of diagnostic ability of both scoring systems to differentiate between those who did and did not need surgical management.

CONCLUSION

SNAPPE II and MDAS scores performed within 12 h of NEC diagnosis may be useful in predicting which preterm VLBW neonates will require surgical intervention.

Comparison of STOPS and SNAPPE-II in Predicting Neonatal Survival at Hospital Discharge: A Prospective, Multicentric, Observational Study

OBJECTIVE

To compare SNAPPE-II and STOPS admission severity scores in neonates admitted to neonatal intensive care unit (NICU) with a gestational age of ≥ 33 wk.

METHODS

In this multicenter, prospective, observational study, the sickness scoring was done on all the neonates at 12 h after admission to the NICUs. The scoring systems were compared by the area under the curve (AUC) on the receiver operating characteristics (ROC) curve.

RESULTS

A total of 669 neonates with gestational age ≥ 33 wk (mortality rate: 2.4%), who were admitted to five participating NICUs within 24 h of birth, were included. Both SNAPPE-II and STOPS had the good discriminatory and predictive ability for mortality with AUCs of 0.965 [95% confidence interval (CI): 0.94-0.98] and 0.92 (95% CI: 0.87-0.99), respectively. The STOPS scoring system with a cutoff score ≥ 4 on the ROC curve had 85% accuracy, whereas the SNAPPE-II cutoff score ≥ 33 on the ROC curve had 94% accuracy in predicting mortality.

CONCLUSION

In infants with the gestational age of ≥ 33 wk, SNAPPE-II and STOPS showed similar predictive ability, but the STOPS score, being a simpler clinical tool, might be more useful in resource-limited settings.

Early Prediction of Mortality after Birth Asphyxia with the nSOFA

(1) Birth asphyxia is a major cause of delivery room resuscitation. Subsequent organ failure and hypoxic-ischemic encephalopathy (HIE) account for 25% of all early postnatal deaths. The neonatal sequential organ failure assessment (nSOFA) considers platelet count and respiratory and cardiovascular dysfunction in neonates with sepsis. To evaluate whether nSOFA is also a useful predictor for in-hospital mortality in neonates (≥36 + 0 weeks of gestation (GA)) following asphyxia with HIE and therapeutic hypothermia (TH), (2) nSOFA was documented at ≤6 h of life. (3) A total of 65 infants fulfilled inclusion criteria for TH. All but one infant received cardiopulmonary resuscitation and/or respiratory support at birth. nSOFA was lower in survivors (median 0 [IQR 0-2]; n = 56, median GA 39 + 3, female n = 28 (50%)) than in non-survivors (median 10 [4-12], p < 0.001; n = 9, median GA 38 + 6, n = 4 (44.4%)). This was also observed for the respiratory (p < 0.001), cardiovascular (p < 0.001), and hematologic sub-scores (p = 0.003). The odds ratio for mortality was 1.6 [95% CI = 1.2-2.1] per one-point increase in nSOFA. The optimal cut-off value of nSOFA to predict mortality was 3.5 (sensitivity 100.0%, specificity 83.9%). (4) Since early accurate prognosis following asphyxia with HIE and TH is essential to guide decision making, nSOFA (≤6 h of life) offers the possibility of identifying infants at risk of mortality.

Patterns of antibiotic use, pathogens, and prediction of mortality in hospitalized neonates and young infants with sepsis: A global neonatal sepsis observational cohort study (NeoOBS)

BACKGROUND

There is limited data on antibiotic treatment in hospitalized neonates in low- and middle-income countries (LMICs). We aimed to describe patterns of antibiotic use, pathogens, and clinical outcomes, and to develop a severity score predicting mortality in neonatal sepsis to inform future clinical trial design.

