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1. Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study

Author

Wu, Chia-Tung, Li, Guo-Hung, Huang, Chun-Ta, Cheng, Yu-Chieh, Chen, Chi-Hsien, Chien, Jung-Yien, Kuo, Ping-Hung, Kuo, Lu-Cheng, and Lai, Feipei

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide. Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with an accelerated decline in lung function, diminished quality of life, and higher mortality. Accurate early detection of acute exacerbations will enable early management and reduce mortality. ObjectiveThe aim of this study was to develop a prediction system using lifestyle data, environmental factors, and patient symptoms for the early detection of AECOPD in the upcoming 7 days. MethodsThis prospective study was performed at National Taiwan University Hospital. Patients with COPD that did not have a pacemaker and were not pregnant were invited for enrollment. Data on lifestyle, temperature, humidity, and fine particulate matter were collected using wearable devices (Fitbit Versa), a home air quality–sensing device (EDIMAX Airbox), and a smartphone app. AECOPD episodes were evaluated via standardized questionnaires. With these input features, we evaluated the prediction performance of machine learning models, including random forest, decision trees, k-nearest neighbor, linear discriminant analysis, and adaptive boosting, and a deep neural network model. ResultsThe continuous real-time monitoring of lifestyle and indoor environment factors was implemented by integrating home air quality–sensing devices, a smartphone app, and wearable devices. All data from 67 COPD patients were collected prospectively during a mean 4-month follow-up period, resulting in the detection of 25 AECOPD episodes. For 7-day AECOPD prediction, the proposed AECOPD predictive model achieved an accuracy of 92.1%, sensitivity of 94%, and specificity of 90.4%. Receiver operating characteristic curve analysis showed that the area under the curve of the model in predicting AECOPD was greater than 0.9. The most important variables in the model were daily steps walked, stairs climbed, and daily distance moved. ConclusionsUsing wearable devices, home air quality–sensing devices, a smartphone app, and supervised prediction algorithms, we achieved excellent power to predict whether a patient would experience AECOPD within the upcoming 7 days. The AECOPD prediction system provided an effective way to collect lifestyle and environmental data, and yielded reliable predictions of future AECOPD events. Compared with previous studies, we have comprehensively improved the performance of the AECOPD prediction model by adding objective lifestyle and environmental data. This model could yield more accurate prediction results for COPD patients than using only questionnaire data.

Published
2021
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3. Alveolar epithelial cells mitigate neutrophilic inflammation in lung injury through regulating mitochondrial fatty acid oxidation

Author

Chung, Kuei-Pin, Cheng, Chih-Ning, Chen, Yi-Jung, Hsu, Chia-Lang, Huang, Yen-Lin, Hsieh, Min-Shu, Kuo, Han-Chun, Lin, Ya-Ting, Juan, Yi-Hsiu, Nakahira, Kiichi, Chen, Yen-Fu, Liu, Wei-Lun, Ruan, Sheng-Yuan, Chien, Jung-Yien, Plataki, Maria, Cloonan, Suzanne M., Carmeliet, Peter, Choi, Augustine M. K., Kuo, Ching-Hua, and Yu, Chong-Jen

Published
2024
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6. Correlating Reiff scores with clinical, functional, and prognostic factors: characterizing noncystic fibrosis bronchiectasis severity: validation from a nationwide multicenter study in Taiwan

Author

Cheng, Wen-Chien, Chang, Chia-Ling, Sheu, Chau-Chyun, Wang, Ping-Huai, Hsieh, Meng-heng, Chen, Ming-Tsung, Ou, Wei-Fan, Wei, Yu-Feng, Yang, Tsung-Ming, Lan, Chou-Chin, Wang, Cheng-Yi, Lin, Chih-Bin, Lin, Ming-Shian, Wang, Yao-Tung, Lin, Ching-Hsiung, Liu, Shih-Feng, Cheng, Meng-Hsuan, Chen, Yen-Fu, Peng, Chung-Kan, Chan, Ming-Cheng, Chen, Ching-Yi, Jao, Lun-Yu, Wang, Ya-Hui, Chen, Chi-Jui, Chen, Shih-Pin, Tsai, Yi-Hsuan, Cheng, Shih-Lung, Lin, Horng-Chyuan, Chien, Jung-Yien, Wang, Hao-Chien, and Hsu, Wu-Huei

