| Literature DB >> 26694983 |
Camila González-Beiras, Michael Marks, Cheng Y Chen, Sally Roberts, Oriol Mitjà.
Abstract
The global epidemiology of Haemophilus ducreyi infections is poorly documented because of difficulties in confirming microbiological diagnoses. We evaluated published data on the proportion of genital and nongenital skin ulcers caused by H. ducreyi before and after introduction of syndromic management for genital ulcer disease (GUD). Before 2000, the proportion of GUD caused by H. ducreyi ranged from 0.0% to 69.0% (35 studies in 25 countries). After 2000, the proportion ranged from 0.0% to 15.0% (14 studies in 13 countries). In contrast, H. ducreyi has been recently identified as a causative agent of skin ulcers in children in the tropical regions; proportions ranged from 9.0% to 60.0% (6 studies in 4 countries). We conclude that, although there has been a sustained reduction in the proportion of GUD caused by H. ducreyi, this bacterium is increasingly recognized as a major cause of nongenital cutaneous ulcers.Entities:
Keywords: Haemophilus ducreyi; bacteria; chancroid; epidemiology; genital ulcer disease; genital ulcers; nongenital cutaneous infections; sexually transmitted infections; skin ulcers
Mesh:
Year: 2016 PMID: 26694983 PMCID: PMC4696685 DOI: 10.3201/eid2201.150425
Source DB: PubMed Journal: Emerg Infect Dis ISSN: 1080-6040 Impact factor: 6.883
Figure 1Procedure for selecting eligible references on the epidemiology of Haemophilus ducreyi as a causative agent of genital ulcers. GUDs, genital ulcer disease; STI, sexually transmitted infections.
Figure 2Ulcers caused by infection with Haemophilus ducreyi. A, B) Genital ulcers in adult patients from Ghana (provided by David Mabey). C, D) Skin ulcers in children from Papua New Guinea (provided by Oriol Mitjà).
Characteristics of 35 studies of genital ulcers caused by Haemophilus ducreyi, 1980–1999*
| Area, reference† | Country | Year of study | Diagnostic method | No. patients with GUD | No. cases | % (95% CI) |
|---|---|---|---|---|---|---|
| Africa | ||||||
| Paz-Bailey et al. ( | Botswana | 1993 | Culture | 108 | 27 | 25.0 (17.7–33.9) |
| Steen ( | Côte d’Ivoire | 1996 | PCR | NA | NA | 47 |
| Mabey et al. ( | Gambia | 1987 | Culture | 104 | 54 | 51.9 (42.4–61.2) |
| Hawkes et al. ( | Gambia | 1995 | M-PCR | 18 | 8 | 44.4 (24.5–66.2) |
| Nsanze et al. ( | Kenya | 1980 | Culture | 97 | 60 | 61.8 (51.9–70.9) |
| Kaul et al. ( | Kenya | 1997 | Culture | 189 | 54 | 28.5 (22.6–35.3) |
| Morse et al. ( | Lesotho | 1994 | M-PCR | 105 | 55 | 53.3 (43.8–62.6) |
| Harms et al. ( | Madagascar | 1992 | Culture | 12 | 61 | 19.6 (11.6–31.3) |
| Behets et al. ( | Madagascar | 1997 | M-PCR | 196 | 64 | 32.6 (26.4–39.5) |
| Behets et al. ( | Malawi | 1995 | M-PCR | 778 | 204 | 26.2 (23.2–29.4) |
| Hoyo et al. ( | Malawi | 1999 | M-PCR | 137 | 41 | 29.0 (22.8–38.0) |
| Bogaerts et al. ( | Rwanda | 1992 | Culture | 395 | 115 | 29.1 (24.8–33.7) |
| Totten et al. ( | Senegal | 1992 | PCR | 39 | 22 | 56.4 (40.9–70.7) |
| Crewe-Brown et al. ( | South Africa | 1981 | Culture | 100 | 45 | 45 (35.5–54.7) |
| Dangor et al. ( | South Africa | 1989 | Culture | 240 | 164 | 68.3 (62.2–73.8) |
| Cheng et al. ( | South Africa | 1994 | M-PCR | 538 | 171 | 31.7 (27.9–35.8) |
| Lai et al. ( | South Africa | 1994 | M-PCR | 160 | 232 | 68.9 (62.7–74.5) |
| South Africa | 1998 | M-PCR | 94 | 186 | 50.5 (43.4–57.6) | |
| Meheus et al. ( | Swaziland | 1979 | Culture | 155 | 68 | 43.8 (36.3–51.7) |
| Ahmed et al. ( | Tanzania | 1999 | PCR | 102 | 12 | 11.7 (6.8–19.4) |
| Le Bacq et al. ( | Zimbabwe | 1991 | Culture | 90 | 22 | 24.4 (16.7–34.2) |
| Asia | ||||||
| Wang et al. ( | China | 1999 | M-PCR | 96 | 0 | 0.0 (0.0–3.8) |
| Risbud et al. ( | India | 1994 | M-PCR | 302 | 84 | 27.8 (23.0–33.1) |
| Rajan et al. ( | Singapore | 1983 | Culture | 670 | 56 | 8·3 (6·4–10·7) |
| Beyrer et al. ( | Thailand | 1996 | M-PCR | 38 | 0 | 0.0 (0.0–9.1) |
| North America | ||||||
| Dillon et al. ( | United States | 1990 | Culture | 82 | 27 | 32.9 (23.7–43.6) |
| Mertz et al. ( | United States | 1995 | M-PCR | 143 | 56 | 39.1 (231.5–47.3) |
| Mertz et al. ( | United States | 1996 | M-PCR | 516 | 16 | 3.1 (1.9–4.9) |
| South America | ||||||
| Sanchez et al. ( | Peru | 1995 | M-PCR | 61 | 3 | 4.9 (1.6–13.4) |
| Caribbean | ||||||
| Sanchez et al. ( | Dominican Republic | 1996 | M-PCR | 81 | 21 | 25.9 (17.6–36.4) |
| Behets et al. ( | Jamaica | 1996 | M-PCR | 304 | 72 | 23·6 (19.2–28.7) |
| Bauwens et al. ( | Bahamas | 1992 | PCR | 47 | 7 | 14·8 (7.4–27.6) |
| Middle East | ||||||
| Madani et al. ( | Saudi Arabia | 1999 | Culture | 3,679 | 78 | 2.1 (1.7–2.5) |
| Europe | ||||||
| Kyriakis et al. ( | Greece | 1996 | Culture | 695 | 32 | 4.6 (3.2–6.4) |
| Bruisten et al. ( | The Netherlands | 1996 | M-PCR | 368 | 3 | 0.8 (0.2–2.3) |
*GUD, genital ulcer disease; NA, not available; M-PCR, multiplex PCR. †References 41–47 provided in the online Technical Appendix (http://wwwnc.cdc.gov/EID/article/22/1/15-0425-Techapp1.pdf).
