Adit Anand

ORCID: 0000-0002-7310-6848
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About
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Research Areas
  • COVID-19 Clinical Research Studies
  • Long-Term Effects of COVID-19
  • Machine Learning in Healthcare
  • Diabetes and associated disorders
  • Diabetes Management and Research
  • Sepsis Diagnosis and Treatment
  • Kawasaki Disease and Coronary Complications
  • Pancreatitis Pathology and Treatment
  • Health, Environment, Cognitive Aging
  • Chronic Disease Management Strategies
  • Endometriosis Research and Treatment
  • Uterine Myomas and Treatments
  • Scientific Computing and Data Management
  • COVID-19 and healthcare impacts
  • COVID-19 diagnosis using AI
  • Artificial Intelligence in Healthcare
  • Gynecological conditions and treatments
  • Respiratory viral infections research
  • Health Systems, Economic Evaluations, Quality of Life
  • Data Quality and Management
  • COVID-19 and Mental Health

Columbia University
2024

Stony Brook University
2021-2023

Tanayott Thaweethai Sarah E. Jolley Elizabeth W. Karlson Emily B. Levitan Bruce D. Levy and 95 more Grace A. McComsey Lisa McCorkell Girish N. Nadkarni Sairam Parthasarathy Upinder Singh Tiffany Walker Caitlin Selvaggi Daniel J. Shinnick Carolin C. M. Schulte Rachel Atchley-Challenner Leora I. Horwitz Andrea S. Foulkes Judith A. Aberg Natalie L. Adolphi Shreya Ahirwar Shifa Ahmed Neera Ahuja Masanori Aikawa Almary Akerlundh Teresa Akintonwa Aseel Al‐Jadiri Natalya Alekhina Heather A. Algren Akram N. Alshawabkeh Nariman Ammar Adit Anand Brett R. Anderson Lisa Aponte‐Soto Judy L. Aschner Mary Atha Andrew M. Atz Robin L. Aupperle Mirna Ayache Eduardo Azziz‐Baumgartner L. Charles Bailey Fiona C. Baker Venkataraman Balaraman Jennifer A. Bandy Dithi Banerjee Deanna M. Barch James M. Bardes Jackson Barlocker R. Graham Barr Arielle Baskin–Sommers Sanjib Basu Tracy A. Battaglia Leah Castro Baucom Carmen Beamon Casey L. Beaty Noam D. Beckmann Jasmine A. Berry Nahid Bhadelia Daksh Bhargava Sultana Bhuiyan Jiang Bian Christian Bime James M. Bjork Lora Black Catherine A. Blish Jason P. Block Amanda Bogie Dawn Bolliger William J. Bonaventura Seuli Bose‐Brill Mary Bower Andrew D. Boyd Jerusha Boyineni Steven B. Bradfute Carolyn T. Bramante M. Daniel Brannock J. Douglas Bremner Shari B. Brosnahan Natalie C. Buchbinder Elliott Bueler Irina A. Buhimschi Hülya Bükülmez H. Timothy Bunnell John B. Buse Elizabeth A. Calhoun Tingyi Cao Michael D. Carrithers Thomas W. Carton Abigail Case B.J. Casey Faye Victoria C. Casimero Lauren Castro Teresa C. Cato Patricia Ceger Connie L. Cerullo Linda Chang A. Ann Chang Praneeth Chebrolu Yong Chen Long‐Qing Chen Benjamin K. Chen

Importance SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms other health effects occurring after acute infection, termed postacute sequelae of (PASC), also known as long COVID . Characterizing PASC requires analysis prospectively and uniformly collected data from diverse uninfected infected individuals. Objective To develop a definition using self-reported describe frequencies across cohorts, vaccination status, number infections. Design, Setting, Participants...

