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2. Clinical associations and prognostic significance of enlarged perivascular spaces in patients with previous ischaemic stroke or tia: a pooled analysis of individual patient data.

Author

Best J.G., Ambler G., Wilson D., Du H., Lee K.-J., Lim J.-S., Teo K.C., Mak H.K.F., Kim Y.D., Song T.-J., Demirelli D.S., Nishihara M., Yoshikawa M., Kubacka M., Zietz A., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Panos L.D., Goeldlin M.B., Slater L.-A., Karayiannis C., Phan T., Franke M., Abrigo J., Cheng C., Leung T., Chu W., Chappell F., Makin S., Van Dam-Nolen D.H.K., Kooi M.E., Kohler S., Staals J., Bordet R., Dubost F., Wardlaw J., Soo Y., Fluri F., Srikanth V., Jung S., Peters N., Hara H., Yakushiji Y., Orken D.N., Heo J.H., Lau K.K., Bae H.-J., Werring D.J., Best J.G., Ambler G., Wilson D., Du H., Lee K.-J., Lim J.-S., Teo K.C., Mak H.K.F., Kim Y.D., Song T.-J., Demirelli D.S., Nishihara M., Yoshikawa M., Kubacka M., Zietz A., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Panos L.D., Goeldlin M.B., Slater L.-A., Karayiannis C., Phan T., Franke M., Abrigo J., Cheng C., Leung T., Chu W., Chappell F., Makin S., Van Dam-Nolen D.H.K., Kooi M.E., Kohler S., Staals J., Bordet R., Dubost F., Wardlaw J., Soo Y., Fluri F., Srikanth V., Jung S., Peters N., Hara H., Yakushiji Y., Orken D.N., Heo J.H., Lau K.K., Bae H.-J., and Werring D.J.

Abstract

Background and aims: Enlarged perivascular spaces are an emerging marker of cerebral small vessel disease (CSVD) and might predict future stroke. However, results from existing studies vary. We aimed to clarify this through a large multicentre analysis. Method(s): We pooled individual patient data from a consortium of prospective observational studies. Participants had recent ischaemic stroke or TIA, underwent baseline MRI, and were followed up for ischaemic stroke and symptomatic intracranial haemorrhage (ICH). Perivascular spaces in the basal ganglia (BGPVS) and centrum semiovale (CSOPVS) were rated using a validated visual scale. We investigated clinical and radiological associations cross-sectionally using multinomial logistic regression, and prospective associations with ischaemic stroke and ICH using Cox regression. Result(s): We included 7,778 participants from 16 studies. Over a median follow-up of 1.47 years, 80 ICH and 424 ischaemic strokes occurred. BGPVS were associated with increasing age, hypertension, hyperlipidaemia, previous ischaemic stroke, previous ICH, lacunes, cerebral microbleeds (CMBs) and white matter hyperintensities. CSOPVS showed similar but weaker associations. Prospectively, after adjusting for potential confounders including CMBs, BGPVS were associated with ischaemic stroke (11-20 BGPVS: HR 1.20, 95% CI 0.93-1.54; 21+ BGPVS: HR 1.50, 95% CI 1.10-2.06; overall p = 0.040), but not ICH. CSOPVS were not associated with either outcome. Conclusion(s): In patients with ischaemic stroke or TIA, increasing BGPVS burden is associated with more severe CSVD and greater ischaemic stroke risk. Neither BGPVS nor CSOPVS were independently associated with future ICH, suggesting that CMBs are a more informative marker for intracranial bleeding risk in this population. (Figure Presented).

Published
2022

3. Cerebral venous thrombosis after ChAdOx1 nCoV-19 vaccination: a systematic review.

Author

SONG, T.-J., SHIN, J. I., YON, D. K., LEE, S. W., HWANG, S. Y., HWANG, J., PARK, S. H., LEE, S. B., LEE, M. H., KIM, M. S., KOYANAGI, A., TIZAOUI, K., KIM, J. H., and SMITH, L.

Abstract

OBJECTIVE: To perform a systematic review of case reports or case series regarding thrombosis with thrombocytopenia syndrome (TTS) and cerebral venous thrombosis (CVT) related to ChAdOx1 nCoV-19 vaccination to address the clinical features, laboratory findings, treatment modalities, and prognosis related with CVT. SUBJECTS AND METHODS: We included 64 TTS patients from 19 articles, 6 case series and 13 case reports, in which thrombosis occurred after the first dose of ChAdOx1 nCoV-19 vaccination published up to 30 June 2021 in Embase, ePubs, Medline/PubMed, Scopus, and Web of Science databases. RESULTS: Of the 64 TTS patients, 38 (59.3%) had CVT. Patients with CVT were younger (median 36.5 vs. 52.5 years, p<0.001), had lower fibrinogen levels (130 vs. 245 mg/dL, p=0.008), had more frequent history of intracerebral hemorrhage (ICH), and had higher mortality rate (48.6% vs. 19.2%, p=0.020) than that of patients without CVT. In multivariable analysis, the possibility of presence of CVT was higher in younger age groups [odd ratio (OR): 0.91, 95% confidence interval (CI): (0.86-0.97, p<0.001)] and those with accompanying intracerebral hemorrhage (ICH) (OR: 13.60, 95% CI (1.28-144.12, p=0.045). CONCLUSIONS: Our study demonstrated that CVT related to ChAdOx1 nCoV-19 vaccination was associated with younger age, low levels of fibrinogen, presence of ICH and more frequent mortality compared to those of non-CVT. If TTS occurs after ChAdOx1 nCoV-19 vaccination, the presence of CVT in patients with young age or ICH should be considered. [ABSTRACT FROM AUTHOR]

Published
2023

8. Empirical assessment of biases in cerebrospinal fluid biomarkers of Alzheimer's disease: an umbrella review and re-analysis of data from meta-analyses

Author

Jeong, D. Y., Lee, J., Kim, J. Y., Lee, K. H., Li, H., Lee, J. Y., Jeong, G. H., Yoon, S., Park, E. L., Hong, S. H., Kang, J. W., Song, T. -J., Leyhe, T., Eisenhut, M., Kronbichler, A., Smith, L., Solmi, M., Stubbs, B., Koyanagi, A., Jacob, L., Stickley, A., Thompson, T., Dragioti, E., Oh, H., Brunoni, A. R., Carvalho, A. F., Kim, M. S., Yon, D. K., Lee, S. W., Yang, J. M., Ghayda, R. A., Shin, J. I., and Fusar-Poli, P.

Subjects
Alzheimer Disease, Humans, Biomarkers
Abstract

OBJECTIVE: Alzheimer’s disease (AD) is a leading cause of years lived with disability in older age, and several cerebrospinal fluid (CSF) markers have been proposed in individual meta-analyses to be associated with AD but field-wide evaluation and scrutiny of the literature is not available.\ud \ud MATERIALS AND METHODS: We performed an umbrella review for the reported associations between CSF biomarkers and AD. Data from available meta-analyses were reanalyzed using both random and fixed effects models. We also estimated between-study heterogeneity, small-study effects, excess significance, and prediction interval.\ud \ud RESULTS: A total of 38 meta-analyses on CSF markers from 11 eligible articles were identified and reanalyzed. In 14 (36%) of the meta-analyses, the summary estimate and the results of the largest study showed non-concordant results in terms of statistical significance. Large heterogeneity (I2≥75%) was observed in 73% and small-study effects under Egger’s test were shown in 28% of CSF biomarkers.\ud \ud CONCLUSIONS: Our results suggest that there is an excess of statistically significant results and significant biases in the literature of CSF biomarkers for AD. Therefore, the results of CSF biomarkers should be interpreted with caution.

Published
2021

9. Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies.

Author

Best J.G., Ambler G., Wilson D., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Ben Assayag E., Hallevi H., Molad J., Nishihara M., Tanaka J., Coutts S.B., Polymeris A., Wagner B., Seiffge D.J., Lyrer P., Algra A., Kappelle L.J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Fischer U., El-Koussy M., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Mess W.H., Nederkoorn P.J., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra A.C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., Hendrikse J., Kelly P.J., Wardlaw J., Soo Y., Fluri F., Srikanth V., Calvet D., Jung S., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Hara H., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., Gratz P., Mattle H., Panos L., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Douven E., Delgado-Mederos R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Van Dam-Nolen D., Kooi M.E., Van der Lugt A., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., Mitchell J., Best J.G., Ambler G., Wilson D., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Ben Assayag E., Hallevi H., Molad J., Nishihara M., Tanaka J., Coutts S.B., Polymeris A., Wagner B., Seiffge D.J., Lyrer P., Algra A., Kappelle L.J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Fischer U., El-Koussy M., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Mess W.H., Nederkoorn P.J., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra A.C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., Hendrikse J., Kelly P.J., Wardlaw J., Soo Y., Fluri F., Srikanth V., Calvet D., Jung S., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Hara H., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., Gratz P., Mattle H., Panos L., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Douven E., Delgado-Mederos R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Van Dam-Nolen D., Kooi M.E., Van der Lugt A., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., and Mitchell J.

Abstract

Background: Balancing the risks of recurrent ischaemic stroke and intracranial haemorrhage is important for patients treated with antithrombotic therapy after ischaemic stroke or transient ischaemic attack. However, existing predictive models offer insufficient performance, particularly for assessing the risk of intracranial haemorrhage. We aimed to develop new risk scores incorporating clinical variables and cerebral microbleeds, an MRI biomarker of intracranial haemorrhage and ischaemic stroke risk. Method(s): We did a pooled analysis of individual-patient data from the Microbleeds International Collaborative Network (MICON), which includes 38 hospital-based prospective cohort studies from 18 countries. All studies recruited participants with previous ischaemic stroke or transient ischaemic attack, acquired baseline MRI allowing quantification of cerebral microbleeds, and followed-up participants for ischaemic stroke and intracranial haemorrhage. Participants not taking antithrombotic drugs were excluded. We developed Cox regression models to predict the 5-year risks of intracranial haemorrhage and ischaemic stroke, selecting candidate predictors on biological relevance and simplifying models using backward elimination. We derived integer risk scores for clinical use. We assessed model performance in internal validation, adjusted for optimism using bootstrapping. The study is registered on PROSPERO, CRD42016036602. Finding(s): The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 for ischaemic stroke. Over a median follow-up of 2 years, 184 intracranial haemorrhages and 1048 ischaemic strokes were reported. The risk models we developed included cerebral microbleed burden and simple clinical variables. Optimism-adjusted c indices were 0.73 (95% CI 0.69-0.77) with a calibration slope of 0.94 (0.81-1.06) for the intracranial haemorrhage model and 0.63 (0.62-0.65) w

Published
2021

13. Incidence of oral anticoagulant interruption among stroke patients with atrial fibrillation and subsequent stroke

Author

Kim, J.‐M., primary, Park, K.‐Y., additional, Yu, I.‐W., additional, Song, T.‐J., additional, Kim, Y.‐J., additional, Kim, B. J., additional, Heo, S. H., additional, Jung, J.‐M., additional, Oh, K.‐M., additional, Kim, C. K., additional, Yu, S., additional, Park, J.‐H., additional, Choi, J. C., additional, Park, M.‐S., additional, Kim, J.‐T., additional, Choi, K.‐H., additional, Hwang, Y.‐H., additional, Chung, J.‐W., additional, Bang, O. Y., additional, Kim, G.‐M., additional, and Seo, W.‐K., additional

Published
2020
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18. Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies.

