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2. Severe aortic stenosis detection by deep learning applied to echocardiography.

Author

Holste, Gregory, Oikonomou, Evangelos, Mortazavi, Bobak, Coppi, Andreas, Faridi, Kamil, Miller, Edward, Forrest, John, McNamara, Robert, Ohno-Machado, Lucila, Yuan, Neal, Gupta, Aakriti, Ouyang, David, Krumholz, Harlan, Wang, Zhangyang, and Khera, Rohan

Subjects
Aortic stenosis, Deep learning, Digital health, Echocardiography, Humans, Deep Learning, Echocardiography, Aortic Valve Stenosis, Aortic Valve, Ultrasonography
Abstract

BACKGROUND AND AIMS: Early diagnosis of aortic stenosis (AS) is critical to prevent morbidity and mortality but requires skilled examination with Doppler imaging. This study reports the development and validation of a novel deep learning model that relies on two-dimensional (2D) parasternal long axis videos from transthoracic echocardiography without Doppler imaging to identify severe AS, suitable for point-of-care ultrasonography. METHODS AND RESULTS: In a training set of 5257 studies (17 570 videos) from 2016 to 2020 [Yale-New Haven Hospital (YNHH), Connecticut], an ensemble of three-dimensional convolutional neural networks was developed to detect severe AS, leveraging self-supervised contrastive pretraining for label-efficient model development. This deep learning model was validated in a temporally distinct set of 2040 consecutive studies from 2021 from YNHH as well as two geographically distinct cohorts of 4226 and 3072 studies, from California and other hospitals in New England, respectively. The deep learning model achieved an area under the receiver operating characteristic curve (AUROC) of 0.978 (95% CI: 0.966, 0.988) for detecting severe AS in the temporally distinct test set, maintaining its diagnostic performance in geographically distinct cohorts [0.952 AUROC (95% CI: 0.941, 0.963) in California and 0.942 AUROC (95% CI: 0.909, 0.966) in New England]. The model was interpretable with saliency maps identifying the aortic valve, mitral annulus, and left atrium as the predictive regions. Among non-severe AS cases, predicted probabilities were associated with worse quantitative metrics of AS suggesting an association with various stages of AS severity. CONCLUSION: This study developed and externally validated an automated approach for severe AS detection using single-view 2D echocardiography, with potential utility for point-of-care screening.

Published
2023

5. Managing Implanted Cardiac Electronic Devices in Patients With Severe Tricuspid Regurgitation: JACC State-of-the-Art Review

Author

Hahn, Rebecca T., Wilkoff, Bruce Larry, Kodali, Susheel, Birgersdotter-Green, Ulrika Maria, Ailawadi, Gorav, Addetia, Karima, Andreas, Martin, Auricchio, Angelo, Ehlert, Frederick, George, Isaac, Gupta, Aakriti, Harrison, Rachel, Ho, Edwin C., Kusumoto, Fred, Latib, Azeem, O’Gara, Patrick, Patton, Kristen K., Pinney, Sean, Zeitler, Emily P., Mack, Michael J., Leon, Martin B., and Epstein, Laurence M.

Published
2024
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9. Airway management in the paediatric difficult intubation registry: a propensity score matched analysis of outcomes over time

