| Literature DB >> 31191039 |
Angie Sway1, Peter Nthumba2, Joseph Solomkin3, Giorgio Tarchini4, Ronald Gibbs5, Yanhan Ren6, Anthony Wanyoro7.
Abstract
Cesarean section (CS) is the most common operative procedure performed in sub-Saharan Africa (SSA), accounting for as much as 80% of the surgical workload. In contrast to CSs performed in high-income countries, CSs performed in SSA are accompanied by high morbidity and mortality rates. This operation is the most important known variable associated with an increased probability of postpartum bacterial infection. The objective of this review was to assess surgical outcomes related to CS in SSA. PubMed (including Medline), CINAHL, Embase, and the World Health Organization's Global Health Library were searched without date or language restrictions. A total of 26 studies reporting surgical site-infection rates after CS were identified, representing 14,063 women from 14 countries. The vast majority (76.7%) of CSs performed were emergency operations. The overall CS rate for women included in this review was 12.4% (range: 1.0%-41.9%). Only 17 of 26 total studies reported a significant proportion of women receiving antimicrobials of any kind. The surgical site-infection rate was 15.6% and the wound-infection rate 10.3%.Entities:
Keywords: cesarean section; maternal mortality; sepsis; sub-Saharan Africa; surgical site infection; wound infection
Year: 2019 PMID: 31191039 PMCID: PMC6512794 DOI: 10.2147/IJWH.S182362
Source DB: PubMed Journal: Int J Womens Health ISSN: 1179-1411
Study characteristics
| Study | Year | Study period (month/year) | Country | Hospital type | Hospital city | City population (n) | Hospital county | Study population (n) | Quality score (n/25) |
|---|---|---|---|---|---|---|---|---|---|
| Adesunkanmi and Faleyimu | 2003 | 1/1989–12/1993 | Nigeria | Academic | Ilesa | 647,500 | Osun | 701 | 13 |
| Ali | 1995 | 6/1992–9/1993 | Ethiopia | Academic | Jimma | 207,573 | Jimma | 100 | 12 |
| Amenu et al | 2011 | 4/2009–3/2010 | Ethiopia | Academic | Jimma | 207,573 | Jimma | 580 | 10 |
| Ansaloni et al | 2001 | 3/1997–7/1997 | Kenya | Rural | Kiambu | 88,869 | Kiambu | 160 | 13 |
| Björklund et al | 2005 | 7/2001–1/2003 | Uganda | Urban tertiary | Kampala | 1,659,600 | Kampala | 1,526 | 16 |
| Brisibe et al | 2015 | NA | Nigeria | Academic | Port Harcourt | 2,000,000 | Rivers | 711 | 4 |
| Bukar et al | 2009 | 1/2001–12/2003 | Nigeria | Federal | Gombe | 2,353,000 | Gombe | 250 | 11 |
| Chilopora et al | 2007 | 10/2005–12/2005 | Malawi | Multicenter | NA | NA | NA | 1,754 | 13 |
| Chu et al | 2015 | 8/2010–1/2011 | Burundi, Democratic Republic of the Congo, Sierra Leone | Multicenter | Masisi, Lubutu, Kabezi, Bo | NA | North Kivu Province, Maniema, Bujumbura, Southern Province | 1,276 | 15 |
| de Nardo et al | 2016 | 8/2013–11/2013 | Tanzania | NA | Dodoma | 410,956 | Dodoma | 467 | 11 |
| Ezechi et al | 2009 | 1/2004–8/2008 | Nigeria | Urban | Lagos | 16,060,303 | Lagos | 817 | 7 |
| Fesseha et al | 2011 | 1/2008–12/2008 | Ethiopia | Mixed | NA | NA | NA | 267 | 12 |
| Harfouche et al | 2015 | 1/2010–6/2010 | Malawi | District | Lilongwe | 1,077,116 | Central Region | 513 | 11 |
| Jido and Garba | 2012 | 1/2001–12/2002 | Nigeria | Academic | Kano | 3,333,300 | Kano | 485 | 12 |
| Johnson and Buchmann | 2012 | 7/2010–8/2010 | South Africa | Academic | Johannesburg | 4,434,817 | Gauteng | 272 | 8 |
| Koigi-Kamau et al | 2005 | 1/2001–4/2001 | Kenya | District | Kiambu | 88,869 | Kiambu | 153 | 7 |
| Moodliar et al | 2007 | 11/2003–1/2004 | South Africa | Academic | Durban | 3,442,361 | KwaZulu-Natal | 737 | 13 |
| Moran et al | 1999 | NA | Ghana | Rural | Techiman | 104,212 | Brong Ahafo | 100 | 10 |
| Morhason-Bello et al | 2009 | 7/2004–9/2004 | Nigeria | Academic | Ibadan | 3,034,200 | Oyo | 74 | 7 |
| Mpogoro et al | 2014 | 10/2011–2/2012 | Tanzania | Academic | Mwanza | 2,772,509 | Mwanza | 345 | 15 |
| Ojiyi et al | 2012 | 6/2004–5/2008 | Nigeria | Academic | Orlu | 420,000 | Imo | 385 | 10 |
| Rabiu et al | 2011 | 1/2008–12/2009 | Nigeria | Academic | Lagos | 16,060,303 | Lagos | 347 | 9 |
| Saxer et al | 2009 | 12/2003–3/2004 | Tanzania | District | Ifakara | 99,000 | Morogoro | 803 | 8 |
| Sekirime and Lule | 2008 | NA | Uganda | Academic | Kampala | 1,659,600 | Kampala | 500 | 11 |
| van Bogaert and Misra | 2009 | NA | South Africa | Public | Glen Cowie | 7,966 | Limpopo | 692 | 6 |
| Zvandasara et al | 2007 | 6/2006–8/2006 | Kenya | Academic | Harare | 1,619,000 | Harare | 546 | 12 |
Abbreviation: NA, not available.
