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

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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.

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References

  1. 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.

    Article  PubMed  Google Scholar 

  2. 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.

    Article  CAS  PubMed  Google Scholar 

  3. 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.

    Article  PubMed  Google Scholar 

  4. 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.

    Article  PubMed  Google Scholar 

  5. 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.

    Article  PubMed  Google Scholar 

  6. 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.

    Article  PubMed  Google Scholar 

  7. 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.

    Article  CAS  PubMed  Google Scholar 

  8. Finfer S, Vincent JL. Critical care—an all-encompassing specialty. N Engl J Med. 2013;369:669–70.

    Article  CAS  PubMed  Google Scholar 

  9. 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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. 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.

    Article  PubMed  Google Scholar 

  11. 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.

    Article  PubMed  Google Scholar 

  12. Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet. 1974;2:81–4.

    Article  CAS  PubMed  Google Scholar 

  13. 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.

    Article  PubMed  Google Scholar 

  14. 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.

    Article  CAS  PubMed  Google Scholar 

  15. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 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.

    Article  PubMed  Google Scholar 

  17. Hosmer DW, Lemeshow S, Sturdivant RX. Applied logistic regression. Wiley series in probability and statistics. 3rd ed. Hoboken, NJ: John Wiley & Sons, Inc.; 2013.

    Book  Google Scholar 

  18. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Flemming KD, Wijdicks EF, Li H. Can we predict poor outcome at presentation in patients with lobar hemorrhage? Cerebrovasc Dis. 2001;11:183–9.

    Article  CAS  PubMed  Google Scholar 

  20. 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.

    Article  CAS  PubMed  Google Scholar 

  21. 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.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Hemphill JC 3rd, Farrant M, Neill TA Jr. Prospective validation of the ICH score for 12-month functional outcome. Neurology. 2009;73:1088–94.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 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.

    Article  PubMed  Google Scholar 

  24. 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.

    Article  CAS  PubMed  Google Scholar 

  25. 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.

    Article  CAS  PubMed  Google Scholar 

  26. 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.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgments

Author PS was supported by Project No. LQ1605 from the National Program of Sustainability II (MEYS CR) and by the project FNUSA-ICRC No. CZ.1.05/1.1.00/02.0123 (OP VaVpI).

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Correspondence to James P. Klaas.

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Klaas, J.P., Braksick, S., Mandrekar, J. et al. Factors Associated with the Need for Intensive Care Unit Admission Following Supratentorial Intracerebral Hemorrhage: The Triage ICH Model. Neurocrit Care 27, 75–81 (2017). https://doi.org/10.1007/s12028-016-0346-7

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  • DOI: https://doi.org/10.1007/s12028-016-0346-7

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