Risk Factors of Rehemorrhage in Postoperative Patients with Spontaneous Intracerebral Hemorrhage : A Case-Control Study

Article information

J Korean Neurosurg Soc. 2018;61(1):35-41
Publication date (electronic) : 2017 December 29
doi : https://doi.org/10.3340/jkns.2017.0199
Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
Address for reprints : Chao You, M.D., Department of Neurosurgery, West China Hospital, Sichuan University, 37# Guoxue Xiang, Wu hou district, Chengdu 610041, China, Tel : +82-28-85422972, Fax : +86-28-85422490, E-mail : youchaowestchina@126.com
*Yanming Ren and Jun Zheng contributed equally to this work as co-first author.
Received 2017 June 26; Revised 2017 August 05; Accepted 2017 September 05.



Rehemorrhage is the most severe complication of postoperative patients with spontaneous intracerebral hemorrhage. The aim of the present study was to assess independent predictors of rehemorrhage and find the possibility of preventing rehemorrhage in postoperative patients with spontaneous intracerebral hemorrhage (sICH).


Medical records of 263 postoperative patients with sICH from our Hospital were reviewed. The relationships between rehemorrhage and parameters were examined by univariate and multivariate analyses. The parameters include time from onset to surgery, hematologic paremeters, neuroimaging characteristics, level and variability of systolic blood pressure, medical histories, operation duration, and blood loss. In addition, relationship between rehemorrhage and clinical outcome were analyzed by using multivariate analyses.


Thirty-five (13.31%) patients experienced rehemorrhage after operation. Multivariate analyses indicated that the following factors were independently associated with rehemorrhage : history of diabetes mellitus (odds ratio [OR], 2.717; 95% confidence interval [CI], 1.005–7.346; p=0.049), and midline shift (for every 1 mm increase, OR, 1.117; 95% CI, 1.029–1.214; p=0.009). Rehemorrhage was an independent risk factor of poor functional outcome (OR, 3.334; 95% CI, 1.094–10.155; p=0.034).


Our finding revealed that history of diabetes mellitus and admission midline shift were possibly associated with rehemorrhage in postoperative patients with sICH.


Spontaneous intracerebral hemorrhage (sICH) accounts for 10–15% of all kinds of stroke4,15). It is reported that the 30-days mortality of sICH is about 30–55% and only 12–39% of the survivors have favorable functional outcomes at 6 month16,24,30).

Treatment of sICH is still debatable among surgeons up to now. One heated topic of the controversy is whether evacuation of hematoma by surgery would be able to improve the prognosis of patients17,18,23). Even so, quite a number of patients had to receive surgery treatment to reduce the intracranial pressure (ICP) because of the relatively huge volume of hematoma. Rehemorrhage is the most severe complication of postoperative patients with sICH. It was reported that the incidence of rehemorrhage is about 11–36% after surgery in patients with sICH and only few patients could have a favorable outcome19,23). Most of previous studies focused on predictors of hematoma growth instead of rehemorrhage. These studies found that level of blood pressure (BP), variability of BP, low levels of fibrinogen, prothrombin complex and alcohol consumption might be associated with hematoma enlargement6,7,12,28). However, using these predictors to evaluate the risk of rehemorrhage in postoperative patients directly might not be appropriate because of hemodynamic change, decreased ICP and brain tissue injury. Some previous studies showed that the time interval between ictus and surgery, surgery methods, and BP might be associated with rehemorrhage in postoperative patients with sICH, but they did not examine the interrelationships among those predictors5,19). In order to assess independent predictors of rehemorrhage and to find the possibility of preventing rehemorrhage in postoperative patients with sICH, here we present this retrospective study.


This study was a retrospective case control study and got the approval from Biological and Medical Ethics Committee (BMEC) of West China Hospital. The patients’ consent was exempted by the BMEC for the present study was a retrospective clinical study.

Medical records of the patients with sICH between December 2011 and February 2013 from our center were reviewed. Adult patients with sICH who met the indications of surgery and received surgical treatment were eligible. Patients were excluded if : secondary intracerebral hemorrhage (intracranial tumor, arteriovenous malformation or aneurysm); dementia or disability existed before sICH happened; too much intraoperative bleeding caused hemoglobin less than 70 g/L and coagulation disorders or infusion of allogeneic blood whenever it happened; multiple intracerebral hemorrhages, with coagulation disorders or history of anticoagulant drug, with severe hepatic and renal dysfunction.

