Providing very low-birth-weight infants with fast enteral feeding reduced how long they needed a central venous catheter.

AIM: To determine the impact of the protocol change from slow to fast enteral feeding progression on duration of central venous catheter placement, and the rates of late-onset sepsis and necrotising enterocolitis. METHODS: We compared the evolution of all very low-birth-weight infants admitted on their first postnatal day in neonatal intensive care unit during a 12-month period, before (2021 Cohort) and after (2022 Cohort) implementation of a new feeding protocol. Linear regression model was used to adjust for confounding factors. RESULTS: A total of 343 VLBW infants were included (median gestational age ± SD 28.3 ± 1.7 weeks; median birth weight ± SD 980 ± 300 g). Median initial duration of central venous catheter was 5 days in 2022 cohort compared with 9 days in 2021 cohort (unadjusted p = 0.006, adjusted p = 0.001). Median time to achieve full enteral feeding was 8 days versus 12 days, p < 0.001, with no significant difference in late-onset sepsis or necrotising enterocolitis rates. CONCLUSION: The change from slow to fast enteral feeding progression for very low-birth-weight infants significantly decreased the central venous catheter duration with no adverse outcomes. This is consistent with recent randomised study results and supports the safe implementation in neonatal intensive care units.

Chronic kidney disease associated with extremely premature birth and extremely low birth weight may progress through the burden of growth.

Chronic kidney disease associated with low birth weight and/or premature birth (L/P-CKD) in infants may result from a decreased number of nephrons at birth. These infants may develop acute kidney injury due to exposure to nephrotoxic substances or other events during nephrogenesis in early infancy. Nonetheless, L/P-CKD progression remains unclear. We present three cases of L/P-CKD diagnosed after neonatal intensive care unit (NICU) discharge. Three patients were born extremely prematurely (gestational age, 24-26 weeks) with extremely low birth weight (606-906 g). They were admitted to the NICU (117-311 days) anad received several nephrotoxic medications during the early postnatal period. They showed elevated serum creatinine levels at 4 weeks after birth, which decreased to normal levels at NICU discharge. Proteinuria was first detected during adolescence (10-15 years) on annual school urine screening, with a remarkable increase in their height (18 - 50.8 cm), without known episodes of urinary tract infection, dehydration, lifestyle-related issues, such as excessive salt/protein intake, and extreme lack of exercise that might have caused kidney damage. Their kidneys were smaller than normal on renal ultrasonography. Open renal biopsy findings indicated glomerulomegaly and perihilar glomerulosclerosis in two of the three patients, suggesting glomerular hypertension. The remarkable differences between the body height before CKD and the timing of diagnosis of CKD could contribute to the progress of CKD. Long-term follow-up of low birth weight and extremely premature infants, from NICU discharge until adulthood, should be established.

The prebiotic effect of 1-kestose in low-birth-weight neonates taking bifidobacteria: a pilot randomized trial in comparison with lactulose.

Probiotics such as bifidobacteria have been given to low-birth-weight neonates (LBWNs) at risk for a disrupted gut microbiota leading to the development of serious diseases such necrotizing enterocolitis. Recently prebiotics such as lactulose are used together with bifidobacteria as synbiotics. However, faster and more powerful bifidobacteria growth is desired for better LBWN outcomes. The prebiotic 1-kestose has a higher selective growth-promoting effect on bifidobacteria and lactic acid bacteria in vitro among several oligosaccharides. Twenty-six premature neonates (less than 2,000 g) admitted to a neonatal intensive care unit (NICU) were randomly assigned to receive Bifidobacterium breve M16-V with either 1-kestose or lactulose once a day for four weeks from birth. A 16S rRNA gene analysis revealed similar increases in alpha-diversity from 7 to 28 days in both groups. The most dominant genus on both days was Bifidobacterium in both groups, with no significant difference between the two groups. Quantitative PCR analysis revealed that the number of Staphylococcus aureus tended to be lower in the 1-kestose group than in the lactulose group at 28 days. The number of Escherichia coli was higher in the 1-kestose group at 7 days. The copy number of total bacteria in the 1-kestose group was significantly higher than that in the lactulose group at 3 time points, 7, 14, and 28 days. No severe adverse events occurred in either group during the study period. l-Ketose may offer an alternative option to lactulose as a prebiotic to promote the development of gut microbiota in LBWNs.