10.1001/jama.2023.8823 article EN JAMA 2023-05-25
Tellen D. Bennett Richard A. Moffitt Janos Hajagos Benjamin Amor Adit Anand and 95 more Mark M. Bissell Katie R. Bradwell Carolyn Bremer James Brian Byrd Alina Denham Peter E. DeWitt Davera Gabriel Brian T. Garibaldi Andrew T. Girvin Justin Guinney Elaine Hill Stephanie Hong Hunter Jimenez Ramakanth Kavuluru Kristin Kostka Harold P. Lehmann Eli B. Levitt Sandeep K. Mallipattu Amin Manna Julie A. McMurry Michele Morris John Muschelli Andrew J. Neumann Matvey B. Palchuk Emily Pfaff Zhenglong Qian Nabeel Qureshi Seth Russell Heidi Spratt Anita Walden Andrew E. Williams Jacob T. Wooldridge Yun Jae Yoo Xiaohan Tanner Zhang Richard L. Zhu Christopher P. Austin Joel Saltz Kenneth Gersing Melissa Haendel Christopher G. Chute Joel Gagnier Siqing Hu Kanchan Lota Sarah E. Maidlow David A. Hanauer Kevin J. Weatherwax Nikhila Gandrakota Rishikesan Kamaleswaran Greg S. Martin Jingjing Qian Jason E. Farley Patricia A. Francis Dazhi Jiao Hadi Kharrazi Justin Reese Mariam Deacy Usman Ullah Sheikh Jake Y. Chen Michael Quinn Patton T. Bennett Ramsey Jasvinder A. Singh James J. Cimino Jing Su William G. Adams Timothy Q. Duong John B. Buse Jessica Y. Islam Jihad S. Obeid Stéphane M. Meystre Steve Patterson Misha Zemmel Ron Grider A. Pérez Martínez Carlos Antônio do Nascimento Santos Julian Solway Ryan G. Chiu Gerald B. Brown Jia-Feng Cui Sharon X. Liang Kamil Khanipov Jeremy Richard Harper Peter J. Embí David Eichmann Boyd M. Knosp William B. Hillegass Chunlei Wu James R. Aaron Darren W. Henderson Muhammad Gul Tamela Harper Daniel R. Harris Jeffery Talbert Neil Bahroos Steven M. Dubinett Jomol Mathew

The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.

10.1001/jamanetworkopen.2021.16901 article EN cc-by-nc-nd JAMA Network Open 2021-07-13

<h3>Importance</h3> Understanding of SARS-CoV-2 infection in US children has been limited by the lack large, multicenter studies with granular data. <h3>Objective</h3> To examine characteristics, changes over time, outcomes, and severity risk factors within National COVID Cohort Collaborative (N3C). <h3>Design, Setting, Participants</h3> A prospective cohort study encounters end dates before September 24, 2021, was conducted at 56 N3C facilities throughout US. Participants included younger...

10.1001/jamanetworkopen.2021.43151 article EN cc-by-nc-nd JAMA Network Open 2022-02-08

The majority of U.S. reports COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation National COVID Cohort Collaborative (N3C), a centralized, harmonized, high-granularity electronic record repository that is largest, most representative cohort cases controls to date. This multi-center dataset supports robust evidence-based development predictive diagnostic tools informs critical care policy.In...

10.1101/2021.01.12.21249511 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2021-01-13

OBJECTIVE The purpose of the study is to evaluate relationship between HbA1c and severity coronavirus disease 2019 (COVID-19) outcomes in patients with type 2 diabetes (T2D) acute COVID-19 infection. RESEARCH DESIGN AND METHODS We conducted a retrospective using observational data from National COVID Cohort Collaborative (N3C), longitudinal, multicenter U.S. cohort Patients were ≥18 years old T2D confirmed infection by laboratory testing or diagnosis code. primary outcome was 30-day...

10.2337/dc21-2186 article EN Diabetes Care 2022-02-24

Abstract Objective Clinical encounter data are heterogeneous and vary greatly from institution to institution. These problems of variance affect interpretability usability clinical for analysis. magnified when multisite electronic health record (EHR) networked together. This article presents a novel, generalizable method resolving heterogeneity analysis by combining related atomic encounters into composite “macrovisits.” Materials Methods Encounters were composed 75 partner sites harmonized...

