Background: Long coronavirus disease (COVID; LC) affects millions of people worldwide. The exact mechanisms which result in a broad, undulating and detrimental symptom profile remain unknown. Blood biomarkers associated with LC have been described; however, consensus on these remains elusive, in part due to a lack of continuity between studies on a universally accepted definition of LC. This systematic review aimed to consolidate current knowledge of blood biomarkers associated with the prevalence of LC on the basis of the World Health Organisation (WHO) clinical definition of this condition.
Eligibility Criteria For Selecting Studies: Observational, cross-sectional, and randomised control studies published in the English language that studied blood biomarkers associated with the WHO definition of LC. All studies included participants who were ≥ 18 years old and group sizes ≥ 10 participants, and were compared against a control group without any known co-morbidities.
Methods: A systematic literature search was conducted according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and prospectively registered on Prospero (ID: CRD42022373121). The Cochrane, Embase, PubMed and Web of Science databases were searched from inception to January 2024. Search results were gathered using Rayyan software and data extracted using Microsoft Excel. The reporting recommendations for tumour markers prognostic studies (REMARK) questionnaire was used to assess the quality of the included studies.
Results: A total of 45 observational and one interventional study comprising 4415 participants were included in this review which identified 525 blood biomarkers thought to be associated with LC. Three blood biomarker subtypes were associated with the development of LC: (1) immunological and inflammatory dysfunction, (2) endothelial/vascular dysfunction and (3) metabolic and clotting abnormalities.
Discussion And Conclusions: Our data are consistent with previous findings; however, no single biomarker was sufficiently associated with LC prevalence and instead a profile of biomarkers across various physiological systems may be more clinically useful. In all, 196 studies were excluded due to a lack of an adequately healthy comparator group and/or failure to meet the WHO LC definition. This demonstrates a need for further research incorporating a universal LC definition across all disease severity groups and symptom profiles, and longitudinal data reflecting the relapsing and remitting nature of this condition. Further investigation into blood biomarkers of LC, including clear reporting of healthy comparator groups and the investigation of acute and chronic biomarker changes, within the context of medical practice, may support the development of curative/restorative approaches.
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http://dx.doi.org/10.1007/s40291-024-00731-z | DOI Listing |
Scand J Urol
January 2025
Department of Urology, Odense University Hospital, Odense, Denmark; Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Objective: Early and accurate diagnosis of prostate cancer (PC) is crucial for effective treatment. Diagnosing clinically insignificant cancers can lead to overdiagnosis and overtreatment, highlighting the importance of accurately selecting patients for further evaluation based on improved risk prediction tools. Novel biomarkers offer promise for enhancing this diagnostic process.
View Article and Find Full Text PDFEmergencias
December 2024
Servicio de Análisis Clínicos, Hospital Universitario Santa Lucía, Cartagena, Murcia, España.
Objective: To analyze the usefulness of mean mid-regional pro-adrenomedullin (MR-proADM) level to stratify risk in emergency department patients with solid tumors attended for febrile neutropenia after chemotherapy. To compare risk prediction with MR-proADM to that of conventional biomarkers and scores on the Multinational Association for Supportive Care in Cancer (MASCC) score.
Methods: Prospective observational cohort study enrolling patients with solid tumors who developed febrile neutropenia after chemotherapy.
Health Sci Rep
January 2025
Yazd Cardiovascular Research Center, Non-communicable Diseases Research Institute Shahid Sadoughi University of Medical Sciences Yazd Iran.
Background And Aims: Mounting evidence have implicated that rs1801131 and rs1801133, located in the Methylenetetrahydrofolate reductase (MTHFR) gene, may emerge as novel biomarkers for coronary artery disease (CAD). The Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score is also an appropriate predictor for revascularization strategy in patients with complex CAD. The aim of this study is to investigate the correlation between rs1801131 and rs1801133 with the severity of coronary lesions in patients with ST‑Elevation Myocardial Infarction (STEMI) and Non‑ST‑Elevation Myocardial Infarction (NSTEMI) based on the SYNTAX score.
View Article and Find Full Text PDFJ Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
J R Stat Soc Ser C Appl Stat
January 2025
Memorial Sloan Kettering Cancer Center, New York, USA.
Survival is poor for patients with metastatic cancer, and it is vital to examine new biomarkers that can improve patient prognostication and identify those who would benefit from more aggressive therapy. In metastatic prostate cancer, 2 new assays have become available: one that quantifies the number of cancer cells circulating in the peripheral blood, and the other a marker of the aggressiveness of the disease. It is critical to determine the magnitude of the effect of these biomarkers on the discrimination of a model-based risk score.
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