Wayan N, Anne S, Tjokorda M. Combination Intracerebral Hemorrhage-Graeb Score Improves Prediction of Outcome in Spontaneous Intracerebral Hemorrhage. Biomed Pharmacol J 2019;12(1).
Manuscript received on :4-Oct-2018
Manuscript accepted on :06-Dec-2018
Published online on: 23-03-2019
Plagiarism Check: Yes
Reviewed by: Dr. B. Venkata Raman
Second Review by: Suprakash Chaudhury
How to Cite    |   Publication History
Views  Views: 
Visited 927 times, 1 visit(s) today
 
Downloads  PDF Downloads: 
863

Niryana Wayan1, Saputra Anneand Mahadewa Tjokorda1

1Department of Neurosurgery, Medical Faculty, Udayana University, Sanglah General Hospital, Bali, Indonesia.

2Department of Surgery, Medical Faculty, Udayana University, Sanglah General Hospital, Bali, Indonesia.

Corresponding Author E-mail: tjokmahadewa@unud.ac.id

DOI : https://dx.doi.org/10.13005/bpj/1661

Abstract

Intraventricular extension of intracerebral hemorrhage (IVH) is an poor independent outcome predictor in spontaneous intracerebral hemorrhage (ICH). IVH volume important in prediction of outcome and management; however, it is hard to measure routinely. Large IVH volume and increased number of affected ventricles have been associated with worse prognosis. Easy-to-use ICH scoring systems inform physicians of the severity and help to decide the course of management. ICH scoring system used to translate the severity into a score, allows quantification of severity, to predict outcome and clinical research. Graeb score can estimate the probability of survival in IVH volume. Purpose of this study is to combine original ICH score and Graeb score, to predict outcome in patients spontaneous ICH and determined the combination would improve the prediction.This prospective observational study of 88 patients who demonstrated spontaneous ICH with and without IVH on initial brain computed tomography (CT) were enrolled at Sanglah General Hospital Denpasar throughout 2017. Independent mortality or good outcome evaluation disability using modified Rankin Scale (mRS) at 30 days. Combination ICH-Graeb score was created by adding Graeb Score into original ICH. Mortality rate was 53.4%, and 34% has good outcome. Statistical result in terms of predictive power ICH score for in-hospital unfavourable outcome with cutoff point ³3 {Area Under Curve (AUC): 0.7546} risk ratio 1.8 (Confidence Interval/CI 95%: 1.29-2.67; p=0.0002). While predictive power Graeb score for in-hospital unfavourable outcome with cutoff point ³1 (AUC: 0.6365) risk ratio 1.7 (Confidence Interval/CI 95%: 1.11-2.61; p=0.0034). Combined ICH and Graeb score risk ratio 1.9 (Confidence Interval/CI 95%: 1.16-3.14; p=0.0012). The combination ICH-Graeb score better tools for prediction of unfavourable outcome. Combination of ICH and Graeb score improves the prediction of outcome in spontaneous ICH. Provides as accurate, simple, applicable and reliable screening tools.

Keywords

Intraventricular Hemorrhage; Outcome; Prognosis; Spontaneous Intracerebral Hemorrhage

Download this article as: 
Copy the following to cite this article:

Wayan N, Anne S, Tjokorda M. Combination Intracerebral Hemorrhage-Graeb Score Improves Prediction of Outcome in Spontaneous Intracerebral Hemorrhage. Biomed Pharmacol J 2019;12(1).

Copy the following to cite this URL:

Wayan N, Anne S, Tjokorda M. Combination Intracerebral Hemorrhage-Graeb Score Improves Prediction of Outcome in Spontaneous Intracerebral Hemorrhage. Biomed Pharmacol J 2019;12(1). Available from: https://bit.ly/2TsR45U

Introduction

Spontaneous intracerebral hemorrhage (ICH) constitutes 10 to 15% of all strokes and related high risk of mortality and morbidity in world wide.1 Intraventricular hemorrhage (IVH) secondary to spontaneous intracerebral hemorrhage (ICH) results 32% in death, and 43% of poor functional outcome in most survivors.2 There is well validated means of assessing ICH volume which is rapid and reliable.3 IVH volume assessment can be measure by reliable, simple, quick and clinical meaningful approximation. Graeb score is a semi quantitative score ranging which could be used for this purpose.3

Standardized supportive management for ICH debate continues over the development and widely accepted clinical grading scale, with outcome prediction model for ICH.4 Several prognostic models for unfavourable outcome after ICH have been proposed and validated;2 however, none of them have been used consistently in routine clinical practice or research.4 These models include neurological features, and neuroimaging findings. Several score models needs complex algebraic calculation. Lack of a simple, standard, and well accepted clinical grading scare as early prognostic model for ICH, presence and degree of IVH.4

Aim of this study was to combine of ICH and Graeb score, to see if combining both factors better to predict the outcome.

