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Onuoha C, Schulte CCM, Thaweethai T, Hsu S, Pant D, James KE, Sen S, Kaimal A, Powe CE. The simultaneous occurrence of gestational diabetes and hypertensive disorders of pregnancy affects fetal growth and neonatal morbidity. Am J Obstet Gynecol 2024:S0002-9378(24)00438-1. [PMID: 38492713 DOI: 10.1016/j.ajog.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/04/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Gestational diabetes is associated with increased risk of hypertensive disorders of pregnancy, but there are limited data on fetal growth and neonatal outcomes when both conditions are present. OBJECTIVE We evaluated the risk of abnormal fetal growth and neonatal morbidity in pregnancies with co-occurrence of gestational diabetes and hypertensive disorders of pregnancy. STUDY DESIGN In a retrospective study of 47,093 singleton pregnancies, we compared the incidence of appropriate for gestational age birthweight in pregnancies affected by gestational diabetes alone, hypertensive disorders of pregnancy alone, or both gestational diabetes and hypertensive disorders of pregnancy with that in pregnancies affected by neither disorder using generalized estimating equations (covariates: maternal age, nulliparity, body mass index, insurance type, race, marital status, and prenatal care site). Secondary outcomes were large for gestational age birthweight, small for gestational age birthweight, and a neonatal morbidity composite outcome (stillbirth, hypoglycemia, hyperbilirubinemia, respiratory distress, encephalopathy, preterm delivery, neonatal death, and neonatal intensive care unit admission). RESULTS The median (interquartile range) birthweight percentile in pregnancies with both gestational diabetes and hypertensive disorders of pregnancy (50 [24.0-78.0]; N=179) was similar to that of unaffected pregnancies (50 [27.0-73.0]; N=35,833). However, the absolute rate of appropriate for gestational age birthweight was lower for gestational diabetes/hypertensive disorders of pregnancy co-occurrence (78.2% vs 84.9% for unaffected pregnancies). Adjusted analyses showed decreased odds of appropriate for gestational age birthweight in pregnancies with both gestational diabetes and hypertensive disorders of pregnancy compared with unaffected pregnancies (adjusted odds ratio, 0.72 [95% confidence interval, 0.52-1.00]; P=.049), and in pregnancies complicated by gestational diabetes alone (adjusted odds ratio, 0.78 [0.68-0.89]; P<.001) or hypertensive disorders of pregnancy alone (adjusted odds ratio, 0.73 [0.66-0.81]; P<.001). The absolute risk of large for gestational age birthweight was greater in pregnancies with both gestational diabetes and hypertensive disorders of pregnancy (14.5%) than in unaffected pregnancies (8.2%), without apparent difference in the risk of small for gestational age birthweight (7.3% vs 6.9%). However, in adjusted models comparing pregnancies with gestational diabetes/hypertensive disorders of pregnancy co-occurrence with unaffected pregnancies, neither an association with large for gestational age birthweight (adjusted odds ratio, 1.33 [0.88-2.00]; P=.171) nor small for gestational age birthweight (adjusted odds ratio, 1.32 [0.80-2.19]; P=.293) reached statistical significance. Gestational diabetes/hypertensive disorders of pregnancy co-occurrence carried an increased risk of neonatal morbidity that was greater than that observed with either condition alone (gestational diabetes/hypertensive disorders of pregnancy: adjusted odds ratio, 3.13 [2.35-4.17]; P<.001; gestational diabetes alone: adjusted odds ratio, 2.01 [1.78-2.27]; P<.001; hypertensive disorders of pregnancy alone: adjusted odds ratio, 1.38 [1.26-1.50]; P<.001). CONCLUSION Although pregnancies with both gestational diabetes and hypertensive disorders of pregnancy have a similar median birthweight percentile to those affected by neither condition, pregnancies concurrently affected by both conditions have a higher risk of abnormal fetal growth and neonatal morbidity.
