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Early Determinants of Neurocritical Care Unit Length of Stay in Patients with Spontaneous Intracerebral Hemorrhage

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Abstract

Background

The present study considers patients with spontaneous intracerebral hemorrhage (ICH) admitted to the neurocritical care unit (NCCU) through the Emergency Department (ED). It aims to identify patient-specific clinical variables that can be assessed on presentation and that are associated with prolonged NCCU length of stay (LOS).

Methods

A cross-sectional, single-center, retrospective analysis of ICH patients directly admitted from the ED to the NCCU over an 8-year period was performed. Patients’ demographics, clinical exam characteristics, serum laboratory values, intubation status, and neurosurgical procedures at presentation were recorded. Head computed tomography scans obtained on presentation were reviewed. LOS was calculated based on the number of midnights spent in the NCCU. Prolonged LOS was determined using a change point analysis, adopting the method of Taylor which utilizes CUMSUM charts and bootstrap analysis. A decision tree model was trained and validated to identify reliable variables associated with prolonged LOS.

Results

Two hundred and five patients with ICH were analyzed. Prolonged LOS was calculated to be a stay that exceeds 8 days; 68 patients (33%) had a prolonged LOS in NCCU. Median LOS did not differ between survivors and patients who died in hospital. Clinical variables explored through the decision tree model were intubation status, neurosurgical intervention (EVD, decompression or evacuation within 24 h from presentation), and components of the ICH score: age, GCS, hematoma volume, the presence of intraventricular hemorrhage (IVH), and infratentorial location. The model accuracy was 0.8 and AUC was 0.83 (95% CI 0.78–0.89).

Conclusion

We propose an ICH-LOS model based on neurosurgical intervention, intubation status and GCS at presentation to predict prolonged LOS in the NCCU in patients with ICH. This simple clinical tool, if prospectively validated, could help with medical planning, contribute to patient care-directed conversations, assist in optimizing hospital resource utilization, and, more importantly, motivating patient-specific interventions aimed at optimizing outcomes and decreasing LOS.

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References

  1. McConnell KJ, Richards CF, Daya M, Bernell SL, Weathers CC, Lowe RA. Effect of increased ICU capacity on emergency department length of stay and ambulance diversion. Ann Emerg Med. 2005;45:471–8.

    Article  Google Scholar 

  2. Sun BC, Hsia RY, Weiss RE, Zingmond D, Liang LJ, Han W, et al. Effect of emergency department crowding on outcomes of admitted patients. Ann Emerg Med. 2013;61:605.e6–611.e6.

    Article  Google Scholar 

  3. Gruenberg DA, Shelton W, Rose SL, Rutter AE, Socaris S, McGee G. Factors influencing length of stay in the intensive care unit. Am J Crit Care. 2006;15:502–9.

    Article  Google Scholar 

  4. Toptas M, Samanci NS, Akkoc E, Yucetas E, Cebeci E, Sen O, et al. Factors affecting the length of stay in the intensive care unit: our clinical experience. Biomed Res Int. 2018;2018:9438046.

    PubMed  PubMed Central  Google Scholar 

  5. Verburg IWM, Holman R, Dongelmans D, de Jonge E, de Keizer NF. Is patient length of stay associated with intensive care unit characteristics? J Crit Care. 2018;43:114–21.

    Article  Google Scholar 

  6. Higgins TL, McGee WT, Steingrub JS, Rapoport J, Lemeshow S, Teres D. Early indicators of prolonged intensive care unit stay: impact of illness severity, physician staffing, and pre-intensive care unit length of stay. Crit Care Med. 2003;31:45–51.

    Article  Google Scholar 

  7. Russell MW, Joshi AV, Neumann PJ, Boulanger L, Menzin J. Predictors of hospital length of stay and cost in patients with intracerebral hemorrhage. Neurology. 2006;67:1279–81.

    Article  CAS  Google Scholar 

  8. Naidech AM, Bendok BR, Tamul P, Bassin SL, Watts CM, Batjer HH, et al. Medical complications drive length of stay after brain hemorrhage: a cohort study. Neurocrit Care. 2009;10:11–9.

    Article  Google Scholar 

  9. Ohwaki K, Yano E, Nagashima H, Nakagomi T, Tamura A. Impact of infection on length of intensive care unit stay after intracerebral hemorrhage. Neurocrit Care. 2008;8:271–5.

    Article  Google Scholar 

  10. Luo L, Xu X, Jiang Y, Zhu W. Predicting intracerebral hemorrhage patients’ length-of-stay probability distribution based on demographic, clinical, admission diagnosis, and surgery information. J Healthc Eng. 2019;2019:12.

