1.Study Protocol of Expanded Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro-EXP)
Jae Hoon MOON ; Eun Kyung LEE ; Wonjae CHA ; Young Jun CHAI ; Sun Wook CHO ; June Young CHOI ; Sung Yong CHOI ; A Jung CHU ; Eun-Jae CHUNG ; Yul HWANGBO ; Woo-Jin JEONG ; Yuh-Seog JUNG ; Kyungsik KIM ; Min Joo KIM ; Su-jin KIM ; Woochul KIM ; Yoo Hyung KIM ; Chang Yoon LEE ; Ji Ye LEE ; Kyu Eun LEE ; Young Ki LEE ; Hunjong LIM ; Do Joon PARK ; Sue K. PARK ; Chang Hwan RYU ; Junsun RYU ; Jungirl SEOK ; Young Shin SONG ; Ka Hee YI ; Hyeong Won YU ; Eleanor WHITE ; Katerina MASTROCOSTAS ; Roderick J. CLIFTON-BLIGH ; Anthony GLOVER ; Matti L. GILD ; Ji-hoon KIM ; Young Joo PARK
Endocrinology and Metabolism 2025;40(2):236-246
Background:
Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making.
Methods:
This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes.
Conclusion
This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.
2.Study Protocol of Expanded Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro-EXP)
Jae Hoon MOON ; Eun Kyung LEE ; Wonjae CHA ; Young Jun CHAI ; Sun Wook CHO ; June Young CHOI ; Sung Yong CHOI ; A Jung CHU ; Eun-Jae CHUNG ; Yul HWANGBO ; Woo-Jin JEONG ; Yuh-Seog JUNG ; Kyungsik KIM ; Min Joo KIM ; Su-jin KIM ; Woochul KIM ; Yoo Hyung KIM ; Chang Yoon LEE ; Ji Ye LEE ; Kyu Eun LEE ; Young Ki LEE ; Hunjong LIM ; Do Joon PARK ; Sue K. PARK ; Chang Hwan RYU ; Junsun RYU ; Jungirl SEOK ; Young Shin SONG ; Ka Hee YI ; Hyeong Won YU ; Eleanor WHITE ; Katerina MASTROCOSTAS ; Roderick J. CLIFTON-BLIGH ; Anthony GLOVER ; Matti L. GILD ; Ji-hoon KIM ; Young Joo PARK
Endocrinology and Metabolism 2025;40(2):236-246
Background:
Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making.
Methods:
This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes.
Conclusion
This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.
3.Study Protocol of Expanded Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro-EXP)
Jae Hoon MOON ; Eun Kyung LEE ; Wonjae CHA ; Young Jun CHAI ; Sun Wook CHO ; June Young CHOI ; Sung Yong CHOI ; A Jung CHU ; Eun-Jae CHUNG ; Yul HWANGBO ; Woo-Jin JEONG ; Yuh-Seog JUNG ; Kyungsik KIM ; Min Joo KIM ; Su-jin KIM ; Woochul KIM ; Yoo Hyung KIM ; Chang Yoon LEE ; Ji Ye LEE ; Kyu Eun LEE ; Young Ki LEE ; Hunjong LIM ; Do Joon PARK ; Sue K. PARK ; Chang Hwan RYU ; Junsun RYU ; Jungirl SEOK ; Young Shin SONG ; Ka Hee YI ; Hyeong Won YU ; Eleanor WHITE ; Katerina MASTROCOSTAS ; Roderick J. CLIFTON-BLIGH ; Anthony GLOVER ; Matti L. GILD ; Ji-hoon KIM ; Young Joo PARK
Endocrinology and Metabolism 2025;40(2):236-246
Background:
Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making.
Methods:
This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes.
Conclusion
This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.
