Predictive ability of symptomatology in COVID-19 during Active case search in Lagos State, Nigeria.


Journal

The Nigerian postgraduate medical journal
ISSN: 1117-1936
Titre abrégé: Niger Postgrad Med J
Pays: Nigeria
ID NLM: 9613595

Informations de publication

Date de publication:
Historique:
entrez: 6 11 2020
pubmed: 7 11 2020
medline: 12 11 2020
Statut: ppublish

Résumé

In April 2020, a community-based active case search surveillance system of coronavirus disease 2019 (COVID-19) was developed by the emergency outbreak committee in Lagos State. This followed the evidence of community transmission of coronavirus disease in the twenty Local Government Areas in Lagos State. This study assessed the value of respiratory and other symptoms in predicting positive SARS-CoV-2 using reverse transcription-polymerase chain reaction (RT-PCR). It is hoped that if symptoms are predictive, they can be used in screening before testing. Communities were included based on the alerts from community members through the rumour alert system set up by the state. All members of the households of the communities from where the alert came were eligible. Household members who declined to participate were excluded from the study. A standardised interviewer-administered electronic investigation form was used to collect sociodemographic information, clinical details and history for each possible case. Data was analysed to see the extent of agreement or correlation between reported symptoms and the results of PCR testing for SARS-COV-2. A total of 12,739 persons were interviewed. The most common symptoms were fever, general weakness, cough and difficulty in breathing. Different symptoms recorded different levels of sensitivity as follows: fever, 28.9%; cough, 21.7%; general body weakness, 10.9%; and sore throat, 10.9%. Sensitivity and specificity for fever, the most common symptom, were 28.3% and 50.2%, respectively, while similar parameters for general body weakness, the next most common symptom, were 10.9% and 73.2%, respectively. From these findings, the predictive ability of symptoms for COVID-19 diagnosis was extremely weak. It is unlikely that symptoms alone will suffice to predict COVID-19 in a patient. An additional measure, such as confirmatory test by RT-PCR testing, is necessary to confirm the disease.

Sections du résumé

BACKGROUND BACKGROUND
In April 2020, a community-based active case search surveillance system of coronavirus disease 2019 (COVID-19) was developed by the emergency outbreak committee in Lagos State. This followed the evidence of community transmission of coronavirus disease in the twenty Local Government Areas in Lagos State. This study assessed the value of respiratory and other symptoms in predicting positive SARS-CoV-2 using reverse transcription-polymerase chain reaction (RT-PCR). It is hoped that if symptoms are predictive, they can be used in screening before testing.
METHODS METHODS
Communities were included based on the alerts from community members through the rumour alert system set up by the state. All members of the households of the communities from where the alert came were eligible. Household members who declined to participate were excluded from the study. A standardised interviewer-administered electronic investigation form was used to collect sociodemographic information, clinical details and history for each possible case. Data was analysed to see the extent of agreement or correlation between reported symptoms and the results of PCR testing for SARS-COV-2.
RESULTS RESULTS
A total of 12,739 persons were interviewed. The most common symptoms were fever, general weakness, cough and difficulty in breathing. Different symptoms recorded different levels of sensitivity as follows: fever, 28.9%; cough, 21.7%; general body weakness, 10.9%; and sore throat, 10.9%. Sensitivity and specificity for fever, the most common symptom, were 28.3% and 50.2%, respectively, while similar parameters for general body weakness, the next most common symptom, were 10.9% and 73.2%, respectively.
CONCLUSION CONCLUSIONS
From these findings, the predictive ability of symptoms for COVID-19 diagnosis was extremely weak. It is unlikely that symptoms alone will suffice to predict COVID-19 in a patient. An additional measure, such as confirmatory test by RT-PCR testing, is necessary to confirm the disease.

Identifiants

pubmed: 33154279
pii: NigerPostgradMedJ_2020_27_4_280_299910
doi: 10.4103/npmj.npmj_237_20
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

280-284

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Déclaration de conflit d'intérêts

None

Auteurs

Oluwatosin Onasanya (O)

Lagos State Primary Healthcare Board, Lagos, Nigeria.

Bisola Adebayo (B)

Lagos State University College of Medicine, Lagos, Nigeria.

Ladun Okunromade (L)

Nigerian Centre for Disease Control, Lagos, Nigeria.

Akin Abayomi (A)

Lagos State Ministry of Health, Lagos, Nigeria.

Jide Idris (J)

Lagos State Ministry of Health, Lagos, Nigeria.

Abdulsalam Adesina (A)

Lagos State Ministry of Health, Lagos, Nigeria.

Olugbemiga Aina (O)

Lagos State Primary Healthcare Board, Lagos, Nigeria.

Emmanuella Zamba (E)

Lagos State Health Management Agency, Lagos, Nigeria.

Olufemi Erinosho (O)

Lagos State University Teaching Hospital, Lagos, Nigeria.

Bimbola Bowale (B)

Mainland Hospital, Yaba Lagos State, Lagos, Nigeria.

Folarin Opawoye (F)

Lagos University Teaching Hospital, Lagos, Nigeria.

Patrick Ramadan (P)

World Health Organisation, Nigerian Office, Lagos, Nigeria.

Sam Yenyi (S)

World Health Organisation, Nigerian Office, Lagos, Nigeria.

Sunday Omilabu (S)

College of Medicine, University of Lagos, Lagos, Nigeria.

Shakir Balogun (S)

African Field Epidemiology Network, Lagos, Nigeria.

Akin Osibogun (A)

College of Medicine, University of Lagos, Lagos, Nigeria.

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