• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Infect Dis Poverty . Abnormal immunity of non-survivors with COVID-19: predictors for mortality

tetano

Editor, Senior Moderator
Infect Dis Poverty


. 2020 Aug 3;9(1):108.
doi: 10.1186/s40249-020-00723-1.
Abnormal immunity of non-survivors with COVID-19: predictors for mortality


Yang Zhao[SUP] 1 [/SUP], Han-Xiang Nie[SUP] 2 [/SUP], Ke Hu[SUP] 2 [/SUP], Xiao-Jun Wu[SUP] 2 [/SUP], Yun-Ting Zhang[SUP] 2 [/SUP], Meng-Mei Wang[SUP] 2 [/SUP], Tao Wang[SUP] 2 [/SUP], Zhi-Shui Zheng[SUP] 2 [/SUP], Xiao-Chen Li[SUP] 2 [/SUP], Shao-Lin Zeng[SUP] 2 [/SUP]



Affiliations

Abstract

Background: The number of coronavirus disease 2019 (COVID-19) cases has rapidly increased all over the world. Specific information about immunity in non-survivors with COVID-19 is scarce. This study aimed to analyse the clinical characteristics and abnormal immunity of the confirmed COVID-19 non-survivors.
Methods: In this single-centered, retrospective, observational study, we enrolled 125 patients with COVID-19 who were died between January 13 and March 4, 2020 in Renmin Hospital of Wuhan University. A total of 414 randomly recruited patients with confirmed COVID-19 who were discharged from the same hospital during the same period served as control. The demographic, clinical characteristics and laboratory findings at admission, and treatment used in these patients were collected. The immunity-related risk factors associated with in-hospital death were tested by logistic regression models and Receiver Operating Characteristic (ROC) curve.
Results: Non-survivors (70 years, IQR: 61.5-80) were significantly older than survivors (54 years, IQR: 37-65) (P < 0.001). 56.8% of non-survivors was male. Nearly half of the patients (44.9%) had chronic medical illness. In non-survivors, hypertension (49.6%) was the most common comorbidity, followed by diabetes (20.0%) and coronary heart disease (16.0%). The common signs and symptoms at admission of non-survivors were fever (88%), followed by cough (64.8%), dyspnea (62.4%), fatigue (62.4%) and chest tightness (58.4%). Compared with survivors, non-survivors had higher white blood cell (WBC) count (7.85 vs 5.07 ? 10[SUP]9[/SUP]/L), more elevated neutrophil count (6.41 vs 3.08 ? 10[SUP]9[/SUP]/L), smaller lymphocyte count (0.69 vs 1.20 ? 10[SUP]9[/SUP]/L) and lower platelet count (172 vs 211 ? 10[SUP]9[/SUP]/L), raised concentrations of procalcitonin (0.21 vs 0.06 ng/mL) and CRP (70.5 vs 7.2 mg/L) (P < 0.001). This was accompanied with significantly decreased levels of CD3[SUP]+[/SUP] T cells (277 vs 814 cells/μl), CD4[SUP]+[/SUP] T cells (172 vs 473 cells/μl), CD8[SUP]+[/SUP] T cells (84 vs 262.5 cells/μl, P < 0.001), CD19[SUP]+[/SUP] T cells (88 vs 141 cells/μl) and CD16[SUP]+[/SUP] 56[SUP]+[/SUP] T cells (79 vs 128.5 cells/μl) (P < 0.001). The concentrations of immunoglobulins (Ig) G (13.30 vs 11.95 g/L), IgA (2.54 vs 2.21 g/L), and IgE (71.30 vs 42.25 IU/ml) were increased, whereas the levels of complement proteins (C)3 (0.89 vs 0.99 g/L) and C4 (0.22 vs 0.24 g/L) were decreased in non-survivors when compared with survivors (all P < 0.05). The non-survivors presented lower levels of oximetry saturation (90 vs 97%) at rest and lactate (2.40 vs 1.90 mmol/L) (P < 0.001). Old age, comorbidity of malignant tumor, neutrophilia, lymphocytopenia, low CD4[SUP]+[/SUP] T cells, decreased C3, and low oximetry saturation were the risk factors of death in patients with confirmed COVID-19. The frequency of CD4[SUP]+[/SUP] T cells positively correlated with the numbers of lymphocytes (r = 0.787) and the level of oximetry saturation (r = 0.295), Whereas CD4[SUP]+[/SUP] T cells were negatively correlated with age (r =-0.323) and the numbers of neutrophils (r = - 0.244) (all P < 0.001).
Conclusions: Abnormal cellular immunity and humoral immunity were key features of non-survivors with COVID-19. Neutrophilia, lymphocytopenia, low CD4[SUP]+[/SUP] T cells, and decreased C3 were immunity-related risk factors predicting mortality of patients with COVID-19.

Keywords: COVID-19; Cellular immunity; Humoral immunity; Mortality.
 
Back
Top Bottom