Targeted temperature management and emergent coronary angiography are associated with improved outcomes in patients with prehospital return of spontaneous circulation

The Outcomes of the Initial Misclassification of Undifferentiated Hypotension in the Emergency Department: A Prospective Observational Study

Background: Managing shock, a life-threatening emergency, is challenging. The influence of the initial misclassification of undifferentiated hypotension (UH) in the emergency department (ED) on patients' outcomes remains uninvestigated. The aim of this study was to investigate whether the initial misclassification of UH in the ED affects patients' clinical outcomes. Materials and Methods: This prospective observational study enrolled 270 non-traumatic adult patients with UH who had visited the ED of National Taiwan University Hospital between July 2020 and January 2022. The patients were divided into same-diagnosis and different-diagnosis groups, depending on the consistency between the initial and final classifications of shock. The outcome was survival to discharge. The clinical variables, management, and outcomes were compared between the groups. Results: A total of 39 of 270 patients (14.4%) were in the different-diagnosis group. Most misclassified patients were initially diagnosed as having hypovolemic shock (HS, n = 29) but finally diagnosed as having distributive shock (DS, n = 28) or cardiogenic shock (n = 1). When compared with the same-diagnosis group, the different-diagnosis group had higher hospitalization (94.9% vs. 81.4%, p = 0.023) but lower ED discharge (5.1% vs. 16.5%, p = 0.046) rates. Logistic regression analysis showed that the HS initially diagnosed was associated with an increased risk of misclassification (odds ratio [OR] = 14.731, 95% confidence interval [CI] = 3.572-60.749, p < 0.001). However, the survival to discharge did not differ between the two groups. DS, when finally diagnosed instead of the initial misclassification, was associated with in-hospital mortality (OR = 0.317, 95%CI = 0.124-0.810, p = 0.016). Conclusions: The misclassification of UH in the ED is not rare, particularly in patients with DS, who are likely to be initially misdiagnosed with HS. Although misclassification may increase hospitalization and decrease ED discharge, it does not affect survival to discharge.

Recovery and Survival of Patients After Out-of-Hospital Cardiac Arrest: A Literature Review Showcasing the Big Picture of Intensive Care Unit-Related Factors

As an important public health issue, out-of-hospital cardiac arrest (OHCA) requires several stages of high quality medical care, both on-field and after hospital admission. Post-cardiac arrest shock can lead to severe neurological injury, resulting in poor recovery outcome and increased risk of death. These characteristics make this condition one of the most important issues to deal with in post-OHCA patients hospitalized in intensive care units (ICUs). Also, the majority of initial post-resuscitation survivors have underlying coronary diseases making revascularization procedure another crucial step in early management of these patients. Besides keeping myocardial blood flow at a satisfactory level, other tissues must not be neglected as well, and maintaining mean arterial pressure within optimal range is also preferable. All these procedures can be simplified to a certain level along with using targeted temperature management methods in order to decrease metabolic demands in ICU-hospitalized post-OHCA patients. Additionally, withdrawal of life-sustaining therapy as a controversial ethical topic is under constant re-evaluation due to its possible influence on overall mortality rates in patients initially surviving OHCA. Focusing on all of these important points in process of managing ICU patients is an imperative towards better survival and complete recovery rates.

Impact of emergent coronary angiography after out-of-the-hospital cardiac arrest without ST-segment elevation - a systematic review and meta-analysis

INTRODUCTION

Coronary artery disease is a leading cause of out-of-the-hospital cardiac arrest (OHCA). However, there is no consensus on whether OHCA patients without ST-segment elevation (STE) benefit from emergent (ie < 2 h) coronary angiography (CAG). Our aim was to assess the impact of emergent CAG in no-STE OHCA patients.

METHODS

We performed a systematic review and meta-analysis by searching the MEDLINE, Cochrane, Scopus, CINAHL and JBI databases for randomized controlled trials (RCTs) comparing emergent CAG versus standard of care (ie CAG >2 h after OHCA or not performed) in no-STE OHCA patients of presumed cardiac aetiology. The primary outcome was short term survival. Secondary outcomes included survival with good neurological outcome, mid-term survival, left ventricle ejection fraction (LVEF), acute kidney injury (AKI) and renal replacement therapy (RRT), ventricular arrhythmias and major bleeding during hospital stay.

RESULTS

Seven RCTs met the inclusion and exclusion criteria and were included; one was included only in the analysis of mid-term survival and another in the LVEF analysis. Five studies (1278 patients, 643 with early CAG and 635 with no early CAG) were included in the analysis of the primary endpoint. The groups were balanced for all baseline characteristics but previous PCI, which was more frequent in the standard of care groups. There were no significant differences between groups for short-term survival (57 vs 61%; OR0.85, 95% CI0.68-1.07; I² = 0%). There were also no differences for any of the secondary endpoints.

CONCLUSION

Routine emergent CAG did not improve survival in comatose survivors of OHCA with shockable rhythm and no-STE.

Predicting the survivals and favorable neurologic outcomes after targeted temperature management by artificial neural networks

BACKGROUND

To identify the outcome-associated predictors and develop predictive models for patients receiving targeted temperature management (TTM) by artificial neural network (ANN).

METHODS

The derived cohort consisted of 580 patients with cardiac arrest and ROSC treated with TTM between January 2014 and August 2019. We evaluated the predictive value of parameters associated with survival and favorable neurologic outcome. ANN were applied for developing outcome prediction models. The generalizability of the models was assessed through 5-fold cross-validation. The performance of the models was assessed according to the accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC).

RESULTS

The parameters associated with survival were age, duration of cardiopulmonary resuscitation, history of diabetes mellitus (DM), heart failure, end-stage renal disease (ESRD), systolic blood pressure (BP), diastolic BP, body temperature, motor response after ROSC, emergent coronary angiography or percutaneous coronary intervention (PCI), and the cooling methods. The parameters associated with the favorable neurologic outcomes were age, sex, DM, chronic obstructive pulmonary disease, ESRD, stroke, pre-arrest cerebral-performance category, BP, body temperature, motor response after ROSC, emergent coronary angiography or PCI, and cooling methods. After adequate training, ANN Model 1 to predict survival achieved an AUC of 0.80. Accuracy, sensitivity, and specificity were 75.9%, 71.6%, and 79.3%, respectively. ANN Model 4 to predict the favorable neurologic outcome achieved an AUC of 0.87, with accuracy, sensitivity, and specificity of 86.7%, 77.7%, and 88.0%, respectively.

CONCLUSIONS

The ANN-based models achieved good performance to predict the survival and favorable neurologic outcomes after TTM. The models proposed have clinical value to assist in decision-making.