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Affiliation(s)
- Chioma Onuoha
- School of Medicine, University of California, San Francisco, San Francisco, CA
| | | | - Tanayott Thaweethai
- Biostatistics Center, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Sarah Hsu
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA
| | - Deepti Pant
- Biostatistics Center, Massachusetts General Hospital, Boston, MA
| | - Kaitlyn E James
- Harvard Medical School, Boston, MA; Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sarbattama Sen
- Harvard Medical School, Boston, MA; Department of Pediatrics, Brigham and Women's Hospital, Boston, MA
| | - Anjali Kaimal
- Department of Obstetrics and Gynecology, University of South Florida Morsani College of Medicine, Tampa, FL
| | - Camille E Powe
- Harvard Medical School, Boston, MA; Broad Institute, Cambridge, MA; Diabetes Unit, Endocrinology Division, Massachusetts General Hospital, Boston, MA.
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Thaweethai T, Jolley SE, Karlson EW, Levitan EB, Levy B, McComsey GA, McCorkell L, Nadkarni GN, Parthasarathy S, Singh U, Walker TA, Selvaggi CA, Shinnick DJ, Schulte CCM, Atchley-Challenner R, Alba GA, Alicic R, Altman N, Anglin K, Argueta U, Ashktorab H, Baslet G, Bassett IV, Bateman L, Bedi B, Bhattacharyya S, Bind MA, Blomkalns AL, Bonilla H, Bush PA, Castro M, Chan J, Charney AW, Chen P, Chibnik LB, Chu HY, Clifton RG, Costantine MM, Cribbs SK, Davila Nieves SI, Deeks SG, Duven A, Emery IF, Erdmann N, Erlandson KM, Ernst KC, Farah-Abraham R, Farner CE, Feuerriegel EM, Fleurimont J, Fonseca V, Franko N, Gainer V, Gander JC, Gardner EM, Geng LN, Gibson KS, Go M, Goldman JD, Grebe H, Greenway FL, Habli M, Hafner J, Han JE, Hanson KA, Heath J, Hernandez C, Hess R, Hodder SL, Hoffman MK, Hoover SE, Huang B, Hughes BL, Jagannathan P, John J, Jordan MR, Katz SD, Kaufman ES, Kelly JD, Kelly SW, Kemp MM, Kirwan JP, Klein JD, Knox KS, Krishnan JA, Kumar A, Laiyemo AO, Lambert AA, Lanca M, Lee-Iannotti JK, Logarbo BP, Longo MT, Luciano CA, Lutrick K, Maley JH, Marathe JG, Marconi V, Marshall GD, Martin CF, Matusov Y, Mehari A, Mendez-Figueroa H, Mermelstein R, Metz TD, Morse R, Mosier J, Mouchati C, Mullington J, Murphy SN, Neuman RB, Nikolich JZ, Ofotokun I, Ojemakinde E, Palatnik A, Palomares K, Parimon T, Parry S, Patterson JE, Patterson TF, Patzer RE, Peluso MJ, Pemu P, Pettker CM, Plunkett BA, Pogreba-Brown K, Poppas A, Quigley JG, Reddy U, Reece R, Reeder H, Reeves WB, Reiman EM, Rischard F, Rosand J, Rouse DJ, Ruff A, Saade G, Sandoval GJ, Schlater SM, Shepherd F, Sherif ZA, Simhan H, Singer NG, Skupski DW, Sowles A, Sparks JA, Sukhera FI, Taylor BS, Teunis L, Thomas RJ, Thorp JM, Thuluvath P, Ticotsky A, Tita AT, Tuttle KR, Urdaneta AE, Valdivieso D, VanWagoner TM, Vasey A, Verduzco-Gutierrez M, Wallace ZS, Ward HD, Warren DE, Weiner SJ, Welch S, Whiteheart SW, Wiley Z, Wisnivesky JP, Yee LM, Zisis S, Horwitz LI, Foulkes AS. Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection. JAMA 2023; 329:1934-1946. [PMID: 37278994 PMCID: PMC10214179 DOI: 10.1001/jama.2023.8823] [Citation(s) in RCA: 152] [Impact Index Per Article: 152.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/01/2023] [Indexed: 06/07/2023]
Abstract
Importance SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals. Objective To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections. Design, Setting, and Participants Prospective observational cohort study of adults with and without SARS-CoV-2 infection at 85 enrolling sites (hospitals, health centers, community organizations) located in 33 states plus Washington, DC, and Puerto Rico. Participants who were enrolled in the RECOVER adult cohort before April 10, 2023, completed a symptom survey 6 months or more after acute symptom onset or test date. Selection included population-based, volunteer, and convenience sampling. Exposure SARS-CoV-2 infection. Main Outcomes and Measures PASC and 44 participant-reported symptoms (with severity thresholds). Results A total of 9764 participants (89% SARS-CoV-2 infected; 71% female; 16% Hispanic/Latino; 15% non-Hispanic Black; median age, 47 years [IQR, 35-60]) met selection