Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans

Background and Purpose: Intracerebral hemorrhage (ICH) constitutes now 52% of all strokes. Despite of its deadly pattern, locally there is no clinical grading scale for ICH-related mortality prediction. The first objective of this study was to develop a risk stratification scale (Kinshasa ICH score)...

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Main Authors: Michel Lelo Tshikwela, Benjamin Longo-Mbenza
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd. 2012-05-01
Series:Journal of Neurosciences in Rural Practice
Subjects:
Online Access:http://www.thieme-connect.de/DOI/DOI?10.4103/0976-3147.98205
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spelling doaj-0ef6623794a84b44929ee9f2e45bd69e2021-02-02T05:19:43ZengThieme Medical and Scientific Publishers Pvt. Ltd.Journal of Neurosciences in Rural Practice0976-31470976-31552012-05-01030211512010.4103/0976-3147.98205Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central AfricansMichel Lelo Tshikwela0Benjamin Longo-Mbenza1Department of Radiology, Kinshasa University School of Medicine and Hospital, Kinshasa, DR Congo, South AfricaResearch Champion Professor, Walter Sisulu University, Faculty of Health Sciences, Mthatha, Eastern Cap, South AfricaBackground and Purpose: Intracerebral hemorrhage (ICH) constitutes now 52% of all strokes. Despite of its deadly pattern, locally there is no clinical grading scale for ICH-related mortality prediction. The first objective of this study was to develop a risk stratification scale (Kinshasa ICH score) by assessing the strength of independent predictors and their association with in-hospital 30-day mortality. The second objective of the study was to create a specific local and African model for ICH prognosis. Materials and Methods: Age, sex, hypertension, type 2 diabetes mellitus (T2DM), smoking, alcohol intake, and neuroimaging data from CT scan (ICH volume, Midline shift) of patients admitted with primary ICH and follow-upped in 33 hospitals of Kinshasa, DR Congo, from 2005 to 2008, were analyzed using logistic regression models. Results: A total of 185 adults and known hypertensive patients (140 men and 45 women) were examined. 30-day mortality rate was 35% (n=65). ICH volume>25 mL (OR=8 95% CI: 3.1-20.2; P<0.0001), presence of coma (OR=6.8 95% CI 2.6-17.4; P<0.0001) and left hemispheric site of ICH (OR 2.6 95% CI: 1.1-6; P=0.027) were identified as significant and independent predictors of 30-day mortality. Midline shift > 7 mm, a consequence of ICH volume, was also a significant predictor of mortality. The Kinshasa ICH score was the sum of individual points assigned as follows: Presence of coma coded 2 (2 × 2 = 4), absence of coma coded 1 (1 × 2 = 2), ICH volume>25 mL coded 2 (2 × 2=4), ICH volume of ≤25 mL coded 1(1 × 2=2), left hemispheric site of ICH coded 2 (2 × 1=2), and right hemispheric site of hemorrhage coded 1(1 × 1 = 1). All patients with Kinshasa ICH score ≤7 survived and the patients with a score >7 died. In considering sex influence (Model 3), points were allowed as follows: Presence of coma (2 × 3 = 6), absence of coma (1 × 3 = 3), men (2 × 2 = 4), women (1 × 2 = 2), midline shift ≤7 mm (1 × 3 = 3), and midline shift >7 mm (2 × 3 = 6). Patients who died had the Kinshasa ICH score ≥16. Conclusion: In this study, the Kinshasa ICH score seems to be an accurate method for distinguishing those ICH patients who need continuous and special management. It needs to be validated among large African hypertensive populations with a high rate of 30-day in–hospital mortality.http://www.thieme-connect.de/DOI/DOI?10.4103/0976-3147.98205clinical and neuroimaging dataintracerebral hemorrhagepredictors of mortalitysub-saharan africa
collection DOAJ
language English
format Article
sources DOAJ
author Michel Lelo Tshikwela
Benjamin Longo-Mbenza
spellingShingle Michel Lelo Tshikwela
Benjamin Longo-Mbenza
Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans
Journal of Neurosciences in Rural Practice
clinical and neuroimaging data
intracerebral hemorrhage
predictors of mortality
sub-saharan africa
author_facet Michel Lelo Tshikwela
Benjamin Longo-Mbenza
author_sort Michel Lelo Tshikwela
title Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans
title_short Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans
title_full Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans
title_fullStr Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans
title_full_unstemmed Spontaneous intracerebral hemorrhage: Clinical and computed tomography findings in predicting in-hospital mortality in Central Africans
title_sort spontaneous intracerebral hemorrhage: clinical and computed tomography findings in predicting in-hospital mortality in central africans
publisher Thieme Medical and Scientific Publishers Pvt. Ltd.
