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Evaluation associated with weakening of bones knowledge among adult Saudi women participating in family members medicine section in Stability Causes Medical center, Riyadh, Saudi Arabia.
Background In this study, we aimed to investigate frequency, patterns, etiologies, and costs of unplanned readmissions after left ventricular assist device implantation. Methods Between April 2012 and September 2016, 99 unplanned readmissions of a total of 50 consecutive bridge-to-transplant patients (45 males, 5 females; mean age 46.9±10.3 years; range, 19 to 67 years) who were successfully discharged after left ventricular assist device implantation were retrospectively analyzed. Patient demographic data, hemodynamic measurements before implantation, and readmissions after discharge were recorded. Hospitalizations due to major problems which were unable to be managed in routine outpatient clinic were accepted as unplanned readmissions. Survival analysis was performed. Results The readmission rate was 1.7 per year after discharge. check details Survival of patients who were readmitted within the first 90 days was found to be significantly lower than those without early readmission. The most common reasons of readmissions during follow-up were major infection (23.2%), neurological dysfunction (22.2%), cardiac causes (12.1%), bleeding (11.1%), and device malfunction (10.1%). Neurological dysfunctions (82,005 USD) and device malfunctions (73,300 USD) caused the highest economic burden. Conclusion Among patients with a left ventricular assist device, hospital readmissions are common. Development of preventive strategies as well as effective treatment methods focused on longterm adverse events is critical to reduce the frequency and costs of hospital readmissions. Copyright © 2020, Turkish Society of Cardiovascular Surgery.Among valve-sparing aortic root replacement techniques developed for the treatment of aortic root aneurysms and aortic insufficiency, the reimplantation technique (the David procedure) has proved to provide excellent outcomes in experienced hands. However, it involves certain challenges in technical standardization, particularly for graft sizing, which is still far from standardization. A novel device was developed to facilitate and provide all the measurements in high precision and accuracy required for the David procedure. The device allows easy, rapid, and accurate acquisition of the patient"s data and appropriate configuration of the aortic valve, irrespective of the surgeon's subjective evaluations. This all-in-one device provides all the major parameters including graft size, effective height, graft preparation, and simulation of the aortic coaptation. The device was successfully tested on a Devotini aortic root simulator and on a bovine heart ex vivo. The device proposed herein to be used for reimplantation has one explicit advantage all valve geometry to be reconstructed and repaired can be simulated on the device with all its elements, in particular, the commissures and the cusps. Thus, all that is necessary can be clearly visualized in a manner whatever the configuration the surgeon prefers, particularly the creation of the effective height. Copyright © 2020, Turkish Society of Cardiovascular Surgery.Infective endocarditis (IE) is rare, but associated with significant morbidity and mortality rates. Estimates of the incidence of IE in Turkey are compromised by the absence of population-based prospective studies. Due to the frequent presence of predisposing cardiac conditions and higher rates of nosocomial bacteremia in highrisk groups, the incidence of IE is expected to be higher in Turkey. Additionally, while IE generally affects older people in developed countries, it still affects young people in Turkey. In order to reduce the mortality and morbidity, it is critical to diagnose the IE to determine the causative agent and to start treatment rapidly. However, most of the patients cannot be diagnosed in their first visits, about half of them can be diagnosed after three months, and the disease often goes unnoticed. In patients diagnosed with IE, the rate of identification of causative organisms is significantly lower in Turkey than in developed countries. Furthermore, most of the centers do not perform somght of current information and local data in Turkey. Copyright © 2020, Turkish Society of Cardiovascular Surgery.[This corrects the article DOI 10.1007/s13534-019-00116-w.]. © Korean Society of Medical and Biological Engineering 2019.A typical diagnosis of malignant melanoma involves three major steps segmentation of a lesion from the input color image, feature extraction from the separated lesion, and classification to distinguish malignant from benign melanomas based on features obtained. We suggest new methods for segmentation, feature extraction, and classification compared. We replaced edge-imfill method with U-Otsu method for segmentation, the previous features with new features for the criteria ABCD (asymmetry, border irregularity, color variegation, diameter) criteria, and the median thresholding with weighted receiver operating characteristic thresholding for classification. We used 88 melanoma images and expert's segmentation. All the three steps in the suggested method were compared with the steps in the previous method, with respect to sensitivity, specificity, and accuracy of the 88 samples. For segmentation, the previous and the suggested segmentations were also compared assuming the skin cancer expert's segmentation as a ground truth. All three steps resulted in remarkable improvement in the suggested method. © Korean Society of Medical and Biological Engineering 2019.This letter describes a developed wireless sensor network based on a proposed algorithm for monitoring the environmental parameters in healthcare intentions. This proposed algorithm contains a frame with different packets that are implemented on the developed wireless sensor network. The developed wireless sensor network consists of one central node as well as four sensor node that has been equipped with various sensors such as temperature, humidity, CO, CO2, and passive infrared sensor. In order to test the presented algorithm and the developed wireless sensor network, the sensor nodes are situated in four different rooms in a hospital for recording essential parameters of the environment while the central node is put in the nurse station for warning to nurses. The obtained result of the proposed sensor nodes in comparison to gold standards shows root mean square error 1.1%, 0.35 ∘ C , 0.98% for humidity, temperature and gas, respectively. Also, the obtained results illustrate that the system gives accurate feedback from environmental temperature, humidity, and CO, and CO2 to the nurse station in order to increases the possibility of a healthy environment condition for patients.
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