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Extending postoperative surveillance to 3-year intervals after 5 years of annual surveillance in patients with low-risk PTC with excellent response to therapy is more cost effective than annual surveillance.

Objectives: To describe the use of extracorporeal cardiopulmonary resuscitation (ECPR) in pediatric patients without congenital heart disease (CHD) and identify associations with in-hospital mortality, with a specific focus on initial arrest rhythm. Design: Retrospective cohort study using data from pediatric patients enrolled in Extracorporeal Life Support Organization (ELSO) registry between January 1, 2017, and December 31, 2019. Setting: International, multicenter. Patients: We included ECPR patients under 18 years old, and excluded those with CHD. Subgroup analysis of patients with initial arrest rhythm. Interventions: None. Measurements and Main Results: We identified 567 patients: neonates (12%), infants (27%), children between 1 and 5 years old (25%), and children over 5 years old (36%). The patient cohort included 51% males, 43% of White race, and 89% not obese. Most suffered respiratory disease (26%), followed by acquired cardiac disease (25%) and sepsis (12%). In-hospital mortality was 59%. We found that obesity (adjusted odds ratio [aOR], 2.28; 95% CI, 1.21–4.31) and traumatic injury (aOR, 6.94; 95% CI, 1.55–30.88) were associated with greater odds of in-hospital mortality. We also identified lower odds of death associated with White race (aOR, 0.64; 95% CI, 0.45–0.91), ventricular tachycardia (VT) as an initial arrest rhythm (aOR, 0.36; 95% CI, 0.16–0.78), return of spontaneous circulation before cannulation (aOR, 0.56; 95% CI, 0.35–0.9), and acquired cardiac disease (aOR, 0.43; 95% CI, 0.29–0.64). Respiratory disease was associated with greater odds of severe neurologic complications (aOR, 1.64; 95% CI, 1.06–2.54). Conclusions: In children without CHD undergoing ECPR, we found greater odds of in-hospital mortality were associated with either obesity or trauma. The ELSO dataset also showed that other variables were associated with lesser odds of mortality, including VT as an initial arrest rhythm. Prospective studies are needed to elucidate the reasons for these survival differences.

BACKGROUND:Unlike recent advances in blood product resuscitation, intravenous crystalloid (IVF) use after intensive care unit (ICU) admission in hemorrhagic shock has received less attention and current recommendations are based on limited evidence. To address this knowledge gap, we aimed to determine associations between IVF administration during acute ICU resuscitation and outcomes. We hypothesized that larger IVF volumes are associated with worse outcomes. METHODS:We linked our trauma registry with electronic health record data (2012)(2013)(2014)(2015) to identify adults with an initial lactate level of ≥4 mmol/L and documented lactate normalization (≤2 mmol/L), excluding those with isolated head Abbreviated Injury Scale score ≥3. We focused on the period from ICU admission to lactate normalization, analyzing duration, volume of IVF, and proportion of volume as 1-L boluses. We used linear regression to determine associations with ICU length of stay and duration of mechanical ventilation in survivors, and logistic regression to identify associations with acute kidney injury and home discharge while adjusting for important covariates. RESULTS:We included 337 subjects. Median time to lactate normalization was 15 hours (interquartile range, 7-25 hours), and median IVF volume was 3.7 L (interquartile range, 1.5-6.4 L). The fourfold difference between the upper and lower quartiles of both duration and volume remained after stratifying by injury severity. Hourly volumes tapered over time but persistently aggregated at 0.5 and 1 L, with 167 subjects receiving at least one 0.5-L bolus for 6 hours after ICU admission. Administration of larger volumes was associated with longer ICU length of stay and duration of mechanical ventilation, as well as acute kidney injury. CONCLUSION:There is substantial variation in volume administered during acute ICU resuscitation, both absolutely and temporally, despite accounting for injury severity. Administration of larger volumes during acute ICU resuscitation is associated with worse outcomes. There is an opportunity to improve outcomes by further investigating and standardizing this important phase of care.

Purpose This study systematically reviews the uses of electronic health record (EHR) data to measure graduate medical education (GME) trainee competencies. Method In January 2022, the authors conducted a systematic review of original research in MEDLINE from database start to December 31, 2021. The authors searched for articles that used the EHR as their data source and in which the individual GME trainee was the unit of observation and/or unit of analysis. The database query was intentionally broad because an initial survey of pertinent articles identified no unifying Medical Subject Heading terms. Articles were coded and clustered by theme and Accreditation Council for Graduate Medical Education (ACGME) core competency. Results The database search yielded 3,540 articles, of which 86 met the study inclusion criteria. Articles clustered into 16 themes, the largest of which were trainee condition experience (17 articles), work patterns (16 articles), and continuity of care (12 articles). Five of the ACGME core competencies were represented (patient care and procedural skills, practice-based learning and improvement, systems-based practice, medical knowledge, and professionalism). In addition, 25 articles assessed the clinical learning environment. Conclusions This review identified 86 articles that used EHR data to measure individual GME trainee competencies, spanning 16 themes and 6 competencies and revealing marked between-trainee variation. The authors propose a digital learning cycle framework that arranges sequentially the uses of EHR data within the cycle of clinical experiential learning central to GME. Three technical components necessary to unlock the potential of EHR data to improve GME are described: measures, attribution, and visualization. Partnerships between GME programs and informatics departments will be pivotal in realizing this opportunity.

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