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Associations of Medications With Lower Odds of Typical COVID-19 Symptoms: Cross-Sectional Symptom Surveillance Study.
Urbach, Dietmar; Awiszus, Friedemann; Leiß, Sven; Venton, Tamsin; Specht, Alexander Vincent De; Apfelbacher, Christian.
  • Urbach D; Helios-Klinikum Gifhorn, Gifhorn, Germany.
  • Awiszus F; Department of Orthopaedic Surgery, Otto von Guericke University, Magdeburg, Germany.
  • Leiß S; Department of Orthopaedic Surgery, Otto von Guericke University, Magdeburg, Germany.
  • Venton T; Gutingi-Medical Outpatient Clinic, Göttingen, Germany.
  • Specht AV; Teign Estuary Medical Group, Teignmouth, United Kingdom.
  • Apfelbacher C; University of Potsdam, Potsdam, Germany.
JMIR Public Health Surveill ; 6(4): e22521, 2020 12 14.
Article in English | MEDLINE | ID: covidwho-976110
ABSTRACT

BACKGROUND:

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. TRIAL REGISTRATION German Clinical Trials Register DRKS00022185; https//www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00022185; World Health Organization International Clinical Trials Registry Platform U1111-1252-6946.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Hydroxymethylglutaryl-CoA Reductase Inhibitors / SARS-CoV-2 / COVID-19 Drug Treatment / Antihypertensive Agents Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 22521

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Hydroxymethylglutaryl-CoA Reductase Inhibitors / SARS-CoV-2 / COVID-19 Drug Treatment / Antihypertensive Agents Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid / Vaccines Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: JMIR Public Health Surveill Year: 2020 Document Type: Article Affiliation country: 22521