Comparing CRIB-II and SNAPPE-II as mortality predictors for very preterm infants

Current Evidence: Seizures in Extremely Low Gestational Age Newborns (ELGANs)

Extremely low gestational age newborns (ELGANs) are born at or below 28 weeks of gestational age. Despite improved obstetric care, the incidence of preterm birth continues to rise in advanced countries. Preterm birth remains a major cause of infant mortality, and for infants who survive, neonatal seizures are a significant predictor of later neurologic morbidity. However, little is known about risk factors for neonatal seizures in ELGANs. Understanding the association between neonatal seizures and the development of other neurologic disorders is important given the increasing prevalence of ELGANs. Identifying risk factors that contribute to the development of neonatal seizures in ELGANs may offer insights into novel mechanisms of epileptogenesis in the developing brain and improvements in the prevention or treatment of seizures in preterm infants, including ELGANs. In this literature review, we outline the limitations of epidemiologic studies of neonatal seizures in ELGANs and discuss risk factors for neonatal seizures.

Mortality in the neonatal intensive care setting: Do benchmarks tell the whole story?

AIM

Australian neonatal mortality data are collected and shared within collaborative networks. Individual unit outcomes are benchmarked between units and presented in quarterly or yearly reports. Low mortality is commonly interpreted as optimal performance. However, current collected data do not differentiate between death due to severe illness and death following treatment limitation. This study aims to explore the physiological condition immediately before death, and the proportion of deaths attributed to treatment limitation.

METHODS

This retrospective single centre study of 100 consecutive deaths classified the physiological condition 12 h prior to death as stable or unstable using a clinical illness score based upon pH, oxygen saturation index, medications and blood product use. Documented discussions regarding expected outcomes and goals of management were reviewed for agreed upon treatment limitations and analysed against physiological stability.

RESULTS

Causes of death were sepsis (n = 24), congenital anomalies (n = 20), extreme prematurity (n = 19), hypoxic ischaemic encephalopathy (n = 18), intraventricular haemorrhage (n = 11) and other (n = 8). Forty-eight infants were physiologically stable at 12 h before death. In infants classified as physiologically stable, 90% of deaths were in a scenario where palliative care was discussed and intensive care treatment was ceased. These deaths accounted for 43% of total mortality in our unit.

CONCLUSION

A large portion of mortality in our unit could be attributed to treatment limitations in physiologically stable infants with high risk of neurodevelopmental impairment. Our study emphasises the need to consider the physiological status around time of death for optimal benchmarking of mortality between neonatal units.

Development and validation of a model to predict mortality risk among extremely preterm infants during the early postnatal period: a multicentre prospective cohort study

BACKGROUND

Recently, with the rapid development of the perinatal medical system and related life-saving techniques, both the short-term and long-term prognoses of extremely preterm infants (EPIs) have improved significantly. In rapidly industrialising countries like China, the survival rates of EPIs have notably increased due to the swift socioeconomic development. However, there is still a reasonably lower positive response towards the treatment of EPIs than we expected, and the current situation of withdrawing care is an urgent task for perinatal medical practitioners.

OBJECTIVE

To develop and validate a model that is practicable for EPIs as soon as possible after birth by regression analysis, to assess the risk of mortality and chance of survival.

METHODS

This multicentre prospective cohort study used datasets from the Sino-Northern Neonatal Network, including 46 neonatal intensive care units (NICUs). Risk factors including maternal and neonatal variables were collected within 1 hour post-childbirth. The training set consisted of data from 41 NICUs located within the Shandong Province of China, while the validation set included data from 5 NICUs outside Shandong Province. A total of 1363 neonates were included in the study.

RESULTS

Gestational age, birth weight, pH and lactic acid in blood gas analysis within the first hour of birth, moderate-to-severe hypothermia on admission and adequate antenatal corticosteroids were influencing factors for EPIs' mortality with important predictive ability. The area under the curve values for internal validation of our prediction model and Clinical Risk Index for Babies-II scores were 0.81 and 0.76, and for external validation, 0.80 and 0.51, respectively. Moreover, the Hosmer-Lemeshow test showed that our model has a constant degree of calibration.