METHODS AND FINDINGS

Hospitalized infants <60 days with clinical sepsis were enrolled during 2018 to 2020 by 19 sites in 11 countries (mainly Asia and Africa). Prospective daily observational data was collected on clinical signs, supportive care, antibiotic treatment, microbiology, and 28-day mortality. Two prediction models were developed for (1) 28-day mortality from baseline variables (baseline NeoSep Severity Score); and (2) daily risk of death on IV antibiotics from daily updated assessments (NeoSep Recovery Score). Multivariable Cox regression models included a randomly selected 85% of infants, with 15% for validation. A total of 3,204 infants were enrolled, with median birth weight of 2,500 g (IQR 1,400 to 3,000) and postnatal age of 5 days (IQR 1 to 15). 206 different empiric antibiotic combinations were started in 3,141 infants, which were structured into 5 groups based on the World Health Organization (WHO) AWaRe classification. Approximately 25.9% (n = 814) of infants started WHO first line regimens (Group 1-Access) and 13.8% (n = 432) started WHO second-line cephalosporins (cefotaxime/ceftriaxone) (Group 2-"Low" Watch). The largest group (34.0%, n = 1,068) started a regimen providing partial extended-spectrum beta-lactamase (ESBL)/pseudomonal coverage (piperacillin-tazobactam, ceftazidime, or fluoroquinolone-based) (Group 3-"Medium" Watch), 18.0% (n = 566) started a carbapenem (Group 4-"High" Watch), and 1.8% (n = 57) a Reserve antibiotic (Group 5, largely colistin-based), and 728/2,880 (25.3%) of initial regimens in Groups 1 to 4 were escalated, mainly to carbapenems, usually for clinical deterioration (n = 480; 65.9%). A total of 564/3,195 infants (17.7%) were blood culture pathogen positive, of whom 62.9% (n = 355) had a gram-negative organism, predominantly Klebsiella pneumoniae (n = 132) or Acinetobacter spp. (n = 72). Both were commonly resistant to WHO-recommended regimens and to carbapenems in 43 (32.6%) and 50 (71.4%) of cases, respectively. MRSA accounted for 33 (61.1%) of 54 Staphylococcus aureus isolates. Overall, 350/3,204 infants died (11.3%; 95% CI 10.2% to 12.5%), 17.7% if blood cultures were positive for pathogens (95% CI 14.7% to 21.1%, n = 99/564). A baseline NeoSep Severity Score had a C-index of 0.76 (0.69 to 0.82) in the validation sample, with mortality of 1.6% (3/189; 95% CI: 0.5% to 4.6%), 11.0% (27/245; 7.7% to 15.6%), and 27.3% (12/44; 16.3% to 41.8%) in low (score 0 to 4), medium (5 to 8), and high (9 to 16) risk groups, respectively, with similar performance across subgroups. A related NeoSep Recovery Score had an area under the receiver operating curve for predicting death the next day between 0.8 and 0.9 over the first week. There was significant variation in outcomes between sites and external validation would strengthen score applicability.

CONCLUSION

Antibiotic regimens used in neonatal sepsis commonly diverge from WHO guidelines, and trials of novel empiric regimens are urgently needed in the context of increasing antimicrobial resistance (AMR). The baseline NeoSep Severity Score identifies high mortality risk criteria for trial entry, while the NeoSep Recovery Score can help guide decisions on regimen change. NeoOBS data informed the NeoSep1 antibiotic trial (ISRCTN48721236), which aims to identify novel first- and second-line empiric antibiotic regimens for neonatal sepsis.

TRIAL REGISTRATION

ClinicalTrials.gov, (NCT03721302).

A Study of the Prediction of Mortality in a Tertiary Care Hospital Using the Modified Sick Neonatal Score (MSNS): An Observational Cross-Sectional Study

PURPOSE

India is a major contributor to neonatal deaths worldwide. There is a paucity of amenities for the management of neonatal health issues in rural areas of our country. Hence, there is a need to invent a reliable scoring system for the analysis of neonatal mortality.

AIM

The aim of the study is to evaluate the Modified Sick Neonatal Score (MSNS) as a predictor of mortality in neonatal care units in resource-limited settings.

