| Literature DB >> 29375458 |
Abdu Kisekka Musubire1,2, David B Meya1,3, Paul R Bohjanen4, Elly Tebasooke Katabira3, Patrice Barasukana5, David R Boulware4, Ana-Claire Meyer6.
Abstract
BACKGROUND: Non-traumatic myelopathy is common in Africa and there are geographic differences in etiology. Clinical management is challenging due to the broad differential diagnosis and the lack of diagnostics. The objective of this systematic review is to determine the most common etiologies of non-traumatic myelopathy in sub-Saharan Africa to inform a regionally appropriate diagnostic algorithm.Entities:
Keywords: myelopathy; non-traumatic; paraplegia; spinal cord injury; sub-Saharan Africa
Year: 2017 PMID: 29375458 PMCID: PMC5770645 DOI: 10.3389/fneur.2017.00618
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1Search strategy in Medline and Embase using OVID search strategy. Flow diagram of the Search strategy through OVID in both the Medline and Embase database going through the selection criteria.
Study methodology: non-traumatic spinal cord injury.
| Article overview | Demographics | Presentation | ||||||||
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| Reference | Study period | Country | Study setting | Study design | Study population | Age | Sex (% male) | Paraplegia (%) | Time (weeks) | |
| Zenebe ( | 1990–1993 | Ethiopia | Medical Wards | Retrospective | Myelopathies | 130 | 40 (13–69) | 64 | 77 | – |
| Zenebe et al. ( | 1981–1988 | Ethiopia | Internal Medicine Ward | Retrospective | Paraplegia/Paraparesis | 164 | 36 (15–70) | 63 | 100 | 8 |
| Brown ( | 1972–1975 | Malawi | Medical Wards | Prospective | Paraplegia/Paraparesis | 102 | 15 | 69 | 100 | 52 |
| Naus et al. ( | 2000–2002 | Malawi | Medical Wards | Prospective | Myelopathy | 33 | 34 (9–67) | 73 | – | – |
| Leigh ( | 1975–1976 | Tanzania | Medical Wards | Retrospective | Myelopathies | 90 | 36 (3–80) | 68 | 82 | – |
| Scrimgeour ( | 1972–1979 | Tanzania | Medical Wards | Retrospective | Paraplegia/Paraparesis | 100 | 31 (2–80) | 67 | 100 | 10 |
| Parry et al. ( | 1989–1994 | Zimbabwe | Rehabilitation Centre | Retrospective | Paraplegia/Paraparesis | 159 | (–) 6–80 | 54 | 100 | – |
| Mahomed and Gelfand ( | 1972–1973 | Zimbabwe | General Ward | Retrospective | Paraplegia/Paraparesis | 100 | 30 (4–80) | 65 | 100 | – |
| Looti et al. ( | 1999–2006 | Cameroon | Neurology/Neurosurgery | Retrospective | Myelopathies | 147 | 45 (1.6) | 59 | 84 | 2 |
| Nyame ( | 1991–1994 | Ghana | Medical Wards | Prospective | Paraplegia/Paraparesis | 64 | 40 (15–82) | 59 | 88 | – |
| Owolabi et al. ( | 2006–2009 | Nigeria | Medical Wards | Retrospective | Paraplegia/Paraparesis | 98 | 40 (15) | 72 | 100 | 8~ |
| Ogunniyi et al. ( | 1988–1993 | Nigeria | Neurology/Neurosurgery | Retrospective | Spinal Cord Diseases | 104 | 45 (16) | 77 | 70 | 47 |
| Osuntokun ( | 1957–1969 | Nigeria | Neurology/Neurosurgery | Retrospective | Neurology patients | 9,600 | – | – | – | – |
| Jacquin-Cotton et al. ( | 1960–1969 | Senegal | Neuropsychiatric Hospital | Retrospective | Paraplegia | 457 | – | – | 100 | – |
| Ndiaye et al. ( | 1972–1987 | Senegal | Neurology/Neurosurgery | Retrospective | Compressive Lesions | 253 | 40–50 | – | – | |
| Kassegne et al. ( | 1998–2007 | Togo | Neurology ward | Retrospective | Spinal Cord Compression | 39 | 53 (22–79) | 77 | – | 15 |
| Balogou et al. ( | 1995–1999 | Togo | Campus Teaching Hospital | Retrospective | Paraplegia/Paraparesis | 243 | 38 (10–75) | 56 | – | – |
| Modi et al. ( | ~2010 | South Africa | Neurology/Neurosurgery | Prospective | Myelopathies | 100 | 6 | |||
| HIV positive | 50 | 35 (8.6) | 50 | 96 | – | |||||
| HIV negative | 50 | 53 (15.2) | 66 | 87 | – | |||||
| Bhigjee et al. ( | ~2000 | South Africa | Neurology Wards | Prospective | HIV positive with myelopathy | 33 | 39.8 | 39 | – | – |
Countries have been group by geographical region and in alphabetical order, paraplegias are presented as a proportion of paraplegia and quadriplegias, age is presented as mean (SD) or median (range), and time is presented as average time to presentation in weeks.