Author

Bruins, Benjamin, Stricker, Paul, Laverriere, Elizabeth, Lockman, Justin L., Struyk, Brian, Ward, Christopher, Nishisaki, Akira, Kodavatiganti, Ramesh, Guris, Rodrigo Daly, Sequera-Ramos, Luis, Teen, Mark, Oke, Ayodele, Hsu, Grace, Lingappan, Arul, Battles, Rhae, Bocanegra, Ashley, Goldfarb, Tally, Kiss, Edgar, Szmuk, Peter, Mireles, Sam, Murray, Andrea, Whyte, Simon, Jain, Ranu, Matuszczak, Maria, Holmes, Christopher, McCann, Alexander, Matava, Clyde, Dalesio, Nicholas, Greenberg, Robert, Lucero, Angela, Desai, Sapna, Rosander, Sondra, Samba, Sindhu, Schrock, Charles, Nykiel-Bailey, Sydney, Marsh, Jennifer, Peterson, Melissa Brooks, Lee, Amy, Bhattacharya, Somaletha, Burjek, Nicholas, Jagannathan, Narasimhan, Lardner, David, Crockett, Christy, Robetson, Sara, Patel, Jasmine, Sharma, Aarti, Templeton, Thomas, Marín, Piedad Echeverry, Pérez-Pradilla, Carolina, Singh, Neeta, Sommerfield, David, Hauser, Neil, Hesselink, Emily, Lewkowitz-Shpuntoff, Hilana, Castro, Pilar, Riveros Perez, N. Ricardo, Vega, Eduardo, González, Alejandro, Ostermann, Paola, Rubin, Kasia, Meserve, Jonathan, Lord, Charles, Lee, Angela, Valairucha, Songyos, Dalal, Priti, Tran, Thanh, Anspach, Taylor, Lee, Lisa K., Ayad, Ihab, Rehman, Mohamed, Fernandez, Allison, Zamora, Lillian, Ravula, Niroop, Shaik, Sadiq, Szolnoki, Judit, Mathew, Preethy, Yaddanapudi, Sandhya, Sen, Indu, Gupta, Aakriti, Handlogten, Kathryn, Sroka, J. Michael, Quintão, Vinícius Caldeira, Carlos, Ricardo Vieira, Leite, Fernanda, Stein, Mary Lyn, Sarmiento Argüello, Lina Andrea, Staffa, Steven J., Heunis, Julia, Egbuta, Chinyere, Flynn, Stephen G., Khan, Sabina A., Sabato, Stefano, Taicher, Brad M., Chiao, Franklin, Bosenberg, Adrian, Lee, Angela C., Adams, H. Daniel, von Ungern-Sternberg, Britta S., Park, Raymond S., Peyton, James M., Olomu, Patrick N., Hunyady, Agnes I., Garcia-Marcinkiewicz, Annery, Fiadjoe, John E., and Kovatsis, Pete G.

Published
2024
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10. Latent Class Analysis Reveals COVID-19–related Acute Respiratory Distress Syndrome Subgroups with Differential Responses to Corticosteroids

Author

Sinha, Pratik, Furfaro, David, Cummings, Matthew J, Abrams, Darryl, Delucchi, Kevin, Maddali, Manoj V, He, June, Thompson, Alison, Murn, Michael, Fountain, John, Rosen, Amanda, Robbins-Juarez, Shelief Y, Adan, Matthew A, Satish, Tejus, Madhavan, Mahesh, Gupta, Aakriti, Lyashchenko, Alexander K, Agerstrand, Cara, Yip, Natalie H, Burkart, Kristin M, Beitler, Jeremy R, Baldwin, Matthew R, Calfee, Carolyn S, Brodie, Daniel, and O’Donnell, Max R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Lung, Infectious Diseases, Acute Respiratory Distress Syndrome, Emerging Infectious Diseases, Rare Diseases, Good Health and Well Being, Adrenal Cortex Hormones, Aged, COVID-19, Cohort Studies, Female, Humans, Latent Class Analysis, Male, Middle Aged, Respiratory Distress Syndrome, Retrospective Studies, COVID-19 Drug Treatment, ARDS, latent class analysis, phenotyping, Medical and Health Sciences, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Rationale: Two distinct subphenotypes have been identified in acute respiratory distress syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus disease (COVID-19) is unknown. Objectives: To identify clinically relevant, novel subgroups in COVID-19-related ARDS and compare them with previously described ARDS subphenotypes. Methods: Eligible participants were adults with COVID-19 and ARDS at Columbia University Irving Medical Center. Latent class analysis was used to identify subgroups with baseline clinical, respiratory, and laboratory data serving as partitioning variables. A previously developed machine learning model was used to classify patients as the hypoinflammatory and hyperinflammatory subphenotypes. Baseline characteristics and clinical outcomes were compared between subgroups. Heterogeneity of treatment effect for corticosteroid use in subgroups was tested. Measurements and Main Results: From March 2, 2020, to April 30, 2020, 483 patients with COVID-19-related ARDS met study criteria. A two-class latent class analysis model best fit the population (P = 0.0075). Class 2 (23%) had higher proinflammatory markers, troponin, creatinine, and lactate, lower bicarbonate, and lower blood pressure than class 1 (77%). Ninety-day mortality was higher in class 2 versus class 1 (75% vs. 48%; P

Published
2021

11. The regulation of [m.sup.6]A-related proteins during whole-body freezing of the freeze-tolerant wood frog

Author

Rehman, Saif, Varma, Anchal, Gupta, Aakriti, and Storey, Kenneth B.

