Citations 12
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report
Khanna, Narendra N. , Maindarkar, Mahesh , Paul, Sudip , Bhagawati, Mrinalini , Ahluwalia, Puneet , Ruzsa, Zoltán , Munjral, Smiksha , Krishnan, Padukone R., Singh, Inder M. , Laird, John R. , Fatemi, Mostafa , Dhanjil, Surinder, Saba, Luca , Balestrieri, Antonella , Faa, Gavino , Paraskevas, Kosmas I. , Misra, Durga Prasanna , Agarwal, Vikas , Sharma, Aman , Teji, Jagjit S. , Al-Maini, Mustafa , Rathore, Vijay , Naidu, Subbaram, Liblik, Kiera , Johri, Amer M. , Turk, Monika, Sobel, David , Pareek, Gyan , Miner, Martin , Višković, Klaudija , Tsoulfas, George, Protogerou, Athanase D. , Mavrogeni, Sophie , Fouda, Mostafa M. , Kalra, Manudeep, Suri, Jasjit S. , Paul, Sudip , Bhagawati, Mrinalini , Ruzsa, Zoltan , Munjral, Smiksha , Fatemi, Mostafa , Faa, Gavino , Paraskevas, Kosmas I , Agarwal, Vikas , Tsoulfas, George , Protogerou, Athanasios , Mavrogeni, Sophie , Fouda, Mostafa M , Misra, Durga Prasanna , Naidu, Subbaram , Maindarkar, Mahesh A , Puvvula, Anudeep , Sharma, Aditya , Kolluri, Raghu , Alizad, Azra , Nicolaides, Andrew , Kitas, George D. , Suri, Jasjit S.
Journal of Cardiovascular Development and Disease | August 15, 2022 | Volume: 9 | Issue: 8 | Pages: 268
The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people worldwide, with mortality exceeding six million. The average survival span is just 14 days from the time the symptoms become aggressive. The present study delineates the deep-driven vascular damage in the pulmonary, renal, coronary, and carotid vessels due to SARS-CoV-2. This special report addresses an important gap in the literature in understanding (i) the pathophysiology of vascular damage and the role of medical imaging in the visualization of the damage caused by SARS-CoV-2, and (ii) further understanding the severity of COVID-19 using artificial intelligence (AI)-based tissue characterization (TC). PRISMA was used to select 296 studies for AI-based TC. Radiological imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound were selected for imaging of the vasculature infected by COVID-19. Four kinds of hypotheses are presented for showing the vascular damage in radiological images due to COVID-19. Three kinds of AI models, namely, machine learning, deep learning, and transfer learning, are used for TC. Further, the study presents recommendations for improving AI-based architectures for vascular studies. We conclude that the process of vascular damage due to COVID-19 has similarities across vessel types, even though it results in multi-organ dysfunction. Although the mortality rate is ~2% of those infected, the long-term effect of COVID-19 needs monitoring to avoid deaths. AI seems to be penetrating the health care industry at warp speed, and we expect to see an emerging role in patient care, reduce the mortality and morbidity rate.
Impaired physical function in patients with idiopathic inflammatory myopathies: results from the multicentre COVAD patient-reported e-survey
Yoshida, Akira , Kim, Minchul , Kuwana, Masataka , Ravichandran, Naveen , Makol, Ashima , Sen, Parikshit , Agarwal, Vishwesh , Kardeş, Sinan , Day, Jessica , Milchert, Marcin , Joshi, Mrudula , Salim, Babur , Velikova, Tsvetelina , Gracia‐Ramos, Abraham Edgar , Parodis, Ioannis , Selva-O’Callaghan, Albert , Nikiphorou, Elena , Chatterjee, Tulika , Tan, Ai Lyn , Nune, Arvind , Ziadé, Nelly , Chinoy, Hector , Agarwal, Vikas , Gupta, Latika, Group, COVAD Study, Singh, Yogesh Preet , Jain, Avinash , Pandya, Sapan C , Sharma, Aman , Manesh, Manoj M, Patro, Pradeepta Sekhar , Ajmani, Sajal , Chowdhury, Abhra Chandra , Shenoy, Padnamabha, Asranna, Ajay, Bommakanti, Keerthi Talari, Shukla, Anuj , Pandey, Arun Kumar R, Pauling, John D , Sambataro, Gianluca , Atzeni, Fabiola , Govoni, Marcello, Bocci, Elena Bartoloni, Orsolini, Giovanni , Danielli, Maria Giovanna, Tehozol, Erick Adrian Zamora , Loarce‐Martos, Jesus , Prieto‐González, Sergio , Nakashima, Ran , Sato, Shinji, Kaneko, Yuko , Tomaras, Stylianos , Aharonov, Or, Maurier, F. , Meyer, Alain, Nagy‐Vincze, Melinda , Limaye, Vidya , Needham, Merrilee , Srivastav, Nilesh , Hudson, Marie , Landon‐Cardinal, Océane , Shaharir, Syahrul Sazliyana , Zuleta, Wilmer Gerardo Rojas, Silva, José António Pereira, Gupta, Latika , Lilleker, James B , Day, Jessica , Gracia-Ramos, Abraham Edgar , Parodis, Ioannis , Selva O'Callaghan, Albert , Tan, Ai Lyn , Nune, Arvind , Ziade, Nelly , Knitza, Johannes , Distler, Oliver , Chinoy, Hector , Gupta, Latika , Milchert, Marcin , Agarwal, Vikas , Joshi, Mrudula , Agarwal, Vishwesh , Kim, Minchul , Makol, Ashima , Velikova, Tsvetelina , Chatterjee, Tulika , Pauling, John D , Naveen, R , Zamora Tehozol, Erick Adrian , Sen, Parikshit , Yoshida, Akira , Singh, Yogesh Preet , Gheita, Tamer A. , Cavagna, Lorenzo , Saavedra, Miguel A , Shinjo, Samuel Katsuyuki , Distler, Oliver , Aggarwal, Rohit , Group, COVAD Study, Barman, Bhupen , Ranjan, Rajiv , Pilania, Rakesh Kumar , Gupta, Vikas , Kavadichanda, Chengappa G. , Phatak, Sanat B. , Goswami, Rudra P , Mathew, Ashish Jacob , Chandwar, Kunal , Cansu, Döndü Üsküdar , Wincup, Chris , Papa, Nicoletta Del , Parisi, Simone , Bocci, Elena Bartoloni, Sebastiani, Gian Domenico , Fusaro, Enrico , Sebastiani, Marco , Quartuccio, Luca , Franceschini, Franco , Sainaghi, Pier Paolo , Angelis, Rossella De , Venerito, Vincenzo , Traboco, Lisa S , Wibowo, Suryo Anggoro Kusumo , Rojas Serrano, Jorge , Torre, Ignacio García‐De La , Gil‐Vila, Albert , Gonzalez, Raquel Aranega, Kimura, Naoki, Gromova, Margarita Aleksandrovna , Hmamouchi, Ihsane , Hoff, Leonardo Santos , Giannini, Margherita , Campagne, Julien , Meyer, Alain , Langguth, Daman , Silva, José António Pereira, Fonseca, João Eurico , Zimba, Olena
Rheumatology | August 3, 2022 | Volume: 62 | Issue: 3 | Pages: 1204-1215
AbstractObjectivesThe assessment of physical function is fundamental in the management of patients with idiopathic inflammatory myopathies (IIMs). We aimed to investigate the physical function of patients with IIMs compared with those with non-IIM autoimmune rheumatic diseases (AIRDs) utilizing Patient-Reported Outcome Measurement Information System (PROMIS) Physical Function (PF) data obtained in the COVAD study, an international self-reported e-survey assessing the safety of COVID-19 vaccines in AIRDs.MethodsDemographics, AIRD diagnosis, disease activity, and PROMIS PF short form-10a data were extracted from the COVAD database. PROMIS PF-10a scores were compared between disease categories and stratified by disease activity. Factors affecting PROMIS PF-10a scores other than disease activity were identified by multivariable regression analysis in patients with inactive disease.ResultsA total of 1057 IIM patients, 3635 non-IIM AIRD patients and 3981 healthy controls (HCs) responded to the COVAD e-survey from April to August 2021. Using a binomial regression model, the predicted mean of PROMIS PF-10a scores was significantly lower in IIM patients compared with non-IIM AIRD patients or HCs [36.3 (95% CI 35.5, 37.1) vs 41.3 (95% CI 40.2, 42.5) vs 46.2 (95% CI 45.8, 46.6), P < 0.001], irrespective of disease activity. The independent factors for lower PROMIS PF-10a scores in patients with inactive disease were older age, female, longer disease duration, and a diagnosis of inclusion body myositis or polymyositis.ConclusionPhysical function is significantly impaired in IIMs compared with non-IIM AIRDs or HCs, even in patients with inactive disease. Our study highlights a critical need for better strategies to minimize functional disability in patients with IIMs.