Effect of multi-strain bifidobacteria supplementation on intestinal microbiota development in low birth weight neonates: a randomized controlled trial.

Single-strain Bifidobacterium species are commonly used as probiotics with low birth weight neonates. However, the effectiveness and safety of multi-strain Bifidobacterium supplementation are not well known. Thirty-six neonates weighing less than 2,000 g (558-1,943 g) at birth and admitted to a neonatal intensive care unit were randomly assigned to receive a single strain or triple strains of Bifidobacterium with lactulose enterally for 4 weeks from birth. The relative abundances of Staphylococcus and Bifidobacterium in the fecal microbiota at weeks 1, 2, and 4 were investigated. Based on the study results, no significant difference was detected between the two groups in the abundance of Staphylococcus; however, the triple-strain group had significantly high abundances of Bifidobacterium at weeks 2 and 4. The fecal microbiota in the triple-strain group had significantly lower alpha diversity (Bifidobacterium-enriching) after week 4 and was different from that in the single-strain group, which showed a higher abundance of Clostridium. No severe adverse events occurred in either group during the study period. Although no significant difference was detected between single- and multi-strain bifidobacteria supplementation in the colonization of Staphylococcus in the fecal microbiota of the neonates, multi-strain bifidobacteria supplementation contributed toward early enrichment of the microbiota with bifidobacteria and suppression of other pathogenic bacteria, such as Clostridium spp.

Prevalence and associated risk factors of intraventricular hemorrhage in preterm newborns in Southwestern Iran.

PURPOSE: The purpose of this study was to investigate the prevalence of IVH and its associated risk factors in premature newborn admitted to NICU in Southwestern Iran. METHODS AND MATERIALS: This cross-sectional study involved all premature newborn admitted to Namazee NICU, Southwestern Iran, during the year 2022. The diagnosis of IVH was confirmed using brain ultrasonography, following Papille's criteria. Demographic data and potential risk factors were collected and analyzed for two groups: neonate diagnosed with IVH and those without the condition. RESULTS: Among the 275 preterm neonates studied (125 girls, 150 boys), the mean gestational age was 29.22 ± 1.44 weeks. The prevalence of IVH was found to be 20.4% within the first 7th day after birth. The recognized risk factors of IVH in our study were gestational age, pneumothorax, hypoxia, antenatal steroids, and transfusion of packed red blood cell. Duration of intubation and CPAP therapy were found to be other risk factors, too. The logistic regression model showed preterm newborns born between gestational age of 28+1 and 30+6 weeks had a twofold increased risk of developing IVH. CONCLUSION: The prevalence of IVH in NICU hospitalized newborns with a gestational age of ≤ 32 weeks was around 20%, which is consistent with other studies conducted in Iran. The findings emphasize the importance of enhanced antenatal care for early intervention for neonates born at early gestational age to reduce or prevent the risk of IVH.

Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach.

BACKGROUND: Quality caregiver-infant interaction is crucial for infant growth, health, and development. Traditional methods for evaluating the quality of caregiver-infant interaction have predominantly relied on rating scales or observational techniques. However, rating scales are prone to inaccuracies, while observational techniques are resource-intensive. The utilization of easily collected medical records in conjunction with machine learning techniques offers a promising and viable strategy for accurate and efficient assessment of caregiver-infant interaction quality. METHODS: This study was conducted at a follow-up outpatient clinic at two tertiary maternal and infant health centers located in Shanghai, China. 68 caregivers and their 3-15-month-old infants were videotaped for 3-5 min during playing interactions in non-threatening environment. Two trained experts utilized the Infant CARE-Index (ICI) procedure to assess whether the caregivers were sensitive or not in a dyadic context. This served as the gold standard. Predictors were collected through Health Information Systems (HIS) and questionnaires, which included accessible features such as demographic information, parental coping ability, infant neuropsychological development, maternal depression, parent-infant interaction, and infant temperament. Four classification models with fivefold cross-validation and grid search hyperparameter tuning techniques were employed to yield prediction metrics. Interpretable analyses were conducted to explain the results. RESULTS: The score of sensitive caregiver-infant interaction was 6.34 ± 2.62. The Random Forest model gave the best accuracy (83.85%±6.93%). Convergent findings identified infant age, care skills of infants, mother age, infant temperament-regulatory capacity, birth weight, positive coping, health-care-knowledge-of-infants, type of caregiver, MABIS-bonding issues, ASQ-Fine Motor as the strongest predictors of interaction sensitivity between infants and their caregiver. CONCLUSIONS: The proposed method presents a promising and efficient approach that synergistically combines rating scales and artificial technology to detect important features of caregiver-infant interactions. This novel approach holds several implications for the development of automatic computational assessment tools in the field of nursing studies.

