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565 results on '"Nam, Hyo Suk"'

2. Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study

Author

Park, Eunjeong, Lee, Kijeong, Han, Taehwa, and Nam, Hyo Suk

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundSubtle abnormal motor signs are indications of serious neurological diseases. Although neurological deficits require fast initiation of treatment in a restricted time, it is difficult for nonspecialists to detect and objectively assess the symptoms. In the clinical environment, diagnoses and decisions are based on clinical grading methods, including the National Institutes of Health Stroke Scale (NIHSS) score or the Medical Research Council (MRC) score, which have been used to measure motor weakness. Objective grading in various environments is necessitated for consistent agreement among patients, caregivers, paramedics, and medical staff to facilitate rapid diagnoses and dispatches to appropriate medical centers. ObjectiveIn this study, we aimed to develop an autonomous grading system for stroke patients. We investigated the feasibility of our new system to assess motor weakness and grade NIHSS and MRC scores of 4 limbs, similar to the clinical examinations performed by medical staff. MethodsWe implemented an automatic grading system composed of a measuring unit with wearable sensors and a grading unit with optimized machine learning. Inertial sensors were attached to measure subtle weaknesses caused by paralysis of upper and lower limbs. We collected 60 instances of data with kinematic features of motor disorders from neurological examination and demographic information of stroke patients with NIHSS 0 or 1 and MRC 7, 8, or 9 grades in a stroke unit. Training data with 240 instances were generated using a synthetic minority oversampling technique to complement the imbalanced number of data between classes and low number of training data. We trained 2 representative machine learning algorithms, an ensemble and a support vector machine (SVM), to implement auto-NIHSS and auto-MRC grading. The optimized algorithms performed a 5-fold cross-validation and were searched by Bayes optimization in 30 trials. The trained model was tested with the 60 original hold-out instances for performance evaluation in accuracy, sensitivity, specificity, and area under the receiver operating characteristics curve (AUC). ResultsThe proposed system can grade NIHSS scores with an accuracy of 83.3% and an AUC of 0.912 using an optimized ensemble algorithm, and it can grade with an accuracy of 80.0% and an AUC of 0.860 using an optimized SVM algorithm. The auto-MRC grading achieved an accuracy of 76.7% and a mean AUC of 0.870 in SVM classification and an accuracy of 78.3% and a mean AUC of 0.877 in ensemble classification. ConclusionsThe automatic grading system quantifies proximal weakness in real time and assesses symptoms through automatic grading. The pilot outcomes demonstrated the feasibility of remote monitoring of motor weakness caused by stroke. The system can facilitate consistent grading with instant assessment and expedite dispatches to appropriate hospitals and treatment initiation by sharing auto-MRC and auto-NIHSS scores between prehospital and hospital responses as an objective observation.

Published
2020
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9. Effectiveness of endovascular treatment for in-hospital stroke vs. community-onset stroke: a propensity score-matched analysis

Author

Jung, Jae Wook, Kim, Kwang Hyun, Yun, Jaeseob, Nam, Hyo Suk, Heo, Ji Hoe, Baik, Minyoul, Yoo, Joonsang, Kim, Jinkwon, Park, Hyungjong, Sohn, Sung-Il, Hong, Jeong-Ho, Kim, Byung Moon, Kim, Dong Joon, Heo, JoonNyung, Bang, Oh Young, Seo, Woo-Keun, Chung, Jong-Won, Lee, Kyung-Yul, Jung, Yo Han, Lee, Hye Sun, Ahn, Seong Hwan, Shin, Dong Hoon, Choi, Hye-Yeon, Cho, Han-Jin, Baek, Jang-Hyun, Kim, Gyu Sik, Seo, Kwon-Duk, Kim, Seo Hyun, Song, Tae-Jin, Han, Sang Won, Park, Joong Hyun, Choi, Jin Kyo, and Kim, Young Dae

Published
2024
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14. More Than 50 Percent Reduction in LDL Cholesterol in Patients With Target LDL <70 mg/dL After a Stroke

