| Literature DB >> 34138909 |
Winters Muttamba1, John Lusiba2,3, Loryndah Olive Namakula1, Pauline Byakika-Kibwika4, Francis Ssali5, Henry Ddungu6, Levicatus Mugenyi1, Noah Kiwanuka7, Rogers Sekibira1, Cissy Kityo5, Dorothy Keyune8, Susan Acana8, Ambrose Musinguzi2, Ayub Masasi9, Joseph Byamugisha4, David Mpanju4, Walter Jack Musoki4, Hellen Aanyu Tukamuhebwa9, Fred Nakwagala9, Bernard Sentalo Bagaya10, Alex Kayongo1, Ivan Kimuli1, Rebecca Nantanda1, Winceslaus Katagira1, Esther Buregyeya7, Rosemary Byanyima9, Baterana Byarugaba9, Trishul Siddharthan11, Henry Mwebesa12, Olaro Charles12, Moses Lutaakome Joloba10, William Bazeyo13, Bruce Kirenga1,4.
Abstract
INTRODUCTION: Evidence that supports the use of COVID-19 convalescent plasma (CCP) for treatment of COVID-19 is increasingly emerging. However, very few African countries have undertaken the collection and processing of CCP. The aim of this study was to assess the feasibility of collecting and processing of CCP, in preparation for a randomized clinical trial of CCP for treatment of COVID-19 in Uganda.Entities:
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Year: 2021 PMID: 34138909 PMCID: PMC8211202 DOI: 10.1371/journal.pone.0252306
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow diagram for screening process.
Characteristics of the donors (N = 162).
| Variable | n | % |
|---|---|---|
| Median 30 years (IQR: 25–36) | ||
| 18–25 | 45 | 27.8 |
| 26–35 | 73 | 45.1 |
| 36–45 | 34 | 21.0 |
| 46–55 | 8 | 5.0 |
| 56–65 | 2 | 1.2 |
| Male | 156 | 96.3 |
| Female | 6 | 3.7 |
| None | 1 | 0.6 |
| Primary | 33 | 20.4 |
| Secondary | 104 | 64.2 |
| Tertiary | 22 | 13.6 |
| Other/missing | 2 | 1.2 |
| Married | 95 | 58.64 |
| Separated | 6 | 3.70 |
| Single | 59 | 36.42 |
| Missing | 2 | 1.23 |
| National referral hospital (Mulago) | 70 | 43.2 |
| Regional referral hospitals | 92 | 56.8 |
| <100 | 65 | 40.4 |
| 101–200 | 26 | 16.1 |
| 201–300 | 45 | 28.1 |
| 301–400 | 17 | 10.6 |
| >400 | 8 | 5.0 |
| Had ever donated | 59 | 36.4 |
| Had never donated | 103 | 63.6 |
Fig 2Antibody titers (AU/mL) classified by age group, gender and region of residence of donors.
It is noted in Fig 2 that age greater than 46 years and female gender were associated with higher titers though this was not statistically significant.
Fig 3Antibody titers (AU/mL) by days since positive COVID-19 test or admission.
It is noted in Fig 3 that there is a correlation between antibody titers and days since diagnosis. Higher antibody titers are noted after around day 28.
Summary of samples processed and bio banked.
| Sample name | No. of participants | Vials per patient | Number of vials |
|---|---|---|---|
| Plasma | 162 | 4 | 545 |
| Serum | 52 | 2 | 104 |
| PBMC | 162 | 4 | 648 |