MATERIALS AND METHODS

This cross-sectional observational study was performed in the intensive care unit of our hospital. All the data were collected and analyzed using IBM Corp.'s Statistical Package for Social Sciences (SPSS) software.

RESULTS

Overall, 71 participants were considered for the present study. The common clinical diagnoses noticed in our participants were meconium aspiration, malformation, and jaundice. The MSNS score compared between expired and discharged participants is found to be statistically significant with p<0.05.

CONCLUSION

The MSNS scoring system is considered an ideal scoring system for detecting early mortality in neonates.

Parental resilience and psychological distress in the neonatal intensive care unit

OBJECTIVE

To evaluate the associations between parental resilience and psychological distress during the neonatal intensive care unit (NICU) hospitalization.

STUDY DESIGN

Observational cohort study of parents of preterm infants (n = 45) admitted to a NICU between December 2017-October 2019. Data on resilience and psychological distress were collected using validated scales. Regression analysis was used to evaluate associations.

RESULT

One-third of NICU parents screened positive for depression or anxiety. There were no identified sociodemographic factors or parental engagement activities associated with resilience. Parents with higher resilience had lower scores on depression and anxiety screens. However, resilience alone was not a predictor for a positive depression or anxiety screen (aOR 0.93, CI 0.86-1.00; aOR 0.95, CI 0.89-1.02, respectively).

CONCLUSION

Resilience may be associated with lower scores on depression and anxiety screens but is not an independent predictor for a positive screen during the early NICU hospitalization.

Assessment of Severity and Prediction of Outcomes in Premature Newborns Based on the nSOFA Scale

The objective: to evaluate the applicability of the nSOFA scale as a predictor of an unfavorable outcome in premature newborns.

Subjects. The study was designed as retrospective and observational. The study enrolled 109 newborns with a gestational age of ≤ 32 weeks of pregnancy (birth weight 1,071 (772‒1,451) g, gestational age 29 (26‒32) weeks, 22 (20,4%) patients died. nSOFA scores were determined based on the first 72 hours after birth, and a peak values were used for analysis. Death was considered an unfavorable outcome.

Results. The nSOFA score > 3 was associated with a odds ratio = 2.5 (CI 1.39–4.64, p = 0.002) for an unfavorable outcome. The area under the ROC curve was 0.796 (95% CI = 0.763–0.827).

Conclusion. The nSOFA scale is an acceptable tool for measuring the severity of organ dysfunction and predicting mortality in premature newborns, regardless of the etiology of the disease.

Data-Driven Nurse Staffing in the Neonatal Intensive Care Unit

ABSTRACT

The challenge of nurse staffing is amplified in the acute care neonatal intensive care unit (NICU) setting, where a wide range of highly variable factors affect staffing. A comprehensive overview of infant factors (severity, intensity), nurse factors (education, experience, preferences, team dynamics), and unit factors (structure, layout, shift length, care model) influencing pre-shift NICU staffing is presented, along with how intra-shift variability of these and other factors must be accounted for to maintain effective and efficient assignments. There is opportunity to improve workload estimations and acuity measures for pre-shift staffing using technology and predictive analytics. Nurse staffing decisions affected by intra-shift factor variability can be enhanced using novel care models that decentralize decision-making. Improving NICU staffing requires a deliberate, systematic, data-driven approach, with commitment from nurses, resources from the management team, and an institutional culture prioritizing patient safety.

Comparison of four neonatal transport scoring methods in the prediction of mortality risk in full-term, out-born infants: a single-center retrospective cohort study

