| Literature DB >> 33173367 |
Hamid Ehsan1, Ahsan Wahab2, Muhammad Ammar Shafqat3, Muhammad Khawar Sana4, Farhan Khalid4, Syed Maaz Abdullah4, Ali Jaan4, Muhammad M Sheikh5, Ahmad Muneeb5, Sajid Ehsan6, Ali Younas Khan7, Raheel Iftikhar8, Faiz Anwer9.
Abstract
The blood transfusion (BT) system in Pakistan is fragmented, demand-driven and depends on weakly regulated transfusion practices. There is a considerable possibility that transfusion-transmissible infections (TTIs) are contributing to the current epidemic of hepatitis B virus (HBV) and hepatitis C virus (HCV) (affecting 7.4% of the general population) in the country. To study this issue, we conducted a systematic review to identify articles related to TTIs and transfusion safety in Pakistan from January 1, 2010 to January 31, 2020. A review of 33 articles met the final criteria for qualitative synthesis. Analysis of these studies showed a cumulative frequency of HBV 2.04%, HCV 2.44%, HIV 0.038%, syphilis 1.1% and malaria 0.11%. The frequency of coinfections among blood donors varied from 0.0099% to 0.35%. The highest number of coinfections were HCV and syphilis, followed by HCV and HBV infections. Syphilis and malaria were tested in only 38% and 46% of all the blood donations in one study. The rate of voluntary non-remunerated donations (VNRDs) was less than 13%, and male donors were 95% to 100% in these studies. There was a significant difference in the frequency of HBV and HCV in VNRDs (0.48%) as compared to replacement donors (RDs) (4.15%). In short, this review shows a high frequency of TTIs, especially HBV, HCV and syphilis in the blood donor population in Pakistan. There is a high dependency on RDs, minimal use of healthy voluntary blood donation practices, inadequate screening of high-risk donors, repeated collections of the blood from RDs, poor quality of screening methods and limited knowledge of donor health. Without standardized safe transfusion practices, there will be an ongoing increase in transmission of TTIs, especially HBV, HCV, syphilis, and HIV leading to a significant adverse public health impact.Entities:
Keywords: HIV; hepatitis B; hepatitis C; malaria; syphilis; transfusion-transmitted infections
Year: 2020 PMID: 33173367 PMCID: PMC7646486 DOI: 10.2147/JBM.S277541
Source DB: PubMed Journal: J Blood Med ISSN: 1179-2736
Figure 1PRISMA flow diagram showing a summary of selection process.
Note: Copyright © 2009, Public Library of Science. Adapted with permission from Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
Characteristics of Studies (n=33) Included in a Systematic Review
| Author, Year | Design | Duration | Age in Years (Range) | Male (%) | No. of Donors | Investigation | Diagnostic Methods |
|---|---|---|---|---|---|---|---|
| Shah et al, 2010 | Retrospective cross-sectional | Jan 2007–Dec 2008 | (18–52) | 100 | 32,042 | HBsAg, anti-HCV Abs | ELISA |
| Ansari et al, 2012 | Cross-sectional | Jan 2010–Dec 2010 | NA | NA | 5517 | HBsAg | ELISA, Bio kit, Spain |
| Anti-HCV Abs, anti-HIV Abs | ELISA kit, General Biological Cooperation, Taiwan | ||||||
| Waheed et al, 2012 | Retrospective cross-sectional | Jan 2010–Dec 2011 | NA | NA | 10,145 | Anti-HCV Abs | ELISA NANBASE C-96 3.0 |