Author

Jung S., van Dam-Nolen D.H.K., Douven E., Delgado-Mederos, R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Nishihara M., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Hendrikse J., Nederkoorn P., Mess W., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., Mitchell J., Wilson D., Ambler G., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Schrooten M., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Assayag E.B., Hallevi H., Tanaka J., Hara H., Coutts S.B., Hert L., Polymeris A., Seiffge D.J., Lyrer P., Algra A., Kappelle J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Mattle H.P., Panos L.D., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Kooi M.E., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., van der Lugt A., Kelly P.J., Wardlaw J.M., Soo Y., Fluri F., Srikanth V., Calvet D., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., El-Koussy M., Gratz P., Molad J., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Jung S., van Dam-Nolen D.H.K., Douven E., Delgado-Mederos, R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Nishihara M., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Hendrikse J., Nederkoorn P., Mess W., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., Mitchell J., Wilson D., Ambler G., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Schrooten M., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Assayag E.B., Hallevi H., Tanaka J., Hara H., Coutts S.B., Hert L., Polymeris A., Seiffge D.J., Lyrer P., Algra A., Kappelle J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Mattle H.P., Panos L.D., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Kooi M.E., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., van der Lugt A., Kelly P.J., Wardlaw J.M., Soo Y., Fluri F., Srikanth V., Calvet D., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., El-Koussy M., Gratz P., Molad J., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., and Schembri M.

Abstract

Background: Cerebral microbleeds are a neuroimaging biomarker of stroke risk. A crucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stroke or transient ischaemic attack in whom the rate of future intracranial haemorrhage is likely to exceed that of recurrent ischaemic stroke when treated with antithrombotic drugs. We therefore aimed to establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient ischaemic attack patients at higher absolute risk of intracranial haemorrhage than ischaemic stroke. Method(s): We did a pooled analysis of individual patient data from cohort studies in adults with recent ischaemic stroke or transient ischaemic attack. Cohorts were eligible for inclusion if they prospectively recruited adult participants with ischaemic stroke or transient ischaemic attack; included at least 50 participants; collected data on stroke events over at least 3 months follow-up; used an appropriate MRI sequence that is sensitive to magnetic susceptibility; and documented the number and anatomical distribution of cerebral microbleeds reliably using consensus criteria and validated scales. Our prespecified primary outcomes were a composite of any symptomatic intracranial haemorrhage or ischaemic stroke, symptomatic intracranial haemorrhage, and symptomatic ischaemic stroke. We registered this study with the PROSPERO international prospective register of systematic reviews, number CRD42016036602. Finding(s): Between Jan 1, 1996, and Dec 1, 2018, we identified 344 studies. After exclusions for ineligibility or declined requests for inclusion, 20 322 patients from 38 cohorts (over 35 225 patient-years of follow-up; median 1.34 years [IQR 0.19-2.44]) were included in our analyses. The adjusted hazard ratio [aHR] comparing patients with cerebral microbleeds to those without was 1.35 (95% CI 1.20-1.50) for the composite outcome of

