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Year 2025, Volume: 15 Issue: 4, 346 - 356

Abstract

References

  • Wang S, Zou XL, Wu LX, et al. Epidemiology of intracerebral hemorrhage: A systematic review and meta-analysis. Front Neurol. 2022;13:915813. doi:10.3389/fneur.2022.915813
  • Gross BA, Jankowitz BT, Friedlander RM. Cerebral intraparenchymal hemorrhage: A review. JAMA. 2019;321(13):1295-1303. doi:10.1001/jama.2019.2413
  • Kittner SJ, Sekar P, Comeau ME, et al. Ethnic and racial variation in intracerebral hemorrhage risk factors and risk factor burden. JAMA Netw Open. 2021;4(8):e2121921. doi:10.1001/jamanetworkopen.2021.21921
  • Gusdon AM, Gialdini G, Kone G, et al. Neutrophil-lymphocyte ratio and perihematomal edema growth in intracerebral hemorrhage. Stroke. 2017;48:2589-2592. doi:10.1161/strokeaha.117.018120
  • Lee KH, Lioutas VA, Marchina S, Selim M, iDEF Investigators. The prognostic roles of perihematomal edema and ventricular size in patients with intracerebral hemorrhage. Neurocrit Care. 2022;37(2):455-462. doi:10.1007/s12028-022-01532-0
  • Tian M, Li Y, Wang X, et al. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is associated with poor outcome of acute ischemic stroke. Front Neurol. 2021;11:610318. doi:10.3389/fneur.2020.610318
  • Zhang Y, Xing Z, Zhou K, Jiang S. The predictive role of systemic inflammation response index (SIRI) in the prognosis of stroke patients. Clin Interv Aging. 2021;16:1997-2007. doi:10.2147/cia.S339221
  • Xu SS, Li S, Xu HX, et al. Haemoglobin, albumin, lymphocyte and platelet predicts postoperative survival in pancreatic cancer. World J Gastroenterol. 2020;26(8):828-838. doi:10.3748/wjg.v26.i8.828
  • Qi Q, Zhuang L, Shen Y, et al. A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy. Cancer. 2016;122:2158-2167. doi:10.1002/cncr.30057
  • Francoeur CL, Mayer SA, VISTA-ICH Collaborators. Acute blood pressure and outcome after intracerebral hemorrhage: the VISTA-ICH cohort. J Stroke Cerebrovasc Dis. 2021;30(1):105456. doi:10.1016/j.jstrokecerebrovasdis.2020.105456
  • Wei MC, Kornelius E, Chou YH, Yang YS, Huang JY, Huang CN. Optimal initial blood pressure in intensive care unit patients with non-traumatic intracranial hemorrhage. Int J Environ Res Public Health. 2020;17(10):3436. doi:10.3390/ijerph17103436
  • Hong S, Maruyama K, Noguchi A, Hirano T, Nagane M, Shiokawa Y. Is using intracerebral hemorrhage scoring systems valid for mortality prediction in surgically treated patients? Neurosurg Rev. 2021;44(5):2747-2753. doi:10.1007/s10143-020-01451-8
  • Lioutas VA, Marchina S, Caplan LR, et al. Endotracheal intubation and in-hospital mortality after intracerebral hemorrhage. Cerebrovasc Dis. 2018;45(5-6):270-278. doi:10.1159/000489273
  • Huang YW, Huang HL, Li ZP, Yin XS. Research advances in imaging markers for predicting hematoma expansion in intracerebral hemorrhage: A narrative review. Front Neurol. 2023;14:1176390. doi:10.3389/fneur.2023.1176390
  • Teo KC, Fong SM, Leung WC, et al. Location-specific hematoma volume cutoff and clinical outcomes in intracerebral hemorrhage. Stroke. 2023;54(6):1548-1557. doi:10.1161/STROKEAHA.122.041246
  • Abulhasan YB, Teitelbaum J, Al-Ramadhani K, Morrison KT, Angle MR. Functional outcomes and mortality in patients with intracerebral hemorrhage after intensive medical and surgical support. Neurology. 2023;100(19):e1985-e1995. doi:10.1212/WNL.0000000000207132
  • Trifan G, Arshi B, Testai FD. Intraventricular hemorrhage severity as a predictor of outcome in intracerebral hemorrhage. Front Neurol. 2019;10:217. doi:10.3389/fneur.2019.00217
  • Coşkun Y, Işık S, Bayram T, Urgun K, Sakarya S, Akman I. A clinical scoring system to predict the development of intraventricular hemorrhage (IVH) in premature infants. Childs Nerv Syst. 2018;34(1):129-136. doi:10.1007/s00381-017-3610-z
  • Safatli DA, 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(Suppl 18):S510-7. doi:10.4103/2152-7806.187493
  • Xu XM, Zhang H, Meng RL. Cranial midline shift is a predictor of the clinical prognosis of acute cerebral infarction patients undergoing emergency endovascular treatment. Sci Rep. 2023;13:21037. doi:10.1038/s41598-023-48401-0
  • Yang WS, Li Q, Li R, et al. Defining the optimal midline shift threshold to predict poor outcome in patients with supratentorial spontaneous intracerebral hemorrhage. Neurocrit Care. 2018;28:314-321. doi:10.1007/s12028-017-0483-7
  • Bader ER, Pana TA, Barlas RS, Metcalf AK, Potter JF, Myint PK. Elevated inflammatory biomarkers and poor outcomes in intracerebral hemorrhage. J Neurol. 2022;269(12):6330-6341. doi:10.1007/s00415-022-11284-8
  • Huang YW, Yin XS, Li ZP. Association of the stress hyperglycemia ratio and clinical outcomes in patients with stroke: A systematic review and meta-analysis. Front Neurol. 2022;13:999536. doi:10.3389/fneur.2022.999536
  • Gerner ST, Auerbeck K, Sprügel MI, et al. Peak troponin I levels are associated with functional outcome in intracerebral hemorrhage. Cerebrovasc Dis. 2018;46(1-2):72-81. doi:10.1159/000492395
  • Shang F, Zhao H, Cheng W, Qi M, Wang N, Qu X. Predictive value of the serum albumin level on admission in patients with spontaneous subarachnoid hemorrhage. Front Surg. 2021;8:719226. doi:10.3389/fsurg.2021.719226
  • Li L, Zhang H, Feng GL. Neutrophil-to-lymphocyte ratio predicts in-hospital mortality in intracerebral hemorrhage. J Stroke Cerebrovasc Dis. 2022;31(8):106611. doi:10.1016/j.jstrokecerebrovasdis.2022.106611
  • Wang J, Du Y, Wang A, et al. Systemic inflammation and immune index predicting outcomes in patients with intracerebral hemorrhage. Neurol Sci. 2023;44(7):2443-2453. doi:10.1007/s10072-023-06632-z
  • Zhang Y, Zhang S. Prognostic value of glucose-to-lymphocyte ratio in critically ill patients with acute respiratory distress syndrome: A retrospective cohort study. J Clin Lab Anal. 2022;36(5):e24397. doi:10.1002/jcla.24397
  • Hillal A, Sultani G, Ramgren B, Norrving B, Wassélius J, Ullberg T. Accuracy of automated intracerebral hemorrhage volume measurement on non-contrast computed tomography: A Swedish Stroke Register cohort study. Neuroradiology. 2023;65(3):479-488. doi:10.1007/s00234-022-03075-9
  • Menon G, Johnson SE, Hegde A, Rathod S, Nayak R, Nair R. Neutrophil to lymphocyte ratio–A novel prognostic marker following spontaneous intracerebral haemorrhage. Clin Neurol Neurosurg. 2021;200:106339. doi:10.1016/j.clineuro.2020.106339
  • Kurt E, Kurt SZE. Investigation of the relationship between HALP score and mortality in patients with acute ischemic stroke. Disaster Emerg Med J. 2022;7(4):203-208. doi:10.5603/DEMJ.a2022.0036

