Search Results (336)

Purpose: Our understanding of the influence of preterm birth and related perinatal exposures on early brain development is limited, hampering personalized optimization of neuroprotective strategies. This study assesses the effect of gestational age (GA) at birth on brain volumes at term-equivalent age (TEA) in infants without overt brain injury born across the GA spectrum. Methods: A cohort of infants born across the GA spectrum (25–40 weeks’ gestation) underwent 3T brain MRI around TEA (40–46 weeks postmenstrual age). Eight brain regions, intracranial and total tissue volumes were segmented using MANTiS (morphologically adaptive neonatal tissue segmentation toolbox). Segmentations were visually quality-checked and excluded if segmentation failed. Absolute TEA volume in relation to GA was assessed using univariate and multivariate (correction for postmenstrual age) linear regression analysis. Statistical significance was set at p < 0.05. Post hoc scatter plots of brain volumes relative to intracranial volumes were created. Results: Fifty infants were included (mean GA = 35.0 [SD = 3.3, range = 25.7–40.1] weeks). A higher GA at birth was significantly related to lower cerebrospinal fluid (p = 0.004) and amygdala (p = 0.02) volumes; no significant relation was found between GA and other volumes. Post hoc analyses showed positive trends between GA and several brain structures, including total brain tissue, cortical gray matter, deep gray matter, hippocampus, cerebellum and brainstem volumes. Conclusions: Our results suggest that GA has an effect on TEA brain volumes that is independent of brain lesions, with lower GA being associated with smaller brain tissue volumes and significantly larger cerebrospinal fluid volume. Preterm birth and related exposures may thus affect early brain growth and contribute to neurodevelopmental challenges encountered by preterm-born children. Full article

Monitoring position and movements of preterm infants is important to ensure their well-being and optimal development. This study evaluates the feasibility of a pressure-sensitive fiber-optic mattress (FM), made entirely of plastic, for two-dimensional analysis of preterm infant movements and positioning. Before clinical use, we developed a simple, replicable, and cost-effective test protocol to simulate infant movements and positions, enabling early identification of technical limitations. Using data from 20 preterm infants, we assessed the FM’s potential to monitor posture and limb motion. FM-derived pressure patterns were compared with camera-based manual annotations to distinguish between different positions and out-of-bed moments, as well as limb-specific movements. Bench-test results demonstrated the FM’s sensitivity to motion and pressure changes, supporting its use in preclinical validation. Clinical data confirmed the FM’s reliability in identifying infant positions and movement patterns, showing an accuracy comparable to camera annotations. However, limitations such as calibration, sensitivity to ambient light, and edge-related artifacts were noted, indicating areas for improvement. In conclusion, the test protocol proved effective for early-stage evaluation of smart mattress technologies. The FM showed promising clinical feasibility for non-obtrusive monitoring of preterm infants, though further optimization is needed for robust performance in neonatal care. Full article

Objective: To determine reference values of liver stiffness during the first week of extrauterine life in healthy newborns, according to gestational age, sex, and birth weight, using three elastography techniques: point shear wave elastography (pSWE) and two-dimensional shear wave elastography (2D-SWE) with convex and linear probes. Materials and Methods: This was a cross-sectional observational study conducted at a single center on a hospital-based cohort of 287 newborns between 24 and 42 weeks of gestation, admitted between January 2023 and May 2024. Cases with liver disease, significant neonatal morbidity, or technically invalid studies were excluded. Hepatic elastography was performed during the first week of life using pSWE and 2D-SWE with both convex and linear probes. Clinical and technical neonatal variables were recorded. Liver stiffness values were analyzed in relation to gestational age, birth weight, and sex. Linear regression models were applied to assess associations, considering p-values < 0.05 as statistically significant. Results: After applying exclusion criteria, valid liver stiffness measurements were obtained in 208 cases with pSWE, 224 with 2D-SWE (convex probe), and 222 with 2D-SWE (linear probe). A statistically significant inverse association between liver stiffness and gestational age (p < 0.03) was observed across all techniques except for 2D-SWE with the linear probe. Only 2D-SWE with the convex probe showed a significant association with birth weight. No significant differences were observed based on neonatal sex. The 2D-SWE technique with the convex probe demonstrated significantly shorter examination times compared to pSWE (p < 0.001). Conclusions: Neonatal liver stiffness measured by pSWE and 2D-SWE with a convex probe shows an inverse correlation with gestational age, potentially reflecting the structural and functional maturation of the liver. These techniques are safe, reliable, and provide useful information for distinguishing normal findings in preterm neonates from early hepatic pathology. The values obtained represent a valuable reference for clinical hepatic assessment in the neonatal period. Full article

