Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
View/Download PDF

Translate this page into:

Original Article
11 (
1
); 72-77
doi:
10.1055/s-0039-1700597

Evaluation of Serum Ferritin as a Prognostic Marker in Acute Hemorrhagic Stroke

Department of General Medicine, Trichy SRM Medical College Hospital & Research Centre, (Affiliated to The Tamil Nadu Dr. M.G.R. Medical University), Irungalur, Trichy, Tamil Nadu, India
Department of Biochemistry, Trichy SRM Medical College Hospital & Research Centre, (Affiliated to The Tamil Nadu Dr. M.G.R. Medical University), Irungalur, Trichy, Tamil Nadu, India
Department of Community Medicine, Dhanalakshmi Srinivasan Medical College and Hospital (Affiliated to The Tamil Nadu Dr. M.G.R. Medical University), Siruvachur, Perambalur, Tamil Nadu, India
Address for correspondence Sivakumar Periyasamy, MD Department of General Medicine, Trichy SRM Medical College Hospital & Research Centre, (Affiliated to The Tamil Nadu Dr. M.G.R. Medical University) Irungalur, Trichy 621105, Tamil Nadu India moonishaatm89@gmail.com
Licence
This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Disclaimer:
This article was originally published by Thieme Medical and Scientific Publishers Private Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

Background Acute hemorrhagic stroke (AHS) resulting from intracerebral hemorrhage (ICH) is a rampant neurological disorder with devastating consequences, particularly in Indians. Recently, serum ferritin levels have been related to adverse cardiovascular and stroke outcomes. We aimed to evaluate the prognostic utility of serum ferritin in AHS.

Materials and Methods Admission serum ferritin levels were estimated in 50 AHS patients with primary supratentorial hemorrhage. Study subjects were categorized based on their prognostic scores in modified Rankin scale (mRS) assessment. Ferritin levels were compared across the study groups, correlated with mRS and other ICH severity indicators.

Results Serum ferritin and other ICH severity indices such as Glasgow coma scale (GCS) and ICH volume were significantly altered in the mRS groups by the end of 7th and 30th days of hospitalization. Elevated ferritin levels, ICH volume together with decreased GCS, characterized the groups with adverse prognosis. Serum ferritin moderately correlated with GCS (r = –0.643), ICH volume (r = 0.562), and had significantly higher correlations with long-term prognostic scores of 7th day mRS (r = 0.802) and 30th day mRS (r = 0.916).

Conclusion  Elevated admission serum ferritin levels indicate poor AHS short-term and long-term outcomes, thereby making serum ferritin a possible prognostic index for the same.

Keywords

serum ferritin
acute hemorrhagic stroke
prognosis
modified Rankin scale

Introduction

Stroke or cerebrovascular accident characterized by acute neurological deficit can be of ischemic or hemorrhagic origin. Besides being a global leading cause of death next only to ischemic heart disease, stroke is a predominant cause of adult disability.1 People of South Asia and the developing countries have greater stroke risks, thus accounting for the higher prevalence of approximately 44.29 to 559/100,000 and cumulative incidence of 105 to 152/100,000 persons per year across India.2 Among the subtypes, acute hemorrhagic stroke (AHS) is less common ( approximately 13% of all stroke cases) but more severe resulting in 40% of deaths due to stroke. Comparatively, AHS is more frequent in Indians accounting for nearly 20 to 32% of all stroke cases.3

Among the hemorrhagic stroke types, intracerebral hemorrhage (ICH) is more common than subarachnoid hemorrhage. Hypertension is the predominant cause of primary ICH. Besides clinical diagnosis, radio imaging, especially computed tomography (CT) of the brain, is indispensable for diagnosis as well as prognosis of ICH. Radiological signs, such as size, site, extent of ICH, surrounding edema, and hemorrhage extension, and clinical signs, such as loss of consciousness measured by Glasgow coma scale (GCS) and blood pressure (BP) indices, are some of the early prognosticators of ICH.4 The long-term stroke outcome and functional disability can be systematically ascertained by means of modified Rankin scale (mRS), which is an extensively validated stroke scoring system.5

