Disparity in neonatal abstinence syndrome by race/ethnicity, socioeconomic status, and geography, in neonates ≥ 35 weeks gestational age.

Neonatal abstinence syndrome (NAS) is associated with a range of adverse health outcomes, exorbitant health care costs, and race/ethnicity disparity. We examined key sociodemographic factors that may influence the national race/ethnicity disparity in the prevalence of NAS among Whites, Blacks and Hispanics. 2016 and 2019 cycles of cross-sectional data from HCUP-KID national all-payer pediatric inpatient-care database were used to estimate NAS prevalence (ICD-10CM code P96.1) in newborns ≥ 35 weeks gestational-age, excluding iatrogenic-cases (ICD-10CM code P96.2). Multivariable generalized-linear-models with predictive-margins were used to produce race/ethnicity-specific stratified-estimates for select sociodemographic factors, reported as risk-differences (RD) with 95% confidence-intervals (CI). Final models were adjusted for sex, payer-type, ecologic income-level, and hospital size, type, and region. The overall survey weighted-sample prevalence of NAS was 0.98% (i.e., 6282/638100) and did not differ over cycles. Blacks and Hispanics were significantly more likely than Whites to be in the lowest ecologic income quartile and on Medicaid. In fully-specified models, NAS prevalence among Whites was 1.45% (95% CI: 1.33, 1.57) higher than Blacks and 1.52% (95% CI: 1.39, 1.64) higher than Hispanics; and NAS among Blacks was 0.14% higher than Hispanics (95% CI: 0.03, 0.24). NAS prevalence was highest among Whites on Medicaid (RD: 3.79%; 95% CI: 3.55, 4.03) compared to Whites on private-insurance (RD: 0.33%; 95% CI: 0.27, 0.38), and Blacks (RD: 0.73%; 95% CI: 0.63, 0.83; RD: 0.15%; 95% CI: 0.08, 0.21), or Hispanics, with either payer-type (RD: 0.59%; 95% CI: 0.5, 0.67; RD: 0.09%; 95% CI: 0.03, 0.15) respectively. NAS prevalence was higher among Whites in the lowest income-quartile (RD: 2.22%; 95% CI: 1.99, 2.44) compared with Blacks (RD: 0.51%; 95% CI: 0.41, 0.61) and Hispanics (RD: 0.44%; 95% CI: 0.33, 0.54) in the same quartile, and all subgroups in other quartiles. NAS prevalence was higher among Whites in the Northeast (RD: 2.19%; 95% CI: 1.89, 2.5) compared to Blacks (RD: 0.54%; 95% CI: 0.33, 0.74) and Hispanics (RD: 0.31%; 95% CI: 0.17, 0.45). Although Blacks and Hispanics were more likely to be in the lowest income quartile and have Medicaid insurance, Whites on Medicaid, in the lowest income quartile, and in the Northeast, were found to have the highest NAS prevalence.

An assessment of prevalence and expenditure associated with discharge brain MRI in preterm infants.

To assess national expenditure associated with preterm-infant brain MRI and potential impact of reduction per Choosing Wisely campaign 2015 recommendation to "avoid routine screening term-equivalent or discharge brain MRIs in preterm-infants". Cross-sectional U.S. trend data from the Agency for Healthcare Research and Quality (AHRQ), Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID) database (2006, 2009, 2012, 2016) was used to estimate overall national expenditure associated with brain MRI among infants with gestational age (GA) ≤36 weeks, and also when classified as 'not indicated' (NI-MRI) i.e., equivalent to routine use without clinical indications and regarded as low-value service (LVS). Associated cost was determined by querying CMS-database for physician-fee-schedules to find the highest global procedure-cost per cycle, then adjusting for inflation. Sensitivity-analyses were conducted to account for additional clinical charges associated with NI-MRI. 3,768 (0.26%) of 1,472,236 preterm-infants had brain MRI across all cycles (inflation-adjusted total $3,690,088). Overall proportion of brain MRIs increased across 2006-2012 from 0.25%-0.33% but decreased in 2016 to 0.16% (P<0.001). Inflation-adjusted overall expenditure by cycle was: 2006, $1,299,130 (95% CI: $987,505, $1,610,755); 2009, $1,194,208 (95% CI: $873,487, $1,516,154); 2012, $931,836 (95% CI: $666,114, $1,197,156); and 2016, $264,648 (95% CI: $172,061, $357,280). Prevalence for NI-MRI in 2006, 2009, 2012 and 2016 was 86% (n = 809), 88% (n = 940), 89% (n = 1028) and 50% (n = 299), respectively; and 70% were in infants 35-36 weeks GA. NI-MRI prevalence was not different over time by payer-type (Medicaid, private), sex or race/ethnicity (white, black, Hispanic); larger hospital size was significantly associated across 2006-2012 but this declined for all sizes in 2016, with most decline in larger hospitals (P for interaction <0.05). NI-MRI expenditure sensitivity-analysis with addition of cycle median total-admission-charge to inflation-adjusted CMS-fee was $1,190,919/$518,343, for 2012/2016 cycles respectively. National MRI prevalence in preterm infants (both overall and LVS) and associated expenditure decreased substantially post recommendation; however, annual savings are modest and unlikely to be >$1.2 million.