4.Study Protocol of Expanded Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro-EXP)
Jae Hoon MOON ; Eun Kyung LEE ; Wonjae CHA ; Young Jun CHAI ; Sun Wook CHO ; June Young CHOI ; Sung Yong CHOI ; A Jung CHU ; Eun-Jae CHUNG ; Yul HWANGBO ; Woo-Jin JEONG ; Yuh-Seog JUNG ; Kyungsik KIM ; Min Joo KIM ; Su-jin KIM ; Woochul KIM ; Yoo Hyung KIM ; Chang Yoon LEE ; Ji Ye LEE ; Kyu Eun LEE ; Young Ki LEE ; Hunjong LIM ; Do Joon PARK ; Sue K. PARK ; Chang Hwan RYU ; Junsun RYU ; Jungirl SEOK ; Young Shin SONG ; Ka Hee YI ; Hyeong Won YU ; Eleanor WHITE ; Katerina MASTROCOSTAS ; Roderick J. CLIFTON-BLIGH ; Anthony GLOVER ; Matti L. GILD ; Ji-hoon KIM ; Young Joo PARK
Endocrinology and Metabolism 2025;40(2):236-246
Background:
Active surveillance (AS) has emerged as a viable management strategy for low-risk papillary thyroid microcarcinoma (PTMC), following pioneering trials at Kuma Hospital and the Cancer Institute Hospital in Japan. Numerous prospective cohort studies have since validated AS as a management option for low-risk PTMC, leading to its inclusion in thyroid cancer guidelines across various countries. From 2016 to 2020, the Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) enrolled 1,177 patients, providing comprehensive data on PTMC progression, sonographic predictors of progression, quality of life, surgical outcomes, and cost-effectiveness when comparing AS to immediate surgery. The second phase of MAeSTro (MAeSTro-EXP) expands AS to low-risk papillary thyroid carcinoma (PTC) tumors larger than 1 cm, driven by the hypothesis that overall risk assessment outweighs absolute tumor size in surgical decision-making.
Methods:
This protocol aims to address whether limiting AS to tumors smaller than 1 cm may result in unnecessary surgeries for low-risk PTCs detected during their rapid initial growth phase. By expanding the AS criteria to include tumors up to 1.5 cm, while simultaneously refining and standardizing the criteria for risk assessment and disease progression, we aim to minimize overtreatment and maintain rigorous monitoring to improve patient outcomes.
Conclusion
This study will contribute to optimizing AS guidelines and enhance our understanding of the natural course and appropriate management of low-risk PTCs. Additionally, MAeSTro-EXP involves a multinational collaboration between South Korea and Australia. This cross-country study aims to identify cultural and racial differences in the management of low-risk PTC, thereby enriching the global understanding of AS practices and their applicability across diverse populations.
5.Global Impact of the COVID-19 Pandemic on Cerebral Venous Thrombosis and Mortality