Management of gastroschisis in an extremely low birth weight infant: report of a case.

BACKGROUND: Gastroschisis is a rare congenital anomaly in which abdominal organs herniate through a defect in the abdominal wall. Managing gastroschisis in extremely low birth weight (ELBW) infants presents significant challenges because of their immature physiologies and increased risk of complications. CASE PRESENTATION: This report discusses the case of a female ELBW infant born via an emergency cesarean section at 29 weeks of gestation, weighing 768 g, who had a prenatal diagnosis of gastroschisis. Postnatal management included immediate surgical intervention using a hand-made silo manufactured from expanded polytetrafluoroethylene (ePTFE) sheets that were sutured to the patient's abdominal wall to accommodate her small abdominal cavity and preserve mesenteric blood flow. Necrotizing enterocolitis with bowel perforation emerged as a complication, which led to the excision of a 10 cm segment of the ileum and the creation of an ileostomy. The infant experienced insufficient weight gain and liver dysfunction. However, she was eventually discharged on day 142 of life, weighing 2774 g, on oral feeding, without significant complications. CONCLUSIONS: This case emphasizes how prematurity significantly affected the patient's clinical outcomes, and highlights the importance of individualized management strategies. Our experience demonstrates that custom silo placement allows for the size to be adapted to the abdominal defect, and highlights the critical need to prioritize postnatal bowel perfusion in ELBW infants with gastroschisis.

Ambient air pollution and low birth weight in Brazil: A nationwide study of more than 10 million births between 2001 and 2018.

Low birth weight (LBW) is a global health concern. While it is commonly associated with maternal health and behavior, exposure to ambient air pollution, can also play a role in contributing to LBW. In Brazil, where diverse environmental conditions and regional disparities exist, assessing the impact of ambient air pollution on LBW becomes particularly pertinent. To our knowledge, there is a gap in the existing literature, as no previous study has specifically investigated the relationship between ambient air pollution and LBW nationwide in Brazil. This study aims to fill this gap by examining the association between ambient air pollution and LBW in each trimester of pregnancy across the Brazilian states. In this work, birth data from January 1, 2001, to December 31, 2018 has been used. We utilized logistic regression models to estimate the odds ratio (OR) for low birth weight (LBW) associated with ambient air pollution (PM2.5, NO2, and O3) during each trimester of pregnancy (1st to 3rd trimester) across all 27 Brazilian states in our nationwide case-control study. We adjusted our model for several variables, including ambient temperature, relative humidity, and socioeconomic status (SES) variables at the individual level. We also conducted effect modification analyses by infant sex, mother's age, and the number of prenatal visits. Our study comprises over 10,213,144 birth records nationwide. Of these, 479,204 (4.92%) infants were included as cases of LBW. Our results indicate positive associations between PM2.5 and LBW, mainly in the Southern region. For example, in the state of Santa Catarina (South region), ORs were 1.003 (95% CI: 1.002, 1.004), 1.003 (95% CI: 1.002, 1.004), and 1.005 (95% CI: 1.003, 1.007) for the 1st, 2nd, and 3rd trimesters of exposure, respectively. NO2 had a robust association with LBW in the Northern and Northeastern states, including the state of Amapá (North region, where the Amazon Forest is located) with ORs of 1.377 (95% CI: 1.010, 1.878), 1.390 (95% CI: 1.020, 1.894), and 1.747 (95% CI: 1.297, 2.352) for the 1st, 2nd, and 3rd trimesters of exposure, respectively. Similarly, O3 had a robust association in the North and Midwest states, as observed in the state of Amapá with ORs of 1.033 (95% CI: 1.012, 1.054), and 1.033 (95% CI: 1.013, 1.053) for the 2nd, and 3rd trimesters, respectively. In the stratified analysis, boys were more vulnerable than girls, and the lower number of prenatal visits was associated with higher OR. Our findings are essential to the development of guidelines to prevent maternal exposure and protection of newborns in Brazil. This study provides valuable insights for region-specific strategies to improve maternal and neonatal health.

