Association of Clinical Scores and Cardiac Troponin I with 30-Day Mortality in Patients with Spontaneous Intracerebral Hemorrhage
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Participants
2.2. Data Acquisition
2.3. Statistical Methods
3. Results
3.1. Outcome-Based Comparison of Clinical and Radiological Parameters
3.2. Serum Concentrations of High-Sensitivity Cardiac Troponin I
3.3. Correlation Values
3.4. Association of Clinical Scores and hs-cTnI with Mortality
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| CI | Confidence interval |
| cTn | Cardiac troponin |
| GCS | Glasgow Coma Scale |
| hs-cTnI | High-sensitivity cardiac troponin I |
| ICH | Intracerebral hemorrhage |
| IVH | Intraventricular hemorrhage |
| NIHSS | National Institutes of Health Stroke Scale |
| sICH | Spontaneous intracerebral hemorrhage |
| UHC | University Hospital Center |
References
- Al-Shahi Salman, R.; Frantzias, J.; Lee, R.J.; Lyden, P.D.; Battey, T.W.K.; Ayres, A.M.; Goldstein, J.N.; Mayer, S.A.; Steiner, T.; Wang, X.; et al. Absolute risk and predictors of the growth of acute spontaneous intracerebral haemorrhage: A systematic review and meta-analysis of individual patient dana. Lancet Neurol. 2018, 17, 885–894. [Google Scholar] [CrossRef]
- Feigin, V.L.; Lawes, C.M.M.; Bennett, D.A.; Barker-Collo, S.L.; Parag, V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: A systematic review. Lancet Neurol. 2009, 8, 355–369. [Google Scholar] [CrossRef]
- van Asch, C.J.; Luitse, M.J.; Rinkel, G.J.; van der Tweel, I.; Algra, A.; Klijn, C.J. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: A systematic review and meta-analysis. Lancet Neurol. 2010, 9, 167–176. [Google Scholar] [CrossRef] [PubMed]
- An, S.J.; Kim, T.J.; Yoon, B.W. Epidemiology, Risk Factors, and Clinical Features of Intracerebral Hemorrhage: An Update. J. Stroke 2017, 19, 3–10. [Google Scholar] [CrossRef] [PubMed]
- Ariesen, M.J.; Claus, S.P.; Rinkel, G.J.; Algra, A. Risk factors for intracerebral hemorrhage in the general population: A systematic review. Stroke 2003, 34, 2060–2065. [Google Scholar] [CrossRef] [PubMed]
- Yamada, M. Cerebral amyloid angiopathy: Emerging concepts. J. Stroke 2015, 17, 17–30. [Google Scholar] [CrossRef]
- Hostettler, I.C.; Seiffge, D.J.; Werring, D.J. Intracerebral hemorrhage: An update on diagnosis and treatment. Expert Rev. Neurother. 2019, 19, 679–694. [Google Scholar] [CrossRef]
- Garg, R.; Biller, J. Recent advances in spontaneous intracerebral hemorrhage. F1000Research 2019, 8, F1000 Faculty Rev-302. [Google Scholar] [CrossRef]
- Chen, H.S.; Hsieh, C.F.; Chau, T.T.; Yang, C.D.; Chen, Y.W. Risk factors of in-hospital mortality of intracerebral hemorrhage and comparison of ICH scores in a Taiwanese population. Eur. Neurol. 2011, 66, 59–63. [Google Scholar] [CrossRef]
- Huang, Q.; Wu, L.; Song, Z.; Zhang, Z.; Kuang, H.; Zhu, Y.; Zeng, C.; Zhang, L.; Zhang, H.; Xu, Z.; et al. Hematoma, Perihematomal Edema, and Total Lesion Predict Outcome in Patients With Intracerebral Hemorrhage. Brain Behav. 2025, 15, e70340. [Google Scholar] [CrossRef]