Thanh N. NGUYEN ; Muhammad M. QURESHI ; Piers KLEIN ; Hiroshi YAMAGAMI ; Mohamad ABDALKADER ; Robert MIKULIK ; Anvitha SATHYA ; Ossama Yassin MANSOUR ; Anna CZLONKOWSKA ; Hannah LO ; Thalia S. FIELD ; Andreas CHARIDIMOU ; Soma BANERJEE ; Shadi YAGHI ; James E. SIEGLER ; Petra SEDOVA ; Joseph KWAN ; Diana Aguiar DE SOUSA ; Jelle DEMEESTERE ; Violiza INOA ; Setareh Salehi OMRAN ; Liqun ZHANG ; Patrik MICHEL ; Davide STRAMBO ; João Pedro MARTO ; Raul G. NOGUEIRA ; ; Espen Saxhaug KRISTOFFERSEN ; Georgios TSIVGOULIS ; Virginia Pujol LEREIS ; Alice MA ; Christian ENZINGER ; Thomas GATTRINGER ; Aminur RAHMAN ; Thomas BONNET ; Noémie LIGOT ; Sylvie DE RAEDT ; Robin LEMMENS ; Peter VANACKER ; Fenne VANDERVORST ; Adriana Bastos CONFORTO ; Raquel C.T. HIDALGO ; Daissy Liliana MORA CUERVO ; Luciana DE OLIVEIRA NEVES ; Isabelle LAMEIRINHAS DA SILVA ; Rodrigo Targa MARTÍNS ; Letícia C. REBELLO ; Igor Bessa SANTIAGO ; Teodora SADELAROVA ; Rosen KALPACHKI ; Filip ALEXIEV ; Elena Adela CORA ; Michael E. KELLY ; Lissa PEELING ; Aleksandra PIKULA ; Hui-Sheng CHEN ; Yimin CHEN ; Shuiquan YANG ; Marina ROJE BEDEKOVIC ; Martin ČABAL ; Dusan TENORA ; Petr FIBRICH ; Pavel DUŠEK ; Helena HLAVÁČOVÁ ; Emanuela HRABANOVSKA ; Lubomír JURÁK ; Jana KADLČÍKOVÁ ; Igor KARPOWICZ ; Lukáš KLEČKA ; Martin KOVÁŘ ; Jiří NEUMANN ; Hana PALOUŠKOVÁ ; Martin REISER ; Vladimir ROHAN ; Libor ŠIMŮNEK ; Ondreij SKODA ; Miroslav ŠKORŇA ; Martin ŠRÁMEK ; Nicolas DRENCK ; Khalid SOBH ; Emilie LESAINE ; Candice SABBEN ; Peggy REINER ; Francois ROUANET ; Daniel STRBIAN ; Stefan BOSKAMP ; Joshua MBROH ; Simon NAGEL ; Michael ROSENKRANZ ; Sven POLI ; Götz THOMALLA ; Theodoros KARAPANAYIOTIDES ; Ioanna KOUTROULOU ; Odysseas KARGIOTIS ; Lina PALAIODIMOU ; José Dominguo BARRIENTOS GUERRA ; Vikram HUDED ; Shashank NAGENDRA ; Chintan PRAJAPATI ; P.N. SYLAJA ; Achmad Firdaus SANI ; Abdoreza GHOREISHI ; Mehdi FARHOUDI ; Elyar SADEGHI HOKMABADI ; Mazyar HASHEMILAR ; Sergiu Ionut SABETAY ; Fadi RAHAL ; Maurizio ACAMPA ; Alessandro ADAMI ; Marco LONGONI ; Raffaele ORNELLO ; Leonardo RENIERI ; Michele ROMOLI ; Simona SACCO ; Andrea SALMAGGI ; Davide SANGALLI ; Andrea ZINI ; Kenichiro SAKAI ; Hiroki FUKUDA ; Kyohei FUJITA ; Hirotoshi IMAMURA ; Miyake KOSUKE ; Manabu SAKAGUCHI ; Kazutaka SONODA ; Yuji MATSUMARU ; Nobuyuki OHARA ; Seigo SHINDO ; Yohei TAKENOBU ; Takeshi YOSHIMOTO ; Kazunori TOYODA ; Takeshi UWATOKO ; Nobuyuki SAKAI ; Nobuaki YAMAMOTO ; Ryoo YAMAMOTO ; Yukako YAZAWA ; Yuri SUGIURA ; Jang-Hyun BAEK ; Si Baek LEE ; Kwon-Duk SEO ; Sung-Il SOHN ; Jin Soo LEE ; Anita Ante ARSOVSKA ; Chan Yong CHIEH ; Wan Asyraf WAN ZAIDI ; Wan Nur Nafisah WAN YAHYA ; Fernando GONGORA-RIVERA ; Manuel MARTINEZ-MARINO ; Adrian INFANTE-VALENZUELA ; Diederik DIPPEL ; Dianne H.K. VAN DAM-NOLEN ; Teddy Y. WU ; Martin PUNTER ; Tajudeen Temitayo ADEBAYO ; Abiodun H. BELLO ; Taofiki Ajao SUNMONU ; Kolawole Wasiu WAHAB ; Antje SUNDSETH ; Amal M. AL HASHMI ; Saima AHMAD ; Umair RASHID ; Liliana RODRIGUEZ-KADOTA ; Miguel Ángel VENCES ; Patrick Matic YALUNG ; Jon Stewart Hao DY ; Waldemar BROLA ; Aleksander DĘBIEC ; Malgorzata DOROBEK ; Michal Adam KARLINSKI ; Beata M. LABUZ-ROSZAK ; Anetta LASEK-BAL ; Halina SIENKIEWICZ-JAROSZ ; Jacek STASZEWSKI ; Piotr SOBOLEWSKI ; Marcin WIĄCEK ; Justyna ZIELINSKA-TUREK ; André Pinho ARAÚJO ; Mariana ROCHA ; Pedro CASTRO ; Patricia FERREIRA ; Ana Paiva NUNES ; Luísa FONSECA ; Teresa PINHO E MELO ; Miguel RODRIGUES ; M Luis SILVA ; Bogdan CIOPLEIAS ; Adela DIMITRIADE ; Cristian FALUP-PECURARIU ; May Adel HAMID ; Narayanaswamy VENKETASUBRAMANIAN ; Georgi KRASTEV ; Jozef HARING ; Oscar AYO-MARTIN ; Francisco HERNANDEZ-FERNANDEZ ; Jordi BLASCO ; Alejandro RODRÍGUEZ-VÁZQUEZ ; Antonio CRUZ-CULEBRAS ; Francisco MONICHE ; Joan MONTANER ; Soledad PEREZ-SANCHEZ ; María Jesús GARCÍA SÁNCHEZ ; Marta GUILLÁN RODRÍGUEZ ; Gianmarco BERNAVA ; Manuel BOLOGNESE ; Emmanuel CARRERA ; Anchalee CHUROJANA ; Ozlem AYKAC ; Atilla Özcan ÖZDEMIR ; Arsida BAJRAMI ; Songul SENADIM ; Syed I. HUSSAIN ; Seby JOHN ; Kailash KRISHNAN ; Robert LENTHALL ; Kaiz S. ASIF ; Kristine BELOW ; Jose BILLER ; Michael CHEN ; Alex CHEBL ; Marco COLASURDO ; Alexandra CZAP ; Adam H. DE HAVENON ; Sushrut DHARMADHIKARI ; Clifford J. ESKEY ; Mudassir FAROOQUI ; Steven K. FESKE ; Nitin GOYAL ; Kasey B. GRIMMETT ; Amy K. GUZIK ; Diogo C. HAUSSEN ; Majesta HOVINGH ; Dinesh JILLELA ; Peter T. KAN ; Rakesh KHATRI ; Naim N. KHOURY ; Nicole L. KILEY ; Murali K. KOLIKONDA ; Stephanie LARA ; Grace LI ; Italo LINFANTE ; Aaron I. LOOCHTAN ; Carlos D. LOPEZ ; Sarah LYCAN ; Shailesh S. MALE ; Fadi NAHAB ; Laith MAALI ; Hesham E. MASOUD ; Jiangyong MIN ; Santiago ORGETA-GUTIERREZ ; Ghada A. MOHAMED ; Mahmoud MOHAMMADEN ; Krishna NALLEBALLE ; Yazan RADAIDEH ; Pankajavalli RAMAKRISHNAN ; Bliss RAYO-TARANTO ; Diana M. ROJAS-SOTO ; Sean RULAND ; Alexis N. SIMPKINS ; Sunil A. SHETH ; Amy K. STAROSCIAK ; Nicholas E. TARLOV ; Robert A. TAYLOR ; Barbara VOETSCH ; Linda ZHANG ; Hai Quang DUONG ; Viet-Phuong DAO ; Huynh Vu LE ; Thong Nhu PHAM ; Mai Duy TON ; Anh Duc TRAN ; Osama O. ZAIDAT ; Paolo MACHI ; Elisabeth DIRREN ; Claudio RODRÍGUEZ FERNÁNDEZ ; Jorge ESCARTÍN LÓPEZ ; Jose Carlos FERNÁNDEZ FERRO ; Niloofar MOHAMMADZADEH ; Neil C. SURYADEVARA, MD ; Beatriz DE LA CRUZ FERNÁNDEZ ; Filipe BESSA ; Nina JANCAR ; Megan BRADY ; Dawn SCOZZARI
Journal of Stroke 2022;24(2):256-265
Background:
and Purpose Recent studies suggested an increased incidence of cerebral venous thrombosis (CVT) during the coronavirus disease 2019 (COVID-19) pandemic. We evaluated the volume of CVT hospitalization and in-hospital mortality during the 1st year of the COVID-19 pandemic compared to the preceding year.