Characteristics of 14 studies of genital ulcers caused by Haemophilus ducreyi, 2000–2014*
| Area, reference† | Country | Year of study | Diagnostic method | No. patients with GUD | No. cases
| % (95% CI) |
|---|---|---|---|---|---|---|
| Africa | ||||||
| Paz-Bailey et al. ( | Botswana | 2002 | PCR | 137 | 1 | 0.7 (0.1–4.0) |
| Mehta et al. ( | Kenya | 2007 | M-PCR | 59 | 0 | 0.0 (0.0–6.1) |
| Phiri et al. ( | Malawi | 2006 | M-PCR | 398 | 60 | 15.0 (11.8–18.9) |
| Zimba et al. ( | Mozambique | 2005 | PCR | 79 | 3 | 3.8 (1.3–10.9) |
| Tobias et al. ( | Namibia | 2007 | PCR | 199 | 0 | 0.0 (0.0–1.8) |
| O’Farrell et al. ( | South Africa | 2004 | M-PCR | 162 | 2 | 1.2 (0.3–4.6) |
| Lewis et al. ( | South Africa | 2006 | M-PCR | 613 | 10 | 1.6 (0.9–2.9) |
| Nilsen et al. ( | Tanzania | 2001 | PCR | 232 | 12 | 5.1 (2.9–8.8) |
| Suntoke et al. ( | Uganda | 2006 | M-PCR | 100 | 2 | 2.0 (0.5–7.0) |
| Makasa et al. ( | Zambia | 2010 | PCR | 200 | 0 | 0 (0.0–1.8) |
| South America | ||||||
| Gomes Naveca et al. ( | Brazil | 2009 | PCR | 434 | 0 | 0 (0.0–0.8) |
| Middle East | ||||||
| Maan et al. ( | Pakistan | 2009 | Culture | 521 | 20 | 3.8 (2.5–5.8) |
| Europe | ||||||
| Hope-Rapp et al. ( | France | 2005 | Culture | 278 | 8 | 2.8 (1.4–5.5) |
| Oceania | ||||||
| Mackay et al. ( | Australia | 2002 | M-PCR | 64 | 0 | 0.0 (0.0–5.6) |
*GUD, genital ulcer disease; M-PCR, multiplex PCR. †References 48–60 provided in the online Technical Appendix (http://wwwnc.cdc.gov/EID/article/22/1/15-0425-Techapp1.pdf).
Figure 3Trend of proportion of genital ulcers caused by infections with Haemophilus ducreyi, 1979–2010.
Characteristics of 11 studies on skin ulcers caused by Haemophilus ducreyi, 1988–2014*
| Reference | Country | Year of study | Diagnostic method | No. patients with skin ulcers | No cases | % (95% CI) |
|---|---|---|---|---|---|---|
| Marckmann et al. ( | Fiji Islands | 1988 | Culture | 1 man | 1 | NA |
| Ussher et al. ( | Samoa | 2005 | PCR | 3 girls <10 y of age | 3 | NA |
| McBride et al. ( | Vanuatu | 2007 | PCR | 1 woman | 1 | NA |
| Peel et al. ( | Vanuatu and Papua New Guinea | 2010 | PCR | 2 men | 2 | NA |
| Humphrey et al. ( | Sudan | 2007 | PCR | 1 boy | 1 | NA |
| Mitjà et al. ( | Papua New Guinea | 2013 | PCR | 90 | 54 | 60.0 (49.6–69.5) |
| Mitjà et al. ( | Papua New Guinea | 2014 | PCR | 114 | 60 | 60.1 (54.3–65.5) |
| Marks et al. ( | Solomon Islands | 2013 | PCR | 41 | 13 | 31.7 (19.5–46.9) |
| Chen et al.† | Vanuatu | 2013 | PCR | 176 | 68 | 38.6 (31.7–46.0) |
| Chen et al.† | Ghana | 2013 | PCR | 179 | 49 | 27.3 (21.3–34.3) |
| Ghinai et al. ( | Ghana | 2014 | PCR | 90 | 8 | 8.8 (4.5–16.5) |
*NA, not applicable. †Pers. comm.