BACKGROUND: Women are known to be disadvantaged compared with men in the early links of the Chain of Survival, receiving fewer bystander interventions. We aimed to describe sex-based disparities in emergency medical service resuscitation quality and processes of care for out-of-hospital cardiac arrest.
RESULTS: We conducted a retrospective analysis of patients who were nontraumatic with out-of-hospital cardiac arrest aged ≥16 years where resuscitation was attempted between March 2019 and June 2023. We investigated 18 routinely captured performance metrics and performed adjusted logistic and quantile regression analyses to assess sex-based differences in these metrics. During the study period, 10 161 patients with out-of-hospital cardiac arrest met the eligibility criteria, of whom 3216 (32%) were women. There were no clinically relevant sex-based differences observed in regard to external cardiac compressions; however, women were 34% less likely to achieve a systolic blood pressure >100 mm Hg on arrival at the hospital (adjusted odds ratio [AOR], 0.66 [95% CI, 0.47-0.92]). Furthermore, women had a longer time to 12-lead ECG acquisition after return of spontaneous circulation (median adjusted difference, 1.00 minute [95% CI, 0.38-1.62]) and 33% reduced odds of being transported to a 24-hour percutaneous coronary intervention-capable facility (AOR, 0.67 [95% CI, 0.49-0.91]). Resuscitation was also terminated sooner for women compared with men (median adjusted difference, -4.82 minutes [95% CI, -6.77 to -2.87]).
CONCLUSIONS: Although external cardiac compression quality did not vary by sex, significant sex-based disparities were seen in emergency medical services processes of care following out-of-hospital cardiac arrest. Further investigation is required to elucidate the underlying causes of these differences and examine their influence on patient outcomes.

This scientific statement presents a conceptual framework for the pathophysiology of post-cardiac arrest brain injury, explores reasons for previous failure to translate preclinical data to clinical practice, and outlines potential paths forward. Post-cardiac arrest brain injury is characterized by 4 distinct but overlapping phases: ischemic depolarization, reperfusion repolarization, dysregulation, and recovery and repair. Previous research has been challenging because of the limitations of laboratory models; heterogeneity in the patient populations enrolled; overoptimistic estimation of treatment effects leading to suboptimal sample sizes; timing and route of intervention delivery; limited or absent evidence that the intervention has engaged the mechanistic target; and heterogeneity in postresuscitation care, prognostication, and withdrawal of life-sustaining treatments. Future trials must tailor their interventions to the subset of patients most likely to benefit and deliver this intervention at the appropriate time, through the appropriate route, and at the appropriate dose. The complexity of post-cardiac arrest brain injury suggests that monotherapies are unlikely to be as successful as multimodal neuroprotective therapies. Biomarkers should be developed to identify patients with the targeted mechanism of injury, to quantify its severity, and to measure the response to therapy. Studies need to be adequately powered to detect effect sizes that are realistic and meaningful to patients, their families, and clinicians. Study designs should be optimized to accelerate the evaluation of the most promising interventions. Multidisciplinary and international collaboration will be essential to realize the goal of developing effective therapies for post-cardiac arrest brain injury.

The novel SARS-CoV-2 introduced several new inflammatory conditions including SARS-CoV-2-associated rhabdomyolysis and viral myositis. We present a 22-year-old man who noted a week of cough followed by myalgias, dark-colored urine, and decreased oral intake. He was found to have acute nontraumatic rhabdomyolysis after an acutely positive SARS-CoV-2 test. Initial creatine kinase (CK) level was above the reference range as were liver enzymes reflective of muscle breakdown. Treatment involved fluid resuscitation and pain control, with close monitoring of kidney, liver, and skeletal markers over five days of hospitalization till there was clinical and symptomatic improvement.