Associations of two-pore domain potassium channels and triple negative breast cancer subtype in The Cancer Genome Atlas: systematic evaluation of gene expression and methylation.

OBJECTIVES: It is unclear whether 2-pore domain potassium channels are novel molecular markers with differential expression related to biologically aggressive triple-negative type breast tumors. Our objective was to systematically evaluate associations of 2-pore domain potassium channel gene expression and DNA methylation with triple-negative subtype in The Cancer Genome Atlas invasive breast cancer dataset. Methylation and expression data for all fifteen 2-pore domain potassium family genes were examined for 1040 women, and associations with triple-negative subtype (vs. luminal A) were evaluated using age/race adjusted generalized-linear models, with Bonferroni-corrected significance thresholds. Subtype associated CpG loci were evaluated for functionality related to expression using Spearman's correlation. RESULTS: Overexpression of KCNK5, KCNK9 and KCNK12, and underexpression of KCNK6 and KCNK15, were significantly associated with triple-negative subtype (Bonferroni-corrected p < 0.0033). A total of 195 (114 hypomethylated and 81 hypermethylated) CpG loci were found to be significantly associated with triple-negative subtype (Bonferroni-corrected p < 8.22 × 10-8). Significantly negatively correlated expression patterns that were differentially observed in triple-negative vs. luminal A subtype were demonstrated for: KCNK2 (gene body: cg04923840, cg13916421), KCNK5 (gene body: cg05255811, cg18705155, cg09130674, cg21388745, cg00859574) and KCNK9 (TSS1500: cg21415530, cg12175729; KCNK9/TRAPPC9 intergenic region: cg17336929, cg25900813, cg03919980). CpG loci listed for KCNK5 and KCNK9 all showed relative hypomethylation for probability of triple-negative vs. luminal A subtype. Triple-negative subtype was associated with distinct 2-pore domain potassium channel expression patterns. Both KCNK5 and KCNK9 overexpression appeared to be functionally related to CpG loci hypomethylation.

Clinical Outcomes Associated with a Failed Infant Car Seat Challenge.

OBJECTIVE: To assess comorbid conditions and clinical outcomes among late preterm and low birth weight term infants (<2.5 kg) who failed the Infant Car Seat Challenge (ICSC) on the Mother-Baby Unit. STUDY DESIGN: This was a retrospective chart review of consecutive infants who failed ICSC on the Mother-Baby Unit and were subsequently admitted to the neonatal intensive care unit at Prentice Women's Hospital between January 1, 2009, and December 31, 2015. Regression models were used to estimate risk differences (RDs) with 95% CIs for factors related to length of stay. RESULTS: A total of 148 infants were studied (43% male; 37% delivered via cesarean). ICSC failure in the Mother-Baby Unit was due to desaturation, bradycardia, and tachypnea in 59%, 37%, and 4% of infants, respectively. During monitoring on the neonatal intensive care unit, 39% of infants experienced apnea (48% in preterm vs 17% in term infants) in the supine position, 19% received phototherapy, and 2% and 6.8% received nasogastric and thermoregulatory support, respectively. Univariate predictors of increased duration of stay (days) were younger gestational age, apnea, nasogastric support, intravenous fluids, and antibiotics (all P < .05). In multivariable analysis adjusted for gestational age and discharge weight, only apnea (RD, 4.87; 95% CI, 2.99-6.74; P < .001), administration of antibiotics (RD, 3.25; 95% CI, 0.29-6.21; P < .032), and intravenous fluid support (RD, 4.87; 95% CI, 0.076-9.66; P < .047) remained independent predictors of a longer duration of stay. CONCLUSION: Infants who failed ICSC were at risk for comorbid conditions that prolonged hospital stay beyond the neonatal intensive care unit observation period. Almost one-half of late preterm infants who failed ICSC had apnea events in the supine position.

Using Genetic Technologies To Reduce, Rather Than Widen, Health Disparities.

Evidence shows that both biological and nonbiological factors contribute to health disparities. Genetics, in particular, plays a part in how common diseases manifest themselves. Today, unprecedented advances in genetically based diagnoses and treatments provide opportunities for personalized medicine. However, disadvantaged groups may lack access to these advances, and treatments based on research on non-Hispanic whites might not be generalizable to members of minority groups. Unless genetic technologies become universally accessible, existing disparities could be widened. Addressing this issue will require integrated strategies, including expanding genetic research, improving genetic literacy, and enhancing access to genetic technologies among minority populations in a way that avoids harms such as stigmatization.

Race/ethnicity and disparities in mastectomy practice in the Breast Cancer Care in Chicago study.

