30 research outputs found

    Plantas medicinais de um remascente de Floresta Ombrófila Mista Altomontana, Urupema, Santa Catarina, Brasil

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    Fatigue in Ankylosing Spondylitis: Treatment Should Focus on Pain Management

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    OBJECTIVES: Fatigue is an important symptom associated with ankylosing spondylitis (AS). This study examines patients' perspectives and clinical associations of fatigue to help inform potential strategies to alleviate fatigue in AS.METHODS: A mixed methods approach was taken to examine fatigue in a cohort of people with AS. Fatigue levels were evaluated from 3 consecutive monthly questionnaires. Open-ended questions on fatigue were analyzed using thematic analysis and logistic regression was used to examine quantitative data. In addition, fatigue levels were examined before and after treatment with anti-tumor necrosis factor (TNF) compared to nontreated controls.RESULTS: Three hundred forty-eight of 385 participants completed a fatigue questionnaire. Fatigue was reported to have significant physical, social, and psychological effects. A third of the participants reported that there was nothing they could do to reduce their fatigue, whereas other participants reported that medication, exercise, and resting helped. The main factor associated with fatigue was pain [β-coefficient: 0.74 (95% CI: 0.66 to 0.81)], whereas depression was much less strongly associated. However, these factors only explained 40% of the variation in fatigue levels. Starting anti-TNF therapy reduced fatigue and pain levels compared to the period of time before taking anti-TNF [difference: 14.4 (95% CI: 5.3 to 23.5) on a scale of 0-100] and this reduction was not seen in controls over the same period.CONCLUSIONS: Fatigue is not strongly associated with anxiety, motivation, and depression; instead the factor most associated with fatigue is pain. This suggests that in addition to treatments to reduce disease activity, strategies for alleviating fatigue in AS should focus on pain management techniques and actively treating inflammation

    Risk of Bias in Randomized Clinical Trials Comparing Transcatheter and Surgical Aortic Valve Replacement: A Systematic Review and Meta-analysis.

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    Recent European Society of Cardiology/European Association for Cardio-Thoracic Surgery (ESC/EACTS) guidelines highlighted some concerns about the randomized clinical trials (RCTs) comparing transcatheter aortic valve implantation (TAVI) and surgical aortic valve replacement (SAVR) for aortic stenosis. Quantification of these biases has not been previously performed. To assess whether randomization protects RCTs comparing TAVI and SAVR from biases other than nonrandom allocation. A systematic review of the literature between January 1, 2007, and June 6, 2022, on MEDLINE, Embase, and Cochrane Central Register of Controlled Trials was performed. Specialist websites were also checked for unpublished data. The study included RCTs with random allocation to TAVI or SAVR with a maximum 5-year follow-up. Data extraction was performed by 2 independent investigators following the PRISMA guidelines. A random-effects meta-analysis was used for quantifying pooled rates and differential rates between treatments of deviation from random assigned treatment (DAT), loss to follow-up, and receipt of additional treatments. The primary outcomes were the proportion of DAT, loss to follow-up, and patients who were provided additional treatments and myocardial revascularization, together with their ratio between treatments. The measures were the pooled overall proportion of the primary outcomes and the risk ratio (RR) in the TAVI vs SAVR groups. The search identified 8 eligible trials including 8849 participants randomly assigned to undergo TAVI (n = 4458) or SAVR (n = 4391). The pooled proportion of DAT among the sample was 4.2% (95% CI, 3.0%-5.6%), favoring TAVI (pooled RR vs SAVR, 0.16; 95% CI, 0.08-0.36; P < .001). The pooled proportion of loss to follow-up was 4.8% (95% CI, 2.7%-7.3%). Meta-regression showed a significant association between the proportion of participants lost to follow-up and follow-up time (slope, 0.042; 95% CI, 0.017-0.066; P < .001). There was an imbalance of loss to follow-up favoring TAVI (RR, 0.39; 95% CI, 0.28-0.55; P < .001). The pooled proportion of patients who had additional procedures was 10.4% (95% CI, 4.4%-18.5%): 4.6% (95% CI, 1.5%-9.3%) in the TAVI group and 16.5% (95% CI, 7.5%-28.1%) in the SAVR group (RR, 0.27; 95% CI, 0.15-0.50; P < .001). The imbalance between groups also favored TAVI for additional myocardial revascularization (RR, 0.40; 95% CI, 0.24-0.68; P < .001). This study suggests that, in RCTs comparing TAVI vs SAVR, there are substantial proportions of DAT, loss to follow-up, and additional procedures together with systematic selective imbalance in the same direction characterized by significantly lower proportions of patients undergoing TAVI that might affect internal validity

    Occupation and Breast Cancer: a Canadian Case-Control Study

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    A local collaborative process was launched in Windsor, Ontario, Canada to explore the role of occupation as a risk factor for cancer. An initial hypothesis-generating study found an increased risk for breast cancer among women aged 55 years or younger who had ever worked in farming. On the basis of this result, a 2-year case-control study was undertaken to evaluate the lifetime occupational histories of women with breast cancer. The results indicate that women with breast cancer were nearly three times more likely to have worked in agriculture when compared to the controls (OR = 2.80 [95% CI, 1.6-4.8]). The risk for those who worked in agriculture and subsequently worked in automotive-related manufacturing was further elevated (OR = 4.0 [95% CI, 1.7-9.9]). The risk for those employed in agriculture and subsequently employed in health care was also elevated (OR = 2.3 [95% CI, 1.1-4.6]). Farming tended to be among the earlier jobs worked, often during adolescence. While this article has limitations including the small sample size and the lack of information regarding specific exposures, it does provide evidence of a possible association between farming and breast cancer. The findings indicate the need for further study to determine which aspects of farming may be of biological importance and to better understand the significance of timing of exposure in terms of cancer risk
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