Background
| Study | Hospital births per year, n | Hospital cesareans per year, n (% of total births) | Elective, n (%) | Emergency, n (%) | HIV+, n (%) |
|---|---|---|---|---|---|
| Adesunkanmi and Faleyimu | NA | NA | 86 (12.3) | 615 (87.7) | NA |
| Ali | 1,236 | 100 (8.1) | 8 (8.0) | 92 (91.6) | NA |
| Amenu et al | NA | NA | 23 (4.0) | 557 (96.0) | NA |
| Ansaloni et al | 3,072 | 242 (7.9) | 76 (47.5) | 84 (52.5) | NA |
| Björklund et al | 27,000 | 5,400 (20.0) | 34 (2.2) | 1,492 (97.8) | 96 (6.3) |
| Brisibe et al | NA | NA | NA | NA | NA |
| Bukar et al | 724 | 88 (12.2) | 69 (27.6) | 180 (72.0) | NA |
| Chilopora et al | NA | NA | 452 (25.8) | 1,302 (74.4) | NA |
| Chu et al | NA | NA | 47 (3.7) | 1,229 (96.3) | NA |
| de Nardo et al | NA | NA | 42 (9.0) | 425 (91.0) | NA |
| Ezechi et al | NA | NA | 599 (73.3) | 218 (26.7) | NA |
| Fesseha et al | 174,561 | 17,145 (9.8) | 56 (21.0) | 205 (76.8) | NA |
| Harfouche et al | 14,780 | 2,052 (13.9) | 0 | 513 (100) | 76 (14.8) |
| Jido and Garba | 3,162 | 320 (10.1) | 51 (10.5) | 434 (89.5) | NA |
| Johnson and Buchmann | NA | NA | 53 (19.5) | 219 (80.5) | NA |
| Koigi-Kamau et al | 7,892 | 612 (7.8) | 11 (7.2) | 141 (92.2) | 13 (8.5) |
| Moodliar et al | 2,126 | 744 (35.0) | 112 (15.2) | 625 (84.8) | NA |
| Moran et al | 10,000 | 100 (1.0) | 0 | 100 (100) | NA |
| Morhason-Bello et al | 1,024 | 296 (28.9) | 13 (17.6) | 61 (82.4) | NA |
| Mpogoro et al | 2,444 | 559 (22.9) | 26 (7.5) | 319 (92.5) | NA |
| Ojiyi et al | 274 | 91 (33.2) | 166 (46.4) | 192 (53.6) | NA |
| Rabiu et al | 3,569 | 1,531 (42.9) | NA | NA | NA |
| Saxer et al | NA | NA | 35 (10.5) | 297 (89.5) | NA |
| Sekirime and Lule | NA | NA | 0 | 500 (100) | NA |
| van Bogaert and Misra | 4,800 | 864 (18.0) | 189 (27.3) | 503 (72.7) | NA |
| Zvandasara et al | 11,377 | 2,297 (20.2) | 130 (23.8) | 414 (75.8) | NA |
Abbreviation: NA, not available.