| HBsAg | ELISA | ||||||
| Anti-HIV Abs | DIMS’s ELISA | ||||||
| Syphilis RPR | RPR IMMUTREP | ||||||
| Malarial parasite | Biotech ICT | ||||||
| Attaullah et al, 2012 | Retrospective | Jan 2008–Jun 2011 | NA | 99.96 | 127,828 | HBsAg, anti-HCV Abs, anti-HIV Abs, VDRL | ELISA BEST 2000, Biokit, Spain |
| Irfan et al, 2013 | Cross-sectional | Jan 2004–Dec 2011 | 28.9 (17–55) | 99.85 | 108,598 | HBsAg, anti-HCV Abs, anti-HIV Abs | MEIA, Axsym system, till 2011 then CIA, Architect i2000, Abbott Diagnostic, USA |
| Tunio et al, 2013 | Retrospective cross-sectional | Jan 2012–Jun 2012 | NA | NA | 2696 | Anti-HBs, HBsAg, HBeAg | MEIA, Architect, Abbott Diagnostic, USA |
| Tufail et al, 2013 | Descriptive | One year | (20–40) | NA | 1833 | HBsAg, anti-HCV Abs, anti-HIV Abs | Chemiluminescence assay |
| Sulehri et al, 2013 | Cross-sectional | 2010–2011 | NA | 78 | 600 | Anti-HCV Abs | ELISA kits, Human Diagnostics, Germany |
| Chaudhary et al, 2013 | Cross-sectional | Jan 2011–Apr 2011 | NA | 92.7 | 2155 | NA | NA |
| Ghafoor et al, 2016 | Cross-sectional | Nov 2015–Jan 2016 | (20–50) | 94.67 | 1500 | HBsAg, anti-HCV Abs, anti-HIV Abs | ICT SD BIOLINE kits |
| Anti-HIV-1, anti-HIV-2 Abs | Tri line HIV rapid test device | ||||||
| Rapid | |||||||
| Waheed et al, 2016 | Retrospective | Jan 2015–Dec 2015 | NA | NA | 65,376 | HIV, hepatitis B, hepatitis C, syphilis, malarial parasite | (n=44,538) CIA, (n=6524) ELISA, (n=14,036) NAT, (n=560) manual devices |
| Sial et al, 2016 | Observational | Jan 2011–Dec 2013 | 27.8 (17–50) | 90.4 | 29,522 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis | CIA, Architect Ci4100, Abbott Diagnostic, USA |
| Raza et al, 2016 | Cross-sectional observational | Jul 2014–Jun 2016 | 29.58 | NA | 33,595 | HBsAg, anti-HCV Abs, anti-HIV 1/2 Abs | CIA, Architect Ci2000, Abbott Diagnostic, USA |
| NAT, Cobas Taq screen MPX, Roche Molecular Diagnostics | |||||||
| Syphilis | CIA, Architect Ci2000, Abbott Diagnostic, USA | ||||||
| Malarial parasite | ICT | ||||||
| Niazi et al, 2016 | Descriptive | Jan 2010–Dec 2012 | 29 (18–60) | 98.5 | 160,552 | HBsAg, anti-HCV Abs, anti-HIV Abs | Architect i2000, Abbott Diagnostics USA |
| Anti-syphilis Abs | Rapid ICT kit, InTec Products, Inc., Xiamen | ||||||
| Nadeem et al, 2016 | Descriptive | Jun 2012–May 2013 | 33 (18–60) | 99.4 | 4662 | HBsAg, anti-HCV Abs, anti-HIV Abs | ELISA |
| Syphilis | RPR | ||||||
| Malarial parasite | Biotech Immunochromatographic (ICT) | ||||||
| Arshad et al, 2016 | Prospective | Jan 2013–Jun 2015 | 28.6 (18–55) | 99.7 | 16,602 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis | CIA, Architect Ci2000, Abbott Diagnostic, USA |
| Malarial parasite | Thick films and Immunochromatographic (ICT) | ||||||
| Memon et al, 2017 | Cross-sectional descriptive | Jan 2014–Jun 2015 | NA | NA | 4683 | HBsAg, anti-HCV Abs, anti-HIV Abs | CIA, Architect Ci2000, Abbott Diagnostic, USA |
| Syphilis | ICT device with ABON Biopharm (Hangzhou) kit | ||||||
| Malarial parasite | Thick and thin smear using Romanowsky stain | ||||||
