Early Neurological Changes and Interpretation of Clinical Grades in Aneurysmal Subarachnoid Hemorrhage.

OBJECTIVES: Hunt and Hess (HH) and World Federation of Neurological Surgeons (WFNS) grades are commonly used to report clinical severity of aneurysmal subarachnoid hemorrhage (aSAH). We sought to determine the impact of early neurological changes and the timing of clinical grade assignment on the prognostication accuracy. METHODS: We retrospectively reviewed a cohort of consecutive patients with aSAH who were admitted to an academic center. Patients with confirmed aneurysmal cause were included. Relevant clinical data including daily clinical grades, imaging data and functional outcome were analyzed. Favorable outcome was defined as mRS 0 to 3. Early neurological improvement (ENI) and early neurological deterioration (END) were respectively defined as any improvement or deterioration of HH grades from hospital day 1 to the earliest time from hospital day 2 to 5. RESULTS: Of 310 patients, 24% experienced early neurological changes from hospital day 1 to 3. For each point increase in HH grades from day 1 to day 3, the odds ratio for worse outcome was 2.57 (95% CI [1.74-3.79]) and for each point decrease in HH grades from day 1 to day 3, the odds ratio for worse outcome was 0.28 (95% CI [0.17-0.47]). Receiver Operating Characteristic curve analysis revealed that clinical grades on day 3 had higher accuracy in predicting worse outcome than clinical grades on day 1. CONCLUSION: Early changes in neurological status can alter trajectory of hospital course and functional outcome. The prognostic accuracy of the clinical grades from hospital day 3 is significantly greater than those on admission.

The impact of delirium on withdrawal of life-sustaining treatment after intracerebral hemorrhage.

OBJECTIVE: To determine the impact of delirium on withdrawal of life-sustaining treatment (WLST) after intracerebral hemorrhage (ICH) in the context of established predictors of poor outcome, using data from an institutional ICH registry. METHODS: We performed a single-center cohort study on consecutive patients with ICH admitted over 12 months. ICH features were prospectively adjudicated, and WLST and corresponding hospital day were recorded retrospectively. Patients were categorized using DSM-5 criteria as never delirious, ever delirious (either on admission or later during hospitalization), or persistently comatose. We determined the impact of delirium on WLST using Cox regression models adjusted for demographics and ICH predictors (including Glasgow Coma Scale score), then used logistic regression with receiver operating characteristic curve analysis to compare the accuracy of ICH score-based models with and without delirium category in predicting WLST. RESULTS: Of 311 patients (mean age 70.6 ± 15.6, median ICH score 1 [interquartile range 1-2]), 50% had delirium. WLST occurred in 26%, and median time to WLST was 1 day (0-6). WLST was more frequent in patients who developed delirium (adjusted hazard ratio 8.9 [95% confidence interval (CI) 2.1-37.6]), with high rates of WLST in both early (occurring ≤24 hours from admission) and later delirium groups. An ICH score-based model was strongly predictive of WLST (area under the curve [AUC] 0.902 [95% CI 0.863-0.941]), and the addition of delirium category further improved the model's accuracy (AUC 0.936 [95% CI 0.909-0.962], p = 0.004). CONCLUSION: Delirium is associated with WLST after ICH regardless of when it occurs. Further study on the impact of delirium on clinician and surrogate decision-making is warranted.

Arrival blood pressure in hypertensive and non-hypertensive spontaneous intracerebral hemorrhage.

BACKGROUND AND PURPOSE: Hypertension is a known risk factor for intracerebral hemorrhage (ICH), but it is unclear whether blood pressure (BP) at hospital arrival can be used to distinguish hypertensive ICH from non-hypertensive etiologies. PATIENTS AND METHODS: We performed a single-center cohort study using data from consecutive ICH patients over 12 months. ICH characteristics including etiology were prospectively adjudicated by two attending neurologists. Using adjusted linear regression models, we compared first recorded systolic BPs (SBP) and mean arterial pressures (MAP) in patients with hypertensive vs. other ICH etiologies. We then used area under the ROC curve (AUC) analysis to determine the accuracy of admission BP in differentiating between hypertensive and non-hypertensive ICH. RESULTS: Of 311 patients in our cohort (mean age 70.6 ± 15.6, 50% male, 83% white), the most frequent ICH etiologies were hypertension (50%) and cerebral amyloid angiopathy (CAA; 22%). Mean SBP and MAP for patients with hypertensive ICH was 175.1 ± 32.9 mmHg and 120.4 ± 22.9 mmHg, respectively, compared to 156.4 ± 28.0 mmHg and 109.6 ± 20.3 mmHg in non-hypertensive ICH (p < .001). Adjusted models showed that hypertensive ICH patients had higher BPs than those with CAA (mean SBP difference 10.7 mmHg [95% CI 0.8-20.5]; mean MAP difference 8.1 mmHg [1.1-15.0]) and especially patients with other non-CAA causes (mean SBP difference 23.9 mmHg [15.3-32.4]; mean MAP difference 14.5 mmHg [8.5-20.6]). However, on a patient-level, arrival BP did not reliably discriminate between hypertensive and non-hypertensive etiologies (AUC 0.660 [0.599-0.720]). CONCLUSIONS: Arrival BP differs between hypertensive and non-hypertensive ICH but should not be used as a primary determinant of etiology, as hypertension may be implicated in various subtypes of ICH.