Author

Amarenco, Pierre, Lavallée, Philippa C., Kim, Jong S., Labreuche, Julien, Charles, Hugo, Giroud, Maurice, Lee, Byung-Chul, Mahagne, Marie-Hélène, Meseguer, Elena, Nighoghossian, Norbert, Steg, Philippe Gabriel, Vicaut, Éric, Bruckert, Eric, Kim, Jong S, Touboul, Pierre-Jean, Leys, Didier, Béjot, Yannick, Pico, Fernando, Touzé, Emmanuel, Ducrocq, Gregory, Abtan, Jérémy, Varenne, Olivier, Touboul, Pierre-Jean, Kemmel, Agnes, Syana, Fausta, Ledra, Manele, Nagasara, Tharani, Ledjeroud, Mervette, Samia, Bahous, Hadia, Hafirassou, Hazare, Benyoub, Jaghouni, Ikrame El, Yelles, Nessima, Zemouri, Sofia, Ladjeroud, Mervette, Kerai, Salim, In, YunJeong, Hobeanu, Cristina, Guidoux, Celine, Cabrejo, Lucie, Lapergue, Bertrand, Sabben, Candice, Gonzalez-Valcarcel, Jaime, Rigual, Ricardo, Sirimarco, Gaia, Martin-Bechet, Anna, Viedma, Elena, Avram, Ioan, Samson, Yves, Rosso, Charlotte, Crozier, Sophie, Leder, Sara, Léger, Anne, Deltour, Sandrine, Mutlu, Gurkan, Yger, Marion, Zavanone, Chiara, Baronnet, Flore, Pires, Christine, Lapergue, Bertrand, Wang, Adrien, Evrard, Serge, Tchikviladze, Maya, Bourdain, Frédéric, Lopez, Delphine, Pico, Fernando, de la Tour, Laetitia Bayon, Chadenat, Marie-Laure, Duong, Duc Long, Genty, Solène, Hirel, Catherine, Mutlu, Gurkan, Nifle, Chantal, Servan, Jérôme, Stanciu, Daniela, Sudacevschi, Veronica, Tir, Mélissa, Troussière, Anne-Cécile, Yeung, Jennifer, Zeghoudi, Anne-Céline, Tidafi-Bayou, Ikram, Lachaud, Sylvain, Cho, Tae-Hee, Mechtouff, Laura, Ritzenthaller, Thomas, Derex, Laurent, Albanesi, Carlo, Ong, Elodie, Benoit, Amandine, Berhoune, Nadia, Felix, Sandra, Esteban-Mader, Maud, Sibon, Igor, Kazadi, Annabelle, Rouanet, François, Renou, Pauline, Debruxelles, Sabrina, Poli, Mathilde, Sagnier, Sharmila, Mas, Jean-Louis, Domigo, Valérie, Lamy, Catherine, Bodiguel, Eric, Grimaud, Jérôme, Bohotin, Valentin, Obadia, Michael, Sabben, Candice, Morvan, Erwan, Rodier, Gilles, Vadot, Wilfried, Hénon, Hilde, Cordonnier, Charlotte, Dumont, Frédéric, Bodenant, Marie, Lucas, Christian, Moulin, Solène, Dequatre, Nelly, Alamowitch, Sonia, Muresan, Jean-Paul, Drouet, Thomas, Gallea, Magalie, Dalloz, Marie-Amélie, Delorme, Stephen, Yger, Marion, Béjot, Yannick, Loisel, Philippe, Bonnin, Carine, Bernigal, Virginie, Osseby, Guy Victor, Hervieu-BègueMarsac, Marie, Garnier, Pierre, Accassat, Sandrine, Epinat, Magali, Varvat, Jérôme, Marinescu, Doïna, Triquenot-Bagan, Aude, Ozkul- Wermester, Ozlem, Philippeau, Frédéric, Olaru, Angel, Vieillart, Anne, Lannuzel, Annie, Demoly, Alice, Wolff, Valérie, Diaconu, Mihaela, Bataillard, Marc, Montoro, Francisco Macian, Faugeras, Frédéric, Gimenez, Laeticia, Abdallah-Lebeau, Françoise, Timsit, Serge, Viakhireva-Dovganyuk, Irina, Tirel-Badets, Anne, Merrien, François-Mathias, Goas, Philippe, Rouhart, François, Jourdain, Aurore, Guillon, Benoit, Hérissson, Fanny, Sevin-Allouet, Mathieu, Nasr, Nathalie, Olivot, Jean-Marc, Lecluse, Alderic, Marc, Guillaume, Touzé, Emmanuel, de la Sayette, Vincent, Apoil, Marion, Lin, Li, Cogez, Julien, Guettier, Sophie, Godefroy, Olivier, Lamy, Chantal, Bugnicourt, Jean-Marc, Taurin, Grégory, Mérienne, Marc, Gere, Julien, Chessak, Anne-Marie, Habet, Tarik, Ferrier, Anna, Bourgois, Nathalie, Minier, Dominique, Caillier-Minier, Marie, Contégal- Callier, Fabienne, Vion, Philippe, Vaschalde, Yvan, Amrani, Mohammed El, Emilie, Zuber, Mathieu, Bruandet, Marie, Join- Lambert, Claire, Garcia, Pierre-Yves, Serre, Isabelle, Faucheux, Jean-Marc, Radji, Fatia, Leca-Radu, Elena, Debroucker, Thomas, Cumurcuc, Rodica, Cakmak, Serkan, Peysson, Stéphane, Ellie, Emmanuel, Bernady, Patricia, Moulin, Thierry, Montiel, Paola, Revenco, Eugeniu, Decavel, Pierre, Medeiros, Elisabeth, Bouveret, Myriam, Louchart, Pierre, Vaduva, Claudia, Couvreur, Grégory, Sartori, Eric, Carpentier, Alnajar, Levasseur, Michèle, Louchart, Pierre, Faucheux, Jean-Marc, Neau, Philippe, Vandamme, Xavier, Meresse, Isabelle, Stantescu, Bataillard, Marc, Ozsancak, Canan, Beauvais, Katell, Auzou, Pascal, Amevigbe, Joséphine, Vuillemet, Francis, Dugay-Arentz, Marie-Hélène, Carelli, Gabriela, Martinez, Mikel, Maillet-Vioud, Marcel, Escaillas, Jean-Pierre, Chapuis, Stéphane, Tardy, Jean, Manchon, Eric, Varnet, Olivier, Kim, Yong-Jae, Chang, Yoonkyung, Song, Tae-Jin, Kim, Jong Sung, Han, Jung-Hoon, Noh, Kyung Chul, Lee, Eun-Jae, Kang, Dong-Wha, Kwon, Sun Uck, Kwon, Boseoung, Park, Seongho, Lee, Dongwhane, Kwon, Hyuk Sung, Jeong, Daeun, Lee, MinHwan, Kim, Joonggoo, Lee, Hanbin, Nam, Hyo Jung, Lee, Sang Hun, Kim, Bum Joon, Cha, Jae-kwan, Kim, DaeHyun, Kim, Rae Young, Sohn, Sang Wuk, Shim, Dong-Hyun, Lee, Hyungjin, Nah, Hyun-Wook, Sung, Sang Min, Lee, Kyung Bok, Yoon Lee, Jeong, Yoon, Jee Eun, Kim, Eung-Gyu, Seo, Jung Hwa, Kim, Yong-Won, Hwang, Yangha, Park, Man Seok, Kim, Joon-Tae, Choi, Kang-Ho, Nam, Hyo Suk, Heo, Ji Hoe, Kim, Young Dae, Hwang, In Gun, Park, Hyung Jong, Kim, Kyoung Sub, Baek, Jang Hyun, Song, Dong Beom, Yoo, Joon Sang, Park, Jong-Moo, Kwon, Ohyun, Lee, Woong-Woo, Lee, Jung-Ju, Kang, Kyusik, Kim, Byung Kun, Lim, Jae-Sung, Oh, Mi Sun, Yu, Kyung-Ho, Hong, Bora, Jang, Mihoon, Jang, Seyoung, Jin, Jung Eun, Kim, Jei, Jeong, Hye Seon, Hong, Keun Sik, Park, Hong Kyun, Cho, Yong Jin, Bang, Oh Young, Seo, Woo-Keun, and Chung, Jongwon

Published
2023
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15. Cancer Prediction With Machine Learning of Thrombi From Thrombectomy in Stroke: Multicenter Development and Validation

Author

Heo, JoonNyung, Lee, Hyungwoo, Seog, Young, Kim, Sungeun, Baek, Jang-Hyun, Park, Hyungjong, Seo, Kwon-Duk, Kim, Gyu Sik, Cho, Han-Jin, Baik, Minyoul, Yoo, Joonsang, Kim, Jinkwon, Lee, Jun, Chang, Yoonkyung, Song, Tae-Jin, Seo, Jung Hwa, Ahn, Seong Hwan, Lee, Heow Won, Kwon, Il, Park, Eunjeong, Kim, Byung Moon, Kim, Dong Joon, Kim, Young Dae, and Nam, Hyo Suk

Published
2023
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17. Arterial Stiffness Predicts the Outcome of Endovascular Treatment in Patients with Acute Ischemic Stroke.

Author

Han, Minho, Joo, Haram, Lee, Hyungwoo, Heo, JoonNyung, Jung, Jae Wook, Kim, Young Dae, Park, Eunjeong, and Nam, Hyo Suk

Subjects
PULSE wave analysis, STROKE patients, ISCHEMIC stroke, ARTERIAL diseases, LOGISTIC regression analysis, ANKLE brachial index
Abstract

Background: The association between arterial stiffness and outcome after endovascular treatment (EVT) is unknown. This study investigated whether arterial stiffness predicts post-EVT outcome in patients with acute ischemic stroke. Methods: This retrospective and observational cohort study included consecutive patients treated with EVT for acute ischemic stroke from June 2020 to November 2022. Arterial stiffness was assessed by brachial–ankle pulse wave velocity. Poor functional outcome was defined as a modified Rankin Scale score ≥3 at 3 months. Results: The mean age of patients included in this study was 71.9 ± 11.8 years, and 57.3% were men. Poor functional outcome was present in 46.8%. Multivariable logistic regression analysis showed that arterial stiffness was independently associated with poor functional outcome (odds ratio 8.640, 95% confidence interval [CI] 1.581–47.228) after adjusting for age, initial stroke severity, hypertension, atrial fibrillation, device pass number, and successful recanalization. A nomogram based on the multivariable statistic model showed a better prediction of poor functional outcome compared to classic risk factor models without arterial stiffness (net reclassification improvement 0.529, 95% CI 0.186–0.873; integrated discrimination improvement 0.046, 95% CI 0.009–0.083). Conclusions: We found that arterial stiffness was an independent predictor of poor functional outcome in patients treated with EVT following acute ischemic stroke. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Comorbidity index for predicting mortality at 6 months after reperfusion therapy

Author

Nam, Hyo Suk, Kim, Young Dae, Yoo, Joonsang, Park, Hyungjong, Kim, Byung Moon, Bang, Oh Young, Kim, Hyeon Chang, Han, Euna, Kim, Dong Joon, Heo, Joonyung, Kim, Minyoung, Choi, Jin Kyo, Lee, Kyung-Yul, Lee, Hye Sun, Shin, Dong Hoon, Choi, Hye-Yeon, Sohn, Sung-Il, Hong, Jeong-Ho, Lee, Jong Yun, Baek, Jang-Hyun, Kim, Gyu Sik, Seo, Woo-Keun, Chung, Jong-Won, Kim, Seo Hyun, Song, Tae-Jin, Han, Sang Won, Park, Joong Hyun, Kim, Jinkwon, Jung, Yo Han, Cho, Han-Jin, Ahn, Seong Hwan, Lee, Sung Ik, Seo, Kwon-Duk, and Heo, Ji Hoe

Published
2021
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25. Association between substantia nigra degeneration and functional outcome in patients with basal ganglia infarction.

