The effect of vitamin D treatment on quality of life in patients with fibromyalgia

Ersoy, Sedef; Kesiktas, Fatma Nur; Sirin, Busra; Bugdayci, Derya; Paker, Nurdan

doi:10.1007/s11845-023-03521-4

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…In contrast to many of the symptoms described above which generally lack attention in the medical literature, the potential relationship between vitamin D and fibromyalgia has been extensively studied [17, 68]. In theory the mechanisms by which vitamin D may be relevant in fibromyalgia include effects on skeletal muscle, neurotransmitters and neuronal regulation [35].…”

Section: Discussionmentioning

confidence: 99%

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes

Slater,

Schofield,

Wright

et al. 2023

Preprint

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BackgroundDeep phenotyping describes the use of formal and standardised terminologies to create comprehensive phenotypic descriptions of biomedical phenomena. While most often employed to describe patients, phenotype models may also be developed to characterise diseases. These characterisations facilitate secondary analysis, evidence synthesis, and practitioner awareness, thereby guiding patient care. The vast majority of this knowledge is derived from sources that describe an academic understanding of disease, including academic literature and experimental databases. Previous work has revealed a gulf between the priorities, perspectives, and perceptions held by healthcare researchers and providers and the users of clinical services. A comparison between canonical disease descriptions and phenotype models developed from public discussions of disease offers the prospect of discovery of new phenotypes, patient population stratification, and targeted mitigation of symptoms most damaging to patients quality of life.MethodsUsing a dataset representing disease and phenotype co-occurrence in social media text, we employ semantic techniques to identify phenotype associations for a set of common and rare diseases, constituting a phenotype model for those diseases that represents the public perspective. We create an integrated resource for biomedical database and literature-derived disease-phenotype associations by aligning data from several previous studies. We then explore differences between the disease-phenotype associations derived from writing in social media with those from the clinical literature and biomedical databases, with a focus on identification of differential themes and novel phenotypes. We also perform an evaluation of associations for several diseases, with specialist clinicians reviewing associations for validity, feasibility, and involvement in clinical care.FindingsWe identified 35,782 significant disease-phenotype associations from social media across 311 diseases, of which 304 could be linked to a combined resource of associations derived from academic sources. Social media-derived disease profiles recapitulated those from academic sources (AUC=0.874 (.95=0.858-0.891)). We further identified 26,081 novel phenotype associations that were not contained in the academic sources, of which 15,084 were considered significant. Constitutional symptoms, those holistic manifestations of disease affecting quality of life, were strongly over-represented in the social media phenotype, contributing more associations especially to endocrine, digestive, and reproductive diseases. An expert clinical review found that social media-derived associations were considered similarly well-established to those derived from literature, and were seen significantly more in patient clinical encounters.InterpretationThe phenotype model recovered from social media presents a significantly different perspective than existing resources derived from biomedical databases and literature, providing a large number of associations novel to the latter dataset. We propose that the integration and interrogation of these public perspectives on disease can inform clinical awareness, improve secondary analysis, and bridge understanding across healthcare stakeholders.

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Section: Discussionmentioning

confidence: 99%

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes

Slater,

Schofield,

Wright

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes

Slater,

Schofield,

Wright

et al. 2024

npj Digit. Med.

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Deep phenotyping describes the use of standardised terminologies to create comprehensive phenotypic descriptions of biomedical phenomena. These characterisations facilitate secondary analysis, evidence synthesis, and practitioner awareness, thereby guiding patient care. The vast majority of this knowledge is derived from sources that describe an academic understanding of disease, including academic literature and experimental databases. Previous work indicates a gulf between the priorities, perspectives, and perceptions held by different healthcare stakeholders. Using social media data, we develop a phenotype model that represents a public perspective on disease and compare this with a model derived from a combination of existing academic phenotype databases. We identified 52,198 positive disease-phenotype associations from social media across 311 diseases. We further identified 24,618 novel phenotype associations not shared by the biomedical and literature-derived phenotype model across 304 diseases, of which we considered 14,531 significant. Manifestations of disease affecting quality of life, and concerning endocrine, digestive, and reproductive diseases were over-represented in the social media phenotype model. An expert clinical review found that social media-derived associations were considered similarly well-established to those derived from literature, and were seen significantly more in patient clinical encounters. The phenotype model recovered from social media presents a significantly different perspective than existing resources derived from biomedical databases and literature, providing a large number of associations novel to the latter dataset. We propose that the integration and interrogation of these public perspectives on the disease can inform clinical awareness, improve secondary analysis, and bridge understanding and priorities across healthcare stakeholders.

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Is Middle East Pain Syndrome (MEPS) a Variant of Fibromyalgia Syndrome or a Distinct Disease?

Elhamamy,

Elbeialy,

Mohamed

et al. 2024

Preprint

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Objective: Fibromyalgia Syndrome (FMS) is a chronic disabling musculoskeletal condition of unknown aetiology characterized by generalized musculoskeletal pain, extreme fatigue, mood disturbance, impaired cognition, and lack of refreshing sleep. Middle East pain syndrome (MEPS) is a vitamin D3 deficiency-induced hyperparathyroidism and fibromyalgia mimicking rheumatoid arthritis, characterized by the radiological presence of spur-like excrescences in terminal phalanges. This study aimed to explore the inflammatory nature of MEPS and FMS. Methods: Eighty primary fibromyalgia patients were included in this study. They were divided into two groups, group (1) of 40 FMS patients with low vitamin D levels and secondary hyperparathyroidism (SHPT), which were diagnosed as MEPS (2), and group (2) of 40 primary FMS patients with normal vitamin D and PTH levels. They were subjected to full medical history taking, clinical examination and laboratory assessment including serum IL-17 by enzyme-linked immunosorbent assay technique, as well as assessment of enthesopathy using musculoskeletal ultrasound and nailfold capillaroscopic pattern assessment. Plain X-ray films for hands were done on all patients. Results: There was a statistically significant elevation of serum IL17 in the MEPS group (median = 58.3 ng/L) compared to the FMS group (median = 45.7 ng/L) as the p-value is <0.05. Capillaroscopic examination revealed a statistically significant difference between MEPS and FMS groups regarding angiogenesis as the p-value is< 0.05. The ultrasonographic examination also showed a statistically significant difference between MEPS and FMS groups as regards MASEI score as the p-value is< 0.05. Conclusion: Elevated IL-17 levels, non-scleroderma pattern capillaroscopic and enthesopathy findings in both MEPS and FMS patients are strongly supportive that inflammatory mechanisms participate in the pathogenesis of both diseases. The significant increase of these findings in MEPS than FMS patients confirms that the newly discovered MEPS is a different disease although it involves fibromyalgia symptoms and signs.

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The effect of vitamin D treatment on quality of life in patients with fibromyalgia

Cited by 3 publications

References 37 publications

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes

Talking about diseases; developing a model of patient and public-prioritised disease phenotypes

Is Middle East Pain Syndrome (MEPS) a Variant of Fibromyalgia Syndrome or a Distinct Disease?

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