Submitted:
13 March 2026
Posted:
17 March 2026
You are already at the latest version
Abstract
Background: Cardiac arrest is the third leading cause of natural death in Europe and thus presents a growing burden on both our society and healthcare system. There has been very little research done on cardiac arrests of non-cardiac origin despite their increasing incidence, as they represent a heterogenous group of patients in which the type and outcome of treatment vary depending on the underlying cause of the cardiac arrest. Aim: The aim of our study is to research how the Slovenian healthcare system has worked and currently works in the field of cardiac arrests of non-cardiac origin. Methods: Our study was descriptive and retrospective. We compared 2 time periods, 2010/2011 and 2022/2023. Our sample included all patients admitted to Centre for Intensive Internal Medicine (CIIM) during these periods after either out-of-hospital or in-hospital cardiac arrest of non-cardiac origin. Results: The incidence of all cardiac arrests of non-cardiac origin was higher in 2022/2023 (Hi-squared test, p=0.021), while the incidence of those that occured in-hospital was lower in 2022/2023 (Hi-squared test, p=0.007). The number of male patients was higher in the second period (Hi-squared test, p=0.013). The age of the patients did not differ significantly between the two periods (Student's t-test, p>0.05). ICU stay was longer in the second period (Mann Whitney U test, p=0.027). The number of tests performed was higher and treatment was more aggressive in the second period than in the first period. Patient survival was higher in the second period in the in-hospital cardiac arrest of non-cardiac origin group (Student's t-test, p=0.048). Conclusion: The incidence of cardiac arrest of non-cardiac origin in Slovenia has been increasing through the years. Better hospital treatment results in better overall survival and a lower incidence of in-hospital cardiac arrests. More patients with out-of-hospital cardiac arrests are nowadays being resuscitated by lay bystanders in the field, so patients' survival to hospital admission is higher. The proportion of male patients is increasing, age is not changing significantly. Despite better diagnosis processes, new treatments and improved knowledge, the survival and neurological outcome of patients have not improved significantly.
Keywords:
1. Introduction
2. Aim of the study
3. Materials and Methods
4. Results
5. Discussion
6. Conclusions
References
- Kitamura T, Kiyohara K, Sakai T, Iwami T, Nishiyama C, Kajino K, et al. Epidemiology and outcome of adult out-of-hospital cardiac arrest of non-cardiac origin in Osaka: a population-based study. BMJ Open. 2014 Dec 22;4(12):e006462. [CrossRef]
- Kuisma M, Alaspää A. Out-of-hospital cardiac arrests of non-cardiac origin. Epidemiology and outcome. Eur Heart J. 1997 Jul;18(7):1122–8. [CrossRef]
- Elmer J, Torres C, Aufderheide TP, Austin MA, Callaway CW, Golan E, et al. Association of early withdrawal of life-sustaining therapy for perceived neurological prognosis with mortality after cardiac arrest. Resuscitation. 2016 May;102:127–35. [CrossRef]
- Laver S, Farrow C, Turner D, Nolan J. Mode of death after admission to an intensive care unit following cardiac arrest. Intensive Care Med. 2004 Nov;30(11):2126–8. [CrossRef]
- Lin CY, Tseng CN, Lu CH, Tung TH, Tsai FC, Wu MY. Surgical results in acute type A aortic dissection with preoperative cardiopulmonary resuscitation: Survival and neurological outcome. PloS One. 2020;15(8):e0237989. [CrossRef]
- McHugh ML. The chi-square test of independence. Biochem Medica. 2013;23(2):143–9.
- Hess EP, Campbell RL, White RD. Epidemiology, trends, and outcome of out-of-hospital cardiac arrest of non-cardiac origin. Resuscitation. 2007 Feb;72(2):200–6. [CrossRef]
- Moriwaki Y, Tahara Y, Arata S, Toyoda H, Kosuge T, Iwashita M, et al. Out-of-hospital cardiac arrest due to non-cardiac causes. Resuscitation. 2008 May;77:S52. [CrossRef]
- Gräsner JT, Wnent J, Herlitz J, Perkins GD, Lefering R, Tjelmeland I, et al. Survival after out-of-hospital cardiac arrest in Europe - Results of the EuReCa TWO study. Resuscitation. 2020 Mar 1;148:218–26. [CrossRef]
- Stankovic N, Holmberg MJ, Høybye M, Granfeldt A, Andersen LW. Age and sex differences in outcomes after in-hospital cardiac arrest. Resuscitation. 2021 Aug;165:58–65. [CrossRef]
- Andersen LW, Holmberg MJ, Berg KM, Donnino MW, Granfeldt A. In-Hospital Cardiac Arrest: A Review. JAMA. 2019 Mar 26;321(12):1200–10.
