Evidence map›Paper›PMID 42260029›Full record

Observational studyQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

Health-related quality of life changes in patients with Q-fever fatigue syndrome: a four-year follow-up study, 10 years post-infection.

N C Stemerdink, S C M Heemskerk, E Hartman, M Wesseling, P Tieleman, A Burdorf, J A Haagsma

Abstract readObservational Study
In one paragraph

Observational study in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

N C StemerdinkDepartment of Public Health, Erasmus University Medical Center Rotterdam, Dr. Molewaterplein, 403015 GD, Rotterdam, The Netherlands.
S C M HeemskerkDepartment of Public Health, Erasmus University Medical Center Rotterdam, Dr. Molewaterplein, 403015 GD, Rotterdam, The Netherlands. s.c.m.heemskerk@erasmusmc.nl.
E HartmanQ-Support, 's Hertogenbosch, The Netherlands.
M WesselingQ-Support, 's Hertogenbosch, The Netherlands.
P TielemanQ-Support, 's Hertogenbosch, The Netherlands.
A BurdorfDepartment of Public Health, Erasmus University Medical Center Rotterdam, Dr. Molewaterplein, 403015 GD, Rotterdam, The Netherlands.
J A HaagsmaDepartment of Public Health, Erasmus University Medical Center Rotterdam, Dr. Molewaterplein, 403015 GD, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeQ-fever can cause long-term health complications such as Q-fever Fatigue Syndrome (QFS), which may severely impact patients' Health-Related Quality of Life (HRQoL). This study investigated change of HRQoL in QFS patients over time, and explored predictors associated with change using longitudinal data.

methodsIn this prospective observational study questionnaires were administered among Dutch individuals with self-reported QFS who were registered at Q-support, a foundation that supports, advises and informs Q-fever patients. Participants completed four annual questionnaires between 2021 and 2024, including EQ-5D-5L and EQ VAS to measure HRQoL. Changes in HRQoL were categorized as "improvement", "deterioration", or "stable", using an anchor-based minimal important difference approach. Multinomial logistic regression analyses identified predictors of change.

resultsA total of 199 patients were included in the final analysis. At baseline, median EQ-5D-5L utility index and EQ VAS scores were 0.647 (IQR: 0.352-0.774), and 50.0 (IQR: 34.0-60.0), respectively. After four years, 37% of patients showed improvement in EQ-5D-5L utility, 30% deterioration, and 33% remained stable. Female sex and higher baseline EQ-5D-5L utility were associated with lower odds of improvement or being stable.

conclusionMore than 10 years post-infection, HRQoL remains consistently low at group level among patients with QFS, with substantial long-term variability in individual outcomes. These findings underscore the chronic nature of QFS, its long-lasting consequences, and the importance of continued monitoring of individual health trajectories. Further studies are warranted to better understand the mechanisms underlying individual differences in recovery and to inform targeted interventions for this patient population.

Indexed as

FatigueQ FeverQuality of LifeAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedNetherlandsProspective StudiesSurveys and QuestionnairesPost infectious acute syndromeQ-feverQ-fever fatigue syndromeQuality of life

Identifiers

PMID42260029
PMCPMC13246837

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.