Published
2019

19. Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies

Author

Wilson, D. (Duncan), Ambler, G. (Gareth), Lee, K.-J. (Keon-Joo), Lim, J.-S. (Jae-Sung), Shiozawa, M. (Masayuki), Koga, M. (Masatoshi), Li, L. (Linxin), Lovelock, C. (Caroline), Chabriat, H. (Hugues), Hennerici, M.G. (Michael), Wong, Y.K. (Yuen Kwun), Mak, H.K.F. (Henry Ka Fung), Prats-Sánchez, L. (Luis), Martínez-Domeño, A. (Alejandro), Inamura, S. (Shigeru), Yoshifuji, K. (Kazuhisa), Arsava, E.M. (Ethem Murat), Horstmann, S. (Solveig), Purrucker, J. (Jan), Lam, B.Y.K. (Bonnie Yin Ka), Wong, A. (Adrian), Kim, Y.D. (Young Dae), Song, T.-J. (Tae-Jin), Schrooten, M. (Maarten), Lemmens, R. (Robin), Eppinger, S. (Sebastian), Gattringer, T. (Thomas), Uysal, E. (Ender), Tanriverdi, Z. (Zeynep), Bornstein, S.R. (Stefan), Assayag, E.B. (Einor Ben), Hallevi, H. (Hen), Tanaka, J. (Jun), Hara, H. (Hideo), Coutts, S.B. (Shelagh B), Hert, L. (Lisa), Polymeris, A. (Alexandros), Seiffge, D.J. (David J), Lyrer, P.A. (Philippe), Algra, A. (Ale), Kappelle, L.J. (Jaap), Al-Shahi Salman, R. (Rustam), Jäger, H.R. (Rolf), Lip, G.Y.H. (Gregory Y H), Mattle, H., Panos, L.D. (Leonidas D), Mas, J.L. (J.), Legrand, L. (Laurence), Karayiannis, C. (Christopher), Phan, T.G. (Thanh), Gunkel, S. (Sarah), Christ, N. (Nicolas), Abrigo, J. (Jill), Leung, T. (Thomas), Chu, W. (Winnie), Chappell, F. (Francesca), Makin, S. (Stephen), Hayden, D. (Derek), Williams, D.J. (David J), Kooi, M.E. (M. Eline), van Dam-Nolen, D.H.K. (Dianne H K), Barbato, C. (Carmen), Browning, S. (Simone), Wiegertjes, K. (Kim), Tuladhar, A.M. (Anil M.), Maaijwee, N. (Noortje), Guevarra, C. (Christine), Yatawara, C. (Chathuri), Mendyk, A.-M. (Anne-Marie), Delmaire, C. (Christine), Köhler, S. (Sebastian), Oostenbrugge, R.J. (Robert) van, Zhou, Y. (Ying), Xu, C. (Chao), Hilal, S. (Saima), Gyanwali, B. (Bibek), Chen, C. (Christopher), Lou, M. (Min), Staals, J. (Julie), Bordet, R. (Régis), Kandiah, N. (Nagaendran), Leeuw, H.F. (Frank) de, Simister, R. (Robert), Lugt, A. (Aad) van der, Kelly, P.J. (Peter J), Wardlaw, J.M. (J.), Soo, Y. (Yannie), Fluri, F. (Felix), Srikanth, V. (Velandai), Calvet, D. (David), Jung, S. (Simon), Kwa, V.I.H., Engelter, S.T. (Stefan), Peters, N. (Nils), Smith, E.E. (Eric), Yakushiji, Y. (Yusuke), Orken, D.N. (Dilek Necioglu), Fazekas, F. (Franz), Thijs, V. (Vincent), Heo, J.H. (Ji Hoe), Mok, V. (Vincent), Veltkamp, R. (Roland), Ay, H. (Hakan), Imaizumi, T. (Toshio), Gomez-Anson, B. (Beatriz), Lau, K.K. (Kui Kai), Jouvent, E. (Eric), Rothwell, P.M. (Peter), Toyoda, K. (Kazunori), Bae, H.-J. (Hee-Joon), Marti-Fabregas, J. (Joan), Werring, D.J. (David), Harkness, K. (Kirsty), Shaw, L. (Louise), Sword, J. (Jane), Mohd Nor, A. (Azlisham), Sharma, P. (Pankaj), Kelly, D. (Deborah), Harrington, F. (Frances), Randall, M. (Marc), Smith, M. (Matthew), Mahawish, K. (Karim), Elmarim, A. (Abduelbaset), Esisi, B. (Bernard), Cullen, C. (Claire), Nallasivam, A. (Arumug), Price, C. (Christopher), Barry, A. (Adrian), Roffe, C. (Christine), Coyle, J. (John), Hassan, A. (Ahamad), Birns, J. (Jonathan), Cohen, D. (David), Sekaran, L. (Lakshmanan), Parry-Jones, A. (Adrian), Parry, A. (Anthea), Hargroves, D. (David), Proschel, H. (Harald), Datta, P. (Prabel), Darawil, K. (Khaled), Manoj, A. (Aravindakshan), Burn, M. (Mathew), Patterson, C. (Chris), Giallombardo, E. (Elio), Smyth, N. (Nigel), Mansoor, S. (Syed), Anwar, I. (Ijaz), Marsh, R. (Rachel), Ispoglou, S. (Sissi), Chadha, D. (Dinesh), Prabhakaran, M. (Mathuri), Meenakishundaram, S. (Sanjeevikumar), O'Connell, J. (Janice), Scott, J. (Jon), Krishnamurthy, V. (Vinodh), Aghoram, P. (Prasanna), McCormick, M. (Michael), Sprigg, N. (Nikola), O'Mahony, P. (Paul), Cooper, M. (Martin), Choy, L. (Lillian), Wilkinson, P. (Peter), Leach, S. (Simon), Caine, S. (Sarah), Burger, I. (Ilse), Gunathilagan, G. (Gunaratam), Guyler, P. (Paul), Emsley, H. (Hedley), Davis, M. (Michelle), Manawadu, D. (Dulka), Pasco, K. (Kath), Mamun, M. (Maam), Luder, R. (Robert), Sajid, M. (Mahmud), Okwera, J. (James), Warburton, E. (Elizabeth), Saastamoinen, K. (Kari), England, T. (Timothy), Putterill, J. (Janet), Flossman, E. (Enrico), Power, M. (Michael), Dani, K. (Krishna), Mangion, D. (David), Suman, A. (Appu), Corrigan, J. (John), Lawrence, E. (Enas), Vahidassr, D. (Djamil), Shakeshaft, C. (Clare), Brown, M. (Martin), Charidimou, A. (Andreas), Cohen, H. (Hannah), Banerjee, G. (Gargi), Houlden, H. (Henry), White, M. (Mark), Yousry, T. (Tarek), Flossmann, E. (Enrico), Muir, K. (Keith), El-Koussy, M. (Marwan), Gratz, P. (Pascal), Molad, J. (Jeremy), Korczyn, A.D. (A.), Kliper, E. (Efrat), Maeder, P. (Philippe), Gass, A. (Achim), Pachai, C. (Chahin), Bracoub, L. (Luc), Douste-Blazy, M.-Y. (Marie-Yvonne), Fratacci, M.D. (Marie Dominique), Vicaut, E. (Eric), Sato, S. (Shoichiro), Miwa, K. (Kaori), Fujita, K. (Kyohei), Ide, T. (Toshihiro), Ma, H. (Henry), Ly, J. (John), Singhal, S. (Shahoo), Chandra, R. (Ronil), Slater, L.-A. (Lee-Anne), Soufan, C. (Cathy), Moran, C. (Christopher), Traenka, C. (Christopher), Thilemann, S. (Sebastian), Fladt, J. (Joachim), Gensicke, H. (Henrik), Bonati, L. (Leo), Kim, B.J. (Beom Joon), Han, M.-K. (Moon-Ku), Kang, J. (Jihoon), Ko, E. (Eunbin), Yang, M.H. (Mi Hwa), Jang, M.S. (Myung Suk), Murphy, S. (Sean), Carty, F. (Fiona), Akijian, L. (Layan), Thornton, J. (John), Schembri, M. (Mark), Douven, E. (Elles), Delgado-Mederos;, R. (Raquel), Marín, R. (Rebeca), Camps-Renom, P. (Pol), Guisado-Alonso, D. (Daniel), Nuñez, F. (Fidel), Medrano-Martorell, S. (Santiago), Merino, E. (Elisa), Iida, K. (Kotaro), Ikeda, S. (Syuhei), Nishihara, M. (Masashi), Irie, H. (Hiroyuki), Demirelli, D.S. (Derya Selcuk), Medanta, J.M. (Jayesh Modi), Zerna, C. (Charlotte), Hernández, M.V. (Maria Valdés), Armitage, P. (Paul), Heye, A. (Anna), Muñoz Maniega, S. (Susana), Sakka, E. (Eleni), Thrippleton, M. (Michael), Dennis, M.S. (M.), Beigneux, Y. (Ysoline), Silva, M. (Mauro), Venketasubramanian, N. (Narayanaswamy), Ho, S.L. (Shu Leung), Cheung, R.T.F. (Raymond Tak Fai), Chan, K.H. (Koon Ho), Teo, K.C. (Kay Cheong), Hui, E. (Edward), Kwan, J.S.K. (Joseph Shiu Kwong), Chang, R. (Richard), Tse, M.Y. (Man Yu), Hoi, C.P. (Chu Peng), Chan, C.Y. (Chung Yan), Chan, O.L. (Oi Ling), Cheung, R.H.K. (Ryan Hoi Kit), Wong, E.K.M. (Edmund Ka Ming), Leung, K.T. (Kam Tat), Tsang, S.F. (Suk Fung), Ip, H.L. (Hing Lung), Ma, S.H. (Sze Ho), Ma, K. (Karen), Fong, W.C. (Wing Chi), Li, S.H. (Siu Hung), Li, R. (Richard), Ng, P.W. (Ping Wing), Wong, K.K. (Kwok Kui), Liu, W. (Wenyan), Wong, L. (Lawrence), Ramos, L. (Lino), Schryver, E.L.L.M. (Els) de, Jöbsis, J. (Joost), van der Sande, J. (Jaap), Brouwers, P.J. (Paul), Roos, Y.B.W.E.M. (Yvo), Stam, J. (Jan), Bakker, S.L.M. (Stef), Verbiest, H. (Henk), Schoonewille, W. (Wouter), Linn, C. (Cisca), Hertzberger, L., Gemert, M. (Maarten) van, Berntsen, P. (Paul), Hendrikse, J. (Jeroen), Nederkoorn, P.J. (Paul), Mess, W.H. (Werner), Koudstaal, P.J. (Peter), Leff, A. (Alexander), Ward, N. (Nicholas), Nachev, P. (Parashkev), Perry, R. (Richard), Ozkan, H. (Hatice), Mitchell, J. (John), Wilson, D. (Duncan), Ambler, G. (Gareth), Lee, K.-J. (Keon-Joo), Lim, J.-S. (Jae-Sung), Shiozawa, M. (Masayuki), Koga, M. (Masatoshi), Li, L. (Linxin), Lovelock, C. (Caroline), Chabriat, H. (Hugues), Hennerici, M.G. (Michael), Wong, Y.K. (Yuen Kwun), Mak, H.K.F. (Henry Ka Fung), Prats-Sánchez, L. (Luis), Martínez-Domeño, A. (Alejandro), Inamura, S. (Shigeru), Yoshifuji, K. (Kazuhisa), Arsava, E.M. (Ethem Murat), Horstmann, S. (Solveig), Purrucker, J. (Jan), Lam, B.Y.K. (Bonnie Yin Ka), Wong, A. (Adrian), Kim, Y.D. (Young Dae), Song, T.-J. (Tae-Jin), Schrooten, M. (Maarten), Lemmens, R. (Robin), Eppinger, S. (Sebastian), Gattringer, T. (Thomas), Uysal, E. (Ender), Tanriverdi, Z. (Zeynep), Bornstein, S.R. (Stefan), Assayag, E.B. (Einor Ben), Hallevi, H. (Hen), Tanaka, J. (Jun), Hara, H. (Hideo), Coutts, S.B. (Shelagh B), Hert, L. (Lisa), Polymeris, A. (Alexandros), Seiffge, D.J. (David J), Lyrer, P.A. (Philippe), Algra, A. (Ale), Kappelle, L.J. (Jaap), Al-Shahi Salman, R. (Rustam), Jäger, H.R. (Rolf), Lip, G.Y.H. (Gregory Y H), Mattle, H., Panos, L.D. (Leonidas D), Mas, J.L. (J.), Legrand, L. (Laurence), Karayiannis, C. (Christopher), Phan, T.G. (Thanh), Gunkel, S. (Sarah), Christ, N. (Nicolas), Abrigo, J. (Jill), Leung, T. (Thomas), Chu, W. (Winnie), Chappell, F. (Francesca), Makin, S. (Stephen), Hayden, D. (Derek), Williams, D.J. (David J), Kooi, M.E. (M. Eline), van Dam-Nolen, D.H.K. (Dianne H K), Barbato, C. (Carmen), Browning, S. (Simone), Wiegertjes, K. (Kim), Tuladhar, A.M. (Anil M.), Maaijwee, N. (Noortje), Guevarra, C. (Christine), Yatawara, C. (Chathuri), Mendyk, A.-M. (Anne-Marie), Delmaire, C. (Christine), Köhler, S. (Sebastian), Oostenbrugge, R.J. (Robert) van, Zhou, Y. (Ying), Xu, C. (Chao), Hilal, S. (Saima), Gyanwali, B. (Bibek), Chen, C. (Christopher), Lou, M. (Min), Staals, J. (Julie), Bordet, R. (Régis), Kandiah, N. (Nagaendran), Leeuw, H.F. (Frank) de, Simister, R. (Robert), Lugt, A. (Aad) van der, Kelly, P.J. (Peter J), Wardlaw, J.M. (J.), Soo, Y. (Yannie), Fluri, F. (Felix), Srikanth, V. (Velandai), Calvet, D. (David), Jung, S. (Simon), Kwa, V.I.H., Engelter, S.T. (Stefan), Peters, N. (Nils), Smith, E.E. (Eric), Yakushiji, Y. (Yusuke), Orken, D.N. (Dilek Necioglu), Fazekas, F. (Franz), Thijs, V. (Vincent), Heo, J.H. (Ji Hoe), Mok, V. (Vincent), Veltkamp, R. (Roland), Ay, H. (Hakan), Imaizumi, T. (Toshio), Gomez-Anson, B. (Beatriz), Lau, K.K. (Kui Kai), Jouvent, E. (Eric), Rothwell, P.M. (Peter), Toyoda, K. (Kazunori), Bae, H.-J. (Hee-Joon), Marti-Fabregas, J. (Joan), Werring, D.J. (David), Harkness, K. (Kirsty), Shaw, L. (Louise), Sword, J. (Jane), Mohd Nor, A. (Azlisham), Sharma, P. (Pankaj), Kelly, D. (Deborah), Harrington, F. (Frances), Randall, M. (Marc), Smith, M. (Matthew), Mahawish, K. (Karim), Elmarim, A. (Abduelbaset), Esisi, B. (Bernard), Cullen, C. (Claire), Nallasivam, A. (Arumug), Price, C. (Christopher), Barry, A. (Adrian), Roffe, C. (Christine), Coyle, J. (John), Hassan, A. (Ahamad), Birns, J. (Jonathan), Cohen, D. (David), Sekaran, L. (Lakshmanan), Parry-Jones, A. (Adrian), Parry, A. (Anthea), Hargroves, D. (David), Proschel, H. (Harald), Datta, P. (Prabel), Darawil, K. (Khaled), Manoj, A. (Aravindakshan), Burn, M. (Mathew), Patterson, C. (Chris), Giallombardo, E. (Elio), Smyth, N. (Nigel), Mansoor, S. (Syed), Anwar, I. (Ijaz), Marsh, R. (Rachel), Ispoglou, S. (Sissi), Chadha, D. (Dinesh), Prabhakaran, M. (Mathuri), Meenakishundaram, S. (Sanjeevikumar), O'Connell, J. (Janice), Scott, J. (Jon), Krishnamurthy, V. (Vinodh), Aghoram, P. (Prasanna), McCormick, M. (Michael), Sprigg, N. (Nikola), O'Mahony, P. (Paul), Cooper, M. (Martin), Choy, L. (Lillian), Wilkinson, P. (Peter), Leach, S. (Simon), Caine, S. (Sarah), Burger, I. (Ilse), Gunathilagan, G. (Gunaratam), Guyler, P. (Paul), Emsley, H. (Hedley), Davis, M. (Michelle), Manawadu, D. (Dulka), Pasco, K. (Kath), Mamun, M. (Maam), Luder, R. (Robert), Sajid, M. (Mahmud), Okwera, J. (James), Warburton, E. (Elizabeth), Saastamoinen, K. (Kari), England, T. (Timothy), Putterill, J. (Janet), Flossman, E. (Enrico), Power, M. (Michael), Dani, K. (Krishna), Mangion, D. (David), Suman, A. (Appu), Corrigan, J. (John), Lawrence, E. (Enas), Vahidassr, D. (Djamil), Shakeshaft, C. (Clare), Brown, M. (Martin), Charidimou, A. (Andreas), Cohen, H. (Hannah), Banerjee, G. (Gargi), Houlden, H. (Henry), White, M. (Mark), Yousry, T. (Tarek), Flossmann, E. (Enrico), Muir, K. (Keith), El-Koussy, M. (Marwan), Gratz, P. (Pascal), Molad, J. (Jeremy), Korczyn, A.D. (A.), Kliper, E. (Efrat), Maeder, P. (Philippe), Gass, A. (Achim), Pachai, C. (Chahin), Bracoub, L. (Luc), Douste-Blazy, M.-Y. (Marie-Yvonne), Fratacci, M.D. (Marie Dominique), Vicaut, E. (Eric), Sato, S. (Shoichiro), Miwa, K. (Kaori), Fujita, K. (Kyohei), Ide, T. (Toshihiro), Ma, H. (Henry), Ly, J. (John), Singhal, S. (Shahoo), Chandra, R. (Ronil), Slater, L.-A. (Lee-Anne), Soufan, C. (Cathy), Moran, C. (Christopher), Traenka, C. (Christopher), Thilemann, S. (Sebastian), Fladt, J. (Joachim), Gensicke, H. (Henrik), Bonati, L. (Leo), Kim, B.J. (Beom Joon), Han, M.-K. (Moon-Ku), Kang, J. (Jihoon), Ko, E. (Eunbin), Yang, M.H. (Mi Hwa), Jang, M.S. (Myung Suk), Murphy, S. (Sean), Carty, F. (Fiona), Akijian, L. (Layan), Thornton, J. (John), Schembri, M. (Mark), Douven, E. (Elles), Delgado-Mederos;, R. (Raquel), Marín, R. (Rebeca), Camps-Renom, P. (Pol), Guisado-Alonso, D. (Daniel), Nuñez, F. (Fidel), Medrano-Martorell, S. (Santiago), Merino, E. (Elisa), Iida, K. (Kotaro), Ikeda, S. (Syuhei), Nishihara, M. (Masashi), Irie, H. (Hiroyuki), Demirelli, D.S. (Derya Selcuk), Medanta, J.M. (Jayesh Modi), Zerna, C. (Charlotte), Hernández, M.V. (Maria Valdés), Armitage, P. (Paul), Heye, A. (Anna), Muñoz Maniega, S. (Susana), Sakka, E. (Eleni), Thrippleton, M. (Michael), Dennis, M.S. (M.), Beigneux, Y. (Ysoline), Silva, M. (Mauro), Venketasubramanian, N. (Narayanaswamy), Ho, S.L. (Shu Leung), Cheung, R.T.F. (Raymond Tak Fai), Chan, K.H. (Koon Ho), Teo, K.C. (Kay Cheong), Hui, E. (Edward), Kwan, J.S.K. (Joseph Shiu Kwong), Chang, R. (Richard), Tse, M.Y. (Man Yu), Hoi, C.P. (Chu Peng), Chan, C.Y. (Chung Yan), Chan, O.L. (Oi Ling), Cheung, R.H.K. (Ryan Hoi Kit), Wong, E.K.M. (Edmund Ka Ming), Leung, K.T. (Kam Tat), Tsang, S.F. (Suk Fung), Ip, H.L. (Hing Lung), Ma, S.H. (Sze Ho), Ma, K. (Karen), Fong, W.C. (Wing Chi), Li, S.H. (Siu Hung), Li, R. (Richard), Ng, P.W. (Ping Wing), Wong, K.K. (Kwok Kui), Liu, W. (Wenyan), Wong, L. (Lawrence), Ramos, L. (Lino), Schryver, E.L.L.M. (Els) de, Jöbsis, J. (Joost), van der Sande, J. (Jaap), Brouwers, P.J. (Paul), Roos, Y.B.W.E.M. (Yvo), Stam, J. (Jan), Bakker, S.L.M. (Stef), Verbiest, H. (Henk), Schoonewille, W. (Wouter), Linn, C. (Cisca), Hertzberger, L., Gemert, M. (Maarten) van, Berntsen, P. (Paul), Hendrikse, J. (Jeroen), Nederkoorn, P.J. (Paul), Mess, W.H. (Werner), Koudstaal, P.J. (Peter), Leff, A. (Alexander), Ward, N. (Nicholas), Nachev, P. (Parashkev), Perry, R. (Richard), Ozkan, H. (Hatice), and Mitchell, J. (John)

