Caucasian and African American racial disparity in neonatal hospital mortality.

Objective: To examine disparity in hospital mortality among Caucasian (C) and African American (AA) neonates born at different gestational ages (GA). Methods: De-identified national inpatient data were obtained from the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ) for the years 2011-2018. We compared the odds ratio for mortality among C and AA infants by sex and GA category. Analyses were repeated after controlling for multiple maternal and neonatal confounding variables in a logistic regression model. Results: The study included 18,758,233 infants; 78.3% of them were C and 21.7% were AA. Compared to C population, AA population has a significantly higher mortality in term infants born at GA ≥ 36 weeks. The racial/ethnic disparity in preterm infants was inconsistent without any difference at 35-36 weeks in male and female infants. The overall aOR for mortality in AA in all male preterm infants ≤36 weeks was 1.44 (1.39-1.49), <0.01; and the overall aOR for mortality in AA in all preterm female infants ≤36 weeks was 1.38 (1.33-1.44). Conclusion: Racial/Ethnic disparity in hospital mortality exists with higher AA mortality in infants born with GA > 36 weeks and less AA mortality in infants born with GA 24-26 weeks.

Hospital Factors Associated with the Survival of Infants Born at Periviable Gestation: The USA National Database.

Background: Reports on the survival of infants born at periviable gestation (GA of ≤24 weeks and birth weight of <500 gm) vary significantly. We aimed to determine hospital factors associated with their survival and to assess the trend for the timing of postnatal mortality in these periviable infants. Methods: We utilized the de-identified National Inpatient Sample (NIS) dataset of the Healthcare Cost and Utilization Project (HCUP) from the Agency for Healthcare Research and Quality (AHRQ). National data were analyzed for the years 2010-2018. Hospitals were categorized according to delivery volume, USA regions, and teaching status. Results: We identified 33,998,014 infants born during the study period; 76,231 infants were ≤24 weeks. Survival at birth and first 2 days of life was greatest in urban teaching hospitals in infants <24 weeks and those who completed 24 weeks, respectively. The Northeast region has the lowest survival rate. There was a significant delay in the postnatal day of mortality in periviable infants. Conclusions: Hospital factors are associated with increased survival rates. Improved survival in large teaching hospitals supports the need for the regionalization of care in infants born at the limits of viability. There was a significant delay in the postnatal mortality day.

Acute kidney injury in infants with hypoxic-ischemic encephalopathy.

BACKGROUND: This study aimed to investigate the prevalence of acute kidney injury (AKI) in infants with varying degrees of hypoxic-ischemic encephalopathy (HIE) and its associated outcomes, including mortality and length of stay (LOS). METHODS: The study used the National Inpatient Sample (NIS) dataset from 2010 to 2018. Regression analysis was used to control confounding variables. RESULTS: Of 31,220,784 infants included in the study, 30,130 (0.1%) had HIE. The prevalence of AKI was significantly higher in infants with HIE (9.0%) compared to those without (0.04%), with an adjusted odds ratio (aOR) of 77.6 (CI:70.1-85.7, p < 0.001), with the highest prevalence of AKI in infants with severe HIE (19.7%), aOR:130 (CI: 107-159), p < 0.001). Infants with AKI had a higher mortality rate compared to those without AKI in those diagnosed with any degree of HIE (28.9% vs. 8.8%), aOR 3.5 (CI: 3.2-3.9, p < 0.001), particularly among those with severe HIE, aOR:1.4 (1.2-1.6, p < 0.001). CONCLUSIONS: HIE is associated with an increased prevalence of AKI. Infants with severe HIE had the highest prevalence of AKI and associated mortality. The study highlights the need for close monitoring and early detection of AKI in infants with HIE, particularly those with severe HIE, to ameliorate the associated adverse outcomes.

A robust classification of acute lymphocytic leukemia-based microscopic images with supervised Hilbert-Huang transform.