CONCLUSIONS

There was good predictive accuracy for mortality of EPIs based on influencing factors prenatally and within 1 hour after delivery. Predicting the risk of mortality of EPIs as soon as possible after birth can effectively guide parents to be proactive in treating more EPIs with life-saving value.

TRIAL REGISTRATION NUMBER

ChiCTR1900025234.

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).

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.

Learning-Based Longitudinal Prediction Models for Mortality Risk in Very-Low-Birth-Weight Infants: A Nationwide Cohort Study

INTRODUCTION

Prediction models assessing the mortality of very-low-birth-weight (VLBW) infants were confined to models using only pre- and perinatal variables. We aimed to construct a prediction model comprising multifactorial clinical events with data obtainable at various time points.

METHODS

We included 15,790 (including 2,045 in-hospital deaths) VLBW infants born between 2013 and 2020 who were enrolled in the Korean Neonatal Network, a nationwide registry. In total, 53 prenatal and postnatal variables were sequentially added into the three discrete models stratified by hospital days: (1) within 24 h (TL-1d), (2) from day 2 to day 7 after birth (TL-7d), (3) from day 8 after birth to discharge from the neonatal intensive care unit (TL-dc). Each model predicted the mortality of VLBW infants within the affected period. Multilayer perception (MLP)-based network analysis was used for modeling, and ensemble analysis with traditional machine learning (ML) analysis was additionally applied. The performance of models was compared using the area under the receiver operating characteristic curve (AUROC) values. The Shapley method was applied to reveal the contribution of each variable.

RESULTS

Overall, the in-hospital mortality was 13.0% (1.2% in TL-1d, 4.1% in TL-7d, and 7.7% in TL-dc). Our MLP-based mortality prediction model combined with ML ensemble analysis had AUROC values of 0.932 (TL-1d), 0.973 (TL-7d), and 0.950 (TL-dc), respectively, outperforming traditional ML analysis in each timeline. Birth weight and gestational age were constant and significant risk factors, whereas the impact of the other variables varied.

CONCLUSION

The findings of the study suggest that our MLP-based models could be applied in predicting in-hospital mortality for high-risk VLBW infants. We highlight that mortality prediction should be customized according to the timing of occurrence.

The Association between Prolonged Antibiotic Use in Culture Negative Infants and Length of Hospital Stay and Total Hospital Costs

OBJECTIVE

 This study aimed to determine if prolonged antibiotic use at birth in neonates with a negative blood culture increases the total cost of hospital stay.

STUDY DESIGN

 This was a retrospective study performed at a 60-bed level IV neonatal intensive care unit. Neonates born <30 weeks of gestation or <1,500 g between 2016 and 2018 who received antibiotics were included. A multivariate linear regression analysis was conducted to determine if clinical factors contributed to increased hospital cost or length of stay.

RESULTS

 In total, 190 patients met inclusion criteria with 94 infants in the prolonged antibiotic group and 96 in the control group. Prolonged antibiotic use was associated with an increase length of hospital stay of approximately 31.87 days, resulting in a $69,946 increase in total cost of hospitalization.

CONCLUSION

 Prolonged antibiotics in neonates with negative blood culture were associated with significantly longer hospital length of stay and increased total cost of hospitalization.

KEY POINTS

· Prolonged antibiotic use at birth is associated with prolonged hospital stay.. · Prolonged antibiotic use at birth is associated with increased cost of hospitalization.. · Prolonged antibiotic use at birth is associated with increased days on total parenteral nutrition.. · Prolonged antibiotic use at birth is associated with increased subsequent courses of antibiotics..

