EVALUATION OF SOME FACTORS PREDICTING MORTALITY ON MULTI-SLICE COMPUTED TOMOGRAPHY COMBINED WITH THE RICH SCORE IN PATIENTS WITH SUPRATENTORIAL INTRACRANIAL HAEMORRHAGE DUE TO HYPERTENSION

Quang Anh Đào, Quang Lục Trần, Văn Sơn Nguyễn , Công Nguyên Bùi, Đức Trung Nguyễn , Phương Chinh Trần

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Abstract

Background and aims: Evaluation of some factors predicting mortality on multi-detector row computed tomography combined with the rICH score in patients with supratentorial intracranial haemorrhage due to hypertension, comparing the prognostication value with the ICH and MICH scores. Methods: A retrospective descriptive study on 124 patients with supratentorial intracranial haemorrhage due to hypertension at Phu Tho Provincial General Hospital from February 2022 to February 2024 to identify some factors predicting mortality in 90 days. Use the ROC curve to calculate the prognostication value of some mortality risk factors and compare the prognostication value of the rICH score with the ICH and MICH scores. Results: The sum of 124 patients was selected, including 91 men (73.38%); the Average age was 64.67±13.22; The 90-day mortality rate was 30.65%. The odds ratio shows age ≥70 (OR: 3.095; 95%CI: 1.3856.916), GCS ≤12 (OR: 69.067; 95%CI: 9.024-528.607), haemorrhage volume ≥30cm3 (OR: 3.176; 95%CI: 1.439-7.009), intraventricular haemorrhage (OR: 11.71; 95%CI: 4.145-33.079), IVHS >12 (OR:5, 95%CI: 1.625-15.386) are factors Independently predict the patient's risk of death. The rich score predicts 90-day mortality with the area under the curve: AUROC=0.863 (95%CI:0.79-0.918), a cutoff point >1, the sensitivity is 97.4% and Specificity 62.8%. Conclusion: Haemorrhage volume ≥30cm3, intraventricular haemorrhage, IVHS score>12, GCS score ≤12, the rICH scale has a high value in determining mortality prognosis in patients with supratentorial cerebral haemorrhage due to hypertension; However, the difference is not statistically significant when comparing the scales with each other.

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References

1. Lun R, Yogendrakumar V, Ramsay T, et al. Predicting long-term outcomes in acute intracerebral haemorrhage using delayed prognostication scores. Stroke Vasc Neurol. 2021;6(4). doi:10.1136/svn-2020-000656
2. Hegde A, Menon G. Modifying the intracerebral haemorrhage score to suit the needs of the developing world. Ann Indian Acad Neurol. 2018;21(4):270. doi:10.4103/aian.AIAN_419_17
3. Hemphill JC, Bonovich DC, Besmertis L, et al. The ICH score: a simple, reliable grading scale for intracerebral haemorrhage. Stroke. Apr 2001;32(4):891-7.
4. Cho DY, Chen CC, Lee WY, et al. A new Modified Intracerebral Hemorrhage Score for treatment decisions in basal ganglia haemorrhage—a randomised trial. Critical Care Medicine. 2008; 36(7): 2151. doi:10.1097/CCM. 0b013e318173fc99
5. Trần Thị Kiều Diễm, Nguyễn Đình Toàn. Nghiên cứu phân tầng nguy cơ dự báo tiên lượng trong 30 ngày ở bệnh nhân xuất huyết não. Tạp chí Y Dược học. Tập 6, số 5, tháng 10, 2016. doi: 10.34071/jmp.2016.5.11
6. Hallevi H, Dar NS, Barreto AD, et al. The IVH Score: A novel tool for estimating intraventricular haemorrhage volume: Clinical and research implications*: Critical Care Medicine. 2009;37(3): 969-e1. doi:10.1097/ CCM.0b013e318198683a
7. Rahmani F, Rikhtegar R, Ala A, et al. Predicting 30-day mortality in patients with primary intracerebral haemorrhage: Evaluation of the value of intracerebral haemorrhage and modified new intracerebral haemorrhage scores. Iranian Journal of Neurology. 2018;17(1):47.
8. Li R, Yang WS, Wei X, et al. The slice score: A novel scale measuring intraventricular haemorrhage severity and predicting poor outcome following intracerebral haemorrhage. Clinical Neurology and Neurosurgery. 2020;195: 105898. doi:10.1016/j.clineuro.2020. 10589814.