criteria. Adjusted odds ratios were 1.5 or greater (infected vs uninfected participants) for 37 symptoms. Symptoms contributing to PASC score included postexertional malaise, fatigue, brain fog, dizziness, gastrointestinal symptoms, palpitations, changes in sexual desire or capacity, loss of or change in smell or taste, thirst, chronic cough, chest pain, and abnormal movements. Among 2231 participants first infected on or after December 1, 2021, and enrolled within 30 days of infection, 224 (10% [95% CI, 8.8%-11%]) were PASC positive at 6 months. Conclusions and Relevance A definition of PASC was developed based on symptoms in a prospective cohort study. As a first step to providing a framework for other investigations, iterative refinement that further incorporates other clinical features is needed to support actionable definitions of PASC.
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Affiliation(s)
- Tanayott Thaweethai
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | | | | | | | - Bruce Levy
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Lisa McCorkell
- Patient-Led Research Collaborative, Calabasas, California
| | | | | | - Upinder Singh
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mario Castro
- University of Kansas Medical Center, Kansas City
| | | | | | - Peter Chen
- Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Helen Y Chu
- University of Washington School of Medicine, Seattle
| | | | | | | | | | | | | | | | | | | | | | | | - Cheryl E Farner
- The University of Texas Health Science Center at San Antonio
| | | | | | - Vivian Fonseca
- Tulane University Health Sciences Center, New Orleans, Louisiana
| | | | | | | | | | | | | | - Minjoung Go
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | - John Hafner
- University of Illinois Chicago College of Medicine
| | - Jenny E Han
- Emory University School of Medicine, Atlanta, Georgia
| | | | - James Heath
- Institute for Systems Biology, Seattle, Washington
| | | | - Rachel Hess
- University of Utah Schools of the Health Sciences, Salt Lake City
| | - Sally L Hodder
- West Virginia Clinical and Translational Science Institute, Morgantown
| | | | | | | | | | | | - Janice John
- Cambridge Health Alliance, Cambridge, Massachusetts
| | | | - Stuart D Katz
- New York University Grossman School of Medicine, New York
| | | | | | - Sara W Kelly
- University of Illinois College of Medicine at Peoria
| | | | - John P Kirwan
- Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | | | | | - Jerry A Krishnan
- University of Illinois Hospital and Health Sciences System, Chicago
| | - Andre Kumar
- Stanford University School of Medicine, Stanford, California
| | | | | | | | | | | | | | | | | | - Jason H Maley
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | | | | | | | - Yuri Matusov
- Cedars-Sinai Medical Center, Los Angeles, California
| | - Alem Mehari
- Howard University College of Medicine, Washington, DC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jan E Patterson
- The University of Texas Health Science Center at San Antonio
| | | | | | | | | | | | - Beth A Plunkett
- Harvard Medical School, Boston, Massachusetts
- NorthShore University HealthSystem, Evanston, Illinois
| | | | - Athena Poppas
- Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | | | - Uma Reddy
- Columbia University Irving Medical Center, New York, New York
| | - Rebecca Reece
- West Virginia University School of Medicine, Morgantown
| | | | - W B Reeves
- Department of Medicine, The University of Texas Health Science Center at San Antonio
| | | | | | | | | | - Adam Ruff
- The University of Kansas Medical Center, Kansas City
| | | | - Grecio J Sandoval
- Milken Institute of Public Health, The George Washington University, Washington, DC
| | | | | | - Zaki A Sherif
- Howard University College of Medicine, Washington, DC
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Steven J Weiner
- The George Washington University Biostatistics Center, Rockville, Maryland
| | | | | | | | | | - Lynn M Yee
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | | | | | - Andrea S Foulkes
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
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