Comparison of CRIB-II with SNAPPE-II for predicting survival and morbidities before hospital discharge in neonates with gestation ≤ 32 weeks: a prospective multicentric observational study

Various studies validated and compared Score for Neonatal Acute Physiology with Perinatal extension-II (SNAPPE-II) and Clinical Risk Index for Babies-II (CRIB-II) admission sickness severity scores for predicting survival, but very few studies compared them for predicting the morbidities in preterm infants. In this multicenter prospective observational study, SNAPPE-II and CRIB-II newborn illness severity scores were compared for predicting mortality and morbidities in infants with gestational age of ≤ 32 weeks. Major morbidities were classified as bronchopulmonary dysplasia, abnormal cranial ultrasound (presence of intraventricular hemorrhage grade III or more or periventricular leukomalacia grade II to IV), and retinopathy of prematurity requiring treatment. Combined adverse outcome was defined as death or any major morbidity. Comparison of the scoring systems was done by area under the curve (AUC) on receiver operating characteristics curve (ROC curve) analysis. A total of 419 neonates who were admitted to 5 participating NICUs were studied. The mortality rate in the study population was 8.8%. Both CRIB-II (AUC: 0.795) and SNAPPE-II (AUC: 0.78) had good predictive ability for in-hospital mortality. For predicting any one of the major morbidities and combined adverse outcome, CRIB-II had better predictive ability than SNAPPE-II with AUC of 0.83 vs. 0.70 and 0.85 vs. 0.74, respectively.

CONCLUSION

In infants with gestational age of ≤ 32 weeks, both CRIB-II and SNAPPE-II are good scoring systems for predicting mortality. CRIB-II, being a simpler scoring system and having better predictive ability for major morbidities and combined adverse outcome, is preferable over SNAPPE-II.

WHAT IS KNOWN

• SNAPPE-II and CRIB-II scores have good predictive ability on in-hospital mortality in preterm neonates.

WHAT IS NEW

• SNAPPE-II and CRIB-II both have good predictive ability for mortality, but CRIB-II has better ability for short-term morbidities related to the prematurity.

Comparison of different neonatal illness severity scores in predicting mortality risk of extremely low birth weight infants

To compare different illness severity scores in predicting mortality risk of extremely low birth weight infants (ELBWI). From January 1st, 2019 to January 1st, 2020, all ELBWI admitted in the Children's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital and the First Affiliated Hospital of Nanjing Medical University were included in the study. ELBWI with admission age ≥1 h, gestational age ≥37 weeks and incomplete data required for scoring were excluded. The clinical data were collected, neonatal critical illness score (NCIS), score for neonatal acute physiology version Ⅱ (SNAP-Ⅱ), simplified version of the score for neonatal acute physiology perinatal extension (SNAPPE-Ⅱ), clinical risk index for babies (CRIB) and CRIB-Ⅱ were calculated. The scores of the fatal group and the survival group were compared, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive value of the above illness severity scores for the mortality risk of ELBWI. Pearson correlation analysis was used to analyze the correlation between illness scores and birth weight, illness scores and gestational age. A total of 192 ELBWI were finally included, of whom 114 cases survived (survival group) and 78 cases died (fatal group). There were significant differences in birth weight, gestational age and Apgar scores between fatal group and survival group (all <0.01). There were significant differences in NCIS, SNAP-Ⅱ, SNAPPE-Ⅱ, CRIB and CRIB-Ⅱ between fatal group and survival group (all <0.01). The CRIB had a relatively higher predictive value for the mortality risk. Its area under the ROC curve (AUC) was 0.787, the sensitivity was 0.678, the specificity was 0.804, and the Youden index was 0.482. The scores of NCIS, SNAP-Ⅱ, SNAPPE-Ⅱ, CRIB and CRIB-Ⅱ were significantly correlated with birth weight and gestational age (all <0.05). The correlation coefficients of CRIB-Ⅱ and CRIB with birth weight and gestational age were relatively large, and the correlations coefficients of NCIS with birth weight and gestational age were the smallest (0.191 and 0.244, respectively). Among these five illness severity scores, CRIB has better predictive value for the mortality risk in ELBWI. NCIS, which is widely used in China, has relatively lower sensitivity and specificity, and needs to be further revised.