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Diagnostics utilized systematically in the studies on Non-Traumatic Myelopathy in Africa.
| Reference | Country | Spinal X-ray | Myelography | CT/CT myelography | MRI | Tissue histology | CSF microscopy | Full blood count | Serum VDRL | ESR | HIV Ab | Stool microscopy |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Zenebe ( | Ethiopia | X | X | – | – | X | X | – | – | X | X | – |
| Zenebe et al. ( | Ethiopia | X | 6% | – | – | 67% | X | – | – | – | – | – |
| Brown ( | Malawi | X | X | – | – | X | X | X | – | X | – | X |
| Naus et al. ( | Malawi | – | – | – | – | – | – | – | – | – | – | – |
| Leigh ( | Tanzania | X | 48% | – | – | 21% | X | X | – | – | – | – |
| Scrimgeour ( | Tanzania | 88% | 41% | – | – | Variable | 62% | X, | X, | X | – | X |
| Parry et al. ( | Zimbabwe | X | X | – | – | X | X | X | – | – | – | – |
| Mahomed and Gelfand ( | Zimbabwe | X | X | – | – | X | X | – | – | – | – | – |
| Looti et al. ( | Cameroon | X | 39% | 48% | – | X | X | X | – | – | X | – |
| Nyame ( | Ghana | X | X | – | – | 67% | X | X | X | X | – | X |
| Owolabi et al. ( | Nigeria | X | – | – | 26% | – | X | X | X | X | 82% | – |
| Ogunniyi et al. ( | Nigeria | X | X | 6% | 4% | Rarely | X | X | – | X | – | – |
| Osuntokun ( | Nigeria | – | – | – | – | – | – | – | – | – | – | – |
| Jacquin-Cotton et al. ( | Senegal | X | X | – | – | X | X | X | – | – | – | – |
| Ndiaye et al. ( | Senegal | X | X | – | – | X | X | X | – | – | – | – |
| Kassegne et al. ( | Togo | X | 5% | 90% | 5% | – | – | – | – | – | – | – |
| Balogou et al. ( | Togo | X | 37% | – | – | – | 227 | X | – | – | – | – |
| Modi et al. ( | South Africa | X | – | – | X | X | X | X | X | X | X | – |
| Bhigjee et al. ( | South Africa | – | – | – | X | – | X | X | X | – | X | – |
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VDRL, Venereal Disease Research Laboratory test; ESR, Erythrocyte Sedimentation Rate; HIV abs, HIV antibody assays; CSF, Cerebral spinal fluid; MRI, magnetic resonance imaging; CT, computed tomography. X means test done in all patients, – means test was not declared done in the methodology. Tissue histology by Biopsy.
Common diagnosis according to classification of the causes of Non-traumatic spinal cord injury in Sub-Saharan Africa.