Abstract

Background: Cerebral microbleeds are a neuroimaging biomarker of stroke risk. A crucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stroke or transient ischaemic attack in whom the rate of future intracranial haemorrhage is likely to exceed that of recurrent ischaemic stroke when treated with antithrombotic drugs. We therefore aimed to establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient ischaemic attack patients at higher absolute risk of intracranial haemorrhage than ischaemic stroke. Methods: We did a pooled analysis of individual patient data from cohort studies in adults with recent ischaemic stroke or transient ischaemic attack. Cohorts were eligible for inclusion if they prospectively recruited adult participants with ischaemic stroke or

Published
2019
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20. Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies

Author

Wilson, D, Ambler, G, Lee, K-J, Lim, J-S, Shiozawa, M, Koga, M, Li, L, Lovelock, C, Chabriat, H, Hennerici, M, Wong, YK, Mak, HKF, Prats-Sanchez, L, Martinez-Domeno, A, Inamura, S, Yoshifuji, K, Arsava, EM, Horstmann, S, Purrucker, J, Lam, BYK, Wong, A, Kim, YD, Song, T-J, Schrooten, M, Lemmens, R, Eppinger, S, Gattringer, T, Uysal, E, Tanriverdi, Z, Bornstein, NM, Ben Assayag, E, Hallevi, H, Tanaka, J, Hara, H, Coutts, SB, Hert, L, Polymeris, A, Seiffge, DJ, Lyrer, P, Algra, A, Kappelle, J, Salman, RA-S, Jager, HR, Lip, GYH, Mattle, HP, Panos, LD, Mas, J-L, Legrand, L, Karayiannis, C, Phan, T, Gunkel, S, Christ, N, Abrigo, J, Leung, T, Chu, W, Chappell, F, Makin, S, Hayden, D, Williams, DJ, Kooi, ME, van Dam-Nolen, DHK, Barbato, C, Browning, S, Wiegertjes, K, Tuladhar, AM, Maaijwee, N, Guevarra, C, Yatawara, C, Mendyk, A-M, Delmaire, C, Kohler, S, van Oostenbrugge, R, Zhou, Y, Xu, C, Hilal, S, Gyanwali, B, Chen, C, Lou, M, Staals, J, Bordet, R, Kandiah, N, de Leeuw, F-E, Simister, R, van der Lugt, A, Kelly, PJ, Wardlaw, JM, Soo, Y, Fluri, F, Srikanth, V, Calvet, D, Jung, S, Kwa, VIH, Engelter, ST, Peters, N, Smith, EE, Yakushiji, Y, Orken, DN, Fazekas, F, Thijs, V, Heo, JH, Mok, V, Veltkamp, R, Ay, H, Imaizumi, T, Gomez-Anson, B, Lau, KK, Jouvent, E, Rothwell, PM, Toyoda, K, Bae, H-J, Marti-Fabregas, J, Werring, DJ, Wilson, D, Ambler, G, Lee, K-J, Lim, J-S, Shiozawa, M, Koga, M, Li, L, Lovelock, C, Chabriat, H, Hennerici, M, Wong, YK, Mak, HKF, Prats-Sanchez, L, Martinez-Domeno, A, Inamura, S, Yoshifuji, K, Arsava, EM, Horstmann, S, Purrucker, J, Lam, BYK, Wong, A, Kim, YD, Song, T-J, Schrooten, M, Lemmens, R, Eppinger, S, Gattringer, T, Uysal, E, Tanriverdi, Z, Bornstein, NM, Ben Assayag, E, Hallevi, H, Tanaka, J, Hara, H, Coutts, SB, Hert, L, Polymeris, A, Seiffge, DJ, Lyrer, P, Algra, A, Kappelle, J, Salman, RA-S, Jager, HR, Lip, GYH, Mattle, HP, Panos, LD, Mas, J-L, Legrand, L, Karayiannis, C, Phan, T, Gunkel, S, Christ, N, Abrigo, J, Leung, T, Chu, W, Chappell, F, Makin, S, Hayden, D, Williams, DJ, Kooi, ME, van Dam-Nolen, DHK, Barbato, C, Browning, S, Wiegertjes, K, Tuladhar, AM, Maaijwee, N, Guevarra, C, Yatawara, C, Mendyk, A-M, Delmaire, C, Kohler, S, van Oostenbrugge, R, Zhou, Y, Xu, C, Hilal, S, Gyanwali, B, Chen, C, Lou, M, Staals, J, Bordet, R, Kandiah, N, de Leeuw, F-E, Simister, R, van der Lugt, A, Kelly, PJ, Wardlaw, JM, Soo, Y, Fluri, F, Srikanth, V, Calvet, D, Jung, S, Kwa, VIH, Engelter, ST, Peters, N, Smith, EE, Yakushiji, Y, Orken, DN, Fazekas, F, Thijs, V, Heo, JH, Mok, V, Veltkamp, R, Ay, H, Imaizumi, T, Gomez-Anson, B, Lau, KK, Jouvent, E, Rothwell, PM, Toyoda, K, Bae, H-J, Marti-Fabregas, J, and Werring, DJ

Abstract

BACKGROUND: Cerebral microbleeds are a neuroimaging biomarker of stroke risk. A crucial clinical question is whether cerebral microbleeds indicate patients with recent ischaemic stroke or transient ischaemic attack in whom the rate of future intracranial haemorrhage is likely to exceed that of recurrent ischaemic stroke when treated with antithrombotic drugs. We therefore aimed to establish whether a large burden of cerebral microbleeds or particular anatomical patterns of cerebral microbleeds can identify ischaemic stroke or transient ischaemic attack patients at higher absolute risk of intracranial haemorrhage than ischaemic stroke. METHODS: We did a pooled analysis of individual patient data from cohort studies in adults with recent ischaemic stroke or transient ischaemic attack. Cohorts were eligible for inclusion if they prospectively recruited adult participants with ischaemic stroke or transient ischaemic attack; included at least 50 participants; collected data on stroke events over at least 3 months follow-up; used an appropriate MRI sequence that is sensitive to magnetic susceptibility; and documented the number and anatomical distribution of cerebral microbleeds reliably using consensus criteria and validated scales. Our prespecified primary outcomes were a composite of any symptomatic intracranial haemorrhage or ischaemic stroke, symptomatic intracranial haemorrhage, and symptomatic ischaemic stroke. We registered this study with the PROSPERO international prospective register of systematic reviews, number CRD42016036602. FINDINGS: Between Jan 1, 1996, and Dec 1, 2018, we identified 344 studies. After exclusions for ineligibility or declined requests for inclusion, 20 322 patients from 38 cohorts (over 35 225 patient-years of follow-up; median 1·34 years [IQR 0·19-2·44]) were included in our analyses. The adjusted hazard ratio [aHR] comparing patients with cerebral microbleeds to those without was 1·35 (95% CI 1·20-1·50) for the composite outcome of intr

Published
2019

21. Reversible cerebral vasoconstriction syndrome: a comprehensive systematic review.

Author

SONG, T.-J., LEE, K. H., LI, H., KIM, J. Y., CHANG, K., KIM, S. H., HAN, K. H., KIM, B. Y., KRONBICHLER, A., DUCROS, A., KOYANAGI, A., JACOB, L., KIM, M. S., YON, D. K., LEE, S. W., YANG, J. M., HONG, S. H., GHAYDA, R. A., KANG, J. W., and SHIN, J. I.