- Tadel S, Horvat M, Noc M. Treatment of out-of-hospital cardiac arrest in Ljubljana: outcome report according to the “Utstein” style. Resuscitation. 1998 Sep;38(3):169–76. [CrossRef]
- How Long Should CPR Last? Evaluating Its Efficacy [Internet]. [cited 2026 Feb 1]. Available from: https://www.uscpronline.com/.
- Safranek DJ, Eisenberg MS, Larsen MP. The epidemiology of cardiac arrest in young adults. Ann Emerg Med. 1992 Sep;21(9):1102–6. [CrossRef]
- Hypothermia after Cardiac Arrest Study Group. Mild therapeutic hypothermia to improve the neurologic outcome after cardiac arrest. N Engl J Med. 2002 Feb 21;346(8):549–56.
- Nolan JP, Soar J, Zideman DA, Biarent D, Bossaert LL, Deakin C, et al. European Resuscitation Council Guidelines for Resuscitation 2010 Section 1. Executive summary. Resuscitation. 2010 Oct;81(10):1219–76. [CrossRef]
- Nielsen N, Wetterslev J, Cronberg T, Erlinge D, Gasche Y, Hassager C, et al. Targeted temperature management at 33°C versus 36°C after cardiac arrest. N Engl J Med. 2013 Dec 5;369(23):2197–206. [CrossRef]
- Le May M, Osborne C, Russo J, So D, Chong AY, Dick A, et al. Effect of Moderate vs Mild Therapeutic Hypothermia on Mortality and Neurologic Outcomes in Comatose Survivors of Out-of-Hospital Cardiac Arrest: The CAPITAL CHILL Randomized Clinical Trial. JAMA. 2021 Oct 19;326(15):1494.
- Kirkegaard H, Søreide E, de Haas I, Pettilä V, Taccone FS, Arus U, et al. Targeted Temperature Management for 48 vs 24 Hours and Neurologic Outcome After Out-of-Hospital Cardiac Arrest: A Randomized Clinical Trial. JAMA. 2017 Jul 25;318(4):341–50.
- Lascarrou JB, Merdji H, Le Gouge A, Colin G, Grillet G, Girardie P, et al. Targeted Temperature Management for Cardiac Arrest with Nonshockable Rhythm. N Engl J Med. 2019 Dec 12;381(24):2327–37. [CrossRef]
- Dankiewicz J, Cronberg T, Lilja G, Jakobsen JC, Levin H, Ullén S, et al. Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest. N Engl J Med. 2021 Jun 17;384(24):2283–94. [CrossRef]
- Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, et al. European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care. Intensive Care Med. 2021 Apr;47(4):369–421.
