| Literature DB >> 30359434 |
Donath Mkenda Valerian1, Wilhellmuss I Mauka2, Debora Charles Kajeguka1, Maseke Mgabo3,4, Abdu Juma5, Lelo Baliyima5, Geofrey Nimrod Sigalla3,6.
Abstract
INTRODUCTION: Blood is an important requirement in different medical and surgical conditions with half of all donations are from developing countries. Lack of eligibility among blood donors who present for blood transfusion, called blood donor deferral is associated with the unsustainable and inadequate amount of blood collected by blood banks worldwide. However, the prevalence and causes of blood donor deferrals are not well known in Tanzania where less than one-third of actual needs of blood is collected, leading to unmet demand of blood for transfusion, and causing unwanted morbidity and mortality.Entities:
Mesh:
Year: 2018 PMID: 30359434 PMCID: PMC6201946 DOI: 10.1371/journal.pone.0206487
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Tanzania NBTS TTI’s testing algorithm.
| Marker | Screening test # 1 | Screening test # 1 in Duplicate Repeat among those who test positive or are reactive in grey zone | Supplemental test # 2 among those who test positive or are reactive in grey zone |
|---|---|---|---|
| HIV | Murex HIV Ag/Ab Elisa Test | Murex HIV Ag/Ab Elisa Test | Enzygnost HIV Integral 4 Elisa Test |
| HBsAg | Murex HBsAg Version 3.0 Elisa Test | Murex HBsAg Version 3.0 Elisa Test | Enzygnost HBsAg 6.0 Elisa Test |
| HCV | Murex HCV Ag/Ab Combination Elisa Test | Murex HCV Ag/Ab Combination Elisa Test | Monolisa HCV Ag/Ab Ultra Elisa Test |
| Syphilis | Espline TP Syphilis Rapid Test | Espline TP Syphilis Rapid Test | Serodia TPPA Qualitative Test |
Demographic characteristics of participants who presented for blood donation and type of participants (n = 14377).
| Variable | Total number of blood donors | Voluntary non-remunerated donors | Family replacement donors | p-value | |||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
| Male | 11377 | 79.1 | 10013 | 88.0 | 1364 | 12.0 | <0.001 |
| Female | 3000 | 20.9 | 2762 | 92.1 | 238 | 7.9 | |
| 18–30 years | 9719 | 67.6 | 9039 | 93.0 | 680 | 7.0 | <0.001 |
| 31–45 years | 3377 | 23.5 | 2729 | 80.8 | 648 | 19.2 | |
| 46–65 years | 1281 | 8.9 | 1007 | 78.6 | 274 | 21.4 | |
| Kilimanjaro | 6671 | 46.4 | 5333 | 79.9 | 1338 | 20.1 | <0.001 |
| Arusha | 3408 | 23.7 | 3210 | 94.2 | 198 | 5.8 | |
| Manyara | 2111 | 14.7 | 2069 | 98.0 | 42 | 2.0 | |
| Tanga | 2187 | 15.2 | 2163 | 98.9 | 24 | 1.1 | |
1Results of chi-square test that show statistical difference of type of donors
Characteristics of participants who were accepted or deferred to donate blood (n = 14377).
| Variable | Participants who were accepted to donate blood | Participants who were deferred to donate blood | p-value | ||
|---|---|---|---|---|---|
| n | % | n | % | ||
| Male | 10016 | 88.0 | 1361 | 12.0 | <0.01 |
| Female | 2532 | 84.4 | 468 | 15.6 | |
| 15–30 | 8672 | 87.9 | 1047 | 12.1 | <0.01 |
| 31–45 | 2872 | 82.4 | 505 | 17.6 | |
| 46–75 | 1004 | 72.4 | 277 | 27.6 | |
| Kilimanjaro | 5979 | 89.6 | 692 | 10.4 | <0.01 |
| Arusha | 3159 | 92.7 | 249 | 7.3 | |
| Manyara | 1935 | 91.7 | 176 | 8.3 | |
| Tanga | 1942 | 88.8 | 245 | 11.2 | |
| Voluntary non remunerated | 11199 | 87.7 | 1576 | 12.3 | <0.01 |
| Replacement | 1349 | 84.2 | 253 | 15.8 | |
1Results of chi-square test that show statistical difference of donation status
Frequency distribution of temporary and permanent deferrals causes by sex (n = 1829).
| Causes | Sex | Total | |||||
|---|---|---|---|---|---|---|---|
| Male | Female | ||||||
| n | % | n | % | n | % | ||
| Low haemoglobin | 162 | 42.0 | 224 | 58.0 | 386 | 21.1 | |
| Syphilis | 149 | 87.1 | 22 | 12.9 | 171 | 9.3 | |
| On medication | 84 | 79.2 | 22 | 20.8 | 106 | 5.8 | |
| High/low blood pressure | 43 | 66.2 | 22 | 33.8 | 65 | 3.6 | |
| Risk behavior | 25 | 89.3 | 3 | 10.7 | 28 | 1.5 | |
| Infections | 32 | 65.3 | 17 | 34.7 | 49 | 2.7 | |
| Others | 25 | 56.8 | 19 | 43.2 | 44 | 2.4 | |
| Sub total | 578 | 62.4 | 349 | 37.6 | 927 | 50.7 | |
| Hepatitis B (HBV) | 489 | 90.4 | 52 | 9.6 | 541 | 29.6 | |
| HIV | 198 | 81.1 | 46 | 18.9 | 244 | 13.3 | |
| Hepatitis C (HCV) | 31 | 22.6 | 106 | 77.4 | 137 | 7.5 | |
| HIV and HBV | 0 | 0 | 15 | 100 | 15 | 0.8 | |
| HIV and HCV | 0 | 0 | 5 | 100 | 5 | 0.3 | |
| HBV and Syphilis | 0 | 0 | 11 | 100 | 11 | 0.6 | |
| HCV and Syphilis | 0 | 0 | 1 | 100 | 1 | 0.1 | |
| HIV and Syphilis | 0 | 0 | 2 | 100 | 2 | 0.1 | |
| HIV, HCV and Syphilis | 1 | 100 | 0 | 0 | 1 | 0.1 | |
| HCV and HBV | 3 | 37.5 | 5 | 62.5 | 8 | 0.4 | |
| Others | 9 | 60 | 6 | 40 | 15 | 0.8 | |
| Sub total | 783 | 86.8 | 119 | 13.2 | 902 | 49.3 | |
| 1361 | 74.4 | 468 | 25.6 | 1829 | 100 | ||
* Body piercing Tattoo, Sex with new partner, Risk behaviour, Alcoholism, Prostitution and Intravenous drug use
** Genitourinary tract infections, Parasitic infections, Malaria, Typhoid, High temperature, URTI, Gastro intestinal infections, TB contact, Sexual transmitted infections, Disease of digestive system
*** Injury or toxication, Vaccination, Menstrual period, Donor faint before donation, Major operation, Eating less than 8 hours, Pregnancy in the past 6 month, Other forms of skin cancer, Blood transfusion-Received allogenic, Breast feeding, Traditional cut, Household contact with hepatitis B, Household contact with hepatitis A, Household contact with unknown hepatitis
**** Heart or circulatory disease, Asthma chronic obstructive disease, Asthma and use steroids, Hematological malignancy, Neurological disease, Psychical disease and Epilepsy