- Miyagi, T.; Koga, M.; Yamagami, H.; Okuda, S.; Okada, Y.; Kimura, K.; Shiokawa, Y.; Nakagawara, J.; Furui, E.; Hasegawa, Y.; et al. Reduced estimated glomerular filtration rate affects outcomes 3 months after intracerebral hemorrhage: The stroke acute management with urgent risk-factor assessment and improvement-intracerebral hemorrhage study. J. Stroke Cerebrovasc. Dis. 2015, 24, 176–182. [Google Scholar] [CrossRef] [PubMed]
- Zeng, L.; Zhang, Q.; Xia, Z.; Cui, W.; Guo, J. Predictors of poor outcomes in patients with intracerebral hemorrhage. Front. Neurol. 2025, 16, 1517760. [Google Scholar] [CrossRef] [PubMed]
- Diringer, M.N.; Skolnick, B.E.; Mayer, S.A.; Steiner, T.; Davis, S.M.; Brun, N.C.; Broderick, J.P. Thromboembolic events with recombinant activated factor VII in spontaneous intracerebral hemorrhage: Results from the Factor Seven for Acute Hemorrhagic Stroke (FAST) trial. Stroke 2010, 41, 48–53. [Google Scholar] [CrossRef] [PubMed]
- Zhang, K.; Wei, L.; Zhou, X.; Yang, B.; Meng, J.; Wang, P. Risk factors for poor outcomes of spontaneous supratentorial cerebral hemorrhage after surgery. J. Neurol. 2022, 269, 3015–3025. [Google Scholar] [CrossRef]
- Hemphill, J.C.; Bonovich, D.C.; Besmertis, L.; Manley, G.T.; Johnston, S.C. The ICH score: A simple, reliable grading scale for intracerebral hemorrhage. Stroke 2001, 32, 891–897. [Google Scholar] [CrossRef]
- Lyden, P.; Brott, T.; Tilley, B.; Welch, K.M.; Mascha, E.J.; Levine, S.; Haley, E.C.; Grotta, J.; Marler, J. Improved reliability of the NIH Stroke Scale using video training. NINDS TPA Stroke Study Group. Stroke 1994, 25, 2220–2226. [Google Scholar] [CrossRef]
- Tiambeng, T.N.; Tucholski, T.; Wu, Z.; Zhu, Y.; Mitchell, S.D.; Roberts, D.S.; Jin, Y.; Ge, Y. Analysis of cardiac troponin proteoforms by top-down mass spectrometry. Methods Enzymol. 2019, 626, 347–374. [Google Scholar] [CrossRef]
- Apple, F.S.; Sandoval, Y.; Jaffe, A.S.; Ordonez-Llanos, J.; IFCC Task Force on Clinical Applications of Cardiac Bio-Markers. Cardiac Troponin Assays: Guide to Understanding Analytical Characteristics and Their Impact on Clinical Care. Clin. Chem. 2017, 63, 73–81. [Google Scholar] [CrossRef]
- Thygesen, K.; Alpert, J.S.; Jaffe, A.S.; Chaitman, B.R.; Bax, J.J.; Morrow, D.A.; White, H.D.; Executive Group on behalf of the Joint European Society of Cardiology (ESC)/American College of Cardiology (ACC)/American Heart Association (AHA)/World Heart Federation (WHF) Task Force for the Universal Definition of Myocardial Infarction. Fourth Universal Definition of Myocardial Infarction (2018). J. Am. Coll. Cardiol. 2018, 72, 2231–2264. [Google Scholar] [CrossRef]
- Gerner, S.T.; Auerbeck, K.; Sprügel, M.I.; Sembill, J.A.; Madžar, D.; Gölitz, P.; Hoelter, P.; Kuramatsu, J.B.; Schwab, S.; Huttner, H.B. Peak Troponin I Levels Are Associated with Functional Outcome in Intraerebral Hemorrhage. Cerebrovasc. Dis. 2018, 46, 72–81. [Google Scholar] [CrossRef]
- Gualandro, D.M.; Puelacher, C.; Mueller, C. High-sensitivity cardiac troponin in acute conditions. Curr. Opin. Crit. Care 2014, 20, 472–477. [Google Scholar] [CrossRef] [PubMed]