Ferritin, a protein serving as body iron reservoir, stores excess iron, thereby preventing toxic effects of free radicals generated by unbound iron. Serum ferritin levels indicating body iron stores are routinely used for laboratory diagnosis of iron deficiency and overload conditions. In the recent past, several researchers studied the possible role of serum ferritin in predicting the iron-mediated free radical injury in the pathogenesis of cardiovascular diseases. Salonen et al and van der A et al concluded that elevated serum ferritin levels were associated with higher risks of acute myocardial infarction in Finnish men and higher risks of ischemic stroke in Dutch postmenopausal women, respectively.6 7 A study by Dávalos et al ascertained serum ferritin’s adverse prognostic role in ischemic stroke.8 A study in Spanish ICH patients revealed independent association of high admission serum ferritin levels to unfavorable outcomes.9 Hence, the present study aimed at evaluating the prognostic utility of serum ferritin in stroke due to ICH in Indian population.

Materials and Methods

This cross-sectional study conducted at a tertiary care teaching hospital was approved by the Institutional Ethics Committee. Fifty consecutive patients admitted for their first stroke episode, who were diagnosed clinically and radiologically as primary supratentorial hemorrhage, were included in the study. Cases of secondary ICH, ischemic stroke, anemia, severe alcohol consumption, chronic liver disease, chronic kidney disease, and hematological malignancies were excluded.

On admission, all subjects underwent a series of study evaluation such as detailed case history, clinical examination, CT scan of the brain, routine blood investigations (complete blood count, random blood sugar, and renal and liver function tests), and serum ferritin estimation; later during the hospital stay, they were followed up for prognostic assessment. Case history included stroke symptomatology such as headache, vomiting, loss of consciousness, seizures, focal neurological deficit (FND), and past history of hypertension, diabetes mellitus, and drug intake. Clinical examination comprised recording the vital signs, GCS on admission, systemic examination findings, signs of neurological deficit, and raised intracranial tension.

Soon after admission, all stroke patients were subjected to nonenhanced CT scan of the brain and the subjects with primary ICH located at supratentorial region were selected for this study. Important brain CT findings such as size, site, intraventricular extension of hematoma, and midline shift if any were noted. The hematoma volume was calculated from the index slice (slice of CT of the brain showing largest image of hematoma) by applying the much validated Ellipsoid formula as follows: ICH volume (in mL) = (A B C)/2, where A (in cm) = largest hematoma diameter, B (in cm) = hematoma diameter at 90 degrees to A, and C = approximate number of 10-mm slices with hematoma.10

For serum ferritin estimation, 2 mL of venous blood samples were collected from all subjects within 72 hours of symptom onset. Serum ferritin was estimated by a classic sandwich enzyme-linked immunosorbent assay method involving immunoenzymometric sequential assay type 4, using AccuBind serum ferritin kit manufactured by Monobind Inc., United States. Adult reference range for serum ferritin levels are 20 to 250 ng/mL in males and 10 to 120 ng/mL in females.11

Prognostic assessments conducted at 7th and 30th days of hospitalization involved recording of mRS scores for the subjects, ranging from 0 (perfect health) to 6 (death) depending on the severity of functional disability poststroke.5 12 Based on their mRS scores, the study subjects were categorized into three groups as follows: subjects with good prognosis (mRS = 0–2), bad prognosis (mRS = 3–5), and worst prognostic event of death (mRS = 6). Ferritin levels were compared across the study groups, and also correlated with ICH severity indices.

Statistics

The data were entered in Microsoft excel and analyzed using statistical software SPSS 20.0. Descriptive details were presented as frequencies, means, medians, interquartile range, and standard deviations. Inferential statistical methods such as one-way analysis of variance and Kruskal–Wallis tests were used to compare serum ferritin and other parameters among the study groups, while Spearman’s correlation was used to determine any significant associations of serum ferritin levels with ICH severity indices. A p-value of less than 0.05 was considered as significant.

Results

The study population comprised 39 (78%) males and 11 (22%) females, with the mean age of 55.82 ± 12.67 years. Frequencies of FND and other classical ICH symptoms were as expected (Table 1). Data on history for ICH risk factors revealed that 9 (18%) subjects had diabetes mellitus and almost 49 (98%) of them had systemic hypertension, which led to the elevated BP indices in most of the participants (Table 1). Examination of cardiovascular and respiratory systems was normal in all subjects.

Table 1
Clinical data of the study population (n = 50)

History of presenting complaints

Frequency (%)

Abbreviations: CT, computed tomography; ICH, intracerebral hemorrhage; SD, standard deviation.