- Sandroni C, Nolan J, Cavallaro F, Antonelli M. In-hospital cardiac arrest: incidence, prognosis and possible measures to improve survival. Intensive Care Med. 2007 Feb;33(2):237–45. [CrossRef]
- Feingold P, Mina MJ, Burke RM, Hashimoto B, Gregg S, Martin GS, et al. Long-term survival following in-hospital cardiac arrest: A matched cohort study. Resuscitation. 2016 Feb;99:72–8. [CrossRef]
- Hosomi S, Zha L, Kiyohara K, Kitamura T, Irisawa T, Ogura H, et al. Survival following an out-of-hospital cardiac arrest in Japan in 2020 versus 2019 according to the cause. Acute Med Surg. 2022;9(1):e777. [CrossRef]
- Fukuda T, Matsubara T, Doi K, Fukuda-Ohashi N, Yahagi N. Predictors of favorable and poor prognosis in unwitnessed out-of-hospital cardiac arrest with a non-shockable initial rhythm. Int J Cardiol. 2014 Oct 20;176(3):910–5. [CrossRef]
| 2010/2011 | 2022/2023 | All male / all female | |||
| OHCA | IHCA | OHCA | IHCA | ||
| Male | 23 (41,8%) | 42 (50,6%) | 54 (58,1%) | 49 (65,3%) | 168 (54,9%) |
| Female | 32 (58,1%) | 41 (49,4%) | 39 (41,9%) | 26 (34,7%) | 138 (45,1%) |
| All | 55 | 83 | 93 | 75 | 306 |
| S-OHCA 2010/2011 | S-OHCA 2022/2023 | p value (significant: p<0,05) |
|
| No. Of pts (% all S-OHCA) | 55 (39,9) | 93 (55,4) | 0,007 |
| age (years) ± SD | 68,8 ± 14,5 | 67,6 ± 16,2 | 0,707 |
| Sex (%) male female |
23 (41,8) 32 (58,2) |
54 (58,1) 39 (41,9) |
0,056 |
| Data about S-OHCA | |||
| witness (%); lay/none EMS |
46 (83,6) 39 (84,7) 7 (15,2) |
75 (80,6) 65 (86,7) 10 (13,3) |
0,649 |
| BLS (%)* | 9 (23,1) | 41 (63,1) | <0,001 |
| Time to EMS arrival (mins)± SD | 9,6 ± 5,5 | 9,7 ± 5,25 | 0,910 |
| Initial rhythm (%) PEA Asystole VF |
28 (50,9) 23 (41,8) 4 (7,3) |
53 (57,0) 39 (41,9) 1 (1,8) |
0,125 |
| ACLS duration (mins) ± SD |
15,7 ± 10,6 | 16,1 ± 12,4 | 0,878 |
| Treatment | |||
| TTM (%) normothermia hypothermia no TTM |
0 39 (70,9) 16 (29,1) |
52 (55,9) 5 (5,4) 36 (38,7) |
/ |
| Head CT (%) | 26 (47,3) | 74 (79,6) | <0,001 |
| Chest and abdominal CT/CTA (%) | 16 (29,1) | 47 (50,5) | 0,011 |
| Coronary angiography (%) | 4 (7,3) | 6 (6,5) | 0,548 |
| Mechanical ventilation (%) | 53 (96,4) | 93 (100) | 0,137 |
| Inotropes/vasopressors (%) | 49 (89,1) | 83 (89,2) | 0,976 |
| Antibiotics (%) | 34 (61,8) | 62 (66,7) | 0,550 |
| Hemodyalisis (%) | 2 (3,6) | 6 (6,5) | 0,710 |
| ICU stay (days) ± SD | 4,4 ± 3,7 | 4,9 ± 4,4 | 0,513 |
| Outcome | |||
| Survival (%) | 22 (40,0) | 24 (25,8) | 0,071 |
| CPC (%) CPC 1/2 CPC 3 CPC 4 CPC 5 missing data |
9 (16,4) 3 (5,5) 14 (27,3) 3 (5,5) 26 (45,5) |
11 (11,8) 3 (3,2) 53 (57,0) 9 (9,7) 17 (18,3) |
/ |
| Survival CPC 1/2 (%) | 9 (16,4) | 11 (11,8) | 0,435 |
| S-IHCA 2010/2011 | Se-IHCA 2022/2023 | p value (significant p<0,05) |
|
| No. of pts (% all S-CA) | 83 (60,1) | 75 (44,6) | 0,007 |