Methods:
We conducted a cross-sectional retrospective study of 171 stroke centers from 49 countries. We recorded COVID-19 admission volumes, CVT hospitalization, and CVT in-hospital mortality from January 1, 2019, to May 31, 2021. CVT diagnoses were identified by International Classification of Disease-10 (ICD-10) codes or stroke databases. We additionally sought to compare the same metrics in the first 5 months of 2021 compared to the corresponding months in 2019 and 2020 (ClinicalTrials.gov Identifier: NCT04934020).
Results:
There were 2,313 CVT admissions across the 1-year pre-pandemic (2019) and pandemic year (2020); no differences in CVT volume or CVT mortality were observed. During the first 5 months of 2021, there was an increase in CVT volumes compared to 2019 (27.5%; 95% confidence interval [CI], 24.2 to 32.0; P<0.0001) and 2020 (41.4%; 95% CI, 37.0 to 46.0; P<0.0001). A COVID-19 diagnosis was present in 7.6% (132/1,738) of CVT hospitalizations. CVT was present in 0.04% (103/292,080) of COVID-19 hospitalizations. During the first pandemic year, CVT mortality was higher in patients who were COVID positive compared to COVID negative patients (8/53 [15.0%] vs. 41/910 [4.5%], P=0.004). There was an increase in CVT mortality during the first 5 months of pandemic years 2020 and 2021 compared to the first 5 months of the pre-pandemic year 2019 (2019 vs. 2020: 2.26% vs. 4.74%, P=0.05; 2019 vs. 2021: 2.26% vs. 4.99%, P=0.03). In the first 5 months of 2021, there were 26 cases of vaccine-induced immune thrombotic thrombocytopenia (VITT), resulting in six deaths.
Conclusions
During the 1st year of the COVID-19 pandemic, CVT hospitalization volume and CVT in-hospital mortality did not change compared to the prior year. COVID-19 diagnosis was associated with higher CVT in-hospital mortality. During the first 5 months of 2021, there was an increase in CVT hospitalization volume and increase in CVT-related mortality, partially attributable to VITT.
