Strategies for improving survival after in-hospital cardiac arrest in the United States: 2013 consensus recommendations: a consensus statement from the American Heart Association

Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

BACKGROUND

In-hospital cardiac arrest (IHCA) is a severe and sudden medical emergency that is characterized by the abrupt cessation of circulatory function, leading to death or irreversible organ damage if not addressed immediately. Emergency department (ED)-based IHCA (EDCA) accounts for 10% to 20% of all IHCA cases. Early detection of EDCA is crucial, yet identifying subtle signs of cardiac deterioration is challenging. Traditional EDCA prediction methods primarily rely on structured vital signs or electrocardiogram (ECG) signals, which require additional preprocessing or specialized devices. This study introduces a novel approach using image-based 12-lead ECG data obtained at ED triage, leveraging the inherent richness of visual ECG patterns to enhance prediction and integration into clinical workflows.

OBJECTIVE

This study aims to address the challenge of early detection of EDCA by developing an innovative deep learning model, the ECG-Image-Aware Network (EIANet), which uses 12-lead ECG images for early prediction of EDCA. By focusing on readily available triage ECG images, this research seeks to create a practical and accessible solution that seamlessly integrates into real-world ED workflows.

METHODS

For adult patients with EDCA (cases), 12-lead ECG images at ED triage were obtained from 2 independent data sets: National Taiwan University Hospital (NTUH) and Far Eastern Memorial Hospital (FEMH). Control ECGs were randomly selected from adult ED patients without cardiac arrest during the same study period. In EIANet, ECG images were first converted to binary form, followed by noise reduction, connected component analysis, and morphological opening. A spatial attention module was incorporated into the ResNet50 architecture to enhance feature extraction, and a custom binary recall loss (BRLoss) was used to balance precision and recall, addressing slight data set imbalance. The model was developed and internally validated on the NTUH-ECG data set and was externally validated on an independent FEMH-ECG data set. The model performance was evaluated using the F1-score, area under the receiver operating characteristic curve (AUROC), and area under the precision-recall curve (AUPRC).

RESULTS

There were 571 case ECGs and 826 control ECGs in the NTUH data set and 378 case ECGs and 713 control ECGs in the FEMH data set. The novel EIANet model achieved an F1-score of 0.805, AUROC of 0.896, and AUPRC of 0.842 on the NTUH-ECG data set with a 40% positive sample ratio. It achieved an F1-score of 0.650, AUROC of 0.803, and AUPRC of 0.678 on the FEMH-ECG data set with a 34.6% positive sample ratio. The feature map showed that the region of interest in the ECG was the ST segment.

CONCLUSIONS

EIANet demonstrates promising potential for accurately predicting EDCA using triage ECG images, offering an effective solution for early detection of high-risk cases in emergency settings. This approach may enhance the ability of health care professionals to make timely decisions, with the potential to improve patient outcomes by enabling earlier interventions for EDCA.

Prognosis of Out-of-Hospital Cardiac Arrest in Underserved Rural Area

BACKGROUND

Epidemiological data are lacking on patients in the rural areas who are being admitted after out-of-hospital cardiac arrest (OHCA). We report here the first descriptive analysis study of patients who were hospitalized and treated after OHCA at an academic medical center in the Lower Galilee which located in the north part of Israel.

METHODS

This is a descriptive, retrospective analysis of all patients admitted after OHCA to Tzafon Medical Center between the years 2017 and 2023. The analysis consists of the epidemiological, social, and clinical data based on the electronic medical records.

RESULTS

A total of 62 patients were included in this analysis, 82% were men with a median age of 61.5 years old. Thirty-four percent had history of ischemic heart disease (IHD) and 60% history of hypertension. Twenty-seven (44%) patients died during their admission. In 49 (79%) patients the first rhythm on emergency medical service (EMS) arrival was a shockable rhythm and 30 (48%) patients had a ST-elevation myocardial infarction (STEMI) on electrocardiogram (ECG). Patients who were admitted to the hospital after OHCA were more likely to be discharged alive if they had no history of IHD (n = 27; p = 0.037), hypertension, or hyperlipidemia. Moreover, the presence of first shockable rhythm on the first ECG that performed by EMS was associated with higher rates of survival (n = 33; p < 0.001).

CONCLUSIONS

We present the first single-center epidemiological analysis of patients admitted after OHCA at a rural area in Israel, with an in-hospital survival rate of 56%. Patients without history of IHD, hypertension, hyperlipidemia, and acute kidney injury and those with first shockable rhythm were more likely to discharged alive.

Enhancing trauma cardiopulmonary resuscitation simulation training with the use of virtual reality (Trauma SimVR): Protocol for a randomized controlled trial

BACKGROUND

With the increasing availability and use of digital tools such as virtual reality in medical education, there is a need to evaluate their impact on clinical performance and decision-making among healthcare professionals. The Trauma SimVR study is investigating the efficacy of virtual reality training in the context of traumatic in-hospital cardiac arrest.

METHODS AND ANALYSIS

This study protocol (clinicaltrials.gov identifier: NCT06445764) for a single-center, prospective, randomized, controlled trial focuses on first-year residents in anesthesiology/intensive care, traumatology, and emergency medicine. The study will compare the clinical performance in a simulated scenario between participants who received virtual reality training and those who received traditional e-learning courses for preparation. The primary endpoint is the time to a predefined intervention to treat the underlying cause of the simulated traumatic cardiac arrest. Secondary endpoints include protocol deviations, cognitive load during simulated scenarios, and the influence of gender and personality characteristics on learning outcomes. The e-learning and the virtual reality training content will be developed in collaboration with experts from various medical specialties and nursing, focusing on procedural processes, guideline adherence specific to trauma patient care, and traumatic in-hospital cardiac arrest.

RESULTS

The results of this study will provide valuable insights into the efficacy of virtual reality training, contributing to the advancement of medical education, and serve as a foundation for future research in this rapidly evolving field.

Development and validation of prediction models for death within 6 months after cardiac arrest

Background

Even in patients with a successful return of spontaneous circulation (ROSC), outcomes after cardiac arrest (CA) remain poor, with some eventually succumbing after several months of treatment. There is a need for early assessment of outcomes in patients with ROSC after CA. Therefore, we developed three models for predicting death within 6 months after CA using early post-arrest factors, performed external validation, and compared their efficiency.

Methods

In this retrospective cohort study, 199 patients aged 18-80 years who experienced either in-hospital cardiac arrest or out-of-hospital cardiac arrest and achieved ROSC were included as the training set. Patients were divided into an "alive" group (95 cases) and a "dead" group (104 cases) according to their survival status 6 months after CA. Demographic data, medical history, and laboratory results were collected. Univariate and multivariate logistic regression analyses were used to identify risk factors. A risk prediction model was constructed using random forest methods, support vector machine (SVM), and a nomogram based on factors with P < 0.1 in the multivariate logistic analyses. An additional 42 patients aged 18-80 years who experienced CA with ROSC were included as the validation set. Receiver operating characteristic (ROC), decision, and calibration curves were used to assess model performance.

Results

Duration of cardiac arrest, lactate level after ROSC, secondary infections, length of hospital stay, and ventilator support were the top five risk factors for death within 6 months after CA (P < 0.1) in sequence. The random forest model [average area under the ROC curve (AUC), training set = 0.991, validation set = 0.703] performed better than the SVM model (AUC, training set = 0.905, validation set = 0.636) and the nomogram model (AUC, training set = 0.893, validation set = 0.682). Decision curve analysis indicated that the random forest model provided the best net benefit. The calibration curve indicated that the prediction for death within 6 months after CA by the random forest model was consistent with actual outcomes. The AUC of the prediction model constructed using random forest, SVM, and nomogram methods was 0.991, 0.893, and 0.905, respectively.

Conclusions

The prediction model established by early post-arrest factors performed well, which can aid in evaluating prognosis within 6 months after cardiac arrest. The predictive model constructed using random forest methods exhibited better predictive efficacy.

Outcomes of pediatric in-hospital cardiac arrest in the emergency department of a tertiary referral hospital in Tanzania: a retrospective cohort study

BACKGROUND

Cardiopulmonary resuscitation (CPR) is an emergency procedure performed to restore heart function to minimize anoxic injury to the brain following cardiac arrest. Despite the establishment of emergency department and training on Pediatric Advanced Life Support (PALS) at Muhimbili National Hospital (MNH) the outcomes of pediatric in-hospital cardiac arrest have not been documented. We ought to determine the outcomes and factors associated with 24-h survival after pediatric in-hospital cardiac arrests at MNH in Tanzania.

METHODS

We conducted a retrospective study of all patients aged 1 month to 18 years who had in-hospital cardiac arrests (IHCA) prompting CPR in the Emergency Medicine Department (EMD) at MNH, Tanzania from January 2016 to December 2019. Data was collected from electronic medical record (Wellsoft) system using a standardized and pretested data collection form that recorded clinical baseline, pre-arrest, arrest, and post-arrest parameters. Bivariate and multivariable logistic regression analyses were performed to assess the influence of each factor on 24-h survival.

RESULTS

A total of 11,951 critically ill patients were screened, and 257 (2.1%) had cardiac arrest at EMD. Among 136 patients enrolled, the median age was 1.5 years (interquartile range: 0.5-3 years) years, and the majority 108 (79.4%) aged ≤ 5 years, and 101 (74.3%) had been referred from peripheral hospitals. Overall stained return of spontaneous circulation was achieved in 70 (51.5%) patients, 24-h survival was attained in 43 (31.3%) of patients, and only 7 patients (5.2%) survived to hospital discharge. Factors independently associated with 24-h survival were CPR event during the day/evening (p = 0.033), duration of CPR ≤ 20 min (p = 0.000), reversible causes of cardiac arrest being identified (p = 0.001), and having assisted/mechanical ventilation after CPR (p = 0.002).