 Focal neurological deficit

50 (100%)

 Headache

25 (50%)

 Vomiting

35 (70%)

 Loss of consciousness

10 (20%)

 Seizures

5 (10%)

Clinical examination of vital signs

Mean ± SD

 Pulse rate (per min)

71.6 ± 10.89

 Systolic blood pressure (mm Hg)

164 ± 14.99

 Diastolic blood pressure (mm Hg)

95.92 ± 9.03

 Pulse pressure (mm Hg)

68.72 ± 13.9

 Mean arterial pressure (mm Hg)

118.83 ± 9.23

CT of the brain—ICH location

Frequency (%)

 Gangliocapsular

35 (70%)

 Thalamic

7 (14%)

 Lobar

8 (16%)

Neurological examination results exposed a median GCS of 8 (6, 10), with hemiparesis and normal fundus in all the participants. Left-sided hemiparesis was present in 24 (48%) of them, while 26 (52%) had right-sided hemiparesis. CT of the brain reports disclosed that the commonest site for ICH was the gangliocapsular region, with a median ICH volume of 57 (36, 84.5) mL, and only 1 (2%) patient had midline shift, while 12 (24%) of them had intraventricular hematoma extension (Table 1). The median serum ferritin level was 269.5 (186.75, 367.5) ng/mL in the entire study group.

At the end of first week of hospitalization, the subjects (n = 50) were distributed into three mRS groups as follows: 8 (16%), 33 (66%), and 9 (18%) subjects came under the good prognosis, bad prognosis, and death groups, respectively (Fig. 1). Among the study groups, higher levels of BP indices such as systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP) were present in the adverse prognostic groups, but the increases were not significant. However, subjects with significantly higher mean age had bad prognosis or died within a week of hospitalization compared with their counterparts with good prognostic mRS scores (p < 0.0 5) (Table 2). Also, there were significant decline of GCS scores, increase in ICH volume, and elevation of serum ferritin levels in the adverse prognostic groups than those with good prognosis (p < 0.05) (Table 2).

Table 2
Comparison of parameters across study groups on 7th day of hospitalization

Parameter

Good prognosis (7th day mRS = 0–2) (n = 8)

Bad prognosis (7th day mRS = 3–5) (n = 33)

Death (7th day mRS = 6) (n = 9)

Table value

p-Value

Abbreviations: DBP, diastolic blood pressure; GCS, Glasgow coma scale; ICH, intracerebral hemorrhage; MAP, mean arterial pressure; mRS, modified Rankin scale; PP, pulse pressure; SBP, systolic blood pressure.

aOne-way analysis of variance.

bSignificant p-value < 0.05.

cKruskal–Wallis’ test.

Age (y)

44.88 ± 11.76

56.18 ± 12.23

64.22 ± 7.98

5.996

0.005a,b

SBP (mm Hg)

162.25 ± 16.61

163.52 ± 14.23

170.89 ± 16.43

0.976

0.384a

DBP (mm Hg)

95 ± 8.35

95.58 ± 10.02

98 ± 5.48

0.296

0.745a

PP (mm Hg)

67.25 ± 14.30

67.94 ± 13.69

72.89 ± 15.40

0.488

0.617a

MAP (mm Hg)

117.42 ± 9.64

118.22 ± 9.63

122.30 ± 7.57

0.785

0.462a

GCS (x/15)

12 (11.25, 12.75)

8 (7, 9.5)

5 (3.5, 7.5)

7.368

0.008b,c

ICH volume (mL)

24 (16.25, 32)

58 (41.5, 79)

86 (78, 93)

8.193

0.002b,c

Serum ferritin (ng/mL)

121 (79, 136)

270 (212, 370)

366 (306, 399)

8.571

0.002b,c

Fig. 1 Distribution of study groups on 7th and 30th days of hospitalization. Based on mRS scores, the subjects were categorized into three groups as follows: good prognosis (mRS = 0–2), bad prognosis (mRS = 3–5), and death (mRS = 6). mRS, modified Rankin scale.

Fig. 1 Distribution of study groups on 7th and 30th days of hospitalization. Based on mRS scores, the subjects were categorized into three groups as follows: good prognosis (mRS = 0–2), bad prognosis (mRS = 3–5), and death (mRS = 6). mRS, modified Rankin scale.