Neonatal transport scoring systems can assess severity before and after transport, improve transport efficiency, and predict the occurrence of critical illness. The aim of this study was to compare four neonatal transport scoring methods to predict mortality risk and clinical utility within the first week after transportation. This was a single-center retrospective cohort study. All patients were full-term, out-born neonates. Each patient was assessed by the Transport Risk Index of Physiologic Stability (TRIPS), Mortality Index for Neonatal Transportation (MINT), Transport-Related Mortality Score (TREMS), and Neonatal Critical Illness Score (NCIS) scoring methods. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) for each method were compared for their utility in predicting mortality risk within the 1st week after admission. In total, 368 full-term infants were included (368/770, 47.8% of all transported infants). Within the 1st week after admission, five infants (1.36%, 5/368) died while receiving advanced life support and full treatment, and 24 infants (6.52%, 24/368) died soon after they were discharged against medical advice. The areas under the curve (AUCs) for the MINT, TRIPS, TREMS, and NCIS for the prediction of mortality were 0.822, 0.827, 0.643, and 0.731, respectively (all p < 0.05). However, the clinical net benefits for the MINT and TRIPS were far superior than those for the NCIS and TREMS.

CONCLUSION

It was concluded that the TRIPS and MINT might be more suitable for the prediction of mortality in full-term, out-born neonates in the neonatal intensive care unit (NICU) within the 1st week after transportation.

WHAT IS KNOWN

• Neonatal transport scores can assess not only the mortality risk during transportation but also the mortality risk of critically ill newborns after admission to the NICU. • The effectiveness of neonatal transport scores in predicting mortality risk is different.

WHAT IS NEW

• Our data indicate that the diagnostic efficacy of the MINT, TRIPS, and NCIS in the prediction of full-term infant mortality was high. • The TRIPS and MINT scores had better clinical utility and could be used to predict mortality within the 1st week after transportation in full-term out-born neonates.

Neonatal Sequential Organ Failure Assessment (nSOFA) Score within 72 Hours after Birth Reliably Predicts Mortality and Serious Morbidity in Very Preterm Infants

The aim of this study was to assess the applicability of the neonatal sequential organ failure assessment score (nSOFA) within 72 h after delivery as a predictor for mortality and adverse outcome in very preterm neonates. Inborn neonates <32 weeks of gestation were evaluated. The nSOFA scores were calculated from medical records in the first 72 h after birth and the peak value was used for analysis. Death or composite morbidity at hospital discharge defined the adverse outcome. Composite morbidity consisted of chronic lung disease, intraventricular haemorrhage ≥grade III, periventricular leukomalacia and necrotizing enterocolitis. Among 423 enrolled infants (median birth weight 1070 g, median gestational age 29 weeks), 27 died and 91 developed composite morbidity. Death or composite morbidity was associated with organ dysfunction as assessed by nSOFA, systemic inflammatory response, and low birthweight. The score >2 was associated with OR 2.5 (CI 1.39−4.64, p = 0.002) for the adverse outcome. Area under the curve of ROC was 0.795 (95% CI = 0.763−0.827). The use of nSOFA seems to be reasonable for predicting mortality and morbidity in very preterm infants. It constitutes a suitable basis to measure the severity of organ dysfunction regardless of the cause.

Pandemic planning: Developing a triage framework for Neonatal Intensive Care Unit

Although the Covid-19 pandemic has not had a direct impact on neonates so far, it has raised concerns about resource distribution and showed that planning is required before the next crisis or pandemic. Resource allocation must consider unique Neonatal Intensive Care Unit (NICU) attributes, including physical space and equipment that may not be transferable to older populations, unique skills of NICU staff, inherent uncertainty in prognosis both antenatally and postnatally, possible biases against neonates, and the future pandemic disease's possible impact on neonates. We identified the need for a validated Neonatal Severity of Illness Prognostic Score to guide triage decisions. Based on this score, triage decisions are the responsibility of an informed triage team not involved in direct patient care. Support for the distress experienced by parents and staff is needed. This paper presents essential considerations in developing a practical framework for resources and triage in the NICU before, during and after a pandemic.

Maternal and neonatal risk factors for neonatal respiratory distress syndrome in term neonates in Cyprus: a prospective case-control study

Background

Neonatal respiratory distress syndrome (NRDS) is strongly associated with premature birth, but it can also affect term neonates. Unlike the extent of research in preterm neonates, risk factors associated with incidence and severity of NRDS in term neonates are not well studied. In this study, we examined the association of maternal and neonatal risk factors with the incidence and severity of NRDS in term neonates admitted to Neonatal Intensive Care Unit (NICU) in Cyprus.