Indications for CS
| Study | Population, N | Prior CS, n (%) | PROMs, n (%) | CPD/obstructed labor, n (%) | Failed induction, n (%) | Fetal distress, n (%) | Hemorrhage, n (%) | Breech/malpresentation, n (%) | Eclampsia/Htn, n (%) | Cord prolapse, n (%) |
|---|---|---|---|---|---|---|---|---|---|---|
| Adesunkanmi and Faleyimu | 701 | 115 (16.4) | 10 (1.4) | 182 (26) | 21 (3) | 49 (7) | 85 (12.1) | 140 (20.0) | 22 (3.1) | 18 (2.6) |
| Ali | 100 | 16 (16) | 44 (44) | 6 (6) | 8 (8) | 21 (21) | 1 (1) | |||
| Amenu et al | 580 | 15 (2.6) | ||||||||
| Ansaloni et al | 160 | 71 (44.4) | 47 (29.4) | 16 (10) | 28 (17.5) | 28 (17.5) | 28 (17.5) | |||
| Björklund et al | 1,526 | |||||||||
| Brisibe et al | 711 | 201 (13.2) | 809 (53.0) | 150 (9.8) | 70 (4.6) | 84 (5.5) | 103 (6.7) | |||
| Bukar et al | 250 | 15 (2.1) | ||||||||
| Chilopora et al | 1,754 | 18 (7.2) | 52 (20.8) | 22 (8.8) | 36 (14.4) | 47 (18.8) | ||||
| Chu et al | 1,276 | 452 (25.8) | 1,290 (73.5) | 60 (3.4) | 264 (15.1) | 77 (4.4) | 53 (3.0) | 49 (2.8) | 62 (3.5) | |
| de Nardo et al | 467 | 184 (14.4) | 287 (22.5) | 399 (31.3) | 128 (10.0) | 101 (7.9) | 31 (2.4) | 39 (3.1) | ||
| Ezechi et al | 817 | 166 (35.5) | 11 (2.4) | 81 (17.3) | ||||||
| Fesseha et al | 267 | 158 (19.3) | 62 (7.6) | |||||||
| Harfouche et al | 513 | 29 (10.9) | 2 (0.7) | 86 (32.2) | 8 (3.0) | 38 (14.2) | 17 (6.4) | 35 (13.1) | 15 (5.6) | 6 (2.2) |
| Jido and Garba | 485 | 125 (24.4) | 113 (26.7) | 92 (17.9) | 48 (9.4) | |||||
| Johnson and Buchmann | 272 | 100 | ||||||||
| Koigi-Kamau et al | 153 | 31 (6.4) | 7 (1.4) | 86 (17.7) | 24 (4.9) | 19 (3.9) | 7 (1.4) | 48 (9.9) | 67 (13.8) | 7 (1.4) |
| Moodliar et al | 737 | 90 (33.1) | 19 (7.0) | |||||||
| Moran et al | 100 | 29 (19.0) | ||||||||
| Morhason-Bello et al | 74 | 101 (13.8) | 3 (0.4) | 154 (20.9) | 266 (36.1) | 35 (4.7) | 28 (3.8) | 120 (16.3) | ||
| Mpogoro et al | 345 | 22 (22) | 31 (31) | 2 (2) | 13 (13) | 9 (9) | 2 (2) | 5 (5) | ||
| Ojiyi et al | 385 | 48 (64.9) | ||||||||
| Rabiu et al | 347 | 106 (30.7) | 7 (2) | 28 (8.1) | 54 (15.7) | 9 (2.6) | 32 (9.3) | 30 (8.7) | ||
| Saxer et al | 803 | 43 (12) | 54 (15.1) | 38 (10.6) | 44 (12.3) | 34 (9.5) | ||||
| Sekirime and Lule | 500 | 267 (76.9) | 68 (19.6) | |||||||
| van Bogaert and Misra | 692 | |||||||||
| Zvandasara et al | 546 | 7 (1.5) | 237 (49.6) | 14 (2.9) | 26 (5.4) | 8 (1.7) | 3 (0.6) | 16 (3.3) | ||
| van Bogaert and Misra | 156 (22.5) | |||||||||
| Zvandasara et al | 139 (22.5) | 48 (8.8) | 16 (9.3) | 63 (11.5) | 72 (13.2) |
Notes: Values in parentheses show percentage of total births. Blank cells represent data not reported in the studies.
Abbreviations: CS, cesarean section; PROMs, prolonged rupture of membranes; CPD, cephalopelvic disproportion; Htn, hypertension.
