Age-associated outcomes after survived out-of-hospital cardiac arrest and subsequent target temperature management

Brain natriuretic peptide as a predictor of 30-day mortality after return of spontaneous circulation in cardiac arrest patients

PURPOSE

To determine the predictive value of brain natriuretic peptide (BNP) levels for 30-day mortality after return of spontaneous circulation (ROSC) in patients with cardiac arrest (CA) of presumed cardiac etiology.

METHODS

This retrospective study included 260 patients with CA of presumed cardiac etiology who regained ROSC and was conducted between November 2013 and June 2022 at two tertiary comprehensive hospitals. Cox regression and nomogram models were used to demonstrate the value of BNP level in predicting 30-day mortality rates. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare the ability of the two models to predict 30-day mortality risk.

RESULTS

BNP level was a predictive factor for 30-day mortality (hazard ratio [HR] = 1.441; 95 % confidence interval [CI] = 1.198-1.734). The area under curves (AUCs) of BNP level alone and model 2 (male sex, age, non-shockable rhythm, epinephrine, and time to ROSC >30 min) for predicting 30-day mortality were similar(0.813 versus 0.834). Model 1 that included the variables in model 2 and BNP level showed good predictive value (area under curve = 0.887; 95 % CI = 0.836-0.939). Compared to Model 2, Model 1 showed improved comprehensive differentiation and net weight classification of mortality prediction, further demonstrating the predictive value of BNP for 30-day mortality (NRI = 0.451, 95 % CI = 0.267-0.577; IDI = 0.109, 95 % CI = 0.035-0.191).

CONCLUSION

BNP level was a predictive factor for 30-day mortality after ROSC in patients with CA of presumed cardiac etiology who regained ROSC. The nomogram model included BNP may provide a reference for predicting 30-day mortality.

Factors predicting mortality in the cardiac ICU during the early phase of targeted temperature management in the treatment of post-cardiac arrest syndrome - The RAPID score

Introduction

Survival rates after out-of-hospital cardiac arrest (OHCA) remain low, and early prognostication is challenging. While numerous intensive care unit scoring systems exist, their utility in the early hours following hospital admission, specifically in the targeted temperature management (TTM) population, is questionable. Our aim was to create a score system that may accurately estimate outcome within the first 12 h after admission in patients receiving TTM.

Methods

We analyzed data from 103 OHCA patients who subsequently underwent TTM between 2016 and 2022. Patient demographic data, prehospital characteristics, clinical and laboratory parameters were already available in the first 12 h after admission were collected. Following a bootstrap-based predictor selection, we constructed a nonlinear logistic regression model. Internal validation was performed using bootstrap resampling. Discrimination was described using the c-statistic, whereas calibration was characterized by the intercept and slope.

Results

According to the Akaike Information Criterion (AIC) heart rate (AIC = 9.24, p = 0.0013), age (AIC = 4.39, p = 0.0115), pH (AIC = 3.68, p = 0.0171), initial rhythm (AIC = 4.76, p = 0.0093) and right ventricular end-diastolic diameter (AIC = 2.49, p = 0.0342) were associated with 30-day mortality and were used to build our predictive model and nomogram. The area under the receiver-operating characteristics curve for the model was 0.84. The model achieved a C-statistic of 0.7974, with internally validated acceptable calibration (intercept: -0.0190, slope: 0.7772) and low error rates (mean absolute error: 0.040).

Conclusion

The model we have developed may be suitable for early risk assessment of patients receiving TTM as part of primary post-resuscitation care. The calculator needed for scoring can be accessed at the following link: https://www.rapidscore.eu/.

Association Between Postresuscitation 12-Lead ECG Features and Early Mortality After Out-of-Hospital Cardiac Arrest: A Post Hoc Subanalysis of the PEACE Study

