Le Rôle De Lymphopénie Comme Marqueur Pronostique Dans La COVID-19

dc.contributor.authorAllaoui Radia
dc.contributor.authorBoudouaour Sara
dc.contributor.authorYahiaoui Loubna
dc.contributor.authorEncadreur: Chorfi .K
dc.date.accessioned2024-07-19T21:23:24Z
dc.date.available2024-07-19T21:23:24Z
dc.date.issued2023-06-19
dc.description.abstractAbstract: Since the current outbreak of the COVID-19, several studies have determined a correlation with the disease severity and lymphopenia, a condition defined by abnormally low counts of lymphocytes. However, in the elderly, where there is a higher mortality rate, lymphopenia occurs more frequently, especially in severe cases. In this study, we investigated whether lymphopenia at admission predicts clinical outcomes of COVID-19. A retrospective chart review was performed on 122 laboratory-confirmed COVID-19 patients admitted to hospital. Of those, 79 patients (64. 75%) were men, while 43 (35. 25%) were women. The age distribution of these 122 patients shows that 40.16% of all patients (49 cases) were in the 60-79 age bracket. 87 patients (71. 31%) had lymphopenia (absolute lymphocyte count < 0. 8 × 109 cells) on admission. The age distribution of lymphopenia shows that patients between the ages of 60 and 79 years are most affected, as are patients over 80 years of age. Of the 87 patients diagnosed with lymphopenia, 20 patients (22. 98%) died. The rate of death with lymphopenia is higher in males 80% (16 patients) than in females with 20% (04 patients). There is an excess male mortality associated with underlying disorders and severe comorbidities. The most common comorbidities are diabetes and high blood pressure, followed by heart and kidney failure. In conclusion, lymphopenia is a useful measure for predicting outcomes in hospitalized COVID-19 patients.
dc.identifier.other579/199-MB PDF
dc.identifier.urihttp://dspace.univ-khenchela.dz:4000/handle/123456789/6143
dc.language.isofr
dc.publisherUniversité Abbes Laghrour -Khenchela-
dc.titleLe Rôle De Lymphopénie Comme Marqueur Pronostique Dans La COVID-19
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
579-199-MB.pdf
Size:
4.64 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Collections