1.MRI characteristics of primary dilated cardiomyopathy and isolated left ventricular non-compaction
Xiaorong CHEN ; Jin'er SHU ; Yonghao PAN ; Hongjie HU ;
Chinese Journal of Medical Imaging Technology 2017;33(8):1139-1142
Objective To explore the MRI characterisitics of primary dilated cardiomyopathy and isolated left ventricular non-compaction.Methods The patients who were diagnosed as primary dilated cardiomyopathy (n=18) and isolated left ventricular non-compaction (n=10) were enrolled,and the MRI was performed.The thickness of non-compaction myocardium (NC),compaction myocardium (C) in end-diastole,the feature of movement of myocardium,the number of non-compaction segment,the fraction shortening of non-compaction and the distribution were compared.Results Totally 823 segments were analyzed in primary dilated cardiomyopathy,in which 124 segments were non-compaction myocardium;397 segments were analyzed in isolated left ventricular non-compaction,in which 115 segments were non-compaction myocardium.The NC,NC/C,NC/(NC+C),and the fraction shortening of the isolated left ventricular non-compaction patients were higher than those of primary dilated cardiomyopathy patients (all P<0.05).The features of distribution showed that the apical segment was mostly involved,and the basal segment was less involved or hardly involved.The anterior and lateral segments were more involved in the free wall,the septal was less involved.Conclusion The MRI characteristics of primary dilated cardiomyopathy and isolated left ventricular non-compaction are different,especially in the distribution,non compacted segments,NC and NC/C,which is important for diagnosis and differential diagnosis of the two diseases.
2.Correlation analysis between renal ectopic fat deposition and early diabetic kidney disease
Jianjun HUA ; Wenting YANG ; Huaying HUANG ; Yonghao PAN ; Sisi WANG ; Mingliang YING
Chinese Journal of Diabetes 2024;32(5):352-356
Objective To investigate the value of iterative decomposition of water and fat with echo asymmetry and least-squares(IDEAL-IQ)sequence in evaluating the correlation between renal ectopic fat deposition and early diabetic kidney disease(DKD)in patients with diabetes mellitus(DM).Methods A total of 51 patients with T1DM or T2DM were enrolled in this study from the Endocrinology and Metabolism Department in Affiliated Jinhua Hospital,Zhejiang University School of Medicine during January 2022 to July 2023.All the patients were divided into two groups according to the results of urine albumin creatinine ratio(UACR):normal or slightly increased urinary micro albumin group(NAU,UACR<30 mg/g,n=27)and diabetic kidney disease group(DKD,UACR 30~300 mg/g,n=24).Meanwhile,55 healthy subjects in health examination were selected as control group(NC).Pearson correlation analysis was used to analyze the correlation between renal FF and other indicators.Logistic regression analysis was used to analyze the influencing factors of early DKD,and the diagnostic efficiency of renal FF for early DKD was analyzed by the ROC curve.Results Serum creatinine(Scr)and renal fat fraction(FF)value were higher in DKD group than in NC and NAU groups(P<0.05).Pearson correlation analysis showed that kidney FF were positively correlated with UACR and Hcy(P<0.05).Logistic regression analysis showed that after adjusting for confounding factors,renal FF was a contributing factor to early DKD.The ROC curve revealed that model 2 had the highest diagnostic efficiency,with AUC=0.801,sensitivity of 66.7%,specificity of 85.2%,accuracy of 80.0%,and a renal FF cut-off value was 2.46%.Conclusion IDEAL-IQ could non-invasively measure the renal fat content in DM patients,and the renal FF were significantly associated with DKD in early stage.
3.Expert consensus on the diagnosis and treatment of severe and critical coronavirus disease 2019.
You SHANG ; Jianfeng WU ; Jinglun LIU ; Yun LONG ; Jianfeng XIE ; Dong ZHANG ; Bo HU ; Yuan ZONG ; Xuelian LIAO ; Xiuling SHANG ; Renyu DING ; Kai KANG ; Jiao LIU ; Aijun PAN ; Yonghao XU ; Changsong WANG ; Qianghong XU ; Xijing ZHANG ; Jicheng ZHANG ; Ling LIU ; Jiancheng ZHANG ; Yi YANG ; Kaijiang YU ; Xiangdong GUAN ; Dechang CHEN
Chinese Medical Journal 2022;135(16):1913-1916
Humans
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COVID-19
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Consensus
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SARS-CoV-2
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China