6.Development and External Validation of a Deep Learning Algorithm for Prognostication of Cardiovascular Outcomes
In Jeong CHO ; Ji Min SUNG ; Hyeon Chang KIM ; Sang Eun LEE ; Myeong Hun CHAE ; Maryam KAVOUSI ; Oscar L RUEDA-OCHOA ; M Arfan IKRAM ; Oscar H FRANCO ; James K MIN ; Hyuk Jae CHANG
Korean Circulation Journal 2020;50(1):72-84
BACKGROUND AND OBJECTIVES: We aim to explore the additional discriminative accuracy of a deep learning (DL) algorithm using repeated-measures data for identifying people at high risk for cardiovascular disease (CVD), compared to Cox hazard regression.METHODS: Two CVD prediction models were developed from National Health Insurance Service-Health Screening Cohort (NHIS-HEALS): a Cox regression model and a DL model. Performance of each model was assessed in the internal and 2 external validation cohorts in Koreans (National Health Insurance Service-National Sample Cohort; NHIS-NSC) and in Europeans (Rotterdam Study). A total of 412,030 adults in the NHIS-HEALS; 178,875 adults in the NHIS-NSC; and the 4,296 adults in Rotterdam Study were included.RESULTS: Mean ages was 52 years (46% women) and there were 25,777 events (6.3%) in NHIS-HEALS during the follow-up. In internal validation, the DL approach demonstrated a C-statistic of 0.896 (95% confidence interval, 0.886–0.907) in men and 0.921 (0.908–0.934) in women and improved reclassification compared with Cox regression (net reclassification index [NRI], 24.8% in men, 29.0% in women). In external validation with NHIS-NSC, DL demonstrated a C-statistic of 0.868 (0.860–0.876) in men and 0.889 (0.876–0.898) in women, and improved reclassification compared with Cox regression (NRI, 24.9% in men, 26.2% in women). In external validation applied to the Rotterdam Study, DL demonstrated a C-statistic of 0.860 (0.824–0.897) in men and 0.867 (0.830–0.903) in women, and improved reclassification compared with Cox regression (NRI, 36.9% in men, 31.8% in women).CONCLUSIONS: A DL algorithm exhibited greater discriminative accuracy than Cox model approaches.TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02931500
Adult
;
Artificial Intelligence
;
Cardiovascular Diseases
;
Cohort Studies
;
Female
;
Follow-Up Studies
;
Humans
;
Insurance, Health
;
Learning
;
Male
;
Mass Screening
;
National Health Programs
7.Development and External Validation of a Deep Learning Algorithm for Prognostication of Cardiovascular Outcomes
In Jeong CHO ; Ji Min SUNG ; Hyeon Chang KIM ; Sang Eun LEE ; Myeong Hun CHAE ; Maryam KAVOUSI ; Oscar L RUEDA-OCHOA ; M Arfan IKRAM ; Oscar H FRANCO ; James K MIN ; Hyuk Jae CHANG
Korean Circulation Journal 2020;50(1):72-84
BACKGROUND AND OBJECTIVES:
We aim to explore the additional discriminative accuracy of a deep learning (DL) algorithm using repeated-measures data for identifying people at high risk for cardiovascular disease (CVD), compared to Cox hazard regression.
METHODS:
Two CVD prediction models were developed from National Health Insurance Service-Health Screening Cohort (NHIS-HEALS): a Cox regression model and a DL model. Performance of each model was assessed in the internal and 2 external validation cohorts in Koreans (National Health Insurance Service-National Sample Cohort; NHIS-NSC) and in Europeans (Rotterdam Study). A total of 412,030 adults in the NHIS-HEALS; 178,875 adults in the NHIS-NSC; and the 4,296 adults in Rotterdam Study were included.
RESULTS:
Mean ages was 52 years (46% women) and there were 25,777 events (6.3%) in NHIS-HEALS during the follow-up. In internal validation, the DL approach demonstrated a C-statistic of 0.896 (95% confidence interval, 0.886–0.907) in men and 0.921 (0.908–0.934) in women and improved reclassification compared with Cox regression (net reclassification index [NRI], 24.8% in men, 29.0% in women). In external validation with NHIS-NSC, DL demonstrated a C-statistic of 0.868 (0.860–0.876) in men and 0.889 (0.876–0.898) in women, and improved reclassification compared with Cox regression (NRI, 24.9% in men, 26.2% in women). In external validation applied to the Rotterdam Study, DL demonstrated a C-statistic of 0.860 (0.824–0.897) in men and 0.867 (0.830–0.903) in women, and improved reclassification compared with Cox regression (NRI, 36.9% in men, 31.8% in women).
