Volume 31, Issue 144 (January & February 2023)                   J Adv Med Biomed Res 2023, 31(144): 40-45 | Back to browse issues page


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Mehdizadeh H, Bahari Z, Zekriamir S, Shahriary H, Behzadnia M J. The Aassociation between Pre-Cardiac Arrest Comorbidity and Unsuccessful Cardiopulmonary Resuscitation in Patients with Cardiac Arrest. J Adv Med Biomed Res 2023; 31 (144) :40-45
URL: http://journal.zums.ac.ir/article-1-6735-en.html
1- Student Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran
2- Dept. of Physiology and Medical Physics, Faculty of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran
3- Trauma Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran , behzadnia@bmsu.ac.ir
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The present study suggested that CABG and CHF had a significant relationship with unsuccessful resuscitation. Furthermore, cardiomyopathy, CABG, renal disease, and poisoning were significantly associated with mortality.


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Introduction
 

Cardiac arrest (CA) is the most common cause of death with poor prognosis, and remains a major public health burden globally (1). CA is characterized as the sudden cessation of spontaneous cardiac mechanical activity, pulmonary ventilation, and circulating blood flow (2). Based on where they occurr, CAs are divided into two types, including out-of-hospital arrests and in-hospital arrests. It is reported that the mortality rate is higher in out-of-hospital arrests than in-hospital arrests (1). Cardiopulmonary resuscitation (CPR) is an attempt to restore cardiac electrical and mechanical activity via various interventions, including early pharmacological interventions, airway interventions, and chest compressions (2, 3). However, survival with good quality of life is rare following CA (3). Hence, clarifying the predictors of CA survival could improve decision making for clinicians when considering the appropriate application of CPR interventions (3). Furthermore, it is critical that patients with poor chance of survival receive high quality care (4). Today, the association between pre-CA comorbidity and the CA outcome in different populations is still unclear. For example, Hirlekar et al., (2018) reported that the most common comorbidities in patients with CA were a history of congestive heart failure (CHF), myocardial infarction, and diabetes (4). It has been established that patient comorbidity can affect the outcome after CA.  Therefore, identifying the risk factors of CA is imperative. Several investigations revealed that pre-CA comorbidity is related to complications following CA with higher mortality rates (5-8). For instance, Andrew et al., evaluated the effect of the Charlson Comorbidity Index (CCI) on survival to hospital discharge of patients with out-of-hospital CA. They reported that reduced odds of survival were associated with increased CCI (1). However, there are conflicting studies in this area. For example, in a prospective study, Beesems et al., found that there was no effective association between pre-history comorbidity and the survival/neurological outcome in older patients with out-of-hospital CA (9). Therefore, to date, the effects of pre-CA comorbidities on the outcomes have not been fully understood (1). The aim of the present study was to investigate the association of pre-existing comorbidity with the mortality rate and unsuccessful CPR (worse outcomes) in all the CA patients (1320 patients) who were admitted to Baqiyatallah Hospital (Tehran, Iran), and underwent CPR from 2018 to 2020. We also evaluated the association of demographic data (gender and age) with mortality and unsuccessful CPR.
 

 

Materials and Methods

Ethical considerations

The current retrospective study was approved by the Research Ethics Committee, Hospital (Tehran, Iran) (Ethical code: IR.BMSU.REC.1399.009).

Data collection

Data of all the admitted CA patients, who underwent CPR [according to the standard method of resuscitation (11)] from 2018 to 2020 were retrospectively reviewed. We extracted the demographic data (age and gender), as well as information regarding the location of CA, causes of CPR, comorbidities, and frequency of mortality and unsuccessful CPR. Additionally, we analyzed the association of comorbidity data with mortality and unsuccessful CPR. We also investigated the relationship of the demographic data (gender and age) with mortality and unsuccessful CPR.