PURPOSE: To examine racial/ethnic disparities in mastectomy practice and explore mediating factors to explain the disparity. METHODS: Participants included 989 females aged 30-79 years, from a population-based study of newly diagnosed (primary in situ/invasive) breast cancer patients, in Chicago, Illinois, from 2005 to 2008, who completed an interview. Medical records were also abstracted for tumor, diagnostic, and treatment information. Multivariable logistic regression models with model-based standardization were used to estimate risk differences. Differences in rescaled coefficients were used to estimate the proportion of the disparity that could be mediated by patient and tumor characteristics. RESULTS: Mastectomy prevalence overall was 40 %. Factors significantly associated with increased rates of mastectomy (p < 0.05) included the following: non-Hispanic (nH) black and Hispanic race/ethnicity; younger age at diagnosis; lower socioeconomic status (SES); lack of recency of and adherence to screening mammography; and higher tumor pathologic stage and grade. In adjusted models (age, body mass index, comorbidity), compared to nH white patients, mastectomy was increased by 10 % points in both nH black (95 % confidence interval [CI] 0.03, 0.18; p = 0.007) and Hispanic (95 % CI 0.01, 0.19; p = 0.028) patients. After accounting for the proportion of disparity mediated by tumor stage, the disparity was reduced by about a third in nH black (risk difference = 0.07, 95 % CI -0.01, 0.14) and half in Hispanic patients (risk difference = 0.04, 95 % CI -0.05, 0.13). Additional control for mediation by SES and other tumor-related factors almost completely eliminated the nH black:nH white disparity. CONCLUSIONS: The best approach to reducing the racial/ethnic disparity in mastectomy rates would be to intervene on factors that could affect stage at diagnosis.

Race and the prognostic influence of p53 in women with breast cancer.

BACKGROUND: Prior study suggests that p53 status behaves as an independent marker of prognosis in African American (AA) women with breast cancer. We investigate whether the influence of p53 is unique to AAs or is present in other race/ethnic groups, and how this compares with known prognostic factors. METHODS: Cox regression models [hazard ratios (HRs), 95% confidence intervals (CIs)] were used to select and evaluate factors prognostic for all-cause mortality in 331 AA and 203 non-AA consecutively treated women. RESULTS: Statistically significant baseline prognostic factors were as follows. For AAs: stage [(III/I) HR 5.57; 95% CI 3.08-10.09], grade [(higher/low) HR 1.55; 95% CI 1.14-2.11], estrogen receptor (ER)/progesterone receptor (PR) status [(-/+) HR 2.01; 95% CI 1.38-2.93], triple negative (ER-, PR-, HER2-) subtype [(+/-) HR 1.95; 95% CI 1.33-2.85], and p53 status [(+/-) HR 1.69; 95% CI 1.10-2.58]. For non-AAs: stage [HR 11.93; 95% CI 2.80-50.84], grade [HR 1.61; 95% CI 0.96-2.71], and ER/PR status [HR 2.13; 95% CI 1.19-3.81]. There was a differential effect of race within p53 groups (P=0.05) and in multivariate modeling p53-positive status remained an adverse prognostic factor in AAs only [HR 1.82; 95% CI 1.04-3.17]. Compared to non-AAs, 5-year unadjusted survival was worse for AAs overall (73.4% vs. 63.6%; P=0.032), and also for AAs with p53-positive status (80.3% vs. 54.2%; P=0.016), but not for AAs with p53-negative disease (68.4% vs. 67.9%; P=0.81). CONCLUSIONS: Among women with breast cancer of different race/ethnicity, an adverse prognostic effect as a result of p53 positivity was only observed in AA women.

p53 as a marker of prognosis in African-American women with breast cancer.

BACKGROUND: p53 overexpression has been identified as a poor prognostic marker in breast cancer. We investigate the value of p53 status within the context of stage and intrinsic subtype classification (subtype), in a group of African-American (AA) women of lower socioeconomic status (SES) with primary breast cancer. METHODS: Participants were 331 consecutive AA women treated at an urban hospital (median follow-up 41 months) with known subtype [luminal A = estrogen receptor (ER)+ and/or progesterone receptor (PR)+, human epidermal growth factor receptor 2 (HER2)-; luminal B = ER+ and/or PR+, HER2+; HER2+ = ER-, PR-, HER2+; basal = ER-, PR-, HER2-, cytokeratin (CK)5/6+, and/or HER1+; and unclassified = negative for all five markers] and p53 (Pab1801 antibody) immunohistochemical status. Proportional hazards regression models were used to select and evaluate factors prognostic for all-cause mortality. RESULTS: p53+ status was associated with grade 3 tumors, ER/PR- status, and basal subtype. On univariate analysis, factors related to survival were stage, grade [(3/1) hazard ratio (HR) = 2.64; 95% confidence interval (CI), 1.15-6.07], subtype [(ex. basal/luminal A) HR = 2.15; 95% CI, 1.34-3.45], and p53 status [(+/-) HR = 1.77; 95% CI, 1.15-2.72]. Multivariable modeling indicated that p53+ status remained a negative prognostic factor (HR = 1.63; 95% CI, 1.01-2.59) after adjustment for effects of age, stage, grade, and subtype; 5-year adjusted survival was significantly greater for p53- (66.7%) than p53+ cases (54.7%). CONCLUSION: p53 status is an independent predictor of survival after consideration of other strong prognostic factors such as stage, tumor grade, and subtype, and thus may be useful in identifying AA women at high risk of breast cancer mortality.