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1.
Neurol Sci ; 44(3): 979-988, 2023 Mar.
Article in English | MEDLINE | ID: mdl-36383264

ABSTRACT

BACKGROUND: Subclinical atrial fibrillation (SCAF) may represent a cause of embolic stroke of undetermined source (ESUS) and its detection has important implications for secondary prevention with anticoagulation. Indications to implantable cardiac monitors (ICM) include SCAF detection. The aims of this study were to (1) evaluate the frequency of ICM-detected SCAF; (2) determine predictors of SCAF; and (3) identify patients who would benefit most from ICM implantation. METHODS: Between February 2017 and November 2020, all consecutive patients referred for ICM implantation after a diagnosis of ESUS and without previous history of atrial fibrillation or atrial flutter were included in this study. SCAF was diagnosed if the ICM electrogram demonstrated an episode of irregularly irregular rhythm without distinct P waves lasting > 2 min. RESULTS: We enrolled 109 patients (age 66, SD = 13 years; 36% females). During a median follow-up of 19.2 (IQR 11.0-27.5) months, SCAF episodes were detected in 36 (33%) patients. Only abnormal P wave terminal force in lead V1, left atrial end-systolic indexed volume > 34 ml/m2, and BMI > 25 kg/m2 were independently associated with an increased risk of SCAF (HR 2.44, 95% CI 1.14-5.21, p = 0.021; HR 2.39, 95% CI 1.11-5.13, p = 0.026; and HR 2.64, 95% CI 1.06-6.49, p = 0.036 respectively). The ROC curve showed that the presence of all three parameters had the best accuracy (74%) to predict SCAF detection (sensitivity 39%, specificity 91%). CONCLUSION: A multiparametric evaluation has the best accuracy to predict SCAF in ESUS patients and may help identifying those who would benefit most from ICM.


Subject(s)
Atrial Fibrillation , Embolic Stroke , Stroke , Female , Humans , Aged , Male , Atrial Fibrillation/complications , Atrial Fibrillation/diagnosis , Embolic Stroke/complications , Risk Factors , Electrocardiography/adverse effects , Stroke/complications , Stroke/diagnosis
2.
J Neurol Neurosurg Psychiatry ; 85(8): 889-94, 2014 Aug.
Article in English | MEDLINE | ID: mdl-24403284

ABSTRACT

BACKGROUND: The impact of educational strategies in the management of adverse treatment effects and drug interactions in adult patients with epilepsy with comorbidities remains undetermined. OBJECTIVE: The EDU-COM study is a randomised, pragmatic trial investigating the effect of a patient-tailored educational plan in patients with epilepsy with comorbidity. METHODS: 174 adult patients with epilepsy with chronic comorbidities, multiple-drug therapy and reporting at least one adverse treatment effect and/or drug interaction at study entry were randomly assigned to the educational plan or usual care. The primary endpoint was the number of patients becoming free from adverse treatment events and/or drug interactions after a 6-month follow-up. The number of adverse treatment events and drug interactions, health-related quality of life (HRQOL) summary score changes and the monetary costs of medical contacts and drugs were assessed as secondary outcomes. RESULTS: The primary endpoint was met by 44.0% of patients receiving the educational plan versus 28.9% of those on usual care (p=0.0399). The control group reported a significantly higher risk not to meet successfully the primary endpoint at the end of the study: OR (95% CI) of 2.29 (1.03 to 5.09). A separate analysis on drug adverse effects and drug interactions showed that the latter were more sensitive to the effect of educational treatment. Quality of life and costs were not significantly different in the two groups. CONCLUSIONS: A patient-tailored educational strategy is effective in reducing drug-related problems (particularly drug interactions) in epilepsy patients with chronic comorbidities, without adding significant monetary costs. Registered at ClinicalTrials.gov, identifier NCT01804322, (http://www.clinicaltrials.gov).


Subject(s)
Epilepsy/complications , Epilepsy/therapy , Patient Education as Topic/methods , Adolescent , Adult , Aged , Anticonvulsants/adverse effects , Anticonvulsants/therapeutic use , Bias , Cost of Illness , Data Interpretation, Statistical , Drug Interactions , Endpoint Determination , Epilepsy/economics , Female , Humans , Male , Middle Aged , Outcome Assessment, Health Care , Patient-Centered Care , Quality of Life , Sample Size , Single-Blind Method , Socioeconomic Factors , Treatment Outcome , Young Adult
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