Abstract

OBJECTIVE: We aimed to analyze clinical characteristics, treatment patterns, and prognosis of patients with reversible cerebral vasoconstriction syndrome (RCVS). MATERIALS AND METHODS: Two investigators independently searched PubMed and EMBASE, and 191 cases were included in this study. Information regarding demographics, triggering factors, brain imaging findings, treatment modalities, recurrence, and clinical outcome was collected. RESULTS: The mean age of the patients was 39.9 years, and 155 (81.2%) were female. The most common triggering factor for RCVS was an exposure to vasoactive substances (41.4%), followed by pregnancy/postpartum (20.9%), and sexual intercourse (10.5%). Multifocal stenosis (84.0%) and beading shape (82.4%) were the leading abnormal findings on angiography, while cerebral ischemic lesions (47.6%) and cerebral hemorrhage (mainly subarachnoid hemorrhage) (35.1%) were the main findings on brain computed tomography (CT)/magnetic resonance imaging (MRI). Calcium channel blockers (nimodipine/verapamil) were the most commonly used medications (44.5%) in the treatment of RCVS. Multivariate analysis identified that RCVS was precipitated by trauma/surgery/procedure (hazard ratio (HR): 3.29, 95% confidence interval (CI) (1.21-8.88), p=0.019), and presence of aphasia/neglect/apraxia during the acute phase of the disease (HR: 3.83, 95% CI (1.33-11.05), p=0.013) were found to be the two independent risk factors for residual neurological deficit after RCVS. CONCLUSIONS: In our systematic review, vasoactive substances were the most frequent triggers for RCVS, which was most commonly accompanied by angiographic findings of multifocal stenotic lesions. Patients with RCVS precipitated by trauma or surgical procedures and those with focal cortical deficits had a higher risk of residual neurological deficits, and these patients should closely be monitored. [ABSTRACT FROM AUTHOR]

Published
2021

23. Brain microbleeds, anticoagulation, and hemorrhage risk: Meta-analysis in stroke patients with AF.

Author

Imaizumi T., Veltkamp R., Flemming K.D., Srikanth V., Heo J.H., Charidimou A., Karayiannis C., Song T.-J., Orken D.N., Thijs V., Lemmens R., Kim J., Goh S.M., Phan T.G., Soufan C., Chandra R.V., Slater L.-A., Haji S., Mok V., Horstmann S., Leung K.T., Kawamura Y., Sato N., Hasebe N., Saito T., Wong L.K.S., Soo Y., Imaizumi T., Veltkamp R., Flemming K.D., Srikanth V., Heo J.H., Charidimou A., Karayiannis C., Song T.-J., Orken D.N., Thijs V., Lemmens R., Kim J., Goh S.M., Phan T.G., Soufan C., Chandra R.V., Slater L.-A., Haji S., Mok V., Horstmann S., Leung K.T., Kawamura Y., Sato N., Hasebe N., Saito T., Wong L.K.S., and Soo Y.

Abstract

Objectives: To assess the association between cerebral microbleeds (CMBs) and future spontaneous intracerebral hemorrhage (ICH) risk in ischemic stroke patients with nonvalvular atrial fibrillation (AF) taking oral anticoagulants. Method(s): This was a meta-analysis of cohort studies with.50 patients with recent ischemic stroke and documented AF, brain MRI at baseline, long-term oral anticoagulation treatment, and >=6 months of follow-up. Authors provided summary-level data on stroke outcomes stratified by CMB status. We estimated pooled annualized ICH and ischemic stroke rates from Poisson regression. We calculated odds ratios (ORs) of ICH by CMB presence/absence, >=5 CMBs, and CMB topography (strictly lobar, mixed, and strictly deep) using random-effects models. Result(s): We established an international collaboration and pooled data from 8 centers including 1,552 patients. The crude CMB prevalence was 30% and 7% for >=5 CMBs. Baseline CMB presence (vs no CMB) was associated with ICH during follow-up (OR 2.68, 95% confidence interval [CI] 1.19-6.01, p = 0.017). Presence of >=5 CMB was related to higher future ICH risk (OR 5.50, 95% CI 2.07-14.66, p = 0.001). The pooled annual ICH incidence increased from 0.30% (95% CI 0.04-0.55) among CMB-negative patients to 0.81% (95% CI 0.17-1.45) in CMB-positive patients (p = 0.01) and 2.48% (95% CI 1.2-6.2) in patients with >=5 CMBs (p = 0.001). There was no association between CMBs and recurrent ischemic stroke. Conclusion(s): The presence of CMB on MRI and the dichotomized cutoff of >=5 CMBs might identify subgroups of ischemic stroke patients with AF with high ICH risk and after further validation could help in risk stratification, in anticoagulation decisions, and in guiding randomized trials and ongoing large observational studies.Copyright © 2017 American Academy of Neurology.

Published
2018

24. 10nm 2nd generation BEOL technology with optimized illumination and LELELELE

Author

Jeong, W. C., primary, Ahn, J. H., additional, Bang, Y. S., additional, Yoon, Y. S., additional, Choi, J. Y., additional, Kim, Y. C., additional, Paek, S. W., additional, Ahn, S. W., additional, Kim, B. S., additional, Song, T. J., additional, Jung, J. H., additional, Do, J. H., additional, Lim, S. M., additional, Cho, H.-J., additional, Lee, J. H., additional, Kim, D. W., additional, Kang, S. B., additional, Ku, J.-H., additional, Kwon, S. D., additional, Jung, S.-M., additional, and Yoon, J. S., additional

Published
2017
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26. The OPERA experiment in the CERN to Gran Sasso neutrino beam

