Search Results (334)

Siberian sturgeon (Acipenser baerii Brandt, 1869), characterized by its rapid mass accumulation and high survival rate under industrial breeding conditions, is one of the most promising aquacultural species. This research aimed to study the growth and development of farmed Siberian sturgeon (Acipenser baerii Brandt, 1869) to improve breeding programs. This research was conducted at the Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst and focused on the Lena population broodstock of Siberian sturgeon of the April 2022 generation (n = 98), grown in a recirculating aquaculture system (RAS). The experiment took into account body weight (W, g) and eleven morphological measurements: L—absolute length (cm); LR—fish body length increase (cm/day); l—commercial length (cm); L2—fork length (cm); HL—head length (cm); PV—pectoventral distance (cm); VA—ventroanal distance (cm); pl1—peduncle length (cm); H—body height (cm); h—peduncle height (cm); SC—body thickness (cm); GC—body circumference (cm); and Cc—peduncle circumference (cm). These measurements were taken from the same sample of fish at five different time points, all belonging to the same generation and approximately the same age. Measurements were taken every 3 to 9 months: 1 y (group G1), 1 y. 5 m. (group G2), 2 y. 2 m. (group G3), 2 y. 5 m. (group G4), 3 y. 2 m. (group G5), and 3 y. 5 m. (group G6). To evaluate the rate of growth and development, relative speed of growth (SGR) and relative speed of lengthening (SLR) during the observation period were determined. To characterize the fish’s exterior, we evaluated Fulton’s condition factor (KF) and the leanness index (Q). With increasing age, there was a significant (p < 0.01) decline in both SGR (from 0.454 to 0.065 g%/day) and SLR (from 0.132 to 0.028 cm%/day), which reflects changes in the fish’s physiological processes tied to the transition from the growth phase to the puberty phase. Relatively large variability was observed in body weight (C_v = 19.7–30.4%) compared to morphological measurements (C_v = 5.7–14.9%). Correlations between morphological measurements and the body weight of the fish varied from low to high (r = 0.22–0.97). Equations that allow for very precise (coefficient of determination R² = 0.800–0.933) estimation of the fish’s body weight based on morphological measurements were developed. The most preferable predictors were measurements of H (R² = 0.931), SC (R² = 0.933), and L2 (R² = 0.930). These morphological measurements are promising candidates for future development of contactless live weight detection using computer vision and machine learning algorithms. The study of live weight conjugacy at different ages showed that the best time to use this measurement to select fish for reproduction is at the age of 2 y. 2 m. or older. Acquired data can be used for the development and improvement of programs for the selection and breeding of Siberian sturgeon grown in a recirculating aquaculture system. Full article

Background: This study investigated associations between anthropometric characteristics, postural deviations, musculoskeletal and visceral symptoms, and squat movement quality to clarify how individual physical attributes and symptom profiles influence fundamental movement performance. Method(s): A cross-sectional observational study recruited adults aged 18–65 who could ambulate without pain. Anthropometric and body composition measures were collected. Standardized posture images and multi-angle squat videos were obtained, and visual classifications of posture and squat technique were conducted using predefined criteria. Descriptive statistics characterized the sample, and multivariable logistic regression with LASSO regularization examined associations between demographic, postural, and symptom variables and binary squat outcomes. Results: Two hundred participants (57.5% female; median age 26 years) were included. Males showed higher stature, lean mass, and waist circumference, whereas females exhibited higher body fat and reported more neck pain and headaches. Forward head posture was common (62%), while women demonstrated more favorable upper-body alignment. Most participants maintained neutral lumbar posture and grounded heels during squats, with sex differences in foot rotation and knee path. Higher fat mass predicted reduced squat depth (OR = 1.06, 95% CI: 1.00 to 1.11, p = 0.033); heel lift and absent forward knee movement were associated with better spinal neutrality (OR = 0.07 and 0.18, both p ≤ 0.002); and low skeletal muscle mass (OR = 0.87, 95% CI: 0.79 to 0.95, p = 0.004) and heel lift (OR = 7.09, 95% CI: 1.86 to 26.2, p = 0.003) predicted suboptimal knee tracking. Only 8% achieved a fully “perfect” squat. Conclusion(s): Suboptimal squat mechanics were linked to higher fat mass, lower skeletal muscle mass, and compensatory lower-limb strategies, suggesting that squat quality reflects an interaction among body composition, posture, and motor control rather than any single demographic or anthropometric factor. Full article

