Association between rapid response systems and new-onset brain disability following in-hospital cardiac arrest: A nationwide cohort study

The impact of implementing a rapid response system: A comparison of cardiopulmonary arrests and mortality among four teaching hospitals in Australia

Most studies on rapid response system (RRS) have simply focused on its role and effectiveness in reducing in-hospital cardiac arrests (IHCAs) or hospital mortality, regardless of the predictability of IHCA. This study aimed to identify the characteristics of IHCAs including predictability of the IHCAs as our RRS matures for 10 years, to determine the best measure for RRS evaluation. Data on all consecutive adult patients who experienced IHCA and received cardiopulmonary resuscitation in general wards between January 2010 and December 2019 were reviewed. IHCAs were classified into three groups: preventable IHCA (P-IHCA), non-preventable IHCA (NP-IHCA), and inevitable IHCA (I-IHCA). The annual changes of three groups of IHCAs were analyzed with Poisson regression models. Of a total of 800 IHCA patients, 149 (18.6%) had P-IHCA, 465 (58.1%) had NP-IHCA, and 186 (23.2%) had I-IHCA. The number of the RRS activations increased significantly from 1,164 in 2010 to 1,560 in 2019 (P = 0.009), and in-hospital mortality rate was significantly decreased from 9.20/1,000 patients in 2010 to 7.23/1000 patients in 2019 (P = 0.009). The trend for the overall IHCA rate was stable, from 0.77/1,000 patients in 2010 to 1.06/1,000 patients in 2019 (P = 0.929). However, while the incidence of NP-IHCA (P = 0.927) and I-IHCA (P = 0.421) was relatively unchanged over time, the incidence of P-IHCA decreased from 0.19/1,000 patients in 2010 to 0.12/1,000 patients in 2019 (P = 0.025). The incidence of P-IHCA could be a quality metric to measure the clinical outcomes of RRS implementation and maturation than overall IHCAs.

BackgroundMost studies on rapid response system (RRS) have simply focused on its role and effectiveness in reducing in-hospital cardiac arrests (IHCAs) or hospital mortality, regardless of the predictability of IHCA. This study aimed to identify the characteristics of IHCAs including predictability of the IHCAs as our RRS matures for 10 years, to determine the best measure for RRS evaluation.MethodsData on all consecutive adult patients who experienced IHCA and received cardiopulmonary resuscitation in general wards between January 2010 and December 2019 were reviewed. IHCAs were classified into three groups: preventable IHCA (P-IHCA), non-preventable IHCA (NP-IHCA), and inevitable IHCA (I-IHCA). The annual changes of three groups of IHCAs were analyzed with Poisson regression models.ResultsOf a total of 800 IHCA patients, 149 (18.6%) had P-IHCA, 465 (58.1%) had NP-IHCA, and 186 (23.2%) had I-IHCA. The number of the RRS activations increased significantly from 1,164 in 2010 to 1,560 in 2019 (P = 0.009), and in-hospital mortality rate was significantly decreased from 9.20/1,000 patients in 2010 to 7.23/1000 patients in 2019 (P = 0.009). The trend for the overall IHCA rate was stable, from 0.77/1,000 patients in 2010 to 1.06/1,000 patients in 2019 (P = 0.929). However, while the incidence of NP-IHCA (P = 0.927) and I-IHCA (P = 0.421) was relatively unchanged over time, the incidence of P-IHCA decreased from 0.19/1,000 patients in 2010 to 0.12/1,000 patients in 2019 (P = 0.025).ConclusionsThe incidence of P-IHCA could be a quality metric to measure the clinical outcomes of RRS implementation and maturation than overall IHCAs.

In-hospital cardiac arrest is an important issue in health care today. Data regarding in-hospital cardiac arrest in Japan is limited. In Australia and the USA, the Rapid Response System has been implemented in many institutions and data regarding in-hospital cardiac arrest are collected to evaluate the efficacy of the Rapid Response System. This is a multicenter retrospective survey of in-hospital cardiac arrest, providing data before implementing a Rapid Response System. Ten institutions planning to introduce a Rapid Response System were recruited to collect in-hospital cardiac arrest data. The Institutional Review Board at each participating institution approved this study. Data for patients admitted at each institution from April 1, 2011 until March 31, 2012 were extracted using the three keywords "closed-chest compression", "epinephrine", and "defibrillation". Patients under 18 years old, or who suffered cardiac arrest in the emergency room or the intensive care unit were excluded. A total of 228 patients in 10 institutions were identified. The average age was 73 ± 13 years. Males represented 64% of the patients (82/146). Overall survival after in-hospital cardiac arrest was 7% (16/228). Possibly preventable cardiac arrests represented 15% (33/228) of patients, with medical safety issues identified in 8% (19/228). Vital sign abnormalities before cardiac arrest were observed in 63% (138/216) of patients. Approximately 60% of patients had abnormal vital signs before cardiac arrest. These patients may have an improved clinical outcome by implementing a Rapid Response System.

