Neonatal Early Onset Sepsis: Impact of Kaiser Calculator in an Italian Tertiary Perinatal Center.

BACKGROUND: Suspected early-onset sepsis (EOS) results in antibiotic treatment and blood withdraw of a substantial number of neonates who are uninfected. We evaluated if the EOS calculator can reduce antibiotic exposure and invasive procedures for suspected EOS in term and late preterm neonates, without any significant increase in adverse outcomes. METHODS: The proportion of EOS risk in neonates ≥35 weeks gestation exposed to antibiotics, intensive monitoring and blood withdrawal was compared between a baseline period (January 2018-May 2018), when Centers for Disease Control guidelines approach was used, and a post-EOS calculator-implementation period (June 2018-December 2019). RESULTS: We included 4363 newborn infants with gestational age ≥35 weeks, respectively 824 in baseline period and 3539 in the EOS calculator period. Among them, 1021 (23.4%) infants presented risk factors for neonatal sepsis. There was a halving in empirical antibiotics exposure: 3% in the baseline and 1.4% in the post-EOS-implementation period, P < 0.05. Blood culture and laboratory evaluations had fallen from 30.6% to 15.4% (P < 0.05). Close monitoring of vital parameters decreased from 25.4% to 4.8% (P < 0.05). The number of antibiotic days per 100 live births decreased from 15.05 to 6.36 days (P <0.05). The incidence of culture-confirmed sepsis and clinical sepsis was very low in 2 periods. Only one infant identified at low-risk by Kaiser calculator at birth developed symptoms after 12 h from birth. We had no readmissions for EOS. CONCLUSIONS: Application of the EOS calculator more than halved the burden of intensive monitoring and antibiotic exposure, without compromising safety in a population with a relatively low incidence of culture-proven EOS and good access to follow-up care.

Delayed Cord Clamping versus Early Cord Clamping in Elective Cesarean Section: A Randomized Controlled Trial.

BACKGROUND: Delaying cord clamping is recommended in order to assure placental transfusion. However, the evidence on cord management in elective cesarean section (CS) is limited. OBJECTIVE: To compare delayed cord clamping (DCC) with early cord clamping (ECC) with regard to postnatal adaptation in neonates born through elective CS. METHODS: All neonates born ≥39 weeks' gestation born through elective CS were assigned to either the DCC or the ECC arm at a 1:1 ratio according to a computer-generated, randomized sequence. The primary outcome was the hematocrit at day 2 of life. Secondary outcomes included: preductal oxygen saturation and heart rate during the first 10 min of life; transcutaneous bilirubin at day 3; and neonatal blood pressures in the first 3 days of life. Additional outcomes included: time to first spontaneous breath; temperature at admission to normal nursery; weight at discharge; and maternal blood losses. RESULTS: Eighty neonates were randomized to the DCC (n = 40) or the ECC (n = 40) arm. The hematocrit at day 2 was significantly higher in the DCC arm than in the ECC arm (mean difference: 6%; 95% CI 3-8; p < 0.0001). The secondary outcome measures were not statistically different between the two arms. No infants needed phototherapy for hyperbilirubinemia during their hospital stay. CONCLUSIONS: Delaying cord clamping beyond 60 s increases the hematocrit at day 2 in neonates born through elective CS, without affecting maternal blood losses. Our findings suggest that DCC should be recommended in elective CS, but further studies are warranted to assess long-term outcomes.

Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM). STUDY DESIGN: We retrospectively analyzed CGM traces obtained from 50 very preterm neonates, grouped into two sub-cohorts started on CGM within 12 and 48 h of birth, respectively. A CGM linked to an Artificial Intelligence Risk (CLAIR) index was developed to quantify glucose variability during the first 72 h of life in neonates with and without IVH. Brain-US was performed at least twice a day for the first 5 days of birth. An integrated remote monitoring platform was developed to capture major clinical events in real time and gather data for the risk index. The new score performance was further compared with other measures of glucose variability (coefficient of variation [CV] and standard deviation [SD]) and with a clinical risk index for babies II (CRIB-II) as a predictor of IVH event. The two cohorts were analyzed separately for internal validation of the method. RESULTS: The primary cohort consisted of 26 neonates (gestational age 30 [28, 31] weeks; BW1275 g[1090, 1750]). Controls (n = 23) exhibited higher CLAIR index than cases (P = 0.004). A cut-off of 0.69 for the new CLAIR index allowed a 100% sensitivity and an 83% specificity for IVH prediction. The CLAIR index was the sole significant predictor for IVH (P = 0.003) when compared with clinical variables, CV, SD, and CRIB-II. In a subgroup analysis in very low-birth-weight infants, the CLAIR index was the sole variable significantly associated with IVH (P = 0.009). Analysis on the secondary cohort (five cases and 16 controls) confirmed a higher CLAIR index in the controls (P = 0.008), in the absence of a difference for CV, SD, and CRIB-II between the two groups. CONCLUSION: CGM, combined with the AI-algorithm, provides a high-sensitivity index for risk detection of IVH that reflects the glycemic impairment preceding IVH.

Vaccine effectiveness against severe laboratory-confirmed influenza in children: results of two consecutive seasons in Italy.

OBJECTIVE: To evaluate the effectiveness of seasonal influenza vaccine in preventing Emergency Department (ED) visits and hospitalisations for influenza like illness (ILI) in children. METHODS: We conducted a test negative case-control study during the 2011-2012 and 2012-2013 influenza seasons. Eleven paediatric hospital/wards in seven Italian regions participated in the study. Consecutive children visiting the ED with an ILI, as diagnosed by the doctor according to the European Centre for Disease Control case definition, were eligible for the study. Data were collected from trained pharmacists/physicians by interviewing parents during the ED visit (or hospital admission) of their children. An influenza microbiological test (RT-PCR) was carried out in all children. RESULTS: Seven-hundred and four children, from 6 months to 16 years of age, were enrolled: 262 children tested positive for one of the influenza viruses (cases) and 442 tested negative (controls). Cases were older than controls (median age 46 vs. 29 months), though with a similar prevalence of chronic conditions. Only 25 children (4%) were vaccinated in the study period. The overall age-adjusted vaccine effectiveness (VE) was 38% (95% confidence interval -52% to 75%). A higher VE was estimated for hospitalised children (53%; 95% confidence interval -45% to 85%). DISCUSSION: This study supports the effectiveness of the seasonal influenza vaccine in preventing visits to the EDs and hospitalisations for ILI in children, although the estimates were not statistically significant and with wide confidence intervals. Future systematic reviews of available data will provide more robust evidence for recommending influenza vaccination in children.