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(Stroke. 1997;28:2370-2375.)
© 1997 American Heart Association, Inc.


Articles

Predisposing Factors to Enlargement of Spontaneous Intracerebral Hematoma

S. Kazui, MD; K. Minematsu, MD; H. Yamamoto, MD; T. Sawada, MD; T. Yamaguchi, MD

From the Cerebrovascular Division, Department of Medicine, National Cardiovascular Center, Osaka, Japan.

Correspondence to Seiji Kazui, MD, Cerebrovascular Division, Department of Medicine, National Cardiovascular Center, 5–7-1 Fujishirodai, Suita, Osaka 565, Japan. E mail skazui@hsp.ncvc.go.jp


*    Abstract
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*Abstract
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down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
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Background and Purpose Enlargement of intracerebral hemorrhage is a major cause of clinical deterioration. Identification of factors that predispose to hematoma enlargement is important in managing patients.

Methods We selected 186 patients (71 women and 115 men; mean age, 64.8±12.5 years) with spontaneous intracerebral hemorrhage who had undergone an initial CT within 24 hours and a second scan within 120 hours of symptom onset. We compared patients with (n=41) and without (n=145) hematoma enlargement according to clinical characteristics and laboratory data.

Results By multiple logistic regression analysis (n=139), interaction of long interval (>6 hours) from onset to first CT and small hematoma (<25 cm3) strongly reduced risk of enlargement. The analysis also demonstrated that the following factors independently predisposed to enlargement: history of brain infarction; liver disease; interaction of fasting plasma glucose >=141 mg/dL and systolic blood pressure on admission >=200 mm Hg; and interaction of glycosylated hemoglobin A1c >=5.1% and systolic blood pressure on admission >=200 mm Hg.

Conclusions A patient examined >6 hours after ictus who has a hematoma volume <25 cm3 is unlikely to experience further hematoma growth. Prevention of brain infarction and premorbid management of liver disease may serve to lower the risk of hematoma enlargement. Although it remains controversial whether antihypertensive drugs should be used in the acute phase of intracerebral hemorrhage, poorly controlled diabetics with high systolic blood pressure (>=200 mm Hg) on admission also were at high risk of hematoma enlargement.


Key Words: hematoma • hypertension • intracerebral hemorrhage • diabetes mellitus


*    Introduction
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*Introduction
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down arrowResults
down arrowDiscussion
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Enlargement of ICH is a major cause of clinical deterioration.1 2 3 4 Identification of factors that predispose to enlargement is important in managing patients with acute ICH. We classified ICH patients into groups with and without radiographic evidence of enlargement.3 By univariate and multivariate statistical analyses of clinical parameters, we determined factors influencing hematoma expansion.


*    Subjects and Methods
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*Subjects and Methods
down arrowResults
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We retrospectively reviewed the records of 264 consecutive patients with ICH admitted to our stroke care unit whose diagnosis was confirmed by CT within 24 hours of the ictus from January 1, 1985, to December 31, 1994. CT examinations were repeated routinely within a few days of admission. An additional CT scan was also performed when a clinical deterioration was noticed. Excluded were patients with hemorrhage due to aneurysmal rupture (n=1), arteriovenous malformations (4), moyamoya disease (3), and infective endocarditis (5), as well as those receiving anticoagulants (9) or antiplatelet agents (12). Patients undergoing a second CT >120 hours after the onset of ICH (25) were also excluded because the hematoma margin became ill defined. In addition, we excluded patients who died (14) or who underwent neurosurgery (5) before a second CT examination. The remaining patients (n=186, 71 women and 115 men; mean age, 64.8±12.5 years) served as subjects for the present study.