Prognostic Models Predicting Mortality in Preterm Infants: Systematic Review and Meta-analysis

CONTEXT

Prediction models can be a valuable tool in performing risk assessment of mortality in preterm infants.

OBJECTIVE

Summarizing prognostic models for predicting mortality in very preterm infants and assessing their quality.

DATA SOURCES

Medline was searched for all articles (up to June 2020).

STUDY SELECTION

All developed or externally validated prognostic models for mortality prediction in liveborn infants born <32 weeks' gestation and/or <1500 g birth weight were included.

DATA EXTRACTION

Data were extracted by 2 independent authors. Risk of bias (ROB) and applicability assessment was performed by 2 independent authors using Prediction model Risk of Bias Assessment Tool.

RESULTS

One hundred forty-two models from 35 studies reporting on model development and 112 models from 33 studies reporting on external validation were included. ROB assessment revealed high ROB in the majority of the models, most often because of inadequate (reporting of) analysis. Internal and external validation was lacking in 41% and 96% of these models. Meta-analyses revealed an average C-statistic of 0.88 (95% confidence interval [CI]: 0.83-0.91) for the Clinical Risk Index for Babies score, 0.87 (95% CI: 0.81-0.92) for the Clinical Risk Index for Babies II score, and 0.86 (95% CI: 0.78-0.92) for the Score for Neonatal Acute Physiology Perinatal Extension II score.

LIMITATIONS

Occasionally, an external validation study was included, but not the development study, because studies developed in the presurfactant era or general NICU population were excluded.

CONCLUSIONS

Instead of developing additional mortality prediction models for preterm infants, the emphasis should be shifted toward external validation and consecutive adaption of the existing prediction models.

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.

Respiratory Severity Score greater than or equal to 2 at birth is associated with an increased risk of mortality in infants with birth weights less than or equal to 1250 g

OBJECTIVE

Respiratory Severity Score (RSS), the product of mean airway pressure and the fraction of inspired oxygen may estimate the severity of neonatal lung disease. We aimed to determine if RSS on the first day of life is associated with mortality and/or comorbidities in infants born less than or equal to 1250 g.

METHODS

Data were extracted from the NYS Perinatal Data System for premature inborn infants from 2006 to 2016 born between 400 and 1250 g (N = 730). RSS was divided into three categories: less than 2 (low, n = 310), 2-5 (moderate, n = 265), greater than 5 (high, n = 155). The primary outcome was mortality. Logistic regression determined associations with composite outcomes of death or respiratory morbidity (respiratory support after 36 weeks postmenstrual age), death or neurologic morbidity (periventricular leukomalacia) or high-grade intraventricular hemorrhage), and death/severe morbidity (death or neurologic morbidity or respiratory morbidity or stage ≥ III retinopathy of prematurity or necrotizing enterocolitis) by RSS category.

RESULTS

Birthweight and gestational age were lower with the increasing RSS category (p < .001 for both). Mode of delivery, antenatal steroids, and maternal age did not differ by RSS. In adjusted analyses, there were increased odds of mortality in infants with moderate RSS (odds ratio [95% confidence intervals]: 3.1 (1.7-5.4) and high 4.5 (2.5-8.2). These groups had higher odds of death or respiratory morbidity, death or neurologic morbidity, and death/severe morbidity.

CONCLUSION

Higher RSS (≥2) is associated with an increased risk of mortality and morbidities in infants born less than or equal to 1250 g.

Can Phase Angle in Newborns at Neonatal Intensive Care Units Be an Indicator of Mortality and Prognosis?

BACKGROUND

The bioelectrical impedance (BI) phase angle (PA), analyzed directly through BI analysis (BIA), is determined by tissue cellularity, representing a direct measure of cellular stability and, for this reason, has been studied and considered as an indicator of prognosis and nutrition status in adults and children.

