| Literature DB >> 30037869 |
Frank-Leonel Tianyi1, Clarence Mvalo Mbanga2, Celestin Danwang3, Valirie Ndip Agbor4.
Abstract
OBJECTIVE: To summarise available data on the risk factors, complications and the factors associated with complications of lower limb cellulitis in Africa.Entities:
Keywords: Africa; complications; lower limb cellulitis; risk factors; systematic review
Mesh:
Year: 2018 PMID: 30037869 PMCID: PMC6059293 DOI: 10.1136/bmjopen-2017-021175
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Main search strategy for PubMed
| SN | Search items |
| 1. | (Cellulit* OR Erysipel* OR dermohypodermit* OR cellulitis (MeSH)) |
| 2. | (Africa* OR Algeria OR Angola OR Benin OR Botswana OR “Burkina Faso” OR Burundi OR Cameroon OR “Canary Islands” OR “Cape Verde” OR “Central African Republic” OR Chad OR Comoros OR Congo OR “Democratic Republic of Congo” OR Djibouti OR Egypt OR “Equatorial Guinea” OR Eritrea OR Ethiopia OR Gabon OR Gambia OR Ghana OR Guinea OR “Guinea Bissau” OR “Ivory Coast” OR “Cote d’Ivoire” OR Jamahiriya OR Kenya OR Lesotho OR Liberia OR Libya OR Madagascar OR Malawi OR Mali OR Mauritania OR Mauritius OR Mayotte OR Morocco OR Mozambique OR Namibia OR Niger OR Nigeria OR Principe OR Reunion OR Rwanda OR “Sao Tome” OR Senegal OR Seychelles OR “Sierra Leone” OR Somalia OR “South Africa” OR “South Sudan“ OR “St Helena“ OR Sudan OR Swaziland OR Tanzania OR Togo OR Tunisia OR Uganda OR “Western Sahara” OR Zaire OR Zambia OR Zimbabwe OR “Central Africa“ OR “Central African” OR “West Africa” OR “West African” OR “Western) Africa” OR “Western African” OR “East Africa” OR “East African” OR “Eastern Africa” OR “Eastern African” OR “North Africa” OR “North African” OR “Northern Africa” OR “Northern African” OR “ South African” OR “Southern Africa” OR “Southern African” OR “sub Saharan Africa” OR “sub Saharan African” OR “subSaharan Africa” OR “subSaharan African”) NOT (“guinea pig” OR “guinea pigs” OR “aspergillus niger”) |
| 3. | ##1 AND #2 |
| 4. | Date limits: 1 January 1986 to 30 October 2017, with no language restrictions |
Figure 1Flow diagram for study screening, selection and inclusion.
Summary studies on lower limb cellulitis in Africa included in the review
| Surname of author, publication year | Country | Region | Area | Study design | Study setting | Data collection | Random sampling | Male (%) | Mean/ | Age range* | Sample size (cases of cellulitis) | Terminology and definition of the term ‘cellulitis’ by the authors |
| Saka, 2017 | SSA | SSA | Urban and rural | Cohort | Hospital | Prospective | No | 67 | 43.7 | 15–88 | 562 (cases=562) | Cellulitis: sudden onset of red and oedematous and inflammatory leg associated with fever and chills |
| Mzabi, 2017 | Tunisia | North | Urban | Cross- | Hospital | Retrospective | No | 59.5 | 73 | 65–94 | 158 (158) | NR |
| Njim, 2017 | Cameroon | Central | Urban | Case | Hospital | Prospective | No | 34.4 | 52 | ≥15 | 183 (cases=61) | Cellulitis: localised area of lower limb erythema, warmth, oedema and pain, associated with fever (temperature >38°C) and/or chills of sudden onset |
| Titou, 2017 | Morocco | North | Urban | Cross- | Hospital | Retrospective | No | 75 | 54 | 37–71 | 152 (cases=152) | NR |
| Pitché, 2015 | SSA | SSA | Urban and rural | Cohort | Hospital | Prospective | No | 38.7 | 42.1 | >15 | 1092 (cases=364) | Cellulitis: sudden onset of red and oedematous and inflammatory leg associated with fever and chills |
| Pitché, 2015 | SSA | SSA | Urban and rural | Cohort | Hospital | Prospective | No | 39.7 | 43.7 | 15–88 | 562 (cases=562) | Cellulitis: sudden onset of red and oedematous and inflammatory leg associated with fever and chills |
| Mokni, 2006 | Tunisia | North | Urban | Case | Hospital | Prospective | No | 76.3 | 45.4 | ≥18 | 322 (cases=114) | Erysipelas: sudden onset (>24 hours) of a well-demarcated acute dermohypodermitis considered to be non-necrotising cellulitis with fever >38°C or chills. |
*Age in years.
