Valve surgery for infective endocarditis complicated by stroke: surgical timing and perioperative neurological complications.

BACKGROUND AND PURPOSE: Ischaemic and hemorrhagic strokes are dreaded complications of infective endocarditis (IE). The timing of valve surgery for IE patients with stroke remains uncertain. The aim was to study perioperative neurological complications in relation to surgical timing. METHODS: The study cohort consisted of patients diagnosed with acute IE from January 2010 to December 2016. Early surgery was defined as valve surgery within 14 days of IE diagnosis, and late surgery as after 14 days. Neurological complications that occurred within 14 days post-surgery were considered perioperative and classified as new ischaemic stroke or hemorrhagic stroke, expansion of an existing intracranial hemorrhage and new-onset seizures. Perioperative neurological complications were compared by surgical timing and other variables, including pre-surgical imaging. RESULTS: Overall, 183 patients underwent valve surgery: 92 had early surgery at a median of 8 days (interquartile range 6-11); 91 had late surgery at a median of 28 days (interquartile range 19-50). Twenty patients (10.9%) had 24 complications: 11 ischaemic, six intraparenchymal hemorrhages, three subarachnoid hemorrhages (SAHs) and four new-onset seizures. Rates of neurological complications were similar for early and late surgery groups (10.9% vs. 11%). Enterococcal IE was more common amongst patients with perioperative neurological complications (35% vs. 12.3%, P < 0.01). An acute infarct was present on pre-surgical magnetic resonance imaging of 134 patients (74%) and was not associated with perioperative neurological complications. Thirty-five patients (19.3%) had intracranial hemorrhage on pre-surgical imaging. SAH on pre-surgical imaging was associated with developing SAH perioperatively (66.7% vs. 13.5%, P < 0.01). CONCLUSION: Early valve surgery for patients with IE complicated by stroke was not associated with perioperative neurological complications.

Cerebral microbleeds predict infectious intracranial aneurysm in infective endocarditis.

BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI) features such as cerebral microbleeds and sulcal susceptibility-weighted imaging (SWI) or gradient-echo T2* lesions in infective endocarditis (IE) have been associated with the presence of infectious intracranial aneurysm (IIA). Our aim was to validate these MRI predictors for IIA in order to better assist in assessing the appropriate indications for digital subtraction angiography (DSA). METHODS: The derivation cohort comprised IE patients with neurological evaluation, MRI and DSA at a single tertiary referral center from January 2015 to July 2016. Validation was performed in a cohort of IE patients who underwent MRI and DSA at the same center from 2010 to 2014. RESULTS: Of 62 patients in the derivation cohort, 10 (16%) had IIAs. Of 129 in the validation cohort, 19 (15%) IIAs were identified. The MRI predictors for IIA consist of (i) contrast enhancement with microbleeds, (ii) cerebral microbleeds >5 mm or sulcal SWI lesions and (iii) any MRI hemorrhages. The sensitivity for the presence of IIA in each group of the derivation cohort was 90%, 80% and 100%, respectively. The sensitivity in the validation cohort was 47%, 68% and 94% respectively. The specificity in the derivation cohort was 87%, 85% and 18%. In the validation cohort, the specificity was similar at 87%, 75% and 27%. CONCLUSIONS: The absence of MRI hemorrhages may not necessitate the need for DSA.

Variables That Best Differentiate In-Patient Acute Stroke from Stroke-Mimics with Acute Neurological Deficits.

Introduction. Strokes and stroke-mimics have been extensively studied in the emergency department setting. Although in-hospital strokes are less studied in comparison to strokes in the emergency department, they are a source of significant direct and indirect costs. Differentiating in-hospital strokes from stroke-mimics is important. Thus, our study aimed to identify variables that can differentiate in-hospital strokes from stroke-mimics. Methods. We present here a retrospective analysis of 93 patients over a one-year period (2009 to 2010), who were evaluated for a concern of in-hospital strokes. Results. About two-thirds (57) of these patients were determined to have a stroke, and the remaining (36) were stroke-mimics. Patients with in-hospital strokes were more likely to be obese (p = 0.03), have been admitted to the cardiology service (p = 0.01), have atrial fibrillation (p = 0.03), have a weak hand or hemiparesis (p = 0.03), and have a prior history of stroke (p = 0.05), whereas, when the consults were called for "altered mental status" but no other deficits (p < 0.0001), it is likely a stroke-mimic. Conclusion. This study demonstrates that in-hospital strokes are a common occurrence, and knowing the variables can aid in their timely diagnosis and treatment.