This scientific statement presents a conceptual framework for the pathophysiology of post-cardiac arrest brain injury, explores reasons for previous failure to translate preclinical data to clinical practice, and outlines potential paths forward. Post-cardiac arrest brain injury is characterized by 4 distinct but overlapping phases: ischemic depolarization, reperfusion repolarization, dysregulation, and recovery and repair. Previous research has been challenging because of the limitations of laboratory models; heterogeneity in the patient populations enrolled; overoptimistic estimation of treatment effects leading to suboptimal sample sizes; timing and route of intervention delivery; limited or absent evidence that the intervention has engaged the mechanistic target; and heterogeneity in postresuscitation care, prognostication, and withdrawal of life-sustaining treatments. Future trials must tailor their interventions to the subset of patients most likely to benefit and deliver this intervention at the appropriate time, through the appropriate route, and at the appropriate dose. The complexity of post-cardiac arrest brain injury suggests that monotherapies are unlikely to be as successful as multimodal neuroprotective therapies. Biomarkers should be developed to identify patients with the targeted mechanism of injury, to quantify its severity, and to measure the response to therapy. Studies need to be adequately powered to detect effect sizes that are realistic and meaningful to patients, their families, and clinicians. Study designs should be optimized to accelerate the evaluation of the most promising interventions. Multidisciplinary and international collaboration will be essential to realize the goal of developing effective therapies for post-cardiac arrest brain injury.

Given the high morbidity and mortality associated with cardiopulmonary arrest, there have been multiple trials aimed at better monitoring and augmenting coronary, cerebral, and systemic perfusion. This article aims to elucidate these interventions, first by detailing the physiology of cardiopulmonary resuscitation and the available tools for managing cardiopulmonary arrest, followed by an in-depth examination of the newest advances in the monitoring and delivery of advanced cardiac life support.

BACKGROUND: Approximately 10% of newborns require assistance at delivery, and heart rate (HR) is the primary vital sign providers use to guide resuscitation methods. In 2016, the American Heart Association (AHA) suggested electrocardiogram in the delivery room (DR-ECG) to measure heart rate during resuscitation. This study aimed to compare the frequency of resuscitation methods used before and after implementation of the AHA recommendations.
METHODS: This longitudinal retrospective cohort study compared a pre-implementation (2015) cohort with two post-implementation cohorts (2017, 2021) at our Level IV neonatal intensive care unit.
RESULTS: An initial increase in chest compressions at birth associated with the introduction of DR-ECG monitoring was mitigated by focused educational interventions on effective ventilation. Implementation was accompanied by no changes in neonatal mortality.
CONCLUSIONS: Investigation of neonatal outcomes during the ongoing incorporation of DR-ECG may help our understanding of human and system factors, identify ways to optimize resuscitation team performance, and assess the impact of targeted training initiatives on clinical outcomes.

Fluid resuscitation during diabetic ketoacidosis (DKA) is most frequently performed with 0.9% saline despite its high chloride and sodium concentration. Balanced Electrolyte Solutions (BES) may prove a more physiological alternative, but convincing evidence is missing. We aimed to compare the efficacy of 0.9% saline to BES in DKA management. MEDLINE, Cochrane Library, and Embase databases were searched for relevant studies using predefined keywords (from inception to 27 November 2021). Relevant studies were those in which 0.9% saline (Saline-group) was compared to BES (BES-group) in adults admitted with DKA. Two reviewers independently extracted data and assessed the risk of bias. The primary outcome was time to DKA resolution (defined by each study individually), while the main secondary outcomes were changes in laboratory values, duration of insulin infusion, and mortality. We included seven randomized controlled trials and three observational studies with 1006 participants. The primary outcome was reported for 316 patients, and we found that BES resolves DKA faster than 0.9% saline with a mean difference (MD) of -5.36 [95% CI: -10.46, -0.26] hours. Post-resuscitation chloride (MD: -4.26 [-6.97, -1.54] mmoL/L) and sodium (MD: -1.38 [-2.14, -0.62] mmoL/L) levels were significantly lower. In contrast, levels of post-resuscitation bicarbonate (MD: 1.82 [0.75, 2.89] mmoL/L) were significantly elevated in the BES-group compared to the Saline-group. There was no statistically significant difference between the groups regarding the duration of parenteral insulin administration (MD: 0.16 [-3.03, 3.35] hours) or mortality (OR: -0.67 [0.12, 3.68]). Studies showed some concern or a high risk of bias, and the level of evidence for most outcomes was low. This meta-analysis indicates that the use of BES resolves DKA faster than 0.9% saline. Therefore, DKA guidelines should consider BES instead of 0.9% saline as the first choice during fluid resuscitation.

