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Background Parechovirus A (PeV-A) is an important cause of sepsis and meningoencephalitis in neonates and young infants. Thus, identifying the source of PeV-A is essential for prevention; however, little is known regarding the spread of PeV-A among family members of PeV-A–infected neonates and young infants. Methods In this prospective study, we evaluated stool samples from family members of PeV-A–infected neonates and infants younger than 4 months who presented with sepsis, meningoencephalitis, or both in Niigata, Japan, in 2016. Because of a simultaneous outbreak, enteroviruses (EVs) were also evaluated during this period. Real-time polymerase chain reaction followed by sequence analysis was used for viral diagnosis using serum and/or cerebrospinal fluid samples. Results Among 54 febrile patients, the stool samples of 14 (26%) and 12 (22%) patients tested positive for PeV-A and EV, respectively. Stool samples from 54 family members (38 adults and 16 children) of 12 PeV-A–infected patients were available. The rate of PeV-A positivity in these samples was higher among the children (88% [14 of 16]) than the adults (34% [13 of 38]). Among family members with a PeV-A–positive stool sample, 29% (4 of 14) of the children and 77% (10 of 13) of the adults were asymptomatic. Similarly, among 53 stool samples from family members (31 adults and 22 children) of 11 EV-infected patients, the rate of EV positivity in the stool samples was higher among the children (91% [20 of 22]) than among the adults (42% [13 of 31]). The asymptomatic-patient rates were 45% (9 of 20) among the children and 85% (11 of 13) among the adults in family members with EV-positive stool. Conclusions Similar to EVs, PeV-A was detected frequently in stool samples from family members of PeV-A–infected patients. Among family members with PeV-A–positive stool, adults were more likely than children to be asymptomatic and therefore could be an important source of PeV-A infection. [ABSTRACT FROM AUTHOR]

Background: Elevated blood lactate levels were reported as effective predictors of clinical outcome and mortality in ICU. However, there have been no studies simply comparing the timing of measuring lactates before vs. after ICU admission. Methods: A total of 19,226 patients with transfer time ≤ 24 hr were extracted from the Medical Information Mart for Intensive Care IV database (MIMIC-IV). After 1:1 propensity score matching, the patients were divided into two groups: measuring lactates within 3 hr before (BICU group, n = 4,755) and measuring lactate within 3 hr after ICU admission(AICU group, n = 4,755). The primary and secondary outcomes were hospital mortality, hospital 28-day mortality, ICU mortality, ICU length of stay (LOS), hospital LOS, and restricted mean survival time (RMST). Results: Hospital, hospital 28-day, and ICU mortality were significantly higher in AICU group (7.0% vs.9.8%, 6.7% vs. 9.4%, and 4.6% vs.6.7%, respectively, p<0.001 for all) Hospital LOS and ICU LOS were significantly longer in AICU group (8.4 days vs. 9.0 days and 3.0 days vs. 3.5 days, respectively, p<0.001 for both). After adjustment for predefined covariates, a significant association between the timing of measuring lactate and hospital mortality was observed in inverse probability treatment weight (IPTW) multivariate regression, doubly robust multivariate regression, and multivariate regression models (OR, 0.96 [95%CI, 0.95-0.97], OR 0.52 [95%CI, 0.46-0.60], OR 0.66 [95%CI, 0.56-0.78], respectively, p<0.001 for all), indicating the timing as a significant risk-adjusted factor for lower hospital mortality. The difference (BICU-AICU) of RMST at 28- days after ICU admission was 0.531 days (95%CI, 0.002-1.059, p<0.05). Placement of A-line and PA-catheter, administration of intravenous antibiotics, and bolus fluid infusion during the first 24-hr in ICU were significantly more frequent and faster in the BICU vs AICU group (67.6% vs. 51.3% and 126min vs.197min for A-line, 19.6% vs.13.2% and 182min vs. 274min for PA-catheter, 77.5% vs.67.6% and 109min vs.168min for antibiotics, and 57.6% vs.51.6% and 224min vs.278min for bolus fluid infusion, respectively, p<0.001 for all). Additionally, a significant indirect effect was observed in frequency (0.19879 [95% CI, 0.14061-0.25697] p<0.001) and time (0.07714 [95% CI, 0.22600-0.13168], p<0.01) of A-line replacement, frequency of placement of PA-catheter (0.05614 [95% CI, 0.04088-0.07140], p<0.001) and frequency of bolus fluid infusion (0.02193 [95%CI, 0.00303-0.04083], p<0.05). Conclusions: Measuring lactates within 3 hr prior to ICU might be associated with lower hospital mortality in unselected heterogeneous critically ill patients with transfer time to ICU ≤ 24hr, presumably due to more frequent and faster therapeutic interventions. [ABSTRACT FROM AUTHOR]