Methods

In a prospective, case-control design we recruited term neonates with NRDS and non-NRDS admitted to the NICU of Archbishop Makarios III hospital, the only neonatal tertiary centre in Cyprus, between April 2017–October 2018. Clinical data were obtained from patients’ files. We used univariate and multivariate logistic and linear regression models to analyse binary and continuous outcomes respectively.

Results

During the 18-month study period, 134 term neonates admitted to NICU were recruited, 55 (41%) with NRDS diagnosis and 79 with non-NRDS as controls. In multivariate adjusted analysis, male gender (OR: 4.35, 95% CI: 1.03–18.39, p = 0.045) and elective caesarean section (OR: 11.92, 95% CI: 1.80–78.95, p = 0.01) were identified as independent predictors of NRDS. Among neonates with NRDS, early-onset infection tended to be associated with increased administration of surfactant (β:0.75, 95% CI: − 0.02-1.52, p = 0.055). Incidence of pulmonary hypertension or systemic hypotension were associated with longer duration of parenteral nutrition (pulmonary hypertension: 11Vs 5 days, p < 0.001, systemic hypotension: 7 Vs 4 days, p = 0.01) and higher rate of blood transfusion (pulmonary hypertension: 100% Vs 67%, p = 0.045, systemic hypotension: 85% Vs 55%, p = 0.013).

Conclusions

This study highlights the role of elective caesarean section and male gender as independent risk factors for NRDS in term neonates. Certain therapeutic interventions are associated with complications during the course of disease. These findings can inform the development of evidence-based recommendations for improved perinatal care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13052-021-01086-5.

Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates

Premature birth is the primary risk factor in neonatal deaths, with the majority of extremely premature babies cared for in neonatal intensive care units (NICUs). Mortality risk prediction in this setting can greatly improve patient outcomes and resource utilization. However, existing schemes often require laborious medical testing and calculation, and are typically only calculated once at admission. In this work, we propose a shallow hybrid neural network for the prediction of mortality risk in 3-day, 7-day, and 14-day risk windows using only birthweight, gestational age, sex, and heart rate (HR) and respiratory rate (RR) information from a 12-h window. As such, this scheme is capable of continuously updating mortality risk assessment, enabling analysis of health trends and responses to treatment. The highest performing scheme was the network that considered mortality risk within 3 days, with this scheme outperforming state-of-the-art works in the literature and achieving an area under the receiver-operator curve (AUROC) of 0.9336 with standard deviation of 0.0337 across 5 folds of cross-validation. As such, we conclude that our proposed scheme could readily be used for continuously-updating mortality risk prediction in NICU environments.

Therapeutic effects and outcomes of rescue high-frequency oscillatory ventilation for premature infants with severe refractory respiratory failure

Despite wide application of high frequency oscillatory ventilation (HFOV) in neonates with respiratory distress, little has been reported about its rescue use in preterm infants. We aimed to evaluate the therapeutic effects of HFOV in preterm neonates with refractory respiratory failure and investigate the independent risk factors of in-hospital mortality. We retrospectively analyzed data collected prospectively (January 2011–December 2018) in four neonatal intensive care units of two tertiary-level medical centers in Taiwan. All premature infants (gestational age 24–34 weeks) receiving HFOV as rescue therapy for refractory respiratory failure were included. A total of 668 preterm neonates with refractory respiratory failure were enrolled. The median (IQR) gestational age and birth weight were 27.3 (25.3–31.0) weeks and 915.0 (710.0–1380.0) g, respectively. Pre-HFOV use of cardiac inotropic agents and inhaled nitric oxide were 70.5% and 23.4%, respectively. The oxygenation index (OI), FiO₂, and AaDO₂ were markedly increased after HFOV initiation (all p < 0.001), and can be decreased within 24–48 h (all p < 0.001) after use of HFOV. 375 (56.1%) patients had a good response to HFOV within 3 days. The final in-hospital mortality rate was 34.7%. No association was found between specific primary pulmonary disease and survival in multivariate analysis. We found preterm neonates with gestational age < 28 weeks, occurrences of sepsis, severe hypotension, multiple organ dysfunctions, initial higher severity of respiratory failure and response to HFOV within the first 72 h were independently associated with final in-hospital mortality. The mortality rate of preterm neonates with severe respiratory failure remains high after rescue HFOV treatment. Aggressive therapeutic interventions to treat sepsis and prevent organ dysfunctions are the suggested strategies to optimize outcomes.