Background Once the return of spontaneous circulation after out-of-hospital cardiac arrest is achieved, a 12-lead ECG is strongly recommended to identify candidates for urgent coronary angiography. ECG has no apparent role in mortality risk stratification. We aimed to assess whether ECG features could be associated with 30-day survival in patients with out-of-hospital cardiac arrest. Methods and Results All the post-return of spontaneous circulation ECGs from January 2015 to December 2018 in 3 European centers (Pavia, Lugano, and Vienna) were collected. Prehospital data were collected according to the Utstein style. A total of 370 ECGs were collected: 287 men (77.6%) with a median age of 62 years (interquartile range, 53-70 years). After correction for the return of spontaneous circulation-to-ECG time, age >62 years (hazard ratio [HR], 1.78 [95% CI, 1.21-2.61]; P=0.003), female sex (HR, 1.5 [95% CI, 1.05-2.13]; P=0.025), QRS wider than 120 ms (HR, 1.64 [95% CI, 1.43-1.87]; P<0.001), the presence of a Brugada pattern (HR, 1.49 [95% CI, 1.39-1.59]; P<0.001), and the presence of ST-segment elevation in >1 segment (HR, 1.75 [95% CI, 1.59-1.93]; P<0.001) were independently associated with 30-day mortality. A score ranging from 0 to 26 was created, and by dividing the population into 3 tertiles, 3 classes of risk were found with significantly different survival rate at 30 days (score 0-4, 73%; score 5-7, 66%; score 8-26, 45%). Conclusions The post-return of spontaneous circulation ECG can identify patients who are at high risk of mortality after out-of-hospital cardiac arrest earlier than other forms of prognostication. This provides important risk stratification possibilities in postcardiac arrest care that could help to direct treatments and improve outcomes in patients with out-of-hospital cardiac arrest.

Sex-specific differences and outcome in elderly patients after survived out-of-hospital cardiac arrest

BACKGROUND

Little is known about sex differences in elderly patients after out-of-hospital cardiac arrest (OHCA) with return of spontaneous circulation (ROSC) and subsequent target temperature management (TTM). Therefore, this study was designed to evaluate sex-specific differences in survival and neurological outcome in elderly patients at 28-day and 180-day follow-up.

METHODS

A total of 468 nontraumatic OHCA survivors with preclinical ROSC and an age of ≥ 65 years were included in this study. Sex-specific differences in survival and a favorable neurological outcome according to the cerebral performance category (CPC) score were evaluated as clinical endpoints.

RESULTS

Of all participants included, 70.7% were men and 29.3% women. Women were significantly older (p = 0.011) and were more likely to have a nonshockable rhythm (p = 0.001) than men. Evaluation of survival rate and favorable neurological outcome by sex category showed no significant differences at 28-day and 180-day follow-up. In multiple stepwise logistic regression analysis, age (odds ratio 0.932 [95% confidence interval 0.891-0.951], p = 0.002) and time of hypoxia (0.899 [0.850-0.951], p < 0.001) proved to be independent predictors of survival only in male patients, whereas an initial shockable rhythm (4.325 [1.309-14.291], p = 0.016) was associated with 180-day survival in female patients. The majority of patients (93.7%) remained in the same CPC category when comparing 28-day and 180-day follow-up.

CONCLUSION

Our results show no significant sex-specific differences in survival or favorable neurological outcome in elderly patients after having survived OHCA, but sex-specific predictors for 180-day survival. Moreover, the neurological assessment 28 days after the index event also seems to provide a valid indication for the further prognosis in elderly patients.

The role of age in post-cardiac arrest therapy in an elderly patient population

Aim

We investigated the effect of age on post-cardiac arrest treatment outcomes in an elderly population, based on a local database and a systemic review of the literature.

Methods

Data were collected retrospectively from medical charts and reports. Sixty-one comatose patients, cooled to 32-34 °C for 24 h, were categorized into three groups: younger group (≤65 years), older group (66-75 years), and very old group (>75 years). Circumstances of cardiopulmonary resuscitation (CPR), patients' characteristics, post-resuscitation treatment, hemodynamic monitoring, neurologic outcome and survival were compared across age groups. Kruskal-Wallis test, Chi-square test and binary logistic regression (BLR) were applied. In addition, a literature search of PubMed/Medline database was performed to provide a background.

Results

Age was significantly associated with having a cardiac arrest on a monitor and a history of hypertension. No association was found between age and survival or neurologic outcome. Age did not affect hemodynamic parameter changes during target temperature management (TTM), except mean arterial pressure (MAP). Need of catecholamine administration was the highest among very old patients. During the literature review, seven papers were identified. Most studies had a retrospective design and investigated interventions and outcome, but lacked unified age categorization. All studies reported worse survival in the elderly, although old survivors showed a favorable neurologic outcome in most of the cases.

Conclusion

There is no evidence to support the limitation of post-cardiac arrest therapy in the aging population. Furthermore, additional prospective studies are needed to investigate the characteristics and outcome of post-cardiac arrest therapy in this patient group.