The characteristics and predictive role of lymphocyte subsets in COVID-19 patients
Objective: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. Method: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. Results: 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe disease, the time from symptom onset to hospital admission was positively correlated with total T cell counts. 3. Among COVID-19 patients who did not reach the composite endpoint, lymphocyte subset counts were higher than in patients who had reached the composite endpoint. 4. The Kaplan-Meier survival curves showed significant differences in COVID-19 patients, classified by the levels of total, CD8+, and CD4+ T cells at admission. Conclusion: Our study showed that total, CD8+, and CD4+ T cell counts in patients with COVID-19 were significantly reduced, especially in patients with severe disease. Lower T lymphocyte subsets were significantly associated with a higher occurrence of composite endpoint events. These subsets may help identify patients with a high risk of composite endpoint events..
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:99 |
|---|---|
| Enthalten in: |
International Journal of Infectious Diseases - 99(2020), Seite 92-99 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Wenjing Zhang [VerfasserIn] |
|---|
| Links: |
doi.org [kostenfrei] |
|---|
| Themen: |
Coronavirus disease 2019 |
|---|
| doi: |
10.1016/j.ijid.2020.06.079 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
DOAJ042883555 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | DOAJ042883555 | ||
| 003 | DE-627 | ||
| 005 | 20230308064752.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230227s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ijid.2020.06.079 |2 doi | |
| 035 | |a (DE-627)DOAJ042883555 | ||
| 035 | |a (DE-599)DOAJc3c459d4abef43c39c3c97efb03c6e3c | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 050 | 0 | |a RC109-216 | |
| 100 | 0 | |a Wenjing Zhang |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Objective: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. Method: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. Results: 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe disease, the time from symptom onset to hospital admission was positively correlated with total T cell counts. 3. Among COVID-19 patients who did not reach the composite endpoint, lymphocyte subset counts were higher than in patients who had reached the composite endpoint. 4. The Kaplan-Meier survival curves showed significant differences in COVID-19 patients, classified by the levels of total, CD8+, and CD4+ T cells at admission. Conclusion: Our study showed that total, CD8+, and CD4+ T cell counts in patients with COVID-19 were significantly reduced, especially in patients with severe disease. Lower T lymphocyte subsets were significantly associated with a higher occurrence of composite endpoint events. These subsets may help identify patients with a high risk of composite endpoint events. | ||
| 650 | 4 | |a Coronavirus disease 2019 | |
| 650 | 4 | |a Pneumonia | |
| 650 | 4 | |a Lymphocyte subsets | |
| 650 | 4 | |a Immune parameters | |
| 653 | 0 | |a Infectious and parasitic diseases | |
| 700 | 0 | |a Lei Li |e verfasserin |4 aut | |
| 700 | 0 | |a Jihai Liu |e verfasserin |4 aut | |
| 700 | 0 | |a Li Chen |e verfasserin |4 aut | |
| 700 | 0 | |a Fangfang Zhou |e verfasserin |4 aut | |
| 700 | 0 | |a Ting Jin |e verfasserin |4 aut | |
| 700 | 0 | |a Lin Jiang |e verfasserin |4 aut | |
| 700 | 0 | |a Xiang Li |e verfasserin |4 aut | |
| 700 | 0 | |a Ming Yang |e verfasserin |4 aut | |
| 700 | 0 | |a Hongxiang Wang |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i In |t International Journal of Infectious Diseases |d Elsevier, 2015 |g 99(2020), Seite 92-99 |w (DE-627)DOAJ000043923 |x 18783511 |7 nnns |
| 773 | 1 | 8 | |g volume:99 |g year:2020 |g pages:92-99 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ijid.2020.06.079 |z kostenfrei |
| 856 | 4 | 0 | |u https://doaj.org/article/c3c459d4abef43c39c3c97efb03c6e3c |z kostenfrei |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/article/pii/S1201971220305142 |z kostenfrei |
| 856 | 4 | 2 | |u https://doaj.org/toc/1201-9712 |y Journal toc |z kostenfrei |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_DOAJ | ||
| 951 | |a AR | ||
| 952 | |d 99 |j 2020 |h 92-99 | ||