Extremely Low Birth Weight Infant (Gestational Age of 29 Weeks) With Kabuki Syndrome Type I: Case Report and Literature Review.

BACKGROUND: This paper aimed to investigate the clinical phenotype of Kabuki syndrome (KS) in premature infants. METHODS: This paper presents a case of an extremely low birth weight infant (gestational age 29 weeks) with KS1 caused by a variant in the KMT2D gene. The clinical, pathological, and differential diagnostic findings were comprehensively analyzed. A thorough literature review was also performed to enhance the understanding of KS, revealing its unique features and prognostic significance. RESULTS: The infant was a male with a gestational age of 29 weeks and a birth weight of 850 g. He had intrauterine growth retardation, characterized by cleft palate, sacrococcygeal skin depressions, and recurrent metabolic acidosis. Whole-exome sequencing revealed the c.4267C > T (p.Arg1423Cys) variant in the KMT2D gene, which was absent in his parents. The patient was discharged after 67 days of treatment, and he was followed up to 19 months of corrected gestational age, with growth retardation and expression language delay. Ten previous studies on preterm infants were retrieved, with 10 preterm infants. They all had characteristic facial features, such as long blepharophimosis, sparse and lateral 1/3 eyebrows, and large and prominent/cupped ears. Other manifestations were extrauterine growth delay (7/10), abnormal development of the cardiovascular system (7/10), abnormal development of the nervous system (5/10), and cleft palate (2/10). CONCLUSIONS: Kabuki syndrome is a rare hereditary disorder involving multiple organs and systems. Genetic assessment for preterm infants with congenital abnormalities is recommended.

Prediction and feature selection of low birth weight using machine learning algorithms.

BACKGROUND AND AIMS: The birth weight of a newborn is a crucial factor that affects their overall health and future well-being. Low birth weight (LBW) is a widespread global issue, which the World Health Organization defines as weighing less than 2,500 g. LBW can have severe negative consequences on an individual's health, including neonatal mortality and various health concerns throughout their life. To address this problem, this study has been conducted using BDHS 2017-2018 data to uncover important aspects of LBW using a variety of machine learning (ML) approaches and to determine the best feature selection technique and best predictive ML model. METHODS: To pick out the key features, the Boruta algorithm and wrapper method were used. Logistic Regression (LR) used as traditional method and several machine learning classifiers were then used, including, DT (Decision Tree), SVM (Support Vector Machine), NB (Naïve Bayes), RF (Random Forest), XGBoost (eXtreme Gradient Boosting), and AdaBoost (Adaptive Boosting), to determine the best model for predicting LBW. The model's performance was evaluated based on the specificity, sensitivity, accuracy, F1 score and AUC value. RESULTS: Result shows, Boruta algorithm identifies eleven significant features including respondent's age, highest education level, educational attainment, wealth index, age at first birth, weight, height, BMI, age at first sexual intercourse, birth order number, and whether the child is a twin. Incorporating Boruta algorithm's significant features, the performance of traditional LR and ML methods including DT, SVM, NB, RF, XGBoost, and AB were evaluated where LR, had a specificity, sensitivity, accuracy and F1 score of 0.85, 0.5, 85.15% and 0.915. While the ML methods DT, SVM, NB, RF, XGBoost, and AB model's respective accuracy values were 85.35%, 85.15%, 84.54%, 81.18%, and 84.41%. Based on the specificity, sensitivity, accuracy, F1 score and AUC, RF (specificity = 0.99, sensitivity = 0.58, accuracy = 85.86%, F1 score = 0.9243, AUC = 0.549) outperformed the other methods. Both the classical (LR) and machine learning (ML) models' performance has improved dramatically when important characteristics are extracted using the wrapper method. The LR method identified five significant features with a specificity, sensitivity, accuracy and F1 score of 0.87, 0.33, 87.12% and 0.9309. The region, whether the infant is a twin, and cesarean delivery were the three key features discovered by the DT and RF models, which were implemented using the wrapper technique. All three models had the identical F1 score of 0.9318. However, "child is twin" was recognized as a significant feature by the SVM, NB, and AB models, with an F1 score of 0.9315. Ultimately, with an F1 score of 0.9315, the XGBoost model recognized "child is twin" and "age at first sex" as relevant features. Random Forest again beat the other approaches in this instance. CONCLUSIONS: The study reveals Wrapper method as the optimal feature selection technique. The ML method outperforms traditional methods, with Random Forest (RF) being the most effective predictive model for Low-Birth-Weight prediction. The study suggests that policymakers in Bangladesh can mitigate low birth weight newborns by considering identified risk factors.