Published
2024
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11. Efficacy and adverse events profile of videolaryngoscopy in critically ill patients: subanalysis of the INTUBE study

Author

Anstey, Matthew, Colica, Sandra, Brewster, David, Simpson, Shannon, Regli, Adrian, O'Grady, Ross, Litton, Edward, Ferrier, Janet, Bartholdy, Roland, Tabah, Alexis, Bowen, David, Rowley, Rebecca, Gatward, Jonathan, Alonso, Julio, Varkey, Sneha, Palaniswamy, Vijayanand, Chimunda, Timothy, Reza, Syed T., Hossain, Mozaffer, Islam, Motiul, Hamid, Tarikul, Parotto, Matteo, Ajami, Samareh, Steel, Andrew, Del Sorbo, Lorenzo, Goffi, Alberto, Randall, Ian, Adhikari, Neill K.J., Mehesry, Tasneem H., Vera, Maria M., Bugedo, Guillermo, Labarca, Gonzalo, Silva, Monica, Ma, Wuhua, Li, Yongxing, Wu, Jiayan, Wu, Lun, Radivojević, Renata Curić, Matas, Marijana, Ivančan, Višnja, Pavlek, Mario, Mihaljević, Slobodan, Jumić, Aleksandra, Moguš, Mate, Tucić, Iva, Michalek, Pavel, Flaksa, Marek, Aguirre-Bermeo, Hernan, Tirape-Castro, Hugo, García Aguilera, Maria F., Montenegro, Diana Alvarez, Tutillo, Diego Morocho, Tutillo León, Jose A., Winiszewski, Hadrien, Piton, Gael, Aissaoui, Nadia, Augy, Jean-Loup, Champigneulle, Benoit, Zlotnik, Diane, Muller, Grégoire, Jacquier, Sophie, Hraiech, Sami, Guervilly, Christophe, Plantefeve, Gaetan, Contou, Damien, Ricard, Jean Damien, Besset, Sebastien, Colin, Gwenhael, Pouplet, Caroline, Mirouse, Adrien, Azoulay, Elie, Boissier, Florence, Frat, Jean-Pierre, Mercier, Emmanuelle, Salmon-Gandonnière, Charlotte, Lascarrou, Jean-Baptiste, Martin, Maelle, Ferre, Alexis, Legriel, Stephane, Bruel, Cedric, Philippard, Francois, Zarka, Jonathan, Chemouni, Frank, Hamzaoui, Olfa, Sztrymf, Benjamin, Brunin, Yannick, Pili-Floury, Sébastien, Constantin, Jean-Michel, Godet, Thomas, Maraffi, Tommaso, Dessap, Armand Mekontso, Jozwiak, Mathieu, Marin, Nathalie, Guitton, Christophe, Chudeau, Nicolas, Gros, Alexandre, Boyer, Alexandre, Papandreou, Eleni, Petsiou, Athanasia, Papanikolaou, Metaxia, Kyparissi, Aikaterini, Tileli, Maria, Makris, Alexandros, Tsiftsis, Dimitrios, El-Fellah, Nadia, Karametos, Ilias, Nakou, Evi, Chalkias, Athanasios, Arnaoutoglou, Eleni, Katsoulis, Panagiotis, Pouriki, Sofia, Vagdatli, Kyriaki, Dimitropoulou, Aikaterini, Kothekar, Amol, Baliga, Nishanth, Korula, Sara V., Philip, Sam, Singh, Lalit, Agrawal, Nipun, Jeswani, Deepak, Jeswani, Deepti, Jha, Simant, Singh, Nitesh, Bhattacharyya, Mahuya, Das, Amit, Kuragayala, Swarna