Statistical analysis

The present data were analyzed using SPSS software (version 16.0). Qualitative variables were evaluated using Pearson's chi-square test. Quantitative variables were examined using Pearson's regression. For the quantitative variable (age), data are presented as mean ± standard error of the mean (SEM). For qualitative variables data are presented as frequency and percentage. In the present study, a p-value of 0.05 or lower is considered statistically significant.

 
 
Results

Demographic characteristics of patients

A total of 1320 patients were included in the present study, from 2018 to 2020 (study period:  two years). The average duration of CPR in all the patients was 34.18 ± 0.38 min (the minimum duration was 30 min and the maximum duration was 210 min). CPR was performed at least once and a maximum of four times for patients. The mean age of all the patients was 65.60 ± 0.426 (mean± SEM) years (minimum=1 years and maximum=108 years). Most of the patients were in the age group of 70 to 79 years (N=330). In the present study, 794 (60.2%) patients were men, 517 (39.2%) patients were women, and 9 (0.7%) had missing data (total=1320). Most CAs occurred in hospital (1289), of these, 782 of patients were men and 507 of patients were women. Of the 1320 patients, 923 died and 396 patients survived (Figure 1, missing data=1). The case fatality rate (CFR) of CA was 69.92%.

 Figure 1. The mortality rate of all patients. (A) The frequency of patients’ mortality (missing data=1); (B) the frequency of patients based on gender× mortality following CA (cross tabulation, missing data=9). 

 Figure 1. The mortality rate of all patients. (A) The frequency of patients’ mortality (missing data=1); (B) the frequency of patients based on gender× mortality following CA (cross tabulation, missing data=9).
 

Of the 1320 patients, CPR was unsuccessful in 1271 (96.3%). Of 1271 patients with unsuccessful CPR, 502 patients were female and 760 s were male (Figure 2).

  Figure 2. The frequency of patients based on gender× successful CPR following CA (cross tabulation, missing data=9).

 Figure 2. The frequency of patients based on gender× successful CPR following CA (cross tabulation, missing data=9).
 

Association between demographic data (gender and age) and mortality/ unsuccessful CPR

Our data analysis (using the chi-square test) revealed that gender (odds ratio [OR] 0.913; 95% CI 0.717‒1.161, P-value=0.458) had no significant relationship with mortality. Similarly, gender (OR: 0.668, 95% CI 0.360‒1.239, P-value=0.198) showed no significant relationship with the unsuccessful CPR. Furthermore, our data analysis (using Pearson Regression) revealed that age (R = 0.64, R square =0.004, P-value=0.023) was significantly associated with the mortality, however, age (R=0.026, R square=0.001, P-value=0.354) had no significant association with unsuccessful CPR.

Association between causes of CPR and mortality

 According to our results, CA (903, 68.4%), respiratory arrest (506, 38.3%), impaired consciousness (283, 21.4%), respiratory distress (244, 18.5%), and arrhythmia (195, 14.8%) were the main causes of CPR in the patients (Table 1). It was found that CA (OR 4.170; 95% CI 3.24‒5.26, P-value=0.000), respiratory distress (OR 0.25; 95% CI 0.19‒0.34, P-value=0.000), and impaired consciousness (OR 0.35; 95% CI 0.27‒0.47, P-value=0.000) were significantly associated with mortality (Table 1).


Table 1. The primary causes of CPR in all patients (1320)

Cause of CA Frequency (%) Mortality (N) P-Value
Arrhythmia 195 (14.8%) 142 0.348
Cardiac Arrest 903 (68.4%) 720 0.000
Respiratory Arrest 506 (38.3%) 369 0.054
Respiratory Distress 244 (18.5%) 108 0.000
Impaired Consciousness 283 (21.4%) 146 0.000
Others 7 (0.5 %) 4 0.458

The data are presented as numbers and percentages (%). The P-values demonstrated a statistically significant association between the primary causes of CPR and mortality.
 

