Intra-hospital factors affecting survival to admission in out-of-hospital cardiac arrest: an exploratory cross-sectional study

Article information

J EMS Med. 2025;4(3):47-54
Publication date (electronic) : 2025 July 29
doi : https://doi.org/10.35616/jemsm.2025.00136
1Department of Emergency Medicine, Saiful Anwar General Hospital, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia
2Research Institute of Disaster Management and Emergency Medical System, Kokushikan University, Tokyo, Japan
3Department of Orthopedic and Traumatology, Saiful Anwar General Hospital, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia
4Department of Public Health, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia
5Department of Nursing, Faculty of Health Sciences, Universitas Brawijaya, Malang, Indonesia
6Graduate School of Emergency Medical System, Kokushikan University, Tokyo, Japan
Correspondence to: Budi Soenarto Department of Emergency Medicine, Saiful Anwar General Hospital, Faculty of Medicine, Universitas Brawijaya, Jl. Jaksa Agung Suprapto 2, Malang 65111, Indonesia E-mail: budisoenarto@gmail.com
Received 2025 January 12; Revised 2025 March 24; Accepted 2025 April 28.

Abstract

Objectives

Out-of-hospital cardiac arrest (OHCA) presents a major medical challenge globally, with persistently low survival rates. Developing countries generally experience even lower survival outcomes. Various intra-hospital factors may affect survival to admission, but their roles are insufficiently studied in the management of OHCA, particularly in Indonesia. This study investigated intra-hospital factors associated with survival to admission among OHCA patients treated in the emergency department of Saiful Anwar General Hospital, Malang, East Java, Indonesia.

Methods

An exploratory cross-sectional study was conducted using data from the Pan-Asian Resuscitation Outcomes Study (PAROS) OHCA registry between 2015 and 2023. The study included adult cases of OHCA, excluding traumatic arrests, pediatric patients, and coronavirus disease 2019 (COVID-19) cases. Variables assessed included patient demographics, comorbidities, cardiac arrest characteristics, and specific interventions such as defibrillation, advanced airway management, and cardiac catheterization. Statistical analyses comprised bivariate and multivariable logistic regression to identify factors significantly associated with survival to admission.

Results

A total of 428 cases were analyzed. The overall survival to admission rate was 7.24%. Advanced airway management (odds ratio [OR], 13.286; 95% confidence interval [CI], 3.928–44.937), defibrillation (OR, 8.400; 95% CI, 1.909–36.968), and cardiac catheterization (OR, 13.307; 95% CI, 1.089–162.635) were each significantly associated with higher survival to admission. Conversely, hypertension negatively affected survival (OR, 0.369; 95% CI, 0.149–0.912).

Conclusion

Intra-hospital interventions such as advanced airway management and cardiac catheterization significantly increase the likelihood of survival to admission for OHCA patients. However, comorbid hypertension reduces the chance of survival. These results underscore the importance of optimizing in-hospital care protocols among OHCA patients.

INTRODUCTION

Out-of-hospital cardiac arrest (OHCA) is among the most critical medical emergencies, with an annual global incidence estimated at 55–106 cases per 100,000 people [1-4]. Despite notable advances in emergency medical services (EMS) and resuscitation strategies, survival rates for OHCA remain extremely low—particularly in low- and middle-income countries (LMICs), where healthcare resources are often stretched and infrastructure is limited [2,5,6]. Survival after OHCA is influenced by a complex interplay of both pre-hospital and intra-hospital factors [7,8]. While pre-hospital determinants—such as bystander cardiopulmonary resuscitation (CPR), early defibrillation, and EMS response time—have received substantial attention, the influence of intra-hospital factors has been comparatively underexplored in LMIC settings [8,9].

The American Heart Association has established a “chain of survival” for OHCA, highlighting early recognition, prompt CPR, rapid defibrillation, effective advanced life support, and comprehensive post-resuscitation care as key steps [10]. While the initial three links are primarily executed in the pre-hospital phase, the latter steps critically depend on hospital-based interventions [11-14]. Advanced interventions—such as airway management, administration of resuscitation drugs, and percutaneous coronary intervention (PCI)—play essential roles in stabilizing OHCA patients who achieve return of spontaneous circulation (ROSC) prior to or upon arrival at the hospital [15-18].