D., Kesavarapu, Subba R., Shah, Bhagyesh, Kaushik, Shuchi, Sunil, Nilu, Gnanadurai, Kingsly, Singh, Atul K., Singh, Dinesh K., Khunteta, Sudhir, Gupta, Kulbhusahn, Sanyal, Rhik, Midya, Abhirup, Tyagi, Vijay N., Bendre, Prashant, Prashant, Kumar, Chaurasia, Satish, Mishra, Prasanna, Dash, Sampat, Sundrani, Omprakash, Lalwani, Jaya, Jain, Nikhilesh, Agrawal, Kehari, Ray, Banambar, Meher, Ranjan, Saravanabavan, Lakshmikanthcharan, Munusamy, Satheesh, Gupta, Manish, Ahmad, Meraj, Gopalakrishna, Kadarapura N., Suparna, Bharadwaj, Surath, Manimala R., Munta, Kartik, Jagiasi, Bharat, Srivastava, Anand, Sahu, Samir, Mrinal, Sircar, Kumar, Singh Sujeet, Shah, Mehul, Patel, Mayur, Bamane, Shrirang, Narkhede, Amit, Chawla, Rajesh, Chawla, Aakanksha, Maheshwarappa, Harish Mallapura, Manjunath, Ramya Ballekatte, Rahmani, Lua, Laffey, John G., Rona, Roberto, Benini, Annalisa, Russotto, Vincenzo, Rundo, Annalisa, Luzi, Annalisa, Esposito, Clelia, Nespoli, Moana R., Pradella, Andrea, Lungu, Ramona, Baccari, Laura, Chiumiento, Fernando, Mariano, Karim, Cotoia, Antonella, De Rosa, Silvia, Boni, Elisa, Palmese, Salvatore, Gammaldi, Renato, Spadaro, Savino, Santoro, Lida, Cracchiolo, Andrea N., Palma, Daniela M., Pinciroli, Riccardo, Giovannini, Ilaria, Calamai, Italo, Spina, Rosario, Cappellini, Iacopo, Tutino, Lorenzo, Bellissima, Agrippino, Maugeri, Jessica G., Riva, Ivano, Fabretti, Fabrizio, Brazzi, Luca, Sales, Gabriele, Montrucchio, Giorgia, Orsello, Alberto, Costamagna, Andrea, Canavosio, Federico G., Pelagalli, Lorella, Marcelli, Maria E., Cortegiani, Andrea, Tramarin, Jacopo, Musso, Stefania, Tarantino, Stefano, Di Giacinto, Ida, Licciardi, Anna L., Montini, Luca, De Pascale, Gennaro, Giacomucci, Angelo, Russo, Pierpaolo, Longhini, Federico, Garofalo, Eugenio, Ferluga, Massimo, Moro, Valeria, Cascella, Marco, Di Caprio, Barbara, Di Fenza, Raffaele, Nespoli, Francesca, Bassini, Ospedale E., Muttini, Stefano, Pezzi, Angelo, Elhadi, Muhammed, Ghula, Mohamed, Ahmed, Hazem Abdelkarem, Khaled, Ala, Elhadi, Ahmed, Alhadi, Abdulmueti, Mazlan, Mohd Z., Wan Hassan, Wan Mohd N., Hasan, Shahnaz, Jamaluddin, Muhamad F.H., Samat, Noryani Mohd, Ismail, Muhamad A., Alias, Anita, Hwa, Ngu Pei, Irtiza, Ismail Nahla, Khalidah, Hapiz, Kiok, Lee Chew, Nordin, Norbaniza Mohd, Wan Ismail, Wan N., Ali, Mohd N., Sánchez-Hurtado, Luis, Toledo-Salinas, Otoniel, Landaverde, Antonio, Sosa, Miguel