CONCLUSION

In our cohort of children with cardiac arrest, survival to hospital discharge was only 5%. Factors associated with 24-h survival were CPR events during the daytime, short duration of CPR, recognition of reversible causes of cardiac arrest, and receiving mechanical ventilation. Future studies should explore the detection of decompensation, the quality of CPR, and post-cardiac arrest care on the outcomes of IHCA.

Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: Machine Learning-Based Multimodal Approach

Background

Early identification of impending in-hospital cardiac arrest (IHCA) improves clinical outcomes but remains elusive for practicing clinicians.

Objective

We aimed to develop a multimodal machine learning algorithm based on ensemble techniques to predict the occurrence of IHCA.

Methods

Our model was developed by the Multiparameter Intelligent Monitoring of Intensive Care (MIMIC)-IV database and validated in the Electronic Intensive Care Unit Collaborative Research Database (eICU-CRD). Baseline features consisting of patient demographics, presenting illness, and comorbidities were collected to train a random forest model. Next, vital signs were extracted to train a long short-term memory model. A support vector machine algorithm then stacked the results to form the final prediction model.

Results

Of 23,909 patients in the MIMIC-IV database and 10,049 patients in the eICU-CRD database, 452 and 85 patients, respectively, had IHCA. At 13 hours in advance of an IHCA event, our algorithm had already demonstrated an area under the receiver operating characteristic curve of 0.85 (95% CI 0.815-0.885) in the MIMIC-IV database. External validation with the eICU-CRD and National Taiwan University Hospital databases also presented satisfactory results, showing area under the receiver operating characteristic curve values of 0.81 (95% CI 0.763-0.851) and 0.945 (95% CI 0.934-0.956), respectively.

Conclusions

Using only vital signs and information available in the electronic medical record, our model demonstrates it is possible to detect a trajectory of clinical deterioration up to 13 hours in advance. This predictive tool, which has undergone external validation, could forewarn and help clinicians identify patients in need of assessment to improve their overall prognosis.

Mortality, morbidity & clinical outcome with different types of vasopressors in out of hospital cardiac arrest patients- a systematic review and meta-analysis

BACKGROUND & OBJECTIVE

Despite their continued use, the effectiveness and safety of vasopressors in post-cardiac arrest patients remain controversial. This study examined the efficacy of various vasopressors in cardiac arrest patients in terms of clinical, morbidity, and mortality outcomes.

METHODS

A comprehensive literature search was performed using online databases (MeSH terms: MEDLINE (Ovid), CENTRAL (Cochrane Library), Embase (Ovid), CINAHL, Scopus, and Google Scholar) from 1997 to 2023 for relevant English language studies. The primary outcomes of interest for this study included short-term survival leading to death, return of spontaneous circulation (ROSC), survival to hospital discharge, neurological outcomes, survival to hospital admission, myocardial infarction, and incidence of arrhythmias.

RESULTS

In this meta-analysis, 26 studies, including 16 RCTs and ten non-RCTs, were evaluated. The focus was on the efficacy of epinephrine, vasopressin, methylprednisolone, dopamine, and their combinations in medical emergencies. Epinephrine treatment was associated with better odds of survival to hospital discharge (OR = 1.52, 95%CI [1.20, 1.94]; p < 0.001) and achieving ROSC (OR = 3.60, 95% CI [3.45, 3.76], P < 0.00001)) over placebo but not in other outcomes of interest such as short-term survival/ death at 28-30 days, survival to hospital admission, or neurological function. In addition, our analysis indicates non-superiority of vasopressin or epinephrine vasopressin-plus-epinephrine therapy over epinephrine monotherapy except for survival to hospital admission where the combinatorial therapy was associated with better outcome (0.76, 95%CI [0.64, 0.92]; p = 0.004). Similarly, we noted the non-superiority of vasopressin-plus-methylprednisolone versus placebo. Finally, while higher odds of survival to hospital discharge (OR = 3.35, 95%CI [1.81, 6.2]; p < 0.001) and ROSC (OR = 2.87, 95%CI [1.97, 4.19]; p < 0.001) favoring placebo over VSE therapy were observed, the risk of lethal arrhythmia was not statistically significant. There was insufficient literature to assess the effects of dopamine versus other treatment modalities meta-analytically.

CONCLUSION

This meta-analysis indicated that only epinephrine yielded superior outcomes among vasopressors than placebo, albeit limited to survival to hospital discharge and ROSC. Additionally, we demonstrate the non-superiority of vasopressin over epinephrine, although vasopressin could not be compared to placebo due to the paucity of data. The addition of vasopressin to epinephrine treatment only improved survival to hospital admission.

Impact of Coronavirus Disease 2019 Pandemic on Cardiac Arrest and Emergency Care

The incidence of both out-of-hospital and in-hospital cardiac arrest increased during the coronavirus disease 2019 (COVID-19) pandemic. Patient survival and neurologic outcome after both out-of-hospital and in-hospital cardiac arrest were reduced. Direct effects of the COVID-19 illness combined with indirect effects of the pandemic on patient's behavior and health care systems contributed to these changes. Understanding the potential factors offers the opportunity to improve future response and save lives.

The initiative for medical equity and global health (IMEGH) resuscitation training program: A model for resuscitation training courses in Africa

In high-income countries, outcomes following in hospital cardiac arrest have improved over the last two decades due to the introduction of rapid response teams, cardiac arrest teams, and advanced resuscitation training. However, in low-income countries, such as Rwanda, outcomes are still poor. This is due to multiple factors including lack of adequate resuscitation training, few trainers, and lack of equipment. To address this issue, the Initiative for Medical Equity and Global Health Equity (IMEGH), a training organization founded in 2018 by 5 local anesthesiologists has regularly taught resuscitation courses such as Basic Life Support, Advanced Cardiac Life Support, and Pediatric Advanced Life Support in hospitals throughout Rwanda. The aims of the organization include developing a sustainable model to offer context relevant resuscitation training courses, building a cadre of local instructors to teach on the courses, as well as engaging funding partners to help support the effort. From October 2018 until September 2022, 31 courses were run in 11 hospitals across Rwanda training 1,060 healthcare providers (mainly of non-physician anesthetists, nurses, midwives, and general practitioners). Ongoing challenges include lack of local protocols, inability to tracking resuscitation outcomes, and continued inaccessibility by many healthcare providers. Despite these challenges, the IMEGH program is an example of a successful context-relevant model and has potential to inform the design of resuscitation programs in other similar settings. This article describes the development of the IMEGH program, accomplishments as well as lessons learned, challenges, and next steps for expansion.

Ventilation assisted feedback in out of hospital cardiac arrest

Excessive ventilatory volumes and rates during cardiopulmonary resuscitation (CPR) can lead to adverse effects, such as elevated intrathoracic pressure and decreased coronary blood flow. The 2020 American Heart Association (AHA) guidelines acknowledge the value of real-time feedback devices in improving CPR performance. In this case series, three out-of-hospital cardiac arrest cases received ventilation feedback during prehospital resuscitation and the initial in-hospital care phase. In each case, a notable increase in ventilation rate and volume was observed following the transfer of care from emergency medical services to hospital staff. This deviation from established ventilation guidelines emphasizes the importance of monitoring and addressing ventilation strategy during the transition to hospital care. Existing evidence supports the importance of maintaining specific ventilation rates and tidal volumes during cardiac arrest to improve outcomes. We believe further research is essential to establish a definitive link between ventilation strategies and patient outcomes, ultimately enhancing resuscitation efforts and patient survival rates. Integrating real-time ventilation feedback devices both in and out of the hospital during cardiac arrest presents an opportunity for quality improvement and adherence to national standards.

Shock Teams: A Contemporary Review

PURPOSE OF REVIEW

Cardiogenic shock (CS) is a time-sensitive and often fatal condition. To address this issue, many centers have developed multidisciplinary shock teams with a common goal of expediting the recognition and treatment of CS. In this review, we examine the mission, structure, implementation, and outcomes reported by these early shock teams.

RECENT FINDINGS

To date, there have been four observational shock team analyses, each providing unique insight into the utility of the shock team. The limited available data supports that shock teams are associated with improved CS mortality. However, there is considerable operational heterogeneity among shock teams, and randomized data assessing their value and best practices in both local and regional care models are needed.

Determining the Association Between Emergency Department Crowding and Debriefing After Pediatric Trauma Resuscitations

BACKGROUND

Debriefing in the pediatric emergency department (PED) is an invaluable tool to improve team well-being, communication, and performance. Despite evidence, surveys have reported heavy workload as a barrier to debriefing leading to missed opportunities for improvement in an already busy ED. The study aims to determine the association between the incidence of debriefing after pediatric trauma resuscitations and PED crowding.

METHODS

A total of 491 Trauma One activations in Riley Children's Hospital Pediatric Emergency Department that presented between April 2018 to December 2019 were included in the study. Debriefing documentations, patient demographics, time and date of presentation, mechanism of injury, injury severity score, disposition from PED, and length of stay (LOS) were collected and analyzed. The National Emergency Department Overcrowding Scale score at arrival, Average LOS, total PED census, total PED waiting room census, and rates of left without being seen were compared between groups.