Author

Lee, Hyungwoo, Lee, Kijeong, Kim, Young Dae, Nam, Hyo Suk, Lee, Hye Sun, Cho, Sunghee, and Heo, Ji Hoe

Subjects
CEREBRAL infarction, SUBSTANTIA nigra, BASAL ganglia, STROKE patients, DIFFUSION magnetic resonance imaging, INFARCTION
Abstract

Background and purpose: Cerebral infarction in the basal ganglia may cause secondary and delayed neuronal degeneration in the substantia nigra (SN). However, the clinical significance of SN degeneration remains poorly understood. Methods: This retrospective observational study included patients with acute ischemic stroke in the basal ganglia on initial diffusion‐weighted imaging who underwent follow‐up diffusion‐weighted imaging between 4 and 30 days after symptom onset. SN degeneration was defined as a hyperintensity lesion in the SN observed on diffusion‐weighted imaging. We compared functional outcomes at 3 months between patients with and without SN degeneration. A poor outcome was defined as a score of 3–6 (functional dependence or death) on the modified Rankin Scale. Results: Of 350 patients with basal ganglia infarction (median age = 74.0 years, 53.7% male), 125 (35.7%) had SN degeneration. The proportion of functional dependence or death was 79.2% (99/125 patients) in patients with SN degeneration, which was significantly higher than that in those without SN degeneration (56.4%, 127/225 patients, p < 0.001). SN degeneration was more frequent in patients with functional dependence or death (99/226 patients, 43.8%) than in those with functional independence (26/124 patients, 21.0%, p < 0.001). Multivariable logistic regression analysis showed a significant association between SN degeneration and functional dependence or death (odds ratio = 2.91, 95% confidence interval = 1.17–7.21, p = 0.021). Conclusions: The study showed that patients with degeneration of SN were associated with functional dependence or death at 3 months, suggesting that secondary degeneration is a predictor of poor stroke outcomes and a potential therapeutic target. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Benefit of Targeting a LDL (Low-Density Lipoprotein) Cholesterol <70 mg/dL During 5 Years After Ischemic Stroke

Author

Amarenco, Pierre, Kim, Jong S., Labreuche, Julien, Charles, Hugo, Giroud, Maurice, Lee, Byung-Chul, Mahagne, Marie-Hélène, Nighoghossian, Norbert, Gabriel Steg, Philippe, Vicaut, Éric, Bruckert, Eric, Touboul, Pierre-Jean, Leys, Didier, Béjot, Yannick, Lavallée, Philippa, Pico, Fernando, Touzé, Emmanuel, Ducrocq, Gregory, Abtan, Jérémy, Varenne, Olivier, Touboul, Pierre-Jean, Kemmel, Agnes, Syana, Fausta, Ledra, Manele, Nagasara, Tharani, Ledjeroud, Mervette, Samia, Bahous, Hadia, Hafirassou, Hazare, Benyoub, El Jaghouni, Ikrame, Yelles, Nessima, Zemouri, Sofia, Ladjeroud, Mervette, Kerai, Salim, In, Yun Jeong, Meseguer, Elena, Lavallée, Philippa C, Hobeanu, Cristina, Guidoux, Celine, Cabrejo, Lucie, Lapergue, Bertrand, Sabben, Candice, Gonzalez-Valcarcel, Jaime, Rigual, Ricardo, Sirimarco, Gaia, Martin-Bechet, Anna, Viedma, Elena, Avram, Ioan, Samson, Yves, Rosso, Charlotte, Crozier, Sophie, Leder, Sara, Léger, Anne, Deltour, Sandrine, Mutlu, Gurkan, Yger, Marion, Zavanone, Chiara, Baronnet, Flore, Pires, Christine, Lapergue, Bertrand, Wang, Adrien, Evrard, Serge, Tchikviladze, Maya, Bourdain, Frédéric, Lopez, Delphine, Pico, Fernando, de la Tour, Laetitia Bayon, Chadenat, Marie-Laure, Duong, Duc Long, Genty, Solène, Hirel, Catherine, Mutlu, Gurkan, Nifle, Chantal, Servan, Jérôme, Stanciu, Daniela, Sudacevschi, Veronica, Tir, Mélissa, Troussière, Anne-Cécile, Yeung, Jennifer, Zeghoudi, Anne-Céline, Tidafi-Bayou, Ikram, Lachaud, Sylvain, Cho, Tae-Hee, Mechtouff, Laura, Ritzenthaller, Thomas, Derex, Laurent, Albanesi, Carlo, Ong, Elodie, Benoit, Amandine, Berhoune, Nadia, Felix, Sandra, Esteban-Mader, Maud, Sibon, Igor, Kazadi, Annabelle, Rouanet, François, Renou, Pauline, Debruxelles, Sabrina, Poli, Mathilde, Sagnier, Sharmila, Mas, Jean-Louis, Domigo, Valérie, Lamy, Catherine, Bodiguel, Eric, Grimaud, Jérôme, Bohotin, Valentin, Obadia, Michael, Sabben, Candice, Morvan, Erwan, Rodier, Gilles, Vadot, Wilfried, Hénon, Hilde, Cordonnier, Charlotte, Dumont, Frédéric, Bodenant, Marie, Lucas, Christian, Moulin, Solène, Dequatre, Nelly, Alamowitch, Sonia, Muresan, Jean-Paul, Drouet, Thomas, Gallea, Magalie, Dalloz, Marie-Amélie, Delorme, Stephen, Yger, Marion, Béjot, Yannick, Loisel, Philippe, Bonnin, Carine, Bernigal, Virginie, Osseby, Guy Victor, Marsac, Marie Hervieu-Bègue, Garnier, Pierre, Accassat, Sandrine, Epinat, Magali, Varvat, Jérôme, Marinescu, Doïna, Triquenot-Bagan, Aude, Ozkul-Wermester, Ozlem, Philippeau, Frédéric, Olaru, Angel, Vieillart, Anne, Lannuzel, Annie, Demoly, Alice, Wolff, Valérie, Diaconu, Mihaela, Bataillard, Marc, Montoro, Francisco Macian, Faugeras, Frédéric, Gimenez, Laeticia, Abdallah-Lebeau, Françoise, Timsit, Serge, Viakhireva-Dovganyuk, Irina, Tirel-Badets, Anne, Merrien, François-Mathias, Goas, Philippe, Rouhart, François, Jourdain, Aurore, Guillon, Benoit, Hérissson, Fanny, Sevin-Allouet, Mathieu, Nasr, Nathalie, Olivot, Jean-Marc, Lecluse, Alderic, Marc, Guillaume, Touzé, Emmanuel, de la Sayette, Vincent, Apoil, Marion, Lin, Li, Cogez, Julien, Guettier, Sophie, Godefroy, Olivier, Lamy, Chantal, Bugnicourt, Jean-Marc, Taurin, Grégory, Mérienne, Marc, Gere, Julien, Chessak, Anne-Marie, Habet, Tarik, Ferrier, Anna, Bourgois, Nathalie, Minier, Dominique, Caillier-Minier, Marie, Contégal-Callier, Fabienne, Vion, Philippe, Vaschalde, Yvan, El Amrani, Emilie, Mohammed, Zuber, Mathieu, Bruandet, Marie, Join-Lambert, Claire, Garcia, Pierre-Yves, Serre, Isabelle, Faucheux, Jean-Marc, Radji, Fatia, Leca-Radu, Elena, Debroucker, Thomas, Cumurcuc, Rodica, Cakmak, Serkan, Peysson, Stéphane, Ellie, Emmanuel, Bernady, Patricia, Moulin, Thierry, Montiel, Paola, Revenco, Eugeniu, Decavel, Pierre, Medeiros, Elisabeth, Bouveret, Myriam, Louchart, Pierre, Vaduva, Claudia, Couvreur, Grégory, Sartori, Eric, Alnajar-Carpentier, Eric, Levasseur, Michèle, Louchart, Pierre, Neau, Jean-Philippe, Vandamme, Xavier, Meresse, Isabelle, Stantescu, Bataillard, Marc, Ozsancak, Canan, Beauvais, Katell, Auzou, Pascal, Amevigbe, Joséphine, Vuillemet, Francis, Dugay-Arentz, Marie-Hélène, Carelli, Gabriela, Martinez, Mikel, Maillet-Vioud, Marcel, Escaillas, Jean-Pierre, Chapuis, Stéphane, Tardy, Jean, Manchon, Eric, Varnet, Olivier, Kim, Yong-Jae, Chang, Yoonkyung, Song, Tae-Jin, Han, Jung-Hoon, Noh, Kyung Chul, Lee, Eun-Jae, Kang, Dong-Wha, Kwon, Sun Uck, Kwon, Boseoung, Park, Seongho, Lee, Dongwhane, Kwon, Hyuk Sung, Jeong, Daeun, Lee, MinHwan, Kim, Joonggoo, Lee, Hanbin, Nam, Hyo Jung, Lee, Sang Hun, Kim, Bum Joon, Cha, Jae-kwan, Kim, DaeHyun, Young Kim, Rae, Sohn, Sang Wuk, Shim, Dong-Hyun, Lee, Hyungjin, Nah, Hyun-Wook, Sung, Sang Min, Lee, Kyung Bok, Lee, Jeong Yoon, Yoon, Jee Eun, Kim, Eung-Gyu, Seo, Jung Hwa, Kim, Yong-Won, Hwang, Yangha, Park, Man Seok, Kim, Joon-Tae, Choi, Kang-Ho, Nam, Hyo Suk, Heo, Ji Hoe, Kim, Young Dae, Hwang, In Gun, Park, Hyung Jong, Kim, Kyoung Sub, Baek, Jang Hyun, Song, Dong Beom, Yoo, Joon Sang, Park, Jong-Moo, Kwon, Ohyun, Lee, Woong-Woo, Lee, Jung-Ju, Kang, Kyusik, Kim, Byung Kun, Lim, Jae-Sung, Oh, Mi Sun, Yu, Kyung-Ho, Hong, Bora, Jang, Mihoon, Jang, Seyoung, Jin, Jung Eun, Kim, Jei, Jeong, Hye Seon, Hong, Keun Sik, Park, Hong Kyun, Cho, Yong Jin, Bang, Oh Young, Seo, Woo-Keun, and Chung, Jongwon