To understand the changes in the population incidence of inhospital cardiopulmonary arrest (IHCA) and mortality associated with the introduction of rapid response systems (RRSs). Population-based study of 9 221 138 hospital admissions in 82 public acute hospitals in New South Wales, using data linked to a death registry, from 1 Jan 2002 to 31 Dec 2009. Changes in IHCA, IHCA-related mortality, hospital mortality and proportion of IHCA patients surviving to hospital discharge. RRS uptake increased from 32% in 2002 to 74% in 2009. This increase was associated with a 52% decrease in IHCA rate, a 55% decrease in IHCA-related mortality rate, a 23% decrease in hospital mortality rate and a 15% increase in survival to discharge after an IHCA (all P < 0.01). The adjusted absolute reductions in IHCA-related mortality and hospital mortality were 1.49 (95% CI, 1.30-1.68) and 4.05 (95% CI, 3.17-4.76) patients per 1000 admissions, respectively. The decrease in IHCA incidence rate accounted for 95% of the reduction in IHCA-related mortality. In contrast, the increase in IHCA survival accounted for only 5% of the reduction in IHCA-related mortality. During nearly a decade, as RRSs were progressively introduced, there was a coincidental reduction in IHCA, IHCA-related deaths and hospital mortality and an increased survival to hospital discharge after an IHCA. Reduced IHCA incidence, rather than improved postcardiac arrest survival, was the main contributor to the reduction in IHCA mortality.

Descriptive cross-sectional, internet-based survey. Cohort of preidentified clinicians involved in their hospital's adult rapid response system across the United States. Clinicians who had been identified by study team members using personal and professional contacts over a 7-month period from June 2018 to December 2018. An 80-item survey was developed by the investigators. It sought information on the afferent (identification and notification of providers) and efferent (response of providers to patient) limbs of the rapid response system, as well as management of patients post in-hospital cardiac arrest. One-hundred fourteen surveys were distributed. Of these, 109 (96%) were completed. Six were duplicates and were excluded, leaving a total of 103 surveys from 103 hospitals in 30 states. Seventy-six percent of hospitals were academic, 30% were large hospitals (> 750 inpatient beds), and 58% had large ICUs (> 50 ICU beds). We found wide variation in the structure and function in both the afferent and efferent limbs of the rapid response system. The majority of hospitals had a rapid response team and a cardiac arrest team. Most rapid response teams contained a provider, a critical care nurse, and a respiratory therapist. In hospitals with training programs in internal medicine, anesthesia, emergency medicine, or critical care, 45% of rapid response teams and 75% of cardiac arrest teams were led by trainees, with inconsistent attending presence. Targeted temperature management and coronary catheterization were widely used post in-hospital cardiac arrest, but indications varied considerably. We have demonstrated substantial variation in the structure and function of rapid response systems as well as in management of patients during and after in-hospital cardiac arrest.

BackgroundClinical deteriorations during hospitalization are often preventable with a rapid response system (RRS). We aimed to investigate the effectiveness of a daytime RRS for surgical hospitalized patients.MethodsA retrospective cohort study was conducted in 20 general surgical wards at a 1,779-bed University hospital from August 2013 to July 2017 (August 2013 to July 2015, pre-RRS-period; August 2015 to July 2017, post-RRS-period). The primary outcome was incidence of cardiopulmonary arrest (CPA) when the RRS was operating. The secondary outcomes were the incidence of total and preventable cardiopulmonary arrest, in-hospital mortality, the percentage of “do not resuscitate” orders, and the survival of discharged CPA patients.ResultsThe relative risk (RR) of CPA per 1,000 admissions during RRS operational hours (weekdays from 7 AM to 7 PM) in the post-RRS-period compared to the pre-RRS-period was 0.53 (95% confidence interval [CI], 0.25 to 1.13; P=0.099) and the RR of total CPA regardless of RRS operating hours was 0.76 (95% CI, 0.46 to 1.28; P=0.301). The preventable CPA after RRS implementation was significantly lower than that before RRS implementation (RR, 0.31; 95% CI, 0.11 to 0.88; P=0.028). There were no statistical differences in in-hospital mortality and the survival rate of patients with in-hospital cardiac arrest. Do-not-resuscitate decisions significantly increased during after RRS implementation periods compared to pre-RRS periods (RR, 1.91; 95% CI, 1.40 to 2.59; P<0.001).ConclusionsThe day-time implementation of the RRS did not significantly reduce the rate of CPA whereas the system effectively reduced the rate of preventable CPA during periods when the system was operating.