series Journal of Neurosciences in Rural Practice
issn 0976-3147
0976-3155
publishDate 2012-05-01
description Background and Purpose: Intracerebral hemorrhage (ICH) constitutes now 52% of all strokes. Despite of its deadly pattern, locally there is no clinical grading scale for ICH-related mortality prediction. The first objective of this study was to develop a risk stratification scale (Kinshasa ICH score) by assessing the strength of independent predictors and their association with in-hospital 30-day mortality. The second objective of the study was to create a specific local and African model for ICH prognosis. Materials and Methods: Age, sex, hypertension, type 2 diabetes mellitus (T2DM), smoking, alcohol intake, and neuroimaging data from CT scan (ICH volume, Midline shift) of patients admitted with primary ICH and follow-upped in 33 hospitals of Kinshasa, DR Congo, from 2005 to 2008, were analyzed using logistic regression models. Results: A total of 185 adults and known hypertensive patients (140 men and 45 women) were examined. 30-day mortality rate was 35% (n=65). ICH volume>25 mL (OR=8 95% CI: 3.1-20.2; P<0.0001), presence of coma (OR=6.8 95% CI 2.6-17.4; P<0.0001) and left hemispheric site of ICH (OR 2.6 95% CI: 1.1-6; P=0.027) were identified as significant and independent predictors of 30-day mortality. Midline shift > 7 mm, a consequence of ICH volume, was also a significant predictor of mortality. The Kinshasa ICH score was the sum of individual points assigned as follows: Presence of coma coded 2 (2 × 2 = 4), absence of coma coded 1 (1 × 2 = 2), ICH volume>25 mL coded 2 (2 × 2=4), ICH volume of ≤25 mL coded 1(1 × 2=2), left hemispheric site of ICH coded 2 (2 × 1=2), and right hemispheric site of hemorrhage coded 1(1 × 1 = 1). All patients with Kinshasa ICH score ≤7 survived and the patients with a score >7 died. In considering sex influence (Model 3), points were allowed as follows: Presence of coma (2 × 3 = 6), absence of coma (1 × 3 = 3), men (2 × 2 = 4), women (1 × 2 = 2), midline shift ≤7 mm (1 × 3 = 3), and midline shift >7 mm (2 × 3 = 6). Patients who died had the Kinshasa ICH score ≥16. Conclusion: In this study, the Kinshasa ICH score seems to be an accurate method for distinguishing those ICH patients who need continuous and special management. It needs to be validated among large African hypertensive populations with a high rate of 30-day in–hospital mortality.
topic clinical and neuroimaging data
intracerebral hemorrhage
predictors of mortality
sub-saharan africa
url http://www.thieme-connect.de/DOI/DOI?10.4103/0976-3147.98205
work_keys_str_mv AT michellelotshikwela spontaneousintracerebralhemorrhageclinicalandcomputedtomographyfindingsinpredictinginhospitalmortalityincentralafricans
AT benjaminlongombenza spontaneousintracerebralhemorrhageclinicalandcomputedtomographyfindingsinpredictinginhospitalmortalityincentralafricans
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