Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
BMC Infect Dis ; 24(1): 504, 2024 May 21.
Article in English | MEDLINE | ID: mdl-38769524

ABSTRACT

BACKGROUND: While numerous studies have evaluated the real-world performance of rapid antigen tests (RATs), data on the effect of Omicron sublineages such as XBB and reinfections on RAT performance is limited. We assessed the performance of RATs and factors associated with RAT-negative results among individuals who tested SARS-CoV-2-positive by reverse transcription-polymerase chain reaction (RT-PCR). METHODS: We conducted a retrospective study among Singapore residents who underwent testing for SARS-CoV-2 with RAT (Acon Flowflex or SD Biosensor) and RT-PCR in the same clinical encounter between 9 May 2022 and 21 November 2022. RT-PCR served as a reference standard for RAT performance. Logistic regression was used to estimate the odds ratios (OR) of factors associated with negative RAT results among RT-PCR-positive cases. RESULTS: Of 8,620 clinical encounters analysed, 3,519 (40.8%) were SARS-CoV-2-positive on RT-PCR. Overall sensitivity and specificity of RAT was 84.6% (95% CI 83.3-85.7%) and 99.4% (95% CI 99.1-99.6%) respectively. Acon Flowflex consistently achieved higher sensitivity and specificity than SD Biosensor test kit. Among RT-PCR-positive cases, individuals who had a previous documented SARS-CoV-2 infection, coinfection with another respiratory pathogen or tested ≥ 6 days from symptom onset had higher odds of testing RAT-negative, but the associations were attenuated after adjustment for cycle threshold values (proxy for viral load). There was no significant difference in RAT performance between Omicron sublineages BA.2, BA.5 and XBB.1. CONCLUSION: Diagnostic performance of RAT was not affected by changes in predominant circulating Omicron sublineages. However, reinfection cases may be under ascertained by RAT. In individuals with a previous SARS-CoV-2 infection episode or symptom onset ≥ 6 days prior to testing, a confirmatory RT-PCR may be considered if there is high clinical suspicion.


Subject(s)
COVID-19 Serological Testing , COVID-19 , SARS-CoV-2 , Sensitivity and Specificity , COVID-19/diagnosis , SARS-CoV-2/genetics , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , Humans , Male , Retrospective Studies , Singapore , Adult , Middle Aged , Female , COVID-19 Serological Testing/methods , Aged , Young Adult , COVID-19 Nucleic Acid Testing/methods
2.
Emerg Infect Dis ; 29(4): 814-817, 2023 04.
Article in English | MEDLINE | ID: mdl-36878009

ABSTRACT

We compared serial intervals and incubation periods for SARS-CoV-2 Omicron BA.1 and BA.2 subvariants and Delta variants in Singapore. Median incubation period was 3 days for BA.1 versus 4 days for Delta. Serial interval was 2 days for BA.1 and 3 days for BA.2 but 4 days for Delta.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Singapore/epidemiology , SARS-CoV-2/genetics , COVID-19/epidemiology , Infectious Disease Incubation Period
3.
Epidemiol Infect ; 149: e92, 2021 04 05.
Article in English | MEDLINE | ID: mdl-33814027

ABSTRACT

Case identification is an ongoing issue for the COVID-19 epidemic, in particular for outpatient care where physicians must decide which patients to prioritise for further testing. This paper reports tools to classify patients based on symptom profiles based on 236 severe acute respiratory syndrome coronavirus 2 positive cases and 564 controls, accounting for the time course of illness using generalised multivariate logistic regression. Significant symptoms included abdominal pain, cough, diarrhoea, fever, headache, muscle ache, runny nose, sore throat, temperature between 37.5 and 37.9 °C and temperature above 38 °C, but their importance varied by day of illness at assessment. With a high percentile threshold for specificity at 0.95, the baseline model had reasonable sensitivity at 0.67. To further evaluate accuracy of model predictions, leave-one-out cross-validation confirmed high classification accuracy with an area under the receiver operating characteristic curve of 0.92. For the baseline model, sensitivity decreased to 0.56. External validation datasets reported similar result. Our study provides a tool to discern COVID-19 patients from controls using symptoms and day from illness onset with good predictive performance. It could be considered as a framework to complement laboratory testing in order to differentiate COVID-19 from other patients presenting with acute symptoms in outpatient care.


Subject(s)
Ambulatory Care , COVID-19 Testing/methods , COVID-19/diagnosis , Abdominal Pain/physiopathology , Adolescent , Adult , COVID-19/physiopathology , Case-Control Studies , Clinical Decision Rules , Cough/physiopathology , Diarrhea/physiopathology , Disease Progression , Dyspnea/physiopathology , Female , Fever/physiopathology , Headache/physiopathology , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Myalgia/physiopathology , Odds Ratio , Patient Selection , Pharyngitis/physiopathology , Rhinorrhea/physiopathology , SARS-CoV-2 , Sensitivity and Specificity , Severity of Illness Index , Young Adult
SELECTION OF CITATIONS
SEARCH DETAIL
...