RESULTS

Of 491 Trauma One activations presented to our PED, 50 (10%) trauma evaluations had documented debriefing. The National Emergency Department Overcrowding Scale score at presentation was significantly lower in those with debriefing versus without debriefing. In addition, the PED hourly census, waiting room census, average LOS, and left without being seen were also significantly lower in the group with debriefing. In addition, trauma cases with debriefing had a higher proportion of patients with profound injuries and discharges to the morgue.

CONCLUSIONS

Pediatric emergency department crowding is a significant barrier to debriefing after trauma resuscitations. However, profound injuries and traumatic pediatric deaths remain the strongest predictors in conducting debriefing regardless of PED crowding status.

Outcomes in non-ST-segment elevation myocardial infarction complicated by in-hospital cardiac arrest based on management strategy

BACKGROUND

There are limited data on in-hospital cardiac arrest (IHCA) complicating non-ST-segment-elevation myocardial infarction (NSTEMI) based on management strategy.

METHODS

We used National Inpatient Sample (2000-2017) to identify adults with NSTEMI (not undergoing coronary artery bypass grafting) and concomitant IHCA. The cohort was stratified based on use of early (hospital day 0) or delayed (≥hospital day 1) coronary angiography (CAG), percutaneous coronary intervention (PCI), and medical management. Outcomes included incidence of IHCA, in-hospital mortality, adverse events, length of stay, and hospitalization costs.

RESULTS

Of 6,583,662 NSTEMI admissions, 375,873 (5.7 %) underwent early CAG, 1,133,143 (17.2 %) received delayed CAG, 2,326,391 (35.3 %) underwent PCI, and 2,748,255 (41.7 %) admissions were managed medically. The medical management cohort was older, predominantly female, and with higher comorbidities. Overall, 63,085 (1.0 %) admissions had IHCA, and incidence of IHCA was highest in the medical management group (1.4 % vs 1.1 % vs 0.7 % vs 0.6 %, p < 0.001) compared to early CAG, delayed CAG and PCI groups, respectively. In adjusted analysis, early CAG (adjusted OR [aOR] 0.67 [95 % confidence interval {CI} 0.65-0.69]; p < 0.001), delayed CAG (aOR 0.49 [95 % CI 0.48-0.50]; p < 0.001), and PCI (aOR 0.42 [95 % CI 0.41-0.43]; p < 0.001) were associated with lower incidence of IHCA compared to medical management. Compared to medical management, early CAG (adjusted OR 0.53, CI: 0.49-0.58), delayed CAG (adjusted OR 0.34, CI: 0.32-0.36) and PCI (adjusted OR 0.19, CI: 0.18-0.20) were associated with lower in-hospital mortality (all p < 0.001).

CONCLUSION

Early CAG and PCI in NSTEMI was associated with lower incidence of IHCA and lower mortality among NSTEMI-IHCA admissions.

Do cardiopulmonary resuscitation real-time audiovisual feedback devices improve patient outcomes? A systematic review and meta-analysis

BACKGROUND

Cardiac arrest is a leading cause of mortality in America and has increased in the incidence of cases over the last several years. Cardiopulmonary resuscitation (CPR) increases survival outcomes in cases of cardiac arrest; however, healthcare workers often do not perform CPR within recommended guidelines. Real-time audiovisual feedback (RTAVF) devices improve the quality of CPR performed. This systematic review and meta-analysis aims to compare the effect of RTAVF-assisted CPR with conventional CPR and to evaluate whether the use of these devices improved outcomes in both in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA) patients.

AIM

To identify the effect of RTAVF-assisted CPR on patient outcomes and CPR quality with in- and OHCA.

METHODS

We searched PubMed, SCOPUS, the Cochrane Library, and EMBASE from inception to July 27, 2020, for studies comparing patient outcomes and/or CPR quality metrics between RTAVF-assisted CPR and conventional CPR in cases of IHCA or OHCA. The primary outcomes of interest were return of spontaneous circulation (ROSC) and survival to hospital discharge (SHD), with secondary outcomes of chest compression rate and chest compression depth. The methodological quality of the included studies was assessed using the Newcastle-Ottawa scale and Cochrane Collaboration's "risk of bias" tool. Data was analyzed using R statistical software 4.2.0. results were statistically significant if P < 0.05.

RESULTS

Thirteen studies (n = 17600) were included. Patients were on average 69 ± 17.5 years old, with 7022 (39.8%) female patients. Overall pooled ROSC in patients in this study was 37% (95% confidence interval = 23%-54%). RTAVF-assisted CPR significantly improved ROSC, both overall [risk ratio (RR) 1.17 (1.001-1.362); P = 0.048] and in cases of IHCA [RR 1.36 (1.06-1.80); P = 0.002]. There was no significant improvement in ROSC for OHCA (RR 1.04; 0.91-1.19; P = 0.47). No significant effect was seen in SHD [RR 1.04 (0.91-1.19); P = 0.47] or chest compression rate [standardized mean difference (SMD) -2.1; (-4.6-0.5)]; P = 0.09]. A significant improvement was seen in chest compression depth [SMD 1.6; (0.02-3.1); P = 0.047].

CONCLUSION

RTAVF-assisted CPR increases ROSC in cases of IHCA and chest compression depth but has no significant effect on ROSC in cases of OHCA, SHD, or chest compression rate.

Predicting in-hospital cardiac arrest outcomes: CASPRI and GO-FAR scores

It is important to predict the neurological prognoses of in-hospital cardiac arrest (IHCA) patients immediately after recovery of spontaneous circulation (ROSC) to make further critical management. The aim of this study was to confirm the usefulness of the Cardiac Arrest Survival Post-Resuscitation In-hospital (CASPRI) and Good Outcome Following Attempted Resuscitation (GO-FAR) scores for predicting the IHCA immediately after the ROSC. This is a retrospective analysis of patient data from a tertiary general hospital located in South Korea. A total of 488 adult patients who had IHCA and achieved sustained ROSC from September 2016 to August 2021 were analyzed to compare effectiveness of the CASPRI and GO-FAR scores related to neurologic prognosis. The primary outcome was Cerebral Performance Category (CPC) score at discharge, defined as a CPC score of 1 or 2. The secondary outcomes were survival-to-discharge and normal neurological status or minimal neurological damage at discharge. Of the 488 included patients, 85 (20.8%) were discharged with good prognoses (CPC score of 1 or 2). The area under the receiver operating characteristic curve of CASPRI score for the prediction of a good neurological outcome was 0.75 (95% CI 0.69-0.81), whereas that of GO-FAR score was 0.67 (95% CI 0.60-0.73). The results of this study show that these scoring systems can be used for timely and satisfactory prediction of the neurological prognoses of IHCA patients after ROSC.

How to predict the death risk after an in-hospital cardiac arrest (IHCA) in intensive care unit? A retrospective double-centre cohort study from a tertiary hospital in China

OBJECTIVES

Our objective is to develop a prediction tool to predict the death after in-hospital cardiac arrest (IHCA).

DESIGN

We conducted a retrospective double-centre observational study of IHCA patients from January 2015 to December 2021. Data including prearrest diagnosis, clinical features of the IHCA and laboratory results after admission were collected and analysed. Logistic regression analysis was used for multivariate analyses to identify the risk factors for death. A nomogram was formulated and internally evaluated by the boot validation and the area under the curve (AUC). Performance of the nomogram was further accessed by Kaplan-Meier survival curves for patients who survived the initial IHCA.

SETTING

Intensive care unit, Tongji Hospital, China.

PARTICIPANTS

Adult patients (≥18 years) with IHCA after admission. Pregnant women, patients with 'do not resuscitation' order and patients treated with extracorporeal membrane oxygenation were excluded.

INTERVENTIONS

None.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was the death after IHCA.

RESULTS

Patients (n=561) were divided into two groups: non-sustained return of spontaneous circulation (ROSC) group (n=241) and sustained ROSC group (n=320). Significant differences were found in sex (p=0.006), cardiopulmonary resuscitation (CPR) duration (p<0.001), total duration of CPR (p=0.014), rearrest (p<0.001) and length of stay (p=0.004) between two groups. Multivariate analysis identified that rearrest, duration of CPR and length of stay were independently associated with death. The nomogram including these three factors was well validated using boot calibration plot and exhibited excellent discriminative ability (AUC 0.88, 95% CI 0.83 to 0.93). The tertiles of patients in sustained ROSC group stratified by anticipated probability of death revealed significantly different survival rate (p<0.001).

CONCLUSIONS

Our proposed nomogram based on these three factors is a simple, robust prediction model to accurately predict the death after IHCA.

Resuscitation team training in Rwanda: A mixed method study exploring the combination of the VAST course with Advanced Cardiac Life Support training

Introduction

The influence of non-technical skills training on resuscitation performance in low-resource settings is unknown. This study investigates combining the Vital Anaesthesia Simulation Training Course with Advanced Cardiac Life Support training on resuscitation performance in Rwanda.

Methods

Participants in this mixed method study are members of resuscitation teams in three district hospitals in Rwanda. The intervention was participation in a 2-day Advanced Cardiac Life Support course followed by the 3-day Vital Anaesthesia Simulation Training Course. Quantitative primary endpoints were time to initiation of cardiopulmonary resuscitation, time to epinephrine administration, and time to defibrillation. Qualitative data on workplace implementation were gathered during focus groups held 3-months post-intervention.

Results

Forty-seven participants were recruited. Quantitative data showed a statistically significant decrease in time to cardiopulmonary resuscitation, epinephrine administration, and defibrillation from pre- to post-Advanced Cardiac Life Support, with times of [43.3 (49.7) seconds] versus [16.5 (20) sec], p = <0.001; [137.3 (108.9) sec] versus [51.3 (37.9)], p = <0.001; and [218.5 (105.8) sec] versus [110.8 (87.1) sec], p = <0.001; respectively. These improvements were maintained following the Vital Anaesthesia Simulation Training Course, and at 3-month retention testing. Qualitative analysis highlighted five key themes: ability to initiate cardiopulmonary resuscitation; team coordination for task allocation; empowerment; desire for training and mentorship; and advocacy for system improvement.