The survivors (n = 41) were followed up till 30th day of hospitalization for re-evaluation of prognostic mRS scores, so that 8 (19%), 27 (66%), and 6 (15%) of them, respectively, came under the good prognosis, bad prognosis, and death groups (Fig. 1). Only ICH severity indices such as GCS, ICH volume, and serum ferritin were significantly altered across the groups; adverse prognostic groups showed decreasing GCS with raising ICH volume and serum ferritin levels (p < 0.05) (Table 3).

Table 3
Comparison of parameters across study groups on 30th day of hospitalization

Parameter

Good prognosis (30th day mRS = 0–2) (n = 8)

Bad prognosis (30th day mRS = 3–5) (n = 27)

Death (30th day mRS = 6) (n = 6)

Table value

p-Value

Abbreviations: DBP, diastolic blood pressure; GCS, Glasgow coma scale; ICH, intracerebral hemorrhage; MAP, mean arterial pressure; mRS, modified Rankin scale; PP, pulse pressure; SBP, systolic blood pressure.

aOne-way analysis of variance.

bKruskal–Wallis’ test.

cSignificant p-value < 0.05.

Age (y)

44.88 ± 11.76

56.41 ± 11.89

55.17 ± 14.84

2.747

0.077a

SBP (mm Hg)

162.25 ± 16.61

160.96 ± 13.31

175 ± 13.49

2.495

0.096a

DBP (mm Hg)

95 ± 8.35

95.48 ± 10.13

96 ± 10.43

0.018

0.982a

PP (mm Hg)

67.25 ± 14.30

65.48 ± 13.68

79 ± 6.78

2.619

0.086a

MAP (mm Hg)

117.42 ± 9.64

117.31 ± 9.26

122.33 ± 11.09

0.696

0.505a

GCS (x/15)

12 (11.25, 12.75)

8 (7, 10)

5.5 (4.75, 7.25)

23.363

< 0.001c

ICH volume (mL)

24 (16.25, 32)

56 (40, 78)

66 (51, 87.5)

15.164

0.001b,c

Serum ferritin (ng/mL)

121 (79, 136)

260 (196, 296)

390 (346, 403)

23.561

< 0.001c

Spearman’s correlation analysis concluded moderate associations of serum ferritin with other ICH severity indices such as GCS (r = –0.643, p < 0.01) and ICH volume (r = 0.562, p < 0.01). Correlations of these parameters with long-term stroke prognosis (7th and 30th days mRS scores) inferred significantly higher correlations of serum ferritin with 7th day mRS (r = 0.802, p < 0.01) and 30th day mRS scores (r = 0.916, p < 0.01) (Table 4).

Table 4
Correlation of serum ferritin and other ICH severity parameters with mRS scores

Correlation coefficient

p-Valuea

Abbreviations: GCS, Glasgow coma scale; ICH, intracerebral hemorrhage; mRS, modified Rankin scale.

aSpearman’s correlation.

 

Parameters correlated with 7th day mRS

 GCS (x/15)

–0.740

< 0.01

 ICH volume (mL)

0.681

< 0.01

 Serum ferritin (ng/mL)

0.802

< 0.01

Parameters correlated with 30th day mRS

 GCS (x/15)

–0.739

< 0.01

 ICH volume (mL)

0.582

< 0.01

 Serum ferritin (ng/mL)

0.916

< 0.01

Discussion

The demographic results of our study depicted a strikingly higher incidence of primary ICH in males (78%) with a massive sex gap, and moreover, the mean age is also very much lowered (55.82 years). These results are akin to the global burden of disease study findings of early stroke onset in South Asians particularly men, due to their prevalent stroke risk factors.13 14 Case history data displayed the classical ICH manifestations such as FND and signs of raised intracranial pressure such as headache and vomiting.

