Survival after in-hospital cardiac arrest among cerebrovascular disease patients

Mortality risk factors in patients receiving ECPR after cardiac arrest: Development and validation of a clinical prognostic prediction model

BACKGROUND

Previous studies have shown an increasing trend of extracorporeal cardiopulmonary resuscitation (ECPR) use in patients with cardiac arrest (CA). Although ECPR have been found to reduce mortality in patients with CA compared with conventional cardiopulmonary resuscitation (CCPR), the mortality remains high. This study was designed to identify the potential mortality risk factors for ECPR patients for further optimization of patient management and treatment selection.

METHODS

We conducted a prospective, multicentre study collecting 990 CA patients undergoing ECPR in 61 hospitals in China from January 2017 to May 2022 in CSECLS registry database. A clinical prediction model was developed using cox regression and validated with external data.

RESULTS

The data of 351 patients meeting the inclusion criteria before October 2021 was used to develop a prediction model and that of 68 patients after October 2021 for validation. Of the 351 patients with CA treated with ECPR, 227 (64.8%) patients died before hospital discharge. Multivariate analysis suggested that a medical history of cerebrovascular diseases, pulseless electrical activity (PEA)/asystole and higher Lactate (Lac) were risk factors for mortality while aged 45-60, higher pH and intra-aortic balloon pump (IABP) during ECPR have protective effects. Internal validation by bootstrap resampling was subsequently used to evaluate the stability of the model, showing moderate discrimination, especially in the early stage following ECPR, with a C statistic of 0.70 and adequate calibration with GOF chi-square = 10.4 (p = 0.50) for the entire cohort. Fair discrimination with c statistic of 0.65 and good calibration (GOF chi-square = 6.1, p = 0.809) in the external validation cohort demonstrating the model's ability to predict in-hospital death across a wide range of probabilities.

CONCLUSION

Risk factors have been identified among ECPR patients including a history of cerebrovascular diseases, higher Lac and presence of PEA or asystole. While factor such as age 45-60, higher pH and use of IABP have been found protective against in-hospital mortality. These factors can be used for risk prediction, thereby improving the management and treatment selection of patients for this resource-intensive therapy.

Outcomes of In-hospital Cardiac Arrest: A Review of the Evidence

Cardiac arrest is a significant cause of morbidity and mortality in the United States. Cardiac arrest can occur in the community or among hospitalized patients. There are many commonalities between in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest; however, significant differences exist. Optimizing outcomes for patients with IHCA depends on high-quality care supported by the best available evidence. It is essential that critical care nurses are familiar with the evidence related to IHCA. This article focuses on a review of the evidence on IHCA, focusing on practical implications for critical care nursing practice.

Factors affecting outcomes in patients with cardiac arrest who receive target temperature management: The multi-center TIMECARD registry

BACKGROUND

Target temperature management (TTM) is a recommended therapy for patients after cardiac arrest (PCA). The TaIwan Network of Targeted Temperature ManagEment for CARDiac Arrest (TIMECARD) registry was established for PCA who receive TTM therapy in Taiwan. We aim to determine the variables that may affect neurologic outcomes in PCA who undergo TTM.

METHODS

We retrieved demographic variables, resuscitation variables, and cerebral performance category (CPC) scale score at hospital discharge from the TIMECARD registry. The primary outcome was a favorable neurologic outcome, defined as a CPC scale of 1 or 2 at discharge. A total of 540 PCA treated between January 2014 and September 2019 were identified from the registry. Univariate and multivariate analyses were performed to identify significant variables.

RESULTS

The mortality rate was 58.1% (314/540). Favorable neurologic outcomes were noted in 117 patients (21.7%). The factors significantly influencing the neurologic outcome (p < 0.05) were the presence of an initial shockable rhythm or pulseless electric activity, a witnessed cardiac-arrest event, bystander cardiopulmonary resuscitation, a smaller total dose of epinephrine, the diastolic blood pressure value at return of spontaneous circulation, a pre-arrest CPC score of 1, coronary angiography, new-onset seizure, and new-onset serious infection. Older patients and those with premorbid diabetes mellitus, chronic kidney disease, malignancy, obstructive lung disease, or cerebrovascular accident were more likely to have an unfavorable neurologic outcome.

CONCLUSIONS

In the TIMECARD registry, some PCA baseline characteristics, cardiac arrest events, cardiopulmonary resuscitation characteristics, and post-arrest management characteristics were significantly associated with neurologic outcomes.

Management of Out-of-Hospital Cardiac Arrest Complicating Acute Coronary Syndromes

PURPOSE OF THE REVIEW

Out-of-hospital cardiac arrest (OHCA) complicating acute coronary syndromes (ACS) continues to carry a high rate of morbidity and mortality despite significant advances in EMS and interventional cardiology services. In this review, we discuss an evidence-based approach to the initial care and management of patients with OHCA complicating ACS from the pre-hospital response and initial resuscitation strategy, to advanced therapies such as coronary angiography, targeted-temperature management, neuro-prognostication, and care of the post-arrest patient.

RECENT FINDINGS

Early recognition of cardiac arrest and prompt initiation of bystander CPR are the most important factors associated with improved survival. A comprehensive and coordinated approach to in-hospital management, including PCI, targeted temperature management, critical care, and hemodynamic support represents a significant critical link in the chain of survival. OHCA complicated by ACS continues to be one of the most challenging disease states facing healthcare practitioners and maintains a high mortality rate despite substantial advancements in healthcare delivery. A comprehensive approach to in-hospital management and further exploration of novel interventions, including ECMO, may yield opportunities to optimize care and improve outcomes for cardiac arrest patients.

Diagnostic and prognostic values of cerebral oxygen saturations measured by INVOS™ in patients with ischemic and hemorrhagic cerebrovascular disease

Objectives

In this study it was aimed to investigate whether measurement of potential changes of cerebral oxygenation saturations due to ischemic or hemorrhagic cerebrovascular diseases have an early diagnostic and prognostic value.

Methods

Adult patients (≥18 years old) having acute ischemic or hemorrhagic stroke were included in the study. Patients under 18-year-old, those with incomplete data or suspicious diagnosis were excluded.

The cerebral oxygen saturations of the patients were compared with the healthy subjects. Patients were also grouped according to their clinical outcomes; good clinical status (group 1) and poor clinical status (group 2). These groups were compared according to the patients’ cerebral oxygen saturations.

Results

The mean oxygen saturation of the patients and healthy people were similar (59.48% ± 10.6 versus 58.44% ± 9.6). There was no difference between patients and healthy population according to cerebral oxygen saturations. Furthermore, mean oxygen levels were also similar between the hemisphere without lesion and with lesion in the patients group (59.8% ± 11.8 versus 59.2% ± 10.4).

When the patients were grouped according to their clinical status, there were 30 patients in group 1 and 15 in group 2. The cerebral oxygen saturations of the hemisphere with lesion were similar between these groups and no statistical difference was observed (59.2% ± 9.3 versus 59.1% ± 12.6, p = 0.9). There was also no statistical difference between the groups when delta oxygen levels of the affected and unaffected hemispheres of the groups were calculated (0.9% ± 6.1 versus 0.13% ± 8.4, p = 0.7).

Conclusion

Results of this study revealed that there was no difference in cerebral oxygen saturations measured by near-infrared cerebral oximetry system between the patients with cerebrovascular disease and healthy population. Furthermore, our results did not support that the cerebral oxygen saturations may be used for determining the prognosis of the patients with cerebrovascular disease.