Serum alpha-1 antitrypsin in acute ischemic stroke: A prospective pilot study.

BACKGROUND: Alpha-1 antitrypsin (AAT) is a potent anti-protease enzyme which may play a role in arterial wall stability. A variant of its encoding gene has been recently linked to ischemic stroke due to large artery atherosclerosis (LAA). We sought to explore potential relationships between ischemic stroke mechanisms, atherosclerosis burden and serum AAT levels. METHODS: We performed a prospective observational study of consecutive patients with acute ischemic stroke who were admitted to an academic comprehensive stroke center over a three-month period. Blood samples were collected within 24 h of hospital admission, and stroke subtype classification was determined based on modified TOAST criteria. Modified Woodcock scoring system was used to quantify calcification of major cervico-cranial arteries as a surrogate for atherosclerosis burden. Linear regression analysis was used to assess the association between serum AAT levels and calcification scores, both as continuous variables. RESULTS: Among eighteen patients met our inclusion criteria and were enrolled in our study, 10 patients (56%) were men; mean age was 66 (SD 12.5); median NIH stroke scale was 4 (IQR 9.5); 8 patients (44%) had stroke due to LAA. The median serum level of AAT was 140 mg/dl (IQR 41.7) for patients with LAA-related stroke, and 148.5 mg/dl (IQR 37.7) for patients with other stroke mechanisms (p = 0.26). Higher serum AAT levels was associated with lower modified Woodcock calcification scores. (p-value = 0.038) CONCLUSIONS: Measurement of AAT levels in patients with acute stroke is feasible, and there may be associations between AAT levels and stroke mechanism that warrant further study in larger samples.

Deconstructing Poststroke Delirium in a Prospective Cohort of Patients With Intracerebral Hemorrhage.

OBJECTIVES: Poststroke delirium may be underdiagnosed due to the challenges of disentangling delirium symptoms from underlying neurologic deficits. We aimed to determine the prevalence of individual delirium features and the frequency with which they could not be assessed in patients with intracerebral hemorrhage. DESIGN: Prospective observational cohort study. SETTING: Neurocritical Care and Stroke Units at a university hospital. PATIENTS: Consecutive patients with intracerebral hemorrhage from February 2018 to May 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: An attending neurointensivist performed 257 total daily assessments for delirium on 60 patients (mean age 68.0 [SD 18.4], 62% male, median intracerebral hemorrhage score 1.5 [interquartile range 1-2], delirium prevalence 57% [n = 34]). Each assessment included the Confusion Assessment Method for the ICU, Intensive Care Delirium Screening Checklist, a focused bedside cognitive examination, chart review, and nurse interview. We characterized individual symptom prevalence and established delirium diagnoses using Diagnostic and Statistical Manual of Mental Disorders, fifth edition criteria, then compared performance of the Confusion Assessment Method for the ICU and Intensive Care Delirium Screening Checklist against reference-standard expert diagnosis. Symptom fluctuation (61% of all assessments), psychomotor changes (46%), sleep-wake disturbances (46%), and impaired arousal (37%) had the highest prevalence and were never rated "unable to assess," while inattention (36%), disorientation (27%), and disorganized thinking (18%) were also common but were often rated 'unable to assess' (32%, 43%, and 44% of assessments, respectively), most frequently due to aphasia (32% of patients). Including nonverbal assessments of attention decreased the frequency of 'unable to assess' ratings to 11%. Since the Intensive Care Delirium Screening Checklist may be positive without the presence of symptoms that require verbal assessment, it was more accurate (sensitivity = 77%, specificity = 97%, area under the receiver operating characteristic curve, 0.87) than the Confusion Assessment Method for the ICU (sensitivity = 41%, specificity = 88%, area under the receiver operating characteristic curve, 0.64). CONCLUSIONS: Delirium is common after intracerebral hemorrhage, but severe neurologic deficits may confound its assessment and lead to underdiagnosis. The Intensive Care Delirium Screening Checklist's inclusion of nonverbal features may make it more accurate than the Confusion Assessment Method for the ICU in patients with neurologic deficits, but novel tools designed for such patients may be warranted.