OBJECTIVE

We aimed to determine if PA can be an indicator of mortality and prognosis in newborns admitted to the neonatal intensive care unit (NICU).

METHODS

Transversal study conducted at a public NICU in Curitiba, Paraná, Brazil. All newborns, preterm and term, were considered eligible for the study if admission to the NICU occurred by the first hour of life. The Score for Neonatal Acute Physiology II, as well as the Perinatal Extension version, were developed to assess the risk of mortality for all newborns, measured within 12 hours of admission. BIA measurements were conducted using the tetrapolar BioScan Maltron 916, with single-frequency (50 kHz) tetrapolar BI. PA was calculated as the arc tangent: (Xc/R) x 180°/π.

RESULTS

BIA was measured during the first 24 hours of admission for all newborns (n = 93), repeated between 24 and 48 hours (n = 79) and again after 7 days (n = 55), always when possible. PA measurements decreased in the first 48 hours in premature newborns, particularly among those who died. The premature newborns also showed a significant decrease from the first to the last PA measurement (P = .001). In addition, whereas full-term newborns showed an increase of PA at 1 week of life, preterm infants continued to have a decrease in values. For preterm newborns, PA measurements decreased and more sharply so for those who died. This result should be viewed with caution given the small number of deaths, but it should be investigated to understand the role of PA in the prognosis of NICU newborns.

CONCLUSIONS

The absolute value of PA during the first 24 hours of life was not a good marker for severity or mortality. However, the decrease of PA between different moments of evaluation was a good marker of severity. The decrease of PA in the first 48 hours in premature newborns, and that when the decrease is more pronounced, may be indicative of mortality. The difference in PA values between these newborns is probably a significant variable for mortality and prognosis and not a cutoff value.

Impact of transport on arrival status and outcomes in newborns with heart disease: a low-middle-income country perspective

OBJECTIVES

We sought to systematically study determinants of "clinical status at arrival after transport" of neonates with CHD and its impact on clinical outcomes in a low- and middle-income country environment.

METHODS AND RESULTS

Consecutive neonates with CHD (n = 138) transported (median distance 138 km; 5-425 km) to a paediatric cardiac programme in Southern India were studied prospectively. Among 138 neonatal transports, 134 were in ambulances. Four neonates were transported by family in private vehicles; 60% with duct-dependent circulation (n = 57) were transported without prostaglandin E1. Clinical status at arrival after transport was assessed using California modification of TRIPS Score (Ca-TRIPS), evidence of end-organ injury and metabolic insult.Upon arrival, 42% had end-organ injury, 24% had metabolic insult and 36% had Ca-TRIPS Score >25. Prior to surgery or catheter intervention, prolonged ICU stay (>48 hours), prolonged ventilation (>48 hours), blood stream sepsis, and death occurred in 48, 15, 19, and 3.6%, respectively. Ca-TRIPS Score >25 was significantly associated with mortality (p = 0.005), sepsis (p = 0.035), and prolonged ventilation (p < 0.001); end-organ injury with prolonged ICU stay (p = 0.031) and ventilation (p = 0.045); metabolic insult with mortality (p = 0.012) and sepsis (p = 0.015).Fifteen babies needed only medical management, 10 received comfort care (due to severe end-organ injury in 3), 107 underwent cardiac surgery (n = 83) or catheter intervention (n = 24), with a mortality of 6.5%. Clinical status at arrival after transport did not impact post-procedure outcomes.

CONCLUSION

Neonates with CHD often arrive in suboptimal status after transport in low- and middle-income countries resulting in adverse clinical outcomes. Robust transport systems need to be integrated in plans to develop newborn heart surgery in low- and middle-income countries.

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.