In Indonesia, there is a paucity of data regarding OHCA outcomes, and available studies suggest survival rates are markedly lower than those observed in high-income countries. For example, a study from Malang covering 2015 to 2017 found that among 233 documented OHCA cases, only two patients survived to hospital discharge [19]. This stark statistic highlights the urgent need to better understand intra-hospital factors that might improve survival rates in this context.

This study, therefore, focused on the role of intra-hospital factors, aiming to clarify their impact on patient outcomes. Specifically, it sought to analyze the effects of various in-hospital interventions—particularly advanced airway management, defibrillation, and PCI—on survival to admission among OHCA patients treated at Saiful Anwar General Hospital (SAGH), a tertiary referral center in Malang, East Java, Indonesia. Gaining insight into these factors may inform targeted protocols and staff training to strengthen emergency care delivery in resource-constrained environments.

METHODS

Study design and setting

This retrospective, exploratory cross-sectional study was conducted at SAGH, which is the primary referral center for cardiac emergencies in the region. The hospital is equipped with an emergency department (ED), intensive care unit (ICU), and a cardiac catheterization laboratory. Data were drawn from the Pan-Asian Resuscitation Outcomes Study (PAROS) OHCA registry, an international research collaboration designed to improve outcomes for OHCA patients across Asia.

Study population

The study included all adult OHCA patients (aged ≥18 years) treated in the ED of SAGH from June 2015 to May 2023. Patients were included if they had a cardiac arrest outside of the hospital and were subsequently brought to SAGH for emergency management. The following exclusion criteria were applied: (1) traumatic cardiac arrest; (2) pediatric patients (<18 years); (3) confirmed coronavirus disease 2019 (COVID-19) infection; and (4) patients who were dead on arrival or experienced cardiac arrest after hospital admission.

Data collection

Data were obtained from the PAROS OHCA registry, which prospectively collects comprehensive records of OHCA cases using the internationally standardized Utstein-style template. Key variables included: (1) demographic variables—age, sex, and comorbid conditions (e.g., heart disease, diabetes, hypertension); (2) arrest characteristics—location of arrest, initial rhythm (shockable vs. non-shockable), interval from collapse to CPR, and time to hospital arrival; (3) in-hospital interventions—use of advanced airway management (either endotracheal intubation or supraglottic airway devices), defibrillation, administration of resuscitation medications (e.g., epinephrine), targeted temperature management (TTM), and PCI; (4) outcome variable—survival to admission, defined as survival to transfer to intensive care or survival for at least 8 hours in the ED.

Statistical analysis

All analyses were performed using IBM SPSS Statistics version 25.0. Continuous variables were expressed as medians with interquartile ranges (IQR) due to non-normal distribution, while categorical variables were reported as frequencies and percentages. The Mann–Whitney U test was used for comparisons of continuous variables, and the chi-square test for categorical variables. Variables with a P-value <0.25 in bivariate analyses were entered into a multivariable logistic regression model to identify independent predictors of survival to admission. Results were expressed as adjusted odds ratios (OR) with 95% confidence intervals (CIs). A P-value <0.05 was considered statistically significant.

Ethics approval

This study was approved by the Institutional Review Board of Saiful Anwar General Hospital, Malang (No. 400/140/K.3/102.7/2023). The need for informed consent was waived due to the retrospective study design and the use of anonymized patient data.

RESULTS

Study population

During the study period from June 2015 to May 2023, a total of 511 OHCA cases were documented in the PAROS registry at SAGH, Malang, Indonesia. After applying the exclusion criteria—which included patients younger than 18 years, trauma-related cardiac arrests, and those declared dead on arrival—83 cases were excluded from the analysis. This left 428 eligible cases for final cross-sectional evaluation. Among these, 121 patients (28.27%) achieved ROSC, 31 patients (7.24%) survived to admission, and 10 patients (2.33%) were eventually discharged. Survival to admission was defined as either transfer to the ICU or survival for at least 8 hours in the ED following resuscitation (Fig. 1).

Fig. 1.

Flow diagram of OHCA patient selection.

Flowchart of OHCA cases recorded in the PAROS registry at Saiful Anwar General Hospital from June 2015 to May 2023. A total of 511 OHCA cases were identified. After excluding traumatic cases, pediatric patients, COVID-19 patients, and those declared dead on arrival or who arrested after hospital admission, 428 eligible adult cases were analyzed for survival to admission outcomes. OHCA, out-of-hospital cardiac arrest; PAROS, Pan-Asian Resuscitation Outcomes Study; COVID-19, coronavirus disease 2019.