Acute lymphocytic leukemia (ALL) is a malignant condition characterized by the development of blast cells in the bone marrow and their quick dissemination into the bloodstream. It primarily affects children and individuals over the age of 60. Manual blood testing, which has been around for a long time, may be slow. The likelihood of recognizing ALL in its early stages was increased by automating the diagnosis. This research developed an improved criterion for classifying ALL microscopic images into two categories: normal images and blast images. First, to save processing time, innovative image preprocessing techniques were employed to gather data for data augmentation, enhancement, and conversion. The K-means clustering technique was also utilized to effectively segment the relevant nuclei from the background. Furthermore, the most salient features were extracted using an empirical mode decomposition (EMD) based on the Hilbert-Huang transform. MATLAB functions such as principal component analysis, gray level co-occurrence matrix, local binary pattern, shape features, discrete cosine transform, discrete Fourier transform, discrete wavelet transform, and independent component analysis have been used and compared with EMD. The Bayesian regularization (BR) method has been implemented in the neural networks (NNs) classifier. Along with NNs, other classifiers such as support vector machine, K-nearest neighbors, random forest, naive Bayes, logistic regression, and decision tree have been used, evaluated, and contrasted with NNs. According to experimental findings, the ALL-IDB2 (Image Database 2) dataset's NNs-based-EMD model classified objects with an accuracy of 98.7%, sensitivity of 99.3%, and specificity of 98.1%. RESEARCH HIGHLIGHTS: Implement a robust method for classifying normal and blast ALL images in the state of the art using the combination of the BR algorithm and the neural networks classifier. Perform robust data processing via data augmentation and conversion from RGB (Red, Green, and Blue) image LAB (Luminosity, A: color space, B: color space) image. Extract the nuclei correctly from the background image using k-means clustering. Extract the most salient features from the segmented images using EMD in the state of the art of HHT.

Chorioamnionitis, Cesarean Deliveries, and Racial Disparities in the USA.

BACKGROUND: Studies showed disparities in management and outcomes of African American when compared to Caucasian population. The presence of chorioamnionitis may affect the decision to have a cesarean delivery (CD); however, it is not known if such a decision is affected by the mothers' race/ethnicity. OBJECTIVE: To assess the interaction between African American race/ethnicity and CD in women with chorioamnionitis. METHODS: Utilizing the National Inpatient Sample dataset, we examined the association of CD with chorioamnionitis in the overall population and within Caucasian and African American. Logistic regression models were used to control for confounders. RESULTS: The study included 6,648,883 women who delivered 6,925,920 infants. The prevalence of chorioamnionitis was 0.78 and 1.1 in Caucasian and African American, respectively. CD with and without chorioamnionitis was 41.2% and 32.4%, respectively (aOR 1.46 (1.43-1.49), p < 0.001), in Caucasian population and 45.0% and 36.6% in African American population aOR 1.42 (1.37-1.47), p < 0.001. African American population had significantly higher CD after controlling for chorioamnionitis and other confounding variables (aOR of 1.18 (1.17-1.18), p < 0.001). CONCLUSION: Chorioamnionitis is associated with increased rate of CD. Ethnic disparities exist in CD rates regardless of the chorioamnionitis status. Such findings warrant further investigation to explore factors associated with this discrepancy.

Status of countrywide laboratory services quality and capacity in primary healthcare facilities in Tanzania: Findings from Star Rating Assessment.

Accurate disease diagnosis relies on a well-organized and reliable laboratory system. This study assesses the quality of laboratory services in Tanzania based on the nationwide Star Rating Assessment (SRA) of Primary Healthcare (PHC) facilities conducted in 2017/18. This cross-sectional study utilized secondary data from all the country's PHC facilities stored in the SRA database. Laboratory service quality was assessed by aggregating scores as percentages of the maximum achievable score across various indicators: dedicated laboratory department/room, adequate equipment, staffing levels, adherence to testing protocols, establishment of turnaround times, internal and external quality controls, and safety and supplies management. Scores equal to or exceeding 80% were deemed compliant. Multiple linear regression was used to determine the influence of facility characteristics (level, ownership, location, staffing) on quality scores, with statistical significance set at p < 0.05. The study included 6,663 PHC facilities (85.9% dispensaries, 11% health centers, 3.2% hospital-level-1), with the majority being public (82.3% vs. 17.7%) and located in rural areas (77.1% vs. 22.9%). On average, facilities scored 30.8% (SD = 35.7), and only 26.6% met staffing requirements. Compliance with quality standards was higher in private (63% vs. 19%, p<0.001) and urban facilities (62% vs. 16%, p<0.001). More than half of the facilities did not meet either of the eight quality indicators. Quality was positively linked to staffing compliance (Beta = 5.770) but negatively impacted by dispensaries (Beta = -6.342), rural locations (Beta = -0.945), and public ownership (Beta = -1.459). A score of 30% falls significantly short of the national target of 80%. Improving laboratory staffing levels at PHC facilities could improve the quality of laboratory services, especially in public facilities that are based in rural areas. There is a need to further strengthen laboratory services in PHC facilities to ensure the quality of laboratory services and clients' satisfaction.

