TY - JOUR
T1 - Association of glycemic control with Long COVID in patients with type 2 diabetes
T2 - findings from the National COVID Cohort Collaborative (N3C)
AU - The N3C Consortium
AU - Soff, Samuel
AU - Yoo, Yun Jae
AU - Bramante, Carolyn
AU - Reusch, Jane E.B.
AU - Huling, Jared Davis
AU - Hall, Margaret A.
AU - Brannock, Daniel
AU - Sturmer, Til
AU - Butzin-Dozier, Zachary
AU - Wong, Rachel
AU - Moffitt, Richard
AU - Wilcox, Adam B.
AU - Lee, Adam M.
AU - Graves, Alexis
AU - Anzalone, Alfred Jerrod
AU - Manna, Amin
AU - Saha, Amit
AU - Olex, Amy
AU - Zhou, Andrea
AU - Williams, Andrew E.
AU - Southerland, Andrew
AU - Girvin, Andrew T.
AU - Walden, Anita
AU - Sharathkumar, Anjali A.
AU - Amor, Benjamin
AU - Bates, Benjamin
AU - Hendricks, Brian
AU - Patel, Brijesh
AU - Alexander, Caleb
AU - Bramante, Carolyn
AU - Ward-Caviness, Cavin
AU - Madlock-Brown, Charisse
AU - Suver, Christine
AU - Chute, Christopher
AU - Dillon, Christopher
AU - Wu, Chunlei
AU - Schmitt, Clare
AU - Takemoto, Cliff
AU - Housman, Dan
AU - Gabriel, Davera
AU - Eichmann, David A.
AU - Mazzotti, Diego
AU - Brown, Don
AU - Boudreau, Eilis
AU - Hill, Elaine
AU - Zampino, Elizabeth
AU - Marti, Emily Carlson
AU - Pfaff, Emily R.
AU - French, Evan
AU - Koraishy, Farrukh M.
AU - Mariona, Federico
AU - Prior, Fred
AU - Sokos, George
AU - Martin, Greg
AU - Lehmann, Harold
AU - Spratt, Heidi
AU - Mehta, Hemalkumar
AU - Liu, Hongfang
AU - Sidky, Hythem
AU - Hayanga, J. W.Awori
AU - Pincavitch, Jami
AU - Clark, Jaylyn
AU - Harper, Jeremy Richard
AU - Islam, Jessica
AU - Ge, Jin
AU - Gagnier, Joel
AU - Saltz, Joel H.
AU - Saltz, Joel
AU - Loomba, Johanna
AU - Buse, John
AU - Mathew, Jomol
AU - Rutter, Joni L.
AU - McMurry, Julie A.
AU - Guinney, Justin
AU - Starren, Justin
AU - Crowley, Karen
AU - Bradwell, Katie Rebecca
AU - Walters, Kellie M.
AU - Wilkins, Ken
AU - Gersing, Kenneth R.
AU - Cato, Kenrick Dwain
AU - Murray, Kimberly
AU - Kostka, Kristin
AU - Northington, Lavance
AU - Pyles, Lee Allan
AU - Misquitta, Leonie
AU - Cottrell, Lesley
AU - Portilla, Lili
AU - Deacy, Mariam
AU - Bissell, Mark M.
AU - Clark, Marshall
AU - Emmett, Mary
AU - Saltz, Mary Morrison
AU - Palchuk, Matvey B.
AU - Haendel, Melissa A.
AU - Adams, Meredith
AU - Temple-O'Connor, Meredith
AU - Kurilla, Michael G.
AU - Morris, Michele
AU - Qureshi, Nabeel
AU - Safdar, Nasia
AU - Garbarini, Nicole
AU - Sharafeldin, Noha
AU - Sadan, Ofer
AU - Francis, Patricia A.
AU - Burgoon, Penny Wung
AU - Robinson, Peter
AU - Payne, Philip R.O.
AU - Fuentes, Rafael
AU - Jawa, Randeep
AU - Erwin-Cohen, Rebecca
AU - Patel, Rena
AU - Moffitt, Richard A.
AU - Zhu, Richard L.
AU - Kamaleswaran, Rishi
AU - Hurley, Robert
AU - Miller, Robert T.
AU - Pyarajan, Saiju
AU - Michael, Sam G.
AU - Bozzette, Samuel
AU - Mallipattu, Sandeep
AU - Vedula, Satyanarayana
AU - Chapman, Scott
AU - O'Neil, Shawn T.
AU - Setoguchi, Soko
AU - Hong, Stephanie S.
AU - Johnson, Steve
AU - Bennett, Tellen D.
AU - Callahan, Tiffany
AU - Topaloglu, Umit
AU - Sheikh, Usman
AU - Gordon, Valery
AU - Subbian, Vignesh
AU - Kibbe, Warren A.