Indications of surgery were : 1) meet the diagnostic criteria of the American Heart Association (AHA)/American Stroke Association (ASA) intracerebral hemorrhage guidelines (2010)20); and 2) the computed tomography (CT) scan shows the volume of hematoma is above 30 mL in supratentorial region or above 10 mL in cerebellum or indications of intracranial hypertension.

Contraindications of surgery were : 1) with terminal brain hernia (bilateral pupils dilatation and central respiratory-cycle failure).

After hospitalization, all the patients were managed in the stroke unit and followed the recommendations of AHA/ASA guidelines20). Medical history and neurologic physical examination were recorded immediately. CT-scan and routine laboratory examinations including blood routine examinations, biochemical examinations and coagulation studies were performed at the same time. Midline shift applied to supratentorial hemorrhage, which is based on preoperative CT-scan. All the patients had their vital signs monitored. The supportive treatments were given simultaneously. After preoperative preparation finished, all the patients received hematoma evacuation by craniotomy, or minimally invasive surgery (MIS) including neuroendoscopy and stereotactic aspiration. For the uncertainty of efficacy of these approaches, the choice of them mostly depended on surgeon’s preference. The only criterion noted is that if ICP elevated rapidly, such as unilateral pupil dilated, stereotactic aspiration would be the first choice. All the surgeries were conducted by well-trained neurosurgeons (H.L. and C.Y.). The clinical experience of each of them was more than 15 years. Patients were sent to stroke unit or neurological intensive care unit and received standardized treatments after surgery. The postoperative treatments included airway management, BP management (systolic blood pressure [SBP]<180 mmHg), supportive treatments, and other individual treatments.

The volume of hematoma is calculated by the formula A×B×C/2, where A is the greatest diameter on the largest hemorrhage slice, B is the maximal diameter perpendicular to this, and C is the vertical hematoma depth11). Conventional CT-scan was performed at admission, 1 day, 3 days, and 7 days. Besides, unplanned CT scan was performed if necessary. Rehemorrhage was confirmed if postoperative hematoma volume was greater than the preoperative volume or postoperative hematoma volume was smaller than the preoperative volume, but the difference less than 5-mL19,23). In this study, rehemorrhage was also considered if postoperative hematoma volume gradually increased by 10 mL. All the patients were followed-up for at least 3 months. The clinical outcome was evaluated by using the modified Rankin Scales (mRS). The 3-months mRS was dichotomized as favorable outcome (mRS 0 to 2) and poor outcome (mRS 3 to 6).

In the present study, both level and variability of BP were analyzed. Levels of BP were measured on admission, during surgery by the arterial line, every 15 minutes during the first 24 hours after surgery, and every 60 minutes during the next few days. Mean postoperative BP was the mean of successive BP values measured every 3 hours after surgery and before rehemorrhage or 7 days after surgery (or hospital discharge if this occurs earlier). The variability of BP was evaluated by standard deviation (SD) ( 1/(n-1)(i=1)(n-1)(BPi-BPmean)2) and successive variation (successive variation [SV], 1/(n-1)(i=1)(n-1)(BPi+1-BPi)2)26,28). The SD and SV were also calculated by above-mentioned postoperative successive BP values.

All the data were analyzed by using SPSS version 21.0 (IBM Corp., Armonk, NY, USA) and EXCEL 2010 (Microsoft, Redmond, WA, USA). Statistically significance was assumed with a probability value of less than 0.05. The t-test was used to assess the differences in hematologic parameters, BP level, neuroimaging characteristics, operation duration and blood loss between the patient groups with and without hematoma growth. Continuous values were expressed as mean and SD. Discontinuous variable data, such as time interval, were expressed as median and interquartile range and analyzed by Wilcoxon rank sum test. A chi-square analysis was used to test the association between rehemorrhage and location of hematoma. Chi-square test was also used for analyzing the other categorical values. The factors with a probability of <0.1 were entered into a multivariate logistic regression analysis to determine adjusted ORs. The multivariate logistic regression analysis was also used for adjusting the baseline imbalance in the comparison of functional outcome between the patients with and without rehemorrhage.