Material and Methods

Prospective observational study in Sanglah General Hospital, Denpasar, Indonesia. Subject were taken from an eligible patients who presented with nontraumatic spontaneous ICH and IVH who were admitted to emergency department on 2017, identified for a detailed review of CT findings. Both ICH and Graeb score were recorded at the first 60 minutes since the patients admitted.

ICH score variables were: Age, Glasgow Coma Scale (GCS), ICH volume (calculation with the ABC/2 method; A is the biggest diameter on the greatest slice of haemorrhage, B is diameter perpendicular to A, and C is the axial slices number haemorrhage multiplied by the slice thickness),5 IVH, and the origin of ICH.7 Graeb score is a semi quantitative ranging from 0-12 based on the third, fourth and left lateral ventricles expanded and blood filled. Maximum score of lateral ventricle is 4 and 2 for the third and fourth ventricles.6 Evaluate the outcome with modified Rankin (mRS) score 30 days after, unfavourable outcome was defined by score of³3.

We calculated the predictive power of each ICH score, Grab Score and combination of both to generate the highest Youden’s index. The unfavourable outcome at 30 days as dependent variable of ICH patients. Statistical analysis were carried out using SPSS (version 16.0), and p<0.05 (2 tailed) was considered statistically significant. Different cut off point of the ICH Scores, Graeb score and both combination were used to compare the best Youden’s index of diagnostic test.8

Results

Eighty eight patients were total sample size for this study with acute nontraumatic spontaneous ICH in 2017. The outcome patient at 30 days (n = 47) were dead, good outcome (n = 30), and alive with significant impairment (n = 11). Main characteristic cohort described in Table 1.

Table 1: Subject’s Characteristic.

Variables  n =88 (%)
Age, y 56.2±15.2
Sex
Male  41 (46.6)
Female  47 (52.4)
Hypertension 56 (63.6)
Diabetes mellitus 29 (32,9)
Ischemic heart disease 5 (5.7)
Atrial fibrillation 3 (3.4)
History of smoking 4 (4.5)
History of drinking 4 (4.5)
GCS score 8.6±3.6
Location ICH
   Superior tentorial 20 (22.7)
   Inferior tentorial 68 (77.3)
Site of ICH
   Ganglia basalis 45 (51.1)
   Thalamus 20 (22.7)
   Lobar 11 (12.5)
   Pontine 4 (4.5)
   Cerebellar 15 (17)
Presume cause
   Hypertension 56 (63.6)
   Vascular Malformation 6 (6.8)
   Other 2 (2.3)
ICH volume, ml 45.1±37.9
IVH
   Yes 59 (67.1)
   No 29 (32.9)
Graeb score 4.6±4.2
Surgical evacuation 66 (75)
Ventricular drainage 33 (37.5)
Modified Rankin scale
   Unfavourable (³3) 58 (65.9)
   Favourable (£2) 30 (34.1)

 

Cut-off values of the ICH score, Graeb score and combination of both were tested to identify the highest possible Youden’s index. Best result were obtained with any of the ICH scores of ³3 with area under receiver operating characteristic (ROC) curve 0.7546 risk ratio 1.8 (Confidence Interval/CI 95%: 1.29-2.67; p=0.0002), and Graeb score ³1 with area under ROC curve 0.6365 risk ratio 1.7 (Confidence Interval/CI 95%: 1.11-2.61; p=0.0034). The combination ICH-Graeb score has higher sensitivity and risk ratio 1.9 (Confidence Interval/CI 95%: 1.16-3.14; p=0.0012) for screening tools of unfavourable outcome (Figure 1).

Figure 1: ROC analysis of ICH score with mRS (left) and ROC analysis of Graeb score with mRS. Figure 1: ROC analysis of ICH score with mRS (left) and ROC analysis of Graeb score with mRS.