Author

Acquafredda, R., A, Adam, 1 T., Agafonova, b. N., Alvarez Sanchez, c. P., Ambrosio, d. M., Anokhina, a. A., Aoki, e. S., Ariga, f. A., Ariga, g. T., Arrabito, h. L., Aufranc, i. C., Autiero, i. D., Badertscher, i. A., Bagulya, j. A., Baussan, k. E., Bergnoli, b. A., L, Bersani Greggio, 2 F., Bertolin, m. A., Besnier, l. M., N, Biar ´e, 3 D., Bick, n. D., Blin, o. S., Borer, p. K., Boucrot, g. J., Boutigny, p. D., Boyarkin, 4 V., Bozza, c. C., Brugi `ere, q. T., Brugnera, i. R., R, Brunetti, l. G., S, Buontempo, t. S., Campagne, a. J. E., Carlus, p. B., Carrara, i. E., R, L, Cazes, 5 A., Chaussard, u. L., Chernyavsky, i. M., Chiarella, k. V., Chon Sen, u. N., Chukanov, b. A., Ciesielski, a. R., Consiglio, l. L., Cozzi, t. M., D’Amato, s. G., Dal Corso, q. F., D’Ambrosio, l. N., Damet, v. J., de La Taille, 6 C., De Lellis, p. G., W, A, D´eclais, 7 Y., Descombes, i. T., I, De Serio, 8 M., Di Capua, x. F., Di Ferdinando, a. D., Di Giovanni, t. A., Di Marco, y. N., Di Troia, y. C., Dick, u. N., Dmitrievski, b. S., Dominjon, z. A., Dracos, i. M., Duchesneau, b. D., Dulach, n. B., Dusini, u. S., Ebert, l. J., Efthymiopoulos, o. I., Egorov, d. O., Elsener, aa K., Enikeev, d. R., Ereditato, c. A., Esposito, g. L. S., Fanin, v. C., Favier, l. J., Felici, n. G., Ferber, u. T., Fini, o. R., Fournier, x. L., Franceschi, n. A., Frekers, u. D., Fukuda, ab T., Fukushima, h. C., Galkin, ac V. I., Galkin, e. V. A., Gallet, ad R., Gardien, n. S., Garfagnini, i. A., Gaudiot, l. G., Giacomelli, b. G., Giorgini, t. M., Girerd, t. C., Goellnitz, i. C., Goeltzenlichter, o. T., Goldberg, b. J., Golubkov, ae D., Gornushkin, aa Y., Grapton, z. J. N., Grella, b. G., Grianti, q. F., Gschwendtner, m. E., Guerin, d. C., Guler, i. M., Gustavino, a. f. C., Guyonnet, v. J. L., Hagner, b. C., Hamane, o. T., Hara, 9 T., Hauger, f. M., Hess, g. M., Hierholzer, g. M., Hoshino, ag K., Ieva, h. M., Incurvati, x. M., Jakovcic, u. K., Janicsko Csathy, ah J., Janutta, g. B., Jollet, o. C., Juget, b. F., Kazuyama, g. M., Kim, h. S. H., Khovansky, 10 N., Kimura, z. M., Klicek, ac B., Knuesel, ah J., Kodama, g. K., Kolev, a. j. D., Komatsu, M., Kose, h. U., a. f., Krasnoperov, 11 A., Kreslo, z. I., Krumstein, g. Z., Kutsenov, z. V. V., Kuznetsov, c. V. A., Laktineh, c. I., Lavy, i. M., Lazzaro, 12 C., j. T. D., Le, Le Flour, b. T., Lenkeit, n. J., Lewis, o. J., Lieunard, d. S., Ljubicic, n. A., Longhin, ah A., Lutter, r. G., Malgin, g. A., Manai, c. K., Mandrioli, i. G., Marotta, t. A., Marteau, a. J., Martin Chassard, i. G., Matveev, p. V., Mauri, c. N., Meddahi, t. M., Meisel, d. F., Meregaglia, g. A., Meschini, b. A., Messina, v. M., Migliozzi, g. P., Monacelli, a. P., Monteiro, y. I., Moreau, n. F., Morishima, 13 K., Moser, h. U., Muciaccia, g. M. T., Mugnier, x. P., Naganawa, n. N., Nakamura, h. M., Nakano, h. T., Napolitano, h. T., Nikitina, u. V., Niwa, e. K., Nonoyama, h. Y., Nozdrin, h. A., Ogawa, z. S., Olchevski, ac A., Orlandi, z. D., Orlova, v. G., Osedlo, k. V., Ossetski, e. D., Paniccia, ad M., Paoloni, u. A., Park, u. B. D., Park, h. I. G., Pastore, ai A., Patrizii, x. L., Pellegrino, t. L., Pennacchio, u. E., Pessard, i. H., Pilipenko, n. V., Pistillo, ab C., Polukhina, g. N., Pozzato, k. M., Pretzl, t. K., Publichenko, g. P., Pupilli, e. F., Raux, y. L., Repellin, p. J. P., Rescigno, p. R., Rizhikov, q. D., Roganova, ad T., Romano, e. G., Rosa, q. G., Rostovtseva, am I., Rubbia, aa A., Russo, j. A., W, Ryasny, a. V., Ryazhskaya, c. O., Sadovski, c. A., Sanelli, z. C., Sato, u. O., Sato, h. Y., Saveliev, an V., Sazhina, ad G., Schembri, e. A., Schmidt Parzefall, am W., Schroeder, o. H., Sch¨utz, ag H. U., Schuler, g. J., Scotto Lavina, b. L., Serrano, a. J., Shibuya, d. H., Simone, ac S., Sioli, x. M., Sirignano, Chiara, Sirri, q. G., Song, t. J. S., Spinetti, ai M., Stanco, u. L., Starkov, r. N., Stipcevic, k. M., Strauss, ah T., Strolin, j. P., Sugonyaev, a. V., Takahashi, 14 S., Talochkin, h. V., Tenti, c. M., Tereschenko, t. V., Terranova, z. F., U, Tezuka, 15 I., Tioukov, an V., Tolun, a. P., Tsarev, a. f. V., Tsenov, k. R., Tufanli, ak S., Ugolino, a. f. U., Ushida, a. N., Van Beek, a. j. G., Verguilov, ao V., Viant, ak T., Vilain, j. P., Vladimirov, ao M., Votano, k. L., Vuilleumier, u. J. L., Waelchli, g. T., Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Département Recherches Subatomiques (DRS-IPHC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), OPERA, Acquafredda, R, Adam, T, Agafonova, N, Sanchez, P, Ambrosio, M, Anokhina, A, Aoki, S, Ariga, A, Ariga, T, Arrabito, L, Aufranc, C, Autiero, D, Badertscher, A, Bagulya, A, Baussan, E, Bergnoli, A, Greggio, F, Bertolin, A, Besnier, M, Biaré, D, Bick, D, Blin, S, Borer, K, Boucrot, J, Boutigny, D, Boyarkin, V, Bozza, C, Brugière, T, Brugnera, R, Brunetti, G, Buontempo, S, Campagne, J, Carlus, B, Carrara, E, Cazes, A, Chaussard, L, Chernyavsky, M, Chiarella, V, Chon Sen, N, Chukanov, A, Ciesielski, R, Consiglio, L, Cozzi, M, D'Amato, G, Corso, F, D'Ambrosio, N, Damet, J, Taille, C, Lellis, G, Déclais, Y, Descombes, T, Serio, M, Capua, F, Ferdinando, D, Giovanni, A, Marco, N, Troia, C, Dick, N, Dmitrievski, S, Dominjon, A, Dracos, M, Duchesneau, D, Dulach, B, Dusini, S, Ebert, J, Efthymiopoulos, I, Egorov, O, Elsener, K, Enikeev, R, Ereditato, A, Esposito, L, Fanin, C, Favier, J, Felici, G, Ferber, T, Fini, R, Fournier, L, Franceschi, A, Frekers, D, Fukuda, T, Fukushima, C, Galkin, V, Gallet, R, Gardien, S, Garfagnini, A, Gaudiot, G, Giacomelli, G, Giorgini, M, Girerd, C, Goellnitz, C, Goeltzenlichter, T, Goldberg, J, Golubkov, D, Gornushkin, Y, Grapton, J, Grella, G, Grianti, F, Gschwendtner, E, Guerin, C, Guler, M, Gustavino, C, Guyonnet, J, Hagner, C, Hamane, T, Hara, T, Hauger, M, Hess, M, Hierholzer, M, Hoshino, K, Ieva, M, Incurvati, M, Jakovcic, K, Csathy, J, Janutta, B, Jollet, C, Juget, F, Kazuyama, M, Kim, S, Khovansky, N, Kimura, M, Klicek, B, Knuesel, J, Kodama, K, Kolev, D, Komatsu, M, Kose, U, Krasnoperov, A, Kreslo, I, Krumstein, Z, Kutsenov, V, Kuznetsov, V, Laktineh, I, Lavy, M, Lazzaro, C, Le, T, Flour, T, Lenkeit, J, Lewis, J, Lieunard, S, Ljubicic, A, Longhin, A, Lutter, G, Malgin, A, Manai, K, Mandrioli, G, Marotta, A, Marteau, J, Martin Chassard, G, Matveev, V, Mauri, N, Meddahi, M, Meisel, F, Meregaglia, A, Meschini, A, Messina, M, Migliozzi, P, Monacelli, P, Monteiro, I, Moreau, F, Morishima, K, Moser, U, Muciaccia, M, Mugnier, P, Naganawa, N, Nakamura, M, Nakano, T, Napolitano, T, Nikitina, V, Niwa, K, Nonoyama, Y, Nozdrin, A, Ogawa, S, Olchevski, A, Orlandi, D, Orlova, G, Osedlo, V, Ossetski, D, Paniccia, M, Paoloni, A, Park, B, Park, I, Pastore, A, Patrizii, L, Pellegrino, L, Pennacchio, E, Pessard, H, Pilipenko, V, Pistillo, C, Polukhina, N, Pozzato, M, Pretzl, K, Publichenko, P, Pupilli, F, Raux, L, Repellin, J, Rescigno, R, Rizhikov, D, Roganova, T, Romano, G, Rosa, G, Rostovtseva, I, Rubbia, A, Russo, A, Ryasny, V, Ryazhskaya, O, Sadovski, A, Sanelli, C, Sato, O, Sato, Y, Saveliev, V, Sazhina, G, Schembri, A, Parzefall, W, Schroeder, H, Schütz, H, Schuler, J, Lavina, L, Serrano, J, Shibuya, H, Simone, S, Sioli, M, Sirignano, C, Sirri, G, Song, J, Spinetti, M, Stanco, L, Starkov, N, Stipcevic, M, Strauss, T, Strolin, P, Sugonyaev, V, Takahashi, S, Talochkin, V, Tenti, M, Tereschenko, V, Terranova, F, Tezuka, I, Tioukov, V, Tolun, P, Tsarev, V, Tsenov, R, Tufanli, S, Ugolino, U, Ushida, N, Beek, G, Verguilov, V, Viant, T, Vilain, P, Vladimirov, M, Votano, L, Vuilleumier, J, Waelchli, T, Weber, M, Wilquet, G, Wonsak, B, Wurtz, J, Yakushev, V, Yoon, C, Zaitsev, Y, Zghiche, A, Zimmermann, R, Sanchez, P. Alvarez, Greggio, F. Bersani, Campagne, J. E, Corso, F. Dal, Taille, C. de La, Lellis, G. De, Serio, M. De, DI CAPUA, Francesco, Ferdinando, D. Di, Giovanni, A. Di, Marco, N. Di, Troia, C. Di, Esposito, L. S, Galkin, V. I, Galkin, V. A, Grapton, J. N, Guyonnet, J. L, Csathy, J. Janicsko, Kim, S. H, Kutsenov, V. V, Kuznetsov, V. A, Le, T. D, Flour, T. Le, Muciaccia, M. T, Park, B. D, Park, I. G, Repellin, J. P, Parzefall, W. Schmidt, Schütz, H. U, Lavina, L. Scotto, Song, J. S, Beek, G. Van, Vuilleumier, J. L, Yoon, C. S, Zimmermann, R., R. ACQUAFREDDA, T. ADAM, N. AGAFONOVA, P. ALVAREZ SANCHEZ, M. AMBROSIO, A. ANOKHINA, S. AOKI, A. ARIGA, T. ARIGA, L. ARRABITO, C. AUFRANC, D. AUTIERO, A. BADERTSCHER, A. BAGULYA, E. BAUSSAN, A. BERGNOLI, F. BERSANI GREGGIO, A. BERTOLIN, M. BESNIER, D. BIARÉ, D. BICK, S. BLIN, K. BORER, J. BOUCROT, D. BOUTIGNY, V. BOYARKIN, C. BOZZA, T. BRUGIÈRE, R. BRUGNERA, G. BRUNETTI, S. BUONTEMPO, J.E. CAMPAGNE, B. CARLUS, E. CARRARA, A. CAZES, L. CHAUSSARD, M. CHERNYAVSKY, V. CHIARELLA, N. CHON-SEN, A. CHUKANOV, R. CIESIELSKI, L. CONSIGLIO, M. COZZI, G. D’AMATO, F. DAL CORSO, N. D’AMBROSIO, J. DAMET, C. DE LA TAILLE, G. DE LELLIS, Y. D´ECLAIS, T. DESCOMBES, M. DE SERIO, F. DI CAPUA, D. DI FERDINANDO, A. DI GIOVANNI, N. DI MARCO, C. DI TROIA, N. DICK, S. DMITRIEVSKI, A. DOMINJON, M. DRACOS, D. DUCHESNEAU, B. DULACH, S. DUSINI, J. EBERT, I. EFTHYMIOPOULOS, O. EGOROV, K. ELSENER, R. ENIKEEV, A. EREDITATO, L. S. ESPOSITO, C. FANIN, J. FAVIER, G. FELICI, T. FERBER, R. FINI, L. FOURNIER, A. FRANCESCHI, D. FREKERS, T. FUKUDA, C. FUKUSHIMA, V.I. GALKIN, V.A. GALKIN, R. GALLET, S. GARDIEN, A. GARFAGNINI, G. GAUDIOT, G. GIACOMELLI, M. GIORGINI, C. GIRERD, C. GOELLNITZ, T. GOELTZENLICHTER, J. GOLDBERG, D. GOLUBKOV, Y. GORNUSHKIN, J.-N. GRAPTON, G. GRELLA, F. GRIANTI, E. GSCHWENDTNER, C. GUERIN, M. GULER, C. GUSTAVINO, J.-L. GUYONNET, C. HAGNER, T. HAMANE, T. HARA, M. HAUGER, M. HESS, M. HIERHOLZER, K. HOSHINO, M. IEVA, M. INCURVATI, K. JAKOVCIC, J. JANICSKO CSATHY, B. JANUTTA, C. JOLLET, F. JUGET, M. KAZUYAMA, S.H. KIM, N. KHOVANSKY, M. KIMURA, B. KLICEK, J. KNUESEL, K. KODAMA, D. KOLEV, M. KOMATSU, U. KOSE, A. KRASNOPEROV, I. KRESLO, Z. KRUMSTEIN, V.V. KUTSENOV, V.A. KUZNETSOV, I. LAKTINEH, M. LAVY, C. LAZZARO, T.D. LE, T. LE FLOUR, J. LENKEIT, J. LEWIS, S. LIEUNARD, A. LJUBICIC, A. LONGHIN, G. LUTTER, A. MALGIN, K. MANAI, G. MANDRIOLI, A. MAROTTA, J. MARTEAU, G. MARTIN-CHASSARD, V. MATVEEV, N. MAURI, M. MEDDAHI, F. MEISEL, A. MEREGAGLIA, A. MESCHINI, M. MESSINA, P. MIGLIOZZI, P. MONACELLI, I. MONTEIRO, F. MOREAU, K. MORISHIMA, U. MOSER, M.T. MUCIACCIA, P. MUGNIER, N. NAGANAWA, M. NAKAMURA, T. NAKANO, T. NAPOLITANO, V. NIKITINA, K. NIWA, Y. NONOYAMA, A. NOZDRIN, S. OGAWA, A. OLCHEVSKI, D. ORLANDI, G. ORLOVA, V. OSEDLO, D. OSSETSKI, M. PANICCIA, A. PAOLONI, B. D PARK, I.G. PARK, A. PASTORE, L. PATRIZII, L. PELLEGRINO, E. PENNACCHIO, H. PESSARD, V. PILIPENKO, C. PISTILLO, N. POLUKHINA, M. POZZATO, K. PRETZL, P. PUBLICHENKO, F. PUPILLI, L. RAUX, J.P. REPELLIN, R. RESCIGNO, D. RIZHIKOV, T. ROGANOVA, G. ROMANO, G. ROSA, I. ROSTOVTSEVA, A. RUBBIA, J A. RUSSO, V. RYASNY, O. RYAZHSKAYA, A. SADOVSKI, C. SANELLI, O. SATO, Y. SATO, V. SAVELIEV, G. SAZHINA, A. SCHEMBRI, W. SCHMIDT PARZEFALL, H. SCHROEDER, H.U. SCH¨UTZ, J. SCHULER, L. SCOTTO LAVINA, J. SERRANO, H. SHIBUYA, S. SIMONE, M. SIOLI, C. SIRIGNANO, G. SIRRI, J.S. SONG, M. SPINETTI, L. STANCO, N. STARKOV, M. STIPCEVIC, T. STRAUSS, P. STROLIN, V. SUGONYAEV, S. TAKAHASHI, V. TALOCHKIN, M. TENTI, V. TERESCHENKO, F. TERRANOVA, I. TEZUKA, V. TIOUKOV, P. TOLUN, V. TSAREV, R. TSENOV, S. TUFANLI, U. UGOLINO, N. USHIDA, G. VAN BEEK, V. VERGUILOV, T. VIANT, P. VILAIN, M. VLADIMIROV, L. VOTANO, J.L. VUILLEUMIER, T. WAELCHLI, M. WEBER, G. WILQUET, B. WONSAK, J. WURTZ, V. YAKUSHEV, C.S. YOON, Y. ZAITSEV, A. ZGHICHEN, R. ZIMMERMANN, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), and Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Particle physics, [PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], NEUTRINO OSCILLATIONS, FUNDAMENTAL PHYSICS, Physics::Instrumentation and Detectors, 7. Clean energy, 01 natural sciences, Nuclear physics, neutrino, Particle tracking detectors, 0103 physical sciences, Nuclear emulsion, Detectors and Experimental Techniques, 010306 general physics, Neutrino oscillation, Instrumentation, Mathematical Physics, ICARUS, Physics, Large Hadron Collider, Spectrometers, Large detector systems for particle and astroparticle physics, 010308 nuclear & particles physics, Hybrid detector, [SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], Detector, Hybrid detectors, NEUTRINO DETECTORS, Particle tracking detector, FIS/01 - FISICA SPERIMENTALE, Large detector systems for particle and astroparticle physic, Physique des particules élémentaires, PARTICLE PHYSICS, High Energy Physics::Experiment, hybrid detectors, particle tracking detectors, large detector systems for particle and astroparticle physics, spectrometers, Supermodule, Neutrino, Lepton
Abstract