Risk factors examined included age, sex, smoking habit, alcohol consumption, hypertension, hypercholesterolemia, diabetes mellitus, brain infarction, ischemic heart disease, and liver disease. Specifically, subjects were classified as nonsmokers or current smokers; nondrinkers or current drinkers; and consumers of >=46 or <46 g ethanol per day. Hypertension was present given a history of antihypertensive medication, a systolic blood pressure >160 mm Hg, or a diastolic blood pressure >90 mm Hg at least twice before onset of ICH. Hypercholesterolemia was defined as total serum cholesterol concentration >220 mg/dL. Diabetes mellitus was diagnosed according to the definition cited by the National Diabetes Data Group.5 We classified the infarctions according to the system of the National Institute of Neurological Disorders and Stroke.6 Clinically diagnosed liver diseases included cirrhosis, chronic active hepatitis, alcoholic liver damage, fatty liver, and others. Just before the first CT, the patient's neurological state was evaluated by a neurologist, including level of consciousness, aphasia, neglect or other discrete deficits in higher cortical function, abnormalities in visual fields, eye position, pupillary function, gaze, motor and sensory function, and plantar responses. A GCS score7 was calculated from the written description of the examination. Motor weakness was graded from 0 (complete plegia) to 5 (full strength). Systolic and diastolic blood pressures were recorded when CT was performed and at 10 AM on hospital days 2, 3, 4, 5, 6, 7, and 30. Clinical outcome was assessed by the modified Rankin Scale8 (grades 0 to 5) at 30 days or at discharge, if sooner. Death represented a Rankin score of 6.9

The intervals from the onset of ICH to the first and second CT scans (T1 and T2) were recorded in each patient. In cases of onset during sleep, the recorded onset was on awaking. All CTs were retrieved and evaluated by two of the authors (S.K. and H.Y.) and three of their associates until a consensus was reached regarding hematoma location, such as putaminal, thalamic, lobar, pontine, cerebellar, or others. If the origin of a massive ICH could not be determined as either thalamic or putaminal, the designation was mixed. ICH volume was determined in the following manner.9 10 11 12 On the CT slice with the largest area of ICH, the longest diameter (A) of the hematoma was measured from the centimeter scale on the film. The largest possible diameter perpendicular to the longest diameter represented the second diameter (B). The height of the hematoma was calculated by multiplying the number of slices involved by slice thickness, providing the third diameter (C). Each diameter was determined to half a centimeter.12 13 Hemorrhage within the ventricular system was not measured. The three diameters were multiplied and then divided by 2 (AxBxC/2) to obtain the volume of ICH. Kothari and coauthors12 have found that this formula AxBxC/2 correlates highly with volumes calculated by planimetric methods and shows excellent interrater and intrarater agreement. A cutpoint, V2-V1 >=12.5 cm3 or V2/V1 >=1.4 (where V1 is hematoma volume on the first CT and V2 is hematoma volume on the second CT), which we have determined previously by receiver characteristic curve analyses,3 defined hematoma enlargement. We divided the 186 patients into enlargement and nonenlargement groups.

The following laboratory tests for hematology and blood chemistry were performed at admission: sodium, potassium, chloride, aspartate aminotransferase, alanine aminotransferase, lactate dehydrogenase, creatine kinase, urea nitrogen, creatinine, total protein, total bilirubin, blood glucose, white cell count, red cell count, hemoglobin, hematocrit, and platelet count. On the next weekday morning, laboratory studies were performed as follows: total protein, albumin, albumin-globulin ratio, gamma-glutamyl transpeptidase, total cholesterol, triglyceride, uric acid, FPG, HbA1c, prothrombin time, activated partial thromboplastin time, fibrinogen, and fibrin degradation products. Left ventricular hypertrophy was diagnosed electrocardiographically by Estes criteria (score >=4).14 15