Baseline characteristics

The baseline characteristics for the 428 eligible OHCA cases are summarized in Table 1. The mean age of the study population was 55.7 years, with a median age of 57 years (IQR, 48–66 years), reflecting a wide age distribution among patients. Most patients were male, accounting for 67.8% (n=290) of the cohort. The three most common comorbidities were hypertension (35.7%, n=153), heart disease (28.3%, n=121), and diabetes mellitus (23.4%, n=100). These conditions are known to negatively affect cardiovascular health and may increase susceptibility to cardiac arrest, as well as contribute to poorer outcomes following resuscitation.

Baseline characteristics of out-of-hospital cardiac arrest patients

The initial cardiac rhythm was predominantly non-shockable, identified in 423 patients (98.8%), typically manifesting as asystole or pulseless electrical activity. Shockable rhythms, such as ventricular fibrillation or pulseless ventricular tachycardia, were rare and observed in only five patients (1.2%). The median time from cardiac arrest to initiation of CPR was 15 minutes (IQR, 10–20 minutes), and the median time to hospital arrival was 30 minutes (IQR, 22–37 minutes). This considerable delay in-hospital arrival likely influenced the initial success of resuscitation and overall outcomes.

Survival to admission

Among the 31 patients who survived to admission, 23 (5.4%) were male, suggesting a potential gender disparity in survival. The median age of survivors was 54 years (IQR, 45–64 years), slightly lower than the overall cohort, which may indicate better outcomes among younger patients with OHCA. Notably, all 31 survivors received advanced airway management, emphasizing the vital role of securing the airway and ensuring effective ventilation in the stabilization of OHCA patients. Defibrillation was performed in eight patients, with three survivors (0.7%), underscoring the critical importance of prompt defibrillation for those with shockable rhythms (Table 1).

Three patients (0.7%) underwent PCI, suggesting that revascularization can improve survival to admission, even in a resource-limited setting. However, the overall low rates of PCI and defibrillation reflect limitations in the availability and application of advanced cardiac interventions, which could be targeted for future quality improvement initiatives.

Bivariate analysis (Table 2) identified several significant individual predictors of survival. These included the time of arrest (P=0.014), defibrillation (OR, 8.400; 95% CI, 1.909–36.968; P=0.015), advanced airway management (OR, 12.592; 95% CI, 3.765–42.107; P=0.000), and PCI (OR, 27.310; 95% CI, 2.405–310.180; P=0.015), all of which were significantly associated with survival to admission.

Bivariate analysis of factors associated with survival to admission

Significant predictors

Multivariable logistic regression analysis (Table 3) revealed several independent predictors of survival to admission among the study population. Advanced airway management emerged as a crucial factor, with patients who received this intervention being significantly more likely to survive to admission (OR, 13.286; 95% CI, 3.928–44.937; P<0.001). This highlights the essential role of early airway management and adequate ventilation during the initial hours post-resuscitation—core components of advanced life support that are linked to improved outcomes in OHCA.

Multivariate logistic regression analysis of factors associated with survival to admission

Furthermore, PCI was found to be a significant independent predictor, with survival odds to admission being 13 times higher for patients who underwent PCI than those who did not (OR, 13.307; 95% CI, 1.089–162.635; P=0.043). This result underscores the importance of rapid revascularization in selected OHCA patients and supports integrating PCI-capable hospitals into regional cardiac arrest care systems, even in resource-constrained environments.

Conversely, hypertension was negatively associated with survival to admission (OR, 0.369; 95% CI, 0.149–0.912; P=0.031), indicating that patients with hypertension may have an elevated risk of poor outcomes post-cardiac arrest, likely due to preexisting cardiovascular and end-organ damage that can reduce the effectiveness of resuscitation.

DISCUSSION

In this study, advanced airway management was identified as a critical intra-hospital factor significantly associated with survival to admission in OHCA patients, as all survivors received this intervention. This finding highlights the importance of promptly securing the airway and providing effective ventilation during resuscitation. In our EMS system, most ambulances operate at the Basic Life Support level, offering only basic airway interventions, such as oropharyngeal airways and bag-mask ventilation. Upon arrival at the hospital, the decision to proceed with advanced airway management depends on the clinical assessment made by the ED team and the patient's overall condition [18,20]. This observation is consistent with our multivariable analysis, which demonstrated a robust association between advanced airway management and improved survival outcomes [20,21].

