Clinical Research

The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest

Volume: 5 Number: 1 March 6, 2024
TR EN

The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest

Abstract

Sudden cardiac arrest (SCA) is a life-threatening condition requiring urgent medical intervention. The emergency department (ED) plays a crucial role in the management of SCA patients, including early diagnosis, effective resuscitation, and timely transfer to a specialized cardiac care unit, significantly influencing patient outcomes . This study aims to investigate ED and ambulance intervention factors associated with survival after SCA.

Keywords

Supporting Institution

no

Ethical Statement

Table 1: Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest Factor Odds Ratio (OR) 95% Confidence Interval p Value Age (65 years and older vs. under 65) 1.73 1.32-2.26 <0.001 Gender (Male vs. Female) 1.15 0.97-1.35 0.123 Location of Event (Home vs. Public Area) 0.92 0.78-1.09 0.348 Time of Event (Weekday vs. Weekend) 0.81 0.68-0.97 0.023 Ambulance Arrival Time (≤8 minutes vs. >8 minutes) 1.47 1.17-1.85 0.001 Initial Heart Rhythm (Shockable vs. Non-shockable) 3.29 2.71-3.99 <0.001 Note: Odds Ratio (OR) represents the impact of a specific factor on survival. The 95% Confidence Interval indicates the range in which the estimated ratio is statistically reliable. The p Value is a measure used to assess statistical significance Table 3: Relationship Between Emergency Department Intervention Times and Survival Intervention Time (Minutes) Survival Rate (%) 95% Confidence Interval p Value ≤5 52.3 49.2-55.3 <0.001 6-10 45.8 42.5-49.1 0.012 11-15 38.7 35.2-42.1 0.032 16-20 31.9 28.4-35.5 0.072 >20 26.5 22.8-30.5 0.105 Note: Intervention Time represents the initiation time of the first intervention provided by the emergency department. Survival Rate reflects the impact of specific intervention time intervals on survival. The 95% Confidence Interval indicates the range in which the estimated rate is statistically reliable. The p Value is a measure used to assess statistical significance. ________________________________________ Table 4: Blood Gas Analysis Results and Relevant p Values Parameter Mean Value Standard Deviation p Value pH 7.36 0.04 0.102 PaO2 (mmHg) 85.2 15.6 <0.001 PaCO2 (mmHg) 42.8 6.2 0.025 HCO3- (mEq/L) 25.5 3.1 0.069 SaO2 (%) 94.8 2.6 <0.001 Base Excess -0.5 1.8 0.741 Table 5: Demographic Characteristics of Emergency Department Patients and Related p Values Demographic Characteristics Number Percentage (%) p Value Gender Male 230 45.6 0.024 Female 274 54.4 Age Group <0.001 0-18 78 15.5 19-35 142 28.2 36-55 195 38.7 56 and above 89 17.7 Ethnicity 0.091 Turkish 394 78.1 Other 110 21.9 Smoking Status 0.006 Smoker 162 32.2 Non-smoker 342 67.8 Note: The table presents demographic characteristics of emergency department patients and the corresponding p values. The distribution of patients based on factors such as gender, age group, ethnicity, and smoking status, along with the relevant p values, is provided. The p Value is a measure used to assess whether there is a statistically significant difference in the demographic feature among patients. Starting rhythm also has a significant impact on survival (4). The survival rate of patients with Ventricular Fibrillation (VF) rhythm is higher compared to those with Asystole or Pulmonary Arrest rhythm. Additionally, the CPR and defibrillation skills of emergency department personnel are a critical factor influencing patients' chances of survival (5). Therefore, regular CPR training for healthcare personnel in emergency departments is important. Timing during the treatment process is also a crucial factor. Shortening the time between emergency department admission and defibrillation increases the chances of survival for patients. Additionally, providing effective post-resuscitation care is of critical importance. Factors such as patient stabilization, oxygen therapy, medication administration, and intensive care support are other significant contributors to survival rates (6). Table 6: Demographic Variables and p Values Demographic Variable Group 1 Percentage (%) Group 2 Percentage (%) p Value Age 45 55 0.023 Gender Male: 40
Female: 60 Male: 55
Female: 45 0.087 Ethnicity A: 30
B: 40
C: 30 A: 45
B: 35
C: 20 0.012 The p value in the table indicates whether there is a statistically All ethical responsibility belongs to me.