Conclusion

A modified 2-day Advanced Cardiac Life Support course improved resuscitation time indicators with retention 3-months later. Combining the Vital Anaesthesia Simulation Training Course and Advanced Cardiac Life Support led to better team coordination, empowerment to act, and advocacy for system improvement. This pairing of courses has promise for improving Advanced Cardiac Life Support skills amongst healthcare workers in low-resource settings.ClinicalTrials.gov Identifier: NCT05278884.

Harrison D, Hossain A, Lall R, Mason J, Nolan JP, Nwankwo H, Perkins GD, Samuel K, Schofield B, Soar J, Starr K, Thomas M, Voss S, Benger JR. Randomised trial of the clinical and cost effectiveness of a supraglottic airway device compared with tracheal intubation for in-hospital cardiac arrest (AIRWAYS-3): Protocol, design and implementation

Survival from in-hospital cardiac arrest is approximately 18%, but for patients who require advanced airway management survival is lower. Those who do survive are often left with significant disability. Traditionally, resuscitation of cardiac arrest patients has included tracheal intubation, however insertion of a supraglottic airway has gained popularity as an alternative approach to advanced airway management. Evidence from out-of-hospital cardiac arrest suggests no significant differences in mortality or morbidity between these two approaches, but there is no randomised evidence for airway management during in-hospital cardiac arrest. The aim of the AIRWAYS-3 randomised trial, described in this protocol paper, is to determine the clinical and cost effectiveness of a supraglottic airway versus tracheal intubation during in-hospital cardiac arrest. Patients will be allocated randomly to receive either a supraglottic airway or tracheal intubation as the initial advanced airway management. We will also estimate the relative cost-effectiveness of these two approaches. The primary outcome is functional status, measured using the modified Rankin Scale at hospital discharge or 30 days post-randomisation, whichever occurs first. AIRWAYS-3 presents ethical challenges regarding patient consent and data collection. These include the enrolment of unconscious patients without prior consent in a way that avoids methodological bias. Other complexities include the requirement to randomise patients efficiently during a time-critical cardiac arrest. Many of these challenges are encountered in other emergency care research; we discuss our approaches to addressing them. Trial registration: ISRCTN17720457. Prospectively registered on 29/07/2022.

Aetiology and outcome in hospitalized cardiac arrest patients

Aims

To study aetiologies of in-hospital cardiac arrests (IHCAs) and their association with 30-day survival.

Methods and results

Observational study with data from national registries. Specific aetiologies (n = 22) of IHCA patients between April 2018 and December 2020 were categorized into cardiac vs. non-cardiac and six main aetiology categories: myocardial ischemia, other cardiac causes, pulmonary causes, infection, haemorrhage, and other non-cardiac causes. Main endpoints were proportions in each aetiology, 30-day survival, and favourable neurological outcome (Cerebral Performance Category scale 1-2) at discharge. Among, 4320 included IHCA patients (median age 74 years, 63.1% were men), approximate 50% had cardiac causes with a 30-day survival of 48.4% compared to 18.7% among non-cardiac causes (P < 0.001). The proportion in each category were: myocardial ischemia 29.9%, pulmonary 21.4%, other cardiac causes 19.6%, other non-cardiac causes 11.6%, infection 9%, and haemorrhage 8.5%. The odds ratio (OR) for 30-day survival compared to myocardial ischemia for each category were: other cardiac causes OR 1.48 (CI 1.24-1.76); pulmonary causes OR 0.36 (CI 0.3-0.44); infection OR 0.25 (CI 0.18-0.33); haemorrhage OR 0.22 (CI 0.16-0.3); and other non-cardiac causes OR 0.56 (CI 0.45-0.69). IHCA caused by myocardial ischemia had the best favourable neurological outcome while those caused by infection had the lowest OR 0.06 (CI 0.03-0.13).

Conclusion

In this nationwide observational study, aetiologies with cardiac and non-cardiac causes of IHCA were evenly distributed. IHCA caused by myocardial ischemia and other cardiac causes had the strongest associations with 30-day survival and neurological outcome.

Implementing a Rapid Response Team: A Quality Improvement Project in a Low- to Middle-Income Country

BACKGROUND

The benefits of rapid response teams (RRTs) have been controversial with few studies conducted in low- to middle-income countries.

OBJECTIVE

The aim of this study was to investigate the effectiveness of implementing an RRT on 4 patient outcomes.

METHODS

We conducted a quality improvement pre-and-post design using the Plan-Do-Study-Act model in a tertiary hospital in a low- to middle-income country. We collected data before and after implementing the RRT in 4 phases and over 4 years.

RESULTS

Survival to discharge after cardiac arrest was 25.0% per 1000 discharges in 2016 and increased to 50% in 2019, a 50% increase. The rate of activations per 1000 discharges was 20.45% for the code team in 2016 and 33.6% for the RRT team in 2019. Thirty-one patients who arrested were transferred to a critical care unit before implementing the RRT, and 33% of such patients were transferred after. The time it took the code team to arrive at the bedside was 3.1 minutes in 2016 and decreased to 1.7 minutes for the RRT team to arrive in 2019, a 46% decrease.

DISCUSSION AND CLINICAL IMPLICATIONS

Implementing an RTT led by nurses in a low- to middle-income country increased the survival rate of patients who had a cardiac arrest by 50%. The role of nurses in improving patient outcomes and saving lives is substantial and empowers nurses to call for assistance to save patient lives who show early signs of a cardiac arrest. Hospital administrators should continue to use strategies to improve nurses' timely response to the clinical deterioration of patients and to continue to collect data to assess the effect of the RRT over time.

Impact of Coronavirus Disease 2019 Pandemic on Cardiac Arrest and Emergency Care

The incidence of both out-of-hospital and in-hospital cardiac arrest increased during the coronavirus disease 2019 (COVID-19) pandemic. Patient survival and neurologic outcome after both out-of-hospital and in-hospital cardiac arrest were reduced. Direct effects of the COVID-19 illness combined with indirect effects of the pandemic on patient's behavior and health care systems contributed to these changes. Understanding the potential factors offers the opportunity to improve future response and save lives.

Nighttime Continuous Contactless Smartphone-Based Cough Monitoring for the Ward: Validation Study

BACKGROUND

Clinical deterioration can go unnoticed in hospital wards for hours. Mobile technologies such as wearables and smartphones enable automated, continuous, noninvasive ward monitoring and allow the detection of subtle changes in vital signs. Cough can be effectively monitored through mobile technologies in the ward, as it is not only a symptom of prevalent respiratory diseases such as asthma, lung cancer, and COVID-19 but also a predictor of acute health deterioration. In past decades, many efforts have been made to develop an automatic cough counting tool. To date, however, there is neither a standardized, sufficiently validated method nor a scalable cough monitor that can be deployed on a consumer-centric device that reports cough counts continuously. These shortcomings limit the tracking of coughing and, consequently, hinder the monitoring of disease progression in prevalent respiratory diseases such as asthma, chronic obstructive pulmonary disease, and COVID-19 in the ward.

OBJECTIVE

This exploratory study involved the validation of an automated smartphone-based monitoring system for continuous cough counting in 2 different modes in the ward. Unlike previous studies that focused on evaluating cough detection models on unseen data, the focus of this work is to validate a holistic smartphone-based cough detection system operating in near real time.

METHODS

Automated cough counts were measured consistently on devices and on computers and compared with cough and noncough sounds counted manually over 8-hour long nocturnal recordings in 9 patients with pneumonia in the ward. The proposed cough detection system consists primarily of an Android app running on a smartphone that detects coughs and records sounds and secondarily of a backend that continuously receives the cough detection information and displays the hourly cough counts. Cough detection is based on an ensemble convolutional neural network developed and trained on asthmatic cough data.

RESULTS

In this validation study, a total of 72 hours of recordings from 9 participants with pneumonia, 4 of whom were infected with SARS-CoV-2, were analyzed. All the recordings were subjected to manual analysis by 2 blinded raters. The proposed system yielded a sensitivity and specificity of 72% and 99% on the device and 82% and 99% on the computer, respectively, for detecting coughs. The mean differences between the automated and human rater cough counts were -1.0 (95% CI -12.3 to 10.2) and -0.9 (95% CI -6.5 to 4.8) coughs per hour within subject for the on-device and on-computer modes, respectively.

CONCLUSIONS

The proposed system thus represents a smartphone cough counter that can be used for continuous hourly assessment of cough frequency in the ward.

Impact of Hospital Safety-Net Burden on Outcomes of In-Hospital Cardiac Arrest in the United States

High safety-net burden hospitals (HBHs) treating large numbers of uninsured or Medicaid-insured patients have generally been linked to worse clinical outcomes. However, limited data exist on the impact of the hospitals' safety-net burden on in-hospital cardiac arrest (IHCA) outcomes in the United States.

OBJECTIVES

To compare the differences in survival to discharge, routine discharge home, and healthcare resource utilization between patients at HBH with those treated at low safety-net burden hospital (LBH).

DESIGN SETTING AND PARTICIPANTS

Retrospective cohort study across hospitals in the United States: Hospitalized patients greater than or equal to 18 years that underwent cardiopulmonary resuscitation (CPR) between 2008 and 2018 identified from the Nationwide Inpatient Database. Data analysis was conducted in January 2022.