Association between outdoor artificial light at night and low birth weight in California.

Artificial light at night (ALAN) is a growing environmental issue associated with adverse health consequences, but the association with low birth weight remains unknown. We aim to explore associations between outdoor ALAN and low birth weight across 7,808 census tracts in California. We use data from the California Communities Environmental Health Screening Tool (CalEnviroScreen) at the census tract level. VIIRS Nighttime Day/Night Band Composites Version 1 dataset within the Google Earth Engine platform was used to assess outdoor ALAN. Multivariable linear regression was used to analyze the data. Our findings showed that an interquartile range increase in outdoor ALAN resulted in an increase of 0.42% (95% CI: 0.37, 0.46) in low birth weight rate on average, after adjusting for all potential covariates. The results demonstrate a significant association between outdoor ALAN and low birth weight. These associations remained consistent in sensitivity analyses.

Meconium Ileal Obstruction and Functional Immaturity: Review.

INTRODUCTION: Ileal obstruction caused by thick meconium associated with functional immaturity (IOMFI) is an uncommon disease associated with prematurity. IOMFI is not well known, and late or wrong diagnosis is a problem. In this research, we review the clinical characteristics and therapeutic methods of IOMFI. METHODS: Critical descriptive literature review. RESULTS: Most patients eliminate meconium previously to IOMFI. More premature babies tend to become symptomatic in their second week of life, with progressive abdominal distension. The most frequent complication is perforation. Radiologically there is diffuse intestinal distention without air-fluid levels. In contrast enema a caliber transition zone is observed in the distal ileum with multiple filling defects in the ileum and colon. Neural ganglia are present in biopsies from the rectum, colon, and stoma, mostly with characteristics of immature ganglia. Most patients respond to treatment with water soluble contrast enemas. Surgery is needed for patients who do not respond to enemas and those presenting perforations. DISCUSSION: IOMFI literature is limited to retrospective mainly small and heterogeneous cohorts. Patients usually respond promptly to water soluble enemas, but a favorable response is highly dependent in contrast reflux through the ileocecal valve and success is related to early treatment. Contrast inflow may be controlled by intermittent radiographies or real time ultrasound.

To Study the Correlation of Maternal Serum Vitamin D Levels and Infant Serum Vitamin D Levels With Infant Birth Weight: A Single-Centre Experience From the Bundelkhand Region, India.

BACKGROUND: Vitamin D deficiency during pregnancy can have severe effects on both the mother and the newborn child. The main aim of this study was to assess the impact of maternal vitamin D levels on the birth weight of the newborn by analysing the vitamin D levels in pregnant women at full term and their newborn. MATERIAL AND METHODS: The cross-sectional, hospital-based study was conducted with 150 consecutive women in labour presenting with a singleton term pregnancy at a large tertiary centre in the Bundelkhand region, India. Maternal and infant blood samples were obtained at the time of delivery. Umbilical cord blood was collected from infants, while maternal venous blood was drawn simultaneously. All relevant data were gathered, including the assessment of 25-hydroxy vitamin D3 levels in both mother and infant. The birth weight of the infant was measured, and statistical analysis was performed to find an association between maternal vitamin D level to birth weight and vitamin D level of the infant. RESULT: Most pregnant women had low vitamin D levels in this study. The results revealed a significant positive correlation between maternal serum vitamin D levels and infant birth weight (p < 0.001), suggesting that lower maternal vitamin D levels were associated with low birth weight in infants. Additionally, infant serum vitamin D levels showed a positive correlation with maternal vitamin D levels (p < 0.001), indicating that higher maternal vitamin D levels tend to have infants with higher vitamin D levels at birth. CONCLUSION: These findings suggest a potential correlation of maternal vitamin D status to birth weight and vitamin D level of newborns, and further research is needed to confirm and better understand this relationship. Additionally, other factors such as maternal nutrition, genetics, lifestyle factors, and environmental influences may contribute to birth weight outcomes.