The OPERA neutrino oscillation experiment has been designed to prove the appearance of ντ in a nearly pure νμ beam (CNGS) produced at CERN and detected in the underground Hall C of the Gran Sasso Laboratory, 730 km away from the source. In OPERA, τ leptons resulting from the interaction of ντ are produced in target units called bricks made of nuclear emulsion films interleaved with lead plates. The OPERA target contains 150000 of such bricks, for a total mass of 1.25 kton, arranged into walls interleaved with plastic scintillator strips. The detector is split into two identical supermodules, each supermodule containing a target section followed by a magnetic spectrometer for momentum and charge measurement of penetrating particles. Real time information from the scintillators and the spectrometers provide the identification of the bricks where the neutrino interactions occurred. The candidate bricks are extracted from the walls and, after X-ray marking and an exposure to cosmic rays for alignment, their emulsion films are developed and sent to the emulsion scanning laboratories to perform the accurate scan of the event. In this paper, we review the design and construction of the detector and of its related infrastructures, and report on some technical performances of the various components. The construction of the detector started in 2003 and it was completed in Summer 2008. The experiment is presently in the data taking phase. The whole sequence of operations has proven to be successful, from triggering to brick selection, development, scanning and event analysis. © 2009 IOP Publishing Ltd and SISSA., 0, P04018, SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2009
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32. Nerve Sparing Radical Hysterectomy

Author

Choi, C.H., primary, Park, H-S., additional, Kim, M.K., additional, Song, T-J., additional, Lee, Y-Y., additional, Kim, T-J., additional, Lee, J-W., additional, Kim, B-G., additional, and Bae, D-S., additional

Published
2010
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37. The frequency of cerebral microbleeds increases with CHADS2 scores in stroke patients with non-valvular atrial fibrillation.

Author

Song, T.‐J., Kim, J., Lee, H. S., Nam, C. M., Nam, H. S., Heo, J. H., and Kim, Y. D.

Subjects
*STROKE patients, *CEREBRAL amyloid angiopathy, *ATRIAL fibrillation, *MAGNETIC resonance imaging, *BRAIN imaging
Abstract

Background and purpose Cerebral microbleeds ( CMBs) are extravasations of blood from lipohyalinized or amyloid angiopathic cerebral arterioles, and the presence and numbers of CMBs are significantly associated with the development of oral anticoagulation ( OA)-related intracranial haemorrhage ( ICH). The aim of this study was to investigate whether there is a difference in CMBs burden according to CHADS2 scores or CHA2 DS2- VASc scores in non-valvular atrial fibrillation ( NVAF) patients. Methods We included 550 ischaemic stroke patients who had NVAF and who had undergone brain magnetic resonance imaging ( MRI) with gradient-recalled echo ( GRE) T2 sequences from our prospective stroke registry between January 2005 and November 2011. We calculated CHADS2 scores and CHA2 DS2- VASc scores for all patients based on their underlying cardiovascular diseases. The presence, location and number of CMBs were assessed in each patient. We also investigated whether the CMBs were actually associated with the development of ICH during follow-up. Results The mean patient age was 70.4 ± 10.5 years, and 324 (58.9%) patients were men. One-hundred and seventy-three patients (31.5%) had CMBs detected on GRE MRI. Higher CHADS2 scores or CHA2 DS2- VASc scores were strongly associated with the presence and number of CMBs. During follow-up of median 3.1 ± 1.6 years, the presence of CMBs was independently associated with the development of ICH, whilst the CHADS2 scores or CHA2 DS2- VASc scores were not. Conclusions Considering the positive association between the presence of CMBs and OA-related ICH, our results suggest that the increase in ICH in high-risk groups during OA may be related to an increased burden of CMBs. [ABSTRACT FROM AUTHOR]

Published
2013
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38. [Expert consensus on visualized tele-round and quality control management based on the improvement of clinical practice ability].

Author

Yin MG, Wang XT, Zhou R, Liu DW, Kang Y, Tang YQ, Ma XC, Li JG, Hu ZJ, Zhang HT, He W, Liu LX, Chen WJ, Zhu R, Wu J, Zhang HM, Zhang LN, Chai WZ, Zhu SH, Xu WB, Sun RQ, Yu XY, Song TJ, Zhu Y, Ren H, Shanmu SM, Zhang Q, Fang W, Shang XL, Lyu LW, Cai SH, Ding X, Zhang H, Feng G, Zhang LP, Hu B, Zhang D, Wu WD, Shen F, Yang XJ, Zeng ZG, Huang QB, Zeng XY, Zou TJ, Peng ML, Yao YL, Chen MM, Lian H, Wang JM, Li Y, Qu F, Ye G, Yang RL, Chen XK, Li SW, Wang JX, and Chao YG

Subjects
Humans, China, Consensus, Quality Control, Critical Care methods, Critical Care standards, Critical Illness therapy, Telemedicine
Abstract

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor's professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Published
2025
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39. [Expert consensus on late stage of critical care management].

Author

Tang B, Chen WJ, Jiang LD, Zhu SH, Song B, Chao YG, Song TJ, He W, Liu Y, Zhang HM, Chai WZ, Yin MG, Zhu R, Liu LX, Wu J, Ding X, Shang XL, Duan J, Xu QH, Zhang H, Wang XM, Huang QB, Gong RC, Li ZZ, Lu MS, and Wang XT

Subjects
Humans, Consensus, Intensive Care Units, Pain drug therapy, Analgesics therapeutic use, Critical Illness, Critical Care methods, Delirium therapy
Abstract

We wished to establish an expert consensus on late stage of critical care (CC) management. The panel comprised 13 experts in CC medicine. Each statement was assessed based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) principle. Then, the Delphi method was adopted by 17 experts to reassess the following 28 statements. (1) ESCAPE has evolved from a strategy of delirium management to a strategy of late stage of CC management. (2) The new version of ESCAPE is a strategy for optimizing treatment and comprehensive care of critically ill patients (CIPs) after the rescue period, including early mobilization, early rehabilitation, nutritional support, sleep management, mental assessment, cognitive-function training, emotional support, and optimizing sedation and analgesia. (3) Disease assessment to determine the starting point of early mobilization, early rehabilitation, and early enteral nutrition. (4) Early mobilization has synergistic effects upon the recovery of organ function. (5) Early functional exercise and rehabilitation are important means to promote CIP recovery, and gives them a sense of future prospects. (6) Timely start of enteral nutrition is conducive to early mobilization and early rehabilitation. (7) The spontaneous breathing test should be started as soon as possible, and a weaning plan should be selected step-by-step. (8) The waking process of CIPs should be realized in a planned and purposeful way. (9) Establishment of a sleep-wake rhythm is the key to sleep management in post-CC management. (10) The spontaneous awakening trial, spontaneous breathing trial, and sleep management should be carried out together. (11) The depth of sedation should be adjusted dynamically in the late stage of CC period. (12) Standardized sedation assessment is the premise of rational sedation. (13) Appropriate sedative drugs should be selected according to the objectives of sedation and drug characteristics. (14) A goal-directed minimization strategy for sedation should be implemented. (15) The principle of analgesia must be mastered first. (16) Subjective assessment is preferred for analgesia assessment. (17) Opioid-based analgesic strategies should be selected step-by-step according to the characteristics of different drugs. (18) There must be rational use of non-opioid analgesics and non-drug-based analgesic measures. (19) Pay attention to evaluation of the psychological status of CIPs. (20) Cognitive function in CIPs cannot be ignored. (21) Delirium management should be based on non-drug-based measures and rational use of drugs. (22) Reset treatment can be considered for severe delirium. (23) Psychological assessment should be conducted as early as possible to screen-out high-risk groups with post-traumatic stress disorder. (24) Emotional support, flexible visiting, and environment management are important components of humanistic management in the intensive care unit (ICU). (25) Emotional support from medical teams and families should be promoted through"ICU diaries"and other forms. (26) Environmental management should be carried out by enriching environmental content, limiting environmental interference, and optimizing the environmental atmosphere. (27) Reasonable promotion of flexible visitation should be done on the basis of prevention of nosocomial infection. (28) ESCAPE is an excellent project for late stage of CC management.

Published
2023
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40. Tumor immune-gene expression profiles and peripheral immune phenotypes associated with clinical outcomes of locally advanced pancreatic cancer following FOLFIRINOX.