Statistical Analyses
We used the Base SAS and SAS/STAT, version 6 (SAS Institute Inc) for statistical analysis. Univariate analyses were performed based on the {chi}2 test for categorical variables or Fisher's exact test for instances in which the individual cells of a 2x2 table had counts less than five. Continuous variables were assessed twice, as dichotomized variables for the {chi}2 test or Fisher's exact test and as continuous measures for the t test (age, time interval from onset to CT, hematoma volume, serum electrolytes, blood cell counts, and values of blood pressure) or Wilcoxon rank sum test (other laboratory tests). The Wilcoxon rank sum test was also used in analyzing Estes score, GCS score, score of motor weakness, and modified Rankin scale. Values of P<.05 were considered statistically significant. We performed multivariate analyses for the patients with full laboratory data using a logistic regression model16 to identify factors predictive of hematoma enlargement. We chose variables for entry on the basis of clinical importance from among those with values of P<.05 after univariate testing. Significant interactions were assessed among the variables by the Breslow-Day test with values of P<.15. We performed variable selection using the stepwise procedure of forward selection with a test for backward elimination with values of P>.15.


*    Results
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*Results
down arrowDiscussion
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Hematoma location was as follows (Table 1Down): putaminal in 64 patients (34%), thalamic in 61 (33%), mixed in 5 (3%), lobar in 31 (17%), pontine in 10 (5%), cerebellar in 8 (4%), and other sites in 7 (4%). A history of hypertension was documented in 154 patients (83%). The mean T1 was 6.5±6.2 hours, and T2 was 32.0±29.1 hours.


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Table 1. Clinical Characteristics of 186 Patients

Forty-one patients (22%) fulfilled the criteria for hematoma enlargement, and the remaining 145 patients (78%) represented the nonenlargement group.

The results of univariate analyses are shown in Tables 2, 3 and 4. T1 and T2 were significantly shorter in patients with hematoma enlargement (P=.0003 for both) (Table 2Down). These patients had a significantly higher Estes score (P=.0013), lower GCS score (P=.0246), greater degree of paresis (P=.0007 for upper limb and P=.0009 for lower limb), and higher modified Rankin scale score (P=.0001) than those in the nonenlargement group (Table 3Down). Among laboratory parameters, levels of urea nitrogen (P=.0385), creatinine (P=.0202), and FPG (P=.0015) were significantly higher in the enlarged group than in the nonenlarged group (Table 3Down).


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Table 2. Clinical Characteristics and Laboratory Parameters in Patients With and Without Hematoma Enlargement Assessed by t Test


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Table 3. Clinical Characteristics and Laboratory Parameters in Patients With and Without Hematoma Enlargement Assessed by Wilcoxon Rank Sum Test

After dichotomization, all aforementioned variables were also significantly different between groups (Table 4Down). Additional factors with statistical significance by the {chi}2 test were as follows. A history of brain infarction was found in 7 patients (5 lacunar and 2 atherothrombotic) in the enlargement group and in 9 patients (6 lacunar and 3 atherothrombotic) in the other group. A history of brain infarction was significantly more frequent in patients with hematoma enlargement than in those with nonenlarged hematoma (P=.028). The incidence of liver disease was significantly higher in the enlargement group than in nonenlargement group (P=.025). Larger V1 (>=25 cm3) was significantly more frequent in the enlargement group than in the nonenlargement group (P=.047). Incidence of abnormal eye position or muscle tonus was significantly higher in the enlargement group (P=.025 and P=.021, respectively). Significantly larger numbers of patients with hematoma growth had higher FPG (>=141 mg/dL; P=.001), higher HbA1c (>=5.1%; P=.049), and more prolonged prothrombin time (<=78%; P=.007) and activated partial thromboplastin time (>=35 s; P=.011) (Table 4Down). Although differences in blood pressures at the time of the first and second CTs did not reach the statistically significant level by the t test (Table 2Up), a significantly larger number of patients with enlarged hematoma had higher (>=200 mm Hg) systolic blood pressure at the time of the first CT (SBP1) than those without enlargement (Table 4Down).


