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| 1 | MELD score,insulin-like growth factor 1 and cytokines on bone density in end-stage liver disease显示文摘AIM:To determine the contributions of insulin-like growth factor 1 (IGF-1),cytokines and liver disease severity to bone mineral density in patients pre-transplantation.METHODS:Serum IGF-1,tumor necrosis factor-α (TNFα) and interleukin 6 (IL-6) were measured and the Model for End-Stage Liver Disease (MELD) score calculated in 121 adult patients referred to a single centre for liver transplantation.Bone mineral density (BMD) of the lumbar spine and femoral neck were assessed via dual energy X-ray absorptiometry.Demographics,liver disease etiology,medication use and relevant biochemistry were recorded.RESULTS:A total of 117 subjects were included,with low BMD seen in 68.6%,irrespective of disease etiol-ogy.In multivariable analysis,low body mass index (BMI),increased bone turnover and low IGF-1 were independent predictors of low spinal bone density.At the hip,BMI,IGF-1 and vitamin D status were predictive.Despite prevalent elevations of TNFα and IL-6,levels did not correlate with degree of bone loss.The MELD score failed to predict low BMD in this pre-transplant population.CONCLUSION:Osteopenia/osteoporosis is common in advanced liver disease.Low serum IGF-1 is weakly predictive but serum cytokine and MELD score fail to predict the severity of bone disease. | Rebecca Mitchell Jill McDermid Mang M Ma Constance L Chik | 2011 | World Journal of Hepatology2011，3，6： | 5 |
| 2 | Lactobacillus rhamnosus GG reduces hepatic TNFα production and inflammation in chronic alcohol-induced liver injury显示文摘 | Yuhua Wang Yanlong Liu Irina Kirpich Zhenhua Ma Cuiling Wang Min Zhang Jill Suttles Craig McClain Wenke Feng | 2013 | The Journal of Nutritional Biochemistry2013，，： | 4 |
| 3 | Risk stratification in symptomatic intracranial atherosclerotic disease with conventional vascular risk factors and cerebral haemodynamics显示文摘Background and purpose Symptomatic intracranial atherosclerotic stenosis(sICAS)is associated with a considerable risk of recurrent stroke despite contemporarily optimal medical treatment.Severity of luminal stenosis in sICAS and its haemodynamic significance quantified with computational fluid dynamics(CFD)models were associated with the risk of stroke recurrence.We aimed to develop and compare stroke risk prediction nomograms in sICAS,based on vascular risk factors and these metrics.Methods Patients with 50%-99%sICAS confirmed in CT angiography(CTA)were enrolled.Conventional vascular risk factors were collected.Severity of luminal stenosis in sICAS was dichotomised as moderate(50%-69%)and severe(70%-99%).Translesional pressure ratio(PR)and wall shear stress ratio(WSSR)were quantified via CTA-based CFD modelling;the haemodynamic status of sICAS was classified as normal(normal PR&WSSR),intermediate(otherwise)and abnormal(abnormal PR&WSSR).All patients received guideline-recommended medical treatment.We developed and compared performance of nomograms composed of these variables and independent predictors identified in multivariate