The limitations of current early warning scores have prompted the development of deep learning-based systems, such as deep learning-based cardiac arrest risk management systems (DeepCARS). Unfortunately, in South Korea, only two institutions operate 24-hour Rapid Response System (RRS), whereas most hospitals have part-time or no RRS coverage at all. This study validated the predictive performance of DeepCARS during RRS operation and nonoperation periods and explored its potential beyond RRS operating hours. Retrospective cohort study. In this 1-year retrospective study conducted at Yonsei University Health System Severance Hospital in South Korea, DeepCARS was compared with conventional early warning systems for predicting in-hospital cardiac arrest (IHCA). The study focused on adult patients admitted to the general ward, with the primary outcome being IHCA-prediction performance within 24 hours of the alarm. We analyzed the data records of adult patients admitted to a general ward from September 1, 2019, to August 31, 2020. None. Performance evaluation was conducted separately for the operational and nonoperational periods of the RRS, using the area under the receiver operating characteristic curve (AUROC) as the metric. DeepCARS demonstrated a superior AUROC as compared with the Modified Early Warning Score (MEWS) and the National Early Warning Score (NEWS), both during RRS operating and nonoperating hours. Although the MEWS and NEWS exhibited varying performance across the two periods, DeepCARS showed consistent performance. The accuracy and efficiency for predicting IHCA of DeepCARS were superior to that of conventional methods, regardless of whether the RRS was in operation. These findings emphasize that DeepCARS is an effective screening tool suitable for hospitals with full-time RRS, part-time RRS, and even those without any RRS.

Background: Resuscitation guidelines have been improved every five years using ILCOR international consensus and outcomes for out-of-hospital cardiac arrest improved. However, it remained unknown whether the outcome of in-hospital cardiac arrest has improved. The purpose of this research is to compare the outcomes of multicenter registrations in Japan and to consider the role of rapid response system (RRS). Methods: We compared the two multicenter prospective registrations for adult in-hospital cardiac arrest conducted in Japan. We compared the outcome of Japanese Registry of CPR (J-RCPR,12 hospitals) conducted in the "Guideline 2005" era and Japanese Registry for Survey Of in-hospital Resuscitation Trial (J-RESORT,8 hospitals) conducted in the "Guidelines 2010" era. We searched the number of hospitals participating in the rapid response system multicenter collaborative research (RRS) conducted in Japan. Results: J-RCPR had 491 cases, mean age 71 ± 15 years old, male 63%(311/491), J-RESORT 284 cases, mean age 72 ± 17 years old, male 68%(193/284). ROSC rate was 64.7% (318/491), 77.5% (220/284), respectively (p&lt;0.05). The survival rate after 24 hours was 49.8% (245/491), 50.7% (144/284) (NS), the survival rate after 30 days was 27.8% (137/491), 33.1% (94/284) (NS), and the favorable neurological outcome rate (CPC 1 or CPC 2) was 21.4% (105/491), 22.9% (65/284) (NS), respectively. The proportion of witnessed cardiac arrest was 77.2% (379/491), 81.7% (232/284) (NS), the location of incidence in general wards was 54.0% (265/491), 46.1% (131/284) (NS), and the shockable rhythm was 28.1% (138/491), 22.5% (64/284) (NS), respectively. In both registries, the median interval from the occurrence of cardiac arrest to the initiation of resuscitation was 0 min. The proportion of participating hospitals to RRS was only 6 facilities in 2013 and increased to 41 facilities in 2016, but still less than 1% of the total number of hospitals in Japan. Conclusion: This study showed no improvement in the outcome of in-hospital cardiac arrest and very few hospitals using RRS during the past 10 years. To improve the outcome of the in-hospital cardiac arrest, it is necessary to investigate the nation-wide status of in-hospital cardiac arrest and the effectiveness of RRS.

Rapid response systems (RRSs) have been introduced into hospitals to help reduce the incidence of sudden cardiopulmonary arrest (CPA). This study evaluated whether an RRS reduces the incidence of in-hospital postoperative CPA. This retrospective before-and-after analysis evaluated data collected from electronic medical records during a pre-intervention (January 2008 to September 2012) and post-intervention (implementation of an RRS) interval (October 2012 to December 2016) at a single tertiary care institution. The primary outcome was a change in the rate of CPA in surgical patients recovering in a general ward. A Poisson regression analysis adjusted for the Charlson Comorbidity Index (CCI) was used to compare CPA rates during these two intervals. Of the 207,054 surgical procedures performed during the study period, mean (95% confidence interval [CI]) CPA events per 10,000 cases of 7.46 (5.72 to 9.19) and 5.19 (3.85 to 6.52) were recorded before and after RRS intervention, respectively (relative risk [RR], 0.73; 97.5% CI, 0.48 to 1.13; P = 0.103). Cardiopulmonary arrest incidence was reduced during RRS operational hours of 07:00-22:00 Monday-Friday and 07:00-12:00 Saturday (RR, 0.56; 97.5% CI, 0.31 to 1.02; P = 0.027) but was unchanged when the RRS was not operational (RR, 0.86; 97.5% CI, 0.52 to 1.40; P = 0.534). The CCI-adjusted RR of CPA after RRS implementation was lower than before RRS intervention (0.63; 97.5% CI, 0.41 to 0.98; P = 0.018) but this reduction was still only apparent during RRS operational hours (RR, 0.48; 97.5% CI, 0.27 to 0.89; P = 0.008 vs RR, 0.85; 97.5% CI, 0.45 to 1.58; P = 0.55). Implementation of an RRS reduced the incidence of postoperative CPA in patients recovering in a general ward. Furthermore, this reduction was observed only during RRS operational hours.