Perinatal Outcome of Pemphigoid Gestationis: A Report of Three Cases and Review of the Literature.

Pemphigoid gestationis (PG) is a rare autoimmune blistering disorder that typically manifests during the second or third trimester of pregnancy. It is characterized by intensely pruritic urticarial plaques and blister formation, driven by an autoimmune response against the BP180 protein in the basement membrane. In this report, three cases of PG are presented, each illustrating distinct clinical courses and management strategies. The first case involves a 32-year-old primigravida at 31 weeks of gestation who presented with abdominal blisters that were unresponsive to topical steroids. Oral prednisone at a dosage of 15 mg was initiated at 33 weeks, leading to the resolution of the rash by 37 weeks. She subsequently delivered vaginally at 40 weeks. The second case concerns a 37-year-old multigravida who developed blisters on her limbs and abdomen at 27 weeks, which improved with the application of topical steroids. Due to a history of a previous cesarean section, she delivered via elective cesarean section at 38 weeks. The third case involves a 35-year-old multigravida who experienced fetal growth restriction starting from 29 weeks. She developed a mild erythematous, pruritic rash, and blisters at 33 weeks and required an emergency cesarean section at 33 weeks due to non-reassuring fetal status. The diagnosis of PG was confirmed postpartum. These cases underscore the clinical variability and potential complications associated with PG. They also suggest that the severity of PG's cutaneous manifestations may not directly correlate with pregnancy outcomes. Early detection and individualized management are crucial to optimizing both maternal and neonatal outcomes.

Machine-learning-based evaluation of the usefulness of lactate for predicting neonatal mortality in preterm infants.

BACKGROUND: Unlike in adult and pediatric patients, the usefulness of lactate in preterm infants has not been thoroughly discussed. This study aimed to evaluate whether the lactate level in the first hours of life is an important factor associated with neonatal death in very-low-birth-weight (VLBW) preterm infants. METHODS: Electronic medical records from a level 4 neonatal intensive care unit in South Korea were reviewed to obtain perinatal and neonatal outcomes. Data on lactate levels of preterm infants in the first 12 h of life were collected. Neonatal mortality and morbidities were compared based on lactate levels. Subsequently, machine-learning models incorporating 20 independent variables, both with and without lactate, were compared for model performances and feature importance of lactate for predicting in-hospital mortality in the applicable models. RESULTS: One hundred and sixty-eight preterm infants were included. Death rates on days 7 and 30 of life (D30-mortality) were significantly higher in infants with high lactate levels (≥3rd interquartile range) than in those with lower levels (<3rd interquartile range). Though statistically insignificant, the overall in-hospital mortality was more than twice as high in the high lactate level group than in the lower lactate level group. Based on the machine learning results, Random Forest, Gradient Boosting, and LightGBM models all showed greater area under the curves when lactate was included. Lactate consistently ranked in the variables of top five feature importance, particularly showing the greatest value in the Gradient Boosting model. CONCLUSION: Lactate levels during the early hours of life may be an important factor associated with in-hospital death of preterm VLBW infants. Based on the enhanced performance of the above-mentioned machine learning models, lactate levels in the early postnatal period may add to assessing the clinical status and predicting the hospital course in this population.

Determinants of low birth weight in Franceville, Southeast Gabon.