Background: Artificial intelligence (AI) and machine learning (ML) have been reshaping maternal, fetal, neonatal, and reproductive healthcare by enhancing risk prediction, diagnostic accuracy, and operational efficiency across the perinatal continuum. However, no comprehensive synthesis has yet been published. Objective: To conduct a scoping review of reviews of AI/ML applications spanning reproductive, prenatal, postpartum, neonatal, and early child-development care. Methods: We searched PubMed, Embase, the Cochrane Library, Web of Science, and Scopus through April 2025. Two reviewers independently screened records, extracted data, and assessed methodological quality using AMSTAR 2 for systematic reviews, ROBIS for bias assessment, SANRA for narrative reviews, and JBI guidance for scoping reviews. Results: Thirty-nine reviews met our inclusion criteria. In preconception and fertility treatment, convolutional neural network-based platforms can identify viable embryos and key sperm parameters with over 90 percent accuracy, and machine-learning models can personalize follicle-stimulating hormone regimens to boost mature oocyte yield while reducing overall medication use. Digital sexual-health chatbots have enhanced patient education, pre-exposure prophylaxis adherence, and safer sexual behaviors, although data-privacy safeguards and bias mitigation remain priorities. During pregnancy, advanced deep-learning models can segment fetal anatomy on ultrasound images with more than 90 percent overlap compared to expert annotations and can detect anomalies with sensitivity exceeding 93 percent. Predictive biometric tools can estimate gestational age within one week with accuracy and fetal weight within approximately 190 g. In the postpartum period, AI-driven decision-support systems and conversational agents can facilitate early screening for depression and can guide follow-up care. Wearable sensors enable remote monitoring of maternal blood pressure and heart rate to support timely clinical intervention. Within neonatal care, the Heart Rate Observation (HeRO) system has reduced mortality among very low-birth-weight infants by roughly 20 percent, and additional AI models can predict neonatal sepsis, retinopathy of prematurity, and necrotizing enterocolitis with area-under-the-curve values above 0.80. From an operational standpoint, automated ultrasound workflows deliver biometric measurements at about 14 milliseconds per frame, and dynamic scheduling in IVF laboratories lowers staff workload and per-cycle costs. Home-monitoring platforms for pregnant women are associated with 7–11 percent reductions in maternal mortality and preeclampsia incidence. Despite these advances, most evidence derives from retrospective, single-center studies with limited external validation. Low-resource settings, especially in Sub-Saharan Africa, remain under-represented, and few AI solutions are fully embedded in electronic health records. Conclusions: AI holds transformative promise for perinatal care but will require prospective multicenter validation, equity-centered design, robust governance, transparent fairness audits, and seamless electronic health record integration to translate these innovations into routine practice and improve maternal and neonatal outcomes. Full article

