Relationship Between Frequency of Remote Visitation and Postpartum Depression in Mothers of Hospitalized Neonates During the COVID-19 Pandemic.

OBJECTIVE: To explore the relationship between symptoms of postpartum depression and the number of remote visitations among mothers of infants in the NICU. DESIGN: Retrospective cohort study. SETTING: NICU in a medical university in Iwate, Japan. PARTICIPANTS: A total of 89 mothers of infants who spent more than 1 month in the NICU from June 2021 to December 2022. METHODS: Participants completed the Edinburgh Postnatal Depression Scale (EPDS) at 4 days and 1 month after birth. We used a one-way analysis of variance with Tukey-Kramer or Games-Howell post hoc tests to examine differences in postpartum depression among three groups based on the frequency of remote visitation: frequent visitation, rare visitation, or no visitation. RESULTS: Of the 89 mothers, 41 scored 9 points or higher on the EPDS conducted 4 days after birth; among them, 14 did not visit, 13 rarely visited, and 14 frequently visited the NICU remotely through a web camera. The rare visitation group had significantly higher EPDS scores 1 month after birth (M = 9.7, SD = 5.2) than the frequent (M = 5.3, SD = 3.7) and no visitation (M = 5.1, SD = 4.2) groups (p < .05). The rare visitation group demonstrated lower improvement on the EPDS than the frequent and no visitation groups (nonsignificant). CONCLUSION: It is unclear whether remote visitation reduces symptoms of postpartum depression; however, the frequency of remote visitation could be assessed to identify at-risk mothers in need of social support.

Predictive ability of neonatal illness severity scores for early death in extremely premature infants.

BACKGROUND: The predictive ability of neonatal illness severity scores for mortality or morbidity in extremely premature infants has not been extensively studied. We aimed to evaluate the ability of neonatal illness severity scores [Clinical Risk Index for Babies II (CRIB II), Score for Neonatal Acute Physiology II (SNAP-II), and SNAP-Perinatal Extension II (SNAPPE-II)] in predicting mortality and short-term morbidity of extremely premature infants. METHODS: This retrospective study involved 171 infants with gestational age (GA) between 22 and 27 weeks who were admitted to the NICU during 2010-2017. Predictive ability of neonatal illness severity scores for mortality and short-term morbidity (bronchopulmonary dysplasia, retinopathy of prematurity, intraventricular hemorrhage, necrotizing enterocolitis, and gastrointestinal perforation) was assessed by comparing their area under the receiver operating characteristic curve. RESULTS: The overall mortality rate was 11.1%. Mortality at 23 weeks' gestation was higher than that at 24-27 weeks' gestation (p < .01, adjusted residual 4.5). Neonatal illness severity scores were significantly higher in infants who died than in those who survived (p < .01). CRIB II (AUC 0.93, 95% CI 0.85-1.00), SNAP-II (AUC 0.90, 95% CI 0.76-1.00), and SNAPPE-II (AUC 0.95, 95% CI 0.91-0.99) appeared to be excellent predictors and were superior to birth weight (AUC 0.88, 95% CI 0.80-0.95) or GA (AUC 0.84, 95% CI 0.72-0.96) alone in predicting early death (died on <28th postnatal day). CRIB II, SNAP-II, and SNAPPE-II were better predictors of early death than mortality in extremely premature infants. Neonatal illness severity score and short-term morbidity were not strongly associated. CONCLUSIONS: The neonatal illness severity scores were excellent predictors of early death in extremely premature infants and might be useful for selecting extremely preterm infants who need intervention.

Predictive Ability of Combined Factor Scores for Chromosomal Abnormalities in Pregnant Women With Polyhydramnios.

AIM: This study investigated factors that can predict chromosomal abnormalities in pregnant women with polyhydramnios. The ability of prenatal factors to predict chromosomal abnormalities was evaluated using receiver operator characteristic curves. METHODS: Of 76 eligible pregnant women, major anomalies were detected in 41 (54%) and chromosomal abnormalities in 19 (25%): trisomy 13 in one, trisomy 18 in 10, trisomy 21 in seven, and 22q11.2 deletion syndrome in one. Combined factor scores, including maternal age, major anomaly, abdominal circumference percentile, femur length percentile, and estimated fetal weight percentile, proved to be good predictors (area under the curve, 0.81-0.87) of chromosomal abnormalities and showed a sensitivity of 79% and specificity of 75%. CONCLUSION: Combined scores demonstrated more accuracy than individual factors for predicting chromosomal abnormalities. Even if an anomaly is not detected on fetal ultrasonography, in cases with higher scores, chromosomal abnormalities should be suspected, and delivery at a level III facility may be recommended.

Comparing risk factors associated with the late detection of critical congenital heart disease at different facility levels.

AIMS: Critical congenital heart disease (CCHD) requires surgery or catheter intervention within the first year of life; delayed diagnoses result in worsened outcomes. In Japan, there are few reports of delayed CCHD diagnosis. We investigated the diagnoses and factors associated with the late detection of CCHD. METHODS: This retrospective cohort study evaluated 88 CCHD infants admitted to a level IV facility. We compared the late detection rates across facility levels of neonatal care and CCHD characteristics. RESULTS: Critical congenital heart disease was identified prenatally in 46 (52%) infants: early (≤3 days postnatally) in 29 (33%) and late (≥4 days postnatally) in 13 (15%). The oxygen saturation of 27 of 29 infants with early detection and 7 of 13 infants with late detection was measured using pulse oximetry within 3 days postnatally. Factors associated with the late detection of CCHD were lack of clinical recognition of symptoms in five infants, referral to higher-level facilities after discharge in four infants, and definitive diagnosis not confirmed using echocardiography in four infants. The most common factors associated with late detection were referral to higher-level facilities after discharge in level I facilities and definitive diagnosis not confirmed using echocardiography in level II facilities. CONCLUSION: Critical congenital heart disease may require advanced knowledge and echocardiographic techniques for diagnosis. Pulse oximetry and telemedicine should also be incorporated in the diagnostic algorithm. Improvement in these factors might contribute to reducing the late detection of CCHD.