| Literature DB >> 33843161 |
Wei-Ling Xiang1,2, Jing-Jing Cheng1,2, Lian-Peng Wu3, Bing-Yu Chen1,2, Wen-Xin Li4, Dan-Ying Qiu2, Wei Zhang2, Fei-Hang Ge2, Dong Chen3,2, Zhen Wang1,2.
Abstract
Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which first affected humans in China on December 31, 2019 (Shi et al., 2020). Coronaviruses generally cause mild, self-limiting upper respiratory tract infections in humans, such as the common cold, pneumonia, and gastroenteritis (To et al., 2013; Berry et al., 2015; Chan et al., 2015). According to the Report of the World Health Organization (WHO)-China Joint Mission on COVID-19 (WHO, 2020), the case fatality rate of COVID-19 increases with age, while the rate among males is higher than that among females (4.7% and 2.8%, respectively). Since an effective vaccine and specific anti-viral drugs are still under development, passive immunization using the convalescent plasma (CP) of recovered COVID-19 donors may offer a suitable therapeutic strategy for severely ill patients in the meantime. So far, several studies have shown therapeutic efficacy of CP transfusion in treating COVID-19 cases. A pilot study first reported that transfusion of CP with neutralizing antibody titers above 1:640 was well tolerated and could potentially improve clinical outcomes through neutralizing viremia in severe COVID-19 cases (Chen et al., 2020). Immunoglobulin G (IgG) and IgM are the most abundant and important antibodies in protecting the human body from viral attack (Arabi et al., 2015; Marano et al., 2016). Our study aimed to understand the aspects of plasma antibody titer levels in convalescent patients, as well as assessing the clinical characteristics of normal, severely ill, and critically ill patients, and thus provide a basis for guiding CP therapy. We also hoped to find indicators which could serve as a reference in predicting the progression of the disease.Entities:
Keywords: Coronavirus disease 2019 (COVID-19); Convalescent plasma; Clinical characteristics; Antibody titer
Mesh:
Substances:
Year: 2020 PMID: 33843161 PMCID: PMC7759456 DOI: 10.1631/jzus.B2000593
Source DB: PubMed Journal: J Zhejiang Univ Sci B ISSN: 1673-1581 Impact factor: 3.066
Antibody titer levels from COVID-19 patients’ plasma (discontinuous) in different stages of disease progress in Wenzhou Central Hospital of Zhejiang Province (n=139)
| Titer level | IgG-positive case (within 4 weeks after symptom onset) | IgG-positive case (within 4–6 weeks after symptom onset) | IgG-positive case (more than 6 weeks after symptom onset) |
| 80 | 20 | 8 | 3 |
| 160 | 21 | 22 | 10 |
| 320 | 13 | 16 | 17 |
| 640 | 1 | 4 | 4 |
Fig. 1Plasma antibody titer levels of consecutive convalescent plasma from convalescent patients at Wenzhou Central Hospital of Zhejiang Province (n=4)
Epidemiology and clinical characteristics of severely and critically ill COVID-19 patients at Wenzhou Central Hospital of Zhejiang Province
| Characteristics | Total ( | Severe disease ( | Critical illness ( |
| Epidemiological data | |||
| Male patient | 11 (84.6%) | 9 (100.0%) | 2 (50.0%) |
| Female patient | 2 (15.4%) | 0 (0%) | 2 (50.0%) |
| Age (year) | 56.4 (37.0–77.0) | 57.7 (46.0–77.0) | 54.5 (37.0–71.0) |
| History of exposure to the epidemic area | 9 (69.2%) | 6 (66.7%) | 3 (75.0%) |
| History of contact with an infected patient | 2 (15.4%) | 2 (22.2%) | 0 (0%) |
| No obvious history of contact with an infected patient | 2 (15.4%) | 1 (11.1%) | 1 (25.0%) |
| Days to diagnosis (d) | 6.5 (3.0–17.0) | 9.4 (3.0–17.0) | 5.3 (3.0–7.0) |
| Fever | 12 (92.3%) | 8 (88.9%) | 4 (100.0%) |
| Fatigue | 8 (61.5%) | 7 (77.8%) | 1 (25.0%) |
| Cough | 11 (84.6%) | 7 (77.8%) | 4 (100.0%) |
| Chest distress | 1 (7.6%) | 0 (0%) | 1 (25.0%) |
| Dyspnea | 8 (61.5%) | 4 (44.4%) | 4 (100.0%) |
| Diarrhea | 7 (53.8%) | 5 (55.6%) | 2 (50.0%) |
| Nausea and vomiting | 7 (53.8%) | 5 (55.6%) | 2 (50.0%) |
| Laboratory test (reference value) | |||
| White blood cell (×109 L−1) (4–10) | 4.5 (2.4–8.8) | 4.3 (2.4–8.8) | 5.0 (3.8–7.6) |
| Decreased white blood cell | 8 (61.5%) | 6 (66.7%) | 2 (50.0%) |
| Leukomonocyte (×109 L−1) (1.1–3.2) | 0.7 (0.1–1.0) | 0.6 (0.3–1.0) | 0.5 (0.1–0.8) |
| Decreased leukomonocyte | 12 (92.3%) | 8 (88.9%) | 4 (100.0%) |
| Creatine kinase (U/L) (55–170) | 359.4 (31.0–1933.0) | 229.4 (31.0–273.7) | 603.3 (80.0–1933.0) |
| Increased creatine kinase | 8 (61.5%) | 6 (66.7%) | 2 (50.0%) |
| C-reactive protein (mg/L) (<8) | 47.2 (22.8–101.9) | 43.4 (22.8–96.2) | 55.87 (36.6–101.9) |
| Increased C-reactive protein | 13 (100%) | 9 (100.0%) | 4 (100.0%) |
| Lactic dehydrogenase (U/L) (114–240) | 298.1 (196.0–457.0) | 265.0 (196.0–384.0) | 372.8 (295.0–457.0) |
| Increased lactic dehydrogenase | 11 (84.6%) | 7 (77.8%) | 4 (100.0%) |
| Potassium (mol/L) (3.5–5.5) | 3.42 (2.76–4.39) | 3.58 (3.40–4.39) | 3.06 (2.76–3.76) |
| Decreased potassium | 8 (61.5%) | 5 (55.6%) | 3 (75.0%) |
| Serum calcium (mol/L) (2.05–2.60) | 1.80 (0.93–2.29) | 1.70 (0.93–2.29) | 2.03 (1.98–2.08) |
| Decreased serum calcium | 8 (61.5%) | 6 (66.7%) | 2 (50.0%) |
| Oxygen/respiratory support | |||
| Nasal catheter for oxygen | 11 (84.6%) | 8 (88.9%) | 3 (75.0%) |
| Mask oxygen | 4 (30.7%) | 0 (0%) | 4 (100.0%) |
| Noninvasive ventilator support | 4 (30.7%) | 0 (0%) | 4 (100.0%) |
| Invasive ventilator support | 0 (0%) | 0 (0%) | 0 (0%) |
Data are expressed as number (percentage) or average (range)