CONCLUSIONS
A DL algorithm exhibited greater discriminative accuracy than Cox model approaches.TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02931500
8.Effect of titanium particles and TNF-alpha on the gene expression and activity of MMP-1, 2, 3 in human knee joint synovial cells.
Chunfeng FU ; Jing XIE ; Rongfu CHEN ; Chunli WANG ; Chunming XU ; Cheng CHEN ; Zhiqiang WANG ; Liangbo LIN ; Wei HUANG ; Xi LIANG ; K L Paul SUNG
Journal of Biomedical Engineering 2013;30(5):1022-1026
This paper is aimed to investigate the effect of titanium (Ti) particles and tumor necrosis factor alpha (TNF-alpha) on the expressions of MMP-1, 2, 3 in human synovial cells, so as to explore the possible mechanism of osteolysis post-operation of metal-on-metal total joint arthroplasty in human synovial cells induced by Ti particles. In vitro cell cultures, human synovial cells were treated by Ti particles and/or TNF-alpha. The total RNA was isolated at 2 hours after the treatment. The gene expression of MMP-1, 2, 3 was analyzed by Semi-quantitative Reverse-transcriptional PCR and quantitative real-time PCR. Cell supernatant was collected at 12, 24, 48 hours after the treatment and Gelatin zymography was performed to detect the activity of MMP-2. Compared to those in the control group (untreated), Ti particles and TNF-alpha increased the gene expression of MMP-1, 2, 3 respectively (P < 0.05), and the effect of combination of the two was even more significant (P < 0.01). The trend of activities of MMP-2 is similar with gene expression. Ti particles and TNF-alpha increased MMP-2 activities by 1.3 times and 1.5 times respectively (P < 0.05), and the combination of the two increased by 1.7 times (P < 0.01). Ti particles and TNF-alpha-induced the stimulation of MMP-1, 2, 3 expressions and MMP-2 activities in human knee joint synovial cells may be involved in aseptic loosening after metal-on-metal arthroplasty through increasing the degradation of bone matrix and declining of osseous support structure mechanics.
Cells, Cultured
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Humans
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Joint Prosthesis
;
Knee Joint
;
cytology
;
Matrix Metalloproteinase 1
;
genetics
;
metabolism
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Matrix Metalloproteinase 2
;
genetics
;
metabolism
;
Matrix Metalloproteinase 3
;
genetics
;
metabolism
;
Matrix Metalloproteinases
;
genetics
;
metabolism
;
Particle Size
;
Prosthesis Failure
;
adverse effects
;
RNA
;
genetics
;
metabolism
;
Synovial Membrane
;
cytology
;
enzymology
;
Titanium
;
pharmacology
;
Tumor Necrosis Factor-alpha
;
pharmacology
9.Gene expressions of LOXs and MMPs of the ACL fibroblasts cells co-cultured with synovial cells.
Chunli WANG ; Hu MEI ; Jing XIE ; Jiahuan JIANG ; Rongfu CHEN ; Lin YIN ; Chunfeng FU ; Cheng CHEN ; K L Paul SUNG
Journal of Biomedical Engineering 2013;30(4):777-781
The progress of research on the the anterior cruciate ligament (ACL) wound healing demonstrates that the synovial tissue in the knee joint plays a very important role in the healing process of injured ACL. Therefore, the molecular response mechanisms of lysyl oxidase (LOX) and matrix metalloproteina (MMP) in normal/injured ACL fibroblast cells could be considered to perform the major analysis function of injured ACL healing mechanism. The mRNA expressions of LOXs and MMPs and the activity expressions of MMP-2 in ACL fibroblasts co-cultured with synovial cells were analyzed by quantitative real-time PCR and zymography. The results showed that co-culture could regulate the mRNA expressions of LOXs and MMPs in the ACL fibroblasts cells. These results suggest that the differential expressions of LOXs and MMP-1, 2, 3 in co-cultured ACL indicate that interaction crosstalk do exist between ACL cells and synovial cells and provide a theoretical basis for subsequent exploration of the mechanisms and treatment of ACL injury and repair.