Background: Preterm infants and their families face a challenging experience during their stay in the neonatal intensive care unit (NICU). Family-centered care emphasizes the importance of welcoming parents, involving them in their baby’s daily care, and supporting the development of parenting skills. NICU staff should support parents in understanding their baby’s needs and in strengthening the parent–infant bond. Although many tools outline what parents should learn, there is a limited structured framework to monitor their involvement in the infant’s care. Tracking parental participation in daily caregiving activities could support professionals in effectively guiding families, ensuring a smoother transition to discharge. Aims: The aim of this study was to evaluate the adherence to and effectiveness of a structured tool for parental involvement in the NICU. This tool serves several key purposes: to track the progression and timing of parents’ autonomy in caring for their baby, to support parents in building caregiving competencies before discharge, and to standardize the approach of NICU professionals in promoting both infant care and family engagement. Methods: A structured template form for documenting parental involvement (“together TO-CARE template”, TTCT) was integrated into the computerized chart adopted in the NICU of Modena. Nurses were asked to complete the TTCT at each shift. The template included the following assessment items: parental presence; type of contact with the baby (touch; voice; skin-to-skin); parental involvement in care activities (diaper changing; gavage feeding; bottle feeding; breast feeding); and level of autonomy in care (observer; supported by nurse; autonomous). We evaluated TTCT uploaded data for very low birth weight (VLBW) preterm infants admitted in the Modena NICU between 1 January 2023 and 31 December 2024. Staff compliance in filling out the TTCT was assessed. The timing at which parents achieved autonomy in different care tasks was also measured. Results: The TTCT was completed with an average of one entry per day, during the NICU stay. Parents reached full autonomy in diaper changing at a mean of 21.1 ± 15.3 days and in bottle feeding at a mean of 48.0 ± 22.4 days after admission. The mean length of hospitalization was 53 ± 38 days. Conclusions: The adoption of the TTCT in the NICU is feasible and should become a central component of care for preterm infants. It promotes family-centered care by addressing the needs of both the baby and the family. Encouraging early and progressive parental involvement enhances parenting skills, builds confidence, and may help reduce post-discharge complications and readmissions. Furthermore, the use of a standardized template aims to foster consistency among NICU staff, reduce disparities in care delivery, and strengthen the support provided to families of preterm infants. Full article

Background/Objectives: Caesarean section (CS) accounts for over 20% of global births and routinely involves perioperative antibiotic prophylaxis (PAP) to reduce surgical site infections. While the impact of such prophylaxis on neonatal microbiome development is well described, effects on the maternal gut microbiome remain underexplored. This systematic review synthesizes current evidence on how antibiotic prophylaxis during CS affects maternal gut microbiome composition and diversity—an underrepresented, but clinically relevant aspect of maternal–fetal medicine. Methods: A systematic literature search was conducted in Medline (PubMed), the Cochrane Library, and the WHO International Clinical Trials Registry Platform (ICTRP) through November 2024. Inclusion criteria were defined according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligible studies used molecular techniques to report maternal gut microbiome outcomes (alpha- and beta-diversity). The search concentrated on beta-lactam antibiotics. Reference lists were screened, but no additional grey literature was searched. Synthesis followed the Synthesis Without meta-analysis (SWiM) approach. No review protocol was registered. The review received no external funding. Results: Out of 1011 records, three studies (total 286 mothers) met the inclusion criteria. All reported maternal microbiome outcomes secondarily to infant-focused research. Only one study provided pre- and post-birth stool samples. Applied antibiotic regimens, sequencing methods, and reported microbiome metrics for alpha- and beta-diversity varied considerably, thus limiting comparability of results. Due to high heterogeneity, no formal risk of bias was assessed. While taxonomic diversity changes were inconsistent, significant shifts in functional diversity metrics were observed postpartum. Conclusions: Evidence on maternal microbiome disruption following perioperative antibiotic prophylaxis in CS is methodologically fragmented and limited by small sample sizes and inconsistent antibiotic protocols. Nonetheless, functional diversity appears sensitive to antibiotic exposure. To improve clinical understanding and safety, maternal-focused studies using standardized protocols are urgently needed. The maternal microbiome may play a key role in both recovery and shaping the newborn’s early microbial environment. Full article

