Clinical assessment of fluid volume status in children during malaria can be taxing and often inaccurate. During malaria, changes in fluid volume are rather multifarious and estimating this parameter, especially in si...Clinical assessment of fluid volume status in children during malaria can be taxing and often inaccurate. During malaria, changes in fluid volume are rather multifarious and estimating this parameter, especially in sick children is very challenging for clinicians who frequently rely on indices such as long capillary refill times, tachycardia, central venous pressure and decreased urine volume as guides. Here, we present the UHAS-MIDA, an open-source software tool that calculates the red blood cell (RBC) concentration and blood volume during malaria in children determined using a stable isotope of chromium (<sup>53</sup>Cr as the label) by gas chromatography-mass spectrometry in selective ion monitoring (GC/MS-SIM) analysis. A key component involves the determination of the compositions of the most abundant naturally occurring isotopes of Cr (<sup>50</sup>Cr, <sup>52</sup>Cr, <sup>53</sup>Cr), and converting the proportions into a 3 × 3 matrix. To estimate unknown proportions of chromium isotopic mixtures from the measured abundances of three ions, an inverse matrix was calculated. The inverse together with several inputs is then used to calculate the corrected MS ion abundances. Thus, we constructed the software tool UHAS- MIDA using HTML, CSS/Bootstrap, JavaScript, and PHP scripting languages. The tool enables the user to efficiently determine RBC concentration and fluid volume. The source code, binary packages and associated materials for UHAS-MIDA are freely available at https://github.com/bentil078/Abaye-et-al_UHASmida展开更多
BACKGROUND Acute kidney injury(AKI)after liver transplantation(LT)is a frequent and multifactorial event related to increased morbidity and mortality.Risk factors for AKI after LT still need to be clarified.AIM To ide...BACKGROUND Acute kidney injury(AKI)after liver transplantation(LT)is a frequent and multifactorial event related to increased morbidity and mortality.Risk factors for AKI after LT still need to be clarified.AIM To identify the predictors of acute kidney injury after liver transplantation.METHODS The frequency and pre-and intraoperative predictors of AKI within the first 7 d after LT were evaluated in adult liver transplant candidates in a single LT center in Croatia.AKI was defined according to the Kidney Disease:Improving Global Outcomes criteria.RESULTS Out of 205 patients(mean age 57±10 years;73.7%males,52.7%with alcoholrelated liver disease)93(45.36%)developed AKI,and the majority of them(58.06%)had stage 1.Only 5.38%of patients required renal replacement therapy after LT.The majority of patients(82.8%)developed AKI within the first two days after the procedure.Multivariate logistic regression identified pre-LT body mass index(OR=1.1,95%CI:1.05-1.24)and red blood cell transfusion(OR=1.66,95%CI:1.09-2.53)as independent predictors of early post-LT AKI occurrence.30-d survival after LT was significantly better for patients without AKI(P=0.01).CONCLUSION Early AKI after LT is a frequent event that negatively impacts short-term survival.The pathogenesis of AKI is multifactorial,but pre-LT BMI and intraoperative volume shifts are major contributors.展开更多
The present study aimed to estimate the occurrence of Iron Deficiency anemia (IDA) in school and college going students (aged 11 - 18 years). Anemia is the most public health problem in school age children. It has a w...The present study aimed to estimate the occurrence of Iron Deficiency anemia (IDA) in school and college going students (aged 11 - 18 years). Anemia is the most public health problem in school age children. It has a wide range of adverse results involving, poor cognitive performance, poor development of infants, preschool and school-aged children. Anemia also causes the impairment of physical capacity, work performance of adolescents and adults, reduction in immune competence and increased morbidity from infections in all age groups. Our study based on 1686 volunteers was randomly selected from different Government High schools and colleges. A Questionnaire was utilized for data collection. BMI was also calculated by dividing weight in kg by the square of height in meters. Hemoglobin (Hb), Hematocrite (Hct), Mean Corpuscular volume (MCV), Mean Corpuscular hemoglobin concentration (MCHC), white blood cell (WBC) and red blood cell was examined using Sysmex kx-21N hemoglobin auto analyzer (Hedwin, 2008). The total percentage of anaemic students (43.1%) and non-anaemic (56.9%) were observed in district Shaheed Benazirabad. The mean Hb level of anaemic students (11.1 ± 4.94) was observed. In males (12.7%) and females (30.4%) anemic was observed. The prevalence of anemia high (16.2%) was observed in the age of 14 - 16 years. The majority of anemic patients (30.2%) belonged to low income group. Area wise prevalence, in rural areas 27.8% and urban areas 15.3% volunteers anaemic was observed. Taluka wise occurrence of anaemia in taluka Sakrand was (14.6%), in taluka Kazi Ahmed (15.0%), in taluka Daur (8.0%) and in taluka Nawabshah was (5.5%). Clinically signs and symptoms showed, pale skin 57.7% and weakness 42.3% were observed in school children.展开更多