Primary anastomosis as a valid alternative for extremely low birth weight infants with spontaneous intestinal perforation

The aim was to assess the results of primary anastomosis (PA) compared to enterostomy (ES) in infants with spontaneous intestinal perforation (SIP) and a weight below 1000 g. Between 2014 and 2016, enterostomy was routinely carried out on extremely low birth weight (ELBW) patients with SIP. From 2016 until 2019, all patients underwent anastomosis without stoma formation. We compared outcome and complications in both groups. Forty-two patients with a median gestational age of 24.3 weeks and a birth weight of 640 g with SIP were included. Thirty patients underwent PA; ES was performed in 12 patients. Overall in-hospital mortality was 11.9% (PA: 13.3%, ES: 8.3%). Reoperations due to complications became necessary in 10/30 patients with PA and 4/12 patients with ES. Length of stay was 110.5 days in the PA group and 124 days in the ES group. Median weight at discharge was higher in the PA group (PA: 2258 g, ES: 1880 g, p = .036).Conclusion: Primary anastomosis is a feasible treatment option for SIP in infants < 1000 g and may have a positive impact on weight gain and length of hospitalization. However, further studies on selection criteria for PA are necessary. What is Known: • Enterostomy (ES) and primary anastomosis (PA) are feasible treatment options in preterm infants with spontaneous intestinal perforation (SIP). • Stomal complications or failure to thrive due to poor food utilization can pose significant problems. What is New: • Primary anastomosis in case of SIP is equal to enterostomy in terms of mortality and revision rate; however, length of stay and weight gain can be presumably positively influenced. • Primary anastomosis is a valid treatment option even for patients weighing less than 1000 g.

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

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.

The Ethics of Creating a Resource Allocation Strategy During the COVID-19 Pandemic

The coronavirus disease 2019 pandemic has affected nearly every aspect of medicine and raises numerous moral dilemmas for clinicians. Foremost of these quandaries is how to delineate and implement crisis standards of care and, specifically, how to consider how health care resources should be distributed in times of shortage. We review basic principles of disaster planning and resource stewardship with ethical relevance for this and future public health crises, explore the role of illness severity scoring systems and their limitations and potential contribution to health disparities, and consider the role for exceptionally resource-intensive interventions. We also review the philosophical and practical underpinnings of crisis standards of care and describe historical approaches to scarce resource allocation to offer analysis and guidance for pediatric clinicians. Particular attention is given to the impact on children of this endeavor. Although few children have required hospitalization for symptomatic infection, children nonetheless have the potential to be profoundly affected by the strain on the health care system imposed by the pandemic and should be considered prospectively in resource allocation frameworks.

Ethical decision-making for children with neuromuscular disorders in the COVID-19 crisis