Although only a limited number of patients underwent cardiac catheterization, this intervention emerged as a significant predictor of survival to admission among OHCA patients [22-25]. Rapid revascularization through PCI is essential for those with suspected coronary artery disease, and our findings support the integration of PCI-capable hospitals into cardiac arrest care systems, even in resource-limited settings [26]. Notably, TTM was not performed in any of the cases in our study population, as this intervention has not yet become a standard protocol for cardiac arrest management at our institution. The absence of TTM reflects broader challenges faced by healthcare systems in LMICs, where access to advanced life support measures is often limited. Recognizing and addressing this issue is crucial for developing targeted in-hospital protocols and training programs to improve the effectiveness of emergency care in resource-constrained settings [5,9].

While defibrillation was associated with improved survival in the bivariate analysis, it did not remain an independent predictor in the multivariable model. This suggests that other factors, such as delayed recognition of cardiac arrest and the predominance of non-shockable initial rhythms, may have influenced patient outcomes in this study. Nevertheless, early defibrillation remains a key component of care for patients presenting with shockable rhythms [22,27,28].

Hypertension was negatively associated with survival to admission, indicating that patients with this comorbidity may have a reduced likelihood of survival due to preexisting cardiovascular damage [29,30]. These findings underscore the importance of targeted management strategies for hypertensive patients in the context of OHCA.

Study limitations

This study has several limitations that should be considered when interpreting the results. A major limitation is the exclusion of pre-hospital data, such as time to first CPR, EMS response times, and pre-hospital interventions like defibrillation and airway management. These variables are crucial for understanding survival determinants in OHCA, as timely interventions greatly affect outcomes. Without this information, our analysis may not fully capture the complexity of patient care. Additionally, the relatively small sample size limits the generalizability of our findings and may weaken statistical power. Larger studies would provide more robust insights into the influence of in-hospital factors on survival. Future research should include both pre-hospital and in-hospital data to offer a more comprehensive evaluation.

Our database also lacked detailed in-hospital medication records, including the use of advanced life support drugs, which are important for accurate risk adjustment in multivariable analysis. It is important to note that patients who undergo advanced airway management are typically those who survive to hospital arrival and are considered candidates for continued resuscitation, whereas those who are already deceased or for whom airway management is not feasible are excluded. This may introduce bias, as advanced airway management is not performed in all cases. Furthermore, the timing of both advanced airway management and PCI was not recorded, limiting our ability to assess the optimal timing for these interventions. The absence of TTM and the small number of patients undergoing PCI further restrict the generalizability of our findings regarding these interventions. Future studies should address these gaps to provide a more nuanced understanding of the factors influencing OHCA outcomes.

Conclusion

This study identified advanced airway management and cardiac catheterization as significant independent predictors of survival to admission among OHCA patients treated in a resource-limited setting. Although defibrillation was associated with improved survival in bivariate analysis, it did not emerge as an independent predictor in multivariable analysis. These findings highlight the importance of timely and effective in-hospital interventions—particularly advanced airway management and PCI—in improving patient outcomes. The negative association of hypertension with survival further emphasizes the need for comprehensive strategies targeting comorbid conditions. Optimizing emergency care protocols and addressing these key factors have the potential to enhance survival outcomes for OHCA patients in similar healthcare settings.

Notes

FUNDING

None.

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

AUTHORS’ CONTRIBUTIONS

Conceptualization: AH, BS, RSD, NS; Data curation: AH, BS, NS, S; Formal analysis: AH, BS, S; Investigation:AH, BS, RSD, NS; Methodology: AH, BS, NS, S; Project administration: III; Resources: AH, BS; Software: BS, NS; Supervision: S, III, HT; Validation: AH, RSD, NS, S; Visualization: AH, BS; Writing–original draft: AH, BS; Writing–review & editing: AH, BS, S, HT.

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Article information Continued

Fig. 1.

Flow diagram of OHCA patient selection.

Flowchart of OHCA cases recorded in the PAROS registry at Saiful Anwar General Hospital from June 2015 to May 2023. A total of 511 OHCA cases were identified. After excluding traumatic cases, pediatric patients, COVID-19 patients, and those declared dead on arrival or who arrested after hospital admission, 428 eligible adult cases were analyzed for survival to admission outcomes. OHCA, out-of-hospital cardiac arrest; PAROS, Pan-Asian Resuscitation Outcomes Study; COVID-19, coronavirus disease 2019.