SSA: Togo, Senegal, Mali, Ivory Coast, Guinea Conakry, Burkina Faso, Cameroon.
NR, not reported; SSA, Sub-Saharan Africa.
Summary of studies reporting on the risk factors of lower limb cellulitis in Africa
| Surname of author, publication year | Country | Region | Area | Study design | Study setting | Data collection | Random sampling | Male (%) | Mean/ | Age range* | Sample size | Risk factors of cellulitis (AOR, 95% CI) |
| Mokni, 2006 | Tunisia | North | Urban | Case control | Hospital | Prospective | No | 76.3 | 45.4 | ≥18 | 322 | Cutaneous barrier disruption (13.6; 6.3 to 31); leg oedema (7.0; 1.3 to 38) |
| Njim, 2017 | Cameroon | Central | Urban | Case control | Hospital | Prospective | No | 34.4 | 52 | ≥15 | 183 | Obesity (4.7: 1.5 to 14.7); history of skin disruption (12.4; 3.9 to 39.1); presence of toe-web intertrigo (51.4; 11.7 to 225.6) |
| Pitché, 2015 | SSA | SSA | Urban and rural | Cohort | Hospital | Prospective | No | 38.7 | 42.1 | >15 | 1092 | Obesity (2.8; 2.1 to 3.8); lymphoedema (3.9; 2.2 to 6.9); cosmetic depigmentation practices (4.3; 2.4 to 7.8); traumatic wound (37.9; 24.9 to 57.7); toe-web intertrigo (37.9; 22.3 to 64.4) |
*Age in years.
SSA: Togo, Senegal, Mali, Ivory Coast, Guinea Conakry, Burkina Faso, Cameroon.
AOR, adjusted OR; NR, not reported; SSA, Sub-Saharan Africa.
Summary of studies reporting on the complications of lower limb cellulitis and associated factors in Africa
| Surname of author, publication year | Country | Region | Area | Study design | Data collection | Random sampling | Male (%) | Mean age* | Age range* | Sample size | Complication(s) of lower limb cellulitis (proportion) | Factors associated with lower limb cellulitis (OR; 95% CI) |
| Saka, 2017 | SSA | SSA | Urban and rural | Cohort | Prospective | No | 67.0 | 43.7 | 15–88 | 562 | Necrotising fasciitis (6.1%); abscess (11.2%) | Factors associated with necrotising fasciitis: delay of antibiotic treatment >10 days (9.82; 2.82 to 34.17); use of NSAIDs before consultation (2.02; 1.01 to 4.05); use of cataplasm before consultation (5.07; 2.49 to 10.32) |
| Titou, 2017 | Morocco | North | Urban | Cross-sectional | Retrospective | No | 75 | 54.0 | 37–71 | 152 | All complications (47.4%); bullae (27%); haemorrhagic lesions (20%); abscess (11.1%) and necrosis (5%) | Taking antibiotics before hospitalisation (adjusted OR 5.15; 1.28 to 20.72): accelerated ESR on admission (adjusted OR 1.03; 1.00 to 1.06) |
| Njim, 2017 | Cameroon | Central | Urban | Case | Prospective | No | 34.4 | 52 | ≥15 | 61 | Amputation (4.9%); necrosectomy (47.5%) | NR |
| Mzabi, 2017 | Tunisia | North | Urban | Cross-sectional | Retrospective | No | 59.5 | 73 | 65–94 | 158 | All complication (8.9%); diabetic ketoacidosis (1.9%); necrotising fasciitis (5.1%); skin abscess and phlebitis (3.8%) | NR |
| Pitché, 2015 | SSA | SSA | Urban and rural | Cohort | Prospective | No | 67.0 | 43.7 | 15–88 | 567 | Leg abscess (11.2%) | Nicotine addiction (adjusted OR 3.75; 1.35 to 10.70); delay of antibiotic treatment >10 days (adjusted OR 4.6; 1.84 to 11.80) |
*Age in years.
SSA: Togo, Senegal, Mali, Ivory Coast, Guinea Conakry, Burkina Faso, Cameroon.
ESR, erythrocyte sedimentation rate; NR, not reported; NSAIDs, non-steroidal anti-inflammatory drugs; SSA, Sub-Saharan Africa.