Objective To determine the incidence and risk factors for the development of retinopathy of prematurity (ROP) in the neonatal intensive care unit (NICU) of Hue Central Hospital, Vietnam. Methods A prospective study was performed in 214 preterm infants with gestational age (GA) ≤33 weeks and/or ≤1800 grams of birth weight (BW) or infants with a GA >33 weeks and a BW >1800 grams with an unstable clinical course who were screened for ROP in Hue Central Hospital, Vietnam. Results Fifty-eight infants (27.1%) developed ROP; 39.7% cases were stage 1, 34.5% cases were stage 2, and 25.8% cases were stage 3. Gestational age (GA), birth weight, anemia, sepsis, respiratory distress syndrome, total days on oxygen supplementation > 1 week, continuous positive airway pressure (CPAP), mechanical ventilation, blood transfusion, and surfactant had a significant association with ROP in univariate analysis (p<0.05). Using multivariate analysis, GA less than 32 weeks, sepsis, and CPAP/mechanical ventilation remained independent risk factors for ROP development. Conclusion The incidence of ROP in Vietnam was 27.1%. A GA less than 32 weeks, sepsis, and CPAP/mechanical ventilation are important risk factors for developing ROP.
Objective Neonatal sepsis remains a significant cause of morbidity and mortality in developing countries. This study aimed to contribute to the research on whether mean platelet volume (MPV) and platelet distribution width (PDW) can be used as diagnostic markers of early-onset neonatal infection (EONI). Methods This case-control study was conducted with 78 neonates diagnosed with EONI compared with 78 healthy controls in the neonatal care unit of the Hue University of Medicine and Pharmacy Hospital, Vietnam, from October 2021 to September 2022. All neonates were assessed for maternal risk factors and by clinical examination. The complete blood count including white blood cells, platelets, MPV, and PDW was performed before antibiotic treatment. Results A total of 156 neonates were included in the study. MPV and PDW were significantly higher in the EONI group (10.09 ± 0.65 fL and 10.66 ± 1.22%, respectively) compared to the control group (9.73 ± 0.75 fL and 10.19 ± 1.16%; P <.05). An MPV of 10.0 fL was determined as the predictive cut-off value for EONI (sensitivity 67.7%; specificity 69.2%; Area Under the Curve [AUC] 0.636; P =.003). A PDW of 11.2% was determined as the predictive cut-off value for EONI (sensitivity 63.3%; specificity 87.2%, AUC 0.603; P <.05). Conclusion The findings suggest that MPV and PDW can be considered adjuvant predictors along with WBC and PLT to establish the early diagnosis of EONI.
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