Introduction: birth weight is a critical indicator of neonatal health and predicts future developmental outcomes. Despite its importance, there is a notable lack of research on the determinants of low birth weight (LBW) in southeast Gabon. This study aims to fill this gap by identifying factors contributing to LBW at the Centre Hospitalier Universitaire Amissa Bongo in Franceville. Methods: this retrospective analysis covered the period from February 2011 to May 2017, focusing on postpartum women and their infants. Data were analyzed using R software (version 4.3.2), employing both descriptive statistics and logistic regression. Statistical significance was determined at a p-value of less than 0.05. Results: among the 877 births analyzed, the prevalence of LBW was 8.4%. Bivariate analysis identified several factors associated with an increased risk of LBW, including, primigravida women (COR (95%CI) =0.59 (0.36-0.98), P = 0.036), primiparous women (COR (95%CI) =0.58 (0.36-0. 94), P = 0.024), women with a gestational age <37 weeks (COR (95%CI) =0.07 (0.04-0.11), P<0.001), women with ≤2 antenatal visits (COR (95%CI) =0.39 (0.18-0.93), P= 0.021), and women who underwent cesarean delivery (COR (95%CI) =0.46 (0.26-0.84), P = 0.008). However, multivariate analysis showed that only gestational age (AOR (95%CI) = 0.07 (0.04-0.11), P<0.001) and cesarean delivery (AOR (95%CI) = 0.48 (0.25-0.95), P = 0.03) were significantly associated with LBW. Conclusion: this study highlights the importance of gestational age and delivery method in the prevalence of LBW in southeast Gabon. These findings underscore the need for targeted interventions to address these risk factors, thereby improving neonatal health outcomes.

Frequency of ROP Diagnosis and Treatment in Very Low Birth Weight Preterm Infants by Gestational Week and Birth Weight: A Single-Center Experience.

Objectives: The objective of the study was to evaluate the prevalence and potential risk factors associated with retinopathy of prematurity (ROP) in very low birth weight (BW) ROP patients stratified by different BW categories. Methods: This retrospective cohort study examined very low BW patients (≤1500 g) treated at a neonatal intensive care unit and subsequently assessed for ROP at the outpatient clinic. Data on gestational age (GA), BW, ROP severity, treatments, and outcomes were collected following international ROP classification criteria. Patients with type 1 ROP and aggressive ROP received treatment. Patients were categorized based on 250 g BW intervals, and ROP frequency and treatment rates were assessed by GA. Results: In this study, 116 patients, comprising 60.3% of females and 39.7% of males, were analyzed. The GA ranged from 23 to 34 weeks, with a mean of 30.03±2.64 weeks, while the mean BW was 1108±275 g, ranging from 370 g to 1490 g. ROP was present in 49.1% of patients and 19.8% required treatment. Lower BW and GA were significantly associated with ROP (p<0.05). ROP incidence and treatment rates varied across BW groups. Conclusion: ROP diagnosis and treatment rates have risen over time, reflecting improvements in intensive care. Categorizing premature infants based on BW facilitates the development of screening criteria tailored to neonatal intensive care units and aids in predicting ROP diagnosis and treatment rates.

Impact of low birth weight on staged single-ventricle palliation.

BACKGROUND: To assess the impact of low birth weight on early and late outcomes after staged palliation for single ventricle. METHODS: Patients after stage 1 palliation for single ventricle in our institution were retrospectively included and divided into two weight groups: 2.5 kg or less (low birth weight) and more than 2.5 kg. The impact of low birth weight on mortality and on the progression to further palliation stages (bidirectional Glenn, stage 2, and total cavopulmonary connection, stage 3) was assessed. RESULTS: A total of 452 patients were included. Patients with low birth weight (n = 37, 8 %) had more frequently associated prematurity and extracardiac anomalies. Early and inter-stage mortality after stage 1 was higher in patients with low birth weight, so that less of these patients reached the next palliation stage (57 % vs. 77 %, p = 0.01, and 38 % vs. 56 %, p = 0.05, for stage 2 and stage 3, respectively). After 5 years, overall survival was inferior in patients with low birth weight (48 % vs. 73 %, p < 0.001). Survival conditioned by stage 2 palliation was inferior in patients with low birth weight compared to the reference group (76 % vs. 89 % after 5 years, p = 0.04). Low birth weight was a risk factor for death in most patients' subgroups, inclusive those with restricted pulmonary blood flow after a systemic-to-pulmonary shunt procedure. CONCLUSIONS: During staged palliation of single-ventricle physiology, low birth weight has a detrimental impact on survival extending to beyond stage 2. This study calls for increased vigilance of these patients beyond the first interstage.