10.1093/jamia/ocad057 article EN Journal of the American Medical Informatics Association 2023-04-22

Abstract Objective The goals of this study were to harmonize data from electronic health records (EHRs) into common units, and impute units that missing. Materials Methods National COVID Cohort Collaborative (N3C) table laboratory measurement data—over 3.1 billion patient over 19 000 unique concepts in the Observational Medical Outcomes Partnership (OMOP) common-data-model format 55 partners. We grouped ontologically similar OMOP together for 52 variables relevant COVID-19 research,...

10.1093/jamia/ocac054 article EN cc-by-nc Journal of the American Medical Informatics Association 2022-04-14

Abstract Importance SARS-CoV-2 Objective To determine the characteristics, changes over time, outcomes, and severity risk factors of affected children within National COVID Cohort Collaborative (N3C) Design Prospective cohort study patient encounters with end dates before May 27th, 2021. Setting 45 N3C institutions Participants Children &lt;19-years-old at initial testing Main Outcomes Measures Case incidence demographic comorbidity factors, vital sign laboratory trajectories, clinical acute...

10.1101/2021.07.19.21260767 preprint EN cc-by-nd medRxiv (Cold Spring Harbor Laboratory) 2021-07-22

OBJECTIVE To evaluate the association of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and severity with longer-term glycemic control weight in people type diabetes (T2D) U.S. RESEARCH DESIGN AND METHODS We conducted a retrospective cohort study using longitudinal electronic health record data patients SARS-CoV-2 from National COVID Cohort Collaborative (N3C). Patients were ≥18 years old an ICD-10 diagnosis T2D at least one HbA1c measurement prior to after index date...

10.2337/dc22-0730 article EN Diabetes Care 2022-09-13

ABSTRACT OBJECTIVE Clinical encounter data are heterogeneous and vary greatly from institution to institution. These problems of variance affect interpretability usability clinical for analysis. magnified when multi-site electronic health record networked together. This paper presents a novel, generalizable method resolving heterogeneity analysis by combining related atomic encounters into composite ‘macrovisits.’ MATERIALS AND METHODS Encounters were composed 75 partner sites harmonized...

10.1101/2022.10.14.22281106 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-10-17

ABSTRACT STUDY QUESTION Do recent changes in European Society of Human Reproduction and Embryology (ESHRE) clinical guidelines result more comprehensive diagnosis women with endometriosis? SUMMARY ANSWER The latest shift results endometriosis but current ESHRE diagnostic criteria do not capture a sizable percentage the disease. WHAT IS KNOWN ALREADY Historically, laparoscopy was gold standard for diagnosing endometriosis, complex gynecological condition marked by heterogeneous set symptoms...

10.1101/2024.12.13.24319010 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2024-12-16

&lt;i&gt;Objective: &lt;/i&gt;The purpose of the study is to evaluate relationship between HbA1c and severity COVID-19 outcomes in patients with type 2 diabetes mellitus (T2D) acute infection. &lt;p&gt;&lt;i&gt;Research Design Methods: &lt;/i&gt;We conducted a retrospective using observational data from National COVID Cohort Collaborative (N3C), longitudinal, multicenter US cohort Patients were ≥18 years old T2D confirmed infection by either laboratory testing or diagnosis code. The primary...

10.2337/figshare.19119302 preprint EN cc-by-nc-sa 2022-02-24

&lt;i&gt;Objective: &lt;/i&gt;The purpose of the study is to evaluate relationship between HbA1c and severity COVID-19 outcomes in patients with type 2 diabetes mellitus (T2D) acute infection. &lt;p&gt;&lt;i&gt;Research Design Methods: &lt;/i&gt;We conducted a retrospective using observational data from National COVID Cohort Collaborative (N3C), longitudinal, multicenter US cohort Patients were ≥18 years old T2D confirmed infection by either laboratory testing or diagnosis code. The primary...

10.2337/figshare.19119302.v1 preprint EN cc-by-nc-sa 2022-02-24
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