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Table 4. Clinical Characteristics and Laboratory Parameters in Patients With and Without Hematoma Enlargement Assessed by {chi}2 Test

For multivariate analyses (n=139), the following nine variables were chosen from those with the values of P<.05 after univariate testing to avoid effects of overlapping of clinical importance of variables: history of brain infarction, liver disease, high Estes score (>=4), delayed T1 (>6 hours), large V1 (>=25 cm3), high serum creatinine level (>=1.5 mg/dL), high FPG level, (>=141 mg/dL), high HbA1c level (>=5.1%), and high SBP1 (>=200 mm Hg). The Breslow-Day test revealed significant interactions as follows: T1 and V1; V1 and SBP1; serum creatinine and FPG; FPG and SBP1; and HbA1c and SBP1. After stratification five variables were obtained; T1>6 hours and V1<25 cm3; V1 >=25 cm3 and SBP1 >=200 mm Hg; serum creatinine >=1.5 mg/dL and FPG >=141 mg/dL; FPG >=141 mg/dL and SBP1 >=200 mm Hg; and HbA1c >=5.1% and SBP1 >=200 mm Hg. A total of 14 variables (9 from univariate analyses and 5 from the Breslow-Day test) were considered for logistic regression analyses. Table 5Down summarizes the results of multiple logistic regression with values of P<.15. Five independent factors concerning hematoma extension were yielded. History of brain infarction, liver disease, interaction of FPG >=141 mg/dL and SBP1 >=200 mm Hg, and interaction of HbA1c >=5.1% and SBP1 >=200 mm Hg significantly enhanced the risk of hematoma enlargement, and interaction of T1>6 hours and V1<25 cm3 significantly reduced the risk of hematoma enlargement. This model was highly significant with the likelihood test (P=.0001).


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Table 5. Predictors of Hematoma Enlargement: Results of Multiple Logistic Regression


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
*Discussion
down arrowReferences
 
Univariate analyses in the present study revealed a number of factors that were significantly different between the patients with and without hematoma enlargement: history of brain infarction or liver disease, T1 and T2, V1 >=25 cm,3 Estes score, GCS score, degree of paresis, modified Rankin scale, incidence of abnormal eye position or muscle tonus, incidence of high SBP1 >=200 mm Hg, urea nitrogen, creatinine, FPG, incidence of abnormal HbA1c, prothrombin time, and activated partial thromboplastin time. These factors can be summarized into five categories: (1) time intervals from stroke onset to CT scan; (2) clinical features reflecting a large hematoma; (3) underlying diseases aggravating atherosclerosis and arteriolosclerosis; (4) liver disease; and (5) high systolic blood pressure at the time of admission.

A shorter interval from onset to CT was demonstrated in the enlargement group. Active bleeding in ICH is generally believed to cease within a few hours of onset.17 Therefore, there is a greater chance of detecting enlarging hematoma with early CT scanning.3 4

The incidence of V1 >=25 cm3 was higher in the enlargement group, probably because more hematomas in this group were actively growing at the time of the first CT scan. Large hematomas resulted in severe neurological deficits such as profound consciousness disturbance (low GCS score), dense hemiparesis, abnormal eye position or muscle tonus, and poor outcome (high modified Rankin score). Broderick and coauthors13 have demonstrated that ICH volume was a powerful predictor of 30-day mortality and morbidity. Therefore, more severe neurological deficits were considered consequences of larger hematomas and thus were judged not to be independent predisposing factors for hematoma enlargement.