From December 2011 and February 2013, 561 patients were screened and 281 patients meet the inclusion criteria of this study. Of the 281 patients, 18 patients lost to follow up until 3 months and were excluded. All of them were not rehemorrhage within 7 days after surgery. The mean ages of the patients were 54.6±12.9 years old. Of all the hematomas, 168 (63.88%) located at basal ganglia, while 66 (25.10%), 15 (5.70%), and 14 (5.32%) located at lobar, thalamus, cerebellum respectively. Of all the patients, 192 (73.00%) patients received hematoma evacuation by craniotomy, and the rest 71 (27.00%) patients received hematoma evacuation by MIS. 35 rehemorrhage cases were found 24 (24/192, 12.5%) in craniotomy group and 11 (11/71, 15.5%) in MIS group, and there was no statistic difference (p=0.526). The median time interval between sICH onset and surgery is 6 hours (4, 14).

In the present study, 35 patients (13.31%) experienced rehemorrhage in 7 days after surgery. The mean volume of rehemorrhage hematoma was 26.7±7.7 mL, and the mean time of rehemorrhage after surgery was 4.1±1.7 days. The characteristics of the group with rehemorrhage and group without rehemorrhage were compared in Table 1. Of all the parameters, only the history of diabetes mellitus and midline shift seem to be related to rehemorrhage significantly. Volume of hematoma and mean postoperative BP tended to be higher in the groups with rehemorrhage. There were no differences in other variables including time interval from ictus to surgery and laboratory examinations. At 3 months, 75 (28.52%) had a favorable functional outcome and the rest 188 (71.48%) patients had a poor functional outcome at 3-months post ictus. Of the 35 patients with rehemorrhage, only 4 had a favorable functional outcome. After adjust the age, admission Glasgow coma scale and volume of hematoma, the multivariate logistic regression revealed that the rehemorrhage was an independent predictor of poor functional outcome (OR, 3.334; 95% CI, 1.094–10.155; p=0.034).

Baseline characteristics

Mean postoperative SBP, history of diabetes mellitus, midline shift, and volume of hematoma were selected as possible risk factor for rehemorrhage. Multivariate logistic regressions showed that the history of diabetes mellitus and midline shift were associated with rehemorrhage independently (Table 2).

Multivariate analysis of predictors of rehemorrhage


In the present study, the associations between rehemorrhage and some important risk factors were examined in postoperative patients with sICH. The multivariate analyses revealed that history of diabetes mellitus and midline shift were independent predictors of rehemorrhage. In addition, after adjusted some risk factors, we found that the rehemorrhage was independent predictors of poor functional outcome.

Previous studies found that the coagulation dysfunction is associated with hematoma growth after ictus. Patients with low levels of platelets and fibrinogen appear to have a higher risk of hematoma enlargement7). Hypothetically, rehemorrhage after surgery might be related to coagulation disorders as well. In this study, we excluded patients with coagulation disorders before surgery because of the risk of intraoperative bleeding. This might be the reason why there was no significant difference in admission laboratory parameters between the two groups. It was confirmed that loss of blood during surgery might affect the coagulation function33). So we also excluded the patients who underwent too much intraoperative bleeding that caused hemoglobin less than 70 g/L and coagulation disorders or infusion of allogeneic blood whenever it happened.

The patients who suffered multiple intracerebral hemorrhages or with coagulation disorders or history of anticoagulant drug or with severe hepatic and renal dysfunction would place an ICP monitor and give conservative treatment, including mannitol, head elevation, dialysis, infuse the plasma to correct coagulation disorders and so on, to reduce the ICP and stabilize the condition. If the ICP remained above 25 mmHg for 1 to 12 hours or unilateral dilated pupils appeared, decompressive craniectomy would be preformed based on the consent of the patient’s family. These processes were quite complex, so we did not include these patients in this study.

BP management in patients with sICH is always a heated topic among neuroscientists. A lot of observational studies showed that the elevated BP, especially the SBP, might be related to the enlargement of hematoma or recurrent hemorrhage, which would lead to neurological deterioration and poor outcome directly22,25,31). Some further well-designed randomized controlled trials showed that intensive BP management, which means to lower the SBP below 140 mm rapidly, is safe and might be effective among patients with spontaneous intracarebral hemorrhage13,10). In addition to the level of BP, the variability of SBP is also an important risk factor of neurological deterioration and unfavorable outcome14,28). However, the present study did not find any association between BP and rehemorrhage in postoperative patients with sICH. Further studies on blood management for postoperative patients with sICH were still needed.

