7 research outputs found

    Stroke Correlates in Chagasic and Non-Chagasic Cardiomyopathies

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    BACKGROUND: Aging and migration have brought changes to the epidemiology and stroke has been shown to be independently associated with Chagas disease. We studied stroke correlates in cardiomyopathy patients with focus on the chagasic etiology. METHODOLOGY/PRINCIPAL FINDINGS: We performed a cross-sectional review of medical records of 790 patients with a cardiomyopathy. Patients with chagasic (329) and non-chagasic (461) cardiomyopathies were compared. There were 108 stroke cases, significantly more frequent in the Chagas group (17.3% versus 11.1%; p<0.01). Chagasic etiology (odds ratio [OR], 1.79), pacemaker (OR, 2.49), atrial fibrillation (OR, 3.03) and coronary artery disease (OR, 1.92) were stroke predictors in a multivariable analysis of the entire cohort. In a second step, the population was split into those with or without a Chagas-related cardiomyopathy. Univariable post-stratification stroke predictors in the Chagas cohort were pacemaker (OR, 2.73), and coronary artery disease (CAD) (OR, 2.58); while atrial fibrillation (OR, 2.98), age over 55 (OR, 2.92), hypertension (OR, 2.62) and coronary artery disease (OR, 1.94) did so in the non-Chagas cohort. Chagasic stroke patients presented a very high frequency of individuals without any vascular risk factors (40.4%; OR, 4.8). In a post-stratification logistic regression model, stroke remained associated with pacemaker (OR, 2.72) and coronary artery disease (OR, 2.60) in 322 chagasic patients, and with age over 55 (OR, 2.38), atrial fibrillation (OR 3.25) and hypertension (OR 2.12; p = 0.052) in 444 non-chagasic patients. CONCLUSIONS/SIGNIFICANCE: Chagas cardiomyopathy presented both a higher frequency of stroke and an independent association with it. There was a high frequency of strokes without any vascular risk factors in the Chagas as opposed to the non-Chagas cohort. Pacemaker rhythm and CAD were independently associated with stroke in the Chagas group while age over 55 years, hypertension and atrial fibrillation did so in the non-Chagas cardiomyopathies

    Stroke Correlates in Non-Chagasic Patients.

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    a<p>Unadjusted results based on Pearson chi-square or Fisher's exact test as appropriate. See text for explanation on how variables were previously selected. All 461 non-chagasic patients were included in the analysis.</p>b<p>Adjusted results based on logistic regression, all listed variables included. See text for explanation on how variables were previously selected. Missing cases were 17 due to listwise deletion. 444 patients remained in the analysis, 50 with a stroke and 394 without a stroke.</p><p>CAD: Coronary artery disease.</p

    Clinical and Demographic Correlates of Stroke in 790 Cardiomyopathy Patients.

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    a<p>Unadjusted results based on Pearson chi-square or Fisher's exact test as appropriate.</p>b<p>Adjusted results based on logistic regression, including all variables with unadjusted <i>p</i><0.05. Missing cases were 22 due to listwise deletion. 768 patients remained in the analysis, 107 with a stroke and 661 without a stroke.</p>c<p>Cardioversion for ventricular tachycardia or cardiac arrest.</p>d<p>Left ventricular ejection fraction below 45%.</p>e<p>Coronary artery bypass graft or percutaneous transluminal coronary angioplasty.</p

    Baseline Characteristics of 790 Cardiomyopathy Patients.

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    <p>SD: standard deviation.</p>a<p>Cardioversion for ventricular tachycardia or cardiac arrest.</p>b<p>Left ventricular ejection fraction below 45%.</p>c<p>Coronary artery bypass graft or percutaneous transluminal coronary angioplasty.</p

    Is diet partly responsible for differences in COVID-19 death rates between and within countries?

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    Adherence to treatment in allergic rhinitis using mobile technology. The MASK Study

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    Background: Mobile technology may help to better understand the adherence to treatment. MASK-rhinitis (Mobile Airways Sentinel NetworK for allergic rhinitis) is a patient-centred ICT system. A mobile phone app (the Allergy Diary) central to MASK is available in 22 countries. Objectives: To assess the adherence to treatment in allergic rhinitis patients using the Allergy Diary App. Methods: An observational cross-sectional study was carried out on all users who filled in the Allergy Diary from 1 January 2016 to 1 August 2017. Secondary adherence was assessed by using the modified Medication Possession Ratio (MPR) and the Proportion of days covered (PDC) approach. Results: A total of 12 143 users were registered. A total of 6 949 users reported at least one VAS data recording. Among them, 1 887 users reported ≄7 VAS data. About 1 195 subjects were included in the analysis of adherence. One hundred and thirty-six (11.28%) users were adherent (MPR ≄70% and PDC ≀1.25), 51 (4.23%) were partly adherent (MPR ≄70% and PDC = 1.50) and 176 (14.60%) were switchers. On the other hand, 832 (69.05%) users were non-adherent to medications (MPR <70%). Of those, the largest group was non-adherent to medications and the time interval was increased in 442 (36.68%) users. Conclusion and clinical relevance: Adherence to treatment is low. The relative efficacy of continuous vs on-demand treatment for allergic rhinitis symptoms is still a matter of debate. This study shows an approach for measuring retrospective adherence based on a mobile app. This also represents a novel approach for analysing medication-taking behaviour in a real-world setting
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