Clinical and Demographic Characteristics of COVID-19 patients in Lagos, Nigeria: A Descriptive Study.

INTRODUCTION: COVID-19 is an emerging, rapidly evolving global situation, infecting over 25 million people and causing more than 850,000 deaths. Several signs and symptoms have been described to be characteristic of the disease. However, there is a dearth of report on the description of the clinical characteristics of the disease in patients from Nigeria. This study was designed to provide a description of the clinical and demographic characteristics of COVID-19 patients in Nigeria. METHODS: This study is a case series that includes patients that are evaluated between May and August 2020, and diagnosed with COVID-19. Patient health records were reviewed and evaluated to describe the clinical characteristics on presentation. RESULTS: A total of 154 COVID-19 patients were included in this study, with a mean age (S.D.) of 46.16 (13.701). Most of the patients survived (mortality rate of 2.6%), and were symptomatic (89.6%). There were more males (74.7%) than females, and the most common symptoms were fever, breathing difficulty, dry cough and malaise. Co-morbidities were also present in almost half of the study participants (49.4%). CONCLUSION: This study presents the most extensive description, to date, on the clinical and demographic characteristics of COVID-19 patients in Nigeria. Males are more likely than females to be infected with COVID-19 and the most occurring symptoms are fever, breathing difficulty, malaise, dry cough and chest pain. Old age and the presence of co-morbidities may also be associated with developing the severe disease.

Performance of the Panleucogating protocol for CD4+ T cell enumeration in an HIV dedicated laboratory facility in Barbados.

OBJECTIVE: To compare the Panleucogating (PLG) protocol with the routinely used four-color protocol for CD4+ T cell count enumeration. DESIGN AND METHODS: One hundred fifty-three blood samples were randomly selected from samples received at the National HIV Laboratory for routine immunological monitoring. Samples were prepared using Coulter CYTO-STAT tetraCHROME monoclonal antibodies and FlowCARE PLG CD4 reagent for four-color and PLG, respectively, and analyzed on the Beckman Coulter EPICS XL flow cytometer. The PLG protocol used a sequential gating strategy where CD4+ T cells were identified using side scatter properties of cells and CD45 staining. The four-color protocol used CD45 and CD3 to identify CD4+ T cells. RESULTS: Absolute CD4+ T cell counts and percentages ranged from 4 to 1,285 cells/microL and 0.9 to 46.7%, respectively. Linear regression analyses revealed good correlation of PLG with the four-color protocol (absolute counts, R2 = 0.95; percentages, R2 = 0.98) over the entire range including the clinically relevant range. Bland Altman statistics revealed no bias for CD4 counts <500 cells/microL and a slight underestimation by PLG for counts >500 cells/microL (Bias = -32.7 cells/microL; 95% agreement limits = -151.3- +86.0). CD4+ T cell percentages were the similar over the entire range (Bias = 0.6%; 95% agreement limits = -1.97 +/- 3.18). CONCLUSIONS: PLG is an accurate method for enumerating CD4+ T cells and has resulted in major cost savings to the Government of Barbados. This has implications for the sustainability of the National HIV containment program in Barbados and the other resource limited Caribbean countries. The PLG technique is now being routinely used in Barbados.