Engineering of Multifunctional Nanocomposite Membranes for Wastewater Treatment: Oil/Water Separation and Dye Degradation.

Multifunctional membrane technology has gained tremendous attention in wastewater treatment, including oil/water separation and photocatalytic activity. In the present study, a multifunctional composite nanofiber membrane is capable of removing dyes and separating oil from wastewater, as well as having antibacterial activity. The composite nanofiber membrane is composed of cellulose acetate (CA) filled with zinc oxide nanoparticles (ZnO NPs) in a polymer matrix and dipped into a solution of titanium dioxide nanoparticles (TiO2 NPs). Membrane characterization was performed using transmission electron microscopy (TEM), field emission scanning electron microscopy (FESEM), and Fourier transform infrared (FTIR), and water contact angle (WCA) studies were utilized to evaluate the introduced membranes. Results showed that membranes have adequate wettability for the separation process and antibacterial activity, which is beneficial for water disinfection from living organisms. A remarkable result of the membranes' analysis was that methylene blue (MB) dye removal occurred through the photocatalysis process with an efficiency of ~20%. Additionally, it exhibits a high separation efficiency of 45% for removing oil from a mixture of oil-water and water flux of 20.7 L.m-2 h-1 after 1 h. The developed membranes have multifunctional properties and are expected to provide numerous merits for treating complex wastewater.

Portrait of a generalist bacterium: pathoadaptation, metabolic specialization and extreme environments shape diversity of Staphylococcus saprophyticus.

Staphylococcus saprophyticus is a Gram-positive, coagulase-negative staphylococcus found in diverse environments including soil and freshwater, meat, and dairy foods. S. saprophyticus is also an important cause of urinary tract infections (UTIs) in humans, and mastitis in cattle. However, the genetic determinants of virulence have not yet been identified, and it remains unclear whether there are distinct sub-populations adapted to human and animal hosts. Using a diverse sample of S. saprophyticus isolates from food, animals, environmental sources, and human infections, we characterized the population structure and diversity of global populations of S. saprophyticus . We found that divergence of the two major clades of S. saprophyticus is likely facilitated by barriers to horizontal gene transfer (HGT) and differences in metabolism. Using genome-wide association study (GWAS) tools we identified the first Type VII secretion system (T7SS) described in S. saprophyticus and its association with bovine mastitis. Finally, we found that in general, strains of S. saprophyticus from different niches are genetically similar with the exception of built environments, which function as a 'sink' for S. saprophyticus populations. This work increases our understanding of the ecology of S. saprophyticus and of the genomics of bacterial generalists. Data summary: Raw sequencing data for newly sequenced S. saprophyticus isolates have been deposited to the NCBI SRA under the project accession PRJNA928770. A list of all genomes used in this work and their associated metadata are available in the supplementary material. Custom scripts used in the comparative genomics and GWAS analyses are available here: https://github.com/myoungblom/sapro_genomics . Impact statement: It is not known whether human and cattle diseases caused by S. saprophyticus represent spillover events from a generalist adapted to survive in a range of environments, or whether the capacity to cause disease represents a specific adaptation. Seasonal cycles of S. saprophyticus UTIs and molecular epidemiological evidence suggest that these infections may be environmentally-acquired rather than via transmission from person to person. Using comparative genomics and genome wide association study tools, we found that S. saprophyticus appears adapted to inhabit a wide range of environments (generalist), with isolates from animals, food, natural environments and human infections being closely related. Bacteria that routinely switch environments, particularly between humans and animals, are of particular concern when it comes to the spread of antibiotic resistance from farm environments into human populations. This work provides a framework for comparative genomic analyses of bacterial generalists and furthers our understanding of how bacterial populations move between humans, animals, and the environment.