Published
2020
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27. Cilostazol Versus Aspirin in Ischemic Stroke Patients With High-Risk Cerebral Hemorrhage: Subgroup Analysis of the PICASSO Trial

Author

Kim, Bum Joon, Kwon, Sun U., Park, Joung-Ho, Kim, Yong-Jae, Hong, Keun-Sik, Wong, Lawrence K.S., Yu, Sungwook, Hwang, Yang-Ha, Lee, Ji Sung, Lee, Juneyoung, Rha, Jong-Ho, Heo, Sung Hyuk, Ahn, Seong Hwan, Seo, Woo-Keun, Park, Jong-Moo, Lee, Ju-Hun, Kwon, Jee-Hyun, Sohn, Sung-Il, Jung, Jin-Man, Navarro, Jose C., Kim, Hahn Young, Kim, Eung-Gyu, Kim, Seongheon, Cha, Jae-Kwan, Park, Man-Seok, Nam, Hyo Suk, and Kang, Dong-Wha

Published
2020
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29. Balloon Guide Catheter Is Beneficial in Endovascular Treatment Regardless of Mechanical Recanalization Modality

Author

Baek, Jang-Hyun, Kim, Byung Moon, Kang, Dong-Hun, Heo, Ji Hoe, Nam, Hyo Suk, Kim, Young Dae, Hwang, Yang-Ha, Kim, Yong-Won, Kim, Yong-Sun, Kim, Dong Joon, Kwak, Hyo Sung, Roh, Hong Gee, Lee, Young-Jun, Kim, Sang Heum, Baik, Seung Kug, Jeon, Pyoung, Yoo, Joonsang, Suh, Sang Hyun, Kim, Byungjun, Kim, Jin Woo, Suh, Sangil, and Jeon, Hong-Jun

Published
2019
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35. Clinical Benefit of First-Pass Recanalization Is Time-Dependent in Endovascular Treatment of Acute Ischemic Stroke.

Author

Baek, Jang-Hyun, Heo, Ji Hoe, Nam, Hyo Suk, Kim, Byung Moon, Kim, Dong Joon, and Kim, Young Dae

Subjects
ISCHEMIC stroke, ENDOVASCULAR surgery, STROKE, THROMBOLYTIC therapy
Abstract

Clinical benefit can be time-dependent even after first-pass recanalization (FPR) in endovascular treatment of acute stroke. This study aimed to evaluate the association between favorable outcome and FPR under a specific time frame. Patients who underwent mechanical thrombectomy were retrospectively reviewed. Recanalization status was categorized into four groups based on FPR and dichotomized time from groin puncture to recanalization (P-to-R time). Favorable outcomes were compared between groups. A total of 458 patients were included. As the cutoff of P-to-R time for favorable outcome was 30 min, recanalization status was categorized into FPR (+) with a P-to-R time ≤ 30 min (Group 1), FPR (–) with a P-to-R time ≤ 30 min (Group 2), FPR (+) with a P-to-R time > 30 min (Group 3), and FPR (–) with a P-to-R time > 30 min (Group 4). Favorable outcomes in Group 3 (37.5%) were significantly less frequent than those in Group 1 (60.4%, p = 0.029) and Group 2 (59.5%, p = 0.033) but were not significantly different from those in Group 4 (35.7%, p = 0.903). Compared to Group 1, Group 3 (adjusted odds ratio, 0.30 [95% confidence interval, 0.12–0.76]; p = 0.011) and Group 4 (0.25 [0.14–0.48]; p < 0.001) were adversely associated with favorable outcomes. FPR was associated with functional outcome in a time-dependent manner. Even for patients who have achieved FPR, their functional outcome might not be favorable if the P-to-R time is >30 min. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Preprocedural D-Dimer Level as a Predictor of First-Pass Recanalization and Functional Outcome in Endovascular Treatment of Acute Ischemic Stroke.

