Fatal coccidioidomycosis involving the lungs, brain, tongue, and adrenals in a cirrhotic patient. An autopsy case.

In this paper, we describe a case of fatal disseminated coccidioidomycosis (CM). The patient was a 44-year old male with a history of cirrhosis who presented with altered mental status, cough, and an enlarged, ulcerated tongue. On evaluation, the patient was found to have coccidioidal infection of the tongue, lungs, and brain. Despite over two months of antifungal treatment, the patient died from aspiration pneumonia and at autopsy was found to have persistent infection of the tongue and lungs, extensive mycosis of the brain, and involvement of both adrenal glands. The fulminant course of coccidioidomycosis in this patient is ascribed to his baseline cirrhosis and lymphocytopenia. There are few autopsy cases of CM that have been described in the post-antifungal era and few published cases of CM with either tongue or adrenal involvement.

External validation of stroke mimic prediction scales in the emergency department.

BACKGROUND: Acute ischemic stroke is a time-sensitive emergency where accurate diagnosis is required promptly. Due to time pressures, stroke mimics who present with similar signs and symptoms as acute ischemic stroke, pose a diagnostic challenge to the emergency physician. With limited access to investigative tools, clinical prediction, tools based only on clinical features, may be useful to identify stroke mimics. We aim to externally validate the performance of 4 stroke mimic prediction scales, and derive a novel decision tree, to improve identification of stroke mimics. METHODS: We performed a retrospective cross-sectional study at a primary stroke centre, served by a telestroke hub. We included consecutive patients who were administered intravenous thrombolysis for suspected acute ischemic stroke from January 2015 to October 2017. Four stroke mimic prediction tools (FABS, simplified FABS, Telestroke Mimic Score and Khan Score) were rated simultaneously, using only clinical information prior to administration of thrombolysis. The final diagnosis was ascertained by an independent stroke neurologist. Area under receiver operating curve (AUROC) analysis was performed. A classification tree analysis was also conducted using variables which were found to be significant in the univariate analysis. RESULTS: Telestroke Mimic Score had the highest discrimination for stroke mimics among the 4 scores tested (AUROC = 0.75, 95% CI = 0.63-0.87). However, all 4 scores performed similarly (DeLong p > 0.05). Telestroke Mimic Score had the highest sensitivity (91.3%), while Khan score had the highest specificity (88.2%). All 4 scores had high positive predictive value (88.1 to 97.5%) and low negative predictive values (4.7 to 32.3%). A novel decision tree, using only age, presence of migraine and psychiatric history, had a higher prediction performance (AUROC = 0.80). CONCLUSION: Four tested stroke mimic prediction scales performed similarly to identify stroke mimics in the emergency setting. A novel decision tree may improve the identification of stroke mimics.