Intracranial hemorrhages in infants of diabetic mothers: A national cohort study.

OBJECTIVE: To assess the association of maternal diabetes mellitus (DM) with intraventricular hemorrhage (IVH) and other intracranial hemorrhages (ICH) in newborns. STUDY DESIGN: We analyzed the National Inpatient Sample dataset and compared prevalence of IVH and other subtypes of ICH in infants of diabetic mothers (IDMs) vs. those born to mothers without DM. Regression models were used to control for demographic and clinical confounding variables. RESULT: A total of 11,318,691 infants were included. Compared to controls, IDMs had increased prevalence of IVH (aOR = 1.18, CI: 1.12-1.23, p < 0.001) and other ICH (aOR = 1.18, CI: 1.07-1.31, p = 0.001). Severe IVH (grades 3 & 4) was encountered less frequently in IDMs (aOR = 0.75, CI: 0.66-0.85, p < 0.001) than controls. Gestational DM was not associated with increased IVH after controlling for the demographic, clinical and perinatal confounders in the logistic regression model (aOR = 1.04, CI: 0.98-1.11, p = 0.22). CONCLUSION: Chronic maternal DM is associated with increased neonatal IVH and other ICH but not severe IVH. This association needs to be confirmed in further studies.

Antenatal magnesium sulfate and the need for mechanical ventilation in the first three days of life.

BACKGROUND: Antenatal administration of magnesium sulfate (MgSO4) to women in preterm labor has gained widespread use. This study examined the relationship between MgSO4 exposure with neonatal respiratory outcomes. METHODS: Very low birth weight (VLBW) infants exposed to antenatal MgSO4 were included. Infants who were intubated anytime during the first three days of life were compared to those who were not intubated regarding their demographic and clinical characteristics, MgSO4 therapy, immediate respiratory outcomes, and occurrence of intraventricular hemorrhage (IVH) using student t-test, chi square testing and logistic regression analysis to control for confounding variables. Correlation coefficient of MgSO4 cumulative dose given and duration of infusion with delivery room resuscitation and need for mechanical ventilation in the first 3 days of life were also calculated. Multilinear regression analysis was used to control for confounding factors. RESULTS: Intubated group included 96 infants while non-intubated group included 171 infants. Although, intubated group has younger gestational age (26 vs. 29 weeks, p < 0.01) and lower birth weight (786 vs. 1115 g (g), p < 0.01), there were no significant differences between groups in regard to MgSO4 cumulative dose (24 vs. 27 g, p = 0.29), infusion time (14.6 vs. 18 h, p = 0.19) or infants' serum magnesium level (2.6 vs. 2.8 milliequivalents (mEq)/L p = 0.86). There was no correlation between cumulative MgSO4 dose with endotracheal intubation or cardiac resuscitation in the delivery room (cc: -0.03, p = 0.66; and 0.02, p = 0.79, respectively) or the need for mechanical ventilation in the first 3 days of life (cc: -0.04 to -0.07, p = 0.21-0.51). In addition, there was no relationship between MgSO4 dose, duration of infusion, or infant's serum magnesium level and occurrence of IVH. CONCLUSION: Regardless of dose or duration of infusion, antenatal MgSO4 exposure is not associated with increased intubation or mechanical ventilation early in life.

Acute kidney injury in infants diagnosed with congenital diaphragmatic hernia.