AU - Hernandez, Wenndy
AU - Beasley, Will
AU - Cooper, Will
AU - Hillegass, William
AU - Zhang, Xiaohan Tanner
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ Group.
PY - 2025/2/4
Y1 - 2025/2/4
N2 - Introduction Elevated glycosylated hemoglobin (HbA1c) in individuals with type 2 diabetes is associated with increased risk of hospitalization and death after acute COVID-19, however the effect of HbA1c on Long COVID is unclear. Objective Evaluate the association of glycemic control with the development of Long COVID in patients with type 2 diabetes (T2D). Research design and methods We conducted a retrospective cohort study using electronic health record data from the National COVID Cohort Collaborative. Our cohort included individuals with T2D from eight sites with longitudinal natural language processing (NLP) data. The primary outcome was death or new-onset recurrent Long COVID symptoms within 30-180 days after COVID-19. Symptoms were identified as keywords from clinical notes using NLP in respiratory, brain fog, fatigue, loss of smell/taste, cough, cardiovascular and musculoskeletal symptom categories. Logistic regression was used to evaluate the risk of Long COVID by HbA1c range, adjusting for demographics, body mass index, comorbidities, and diabetes medication. A COVID-negative group was used as a control. Results Among 7430 COVID-positive patients, 1491 (20.1%) developed symptomatic Long COVID, and 380 (5.1%) died. The primary outcome of death or Long COVID was increased in patients with HbA1c 8% to <10% (OR 1.20, 95% CI 1.02 to 1.41) and ≥10% (OR 1.40, 95% CI 1.14 to 1.72) compared with those with HbA1c 6.5% to <8%. This association was not seen in the COVID-negative group. Higher HbA1c levels were associated with increased risk of Long COVID symptoms, especially respiratory and brain fog. There was no association between HbA1c levels and risk of death within 30-180 days following COVID-19. NLP identified more patients with Long COVID symptoms compared with diagnosis codes. Conclusion Poor glycemic control (HbA1c≥8%) in people with T2D was associated with higher risk of Long COVID symptoms 30-180 days following COVID-19. Notably, this risk increased as HbA1c levels rose. However, this association was not observed in patients with T2D without a history of COVID-19. An NLP-based definition of Long COVID identified more patients than diagnosis codes and should be considered in future studies.
AB - Introduction Elevated glycosylated hemoglobin (HbA1c) in individuals with type 2 diabetes is associated with increased risk of hospitalization and death after acute COVID-19, however the effect of HbA1c on Long COVID is unclear. Objective Evaluate the association of glycemic control with the development of Long COVID in patients with type 2 diabetes (T2D). Research design and methods We conducted a retrospective cohort study using electronic health record data from the National COVID Cohort Collaborative. Our cohort included individuals with T2D from eight sites with longitudinal natural language processing (NLP) data. The primary outcome was death or new-onset recurrent Long COVID symptoms within 30-180 days after COVID-19. Symptoms were identified as keywords from clinical notes using NLP in respiratory, brain fog, fatigue, loss of smell/taste, cough, cardiovascular and musculoskeletal symptom categories. Logistic regression was used to evaluate the risk of Long COVID by HbA1c range, adjusting for demographics, body mass index, comorbidities, and diabetes medication. A COVID-negative group was used as a control. Results Among 7430 COVID-positive patients, 1491 (20.1%) developed symptomatic Long COVID, and 380 (5.1%) died. The primary outcome of death or Long COVID was increased in patients with HbA1c 8% to <10% (OR 1.20, 95% CI 1.02 to 1.41) and ≥10% (OR 1.40, 95% CI 1.14 to 1.72) compared with those with HbA1c 6.5% to <8%. This association was not seen in the COVID-negative group. Higher HbA1c levels were associated with increased risk of Long COVID symptoms, especially respiratory and brain fog. There was no association between HbA1c levels and risk of death within 30-180 days following COVID-19. NLP identified more patients with Long COVID symptoms compared with diagnosis codes. Conclusion Poor glycemic control (HbA1c≥8%) in people with T2D was associated with higher risk of Long COVID symptoms 30-180 days following COVID-19. Notably, this risk increased as HbA1c levels rose. However, this association was not observed in patients with T2D without a history of COVID-19. An NLP-based definition of Long COVID identified more patients than diagnosis codes and should be considered in future studies.
KW - COVID-19
KW - Database
KW - Diabetes Complications
KW - Diabetes Mellitus, Type 2
UR - http://www.scopus.com/inward/record.url?scp=85217126299&partnerID=8YFLogxK
U2 - 10.1136/bmjdrc-2024-004536
DO - 10.1136/bmjdrc-2024-004536
M3 - Article
C2 - 39904520
AN - SCOPUS:85217126299
SN - 2052-4897
VL - 13
JO - BMJ Open Diabetes Research and Care
JF - BMJ Open Diabetes Research and Care
IS - 1
M1 - e004536
ER -