岸原 悠貴

<h4>Objectives</h4>In out-of-hospital cardiac arrest (OHCA), prehospital time is crucial and can be divided into response time, from emergency call to emergency medical service (EMS) contact, and time from EMS contact to hospital arrival. To improve prehospital strategies for pediatric OHCA, it is essential to understand the association between these time intervals and patient outcomes; however, detailed investigations are lacking. The current study aimed to examine the association between response time and time from EMS contact to hospital arrival as well as survival and neurological outcomes in pediatric OHCA.<h4>Methods</h4>This nationwide retrospective analysis used data from an OHCA registry in Japan between June 2014 and December 2021. Pediatric patients aged <18 years who had OHCA were included in the analysis. The primary outcome was 1-month survival, and the secondary outcome was 1-month favorable neurological outcome. Generalized additive model analyses and logistic regression analyses, adjusted for confounders, were performed to examine the non-linear and linear relationship between response time and patient care time (time from EMS contact with the patient to hospital arrival) and outcomes, respectively.<h4>Results</h4>In the generalized additive model analyses of response time, both survival and neurological outcomes worsened with response time, with outcomes appearing to further decline with a response time of approximately 15 minutes. On the other hand, there was a linear association between patient care time as well as 1-month survival and favorable neurologic outcomes. In logistic regression analyses, shorter response times were significantly associated with survival (odds ratio [OR]: 0.83, 95% confidence interval [CI]: 0.79-0.91]) and a favorable neurological outcome (OR: 0.75, 95% CI: 0.59-0.93). In contrast, time from EMS contact to hospital arrival was not significantly associated with survival (OR: 0.99, 95% CI: 0.97-1.02) and favorable neurological outcomes (OR: 1.02, 95% CI: 0.97-1.07).<h4>Conclusions</h4>A response time of <15 minutes can be associated with better survival and neurological outcomes. However, there is no significant association between time from EMS contact to hospital arrival as well as survival and favorable neurological outcomes.

The 2024 revised edition of the Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock (J-SSCG 2024) is published by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine. This is the fourth revision since the first edition was published in 2012. The purpose of the guidelines is to assist healthcare providers in making appropriate decisions in the treatment of sepsis and septic shock, leading to improved patient outcomes. We aimed to create guidelines that are easy to understand and use for physicians who recognize sepsis and provide initial management, specialized physicians who take over the treatment, and multidisciplinary healthcare providers, including nurses, physical therapists, clinical engineers, and pharmacists. The J-SSCG 2024 covers the following nine areas: diagnosis of sepsis and source control, antimicrobial therapy, initial resuscitation, blood purification, disseminated intravascular coagulation, adjunctive therapy, post-intensive care syndrome, patient and family care, and pediatrics. In these areas, we extracted 78 important clinical issues. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members. As a result, 42 GRADE-based recommendations, 7 good practice statements, and 22 information-to-background questions were created as responses to clinical questions. We also described 12 future research questions.

<h4>Objectives</h4>Optimal timing of adrenaline administration in pediatric out-of-hospital cardiac arrest (OHCA) is unclear. We aimed to evaluate the impact of early versus late adrenaline administration on survival and neurological outcomes at one month in children experiencing OHCA with non-shockable rhythm.<h4>Methods</h4>This study is retrospective cohort study. Here we utilized the Japanese Association for Acute Medicine OHCA registry, focusing on children under 18 years who received adrenaline during non-shockable rhythm cardiac arrest. We performed a risk-set matching analysis with a time-dependent propensity score to address resuscitation time bias. We categorized adrenaline administration as early (within 20 min of emergency medical service personnel contact) or late (after 20 min). We set our primary and secondary outcomes as survival and favorable neurological outcomes at one month after cardiac arrest, respectively.<h4>Results</h4>Of the 701 eligible patients, 300 received adrenaline early. Early versus late adrenaline administration in the risk-set matched cohort of 600 patients did not yield significant differences in survival (risk ratio [RR] 0.98 [95% confidence interval (CI) 0.95-1.01]) or favorable neurological outcome (RR 1.00 [95% CI 0.99-1.00]) at one month. However, in a subgroup analysis of patients with witnessed cardiac arrest, early adrenaline administration appeared to be associated with improved one month survival (RR 0.91 [95% CI 0.85-0.98]).<h4>Conclusions</h4>Early adrenaline administration in pediatric OHCA was not associated with overall one month survival or neurologic outcome.

Early and accurate identification of high-risk patients with peripheral intravascular catheter (PIVC)-related phlebitis is vital to prevent medical device-related complications. This study aimed to develop and validate a machine learning-based model for predicting the incidence of PIVC-related phlebitis in critically ill patients. Four machine learning models were created using data from patients ≥ 18 years with a newly inserted PIVC during intensive care unit admission. Models were developed and validated using a 7:3 split. Random survival forest (RSF) was used to create predictive models for time-to-event outcomes. Logistic regression with least absolute reduction and selection operator (LASSO), random forest (RF), and gradient boosting decision tree were used to develop predictive models that treat outcome as a binary variable. Cox proportional hazards (COX) and logistic regression (LR) were used as comparators for time-to-event and binary outcomes, respectively. The final cohort had 3429 PIVCs, which were divided into the development cohort (2400 PIVCs) and validation cohort (1029 PIVCs). The c-statistic (95% confidence interval) of the models in the validation cohort for discrimination were as follows: RSF, 0.689 (0.627-0.750); LASSO, 0.664 (0.610-0.717); RF, 0.699 (0.645-0.753); gradient boosting tree, 0.699 (0.647-0.750); COX, 0.516 (0.454-0.578); and LR, 0.633 (0.575-0.691). No significant difference was observed among the c-statistic of the four models for binary outcome. However, RSF had a higher c-statistic than COX. The important predictive factors in RSF included inserted site, catheter material, age, and nicardipine, whereas those in RF included catheter dwell duration, nicardipine, and age. The RSF model for the survival time analysis of phlebitis occurrence showed relatively high prediction performance compared with the COX model. No significant differences in prediction performance were observed among the models with phlebitis occurrence as the binary outcome.