BACKGROUND: To assess the association and outcomes of acute kidney injury (AKI) in infants diagnosed with congenital diaphragmatic hernia (CDH). METHODS: We analyzed the National Inpatient Sample dataset for the years 2010 through 2018. We evaluated the prevalence and outcomes associated with AKI in infants diagnosed with CDH. Outcomes were assessed using regression analysis while controlling for variables. RESULTS: A total of 32,042,481 term infants were identified, of them 10,804 had CDH. Prevalence of AKI in infants with CDH was 6.5% compared to 0.05% in those without CDH (aOR = 14.7, CI: 13.0-16.6). ECMO was utilized at 62% of CDH infants that had AKI compared to 17% in infants without AKI (aOR = 4.22, CI: 3.38-5.27). Mortality was greater in CDH infants who developed AKI when compared to those without AKI (57.3 vs. 16.7%, aOR = 3.65, CI: 2.99-4.46). The trend of mortality in CDH infants who developed AKI decreased overtime, p < 0.001, while the trends for mortality in the overall CDH infants and in CDH infants without AKI did not change during the study period, p = 0.12. CONCLUSION: AKI is not uncommon in infants diagnosed with CDH. ECMO utilization and mortality are substantially increased in CDH infants when they develop AKI. IMPACT: Mortality in infants diagnosed with congenital diaphragmatic hernia (CDH) is relatively high despite advances in neonatal care. Infants with CDH are potentially at increased risk of acute kidney injury (AKI). Within CDH population, infants diagnosed with AKI are at increased risk for ECMO use and mortality. This is the largest study to address the association and outcomes of AKI in term infants diagnosed with CDH.

An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization.

Smart grids (SGs) enhance the effectiveness, reliability, resilience, and energy-efficient operation of electrical networks. Nonetheless, SGs suffer from big data transactions which limit their capabilities and can cause delays in the optimal operation and management tasks. Therefore, it is clear that a fast and reliable architecture is needed to make big data management in SGs more efficient. This paper assesses the optimal operation of the SGs using cloud computing (CC), fog computing, and resource allocation to enhance the management problem. Technically, big data management makes SG more efficient if cloud and fog computing (CFC) are integrated. The integration of fog computing (FC) with CC minimizes cloud burden and maximizes resource allocation. There are three key features for the proposed fog layer: awareness of position, short latency, and mobility. Moreover, a CFC-driven framework is proposed to manage data among different agents. In order to make the system more efficient, FC allocates virtual machines (VMs) according to load-balancing techniques. In addition, the present study proposes a hybrid gray wolf differential evolution optimization algorithm (HGWDE) that brings gray wolf optimization (GWO) and improved differential evolution (IDE) together. Simulation results conducted in MATLAB verify the efficiency of the suggested algorithm according to the high data transaction and computational time. According to the results, the response time of HGWDE is 54 ms, 82.1 ms, and 81.6 ms faster than particle swarm optimization (PSO), differential evolution (DE), and GWO. HGWDE's processing time is 53 ms, 81.2 ms, and 80.6 ms faster than PSO, DE, and GWO. Although GWO is a bit more efficient than HGWDE, the difference is not very significant.

Physical-Layer Security in Power-Domain NOMA Based on Different Chaotic Maps.

Nonorthogonal multiple access (NOMA) is a relevant technology for realizing the primary goals of next-generation wireless networks, such as high connectivity and stability. Because a rising number of users are becoming connected, user data security has become a critical issue. Many chaotic communication systems have been established to address this important issue via exhibition of affordable physical-layer-security solutions. In this study, we propose a chaotic downlink NOMA (C-DL-NOMA) system over the additive white Gaussian noise and Rayleigh-fading channels to enhance the security of the DL-NOMA system. The proposed algorithm is based on a coherent analog modulation technique that combines various chaotic maps for chaotic masking of encrypted data. On the transmitter, chaotic encryption was used for transmitted data with fixed power-allocation-level control, whereas on the receiver, successive interference-cancellation demodulation was utilized to detect multiple users, after which chaotic decryption was performed. Simulation results were evaluated based on security analyses, such as statistical analysis (histogram and correlation analyses and information entropy), bit-error-rate performance, and achievable-data-rate performance. According to these security analyses and numerical results, the proposed C-DL-NOMA system outperformed traditional unencrypted NOMA systems.

A comparison of the outcomes of anterior curciate ligament reconstruction with large-size graft versus reconstruction with average-size graft combined with extraarticular tenodesis.