A., Gonzalez, Mayra Martinez, Lopez Nava, Claudia L., San Juan Roman, Nandyelly, Gonzalez, Maria, Espinoza, Missael, González, Daira, Flores, Fernando, Pantoja Leal, Jesus N., Loza Gallardo, Luis R., Young, Paul, Mistry, Ravi, Browne, Alexander, Crone, Petra, Chandwani, Juhi, Hossein, Sazzad, Koul, Salman S., Aman, Rubina, Ali, Syed M., Akhtar, Shazia N., Jankowski, Milosz, Bielanski, Piotr, Mudyna, Wojciech, Franczyk, Pawel, Galkin, Piotr, Skowronski, Lukasz, Gaszynski, Tomasz, Piegat, Mariusz, Catorze, Nuno, Pinto, Marcia, Leonor, Tiago, Fernandes, Marco, Campos, Patricia, Aragão, Irene, Costa, Paulo F., Franco, Daniela G., Basto, Marta, Nogueira, Carla, Cunha, Rui P., Costa, Vasco, Lomivorotov, Vladimir, Nikitenko, Artem, Belsky, Vladislav, Furman, Mikhail, Magomedov, Marat, Baturova, Vera, Karelov, Alexey, Marova, Nadezhda, Almekhlafi, Ghaleb, Alghamdi, Adnan, Maseda, Emilio, Suarez de la Rica, Alejandro, Gonzalez, Jesus Flores, Ruiz, Miryam Pérez, Roca, Oriol, Santafe, Manel, Fernandez, Gemma Goma, Escudero-Acha, Patricia, González-Castro, Alejandro, Agvald-Öhman, Christina, Broman, Lina, Spangfors, Martin, Hannesdottir, Katrin, Persson, Elin, Rosell, Jon, Sperber, Jesper, Ohlsson, Annika, Von Seth, Magnus, Pedrotti, Niccolò, Wahlstrom, Carl, Meirik, Maria, Bandert, Anna, Krog, Ditte, Kuo, Lu-Cheng, Shin, Ming-Hann, Chien, Jung-Yien, Ku, Shih-Chi, Ruan, Sheng-Yuan, Huang, Chun-Kai, Yeh, Yu-Chang, Chao, Anne, Wang, Kuo-Chuan, Chiu, Ching-Tang, Lee, Chien-Chang, Chou, Nai-Kuan, Szakmany, Tamas, Jones, Benjamin, Jones, Laura, Della Torre, Valentina, Sinah, Ayush, Quayle, Alice, Cheetham, Olivia, Syed, Yadullah, Mensah, Kwabena, Edmunds, Christopher, Kaye, Callum T., Bauer, Philippe R., Odeyemi, Yewande E., Nates, Joseph, Laserna, Andres, Mosier, Jarrod, Hypes, Cameron, Gottesman, Eric, Mastroianni, Fiore, Fein, Daniel G., Zhao, Dawn, Fonseca Fuentes, Xavier E., Gallo de Moraes, Alice, Sandefur, Benjamin J., Khan, Akram, Matos, Dubier, Kaufman, David A., Lehr, Andrew, Bigatello, Luca, Bonney, Iwona, Lascarrou, Jean Baptiste, Tassistro, Elena, Antolini, Laura, Bauer, Philippe, Szułdrzyński, Konstanty, Camporota, Luigi, Putensen, Christian, Pelosi, Paolo, Sorbello, Massimiliano, Higgs, Andy, Greif, Robert, Grasselli, Giacomo, Valsecchi, Maria G., Fumagalli, Roberto, Foti, Giuseppe, Caironi, Pietro, Bellani, Giacomo, and Myatra, Sheila N.