Clinical, Laboratory, And Radiological Predictors of 30-Day Mortality in Patients With Spontaneous Intracerebral Hemorrhage

Year 2025, Volume: 15 Issue: 4, 346 - 356

Abstract

Objective: This study retrospectively evaluated the clinical, laboratory, and radiological predictors of 30-day mortality in patients with spontaneous intracerebral hemorrhage(ICH), along with the discriminative power of various inflammatory and prognostic indices.
Materials and Methods: Between January 2022 and December 2024, the demographic characteristics, vital signs, laboratory parameters, and imaging findings of 150 patients who presented to the emergency department with spontaneous ICH and had accessible 30-day mortality data were retrospectively analyzed. Inflammatory indices including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), HALP score, systemic inflammation response index (SIRI), and glucose-to-lymphocyte ratio were calculated. Patients were stratified according to 30-day survival status, and intergroup comparisons were performed. The predictive performance of these indices was assessed ROC curve analysis.
Results: A total of 47.3% of the patients died within 30 days. Low Glasgow Coma Scale(GCS) , large hematoma volume, presence of intraventricular hemorrhage(IVH), midline shift, need for intubation, and elevated blood pressure were all significantly associated with mortality (all p < 0.001). Hematoma volume had the highest area under the ROC curve (AUROC = 0.897; 95% CI: 0.847–0.947). The HALP score was significantly lower in non-survivors, while NLR, PLR, SIRI, and the glucose-to-lymphocyte ratio were significantly higher in this group (all p < 0.001). NLR demonstrated particularly high specificity (88.6%) for predicting mortality.
Conclusion: Hematoma volume is the best way to predict mortality in spontaneous ICH. Simple inflammatory indices such as NLR, HALP and SIRI can also help with early risk stratification.

