Skip to main content
Top
Published in: Neurocritical Care 1/2017

01-08-2017 | Original Article

Factors Associated with the Need for Intensive Care Unit Admission Following Supratentorial Intracerebral Hemorrhage: The Triage ICH Model

Authors: James P. Klaas, Sherri Braksick, Jay Mandrekar, Petra Sedova, M. Fernanda Bellolio, Alejandro A. Rabinstein, Robert D. Brown Jr.

Published in: Neurocritical Care | Issue 1/2017

Login to get access

Abstract

Background

Providing the correct level of care for patients with intracerebral hemorrhage (ICH) is crucial, but the level of care needed at initial presentation may not be clear. This study evaluated factors associated with admission to intensive care unit (ICU) level of care.

Methods

This is an observational study of all adult patients admitted to our institution with non-traumatic supratentorial ICH presenting within 72 h of symptom onset between 2009–2012 (derivation cohort) and 2005–2008 (validation cohort). Factors associated with neuroscience ICU admission were identified via logistic regression analysis, from which a triage model was derived, refined, and retrospectively validated.

Results

For the derivation cohort, 229 patients were included, of whom 70 patients (31 %) required ICU care. Predictors of neuroscience ICU admission were: younger age [odds ratio (OR) 0.94, 95 % CI 0.91–0.97; p = 0.0004], lower Full Outline of UnResponsiveness (FOUR) score (0.39, 0.28–0.54; p < 0.0001) or Glasgow Coma Scale (GCS) score (0.55, 0.45–0.67; p < 0.0001), and larger ICH volume (1.04, 1.03–1.06; p < 0.0001). The model was further refined with clinician input and the addition of intraventricular hemorrhage (IVH). GCS was chosen for the model rather than the FOUR score as it is more widely used. The proposed triage ICH model utilizes three variables: ICH volume ≥30 cc, GCS score <13, and IVH. The triage ICH model predicted the need for ICU admission with a sensitivity of 94.3 % in the derivation cohort [area under the curve (AUC) = 0.88; p < 0.001] and 97.8 % (AUC = 0.88) in the validation cohort.

