| Literature DB >> 35746750 |
Saba Ramezanzadeh1,2, Apostolos Beloukas3,4, Abdol Sattar Pagheh5, Mohammad Taghi Rahimi6, Seyed Abdollah Hosseini7, Sonia M Rodrigues Oliveira8,9, Maria de Lourdes Pereira8,10, Ehsan Ahmadpour1,11.
Abstract
Cyclospora cayetanensis infections remain one of the most common protozoan opportunistic causes of gastrointestinal diseases and diarrhea among people living with HIV and/or AIDS (PLWHA). This study was conducted to provide a summary of the evidence on the global burden of C. cayetanensis infection and associated risk factors among PLWHA. Scopus, PubMed, Science Direct, and EMBASE were searched up to February 2022. All original peer-reviewed original research articles were considered, including descriptive and cross-sectional studies describing C. cayetanensis in PLWHA. Incoherence and heterogeneity between studies were quantified by I index and Cochran's Q test. Publication and population bias were assessed with funnel plots and Egger's asymmetry regression test. All statistical analyses were performed using StatsDirect. The pooled prevalence of C. cayetanensis infection among PLWHA was 3.89% (95% CI, 2.62-5.40). The highest prevalence found in South America was 7.87% and the lowest in Asia 2.77%. In addition, the prevalence of C. cayetanensis was higher in PLWHA compared to healthy individuals. There was a relationship between a higher C. cayetanensis prevalence in PLWHA with a CD4 cell count below 200 cells/mL and people with diarrhea. The results show that PLWHA are more vulnerable to C. cayetanensis infection and emphasizes the need to implement the screening and prophylaxis tailored to the local context. Owing to the serious and significant clinical manifestations of the parasite, an early identification of seropositivity is recommended to initiate prophylaxis between PLWHA with a CD4 count ≤200 cells/mL and PLWHA who do not receive antiviral therapy.Entities:
Keywords: AIDS; Cyclospora cayetanensis; HIV; meta-analysis; prevalence; protozoan parasite
Mesh:
Year: 2022 PMID: 35746750 PMCID: PMC9228463 DOI: 10.3390/v14061279
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.818
Figure 1Search strategy and study selection process indicating numbers of studies excluded or included using PRISMA flow diagram.
Assessment of risk of bias and quality in included studies.
| NO | First Author | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Score |
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| 1 | J.W. Pape |
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| 2 | J. Sifuentes |
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| 3 | S. Manatsathit |
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| 4 | Y. Germani |
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| 5 | J.F. Lindo |
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| 6 | J.P. Cegielski |
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| 7 | A. Escobedo |
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| 8 | T. Gumbo |
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| 9 | A. Mukhopadhya |
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| 10 | L. Chacin-Bonilla |
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| 11 | R.A. Pratdesaba |
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| 12 | S.S. Kumar |
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| 13 | K. Mohandas |
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| 14 | K.-X. Wang |
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| 15 | V. Capó de Paz |
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| 16 | L. Chacin-Bonilla |
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| 17 | C. Sarfati |
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| 18 | M.L. Becker |
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| 19 | R.G. Kaminsky |
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| 20 | S. Gupta |
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| 21 | C.P. Raccurt |
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| 22 | L. Tuli |
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| 23 | S. Kulkarni |
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| 24 | A. Kurniawan |
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| 25 | W. Saksirisampant |
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| 26 | P. Viriyavejakul |
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| 27 | S. Babatunde |
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| 28 | I. Asma |
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| 29 | M. Agholi |
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| 30 | M.K. Mathur |
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| 31 | Z. Rivero-Rodríguez |
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| 32 | B.R. Tiwari |
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| 33 | N.H. Ahmed |
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| 34 | D.S. Nsagha |
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| 35 | M. Agholi |
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| 36 | S. Shah |
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| 37 | C.R. Swathirajan |
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| 38 | H.K. Uysal |
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| 39 | G. Alemu |
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| 40 | Y.K. Opoku |
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| 41 | O. Zorbozan |
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| 42 | H. Masoumi-Asl |
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| 43 | E.G. Rodríguez-Pérez |
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| 44 | E.O. Udeh |
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| 45 | M.A.A.S. Namaji |
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YES. No. Unclear/Not applicable.
Included studies of C. cayetanensis in people with HIV.