| Reference | Country | African region | Number | Myelopathy number ( | Extramedullary myelopathy | Intramedullary myelopathy | Unclear etiology |
|---|---|---|---|---|---|---|---|
| Zenebe ( | Ethiopia | Eastern | 130 | 130 | 76 (58%) | 54 (42%) | 0 (0%) |
| Zenebe et al. ( | Ethiopia | Eastern | 164 | 142 | 110 (77%) | 32 (23%) | 0 (0%) |
| Brown ( | Malawi | Eastern | 102 | 94 | 68 (72%) | 23 (24%) | 3 (3%) |
| Naus et al. ( | Malawi | Eastern | 33 | 26 | 3 (12%) | 23 (88%) | 0 (0%) |
| Leigh ( | Tanzania | Eastern | 90 | 90 | 48 (53%) | 18 (20%) | 24 (27%) |
| Scrimgeour ( | Tanzania | Eastern | 100 | 96 | 69 (72%) | 15 (16%) | 12 (13%) |
| Parry et al. ( | Zimbabwe | Eastern | 159 | 148 | 105 (71%) | 31 (21%) | 12 (8%) |
| Mahomed and Gelfand ( | Zimbabwe | Eastern | 100 | 65 | 44 (68%) | 21 (32%) | 0 (0%) |
| Looti et al. ( | Cameroon | Western | 147 | 147 | 98 (67%) | 18 (12%) | 31 (21%) |
| Nyame ( | Ghana | Western | 64 | 55 | 39 (71%) | 11 (20%) | 5 (9%) |
| Owolabi et al. ( | Nigeria | Western | 98 | 85 | 52 (61%) | 19 (22%) | 14 (16%) |
| Ogunniyi et al. ( | Nigeria | Western | 108 | 108 | 73 (68%) | 31 (29%) | 4 (4%) |
| Osuntokun ( | Nigeria | Western | 9,600 | 1,536 | 750 (49%) | 707 (46%) | 79 (5%) |
| Jacquin-Cotton et al. ( | Senegal | Western | 457 | 312 | 123 (39%) | 48 (15%) | 141 (45%) |
| Ndiaye et al. ( | Senegal | Western | 253 | 251 | 238 (95%) | 13 (5%) | 0 (0%) |
| Kassegne et al. ( | Togo | Western | 39 | 39 | 39 (100%) | N/A | N/A |
| Balogou et al. ( | Togo | Western | 243 | 124 | 92 (75%) | 19 (15%) | 13 (10%) |
| Modi et al. ( | South Africa | Southern | 100 | 96 | 70 (73%) | 26 (27%) | 0 (0%) |
| Bhigjee et al. ( | South Africa | Southern | 33 | 33 | N/A | 32 (97%) | 1 (3%) |
| Summary, mean | Africa | All | 12,020 | 3,577 | 2,097 (58.6%) | 1,141 (31.9%) | 339 (9.5%) |
| Estimate 95% CI | 57.0–60.2% | 30.4–33.5% | 8.5–10.5% |
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Extramedullary causes of non-traumatic spinal cord injury.
| Reference | Country | Bone lesions | Non-bone lesions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| TB | Other infections | Primary neoplasm | Metastatic neoplasm | Epidural tumors | Hematologic neoplasm | Degenerative disorders | Intradural (extramedullary) | Congenital anomaly | |||
| Zenebe ( | Ethiopia | 130 | 35 (27%) | – | – | 14 (11%) | 1 (0.8%) | 6 (4.6%) | 13 (10%) | 7 (5.4%) | – |
| Zenebe et al. ( | Ethiopia | 142 | 77 (54%) | 2 (1.4%) | 1 (0.7%) | 11 (7.7%) | – | – | 8 (5.6%) | 11 (7.7%) | – |
| Brown ( | Malawi | 94 | 33 (35%) | 5 (5%) | 2 (2%) | 6 (6%) | 1 (1%) | 7 (7%) | 5 (5%) | 8 (8%) | 1 (1%) |
| Naus et al. ( | Malawi | 26 | – | – | – | – | – | 3 (12%) | – | – | – |
| Leigh ( | Tanzania | 90 | 13 (14%) | 10 (11%) | – | 11 (12%) | – | – | 14 (16%) | – | – |
| Scrimgeour ( | Tanzania | 96 | 54 (56%) | 2 (2%) | 2 (2%) | 8 (8%) | – | – | 2 (2%) | 1 (1%) | – |
| Parry et al. ( | Zimbabwe | 148 | 43 (29%) | 10 (7%) | 14 (9%) | 13 (9%) | 2 (1%) | – | 8 (5%) | 21 (14%) | 2 (1%) |
| Mahomed and Gelfand ( | Zimbabwe | 65 | 21 (32%) | 1 (1.5%) | 1 (1.5%) | 9 (14%) | – | 3 (4.6%) | 1 (1.5%) | 5 (7.7%) | 3 (4.6%) |
| Looti et al. ( | Cameroon | 147 | 19 (13%) | – | 5 (3.4%) | 25 (17%) | 4 (2.7%) | 21 (14%) | 6 (4.1%) | 17 (12%) | – |
| Nyame ( | Ghana | 55 | 19 (35%) | – | – | 3 (5.5%) | – | 6 (11%) | 10 (18%) | – | – |
| Owolabi et al. ( | Nigeria | 85 | 44 (52%) | – | – | 4 (4.7%) | – | 2 (2.4%) | 2 (2.4%) | – | – |