References

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  2. 2. Baert V, Escutnaire J, Nehme Z, et al.. Development of an online, universal, Utstein registry-based, care practice report card to improve out-of-hospital resuscitation practices. J Eval Clin Pract 2018;24:431–8. 10.1111/jep.12880
  3. 3. Hecht H, Blaha MJ, Berman DS, et al. Clinical indications for coronary artery calcium scoring in asymptomatic patients: expert consensus statement from the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2017;11:157–168. doi: 10.1016/j.jcct.2017.02.010.
  4. 4. Semsarian C, Ingles J, Wilde AAM. Sudden cardiac death in the young: the molecular autopsy and a practical approach to surviving relatives. Eur Heart J 2015;36:1290–6. 10.1093/eurheartj/ehv063
  5. 5. Nanavati PP, Mounsey JP, Pursell IW, et al.. Sudden unexpected death in North Carolina (sudden): methodology review and screening results. Open Heart 2014;1:e000150 10.1136/openhrt-2014-000150
  6. 6. Gliklich RDN, Center OD. Registries for Evaluating Patient Outcomes: A User’s Guide. Rockville, Maryland, 2010.
  7. 7. Bohm P, Scharhag J, Meyer T. Data from a nationwide registry on sports-related sudden cardiac deaths in Germany. Eur J Prev Cardiol 2016;23:649–56. 10.1177/2047487315594087
  8. 8. Aro AL, Rusinaru C, Uy-Evanado A, et al.. Syncope and risk of sudden cardiac arrest in coronary artery disease. Int J Cardiol 2017;231:26–30. 10.1016/j.ijcard.2016.12.021

Details

Primary Language

English

Subjects

Emergency Medicine

Journal Section

Clinical Research

Early Pub Date

April 1, 2024

Publication Date

March 6, 2024

Submission Date

February 12, 2024

Acceptance Date

February 20, 2024

Published in Issue

Year 2024 Volume: 5 Number: 1

APA
Altınsoy, K. E. (2024). The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest. Experimental and Applied Medical Science, 5(1), 1-9. https://doi.org/10.46871/eams.1435952
AMA
1.Altınsoy KE. The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest. Exp Appl Med Sci. 2024;5(1):1-9. doi:10.46871/eams.1435952
Chicago
Altınsoy, Kazım Ersin. 2024. “The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest”. Experimental and Applied Medical Science 5 (1): 1-9. https://doi.org/10.46871/eams.1435952.
EndNote
Altınsoy KE (March 1, 2024) The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest. Experimental and Applied Medical Science 5 1 1–9.
IEEE
[1]K. E. Altınsoy, “The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest”, Exp Appl Med Sci, vol. 5, no. 1, pp. 1–9, Mar. 2024, doi: 10.46871/eams.1435952.
ISNAD
Altınsoy, Kazım Ersin. “The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest”. Experimental and Applied Medical Science 5/1 (March 1, 2024): 1-9. https://doi.org/10.46871/eams.1435952.
JAMA
1.Altınsoy KE. The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest. Exp Appl Med Sci. 2024;5:1–9.
MLA
Altınsoy, Kazım Ersin. “The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest”. Experimental and Applied Medical Science, vol. 5, no. 1, Mar. 2024, pp. 1-9, doi:10.46871/eams.1435952.
Vancouver
1.Kazım Ersin Altınsoy. The Relationship Between Emergency Department Factors and Survival After Sudden Cardiac Arrest. Exp Appl Med Sci. 2024 Mar. 1;5(1):1-9. doi:10.46871/eams.1435952

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