 

Click here to view figure

 

Table 2 shows that while combination of ICH and Graeb score is superior in risk ratio, sensitivity, and negative predictive value. ICH score is still superior in term of specificity and negative predictive value. Combination of ICH-Graeb score improves the prognostic of outcome and connect the correlation in between.

Table 2: Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value of ICH Score, Graeb score and Combination ICH-Graeb score for unfavourable mRS.

     RR Sensitivity Specificity NPP NPN Accuracy
    CI 95% (%) (%) (%) (%)
ICH score 1.8 69 73.3 83.3 55 70.4
Graeb score 1.7 77.6 53.3 76.3 55.2 69.3
Combination ICH-Graeb 1.9 82.8 50 76.2 60 71.6
   If Conservative 76.9 77.8 83.3 70
   If Surgical 84.4 38.1 74.5 53.3

 

The efficacy of surgical intervention of combination ICH-Graeb score improved sensitivity to predict outcome, maybe the management of hydrocephalus decreased the intracranial pressure (ICP).

Discussion

Scoring system tools provide information and important in determining the management of patients with acute neurological disorders. Useful clinical grading scales attempts to quantitatively assess the severity permit standardization of assessment, estimate the outcome and risk stratification for clinical treatment selection and also useful for research purpose.7

Various predictors have been demonstrated prognostic models for unfavourable outcome after ICH.9-12 The total score of the ICH is 6,  and the volume of ICH hematoma is ³30 mL.13 IVH remains a poorly understood, less information on the grading of IVH volume in ICH score. Hard to measured volume of IVH in routine clinical practice, unlike ICH where the volume is relatively well defined volume approximation with ABC/2 methods.5

Previous study demonstrated important factor contributing to unfavourable outcome is volume of IVH, it is more diffuse and involves multiple structures. The volume can be estimated closely using Graeb score with association between high Graeb and poor outcome.6,14 Another study showed that volume of IVH correlated independently with mortality of the Glasgow coma scale (GCS).16

Graeb score, a simple semiquantitative score that takes calculation which user assesses the scan, is a valid and reliable measure of IVH volume.  Using simple exponential algebra calculation to closely predict the IVH volume in mL, and correlates well.17 Our data studies shown that Graeb score has good Youden’s index diagnostic test.

Predicting ICH outcome is a problem for all healthcare professional working in this filed. The most frequently asked questions by patients and their families within mostly surround mortality, morbidity and prospect for short and long term recovery. Most healthcare professionals are unable to accurately predict the prognosis since recovery is quite variable. This results may be used to be evaluate the chance of recovery an guide an appropriate care plan.

Conclusion

The simple combination of grading system, ICH score can simply calculated which ICH and IVH volume can be closely estimated as simple to use, include minimal necessities of neurological testing in impaired consciousness, and specifically applicable to calculate with improves in accuracy and reliability.

Combination ICH-Graeb score may be used as screening in clinical research rather than using single score: by showing an increased in the unfavourable outcome with ICH score ³3 and Graeb score ³1.

Conflict of Interest

There were no financial supports or relationships between authors and any organization or professional bodies that could pose any conflict of interest.