Association between comorbidities and mortality

In the current study, we assessed 11 common comorbidities in all the patients. Our analysis showed that the most common comorbidities were cancer (28.9%), respiratory disease (14.3%), and renal disease (10.4%) (Table 2). Cardiomyopathy (OR 0.371; 95% CI 0.133‒1.029, P-value=0.048), coronary artery bypass grafting (CABG) (OR: 0.421, 95% CI 0.193‒0.916, P-value=0.025), renal disease (OR 0.671; 95% CI 0.465‒0.969, P-value=0.032), and poisoning (OR 0.142; 95% CI 0.15‒1.370, P-value=0.049) were significantly associated with mortality (Table 2).

 
Table 2. The association of comorbidities with mortality and unsuccessful CPR.

Comorbidities-Frequency
(total patients:1320)
Frequency Mortality Successful CPR P-Value
Comorbid×mortality
P-Value
Comorbid×CPR
Heart-related disease
  • Cardiomyopathy
  • Valvular Heart Disease
  • CABG
  • CHF
  • AMI
Cerebrovascular arrest
Hypertension
Diabetes mellitus
Respiratory disease
Renal disease
Liver disease
Electrolyte disorder
Cancer
Poisoning
Sepsis
 
15 (1.1%)
7 (0.5%)
26 (2.0%)
65 (4.9%)
45 (3.4%)
67 (5.1%)
42 (3.2%)
62 (4.7%)
189 (14.3%)
137 (10.4%)
38 (2.9%)
5 (0.4%)
382 (28.9%)
4 (0.3%)
122 (9.2%)
 
7
3
13
41
27
50
24
41
121
85
26
3
277
1
89
 
1
1
5
7
2
1
2
2
4
7
1
0
10
0
1
 
0.048
0.117
0.025
0.213
0.137
0.394
0.065
0.498
0.054
0.032
0.832
0.626
0.200
0.049
0.460
 
0.543
0.138
0.000
0.002
0.791
0.324
0.715
0.836
0.210
0.361
0.721
0.660
0.180
0.694
0.076

CABG: coronary artery bypass grafting, CHF: congestive heart failure, AMI: acute myocardial infarction.
 

Association between comorbidities and unsuccessful CPR

Present data revealed that CABG (OR 6.764; 95% CI 2.438‒18.769, P-value=0.000), and CHF (OR 3.486; 95% CI 1.501‒8.093, P-value=0.002), were significantly associated with the unsuccessful CPR (Table 2).


 

Discussion

Direct laryngoscopy is usually associated with hemodynamic stress responses which in turn increases the risk of perioperative myocardial ischemia espe-cially in CABG [12-15]. According to the results of the current study, lower doses of esmolol infusion prevent the elevation of

 

Conclusion

According to the results of the current study, the applied doses of esmolol infusion significantly reduced SBP during intubation. Hemodynamic changes were significant over time; in addition, SBP, MAP, and HR changes were not significant in the infusion group, compared with the
 
 

Acknowledgements

The manuscript was part of a research project approved by Kashan University of Medical Sciences and the local ethical committee (Code No. ir.Kaums.rec.1394.19; date: 24 May, 2015).

 

Conflicts of Interest

None.

 

Type of Study: Original Research Article | Subject: Clinical Medicine
Received: 2021/09/28 | Accepted: 2022/07/26 | Published: 2022/12/12