Background: Very Low Birth Weight preterm infants are at elevated risk for disrupted brain growth and later neurodevelopmental impairment. Bedside-accessible tools for monitoring cerebral development remain limited. Methods: In this retrospective pilot cohort study, 153 Very Low Birth Weight infants (<32 weeks gestational age and/or <1500 g) from two Level III Neonatal Intensive Care Units underwent serial cranial ultrasound assessments. Total brain volume was estimated using an ellipsoid formula derived from standardized imaging planes. Growth trajectories were analysed via linear mixed-effects modelling. Associations with clinical predictors—including invasive ventilation, sepsis, and somatic growth—were evaluated. Results: A total of 976 brain volume measurements were collected. Median cerebral volume increased from 164 cm³ to 275 cm³ across the hospital stay, corresponding to a median growth rate of 2.3 cm³/day (95% CI: 1.5–3.1). Duration of invasive mechanical ventilation was associated with reduced cerebral growth (p < 0.01, R² = 0.26). Cerebral volume growth showed a weak but statistically significant correlation with head circumference percentile progression (p < 0.05, ρ = 0.16). Conclusions: Sonographic brain volumetry is a feasible and non-invasive method for tracking cerebral development in Very Low Birth Weight infants. These findings confirm significant associations between cerebral growth and head growth and identify prolonged invasive ventilation as a risk factor for impaired cerebral development. Full article

Background: Microplastics and nanoplastics, as pervasive and persistent environmental pollutants, are raising growing concerns regarding their potential risks to reproductive health, particularly pregnancy outcomes. Although the reproductive toxicity of polystyrene nanoplastics (PS-NPs) has been reported, the specific mechanisms underlying their effects on placental development and offspring health following gestational exposure remain unclear. Method: This study aimed to investigate the effects of gestational exposure to PS-NPs of different sizes (50 and 200 nm) and concentrations (1, 3, and 10 mg/mL) on placental function and embryonic development in ICR mice. An exposure model was established via tail vein injection, and samples were collected on embryonic Day 14.5 (E14.5). Results: the exposed groups tended towards increased embryo weight, embryo length, and embryo head circumference. Transcriptomic analysis revealed that PS-NP exposure significantly downregulated the expression of Ndufa5 (a subunit of mitochondrial respiratory chain complex I) and mt-CO1 (a core subunit of complex IV), but upregulated the expression of the genes Cldn1 (tight junction protein) and Erbb3 (receptor tyrosine kinase) in the placenta. Differentially expressed genes were enriched primarily in pathways related to oxidative phosphorylation, the tricarboxylic acid (TCA) cycle, and ErbB signalling. Conclusions: These changes collectively led to decreased mitochondrial ATP production, increased oxidative stress in the placenta, and potentially altered placental barrier function and trophoblast cell proliferation signalling. This study reveals a novel mechanism by which PS-NPs disrupt placental development and embryonic growth through impairment of placental energy metabolic homeostasis and key signalling pathways, thus providing crucial experimental evidence for assessing the reproductive and developmental toxicity of nanoplastics. Full article

