Allergic diseases as risk factors for Long-COVID symptoms: Systematic review of prospective cohort studies

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Doreen Wolff - , Otto-von-Guericke-Universität Magdeburg (Gemeinsame:r Erstautor:in)
  • Karl Philipp Drewitz - , Otto-von-Guericke-Universität Magdeburg (Gemeinsame:r Erstautor:in)
  • Angela Ulrich - , Otto-von-Guericke-Universität Magdeburg (Gemeinsame:r Erstautor:in)
  • Doreen Siegels - , Zentrum für evidenzbasierte Gesundheitsversorgung (Autor:in)
  • Stefanie Deckert - , Zentrum für evidenzbasierte Gesundheitsversorgung (Autor:in)
  • Antonia Anabella Sprenger - , Otto-von-Guericke-Universität Magdeburg (Autor:in)
  • Paula Ricarda Kuper - , Otto-von-Guericke-Universität Magdeburg (Autor:in)
  • Jochen Schmitt - , Zentrum für evidenzbasierte Gesundheitsversorgung (Autor:in)
  • Daniel Munblit - , King's College London (KCL) (Autor:in)
  • Christian Apfelbacher - , Otto-von-Guericke-Universität Magdeburg (Letztautor:in)

Abstract

Objective: The role of allergy as a risk factor for Long-COVID (LC) is unclear and has not been thoroughly examined yet. We aimed to systematically review and appraise the epidemiological evidence on allergic diseases as risk factors for LC. Design: This is an initial systematic review. Two reviewers independently performed the study selection and data extraction using Covidence. Risk of bias (RoB) and certainty of evidence (GRADE) were assessed. Random effects meta-analyses were used to pool unadjusted ORs within homogeneous data subsets. Data Sources: We retrieved articles published between January 1st, 2020 and January 19th, 2023 from MEDLINE via PubMed, Scopus, the WHO-COVID-19 database and the LOVE platform (Epistemonikos Foundation). In addition, citations and reference lists were searched. Eligibility Criteria: We included prospective cohort studies recruiting individuals of all ages with confirmed SARS-CoV-2 infection that were followed up for at least 12 months for LC symptoms where information on pre-existing allergic diseases was available. We excluded all study designs that were not prospective cohort studies and all publication types that were not original articles. Results: We identified 13 studies (9967 participants, range 39–1950 per study), all assessed as high RoB, due to population selection and methods used to ascertain the exposures and the outcome. Four studies did not provide sufficient data to calculate Odds Ratios. The evidence supported a possible relationship between LC and allergy, but was very uncertain. For example, pre-existing asthma measured in hospital-based populations (6 studies, 4019 participants) may be associated with increased risk of LC (Odds Ratio 1.94, 95% CI 1.08, 3.50) and findings were similar for pre-existing rhinitis (3 studies, 1141 participants; Odds Ratio 1.96, 95% CI 1.61, 2.39), both very low certainty evidence. Conclusions: Pre-existing asthma or rhinitis may increase the risk of LC.

Details

OriginalspracheEnglisch
Seiten (von - bis)1162-1176
Seitenumfang15
FachzeitschriftClinical and experimental allergy
Jahrgang53
Ausgabenummer11
PublikationsstatusVeröffentlicht - Nov. 2023
Peer-Review-StatusJa

Externe IDs

PubMed 37936547
ORCID /0000-0002-4049-9120/work/148145654

Schlagworte

Schlagwörter

  • COVID-19, allergy, asthma, long-COVID, risk, Prospective Studies, Rhinitis, Humans, Risk Factors, SARS-CoV-2, COVID-19/epidemiology, Asthma/epidemiology, Post-Acute COVID-19 Syndrome