    Article  Google Scholar 

  11. Chan CL, Ting HW, Huang HT. The definition of a prolonged intensive care unit stay for spontaneous intracerebral hemorrhage patients: An application with national health insurance research database. Biomed Res Int. 2014;2014:891725.

    PubMed  PubMed Central  Google Scholar 

  12. Stein M, Misselwitz B, Hamann GF, Kolodziej MA, Reinges MHT, Uhl E. defining prolonged length of acute care stay for surgically and conservatively treated patients with spontaneous intracerebral hemorrhage: a population-based analysis. Biomed Res Int. 2016;2016:6.

    Article  Google Scholar 

  13. Loggini A, Del Brutto VJ, El Ammar F, Bulwa ZB, Saleh Velez F, McKoy C, et al. Intracranial hemorrhage in hospitalized patients: an infrequently studied condition with high mortality. Neurocrit Care. 2020. https://doi.org/10.1007/s12028-020-00946-y.

    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  Google Scholar 

  15. Hemphill JC, 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  Google Scholar 

  16. Taylor WA (200) Change-point analysis: a powerful new tool for detecting changes. Analysis

  17. Gavit P, Baddour Y, Tholmer R. Use of change-point analysis for process monitoring and control. Biopharm Int. 2009;22(8):46–55.

    CAS  Google Scholar 

  18. Boulkedid R, Sibony O, Bossu-Salvador C, Oury JF, Alberti C. Monitoring healthcare quality in an obstetrics and gynaecology department using a CUSUM chart. BJOG An Int J Obstet Gynaecol. 2010;117(10):1225–35.

    Article  CAS  Google Scholar 

  19. Nam S, Cha JH, Cho S. A Bayesian change-point analysis for software reliability models. Commun Stat Simul Comput. 2008;37:1855–69.

    Article  Google Scholar 

  20. Jose CT, Ismail B, Jayasekhar S. Trend, growth rate, and change point analysis—a data driven approach. Commun Stat Simul Comput. 2008;37:498–506.

    Article  Google Scholar 

  21. Liu P, Guo S, **ong L, Chen L. Flood season segmentation based on the probability change-point analysis technique. Hydrol Sci J. 2010;5:540–54.

    Article  Google Scholar 

  22. Rudoy D, Yuen SG, Howe RD, Wolfe PJ. Bayesian change-point analysis for atomic force microscopy and soft material indentation. J R Stat Soc Ser C Appl Stat. 2010;59:573–93.

    Google Scholar 

  23. Hanley DF, Thompson RE, Rosenblum M, Yenokyan G, Lane K, McBee N, et al. Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial. Lancet. 2019;393:1021–32.

    Article  Google Scholar 

  24. Kellner CP, Chartrain AG, Nistal DA, Scaggiante J, Hom D, Ghatan S, et al. The Stereotactic Intracerebral Hemorrhage Underwater Blood Aspiration (SCUBA) technique for minimally invasive endoscopic intracerebral hemorrhage evacuation. J Neurointerv Surg. 2018;10:771–6.

    Article  Google Scholar 

  25. Alsherbini K, Goyal N, Metter EJ, Pandhi A, Tsivgoulis G, Huffstatler T, et al. Predictors for Tracheostomy with External Validation of the Stroke-Related Early Tracheostomy Score (SETscore). Neurocrit Care. 2019;30:185–92.

    Article  CAS  Google Scholar 

  26. McCann MR, Hatton KW, Vsevolozhskaya OA, Fraser JF. Earlier tracheostomy and percutaneous endoscopic gastrostomy in patients with hemorrhagic stroke: associated factors and effects on hospitalization. J Neurosurg. 2019;132(1):1–7.

    Google Scholar 

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Funding

This study received no external funding.

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Authors and Affiliations

Authors

Contributions

A.L. was responsible for study concept and drafting the manuscript. A.M. was responsible for study design, data analysis, and drafting the manuscript. F.E.A., Z.B, F.S.V., and C.M.C. were responsible for data collection and analysis. C.L. and C.K. were responsible for critical revision of the manuscript. F.G. was responsible for critical revision and approval of the final version of the manuscript.

Corresponding author

Correspondence to Fernando D. Goldenberg.

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The authors declare that they have nothing to disclose.

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This study was approved by the University of Chicago Medical Center (UCMC) Institutional Review Board and ethics standards committee with a waiver of informed consent.

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Loggini, A., Mansour, A., El Ammar, F. et al. Early Determinants of Neurocritical Care Unit Length of Stay in Patients with Spontaneous Intracerebral Hemorrhage. Neurocrit Care 34, 485–491 (2021). https://doi.org/10.1007/s12028-020-01046-7

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