Background/Objectives: Lifestyle modification is a cornerstone of obesity and metabolic syndrome (MetS) management, yet pharmacological agents are increasingly prescribed in the treatment of these highly prevalent issues. This meta-analysis compared the effects of diet-only, exercise-only, combined diet + exercise, and pharmacological interventions on MetS severity (MetS z-score) and related cardiometabolic outcomes in adults with overweight or obesity. Methods: A systematic search of relevant databases identified eligible studies published up to October 2025. Random-effects meta-analyses were conducted for pooled pre–post changes within intervention types and, where available, intervention-versus-control and head-to-head comparisons. Results: Forty-six studies comprising 85 intervention arms and 12,128 participants were included. Significant reductions in pooled MetS z-scores were observed following diet-only (−0.72 units; 17 arms), exercise-only (−0.63 units; 40 arms), diet + exercise (−0.68 units; 23 arms), and pharmacological interventions (−0.30 units; 5 arms) (all p < 0.001). Compared with controls, exercise-only reduced MetS z-score by −0.68 units (21 arms), and diet + exercise by −0.45 units (6 arms) (both p < 0.001), whereas pharmacotherapy showed no significant effect (−0.07 units; 5 arms; p = 0.134). Direct comparisons demonstrated that combined diet + exercise achieved greater MetS z-score reductions than diet-only (−0.75 units; 10 arms, p < 0.001). Moreover, lifestyle interventions consistently improved fasting glucose, triglycerides, HDL cholesterol, waist circumference, and blood pressure. Subgroup analyses identified caloric restriction as a key dietary moderator for cardiometabolic improvements, and meta-regression revealed exercise volume as a predictor of MetS z-score decrease. Conclusions: All intervention types improved cardiometabolic risk, but lifestyle strategies—particularly diet + exercise—demonstrated the most consistent and robust effects. While contemporary pharmacological therapies are known to induce substantial weight loss, their effects on overall cardiometabolic risk assessed by composite measures such as the MetS z-score remain insufficiently characterized, as most medication trials report single outcomes and frequently include concurrent lifestyle interventions. Therefore, there is a need for further trials evaluating the impact of anti-obesity medications on overall cardiometabolic health. Full article

Background/Objectives: Children born small for gestational age (SGA) are at increased risk for impaired growth, metabolic disturbances, and neurodevelopmental difficulties. Although previous research has examined cognitive and behavioral outcomes in this population, findings remain inconsistent. Moreover, limited evidence is available regarding the potential effects of recombinant human growth hormone (rhGH) therapy on cognitive development. We aimed to assess cognitive performance, emotional–behavioral functioning, and neonatal predictors of neurocognitive outcomes in term SGA children compared with age- and sex-matched peers born appropriate for gestational age (AGA). We also explored potential differences in cognitive outcomes between rhGH-treated and untreated SGA children. Methods: A total of 18 term SGA children and 23 AGA controls underwent anthropometric measurements, biochemical evaluation, cognitive testing using the Wechsler Intelligence Scale for Children—Fourth Edition (WISC-IV), and behavioral assessment through the Child Behavior Checklist (CBCL). Birth weight, length, and head circumference were analyzed as potential predictors of cognitive performance. Results: SGA children demonstrated significantly lower Intelligence Quotient (IQ) scores than AGA peers, with marked weaknesses in Perceptual Reasoning index (PRI) and Processing Speed index (PSI), while Verbal Comprehension and Working Memory were preserved. They also exhibited higher internalizing behavioral symptoms, whereas externalizing behaviors did not differ between groups. Birth head circumference emerged as a strong predictor of PRI and a modest predictor of PSI. No associations were found between rhGH treatment parameters and cognitive outcomes. Larger longitudinal studies are needed to clarify how early growth restriction affects brain development and cognition and whether GH therapy influences these processes. Full article

Background: The effect of intrauterine exposure to SARS-CoV-2 infection during pregnancy on neurodevelopment and growth trajectories during the first year of life remains under investigation. Methods: We retrospectively reviewed the electronic medical records of all pregnant women who received care at Mayo Health System and tested positive for SARS-CoV-2 (RT-PCR) from March 2020 through October 2021 and examined the effects of fetal sex and trimester of maternal SARS-CoV-2 infection on the risk of neurodevelopmental disorder diagnosis and growth trajectories of head circumference (HC) and body weight (BW) percentiles over the first year of life using linear mixed models. Results: We observed that a higher percentage of male infants (n = 357), compared to females (n = 344), have neurodevelopmental disorders (10.9% vs. 5.2%, p = 0.008), and infants exposed to maternal SARS-CoV-2 infection in the second (n = 183) or third trimester (n = 358) have a higher prevalence of neurological diagnoses compared to those exposed in the first trimester (n = 160) (1st vs. 2nd vs. 3rd trimester: 0% vs. 0.9% vs. 0.7%, respectively, p = 0.037). In addition, female infants, compared to males, had significantly lower BW (B = −0.04, p < 0.0001) and HC (B = −0.06, p < 0.0001) percentile growth trajectories over the first year of life. Moreover, infants exposed to maternal SARS-CoV-2 infection in the second trimester had a significantly lower BW percentile growth trajectory (B = −0.01, p = 0.006), while infants exposed to maternal SARS-CoV-2 infection in the third trimester had a significantly lower HC percentile growth trajectory (B = −0.02, p = 0.02). Conclusions: In utero exposure to maternal SARS-CoV-2 infection could have long-term effects on growth trajectories, depending on the infant’s sex and timing of exposure. Full article

