Background-Pediatric cardiopulmonary resuscitation (CPR) for >20 minutes has been considered futile after pediatric inhospital cardiac arrests. This concept has recently been questioned, although the effect of CPR duration on outcomes has not recently been described. Our objective was to determine the relationship between CPR duration and outcomes after pediatric in-hospital cardiac arrests. Methods and Results-We examined the effect of CPR duration for pediatric in-hospital cardiac arrests from the Get WithThe Guidelines--Resuscitation prospective, multicenter registry of in-hospital cardiac arrests. We included 3419 children from 328 US and Canadian Get With The Guidelines-Resuscitation sites with an in-hospital cardiac arrest between January 2000 and December 2009. Patients were stratified into 5 patient illness categories: surgical cardiac, medical cardiac, general medical, general surgical, and trauma. Survival to discharge was 27.9%, but only 19.0% of all cardiac arrest patients had favorable neurological outcomes. Between 1 and 15 minutes of CPR, survival decreased linearly by 2.1% per minute, and rates of favorable neurological outcome decreased by 1.2% per minute. Adjusted probability of survival was 41% for CPR duration of 1 to 15 minutes and 12% for >35 minutes. Among survivors, favorable neurological outcome occurred in 70% undergoing <15 minutes of CPR and 60% undergoing CPR >35 minutes. Compared with general medical patients, surgical cardiac patients had the highest adjusted odds ratios for survival and favorable neurological outcomes, 2.5 (95% confidence interval, 1.8-3.4) and 2.7 (95% confidence interval, 2.0-3.9), respectively. Conclusions-CPR duration was independently associated with survival to hospital discharge and neurological outcome.Among survivors, neurological outcome was favorable for the majority of patients. Performing CPR for >20 minutes is not futile in some patient illness categories.

Methicillin-resistant

the Coronavirus Infectious Disease Ontology (CIDO) is a community-based ontology that supports coronavirus disease knowledge and data standardization, integration, sharing, and analysis. O ntologies, as the term is used in informatics, are structured vocabularies comprised of human-and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integration, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, diagnosis, prevention, and treatment. We emphasize CIDO development relevant to COVID-19. Human coronaviruses have given rise to a series of major crises in global public health. Severe acute respiratory syndrome (SARS) emerged in China in November 2002, lasted for eight months and resulted in 8,098 confirmed human cases in 29 countries with 774 deaths (case-fatality rate: 9.6%) 1. Approximately ten years later in June 2012, the Middle East Respiratory Syndrome (MERS), another highly pathogenic coronavirus disease, was identified in Saudi Arabia. The MERS outbreak has caused 2,260 cases in 27 countries and 803 deaths (35.5%) 2. More recently, the World Health Organization (WHO) declared the Coronavirus Disease 2019 (COVID-19) outbreak as a pandemic on March 11, 2020, when there were 118,326 confirmed cases and 4,292 deaths. As of May 13, there have been over 4.4 million confirmed cases and over 295,000 deaths globally. Unfortunately, we still do not have available effective drugs and vaccines against these highly pathological coronaviruses. Extensive studies have been conducted on coronaviruses, the results of many of which exist in publicly available data repositories such as GEO 3. Publications concerning COVID-19 have exploded in recent months, and new clinical trials have been and are being conducted to develop drugs and vaccines against COVID-19, 1,430 of which have been registered in ClinicalTrials.