- Lesch, H.; Haucke, L.; Kruska, M.; Ebert, A.; Becker, L.; Szabo, K.; Akin, I.; Alonso, A.; Fastner, C. Myocardial injury in spontaneous intracerebral hemorrhage is not predicted by prior cardiac disease or neurological status: Results from the Mannheim Stroke database. Front. Neurol. 2025, 16, 1510361. [Google Scholar] [CrossRef] [PubMed]
- Gulia, A.; Srivastava, M.; Kumar, P. Elevated troponin levels as a predictor of mortality in patients with acute stroke: A systematic review and meta-analysis. Front. Neurol. 2024, 15, 1351925. [Google Scholar] [CrossRef]
- Wettersten, N.; Maisel, A. Role of cardiac troponin levels in acute heart failure. Card. Fail. Rev. 2015, 1, 102–106. [Google Scholar] [CrossRef] [PubMed]
- Lesch, H.; Kruska, M.; Marx, A.; Haucke, L.; Ebert, A.; Becker, L.; Szabo, K.; Akin, I.; Alonso, A.; Fastner, C. The phenomenon of dynamic change of cardiac troponin levels in patients with spontaneous intracerebral hemorrhage increases in-hospital mortality independent of macrovascular coronary artery disease. J. Neurol. Sci. 2025, 476, 123633. [Google Scholar] [CrossRef]
- Rosso, M.; Stengl, H.; Scheitz, J.F.; Lewey, J.; Mayer, S.A.; Yaghi, S.; Kasner, S.E.; Witsch, J. Acute myocardial injury in spontaneous intracerebral hemorrhage: A secondary observational analysis of the FAST trial. J. Am. Heart Assoc. 2024, 13, e035053. [Google Scholar] [CrossRef]
- Hays, A.; Diringer, M.N. Elevated troponin levels are associated with higher mortality following intracerebral hemorrhage. Neurology 2006, 66, 1330–1334. [Google Scholar] [CrossRef]
- Maramattom, B.V.; Manno, E.M.; Fulgham, J.R.; Jaffe, A.S.; Wijdicks, E.F.M. Clinical importance of cardiac troponin release and cardiac abnormalities in patients with supratentorial cerebral hemorrhages. Mayo Clin. Proc. 2006, 81, 192–196. [Google Scholar] [CrossRef]
- Safatli, D.A.; Günther, A.; Schlattmann, P.; Schwarz, F.; Kalff, R.; Ewald, C. Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage. Surg. Neurol. Int. 2016, 7, S510–S517. [Google Scholar] [CrossRef]
- ISO 15189; Medical Laboratories—Requirements for Quality and Competence. International Organization for Standardization: Geneva, Switzerland, 2022.
- Ulger, H.; Icme, F.; Parlatan, C.; Avci, B.S.; Aksay, E.; Avci, A. Prognostic relationship between high sensitivity troponin I level, hematoma volume and glasgow coma score in patients diagnosed with spontaneous intracerebral hemorrhage. Ir. J. Med. Sci. 2024, 193, 2559–2565. [Google Scholar] [CrossRef]
- De Rosa, L.; Manara, R.; Vodret, F.; Kulyk, C.; Montano, F.; Pieroni, A.; Viaro, F.; Zedde, M.L.; Napoletano, R.; Ermani, M.; et al. The “SALPARE study” of spontaneous intracerebral hemorrhage: Part 1. Neurol. Res. Pract. 2023, 5, 5. [Google Scholar] [CrossRef] [PubMed]
- Ray, S.K.; Sadekur Rahman Sarkar, M.; Ahmed, K.M.A.; Hasan, M.; Esteak, T.; Uddin, M.N.; Alam, J.A.J.; Hasan, F.M.M.; Chowdhury, M.T.I.; Mondal, M.B.A. Predicting 30-Day Outcomes in Primary Intracerebral Hemorrhage Using the Intracerebral Hemorrhage Score: A Study in Bangladesh. Cureus 2024, 16, e73227. [Google Scholar] [CrossRef] [PubMed]