Background and Objectives: Gestational diabetes mellitus (GDM) is a major public health concern associated with adverse maternal and neonatal outcomes. It was found that even physiological pregnancy is followed by a significant shift in serum lipid profile, and even more pronounced in GDM pregnancies. We aimed to comprehensively assess lipid parameters among pregnant women with and without GDM. Materials and Methods: A systematic review, covering PubMed, WoS, and SCOPUS until 23 July 2024, with meta-analysis and meta-regression, was conducted, comprising studies measuring TG, TC, LDL-C, HDL-C, VLDL-C, and TG/HDL ratio in pregnant women diagnosed with GDM, and those with normal glucose tolerance. The overall effect size measure was the SMD. NOS and JADAD scales were used for quality assessment, I² statistics for heterogeneity evaluation, and funnel plots for publication bias inspection. Results: A total of 457 studies were included in the qualitative analysis, and 74, 277, and 122 studies were included in the quantitative analysis for the 1st 2nd, and 3rd trimester, respectively. TG and TG/HDL levels were significantly elevated in all three trimesters (TG: SMD = 0.61, 0.57, and 0.48, p < 0.001 for all, and TG/HDL: SMD = 0.44, 0.66, and 0.49; p < 0.001 for all), while TC and LDL-C levels showed significant increases in the 1st and 2nd trimesters (TC: SMD = 0.38, 0.27, p < 0.001 for both, LDL-C: SMD = 0.33, 0.20, p < 0.001 for both), in pregnant women with GDM compared to those without the condition. Conclusions: GDM is associated with significant lipid abnormalities, particularly elevated TG and decreased HDL-C levels. These lipid changes are most pronounced in the first and second trimesters, highlighting the importance of early detection and management. Full article

Background: Anemia and preeclampsia are common and independently associated with adverse neonatal outcomes. Their combined effect, however, remains insufficiently explored. This study aims to evaluate the impact of second-trimester maternal anemia on neonatal outcomes in pregnancies complicated by preeclampsia, and to assess its predictive value for preterm birth and NICU admission. Methods: We conducted a retrospective cohort study including 3517 singleton births from a Romanian tertiary maternity hospital between October 2023 and December 2024. A total of 295 preeclamptic pregnancies were stratified by anemia severity (none, mild, moderate-to-severe) and compared with 428 matched non-preeclamptic anemic pregnancies matched by closest-neighbor selection. Neonatal outcomes included birthweight, gestational age, anthropometric parameters, Apgar score, preterm birth, and NICU admission. Logistic regression and ROC curve analysis were performed using anemia severity as a predictor. Results: Moderate-to-severe anemia in preeclamptic pregnancies was associated with significantly lower birthweight (2618 ± 461 g), shorter gestational age (36.6 ± 2.0 weeks), and higher preterm birth (41.1%) and NICU admission rates (40.0%) were compared to non-anemic counterparts. Each increase in anemia severity conferred 84% higher odds of preterm delivery (OR = 1.84; AUC = 0.63) and a 49% increase in NICU admission (OR = 1.49; AUC = 0.58). Youden’s indices were 0.25 and 0.14, respectively. Conclusions: Maternal anemia is associated with increased neonatal morbidity in preeclamptic pregnancies, with moderate predictive value for preterm birth. These findings support the integration of early anemia screening and risk stratification into hypertensive pregnancy protocols to improve perinatal outcomes. Full article

Background/Objectives: Infantile hemangioma (IH) is a common vascular tumor in neonates, influenced by multiple prenatal and perinatal factors. This study aimed to identify risk factors in both infants and mothers, assess their link to clinical characteristics and severity, and evaluate treatment outcomes when systemic propranolol therapy was administered. Methods: We conducted a retrospective observational study analyzing 43 infants under 12 months, including 11 neonates (<28 days) diagnosed with IH. Maternal and neonatal factors, diagnostic timelines, clinical presentation, and treatment efficacy were examined. Data analysis included descriptive statistics, focusing on gestational age, birth weight, Apgar scores, and the Infantile Hemangioma Referral Score (IHReS). Results: The study found a female predominance and a correlation between IH and pre-term birth (50%) and low birth weight (<2760 g, 51.16%). Maternal anemia (23%) and gestational hypertension (9%) were present in the cohort, but no statistical association with IH severity was found. A significant number (44.18%) were diagnosed within the first two weeks postpartum. The IHReS was inversely correlated with Apgar scores, with newborns scoring above 8 having a lower IHReS. Treatment with propranolol (1–3 mg/kg/day) was highly effective, resulting in significant lesion regression in most patients. Mild complications included sleep disturbances (12%) and diarrhea (9%). The most affected areas were the face/eyelid (32.55%), limbs (18.6%), and anterior thorax. Additionally, 42% of cases had an IHReS above 4, with multiple hemangiomas increasing severity. Conclusions: IH was common in pre-term and low-birth-weight infants, whereas the maternal comorbidities observed in this small cohort did not show a definitive association, underscoring the need for controlled studies. Early diagnosis, risk stratification, and timely propranolol therapy are crucial in achieving favorable outcomes. Further research is needed to assess long-term effects and evaluate risks of treatment rebound. Full article