Subjects
Methylation -- Genetic aspects, Frogs -- Physiological aspects -- Genetic aspects, Genetic regulation -- Physiological aspects, Epigenetic inheritance -- Physiological aspects, Biological sciences
Abstract

Rana sylvatica (also known as Boreorana sylvatica) is one of the few vertebrates that spend extreme winters showing no physiological signs of life. Up to 70% of the total body water of the wood frog freezes as extracellular ice. Survival in extreme conditions requires regulation at transcriptional and translational levels to activate prosurvival pathways. N6-methyladenosine ([m.sup.6]A) methylation is one of the most common RNA modifications, regulating transcript processing and translation by executing important functions that affect regulatory pathways in stress conditions. In the study, regulation of [m.sup.6]A-related proteins in the liver of R. sylvatica was analyzed during 24 h frozen and 8 h thaw conditions. Decreases in the activity of demethylases of 28.44 [+ or -] 0.4% and 24.1 [+ or -] 0.9% of control values in frozen and thaw tissues, respectively, were observed. Total protein levels of [m.sup.6]A methyltransferase complex components methyltransferase-like 14 and Wilm's tumor associated protein were increased by 1.28-fold and 1.42-fold, respectively, during freezing. Demethylase fat mass and obesity, however, showed a decreasing trend, with a significant decrease in abundance during recovery from frozen conditions. Levels of mRNA degraders YTHDF2 and YTHDC2 also decreased under stress. Overall, increased levels of [m.sup.6]A methylation complex components, and suppressed levels of readers/erasers, provide evidence for the potential role of RNA methylation in freezing survival and its regulation in a hypometabolic state. Key words: epigenetics, freeze tolerance, RNA methylation, metabolic rate depression, Rana sylvatica (Boreorana sylvatica), Introduction The wood frog, Rana sylvatica (Boreorana sylvatica), is one of the freeze-tolerant model organisms that survive sub-zero temperatures for several months. During freezing, the wood frog employs multiple adaptation [...]

Published
2023
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18. 2022 AHA/ACC Key Data Elements and Definitions for Cardiovascular and Noncardiovascular Complications of COVID-19: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards

Author

Bozkurt, Biykem, Das, Sandeep R., Addison, Daniel, Gupta, Aakriti, Jneid, Hani, Khan, Sadiya S., Koromia, George Augustine, Kulkarni, Prathit A., LaPoint, Kathleen, Lewis, Eldrin F., Michos, Erin D., Peterson, Pamela N., Turagam, Mohit K., Wang, Tracy Y., and Yancy, Clyde W.

Published
2022
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20. Impact of Tricuspid Regurgitation on Outcomes of Transcatheter Aortic Valve Replacement With Balloon-Expandable Valves.

Author

Zahr, Firas, Elmariah, Sammy, Vemulapalli, Sreekanth, Kodali, Susheel K., Hahn, Rebecca T., Anderson, Allen S., Eleid, Mackram F., Davidson, Charles J., Sharma, Rahul P., O'Neill, William W., Bethea, Brian, Thourani, Vinod H., Chakravarty, Tarun, Gupta, Aakriti, and Makkar, Raj R.

Abstract

Tricuspid regurgitation (TR) is highly prevalent in the transcatheter aortic valve replacement (TAVR) population, but clear management guidelines are lacking. The aims of this study were to elucidate the prevalence and consequences of severe TR in patients with aortic stenosis undergoing TAVR and to examine the change in TR post-TAVR, including predictors of improvement and its impact on longer term mortality. Using Centers for Medicare and Medicaid Services–linked TVT (Transcatheter Valve Therapy) Registry data, a propensity-matched analysis was performed among patients undergoing TAVR with baseline mild, moderate, or severe TR. Kaplan-Meier estimates were used to assess the impact of TR on 3-year mortality. Multivariable analysis identified predictors of 30-day TR improvement. Of the 312,320 included patients, 84% had mild, 13% moderate, and 3% severe TR. In a propensity-matched cohort, severe baseline TR was associated with higher in-hospital mortality (2.5% vs 2.1% for moderate TR and 1.8% for mild TR; P = 0.009), higher 1-year mortality (24% vs 19.6% for moderate TR and 16.6% for mild TR; P < 0.0001), and 3-year mortality (54.2% vs 48.5% for moderate TR and 43.3% for mild TR; P < 0.0001). Among the patients with severe TR at baseline, 76.4% improved to moderate or less TR 30 days after TAVR. Baseline mitral regurgitation moderate or greater, preserved ejection fraction, higher aortic valve gradient, and better kidney function predicted TR improvement after TAVR. However, severe 30-day residual TR was associated with higher 1-year mortality (27.4% vs 18.7% for moderate TR and 16.8% for mild TR; P < 0.0001). Severe baseline and 30-day residual TR after TAVR are associated with increased mortality up to 3 years. This analysis identifies a higher risk group that could be evaluated for the recently approved tricuspid interventions. [Display omitted] [ABSTRACT FROM AUTHOR]

