Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of post-COVID-19 condition phenotypes, and differences in health-related quality of life and healthcare use: a cluster analysis

1 Jan 2023

Abstract excerpt

Abstract The aim of this cross-sectional study was to identify post-COVID-19 condition (PCC) phenotypes and to investigate the health-related quality of life (HRQoL) and healthcare use per phenotype. We administered a questionnaire to a cohort of PCC patients that included items on socio-demographics, medical characteristics, health symptoms, healthcare use, and the EQ-5D-5L. A principal component analysis (PCA)...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Fibromyalgia and Chronic Fatigue Syndrome Research
Share to Long-Term Effects of COVID-19

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37462040
DOI: 10.1017/s0950268823001139

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of post-COVID-19 condition phenotypes, and differences in health-related quality of life and healthcare use: a cluster analysisPMID 37462040Read ↗

Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working AbilitySemantic proximity Read ↗

Covid-19 does not look like what you are looking for: Clustering symptoms by nation and multi-morbidities reveal substantial differences to the classical symptom triadSemantic proximity Read ↗

Identifying Long Covid phenotypes and their association with personal characteristics, healthcare use, and daily life burden: population-based study in Belgium.Semantic proximity Read ↗

Refinement of post-COVID condition core symptoms, subtypes, determinants, and health impacts: A cohort study integrating real-world data and patient-reported outcomesSemantic proximity Read ↗

Identification of Distinct Long COVID Clinical Phenotypes Through Cluster Analysis of Self-Reported SymptomsSemantic proximity Read ↗

Comorbidity Burden among Adults with Symptomatic COVID-19 Illness: A Cross-Sectional StudySemantic proximity Read ↗

Incidence of Post-Covid Syndrome and Associated Symptoms in Outpatient Care in Bavaria, GermanySemantic proximity Read ↗

Phenotyping of acute and persistent COVID-19 features in the outpatient setting: exploratory analysis of an international cross-sectional online surveySemantic proximity Read ↗

COVID-19 illness severity and 2-year prevalence of physical symptoms: an observational study in Iceland, Sweden, Norway and DenmarkSemantic proximity Read ↗

Comparison of methods to identify and characterize Post-COVID syndrome using electronic health records and questionnairesSemantic proximity Read ↗

Gastrointestinal barrier disruption in Post-COVID Syndrome Fatigue patientsSemantic proximity Read ↗

Long COVID risk by pre-infection symptoms and functional status: A retrospective cohort study of data from the All of Us Research Program.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.