| Literature DB >> 33909684 |
Emily S Lau1,2, Jenna N McNeill1,3, Samantha M Paniagua1, Elizabeth E Liu1, Jessica K Wang1, Ingrid V Bassett4,5, Caitlin A Selvaggi6, Steven A Lubitz3, Andrea S Foulkes6, Jennifer E Ho1,2.
Abstract
BACKGROUND: Men are at higher risk for serious complications related to COVID-19 infection than women. More robust immune activation in women has been proposed to contribute to decreased disease severity, although systemic inflammation has been associated with worse outcomes in COVID-19 infection. Whether systemic inflammation contributes to sex differences in COVID-19 infection is not known. STUDY DESIGN AND METHODS: We examined sex differences in inflammatory markers among 453 men (mean age 61) and 328 women (mean age 62) hospitalized with COVID-19 infection at the Massachusetts General Hospital from March 8 to April 27, 2020. Multivariable linear regression models were used to examine the association of sex with initial and peak inflammatory markers. Exploratory analyses examined the association of sex and inflammatory markers with 28-day clinical outcomes using multivariable logistic regression.Entities:
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Year: 2021 PMID: 33909684 PMCID: PMC8081177 DOI: 10.1371/journal.pone.0250774
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics, inflammatory markers, and outcomes in men and women with COVID-19 infection.
| Men (N = 453) | Women (N = 328) | |||
|---|---|---|---|---|
| 61 (17) | 62 (18) | |||
| 179 (41%) | 136 (42%) | |||
| 159 (36%) | 120 (37%) | |||
| 30.5 (11.2) | 30.8 (7.3) | |||
| 118 (26%) | 67 (20%) | |||
| 168 (37%) | 115 (35%) | |||
| 238 (53%) | 178 (54%) | |||
| 137 (30%) | 108 (33%) | |||
| 53 (12%) | 37 (11%) | |||
| 51 (11%) | 55 (17%) | |||
| 29 (6%) | 22 (7%) | |||
| 32 (7%) | 44 (14%) | |||
| 95 (21%) | 42 (13%) | |||
| 39 (9%) | 33 (10%) | |||
| 47 (10%) | 13 (4%) | |||
| 178 (39%) | 79 (24%) | |||
| 29 (6%) | 25 (8%) | |||
| 96 (21%) | 77 (24%) | |||
| 214 (47%) | 130 (40%) | |||
| 71 (16%) | 53 (16%) | |||
| 4 (1%) | 2 (1%) | |||
| 5 (1%) | 4 (1%) | |||
| 231 (51%) | 127 (39%) | |||
| 207 (46%) | 136 (42%) | |||
| 76 (38–145) | 145 (74–263) | 59 (27–136) | 125 (54–211) | |
| 35 (21–57) | 59 (32–110) | 40 (27–59) | 54 (35–91) | |
| 0.16 (0.10–0.31) | 0.18 (0.10–0.53) | 0.12 (0.08–0.22) | 0.13 (0.08–0.28) | |
| 631 (360–1230) | 1027 (546–2142) | 413 (224–675) | 562 (306–1049) | |
| 921 (608–1683) | 1749 (897–3944) | 1063 (676–1760) | 1587 (848–3174) | |
| 37 (16–88) | 40 (17–95) | 24 (10–56) | 25 (11–58) | |
| 435 (97%) | 319 (98%) | |||
| 5.4 (6.1) | 5.5 (6.8) | |||
| 73 (16%) | 43 (13%) | |||
| 152 (34%) | 90 (28%) | |||
| 179 (40%) | 115 (35%) | |||
Values are means (standard deviations) or medians (inter-quartile ranges) unless otherwise noted.
* for p<0.05 and
† for p<0.001. Abbreviations: ACE inhibitors = angiotensin converting enzyme inhibitors, BMI = body mass index, IVIg = intravenous immunoglobulin, NSAIDs = non-steroid anti-inflammatory drugs. Biomarker data were available for 665 participants.
Sex as a predictor of initial and peak inflammatory markers.
| Inflammatory Marker | Initial | Peak | ||||
|---|---|---|---|---|---|---|
| ߆ | SE | p-value | ߆ | SE | p-value | |
| CRP, mg/L | 0.29 | 0.07 | 0.0001 | 0.31 | 0.07 | <0.0001 |
| ESR, mm/h | -0.20 | 0.08 | 0.01 | 0.05 | 0.08 | 0.54 |
| Procalcitonin, ng/mL | 0.12 | 0.08 | 0.11 | 0.19 | 0.08 | 0.01 |
| D-dimer, ng/mL | -0.04 | 0.07 | 0.58 | 0.13 | 0.07 | 0.07 |
| IL-6, pg/mL | 0.36 | 0.13 | 0.005 | 0.35 | 0.13 | 0.007 |
| Ferritin, ug/L | 0.43 | 0.07 | <0.0001 | 0.55 | 0.07 | <0.0001 |
†ß-coefficient: regression coefficients represent difference between men and women (referent) for continuous log-transformed variables. Multivariable model for adjusts for age, body mass index, cardiovascular disease, hypertension, type 2 diabetes, liver disease, kidney disease, pulmonary disease, smoking status, non-steroidal anti-inflammatory drug use, statins, and immunosuppressants. Abbreviations: ESR = erythrocyte sedimentation rate, CRP = C-reactive protein, IL-6 = interleukin-6, SE = standard error.