Published
2024
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21. Impact of daily-supervised administration of a package of iron and folic acid and vitamin B.sub.12 on hemoglobin levels among adolescent girls (12-19 years): a cluster randomized control trial

Author

Gupta, Aakriti, Kant, Shashi, Ramakrishnan, Lakshmy, Pandey, Ravindra Mohan, Khandelwal, Ritika, Kapil, Umesh, and Sachdev, Harshpal Singh

Subjects
Iron in the body -- Dosage and administration -- Patient outcomes, Folic acid -- Dosage and administration -- Patient outcomes, Vitamin B12 -- Dosage and administration -- Patient outcomes, Pediatric research, Teenage girls -- Health aspects, Iron deficiency anemia -- Demographic aspects -- Care and treatment -- Patient outcomes, Food/cooking/nutrition, Health
Abstract

Objective The prevalence of anemia has remained high among Indian adolescent girls over the past decade, despite the ongoing iron and folic acid (IFA) supplementation program. This study was conducted to assess the impact of daily supplementation of a package of IFA with vitamin B.sub.12 on hemoglobin levels among adolescent girls. Methods A community-based cluster-randomized trial was conducted in the rural block of Faridabad District, Haryana, India in the year 2017. A total of 760 adolescent girls in the age group of 12-19 years with mild and moderate anemia were selected from government schools. Daily-supervised administration of iron and folic acid was conducted for 90 days: experimental group--IFA (iron (60 mg), folic acid (500) mcg), and cyanocobalamin (1000 mcg), control group--IFA and placebo. Hemoglobin, serum ferritin, and vitamin B.sub.12 levels were assessed at baseline and endline. Results Two-hundred adolescent girls completed 90 doses of daily supplementation. The mean hemoglobin (experimental group: 1.3 [plus or minus] 1.0 g/dL, control group: 1.6 [plus or minus] 1.2 g/dL, P = 0.004) and ferritin levels (experimental group: 18.6 [plus or minus] 31.5 ng/mL, control group: 18.8 [plus or minus] 35.0 ng/mL, P = 0.188) increased in both the control and experiment groups. Serum vitamin B.sub.12 deficiency significantly reduced to 2.5% in the experimental group and ferritin deficiency alleviated in more than 96% of the girls post intervention. Conclusions Daily supplementation of IFA with/without vitamin B.sub.12 for 90 days eliminated iron, vitamin B.sub.12 deficiency and reduced the overall proportion of anemia by 53.5%. However, addition of vitamin B.sub.12 to IFA supplementation had no impact on improving the hemoglobin levels among adolescent girls. The present study does not recommend provision of vitamin B.sub.12 for prevention and treatment of anemia in this population group., Author(s): Aakriti Gupta [sup.1] , Shashi Kant [sup.2] , Lakshmy Ramakrishnan [sup.3] , Ravindra Mohan Pandey [sup.4] , Ritika Khandelwal [sup.1] , Umesh Kapil [sup.1] , Harshpal Singh Sachdev [sup.5] [...]

