Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/36370
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dc.contributor.authorUrbach, Dietmar-
dc.contributor.authorAwiszus, Friedemann-
dc.contributor.authorLeiß, Sven-
dc.contributor.authorVenton, Tamsin-
dc.contributor.authorSpecht, Alexander Vincent-
dc.contributor.authorApfelbacher, Christian-
dc.date.accessioned2021-04-23T08:41:43Z-
dc.date.available2021-04-23T08:41:43Z-
dc.date.issued2020-
dc.date.submitted2020-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/36602-
dc.identifier.urihttp://dx.doi.org/10.25673/36370-
dc.description.abstractBackground: As the COVID-19 pandemic continues to spread across the globe, the search for an effective medication to treat the symptoms of COVID-19 continues as well. It would be desirable to identify a medication that is already in use for another condition and whose side effect profile and safety data are already known and approved. Objective: The objective of this study was to evaluate the effect of different medications on typical COVID-19 symptoms by using data from an online surveillance survey. Methods: Between early April and late-July 2020, a total of 3654 individuals in Lower Saxony, Germany, participated in an online symptom-tracking survey conducted through the app covid-nein-danke.de. The questionnaire comprised items on typical COVID-19 symptoms, age range, gender, employment in patient-facing healthcare, housing status, postal code, previous illnesses, permanent medication, vaccination status, results of reverse transcription polymerase chain reaction (RT-PCR) and antibody tests for COVID-19 diagnosis, and consequent COVID-19 treatment if applicable. Odds ratio estimates with corresponding 95% CIs were computed for each medication and symptom by using logistic regression models. Results: Data analysis suggested a statistically significant inverse relationship between typical COVID-19 symptoms self-reported by the participants and self-reported statin therapy and, to a lesser extent, antihypertensive therapy. When COVID-19 diagnosis was based on restrictive symptom criteria (ie, presence of 4 out of 7 symptoms) or a positive RT-PCR test, a statistically significant association was found solely for statins (odds ratio 0.28, 95% CI 0.1-0.78). Conclusions: Individuals taking statin medication are more likely to have asymptomatic COVID-19, in which case they may be at an increased risk of transmitting the disease unknowingly. We suggest that the results of this study be incorporated into symptoms-based surveillance and decision-making protocols in regard to COVID-19 management. Whether statin therapy has a beneficial effect in combating COVID-19 cannot be deduced based on our findings and should be investigated by further study.eng
dc.description.sponsorshipDFG-Publikationsfonds 2020-
dc.language.isoeng-
dc.relation.ispartofhttp://publichealth.jmir.org/-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectCOVID-19eng
dc.subjectSARS-CoV-2eng
dc.subjectStatinseng
dc.subjectAntihypertensiveseng
dc.subjectSurveillanceeng
dc.subjectHydroxymethyl-glutaryl-coenzyme A reductase inhibitorseng
dc.subject.ddc610.72-
dc.titleAssociations of medications with lower odds of typical COVID-19 symptoms : cross-sectional symptom surveillance studyeng
dc.typeArticle-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-366025-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleJMIR public health and surveillance-
local.bibliographicCitation.volume6-
local.bibliographicCitation.issue4-
local.bibliographicCitation.pagestart1-
local.bibliographicCitation.pageend10-
local.bibliographicCitation.publishernameJMIR Publications-
local.bibliographicCitation.publisherplaceToronto-
local.bibliographicCitation.doi10.2196/22521-
local.openaccesstrue-
dc.identifier.ppn1743000138-
local.bibliographicCitation.year2020-
cbs.sru.importDate2021-04-23T08:35:22Z-
local.bibliographicCitationEnthalten in JMIR public health and surveillance - Toronto : JMIR Publications, 2015-
local.accessrights.dnbfree-
Appears in Collections:Medizinische Fakultät (OA)

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