INTRODUCTION: Many patients who have had anterior cruciate ligament (ACL) reconstruction (R) complain of instability, inability to return to previous levels of sports activity, and possible ACL graft failure. Graft size was discovered to be an important factor in lowering ACL failure rates. Also, extraarticular tenodesis decreases recurrent instability, A comparative study was done to compare the effect of graft size and lateral external tenodesis on the recurrence of instability after ACL-R. PATIENTS AND METHODS: A Prospective Blinded Randomized Controlled study included 100 consecutive patients who underwent ACL-R with hamstring tendon grafts in our Hospital. The patients were allocated into two groups (Group A and B) with randomization; group A received ACL-R with a large-size ACL-graft diameter of 6 strands, and group B received ACL-R of 4 strands combined with lateral extraarticular tenodesis (LET) (Modified Lemaire). Each group had fifty patients. The follow-up time was two years. They were examined for graft failure, anterolateral rotatory instability with the pivot shift test, and clinical outcomes, which were evaluated with the International Knee Documentation Committee score (IKDC) both subjective and objective. RESULTS: In this study; group A, graft failure occurred in three (6.3%) patients, a positive pivot shift test grade I was detected in eight (17.8%) patients, grade II in three (6.7%) patients, and grade III in one (2.2%) patient. The subjective IKDC score was 87.9 (± 7.19) points. The objective IKDC score was normal or nearly normal in 43 (93.4%) patients. In group B, one (2.1%) patient had graft failure, five (10.9%) had a positive pivot shift test grade I, one (2.1%) had a grade II, and no patient had a grade III. The subjective IKDC score was 91.9 (± 8.9) points. The objective IKDC score was normal or nearly normal in 44 (95.6%) patients. As regard the subjective IKDC score, there was a non-significant difference between both groups (p value = 0.465). CONCLUSION: Both groups showed a low ACL-graft failure rate, low anterolateral rotatory instability, and a good clinical outcome. Although there was no significant difference in subjective IKDC score between both groups, the failure rate and anterolateral rotatory instability were significantly lower in the ACL-R (4 strands) with LET combination group than in the group with the large-diameter (6 strands) graft. LEVEL OF EVIDENCE: Level 1; Randomized Comparative Study.

Kidney replacement therapy in neonates: utilization trends and outcomes.

BACKGROUND: We aimed to assess prevalence and clinical characteristics of newborns receiving kidney replacement therapy (KRT). METHODS: We used the National Inpatient Sample (NIS) dataset for the years 2000-2017. Newborns treated with peritoneal dialysis (PD), hemodialysis (HD), and continuous KRT (CKRT) were included. Trend analysis using the Cochran-Armitage test was used to assess prevalence over the years. RESULTS: A total of 64,532,552 hospitalized newborns were included. Among the 4281 infants treated with KRT, 2501 (58.4%) were treated with PD, 997 (23.3%) had HD, and 783 (18.3%) used CKRT. Associated diagnoses included congenital kidney anomalies (37.4% vs. 15% vs. 9.5%), urinary tract anomalies (35% vs. 12.5% vs. 6.3%), and congenital heart disease (68% vs. 25.7% vs. 72.3%). Median length of stay was longest in PD patients (39 days vs. 18 days vs. 26 days), respectively. However, cost of hospitalization was greatest in CKRT patients (US $490,916 vs. US $218,514 vs. US $621,554), respectively. In the entire cohort, 54,424 newborns had acute kidney injury (AKI); of them 16,999 (31%) died. KRT was used in 2,688 (4.9%) of infants with AKI. Over the study period, trends for utilization of PD (from 0.042 to 0.06%) and CKRT (from 0.03 to 0.21%) increased whereas the hemodialysis trend decreased (from 0.021 to 0.013%). CONCLUSIONS: Congenital heart disease (CHD) and congenital anomalies of the kidneys and urinary tract (CAKUT) are the major diagnoses in newborns receiving KRT. Utilization of PD was greater than HD and CKRT. Trends of PD and CKRT utilization increased over time. Less than 5% of infants diagnosed with AKI received KRT.

Cue-Based Feeding as Intervention to Achieve Full Oral Feeding in Preterm Infants Primarily Managed with Bubble CPAP.

