The aim of the study is to compare the use of PSA testing among general practitioners (GPs).
The number of PSA tests ordered by general practitioners in the years 2008-2009 was examined in a ...cross-sectional study of nine health districts of Spain. The percentage of PSA ordered to men younger than 50 (PSA<50/PSAtotal) and 40 years (PSA<40/PSAtotal) was calculated. The percentage of men over 50 years who were attended was also calculated and this data was compared with the number of PSA ordered to this population. For two of the departments, these data were also compared between GPs and urologists.
PSA testing in 2009 is higher than 2008 in seven health districts. PSA testing in men younger than 50 years was increased along the period of the study and in men younger than 40 years remained steady. The differences between the values of the indicators for urologists and GPs are significant.
The number of PSA tests and the percentage performed to men younger 50 years has been increasing and the variability is high. These data are suggestive for interventions focused on PSA testing and prostate cancer screening in primary care settings.
To assess the pattern of glycosylated hemoglobin (HbA(1c)) requests by clinicians from eight health departments by calculating indicators of demand appropriateness.
A cross-sectional study of the ...number of HbA(1c) requests by primary care clinics in 2008 and 2009. The indicator of demand appropriateness was the proportion of HbA(1c) values lower than 6.5%. Variables were collected and indicators were automatically calculated. The number of HbA(1c) measurements that should theoretically have been requested according to known diabetes prevalence data was also calculated.
A progressive increase was seen in demand for HbA(1c) measurements. Approximately 54% of HbA(1c) values obtained in seven of the eight departments studied were lower than 6.5%. The number of theoretical HbA(1c) requests that would have been expected based on the known prevalence of diabetes was higher than the number of HbA(1c) requests in all departments.
The results appear to suggest that HbA(1c) requests by the health departments studied were not always appropriate. HbA(1c) measurements were probably overused in patients without diabetes and underused in patients with diabetes.
Abstract Objective To assess the pattern of glycosylated hemoglobin (HbA1c ) requests by clinicians from eight health care departments by calculating indicators of demand appropriateness. Methods A ...cross-sectional study of the number of HbA1c requests by primary care clinics in 2008 and 2009. The indicator of demand appropriateness was the proportion of HbA1c values lower than 6.5%. Variables were collected and indicators were automatically calculated. The number of HbA1c measurements that should theoretically have been requested according to known diabetes prevalence data was also calculated. Results A progressive increase was seen in the demand for HbA1c measurements. Approximately 54% of HbA1c values obtained in seven of the eight departments studied were lower than 6.5%. The number of theoretical HbA1c requests that would have been expected based on the known prevalence of diabetes was higher than the number of HbA1c requests in all departments. Conclusion The results appear to suggest that HbA1c requests in the health care departments studied were not always appropriate. HbA1c measurements were probably overused in patients without diabetes and underused in patients with diabetes.
There are many works devoted to improving the matrix product computation, as it is used in a wide variety of scientific applications arising from many different fields. In this work, we propose ...alternative data distribution policies and communication patterns to reduce the elapsed time when computing triangular matrix products in distributed memory environments. In particular, we focus on commodity clusters, where the number of nodes is limited, proposing alternatives to traditional approaches in order to improve this operation’s performance. Our proposal overcomes the performance results associated with the state-of-the-art libraries, such as ScaLAPACK and SLATE, offering execution times that are up to 30% faster.
More than 20% of hospitalized patients with COVID-19 demonstrate ARDS requiring ICU admission. The long-term respiratory sequelae in such patients remain unclear.
What are the major long-term ...pulmonary sequelae in critical patients who survive COVID-19?
Consecutive patients with COVID-19 requiring ICU admission were recruited and evaluated 3 months after hospitalization discharge. The follow-up comprised symptom and quality of life, anxiety and depression questionnaires, pulmonary function tests, exercise test (6-min walking test 6MWT), and chest CT imaging.
One hundred twenty-five patients admitted to the ICU with ARDS secondary to COVID-19 were recruited between March and June 2020. At the 3-month follow-up, 62 patients were available for pulmonary evaluation. The most frequent symptoms were dyspnea (46.7%) and cough (34.4%). Eighty-two percent of patients showed a lung diffusing capacity of less than 80%. The median distance in the 6MWT was 400 m (interquartile range, 362-440 m). CT scans showed abnormal results in 70.2% of patients, demonstrating reticular lesions in 49.1% and fibrotic patterns in 21.1%. Patients with more severe alterations on chest CT scan showed worse pulmonary function and presented more degrees of desaturation in the 6MWT. Factors associated with the severity of lung damage on chest CT scan were age and length of invasive mechanical ventilation during the ICU stay.
Three months after hospital discharge, pulmonary structural abnormalities and functional impairment are highly prevalent in patients with ARDS secondary to COVID-19 who required an ICU stay. Pulmonary evaluation should be considered for all critical COVID-19 survivors 3 months after discharge.
Computational platforms for high-performance scientific applications are becoming more heterogenous, including hardware accelerators such as multiple GPUs. Applications in a wide variety of ...scientific fields require an efficient and careful management of the computational resources of this type of hardware to obtain the best possible performance. However, there are currently different GPU vendors, architectures and families that can be found in heterogeneous clusters or machines. Programming with the vendor provided languages or frameworks, and optimizing for specific devices, may become cumbersome and compromise portability to other systems. To overcome this problem, several proposals for high-level heterogeneous programming have appeared, trying to reduce the development effort and increase functional and performance portability, specifically when using GPU hardware accelerators. This paper evaluates the SYCL programming model, using the Open SYCL compiler, from two different perspectives: The performance it offers when dealing with single or multiple GPU devices from the same or different vendors, and the development effort required to implement the code. We use as case of study the Finite Time Lyapunov Exponent calculation over two real-world scenarios and compare the performance and the development effort of its Open SYCL-based version against the equivalent versions that use CUDA or HIP. Based on the experimental results, we observe that the use of SYCL does not lead to a remarkable overhead in terms of the GPU kernels execution time. In general terms, the Open SYCL development effort for the host code is lower than that observed with CUDA or HIP. Moreover, the SYCL version can take advantage of both CUDA and AMD GPU devices simultaneously much easier than directly using the vendor-specific programming solutions.
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