Introduction: Human breast milk (HBM) is a critical source of nourishment for newborns, containing bioactive compounds that influence infant growth and metabolic programming. Among these compounds, leptin—a hormone primarily produced by adipocytes but also synthesized in the mammary gland—has gathered attention for its potential role in regulating energy balance and body weight. This study investigates the influence of maternal factors on HBM leptin concentrations and explores their associations with neonatal growth parameters. Material and Methods: 262 HBM samples were collected from healthy lactating mothers through Spanish Biobanks during the first six months postpartum. Data on maternal characteristics (body mass index (BMI), age, physical activity, parity, and delivery type) and neonatal measurements (weight, length, and head circumference) were collected. Leptin concentrations in skimmed HBM were measured using the ELISA technique (R&D Systems™, Minneapolis, MN, USA). Statistical analyses were conducted using R version 4.3.1 and MATLAB R2023a, with significance set at p < 0.05. Results: Leptin levels were highest in and declined over time, reaching a stable level after the first month of lactation. Preterm deliveries exhibited significantly higher leptin concentrations than term deliveries (0.42 vs. 0.07 ng/mL). Higher leptin levels were also observed in younger and primiparous mothers. Maternal BMI was positively associated with leptin concentration, with mothers who had elevated BMI showing higher levels than those with optimal BMI (0.36 vs. 0.05 ng/mL). Maternal physical activity was not associated with leptin concentrations in univariate analyses; although greater self-reported physical activity appeared associated with lower leptin concentrations in regression models, this finding should be interpreted cautiously and should not be considered evidence of an independent or consistent effect. Neonatal growth parameters (weight, length, and head circumference) were negatively correlated with HBM leptin concentrations. Conclusions: Our findings indicate that leptin levels in breast milk reflect both maternal metabolic status and neonatal characteristics and may represent a compensatory mechanism in preterm infants. HBM leptin levels are modulated by maternal BMI, age, parity, and delivery type, and are associated with neonatal growth parameters. Full article