OBJECTIVE: Cue-based feeding aims at matching introduction of per oral (PO) feeding with physiological readiness of preterm infants to facilitate PO intake and avoid oral aversion. It was claimed that cue-based feeding may lead to delay in the initiation or achieving full PO feeding in clinical setting primarily using bubble nasal continuous positive airway pressure (CPAP). The study aimed to examine the association of cue-based feeding with time of introduction and completing oral feeding in infants primarily managed with bubble CPAP. STUDY DESIGN: A retrospective analysis where outcomes of preterm infants ≤32 weeks' gestational age (GA) and ≤2,000 g birth weight (BW) were compared after a practice change from volume-based feeding advancement to cue-based feeding. Continuous variables were compared by using t-test and multilinear regression analysis to control for confounding variables. RESULTS: Of the 311 preterm infants who met inclusion and exclusion criteria, 194 were in the cue-based feeding group and 117 were in the volume-based advancement historical comparison group. There were no differences between groups regarding demographic or clinical variables. Postmenstrual age (PMA) of initial feeding assessment was less in the cue-based feeding group. Age of first PO feeding and when some PO was achieved every feed was mildly delayed in the cue-based feeding compared with comparison group, 34 (±1.3) versus 33.7 (±1.2) weeks, and 36.2 (±2.3) versus 36.0 (±2.4) weeks, (p < 0.01) respectively. However, the age of achieving full PO did not differ between groups, 36.8 (±2.2) versus 36.4 (±2.4) weeks (p = 0.13). There was no difference between groups regarding growth parameters at 36 weeks' PMA or at discharge. Similar results were obtained when examining subcategories of infants ≤1,000 g and 1,001 to 2,000 g. CONCLUSION: Cue-based feeding may not be associated with a delay in achieving full oral feeding or prolongation of the length of stay in preterm infants managed with CPAP. KEY POINTS: · Cue-based feeding matches introduction of PO feeding with physiological readiness.. · Cue-based feeding may not be associated with a delay in achieving full oral feeding in preterm infants.. · Cue-based feeding is not associated with prolongation of the length of stay in preterm infants.. · Cue based feeding in preterm infants managed with noninvasive bubble CPAP is examined..

Randomised feasibility trial of a virtual intervention to address infant car seat misuse.

BACKGROUND: Serious car seat installation errors occur at high rates in infants and children. These errors significantly increase the risk of child injury in a motor vehicle crash, and few interventions have addressed the challenge longitudinally. METHODS: This was a pilot randomised controlled feasibility trial of virtual car seat safety checks for caregivers of newborns recruited from an urban newborn nursery. The control (enhanced usual care (EUC)) group received an in-person car seat check as a newborn and virtual check at 9 months. The intervention group received two additional virtual checks at 3 and 6 months. Installation and infant positioning errors were documented and corrected by a child passenger safety technician (CPST). We measured feasibility and acceptability by tracking caregiver and CPST challenges, and caregiver retention. Group differences were tested for statistical significance using χ2 or Fisher's exact test for categorical variables, and two sample t-tests for continuous variables. RESULTS: 33 caregivers were randomised to the EUC and 28 to the intervention group. Virtual checks were feasible, with variable participation levels at each quarter. Wi-Fi and app challenges noted in 30%. There was satisfaction with the virtual car seat checks. At baseline, car seat installation and infant positioning errors occurred at equal frequency, and at 9 months the intervention group had a significantly lower mean proportion than the EUC group in all categories of errors. In summary, virtual seat checks are feasible and the optimal timing of repeat checks requires additional study. A larger study is needed to further evaluate the effect of longitudinal virtual checks on errors.

Umbilical cord milking in nonvigorous infants: a cluster-randomized crossover trial.