Conclusions

Presented are the derivation, refinement, and validation of the triage ICH model. This model requires prospective validation, but may be a useful tool to aid clinicians in determining the appropriate level of care at the time of initial presentation for a patient with a supratentorial ICH.
Appendix
Available only for authorised users
Literature
1.
go back to reference Feigin VL, Lawes CM, Bennett DA, Barker-Collo SL, Parag V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol. 2009;8:355–69.CrossRefPubMed Feigin VL, Lawes CM, Bennett DA, Barker-Collo SL, Parag V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol. 2009;8:355–69.CrossRefPubMed
2.
go back to reference Sudlow CL, Warlow CP. Comparable studies of the incidence of stroke and its pathological types: results from an international collaboration. International stroke incidence collaboration. Stroke. 1997;28:491–9.CrossRefPubMed Sudlow CL, Warlow CP. Comparable studies of the incidence of stroke and its pathological types: results from an international collaboration. International stroke incidence collaboration. Stroke. 1997;28:491–9.CrossRefPubMed
3.
go back to reference Bejot Y, Cordonnier C, Durier J, Aboa-Eboule C, Rouaud O, Giroud M. Intracerebral haemorrhage profiles are changing: results from the Dijon population-based study. Brain. 2013;136:658–64.CrossRefPubMed Bejot Y, Cordonnier C, Durier J, Aboa-Eboule C, Rouaud O, Giroud M. Intracerebral haemorrhage profiles are changing: results from the Dijon population-based study. Brain. 2013;136:658–64.CrossRefPubMed
4.
go back to reference 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. 2010;9:167–76.CrossRefPubMed 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. 2010;9:167–76.CrossRefPubMed
5.
go back to reference Stepanova M, Venkatesan C, Altaweel L, Mishra A, Younossi ZM. Recent trends in inpatient mortality and resource utilization for patients with stroke in the united states: 2005–2009. J Stroke Cerebrovasc Dis. 2013;22:491–9.CrossRefPubMed Stepanova M, Venkatesan C, Altaweel L, Mishra A, Younossi ZM. Recent trends in inpatient mortality and resource utilization for patients with stroke in the united states: 2005–2009. J Stroke Cerebrovasc Dis. 2013;22:491–9.CrossRefPubMed
6.
go back to reference Hemphill JC 3rd, Greenberg SM, Anderson CS, Becker K, Bendok BR, Cushman M, et al. Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke. 2015;46:2032–60.CrossRefPubMed Hemphill JC 3rd, Greenberg SM, Anderson CS, Becker K, Bendok BR, Cushman M, et al. Guidelines for the management of spontaneous intracerebral hemorrhage: a guideline for healthcare professionals from the American heart association/American stroke association. Stroke. 2015;46:2032–60.CrossRefPubMed
7.
go back to reference Diringer MN, Edwards DF. Admission to a neurologic/neurosurgical intensive care unit is associated with reduced mortality rate after intracerebral hemorrhage. Crit Care Med. 2001;29:635–40.CrossRefPubMed Diringer MN, Edwards DF. Admission to a neurologic/neurosurgical intensive care unit is associated with reduced mortality rate after intracerebral hemorrhage. Crit Care Med. 2001;29:635–40.CrossRefPubMed
8.
go back to reference Finfer S, Vincent JL. Critical care—an all-encompassing specialty. N Engl J Med. 2013;369:669–70.CrossRefPubMed Finfer S, Vincent JL. Critical care—an all-encompassing specialty. N Engl J Med. 2013;369:669–70.CrossRefPubMed
9.
go back to reference Ariesen MJ, Algra A, van der Worp HB, Rinkel GJ. Applicability and relevance of models that predict short term outcome after intracerebral haemorrhage. J Neurol Neurosurg Psychiatry. 2005;76:839–44.CrossRefPubMedPubMedCentral Ariesen MJ, Algra A, van der Worp HB, Rinkel GJ. Applicability and relevance of models that predict short term outcome after intracerebral haemorrhage. J Neurol Neurosurg Psychiatry. 2005;76:839–44.CrossRefPubMedPubMedCentral
10.
go back to reference Hemphill JC 3rd, Bonovich DC, Besmertis L, Manley GT, Johnston SC. The ICH score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke. 2001;32:891–7.CrossRefPubMed Hemphill JC 3rd, Bonovich DC, Besmertis L, Manley GT, Johnston SC. The ICH score: a simple, reliable grading scale for intracerebral hemorrhage. Stroke. 2001;32:891–7.CrossRefPubMed
11.
go back to reference Rost NS, Smith EE, Chang Y, Snider RW, Chanderraj R, Schwab K, et al. Prediction of functional outcome in patients with primary intracerebral hemorrhage: the func score. Stroke. 2008;39:2304–9.CrossRefPubMed Rost NS, Smith EE, Chang Y, Snider RW, Chanderraj R, Schwab K, et al. Prediction of functional outcome in patients with primary intracerebral hemorrhage: the func score. Stroke. 2008;39:2304–9.CrossRefPubMed
12.
go back to reference Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974;2:81–4.CrossRefPubMed Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974;2:81–4.CrossRefPubMed
13.
go back to reference Wijdicks EF, Bamlet WR, Maramattom BV, Manno EM, McClelland RL. Validation of a new coma scale: the four score. Ann Neurol. 2005;58:585–93.CrossRefPubMed Wijdicks EF, Bamlet WR, Maramattom BV, Manno EM, McClelland RL. Validation of a new coma scale: the four score. Ann Neurol. 2005;58:585–93.CrossRefPubMed
14.
go back to reference Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, et al. The abcs of measuring intracerebral hemorrhage volumes. Stroke. 1996;27:1304–5.CrossRefPubMed Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, et al. The abcs of measuring intracerebral hemorrhage volumes. Stroke. 1996;27:1304–5.CrossRefPubMed