- Rådholm, K.; Arima, H.; Lindley, R.I.; Wang, J.; Tzourio, C.; Robinson, T.; Heeley, E.; Anderson, C.S.; Chalmers, J.; INTERACT2 Investigators. Older age is a strong predictor for poor outcome in intracerebral haemorrhage: The INTERACT2 study. Age Ageing 2015, 44, 422–427. [Google Scholar] [CrossRef] [PubMed]
- Bahrami, M.; Keyhanifard, M.; Afzali, M. Spontaneous intracerebral hemorrhage, initial computed tomography (CT) scan findings, clinical manifestations and possible risk factors. Am. J. Nucl. Med. Mol. Imaging 2022, 12, 106–112. [Google Scholar]
- Béjot, Y.; Cordonnier, C.; Durier, J.; Aboa-Eboulé, C.; Rouaud, O.; Giroud, M. Intracerebral haemorrhage profiles are changing: Results from the Dijon population-based study. Brain 2013, 136, 658–664. [Google Scholar] [CrossRef]
- Lee, S.H.; Kim, B.J.; Ryu, W.S.; Kim, C.K.; Kim, N.; Park, B.J.; Yoon, B.W. White matter lesions and poor outcome after intracerebral hemorrhage: A nationwide cohort study. Neurology 2010, 74, 1502–1510. [Google Scholar] [CrossRef]
- Bakar, B.; Akkaya, S.; Say, B.; Yuksel, U.; Alhan, A.; Turğut, E.; Ogden, M.; Ergun, U. In spontaneous intracerebral hematoma patients, prediction of the hematoma expansion risk and mortality risk using radiological and clinical markers and a newly developed scale. Neurol. Res. 2021, 43, 482–495. [Google Scholar] [CrossRef]
- Ferrete-Araujo, A.M.; Egea-Guerrero, J.J.; Vilches-Arenas, Á.; Godoy, D.A.; Murillo-Cabezas, F. Predictors of mortality and poor functional outcome in severe spontaneous intracerebral hemorrhage: A prospective observational study. Med. Intensiv. 2015, 39, 422–432. [Google Scholar] [CrossRef]
- Murthy, S.B.; Moradiya, Y.; Dawson, J.; Lees, K.R.; Hanley, D.F.; Ziai, W.C.; VISTA-ICH Collaborators. Perihematomal Edema and Functional Outcomes in Intracerebral Hemorrhage: Influence of Hematoma Volume and Location. Stroke 2015, 46, 3088–3092. [Google Scholar] [CrossRef]
- Peng, W.J.; Li, Q.; Tang, J.H.; Reis, C.; Araujo, C.; Feng, R.; Yuan, M.H.; Jin, L.Y.; Cheng, Y.L.; Jia, Y.J.; et al. The risk factors and prognosis of delayed perihematomal edema in patients with spontaneous intracerebral hemorrhage. CNS Neurosci. Ther. 2019, 25, 1189–1194. [Google Scholar] [CrossRef]
- Wu, T.Y.; Sharma, G.; Strbian, D.; Putaala, J.; Desmond, P.M.; Tatlisumak, T.; Davis, S.M.; Meretoja, A. Natural History of Perihematomal Edema and Impact on Outcome After Intracerebral Hemorrhage. Stroke 2017, 48, 873–879. [Google Scholar] [CrossRef] [PubMed]
- Poon, M.T.C.; Fonville, A.F.; Al-Shahi Salman, R. Long-term prognosis after intracerebral haemorrhage: Systematic review and meta-analysis. J. Neurol. Neurosurg. Psychiatry 2014, 85, 660–667. [Google Scholar] [CrossRef] [PubMed]
- Sasongko, A.B.; Perdana Wahjoepramono, P.O.; Halim, D.; Aviani, J.K.; Adam, A.; Tsai, Y.T.; Wahjoepramono, E.J.; July, J.; Achmad, T.H. Potential blood biomarkers that can be used as prognosticators of spontaneous intracerebral hemorrhage: A systematic review and meta-analysis. PLoS ONE 2025, 20, e0315333. [Google Scholar] [CrossRef]