BACKGROUND: Evidence supporting the benefits of autonomous learning of basic life support, such as rapid outcomes and cost-effectiveness, is increasing. Reports supporting the autonomous learning of cognitive skills in basic life support exist. However, there is currently no report supporting the autonomous learning of psychomotor skills in basic life support.
OBJECTIVE: This study aimed to assess how using a research-developed pillow-made mannequin affects autonomous learning of psychomotor skills in basic life support training.
METHODS: Randomized controlled trial.
METHODS: This study was conducted in a nursing school in Turkey.
METHODS: Sixty-one (n = 61) third-year formal science undergraduate students.
METHODS: At XXX University, 61 nursing students were divided into Intervention (n = 31) and Control Groups (n = 30). Students in both groups received basic life support training, including live demonstrations. Intervention Group students practiced with the mannequin for 15 days. Skill assessments were conducted by two independent evaluators using a real mannequin 15 days later and six months later. Researchers used a checklist to assess psychomotor skills.
RESULTS: The sociodemographic characteristics of both student groups were similar. There was no significant difference in cognitive knowledge levels after the blended training (p > 0.05). However, at both post-intervention assessments, after 15 days and after 6 months, significant skill differences emerged in \"placing the index finger on the ends of the sternum,\" \"combining the thumbs in the middle,\" \"defining the lower sternum as a massage point,\" \"placing the base of the chest\" \"placing the weaker hand at the massage point,\" \"placing the body perpendicular to the ribcage,\" and \"performing 30 compressions.\" Cohen\'s kappa value was calculated as 0.932.
CONCLUSIONS: Use of the mannequin facilitates autonomous learning of psychomotor skills and promotes accurate application.
BACKGROUND: ClinicalTrials.gov ID: NCT05346003, 08/02/2022.

BACKGROUND: Coronary perfusion pressure (CPP) indicates spontaneous return of circulation and is recommended for high-quality cardiopulmonary resuscitation (CPR). This study aimed to investigate a method for non-invasive estimation of CPP using electrocardiography (ECG) and photoplethysmography (PPG) during CPR.
METHODS: Nine pigs were used in this study. ECG, PPG, invasive arterial blood pressure (ABP), and right atrial pressure (RAP) signals were simultaneously recorded. The CPPs were estimated using three datasets: (a) ECG, (b) PPG, and (c) ECG and PPG, and were compared with invasively measured CPPs. Four machine-learning algorithms, namely support vector regression, random forest (RF), K-nearest neighbor, and gradient-boosted regression tree, were used for estimation of CPP.
RESULTS: The RF model with a combined ECG and PPG dataset achieved better estimation of CPP than the other algorithms. Specifically, the mean absolute error was 4.49 mmHg, the root mean square error was 6.15 mm Hg, and the adjusted R2 was 0.75. A strong correlation was found between the non-invasive estimation and invasive measurement of CPP (r = 0.88), which supported our hypothesis that machine-learning-based analysis of ECG and PPG parameters can provide a non-invasive estimation of CPP for CPR.
CONCLUSIONS: This study proposes a novel estimation of CPP using ECG and PPG with machine-learning-based algorithms. Non-invasively estimated CPP showed a high correlation with invasively measured CPP and may serve as an easy-to-use physiological indicator for high-quality CPR treatment.