ArticleJournal of infection and public health2022
Long term predictors of breathlessness, exercise intolerance, chronic fatigue and well-being in hospitalized patients with COVID-19: A cohort study with 4 months median follow-up.
Article in Journal of infection and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.
- Cardiovascular diseases as risk factors of post-COVID syndrome: a systematic review.BMC public health · 2024Pooled it
- Sequelae of COVID-19 among previously hospitalized patients up to 1 year after discharge: a systematic review and meta-analysis.Infection · 2022Pooled it
- COVID-19 symptom duration: evidence from a survey of infected workers in Tokyo.Frontiers in public health · 2026Article
- A multiomics recovery factor predicts long COVID in the IMPACC study.The Journal of clinical investigation · 2025Article
- Psychosocial Impact of the COVID-19 Pandemic Among Omanis with Multiple Sclerosis: Single Tertiary Center Experience.International journal of environmental research and public health · 2025Article
- Clinical manifestations of Long-COVID: an observational perspective.Frontiers in medicine · 2025Article
- Review
- Patient-Reported Experiences of Persistent Post-COVID-19 Conditions After Hospital Discharge During the Second and Third Waves of the Pandemic in Switzerland: Cross-Sectional Questionnaire Study.JMIR public health and surveillance · 2024Article
- Chronic Lung Disease as a Risk Factor for Long COVID in Patients Diagnosed With Coronavirus Disease 2019: A Retrospective Cohort Study.Open forum infectious diseases · 2024Article
- Impact of Long COVID-19 on Health Outcomes Among Adults With Preexisting Cardiovascular Disease and Hypertension: A Systematic Review.CJC open · 2024Review
- Long COVID among Brazilian Adults and Elders 12 Months after Hospital Discharge: A Population-Based Cohort Study.Healthcare (Basel, Switzerland) · 2024Article
- Two-Stream Convolutional Neural Networks for Breathing Pattern Classification: Real-Time Monitoring of Respiratory Disease Patients.Bioengineering (Basel, Switzerland) · 2024Article
- The Prevalence and Associated Factors of Post-COVID-19 Fatigue: A Systematic Review and Meta-Analysis.Cureus · 2024Review
- Calcium channel blockers may reduce the development of long COVID in females.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Iron dysregulation and inflammatory stress erythropoiesis associates with long-term outcome of COVID-19.Nature immunology · 2024Article
- The Multisystem Impact of Long COVID: A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2024Review
- Proteomic Evolution from Acute to Post-COVID-19 Conditions.Journal of proteome research · 2024Article
- Absence of cardiac impairment in patients after severe acute respiratory syndrome coronavirus type 2 infection: A long-term follow-up study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024Article
- Functionality, physical activity, fatigue and quality of life in patients with acute COVID-19 and Long COVID infection.Scientific reports · 2023Article
- A Review Article on Exercise Intolerance in Long COVID: Unmasking the Causes and Optimizing Treatment Strategies.Medical science monitor : international medical journal of experimental and clinical research · 2023Review
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPost-acute COVID-19 syndrome (PACS) is an emerging healthcare burden. We therefore aimed to determine predictors of different functional outcomes after hospital discharge in patients with COVID-19.
methodsAn ambidirectional cohort study was conducted between May and July 2020, in which PCR-confirmed COVID-19 patients underwent a standardized telephone assessment between 6 weeks and 6 months post discharge. We excluded patients who died, had a mental illness or failed to respond to two follow-up phone calls. The medical research council (MRC) dyspnea scale, metabolic equivalent of task (MET) score for exercise tolerance, chronic fatigability syndrome (CFS) scale and World Health Organization-five well-being index (WHO-5) for mental health were used to evaluate symptoms at follow-up.
results375 patients were contacted and 153 failed to respond. The median timing for the follow-up assessment was 122 days (IQR, 109-158). On multivariate analyses, female gender, pre-existing lung disease, headache at presentation, intensive care unit (ICU) admission, critical COVID-19 and post-discharge ER visit were predictors of higher MRC scores at follow-up. Female gender, older age >67 years, arterial hypertension and emergency room (ER) visit were associated with lower MET exercise tolerance scores. Female gender, pre-existing lung disease, and ER visit were associated with higher risk of CFS. Age, dyslipidemia, hypertension, pre-existing lung disease and duration of symptoms were negatively associated with WHO-5 score.
conclusionsSeveral risk factors were associated with an increased risk of PACS. Hospitalized patients with COVID-19 who are at risk for PACS may benefit from a targeted pre-emptive follow-up and rehabilitation programs.
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Registered trials
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.