| Literature DB >> 34941667 |
Gasim Omer Elkhalifa Abd-Elfarag1, Arthur Wouter Dante Edridge1,2, René Spijker3, Mohamed Boy Sebit4, Michaël B van Hensbroek1.
Abstract
Nodding syndrome (NS) is a debilitating yet often neglected neurological disease affecting thousands of children in several sub-Saharan African countries. The cause of NS remains unknown, and effective treatment options are lacking. Moreover, knowledge regarding NS is scarce and is based on a limited number of publications, with no comprehensive overview published to date. Therefore, the aim of this scoping review was to summarise the current evidence and identify existing knowledge gaps in order to help clinicians, scientists, and policymakers develop guidelines for prioritising this severe condition. We searched the Medline (Ovid), Embase (Ovid), Scopus, and Global Health Library databases in accordance with the PRISMA extension for scoping review guidance and in accordance with the Joanna Briggs Institute guidelines and methodology for a scoping review, using keywords describing NS. We then extracted and presented the original data regarding the epidemiology, aetiology, pathophysiology, clinical features, diagnosis, management, and outcomes of NS, as well as community perceptions and the psychosocial and economic impact of NS. Out of 1470 identified articles, a total of 69 were included in this scoping review. Major gaps exist in understanding the aetiology and pathogenesis of NS. Future research is urgently needed not only to address these gaps, but also to study the treatment options, epidemiology, and psychosocial and economic impacts of NS. Innovative interventions and rehabilitation programmes designed to address the psychosocial and economic burdens associated with NS are also urgently needed.Entities:
Keywords: disease; nodding syndrome; sub-Saharan Africa
Year: 2021 PMID: 34941667 PMCID: PMC8703395 DOI: 10.3390/tropicalmed6040211
Source DB: PubMed Journal: Trop Med Infect Dis ISSN: 2414-6366
Inclusion and exclusion criteria.
| Inclusion Criteria | Exclusion Criteria | |
|---|---|---|
| Study design and population | All study designs of persons with nodding syndrome (according to clinical case definition [ | Studies of known epilepsies other than NS and other known neurodegenerative diseases |
| Publications | All publications: Commentaries, editorials, letters, books, book chapters, dissertations, and conference proceedings with primary/original study data | Studies with nonprimary data |
| Outcome | Epidemiology, aetiology, pathophysiology, clinical features, diagnosis, and treatment of NS; community perceptions and the socioeconomic impact of NS | |
| Language, year, and country | English publications from 1946 onward, from any country |
Search strategy.
| Database | Search Terms |
|---|---|
| Embase | #1. ‘nodding syndrome’/exp |
| Medline | #1. exp Nodding Syndrome/ |
| Scopus | TITLE-ABS-KEY ((nodding AND near/2 (head OR disease OR syndrome)) OR ‘river AND epilepsy’ OR (onchocerc* AND (nodding OR epileps* OR seizure*))) |
| Global Health Library | ab:(nodding AND (disease OR syndrome OR head) OR ‘river epilepsy’ OR (onchocerc * and (nodding or epilepsy * or seizure *))) |
Figure 1PRISMA flow chart depicting the search strategy and selection of studies. Note that the number of studies that reported all six outcomes totals more than 69, as some studies reported multiple outcomes.
Figure 2Overview of the study characteristics. * These numbers total more than the number of included papers, as some papers reported data for more than one country or reported more than one study type. DRC: Democratic Republic of Congo; WHO: World Health Organization.
Figure 3African countries in which cases of NS have been reported, including the first year in which they were reported. The inset shows the reported prevalence of NS in the indicated countries.