Published
2021
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24. Airway management in the paediatric difficult intubation registry: a propensity score matched analysis of outcomes over time

Author

Stein, Mary Lyn, primary, Sarmiento Argüello, Lina Andrea, additional, Staffa, Steven J., additional, Heunis, Julia, additional, Egbuta, Chinyere, additional, Flynn, Stephen G., additional, Khan, Sabina A., additional, Sabato, Stefano, additional, Taicher, Brad M., additional, Chiao, Franklin, additional, Bosenberg, Adrian, additional, Lee, Angela C., additional, Adams, H. Daniel, additional, von Ungern-Sternberg, Britta S., additional, Park, Raymond S., additional, Peyton, James M., additional, Olomu, Patrick N., additional, Hunyady, Agnes I., additional, Garcia-Marcinkiewicz, Annery, additional, Fiadjoe, John E., additional, Kovatsis, Pete G., additional, Bruins, Benjamin, additional, Stricker, Paul, additional, Laverriere, Elizabeth, additional, Lockman, Justin L., additional, Struyk, Brian, additional, Ward, Christopher, additional, Nishisaki, Akira, additional, Kodavatiganti, Ramesh, additional, Guris, Rodrigo Daly, additional, Sequera-Ramos, Luis, additional, Teen, Mark, additional, Oke, Ayodele, additional, Hsu, Grace, additional, Lingappan, Arul, additional, Battles, Rhae, additional, Bocanegra, Ashley, additional, Goldfarb, Tally, additional, Kiss, Edgar, additional, Szmuk, Peter, additional, Mireles, Sam, additional, Murray, Andrea, additional, Whyte, Simon, additional, Jain, Ranu, additional, Matuszczak, Maria, additional, Holmes, Christopher, additional, McCann, Alexander, additional, Matava, Clyde, additional, Dalesio, Nicholas, additional, Greenberg, Robert, additional, Lucero, Angela, additional, Desai, Sapna, additional, Rosander, Sondra, additional, Samba, Sindhu, additional, Schrock, Charles, additional, Nykiel-Bailey, Sydney, additional, Marsh, Jennifer, additional, Peterson, Melissa Brooks, additional, Lee, Amy, additional, Bhattacharya, Somaletha, additional, Burjek, Nicholas, additional, Jagannathan, Narasimhan, additional, Lardner, David, additional, Crockett, Christy, additional, Robetson, Sara, additional, Patel, Jasmine, additional, Sharma, Aarti, additional, Templeton, Thomas, additional, Marín, Piedad Echeverry, additional, Pérez-Pradilla, Carolina, additional, Singh, Neeta, additional, Sommerfield, David, additional, Hauser, Neil, additional, Hesselink, Emily, additional, Lewkowitz-Shpuntoff, Hilana, additional, Castro, Pilar, additional, Riveros Perez, N. Ricardo, additional, Vega, Eduardo, additional, González, Alejandro, additional, Ostermann, Paola, additional, Rubin, Kasia, additional, Meserve, Jonathan, additional, Lord, Charles, additional, Lee, Angela, additional, Valairucha, Songyos, additional, Dalal, Priti, additional, Tran, Thanh, additional, Anspach, Taylor, additional, Lee, Lisa K., additional, Ayad, Ihab, additional, Rehman, Mohamed, additional, Fernandez, Allison, additional, Zamora, Lillian, additional, Ravula, Niroop, additional, Shaik, Sadiq, additional, Szolnoki, Judit, additional, Mathew, Preethy, additional, Yaddanapudi, Sandhya, additional, Sen, Indu, additional, Gupta, Aakriti, additional, Handlogten, Kathryn, additional, Sroka, J. Michael, additional, Quintão, Vinícius Caldeira, additional, Carlos, Ricardo Vieira, additional, and Leite, Fernanda, additional

Published
2024
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26. Investigating Lipid-Modulating Agents for Prevention or Treatment of COVID-19: JACC State-of-the-Art Review

Author

Talasaz, Azita H., Sadeghipour, Parham, Aghakouchakzadeh, Maryam, Dreyfus, Isaac, Kakavand, Hessam, Ariannejad, Hamid, Gupta, Aakriti, Madhavan, Mahesh V., Van Tassell, Benjamin W., Jimenez, David, Monreal, Manuel, Vaduganathan, Muthiah, Fanikos, John, Dixon, Dave L., Piazza, Gregory, Parikh, Sahil A., Bhatt, Deepak L., Lip, Gregory Y.H., Stone, Gregg W., Krumholz, Harlan M., Libby, Peter, Goldhaber, Samuel Z., and Bikdeli, Behnood

Published
2021
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31. TCT-545 Effect of Transcatheter Aortic Valve Replacement on Ascending Aortic Aneurysm Progression in Bicuspid Aortic Valve Patients: A Retrospective Analysis

