13 research outputs found

    Risk profiles and one-year outcomes of patients with newly diagnosed atrial fibrillation in India: Insights from the GARFIELD-AF Registry.

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    BACKGROUND: The Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF) is an ongoing prospective noninterventional registry, which is providing important information on the baseline characteristics, treatment patterns, and 1-year outcomes in patients with newly diagnosed non-valvular atrial fibrillation (NVAF). This report describes data from Indian patients recruited in this registry. METHODS AND RESULTS: A total of 52,014 patients with newly diagnosed AF were enrolled globally; of these, 1388 patients were recruited from 26 sites within India (2012-2016). In India, the mean age was 65.8 years at diagnosis of NVAF. Hypertension was the most prevalent risk factor for AF, present in 68.5% of patients from India and in 76.3% of patients globally (P < 0.001). Diabetes and coronary artery disease (CAD) were prevalent in 36.2% and 28.1% of patients as compared with global prevalence of 22.2% and 21.6%, respectively (P < 0.001 for both). Antiplatelet therapy was the most common antithrombotic treatment in India. With increasing stroke risk, however, patients were more likely to receive oral anticoagulant therapy [mainly vitamin K antagonist (VKA)], but average international normalized ratio (INR) was lower among Indian patients [median INR value 1.6 (interquartile range {IQR}: 1.3-2.3) versus 2.3 (IQR 1.8-2.8) (P < 0.001)]. Compared with other countries, patients from India had markedly higher rates of all-cause mortality [7.68 per 100 person-years (95% confidence interval 6.32-9.35) vs 4.34 (4.16-4.53), P < 0.0001], while rates of stroke/systemic embolism and major bleeding were lower after 1 year of follow-up. CONCLUSION: Compared to previously published registries from India, the GARFIELD-AF registry describes clinical profiles and outcomes in Indian patients with AF of a different etiology. The registry data show that compared to the rest of the world, Indian AF patients are younger in age and have more diabetes and CAD. Patients with a higher stroke risk are more likely to receive anticoagulation therapy with VKA but are underdosed compared with the global average in the GARFIELD-AF. CLINICAL TRIAL REGISTRATION-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01090362

    Probiotics, immune function, infection and inflammation: a review of the evidence from studies conducted in humans.

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    A number of studies have been performed examining the influence of various probiotic organisms, either alone or in combination, on immune parameters, infectious outcomes, and inflammatory conditions in humans. Some components of the immune response, including phagocytosis, natural killer cell activity and mucosal immunoglobulin A production (especially in children), can be improved by some probiotic bacteria. Other components, including lymphocyte proliferation, the production of cytokines and of antibodies other than immunoglobulin A appear less sensitive to probiotics. Probiotics, including lactobacilli and bifidobacteria, administered to children can reduce incidence and duration of diarrhoea, but the precise effects depend upon the nature of the condition. Probiotic supplementation can reduce the risk of travellers' diarrhoea in adults, but does not affect duration. The effect of probiotics on other infectious outcomes is less clear. Probiotics may benefit children and adults with irritable bowel syndrome and adults with ulcerative colitis; studies in Crohn's Disease are less clear. Probiotics have little effect in rheumatoid arthritis. Probiotic supplementation, especially with lactobacilli and bifidobacteria, can reduce risk and severity of allergic disease, particular atopic dermatitis; early supplementation appears to be effective. Overall, the picture that emerges from studies of probiotics on immune, infectious and inflammatory outcomes in humans is mixed and there appear to be large species and strain differences in effects seen. Other reasons for differences in effects seen will include dose of probiotic organism used, duration of supplementation, characteristics of the subjects studied, sample size, and technical differences in how the measurements were mad

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