Previous studies confirmed that the diabetes mellitus is a risk factor of both ischemic and hemorrhagic stroke21). Further studies showed admission level of glucose was related to early death and poor outcomes in patients with sICH27,29). In addition, the diabetes mellitus is also associated with cerebral microbleeds and recurrent intracerebral hemorrhage8,32). Results of this study indicated that diabetes mellitus was a risk factor of rehemorrhage after surgery. To our best of knowledge, there was no prior study found an association between hematoma enlargement or rehemorrhage and diabetes. Atherosclerosis of small arterials and changing of microcirculation caused by chronic diabetes mellitus might be the reasons.

Results of the present study showed that the midline shift is another independent risk factor of rehemorrhage in postoperative patients with sICH. Midline shift is an important neuroimaging parameter, which could predict outcome independently in patients with sICH13). It was reported that midline shift was associated with ICP caused by hematoma and peri-hematoma edema9). Patients with higher ICP would have a more serious ischemia reperfusion injury which might be associated with rehemorrhage after hematoma evacuation.

In the present study, even though 2 independent predictors of rehemorrhage were revealed, we are unable to identify any method to prevent rehemorrhage after surgery. However, in consideration of the results, patients with diabetes mellitus or greater midline shift should be carefully observed after surgery because of higher risk of rehemorrhage. The BP should be kept low and stable in postoperative patients with sICH, although level and variability of SBPs after surgery were not independent factors associated with rehemorrhage. In addition, coagulation function should be monitored in posteroperative patients.

There are some limitations of this study. First, this study was a retrospective study and there might be a confounding bias potentially. The sample size of this study was not large enough to provide robust evidence for clinical practice. Second, Postoperative reexamine of coagulation functions and level of alcohol intake were not analyzed in this study because of incomplete data.


In conclusion, our study identified that diabetes mellitus and midline shift were possibly associated with rehemorrhage in postoperative patients with sICH. Finding of the present study might help doctors to identify the patients with higher risk of rehemorrhage.


The patient provided written informed consent for the publication and the use of their images.


The biggest acknowledgement goes to the patients who have taken participate in this study and also to everyone who makes a contribution to make this research possible.


1. Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH) investigators. Antihypertensive treatment of acute cerebral hemorrhage. Crit Care Med 38:637–648. 2010;
2. Anderson CS, Heeley E, Huang Y, Wang J, Stapf C, Delcourt C, et al. Rapid blood-pressure lowering in patients with acute intracerebral hemorrhage. N Engl J Med 368:2355–2365. 2013;
3. Anderson CS, Huang Y, Wang JG, Arima H, Neal B, Peng B, et al. Intensive blood pressure reduction in acute cerebral haemorrhage trial (INTERACT): a randomised pilot trial. Lancet Neurol 7:391–399. 2008;
4. Broderick JP, Brott T, Tomsick T, Miller R, Huster G. Intracerebral hemorrhage more than twice as common as subarachnoid hemorrhage. J Neurosurg 78:188–191. 1993;
5. Cho DY, Chen CC, Chang CS, Lee WY, Tso M. Endoscopic surgery for spontaneous basal ganglia hemorrhage: comparing endoscopic surgery, stereotactic aspiration, and craniotomy in noncomatose patients. Surg Neurol 65:547–555. discussion 555–556. 2006;
6. Fujii Y, Takeuchi S, Sasaki O, Minakawa T, Tanaka R. Multivariate analysis of predictors of hematoma enlargement in spontaneous intracerebral hemorrhage. Stroke 29:1160–1166. 1998;
7. Fujii Y, Tanaka R, Takeuchi S, Koike T, Minakawa T, Sasaki O. Hematoma enlargement in spontaneous intracerebral hemorrhage. J Neurosurg 80:51–57. 1994;
8. Huhtakangas J, Löppönen P, Tetri S, Juvela S, Saloheimo P, Bode MK, et al. Predictors for recurrent primary intracerebral hemorrhage: a retrospective population-based study. Stroke 44:585–590. 2013;
9. Kiphuth IC, Huttner HB, Breuer L, Schwab S, Kohrmann M. Sonographic monitoring of midline shift predicts outcome after intracerebral hemorrhage. Cerebrovasc Dis 34:297–304. 2012;
10. Koch S, Romano JG, Forteza AM, Otero CM, Rabinstein AA. Rapid blood pressure reduction in acute intracerebral hemorrhage: feasibility and safety. Neurocrit Care 8:316–321. 2008;
11. Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, et al. The ABCs of measuring intracerebral hemorrhage volumes. Stroke 27:1304–1305. 1996;
12. Kuwashiro T, Yasaka M, Itabashi R, Nakagaki H, Miyashita F, Naritomi H, et al. Effect of prothrombin complex concentrate on hematoma enlargement and clinical outcome in patients with anticoagulant-associated intracerebral hemorrhage. Cerebrovasc Dis 31:170–176. 2011;
13. Lee HK, Ghani AR, Awang MS, Sayuthi S, Idris B, Abdullah JM. Role of high augmentation index in spontaneous intracerebral haemorrhage. Asian J Surg 33:42–50. 2010;
14. Manning L, Hirakawa Y, Arima H, Wang X, Chalmers J, Wang J, et al. Blood pressure variability and outcome after acute intracerebral haemorrhage: a post-hoc analysis of INTERACT2, a randomised controlled trial. Lancet Neurol 13:364–373. 2014;
15. Massaro AR, Sacco RL, Mohr JP, Foulkes MA, Tatemichi TK, Price TR, et al. Clinical discriminators of lobar and deep hemorrhages: the Stroke Data Bank. Neurology 41:1881–1885. 1991;
16. Mayer SA, Rincon F. Treatment of intracerebral haemorrhage. Lancet Neurol 4:662–672. 2005;
17. Mendelow AD, Gregson BA, Fernandes HM, Murray GD, Teasdale GM, Hope DT, et al. 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. Lancet 365:387–397. 2005;
18. Mendelow AD, Gregson BA, Rowan EN, Murray GD, Gholkar A, Mitchell PM, et al. Early surgery versus initial conservative treatment in patients with spontaneous supratentorial lobar intracerebral haematomas (STICH II): a randomised trial. Lancet 382:397–408. 2013;
19. Morgenstern LB, Demchuk AM, Kim DH, Frankowski RF, Grotta JC. Rebleeding leads to poor outcome in ultra-early craniotomy for intracerebral hemorrhage. Neurology 56:1294–1299. 2001;
20. Morgenstern LB, Hemphill JC 3rd, Anderson C, Becker K, Broderick JP, Connolly ES Jr, et al. Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 41:2108–2129. 2010;
21. O’Donnell MJ, Xavier D, Liu L, Zhang H, Chin SL, Rao-Melacini P, et al. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet 376:112–123. 2010;
22. Ohwaki K, Yano E, Nagashima H, Hirata M, Nakagomi T, Tamura A. Blood pressure management in acute intracerebral hemorrhage: relationship between elevated blood pressure and hematoma enlargement. Stroke 35:1364–1367. 2004;
23. Pantazis G, Tsitsopoulos P, Mihas C, Katsiva V, Stavrianos V, Zymaris S. Early surgical treatment vs conservative management for spontaneous supratentorial intracerebral hematomas: a prospective randomized study. Surg Neurol 66:492–501. discussion 501–502. 2006;
24. Qureshi AI, Tuhrim S, Broderick JP, Batjer HH, Hondo H, Hanley DF. Spontaneous intracerebral hemorrhage. NeEngl J Med 344:1450–1460. 2001;
25. Rodriguez-Luna D, Piñeiro S, Rubiera M, Ribo M, Coscojuela P, Pagola J, et al. Impact of blood pressure changes and course on hematoma growth in acute intracerebral hemorrhage. Eur J Neurol 20:1277–1283. 2013;
26. Schachinger H, Langewitz W, Schmieder RE, Rüddel H. Comparison of parameters for assessing blood pressure and heart rate variability from non-invasive twenty-four-hour blood pressure monitoring. J Hypertens Suppl 7:S81–S84. 1989;
27. Sun W, Pan W, Kranz PG, Hailey CE, Williamson RA, Sun W, et al. Predictors of late neurological deterioration after spontaneous intracerebral hemorrhage. Neurocrit Care 19:299–305. 2013;
28. Tanaka E, Koga M, Kobayashi J, Kario K, Kamiyama K, Furui E, et al. Blood pressure variability on antihypertensive therapy in acute intracerebral hemorrhage: the stroke acute management with urgent risk-factor assessment and improvement-intracerebral hemorrhage study. Stroke 45:2275–2279. 2014;
29. Tapia-Pérez JH, Gehring S, Zilke R, Schneider T. Effect of increased glucose levels on short-term outcome in hypertensive spontaneous intracerebral hemorrhage. Clin Neurol Neurosurg 118:37–43. 2014;
30. van Asch CJ, Luitse MJ, Rinkel GJ, van der Tweel I, Algra A, Klijn CJ. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis. Lancet Neurol 9:167–176. 2010;
31. Willmot M, Leonardi-Bee J, Bath PM. High blood pressure in acute stroke and subsequent outcome: a systematic review. Hypertension 43:18–24. 2004;
32. Woerdeman J, van Duinkerken E, Wattjes MP, Barkhof F, Snoek FJ, Moll AC, et al. Proliferative retinopathy in type 1 diabetes is associated with cerebral microbleeds, which is part of generalized microangiopathy. Diabetes Care 37:1165–1168. 2014;
33. Zheng D, Pan H, Cui X, Meng F, Sun G, Wang B. Preliminary study on changes in coagulation function and component transfusion time in patients with massive hemorrhage. Transfus Apher Sci 44:15–19. 2011;