Objectives: Pulmonary hypertension and hemodynamically significant PDA (hsPDA) involve seemingly opposite physiological features—decreased pulmonary blood flow and pulmonary overcirculation, respectively—but the literature demonstrates variable respiratory consequences in association with each of these morbidities. The aim of this study is to evaluate whether the two factors representing pulmonary circulation provide different contributions to respiratory outcomes in preterm infants with and without pulmonary hypoplasia. Methods: The medical records of preterm very low birth weight (VLBW) infants admitted to our unit during the study period from January 2013 to December 2020 were retrospectively reviewed. Preterm VLBW infants were divided into groups according to the presence of presumed pulmonary hypoplasia (PPH). Multivariable logistic regression analysis was performed to assess the association of PPH and pulmonary hypertension or delayed PDA closure with in-hospital outcomes. Results: Postnatal age at final treatment for PDA was significantly later [median 33 vs. 19 days, p = 0.025] in the PPH group. Multivariable analysis indicated that early pulmonary hypertension was significantly associated with neonatal death [aOR (95%CI) 11.575 (2.988–44.833) for no-PPH vs. 9.981 (1.334–74.647) for PPH]. Delayed PDA closure was associated with increased odds of adverse respiratory and composite outcomes [aOR (95%CI) 4.929 (1.613–15.055) and 3.320 (1.048–10.515), respectively] but decreased odds of neonatal death in the no-PPH group. However, Cox proportional hazards models did not demonstrate statistically significant associations for PPH, early pulmonary hypertension, or delayed PDA closure with mortality, likely due to time-varying effects and the absence of death events in the subgroup of infants with both PPH and delayed PDA closure. Conclusions: PPH is associated with a higher prevalence of air leak syndrome and pulmonary hypertension. Delayed PDA closure exerts different effects on respiratory outcomes in preterm VLBW infants with and without PPH. Although early pulmonary hypertension appears to be a key circulatory factor contributing to neonatal death, its effect may vary over time. These findings underscore the importance of accounting for time-dependent effects when interpreting pulmonary circulatory risk factors in clinical practice. Full article

To assess the association between known (PlGF, sFlt-1, betaHCG, PAPPA) and novel (cell-free DNA, cfDNA, and total endothelial and platelet microvesicles, MVs) maternal blood biomarkers measured at the first trimester with the later development of preeclampsia (PE) and PE-related severe adverse events (SAE), we conducted a retrospective case–control study including women with an established diagnosis of preeclampsia (cases) and healthy pregnant women (controls). Biomarkers were measured from first-trimester blood samples stored in a hospital biobank. A total of 89 women, 54 women with PE and 35 controls were included. PlGF showed good performance for diagnosing overall preeclampsia (AUC: 0.71; 95% CI 0.59–0.82), early-onset preeclampsia (AUC 0.80; 95% CI 0.68–0.9) and fetal-neonatal SAEs (AUC: 0.73; 95% CI 0.63–0.84). Multivariate models including clinical variables, PlGF and other biomarkers showed good to very good discrimination for the development of PE, early-onset PE and fetal-neonatal SAEs (AUCs of 0.87, 0.89 and 0.79, respectively). Platelet-derived MVs were the best isolated biomarker for late-onset PE and, combined with systolic blood pressure, showed good discrimination (AUC: 0.81; 95% CI 0.71–0.92). For maternal SAEs, a model incorporating cfDNA and sFlt-1 provided excellent discrimination (AUC 0.92; 95% CI 0.82–1.00). Our findings suggest that multivariate models incorporating both clinical variables and first-trimester biomarkers may improve risk stratification for PE, especially for late-onset PE and for identifying women at risk of severe maternal or fetal complications. Notably, the inclusion of novel biomarkers such as cfDNA and MVs added value in clinical scenarios where the predictive performance of existing tools remains suboptimal. Full article

