The study examined the cost effectiveness of 4 different regimens in reducing the prevalence and intensity of infection of Ascaris lumbricoides, Trichuris trichiura, and hookworm over an 18-mo period in randomized community samples of children aged 2-8 yr living in rural Bangladesh. The household was the unit of randomization in each community. The 4 regimens were (1) only chemotherapy to all household members at the commencement of the study (i.e., at an interval of 18 mo), (2) same as group (1) and regular health education throughout the study period, (3) chemotherapy to all household members at the commencement of the study and subsequent chemotherapy to all children at intervals of 6 mo, and (4) same as group 3 with the addition of regular health education throughout the study period. Health education (through home and school visits and focus group discussions) was aimed at increasing awareness of worm transmission and the disabilities caused by intestinal helminths. Simple ways of improving personal hygiene and sanitation through hand washing, nail trimming, wearing of shoes, and use of a latrine and clean water supplies were encouraged. Because albendazole is a broad spectrum anthelmintic, the cost effectiveness of the 4 interventions were compared by the weighted percentage reduction in prevalence and the weighted percentage reduction in intensities of infection as measured by geometric mean egg loads of all 3 worms combined. The most cost-effective strategy was the single albendazole mass chemotherapy at an interval of 18 mo. The 2 regimens involving health education were the least cost effective.
ObjectiveThe anti-inflammatory drug colchicine has recently shown benefits in the prevention of major adverse cardiovascular events (MACE) in patients with the acute coronary syndrome (ACS) and chronic coronary syndromes (CCS). This meta-analysis focuses on understanding Colchicine's effects on the high-sensitivity C-reactive protein (hs-CRP) to provide mechanistic insight to explain its clinical event reduction.Methods A computerized search of MEDLINE was conducted to retrieve journal articles with studies performed on humans from 1 January 2005 to 1 January 2022, using keywords: 'Colchicine AND Coronary', 'Colchicine AND CRP', and 'Colchicine AND Coronary Artery Disease'. Studies were included if they measured hs-CRP changes from baseline, and colchicine or placebo were given to patients with ACS or CCS. ResultsThirteen studies with a biomarker subgroup population of 1636 patients were included in the hs-CRP meta-analysis. Of those 13 studies, 8 studies with a total population of 6016 reported clinical events defined as myocardial infarction (MI), stroke, cardiovascular death, periprocedural MI, repeat angina after PCI and repeat revascularization. Multivariate analysis revealed a weak negative correlation of −0.1056 (P = 0.805) between change in CRP and clinical events. Overall, colchicine treatment resulted in a greater reduction in hs-CRP levels compared with placebo (Mean Difference: -1.59; 95% Confidence Interval, −2.40 to −0.79, P = 0.0001) and clinical events (Odds Ratio: 0.78; 95% Confidence Interval 0.64 to 0.95, P = 0.01) Conclusion Colchicine therapy is associated with a reduction in hs-CRP and clinical events in patients with ACS and CCS. This finding supports colchicine's antiinflammatory efficacy via CRP reduction to explain its clinical benefit.
Objectives: To report long-term outcomes of nonmelanoma skin cancer (NMSC) in immunosuppressed cardiac and liver transplant recipients (CLTR). Materials and Methods: The authors reviewed CLTR at the Mayo Clinic in Arizona from 1986 to 2013. Patient and tumor characteristics were recorded. Survival rates were calculated using the Kaplan-Meier method. Patient-specific and lesion-specific analyses were performed. Univariate and multivariate cox regressions were performed for comparisons. Results: Seven-hundred and forty-seven patients underwent cardiac (138) or liver (609) transplantation and of these, 97 patients (13%) developed 382 invasive NMSC. The median follow-up was 11 (range, 3 to 27) years for surviving patients. Primary treatment was mainly surgery alone. At 10 years, the local recurrence (LR) rate was 20% (95% confidence interval, 15%-28%), and 14% of patients had multiple LRs. At 10 years, LR rates were higher for T3/T4 tumors when compared with T1/T2 tumors (32.5% vs. 20%, P=0.05). At 10 years, overall survival was 79% (95% confidence interval, 64%-88%). On multivariate analysis, age 61 years and more demonstrated inferior overall survival (P<0.01). Conclusions: This is the first study describing the AJCC 8th edition stage-based patterns of recurrence and long-term outcomes of surgically managed NMSC in a large cohort of immunosuppressed CLTRs. T3 and T4 tumors recur more often than early stage tumors. Further study is required to identify factors related to recurrence and guide upfront treatment intensification in this high-risk population.
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The COVID-19 pandemic has fueled exponential growth in the adoption of remote delivery of primary, specialty, and urgent health care services. One major challenge is the lack of access to physical exam including accurate and inexpensive measurement of remote vital signs. Here we present a novel method for machine learning-based estimation of patient respiratory rate from audio. There exist non-learning methods but their accuracy is limited and work using machine learning known to us is either not directly useful or uses non-public datasets. We are aware of only one publicly available dataset which is small and which we use to evaluate our algorithm. However, to avoid the overfitting problem, we expand its effective size by proposing a new data augmentation method. Our algorithm uses the spectrogram representation and requires labels for breathing cycles, which are used to train a recurrent neural network for recognizing the cycles. Our augmentation method exploits the independence property of the most periodic frequency components of the spectrogram and permutes their order to create multiple signal representations. Our experiments show that our method almost halves the errors obtained by the existing (non-learning) methods.Clinical relevance-We achieve a Mean Absolute Error (MAE) of 1.0 for the respiratory rate while relying only on an audio signal of a patient breathing. This signal can be collected from a smartphone such that physicians can automatically and reliably determine respiratory rate in a remote setting.
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