| Literature DB >> 33476817 |
Zhao-Wei Gao1, Hui-Zhong Zhang1, Chong Liu1, Ke Dong2.
Abstract
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Year: 2021 PMID: 33476817 PMCID: PMC7813482 DOI: 10.1016/j.autrev.2021.102754
Source DB: PubMed Journal: Autoimmun Rev ISSN: 1568-9972 Impact factor: 9.754
The information of ANAs data in COVID-19 patients from different cohorts.
| Male/Female | Age range | Hospital / Country | Positive rate | Patients type |
|---|---|---|---|---|
| 12/8 | 42–85 | Huangshi Central Hospital, Hubei / China | 50% | critical ill COVID-19 patients |
| 21/8 | 43–85 | Evangelismos Hospital, Athens /Greece | 34.5% | severely ill covid-19 patients |
| 17/16 | 22–90 | Azienda Ospedaliero-Universitaria Bologna / Italia | 33.3% | consecutive patients with COVID-19 |
The information of aPL data in COVID-19 patients from different cohorts.
| Male/Female | Age range | positive rate of aPL and its subtypes | Patients type |
|---|---|---|---|
| 10/9 | 36–80 | aPL: 52.6%; LA: 5.3%; aCL: IgA 31.6%; IgG 10.5%; IgM:5.3% | Critically ill COVID-19 [7] |
| Total: 56 | Not provided | aPL: 48.2%; LA: 45%; aCL or aβ2GPI: 10% | COVID-19 patients [ |
| 24/11 | 19–83 | LA: 91% | COVID-19 patients with a prolonged aPTT (≥30s) [ |
| 97/75 | 25–95 | aPL:52%; aPS/PT: IgG: 24%; IgM 18%; aCL: IgG 4.7%; IgM 23%; IgA 3.5% | COVID-19 patients [ |
| 60/62 | Age (mean ± SD): 54.3 ± 19.3 | aPL: 43.4%; LA: 22.2%; aCL: IgG 13.4%; IgM 2.7%; IgA 1.7% | 53 hospitalised and 69 home-quarantined patients [ |
| 9/12 | 54–67 | aPL: 57.1%; aPS: IgG 0; IgM 0; aCL: IgG 9.5%; IgM 14.3% | severe or critical COVID-19 [12] |
| 34/34 | LA negative 50.45 ± 20.19; LA positive: 64.77 ± 13.84 | LA: 44.1%; aCL: IgG 0; IgM 1.6% | COVID-19 patients [ |
| 21/8 | 43–85 | aPL: 55.2%; aCL: IgG 24.1%; IgM 10.3%; aβ2GPI: IgG 17.2%; IgM 27.6% | severely ill covid-19 patients [ |
| 17/16 | 22–90 | aPL: 24.2%; aCL: IgG 9.1%; IgM 15.2%; aβ2GPI: IgG 6.1%; IgM 6.1% | consecutive COVID-19 patients [ |