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| 1 | J.W. Pape | 1994 | Haiti | Cohort | 450/43 | 24 | Modified Kinyoun acid-fast | 450 | NR | [ |
| 2 | J. Sifuentes | 1995 | Mexico City | Cross-sectional | 235/7 | 40.5 | Modified acid-fast | 235 | NR | [ |
| 3 | S. Manatsathit | 1996 | Thailand | Prospective study | 45/1 | 35 | Modified acid-fast | 45 | 45 | [ |
| 4 | Y. Germani | 1998 | Central African | Case-control | 171/5 | NR | Modified trichrome | 171 | 171 | [ |
| 5 | J.F. Lindo | 1998 | Honduras | Cross-sectional | 52/1 | 33.8 | Modified Kinyoun acid-fast | 16 | NR | [ |
| 6 | J.P. Cegielski | 1999 | Tanzania | Case-control | 124/1 | NR | Kinyoun and auramine rhodamine | 124 | NR | [ |
| 7 | A. Escobedo | 1999 | Cuba | Case-control | 67/2 | 27.9 | Modified Ziehl–Neelsen | NR | NR | [ |
| 8 | T. Gumbo | 1999 | Zimbabwe | Prospective study | 88/0 | 33 | Modified acid-fast | 88 | NR | [ |
| 9 | A. Mukhopadhya | 1999 | India | Cross-sectional | 111/5 | NR | Safranine-Methylene blue and auramine | 61 | NR | [ |
| 10 | L. Chacin-Bonilla | 2001 | Venezuela | Retrospective study | 71/7 | 33.5 | Modified Ziehl–Neelsen | 71 | NR | [ |
| 11 | R.A. Pratdesaba | 2001 | Guatemala | Cross-sectional | 157/6 | 32 | Modified acid-fast | NR | NR | [ |
| 12 | S.S. Kumar | 2002 | India | Case-control | 152/1 | 40 | Modified Kinyoun acid- fast and Safranin Methylene blue | 102 | NR | [ |
| 13 | K. Mohandas | 2002 | Northern India | Cross-sectional | 120/4 | NR | Ziehl–Neelsen | 26 | NR | [ |
| 14 | K.-X. Wang | 2002 | China | Case-control | 32/3 | NR | Auramine phenol stain and modified acid-fast | 32 | NR | [ |
| 15 | V. Capó de Paz | 2003 | Cuba | Cross-sectional | 170/6 | NR | Ziehl–Neelsen | 170 | NR | [ |
| 16 | L. Chacin-Bonilla | 2006 | Venezuela | Case-control | 74/6 | 37.3 ± 5.6 | Modified Ziehl–Neelsen | 74 | NR | [ |
| 17 | C. Sarfati | 2006 | Cameroon | Cross-sectional | 154/0 | 36 | Modified Ziehl–Neelsen | 46 | NR | [ |
| 18 | M.L. Becker | 2007 | India | Case-control | 153/0 | 32.7 ± 8 | Acid-fast trichrome | 153 | NR | [ |
| 19 | R.G. Kaminsky | 2007 | Honduras | Cross-sectional | 56/2 | 32.3 | Acid-fast trichrome | 18 | NR | [ |
| 20 | S. Gupta | 2008 | India | Cross-sectional | 113/1 | 33.2 ± 9.72 | Modified acid-fast | 34 | NR | [ |
| 21 | C.P. Raccurt | 2008 | Haiti | Cross-sectional | 67/27 | NR | Weber modified trichrome | 67 | NR | [ |
| 22 | L. Tuli | 2008 | India | Case-control | 366/88 | 35.5 | Modified acid-fast and modified safranin | 366 | 236 | [ |
| 23 | S. Kulkarni | 2009 | India | Cross-sectional | 137/1 | M: 34.6 ± 7.51 | Modified acid-fast | 137 | 65 | [ |
| 24 | A. Kurniawan | 2009 | Indonesia | Cross-sectional | 318/12 | NR | Modified acid-fast | NR | NR | [ |
| 25 | W. Saksirisampant | 2009 | Thailand | Cross-sectional | 90/1 | 39.5 | Modified Ziehl–Neelsen | 71 | NR | [ |
| 26 | P. Viriyavejakul | 2009 | Thailand | Cross-sectional | 64/3 | NR | Ziehl–Neelsen | 64 | NR | [ |
