Predictors of chronic COVID-19 symptoms in a community-based cohort of adults

被引:12
作者
Silverberg, Jonathan, I [1 ]
Zyskind, Israel [2 ,3 ]
Naiditch, Hiam [4 ]
Zimmerman, Jason [3 ]
Glatt, Aaron E. [5 ,6 ]
Pinter, Abraham [7 ]
Theel, Elitza S. [8 ]
Joyner, Michael J. [9 ]
Hill, D. Ashley [10 ]
Lieberman, Miriam R. [11 ]
Bigajer, Elliot [12 ]
Stok, Daniel [13 ]
Frank, Elliot [14 ,15 ]
Rosenberg, Avi Z. [16 ]
机构
[1] George Washington Univ, Sch Med & Hlth Sci, Dept Dermatol, Washington, DC 20052 USA
[2] NYU, Dept Pediat, Langone Med Ctr, New York, NY 10016 USA
[3] Maimonides Hosp, Brooklyn, NY 11219 USA
[4] Yale Univ, Sch Med, Dept Med, New Haven, CT 06510 USA
[5] Mt Sinai South Nassau, Dept Med, New York, NY USA
[6] Icahn Sch Med Mt Sinai, New York, NY 10029 USA
[7] Rutgers State Univ, New Jersey Med Sch, Publ Hlth Res Inst, Newark, NJ USA
[8] Mayo Clin, Div Clin Microbiol, Dept Lab Med & Pathol, Rochester, MN USA
[9] Mayo Clin, Dept Anesthesiol & Perioperat Med, Rochester, MN USA
[10] ResourcePath, Sterling, VA USA
[11] Suny Downstate Med Ctr, Dept Dermatol, New York, NY USA
[12] Brookdale Univ Hosp & Med Ctr, Dept Med, Div Gastroenterol, Brooklyn, NY USA
[13] Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA
[14] Jersey Shore Univ Med Ctr, Dept Med, Div Infect Dis, Neptune, NJ USA
[15] Hackensack Meridian Sch Med, Clifton, NJ USA
[16] Johns Hopkins Univ, Dept Pathol, Baltimore, MD 21218 USA
来源
PLOS ONE | 2022年 / 17卷 / 08期
关键词
D O I
10.1371/journal.pone.0271310
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background COVID-19 can cause some individuals to experience chronic symptoms. Rates and predictors of chronic COVID-19 symptoms are not fully elucidated. Objective To examine occurrence and patterns of post-acute sequelae of SARS-CoV2 infection (PASC) symptomatology and their relationship with demographics, acute COVID-19 symptoms and anti-SARS-CoV-2 IgG antibody responses. Methods A multi-stage observational study was performed of adults (>= 18 years) from 5 US states. Participants completed two rounds of electronic surveys (May-July 2020; April-May 2021) and underwent testing to anti-SARS-CoV-2 nucleocapsid protein IgG antibody testing. Latent Class Analysis was used to identify clusters of chronic COVID-19 symptoms. Results Overall, 390 adults (median [25%ile, 75%ile] age: 42 [31, 54] years) with positive SARSCoV-2 antibodies completed the follow-up survey; 92 (24.7%) had >1 chronic COVID-19 symptom, with 11-month median duration of persistent symptoms (range: 1-12 months). The most common chronic COVID-19 symptoms were fatigue (11.3%), change in smell (9.5%) or taste (5.6%), muscle or joint aches (5.4%) and weakness (4.6%). There were significantly higher proportions of >1 persistent COVID-19 symptom (31.5% vs. 18.6%; Chi-square, P = 0.004), and particularly fatigue (15.8% vs. 7.3%, P = 0.008) and headaches (5.4% vs. 1.0%, P = 0.011) in females compared to males. Chronic COVID-19 symptoms were also increased in individuals with >6 acute COVID-19 symptoms, Latent class analysis revealed 4 classes of symptoms. Latent class-1 (change of smell and taste) was associated with lower anti-SARS-CoV-2 antibody levels; class-2 and 3 (multiple chronic symptoms) were associated with higher anti-SARS-CoV-2 antibody levels and more severe acute COVID-19 infection. Limitations Ambulatory cohort with less severe acute disease. Conclusion Individuals with SARS-CoV-2 infection commonly experience chronic symptoms, most commonly fatigue, changes in smell or taste and muscle/joint aches. Female sex, severity of acute COVID-19 infection, and higher anti-SARS-CoV-2 IgG levels were associated with the highest risk of having chronic COVID-19 symptoms.
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页数:16
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