EXPOSURE

IHCA.

MAIN OUTCOMES AND MEASURES

The primary outcome is survival to hospital discharge. Other outcomes are routine discharge home among survivors, length of hospital stay, and total hospitalization cost.

RESULTS

From 2008 to 2018, an estimated 555,016 patients were hospitalized with IHCA, of which 19.2% occurred at LBH and 55.2% at HBH. Compared with LBH, patients at HBH were younger (62 ± 20 yr vs 67 ± 17 yr) and predominantly in the lowest median household income (< 25th percentile). In multivariate analysis, HBH was associated with lower chances of survival to hospital discharge (adjusted odds ratio [aOR], 0.88; 95% CI, 0.85-0.96) and lower odds of routine discharge (aOR, 0.6; 95% CI, 0.47-0.75), compared with LBH. In addition, IHCA patients at publicly owned hospitals and those with medium and large hospital bed size were less likely to survive to hospital discharge, while patients with median household income greater than 25th percentile had better odds of hospital survival.

CONCLUSIONS AND RELEVANCE

Our study suggests that patients who experience IHCA at HBH may have lower rates and odds of in-hospital survival and are less likely to be routinely discharged home after CPR. Median household income and hospital-level characteristics appear to contribute to survival.

End of Life: What Is the Anesthesiologist's Role?

Anesthesiologists receive extensive training in the area of perioperative care and the specialized skills required to maintain life during surgery and complex procedures. Integrated into almost every facet of contemporary medicine, they interact with patients at multiple stages of their health care journeys. While traditionally thought of as the doctors best equipped to save lives, they may also be some of the best doctors to help navigate the chapters at the end of life. Successfully navigating end-of-life care, particularly in the COVID-19 era, is a complicated task. Competing ethical principles of autonomy and nonmaleficence may often be encountered as sophisticated medical technologies offer the promise of extending life longer than ever before seen. From encouraging patients to actively engage in advance care planning, normalizing the conversations around the end of life, employing our skills to relieve pain and suffering associated with dying, and using our empathy and communication skills to also care for the families of dying patients, there are many ways for the anesthesiologist to elevate the care provided at the end of life. The aim of this article is to review the existing literature on the role of the anesthesiologist in end-of-life care, as well as to encourage future development of our specialty in this area.

Creating a culture of support for nursing surveillance

BACKGROUND

An estimated 98,000 deaths annually result from medical errors. Preventing these deaths must be a US healthcare goal. Surveillance decreases adverse events. Surveillance is essential for patient safety. Creating a unit culture that supports surveillance requires attention to its antecedents (nurse education, nurse expertise, nurse staffing, as well as organizational culture).

METHOD

The current literature on topics salient to creating a culture of nursing surveillance including its antecedents and its attributes were reviewed. The findings are summarized and presented.

DISCUSSION

Suggestions and tools enhancing a culture of safety allow the transition from one set of behaviors to another. An organizational culture that strives for excellence promotes surveillance which results in improved patient outcomes and better qualified nurses.

CONCLUSION

Unit change resulting in support for surveillance can minimize failure to rescue and promote interruption of adverse events. The patient outcomes include decreased morbidity and mortality.

Patient characteristics and survival outcomes of cardiac arrest in the cardiac catheterization laboratory: Insights from get with the Guidelines®-Resuscitation registry

BACKGROUND

Characteristics and outcomes of patients with in-hospital cardiac arrest (IHCA) in the cardiac catheterization laboratory (CCL) have not been well-described. Thus, we compared the outcomes of patients with an IHCA in the CCL versus those in the intensive care unit (ICU) and operating rooms (OR).

METHODS

Within the American Heart Association's Get With the Guidelines®-Resuscitation registry, we identified patients ≥ 18 years old with IHCA in the CCL, ICU, or OR between 2000-2019. Using hierarchical multivariable logistic regression, we compared rates of survival to discharge for patients with IHCA in the CCL versus ICU and OR.

RESULTS

Across 428 hospitals, 193,950 patients had IHCA, of whom 6865, 181,905 and 5180 were in the CCL, ICU and OR, respectively. Overall, 2614 (38.1%) patients with IHCA in the CCL survived to discharge, whereas 30,830 (16.9%) and 2096 (40.5%) survived to discharge from the ICU and OR, respectively. After adjustment, patients with IHCA in CCL were more likely to survive to discharge as compared to those with IHCA in the ICU (odds ratio, 1.37 [95%CI: 1.29-1.46], p < 0.001). In contrast, those who had IHCA in the CCL were less likely to survive to discharge as compared to patients with IHCA in the OR (odds ratio, 0.81 [95%CI: 0.69-0.94], p = 0.006).

CONCLUSION

IHCA in the CCL is not uncommon and has a lower survival rate when compared with IHCA in the OR. The reasons for this difference deserve further study given that cardiac arrest in both settings is witnessed and response time should be similar.

Implementation and facilitation of post-resuscitation debriefing: a comparative crossover study of two post-resuscitation debriefing frameworks

Background

Post-resuscitation debriefing (PRD) is the process of facilitated, reflective discussion, enabling team-based interpersonal feedback and identification of systems-level barriers to patient care. The importance and benefits of PRD are well recognized; however, numerous barriers exist, preventing its practical implementation. Use of a debriefing tool can aid with facilitating debriefing, creating realistic objectives, and providing feedback.

Objectives

To assess utility of two PRD tools, Debriefing In Situ Conversation after Emergent Resuscitation Now (DISCERN) and Post-Code Pause (PCP), through user preference. Secondary aims included evaluating differences in quality, subject matter, and types of feedback between tools and implications on quality improvement and patient safety.

Methods

Prospective, crossover study over a 12-month period from February 2019 to January 2020. Two PDR tools were implemented in 8 week-long blocks in acute care settings at a tertiary care children’s hospital. Debriefings were triggered for any intubation, resuscitation, serious/unanticipated patient outcome, or by request for distressing situations. Post-debriefing, team members completed survey evaluations of the PDR tool used. Descriptive statistics were used to analyze survey responses. A thematic analysis was conducted to identify themes that emerged from qualitative responses.

Results

A total of 114 debriefings took place, representing 655 total survey responses, 327 (49.9%) using PCP and 328 (50.1%) using DISCERN. 65.2% of participants found that PCP provided emotional support while only 50% of respondents reported emotional support from DISCERN. PCP was found to more strongly support clinical education (61.2% vs 56.7%). There were no significant differences in ease of use, support of the debrief process, number of newly identified improvement opportunities, or comfort in making comments or raising questions during debriefs between tools. Thematic analysis revealed six key themes: communication, quality of care, team function & dynamics, resource allocation, preparation and response, and support.

Conclusion

Both tools provide teams with an opportunity to reflect on critical events. PCP provided a more organized approach to debriefing, guided the conversation to key areas, and discussed team member wellbeing. When implementing a PRD tool, environmental constraints, desired level of emotional support, and the extent to which open ended data is deemed valuable should be considered.

Continuous Heart Rate Dynamics Preceding In-Hospital Pulseless Electrical Activity or Asystolic Cardiac Arrest of Respiratory Etiology

INTRODUCTION

Respiratory failure is a common cause of pulseless electrical activity (PEA) and asystolic cardiac arrest, but the changes in heart rate (HR) pre-arrest is not well described. We describe HR dynamics prior to in-hospital cardiac arrest (IHCA) among PEA/asystole arrest patients with respiratory etiology.

METHODS

In this retrospective study, we evaluated 139 patients with 3-24 hours of continuous electrocardiogram data recorded preceding PEA/asystole IHCA from 2010-2017. We identified respiratory failure cases by chart review and evaluated electrocardiogram data to identify patterns of HR changes, sinus bradycardia or sinus arrest, escape rhythms, and development right ventricular strain prior to IHCA.

RESULTS

A higher proportion of respiratory cases (58/73, 79%) fit a model of HR response characterized by tachycardia followed by rapid HR decrease prior to arrest, compared to non-respiratory cases (30/66, 45%, p<0.001). Among the 58 respiratory cases fitting this model, 36 (62%) had abrupt increase in HR occurring 64 (IQR 23-191) minutes prior to arrest, while 22 (38%) had stable tachycardia until time of HR decrease. Mean peak HR was 123±21 bpm. HR decrease occurred 3.0 (IQR 2.0-7.0) minutes prior to arrest. Sinus arrest occurred during the bradycardic phase in 42/58 of cases; escape rhythms were present in all but 2/42 (5%) cases. Right ventricular strain ECG pattern, when present, occurred at a median of 2.2 (IQR -0.05-17) minutes prior to onset of HR decrease.

CONCLUSION

IHCAs of respiratory etiology follow a model of HR increase from physiologic compensation to hypoxia, followed by rapid HR decrease prior to arrest.

Predictors and outcome of cardiac arrest in paediatric patients presenting to emergency medicine department of tertiary hospitals in Tanzania

Background

The survival of children who suffer cardiac arrest is poor. This study aimed to determine the predictors and outcome of cardiac arrest in paediatric patients presenting to an emergency department of a tertiary hospital in Tanzania.

Methodology

This was a prospective cohort study of paediatric patients > 1 month to ≤ 14 years presenting to Emergency Medicine Department of Muhimbili National Hospital (EMD) in Tanzania from September 2019 to January 2020 and triaged as Emergency and Priority. We enrolled consecutive patients during study periods where patients’ demographic and clinical presentation, emergency interventions and outcome were recorded. Logistic regression analysis was performed to identify the predictors of cardiac arrest.