Published
2023
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13. List of contributors: volume II

Author

Abutaka, Ahmad, primary, Acton, Matthew, additional, Agerstrand, Cara, additional, Akhmerov, Akbarshakh, additional, Akin, Ibrahim, additional, Aksüt, Mehmet, additional, Alinier, Guillaume, additional, Altınay, Adile Ece, additional, Andreasson, Anders, additional, Aslan, Hacı, additional, Aydın, Sibel, additional, Behnes, Michael, additional, Belliato, Mirko, additional, Benazzo, Alberto, additional, Benk, Christoph, additional, Beyersdorf, Friedhelm, additional, Bohman, J. Kyle, additional, Brehm, Christoph, additional, Brixius, Sam, additional, Brunsvold, Melissa E., additional, Bulander, Robert E., additional, Çelik, Mevlüt, additional, Chatterjee, Subhasis, additional, Chen, Yih-Sharng, additional, Chien, Jung-Yien, additional, Chung, Jayer, additional, Clark, Joseph B., additional, Davarci, Orhun, additional, Dhaliwal, Bhalinder, additional, Dhundi, Ujwal, additional, Diaz Soto, Juan, additional, Doğan, Güneş, additional, Erkılınç, Atakan, additional, Évora, Patricia Martinez, additional, Evora, Paulo Roberto B., additional, Flatley, Meaghan, additional, Fowles, Jo-anne, additional, Geoffrion, Tracy R., additional, Giuliani, Gabriel, additional, Goerlich, Corbin E., additional, Green, Estelle, additional, Gücün, Murat, additional, Günay, Deniz, additional, Haam, Seokjin, additional, Hadley-Brown, Andrew, additional, Hanke, Jasmin Sarah, additional, Holcomb, Ryan M., additional, Hötzenecker, Konrad, additional, Insorsi, Angelo, additional, Jacob, Cecilio, additional, James, Leslie, additional, Jung, Jae-Seung, additional, Keller, Steven P., additional, Ki, Katrina, additional, Kilic, Ahmet, additional, Koshy, Anoop Ninan, additional, Kılıç, Nazlı, additional, Kırali, Kaan, additional, Labib, Ahmed, additional, Lamba, Harveen K., additional, Lemaitre, Philippe, additional, Liao, Kenneth K., additional, Liao, Ting-Yu, additional, Maeda, Katsuhide, additional, Maltais, Simon, additional, Menekşe, Şirin, additional, Mitra, Saikat, additional, Moazami, Nader, additional, Myers, John, additional, Myers, John L., additional, Nicolò, Patroniti, additional, Onyemkpa, Chibueze J., additional, Palanzo, David, additional, Pallister, Zachary S., additional, Patel, Krishna, additional, Pellegrini, Andrea, additional, Polat, Aytaç, additional, Pooth, Jan-Steffen, additional, Radosevich, Misty, additional, Ramanathan, Kollengode, additional, Ramzy, Danny, additional, Ravn, Hanne Berg, additional, Sarıkaya, Sabit, additional, Schmidt, Henrik, additional, Schmitto, Jan D., additional, Schupp, Tobias, additional, Serrao, Gregory W., additional, Seubert, Christoph N., additional, Shafii, Alexis E., additional, Sharma, Samin, additional, Shekar, Kiran, additional, Short, Briana, additional, Smith, Deane E., additional, Sommer, Wiebke, additional, Srisooksai, Gevalin, additional, Su, Lilly, additional, Suero, Orlando R., additional, Sugeir, Shihab, additional, Suttner, Denise, additional, Swol, Justyna, additional, Taghavi, Shahrokh, additional, Taş, Serpil Gezer, additional, Trummer, Georg, additional, Ündar, Akif, additional, Veronesi, Roberto, additional, Warnecke, Gregor, additional, Worku, Elliott T., additional, and Yerli, Ismail, additional

Published
2023
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17. Comparison of different treatments for isoniazid-resistant tuberculosis: an individual patient data meta-analysis

Author

Fregonese, Federica, Ahuja, Shama D, Akkerman, Onno W, Arakaki-Sanchez, Denise, Ayakaka, Irene, Baghaei, Parvaneh, Bang, Didi, Bastos, Mayara, Benedetti, Andrea, Bonnet, Maryline, Cattamanchi, Adithya, Cegielski, Peter, Chien, Jung-Yien, Cox, Helen, Dedicoat, Martin, Erkens, Connie, Escalante, Patricio, Falzon, Dennis, Garcia-Prats, Anthony J, Gegia, Medea, Gillespie, Stephen H, Glynn, Judith R, Goldberg, Stefan, Griffith, David, Jacobson, Karen R, Johnston, James C, Jones-López, Edward C, Khan, Awal, Koh, Won-Jung, Kritski, Afranio, Lan, Zhi Yi, Lee, Jae Ho, Li, Pei Zhi, Maciel, Ethel L, Galliez, Rafael Mello, Merle, Corinne SC, Munang, Melinda, Narendran, Gopalan, Nguyen, Viet Nhung, Nunn, Andrew, Ohkado, Akihiro, Park, Jong Sun, Phillips, Patrick PJ, Ponnuraja, Chinnaiyan, Reves, Randall, Romanowski, Kamila, Seung, Kwonjune, Schaaf, H Simon, Skrahina, Alena, van Soolingen, Dick, Tabarsi, Payam, Trajman, Anete, Trieu, Lisa, Banurekha, Velayutham V, Viiklepp, Piret, Wang, Jann-Yuan, Yoshiyama, Takashi, and Menzies, Dick