Author

Baek, Jang-Hyun, Heo, Ji Hoe, Nam, Hyo Suk, Kim, Byung Moon, Kim, Dong Joon, and Kim, Young Dae

Subjects
ISCHEMIC stroke, ENDOVASCULAR surgery, FIBRIN fragment D, FUNCTIONAL status, TREATMENT effectiveness, THROMBOLYTIC therapy
Abstract

We aimed to evaluate the association between preprocedural D-dimer levels and endovascular and clinical outcomes. We retrospectively reviewed patients with acute intracranial large-vessel occlusion who underwent mechanical thrombectomy. Plasma D-dimer levels were measured immediately before the endovascular procedure. Endovascular outcomes included successful recanalization, first-pass recanalization (first-pass effect (FPE) and modified FPE (mFPE)), thrombus fragmentation, and the number of passes of the thrombectomy device. Clinical outcomes were assessed at 3 months using the modified Rankin Scale. A total of 215 patients were included. Preprocedural D-dimer levels were lower in patients with FPE (606.0 ng/mL [interquartile range, 268.0–1062.0]) than in those without (879.0 ng/mL [437.0–2748.0]; p = 0.002). Preprocedural D-dimer level was the only factor affecting FPE (odds ratio, 0.92 [95% confidence interval, 0.85–0.98] per 500 ng/mL; p = 0.022). D-dimer levels did not differ significantly based on successful recanalization and thrombus fragmentation. The number of passes of the thrombectomy device was higher (p = 0.002 for trend) and the puncture-to-recanalization time was longer (p = 0.044 for trend) as the D-dimer levels increased. Patients with favorable outcome had significantly lower D-dimer levels (495.0 ng/mL [290.0–856.0]) than those without (1189.0 ng/mL [526.0–3208.0]; p < 0.001). Preprocedural D-dimer level was an independent factor for favorable outcome (adjusted odds ratio, 0.88 [0.81–0.97] per 500 ng/mL; p = 0.008). In conclusion, higher preprocedural D-dimer levels were significantly associated with poor endovascular and unfavorable functional outcomes. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Intensive vs Conventional Blood Pressure Lowering After Endovascular Thrombectomy in Acute Ischemic Stroke: The OPTIMAL-BP Randomized Clinical Trial.

Author

Nam, Hyo Suk, Kim, Young Dae, Heo, JoonNyung, Lee, Hyungwoo, Jung, Jae Wook, Choi, Jin Kyo, Lee, Il Hyung, Lim, In Hwan, Hong, Soon-Ho, Baik, Minyoul, Kim, Byung Moon, Kim, Dong Joon, Shin, Na-Young, Cho, Bang-Hoon, Ahn, Seong Hwan, Park, Hyungjong, Sohn, Sung-Il, Hong, Jeong-Ho, Song, Tae-Jin, and Chang, Yoonkyung

Subjects
*THROMBOLYTIC therapy, *ISCHEMIC stroke, *ENDOVASCULAR surgery, *BLOOD pressure, *STROKE patients, *SYSTOLIC blood pressure
Abstract

Key Points: Question: Does early intensive blood pressure management improve outcomes after successful reperfusion with endovascular thrombectomy in acute ischemic stroke? Findings: In this randomized clinical trial that included 306 patients, 39.4% of patients with intensive blood pressure management (systolic blood pressure target <140 mm Hg) and 54.4% of those with conventional blood pressure management (systolic blood pressure target 140-180 mm Hg) achieved functional independence (modified Rankin Scale score ≤2) at 3 months; this represented a significant difference. Meaning: Intensive blood pressure lowering during the first 24 hours after successful reperfusion may be harmful in patients with acute ischemic stroke who have undergone endovascular thrombectomy. Importance: Optimal blood pressure (BP) control after successful reperfusion with endovascular thrombectomy (EVT) for patients with acute ischemic stroke is unclear. Objective: To determine whether intensive BP management during the first 24 hours after successful reperfusion leads to better clinical outcomes than conventional BP management in patients who underwent EVT. Design, Setting, and Participants: Multicenter, randomized, open-label trial with a blinded end-point evaluation, conducted across 19 stroke centers in South Korea from June 2020 to November 2022 (final follow-up, March 8, 2023). It included 306 patients with large vessel occlusion acute ischemic stroke treated with EVT and with a modified Thrombolysis in Cerebral Infarction score of 2b or greater (partial or complete reperfusion). Interventions: Participants were randomly assigned to receive intensive BP management (systolic BP target <140 mm Hg; n = 155) or conventional management (systolic BP target 140-180 mm Hg; n = 150) for 24 hours after enrollment. Main Outcomes and Measures: The primary outcome was functional independence at 3 months (modified Rankin Scale score of 0-2). The primary safety outcomes were symptomatic intracerebral hemorrhage within 36 hours and death related to the index stroke within 3 months. Results: The trial was terminated early based on the recommendation of the data and safety monitoring board, which noted safety concerns. Among 306 randomized patients, 305 were confirmed eligible and 302 (99.0%) completed the trial (mean age, 73.0 years; 122 women [40.4%]). The intensive management group had a lower proportion achieving functional independence (39.4%) than the conventional management group (54.4%), with a significant risk difference (−15.1% [95% CI, −26.2% to −3.9%]) and adjusted odds ratio (0.56 [95% CI, 0.33-0.96]; P =.03). Rates of symptomatic intracerebral hemorrhage were 9.0% in the intensive group and 8.1% in the conventional group (risk difference, 1.0% [95% CI, −5.3% to 7.3%]; adjusted odds ratio, 1.10 [95% CI, 0.48-2.53]; P =.82). Death related to the index stroke within 3 months occurred in 7.7% of the intensive group and 5.4% of the conventional group (risk difference, 2.3% [95% CI, −3.3% to 7.9%]; adjusted odds ratio, 1.73 [95% CI, 0.61-4.92]; P =.31). Conclusions and Relevance: Among patients who achieved successful reperfusion with EVT for acute ischemic stroke with large vessel occlusion, intensive BP management for 24 hours led to a lower likelihood of functional independence at 3 months compared with conventional BP management. These results suggest that intensive BP management should be avoided after successful EVT in acute ischemic stroke. Trial Registration: ClinicalTrials.gov Identifier: NCT04205305 This randomized trial assesses the effect of intensive blood pressure management vs conventional management on functional independence at 3 months among patients with large vessel occlusion acute ischemic stroke treated with endovascular thrombectomy. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Number of Stent Retriever Passes Associated With Futile Recanalization in Acute Stroke

Author

Baek, Jang-Hyun, Kim, Byung Moon, Heo, Ji Hoe, Nam, Hyo Suk, Kim, Young Dae, Park, Hyungjong, Bang, Oh Young, Yoo, Joonsang, Kim, Dong Joon, Jeon, Pyoung, Baik, Seung Kug, Suh, Sang Hyun, Lee, Kyung-Yul, Kwak, Hyo Sung, Roh, Hong Gee, Lee, Young-Jun, Kim, Sang Heum, Ryu, Chang Woo, Ihn, Yon-Kwon, Kim, Byungjun, Jeon, Hong-Jun, Kim, Jin Woo, Byun, Jun Soo, Suh, Sangil, Park, Jeong Jin, Lee, Woong Jae, Roh, Jieun, and Shin, Byoung-Soo