Mortality of very low birth weight infants by neonatal intensive care unit workload and regional group status.

Background: Very low birth weight infants (VLBWIs) continue to face high mortality risk influenced by the care quality of neonatal intensive care units (NICUs). Understanding the impact of workload and regional differences on these rates is crucial for improving outcomes. Purpose: This study aimed to assess how the structural and staffing attributes of NICUs influence the mortality rates of VLBWIs, emphasizing the significance of the availability of medical personnel and the regional distribution of care facilities. Methods: Data from 69 Korean NICUs collected by the Korean Neonatal Network between January 2015 and December 2016 were retrospectively analyzed. The NICUs were classified by various parameters: capacity (small, medium, large), nurse-to-bed ratio (1-4), and regional location (A, B, C). Pediatrician staffing was also analyzed and NICUs categorized by beds per pediatrician into low (≤10), medium (11-15), and high (≥16). The NICUs were classified by mortality rates into high-performance (1st and 2nd quartiles) and low-performance (3rd and 4th quartiles). Demographic, perinatal, and neonatal outcomes were analyzed using multivariate logistic regression to explore the association between NICU characteristics and mortality rates. Results: This study included 4,745 VLBWIs (mean gestational age, 28.4 weeks; mean birth weight, 1,088 g; 55.4% male) and found significant variations in survival rates across NICUs linked to performance and staffing levels. High-performing NICUs, often with lower bed-to-staff ratios and advanced care levels, had higher survival rates. Notably, NICUs with two rather than one neonatologist were associated with reduced mortality rates. The study also underscored regional disparities, with NICUs in certain areas showing less favorable survival rates. Conclusion: Adequate NICU staffing and proper facility location are key to lowering the number of VLBWI deaths. Enhancing staffing and regional healthcare equity is crucial for improving the survival of this population.

Influence of perinatal factors on full-term low-birth-weight infants and construction of a predictive model.

BACKGROUND: Being too light at birth can increase the risk of various diseases during infancy. AIM: To explore the effect of perinatal factors on term low-birth-weight (LBW) infants and build a predictive model. This model aims to guide the clinical management of pregnant women's healthcare during pregnancy and support the healthy growth of newborns. METHODS: A retrospective analysis was conducted on data from 1794 single full-term pregnant women who gave birth. Newborns were grouped based on birth weight: Those with birth weight < 2.5 kg were classified as the low-weight group, and those with birth weight between 2.5 kg and 4 kg were included in the normal group. Multiple logistic regression analysis was used to identify the factors influencing the occurrence of full-term LBW. A risk prediction model was established based on the analysis results. The effectiveness of the model was analyzed using the Hosmer-Leme show test and receiver operating characteristic (ROC) curve to verify the accuracy of the predictions. RESULTS: Among the 1794 pregnant women, there were 62 cases of neonatal weight < 2.5 kg, resulting in an LBW incidence rate of 3.46%. The factors influencing full-term LBW included low maternal education level [odds ratio (OR) = 1.416], fewer prenatal examinations (OR = 2.907), insufficient weight gain during pregnancy (OR = 3.695), irregular calcium supplementation during pregnancy (OR = 1.756), and pregnancy hypertension syndrome (OR = 2.192). The prediction model equation was obtained as follows: Logit (P) = 0.348 × maternal education level + 1.067 × number of prenatal examinations + 1.307 × insufficient weight gain during pregnancy + 0.563 × irregular calcium supplementation during pregnancy + 0.785 × pregnancy hypertension syndrome - 29.164. The area under the ROC curve for this model was 0.853, with a sensitivity of 0.852 and a specificity of 0.821. The Hosmer-Leme show test yielded χ 2 = 2.185, P = 0.449, indicating a good fit. The overall accuracy of the clinical validation model was 81.67%. CONCLUSION: The occurrence of full-term LBW is related to maternal education, the number of prenatal examinations, weight gain during pregnancy, calcium supplementation during pregnancy, and pregnancy-induced hypertension. The constructed predictive model can effectively predict the risk of full-term LBW.