Degree of Collaterals and Not Time Is the Determining Factor of Core Infarct Volume within 6 Hours of Stroke Onset.

BACKGROUND AND PURPOSE: Growth of the core infarct during the first hours of ischemia onset is not well-understood. We hypothesized that factors other than time from onset of ischemia contribute to core infarct volume as measured by MR imaging. MATERIALS AND METHODS: Prospectively collected clinical and imaging data of consecutive patients with stroke presenting between March 2008 and April 2013 with anterior circulation large-vessel occlusion and MR imaging performed within 6 hours from the time of onset were reviewed. The association of time from onset, clinical, and radiographic features with DWI volume was assessed by using χ(2) and Mann-Whitney U tests. RESULTS: Of 91 patients, 21 (23%) underwent MR imaging within 0-3 hours from onset, and 70 (76%), within 3-6 hours. Median MR imaging infarct volume was similar in both timeframes, (24.7 versus 29.4 mL, P = .906), and there was no difference in the proportion of patients with large infarct volumes (≥70 mL, 23.8% versus 22.8%, P = .928). Using receiver operating characteristic analysis, we detected no association between the time from onset and MR imaging infarct volume (area under the curve = 0.509). In multivariate analysis, CTA collaterals (>50% of the territory) (adjusted OR, 0.192; 95% CI, 0.04-0.9; P = .046), CTA ASPECTS (adjusted OR, 0.464; 95% CI, 0.3-0.8; P = .003), and a history of hyperlipidemia (adjusted OR, 11.0; 95% CI, 1.4-88.0; P = .023) (but not time from stroke onset to imaging) were independent predictors of MR imaging infarct volume. CONCLUSIONS: Collateral status but not time from stroke onset to imaging was a predictor of the size of core infarct in patients with anterior circulation large-vessel occlusion presenting within 6 hours from onset.

Variability in diagnosing Creutzfeldt-Jakob disease using standard and proposed diagnostic criteria.

INTRODUCTION: Creutzfeldt-Jakob disease (CJD) is a rapidly progressive dementia with a median survival of 2-14 months. The diagnosis can only be made accurately by biopsy/autopsy. However, this is not always feasible or desirable. Thus, diagnostic criteria have been proposed by UCSF, European MRI-CJD Consortium, and WHO. We will compare these criteria. PATIENTS AND METHODS: Retrospective study of 31 patients (average age of 69.2 years) between 2003 to 2010 by ICD9 codes 046.1, 046.11, and 046.19. RESULTS: All patients presented with rapidly progressive dementia (mean duration of 4.25 months). Pyramidal and extrapyramidal findings, myoclonus, cerebellar changes, akinetic mutism, and visual disturbances were observed in 6.5-48.4%. Five had periodic pattern on EEG. CSF biomarker 14-3-3 was positive in 11. Tau was positive in 6. Neuron specific enolase was positive in 9. By consensus (kappa = 0.62), MRI was "typical" of CJD in 23 with cortical ribboning (n = 16), basal ganglia hyperintensity (n = 15), or combination (n = 8). By WHO criteria, which does not include neuroimaging, CJD was diagnosed in 10, but 14 if any CSF biomarker was used (p = NS). The UCSF criteria, which does not include CSF biomarkers, diagnosed 18 cases, and the European MRI-CJD Consortium, which includes neuroimaging and CSF biomarkers but with less neurological signs, diagnosed 23 cases (p < 0.05 and p < 0.001, respectively). CJD-mimics included urosepsis, neurosarcoidosis, idiopathic left temporal lobe epilepsy, alcohol intoxication, central nervous system vasculitis, viral encephalitis, and non-Hodgkin's lymphoma. CONCLUSION: This study illustrates the variability in diagnosing CJD and emphasizes the diagnostic utility of neuroimaging. It also highlights false-positives that occur with neuroimaging.