Pertaining to ICH risk factors, as in most other studies, systemic hypertension emerged as the most predominant risk factor in our study subjects, thus leading to their elevated levels of BP indices (SBP, DBP, PP, and MAP).15 Neurological examination showed reduced GCS score (median GCS = 8) with unilateral hemiparesis. CT of the brain reports revealed higher ICH volume (median volume = 57 mL) with most hematomas (84%) confined to the gangliothalamic region. These clinical and radiological findings are comparable with previous study results.16 17

By 7th day of hospitalization, majority (n = 42 [84%]) of subjects fell into either of the adverse prognostic groups having mRS scores > 2 and increasing levels of BP indices (SBP, DBP, PP, and MAP) that were not significantly different from the good prognostic group. This is in contrary to studies showing associations of higher BP indices with poor ICH outcomes, thereby recommending early stringent BP control for better patient outcomes.18 But our results are comparable to those of Qureshi et al showing no significant associations between BP alterations and ICH outcomes.19

As mRS reassessment was performed on 30th day of hospitalization, again most survivors (n = 33 [81%]) with mRS scores > 2 came into the two adverse prognosis groups. Although mean age was significantly higher in the adverse mRS groups at 7th day of hospitalization, there was no such marked age variations between the mRS groups at 30th day of hospitalization. So, we presume that advancing age could predict only the short-term detrimental outcomes of ICH and has no value in long-term AHS prognosis. The probable reason for this could be the early AHS onset in our study subjects due to their ethnic predisposition, and these findings were identical to those of Hegde and Menon.13 20

When rest of the parameters were compared across the mRS groups at 7th and 30th days of hospitalization, significant alterations were deductible only with respect to ICH prognosticators such as GCS scores, ICH volume, and serum ferritin levels. Likewise, studies by Safatli et al and Broderick et al inferred that decreased admission GCS scores together with raised ICH volume are strong predictors of 30-day ICH outcome.17 21 Thus, admission GCS scores and ICH volume are good performers among the existing ICH prognosticators.

Serum ferritin levels remained significantly elevated in the study groups with poor prognosis at 7th and until 30th days of hospitalization. Thereupon, admission serum ferritin levels could become a long-term ICH prognostic index similar to GCS scores and ICH volume, as rightly claimed by Pérez de la Ossa et al.9 Among the three prognostic indices, admission serum ferritin levels exhibited significantly higher correlations with 7th day mRS scores (r = 0.802) and 30th day mRS scores (r = 0.916), thus outperforming both admission GCS scores and ICH volume to emerge as the best long-term ICH prognostic index.

Ferritin, being an acute phase protein, should be estimated within 72 hours of symptom onset to eliminate any possible elevations in an acute phase reaction. The same was endorsed by Armengou et al concluding that unlike other acute phase reactants, serum ferritin levels were not altered before 72 hours following stroke onset.22 So, any early alterations in its levels are not due to acute phase response but could be consequent to the pathologic progression of the hemorrhagic lesion.

The underlying mechanisms postulated for the adverse prognostic role of ferritin are local iron overload at hematoma site and the resultant iron-mediated neurotoxicity. Iron-mediated free radical generation and oxidative damage lead to neuronal injury and perihematomal edema formation in cases of cerebral hemorrhage.23 24 Serum ferritin can quantify the body iron stores more reliably than other iron indices such as serum iron, transferrin, total iron-binding capacity as the latter ones carried greater biological variabilities than ferritin.25

Xie et al established serum ferritin to be an independent predictor of long-term functional outcome in neurocritically ill patients amidst all other iron indices.26 There are also evidences validating that decreasing body iron by injecting iron chelators such as deferoxamine could alleviate the neuropathological changes of ICH in experimental animal models.27 28 As elevated admission serum ferritin is associated with adverse ICH outcomes in the present study, the advantages of hypoferremia and iron lowering therapeutic targets in ICH patients could be the domains of future research.

Conclusion

Elevated admission serum ferritin levels indicate poor AHS outcomes on short-term and long-term. Hence serum ferritin is a possible prognostic index for AHS due to primary supratentorial hemorrhage.

Conflict of Interest

None declared.

Funding None.