Published
2018
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44. Risk for Major Bleeding in Patients Receiving Ticagrelor Compared With Aspirin After Transient Ischemic Attack or Acute Ischemic Stroke in the SOCRATES Study (Acute Stroke or Transient Ischemic Attack Treated With Aspirin or Ticagrelor and Patient Outcomes)

Author

Easton, J. Donald, Aunes, Maria, Albers, Gregory W., Amarenco, Pierre, Bokelund-Singh, Sara, Denison, Hans, Evans, Scott R., Held, Peter, Jahreskog, Marianne, Jonasson, Jenny, Minematsu, Kazuo, Molina, Carlos A., Wang, Yongjun, Wong, K.S. Lawrence, Johnston, S. Claiborne, Ameriso, Sebastiá F., Donnan, Geoffrey, Lemmens, Robin, Massaro, Ayrton, Titianova, Ekaterina, Hill, Michael D., Lavados, Pablo, Skoloudik, David, Röther, Joachim, Norbert, Szegedi, Agnelli, Giancarlo, Bornstein, Natan, Tanahashi, Norio, Góngora, Angel Arauz, Pretell, Edwin, San Jose, Maria Cristina Z., Czlonkowska, Anna, Bajenaru, Ovidiu, Stakhovskaya, Ludmila, Brozman, Miroslav, Kim, Jong-Sung, Wahlgren, Nils, Michel, Patrik, Lee, Tsong Hai, Suwanwela, Nijasri Charnnarong, Kutluk, Kursad, Moskovko, Sergii, Kasner, Scott, Laskowitz, Daniel, Clark, Wayne, Nguyen, Huy Thang, Ameriso, Sebastian, Lepera, Sandra, Romano, Marina, Paulon, David, Ioli, Pablo, Zurru, Cristina, Bruera, Guadalupe, Jure, Lorena, Klein, Francisco, Povedano, Guillermo, Levi, Christopher, Phan, Thanh, Markus, Romesh, Anderson, Craig, Sabet, Arman, Davis, Stephen, Lee, Andrew, Kleinig, Timothy, Wong, Andrew, Krause, Martin, Jannes, Jim, Wijeratne, Tissa, Lemmens, Robin, Hemelsoet, Dimitri, Peeters, André, Tack, Philippe, Vanacker, Peter, Laloux, Patrice, Van Landegem, William, Vanhooren, Geert, Desfontaines, Philippe, Van Orshoven, Marc, Oliveira, Fabio, Friedrich, Mauricio, Brondani, Rosane, Gagliardi, Rubens, Fabio, Soraia, Dracoulakis, Marianna, Bazan, Rodrigo, Marrone, Luiz, Pontes Neto, Octavio, Silva, Gisele, Kowacs, Pedro, Titianova, Ekaterina, Stamenova, Paraskeva, Daskalov, Marin, Staikov, Ivan, Baldaranov, Dimo, Maslarov, Dimitar, Lilovski, Hristo, Petkov, Plamen, Petrova, Neli, Mavrov, Radoslav, Markova, Veska, Petrova, Valeria, Beleva, Tanya, Kralev, Borislav, Sotirov, Nikolay, Lekova, Veska, Hristov, Dimcho, Ermenkova, Vera, Mateev, Lyudmil, Mitkova, Rumeliya, Haralanov, Liybomir, Ikonomov, Rosen, Mihailova, Margarita, Georgiev, Ivan, Shuaib, Ashfaq, Hachinski, Vladimir, Boulanger, Jean-Martin, Mann, Sharan, Hassan, Ayman, Mackey, Ariane, Menon, Bijoy, Minuk, Jeffrey, Siddiqui, Muzaffar, Eustace, Marsha, Vieira, Lucia, Selchen, Daniel, Beaudry, Michel, Stotts, Grant, Lavados, Pablo, Castro, Angel, Gasic, Kristo, Rivas, Rodrigo, Sanchez, Pablo, Roldan, Andres, Grossmann, Ingrid, Figueroa, Christian, Li, Jimei, Xu, Xiaolin, Chen, Huisheng, Li, Xiaohong, Yang, Yi, Zhang, Chunsheng, Wang, Baojun, Li, Guanglai, Wang, Dong, Lin, Hong, Tang, Yamei, Xu, Anding, Wang, Yanjiang, Hong, Wenke, Song, Zhi, Zhang, Xu, Jin, Xiaoping, Xu, Yun, Yan, Fuling, Zheng, Weihong, Wang, Xiaoping, Dong, Qiang, Zhao, Zhongxin, Zhang, Baorong, Zhong, Wangtao, Wen, Guoqiang, Xu, Jun, Li, Guozhong, Dong, Xueshuang, Tian, Xiangyang, Zhang, Zhaohui, Xu, En, Liu, Kaixiang, Chen, Jun, Skoda, Ondrej, Skoloudik, David, Ehler, Edvard, Vaclavik, Daniel, Sanak, Daniel, Klimosova, Sylva, Vitkova, Eva, Fiksa, Jan, Mikulik, Robert, Neumann, Jiri, Plny, Richard, Leys, Didier, Sibon, Igor, Mas, Jean-Louis, Alamowitch, Sonia, Pico, Fernando, Hosseini, Hassan, Mahagne, Marie-Hélène, Touze, Emmanuel, Vadot, Wilfried, Vannier, Stéphane, Nighoghossian, Norbert, Samson, Yves, Garnier, Pierre, Ellie, Emmanuel, Guillon, Benoît, Timsit, Serge, Giroud, Maurice, Philippeau, Frédéric, Bagan-Triquenot, Aude, Wolff, Valérie, Raposo, Nicolas, Obadia, Michel, Debiais, Severine, Grimaud, Jérôme, Illouz, Stéphane, Smadja, Didier, Urbanczyk, Cédric, Röther, Joachim, Berrouschot, Jörg, Weimar, Christian, Gahn, Georg, Soda, Hassan, Klimpe, Sven, Nabavi, Darius, Glahn, Jörg, Köhrmann, Martin, Krause, Lars, Terborg, Christoph, Urban, Peter, Steiner, Thorsten, Ferbert, Andreas, Dziewas, Rainer, Seidel, Günter, Thomalla, Götz, Li, Richard, Fong, Wing Chi, Cheung, Raymond, Szegedi, Norbert, Pozsegovits, Krisztián, Valikovics, Attila, Pánczél, Gyula, Rózsa, Csilla, Németh, László, Diószeghy, Péter, Óváry, Csaba, Csányi, Attila, Kerényi, Levente, Nagy, Valéria, Komoly, Sámuel, Bereczki, Dániel, Molnár, Sándor, Kondákor, István, Tanne, David, Raphaeli, Guy, Telman, Gregory, Bornstein, Natan, Leker, Ronen, Lampl, Yair, Agnelli, Giancarlo, Corea, Francesco, Ricci, Stefano, Guidetti, Donata, Malferrari, Giovanni, Marcheselli, Simona, Micieli, Giuseppe, Zini, Andrea, Di Lazzaro, Vincenzo, Gandolfo, Carlo, Salmaggi, Andrea, Tassi, Rossana, Rasura, Maurizia, Orlandi, Giovanni, Comi, Giancarlo, Ricci, Stefano, Mancuso, Michelangelo, Delodovici, Marialuisa, Bovi, Paolo, Consoli, Domenico, Utsugisawa, Kimiaki, Fujita, Tsuneo, Kurihara, Hideyuki, Maruki, Chikashi, Hayashi, Takeshi, Ogiichi, Tsuneaki, Kumagai, Morio, Takenaka, Katsunobu, Toyoda, Kazunori, Takamatsu, Kazuhiro, Ogami, Ryo, Kin, Shigenari, Aoki, Takeshi, Takizawa, Katsumi, Omori, Shigehiro, Umezawa, Takehiko, Toba, Yasuyuki, Nonoyama, Yutaka, Nakagawa, Hidemitsu, Naka, Takashi, Morimoto, Masanori, Matsumoto, Shuichi, Hitotsumatsu, Tsutomu, Shingaki, Tatsuya, Okuda, Satoshi, Ota, Mamoru, Sakai, Nobuyuki, Yamada, Takeshi, Niwa, Jun, Fujita, Hitoshi, Moriki, Akihito, Yoshino, Kimihiro, Fukushima, Yoshihisa, Mori, Takahisa, Sato, Atsushi, Kusano, Yoshikazu, Kubo, Michiya, Yamazaki, Masashi, Ooasa, Takao, Nishizaki, Takafumi, Kitagawa, Naoki, Yasaka, Masahiro, Manabe, Yasuhiro, Yoshioka, Akira, Ishihara, Masayuki, Kagawa, Takato, Ichihashi, Toshikazu, Matsuoka, Hideki, Ito, Yasuhiro, Yamasaki, Masahiro, Takaba, Hitonori, Saito, Hisatoshi, Sato, Masahiro, Fukuda, Kazumasa, Endo, Sumio, Kidooka, Minoru, Umemura, Toshitaka, Kikkawa, Yuriko, Toru, Shuta, Yamada, Kentaro, Sakai, Hideki, Asari, Jun, Ezura, Masayuki, Nitta, Hisashi, Nagano, Keiko, Ochiai, Jun, Sakai, Keiichi, Kobayashi, Yasutaka, Yoshii, Yasuhiro, Miake, Hirotomo, Takita, Tomohiro, Taniguchi, Hidekazu, Kuroki, Kazuhiko, Mizota, Takamitsu, Yamamoto, Kenichi, Nakane, Hiroshi, Iwanaga, Takeshi, Chiba, Kei, Yoshimoto, Tetsuyuki, Torii, Tsuyoshi, Kitagawa, Takeo, Takashima, Hiroshi, Shirasaki, Naoki, Dehara, Makoto, Wada, Naomichi, Hamada, Kensuke, Kato, Noriyuki, Go, Yoshinori, Izumi, Ichiro, Ninomiya, Hirotomo, Kumai, Junichiro, Nakajima, Yoshikazu, Kaku, Yasuhiko, Isayama, Yukihiro, Kawanishi, Masahiro, Noda, Shinya, Yamamoto, Kazuhide, Hazama, Takanori, Takahashi, Hiroshi, Tanaka, Yohei, Hata, Takashi, Kazekawa, Kiyoshi, Furui, Eisuke, Hondo, Hideki, Sato, Nobuyuki, Kusunoki, Katsusuke, Nanri, Kazunori, Abe, Satoshi, Sasaoka, Noboru, Kuroyanagi, Takayuki, Suzuki, Hisahiko, Fukuyama, Kouzou, Nakahara, Kimihiro, Gongora, Fernando, Góngora, Angel