Background/Objectives: To construct and compare multivariable prediction models for the early prediction of large-for-gestational-age (LGA) neonates, using ultrasound biometry and maternal characteristics. Methods: This retrospective cohort study analyzed data from singleton pregnancies that underwent routine ultrasound examinations at 30⁺⁰–34⁺⁰ weeks of gestation. Ultrasound parameters included fetal abdominal circumference (AC), head circumference (HC), femur length (FL), HC-to-AC ratio, mean uterine artery pulsatility index (mUtA-PI), and presence of polyhydramnios. LGA neonates were defined as those having a birthweight > 90th percentile. Logistic regression was used to evaluate associations between ultrasound markers and LGA after adjusting for the following maternal and pregnancy-related covariates: maternal age, body mass index, parity, gestational diabetes mellitus (GDM), pre-existing diabetes, previous cesarean section (PCS), assisted reproductive technology (ART) use, smoking, hypothyroidism, and chronic hypertension. Associations were expressed as adjusted odds ratios (aORs) with 95% confidence intervals (CIs). Three prognostic models were developed utilizing the following predictors: (i) biometric ultrasound measurements including AC, HC-to-AC ratio, FL, UtA-PI, and polyhydramnios (Model 1), (ii) a combination of biometric ultrasound measurements and clinical–maternal data (Model 2), and (iii) only the estimated fetal weight (EFW) (Model 3). Results: In total, 3808 singleton pregnancies were included in the analyses. The multivariable analysis revealed that AC (aOR 1.07, 95% CI [1.06, 1.08]), HC to AC (aOR 1.01, 95% CI [1.006, 1.01]), FL (aOR 1.01, 95% CI [1.009, 1.01]), and the presence of polyhydramnios (aOR 4.97, 95% CI [0.7, 58.8]) were associated with an increased risk of LGA, while a higher mUtA-PI was associated with a reduced risk (aOR 0.98, 95% CI [0.98, 0.99]). Maternal parameters, such as GDM, pre-existing diabetes, elevated pre-pregnancy BMI, absence of uterine artery notching, mUtA-PI, and multiparity, were significantly higher in the LGA group. Both models 1 and 2 showed similar performance (AUCs: 84.7% and 85.3%, respectively) and outperformed model 3 (AUC: 77.5%). Bootstrap and temporal validation indicated minimal overfitting and stable model performance, while decision curve analysis supported potential clinical utility. Conclusions: Models using biometric and Doppler ultrasound at 30–34 weeks demonstrated good discriminative ability for predicting LGA neonates, with an AUC up to 84.7%. Adding maternal characteristics did not significantly improve performance, while the biometric model performed better than EFW alone. Sensitivity at conventional thresholds was low but increased substantially when lower probability cut-offs were applied, illustrating the model’s threshold-dependent flexibility for early risk stratification in different clinical screening needs. Although decision curve analysis was performed to explore potential clinical utility, external validation and prospective assessment in clinical settings are still needed to confirm generalizability and to determine optimal decision thresholds for clinical application. Full article

Background/Objective: Accurate biological profile estimation from skeletal remains is fundamental to forensic identification. While the humerus demonstrates considerable sexual dimorphism, population-specific validation data for Thai populations remain limited. This study aimed to develop and independently validate population-specific equations for sex and stature estimation from humeral measurements in Northeastern Thai populations. Methods: This cross-sectional study examined 300 adult humeri (150 male, 150 female) from the Khon Kaen University skeletal collection. Four osteometric measurements (maximum length, midshaft circumference, epicondylar breadth, superior–inferior head diameter) and weight were recorded. The sample was randomly divided into development (n = 200) and validation (n = 100) datasets. Logistic regression for sex estimation and linear regression for stature estimation were developed using stepwise selection. Results: Sex classification achieved 93.5% accuracy in development and 93.0% in independent validation. The optimal model incorporated midshaft circumference, superior–inferior head diameter, and weight, with an area under the curve of 0.977 (95% CI: 0.953–1.000), sensitivity 90.0%, specificity 96.0%, and Cohen’s kappa 0.86. Stature estimation demonstrated a correlation coefficient of 0.81 with a mean absolute error of 4.36 cm (2.74% of the mean stature). Independent validation confirmed minimal performance deterioration for both models. Conclusions: These independently validated, population-specific equations provide accurate and reliable methods for biological profile estimation in Northeastern Thai forensic contexts. The rigorous validation framework supports confident operational application and provides a methodological model for developing regional forensic standards. Full article

Introduction: To explore whether antenatal and preoperative factors predict disability-free survival of preterm newborns with biventricular complex congenital heart defects (CHD). Methods: Retrospective cohort study, using the prospectively designed database of Complex Pediatric Therapies Follow Up Program and a chart review of mother–newborn dyads, born under 37 weeks’ gestation with biventricular complex CHD, between 1997 and 2019, who had open heart surgery up to 6 weeks corrected age. Surviving children had neurodevelopmental assessments between 18 and 24 months corrected age. Bayley Scales of Infant Development, 2nd edition, and Bayley Scales of Infant and Toddler Development, 3rd edition, assessed cognitive, language, and motor skills; Adaptive Behavior Assessment System, 3rd edition, assessed adaptive skills. Univariate and multivariate analyses assessed predictors of mortality, disability (cerebral palsy, visual impairment, permanent hearing loss), and neurodevelopmental delay. Results: Of 84 preterm newborns (34.6 ± 2.1 weeks’ gestation, 2321 ± 609 g, 57% males), 8 (9.5%) died by 2 years of age; 69 (91%) survived without and 7 (9%) with disability. Chorioamnionitis was associated with death [Hazard ratio 7.92 (95% CI 1.3, 33.3), p = 0.025]; prolonged rupture of membranes was associated with disability [Odds Ratio 9.7 (95% CI 1.99, 46.9), p = 0.005]. Maternal diabetes, antenatal diagnosis of CCHD, birth head circumference, cardiopulmonary resuscitation, and chromosomal anomalies were associated with adverse neurodevelopment. Conclusions: Chorioamnionitis and prolonged rupture of membranes are associated with worse outcomes in preterm newborns with biventricular complex CHD up to 2 years of age. Adverse neurodevelopmental outcomes are associated with maternal diabetes and antenatal diagnosis of CCHD. Prospective studies are needed to confirm these results. Full article