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Tuberculosis, Rare Diseases, Antimicrobial Resistance, Clinical Trials and Supportive Activities, Lung, Clinical Research, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Infection, Good Health and Well Being, Antibiotics, Antitubercular, Cohort Studies, Drug Administration Schedule, Drug Therapy, Combination, Ethambutol, Fluoroquinolones, Humans, Observational Studies as Topic, Outcome Assessment, Health Care, Pyrazinamide, Randomized Controlled Trials as Topic, Review Literature as Topic, Rifampin, Streptomycin, Tuberculosis, Multidrug-Resistant, Public Health and Health Services, Other Medical and Health Sciences, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundIsoniazid-resistant, rifampicin-susceptible (INH-R) tuberculosis is the most common form of drug resistance, and is associated with failure, relapse, and acquired rifampicin resistance if treated with first-line anti-tuberculosis drugs. The aim of the study was to compare success, mortality, and acquired rifampicin resistance in patients with INH-R pulmonary tuberculosis given different durations of rifampicin, ethambutol, and pyrazinamide (REZ); a fluoroquinolone plus 6 months or more of REZ; and streptomycin plus a core regimen of REZ.MethodsStudies with regimens and outcomes known for individual patients with INH-R tuberculosis were eligible, irrespective of the number of patients if randomised trials, or with at least 20 participants if a cohort study. Studies were identified from two relevant systematic reviews, an updated search of one of the systematic reviews (for papers published between April 1, 2015, and Feb 10, 2016), and personal communications. Individual patient data were obtained from authors of eligible studies. The individual patient data meta-analysis was performed with propensity score matched logistic regression to estimate adjusted odds ratios (aOR) and risk differences of treatment success (cure or treatment completion), death during treatment, and acquired rifampicin resistance. Outcomes were measured across different treatment regimens to assess the effects of: different durations of REZ (≤6 months vs >6 months); addition of a fluoroquinolone to REZ (fluoroquinolone plus 6 months or more of REZ vs 6 months or more of REZ); and addition of streptomycin to REZ (streptomycin plus 6 months of rifampicin and ethambutol and 1-3 months of pyrazinamide vs 6 months or more of REZ). The overall quality of the evidence was assessed using GRADE methodology.FindingsIndividual patient data were requested for 57 cohort studies and 17 randomised trials including 8089 patients with INH-R tuberculosis. We received 33 datasets with 6424 patients, of which 3923 patients in 23 studies received regimens related to the study objectives. Compared with a daily regimen of 6 months of (H)REZ (REZ with or without isoniazid), extending the duration to 8-9 months had similar outcomes; as such, 6 months or more of (H)REZ was used for subsequent comparisons. Addition of a fluoroquinolone to 6 months or more of (H)REZ was associated with significantly greater treatment success (aOR 2·8, 95% CI 1·1-7·3), but no significant effect on mortality (aOR 0·7, 0·4-1·1) or acquired rifampicin resistance (aOR 0·1, 0·0-1·2). Compared with 6 months or more of (H)REZ, the standardised retreatment regimen (2 months of streptomycin, 3 months of pyrazinamide, and 8 months of isoniazid, rifampicin, and ethambutol) was associated with significantly worse treatment success (aOR 0·4, 0·2-0·7). The quality of the evidence was very low for all outcomes and treatment regimens assessed, owing to the observational nature of most of the data, the diverse settings, and the imprecision of estimates.InterpretationIn patients with INH-R tuberculosis, compared with treatment with at least 6 months of daily REZ, addition of a fluoroquinolone was associated with better treatment success, whereas addition of streptomycin was associated with less treatment success; however, the quality of the evidence was very low. These results support the conduct of randomised trials to identify the optimum regimen for this important and common form of drug-resistant tuberculosis.FundingWorld Health Organization and Canadian Institutes of Health Research.