The beneficial effects of a rapid response system (RRS) on clinical outcomes in patients admitted to a ward have been established. However, the relationship between RRS implementation and clinical outcomes in patients in the intensive care unit (ICU) has not yet been established. Therefore, we aimed to investigate whether the RRS affects clinical outcomes in critically ill patients admitted to the ICU. As a nationwide, population-based cohort study, all adult patients who were admitted to the ICU from 1 January 2019 to 31 December 2021 in South Korea were included. Patients in hospitals with an RRS formed the RRS group; those in hospitals lacking an RRS constituted the non-RRS group. In total, 900,606 patients admitted to the ICU were included in the final analysis. Among them, 365,305 (40.6%) were assigned to the RRS group, and 535,301 (59.4%) were assigned to the non-RRS group. After propensity score (PS) matching, a total of 454,748 patients (227,374 in each group) were included in the final analysis. In the PS-matched cohort, the RRS group showed 8% (odds ratio [OR]: 0.92, 95% confidence interval [CI]: 0.91, 0.94; P < 0.001) and 11% (hazard ratio: 0.89, 95% CI: 0.88, 0.90; P < 0.001) lower in-hospital mortality rates and 1-year all-cause mortality rates than the non-RRS group, respectively. In addition, ICU readmission rates and the occurrence rate for adverse events during hospitalization in the RRS group were 3% (OR: 0.97, 95% CI: 0.95, 0.98; P < 0.001) and 21% (OR: 0.79, 95% CI: 0.78, 0.80; P < 0.001) lower than those in the non-RRS group, respectively. RRS deployment was linked to lower in-hospital and 1-year all-cause mortality rates, ICU readmission rates, and the occurrence of adverse events during hospitalization among ICU patients. The findings indicate that using the RRS could assist not only patients in the ward but also critically ill patients in the ICU.

Avoiding adult in-hospital cardiac arrest: A retrospective cohort study to determine preventability

Hospitals use rapid response systems (RRSs) to identify and treat patients whose conditions rapidly worsen after admission. However, no study has examined the effects of RRS deployment on the clinical outcomes of patients undergoing cranial neurosurgery. Thus, the authors investigated whether use of RRS affects clinical outcomes in these patients. This nationwide, retrospective, population-based cohort study included adult patients who underwent cranial neurosurgery in South Korea between January 1, 2019, and December 31, 2021. The authors classified patients admitted to hospitals that operated RRS into the RRS group and those admitted to hospitals that did not operate RRS into the non-RRS group. Overall, 73,600 hospitalized patients who underwent cranial neurosurgery were included in this study. These patients were divided into 2 groups: 38,544 (52.4%) were included in the RRS group and 35,066 (47.6%) in the non-RRS group. After propensity score matching, 40,058 patients (20,029 in each group) remained. The in-hospital mortality rate was 10.1% (2022/20,029) for the non-RRS group and 8.9% (1792/20,029) for the RRS group. In the logistic regression analysis, the in-hospital mortality rate of the RRS group was 12% (OR 0.88, 95% CI 0.82-0.94, p < 0.001) lower than that of the non-RRS group. The 1-year all-cause mortality rate was 26.5% (5300/20,029) in the non-RRS group and 24.6% (4921/20,029) in the RRS group. In the Cox regression analysis, the 1-year all-cause mortality rate of the RRS group was 9% (HR 0.91, 95% CI 0.88-0.95; p < 0.001) lower than that of the non-RRS group. This population-based cohort study revealed that implementing RRS was associated with enhanced short- and long-term survival outcomes in patients who underwent cranial neurosurgery. The authors' findings indicate that the introduction of RRS can enhance patient survival rates after cranial neurosurgery.

The effectiveness of a standardised rapid response system on the reduction of cardiopulmonary arrests and other adverse events among emergency surgical admissions

In-hospital Pediatric Cardiac Arrest in Spain