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Problem: Neonatal abstinence syndrome (NAS) affecting neonates with fetal exposure to opioids, is defined by expression and severity of symptoms. The pathophysiology behind symptoms variability is lacking. The study aims were to examine (a) differences in gut microbiota of neonates with and without NAS, (b) the relationships between gut microbiota and symptom expression and NAS severity, and (c) the changes in the neonate gut microbiota diversity during the course of NAS treatment. Methods: A cross-sectional observational design was used to examine differences in microbiota and a longitudinal, repeated measures approach was used to determine relationships between gut microbiota and NAS symptoms. Symptom data were collected using the Finnegan Neonatal Abstinence Scoring Tool and the Neonatal Pain Agitation and Sedation Scale. Stool samples were collected for microbiome analyses with 16S rRNA microbiome sequencing. Results: Differences in alpha and beta diversity between neonates with and without NAS were seen. Relative abundance results revealed 18 taxa were different in neonates with NAS compared to neonates without NAS. No differences were found in alpha or beta diversity in neonates with NAS between enrollment and hospital discharge. There was increased abundance of Escherichia-Shigella and Bacteriodes genera related to higher symptom scores. Discussion: Differences in alpha and beta diversity between neonates with and without NAS may be due to differences in birth mode and type of feeding. The findings of specific increased bacteria related to increased symptoms in the neonates with NAS may also be influenced by birth mode and type of feeding. [ABSTRACT FROM AUTHOR]

The original pediatric complex chronic conditions (CCC) classification system developed in 2000/2001 is the gold standard in classifying children with life-limiting illnesses. It was significantly modified in 2014; yet the two systems have not been evaluated. The objective of this study was to evaluate the agreement and validity of the original versus the modified CCC classification systems. Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID) data from 2012 was used with a sample of infant decedents less than 1 years. The agreement (i.e., Cohen's Kappa Statistic) and validity (i.e., sensitivity, specificity, and positive predictive value [PPV]) statistics were calculated. Among the 10,175 infants that were classified, the modified system performed well in identifying infants who had a CCC, and it captured infants that the original classification did not. The modified system represents an improvement over the original, but additional testing is warranted. [ABSTRACT FROM AUTHOR]

Background: One widely accepted approach to identify children with life-limiting health problems is the complex chronic conditions (CCCs) classification system. Although considered the "gold standard" for classifying children with serious illness, little is known about its performance, especially among infants. Objective/Hypothesis: This research examined the prevalence of CCCs and the infant characteristics related to a CCC classification. Methods: Multivariate regression analysis was conducted with 2012 Kids' Inpatient Database, Healthcare Cost and Utilization Project data files, using a national sample of infant decedents less than 1 year. Results: Our findings showed that 40% of the infants were classified with a CCC. African Americans were negatively associated with a CCC classification (adjusted odds ratio [aOR] = 0.63; 95% confidence interval [CI] = 0.543-0.731). When infants had other insurance coverage, they were less likely (aOR = 0.63; 95% CI = 0.537-0.748) to have a CCC classification. Infants who resided in nonurban areas (aOR = 1.21; 95% CI =1.034-1.415) and had comorbidities (aOR = 38.19; 95% CI = 33.12-44.04) had greater odds of having a CCC classification. Conclusions: The findings suggested that the infants are not commonly classified with a CCC and highlighted the significant variation in race with African American infants exhibiting different CCC classifications than Caucasian infants. Given the importance of reducing disparities in palliative care, critical attention to using CCC classifications in research is warranted. [ABSTRACT FROM AUTHOR]