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S-408 Graves`` Disease Coexisting with Idiopathic Hypoparathyroidism
( Keungmo Yang ),( Young Wook Cho ),( Kyeong Pyo Lee ),( Woo Jung Kim ),( Tae Seo Sohn ),( Hyun Shik Son ),( Hannah Seok ) 대한내과학회 2016 대한내과학회 추계학술대회 Vol.2016 No.1
Graves’ disease and hypoparathyroidism are very difficult to be correlated because of different pathogenetic characters. We report the first case of Graves’ disease coexisting with idiopathic hypoparathyroidism on adult in Korea. A 60-year-old woman was admitted with sudden loss of consciousness and seizure. She had been diagnosed with Graves’ disease a year ago and taken carbimazole. Laboratory findings were as follows: calcium 4.4 mg/dL; phosphorus 6.3 mg/dL; magnesium 1.6 mg/dL; TSH 0.19 mIU/L; free T4 1.4 ng/dL; intact PTH 3.6 pg/mL; 1.25 (OH)2 vitamin D3 18.8 pg/mL; 25 (OH) vitamin D total 12.6 ng/mL. The brain CT showed bilateral and symmetrical calcifications in the basal ganglia and the brain MRI didn’t have other lesions. The ECG showed QT interval prolongation and the EEG was normal. Our final diagnosis was Graves’ disease coexisting with idiopathic hypoparathyroidism and we conclude that seizure was happened by hypocalcemia. Hypoparathyroidism was probably idiopathic since she doesn’t have the history of surgeries or radiative therapies. Also there was no evidence of immunodeficiency disease or congenital disease which can induce hypocalcemia. Primary hypopararthyroidism is usually occurred by immune-mediated destruction of the parathyroid glands and sometimes coexisted with other diseases to be considered as a part of autoimmune polyendocrine syndrome (APS). We didn’t get the results to screen other diseases in APS. Considering the general symptoms and past medical history, the possibility to accompany these diseases is unlikely.
Quantification of antigen by digital domain analysis of integrated nanogap biosensors
Lee, Cho Yeon,Park, Hyung Ju,Park, Jimin,Park, Dae Keun,Pyo, Hannah,Kim, Seok Cheol,Yun, Wan Soo Elsevier 2017 Biosensors & bioelectronics Vol.97 No.-
<P><B>Abstract</B></P> <P>Nanogap biosensor shows a distinct conduction change upon sandwich-type immobilization of gold nanoparticle probes onto the gap region in the presence of target biomolecules. Although this large conductance change could be advantageous in distinguishing signal on or off devices, since the extent of conductance change is quite irregular even at the same analyte concentrations, it fails to extract quantitative information from its level of conductance change. In other words, the conductance change of a single device does not reflect the concentration of the target molecule. In this study, we introduce an alternative approach of interpreting the concentration of target molecules using digital domain analysis of integrated nanogap devices, where the fraction of signal-on-devices, or on-device-percentage (ODP), was translated into the concentration of the target molecule. The ODP was found to be closely related to the number density of the immobilized probes and, therefore, to be an excellent measure of the analyte concentration, which was demonstrated in the immuno-selective detection and quantification of influenza A hemagglutinin and prostate specific antigen.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Quantification is possible by digital domain analysis of integrated nanogap biosensors. </LI> <LI> On-device-percentage was found to be a good measure of antigen concentration. </LI> <LI> Quantitative analysis of HA and PSA was successfully implemented. </LI> </UL> </P>
Kim, Soo Jeong,Lee, Hye Jin,Hwang, Seung Won,Pyo, Hannah,Yang, Sung Phil,Lim, Mun-Hee,Park, Gyu Lee,Kim, Eun Joo Korean Academy of Rehabilitation Medicine 2016 Annals of Rehabilitation Medicine Vol.40 No.2
<P><B>Objective</B></P><P>To identify the clinical characteristics of proper robot-assisted gait training group using exoskeletal locomotor devices in non-ambulatory subacute stroke patients.</P><P><B>Methods</B></P><P>A total of 38 stroke patients were enrolled in a 4-week robotic training protocol (2 sessions/day, 5 times/week). All subjects were evaluated for their general characteristics, Functional Ambulatory Classification (FAC), Fugl-Meyer Scale (FMS), Berg Balance Scale (BBS), Modified Rankin Scale (MRS), Modified Barthel Index (MBI), and Mini-Mental Status Examination (MMSE) at 0, 2, and 4 weeks. Statistical analysis were performed to determine significant clinical characteristics for improvement of gait function after robot-assisted gait training.</P><P><B>Results</B></P><P>Paired t-test showed that all functional parameters except MMSE were improved significantly (p<0.05). The duration of disease and baseline BBS score were significantly (p<0.05) correlated with FAC score in multiple regression models. Receiver operating characteristic (ROC) curve showed that a baseline BBS score of '9' was a cutoff value (AUC, 0.966; sensitivity, 91%–100%; specificity, 85%). By repeated-measures ANOVA, the differences in improved walking ability according to time were significant between group of patients who had baseline BBS score of '9' and those who did not have baseline BBS score of '9'</P><P><B>Conclusion</B></P><P>Our results showed that a baseline BBS score above '9' and a short duration of disease were highly correlated with improved walking ability after robot-assisted gait training. Therefore, baseline BBS and duration of disease should be considered clinically for gaining walking ability in robot-assisted training group.</P>