Published
2018

26. Immunometabolic features of natural killer cells are associated with infection outcomes in critical illness

Author

Chung, Kuei-Pin, primary, Su, Jia-Ying, additional, Wang, Yi-Fu, additional, Budiarto, Bugi Ratno, additional, Yeh, Yu-Chang, additional, Cheng, Jui-Chen, additional, Keng, Li-Ta, additional, Chen, Yi-Jung, additional, Lu, Ya-Ting, additional, Juan, Yi-Hsiu, additional, Nakahira, Kiichi, additional, Ruan, Sheng-Yuan, additional, Chien, Jung-Yien, additional, Chang, Hou-Tai, additional, Jerng, Jih-Shuin, additional, Huang, Yen-Tsung, additional, Chen, Shih-Yu, additional, and Yu, Chong-Jen, additional

Published
2024
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27. The clinical impacts of lung microbiome in bronchiectasis with fixed airflow obstruction

Author

Chen, Yen-Fu, primary, Hou, Hsin-Han, additional, Chien, Ning, additional, Lu, Kai-Zen, additional, Lin, Chieh-Hua, additional, Liao, Yu-Chieh, additional, Lor, Kuo-Lung, additional, Chien, Jung-Yien, additional, Chen, Chung-Ming, additional, Chen, Chung-Yu, additional, Cheng, Shih-Lung, additional, Wang, Hao-Chien Wang, additional, Hsueh, Po-Ren, additional, and Yu, Chong-Jen, additional

Published
2024
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37. Prognostic Value of Pace Variability, a Novel 6MWT-Derived Feature, in Patients with Chronic Obstructive Pulmonary Disease

Author

Huang,Chun-Ta, Ruan,Sheng-Yuan, Lai,Feipei, Chien,Jung-Yien, Yu,Chong-Jen, Huang,Chun-Ta, Ruan,Sheng-Yuan, Lai,Feipei, Chien,Jung-Yien, and Yu,Chong-Jen

Abstract

Chun-Ta Huang,1 Sheng-Yuan Ruan,1 Feipei Lai,2– 4 Jung-Yien Chien,1 Chong-Jen Yu1 1Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; 2Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; 3Department of Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan; 4Department of Electrical Engineering, National Taiwan University, Taipei, TaiwanCorrespondence: Jung-Yien Chien, Department of Internal Medicine, National Taiwan University Hospital, No. 7, Zhongshan S. Road, Zhongzheng Dist, Taipei, 100, Taiwan, Tel +886-2-23562905, Fax +886-2-23222890, Email jychien@ntu.edu.twPurpose: The 6-minute walk test (6MWT) is often used to evaluate chronic obstructive pulmonary disease (COPD) patients’ functional capacity, with 6-minute walk distance (6MWD) and related measures being linked to mortality and hospitalizations. This study investigates the prognostic value of pace variability, a significant indicator in sports medicine, during the 6MWT for COPD patients.Patients and Methods: We retrospectively screened consecutive COPD patients who had been prospectively enrolled in a pay-for-performance program from January 2019 to May 2020 to determine their eligibility. Patient characteristics, including demographics, exacerbation history, and 6MWT data, were analyzed to investigate their potential associations with prognosis. The primary outcome was a composite of adverse events, including overall mortality or hospitalizations due to exacerbations during a 1-year follow-up period. To analyze the 6MWT data, we divided it into three 2-minute epochs and calculated the average walk speed for each epoch. We defined pace variability as the difference between the maximum and minimum average speed in a single 2-minute epoch, divided by the average speed for the entire 6-minute walk test.Results: A total of 163 patients with COPD were included in the study, and 19

Published
2023

44. Molecular Epidemiological Characteristics of Mycobacterium abscessus Complex Derived from Non-Cystic Fibrosis Patients in Japan and Taiwan

Author

Yoshida, Mitsunori, primary, Chien, Jung-Yien, additional, Morimoto, Kozo, additional, Kinjo, Takeshi, additional, Aono, Akio, additional, Murase, Yoshiro, additional, Fujiwara, Keiji, additional, Morishige, Yuta, additional, Nagano, Hiroaki, additional, Jou, Ruwen, additional, Hasegawa, Naoki, additional, Ato, Manabu, additional, Hoshino, Yoshihiko, additional, Hsueh, Po-Ren, additional, and Mitarai, Satoshi, additional

