Prematurity is an important cause of perinatal death, and no reliable biochemical/biophysical markers exist to identify newborns with an increased mortality risk. We aimed to use S100B concentrations in urine as an ea...Prematurity is an important cause of perinatal death, and no reliable biochemical/biophysical markers exist to identify newborns with an increased mortality risk. We aimed to use S100B concentrations in urine as an early indicator of risk of neonatal death. We did a cross- sectional study using urine obtained from 165 preterm newborns, of whom 11 suffered neonatal death within the first week, 121 displayed no overt neurologic syndrome, and 33 suffered neonatal hypoxia and intraventricular hemorrhage (IVH) but not ominous outcome. Urine S100B concentrations were determined at four time- points and corrected for gestational age by conversion to multiples of median (MoM) of healthy controls of the same gestational age. Ultrasound imaging was assessed within the first 72 h from birth. In infants that died within the first week, S100B levels in urine were already higher than controls at first urination and increased progressively between the 24 and 96- h time- points. Multiple logistic regression analysis showed a significant correlation between urine S100B protein concentrations and the occurrence of neonatal death. An S100B concentration cut- off of 12.93MoM at first urination had a sensitivity of 100% and a specificity of 97.8% for predicting an ominous outcome. The positive predictive value was 78.6% , the negative predictive value was 100% . Measurement of urine S100B protein levels in preterm newborns could be useful to identify newborns at higher risk of neonatal death.展开更多
由方贻儒教授领衔的上海市精神卫生中心心境障碍科、国家临床重点专科研究团队在双相障碍研究中取得新进展，提示有望利用外周血生物学标记物对双相障碍进行早期预测，该研究成果以标题“Brain—derived neurotrophic factor levels and...由方贻儒教授领衔的上海市精神卫生中心心境障碍科、国家临床重点专科研究团队在双相障碍研究中取得新进展，提示有望利用外周血生物学标记物对双相障碍进行早期预测，该研究成果以标题“Brain—derived neurotrophic factor levels and bipolar disorder in patients in their first depressive episode： 3-year prospective longitudinal study”刊登于顶级精神病学期刊British Journal of Psychiatry（《英国精神病学杂志》，影响因子7．343）。本义第一作者李则挚、张晨，通讯作者方贻儒，第一作者单位为上海交通大学医学院附属精神卫生中心。该研究还得到了并列通讯作者上海交通大学医学院统计教研室宋艳艳老师指导与帮助。展开更多
文摘Prematurity is an important cause of perinatal death, and no reliable biochemical/biophysical markers exist to identify newborns with an increased mortality risk. We aimed to use S100B concentrations in urine as an early indicator of risk of neonatal death. We did a cross- sectional study using urine obtained from 165 preterm newborns, of whom 11 suffered neonatal death within the first week, 121 displayed no overt neurologic syndrome, and 33 suffered neonatal hypoxia and intraventricular hemorrhage (IVH) but not ominous outcome. Urine S100B concentrations were determined at four time- points and corrected for gestational age by conversion to multiples of median (MoM) of healthy controls of the same gestational age. Ultrasound imaging was assessed within the first 72 h from birth. In infants that died within the first week, S100B levels in urine were already higher than controls at first urination and increased progressively between the 24 and 96- h time- points. Multiple logistic regression analysis showed a significant correlation between urine S100B protein concentrations and the occurrence of neonatal death. An S100B concentration cut- off of 12.93MoM at first urination had a sensitivity of 100% and a specificity of 97.8% for predicting an ominous outcome. The positive predictive value was 78.6% , the negative predictive value was 100% . Measurement of urine S100B protein levels in preterm newborns could be useful to identify newborns at higher risk of neonatal death.
文摘由方贻儒教授领衔的上海市精神卫生中心心境障碍科、国家临床重点专科研究团队在双相障碍研究中取得新进展，提示有望利用外周血生物学标记物对双相障碍进行早期预测，该研究成果以标题“Brain—derived neurotrophic factor levels and bipolar disorder in patients in their first depressive episode： 3-year prospective longitudinal study”刊登于顶级精神病学期刊British Journal of Psychiatry（《英国精神病学杂志》，影响因子7．343）。本义第一作者李则挚、张晨，通讯作者方贻儒，第一作者单位为上海交通大学医学院附属精神卫生中心。该研究还得到了并列通讯作者上海交通大学医学院统计教研室宋艳艳老师指导与帮助。