Results

We enrolled 481 patients, 294 (61.1%) were males, and the median age was 2 years [IQR 1–5 years]. Among studied patients, 38 (7.9%) developed cardiac arrest in the EMD, of whom 84.2% were ≤ 5 years. Referred patients were over-represented among those who had an arrest (84.2%). The majority 33 (86.8%) of those who developed cardiac arrest died. Compromised circulation on primary survey (OR 5.9 (95% CI 2.1–16.6)), bradycardia for age on arrival (OR 20.0 (CI 1.6–249.3)), hyperkalemia (OR 8.2 (95% CI 1.4–47.7)), elevated lactate levels > 2 mmol/L (OR 5.2 (95% CI 1.4–19.7)), oxygen therapy requirement (OR 5.9 (95% CI 1.3–26.1)) and intubation within the EMD (OR 4.8 (95% CI 1.3–17.6)) were independent predictors of cardiac arrest.

Conclusion

Thirty-eight children developed cardiac arrest in the EMD, with a very high mortality. Those who arrested were more likely to present with signs of hypoxia, shock and acidosis, which suggest they were at later stage in their illness. Outcomes can be improved by strengthening the pre-referral care and providing timely critical management to prevent cardiac arrest.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-022-00679-5.

Outcomes of in-hospital cardiac arrest among hospitals with and without telemedicine critical care

BACKGROUND

Survival rates following in-hospital cardiac arrest (IHCA) are lower during nights and weekends (off-hours), as compared to daytime on weekdays (on-hours). Telemedicine Critical Care (TCC) may provide clinical support to improve IHCA outcomes, particularly during off-hours.

OBJECTIVE

To evaluate the association between hospital availability of TCC and IHCA survival.

METHODS

We identified 44,585 adults at 280 U.S. hospitals in the Get With The Guidelines® - Resuscitation registry who suffered IHCA in an Intensive Care Unit (ICU) or hospital ward between July 2017 and December 2019. We used 2-level hierarchical multivariable logistic regression to investigate whether TCC availability was associated with better survival, overall, and during on-hours (Monday-Friday 7:00 a.m.-10:59p.m.) vs. off-hours (Monday-Friday 11:00p.m.-6:59 a.m., and Saturday-Sunday, all day, and US national holidays).

RESULTS

14,373 (32.2%) participants suffered IHCA at hospitals with TCC, and 27,032 (60.6%) occurred in an ICU. There was no difference between TCC and non-TCC hospitals in acute resuscitation survival rate or survival to discharge rates for either IHCA occurring in the ICU (acute survival odds ratio [OR] 1.02, 95% CI 0.92-1.15; survival to discharge OR 0.94 [0.83-1.07]) or outside of the ICU (acute survival OR 1.03 [0.91-1.17]; survival to discharge OR 0.99 [0.86-1.12]. Timing of cardiac arrest did not modify the association between TCC availability and acute resuscitation survival (P =.37 for interaction) or survival to discharge (P =.39 for interaction).

CONCLUSIONS

Hospital availability of TCC was not associated with improved outcomes for in-hospital cardiac arrest.

The Development of an Assessment Rubric for the Core and Contingency Team Interaction Among Rapid Response Teams

INTRODUCTION

Teamwork training is critical in the development of high-functioning rapid response teams (RRT). Rapid response teams involve interactions between a patient's core care team and a hospital contingency team, which can lead to disorganized and unsafe resuscitations, largely due to problems with communication and information dissemination. An extensive literature search found no assessment tools specific to the unique communicative challenges of an RRT, and thus, this study sought to develop an assessment rubric validated for training RRTs.

METHODS

This study elucidates the development, implementation, and testing of an RRT rubric based on Kane's framework for validating testing instruments. Twenty-four inpatient code teams underwent team training using a Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) didactic, an online module on the TeamSTEPPS RRT program, and a subsequent presimulation and postsimulation experience. Two raters were randomized to give a bedside assessment for each team using the proposed RRT rubric. Simulation scores were assessed with Wilcoxon signed-rank tests. Interrater reliability was assessed using intraclass correlation coefficients. These analyses were then used to argue Kane's scoring, generalization, and extrapolation inferences.

RESULTS

All teams significantly improved from the presimulation to postsimulation scenarios across all TeamSTEPPS domains. Content validity was obtained from 5 resuscitation experts with a scale-level content validity index of 0.9, with individual content validity index of 0.8 to 1.0. Intraclass correlation coefficient for "pre" scores were 0.856 (n = 24, P < 0.001), "post" scores of 0.738 (n = 24, P < 0.001), and a total of 0.890 (n = 48, P < 0.001).

CONCLUSIONS

The authors argue for the validity of a new RRT rubric based off Kane's framework, with a specific focus on teamwork training to improve coordination and function of core and contingency teams. A follow-up study with longitudinal data along with external validation of this rubric is needed.

Cardiopulmonary Resuscitation Training for Healthcare Professionals: A Scoping Review

SUMMARY STATEMENT

The optimal strategy for training cardiopulmonary resuscitation (CPR) for healthcare professionals remains to be determined. This scoping review aimed to describe the emerging evidence for CPR training for healthcare professionals.We screened 7605 abstracts and included 110 studies in this scoping review on CPR training for healthcare professionals. We assessed the included articles for evidence for the following topics: training duration, retraining intervals, e-learning, virtual reality/augmented reality/gamified learning, instructor-learner ratio, equipment and manikins, other aspects of contextual learning content, feedback devices, and feedback/debriefing. We found emerging evidence supporting the use of low-dose, high-frequency training with e-learning to achieve knowledge, feedback devices to perform high-quality chest compressions, and in situ team simulations with debriefings to improve the performance of provider teams.

Nursing surveillance of respiratory adverse events among hospitalized adults: A systematic review to guide evidence-based practice

BACKGROUND

Nursing surveillance (NS) involves the purposeful, ongoing acquisition, interpretation, and synthesis of patient data for clinical decision-making. Surveillance is used to identify patients with early signs of distress and prevent adverse events. The processes that support and measure the outcomes of nursing surveillance are not clearly specified.

AIM

The aim of this systematic review was to describe the impact of NS on respiratory adverse events for adult hospitalized patients.

METHODS

The PRISMA model guided this systematic search of Academic Search Complete (EBSCOhost), CINAHL Complete (EBSCOhost), Nursing & Allied Health (ProQuest), and PubMed databases for articles published between 1990 and 2019. Search terms included nursing surveillance, data points typically attributed to nursing surveillance, adult hospitalized patients, and adverse respiratory events. The protocol for this review was registered as PROSPERO: CRD42020147557.

RESULTS

Of the 2907 references screened, 67 full-text articles were reviewed and 10 were eligible for inclusion. Research on nursing surveillance in the presence of respiratory deterioration is limited. Six studies used assessment tools that were generated from early warning scores, and four used research or institutionally designed trigger criteria. Surveillance, like other types of nursing care, was difficult to isolate and measure. Although components of surveillance were described in the selected studies, the nurse's role was not explicitly identified. Further research is required to highlight the role nursing surveillance plays in clinical decision-making to keep patients safe.

LINKING EVIDENCE TO ACTION

The attributes of NS provide a useful intervention guide for the hospitalized patient at risk of deterioration. Early warning score techniques provide empirical evidence for identifying patients at risk of deterioration. The findings of this study provide evidence of the significance for research focused on the attributes of NS relative to responding to patients at risk of deterioration.

External validation of a triage tool for predicting cardiac arrest in the emergency department

Early recognition and prevention comprise the first ring of the Chain of Survival for in-hospital cardiac arrest (IHCA). We previously developed and internally validated an emergency department (ED) triage tool, Emergency Department In-hospital Cardiac Arrest Score (EDICAS), for predicting ED-based IHCA. We aimed to externally validate this novel tool in another ED population. This retrospective cohort study used electronic clinical warehouse data from a tertiary medical center with approximately 130,000 ED visits per year. We retrieved data from 268,208 ED visits over a 2-year period. We selected one ED visit per person and excluded out-of-hospital cardiac arrest or children. Patient demographics and computerized triage information were retrieved, and the EDICAS was calculated to predict the ED-based IHCA. A total of 145,557 adult ED patients were included. Of them, 240 (0.16%) developed IHCA. The EDICAS showed excellent discrimination with an area under the receiver operating characteristic (AUROC) of 0.88. The AUROC of the EDICAS outperformed those of other early warning scores (0.80 for Modified Early Warning Score [MEWS] and 0.83 for Rapid Emergency Medicine Score [REMS]) in the same ED population. An EDICAS of 6 or above (i.e., high-risk patients) corresponded to a sensitivity of 33%, a specificity of 97%, and a positive likelihood ratio of 12.2. In conclusion, we externally validated a tool for predicting imminent IHCA in the ED and demonstrated its superior performance over other early warning scores. The real-world impact of the EDICAS warning system with appropriate interventions would require a future prospective study.

In-Hospital Cardiac Arrest in United States Emergency Departments, 2010–2018

Background

Little is known about the in-hospital cardiac arrest (IHCA) in the US emergency department (ED). This study aimed to describe the incidence and mortality of ED-based IHCA visits and to investigate the factors associated with higher incidence and poor outcomes of IHCA.

Materials and Methods

Data were obtained from the National Hospital Ambulatory Medical Care Survey (NHAMCS) between 2010 and 2018. Adult ED visits with IHCA were identified using the cardiopulmonary resuscitation code, excluding those with out-of-hospital cardiac arrest. We used descriptive statistics and multivariable logistic regression accounting for NHAMCS’s complex survey design. The primary outcome measures were ED-based IHCA incidence rates and ED-based IHCA mortality.

