TY  - JOUR
TI  - CD4⁺ T-Cell Depression is Linked to the Severity of COVID-19 and Predicts Mortality
AB  - Objective: Most patients with coronavirus disease (COVID-19) have abnormalities of lym- phocyte subsets. This study aimed to determine the distribution of lymphocytes in patients with various severity levels of COVID-19 and to describe the relationship between the CD4 + T helper and prognosis. Materials and Methods: Adult (>18 years old) patients with COVID-19 who followed up in a tertiary hospital were included in the study prospectively. Demographic and clinical characteristics of the patients were obtained from the hospital records. Peripheral flow cy- tometry was studied in patients with different severity of COVID-19 and different progno- ses. Next, we analyzed the characteristics and predictive values of lymphocyte subsets in COVID-19 patients. Results: Totally 86 patients were included in the study, of which 21 (24.4%) had asymp- tomatic, 23 (26.7%) had mild/moderate, and 42 (48.8%) had severe/critical COVID-19. Severe/critical patients had lower lymphocyte levels and older age than asymptomatic pa- tients (p<0.001 and p<0.001, respectively). We determined that decreased CD4 + T cell ra- tio (p<0.001) and CD4 + /CD8 + ratio (p<0.001) were indicative of the severity of the disease. CD4 + T cell ratio on admission (odds ratio [OR]=0.858; p=0.033), day seven CD4 + T cell ratio (OR=0.840; p=0.029), and C-reactive protein (CRP) levels (OR=1.014; p=0.043) were prognostic factors for mortality. According to receiver operating characteristics (ROC) curve analysis, the area under the curve was greater than 0.9 for decreased CD4 + T cell ratio on admission and the seventh day. Conclusion: A low CD4 + T helper ratio predicts a poor prognosis. In combination with CRP, it can be used in clinical follow-up.
AU  - koker, Mustafa Yavuz
AU  - hörmet öz, hatice tuna
AU  - ALTINTOP, Yasemin Ay
AU  - SAATÇİ, Esma
AU  - Kılınç Toker, Ayşin
AU  - AVCILAR, HÜSEYIN
AU  - Şimşek, Sevil
AU  - Eryilmaz-Eren, Esma
AU  - Çelik, İlhami
AU  - undefined, Aysegul
AU  - topaloglu, ulasserkan
AU  - Yüksel, Recep Civan
AU  - Bestepe Dursun, Zehra
DO  - 10.36519/idcm.2023.190
PY  - 2023
JO  - Infectious diseases and clinical microbiology (Online)
VL  - 5
IS  - 1
SN  - 2667-646X
SP  - 23
EP  - 30
DB  - TRDizin
UR  - http://search/yayin/detay/1170068
ER  -