| Zameer et al, 2017 | Descriptive | Oct 2015–Feb 2016 | (18–55) | NA | 10,048 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis, malarial parasite | ICT |
| Wadood et al, 2017 | Prospective | Jun 2015–May 2016 | NA | 97 | 536 | Anti-HCV Abs | Third-generation ELISA |
| Saeed et al, 2017 | Prospective | Dec 2014–Nov 2015 | (19–59) | 99.32 | 18,274 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis malarial parasite | ICT |
| Sultan et al, 2017 | Prospective | Feb 2015–Feb 2016 | 29.09 | 99.5 | 16,957 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis | CIA, Architect Ci2000, Abbott Diagnostic, USA |
| Rehman et al, 2018 | Cross-sectional | NA | NA | NA | 1400 | Anti-HCV Abs | ICT and MEIA and ELISA |
| Raza et al, 2018 | Cross-sectional | Aug 2014–Jul 2015 | NA | NA | 16,660 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis | CIA, Architect Ci2000, Abbott Diagnostic, USA |
| NAT, Cobas Taq screen MPX, Roche Molecular Diagnostics | |||||||
| Malarial parasite | ICT, Rapid SD, Bioline, Korea and Microscopic examination | ||||||
| Awan et al, 2018 | Cross-sectional descriptive | Jul 2015–Oct 2017 | (18–60) | NA | 30,470 | HBsAg, anti-HCV Abs, HIV 1/2 Ab/Ag | Fully automated immunoassay analyzer and triplex NAT PCR |
| CIA | |||||||
| Malarial parasite | ICT | ||||||
| Naz et al, 2018 | Cross-sectional | Jan 2013–Jul 2014 | 28.6± 2 | 99.8 | 14,652 | HBsAg, anti-HIV Abs, syphilis | CIA, Architect, Abbot |
| Anti-HCV Abs | Multisure HCV antibody assay | ||||||
| NAT, Artus RG RT-PCR kit | |||||||
| ELISA, Monolisa™ Anti-HCV Plus V2 | |||||||
| Anti-HCV-MPBIO-EIA | |||||||
| MPD HCV blot 3.0 | |||||||
| Malarial parasite | Microscopy of Leishman’s stained blood films | ||||||
| Abdullah et al, 2019 | Retrospective cross-sectional | Jan 2016–Dec 2017 | (19–60) | NA | 76,530 | HBsAg | Rapid test kits, Diagnostar |
| Rauf et al, 2019 | Retrospective | May 2018–Feb 2019 | 29 | 99.97 | 6594 | HBsAg, anti-HCV Abs, anti-HIV Abs, syphilis, malarial parasite | CIA, Roche e611 |
| Masood et al, | NA | NA | NA | NA | 8517 | HBsAg | CIA, Architect Ci2000, Abbott Diagnostic, USA |
| PCR using type‑specific primer sequence | |||||||
| Ali et al, 2010 | Prospective | NA | (15–65) | 98.4 | 1558 | Malarial parasite | Thick and thin blood smears with Giemsa stain |
| Usman et al, 2015 | Prospective | May 2008–Mar 2014 | NA | NA | 87,600 | Malarial parasite | Thick and thin blood smears with Field’s stain |
| ICT test, PL-P MAL, Humasis, Anyang, Korea | |||||||
| Ghani et al, 2015 | Retrospective | 1998–2013 | NA | NA | 626,413 | Anti-HIV Abs | MEIA, Axsym system, till 2007 then CIA, Architect i2000, Abbott Diagnostic, USA |
| Kousar et al, 2016 | Observational | Jul 2015–Dec 2015 | (17–60) | 99.9 | 6000 | Malarial parasite | ICT |
| Thick and thin blood smears with Giemsa stain | |||||||
| Zahoor et al, 2020 | Retrospective cross-sectional | Jan 2016-Dec 2017 | NA | NA | 76,530 | ICT, Nantong Egens Syphilis detection Kits |
Abbreviations: ELISA, enzyme-linked immunosorbent assay; RPR, rapid plasma regain; PCR, polymerase chain reaction; NAT, nucleic acid test; MEIA, microparticle enzyme immunoassay; NA, not available; Abs, antibodies; CIA, chemiluminescent immunoassay; ICT, immunochromatographic.