Effectiveness of Sucrose Used Routinely for Pain Relief and Neonatal Clinical Risk in Preterm Infants: A Nonrandomized Study

BACKGROUND

Preterm infants (PI) requiring the neonatal intensive care unit are exposed to early repetitive pain/distress. Little is known about how pain relief strategies interact with infants' clinical health status, such as severity of illness with pain responses. This study aimed to examine main and interactive effects of routine sucrose intervention and neonatal clinical risk (NCR) on biobehavioral pain reactivity-recovery in PI during painful blood collection procedures.

METHODS

Very low birth weight PI (<1500 g; n=104) were assigned to low and high clinical risk groups, according to the Clinical Risk Index for Babies. Sucrose group (n=52) received sucrose solution (25%; 0.5 mL/kg) 2 minutes before the procedures and control group received standard care. Biobehavioral pain reactivity-recovery was assessed according to the Neonatal Facial Coding System, sleep-wake state scale, crying time, and heart rate at 5 phases (baseline, antisepsis, puncture (P), recovery-dressing, and recovery-resting [R]). Repeated measure ANOVA with mixed-design was performed considering pain assessment phases, intervention group, and NCR.

RESULTS

Independent of NCR, sucrose presented main effect in decreasing neonates' facial activity pain responses and crying time, during P and R. Independent of NCR level or routine sucrose intervention, all neonates displayed activated state in P and decreased biobehavioral responses in R phase. Although no sucrose or NCR effects were observed on physiological reactivity, all neonates exhibited physiological recovery 10 minutes after P, reaching the same heart rate patterns as the baseline.

CONCLUSIONS

Independent of NCR level, sucrose intervention for pain relief during acute painful procedures was effective to reduce pain intensity and increase biobehavioral regulation.

Antenatal Magnesium Sulfate Exposure and Hemodynamically Significant Patent Ductus Arteriosus in Premature Infants

Objective  The use of antenatal magnesium sulfate (MgSO ₄ ) has been associated with neuroprotective effects. One of its' proposed mechanisms of action includes antagonism of calcium channels. Calcium influx is important for closure of ductus arteriosus. We hypothesized that antenatal MgSO ₄ exposure may be associated with an increased risk of hemodynamically significant patent ductus arteriosus (HsPDA) in premature infants (PI). Study Design  A prospective cohort study conducted in two parts. PI (< 32 weeks and < 1,500 g) were recruited ( n  = 105). All infants had Echocardiograph (ECHO; within 3 days) and blood samples drawn at the same time for B-type natriuretic peptide (BNP; part 1) and NTproBNP (N-terminal pro BNP; part 2) measurements. HsPDA was defined as a PDA diameter > 1.5 mm and BNP levels > 40 pg/mL or NTproBNP > 10,200 pg/mL. Infants were divided into two groups based on antenatal MgSO ₄ exposure. Data were analyzed using SPSS 23. Difference in baseline characteristics and antenatal steroid use in the two groups was analyzed. A matched group analysis was performed to adjust for the difference in the numbers between the two groups. A p -value < 0.05 was considered significant. Results  There was no significant difference seen in baseline characteristics or use of antenatal steroids in exposed versus unexposed ( n  = 95 vs. n  = 10). There was a significant negative correlation between antenatal MgSO ₄ exposure and HsPDA in PI ( p ≤ 0.05). However, this association was not significant after matched group analysis. Conclusion  Antenatal MgSO ₄ exposure is not associated with an increased risk of HsPDA. It may be associated with a decreased likelihood of HsPDA.