| Ogunniyi et al. ( | Nigeria | 108 | 26 (24%) | – | – | 8 (7.4%) | – | 6 (5.6%) | 31 (29%) | 2 (1.9%) | – |
| Osuntokun ( | Nigeria | 1,536 | 406 (23%) | 6 (0.3%) | – | 1 (0.1%) | 41 (2.3%) | – | 65 (3.6%) | 22 (1.2%) | 207 (13%) |
| Jacquin-Cotton et al. ( | Senegal | 312 | 61 (18%) | 16 (4.7%) | 5 (1.5%) | 24 (7.1%) | – | 5 (1.5%) | 7 (2.1%) | 5 (1.5%) | – |
| Ndiaye et al. ( | Senegal | 251 | N/A | 54 (22%) | 21 (8.4%) | 97 (39%) | 37 (15%) | – | – | 22 (8.8%) | 4 (1.6%) |
| Kassegne et al. ( | Togo | 39 | 7 (18%) | – | – | 17 (44%) | – | – | 15 (38%) | – | – |
| Balogou et al. ( | Togo | 124 | 17 (14%) | – | 10 (8.1%) | 23 (19%) | – | – | 42 (34%) | – | – |
| Modi et al. ( | South Africa | 96 | 30 (31%) | – | – | 17 (18%) | – | 6 (6.1%) | 15 (16%) | 2 (2%) | – |
| Bhigjee et al. ( | South Africa | 33 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Summary | 3,577 | 905 (25%) | 106 (3.1%) | 61 (1.7%) | 291 (8%) | 86 (2.4%) | 65 (1.8%) | 244 (6.8%) | 123 (3.4%) | 217 (6.1%) | |
Numbers represent .
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Other causes reported included: metabolic bone diseases were reported as etiologies in four persons: .
Intramedullary causes of non-traumatic spinal cord injury.
| Reference | Country | Neoplastic intramedullary | Transverse myelopathy unclassified | Infection | Inflammatory/autoimmune | Vascular disorders | Nutrition | Miscellaneous causes | |
|---|---|---|---|---|---|---|---|---|---|
| Zenebe ( | Ethiopia | 130 | 3 (2.3%) | 29 (22%) | 18 (14%) | – | – | 1 (0.8%) | 6 (2.3%) |
| Zenebe et al. ( | Ethiopia | 142 | 10 (7%) | 4 (2.8%) | 16 (11%) | – | 2 (1.4%) | – | – |
| Brown ( | Malawi | 94 | – | 7 (7.1%) | 6 (6.4%) | 1 (1%) | – | 3 (3%) | 6 (6.1%) |
| Naus et al. ( | Malawi | 26 | – | – | 23 (88%) | – | – | – | – |
| Leigh ( | Tanzania | 90 | 4 (4.4%) | 6 (6.7%) | 4 (4.4%) | – | 4 (4.4%) | – | – |
| Scrimgeour ( | Tanzania | 96 | 2 (2.1%) | 1 (1%) | 12 (13%) | – | – | – | – |
| Parry et al. ( | Zimbabwe | 148 | – | 17 (12%) | 3 (2%) | – | 3 (2%) | 2 (1.3%) | 3 (2%) |
| Mahomed and Gelfand ( | Zimbabwe | 65 | 1 (1.5%) | 15 (23%) | 4 (6.2%) | – | – | – | 1 (1.5%) |
| Looti et al. ( | Cameroon | 147 | 4 (2.7%) | 6 (4.1%) | 7 (4.8%) | – | – | – | 1 (0.7%) |
| Nyame ( | Ghana | 55 | – | 7 (13%) | – | – | – | – | 4 (7.3%) |
| Owolabi et al. ( | Nigeria | 85 | – | 15 (18%) | – | – | 1 (1.2%) | 3 (3.5%) | 0 |
| Ogunniyi et al. ( | Nigeria | 108 | – | 9 (8.3%) | 3 (2.8%) | – | – | 13 (12%) | 6 (5.6%) |
| Osuntokun ( | Nigeria | 1,536 | – | 22 (1.2%) | Polio only | 109 (6.1%) | 6 (0.3%) | 486 (27%) | 84 (4.7%) |
| Jacquin-Cotton et al. ( | Senegal | 312 | 3 (0.9%) | – | 4 (1.3%) | 7 (2.1%) | 8 (2.4%) | 1 (0.3%) | 25 (7.4%) |
| Ndiaye et al. ( | Senegal | 251 | 11 (4.4%) | – | – | – | 2 (0.8%) | – | – |
| Kassegne et al. ( | Togo | 39 | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Balogou et al. ( | Togo | 124 | – | 13 (10.5%) | – | 2 (1.6%) | – | – | 4 (3.2%) |
| Modi et al. ( | South Africa | 96 | 1 (1%) | 12 (12%) | 4 (4%) | 7 (7.1%) | 1 (1%) | 1 (1%) | – |
| Bhigjee et al. ( | South Africa | 33 | – | 2 (6.1%) | 30 (91%) | – | – | – | – |
| Summary | 3,577 | 39 (1.1%) | 165 (4.6%) | 134 (3.7%) | 126 (3.5%) | 27 (0.8%) | 510 (14.3%) | 140 (3.9%) |
N* Excludes trauma, functional, “other causes of weakness,” and polio from the denominator for non-traumatic myelopathy etiologies.