Case–control studies reporting associations between pathogens and nodding syndrome.
| Pathogen | Location | Test | Cases | Controls | Odds Ratio (95% CI) | Reference | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Country | Area (Year) | N | % | N | % | |||||
|
| South Sudan | Lui (2001) | SSM | 39 | 89.7 | 31 | 48.3 | 9.2 (2.7–3.26) | 0.00003 | [ |
| Amadi (2001) | SSM | 30 | 96.7 | 34 | 50 | 29 (3.5–237.7) | - | [ | ||
| Lui (2002) | SSM | 13 | 92.3 | 16 | 43.7 | 15.4 (1.6–148.8) | 0.008 | [ | ||
| Maridi and Witto (2011) | SSM | 38 | 76.3 | 38 | 47.4 | 3.2 (1.2–8.7) | 0.02 | [ | ||
| Uganda | Kitgum (2009) | SSM | 45 | 71.1 | 39 | 53.9 | 1.11 (0.37–3.27) | - | [ | |
| Ov16 IgG | 39 | 66.7 | 44 | 31.8 | 3.14 (1.08–9.13) | - | ||||
| OvFAR/MSA | 39 | 94.9 | 41 | 48.8 | 14.4 (2.65–78.3) | |||||
| Kitgum and Pader (2016/17) | Ov16 IgG | 154 | 93.5 | 153 | 54.9 | 8.79 (4.15–18.65) | 0.001 | [ | ||
|
| South Sudan | Lui (2001) | BM | 39 | 41 | 31 | 9.6 | 3.2 | 0.005 | [ |
| Amadi (2001) | BM | 30 | 66.6 | 34 | 50 | |||||
|
| South Sudan | Lui and Amadi (2001) | BM | 69 | 0 | 65 | 0 | - | - | [ |
|
| South Sudan | Lui (2001) | BM | 39 | 0 | 31 | 9 | - | 0.47 | [ |
| Amadi (2001) | 30 | 0 | 34 | 7.6 | - | |||||
|
| South Sudan | Lui (2021) | CATT | 39 | 12.8 | 31 | 9.6 | 0.84 | 0.94 | [ |
| Amadi (2001) | 30 | 0 | 34 | 5.8 | ||||||
| Uganda | Kitgum (2009) | CATT | 36 | 0 | 40 | 0 | - | - | [ | |
|
| Uganda | Kitgum (2009) | Antibody | 36 | 0 | 40 | 0 | - | - | [ |
| Measles virus | Uganda | Kitgum (2009) | Past history | 23.5 | 6.1 | 3.3 (0.8–13.6) | [ | |||
| PCR | 16 | 0 | 0 | - | - | - | ||||
| South Sudan | Lui and Amadi (2002) | Past history | 13 | 15.38 | 19 | 58 | 0.13 | 0.025 | [ | |
| Uganda | Kitgum (2014) | Past history | 50 | 100 | 50 | - | 6 (1.02–113) | 0.047 | [ | |
| Hepatitis E virus | Kitgum (2009) | IgM | 38 | 31.6 | 31 | 16.1 | 1.45 (0.37–5.58) | - | [ | |
| IgG | 38 | 26.3 | 30 | 33.3 | 0.81 (0.24–2.75) | - | ||||
SSM: skin snip microscopy; BM: blood microscopy; CATT: card agglutination test.
Case–control studies that studied nutritional deficiencies in nodding syndrome.
| Micronutrient | Location | Cases | Controls | Odds Ratio (95% CI) | Reference | ||||
|---|---|---|---|---|---|---|---|---|---|
| Country | Area (Year) | N | % | N | % | ||||
| Vitamin B6 (P5P) | Uganda | Gulu & Amuru district (2013) | 66 | 73 | 7.22 (2.24–23.26) | 0.001 | [ | ||
| Uganda | Kitgum (2009) | 49 | 73 | 42 | 64 | 1.22 (0.41–3.59) | - | [ | |
| Uganda | - | 3 | 100 | 5 | 100 | - | - | [ | |
| Vitamin A | Uganda | Kitgum (2009) | 25 | 40 | 12 | 33 | 2.15 (0.41–11.12) | - | [ |
| Vitamin B12 | Uganda | Kitgum (2009) | 25 | 8 | 12 | 8 | 1.46 (0.09–22.82) | - | [ |
| Folate | Uganda | Kitgum (2009) | 11 | 9 | 9 | 0 | - | - | [ |
| Zinc | Uganda | Kitgum (2009) | 17 | 47 | 12 | 67 | 0.72 (0.13–3.94) | - | [ |
| Selenium | Uganda | Kitgum (2009) | 17 | 100 | 12 | 100 | - | - | [ |
P5P: pyridoxal-5-phosphate; PL: plasma level. Note: all nutrients were measured as plasma levels.
