Dataset Information

Brain CT Findings in Patients with First-Onset Seizure Visiting the Emergency Department in Mashhad, Iran.

ABSTRACT: Introduction:Regarding the complications and costs of CT imaging for patients, this study aimed at investigating the necessity of CT scans in patients visiting the emergency unit with first-onset seizure. Methods:One hundred patients who had experienced their first seizure were enrolled. Their CT scan was studied, and based on the radiology report, the type of probable pathologies and their percentage were determined. Results:The patient's mean age was 39.78±17.43 yrs. CT scan abnormalities were reported in 27 cases as follows: nonspecific senile changes in 11 (40.7%), encephalomalacia in 3 (11.1%), acute infarct in 5 (18.5%), lacunar infarct in 3 (11.1%), mass-like lesion in 4 (14.8%) and cerebral venous thrombosis (CVT) evidence in 1 (3.7%). Acute infarct and mass-like lesions were seen together in the CT scan of one patient. In only 9 of the 27 abnormal CT scans, the findings were in accordance with seizure consisting of an acute infarct, mass-like lesion, and CVT evidence. Discussion:It seems that performing a CT scan in all patients referring to the emergency department with a first-onset seizure is not necessary.

SUBMITTER: Zarmehri B

PROVIDER: S-EPMC7293958 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Brain CT Findings in Patients with First-Onset Seizure Visiting the Emergency Department in Mashhad, Iran.

Zarmehri Bahram B Teimouri Ali A Ebrahimipour Navid N Foroughian Mahdi M Talebzadeh Vahid V Saeidi Morteza M Alirezaei Mehran M

Open access emergency medicine : OAEM 20200610

<h4>Introduction</h4>Regarding the complications and costs of CT imaging for patients, this study aimed at investigating the necessity of CT scans in patients visiting the emergency unit with first-onset seizure.<h4>Methods</h4>One hundred patients who had experienced their first seizure were enrolled. Their CT scan was studied, and based on the radiology report, the type of probable pathologies and their percentage were determined.<h4>Results</h4>The patient's mean age was 39.78±17.43 yrs. CT s ...[more]

PMID: 32607013

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Project description:IntroductionCommunity-acquired pneumonia (CAP) requires prompt treatment, but its diagnosis is complex. Improvement of bacterial CAP diagnosis by biomarkers has been evaluated using chest X-ray infiltrate as the CAP gold standard, producing conflicting results. We analyzed the diagnostic accuracy of biomarkers in suspected CAP adults visiting emergency departments for whom CAP diagnosis was established by an adjudication committee which founded its judgment on a systematic multidetector thoracic CT scan.MethodsIn an ancillary study of a multi-center prospective study evaluating the impact of systematic thoracic CT scan on CAP diagnosis, sensitivity and specificity of C-reactive protein (CRP) and procalcitonin (PCT) were evaluated. Systematic nasopharyngeal multiplex respiratory virus PCR was performed at inclusion. An adjudication committee classified CAP diagnostic probability on a 4-level Likert scale, based on all available data.ResultsTwo hundred patients with suspected CAP were analyzed. The adjudication committee classified 98 patients (49.0 %) as definite CAP, 8 (4.0 %) as probable, 23 (11.5 %) as possible and excluded in 71 (35.5 %, including 29 patients with pulmonary infiltrates on chest X-ray). Among patients with radiological pulmonary infiltrate, 23 % were finally classified as excluded. Viruses were identified by PCR in 29 % of patients classified as definite. Area under the curve was 0.787 [95 % confidence interval (95 % CI), 0.717 to 0.857] for CRP and 0.655 (95 % CI, 0.570 to 0.739) for PCT to detect definite CAP. CRP threshold at 50 mg/L resulted in a positive predictive value of 0.76 and a negative predictive value of 0.75. No PCT cut-off resulted in satisfactory positive or negative predictive values. CRP and PCT accuracy was not improved by exclusion of the 25 (25.5 %) definite viral CAP cases.ConclusionsFor patients with suspected CAP visiting emergency departments, diagnostic accuracy of CRP and PCT are insufficient to confirm the CAP diagnosis established using a gold standard that includes thoracic CT scan. Diagnostic accuracy of these biomarkers is also insufficient to distinguish bacterial CAP from viral CAP.Trial registrationClinicalTrials.gov registry NCT01574066 (February 7, 2012).

Project description:BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be associated with myocardial injury. Identification of at-risk patients and mechanisms underlying cardiac involvement in COVID-19 remains unclear. During hospitalization for COVID-19, high troponin level has been found to be an independent variable associated with in-hospital mortality and a greater risk of complications. Electrocardiographic (ECG) abnormalities could be a useful tool to identify patients at risk of poor prognostic. The aim of our study was to assess if specific ECGs patterns could be related with in-hospital mortality in COVID-19 patients presenting to the ED in a European country.MethodsFrom February 1st to May 31st, 2020, we conducted a multicenter study in three hospitals in France. We included adult patients (≥ 18 years old) who visited the ED during the study period, with ECG performed at ED admission and diagnosed with COVID-19. Demographic, comorbidities, drug exposures, signs and symptoms presented, and outcome data were extracted from electronic medical records using a standardized data collection form. The relationship between ECG abnormalities and in-hospital mortality was assessed using univariate and multivariable logistic regression analyses.ResultsAn ECG was performed on 275 patients who presented to the ED. Most of the ECGs were in normal sinus rhythm (87%), and 26 (10%) patients had atrial fibrillation/flutter on ECG at ED admission. Repolarization abnormalities represented the most common findings reported in the population (40%), with negative T waves representing 21% of all abnormalities. We found that abnormal axis (adjusted odds ratio: 3.9 [95% CI, 1.1-11.5], p = 0.02), and left bundle branch block (adjusted odds ratio: 7.1 [95% CI, 1.9-25.1], p = 0.002) were significantly associated with in-hospital mortality.ConclusionsECG performed at ED admission may be useful to predict death in COVID-19 patients. Our data suggest that the presence of abnormal axis and left bundle branch block on ECG indicated a higher risk of in-hospital mortality in COVID-19 patients who presented to the ED. We also confirmed that ST segment elevation was rare in COVID-19 patients.

Dataset Information

Brain CT Findings in Patients with First-Onset Seizure Visiting the Emergency Department in Mashhad, Iran.

Publications

Brain CT Findings in Patients with First-Onset Seizure Visiting the Emergency Department in Mashhad, Iran.

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