| Literature DB >> 31798807 |
Kenneth Onyedibe1, Joshua Dawurung2, Michael Iroezindu3, Nathan Shehu4, Mark Okolo1, Emmanuel Shobowale5, Tolulope Afolaranmi6, Samuel Dahal1, Yadang Maktep1, Peter Pama1, Samson Isa4, Daniel Egah1.
Abstract
BACKGROUND: In Nigeria, where malaria is endemic, greater than 70% of febrile illnesses are treated presumptively as malaria, often without a laboratory evaluation for other possible causes of fever. This cross-sectional study evaluated the presence of dengue virus infection in febrile patients, presumptively diagnosed of malaria infections in the clinic.Entities:
Keywords: Dengue; Febrile illness; Jos; Maiduguri; Malaria; Nigeria
Mesh:
Substances:
Year: 2018 PMID: 31798807 PMCID: PMC6863422 DOI: 10.4314/mmj.v30i4.11
Source DB: PubMed Journal: Malawi Med J ISSN: 1995-7262 Impact factor: 0.875
Proportions of dengue virus infection in febrile patients studied in Jos and Maiduguri, Nigeria using both serology and duration of fever
| Patient Classification | Serologic finding | Study location | ||
| Total (n=529) | Jos(n=246) | Maiduguri (n=283) | ||
| Confirmed Dengue | Positive IgM + PositiveNS1 Ag | 12 (2.3) | 7 (2.9) | 5 (1.8) |
| Highly Suggestive of Dengue | Negative IgM + Positive NS1 Ag | 6 (1.1) | 4 (1.6) | 2 (0.7) |
| Positive IgM + Positive NS1 Ag | 1 (0.002) | 1 (0.004) | 0 (0.0) | |
| Positive IgM + Negative NS1 Ag | 22 (4.2) | 16 (6.5) | 6 (2.1) | |
| Probable Dengue | Positive IgM + Negative NS1 Ag | 7 (0.01) | 5 (0.02) | 2 (0.007) |
| Negative IgM + Positive NS1 Ag | 1 (0.002) | 1 (0.004) | 0 (0.0) | |
| Anti-flavirus IgG Positive | Positive IgG only | 23 (4.4) | 10 (4.1) | 13 (4.6) |
| Anti-flavivirus IgM | Positive IgM and IgG | 39 (7.4) | 22 (8.9) | 17 (6.0) |
| No Dengue Infection | Negative for all dengue serologic | 418 (79.0) | 180 (73.2) | 238 (84.1) |
Demographic characteristics of all the patients studied for dengue virus and malaria infection in Jos and Maiduguri, Nigeria
| Study Location | |||||
| Demographic | Jos (n = 246) | Maiduguri (n = 283) | df | χ2 | p-value |
| Sex | |||||
| Male | 81 (32.9) | 98 (34.6) | 0.17 | 1 | 0.680 |
| Female | 165 (67.1) | 185 (65.4) | |||
| Location | |||||
| Rural | 174 (70.7) | 78 (27.6) | 98.32 | 1 | <0.001 |
| Urban | 72 (29.3) | 205 (72.4) | |||
| Age (mean ± SD) | 21.4 ± 18.0 | 33.4 ± 13.8 | <0.001 | ||
| Age categorization | |||||
| Children (< 18yrs) | 130 (52.9) | 42 (14.8) | 86.63 | 1 | < 0.001 |
| Adult (≥18yrs) | 116 (47.1) | 241 (85.2) | |||
| Age group (yrs) | |||||
| < 18 | 130 (58.9) | 42 (14.8) | |||
| 18 – 27 | 38 (15.4) | 65 (23.0) | 95.74 | 5 | < 0.001 |
| 28 – 37 | 32 (13.0) | 86 (30.4) | |||
| 38 – 47 | 25 (10.2) | 62 (21.9) | |||
| 48 – 57 | 16 (6.5) | 13 (4.6) | |||
| 58 and above | 5 (2.0) | 15 (5.3) | |||
Figure 1 (a)Distribution of dengue serology among febrile patients (entire study population, N=529)
Figure 1bDistribution of dengue serology among malaria smear negative febrile patients, N=412
Figure 1b shows that from the 77.9% (412/529) clinically misdiagnosed for malaria, 10.2%(42/412) either had a confirmed, highly suggestive or probable dengue serology and a total antiflavivirus + dengue serology of 20.1% (83/412) amongst the malaria smear negative patients
Figure 1 (c)Distribution of dengue fever/antiflavivirus categories in relation to malaria parasitemia
Fig 1c shows that the percentages of confirmed, highly suggestive or probabledengue were much higher in patients that were malaria blood smear negative (red) compared to patients with a positive malaria blood smear (blue).