Acute and Critical Care

Original Articles

Rapid response system
Rapid Response Systems Reduce In-Hospital Cardiopulmonary Arrest: A Pilot Study and Motivation for a Nationwide Survey: Yeonhee Park, Jong-Joon Ahn, Byung Ju Kang, Young Seok Lee, Sang-Ook Ha, Jin-Soo Min, Woo-Hyun Cho, Se-Hee Na, Dong-Hyun Lee, Seung-Yong Park, Goo-Hyeon Hong, Hyun-Jung Kim, Sangwoo Shim, Jung-Hyun Kim, Seok-Jeong Lee, So-Young Park, Jae Young Moon; Korean J Crit Care Med. 2017;32(3):231-239. Published online August 31, 2017; DOI: https://doi.org/10.4266/kjccm.2017.00024

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Background
Early recognition of the signs and symptoms of clinical deterioration could diminish the incidence of cardiopulmonary arrest. The present study investigates outcomes with respect to cardiopulmonary arrest rates in institutions with and without rapid response systems (RRSs) and the current level of cardiopulmonary arrest rate in tertiary hospitals. Methods: This was a retrospective study based on data from 14 tertiary hospitals. Cardiopulmonary resuscitation (CPR) rate reports were obtained from each hospital to include the number of cardiopulmonary arrest events in adult patients in the general ward, the annual adult admission statistics, and the structure of the RRS if present. Results: Hospitals with RRSs showed a statistically significant reduction of the CPR rate between 2013 and 2015 (odds ratio [OR], 0.731; 95% confidence interval [CI], 0.577 to 0.927; P = 0.009). Nevertheless, CPR rates of 2013 and 2015 did not change in hospitals without RRS (OR, 0.988; 95% CI, 0.868 to 1.124; P = 0.854). National university-affiliated hospitals showed less cardiopulmonary arrest rate than private university-affiliated in 2015 (1.92 vs. 2.40; OR, 0.800; 95% CI, 0.702 to 0.912; P = 0.001). High-volume hospitals showed lower cardiopulmonary arrest rates compared with medium-volume hospitals in 2013 (1.76 vs. 2.63; OR, 0.667; 95% CI, 0.577 to 0.772; P < 0.001) and in 2015 (1.55 vs. 3.20; OR, 0.485; 95% CI, 0.428 to 0.550; P < 0.001). Conclusions: RRSs may be a feasible option to reduce the CPR rate. The discrepancy in cardiopulmonary arrest rates suggests further research should include a nationwide survey to tease out factors involved in in-hospital cardiopulmonary arrest and differences in outcomes based on hospital characteristics.

Citations

Citations to this article as recorded by

Society of Critical Care Medicine Guidelines on Recognizing and Responding to Clinical Deterioration Outside the ICU: 2023
Kimia Honarmand, Randy S. Wax, Daleen Penoyer, Geoffery Lighthall, Valerie Danesh, Bram Rochwerg, Michael L. Cheatham, Daniel P. Davis, Michael DeVita, James Downar, Dana Edelson, Alison Fox-Robichaud, Shigeki Fujitani, Raeann M. Fuller, Helen Haskell, Ma
Critical Care Medicine.2024; 52(2): 314. CrossRef
2020 Korean Guidelines for Cardiopulmonary Resuscitation. Part 4. Adult advanced life support
Jaehoon Oh, Kyoung-Chul Cha, Jong-Hwan Lee, Seungmin Park, Dong-Hyeok Kim, Byung Kook Lee, Jung Soo Park, Woo Jin Jung, Dong Keon Lee, Young Il Roh, Tae Youn Kim, Sung Phil Chung, Young-Min Kim, June Dong Park, Han-Suk Kim, Mi Jin Lee, Sang-Hoon Na, Gyu C
Clinical and Experimental Emergency Medicine.2021; 8(S): S26. CrossRef
Intensivists' Direct Management without Residents May Improve the Survival Rate Compared to High-Intensity Intensivist Staffing in Academic Intensive Care Units: Retrospective and Crossover Study Design
Jin Hyoung Kim, Jihye Kim, SooHyun Bae, Taehoon Lee, Jong-Joon Ahn, Byung Ju Kang
Journal of Korean Medical Science.2020;[Epub] CrossRef
Influence of the Rapid Response Team Activation via Screening by Nurses on Unplanned Intensive Care Unit Admissions
Ye-Ji Huh, Seongmi Moon, Eun Kyeung Song, Minyoung Kim
Korean Journal of Adult Nursing.2020; 32(5): 539. CrossRef
Rapid response systems in Korea
Bo Young Lee, Sang-Bum Hong
Acute and Critical Care.2019; 34(2): 108. CrossRef

Rapid response system
Epidemiology and Clinical Characteristics of Rapid Response Team Activations: Sei Won Kim, Hwa Young Lee, Mi Ra Han, Yong Suk Lee, Eun Hyoung Kang, Eun Ju Jang, Keum Sook Jeun, Seok Chan Kim; Korean J Crit Care Med. 2017;32(2):124-132. Published online May 31, 2017; DOI: https://doi.org/10.4266/kjccm.2017.00199

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Abstract PDF

Background
To ensure patient safety and improvements in the quality of hospital care, rapid response teams (RRTs) have been implemented in many countries, including Korea. The goal of an RRT is early identification and response to clinical deterioration in patients. However, there are differences in RRT systems among hospitals and limited data are available.
Methods
In Seoul St. Mary’s Hospital, the St. Mary’s Advanced Life Support Team was implemented in June 2013. We retrospectively reviewed the RRT activation records of 287 cases from June 2013 to December 2016.
Results
The median response time and median modified early warning score were 8.6 minutes (interquartile range, 5.6 to 11.6 minutes) and 5.0 points (interquartile range, 4.0 to 7.0 points), respectively. Residents (35.8%) and nurses (59.1%) were the main activators of the RRT. Interestingly, postoperative patients account for a large percentage of the RRT activation cases (69.3%). The survival rate was 83.6% and survival was mainly associated with malignancy, Acute Physiology and Chronic Health Evaluation-II score, and the time from admission to RRT activation. RRT activation with screening showed a better outcome compared to activation via a phone call in terms of the intensive care unit admission rate and length of hospital stay after RRT activation.
Conclusions
Malignancy was the most important factor related to survival. In addition, RRT activation with patient screening showed a better outcome compared to activation via a phone call. Further studies are needed to determine the effective screening criteria and improve the quality of the RRT system.

Citations

Citations to this article as recorded by

Development of a comprehensive model for the role of the rapid response team nurse
Youn-Hui Won, Jiyeon Kang
Intensive and Critical Care Nursing.2022; 68: 103136. CrossRef
Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS)
Ehsan Ullah, Mirza Mansoor Baig, Hamid GholamHosseini, Jun Lu
Heliyon.2022; 8(2): e08944. CrossRef
Neurological Emergencies in Patients Hospitalized With Nonneurological Illness
Sang-Beom Jeon, Han-Bin Lee, Yong Seo Koo, Hyunjo Lee, Jung Hwa Lee, Bobin Park, Soh Hyun Choi, Suyeon Jeong, Jun Young Chang, Sang-Bum Hong, Chae-Man Lim, Sang-Ahm Lee
Journal of Patient Safety.2021; 17(8): e1332. CrossRef
Rapid response systems in Korea
Bo Young Lee, Sang-Bum Hong
Acute and Critical Care.2019; 34(2): 108. CrossRef

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