Critical appraisal of advance directives given by patients with fatal acute stroke: an observational cohort study

Background: Advance directives (AD) imply the promise of determining future medical treatment in case of decisional incapacity. However, clinical practice increasingly indicates that standardized ADs often fail to support patients’ autonomy. To date, little data are available about the quality and impact of ADs on end-of-life decisions for incapacitated acute stroke patients. Methods: We analyzed the ADs of patients with fatal stroke, focusing on: (a) their availability and type, (b) stated circumstances to which the AD should apply, and (c) stated wishes regarding specific treatment options. Results: Between 2011 and 2014, 143 patients died during their hospitalization on our stroke unit. Forty-two of them (29.4%) had a completed and signed, written AD, as reported by their family, but only 35 ADs (24.5%) were available. The circumstances in which the AD should apply were stated by 21/35 (60%) as a “terminal condition that will cause death within a relatively short time” or an ongoing “dying process.” A retrospective review found only 16 of 35 ADs (45.7%) described circumstances that, according to the medical file, could have been considered applicable by the treating physicians. A majority of patients objected to cardiopulmonary resuscitation (22/35, 62.9%), mechanical ventilation (19/35, 54.3%), and artificial nutrition (26/35, 74.3%), while almost all (33/35, 94.3%) directed that treatment for alleviation of pain or discomfort should be provided at all times even if it could hasten death. Conclusions: The prevalence of ADs among patients who die from acute stroke is still low. A major flaw of the ADs in our cohort was their attempt to determine single medical procedures without focusing on a precise description of applicable scenarios. Therefore, less than half of the ADs were considered applicable for severe acute stroke. These findings stress the need to foster educational programs for the general public about advance care planning to facilitate the processing of timely, comprehensive, and individualized end-of-life decision-making

Gender and Age Interact to Affect Early Outcome after Intracerebral Hemorrhage

BackgroundIntracerebral hemorrhage (ICH) is a common and devastating form of cerebrovascular disease. In ICH, gender differences in outcomes remain relatively understudied but have been examined in other neurological emergencies. Further, a potential effect of age and gender on outcomes after ICH has not been explored. This study was designed to test the hypothesis that age and gender interact to modify neurological outcomes after ICH.MethodsAdult patients admitted with spontaneous primary supratentorial ICH from July 2007 through April 2010 were assessed via retrospective analysis of an existing stroke database at Duke University. Univariate analysis of collected variables was used to compare gender and outcome. Unfavorable outcome was defined as discharge to hospice or death. Using multivariate regression, the combined effect of age and gender on outcome after ICH was analyzed. ResultsIn this study population, women were younger (61.1+14.5 versus 65.8+17.3 years, p=0.03) and more likely to have a history of substance abuse (35% versus 8.9%, p<0.0001) compared to men. Multivariable models demonstrated that advancing age had a greater effect on predicting discharge outcome in women compared to men (p=0.02). For younger patients, female sex was protective; however, at ages greater than 60 years, female sex was a risk factor for discharge to hospice or death.ConclusionWhile independently associated with discharge to hospice or death after ICH, the interaction effect between gender and age demonstrated significantly stronger correlation with early outcome after ICH in a single center cohort. Prospective study is required to verify these findings

Sonographic Monitoring of Midline Shift Predicts Outcome after Intracerebral Hemorrhage

Background: Spontaneous intracerebral hemorrhage (ICH) and the evolution of subsequent perihemorrhagic edema lead to midline shift (MLS), which can be assessed by transcranial duplex sonography (TDS). In this observational study, we monitored MLS with TDS in patients with supratentorial ICH up to day 14 after the ictus, and then correlated MLS with the outcome 6 months after hospital discharge. Methods: Sixty-eight patients with spontaneous ICH (volume 1 20 cm 3 ) were admitted during a 1-year period between April 2009 and April 2010. Sixty-one patients fulfilled the inclusion criteria and were eligible for analysis. TDS to measure MLS was performed upon admission and then subsequently, using serial examinations in 24-hour intervals up to day 14. Statistical tests were used to determine cut-off values for functional outcome and mortality after 6 months. Results: The median National Institutes of Health Stroke Scale (NIHSS) score upon admission was 21 and the mean hematoma volume was 52 cm 3 . NIHSS score, functional outcome, hematoma volume and MLS were correlated in the examined patient cohort. ICH score upon admission, hematoma volume and the extent of MLS on days 1–14 were predictive of functional outcome and death. Values of MLS showed two peaks, the first between day 2 and day 5 and the second between day 12 and day 14, indicating that edema progresses not only during the acute but also during the subacute phase. Depending on the time point, an MLS of 4.5–7.5 mm or greater indicated an impending failure of conservative therapy. An MLS of 12 mm or greater at any time indicated mortality with a sensitivity of 69%, a specificity of 100% and positive and negative predictive values of 100 and 74%, respectively. Conclusions: MLS seems to be a crucial factor for outcome after ICH. Apart from the hematoma volume itself, edema adds to the intracranial pressure. To monitor MLS in early patient management after ICH, TDS is a useful noninvasive bedside alternative, avoiding increased radiation exposure and repeated transportation of critically ill patients. Cut-off values may help to reliably predict functional outcome and treatment failure in patients undergoing maximal neurointensive therapy