References

  1. Lovelock C. E., Molyneux A. J., Rothwell P. M. Change in incidence and aetiology of intracerebral haemorrhage Oxfordshire, UK, between 1981 and 2006: a population-based study. Lancet Neurol 2007;6(6):487-493. DOI: 10.1016/S1474-4422(07)70107-2.
    CrossRef
  2. Tuhrim S., Horowitz D. R., Sacher M., et al. Volume of ventricular blood is an important determinant of outcome in supratentorial intracerebral haemorrhage. Crit Care Med. 1999;27(3):617-21.
    CrossRef
  3. Huttner H. B., Steiner T., Hartmann M., et al. Comparison of ABC/2 estimation technique to computer-assisted planimetric analysis in warfarin-related intracerebral parenchymal hemorrhage. Stroke. 2006;37(2):404-408. DOI: 10.1161/01. STR. 0000198806.67472.5c
    CrossRef
  4. Hwang B. Y., Appelboom G., Kellner C. P., et al. Clinical grading scales in intracerebral hemorrhage. Neurocrit Care. 2010;13:141–151. DOI: 1007/s12028-010-9382-x.
  5. Kothari R. U., Brott T., Broderick J. P., Barsan W. G., Sauerbeck L. R., Zuccarello M., Khoury J. The ABCs of measuring intracerebral hemorrhage volumes. Stroke. 1996;27(8):1304-1305.
    CrossRef
  6. Graeb D. A., Robertson W. D., Lapointe J. S., et al. Computed tomographic diagnosis of intraventricular hemorrhage. Etiology and prognosis. Radiology 1982;143(1):91–96. DOI: 10.1148/radiology.143.1.6977795.
    CrossRef
  7. Hemphill J. C., Bonovich D. C., Besmertis L., et al. The ICH Score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke. 2001;32(4):891-897.
    CrossRef
  8. Armitage P., Berry G., Matthews J. N. Statistical methods in epidemiology. In: Statistical Methods in Medical Research. 4th ed. Williston, VT: Blackwell Science. 2002;692–698.
    CrossRef
  9. Tuhrim S., Horowitz D. R., Sacher M., Godbold J. H. Validation and comparison of models predicting survival following intracerebral hemorrhage. Crit Care Med. 1995;23(5):950–954.
    CrossRef
  10. Broderick J. P., Brott T. G., Duldner J. E., et al. Volume of intracerebral hemorrhage: a powerful and easy-to-use predictor of 30-day mortality. Stroke. 1993;24:987-993.
    CrossRef
  11. Lisk D. R., Pasteur W., Rhoades H., et al. Early presentation of hemispheric intracerebral hemorrhage: prediction of outcome and guidelines for treatment allocation. Neurology. 1994;44(1):133–139.
    CrossRef
  12. Juvela S. Risk factors for impaired outcome after spontaneous intracerebral hemorrhage. ArchNeurol. 1995;52(12):1193–1200.
    CrossRef
  13. Fernandes H., Gregson B. A., Siddique M. S., et al. Testing the ICH Score. Stroke. 2002;33(6):1455-6.
    CrossRef
  14. Hijdra A., Brouwers P. J., Vermeulen M., et al. Grading the amount of blood on computed tomograms after subarachnoid hemorrhage. Stroke 1990;21(8):1156 –1161.
    CrossRef
  15. Young W. B., Lee K. P., Pessin M. S., et al. Prognostic significance of ventricular blood in supratentorial hemorrhage: A volumetric study. Neurology. 1990;40(4):616-619.
    CrossRef
  16. Hallevi H., Dar N. S., Barreto A. D., Morales M. M., Martin-Schild S., Abraham A.T., et al. The IVH score: a novel tool for estimating intraventricular hemorrhage volume: clinical and research implications. Crit Care Med. 2009;37(3):969-74. DOI: 1097/CCM. 0b013e318198683a.
  17. Mayer S. A., Thomas C. E., Diamond B. E. Asymmetry of intracranial hemodynamics as an indicator of mass effect in acute intracerebral hemorrhage. A transcranial Doppler study. Stroke 1996;27(10):1788-1792.
    CrossRef
  18. Mayfrank L., Kissler J., Raoofi R., et al. Ventricular dilatation in experimental intraventricular hemorrhage in pigs. Characterization of cerebrospinal fluid dynamics and the effects of fibrinolytic treatment. Stroke. 1997;28:141-148.
    CrossRef
  19. Wasserman J. K., Zhu X., Schlichter L. C. Evolution of the inflammatory response in the brain following intracerebral hemorrhage and effects of delayed minocycline treatment. Brain Res. 2007;1180:140-154. DOI: 10.1016/j.brainres. 2007.08.058.
    CrossRef
  20. Zhao X., Zhang Y., Strong R., et al. Distinct patterns of intracerebral haemorrhage induced alterations in NF-kappa B subunit, iNOS, and COX-2 expression. J Neurochem. 2007;101(3):652-663. DOI: 10.1111/j.1471-4159.2006.04414.x.
    CrossRef
  21. Naff N. J., Hanley D. F., Keyl P. M., et al. Intraventricular thrombolysis speeds blood clot resolution: results of a pilot, prospective, randomized, double-blind, controlled trial. Neurosurgery. 2004;54(3):577-83.
    CrossRef
  22. Steiner T., Diringer M. N., Schneider D., et al. Dynamics of intraventricular hemorrhage in patients with spontaneous intracerebral hemorrhage: Risk factors, clinical impact and effect of hemostatic therapy with recombinant activated factor VII. 2006;59(4):767–773. DOI: 10.1227/01. NEU. 0000232837.34992.32.
    CrossRef
Share Button
Visited 927 times, 1 visit(s) today

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.