Published
2022
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46. Additional file 1 of Prognostic value of computed tomographic findings in acute respiratory distress syndrome and the response to prone positioning

Author

Chen, You-Yi, Kuo, Jerry Shu-Hung, Ruan, Sheng-Yuan, Chien, Ying-Chun, Ku, Shih-Chi, Yu, Chong-Jen, and Chien, Jung-Yien

Abstract

Additional file 1. Table S1. Logistic regression to evaluate the association between prone-responders and dorsal-ventral differences in CT-consolidation scores at the lung base. Table S2. Ventilator setting and results of arterial blood gas measurement before and after the 1st prone position between responders and nonresponders. Table S3. Ventilator setting and results of arterial blood gas measurement before and after the 1st prone position between survivors and nonsurvivors. Table S4. Ventilator setting and results of arterial blood gas measurement before and after the 1st prone position between the high and low GGO extent groups. Table S5. Ventilator setting and results of arterial blood gas measurement at the time of CT scans, before and after the 1st prone position. Figure S1. Axial computed tomographic (CT) image at the basal lung level of a 43-year old man with ARDS secondary to influenza pneumonia. The image was divided into sternal, central and vertebral sections. Each area was rated on a six-point scale of 0-5 based on the area of normal (N) lung tissue, consolidation (CO) or ground-glass opacification (GGO) present, with higher scores signifying a greater extent of lung involvement. Figure S2. Receiver operator characteristic (ROC) curve for various cutoff levels of total computed tomographic (CT) ground-glass opacification (GGO) scores predicting 60-day survival. Figure S3. Kaplan-Meier plots with log-rank test for the probability of 28-day survival, according to the response to prone positioning (Panel A), and total computed tomographic ground-glass-opacification (CT-GGO) scores (Panel B); Kaplan-Meier plots with log-rank test for the probability of ICU survival, according to the response to prone positioning (Panel C), and total computed tomographic ground-glass-opacification (CT-GGO) scores (Panel D).

Published
2022
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47. Reexamining Chronic Obstructive Pulmonary Disease in Bronchiectasis: Elucidating Overdiagnosis and Outcomes from EMBARC's ROSE Criteria.

Author

Chen, Yen-Fu, Chien, Jung-Yien, Wang, Hao-Chien, and Yu, Chong-Jen

Subjects
BRONCHIECTASIS, CHRONIC obstructive pulmonary disease, ROSES, OVERDIAGNOSIS
Abstract

The article focuses on the association between bronchiectasis and COPD (Chronic Obstructive Pulmonary Disease) using the ROSE criteria, highlighting significant misdiagnoses of COPD in bronchiectasis patients. It underscores the need for tailored management strategies and suggests further exploration into outcomes for advanced bronchiectasis cases with fixed airflow obstruction (FAO), independent of smoking history.

Published
2024
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49. A Precision Health Service for Chronic Diseases: Development and Cohort Study Using Wearable Device, Machine Learning, and Deep Learning

Author

Wu, Chia-Tung, primary, Wang, Ssu-Ming, additional, Su, Yi-En, additional, Hsieh, Tsung-Ting, additional, Chen, Pei-Chen, additional, Cheng, Yu-Chieh, additional, Tseng, Tzu-Wei, additional, Chang, Wei-Sheng, additional, Su, Chang-Shinn, additional, Kuo, Lu-Cheng, additional, Chien, Jung-Yien, additional, and Lai, Feipei, additional

Published
2022
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50. Pulmonary infection and colonization with nontuberculous mycobacteria Taiwan, 2000-2012

Author

Chien, Jung-Yien, Lai, Chih-Cheng, Sheng, Wang-Huei, Yu, Chong-Jen, and Hsueh, Po-Ren

Subjects
Lung diseases -- Health aspects, Mycobacterium -- Research -- Health aspects -- Forecasts and trends, Mycobacteria -- Research -- Health aspects -- Forecasts and trends, Market trend/market analysis, Health
Abstract

In countries to which tuberculosis (TB) is endemic, the isolation of nontuberculous mycobacteria (NTM) from clinical specimens, especially respiratory specimens, is not uncommon (1-3). In 2011, Taiwan recorded 12,634 new [...]

Published
2014
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