The enlargement group had higher incidence of history of brain infarction; left ventricular hypertrophy on ECG (higher Estes score); higher levels of urea nitrogen, creatinine, and FPG; and higher incidence of abnormal HbA1c, all related to hypertension or diabetes mellitus. The clinical categories of brain infarction in our study were atherothrombotic or lacunar. Atherothrombotic infarction occurs in patients with atherosclerosis,5 and lacunar infarcts most often result from the occlusion of small arteries by hypertensive arteriopathy.18 Left ventricular hypertrophy represents a systemic complication of hypertension.14 Although high levels of FPG might represent stress hyperglycemia19 caused by large hematomas or dense neurological deficits, HbA1c provides an estimate of control of diabetes mellitus or blood glucose level for the preceding 3-month period.20 High levels of urea nitrogen and creatinine as well as abnormal HbA1c suggest uncontrolled hypertension or diabetes mellitus. In addition to aggravating atherosclerosis and arteriolosclerosis, hyperglycemia may precipitate hemorrhage by the analogy with hemorrhagic infarction, which has been indicated to be frequent and massive in hyperglycemic humans21 22 and cats.23

The incidence of liver disease and abnormal prothrombin time or activated partial thromboplastin time was significantly higher in patients with hematoma enlargement. Liver dysfunction, together with increased consumption of alcohol or thrombocytopenia, sometimes explains progression of ICH.24 25 Our data also supported this observation, although there were no differences in alcohol consumption, transaminase levels, or platelet count between the two groups. Decreased levels of coagulant factors caused by liver diseases easily resulted in prolonged bleeding.

The incidence of SBP1 >=200 mm Hg differed significantly between the two groups. However, there were no other significant differences related to blood pressure.

Previous studies have suggested various factors favoring growth of ICH. Broderick and associates2 reported that a systolic blood pressure >=195 mm Hg was recorded during the first 6 hours in 5 of 6 patients who had shown neurological deterioration with a >40% increase in hematoma volume. Marked hypertension was observed in patients with active bleeding.26 27 Fujii and coauthors25 demonstrated that the incidence of enlargement significantly decreased with time and increased with severity of liver dysfunction. They also demonstrated that patients with irregularly shaped hematomas and those with coagulation abnormalities such as low platelet counts had a higher risk of hematoma growth. Fehr and Anderson28 pointed to alcohol abuse as a precipitating factor. All these studies represented case reports or univariate analyses. Recently Brott and associates4 performed a prospective study of 103 patients with ICH and found no significant predictor of hemorrhage growth. The present study is the first that identifies independent factors for ICH enlargement.

Multiple logistic regression analysis revealed that interaction of T1>6 hours and V1 <25 cm3 powerfully reduced the risk of hematoma enlargement. A patient examined >6 hours after ictus who has a hematoma volume <25 cm3 is unlikely to experience further hematoma growth. Short T1 (<=6 hours) or large V1(>=25 cm3) did not independently result in hematoma enlargement.

Most interestingly, multiple logistic regression demonstrated four independent predisposing factors for hematoma enlargement: history of brain infarction, liver disease, interaction of FPG >=141 mg/dL and SBP1 >=200 mm Hg, and interaction of HbA1c >=5.1% and SBP1 >=200 mm Hg. Patients with a history of brain infarction (atherothrombotic or lacunar) had high risk of hematoma growth. Prevention of brain infarction may serve to lower the risk of hematoma enlargement. Liver disease was an independent factor in growth of hematomas. Prevention and premorbid management of resulting coagulopathy should help to prevent hematoma enlargement. Poorly controlled diabetics with high systolic blood pressure (>=200 mm Hg) on admission also had high risk of hematoma enlargement. It remains controversial whether antihypertensive drugs should be used in the acute phase of ICH. High blood pressure may be an adaptation to increased intracranial pressure (Cushing's phenomenon). High blood pressure may increase intracranial pressure by increasing cerebral perfusion pressure and promoting brain edema.29 Blood pressure reduction of <=20% has been suggested on the basis of cerebral blood flow studies.30 Kase and Crowell29 have empirically adopted a policy of active blood pressure control in patients with blood pressure >=180/100 mm Hg. Unfortunately, precise guidelines for blood pressure control are not available. Our data may recommend that clinicians should lower systolic blood pressure to <200 mm Hg at admission for diabetics with ICH. Because the present study was retrospective, prospective randomized trials are needed to determine whether enlargement of ICH can be treated.


