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- 저자 : Ammar Zakaria (검색결과 2 건)
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Obesity may be erythropoietin dose-saving in hemodialysis patients
( Ghada M. El-kannishy ),( Abir F. Megahed ),( Mona M. Tawfik ),( Ghada El-said ),( Rabab T. Zakaria ),( Nahed A. Mohamed ),( Eman M. Taha ),( Alzhraa A. Ammar ),( Abeer M. Abd Eltawab ),( Nagy A. Say 대한신장학회 2018 Kidney Research and Clinical Practice Vol.37 No.2
Background: In dialysis patients, the obesity-survival paradox still requires an explanation. Anemia and high doses of erythropoiesis-stimulating agents (ESAs) are associated with worse outcomes in the hemodialysis (HD) population. In the present study, we explored the relation between obesity and anemia control in a sample of maintenance HD patients in Egypt. Methods: This multicenter observational study included 733 patients on maintenance HD from 9 hemodialysis centers in Egypt. Clinical and laboratory data as well as average doses of ESAs and parenteral iron were recorded. The erythropoietin resistance index (ERI) was calculated. Results: Obesity, defined as a body mass index (BMI) ≥ 30 kg/m<sup>2</sup>, was present in 22.6% of the studied population. The target hemoglobin level (10.0-11.5 g/dL) was achieved in 27.3% of non-obese and 25.3% of obese patients, with no significant difference. The median serum ferritin and the values of transferrin saturation index did not differ significantly between these two groups. The weekly ESA dose was significantly lower in obese than in non-obese patients (P = 0.0001). A trend toward higher ESA doses and ERI values was observed in patients with lower BMIs (P < 0.0001). Multiple linear regression revealed that the BMI and urea reduction ratio were the strongest predictors of the ERI. Conclusion: Our study adds more evidence to obesity-associated advantages in HD patients. BMI may determine ESA response, with better responses observed in patients with higher BMIs.
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A Design and Development of a Wireless Sensor Network for Potential Monitoring and Localization
Nurul Amira Mohd Ramli,Mohd Hafiz Fazalul Rahiman,Muhammad Faiz Abdul Malik,Latifah Munirah Kamarudin,Latifah Mohamed,Ammar Zakaria,Mohammed Saeed Moqbel Abdullah 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.6
This paper presents an analysis of the received signal strength indicator (RSSI) from the radio frequency signals for human identifi cation in an indoor wireless sensor network (WSN). Instead of using closed-circuit television as the existing security platform, this indoor safety system was improved with a convenient, cheap, and low-power solution. The system was developed using 20 of ESP8266-12F Wi-Fi modules transmitters and another 2 of ESP8266-12F as the access points located in 3 m × 3 m area of interest. With a suitable coordinate of sensor nodes, a WSN telemetry could be established to minimize the blind spot area and limit the movement of the intruder with a minimum area of 0.2 m 2 . The RSSI measurement was repeatedly conducted for three diff erent conditions, in an empty room, with the presence of a single intruder and the presence of multiple intruders. Based on the RSSI values, we found that there are distinctive features of data that can be utilized as fl ags for classifying the three above conditions. Besides that, to justify the effi ciency of system performance, we also examined the sensitivity of RSSI values towards the variation of temperature. Our results show that the RSSI average values for both morning and night were practically the same. However, during the afternoon, the RSSI signal strength fl uctuated by − 1.0 dBm. These results motivate the development of an alarm system that only uses the RSSI statistics to detect human presence.
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