Author

Koren, Ofir, primary, Patel, Vivek, additional, Nagasaka, Takashi, additional, Assaf, Dan, additional, Sadri, Shirin, additional, Naami, Robert, additional, Torbati, Tina, additional, Hassan, Daniel Zumerkorn, additional, Dhillon, Manvir, additional, Shechter, Alon, additional, Gupta, Aakriti, additional, Jilaihawi, Hasan, additional, Chakravarty, Tarun, additional, Nakamura, Mamoo, additional, Cheng, Wen, additional, and Makkar, Raj, additional

Published
2023
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32. TCT-182 Anatomic Factors Linked to Complications During Deployment of Balloon-Expandable TAVR: Insights From CT-Based Analysis

Author

Koren, Ofir, primary, Patel, Vivek, additional, Moshkovits, Yonatan, additional, Naami, Robert, additional, Torbati, Tina, additional, Assaf, Dan, additional, Shechter, Alon, additional, Gupta, Aakriti, additional, Chakravarty, Tarun, additional, Nakamura, Mamoo, additional, Cheng, Wen, additional, Jilaihawi, Hasan, additional, and Makkar, Raj, additional

Published
2023
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33. TCT-588 Association of Prosthesis Deformation of Balloon-Expandable Transcatheter Aortic Valves With Subclinical Leaflet Thrombosis

Author

Pawar, Shubhadarshini, primary, Patel, Vivek, additional, Nagasaka, Takashi, additional, Basantes, Jair, additional, Patel, Dhairya, additional, Chakravarty, Tarun, additional, Koren, Ofir, additional, Nakamura, Mamoo, additional, Cheng, Wen, additional, Jilaihawi, Hasanian, additional, Gupta, Aakriti, additional, and Makkar, Raj, additional

Published
2023
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34. TCT-68 Cardiac Implantable Electronic Device Lead-Related Tricuspid Regurgitation in Patients Presenting for Transcatheter Tricuspid Valve Interventions

Author

Kumar, Baban, primary, Skaf, Sabah, additional, Jilaihawi, Hasan, additional, Sekhon, Navjot, additional, Golwala, Keyur, additional, Patel, Dhairya, additional, Hassan, Daniel Zumerkorn, additional, Pawar, Shubhadarshini, additional, Gheorgiu, Mitch, additional, Makar, Moody, additional, Chakravarty, Tarun, additional, Nakamura, Mamoo, additional, Gupta, Aakriti, additional, Singh, Siddharth, additional, Cheng, Wen, additional, and Makkar, Raj, additional

Published
2023
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36. TCT-217 2-Year Outcomes of Valve-in-Valve Using New-Generation Transcatheter Devices Compared With Redo-SAVR

Author

Koren, Ofir, primary, Nagasaka, Takashi, additional, Patel, Vivek, additional, Naami, Robert, additional, Shechter, Alon, additional, Kohan, Siamak, additional, Allison, Zev, additional, Lerner, Addee, additional, Cheng, Daniel, additional, Chakravarty, Tarun, additional, Nakamura, Mamoo, additional, Jilaihawi, Hasan, additional, Gupta, Aakriti, additional, and Makkar, Raj, additional

Published
2023
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37. Association between antecedent statin use and decreased mortality in hospitalized patients with COVID-19

Author

Gupta, Aakriti, Madhavan, Mahesh V., Poterucha, Timothy J., DeFilippis, Ersilia M., Hennessey, Jessica A., Redfors, Bjorn, Eckhardt, Christina, Bikdeli, Behnood, Platt, Jonathan, Nalbandian, Ani, Elias, Pierre, Cummings, Matthew J., Nouri, Shayan N., Lawlor, Matthew, Ranard, Lauren S., Li, Jianhua, Boyle, Claudia, Givens, Raymond, Brodie, Daniel, Krumholz, Harlan M., Stone, Gregg W., Sethi, Sanjum S., Burkhoff, Daniel, Uriel, Nir, Schwartz, Allan, Leon, Martin B., Kirtane, Ajay J., Wan, Elaine Y., and Parikh, Sahil A.

