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      End-of-life decisions in acute stroke patients: an observational cohort study

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          Abstract

          Background

          Crucial issues of modern stroke care include best practice end-of-life-decision (EOLD)-making procedures and the provision of high-quality palliative care for dying stroke patients.

          Methods

          We retrospectively analyzed records of those patients who died over a 4-year period (2011–2014) on our Stroke Unit concerning EOLD, focusing on the factors that most probably guided decisions to induce limitation of life-sustaining therapy and subsequently end-of-life-care procedures thereafter.

          Results

          Of all patients treated at our Stroke Unit, 120 (2.71 %) died. In 101 (86.3 %), a do-not-resuscitate-order (DNRO) was made during early treatment. A decision to withdraw/withhold further life supportive therapy was made in 40 patients (34.2 %) after a mean of 5.0 days (range 0–29). Overall patient death occurred after a mean time of 7.0 days (range 1–30) and 2.6 days after therapy restrictions. Disturbance of consciousness at presentation, dysphagia on day 1 and large supratentorial stroke were possible indicators of decisions to therapeutic withdrawing/withholding. Proceedings of EOL care in these patients were heterogeneous; in most cases monitoring (95 %), medical procedures (90 %), oral medication (88 %), parenteral nutrition (98 %) and antibiotic therapy (86 %) were either not ordered or withdrawn, however IV fluids were continued in all patients.

          Conclusions

          A high percentage of stroke patients were rated as terminally ill and died in the course of caregiving. Disturbance of consciousness at presentation, dysphagia on day 1 and large supratentorial stroke facilitated decisions to change therapeutic goals thus initiating end-of-life-care. However, there is further need to foster research on this field in order to ameliorate outcome prognostication, to understand the dynamics of EOLD-making procedures and to educate staff to provide high-quality patient-centred palliative care in stroke medicine.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12904-016-0113-8) contains supplementary material, which is available to authorized users.

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          Most cited references34

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          The ICH score: a simple, reliable grading scale for intracerebral hemorrhage.

          Intracerebral hemorrhage (ICH) constitutes 10% to 15% of all strokes and remains without a treatment of proven benefit. Despite several existing outcome prediction models for ICH, there is no standard clinical grading scale for ICH analogous to those for traumatic brain injury, subarachnoid hemorrhage, or ischemic stroke. Records of all patients with acute ICH presenting to the University of California, San Francisco during 1997-1998 were reviewed. Independent predictors of 30-day mortality were identified by logistic regression. A risk stratification scale (the ICH Score) was developed with weighting of independent predictors based on strength of association. Factors independently associated with 30-day mortality were Glasgow Coma Scale score (P /=80 years (P=0.001), infratentorial origin of ICH (P=0.03), ICH volume (P=0.047), and presence of intraventricular hemorrhage (P=0.052). The ICH Score was the sum of individual points assigned as follows: GCS score 3 to 4 (=2 points), 5 to 12 (=1), 13 to 15 (=0); age >/=80 years yes (=1), no (=0); infratentorial origin yes (=1), no (=0); ICH volume >/=30 cm(3) (=1), <30 cm(3) (=0); and intraventricular hemorrhage yes (=1), no (=0). All 26 patients with an ICH Score of 0 survived, and all 6 patients with an ICH Score of 5 died. Thirty-day mortality increased steadily with ICH Score (P<0.005). The ICH Score is a simple clinical grading scale that allows risk stratification on presentation with ICH. The use of a scale such as the ICH Score could improve standardization of clinical treatment protocols and clinical research studies in ICH.
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            Age and National Institutes of Health Stroke Scale Score within 6 hours after onset are accurate predictors of outcome after cerebral ischemia: development and external validation of prognostic models.