References
1. Andrewa E, Nehmea Z, Bernard S, Smith K. The influence of comorbidity on survival and long-term outcomes after out-of-hospital cardiac arrest. Resuscitation. 2017; 110:42-7. [DOI:10.1016/j.resuscitation.2016.10.018] [PMID]
2. Reis C, Akyol O, Araujo C,et al. Pathophysiology and the monitoring methods for cardiac arrest associated brain injury. Int J Mol Sci. 2017; 18:129. [DOI:10.3390/ijms18010129] [PMID] [PMCID]
3. Koldobskiy D, Groves S, Scharf SM, Cowan MJ. Validation of factors affecting the outcome of cardiopulmonary arrest in a large, urban, academic medical center. Crit Care Med. 2014; 2014:168132. [DOI:10.1155/2014/168132]
4. Hirlekar G, Jonsson M, Karlsson T, Hollenberg J, Albertsson P, Herlitz J. Comorbidity and survival in out-of-hospital cardiac arrest. Resuscitation. 2018; 133:118-23. [DOI:10.1016/j.resuscitation.2018.10.006] [PMID]
5. Nolan JP, Laver SR, Welch CA, Harrison DA, Gupta V, Rowan K. Outcome following admission to UK intensive care units after cardiac arrest: a secondary analysis of the ICNARC Case Mix Programme Database. Anaesthesia. 2007; 62:1207-16. [DOI:10.1111/j.1365-2044.2007.05232.x] [PMID]
6. Herlitz J, Bång A, Gunnarsson J,et al. Factors associated with survival to hospital discharge among patients hospitalised alive after out of hospital cardiac arrest: change in outcome over 20 years in the community of G€oteborg, Sweden. Heart. 2003; 89:25-30. [DOI:10.1136/heart.89.1.25] [PMID] [PMCID]
7. qbal MB, Al-Hussaini A, Rosser G, et al.Predictors of survival and favorable functional outcomes after an out-of-hospital cardiac arrest in patients systematically brought to a dedicated heart attack center (from the Harefield cardiac arrest study). Am J Cardiol. 2015; 115:730-7. [DOI:10.1016/j.amjcard.2014.12.033] [PMID]
8. Winther-Jensen M, Kjaergaard J, Nielsen N, et al.Comorbidity burden is not associated with higher mortality after out-of-hospital cardiac arrest. Scand Cardiovasc J. 2016; 50:305-10. [DOI:10.1080/14017431.2016.1210212] [PMID]
9. Beesems SG, Blom MT, van der Pas MH,et al. Comorbidity and favorable neurologic outcome after out-of-hospital cardiac arrest in patients of 70 years and older. Resuscitation. 2015; 94:33-9. [DOI:10.1016/j.resuscitation.2015.06.017] [PMID]
10. Wyckoff MH, Singletary EM, Soar J,et al. 2021 international consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations: summary from the basic life support; advanced life support; neonatal life support; education, implementation, and teams; first aid task forces; and the COVID-19 Working group. Circulation. 2022; 145(9):645-721. [DOI:10.1161/CIR.0000000000001017] [PMID]
11. Nayeri A, Bhatia N, Holmes B,et al. Pre-existing medical comorbidity is not associated with neurological outcomes in patients undergoing targeted temperature management following cardiac arrest. Heart Vessels. 2017; 32(11):1358-63. [DOI:10.1007/s00380-017-1005-4] [PMID]
12. Søholm H, Hassager C, Lippert F,et al. Factors associated with successful resuscitation after out-of-hospital cardiac arrest and temporal trends in survival and comorbidity. Ann Emerg Med. 2015; 65(5):523-31. [DOI:10.1016/j.annemergmed.2014.12.009] [PMID]
13. Hirlekar G, Jonsson M, Karlsson T, Hollenberg J, Albertsson P, Herlitz J. Comorbidity and survival in out-of-hospital cardiac arrest. Resuscitation 2018; 133:118-23. [DOI:10.1016/j.resuscitation.2018.10.006] [PMID]
14. Arnett DK, Goodman RA, Halperin JL, Anderson JL, Parekh AK, Zoghbi WA. AHA/ACC/HHS strategies to enhance application of clinical practice guidelines in patients with cardiovascular disease and comorbid conditions: from the American Heart Association, American College of Cardiology, and US Department of Health and Human Services. Circulation. 2014; 130(18):1662-7. [DOI:10.1161/CIR.0000000000000128] [PMID]

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