Published
2021
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43. Atorvastatin versus Placebo in ICU Patients with COVID-19: Ninety-day Results of the INSPIRATION-S Trial

Author

Talasaz, Azita H., additional, Sadeghipour, Parham, additional, Bakhshandeh, Hooman, additional, Sharif-Kashani, Babak, additional, Rashidi, Farid, additional, Beigmohammadi, Mohammad Taghi, additional, Moghadam, Keivan Gohari, additional, Rezaian, Somaye, additional, Dabbagh, Ali, additional, Sezavar, Seyed Hashem, additional, Farrokhpour, Mohsen, additional, Abedini, Atefeh, additional, Aliannejad, Rasoul, additional, Riahi, Taghi, additional, Yadollahzadeh, Mahdi, additional, Lookzadeh, Somayeh, additional, Rezaeifar, Parisa, additional, Matin, Samira, additional, Tahamtan, Ouria, additional, Mohammadi, Keyhan, additional, Zoghi, Elnaz, additional, Rahmani, Hamid, additional, Hosseini, Seyed Hossein, additional, Mousavian, Seyed Masoud, additional, Abri, Homa, additional, Sadeghipour, Pardis, additional, Baghizadeh, Elahe, additional, Rafiee, Farnaz, additional, Jamalkhani, Sepehr, additional, Amin, Ahmad, additional, Mohebbi, Bahram, additional, Parhizgar, Seyed Ehsan, additional, Soleimanzadeh, Mahshid, additional, Aghakouchakzadeh, Maryam, additional, Eslami, Vahid, additional, Payandemehr, Pooya, additional, Khalili, Hossein, additional, Talakoob, Hamed, additional, Tojari, Taranom, additional, Shafaghi, Shadi, additional, Tabrizi, Sanaz, additional, Kakavand, Hessam, additional, Kashefizadeh, Alireza, additional, Najafi, Atabak, additional, Jimenez, David, additional, Gupta, Aakriti, additional, Madhavan, Mahesh V., additional, Sethi, Sanjum S., additional, Parikh, Sahil A., additional, Monreal, Manuel, additional, Hadavand, Naser, additional, Hajighasemi, Alireza, additional, Ansarin, Khalil, additional, Maleki, Majid, additional, Sadeghian, Saeed, additional, Barco, Stefano, additional, Siegerink, Bob, additional, Spatz, Erica S., additional, Piazza, Gregory, additional, Kirtane, Ajay J., additional, Tassell, Benjamin W. Van, additional, Lip, Gregory Y. H., additional, Klok, Frederikus A., additional, Goldhaber, Samuel Z., additional, Stone, Gregg W., additional, Krumholz, Harlan M., additional, and Bikdeli, Behnood, additional

Published
2023
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45. Checkpoint inhibitor-associated bullous cutaneous immune-related adverse events: a multicentre observational study

Author

Kawsar, Anusuya, primary, Edwards, Charlotte, additional, Patel, Pooja, additional, Heywood, Richard M., additional, Gupta, Aakriti, additional, Mann, Jasmine, additional, Harland, Christopher, additional, Heelan, Kara, additional, Larkin, James, additional, Lorigan, Paul, additional, Harwood, Catherine A., additional, Matin, Rubeta N., additional, and Fearfield, Louise, additional

Published
2022
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48. Automated severe aortic stenosis detection on single-view echocardiography: A multi-center deep learning study

Author

Holste, Gregory, primary, Oikonomou, Evangelos K., additional, Mortazavi, Bobak J., additional, Coppi, Andreas, additional, Faridi, Kamil F., additional, Miller, Edward J., additional, Forrest, John K., additional, McNamara, Robert L., additional, Ohno-Machado, Lucila, additional, Yuan, Neal, additional, Gupta, Aakriti, additional, Ouyang, David, additional, Krumholz, Harlan M., additional, Wang, Zhangyang, additional, and Khera, Rohan, additional

Published
2022
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50. 2022 AHA/ACC Key Data Elements and Definitions for Cardiovascular and Noncardiovascular Complications of COVID-19: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards

Author

Bozkurt, Biykem, primary, Das, Sandeep R., additional, Addison, Daniel, additional, Gupta, Aakriti, additional, Jneid, Hani, additional, Khan, Sadiya S., additional, Koromia, George Augustine, additional, Kulkarni, Prathit A., additional, LaPoint, Kathleen, additional, Lewis, Eldrin F., additional, Michos, Erin D., additional, Peterson, Pamela N., additional, Turagam, Mohit K., additional, Wang, Tracy Y., additional, and Yancy, Clyde W., additional

Published
2022
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