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24 citation(s) found for "Wagner, Tyler".

Author response: Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC)
Wagner, Tyler , Puranik, Arjun, Loscalzo, Liam, Pruthi, Rajiv K. , Morice, William G. , Williams, Amy W. , Barnathan, Elliot S. , Makimura, Hideo, Khan, Najat, Pawlowski, Colin , Murugadoss, Karthik , Venkatakrishnan, A J , Houghton, Damon E. , O’Horo, John C. , Morice, William George , Gores, Gregory J. , Halamka, John , Badley, Andrew D. , Soundararajan, Venky

No container title available | September 4, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.59209.sa2 Get It

Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC)
Pawlowski, Colin , Wagner, Tyler , Puranik, Arjun, Loscalzo, Liam, Pruthi, Rajiv K. , Houghton, Damon E. , O’Horo, John C. , Morice, William G. , Williams, Amy W. , Badley, Andrew D. , Barnathan, Elliot S. , Makimura, Hideo, Khan, Najat, O'Horo, John C, Soundararajan, Venky , Houghton, Damon E , Badley, Andrew D , O'Horo, John C , Murugadoss, Karthik , Venkatakrishnan, A J , Morice, William George , Gores, Gregory J. , Halamka, John , Soundararajan, Venky

eLife | August 17, 2020 | Volume: 9 | Issue: No issue available | Pages: No page available

10.7554/elife.59209 | PMID 32804081 Get It

Temporal inference from laboratory testing results and triangulation with clinical outcomes extracted from unstructured electronic health record (EHR) provider notes is integral to advancing precision medicine. Here, we studied 246 SARS-CoV-2 PCR-positive (COVID pos ) patients and propensity-matched 2460 SARS-CoV-2 PCR-negative (COVID neg ) patients subjected to around 700,000 lab tests cumulatively across 194 assays. Compared to COVID neg patients at the time of diagnostic testing, COVID pos patients tended to have higher plasma fibrinogen levels and lower platelet counts. However, as the infection evolves, COVID pos patients distinctively show declining fibrinogen, increasing platelet counts, and lower white blood cell counts. Augmented curation of EHRs suggests that only a minority of COVID pos patients develop thromboembolism, and rarely, disseminated intravascular coagulopathy (DIC), with patients generally not displaying platelet reductions typical of consumptive coagulopathies. These temporal trends provide fine-grained resolution into COVID-19 associated coagulopathy (CAC) and set the stage for personalizing thromboprophylaxis.
Author response: Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis
Wagner, Tyler , Bade, Sairam, Puranik, Arjun, Kang, Martin , Pickering, Brian W. , Temesgen, Zelalem , Rizza, Stacey A. , Wilson, Walter R. , Liebers, Matt, Doctor, Zainab M., Silvert, Eli , Solomon, Hugo, Barve, Rakesh , Williams, Amy W. , Morice, William G. , Wagner, Tyler, Shweta, Fnu , Murugadoss, Karthik , Awasthi, Samir , Venkatakrishnan, A J , O’Horo, John C. , Bauer, Philippe R. , Razonable, Raymund R. , Vergidis, Paschalis , Mahmood, Maryam , Challener, Douglas W. , Anand, Praveen , Anand, Akash, Gores, Gregory J. , Morice, William George , Halamka, John , Badley, Andrew D. , Soundararajan, Venky

No container title available | August 6, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.58227.sa2 Get It

Augmented curation of clinical notes from a massive EHR system reveals symptoms of impending COVID-19 diagnosis
Wagner, Tyler , Shweta, Fnu , Awasthi, Samir , Bade, Sairam, Puranik, Arjun, Kang, Martin , Pickering, Brian W. , O’Horo, John C. , Vergidis, Paschalis , Temesgen, Zelalem , Rizza, Stacey A. , Mahmood, Maryam , Wilson, Walter R. , Liebers, Matt, Doctor, Zainab M., Silvert, Eli , Solomon, Hugo, Barve, Rakesh , Williams, Amy W. , Morice, William G. , Badley, Andrew D. , Venkatakrishnan, A J , O'Horo, John C, Rizza, Stacey , Challener, Douglas , Anand, Praveen , Badley, Andrew, Soundararajan, Venky , Badley, Andrew D , O'Horo, John C , Vergidis, Paschalis , Mahmood, Maryam , Shweta, Fnu , Wagner, Tyler, Murugadoss, Karthik , Bauer, Philippe R. , Razonable, Raymund R. , Challener, Douglas W. , Anand, Praveen , Anand, Akash, Gores, Gregory J. , Morice, William George , Halamka, John , Soundararajan, Venky

eLife | July 7, 2020 | Volume: 9 | Issue: No issue available | Pages: No page available

10.7554/elife.58227 | PMID 32633720 Get It

Understanding temporal dynamics of COVID-19 symptoms could provide fine-grained resolution to guide clinical decision-making. Here, we use deep neural networks over an institution-wide platform for the augmented curation of clinical notes from 77,167 patients subjected to COVID-19 PCR testing. By contrasting Electronic Health Record (EHR)-derived symptoms of COVID-19-positive (COVID pos ; n = 2,317) versus COVID-19-negative (COVID neg ; n = 74,850) patients for the week preceding the PCR testing date, we identify anosmia/dysgeusia (27.1-fold), fever/chills (2.6-fold), respiratory difficulty (2.2-fold), cough (2.2-fold), myalgia/arthralgia (2-fold), and diarrhea (1.4-fold) as significantly amplified in COVID pos over COVID neg patients. The combination of cough and fever/chills has 4.2-fold amplification in COVID pos patients during the week prior to PCR testing, in addition to anosmia/dysgeusia, constitutes the earliest EHR-derived signature of COVID-19. This study introduces an Augmented Intelligence platform for the real-time synthesis of institutional biomedical knowledge. The platform holds tremendous potential for scaling up curation throughput, thus enabling EHR-powered early disease diagnosis.