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      Clinical characteristics and prognostic factors in intracranial hemorrhage patients with hematological diseases

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          Abstract

          The clinical characteristics and prognosis of intracranial hemorrhage (ICH) in patients with hematological diseases remain controversial. This study aimed to describe the clinical characteristics and explore the prognostic factors in such patients. A total of 238 ICH patients with a hematological disease were recruited from the Institute of Hematology and Blood Diseases Hospital, China, from January 2015 to April 2020. The Cox proportional hazards model was used to identify the prognostic factors for 30-day mortality in ICH patients with a hematological disease. There were 123 cases of acute leukemia (AL), 20 of myelodysplasia/myeloproliferative neoplasm, 35 of aplastic anemia (AA), 29 of immune thrombocytopenia (ITP), 19 of congenital/acquired coagulation factor deficiency, and 12 of other hematological diseases. Furthermore, 121 patients presented with a multi-site hemorrhage (MSH), 58 with a single-site hemorrhage in the brain parenchyma (PCH), 23 with a subarachnoid hemorrhage, 33 with a subdural hemorrhage (SH), and three with an epidural hemorrhage. The Cox proportional hazards model indicated association of SH (vs PCH, hazard ratio [HR]: 0.230; 95% confidence interval [CI]: 0.053–0.996; P = 0.049), low white blood cells (≤ 100 × 10 9/L vs > 100 × 10 9/L, HR: 0.56; 95% CI: 0.348–0.910; P = 0.019), AA (vs AL, HR: 0.408; 95% CI: 0.203–0.821; P = 0.012), and ITP (vs AL, HR: 0.197; 95% CI: 0.061–0.640; P = 0.007) with improved 30-day mortality. However, increased age (HR: 1.012; 95% CI: 1.001–1.022; P = 0.034), MSH (vs PCH, HR: 1.891; 95% CI: 1.147–3.117; P = 0.012), and a disturbance of consciousness (HR: 1.989; 95% CI: 1.269–3.117; P = 0.003) were associated with increased risk of 30-day mortality. In conclusion, in this study, we revealed the clinical characteristics of Chinese ICH patients with a hematological disease. Moreover, we identified risk factors (age, white blood cells, AA, ITP, SH, MSH, and a disturbance of consciousness) that may influence 30-day mortality.

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          Most cited references32

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          The ICH score: a simple, reliable grading scale for intracerebral hemorrhage.

          Intracerebral hemorrhage (ICH) constitutes 10% to 15% of all strokes and remains without a treatment of proven benefit. Despite several existing outcome prediction models for ICH, there is no standard clinical grading scale for ICH analogous to those for traumatic brain injury, subarachnoid hemorrhage, or ischemic stroke. Records of all patients with acute ICH presenting to the University of California, San Francisco during 1997-1998 were reviewed. Independent predictors of 30-day mortality were identified by logistic regression. A risk stratification scale (the ICH Score) was developed with weighting of independent predictors based on strength of association. Factors independently associated with 30-day mortality were Glasgow Coma Scale score (P /=80 years (P=0.001), infratentorial origin of ICH (P=0.03), ICH volume (P=0.047), and presence of intraventricular hemorrhage (P=0.052). The ICH Score was the sum of individual points assigned as follows: GCS score 3 to 4 (=2 points), 5 to 12 (=1), 13 to 15 (=0); age >/=80 years yes (=1), no (=0); infratentorial origin yes (=1), no (=0); ICH volume >/=30 cm(3) (=1), <30 cm(3) (=0); and intraventricular hemorrhage yes (=1), no (=0). All 26 patients with an ICH Score of 0 survived, and all 6 patients with an ICH Score of 5 died. Thirty-day mortality increased steadily with ICH Score (P<0.005). The ICH Score is a simple clinical grading scale that allows risk stratification on presentation with ICH. The use of a scale such as the ICH Score could improve standardization of clinical treatment protocols and clinical research studies in ICH.
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            Intracerebral haemorrhage.

            Intracerebral haemorrhage is an important public health problem leading to high rates of death and disability in adults. Although the number of hospital admissions for intracerebral haemorrhage has increased worldwide in the past 10 years, mortality has not fallen. Results of clinical trials and observational studies suggest that coordinated primary and specialty care is associated with lower mortality than is typical community practice. Development of treatment goals for critical care, and new sequences of care and specialty practice can improve outcome after intracerebral haemorrhage. Specific treatment approaches include early diagnosis and haemostasis, aggressive management of blood pressure, open surgical and minimally invasive surgical techniques to remove clot, techniques to remove intraventricular blood, and management of intracranial pressure. These approaches improve clinical management of patients with intracerebral haemorrhage and promise to reduce mortality and increase functional survival.
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              Early surgery versus initial conservative treatment in patients with spontaneous supratentorial intracerebral haematomas in the International Surgical Trial in Intracerebral Haemorrhage (STICH): a randomised trial

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                Author and article information

                Contributors
                lidapeng@ihcams.ac.cn
                Journal
                Ann Hematol
                Ann Hematol
                Annals of Hematology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0939-5555
                1432-0584
                30 September 2022
                30 September 2022
                2022
                : 101
                : 12
                : 2617-2625
                Affiliations
                [1 ]GRID grid.461843.c, Department of Emergency, , State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, ; Tianjin, 300020 China
                [2 ]GRID grid.461843.c, Department of Radiology, , State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, ; Tianjin, 300020 China
                [3 ]GRID grid.461843.c, Department of Biostatistics, , State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, ; Tianjin, 300020 China
                Article
                4982
                10.1007/s00277-022-04982-w
                9646537
                36178488
                386a8ea6-6531-430e-bd90-22a890ee53f1
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 February 2022
                : 14 September 2022
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                Hematology
                clinical characteristics,hematological diseases,intracranial hemorrhage,prognosis
                Hematology
                clinical characteristics, hematological diseases, intracranial hemorrhage, prognosis

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