文摘Clinical assessment of fluid volume status in children during malaria can be taxing and often inaccurate. During malaria, changes in fluid volume are rather multifarious and estimating this parameter, especially in sick children is very challenging for clinicians who frequently rely on indices such as long capillary refill times, tachycardia, central venous pressure and decreased urine volume as guides. Here, we present the UHAS-MIDA, an open-source software tool that calculates the red blood cell (RBC) concentration and blood volume during malaria in children determined using a stable isotope of chromium (<sup>53</sup>Cr as the label) by gas chromatography-mass spectrometry in selective ion monitoring (GC/MS-SIM) analysis. A key component involves the determination of the compositions of the most abundant naturally occurring isotopes of Cr (<sup>50</sup>Cr, <sup>52</sup>Cr, <sup>53</sup>Cr), and converting the proportions into a 3 × 3 matrix. To estimate unknown proportions of chromium isotopic mixtures from the measured abundances of three ions, an inverse matrix was calculated. The inverse together with several inputs is then used to calculate the corrected MS ion abundances. Thus, we constructed the software tool UHAS- MIDA using HTML, CSS/Bootstrap, JavaScript, and PHP scripting languages. The tool enables the user to efficiently determine RBC concentration and fluid volume. The source code, binary packages and associated materials for UHAS-MIDA are freely available at https://github.com/bentil078/Abaye-et-al_UHASmida
基金Supported by the Croatian Science Foundation grant“The Role of Notch Signalling Pathway in Pathogenesis of Hepatic Fibrosis”,No.UIP-2017-05-1965.
文摘BACKGROUND Acute kidney injury(AKI)after liver transplantation(LT)is a frequent and multifactorial event related to increased morbidity and mortality.Risk factors for AKI after LT still need to be clarified.AIM To identify the predictors of acute kidney injury after liver transplantation.METHODS The frequency and pre-and intraoperative predictors of AKI within the first 7 d after LT were evaluated in adult liver transplant candidates in a single LT center in Croatia.AKI was defined according to the Kidney Disease:Improving Global Outcomes criteria.RESULTS Out of 205 patients(mean age 57±10 years;73.7%males,52.7%with alcoholrelated liver disease)93(45.36%)developed AKI,and the majority of them(58.06%)had stage 1.Only 5.38%of patients required renal replacement therapy after LT.The majority of patients(82.8%)developed AKI within the first two days after the procedure.Multivariate logistic regression identified pre-LT body mass index(OR=1.1,95%CI:1.05-1.24)and red blood cell transfusion(OR=1.66,95%CI:1.09-2.53)as independent predictors of early post-LT AKI occurrence.30-d survival after LT was significantly better for patients without AKI(P=0.01).CONCLUSION Early AKI after LT is a frequent event that negatively impacts short-term survival.The pathogenesis of AKI is multifactorial,but pre-LT BMI and intraoperative volume shifts are major contributors.
文摘The present study aimed to estimate the occurrence of Iron Deficiency anemia (IDA) in school and college going students (aged 11 - 18 years). Anemia is the most public health problem in school age children. It has a wide range of adverse results involving, poor cognitive performance, poor development of infants, preschool and school-aged children. Anemia also causes the impairment of physical capacity, work performance of adolescents and adults, reduction in immune competence and increased morbidity from infections in all age groups. Our study based on 1686 volunteers was randomly selected from different Government High schools and colleges. A Questionnaire was utilized for data collection. BMI was also calculated by dividing weight in kg by the square of height in meters. Hemoglobin (Hb), Hematocrite (Hct), Mean Corpuscular volume (MCV), Mean Corpuscular hemoglobin concentration (MCHC), white blood cell (WBC) and red blood cell was examined using Sysmex kx-21N hemoglobin auto analyzer (Hedwin, 2008). The total percentage of anaemic students (43.1%) and non-anaemic (56.9%) were observed in district Shaheed Benazirabad. The mean Hb level of anaemic students (11.1 ± 4.94) was observed. In males (12.7%) and females (30.4%) anemic was observed. The prevalence of anemia high (16.2%) was observed in the age of 14 - 16 years. The majority of anemic patients (30.2%) belonged to low income group. Area wise prevalence, in rural areas 27.8% and urban areas 15.3% volunteers anaemic was observed. Taluka wise occurrence of anaemia in taluka Sakrand was (14.6%), in taluka Kazi Ahmed (15.0%), in taluka Daur (8.0%) and in taluka Nawabshah was (5.5%). Clinically signs and symptoms showed, pale skin 57.7% and weakness 42.3% were observed in school children.
基金supported by the Major Projects of Shanghai (15DZ1207500-2)the National Natural Science Foundation of China (81302613)+2 种基金Shanghai Technical Standards Special Foundation (13DZ0503001)the Council of Shanghai Key Laboratory of Forensic Medicine (14DZ2270800)the Grants from the National Key Technology R&D Program of the Ministry of Science and Technology of the People’s Republic of China (2012BAK16B02)