This study addresses the fabrication challenges associated with producing diverse geometries for concrete dry connections, particularly regarding cost, time, and geometric limitations. The research investigates methods for fabricating precise, rebar-free dry connections in concrete, focusing on stamping and green-state computer numerical control (CNC) milling. These methods are evaluated using metrics such as dimensional accuracy, tool abrasion, and energy consumption. In the stamping process, a design of experiments (DOE) approach varied water content, concrete age, stamping load, and operational factors (vibration and formwork) across cone, truncated cone, truncated pyramid, and pyramid geometries. An optimal age range of 90 to 105 min, within a broader operational window of 90 to 120 min, was identified. Geometry-specific exceptions, such as approximately 68 min for the truncated cone and 130 min for the pyramid, were attributed to interactions between shape and age rather than deviations from general guidance. Within the tested parameters, water fraction primarily influenced lateral geometric error (diameter or width), while age most significantly affected vertical error. For green-state milling, both extrusion- and shotcrete-printed stock were machined at 90 min, 1 day, and 1 week. From 90 min to 1 week, the total milling energy increased on average by about 35%, and at one week end-face (head) passes caused substantially higher tool wear, with mean circumference losses of about 3.2 mm for head engagement and about 1.0 mm for side passes. Tool abrasion and energy demand increased with curing time, and extrusion required marginally more energy at equivalent ages. Milling was conducted in two engagement modes: side (flank) and end-face (head), which were evaluated separately. End-face engagement resulted in substantially greater tool abrasion than side passes, providing a clear explanation for tolerance drift in final joint geometries. Additionally, soil-based forming, which involves imprinting the stamp into soft, oil-treated fine sand to create a reversible mold, produced high-fidelity replicas with clean release for intricate patterns. This approach offers a practical alternative where friction and demolding constraints limit the effectiveness of direct stamping. Full article

Background: Congenital disorders of glycosylation (CDG) are rare inborn errors of metabolism with multisystemic manifestations. SSR4-CDG is an ultra-rare X-linked subtype caused by pathogenic variants in SSR4, a component of the translocon-associated protein (TRAP) complex essential for protein translocation and N-glycosylation. Case presentation: We report a two-year-old Malaysian male presenting with global developmental delay, central hypotonia, microcephaly with complete agenesis of the corpus callosum, recurrent infections, bilateral vesicoureteral reflux, and failure to thrive. Growth parameters (weight, length, and head circumference) were persistently below the expected percentiles, indicating postnatal growth restriction. Initial metabolic and biochemical investigations for global developmental delay were unremarkable, apart from mild hyperammonemia. Transferrin isoform analysis demonstrated a type I CDG pattern, raising suspicion of a glycosylation defect. Results: Transferrin glycopeptide LC–MS/MS showed impaired N-glycan occupancy at both glycosylation sites (Asn432 and Asn630), with reduced fully sialylated glycoforms and increased non-glycosylated peptides. Targeted metabolomics using triple quadrupole LC–MS/MS revealed systemic abnormalities, including elevated arginine and phenylalanine, reduced glutamate, increased lysophosphatidylcholine (C24:0-LPC), and generalized depletion of free and acylcarnitines. Whole-exome sequencing identified a novel hemizygous SSR4 variant (c.98del; p.Pro33LeufsTer23) on the X chromosome, predicted to produce a truncated, nonfunctional protein. Conclusions: This is the first Malaysian patient with SSR4-CDG, comprehensively characterized using a multi-omics diagnostic workflow. The integration of glycoproteomics, metabolomics, and exome sequencing provided a detailed biochemical fingerprint that expands the clinical, genetic, and metabolic spectrum of SSR4-CDG and demonstrates the diagnostic and translational value of multi-omics approaches in inborn errors of metabolism. Full article