Article information Continued

Table 1

Baseline characteristics

Rehemorrhage p-value

Yes (n=35) No (n=228)
Male 27 (77.1) 153 (67.1) 0.320

Age 56.9±15.0 54.3±12.6 0.292

Admission GCS 10 (7, 13) 9 (6, 13) 0.763

Hypertension 21 (60.0) 121 (53.1) 0.559

Diabetes mellitus 7 (20.0) 17 (7.5) 0.008

Previous stroke 1 (2.9) 18 (7.9) 0.484

Alcohol abuse 13 (37.1) 72 (31.6) 0.645

Smoke 12 (34.3) 56 (24.6) 0.316

Time interval from ictus to surgery 5 (4.5, 9.5) 6 (4, 15) 0.329

Laboratory parameters
 HB (g/L) 140.8±14.8 140.1±16.2 0.799
 PLT (109/L) 153.8±52.7 164.1±61.4 0.349
 PT (s) 11.8±1.1 11.6±1.2 0.289
 INR 1.1±1.0 1.1±0.9 0.326
 APTT (s) 26.2±3.9 25.3±4.0 0.189
 FIB (g/L) 2.9±0.8 3.0±1.5 0.613

Blood pressure characteristics
 Admission SBP (mmHg) 179±17 176±22 0.325
 Admission DBP (mmHg) 109±15 104±19 0.138
 Mean postoperative SBP (mmHg) 153±12 138±15 0.061
 Mean postoperative DBP (mmHg) 95±13 93±11 0.330
 SD of postoperative SBP 12.54±6.08 11.68±5.25 0.379
 SV of postoperative SBP 14.12±6.98 14.04±6.63 0.957
 SD of postoperative DBP 9.67±5.33 8.96±5.17 0.452
 SV of postoperative DBP 11.27±5.96 10.69±6.34 0.612

Neuroimaging characteristics
 Volume of hematoma (mL) 45.4±23.3 40.1±14.2 0.067
 Depth of hematoma (cm) 1.3±0.9 1.1±0.8 0.119
 MS (mm) 8±6 6±4 0.004
 Location of hematoma 0.544
  Lobar 7 59
  Basal ganglia 26 142
  Thalamus 1 14
  Cerebella 1 13

Operation duration (hours) 2.8±0.5 2.7±0.4 0.185

Blood loss (mL) 82.4±44.5 75.6±27.3 0.215

Values are presented number of patients (%), median (interquartile range), or mean±standard deviation (SD). GCS : Glasgow coma scale, HB : hemoglobin, PLT : platelet, PT : prothrombin time, INR : international normalized ratio, APTT : activated partial thromboplastin time, FIB : fibrinogen, SBP : systolic blood pressure, DBP : diastolic blood pressure, SV : successive variation, MS : midline shift

Table 2

Multivariate analysis of predictors of rehemorrhage

p-value OR 95% CI of OR
History of DM 0.049 2.717 1.005–7.346
Mean postoperative SBP (for every 1 mmHg increase) 0.118 1.024 0.994–1.054
Volume of hematoma (for every 1 ml increase) 0.524 1.007 0.985–1.030
MS (for every 1 mm increase) 0.009 1.117 1.029–1.214

OR : odds ratio, CI : confidence interval, DM : diabetes mellitus, SBP : systolic blood pressure, MS : midline shift