Perioperative factors
| Study | Patients receiving antibiotics, n (%) | Antibiotic(s) used | Timing of antibiotics |
|---|---|---|---|
| Adesunkanmi and Faleyimu | NA | NA | NA |
| Ali | Most operated cases | NA | NA |
| Amenu et al | NA | NA | NA |
| Ansaloni et al | 160 (100.0) | Single-dose ampicillin 3 g– metronidazole 500 mg IV | Immediately before operation |
| Björklund et al | 1,495 (98.0) | Benzyl penicillin G | Preoperative, n (%): 346 (22.7) |
| Brisibe et al | 0 | None | None |
| Bukar et al | 250 (100.0) | NA | NA |
| Chilopora et al | 1,140 (65.0) | NA | Preoperative |
| Chu et al | 1,276 (100.0) | Cefazolin 1 g | Preoperative |
| de Nardo et al | 460 (99.0) | Ceftriaxone–metronidazole + ampicillin–cloxacillin | Preoperative, n: 10 |
| Ezechi et al | NA | NA | NA |
| Fesseha et al | 251 (94.0) | NA | NA |
| Harfouche et al | 424 (82.6) | Chloramphenicol or penicillin or ceftriaxone | NA |
| Jido and Garba | NA | NA | NA |
| Johnson and Buchmann | NA | NA | NA |
| Koigi-Kamau et al | NA | NA | NA |
| Moodliar et al | 725 (98.0) | NA | NA |
| Moran et al | NA | NA | NA |
| Morhason-Bello et al | 74 (100.0) | NA | NA |
| Mpogoro et al | 344 (99.7) | Single-dose ampicillin or nonampicillin combination | NA |
| Ojiyi et al | 358 (100.0) | Ampicillin–cloxacillin or metronidazole–gentamicin | Preoperative |
| Rabiu et al | NA | NA | NA |
| Saxer et al | 524 (99.0) | Chloramphenicol, aminopenicillin, benzylpenicillin | Preoperative, n (%): 63 (12.0) |
| Sekirime and Lule | 478 (100.0) | Penicillin | Postoperative |
| van Bogaert and Misra | 692 (100.0) | Ceftriaxone 1 g IV | Post–cord clamping |
| Zvandasara et al | 546 (100.0) | Penicillin–chloramphenicol | Preoperative |
Note: Values in parentheses show percentage of total births.
Abbreviation: NA, not available.
Postoperative complications
| Study | Population, N | SSI | Superficial, n (%) | Deep, n (%) | Organ/space, n (%) | Wound infection, n (%) | Sepsis/febrile morbidity, n (%) | Endometritis, n (%) | Maternal death, n (%) | Perinatal death or stillbirth, n (%) | Follow-up (days), n |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adesunkanmi and Faleyimu | 701 | 138 (19.7) | 115 (16.4) | 15 (2.1) | |||||||
| Ali | 100 | 27 (27.0) | 21 (21.0) | 33 (33.0) | |||||||
| Amenu et al | 580 | 66 (11.4) | |||||||||
| Ansaloni et al | 160 | 21 (13.1) | 7 (4.4) | 10 (6.3) | 42 | ||||||
| Björklund et al | 1,526 | 99 (6.5) | 170 (11.1) | ||||||||
| Brisibe et al | 711 | 96 (13.5) | 26 (3.7) | 44 (6.2) | 26 (3.7) | ||||||
| Bukar et al | 250 | 11 (4.4) | 4 (1.6) | 2 (0.8) | 19 (7.6) | ||||||
| Chilopora et al | 1,754 | 151 (8.6) | 444 (25.3) | 23 (1.3) | 234 (13.3) | 7 | |||||
| Chu et al | 1,276 | 93 (7.3) | 85 (6.7) | 7 (0.5) | 7 (0.5) | 174 (13.6) | |||||
| de Nardo et al | 467 | 225 (48.2) | 138 (29.6) | 69 (14.8) | 5 (1.1) | 30 | |||||
| Ezechi et al | 817 | 76 (9.3) | 5 | ||||||||
| Fesseha et al | 267 | 20 (7.5) | 2 (0.7) | ||||||||
| Harfouche et al | 513 | 1 (0.2) | 63 (12.3) | ||||||||
| Jido and Garba | 485 | 44 (9.1) | |||||||||
| Johnson and Buchmann | 272 | 30 (11.0) | 4 (1.5) | 14 | |||||||
| Koigi-Kamau et al | 153 | 29 (5.3) | |||||||||
| Moodliar et al | 737 | 39 (5.3) | 19 (2.6) | ||||||||
| Moran et al | 100 | 25 (25.0) | 4 (4.0) | ||||||||
| Morhason-Bello et al | 74 | 12 (16.2) | |||||||||
| Mpogoro et al | 345 | 34 (9.9) | 21 (6.1) | 8 (2.3) | 5 (1.4) | 30 | |||||
| Ojiyi et al | 385 | 41 (11.5) | 30 (8.4) | 3 (0.8) | |||||||
| Rabiu et al | 347 | 47 (13.5) | 69 (19.9) | 9 (2.6) | 3 (0.9) | ||||||
| Saxer et al | 803 | 125 (23.7) | 54 (10.2) | 54 (10.2) | 15 (2.8) | 16 (3.0) | |||||
| Sekirime and Lule | 500 | 77 (16.1) | |||||||||
| van Bogaert and Misra | 692 | 51 (7.4) | |||||||||
| Zvandasara et al | 546 | 99 (18.1) | 77 (14.1) | 122 |
Notes:
As per Centers for Disease Control and Prevention. Values in parentheses show percentage of total births. Blank cells represent data not reported in the studies. In this table, the included studies used varying definitions for SSI/wound infections, so it was not possible to aggregate data under one category/definition.
Abbreviation: SSI, surgical site infection.