Adrenal function of extremely premature infants in the first 5 days after birth

Background There is limited data on adrenal function in the early days after birth in extremely premature infants. The relationship between plasma adrenocorticotrophic (ACTH) and cortisol hormone is central to the integrity of the hypothalamic-pituitary-adrenal (HPA) axis yet there are no studies examining this relationship in prematurity. Methods The aim of this study was to examine the relationship between early morning plasma cortisol and ACTH concentrations during the first 5 days after birth in infants born at less than 28 weeks' gestation and to identify any independent factors that determine plasma cortisol levels in these infants during extreme prematurity. We prospectively studied early morning plasma ACTH and cortisol concentrations in infants born below 28 weeks' gestation during the first 5 days of birth. Plasma cortisol was measured without extraction, using DPC Immulite® 2000 using a solid phase 2 site chemiluminescent immunometric assay. ACTH was measured using a radioimmunoassay. Spearman's correlation was used to examine the relationship between cortisol and ACTH. Multiple regression analysis was used to examine the relationship between plasma cortisol and clinical risk index for babies (CRIB) score, antenatal dexamethasone, mode of delivery and gestation. Results There were 95 infants (53 males) of mean gestation 25.3 ± 1.3 standard deviation (SD) (range 23-27 + 6) weeks. The mean birth weight was 809 ± 17.0 g. The mean plasma cortisol was 400.5 ± 42.6 nmol/L and the mean plasma ACTH was 4.5 ± 0.9 pmol/L. Early morning plasma cortisol correlated significantly with gestation (R = 0.4, p = 0.005). Early morning plasma ACTH did not correlate with early morning plasma cortisol (R = -0.12, p = 0.7). Multiple regression analysis showed that gestation was the only independent determinant of early morning plasma cortisol concentration (beta coefficient = -0.4, p = 0.04). Conclusions The relationship between early morning plasma ACTH and plasma cortisol is either not established or is impaired in infants of less than 28 weeks' gestation in the first 5 days after birth. The plasma cortisol level is mainly determined by gestation and is not directly related to illness severity, antenatal steroids or plasma ACTH in these infants in the first 5 days after birth.

The Clinical Risk Index for Babies II for Prediction of Time-Dependent Mortality and Short-Term Morbidities in Very Low Birth Weight Infants

BACKGROUND

A simple predictive indicator of mortality and morbidities is essential to assess neonatal illness severity and plan proper management.

OBJECTIVE

This study aimed to test the time-dependent performance of the Clinical Risk Index for Babies (CRIB) II in predicting mortality and major short-term morbidities among very low birth weight infants (VLBWIs).

METHODS

This population-based prospective study from 67 Korean Neonatal Network centers performed between 2013 and 2016 included 5,296 VLBWIs with CRIB II calculation and 6,398 infants with CRIB II calculation but without the base excess (CRIB II-BE). A regression model predicting time-dependent mortality and morbidities using the CRIB II score was designed. The discriminate ability of the CRIB II and CRIB II-BE scores in predicting mortality and morbidities was explored using receiver-operating characteristic analysis.

RESULTS

CRIB II performed significantly better in predicting mortality than did gestational age or birth weight alone. The time-dependent performance of CRIB II was good in the first 30 days (area under the curve [AUC], 0.8435) and at 31-90 days (AUC, 0.8458). However, it was poor after 90 days (AUC, 0.6576). Specific CRIB II cutoffs were associated with severe intraventricular hemorrhage (AUC, 0.81), bronchopulmonary dysplasia (AUC, 0.77), and mortality or major morbidities (AUC, 0.80), respectively. The model using CRIB II-BE showed similar performance in predicting mortality and morbidities to that of the CRIB II model.

CONCLUSION

Certain CRIB II cutoffs were significantly associated with time-dependent mortality, particularly within the first 90 days after birth as well as with short-term morbidities.

Development of salivary cortisol circadian rhythm in preterm infants

OBJECTIVES

To investigate at what age preterm infants develop a salivary cortisol circadian rhythm and identify whether it is dependent on gestational age and/or postnatal age. To evaluate whether salivary cortisol circadian rhythm development is related to behavioral regularity. To elucidate salivary cortisol levels in preterm infants during the first year of life.

METHODS

This prospective, longitudinal study included 51 preterm infants. 130 healthy full-term infants served as controls. Monthly salivary cortisol levels were obtained in the morning (07:30-09:30), at noon (10:00-12:00), and in the evening (19:30-21:30), beginning at gestational age week 28-32 and continuing until twelve months corrected age. Behavioral regularity was studied using the Baby Behavior Questionnaire.