- Wu, X.; He, H.; Shen, D.; Ye, X.; Chen, Z.; Zou, S.; Zhou, K.; Ye, X.; Zhang, Z.; Li, H.; et al. Usefulness of Serum NOX4 as a Potential Biomarker to Predict Early Neurological Deterioration and Poor Outcome of Spontaneous Intracerebral Hemorrhage: A Prospective Observational Study. Neuropsychiatr. Dis. Treat. 2025, 21, 295–307. [Google Scholar] [CrossRef]
- Garrett, M.C.; Komotar, R.J.; Starke, R.M.; Doshi, D.; Otten, M.L.; Connolly, E.S. Elevated troponin levels are predictive of mortality in surgical intracerebral hemorrhage patients. Neurocrit. Care 2010, 12, 199–203. [Google Scholar] [CrossRef]
- Scheitz, J.F.; Sposato, L.A.; Schulz-Menger, J.; Nolte, C.H.; Backs, J.; Endres, M. Stroke-Heart Syndrome: Recent Advances and Challenges. J. Am. Heart Assoc. 2022, 11, e026528. [Google Scholar] [CrossRef]
- Chung, P.W.; Won, Y.S.; Kwon, Y.J.; Choi, C.S.; Kim, B.M. Initial troponin level as a predictor of prognosis in patients with intracerebral hemorrhage. J. Korean Neurosurg. Soc. 2009, 45, 355–359. [Google Scholar] [CrossRef]
- Hemphill, J.C.; Greenberg, S.M.; Anderson, C.S.; Becker, K.; Bendok, B.R.; Cushman, M.; Fung, G.L.; Goldstein, J.N.; Macdonald, R.L.; Mitchell, P.H.; et al. Guidelines for the Management of Spontaneous Intracerebral Hemorrhage: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 2015, 46, 2032–2060. [Google Scholar] [CrossRef]
- Scheitz, J.F.; Nolte, C.H.; Doehner, W.; Hachinski, V.; Endres, M. Stroke-heart syndrome: Clinical presentation and underlying mechanisms. Lancet Neurol. 2018, 17, 1109–1120. [Google Scholar] [CrossRef]
- Qin, G.; Dai, C.; Feng, S.; Wu, G. Changes of Electrocardiogram and Myocardial Enzymes in Patients with Intracerebral Hemorrhage. Dis. Markers 2022, 2022, 9309444. [Google Scholar] [CrossRef]
- Xu, M.; Lin, J.; Wang, D.; Liu, M.; Hao, Z.; Lei, C. Cardiac troponin and cerebral herniation in acute intracerebral hemorrhage. Brain Behav. 2017, 7, e00697. [Google Scholar] [CrossRef]
- Marins, F.R.; Limborço-Filho, M.; D’Abreu, B.F.; Machado de Almeida, P.W.; Gavioli, M.; Xavier, C.H.; Oppenheimer, S.M.; Guatimosim, S.; Fontes, M.A.P. Autonomic and cardiovascular consequences resulting from experimental hemorrhagic stroke in the left or right intermediate insular cortex in rats. Auton. Neurosci. 2020, 227, 102695. [Google Scholar] [CrossRef]
- Chen, C.H.; Tang, S.C.; Lee, D.Y.; Shieh, J.S.; Lai, D.M.; Wu, A.Y.; Jeng, J.S. Impact of Supratentorial Cerebral Hemorrhage on the Complexity of Heart Rate Variability in Acute Stroke. Sci. Rep. 2018, 8, 11473. [Google Scholar] [CrossRef]
- Etgen, T.; Baum, H.; Sander, K.; Sander, D. Cardiac troponins and N-terminal pro-brain natriuretic peptide in acute ischemic stroke do not relate to clinical prognosis. Stroke 2005, 36, 270–275. [Google Scholar] [CrossRef]
- Abdi, S.; Oveis-Gharan, S.; Sinaei, F.; Ghorbani, A. Elevated troponin T after acute ischemic stroke: Association with severity and location of infarction. Iran. J. Neurol. 2015, 14, 35–40. [Google Scholar] [PubMed]

| Component | Criteria | Points |
|---|---|---|
| GCS score | 3–4 | 2 |
| 5–12 | 1 | |
| 13–15 | 0 | |
| ICH volume | ≥30 mL | 1 |
| <30 mL | 0 | |