Author

Hyung J, Lee H, Jin H, Lee S, Lee HJ, Gong G, Song TJ, Lee SS, Hwang DW, Kim SC, Jeong JH, Ryoo BY, Kim K, and Yoo C

Subjects
Fluorouracil pharmacology, Fluorouracil therapeutic use, Humans, Irinotecan pharmacology, Irinotecan therapeutic use, Leucovorin pharmacology, Leucovorin therapeutic use, Oxaliplatin pharmacology, Oxaliplatin therapeutic use, Phenotype, Transcriptome, Tumor Microenvironment, Antineoplastic Combined Chemotherapy Protocols adverse effects, Pancreatic Neoplasms drug therapy, Pancreatic Neoplasms genetics, Pancreatic Neoplasms pathology
Abstract

Background: A comprehensive analysis of peripheral immune cell phenotypes and tumor immune-gene expression profiles in locally advanced pancreatic cancer patients treated with neoadjuvant chemotherapy in a phase II clinical trial was carried out., Methods: Patients were treated with neoadjuvant modified folinic acid, fluorouracil, irinotecan hydrochloride, oxaliplatin (mFOLFIRINOX) followed by surgery and adjuvant gemcitabine at the Asan Medical Center. Correlations between survival outcomes and baseline peripheral immune cells and their changes during preoperative chemotherapy were analyzed. Patients who had surgery were divided into two groups according to achievement of disease-free survival >10 months (achieved versus failed). Differential expression and pathway analysis of immune-related genes were carried out using the Nanostring platform, and immune cells within the tumor microenvironment were compared by immunohistochemistry., Results: Forty-four patients were treated in the phase II clinical trial. Higher baseline CD14+CD11c+HLA-DR+ monocytes (P = 0.044) and lower Foxp3+CD4+ T cells (P = 0.02) were associated with poor progression-free survival of neoadjuvant mFOLFIRINOX. During the preoperative chemotherapy, PD-1 T cells significantly decreased (P = 0.0110). Differential expression and pathway analysis of immune-genes from the resected tumor after neoadjuvant treatment revealed transforming growth factor-β pathway enrichment and higher expression of MARCO (adjusted P < 0.05) associated with early recurrence. Enrichment of the Th1 pathway and higher peritumoral CD8+ T cells (P = 0.0103) were associated with durable disease-free survival from surgery (>10 months) following neoadjuvant mFOLFIRINOX., Conclusions: Our results identify potential immune biomarkers for locally advanced pancreatic cancer and provide insights into pancreatic cancer immunity., Competing Interests: Disclosure The authors have declared no conflicts of interest. Ethics approval and consent to participate All procedures in studies involving human participants were carried out in accordance with the ethical standards of the Institutional Review Board of Asan Medical Center, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards (IRB approval number 2016-0010)., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Published
2022
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41. Empirical assessment of biases in cerebrospinal fluid biomarkers of Alzheimer's disease: an umbrella review and re-analysis of data from meta-analyses.

Author

Jeong DY, Lee J, Kim JY, Lee KH, Li H, Lee JY, Jeong GH, Yoon S, Park EL, Hong SH, Kang JW, Song TJ, Leyhe T, Eisenhut M, Kronbichler A, Smith L, Solmi M, Stubbs B, Koyanagi A, Jacob L, Stickley A, Thompson T, Dragioti E, Oh H, Brunoni AR, Carvalho AF, Kim MS, Yon DK, Lee SW, Yang JM, Ghayda RA, Shin JI, and Fusar-Poli P

Subjects
Humans, Alzheimer Disease diagnosis, Biomarkers cerebrospinal fluid
Abstract

Objective: Alzheimer's disease (AD) is a leading cause of years lived with disability in older age, and several cerebrospinal fluid (CSF) markers have been proposed in individual meta-analyses to be associated with AD but field-wide evaluation and scrutiny of the literature is not available., Materials and Methods: We performed an umbrella review for the reported associations between CSF biomarkers and AD. Data from available meta-analyses were reanalyzed using both random and fixed effects models. We also estimated between-study heterogeneity, small-study effects, excess significance, and prediction interval., Results: A total of 38 meta-analyses on CSF markers from 11 eligible articles were identified and reanalyzed. In 14 (36%) of the meta-analyses, the summary estimate and the results of the largest study showed non-concordant results in terms of statistical significance. Large heterogeneity (I2≥75%) was observed in 73% and small-study effects under Egger's test were shown in 28% of CSF biomarkers., Conclusions: Our results suggest that there is an excess of statistically significant results and significant biases in the literature of CSF biomarkers for AD. Therefore, the results of CSF biomarkers should be interpreted with caution.

Published
2021
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42. Differential impact of unrecognised brain infarction on stroke outcome in non-valvular atrial fibrillation.

Author

Song TJ, Kim J, Lee HS, Nam CM, Nam HS, Kim EH, Lee KJ, Song D, Heo JH, and Kim YD

Subjects
Aged, Aged, 80 and over, Atrial Fibrillation diagnosis, Cerebral Infarction diagnosis, Chi-Square Distribution, Disability Evaluation, Female, Humans, Linear Models, Logistic Models, Magnetic Resonance Imaging, Male, Middle Aged, Multivariate Analysis, Odds Ratio, Predictive Value of Tests, Prognosis, Registries, Republic of Korea, Retrospective Studies, Risk Factors, Severity of Illness Index, Stroke diagnosis, Time Factors, Atrial Fibrillation epidemiology, Cerebral Infarction epidemiology, Stroke epidemiology
Abstract

There has been little information regarding the impact of unrecognised brain infarctions (UBIs) on stroke outcome in patients with non-valvular atrial fibrillation (NVAF). By using volumetric analysis of ischaemic lesions, we evaluated the potential impact of UBIs on clinical outcome according to their presence and categorised type. This study enrolled 631 patients with NVAF having no clinical stroke history. UBIs were categorised into three types as territorial, lacunar, or subcortical. We collected stroke severity, functional outcome at three months, and the total volume of UBIs and acute infarction lesions. We investigated the association between clinical outcome and the type or volume of UBI, using a linear mixed model and logistic regression analysis. UBIs were detected in 285 (45.2 %) patients; territorial UBIs were observed in 24.4 % of patients (154/631), lacunar UBIs in 25 % (158/631), and subcortical UBIs in 15.7 % (99/631). Although initial stroke severity was not different between patients with UBIs and those without, those with UBIs had less improvement during hospitalisation, leading to poorer outcome at three months. Among the three types of UBIs, only territorial UBIs were associated with poor outcome, especially in patients with relatively smaller acute infarction volume. UBIs, in particular, territorial UBIs, may be considered as predictors for poor outcome after ischaemic stroke in patients with NVAF. Our results suggest that the impact of UBIs on clinical outcome differs according to the type of UBIs and the acute stroke severity.

Published
2014
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43. Does procurement technique affect posttransplant graft function in deceased donor liver transplantation?

Author

Jung SW, Kim DS, Yu YD, Ji WB, Park PJ, Choi SB, Park JW, Yoon SY, Han HJ, Song TJ, Choi SY, and Suh SO

Subjects
Aged, Alanine Transaminase blood, Aspartate Aminotransferases blood, Bilirubin blood, Cohort Studies, Female, Humans, Male, Middle Aged, Prothrombin Time, Liver Transplantation, Tissue Donors
Abstract

Introduction: Various techniques have been described deceased donor liver transplantation (DDLT) procurement. One is a technique whereby almost total dissection is done in the porta hepatis and perihepatic detachment is carried out before cross-clamping the donor aorta. In another approach, after the donor aorta is cross-clamped, rapid and minimal en bloc dissection is performed with minimal manipulation. We evaluated early posttransplant graft function among liver procurement techniques., Method: Between January 2008 and August 2012, we performed 45 consecutive adult DDLTs. One patient was excluded from this analysis due to early death from sepsis after transplantation. The 44 included patients were divided into two cohorts according to the procurement technique: A warm dissection (n = 23; 52%) and a cold dissection group (n = 21; 48%). We compared early posttransplant graft function using the aspartate aminotransferase (AST), alanine aminotransferase (ALT), total bilirubin (T-bil), and prothrombin time (PT) values of the two groups from the first to seventh postoperative day., Result: The AST values in the warm group were significantly greater than those in the cold group on postoperative days 3 and 5. In addition, the ALT values in the warm group were greater than those in the cold group on postoperative days 4, 5, and 6. Moreover, the T-bil values in the warm group were greater than those in the cold group on postoperative days 2, 3, 4, 5, 6, and 7. However, there were no differences in PT values., Conclusion: During liver procurement for DDLT, rapid en bloc procurement with minimal manipulation after clamping the donor aorta achieved better early graft function posttransplantation., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Published
2013
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44. Laparoscopic-assisted resection of ileal lipoma causing ileo-ileo-colic intussusception.

Author

Park KT, Kim SH, Song TJ, and Moon HY

Subjects
Adult, Humans, Laparoscopy, Male, Ileal Diseases surgery, Ileal Neoplasms surgery, Intussusception surgery, Lipoma surgery
Abstract

Adult intussusception is rare, and the majority of cases has an underlying cause that requires surgical resection. We report a case of a 39 yr-old man with ileo-ileo-colic intussusception caused by ileal lipoma that was successfully managed by a laparoscopic-assisted surgical maneuver. Using a three-cannula technique, ileo-colic intussusception was reduced laparoscopically. Then, through a 4-cm transverse incision in the right lower quadrant abdomen, ileo-ileal intussusception was reduced manually, and a resection of the tumor-bearing ileal segment and end-to-end anastomosis was performed extracorporeally. Although the role of laparoscopy in managing intussusception is not clearly defined, laparoscopy may be an alternative approach to the surgical treatment of adult intussusception in selected cases.

Published
2001
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45. Correlation of esophageal lengths with measurable external parameters.

Author

Song TJ, Kim YH, Ryu HS, and Hyun JH

Subjects
Adolescent, Adult, Aged, Body Constitution, Body Height, Esophagoscopy, Female, Humans, Male, Middle Aged, Esophagus anatomy & histology
Abstract

Previous data for esophageal lengths are based on age related groups or cadaveric examination, both of which are improper for application to various individualized procedures. Because of the variability in height for any given age and longer length in vivo, individualized approximation is needed. Thus, we measured various anatomical levels of the esophagus using a flexible endoscope and correlated these data with measurable external body intervals. The mean esophageal length was 40.92 +/- 2.79, which is longer than the length derived from cadaveric examinations. Also, esophageal lengths which correlated better with height than any other body intervals, could be calculated from the following equation. Esophageal length from the upper incisors to the esophagogastric junction (L) can be expressed: L = 0.242 x height (Ht) + 2.078 cm (P = 0.000, R2 = 0525). The data from our study indicate that esophageal length can be reliably predicted using external body parameters before employing various procedures.

Published
1991
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46. A case of primary T-cell lymphoma of the duodenum.

Author

Kim YH, Song TJ, Ryu HS, Hyun JH, Suh SO, Kim JM, and Kim IS

Subjects
Adult, Duodenal Neoplasms immunology, Humans, Immunohistochemistry, Lymphoma, T-Cell immunology, Male, Duodenal Neoplasms diagnosis, Lymphoma, T-Cell diagnosis
Abstract

Primary malignant lymphoma located in the duodenum is a rarity. A case of primary lymphoma of the duodenum in a 27-year-old man, in which the 2 discrete masses of duodenal bulb and the second portion with pancreatic head invasion was found, is reported here. Immunohistochemical evaluation of the present case showed that lymphoma cells expressed the T-cell markers MT1 and UCHL1. Treatment consisted of pancreaticoduodenectomy followed by antineoplastic chemotherapy.

Published
1991
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