| 27 | S. Babatunde | 2010 | Nigeria | Cross-sectional | 90/16 | 35 | Modified Ziehl–Neelsen | 90 | 26 | [ |
| 28 | I. Asma | 2011 | Malaysia | Cross-sectional | 346/17 | 21.5 | Modified Ziehl–Neelsen | 30 | 189 | [ |
| 29 | M. Agholi | 2013 | Iran | Cross-sectional | 356/1 | 37.18 | Acid-fast trichrome stain, nested PCR | 103 | 188 | [ |
| 30 | M.K. Mathur | 2013 | India | Retrospective study | 544/12 | 42.5 | Modified Ziehl–Neelsen | 400 | NR | [ |
| 31 | Z. Rivero-Rodríguez | 2013 | Venezuela | Cross-sectional | 56/2 | 35 ± 11.95 | Modified Kinyoun acid-fast | 48 | NR | [ |
| 32 | B.R. Tiwari | 2013 | Nepal | Cross-sectional | 745/14 | 30 | Modified acid-fast | 248 | 327 | [ |
| 33 | N.H. Ahmed | 2015 | India | Cohort | 142/3 | NR | Modified Ziehl–Neelsen’s cold staining | 142 | NR | [ |
| 34 | D.S. Nsagha | 2015 | Cameroon | Cross-sectional | 300/11 | 40 | Modified Ziehl–Neelsen | 118 | 76 | [ |
| 35 | M. Agholi | 2016 | Iran | Cross-sectional | 387/2 | NR | Modified acid-fast or acid-fast trichrome and semi-nested PCR | 387 | NR | [ |
| 36 | S. Shah | 2016 | India | Cross-sectional | 45/2 | 34.5 | Modified Ziehl–Neelsen | 27 | 22 | [ |
| 37 | C.R. Swathirajan | 2017 | South India | Cross-sectional | 829/2 | M: 38 | Modified acid-fast | 829 | NR | [ |
| 38 | H.K. Uysal | 2017 | Turkey | Cross-sectional | 115/3 | 41.5 | Ziehl–Neelsen and Kinyoun acid-fast, molecular methods | NR | 11 | [ |
| 39 | G. Alemu | 2018 | Ethiopia | Cross-sectional | 220/13 | NR | Modified Ziehl–Neelsen | 21 | 43 | [ |
| 40 | Y.K. Opoku | 2018 | Ghana | Cross-sectional | 50/14 | NR | Ziehl–Neelsen | 50 | NR | [ |
| 41 | O. Zorbozan | 2018 | Turkey | Prospective study | 65/2 | 41.9 ± 12.4 | Modified acid-fast, Giemsa, Kinyoun | 65 | NR | [ |
| 42 | H. Masoumi-Asl | 2019 | Iran | Cross-sectional | 102/1 | NR | Acid-fast and nested PCR | NR | 9 | [ |
| 43 | E.G. Rodríguez-Pérez | 2019 | Mexico | Prospective study | 29/0 | 37 | Modified Ziehl–Neelsen, Giemsa and acid-fast trichrome | NR | NR | [ |
| 44 | E.O. Udeh | 2019 | Nigeria | Case-control | 891/9 | NR | Ziehl–Neelsen | NR | 3 | [ |
| 45 | M. Namaji | 2020 | India | Cross-sectional | 361/7 | NR | Modified acid-fast | 361 | NR | [ |
Figure 2Pooled prevalence of C. cayetanensis in HIV-infected patients in different continents.
Risk factors associated with C. cayetanensis infection in HIV patients.
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| 3 | Male | 1.72 (0.79–3.73) | 0 | 2.06 | ||
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| 8 | Yes | 3.23 (1.38–7.54) | 0 | 4.81 | ||
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| 10 | <200 cells/mL | 4.07 (1.37–12.12) | 74.5 | 35.24 | ||
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| 3 | No | 2.07 (0.29–14.81) | - | 1.57 |
Figure 3Random-effects meta-analysis of C. cayetanensis infection in people living with HIV and/or AIDS (PLWHA).
Figure 4Bias assessment plot displaying the prevalence estimate of prevalence of C. cayetanensis infection in people living with HIV and/or AIDS.