References

  • Wang S, Zou XL, Wu LX, et al. Epidemiology of intracerebral hemorrhage: A systematic review and meta-analysis. Front Neurol. 2022;13:915813. doi:10.3389/fneur.2022.915813
  • Gross BA, Jankowitz BT, Friedlander RM. Cerebral intraparenchymal hemorrhage: A review. JAMA. 2019;321(13):1295-1303. doi:10.1001/jama.2019.2413
  • Kittner SJ, Sekar P, Comeau ME, et al. Ethnic and racial variation in intracerebral hemorrhage risk factors and risk factor burden. JAMA Netw Open. 2021;4(8):e2121921. doi:10.1001/jamanetworkopen.2021.21921
  • Gusdon AM, Gialdini G, Kone G, et al. Neutrophil-lymphocyte ratio and perihematomal edema growth in intracerebral hemorrhage. Stroke. 2017;48:2589-2592. doi:10.1161/strokeaha.117.018120
  • Lee KH, Lioutas VA, Marchina S, Selim M, iDEF Investigators. The prognostic roles of perihematomal edema and ventricular size in patients with intracerebral hemorrhage. Neurocrit Care. 2022;37(2):455-462. doi:10.1007/s12028-022-01532-0
  • Tian M, Li Y, Wang X, et al. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is associated with poor outcome of acute ischemic stroke. Front Neurol. 2021;11:610318. doi:10.3389/fneur.2020.610318
  • Zhang Y, Xing Z, Zhou K, Jiang S. The predictive role of systemic inflammation response index (SIRI) in the prognosis of stroke patients. Clin Interv Aging. 2021;16:1997-2007. doi:10.2147/cia.S339221
  • Xu SS, Li S, Xu HX, et al. Haemoglobin, albumin, lymphocyte and platelet predicts postoperative survival in pancreatic cancer. World J Gastroenterol. 2020;26(8):828-838. doi:10.3748/wjg.v26.i8.828
  • Qi Q, Zhuang L, Shen Y, et al. A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy. Cancer. 2016;122:2158-2167. doi:10.1002/cncr.30057
  • Francoeur CL, Mayer SA, VISTA-ICH Collaborators. Acute blood pressure and outcome after intracerebral hemorrhage: the VISTA-ICH cohort. J Stroke Cerebrovasc Dis. 2021;30(1):105456. doi:10.1016/j.jstrokecerebrovasdis.2020.105456
  • Wei MC, Kornelius E, Chou YH, Yang YS, Huang JY, Huang CN. Optimal initial blood pressure in intensive care unit patients with non-traumatic intracranial hemorrhage. Int J Environ Res Public Health. 2020;17(10):3436. doi:10.3390/ijerph17103436
  • Hong S, Maruyama K, Noguchi A, Hirano T, Nagane M, Shiokawa Y. Is using intracerebral hemorrhage scoring systems valid for mortality prediction in surgically treated patients? Neurosurg Rev. 2021;44(5):2747-2753. doi:10.1007/s10143-020-01451-8
  • Lioutas VA, Marchina S, Caplan LR, et al. Endotracheal intubation and in-hospital mortality after intracerebral hemorrhage. Cerebrovasc Dis. 2018;45(5-6):270-278. doi:10.1159/000489273
  • Huang YW, Huang HL, Li ZP, Yin XS. Research advances in imaging markers for predicting hematoma expansion in intracerebral hemorrhage: A narrative review. Front Neurol. 2023;14:1176390. doi:10.3389/fneur.2023.1176390
  • Teo KC, Fong SM, Leung WC, et al. Location-specific hematoma volume cutoff and clinical outcomes in intracerebral hemorrhage. Stroke. 2023;54(6):1548-1557. doi:10.1161/STROKEAHA.122.041246
  • Abulhasan YB, Teitelbaum J, Al-Ramadhani K, Morrison KT, Angle MR. Functional outcomes and mortality in patients with intracerebral hemorrhage after intensive medical and surgical support. Neurology. 2023;100(19):e1985-e1995. doi:10.1212/WNL.0000000000207132
  • Trifan G, Arshi B, Testai FD. Intraventricular hemorrhage severity as a predictor of outcome in intracerebral hemorrhage. Front Neurol. 2019;10:217. doi:10.3389/fneur.2019.00217
  • Coşkun Y, Işık S, Bayram T, Urgun K, Sakarya S, Akman I. A clinical scoring system to predict the development of intraventricular hemorrhage (IVH) in premature infants. Childs Nerv Syst. 2018;34(1):129-136. doi:10.1007/s00381-017-3610-z
