Evaluation of the blue code system established in the health campus of a university hospital
OBJECTIVE: We report the hospital outcomes after implementing the blue code system in our hospital and health campus. We also aimed to determine factors related to mortality. METHODS: This is a retrospective observational study of the patients who received cardiopulmonary resuscitation (CPR). All bl...
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Wolters Kluwer Medknow Publications
2021-01-01
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doaj-e5e3953849b74bafb2dd87624fb311cf2021-02-03T07:13:34ZengWolters Kluwer Medknow PublicationsTurkish Journal of Emergency Medicine2452-24732452-24732021-01-01211141910.4103/2452-2473.301912Evaluation of the blue code system established in the health campus of a university hospitalArzu TopeliBanu CakirOBJECTIVE: We report the hospital outcomes after implementing the blue code system in our hospital and health campus. We also aimed to determine factors related to mortality. METHODS: This is a retrospective observational study of the patients who received cardiopulmonary resuscitation (CPR). All blue code calls for all age groups between March 15, 2013, and April 30, 2015 were analyzed. Logistic regression analysis was performed to find independent predictors of in-hospital mortality. RESULTS: A total of 155 patients from the blue code calls were evaluated. Return of spontaneous circulation was achieved in 45.5% of patients, and 54.8% of the patients had died at the end of the CPR. The hospital discharge rate was 20%. Of all patients, 65% were adults with a survival rate of 7.9%, whereas pediatric patients had a 44.2% survival rate. Asystole and pulseless electrical activity were the predominant electrocardiography rhythms in 92.4% of patients. The comparison of survivors and nonsurvivors revealed that nonsurvivors were older, had more cancer as the comorbidity, had a more cardiac arrest, and sepsis as the underlying cause and had >20 min of CPR. The logistic regression analysis demonstrated the independent risk factors for mortality as arrest at a hospital ward, and sepsis as the underlying cause and being adult patient. CONCLUSION: The performance of the blue code system should be evaluated periodically. Every effort should be made to prevent unexpected cardiac arrests and increase hospital discharge with good neurologic outcomes.http://www.turkjemergmed.org/article.asp?issn=2452-2473;year=2021;volume=21;issue=1;spage=14;epage=19;aulast=Topelicardiac arrestcardiopulmonary resuscitationmedical emergency teammortalitysurvival |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arzu Topeli Banu Cakir |
spellingShingle |
Arzu Topeli Banu Cakir Evaluation of the blue code system established in the health campus of a university hospital Turkish Journal of Emergency Medicine cardiac arrest cardiopulmonary resuscitation medical emergency team mortality survival |
author_facet |
Arzu Topeli Banu Cakir |
author_sort |
Arzu Topeli |
title |
Evaluation of the blue code system established in the health campus of a university hospital |
title_short |
Evaluation of the blue code system established in the health campus of a university hospital |
title_full |
Evaluation of the blue code system established in the health campus of a university hospital |
title_fullStr |
Evaluation of the blue code system established in the health campus of a university hospital |
title_full_unstemmed |
Evaluation of the blue code system established in the health campus of a university hospital |
title_sort |
evaluation of the blue code system established in the health campus of a university hospital |
publisher |
Wolters Kluwer Medknow Publications |
series |
Turkish Journal of Emergency Medicine |
issn |
2452-2473 2452-2473 |
publishDate |
2021-01-01 |
description |
OBJECTIVE: We report the hospital outcomes after implementing the blue code system in our hospital and health campus. We also aimed to determine factors related to mortality.
METHODS: This is a retrospective observational study of the patients who received cardiopulmonary resuscitation (CPR). All blue code calls for all age groups between March 15, 2013, and April 30, 2015 were analyzed. Logistic regression analysis was performed to find independent predictors of in-hospital mortality.
RESULTS: A total of 155 patients from the blue code calls were evaluated. Return of spontaneous circulation was achieved in 45.5% of patients, and 54.8% of the patients had died at the end of the CPR. The hospital discharge rate was 20%. Of all patients, 65% were adults with a survival rate of 7.9%, whereas pediatric patients had a 44.2% survival rate. Asystole and pulseless electrical activity were the predominant electrocardiography rhythms in 92.4% of patients. The comparison of survivors and nonsurvivors revealed that nonsurvivors were older, had more cancer as the comorbidity, had a more cardiac arrest, and sepsis as the underlying cause and had >20 min of CPR. The logistic regression analysis demonstrated the independent risk factors for mortality as arrest at a hospital ward, and sepsis as the underlying cause and being adult patient.
CONCLUSION: The performance of the blue code system should be evaluated periodically. Every effort should be made to prevent unexpected cardiac arrests and increase hospital discharge with good neurologic outcomes. |
topic |
cardiac arrest cardiopulmonary resuscitation medical emergency team mortality survival |
url |
http://www.turkjemergmed.org/article.asp?issn=2452-2473;year=2021;volume=21;issue=1;spage=14;epage=19;aulast=Topeli |
work_keys_str_mv |
AT arzutopeli evaluationofthebluecodesystemestablishedinthehealthcampusofauniversityhospital AT banucakir evaluationofthebluecodesystemestablishedinthehealthcampusofauniversityhospital |
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