The sudden appearance and proliferation of coronavirus disease 2019 has forced societies and governmental authorities across the world to confront the possibility of resource constraints when critical care facilities are overwhelmed by the sheer numbers of grievously ill patients. As governments and health care systems develop and update policies and guidelines regarding the allocation of resources, patients and families affected by chronic disabilities, including many neuromuscular disorders that affect children and young adults, have become alarmed at the possibility that they may be determined to have less favorable prognoses due to their underlying diagnoses and thus be assigned to lower priority groups. It is important for health care workers, policymakers, and government officials to be aware that the long-term prognoses for children and young adults with neuromuscular disorders are often more promising than previously believed due to a better understanding of the natural history of these diseases, benefits of multidisciplinary supportive care, and novel molecular therapies that can dramatically improve the disease course. Although the realities of a global pandemic have the potential to require a shift from our usual, highly individualistic standards of care to crisis standards of care, shifting priorities should nonetheless be informed by good facts. Resource allocation guidelines with the potential to affect children and young adults with neuromuscular disorders should take into account the known trajectory of acute respiratory illness in this population and rely primarily on contemporary long-term outcome data.

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

OBJECTIVE

To compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting pre-discharge mortality among very low birth weight (VLBW) infants (<1500 g) and very preterm infants (<32 weeks' gestational age).

STUDY DESIGN

PubMed, EMBASE, and Scopus were the data sources searched for studies published before January 2019. Data were extracted, pooled, and analyzed using random-effects models and reported as AUC with 95% confidence intervals (CI).

RESULTS

Of 1659 screened studies, 24 met inclusion criteria. CRIB was the most discriminate for predicting pre-discharge mortality [AUC 0.88 (0.86-0.90)]. GA was the least discriminate [AUC 0.76 (0.72-0.80)].

CONCLUSIONS

Although the original CRIB score was the most accurate predictor of pre-discharge mortality, significant heterogeneity between studies lowers confidence in this pooled estimate. A more precise illness severity score to predict pre-discharge mortality is still needed.

Predictive ability of neonatal illness severity scores for early death in extremely premature infants

Background: The predictive ability of neonatal illness severity scores for mortality or morbidity in extremely premature infants has not been extensively studied. We aimed to evaluate the ability of neonatal illness severity scores [Clinical Risk Index for Babies II (CRIB II), Score for Neonatal Acute Physiology II (SNAP-II), and SNAP-Perinatal Extension II (SNAPPE-II)] in predicting mortality and short-term morbidity of extremely premature infants.Methods: This retrospective study involved 171 infants with gestational age (GA) between 22 and 27 weeks who were admitted to the NICU during 2010-2017. Predictive ability of neonatal illness severity scores for mortality and short-term morbidity (bronchopulmonary dysplasia, retinopathy of prematurity, intraventricular hemorrhage, necrotizing enterocolitis, and gastrointestinal perforation) was assessed by comparing their area under the receiver operating characteristic curve.Results: The overall mortality rate was 11.1%. Mortality at 23 weeks' gestation was higher than that at 24-27 weeks' gestation (p < .01, adjusted residual 4.5). Neonatal illness severity scores were significantly higher in infants who died than in those who survived (p < .01). CRIB II (AUC 0.93, 95% CI 0.85-1.00), SNAP-II (AUC 0.90, 95% CI 0.76-1.00), and SNAPPE-II (AUC 0.95, 95% CI 0.91-0.99) appeared to be excellent predictors and were superior to birth weight (AUC 0.88, 95% CI 0.80-0.95) or GA (AUC 0.84, 95% CI 0.72-0.96) alone in predicting early death (died on <28th postnatal day). CRIB II, SNAP-II, and SNAPPE-II were better predictors of early death than mortality in extremely premature infants. Neonatal illness severity score and short-term morbidity were not strongly associated.Conclusions: The neonatal illness severity scores were excellent predictors of early death in extremely premature infants and might be useful for selecting extremely preterm infants who need intervention.

Use of Ceftazidime-avibactam for the Treatment of Extensively drug-resistant or Pan drug-resistant Klebsiella pneumoniae in Neonates and Children <5 Years of Age

BACKGROUND

Emergence of extensively drug-resistant (XDR) or pan drug-resistant (PDR) Enterobacteriaceae is a major public threat especially for young patients. Treatment options for these bacteria are extremely limited with no safety data existing for neonates and children. Ceftazidime-avibactam has activity against Gram-negative bacteria producing Klebsiella pneumoniae carbapenemase, but virtually no data exist on its use in neonatal and pediatric patients.