Background/Objectives: As the incidence of diabetes mellitus (DM) is increasing rapidly worldwide, it is anticipated that an increasing number of women will enter pregnancy with pregestational diabetes mellitus (PGDM) in the future. Compelling evidence suggests that hyperglycemia in pregnancy is related to multiple adverse perinatal outcomes. This systematic review and meta-analysis aims to assess and quantify the association of PGDM with a range of adverse perinatal outcomes, providing a comprehensive understanding of its impact on pregnancy. Methods: The data sources of this systematic review and meta-analysis were Medline/PubMed, Scopus and Cochrane Library (January 1999 to August 2023), complemented by hand-searching for additional references. Observational studies reporting perinatal outcomes of pregnancies with PGDM diagnosed before pregnancy versus control pregnancies were eligible for inclusion. A systematic review and meta-analysis were conducted as per the PRISMA guidelines. Pooled estimate odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to determine the risk of adverse pregnancy outcomes between PGDM and control pregnancies. Results: The systematic search of the literature yielded 81 observational studies meeting inclusion criteria and in total, 137,237,640 pregnancies were included in the analysis. A total of 19 adverse perinatal outcomes were assessed, revealing a significant association with PGDM. In pregnancies with PGDM there was an increased risk of adverse perinatal outcomes, including gestational hypertension (OR 3.16, 95% CI 2.65–3.77), preeclampsia (OR 4.46, 95% CI 3.94–5.05), preterm delivery (OR 3.46, 95% CI 3.06–3.91), cesarean delivery (OR 3.12, 95% CI 2.81–3.47), induction of labor (OR 2.92, 95% CI 2.35–3.63), macrosomia (OR 2.23, 95% CI 1.76–2.83), LGA neonates (OR 3.95, 95% CI 3.47–4.49), low 5-min Apgar score (OR 2.49, 95% CI 2.07–2.99), shoulder dystocia (OR 3.05, 95% CI 2.07–4.50), birth trauma (OR 1.40, 95% CI 1.22–1.62), polyhydramnios (OR 5.06, 95% CI 4.33–5.91), oligohydramnios (OR 1.61, 95% CI 1.19–2.17), neonatal hyperbilirubinemia (OR 3.45, 95% CI 2.51–4.74), neonatal hypoglycemia (OR 19.19, 95% CI 2.78–132.61), neonatal intensive care unit (NICU) admission (OR 4.54, 95% CI 3.87–5.34), congenital malformations (OR 2.44, 95% CI 1.96–3.04), stillbirth (OR 2.87, 95% CI 2.27–3.63) and perinatal mortality (OR 2.94, 95% CI 2.18–3.98). Subgroup analyses indicated a higher risk of neonatal hypoglycemia, stillbirth and perinatal mortality in T1DM pregnancies compared with T2DM pregnancies. Conclusions: This study provides a robust synthesis of evidence underlying the strong association between PGDM and several adverse perinatal outcomes. Early detection, optimal glycemic control during the periconceptional and pregnancy periods, and proper antenatal care are critical to mitigate these risks. Full article

