Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT06012838 |
Other study ID # |
202207125RIND |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
August 10, 2022 |
Est. completion date |
November 10, 2022 |
Study information
Verified date |
August 2023 |
Source |
National Taiwan University Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
The cause of cardiac arrest mostly determines outcomes of cardiac arrest survivors.
Identifying and treating the cause of cardiac arrest constitute a critical part in
post-arrest care. However, the pathophysiology of cardiac arrest often encompasses multiple
organ systems. Thus, forming accurate diagnosis for each case presents a daunting challenge,
especially for unexperienced physicians. This study aims to evaluate whether a standardized
protocol would improve the diagnostic proficiency for out-of-hospital cardiac arrest (OHCA)
patients.
Sixteen Emergency Medicine Residents from National Taiwan University Hospital participated in
this study. The cause classification of OHCA (CCCA) protocol was developed by an expert
cardiac arrest committee, and a lecture concerning the Utstein's template, the epidemiology
of cardiac arrest and the CCCA protocol was addressed. Pre-/post-lecture questionnaires
regarding self-assessed diagnostic certainty and knowledge of cardiac arrest were obtained
and compared to evaluate participants' learning effectiveness. To validate the efficiency of
protocol, medical records of 586 non-traumatic OHCA adults with successful resuscitation and
ICU admission were reviewed retrospectively, and the OHCA cause of each patient was
identified by the trained residents following CCCA protocol. The primary outcome was the
diagnostic consistency between protocolized diagnosis, expert diagnosis and the discharge
diagnosis
Description:
To identify the classification of OHCA cause, the cause classification of OHCA (CCCA)
protocol was established based on previous studies, expert physician's experience and
questionnaire of young physicians.
Residents from emergency department of National Taiwan University Hospital participated the
program and received the lecture concerning the Utstein's template, the epidemiology of
cardiac arrest, interpretation of examinations, and the CCCA protocol. To evaluate the
learning effect of the lecture, pre-lecture and post-lecture questionnaire were designed,
which included the knowledge for OHCA classification, confidence for correct diagnosis during
CPR and after return of spontaneous circulation (ROSC), and the mandatory examinations for
cause identification. Confidence level more than 50% was recognized as sufficient to make
proper cause identification. The enrolled residents were asked to review the medical records
of 3 non-traumatic adult OHCA patients before lecture and identified the OHCA cause by their
own without the assist of the CCCA protocol. After lecture, another 3 medical records were
reviewed by the participants with the use of the CCAC protocol. The consistency of OHCA cause
between young physicians were evaluated before and after lecture, respectively.
To validate the efficiency of the CCCA protocol, these trained residents further identified
the arrest cause of 586 non-traumatic adult OHCA patients who survived to ICU admission from
January 2015 to July 2021 in NTUH following the established protocol.
The primary outcome was the consistency of OHCA cause between protocolized diagnosis, expert
diagnosis and the discharge diagnosis. The diagnosis made by young physicians with protocol
defined as protocolized diagnosis. The expert physician is an experienced emergency
physicians specialized in both emergency and critical care, who has reviewed the medical
records without the assistance of the established CCCA protocol. Expert diagnosis was
recognized as diagnosis identified by expert physician. The discharge diagnosis is the major
diagnosis related to index cardiac arrest.
Categorical variables are presented as numbers (percentages) and evaluated by the Chi-Squared
test. The continuous variables are presented as mean ± standard deviation. The Light's kappa
was used to evaluate the consistency of OHCA classification. The value ≤ 0.40 indicates
minimal agreement, while value ≥ 0.80 represent strong and almost perfect consistency16-17.
The statistical significance was set at p <0.05. All statistical analyses were performed
using Statistical Package for Social Sciences Statistics (version 21.0; IBM, Chicago, IL,
USA).