| Literature DB >> 35134062 |
Amary Fall1, Sebastien Kenmoe2,3, Jean Thierry Ebogo-Belobo4, Donatien Serge Mbaga5, Arnol Bowo-Ngandji5, Joseph Rodrigue Foe-Essomba6, Serges Tchatchouang7, Marie Amougou Atsama8, Jacqueline Félicité Yéngué9, Raoul Kenfack-Momo10, Alfloditte Flore Feudjio10, Alex Durand Nka11, Chris Andre Mbongue Mikangue5, Jean Bosco Taya-Fokou5, Jeannette Nina Magoudjou-Pekam10, Efietngab Atembeh Noura4, Cromwel Zemnou-Tepap10, Dowbiss Meta-Djomsi8, Martin Maïdadi-Foudi8, Ginette Irma Kame-Ngasse4, Inès Nyebe5, Larissa Gertrude Djukouo10, Landry Kengne Gounmadje10, Dimitri Tchami Ngongang5, Martin Gael Oyono9, Cynthia Paola Demeni Emoh5, Hervé Raoul Tazokong5, Gadji Mahamat5, Cyprien Kengne-Ndé12, Serge Alain Sadeuh-Mba2, Ndongo Dia1, Giuseppina La Rosa13, Lucy Ndip3, Richard Njouom2.
Abstract
A substantial amount of epidemiological data has been reported on Enterovirus D68 (EV-D68) infections after the 2014 outbreak. Our goal was to map the case fatality rate (CFR) and prevalence of current and past EV-D68 infections. We conducted a systematic review (PROSPERO, CRD42021229255) with published articles on EV-68 infections in PubMed, Embase, Web of Science and Global Index Medicus up to January 2021. We determined prevalences using a model random effect. Of the 4,329 articles retrieved from the databases, 89 studies that met the inclusion criteria were from 39 different countries with apparently healthy individuals and patients with acute respiratory infections, acute flaccid myelitis and asthma-related diseases. The CFR estimate revealed occasional deaths (7/1353) related to EV-D68 infections in patients with severe acute respiratory infections. Analyses showed that the combined prevalence of current and past EV-D68 infections was 4% (95% CI = 3.1-5.0) and 66.3% (95% CI = 40.0-88.2), respectively. The highest prevalences were in hospital outbreaks, developed countries, children under 5, after 2014, and in patients with acute flaccid myelitis and asthma-related diseases. The present study shows sporadic deaths linked to severe respiratory EV-D68 infections. The study also highlights a low prevalence of current EV-D68 infections as opposed to the existence of EV-D68 antibodies in almost all participants of the included studies. These findings therefore highlight the need to implement and/or strengthen continuous surveillance of EV-D68 infections in hospitals and in the community for the anticipation of the response to future epidemics.Entities:
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Year: 2022 PMID: 35134062 PMCID: PMC8824346 DOI: 10.1371/journal.pntd.0010073
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Flow diagram summarizing the selection of eligible studies.
Fig 2Global distribution, case fatality rate, and prevalence estimate of Enterovirus D68 current and past infections.
The figures represent from top to bottom: the Enterovirus D68 case fatality rate and the prevalence of Enterovirus D68 current and past infections. Map source: https://www.datawrapper.de/basemaps/world/.
Fig 3The pooled global case fatality rate of Enterovirus D68.
Fig 4The pooled global prevalence of Enterovirus D68 current infections.
Fig 5The pooled global prevalence of Enterovirus D68 past infections.
Summary of meta-analysis results for global case fatality rate and prevalence of Enterovirus D68 in humans.
| Prevalence. % (95%CI) | 95% Prediction interval | N Studies | N Participants | P heterogeneity | P Egger test | |||
|---|---|---|---|---|---|---|---|---|
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| Overall | 0 [0–0.2] | [0–1] | 10 | 1353 | 1.2 [1–1.7] | 27.5 [0–65.2] | 0.191 | 0.343 |
| Cross-sectional | 0 [0–0.1] | [0–0.5] | 7 | 1271 | 1.1 [1–1.5] | 14.7 [0–58.4] | 0.318 | 0.862 |
| Low risk of bias | 0 [0–0.7] | [0–1.4] | 5 | 587 | 1 [1–1.8] | 0 [0–70.6] | 0.586 | 0.345 |
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| Overall | 4.1 [3.1–5.1] | [0–18.1] | 107 | 204351 | 9.9 [9.6–10.3] | 99 [98.9–99.1] | < 0.001 | < 0.001 |
| Cross-sectional | 3.8 [2.9–4.8] | [0–17.6] | 102 | 199378 | 10.1 [9.7–10.4] | 99 [98.9–99.1] | < 0.001 | < 0.001 |
| Low risk of bias | 2.4 [1.7–3.3] | [0–11.2] | 55 | 165151 | 9.6 [9.1–10.1] | 98.9 [98.8–99] | < 0.001 | 0.002 |
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| Overall | 77.7 [52.8–95] | [0.6–100] | 6 | 2955 | 13.8 [12.2–15.7] | 99.5 [99.3–99.6] | < 0.001 | 0.521 |
| Cross-sectional | 93.2 [74.5–100] | [0–100] | 4 | 2648 | 13.3 [11.2–15.7] | 99.4 [99.2–99.6] | < 0.001 | 0.540 |
| Low risk of bias | 77.7 [52.8–95] | [0.6–100] | 6 | 2955 | 13.8 [12.2–15.7] | 99.5 [99.3–99.6] | < 0.001 | 0.521 |
CI: confidence interval; N: Number; 95% CI: 95% Confidence Interval; NA: not applicable.
¶H is a measure of the extent of heterogeneity, a value of H = 1 indicates homogeneity of effects and a value of H >1indicates a potential heterogeneity of effects.
§: I2 describes the proportion of total variation in study estimates that is due to heterogeneity, a value > 50% indicates presence of heterogeneity