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

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: 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: 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: 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.

Clinical presentation, case management and outcomes for the first 32 COVID-19 patients in Nigeria.

INTRODUCTION: Success in curtailing the pandemic coronavirus disease (COVID-19) depends largely on a sound understanding of the epidemiologic and clinical profile of cases in a population as well as the case management approach. This study documents the presenting characteristics, treatment modalities and outcomes of the first 32 COVID-19 patients in Nigeria. METHODS: This retrospective study used medical records of the first 32 patients admitted and discharged from the Mainland Hospital, Lagos State, southwest Nigeria between February 27 and April 6, 2020. The outcomes of interest were death, promptness of admission process and duration of hospitalization. RESULTS: The mean age of the patients was 38.1 years (SD: 15.5) and 66% were male. Three-quarters (75%) of the patients presented in moderately severe condition while 16% were asymptomatic. The most common presenting symptoms were fever (59%) and dry cough (44%). The mean time between a positive test result and admission was 1.63 days (SD: 1.31). Almost all (97%) the patients were treated with lopinavir-ritonavir with no recorded death. The median duration of hospital stay was 12 days (IQR: 9-13.5). CONCLUSION: In this preliminary analysis of the first COVID-19 cases in Nigeria, clinical presentation was mild to moderate with no mortality. Processes to improve promptness of admission and reduce hospital stay are required to enhance the response to COVID-19 in Nigeria.