Publications by authors named "M Kosmidou"
Article Synopsis
- Researchers classified sepsis into four clinical phenotypes using a simplified algorithm based on six admission parameters in a study involving 1498 patients, including those with bacterial sepsis and severe COVID-19.
- The analysis found distinct characteristics and outcomes for the phenotypes, with Phenotype α showing low mortality risk and Phenotype δ having the highest mortality.
- The study concludes that this phenotyping method is effective for predicting outcomes in both bacterial sepsis and severe COVID-19, suggesting it could have important prognostic applications.
Arthritis, particularly osteoarthritis (OA), is a common synovial condition observed in individuals with multiple sclerosis (MS). Despite its high prevalence and significant impact on the quality of life of MS individuals, there is a gap in the current literature regarding the prevalence of OA in this population and its relation to MS pathology. This systematic review and meta-analysis aimed to estimate the prevalence of OA in the MS population and explore potential associations with demographic and MS-specific characteristics.
View Article and Find Full Text PDFObjectives: It is suggested that sepsis may be classified into four clinical phenotypes, using an algorithm employing 29 admission parameters. We applied a simplified phenotyping algorithm among patients with bacterial sepsis and severe COVID-19 and assessed characteristics and outcomes of the derived phenotypes.
Design: Retrospective analysis of data from prospective clinical studies.
Background: Epidemiological data are sparse regarding the risk of stroke in patients with multiple sclerosis (MS).
Objective: To estimate the following: (1) the pooled prevalence of all-cause stroke, acute ischaemic stroke (AIS) and intracerebral haemorrhage (ICH) in MS patients; (2) the relative risk for all-cause stroke, AIS and ICH in MS patients compared to the general population; (3) associations between patient characteristics and the risk for AIS and ICH in MS patients.
Methods: Systematic review and meta-analysis of registry-based and cohort studies.
While obesity has been shown to elevate the risk of developing multiple sclerosis (MS), there is a lack of strong evidence regarding its role in the disability progression and status of MS patients. This systematic review and meta-analysis aimed to provide comparative estimates of WC and BMI in patients with MS (PwMS) and to investigate potential associations between the waist circumference (WC) and body mass index (BMI) and demographic and specific MS characteristics. Adhering to PRISMA guidelines, a detailed search of the MEDLINE PubMed, Cochrane Library, and Scopus databases was conducted.
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