*    Selected Abbreviations and Acronyms
 
FPG = fasting plasma glucose
GCS = Glasgow Coma Scale
HbA1c = glycosylated hemoglobin A1c
ICH = intracerebral hemorrhage
SBP1 = systolic blood pressure at the time of the first CT


*    Acknowledgments
 
The authors thank H. Oe, MD, W. Kakuda, MD, and R. Ohtani, MD, for their evaluation of CT images. We are also indebted to H. Naritomi, MD, and H. Kinugawa, MD, for their helpful advice.

Received July 25, 1997; revision received September 5, 1997; accepted September 5, 1997.


*    References
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up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
*References
 
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K. Toyoda, Y. Okada, K. Minematsu, M. Kamouchi, S. Fujimoto, S. Ibayashi, and T. Inoue
Antiplatelet therapy contributes to acute deterioration of intracerebral hemorrhage
Neurology, October 11, 2005; 65(7): 1000 - 1004.
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E. M. Manno, J. L. D. Atkinson, J. R. Fulgham, and E. F. M. Wijdicks
Emerging Medical and Surgical Management Strategies in the Evaluation and Treatment of Intracerebral Hemorrhage
Mayo Clin. Proc., March 1, 2005; 80(3): 420 - 433.
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NINDS ICH Workshop Participants
Priorities for Clinical Research in Intracerebral Hemorrhage: Report From a National Institute of Neurological Disorders and Stroke Workshop
Stroke, March 1, 2005; 36(3): e23 - e41.
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R. Leira, A. Davalos, Y. Silva, A. Gil-Peralta, J. Tejada, M. Garcia, and J. Castillo
Early neurologic deterioration in intracerebral hemorrhage: Predictors and associated factors
Neurology, August 10, 2004; 63(3): 461 - 467.
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K. S. Butcher, T. Baird, L. MacGregor, P. Desmond, B. Tress, and S. Davis
Perihematomal Edema in Primary Intracerebral Hemorrhage Is Plasma Derived
Stroke, August 1, 2004; 35(8): 1879 - 1885.
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StrokeHome page
K. Ohwaki, E. Yano, H. Nagashima, M. Hirata, T. Nakagomi, and A. Tamura
Blood Pressure Management in Acute Intracerebral Hemorrhage: Relationship Between Elevated Blood Pressure and Hematoma Enlargement
Stroke, June 1, 2004; 35(6): 1364 - 1367.
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M. Willmot, J. Leonardi-Bee, and P. M.W. Bath
High Blood Pressure in Acute Stroke and Subsequent Outcome: A Systematic Review
Hypertension, January 1, 2004; 43(1): 18 - 24.
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K. Minematsu
Evacuation of Intracerebral Hematoma Is Likely to Be Beneficial
Stroke, June 1, 2003; 34(6): 1567 - 1568.
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StrokeHome page
S. A. Mayer
Ultra-Early Hemostatic Therapy for Intracerebral Hemorrhage
Stroke, January 1, 2003; 34(1): 224 - 229.
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A. I. Qureshi, S. Tuhrim, J. P. Broderick, H. H. Batjer, H. Hondo, and D. F. Hanley
Spontaneous Intracerebral Hemorrhage
N. Engl. J. Med., May 10, 2001; 344(19): 1450 - 1460.
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StrokeHome page
T. G. Phan, M. Koh, R. A. Vierkant, and E. F.M. Wijdicks
Hydrocephalus Is a Determinant of Early Mortality in Putaminal Hemorrhage
Stroke, September 1, 2000; 31(9): 2157 - 2162.
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StrokeHome page
K. J. Becker, A. B. Baxter, H. M. Bybee, D. L. Tirschwell, T. Abouelsaad, and W. A. Cohen
Extravasation of Radiographic Contrast Is an Independent Predictor of Death in Primary Intracerebral Hemorrhage
Stroke, October 1, 1999; 30(10): 2025 - 2032.
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