Arauz, Cantú Brito, Carlos, Villarreal Careaga, Jorge, Vazquez Alfaro, Rosalia, Aguayo Leytte, Geronimo, Berrospi, Percy, Chavez, Carlos, Pretell, Edwin, Rodriguez, Liliana, Custodio, Nilton, Castañeda, Cesar, Perez, Julio, San Jose, Maria Cristina, Baroque, Alejandro, Collantes, Epifania, Aquino, Abdias, Díaz, Alejandro, Roxas, Artemio, Jr, Lokin, Johnny, Advincula, Joel, Calderon, Emerito, Navarro, Jose, Hiyadan, John, Surdilla, Arturo, Czlonkowska, Anna, Ryglewicz, Danuta, Krychowiak, Grzegorz, Fryze, Waldemar, Sobolewski, Piotr, Nowak, Ryszard, Fiszer, Urszula, Papierowska, Beata, Zielińska-Turek, Justyna, Lasek-Bal, Anetta, Kołodziejska, Ewa, Kamińska, Anna, Adamkiewicz, Bożena, Tutaj, Andrzej, Szkopek, Dorota, Musiatowicz, Krzysztof, Bąk, Zbigniew, Brzozowski, Sławomir, Brola, Waldemar, Ferens, Antoni, Zalisz, Marek, Rejdak, Konrad, Rudzińska, Monika, Bajenaru, Ovidiu, Panea, Cristina, Simu, Mihaela, Balasa, Rodica, Cuciureanu, Iulian, Popescu, Bogdan, Sabau, Monica, Roman-Filip, Corina, Pimenov, Leonid, Gekht, Alla, Milto, Anna, Shchukin, Ivan, Parfenov, Vladimir, Stakhovskaya, Liudmila, Arkhipov, Mikhail, Sokolova, Nadezhda, Bogdanov, Enver, Esin, Radiy, Khasanova, Dina, Golikov, Konstantin, Melnikova, Elena, Zaslavskiy, Leonid, Voznyuk, Igor, Nazarov, Alexander, Akhmadeeva, Leila, Iakupova, Aida, Shamalov, Nikolay, Belskaya, Galina, Chuprina, Svetlana, Denisova, Olga, Drozdova, Ekaterina, Karakulova, Yuliya, Sholomov, Ilya, Spirin, Nikolay, Vostrikova, Elena, Mordvintseva, Elena, Grigoryeva, Vera, Zateyshchikov, Dmitry, Gorbachev, Vladimir, Chefranova, Zhanna, Dudarev, Mikhail, Nilk, Rostislav, Rozhdestvenskiy, Alexey, Gurcik, Ladislav, Dvorak, Miloslav, Krastev, Georgi, Kurca, Egon, Vyletelka, Juraj, Brozman, Miroslav, Kim, Jong Sung, Bae, Hee-Joon, Kim, Yong-Won, Kim, Joon-Tae, Cha, Jae-Kwan, Nam, Hyo Suk, Chang, Dae-Il, Lee, Yong-Seok, Oh, Kyungmi, Yu, Sung-Wook, Sohn, Sung-Il, Lee, Jun, Cho, Han Jin, Kim, Eung-Gyu, Rha, Joung-Ho, Kim, Seo Hyun, Molina Cateriano, Carlos, Serena Leal, Joaquín, Vivancos Mora, José, Rodríguez Yañez, Manuel, Roquer González, Jaume, Purroy García, Francisco, Gomis Cortina, Meritxell, Masjuan Vallejo, Jaime, Arenillas Lara, Juan, Segura Martín, Tomás, Herrero, José Antonio Egido, Tembl Ferrairó, Jose Ignacio, Gállego Culleré, Jaime, Moniche Álvarez, Francisco, Steinberg, Anna, Callander, Margarita, Laska, Ann Charlotte, Bokemark, Lena, Mooe, Thomas, Käll, Tor-Björn, Welin, Lennart, Sjöblom, Lars, Hambraeus, Joakim, Teichert, Jörg, Wannberg, Hans, Sanner, Johan, Ramströmer, Bo, Ziedén, Bo, Hau, Stefan Olsson, Gustafsson, Claes, Michel, Patrik, Kahles, Timo, Lyrer, Philippe, Arnold, Marcel, Liesch, Martin, Medlin, Friedrich, Cereda, Carlo, Kägi, Georg, Luft, Andreas, Carrera, Emmanuel, Lee, Tsong-Hai, Po, Helen L., Chern, Chang-Ming, Lien, Li-Ming, Chan, Lung, Liu, Chung-Hsiang, Wu, Shey-Lin, Lee, Jiann-Der, Chen, Chih-Hung, Lin, Huey-Juan, Lin, Ruey-Tay, Chen, Wei-Hsi, Sun, Yu, Suwanwela, Nijasri Charnnarong, Tantirittisak, Tasanee, Muengtaweepongsa, Sombat, Nilanont, Yongchai, Tiamkao, Somsak, Udommongkol, Chesda, Watcharasaksilp, Kanokwan, Jantararotai, Witoon, Kutluk, Kursad, Sirin, Hadiye, Ince, Birsen, Asil, Talip, Arsava, Murat, Incesu, Tulay Kurt, Tireli, Hulya, Kucukoglu, Hayriye, Ak, Fikri, Unal, Ali, Ozturk, Serefnur, Uzuner, Nevzat, Chmyr, Galyna, Lebedynets, Volodymyr, Nikonov, Vadym, Shulga, Lyudmyla, Smolanka, Volodymyr, Moskovko, Sergii, Khavunka, Marta, Yavorska, Valentyna, Tomakh, Nataliya, Kozyolkin, Olexandr, Litovaltseva, Galyna, Lansberg, Maarten, Bernstein, Richard, Brown, David, Clark, Wayne, Dissin, Jonathan, Graffagnino, Carmelo, Harris, Jonathan, Hicks, William, Kasner, Scott, Katzan, Irene, Kramer, Jeffrey, Willey, Joshua, Silliman, Scott, Starkman, Sidney, Thaler, David, Tremwel, Margaret, Concha, Mauricio, Rajamani, Kumar, Dandapani, Bhuvaneswari, Silver, Brian, Deal, Nathan, Chang, Ira, Hassan, Ameer, Rudolph, Steven, Fischer, Kenneth, Kirshner, Howard, Logan, William, Mallenbaum, Sidney, Hefzy, Hebah, Latorre, Julius, Levine, Steven, Ciabarra, Anthony, Dafer, Rima, Anyanwu, Benjamin, Cherian, Laurel, Panezai, Spozhmy, Khanna, Anna, Dodds, Jodi, Torbey, Michel, Gebel, James, Woo, Henry, Chiu, David, Androulakis, Xiao, Burgin, William, Pineda, Maria, Yilmaz, Engin, Altafullah, Irfan, Boutwell, Christine, Cruz-Flores, Salvador, Sapkota, Biggya, Fayad, Pierre, Jacoby, Michael, Rafiq, Shahid, Salgado, Efrain, Lafranchise, Eugene, Felton, Warren, Madhavan, Ramesh, Zaidat, Osama, Pieper, Connie, Riviello, Ralph, Burnett, Aaron, Fischer, Michelle, Gentile, Nina, Calder, Christopher, Dietrich, Dennis, Cross, Jonathan, Blankenship, Larry, Dafer, Rima, Montoya, Liliana, Grogan, Wendell, Young, Mark, Khan, Farrukh, Campbell, Duane, Daboul, Nizar, Espinoza, Andrey, Cullis, Paul, Concepcion, Gilberto, Wulff, John, Afzal, Haider, Jaffrani, Naseem, Reiter, William, Arshad, Tamjeed, Lukovits, Timothy, Welker, James, Chang, Fen Lei, Badruddin, Aamir, Babikian, Viken, Menon, Ravi, Sander, James, Springer, Mellanie, Nanda, Ashish, Mas, Luis, Rajan, Raj, Silverman, Bruce, Hefzy, Hebah, Huang, David, Carpenter, David, Clark, Joni, Ching, Marilou, Santhakumar, Sunitha, Gould, Jeffrey, Bansal, Vibhav, Vidal, Gabriel, Mikesell, Timothy, Brick, John, French, William, Shah, Qaisar, Holmstedt, Christine, Ishag-Osman, Nadir, Kostis, John, Shehadeh, Abbas, Sethi, Pramodkumak, Imam, Asher, Mccomas, Carl, Tran, Duc, Gebreyohanns, Mehari, Wiseman, Brian, Malik, Maheen, Schwarcz, Aron, Altschul, Dorothea, Castaldo, John, Alshekhlee, Amer, Gancher, Stephen, Krish, Nagesh, Nguyen-Huynh, Mai, Tremwell, Margaret, Sharma, Jitendra, Lee, Lance, Neil, William, Siddiqui, Fazeel, Malek, Ali, Romero, Charles, Huy, Thang Nguyen, Hoang, Hoa, Nguyen, Thang, Nguyen, Anh, and Nguyen, Hung