| Age (years) ± SD | 70,7 ± 13,0 | 67,8 ± 13,3 | 0,177 |
| Sex (%) male female |
42 (50,6) 41 (49,4) |
49 (65,3) 26 (34,7) |
0,061 |
| Data about S-IHCA | |||
| witness (%) | 76 (91,6) | 71 (94,7) | 0,444 |
| Initial rhythm (%) PEA Asystole VF |
52 (62,7) 26 (31,3) 5 (6,0) |
51 (68,0) 18 (24,0) 6 (8,0) |
0,562 |
| ACLS duration (mins) ± SD | 10,4 ± 8,3 | 13,9 ± 13,1 | 0,228 |
| Treatment | |||
| TTM (%) normothermia hipothermia no TTM |
0 (0,0) 44 (53,0) 39 (47,0) |
46 (61,3) 0 (0,00) 29 (38,7) |
/ |
| Head CT (%) | 13 (15,7) | 41 (54,7) | <0,001 |
| Chest and abdominal CT/CTA (%) | 8 (9,6) | 40 (53,3) | <0,001 |
| Coronary angiography (%) | 4 (4,8) | 7 (9,3) | 0,266 |
| Mechanical ventilation (%) | 83 (100,0) | 75 (100,0) | / |
| Inotropes/vasopressors (%) | 75 (90,4) | 69 (92,0) | 0,927 |
| Antibiotics (%) | 61 (73,5) | 65 (86,7) | 0,040 |
| Hemodyalisis (%) | 6 (7,2) | 13 (17,3) | 0,051 |
| ICU stay (days) ± SD | 3,9 ± 3,8 | 5,6 ± 5,5 | 0,022 |
| Outcome | |||
| Survival (%) | 25 (30,1) | 34 (45,3) | 0,048 |
| CPC (%) CPC 1/2 CPC 3 CPC 4 CPC 5 Missing data |
21 (25,3) 0 (0,00) 22 (25,3) 0 (0,00) 40 (49,4) |
25 (33,3) 6 (8,0) 29 (38,7) 0 (0,00) 15 (20,0) |
/ |
| Survival CPC 1/2 (%) | 18 (21,7) | 25 (33,3) | 0,100 |
| S-CA 2010/2011 | S-CA 2022/2023 | p value (significant:p<0,05) |
|
| No. Of pts (% all CA) | 138 (35,0) |
168 (43,1) | 0,021 |
| Location (%) IHCA OHCA |
83 (60,1) 55 (39,9) |
75 (44,6) 93 (55,4) |
0,007 |
| Age (years)± SD | 69,8 ± 13,6 | 67,7 ± 14,9 | 0,271 |
| Sex (%) male female |
65 (47,1) 73 (52,9) |
103 (61,3) 65 (38,7) |
0,013 |
| Data about CA | |||
| Witness (%) | 122 (88,4) | 146 (86,9) | 0,692 |
| Initial rhythm (%) PEA Asystole VF |
80 (58,0) 49 (35,5) 9 (6,5) |
104 (61,9) 57 (33,9) 7 (4,2) |
0,591 |
| ACLS duration (mins) ± SD |
16,5 ± 21,8 | 12,5 ± 6,5 | 0,102 |
| Treatment | |||
| TTM (%) normothermia hypothermia no TTM |
0 (0,00) 83 (60,1) 55 (39,9) |
98 (58,3) 5 (3,0) 65 (38,7) |
/ |
| Head CT (%) | 39 (28,3) | 115 (68,5) | <0,001 |
| Chest and abdominal CT/CTA (%) | 24 (17,4) | 87 (51,8) | <0,001 |
| Coronary angiography (%) | 8 (5,8) | 13 (7,7) | 0,504 |
| Mechanical ventilation (%) | 136 (98,6) | 168 (100,0) | 0,203 |
| Inotropes/vasopressors (%) | 124 (89,9) | 152 (90,5) | 0,856 |
| Antibiotics (%) | 95 (68,8) | 127 (75,6) | 0,188 |
| Hemodyalisis (%) | 8 (5,8) | 21 (12,5) | 0,046 |
| ICU stay (days) ± SD | 4,1 ± 3,8 | 5,2 ± 4,9 | 0,027 |
| Outcome | |||
| Survival (%) | 47 (34,1) | 58 (34,5) | 0,932 |
| CPC (%) CPC 1/2 CPC 3 CPC 4 CPC 5 Missing data |
30 (21,7) 3 (2,2) 36 (26,1) 3 (2,2) 66 (47,8) |
36 (21,4) 9 (5,4) 82 (48,8) 9 (5,4) 32 (19,0) |
/ |
| Survival CPC 1/2 (%) | 27 (19,6) | 36 (21,4) | 0,688 |
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