METHODS

We present a single-center case series of neonates and children <5 years treated with ceftazidime-avibactam for XDR or PDR K. pneumoniae infections until August 2018. Medical records of patients who received ceftazidime-avibactam for at least 2 days (6 doses) were reviewed. Clinical, laboratory and microbiologic data were collected using a prestructured form. Adverse events and clinical/microbiologic responses and 15- and 30-day outcome were assessed.

RESULTS

In our case series, 8 patients (median age 53 days, range from 13 days to 4.5 years) received 9 courses of ceftazidime-avibactam at a dose of 62.5 mg/kg q8h for suspected or proven XDR/PDR K. pneumoniae infections including bloodstream infections (8 courses), central nervous system infections (2 courses) and urinary tract infection (1 course). All patients were critically ill and received other antibiotics prior and concomitantly with the administration of ceftazidime-avibactam. There was no treatment discontinuation due to adverse events. Clinical and microbiologic responses occurred in all patients, and no patient died by day 30.

CONCLUSIONS

Administration of ceftazidime-avibactam appears to be well tolerated and efficacious against in vitro susceptible XDR or PDR Enterobacteriaceae without being associated with significant adverse events.

Multiple antibiotic resistance as a risk factor for mortality and prolonged hospital stay: A cohort study among neonatal intensive care patients with hospital-acquired infections caused by gram-negative bacteria in Vietnam

BACKGROUND

Antibiotic resistance (ABR) is an increasing burden for global health. The prevalence of ABR in Southeast Asia is among the highest worldwide, especially in relation to hospital-acquired infections (HAI) in intensive care units (ICU). However, little is known about morbidity and mortality attributable to ABR in neonates.

AIM

This study aimed to assess mortality and the length of hospitalization attributable to ABR in gram-negative bacteria (GNB) causing HAI in a Vietnamese neonatal ICU (NICU).

METHODS

We conducted a prospective cohort study (n = 296) in a NICU in Hanoi, Vietnam, from March 2016 to October 2017. Patients isolated with HAI caused by GNB were included. The exposure was resistance to multiple antibiotic classes, the two outcomes were mortality and length of hospital stay (LOS). Data were analysed using two regression models, controlling for confounders and effect modifiers such as co-morbidities, time at risk, severity of illness, sex, age, and birthweight.

RESULTS

The overall case fatality rate was 44.3% and the 30 days mortality rate after infection was 31.8%. For every additional resistance to an antibiotic class, the odds of a fatal outcome increased by 27% and LOS increased by 2.1 days. These results were statistically significant (p < 0.05).

CONCLUSION

ABR was identified as a significant risk factor for adverse outcomes in neonates with HAI. These findings are generally in line with previous research in children and adults. However, heterogeneous study designs, the neglect of important confounders and varying definitions of ABR impair the validity, reliability, and comparability of results.

A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor

Estimation of mortality risk of very preterm neonates is carried out in clinical and research settings. We aimed at elaborating a prediction tool using machine learning methods. We developed models on a cohort of 23747 neonates <30 weeks gestational age, or <1501 g birth weight, enrolled in the Italian Neonatal Network in 2008-2014 (development set), using 12 easily collected perinatal variables. We used a cohort from 2015-2016 (N = 5810) as a test set. Among several machine learning methods we chose artificial Neural Networks (NN). The resulting predictor was compared with logistic regression models. In the test cohort, NN had a slightly better discrimination than logistic regression (P < 0.002). The differences were greater in subgroups of neonates (at various gestational age or birth weight intervals, singletons). Using a cutoff of death probability of 0.5, logistic regression misclassified 67/5810 neonates (1.2 percent) more than NN. In conclusion our study - the largest published so far - shows that even in this very simplified scenario, using only limited information available up to 5 minutes after birth, a NN approach had a small but significant advantage over current approaches. The software implementing the predictor is made freely available to the community.