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
目的探讨外周血红细胞分布宽度(red blood cell distribution width,RDW)、系统免疫炎症指数(systemic immune-inflammation index,SⅡ)与重性抑郁障碍(major depressive disorder,MDD)的相关性。方法回顾性分析2020-2022年于我院临床...目的探讨外周血红细胞分布宽度(red blood cell distribution width,RDW)、系统免疫炎症指数(systemic immune-inflammation index,SⅡ)与重性抑郁障碍(major depressive disorder,MDD)的相关性。方法回顾性分析2020-2022年于我院临床心理科住院的176例MDD患者和常规体检的209例非MDD对照者的临床资料。从血液分析结果中,得到RDW、SⅡ、红细胞分布宽度与血小板计数比值(RDW to platelet ratio,RPR)。绘制受试者操作特征(receiver operator characteristic,ROC)曲线以确定RDW区分患者与对照的最佳临界值及曲线下面积(area under the curve,AUC)。结果MDD组患者的RDW[中位数及四分位数:13.20(12.70,13.98)vs.12.80(12.40,13.35)]、SⅡ水平[中位数及四分位数:510.87(350.95,878.12)vs.405.33(313.74,539.92)]高于非MDD组对照者,差异有统计学意义(P<0.05),两组间RPR差异无统计学意义(P>0.05)。多因素logistic回归分析结果显示,调整混杂因素后,RDW与MDD呈正关联(OR=3.086,95%CI:1.926~4.944)。ROC曲线结果显示,RDW区分MDD与非MDD的最佳临界值为12.85,AUC为0.647(95%CI:0.592~0.702;P<0.001)。结论高RDW可能是MDD发生的危险因素,是对MDD诊断有价值的重要参数。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
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.
文摘目的探讨外周血红细胞分布宽度(red blood cell distribution width,RDW)、系统免疫炎症指数(systemic immune-inflammation index,SⅡ)与重性抑郁障碍(major depressive disorder,MDD)的相关性。方法回顾性分析2020-2022年于我院临床心理科住院的176例MDD患者和常规体检的209例非MDD对照者的临床资料。从血液分析结果中,得到RDW、SⅡ、红细胞分布宽度与血小板计数比值(RDW to platelet ratio,RPR)。绘制受试者操作特征(receiver operator characteristic,ROC)曲线以确定RDW区分患者与对照的最佳临界值及曲线下面积(area under the curve,AUC)。结果MDD组患者的RDW[中位数及四分位数:13.20(12.70,13.98)vs.12.80(12.40,13.35)]、SⅡ水平[中位数及四分位数:510.87(350.95,878.12)vs.405.33(313.74,539.92)]高于非MDD组对照者,差异有统计学意义(P<0.05),两组间RPR差异无统计学意义(P>0.05)。多因素logistic回归分析结果显示,调整混杂因素后,RDW与MDD呈正关联(OR=3.086,95%CI:1.926~4.944)。ROC曲线结果显示,RDW区分MDD与非MDD的最佳临界值为12.85,AUC为0.647(95%CI:0.592~0.702;P<0.001)。结论高RDW可能是MDD发生的危险因素,是对MDD诊断有价值的重要参数。
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.