Summary of Data from Studies Reporting the Frequency of Hepatitis B and Hepatitis C Among Blood Donors
| Study | Number of Donors | Type of Donorsa | Frequency of Hep B (HBsAg) | Frequency of Hep C (Anti-HCV Antibodies) | Frequency of Hep B, Hep C Coinfection |
|---|---|---|---|---|---|
| Shah et al | 32,042 | VNRDs (100%) | 632 (1.97%) | 502 (1.57%) | NR |
| Ansari et al | 5517 | NR | 104 (1.8%) | 109 (1.9%) | NR |
| Waheed et al | 10,145 | RDs (94%) | 397 (3.91%) | 846 (8.34%) | NR |
| Attaullah et al | 1,27,828 | NR | 3432 (2.68%) | 3147 (2.46%) | NR |
| Irfan et al | 108,598 | RDs (98.8%) | 2068 (1.90%) | 2832 (2.61%) | 94 (0.084%) |
| Tunio et al | 2696 | NR | 49 (1.82%) | 93 (3.45%) | 2 (0.074%) |
| Tufail et al | 1833 | NR | 15 (0.81%) | 57 (3.1%) | NR |
| Sulehri et al | 600 | NR | NR | 0%b | NR |
| Chaudhary et al | 2155 | VNRDs (100%) | 21 (1.3%) | 77 (3.6%) | NR |
| Ghafoor et al | 1500 | VNRDs (100%) | 22 (1.47%) | 62 (4.1%) | NR |
| Waheed et al | 65,376 | RDs (91.75%) | 2765 (4.22%) | 1083 (1.65%) | NR |
| Sial et al | 29,522 | RDs (87%) | 368 (1.24%) | 743 (2.51%) | 9 (0.03%) |
| Raza et al | 33,595 | NR | 554 (1.64%) | 716 (2.1%) | NR |
| Niazi et al | 160,552 | RDs (95.4%) | 2385 (1.48%) | 4194 (2.61%) | NR |
| Nadeem et al | 4662 | VNRDs (10.7%) | 58 (1.24%) | 99 (2.12%) | NR |
| Arshad et al | 16,602 | RDs (95%) | 290 (1.7%) | 307 (1.84%) | NR |
| Memon et al | 4683 | NR | 66 (1.4%) | 165 (3.52%) | NR |
| Zameer et al | 10,048 | NR | 160 (1.59%) | 387 (3.75%) | 12 (0.11%) |
| Wadood et al | 536 | NR | NR | 16 (2.99%) | NR |
| Saeed et al | 18,274 | RDs (99.89%). | 210 (1.10%) | 480 (2.62%) | 22 (0.12%) |
| Sultan et al | 16,957 | RDs (99.2%) | 301 (1.78%) | 365 (2.15%) | NR |
| Rehman et al | 1400 | VNRDs (100%) | NR | 26 (1.85%) | NR |
| Raza et al | 16,660 | NR | 278 (1.67%) | 318 (1.91%) | NR |
| Awan et al | 30,470 | NR | 322 (1.06%)d | 392 (1.29%)d | 5 (0.02%) |
| Naz et al | 14,652 | RDs (95%) | NR | 229 (1.563%)d | NR |
| Abdullah et al | 76,530 | NR | 1262 (1.65%) | NR | NR |
| Rauf et al | 6594 | VNRDs (1.12%) | 74 (1.12%) | 214 (3.24%) | 15 (0.22%) |
| Masood et al | 8517 | NR | 200 (2.5%) | NR | NR |
| Total frequency | 16,203/791,356 = 2.04%f | 17,660/723,497 = 2.44%f |
Notes: aTypes of donors were considered not reported if they did not characterize patients into replacement donors, paid donors, or voluntary non-remunerated donors. bRoutine lab test. cELISA. dSerology. eNAAT. fTotal frequency of a single TTI was calculated based on the total number of donors positive for a particular TTI such as HBV or HCV divided by the total number of donors screened for that TTI multiplied by 100.