| IVH | Present | 1 |
| Absent | 0 | |
| Infratentorial origin | Yes | 1 |
| No | 0 | |
| Age | ≥80 years | 1 |
| <80 years | 0 | |
| Total Score Range | 0–6 |
| Variable | Survived n = 65 (%) | Died n = 35 (%) | p |
|---|---|---|---|
| GCS score | <0.001 A | ||
| 3–4 | 2 (3.1) | 11 (31.4) | |
| 5–12 | 9 (13.8) | 11 (31.4) | |
| 13–15 | 54 (83.1) | 13 (37.2) | |
| ICH volume (mL) | <0.001 B | ||
| <30 | 47 (72.3) | 9 (25.7) | |
| ≥30 | 18 (27.7) | 26 (74.3) | |
| IVH | <0.001 B | ||
| Yes | 15 (23.1) | 26 (74.3) | |
| No | 50 (76.9) | 9 (25.7) | |
| Infratentorial origin | 0.304 B | ||
| Yes | 8 (12.3) | 7 (20.0) | |
| No | 57 (87.7) | 28 (80.0) | |
| Age (years) | 71.35 ± 13.16 | 77.74 ± 10.34 | 0.015 C |
| ICH score | <0.001 A | ||
| 0 | 17 (26.2) | 2 (5.7) | |
| 1 | 26 (40.0) | 2 (5.7) | |
| 2 | 11 (16.9) | 5 (14.3) | |
| 3 | 7 (10.8) | 13 (37.1) | |
| 4 | 4 (6.1) | 6 (17.2) | |
| 5 | 0 (0.0) | 3 (8.6) | |
| 6 | 0 (0.0) | 4 (11.4) | |
| NIHSS | 7.06 ± 5.06 | 23.11 ± 8.60 | <0.001 C |
| Variable | Serum Levels of hs-cTnI | |
|---|---|---|
| r | p | |
| ICH score | 0.311 | 0.002 |
| GCS score | −0.262 | 0.009 |
| ICH volume | 0.347 | <0.001 |
| IVH | 0.342 | 0.001 |
| Infratentorial origin | 0.119 | 0.240 |
| Age | 0.031 | 0.762 |
| NIHSS | 0.381 | <0.001 |
| Model | Variable | B | Exp (B) | 95% CI | p |
|---|---|---|---|---|---|
| 1 | ICH score | 1.017 | 2.764 | 1.829–4.178 | <0.001 |
| 2 | NIHSS | 0.367 | 1.443 | 1.241–1.679 | <0.001 |
| 3 | Serum hs-cTnI levels | 0.027 | 1.028 | 1.012–1.044 | 0.001 |
| Variable | B | Exp (B) | 95% CI | p |
|---|---|---|---|---|
| GCS score | −0.227 | 0.797 | 0.686–0.925 | 0.003 |
| ICH volume | 0.017 | 1.017 | 1.004–1.031 | 0.013 |
| IVH | 1.507 | 4.514 | 1.277–15.958 | 0.019 |
| Infratentorial origin | −0.183 | 0.833 | 0.139–4.996 | 0.841 |
| Age | 0.044 | 1.045 | 0.989–1.104 | 0.116 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Mihic, N.; Cavar, I.; Sulic, J.; Vukojevic, K.; Mabic, M.; Lakicevic, S.; Kvesic, A. Association of Clinical Scores and Cardiac Troponin I with 30-Day Mortality in Patients with Spontaneous Intracerebral Hemorrhage. Epidemiologia 2026, 7, 43. https://doi.org/10.3390/epidemiologia7020043
Mihic N, Cavar I, Sulic J, Vukojevic K, Mabic M, Lakicevic S, Kvesic A. Association of Clinical Scores and Cardiac Troponin I with 30-Day Mortality in Patients with Spontaneous Intracerebral Hemorrhage. Epidemiologia. 2026; 7(2):43. https://doi.org/10.3390/epidemiologia7020043
Chicago/Turabian StyleMihic, Nina, Ivan Cavar, Jelena Sulic, Katarina Vukojevic, Mirela Mabic, Sandra Lakicevic, and Ante Kvesic. 2026. "Association of Clinical Scores and Cardiac Troponin I with 30-Day Mortality in Patients with Spontaneous Intracerebral Hemorrhage" Epidemiologia 7, no. 2: 43. https://doi.org/10.3390/epidemiologia7020043
APA StyleMihic, N., Cavar, I., Sulic, J., Vukojevic, K., Mabic, M., Lakicevic, S., & Kvesic, A. (2026). Association of Clinical Scores and Cardiac Troponin I with 30-Day Mortality in Patients with Spontaneous Intracerebral Hemorrhage. Epidemiologia, 7(2), 43. https://doi.org/10.3390/epidemiologia7020043