Background: Suboptimal growth velocity (GV)—weight < 15 g/kg/day, head circumference (HC) < 0.9 cm/week, and length < 1 cm/week—are related to neurodevelopmental problems. Comorbidities such as sepsis, patent ductus arteriosus, bronchopulmonary dysplasia, hemodynamic instability with use of inotropes, and necrotizing enterocolitis, among others, have been related to suboptimal GV. Therefore, this study aimed to evaluate GV in preterm newborns in the Neonatal Intensive Care Unit of a tertiary-level hospital in Mexico in the first 28 days of life and determine the main factors related to suboptimal GV. Methods: This was an observational, descriptive, retrospective, and longitudinal study. Thirty-one PNBs admitted to the NICU from March 2021 to February 2023 were included. Descriptive statistics were used for neonatal characteristics and factors. They were classified into group 1 (GV < 15 g/kg/day) and group 2 (>15 g/kg/day) and compared with Fisher’s exact test. Multivariate linear regression analysis was performed for factors related to suboptimal GV. Results: Among 31 preterm infants (mean GA 30 ± 3 weeks; birth weight 1241 ± 377 g), the mean growth velocity (GV) at 28 days was 16.5 ± 10 g/kg/day for weight (optimal), while length (0.7 ± 0.4 cm/week) and head circumference (0.41 ± 0.28 cm/week) remained suboptimal. Overall, 42% showed GV < 15 g/kg/day, and 58% achieved optimal GV. Multivariate analysis revealed that apnea of prematurity (β = –9.8; p = 0.023) and birth weight < 1000 g (β = –6.3; p = 0.026) were negatively associated with GV, whereas mixed feeding (breast milk + formula) had a positive effect (β = +6.3; p = 0.008). Conclusions: The 31 PNBs studied had a mean GV of optimal weight, and a mean GV of length and HC suboptimal to that suggested by the guidelines. The degree of low birth weight (LBW) and apnea of prematurity had a negative relationship with GV, while the type of feeding showed a positive relationship (p = 0.026, 0.023, and 0.008, respectively). Full article

Background/Objectives: Obstructive sleep apnea (OSA) during pregnancy may reduce maternal oxygenation, cause sleep fragmentation, and influence offspring development. This pilot study explored potential associations between OSA during pregnancy and child outcomes at age 3. Methods: Pregnant women aged 23–48 years who underwent home sleep apnea testing (HSAT) at 28–32 weeks of gestation between June 2021 and July 2025 were enrolled. OSA was defined as an apnea–hypopnea index (AHI) ≥ 5. Mothers and children were prospectively followed until the child reached 3 years of age. Children’s developmental levels (motor, cognitive/adaptive, language/social, and total) were evaluated using the New K-Type Developmental Test. Anthropometric measures (height, weight, and head circumference) and dental occlusion were also assessed. Correlations between the maternal AHI and developmental indices were examined. Results: Thirty-four women, including six with OSA, completed the follow-up assessment. No significant differences were observed in children’s physical growth or occlusion between the OSA and non-OSA groups. The maternal AHI showed a negative tendency with the total developmental index and the cognitive/adaptive and language/social domains. One participant with severe OSA (AHI = 69.3) showed markedly lower developmental scores, suggesting a possible dose-dependent trend rather than a definitive threshold. Given the small number of OSA cases and the influence of a single severe case, these findings should be interpreted cautiously as preliminary and descriptive. Conclusions: OSA during pregnancy may be associated with differences in early childhood development. The findings highlight the importance of maternal sleep health awareness and feasible screening approaches, such as HSAT, during pregnancy. Full article