logistic regression,in predicting the primary outcome,recurrent ischaemic stroke in the same territory(SIT)within 1 year.Results Among 245 sICAS patients,20(8.2%)had SIT.The D2H2A nomogram,incorporating diabetes,dyslipidaemia,haemodynamic status of sICAS,hypertension and age≥50 years,showed good calibration(P for Hosmer-Lemeshow test=0.560)and discrimination(C-statistic 0.73,95%CI 0.60 to 0.85).It also had better performance in risk reclassification and provided larger net benefits in decision curve analysis,compared with nomograms composed of conventional vascular risk factors only,and plus the severity of luminal stenosis in sICAS.Sensitivity analysis in patients with anterior-circulation sICAS showed similar results.Conclusions The D2H2A nomogram,incorporating conventional vascular risk factors and the haemodynamic significance of sICAS as assessed in CFD models,could be a useful tool to stratify sICAS patients for the risk of recurrent stroke under contemporarily optimal medical treatment. | Xuan Tian Hui Fang Linfang Lan Hing Lung Ip Jill Abrigo Haipeng Liu Lina Zheng Florence S Y Fan Sze Ho Ma Bonaventure Ip Bo Song Yuming Xu Jingwei Li Bing Zhang Yun Xu Yannie O Y Soo Vincent Mok Ka Sing Wong Thomas W Leung Xinyi Leng | 2023 | Stroke & Vascular Neurology2023，8，1： | 2 |
| 4 | Computed tomograph- ic angiography for patients with acute spontaneous intracerebral hemorrhage 显示文摘 | George KCW Deyond YWS Jill MA | 2012 | Journal of Clinical Neuroscience2012，19，4： | 1 |
| 5 | Functional characterization of Narc 1, a novel proteinase related to proteinase K显示文摘 | Saule Naureckiene Linh Ma Kodangattil Sreekumar Urmila Purandare C Frederick Lo Ying Huang Lillian W Chiang Jill M Grenier Bradley A Ozenberger J Steven Jacobsen Jeffrey D Kennedy Peter S DiStefano Andrew Wood Brendan Bingham | 2003 | Archives of Biochemistry and Biophysics2003，，1： | 1 |
| 6 | Lactobacillus rhamnosus GG reduces hepatic TNFα production and inflammation in chronic alcohol-induced liver injury显示文摘 | Yuhua Wang Yanlong Liu Irina Kirpich Zhenhua Ma Cuiling Wang Min Zhang Jill Suttles Craig McClain Wenke Feng | 2013 | The Journal of Nutritional Biochemistry2013，，： | 1 |
| 7 | Organizational dynamic capability and innovation: an empirical examination of internet firms 显示文摘 | LIAO JIANWEN JILL R K MA HAO | 2009 | Small Business Management2009，47，3： | 1 |
| 8 | 预测儿童手术前焦虑:谁最准确?显示文摘背景本研究旨在评价全麻诱导期间小儿麻醉主治医师、住院医师及患儿母亲三者预测2.16岁儿童(n=125)手术前焦虑的能力。方法麻醉医师及患儿母亲运用视觉模拟评分对患儿的手术前焦虑提供预测,患儿的实际焦虑状况则使用有效行为观测工具——改良耶鲁手术前焦虑量表进行评估。所有患儿母亲在全麻诱导期间均在场,所有患儿均不接受手术前镇静用药。采集数据后进行相关分析。结果125例2—16岁的患儿、患儿母亲及实施麻醉的主治医师和住院医师共同参与了此项研究。相关分析显示全麻诱导期间麻醉主治医师对患儿手术前焦虑的预测与患儿实际焦虑状况之间存在显著相关性(rs=0.38,P〈0.001)。而诱导期间麻醉住院医师和患儿母亲的预测与患儿客观焦虑状况之间无显著相关(rs分别为0.01及0.001)。就预测的准确性而言,在麻醉主治医师所提供的预测中,47.2%与患儿的客观焦虑状况在一个标准差误差范围内,70.4%在2个标准差误差范围内。结论相比患儿母亲,参与实施儿科麻醉的主治医师在全麻诱导期间更能准确地预测儿童患者的手术前焦虑。虽然这一结论具有重要的临床意义,但是否可将其推广至其他较少从事儿科麻醉的麻醉主治医师尚未知。 | Jill E. MacLaren, PhD Caitlin Thompson, BA Megan Weinberg, MA Michele A. Fortier, PhD Debra E. Morrison, MD DanieUe Perret, MD Zeev N. Kain, MD, MBA 谢珺田(译) 宋文阁(校) | 2010 | 麻醉与镇痛2010，，5： | 0 |
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