            To date, no validated, comprehensive, and practicable model exists to predict functional recovery within the first hours of cerebral ischemic symptoms. The purpose of this study was to externally validate 2 prognostic models predicting functional outcome and survival at 100 days within the first 6 hours after onset of acute cerebral ischemia. On admission to a participating hospital, patients were registered prospectively and included according to defined criteria. Follow-up was performed 100 days after the event. With the use of prospectively collected data, 2 prognostic models were developed and internally calibrated in 1079 patients and externally validated in 1307 patients. By means of age and National Institutes of Health Stroke Scale (NIHSS) score as independent variables, model I predicts incomplete functional recovery (Barthel Index <95) versus complete functional recovery, and model II predicts mortality versus survival. In the validation data set, model I correctly predicted 62.9% of the patients who were incompletely restituted or had died and 83.2% of the completely restituted patients, and model II correctly predicted 57.9% of the patients who had died and 91.5% of the surviving patients. Both models performed better than the treating physicians' predictions made within 6 hours after admission. The resulting prognostic models are useful to correctly stratify treatment groups in clinical trials and should guide inclusion criteria in clinical trials, which in turn increases the power to detect clinically relevant differences.
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              Withdrawal of support in intracerebral hemorrhage may lead to self-fulfilling prophecies.

              Withdrawal of support in patients with severe brain injury invariably leads to death. Preconceived notions about futility of care in patients with intracerebral hemorrhage (ICH) may prompt withdrawal of support, and modeling outcome in patient populations in whom withdrawal of support occurs may lead to self-fulfilling prophecies. Subjects included consecutive patients with supratentorial ICH. Radiographic characteristics of the hemorrhage, clinical variables, and neurologic outcome were assessed. Attitudes about futility of care were examined among members of the departments of neurology and neurologic surgery through a written survey and case presentations. There were 87 patients with supratentorial ICH; overall mortality was 34.5% (30/87). Mortality was 66.7% (18/27) in patients with Glasgow Coma Score 60 cm(3). Medical support was withdrawn in 76.7% (23/30) of patients who died. Inclusion of a variable to account for the withdrawal of support in a model predicting outcome negated the predictive value of all other variables. Patients undergoing surgical decompression were unlikely to have support withdrawn, and surgery was less likely to be performed in older patients (p < 0.01) and patients with left hemispheric hemorrhage (p = 0.04). Survey results suggested that practitioners tend to be overly pessimistic in prognosticating outcome based upon data available at the time of presentation. The most important prognostic variable in determining outcome after ICH is the level of medical support provided. Withdrawal of support in patients felt likely to have a "poor outcome" biases predictive models and leads to self-fulfilling prophecies. Our data show that individual patients in traditionally "poor outcome" categories can have a reasonable neurologic outcome when treated aggressively.
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                Author and article information

                Contributors
                ++49-621-383-2863 , alonso@neuro.ma.uni-heidelberg.de
                anne.ebert@umm.de
                dorothee.doerr@umm.de
                dieter.buchheidt@umm.de
                hennerici@neuro.ma.uni-heidelberg.de
                szabo@neuro.ma.uni-heidelberg.de
                Journal
                BMC Palliat Care
                BMC Palliat Care
                BMC Palliative Care
                BioMed Central (London )
                1472-684X
                5 April 2016
                5 April 2016
                2016
                : 15
                : 38
                Affiliations
                [ ]Department of Neurology, UniversitätsMedizin Mannheim, University of Heidelberg, 68167 Mannheim, Germany
                [ ]Health Care Ethics Committee, UniversitätsMedizin Mannheim, University of Heidelberg, 68167 Mannheim, Germany
                [ ]Department of Hematology and Oncology, UniversitätsMedizin Mannheim, University of Heidelberg, 68167 Mannheim, Germany
                Article
                113
                10.1186/s12904-016-0113-8
                4820928
                27044257
                c7abc625-d1f9-46f5-899c-c7f51fbd9991
                © Alonso et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 October 2015
                : 23 March 2016
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2016

                Anesthesiology & Pain management
                stroke,end-of-life decisions,palliative care,advance directives,stroke mortality

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