Results

Over the 9-year study period, there were approximately 1,114,000 ED visits with IHCA. The proportion of IHCA visits in the entire ED population (incidence rate, 1.2 per 1,000 ED visits) appeared stable. The mean age of patients who visited the ED with IHCA was 60 years, and 65% were men. Older age, male, arrival by ambulance, and being uninsured independently predicted a higher incidence of ED-based IHCA. Approximately 51% of IHCA died in the ED, and the trend remained stable. Arrival by ambulance, nighttime, or weekend arrival, and being in the non-Northeast were independently associated with a higher mortality rate after IHCA.

Conclusion

The high burden of ED visits with IHCA persisted through 2010–2018. Additionally, ED-based IHCA survival to hospital admission remained poor. Some patients were disproportionately affected, and certain contextual factors were associated with a poorer outcome.

Análisis clínico e histopatológico de la prevalencia de enfermedades cardiacas en muerte súbita. Estudio en autopsias

Introducción: un evento de muerte súbita supone un gran impacto para la sociedad, siendo importante su estudio para aportar conocimiento y fortalecer estrategias de promoción y prevención. Objetivo: determinar la prevalencia de los diagnósticos anatomopatológicos cardiacos definitivos y los hallazgos histopatológicos asociados con la muerte súbita de origen cardíaco en los pacientes sometidos a autopsias clínicas realizadas en el Hospital de San José de Bogotá DC, Colombia, durante el período 2015 a 2018. Métodos: estudio descriptivo de corte transversal retrospectivo en pacientes a quienes se les realizó autopsia con diagnóstico de muerte súbita de origen cardiovascular en el servicio de patología del Hospital de San José, Bogotá DC, Colombia. Resultados: se incluyeron 178 autopsias con diagnóstico de muerte súbita cardíaca. El promedio global de edad fue 56.1 años (DE: 15.06) con una relación hombre-mujer de 3:1. El hallazgo macroscópico más frecuente fue cardiomegalia (promedio 428.1 g (DE 112.8), acompañado de la presencia de coronariopatía esclerótica (p=0.000) con obstrucción de la luz de las arterias coronarias mayores de 80% (p=0.037). Conclusiones: los diagnósticos anatomopatológicos definitivos prevalentes en la muerte súbita cardiaca fueron cardiopatía isquémica crónica complicada (65%) e infarto agudo de miocardio (16%), datos similares a los reportados a nivel mundial. La cardiomegalia es un hallazgo frecuente que debe valorarse en forma cuidadosa.

Incidence and outcomes of in-hospital cardiac arrest in Japan 2011-2017: a nationwide inpatient database study

Background

Although numerous studies have investigated out-of-hospital cardiac arrest, few studies have been conducted on in-hospital cardiac arrest (IHCA). Knowledge of the nationwide epidemiology of IHCA in Japan, with its super-aging society, is important to understand the current situation of IHCA and to establish evidenced-based medicine in the future. The present study aimed to determine the incidence and outcomes of IHCA and their trends in Japan.

Methods

This observational cohort study was performed using a national administrative inpatient database for more than 1600 acute-care hospitals covering about 50% of all acute-care hospital beds in Japan from April 2011 to March 2018. We defined cardiac arrest patients who received cardiopulmonary resuscitation (chest compression) during hospitalization as IHCA. We excluded out-of-hospital cardiac arrest patients from the source population. The incidence of IHCA per 1000 hospital admissions and survival to discharge rate was reported with trend analyses by calendar year 2011–2017.

Results

Among 53,871,101 hospitalized patients without out-of-hospital cardiac arrest patients in 1626 hospitals, 2,136,038 (4.0%) had cardiac arrest. Of them, 274,664 (12.9%) received cardiopulmonary resuscitation at least once during hospitalization and were identified as IHCA, and 1,861,374 (87.1%) did not receive cardiopulmonary resuscitation. The incidence of IHCA per 1000 hospital admissions was 5.1, with a significant decreasing trend from 6.1 in 2011 to 4.6 in 2017 (P for trend = 0.033). Our estimated incidence can be translated to approximately 87,000 IHCA cases in Japan each year. The percentage of IHCA patients among cardiac arrest patients was 12.9%, with a significant decreasing trend from 14.0% in 2011 to 12.2% in 2017 (P for trend = 0.006). The overall rate of survival to discharge was 12.7%, with a significant increasing trend from 10.5% in 2011 to 14.0% in 2017 (P for trend < 0.001).

Conclusions

We found substantial associations between mortality and loss of health and IHCA in Japan. The incidence of IHCA showed a decreasing trend over time, the percentage of treated cardiac arrest patients also had a decreasing trend, and the overall survival to discharge rate improved over time.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-022-00601-y.

Ventilation management and outcomes in out-of-hospital cardiac arrest: a protocol for a preplanned secondary analysis of the TTM2 trial

INTRODUCTION

Mechanical ventilation is a fundamental component in the management of patients post cardiac arrest. However, the ventilator settings and the gas-exchange targets used after cardiac arrest may not be optimal to minimise post-anoxic secondary brain injury. Therefore, questions remain regarding the best ventilator management in such patients.

METHODS AND ANALYSIS

This is a preplanned analysis of the international randomised controlled trial, targeted hypothermia versus targeted normothermia after out-of-hospital cardiac arrest (OHCA)-target temperature management 2 (TTM2). The primary objective is to describe ventilatory settings and gas exchange in patients who required invasive mechanical ventilation and included in the TTM2 trial. Secondary objectives include evaluating the association of ventilator settings and gas-exchange values with 6 months mortality and neurological outcome. Adult patients after an OHCA who were included in the TTM2 trial and who received invasive mechanical ventilation will be eligible for this analysis. Data collected in the TTM2 trial that will be analysed include patients' prehospital characteristics, clinical examination, ventilator settings and arterial blood gases recorded at hospital and intensive care unit (ICU) admission and daily during ICU stay.

ETHICS AND DISSEMINATION

The TTM2 study has been approved by the regional ethics committee at Lund University and by all relevant ethics boards in participating countries. No further ethical committee approval is required for this secondary analysis. Data will be disseminated to the scientific community by abstracts and by original articles submitted to peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT02908308.

Development and application of "Special defibrillator for teaching and training"

Background

To provide an economical and practical defibrillator for first aid teaching and training, to reduce the cost of teaching and training, increase teaching and training equipment, provide trainees with more hands-on training sessions, and improve first aid capabilities.

Methods

Developing a special teaching defibrillator with the same structure and operation configuration as the clinical medical emergency defibrillator. The appearance, structure and operating accessories of the two defibrillators are the same. The difference between the defibrillator and the clinical medical emergency defibrillator are as follows: the clinical medical emergency defibrillator can be energized, and there are expensive electronic accessories and defibrillation accessories for charging and discharging in the machine. When discharging, the electrode plate has current discharged into the human body; the power plug of the “special defibrillator for teaching and training” is a fake plug. When the power is plugged in, no current enters the body and the machine. There are no expensive electronic accessories and defibrillation accessories for charging and discharging, and no current is discharged during discharge. Then compare the teaching effect of the special defibrillator for teaching and training and the clinical medical emergency defibrillator (including operation score and attitude after training).

Results

The scores of defibrillator operation in the experimental group of junior college students (87.77 ± 4.11 vs. 83.30 ± 4.56, P < 0.001) and the experimental group of undergraduate students (90.40 ± 3.67 vs. 89.12 ± 3.68, P = 0.011) were higher than those in the corresponding control group; The attitude of junior college students in the experimental group and undergraduate students in the experimental group after training was more positive than that of the corresponding control group (P < 0.05).

Conclusions

The special defibrillator for teaching and training can save the purchase cost of teaching equipment, increase teaching and training resources, and improve the trainee’s defibrillation ability, defibrillation confidence and defibrillation security.

Trajectories of Vital Signs and Risk of In-Hospital Cardiac Arrest

Background: Little is known about the trajectories of vital signs prior to in-hospital cardiac arrest (IHCA), which could explain the heterogeneous processes preceding this event. We aimed to identify clinically relevant subphenotypes at high risk of IHCA in the emergency department (ED).

Methods: This retrospective cohort study used electronic clinical warehouse data from a tertiary medical center. We retrieved data from 733,398 ED visits over a 7-year period. We selected one ED visit per person and retrieved patient demographics, triage data, vital signs (systolic blood pressure [SBP], heart rate [HR], body temperature, respiratory rate, oxygen saturation), selected laboratory markers, and IHCA status. Group-based trajectory modeling was performed.

Results: There were 37,697 adult ED patients with a total of 1,507,121 data points across all vital-sign categories. Three to four trajectory groups per vital-sign category were identified, and the following five trajectory groups were associated with a higher rate of IHCA: low and fluctuating SBP, high and fluctuating HR, persistent hypothermia, recurring tachypnea, and low and fluctuating oxygen saturation. The IHCA-prone trajectory group was associated with a higher triage level and a higher mortality rate, compared to other trajectory groups. Except for the persistent hypothermia group, the other four trajectory groups were more likely to have higher levels of C-reactive protein, lactic acid, cardiac troponin I, and D-dimer. Multivariable analysis revealed that hypothermia (adjusted odds ratio [aOR], 2.20; 95% confidence interval [95%CI], 1.35–3.57) and recurring tachypnea (aOR 2.44; 95%CI, 1.24–4.79) were independently associated with IHCA.

Conclusions: We identified five novel vital-sign sub-phenotypes associated with a higher likelihood of IHCA, with distinct patterns in clinical course and laboratory markers. A better understanding of the pre-IHCA vital-sign trajectories may help with the early identification of deteriorating patients.