BACKGROUND: Delayed cord clamping and umbilical cord milking provide placental transfusion to vigorous newborns. Delayed cord clamping in nonvigorous newborns may not be provided owing to a perceived need for immediate resuscitation. Umbilical cord milking is an alternative, as it can be performed more quickly than delayed cord clamping and may confer similar benefits. OBJECTIVE: We hypothesized that umbilical cord milking would reduce admission to the neonatal intensive care unit compared with early cord clamping in nonvigorous newborns born between 35 and 42 weeks' gestation. STUDY DESIGN: This was a pragmatic cluster-randomized crossover trial of infants born at 35 to 42 weeks' gestation in 10 medical centers in 3 countries between January 2019 and May 2021. The centers were randomized to umbilical cord milking or early cord clamping for approximately 1 year and then crossed over for an additional year or until the required number of consented subjects was reached. Waiver of consent as obtained in all centers to implement the intervention. Infants were eligible if nonvigorous at birth (poor tone, pale color, or lack of breathing in the first 15 seconds after birth) and were assigned to umbilical cord milking or early cord clamping according to their birth hospital randomization assignment. The baseline characteristics and outcomes were collected following deferred informed consent. The primary outcome was admission to the neonatal intensive care unit for predefined criteria. The main safety outcome was hypoxic-ischemic encephalopathy. Data were analyzed by the intention-to-treat concept. RESULTS: Among 16,234 screened newborns, 1780 were eligible (905 umbilical cord milking, 875 early cord clamping), and 1730 had primary outcome data for analysis (97% of eligible; 872 umbilical cord milking, 858 early cord clamping) either via informed consent (606 umbilical cord milking, 601 early cord clamping) or waiver of informed consent (266 umbilical cord milking, 257 early cord clamping). The difference in the frequency of neonatal intensive care unit admission using predefined criteria between the umbilical cord milking (23%) and early cord clamping (28%) groups did not reach statistical significance (modeled odds ratio, 0.69; 95% confidence interval, 0.41-1.14). Umbilical cord milking was associated with predefined secondary outcomes, including higher hemoglobin (modeled mean difference between umbilical cord milking and early cord clamping groups 0.68 g/dL, 95% confidence interval, 0.31-1.05), lower odds of abnormal 1-minute Apgar scores (Apgar ≤3, 30% vs 34%, crude odds ratio, 0.72; 95% confidence interval, 0.56-0.92); cardiorespiratory support at delivery (61% vs 71%, modeled odds ratio, 0.57; 95% confidence interval, 0.33-0.99), and therapeutic hypothermia (3% vs 4%, crude odds ratio, 0.57; 95% confidence interval, 0.33-0.99). Moderate-to-severe hypoxic-ischemic encephalopathy was significantly less common with umbilical cord milking (1% vs 3%, crude odds ratio, 0.48; 95% confidence interval, 0.24-0.96). No significant differences were observed for normal saline bolus, phototherapy, abnormal 5-minute Apgar scores (Apgar ≤6, 15.7% vs 18.8%, crude odds ratio, 0.81; 95% confidence interval, 0.62-1.06), or a serious adverse event composite of death before discharge. CONCLUSION: Among nonvigorous infants born at 35 to 42 weeks' gestation, umbilical cord milking did not reduce neonatal intensive care unit admission for predefined criteria. However, infants in the umbilical cord milking arm had higher hemoglobin, received less delivery room cardiorespiratory support, had a lower incidence of moderate-to-severe hypoxic-ischemic encephalopathy, and received less therapeutic hypothermia. These data may provide the first randomized controlled trial evidence that umbilical cord milking in nonvigorous infants is feasible, safe and, superior to early cord clamping.

Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends.

Bladder cancer (BC) is the 10th most common cancer globally and has a high mortality rate if not detected early and treated promptly. Non-muscle-invasive BC (NMIBC) is a subclassification of BC associated with high rates of recurrence and progression. Current tools for predicting recurrence and progression on NMIBC use scoring systems based on clinical and histopathological markers. These exclude other potentially useful biomarkers which could provide a more accurate personalized risk assessment. Future trends are likely to use artificial intelligence (AI) to enhance the prediction of recurrence in patients with NMIBC and decrease the use of standard clinical protocols such as cystoscopy and cytology. Here, we provide a comprehensive survey of the most recent studies from the last decade (N = 70 studies), focused on the prediction of patient outcomes in NMIBC, particularly recurrence, using biomarkers such as radiomics, histopathology, clinical, and genomics. The value of individual and combined biomarkers is discussed in detail with the goal of identifying future trends that will lead to the personalized management of NMIBC.