Anterior Cruciate Ligament
;
cytology
;
Anterior Cruciate Ligament Injuries
;
Coculture Techniques
;
Fibroblasts
;
cytology
;
metabolism
;
Humans
;
Knee Injuries
;
physiopathology
;
Knee Joint
;
cytology
;
Matrix Metalloproteinases
;
genetics
;
metabolism
;
Protein-Lysine 6-Oxidase
;
genetics
;
metabolism
;
Synovial Membrane
;
cytology
;
Wound Healing
;
physiology
10.Validation of Self-administrated Questionnaire for Psychiatric Disorders in Patients with Functional Dyspepsia.
Ada W Y TSE ; Larry H LAI ; C C LEE ; Kelvin K F TSOI ; Vincent W S WONG ; Yawen CHAN ; Joseph J Y SUNG ; Francis K L CHAN ; Justin C Y WU
Journal of Neurogastroenterology and Motility 2010;16(1):52-60
INTRODUCTION: Psychiatric comorbidity is common in patients with functional dyspepsia (FD) but a good screening tool for psychiatric disorders in gastrointestinal clinical practice is lacking. Aims: 1) Evaluate the performance and optimal cut-off of 12-item General Health Questionnaire (GHQ-12) as a screening tool for psychiatric disorders in FD patients; 2) Compare health-related quality of life (HRQoL) in FD patients with and without psychiatric comorbidities. METHODS: Consecutive patients fulfilling Rome III criteria for FD without medical co-morbidities and gastroesophageal reflux disease were recruited in a gastroenterology clinic. The followings were conducted at 4 weeks after index oesophagogastroduodenoscopy: self-administrated questionnaires on socio-demographics, dyspeptic symptom severity (4-point Likert scale), GHQ-12, and 36-item short-form health survey (SF-36). Psychiatric disorders were diagnosed with Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) by a trained psychiatrist, which served as reference standard. RESULTS: 55 patients underwent psychiatrist-conducted interview and questionnaire assessment. 27 (49.1%) had current psychiatric disorders as determined by SCID (anxiety disorders: 38.2%, depressive disorders: 16.4%). Receiver operating characteristic curve analysis of GHQ-12 revealed an area under curve of 0.825 (95%CI: 0.698-0.914). Cut-off of GHQ-12 at > or =3 gave a sensitivity of 63.0% (95%CI = 42.4-80.6%) and specificity of 92.9% (95%CI = 76.5%-98.9%). Subjects with co-existing psychiatric disorders scored significantly lower in multiple domains of SF-36 (mental component summary, general health, vitality and mental health). By multivariate linear regression analysis, current psychiatric morbidities (Beta = -0.396, p = 0.002) and family history of psychiatric illness (Beta = -0.299, p = 0.015) were independent risk factors for poorer mental component summary in SF-36, while dyspepsia severity was the only independent risk factor for poorer physical component summary (Beta = -0.332, p = 0.027). CONCLUSIONS: Concomitant psychiatric disorders adversely affect HRQoL in FD patients. The use of GHQ-12 as a reliable screening tool for psychiatric disorders allows early intervention and may improve clinical outcomes of these patients.
Area Under Curve
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Axis, Cervical Vertebra
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Comorbidity
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Diagnostic and Statistical Manual of Mental Disorders
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Dyspepsia
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Early Intervention (Education)
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Gastroenterology
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Gastroesophageal Reflux
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Health Surveys
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Humans
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Linear Models
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Mass Screening
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Mental Disorders
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Psychiatry
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Quality of Life
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Surveys and Questionnaires
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Risk Factors
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ROC Curve
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Rome
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Sensitivity and Specificity

Result Analysis
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