Published
2017
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45. Differential association between apolipoprotein B and LDL cholesterol and cerebral atherosclerosis according to pre-stroke statin use.

Author

Baik, Minyoul, Nam, Hyo Suk, Heo, Ji Hoe, Lee, Hye Sun, and Kim, Young Dae

Subjects
*APOLIPOPROTEIN B, *LDL cholesterol, *STATINS (Cardiovascular agents), *STROKE patients, *TRANSIENT ischemic attack
Abstract

To reduce cardiovascular risk, low-density lipoprotein cholesterol (LDL-C) is the primary target of statin treatment, while apolipoprotein B (ApoB) is secondary. We investigated the association between atherosclerotic stenosis and LDL-C or ApoB levels and whether a difference in association exists according to pre-admission statin use in ischemic stroke patients. This retrospective cross-sectional study included consecutive patients with acute ischemic stroke or transient ischemic attack who underwent lipid profile and angiographic testing. Patients were categorized into four groups according to stenosis location: normal, extracranial atherosclerotic stenosis (ECAS), intracranial atherosclerotic stenosis (ICAS), or ECAS + ICAS. Subgroup analyses were performed by pre-admission statin use. Of the 6338 patients included, 1980 (31.2%) were in the normal group, 718 (11.3%) in the ECAS group, 1845 (29.1%) in the ICAS group, and 1795 (28.3%) in the ECAS + ICAS group. Both LDL-C and ApoB levels were associated with every location of stenosis. A significant interaction was found between pre-admission statin use and LDL-C level (p for interaction <0.05). LDL-C was associated with stenosis only in statin-naïve patients, whereas ApoB was associated with ICAS, with or without ECAS, in both statin-naïve and statin-treated patients. ApoB also showed a consistent association with symptomatic ICAS in both statin-treated and statin-naïve patients, whereas LDL-C did not. ApoB was consistently associated with ICAS, particularly symptomatic stenosis, in both statin-naïve and statin-treated patients. The close association between ApoB levels and residual risk in statin-treated patients could be partially explained by these results. [Display omitted] • LDL-C and ApoB are associated with atherosclerotic stenosis in stroke patients. • ApoB was consistently associated with intracranial stenosis regardless of statin use. • LDL-C was associated with atherosclerosis only in statin-naïve patients. • This differential effect may partially explain the residual risk in statin use. • Lipid-lowering therapy targeting not only LDL-C, but also ApoB, is needed. [ABSTRACT FROM AUTHOR]

Published
2023
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