Perinatal depression is one of the most common mental illnesses in women. The aim of this study was to assess the association of life stressors, perceived stress, obstetric and neonatal complications, and depressive symptoms in the early postpartum period and to compare these variables in two groups of women (preterm and term deliveries). Methods: A case–control study was conducted among 300 women who gave birth in 2019 at the University of Szeged. Cases included women with preterm deliveries (<37 weeks, n = 100), and the controls included women with term deliveries (≥37 weeks, n = 200). Data were collected during postpartum hospital stays through a self-administered questionnaire (containing validated questionnaires: the Holmes–Rahe Life Stress Inventory, the Perceived Stress Scale (PSS-14), and the Edinburgh Postnatal Depression Scale (EPDS)) and the medical records of women and newborns. A descriptive statistical analysis and logistic regression were used to identify predictors of high EPDS scores (≥10). Results: Perceived stress levels were significantly higher among cases than controls (p < 0.001). Higher perceived stress was associated with a higher risk of depression in cases (OR: 1.31, 95% CI: 1.17–1.48, p < 0.001) and controls (OR: 1.33, 95% CI: 1.21–1.45, p < 0.001), too. Newborn complications were associated with an increased perinatal depression risk in the controls (OR: 2.48, 95% CI: 1.05–5.91; p = 0.039) but not in the cases (OR: 2.79, 95% CI: 0.79–9.85; p = 0.111). It is supposed that premature birth was stressful itself, and women with preterm babies were less sensitive to any complications occurring in their newborns compared to women with term newborns. Neither maternal age, education, nor obstetric complications predicted depressive symptoms. Conclusions: Our findings highlight the impact of maternal perceived stress and newborns’ health status on the risk of developing depression during the early postpartum period. These results emphasize the need for ongoing screening and follow-up measures, especially for women with higher EPDS scores. Full article

Background: Traditional neonatal assessments rely on anthropometric measures such as weight, body size, and head circumference. However, recent studies suggest that objective movement quantification may serve as a complementary clinical indicator of development in preterm infants. Methods: This study evaluates non-invasive computer vision-based quantification of neonatal movement using contactless pose tracking based on computer vision. We analyzed approximately 800,000 postural data points from ten preterm infants to identify reliable algorithms, optimal recording duration, and whether whole-body or regional tracking is sufficient. Results: Our findings show that 30 s video segments are adequate for consistent motion quantification. Optical flow methods produced inconsistent results, while distance-based algorithms—particularly Chebyshev and Minkowski—offered greater stability, with coefficients of variation of 5.46% and 6.40% in whole-body analysis. Additionally, Minkowski and Mahalanobis metrics applied to the lower body yielded results similar to full-body tracking, with minimal differences of 0.89% and 1%. Conclusions: The results demonstrate that neonatal movement can be quantified objectively and without physical contact using computer vision techniques and reliable computational methods. This approach may serve as a complementary clinical indicator of neonatal progression, alongside conventional measures such as weight and size, with applications in continuous monitoring and early clinical decision-making for preterm infants. Full article

Salivary cortisol is widely used to assess stress and circadian rhythms, yet its control variables in neonates, particularly regarding postnatal age, remain poorly understood. To elucidate age-specific effects of clinical variables on cortisol levels, 91 neonates with a mean (standard deviation) gestational age of 34.2 (3.8) weeks and postnatal age of 38.3 (35.4) days were categorised into Early, Medium, and Late groups by quartiles (days 10 and 56). Interactions with postnatal age were evaluated by comparing Early-to-Medium or Early-to-Late differences in regression coefficients between independent variables and cortisol levels. In the whole cohort, maternal hypertensive disorders of pregnancy and morning sampling were associated with reduced cortisol levels (both p = 0.001). Mean regression coefficients (95% CI) between variables and cortisol levels were as follows: for postconceptional age, Early, −0.102 (−0.215, 0.010) and Late, 0.065 (−0.203, 0.332) (p = 0.035); for feeding duration, Early, 0.796 (−0.134, 1.727) and Late, −0.702 (−2.778, 1.376) (p = 0.010); for time elapsed since feeding, Early, −0.748 (−1.275, −0.221) and Late, −0.071 (−1.230, 1.088) (p = 0.036); and for blood lactate, Early, 0.086 (0.048 to 0.124), Medium, 0.022 (−0.063, 0.108), and Late, −0.018 (−0.106, 0.070) (p = 0.008 and <0.001 vs. Medium and Late, respectively). The influence of postconceptional age, oral feeding, and anaerobic metabolism on salivary cortisol levels was observed during the birth transition period but not beyond 10 days of life. Given the age-specific dependence of cortisol levels on clinical variables, including postconceptional age, feeding, and oxygen metabolism, caution is warranted when interpreting findings from studies on salivary cortisol in newborn infants. Full article