References

  1. , , , et al . Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380 (9859):2095-2128.
    [Google Scholar]
  2. , , , , , . Incidence & prevalence of stroke in India: a systematic review. Indian J Med Res. 2017;146(2):175-185.
    [Google Scholar]
  3. , , . Fifty years of stroke researches in India. Ann Indian Acad Neurol. 2016;19(1):1-8.
    [Google Scholar]
  4. , , , . Prognostic parameters in spontaneous intracerebral hematomas with special reference to anticoagulant treatment. Stroke. 1991;22(5):571-576.
    [Google Scholar]
  5. , , , , , . Interobserver agreement for the assessment of handicap in stroke patients. Stroke. 1988;19(5):604-607.
    [Google Scholar]
  6. , , , , , , . High stored iron levels are associated with excess risk of myocardial infarction in eastern Finnish men. Circulation. 1992;86(3):803-811.
    [Google Scholar]
  7. , , , , , , . Serum ferritin is a risk factor for stroke in postmenopausal women. Stroke. 2005;36(8):1637-1641.
    [Google Scholar]
  8. , , , et al . Iron-related damage in acute ischemic stroke. Stroke. 1994;25(8):1543-1546.
    [Google Scholar]
  9. , , , et al . Iron-related brain damage in patients with intracerebral hemorrhage. Stroke. 2010;41(4):810-813.
    [Google Scholar]
  10. , , , et al . The ABCs of measuring intracerebral hemorrhage volumes. Stroke. 1996;27(8):1304-1305.
    [Google Scholar]
  11. , . Tietz Clinical Guide to Laboratory Tests. (4th ed.). Missouri: Saunders; . p. :392.
    [Google Scholar]
  12. , , . Outcomes validity and reliability of the modified Rankin scale: implications for stroke clinical trials: a literature review and synthesis. Stroke. 2007;38(3):1091-1096.
    [Google Scholar]
  13. , , , , . Stroke in Asia: geographical variations and temporal trends. J Neurol Neurosurg Psychiatry. 2014;85(12):1308-1312.
    [Google Scholar]
  14. , , , et al , , . Sex differences in stroke incidence, prevalence, mortality and disability-adjusted life years: results from the Global Burden of Disease Study 2013. Neuroepidemiology. 2015;45(3):203-214.
    [Google Scholar]
  15. , , , , , , . Risk factors for intracerebral hemorrhage in a pooled prospective study. Stroke. 2007;38(10):2718-2725.
    [Google Scholar]
  16. , , , , . Comparison of neurological clinical manifestation in patients with hemorrhagic and ischemic stroke. World J Emerg Med. 2017;8(1):34-38.
    [Google Scholar]
  17. , , , , , , . Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage. Surg Neurol Int. 2016;7(18):S510-S517.
    [Google Scholar]
  18. , , , et al , . Rapid blood-pressure lowering in patients with acute intracerebral hemorrhage. N Engl J Med. 2013;368(25):2355-2365.
    [Google Scholar]
  19. , , , et al , . Effect of systolic blood pressure reduction on hematoma expansion, perihematomal edema, and 3-month outcome among patients with intracerebral hemorrhage: results from the antihypertensive treatment of acute cerebral hemorrhage study. Arch Neurol. 2010;67(5):570-576.
    [Google Scholar]
  20. , , . Modifying the intracerebral hemorrhage score to suit the needs of the developing world. Ann Indian Acad Neurol. 2018;21(4):270-274.
    [Google Scholar]
  21. , , , , , . Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality. Stroke. 1993;24(7):987-993.
    [Google Scholar]
  22. , , , , . Serum ferritin concentrations are not modified in the acute phase of ischemic stroke. Stroke. 1998;29(1):258-260.
    [Google Scholar]
  23. , , , . The relationship between hematoma iron content and perihematoma edema: an MRI study. Cerebrovasc Dis. 2009;27(3):266-271.
    [Google Scholar]
  24. , , , , , . Association between serum ferritin level and perihematoma edema volume in patients with spontaneous intracerebral hemorrhage. Stroke. 2008;39(4):1165-1170.
    [Google Scholar]
  25. , , . Laboratory methodologies for indicators of iron status: strengths, limitations, and analytical challenges. Am J Clin Nutr. 2017;106(06):1606S-1614S.
    [Google Scholar]
  26. , , , , , . Predictive value of iron parameters in neurocritically ill patients. Brain Behav. 2018;8(12):e01163.
    [Google Scholar]
  27. , , , , , , . Deferoxamine treatment for intracerebral hemorrhage in aged rats: therapeutic time window and optimal duration. Stroke. 2010;41(2):375-382.
    [Google Scholar]
  28. , , , , , . Deferoxamine reduces intracerebral hematoma-induced iron accumulation and neuronal death in piglets. Stroke. 2009;40(6):2241-2243.
    [Google Scholar]
Show Sections