15.
go back to reference van Swieten JC, Hijdra A, Koudstaal PJ, van Gijn J. Grading white matter lesions on CT and MRI: a simple scale. J Neurol Neurosurg Psychiatry. 1990;53:1080–3.CrossRefPubMedPubMedCentral van Swieten JC, Hijdra A, Koudstaal PJ, van Gijn J. Grading white matter lesions on CT and MRI: a simple scale. J Neurol Neurosurg Psychiatry. 1990;53:1080–3.CrossRefPubMedPubMedCentral
16.
go back to reference Demchuk AM, Dowlatshahi D, Rodriguez-Luna D, Molina CA, Blas YS, Dzialowski I, et al. Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the ct-angiography spot sign (predict): a prospective observational study. Lancet Neurol. 2012;11:307–14.CrossRefPubMed Demchuk AM, Dowlatshahi D, Rodriguez-Luna D, Molina CA, Blas YS, Dzialowski I, et al. Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the ct-angiography spot sign (predict): a prospective observational study. Lancet Neurol. 2012;11:307–14.CrossRefPubMed
17.
go back to reference Hosmer DW, Lemeshow S, Sturdivant RX. Applied logistic regression. Wiley series in probability and statistics. 3rd ed. Hoboken, NJ: John Wiley & Sons, Inc.; 2013.CrossRef Hosmer DW, Lemeshow S, Sturdivant RX. Applied logistic regression. Wiley series in probability and statistics. 3rd ed. Hoboken, NJ: John Wiley & Sons, Inc.; 2013.CrossRef
18.
go back to reference Brouwers HB, Chang Y, Falcone GJ, Cai X, Ayres AM, Battey TW, et al. Predicting hematoma expansion after primary intracerebral hemorrhage. JAMA Neurol. 2014;71:158–64.CrossRefPubMedPubMedCentral Brouwers HB, Chang Y, Falcone GJ, Cai X, Ayres AM, Battey TW, et al. Predicting hematoma expansion after primary intracerebral hemorrhage. JAMA Neurol. 2014;71:158–64.CrossRefPubMedPubMedCentral
19.
go back to reference Flemming KD, Wijdicks EF, Li H. Can we predict poor outcome at presentation in patients with lobar hemorrhage? Cerebrovasc Dis. 2001;11:183–9.CrossRefPubMed Flemming KD, Wijdicks EF, Li H. Can we predict poor outcome at presentation in patients with lobar hemorrhage? Cerebrovasc Dis. 2001;11:183–9.CrossRefPubMed
20.
go back to reference Leira R, Davalos A, Silva Y, Gil-Peralta A, Tejada J, Garcia M, et al. Early neurologic deterioration in intracerebral hemorrhage: predictors and associated factors. Neurology. 2004;63:461–7.CrossRefPubMed Leira R, Davalos A, Silva Y, Gil-Peralta A, Tejada J, Garcia M, et al. Early neurologic deterioration in intracerebral hemorrhage: predictors and associated factors. Neurology. 2004;63:461–7.CrossRefPubMed
21.
go back to reference Sun W, Pan W, Kranz PG, Hailey CE, Williamson RA, Laskowitz DT, et al. Predictors of late neurological deterioration after spontaneous intracerebral hemorrhage. Neurocrit Care. 2013;19:299–305.CrossRefPubMedPubMedCentral Sun W, Pan W, Kranz PG, Hailey CE, Williamson RA, Laskowitz DT, et al. Predictors of late neurological deterioration after spontaneous intracerebral hemorrhage. Neurocrit Care. 2013;19:299–305.CrossRefPubMedPubMedCentral
22.
23.
go back to reference Wada R, Aviv RI, Fox AJ, Sahlas DJ, Gladstone DJ, Tomlinson G, et al. Ct angiography “spot sign” predicts hematoma expansion in acute intracerebral hemorrhage. Stroke. 2007;38:1257–62.CrossRefPubMed Wada R, Aviv RI, Fox AJ, Sahlas DJ, Gladstone DJ, Tomlinson G, et al. Ct angiography “spot sign” predicts hematoma expansion in acute intracerebral hemorrhage. Stroke. 2007;38:1257–62.CrossRefPubMed
24.
go back to reference Rodriguez-Luna D, Rubiera M, Ribo M, Coscojuela P, Pineiro S, Pagola J, et al. Ultraearly hematoma growth predicts poor outcome after acute intracerebral hemorrhage. Neurology. 2011;77:1599–604.CrossRefPubMed Rodriguez-Luna D, Rubiera M, Ribo M, Coscojuela P, Pineiro S, Pagola J, et al. Ultraearly hematoma growth predicts poor outcome after acute intracerebral hemorrhage. Neurology. 2011;77:1599–604.CrossRefPubMed
25.
go back to reference Fujii Y, Takeuchi S, Sasaki O, Minakawa T, Tanaka R. Multivariate analysis of predictors of hematoma enlargement in spontaneous intracerebral hemorrhage. Stroke. 1998;29:1160–6.CrossRefPubMed Fujii Y, Takeuchi S, Sasaki O, Minakawa T, Tanaka R. Multivariate analysis of predictors of hematoma enlargement in spontaneous intracerebral hemorrhage. Stroke. 1998;29:1160–6.CrossRefPubMed
26.
go back to reference Maas MB, Rosenberg NF, Kosteva AR, Bauer RM, Guth JC, Liotta EM, et al. Surveillance neuroimaging and neurologic examinations affect care for intracerebral hemorrhage. Neurology. 2013;81:107–12.CrossRefPubMedPubMedCentral Maas MB, Rosenberg NF, Kosteva AR, Bauer RM, Guth JC, Liotta EM, et al. Surveillance neuroimaging and neurologic examinations affect care for intracerebral hemorrhage. Neurology. 2013;81:107–12.CrossRefPubMedPubMedCentral
Metadata
Title
Factors Associated with the Need for Intensive Care Unit Admission Following Supratentorial Intracerebral Hemorrhage: The Triage ICH Model
Authors
James P. Klaas
Sherri Braksick
Jay Mandrekar
Petra Sedova
M. Fernanda Bellolio
Alejandro A. Rabinstein
Robert D. Brown Jr.
Publication date
01-08-2017
Publisher
Springer US
Published in
Neurocritical Care / Issue 1/2017
Print ISSN: 1541-6933
Electronic ISSN: 1556-0961
DOI
https://doi.org/10.1007/s12028-016-0346-7

Other articles of this Issue 1/2017

Neurocritical Care 1/2017 Go to the issue