RESULTS

A salivary cortisol circadian rhythm was established by one month corrected age and persisted throughout the first year. The preterm infants showed a cortisol pattern increasingly more alike the full-term infants as the first year progressed. The preterm infants increase in behavioral regularity with age but no correlation was found between the development of salivary cortisol circadian rhythm and the development of behavior regularity. The time to establish salivary cortisol circadian rhythm differed between preterm and full-term infants according to postnatal age (p = 0.001) and was dependent on gestational age. Monthly salivary cortisol levels for preterm infants from birth until twelve months are presented. Additional findings were that topical corticosteroid medication was associated with higher concentrations of salivary cortisol (p = 0.02) and establishment of salivary cortisol circadian rhythm occurred later in infants treated with topical corticosteroid medication (p = 0.02).

CONCLUSIONS

Salivary cortisol circadian rhythm is established by one month corrected age in preterm infants. Establishment of salivary cortisol circadian rhythm is related to gestational age rather than to postnatal age. Salivary cortisol circadian rhythm development is not related to behavioral regularity.

Predicting deaths in a resource-limited neonatal intensive care unit in Nepal

Background

This study aimed to determine whether the Neonatal Acute Physiology (SNAP) scoring system (SNAP II) and with perinatal extension (SNAP II PE) can be used to predict neonatal deaths in a resource-limited neonatal intensive care unit in Nepal.

Methods

A prospective observational study was conducted in a neonatal intensive care unit (NICU) of Kanti Children's Hospital in Kathmandu, Nepal. Data required for the SNAP II and SNAP II PE scores were collected. The relationships between the SNAP II and SNAP II PE scores and neonatal mortality were analyzed.

Results

There were 135 neonates admitted during the 6 month study period, of whom 126 met the inclusion criteria. Of these 126 neonates, 29 (23.0%) died. Mortality was 83% (5/6) when SNAP II was >40, and 66.7% (6/9) when SNAP II PE was >50. A SNAP II score of ≥12 had a sensitivity of 75.9%, and specificity of 73.2% for predicting mortality, and a SNAP II PE score of ≥14 had a sensitivity of 82.8% and specificity of 67.0% for it.

Conclusions

SNAP II and SNAP II PE scoring of neonates can be used to predict prognosis of neonates in resource-limited NICUs in Nepal.

Evaluation of Score for Neonatal Acute Physiology and Perinatal Extension II and Clinical Risk Index for Babies with additional parameters

BACKGROUND

The aim of this study was to determine mortality risk by calculating Score for Neonatal Acute Physiology and Perinatal Extension II (SNAP-PE-II) and Clinical Risk Index for Babies (CRIB) score, and evaluate prediction of the effects of antenatal corticosteroid and surfactant treatment on mortality.

METHODS

This multicenter study was conducted simultaneously in five different centers in four different provinces in Southern Turkey between July 2012 and July 2013. A total of 1668 inborn subjects hospitalized in the neonatal intensive care unit within the first 12 h of delivery, and meeting the selection criteria, were included in the study, and CRIB and SNAP-PE-II were used to determine mortality.

RESULTS

The SNAP-PE-II scoring system was applied to all patients, and the CRIB scoring system was used for 310 newborns with gestational age <32 weeks and weighing <1500 g. Of the 1668 patients, 188 died (mortality rate, 11.3%). Cut-off was found to vary with center, which changed specificity and sensitivity of the mortality scores. SNAP-PE-II significantly predicted mortality (P < 0.05) compared with CRIB. SNAP-PE-II also successfully predicted mortality in the group receiving antenatal corticosteroid compared with the group not receiving antenatal corticosteroid.

CONCLUSION

SNAP-PE-II was a significant predictor of mortality in newborns with birthweight <1500 g compared with CRIB, and assessment of antenatal corticosteroid use in conjunction with SNAP-PE-II increased the accuracy of the prediction of mortality.