Table 1.

Baseline characteristics of out-of-hospital cardiac arrest patients

Demographic Survival to admission (n=31) Death (n=397) Total (n=428) P-value
Age (yr), median (IQR) 54 (45–64) 58 (50–66) 57 (48–66) 0.183
Sex, No. (%) 0.550
 Male 23 (74.2) 267 (67.3) 290 (67.8)
 Female 8 (25.8) 130 (32.7) 138 (32.2)
Comorbidities, No. (%)
 Heart disease 7 (1.6) 114 (26.6) 121 (28.3) 0.465
 Diabetes mellitus 4 (0.9) 96 (22.4) 100 (23.4) 0.153
 Hypertension 7 (1.6) 146 (34.1) 153 (35.7) 0.112
 Stroke 2 (0.5) 39 (9.1) 41 (9.6) 0.755
 Hyperlipidemia 1 (0.2) 21 (4.9) 22 (5.1) 1.000
 Lung disease 6 (1.4) 34 (7.9) 40 (9.3) 0.057
 Renal disease 6 (1.4) 46 (10.7) 52 (12.1) 0.247
 Cancer 3 (0.7) 29 (6.8) 32 (7.5) 0.496
 HIV 0 6 (1.4) 6 (1.4) 1.000
Collapse to CPR time
 Collapse to CPR (min), median (IQR) 10 (8–13) 15 (10–20) 15 (10–20) 0.014
Resuscitation phase, No. (%)
 Rhythm 0.315
  Shockable (VT, VF) 1 (3.2) 4 (1.0) 5 (1.2)
  Non-shockable (asystole, PEA) 30 (96.8) 393 (99.0) 423 (98.8)
 Defibrillation 0.015
  Yes 3 (9.7) 5 (1.3) 8 (1.9)
  No 28 (90.3) 392 (98.7) 420 (98.1)
 Advanced airway 0.000
  Yes 28 (90.3) 169 (42.6) 197 (46.0)
  No 3 (9.7) 228 (57.4) 231 (54.0)
 Emergency drugs 0.242
  Yes 31 (100.0) 371 (93.5) 402 (93.9)
  No 0 26 (6.5) 26 (6.1)
Post-cardiac arrest care, No. (%)
 Targeted temperature management -
  Yes 0 0 0
  No 31 (100.0) 397 (100.0) 428 (100.0)
 Percutaneous coronary intervention 0.015
  Yes 2 (6.5) 1 (0.3) 3 (0.7)
  No 29 (93.5) 396 (99.7) 425 (99.3)

IQR, interquartile range; HIV, human immunodeficiency virus; CPR, cardiopulmonary resuscitation; VT, ventricular tachycardia; VF, ventricular fibrillation; PEA, pulseless electric activity.

Table 2.

Bivariate analysis of factors associated with survival to admission

OR 95% CI P-value
Demographic
 Age 0.183
 Sex 1.400 0.610–3.215 0.550
Comorbidities
 Heart disease 0.724 0.303–1.727 0.465
 Diabetes mellitus 0.465 0.465–1.361 0.153
 Hypertension 0.501 0.211–1.192 0.112
 Stroke 0.633 0.145–2.755 0.755
 Hyperlipidemia 0.597 0.078–4.591 1.000
 Lung disease 2.562 0.983–6.678 0.057
 Renal disease 1.831 0.714–4.700 0.247
 Cancer 1.360 0.390–4.742 0.496
 HIV 0.956 0.052–17.363 1.000
Time arrest 0.014
Resuscitation phase
 Initial rhythm 3.275 0.355–30.230 0.315
 Defibrillation 8.400 1.909–36.968 0.015
 Advanced airway 12.592 3.765–42.107 0.000
 Emergency drugs 0.222 0.013–3.738 0.242
Post-cardiac arrest care
 PCI 27.310 2.405–310.180 0.015

HIV, human immunodeficiency virus; PCI, percutaneous coronary intervention; OR, odds ratio; CI, confidence interval.

Table 3.

Multivariate logistic regression analysis of factors associated with survival to admission

Adjusted OR 95% CI P-value
Hypertension 0.369 0.149–0.912 0.031
Advanced airway 13.286 3.928–44.937 <0.001
PCI 13.307 1.089–162.635 0.043

PCI, percutaneous coronary intervention; OR, odds ratio; CI, confidence interval.