Serum Lactate for Predicting Cardiac Arrest in the Emergency Department

Objectives: Early recognition and prevention of in-hospital cardiac arrest (IHCA) play an increasingly important role in the Chain of Survival. However, clinical tools for predicting IHCA in the emergency department (ED) are scanty. We sought to evaluate the role of serum lactate in predicting ED-based IHCA. Methods: Data were retrieved from 733,398 ED visits over a 7-year period in a tertiary medical centre. We selected one ED visit per person and excluded out-of-hospital cardiac arrest, children, or those without lactate measurements. Patient demographics, computerised triage information, and serum lactate levels were extracted. The initial serum lactate levels were grouped into normal (≤2 mmol/L), moderately elevated (2 < lactate ≤ 4), and highly elevated (>4 mmol/L) categories. The primary outcome was ED-based IHCA. Results: A total of 17,392 adult patients were included. Of them, 342 (2%) developed IHCA. About 50% of the lactate levels were normal, 30% were moderately elevated, and 20% were highly elevated. In multivariable analysis, the group with highly elevated lactate had an 18-fold increased risk of IHCA (adjusted odds ratio [OR], 18.0; 95% confidence interval [CI], 11.5-28.2), compared with the normal lactate group. In subgroup analysis, the poor lactate-clearance group (<2.5%/h) was associated with a 7.5-fold higher risk of IHCA (adjusted OR, 7.5; 95%CI, 3.7-15.1) compared with the normal clearance group. Conclusions: Elevated lactate levels and poor lactate clearance were strongly associated with a higher risk of ED-based IHCA. Clinicians may consider a more liberal sampling of lactate in patients at higher risk of IHCA with follow-up of abnormal levels.

Impact of Pre-Revascularization and Post-Revascularization Cardiac Arrest on Survival Prognosis in Patients With Acute Myocardial Infarction and Following Emergency Percutaneous Coronary Intervention

Objectives: To evaluate the effects of occurrence and timing of sudden cardiac arrest (SCA) on survival in patients with acute myocardial infarction (AMI) who underwent emergency percutaneous coronary intervention (PCI).

Methods: We analyzed 1,956 consecutive patients with AMI with emergency PCI from 2014 to 2018. Patients with cardiac arrest events were identified, and their medical records were reviewed.

Results: Patients were divided into non-cardiac arrest group (NCA group, n = 1,724), pre-revascularization cardiac arrest (PRCA group, n = 175), and post-revascularization SCA (POCA group, n = 57) according to SCA timing. Compared to NCA group, PRCA group and POCA group presented with higher brain natriuretic polypeptide (BNP), more often Killip class 3/4, atrial fibrillation, and less often completed recovery of coronary artery perfusion (all p < 0.05). Both patients with PRCA and POCA showed increased 30-day all-cause mortality when compared to patients with NCA (8.0 and 70.2% vs. 2.9%, both p < 0.001). However, when compared to patients with NCA, patients with PRCA did not lead to higher mortality during long-term follow-up (median time 917 days) (16.3 vs. 18.6%, p = 0.441), whereas patients with POCA were associated with increased all-cause mortality (36.3 vs. 18.6%, p < 0.001). Multivariate analysis identified Killip class 3/4, atrial fibrillation, high maximum MB isoenzyme of creatine kianse, and high creatinine as predictive factors for POCA. In Cox regression analysis, POCA was found as a strong mortality-increase predictor (HR, 8.87; 95% CI, 2.26–34.72; p = 0.002) for long-term all-cause death.

Conclusions: POCA appeared to be a strong life-threatening factor for 30-day and long-term all-cause mortality among patients with AMI who admitted alive and underwent emergency PCI. However, PRCA experience did not lead to a poorer long-term survival in patients with AMI surviving the first 30 days.

Teaching Infant Cardiopulmonary Resuscitation to Caregivers in the Emergency Department

OBJECTIVES

Infant cardiopulmonary resuscitation (CPR) has been taught to caregivers of infants in inpatient settings. There are no studies to date that look at teaching infant CPR in the emergency department (ED). Using a framework of cognitive load theory, we compared teaching infant CPR to caregivers in a pediatric ED versus an inpatient setting.

METHODS

Knowledge tests, 1-minute infant CPR performances on a Resusci Baby QCPR (Laerdal) manikin, and self-reported questionnaires were completed before and after caregivers were self-taught infant CPR using Infant CPR Anytime kits. The proportions of chest compression depth and rate that met quality standards from the American Heart Association's Basic Life Support program were measured.

RESULTS

Seventy-four caregivers participated. Mean knowledge scores (out of a total score of 15) increased in both settings (ED preintervention: Mean (M) = 4.53 [SD = 1.97]; ED postintervention: M = 10.47 [SD = 2.90], P < 0.001; inpatient preintervention: M = 4.83 (SD = 2.08); inpatient postintervention: M = 10.61 [SD = 2.79], P < 0.001). Improvement in the proportion of chest compression that met high quality standards for depth increased in the inpatient group only. Neither groups had improvements in compression rates. There were no statistically significant differences in the difficulty of learning CPR, frequency of interruptions/distractions, or difficulty staying concentrated in learning CPR between the 2 settings.

CONCLUSIONS

Caregivers in the ED and inpatient settings after a self-instructional infant CPR kit did not demonstrate adequate infant CPR performance. However, both groups gained infant CPR knowledge. Differences in cognitive loads between the 2 settings were not significant.

High platelet-lymphocyte ratio is a risk factor for 30-day mortality in in-hospital cardiac arrest patients: a case-control study

OBJECTIVES

This study explored the association of early dynamic changes in inflammatory markers with 30-day mortality in in-hospital cardiac arrest (IHCA) patients.

METHODS

This study retrospectively enrolled 85 IHCA patients. The outcome was 30-day mortality. A linear mixed model was used to analyze the dynamic changes in laboratory indicators within 72 h after recovery of spontaneous circulation(ROSC).

RESULTS

Within 72 h after ROSC, the absolute monocyte count (AMC) showed no significant change trend, and the absolute lymphocyte count (ALC) showed an overall upward trend, while the absolute neutral count (ANC), white blood cell (WBC) count, platelet (PLT) count, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) showed overall downward trends. Cox multivariate analysis showed that the Charlson comorbidity index (CCI) (HR = 2.37, 95%CI (1.08, 5.17)), Acute Physiology and Chronic Health Evaluation II (APACHE II) score (HR = 2.55, 95% CI (1.00, 6.50)), abnormal creatinine level before IHCA (HR = 3.42, 95% CI (1.44, 8.10)) and PLR within 72 h after ROSC (HR = 2.99, 95% CI (1.44, 6.21)) were independent risk factors for 30-day mortality.

CONCLUSIONS

The PLR can be used as a predictor of 30-day mortality in IHCA patients.

Resuscitation Team Roles and Responsibilities: In-Hospital Cardiopulmonary Arrest Teams

Patients who experience an in-hospital cardiopulmonary arrest event often have poor outcomes. Those outcomes are influenced by institutional factors, including the effectiveness of the responding team. Two main types of response teams may exist for in-hospital settings: basic life support trained staff providing initial interventions, and advanced cardiac life support teams. The interface between these two responses, and differences in discipline, experience, and skill mix, adds complexity to team dynamics. In-hospital cardiopulmonary arrest teams benefit from addressing these and other factors, which may lead to lack of clarity in role and responsibility identification and ultimately team performance.

Role of a rapid response system and code status discussion as determinants of prognosis for critical inpatients: An observational study in a Japanese urban hospital

Rapid response systems (RRS) have been introduced worldwide to reduce unpredicted in-hospital cardiac arrest (IHCA) and in-hospital mortality. The role of advance care planning (ACP) in the management of critical patients has not yet been fully determined in Japan.We retrospectively assessed the characteristics of all inpatients with unpredicted IHCA in our hospital between 2016 and 2018. Yearly changes in the number of RRS activations and the incidence of unpredicted IHCA with or without code status discussion were evaluated from 2014 to 2018. Hospital standardized mortality ratios were assessed from the data reported in the annual reports by the National Hospital Organization.A total of 81 patients (age: 70.9 ± 13.3 years) suffered an unpredicted IHCA and had multiple background diseases, including heart disease (75.3%), chronic kidney disease (25.9%), and postoperative status (cardiovascular surgery, 18.5%). Most of the patients manifested non-shockable rhythms (69.1%); survival to hospital discharge rate was markedly lower than that with shockable rhythms (26.8% vs 72.0%, P < .001). The hospital standardized mortality ratios was maintained nearly constant at approximately 50.0% for 3 consecutive years. The number of cases of RRS activation markedly increased from 75 in 2014 to 274 patients in 2018; conversely, the number of unpredicted IHCA cases was reduced from 40 in 2014 to 18 in 2018 (P < .001). Considering the data obtained in 2014 and 2015 as references, the RRS led to a reduction in the relative risk of unpredicted IHCA from 2016 to 2018 (ie, 0.618, 95% confidence interval 0.453-0.843). The reduction in unpredicted IHCA was attributed partly to the increased number of patients who had discussed the code status, and a significant correlation was observed between these parameters (R2 = 0.992, P < .001). The reduction in the number of patients with end-stage disease, including congestive heart failure and chronic renal failure, paralleled the incidence of unpredicted IHCA.Both RRS and ACP reduced the incidence of unpredicted IHCA; RRS prevents progression to unpredicted IHCA, whereas ACP decreases the number of patients with no code status discussion and thus potentially reducing the patient subgroup progressing to an unpredicted IHCA.