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Intramedullary infections.
| Reference | Total infection | HTLV | Syphilis | VZV | Schistosomiasis | TB | ||
|---|---|---|---|---|---|---|---|---|
| Zenebe ( | Ethiopia | 130 | 18 (14%) | 18 | – | – | – | – |
| Zenebe et al. ( | Ethiopia | 142 | 16 (11%) | 16 | – | – | – | – |
| Brown ( | Malawi | 94 | 6 (6.4%) | – | 6 | – | – | – |
| Naus et al. ( | Malawi | 26 | 23 (88%) | 2 | – | – | 16 | 4 |
| Leigh ( | Tanzania | 90 | 4 (4.4%) | – | – | – | – | 4 |
| Scrimgeour ( | Tanzania | 96 | 12 (13%) | 2 | 4 | – | 6 | – |
| Parry et al. ( | Zimbabwe | 148 | 3 (2%) | – | 1 | – | 1 | – |
| Mahomed and Gelfand ( | Zimbabwe | 65 | 4 (6.2%) | – | 2 | – | – | – |
| Looti et al. ( | Cameroon | 147 | 7 (4.8%) | 7 | – | – | – | – |
| Nyame ( | Ghana | 55 | – | – | – | – | – | – |
| Owolabi et al. ( | Nigeria | 85 | – | – | – | – | – | – |
| Ogunniyi et al. ( | Nigeria | 108 | 3 (2.8%) | – | – | 1 | – | – |
| Jacquin-Cotton et al. ( | Senegal | 312 | 4 (1.3%) | – | 4 | – | – | – |
| Ndiaye et al. ( | Senegal | 251 | – | – | – | – | – | – |
| Kassegne et al. ( | Togo | 39 | – | – | – | – | – | – |
| Balogou et al. ( | Togo | 124 | – | – | – | – | – | – |
| Modi et al. ( | South Africa | 96 | 4 (4%) | 1 | – | 2 | – | – |
| Bhigjee et al. ( | South Africa | 33 | 30 (91%) | 12 | 2 | 3 | 2 | 6 |
| Summary | 134 | 58 (43%) | 19 (14%) | 6 (4.4%) | 25 (19%) | 14 (10%) |
N* Excludes trauma, functional, “other causes of weakness,” and polio from the denominator for non-traumatic myelopathy etiologies.
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This table presents the proportion of patients with intramedullary infections. All cases of tropical spastic paraparesis were categorized under HTLV. The denominator used in this calculation was total number of patients with infections. No intramedullary infectious etiologies were identified in five studies (.
Figure 3The graph shows age versus diagnosis: 1, TB; 2, primary tumors; 3, metastatic disease; 4, degenerative conditions; 5, TM; 6, HIV myelopathy.
Figure 2Proposed diagnostic algorithm for non-traumatic spinal cord injury. Proposed diagnostic Algorithm of a patient who presents with non-traumatic myelopathy from the first contact with the health system in the sub-Saharan Africa. CT, computerized tomography; MRI, magnetic resonance imaging; VDRL, Venereal Disease Research Laboratory; PCR, polymerase chain reaction; CSF, cerebral spinal fluid; Hep B, hepatitis B antigen.