Abbreviations: ELISA, enzyme-linked immunosorbent assay; KPK, Khyber Pakhtunkhwa; NAAT, nucleic acid amplification test; RD, replacement donors; NR, not reported; VNRDs, voluntary non-remunerated donors.
Summary of Data from Studies Reporting Frequency of HIV, Syphilis, and Malaria in Blood Donors
| Study | No. of Donors | Type of Donorsa | Frequency of HIV | Frequency of Syphilis | Frequency of Malaria |
|---|---|---|---|---|---|
| Ali et al | 1558 | VNRDs (100%) | NR | NR | 9 (0.577%) |
| Waheed et al | 10,145 | RDs (94%) | 0% | 90 (0.89%) | 121 (1.20%) |
| Ansari et al | 5517 | NR | 0% | NR | NR |
| Attaullah et al | 1,27,828 | NR | 77 (0.06%) | 544 (0.43%) | |
| Irfan et al | 108,598 | RDs (98.8%) | 111 (0.10%) | NR | NR |
| Tufail et al | 1833 | NR | 3 (0.16%) | NR | NR |
| Ghafoor et al | 1500 | VNRDs (100%) | 2 (0.13%) | 7 (0.46%) | NR |
| Usman et al | 87,600 | NR | NR | NR | 38 (0.04%) |
| Ghani et al | 626,413 | NR | 66 (0.01%) | NR | NR |
| Waheed et al | 65,376 | RDs (91.75%) | 45 (0.06%) | 71 (0.11%) | 24 (0.04%) |
| Sial et al | 29,522 | RDs (87%) | 20 (0.07%) | 531 (1.79%) | NR |
| Raza et al | 33,595 | NR | 34 (0.10%) | 582 (1.73%) | 2 (0.005%) |
| Niazi et al | 160,552 | RDs (95.4%) | 26 (0.02%) | 1520 (0.95%) | NR |
| Nadeem et al | 4662 | VNRDs (10.7%) | NR | 36 (0.8%) | NR |
| Arshad et al | 16,602 | RDs (95%) | 7 (0.04%) | 357 (2.1%) | 12 (0.07%) |
| Kousar et al | 6000 | NR | NR | NR | 30 (0.5%) |
| Memon et al | 4683 | NR | 3 (0.06%) | 141 (3.01%) | 5 (0.10%) |
| Zameer et al | 10,048 | NR | 12 (0.11%) | 209 (2.08%) | 39 (0.39%) |
| Saeed et al | 18,274 | RDs (99.89%) | 4 (0.02%) | 284 (1.55%) | 20 (0.10%) |
| Sultan et al | 16,957 | RDs (99.2%) | 14 (0.08%) | 287 (1.69%) | 2 (0.01%) |
| Raza et al | 16,660 | NR | 12 (0.07%) | 294 (1.76%) | 2 (0.01%) |
| Awan et al | 30,470 | NR | 49 (0.16%) | 228 (0.75%) | 5 (0.02%) |
| Rauf et al | 6594 | VNRDs (1.12%) | 12 (0.18%) | 73 (1.10%) | 59 (0.89%) |
| Zahoor et al | 76,530 | NR | NR | 1720 (2.25%) | NR |
| Total frequencyb | 497/1,291,167 = 0.038%b | 6974/629,998 = 1.1%b | 368/309,562 = 0.11%b |
Notes: aTypes of donors were considered not reported if they did not characterize patients into replacement donors, paid donors, or voluntary non-remunerated donors. bTotal frequency for a single TTI was calculated based on the total number of donors positive for that TTI such as HIV, syphilis, or malaria divided by the total number of donors screened for that TTI multiplied by 100.
Abbreviations: ELISA, enzyme-linked immunosorbent assay; KPK, Khyber Pakhtunkhwa; NAAT, nucleic acid amplification test; RD, replacement donors; NR, not reported; VNRDs, voluntary non-remunerated donors.