Case–control studies reporting associations between toxins and nodding syndrome.
| Toxins | Location | Test | Cases | Controls | Odds Ratio (95% CI) | Reference | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Country | Area (Year) | N | % | N | % | |||||
| Mouldy maize | Uganda | Kitgum (2014) | DtH | 50 | 50 | 4.33 (1.4–18.9) | 0.009 | [ | ||
| Maize | Uganda | Kitgum (2014) | DtH | 50 | 50 | 4 (1.0–26.5) | 0.05 | [ | ||
| Emergency/relief food supplies | Uganda | Kitgum (2014) | DtH | 47 | 50 | 4 (1.3–17.6) | 0.016 | [ | ||
| Gulu and Amuru (2016) | DtH | 40 | 67 | 18 | 27 | 4.05 (1.23–13.28) | 0.021 | [ | ||
| Red/brown sorghum | South Sudan | Mundri (2002) | DtH | 13 | 54 | 19 | 16 | 6.22 (1.2–32.3) | 0.049 | [ |
| Uganda | Kitgum (2009) | DtH | - | 98 | - | 100 | 1.3 (0.0–125.9) | - | [ | |
| Spoiled relief food | Uganda | Kitgum (2009) | DtH | - | 43 | - | 47 | 0.3 (0.1–1.3) | - | [ |
| Seeds meant for planting | Uganda | Kitgum (2009) | DtH | - | 61 | - | 65 | 0.6 (0.1–2.3) | - | [ |
| South Sudan | Mundri (2002) | DtH | - | - | - | - | 5 (0.82–30.4) | 0.11 | [ | |
| River fish | Uganda | Kitgum (2009) | DtH | - | 96 | - | 100 | 0.3 (0.0–11.6) | - | [ |
| Insects | Uganda | Kitgum (2009) | DtH | - | 41 | - | 33 | 0.8 (0.2–2.9) | - | [ |
| Rodent brain | Uganda | Kitgum (2009) | DtH | - | 55 | - | 51 | 1.8 (0.3–12.3) | - | [ |
| Baboon brain | South Sudan | Mundri (2002) | DtH | - | - | - | - | 3 (0.63–14.2) | 0.25 | [ |
| Baboon meat | South Sudan | Mundri (2002) | DtH | - | - | - | - | 4.5 (0.97–20.8) | 0.07 | [ |
| Crushed roots as traditional medicines | Uganda | Kitgum (2009) | DrH | - | 39 | - | 16 | 5.4 (1.3–22.1) | - | [ |
| Uganda | Kitgum (2014) | DrH | 50 | - | 50 | - | 1.29 (0.47–3.6) | 0.617 | [ | |
| Crushed leaves | Uganda | Kitgum (2009) | DrH | - | 8 | - | 2 | 3.4 (0.2–45.8) | - | [ |
| Crushed flowers | Uganda | Kitgum (2009) | DrH | - | 0 | - | 2 | 0.9 (0.1–5.6) | - | [ |
| Inhaled medicines | Uganda | Kitgum (2009) | DrH | - | 2 | - | 0 | 0.2 (0.0–1.5) | - | [ |
| Exposure to chemicals from munitions | Uganda | Kitgum (2009) | EH | - | 70 | - | 51 | 13.9 (1.4–135) | - | [ |
DtH: dietary history; DrH: drug history; EH: exposure history.
The 2013 modified consensus case definition for NS.
| Suspected Case: | Reported Head Nodding in a Previously Healthy Person. Head Nodding Is Defined as Repetitive, Involuntary Drops of the Head towards the Chest on Two or More Occasions |
|---|---|
| Probable case | Suspected case of head nodding, with one major criterion plus at least one minor criterion 3–18 years of age at the onset of nodding Other neurological abnormalities (cognitive decline, school dropout due to cognitive/behavioural problems, other seizures or neurological abnormalities) Clustering in space or time with similar cases Triggered by food or cold weather Stunting or wasting Psychiatric manifestations |
| Confirmed case | Probable case, with documented head-nodding episodes based on: Observation and recording by a trained healthcare worker, or A videotaped head-nodding episode, or |