  • Safatli DA, 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(Suppl 18):S510-7. doi:10.4103/2152-7806.187493
  • Xu XM, Zhang H, Meng RL. Cranial midline shift is a predictor of the clinical prognosis of acute cerebral infarction patients undergoing emergency endovascular treatment. Sci Rep. 2023;13:21037. doi:10.1038/s41598-023-48401-0
  • Yang WS, Li Q, Li R, et al. Defining the optimal midline shift threshold to predict poor outcome in patients with supratentorial spontaneous intracerebral hemorrhage. Neurocrit Care. 2018;28:314-321. doi:10.1007/s12028-017-0483-7
  • Bader ER, Pana TA, Barlas RS, Metcalf AK, Potter JF, Myint PK. Elevated inflammatory biomarkers and poor outcomes in intracerebral hemorrhage. J Neurol. 2022;269(12):6330-6341. doi:10.1007/s00415-022-11284-8
  • Huang YW, Yin XS, Li ZP. Association of the stress hyperglycemia ratio and clinical outcomes in patients with stroke: A systematic review and meta-analysis. Front Neurol. 2022;13:999536. doi:10.3389/fneur.2022.999536
  • Gerner ST, Auerbeck K, Sprügel MI, et al. Peak troponin I levels are associated with functional outcome in intracerebral hemorrhage. Cerebrovasc Dis. 2018;46(1-2):72-81. doi:10.1159/000492395
  • Shang F, Zhao H, Cheng W, Qi M, Wang N, Qu X. Predictive value of the serum albumin level on admission in patients with spontaneous subarachnoid hemorrhage. Front Surg. 2021;8:719226. doi:10.3389/fsurg.2021.719226
  • Li L, Zhang H, Feng GL. Neutrophil-to-lymphocyte ratio predicts in-hospital mortality in intracerebral hemorrhage. J Stroke Cerebrovasc Dis. 2022;31(8):106611. doi:10.1016/j.jstrokecerebrovasdis.2022.106611
  • Wang J, Du Y, Wang A, et al. Systemic inflammation and immune index predicting outcomes in patients with intracerebral hemorrhage. Neurol Sci. 2023;44(7):2443-2453. doi:10.1007/s10072-023-06632-z
  • Zhang Y, Zhang S. Prognostic value of glucose-to-lymphocyte ratio in critically ill patients with acute respiratory distress syndrome: A retrospective cohort study. J Clin Lab Anal. 2022;36(5):e24397. doi:10.1002/jcla.24397
  • Hillal A, Sultani G, Ramgren B, Norrving B, Wassélius J, Ullberg T. Accuracy of automated intracerebral hemorrhage volume measurement on non-contrast computed tomography: A Swedish Stroke Register cohort study. Neuroradiology. 2023;65(3):479-488. doi:10.1007/s00234-022-03075-9
  • Menon G, Johnson SE, Hegde A, Rathod S, Nayak R, Nair R. Neutrophil to lymphocyte ratio–A novel prognostic marker following spontaneous intracerebral haemorrhage. Clin Neurol Neurosurg. 2021;200:106339. doi:10.1016/j.clineuro.2020.106339
  • Kurt E, Kurt SZE. Investigation of the relationship between HALP score and mortality in patients with acute ischemic stroke. Disaster Emerg Med J. 2022;7(4):203-208. doi:10.5603/DEMJ.a2022.0036
There are 31 citations in total.

Details

Primary Language English
Subjects Emergency Medicine
Journal Section Research Article
Authors

Remzi Çetinkaya 0000-0002-9440-0392

Mehmet Ozel 0000-0002-4797-7017

Ali Cankut Tatliparmak 0000-0002-6729-5021

Yusuf Ölker 0009-0007-0417-0452

Early Pub Date November 17, 2025
Publication Date November 17, 2025
Submission Date July 21, 2025
Acceptance Date September 9, 2025
Published in Issue Year 2025 Volume: 15 Issue: 4

Cite

AMA Çetinkaya R, Ozel M, Tatliparmak AC, Ölker Y. Clinical, Laboratory, And Radiological Predictors of 30-Day Mortality in Patients With Spontaneous Intracerebral Hemorrhage. Sakarya Tıp Dergisi. November 2025;15(4):346-356. doi:10.31832/smj.1745387

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