Prevalence of Fibromyalgia Syndrome and Its Correlations with Arrhythmia in Patients with Palpitations

Aşkın, Ayhan; Güvendi, Ece; Özkan, Ayten; Şimşek, Ersin Çağrı; Kocabaş, Uğur

doi:10.14712/18059694.2018.10

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…P. Acosta et al identified an increased probability of cardiovascular diseases among fibromyalgia patients, especially in females who did not meet physical strength criteria (15). Askin et al reported a higher prevalence of FM symptoms among cardiac patients using the Fibromyalgia Impact Questionnaire and VAS scale for pain, finding 22 symptoms in 62 patients versus 4 in normal subjects (16). Y. Muskila's study on gender differences in FM incidence included 321 individuals and reported a higher incidence in women (11.4%) compared to men (1.5%) (17).…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Fibromyalgia among Ischemic Heart Disease Patients in Lahore

Chohdary,

Nimra Riaz,

Zainab Riaz

et al. 2024

JHRR

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Background: Fibromyalgia (FM) is a chronic pain disorder often coexisting with other conditions, complicating diagnosis, and management. Ischemic heart disease (IHD) patients may exhibit FM symptoms, which can affect their overall health and treatment outcomes. Understanding the prevalence and severity of FM in IHD patients can improve clinical approaches and patient care. Objective: To determine the prevalence of fibromyalgia among ischemic heart disease patients in Lahore and to assess the severity of associated somatic symptoms. Methods: This cross-sectional study included 158 participants diagnosed with ischemic heart disease, recruited through non-probability sampling from the Punjab Institute of Cardiology. The age range of participants was 30-60 years, with a mean age of 2.2595±0.75865. Both genders were included, with 62 males (39.2%) and 96 females (60.8%). Participants were categorized into three age groups for analysis. Data collection involved administering a fibromyalgia screening questionnaire to participants who provided informed consent. Exclusion criteria included diabetes, autoimmune diseases, immunosuppressive diseases, liver diseases, cancer, and history of substance abuse. Ethical approval was obtained according to the Declaration of Helsinki. Data were analyzed using SPSS version 25.0, with descriptive statistics (means, standard deviations, frequencies) and inferential statistics employed to explore associations between fibromyalgia and ischemic heart disease. Results: Among the 158 IHD patients, 61.4% reported fibromyalgia symptoms, while 38.6% did not. Fibromyalgia symptoms were reported in the upper extremities by 93.7% of patients, in the lower extremities by 86%, in the face by 50%, in the front areas by 64.6%, and in the upper and lower back by 61.4%. Additionally, 62.7% of IHD patients reported somatic symptoms beyond musculoskeletal pain. Severity of symptoms included 55% reporting moderate to extreme fatigue, 58% reporting moderate to extreme difficulty waking refreshed, and 30% reporting slight cognitive changes. Conclusion: The study identified a significant prevalence of fibromyalgia symptoms among ischemic heart disease patients, with considerable severity of symptoms and additional somatic complaints. These findings highlight the importance of screening for fibromyalgia in IHD patients to improve diagnosis and treatment strategies, ultimately enhancing patient outcomes.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Fibromyalgia among Ischemic Heart Disease Patients in Lahore

Chohdary,

Nimra Riaz,

Zainab Riaz

et al. 2024

JHRR

View full text Add to dashboard Cite

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“…It is possible that some of the sensory non-pain related symptoms highlighted in the current study, such as tinnitus, palpitations, vertigo, nausea are also due to central augmentation but have received less attention in the literature. For example, some studies have shown a mismatch between self-reporting of palpitations amongst patients with fibromyalgia, compared to healthy controls, in the absence of any significant differences in objective cardiac measurements [7,20]. Autonomic dysfunction has also been proposed as a potential mechanism for some for the symptoms identified by the SMP including palpitations and skin manifestations, but objective data to support this 10/22 theory is currently lacking [7,27,44].…”

Section: Fibromyalgiamentioning

confidence: 99%

“…For example, some studies have shown a mismatch between self-reporting of palpitations amongst patients with fibromyalgia, compared to healthy controls, in the absence of any significant differences in objective cardiac measurements [7,20]. Autonomic dysfunction has also been proposed as a potential mechanism for some for the symptoms identified by the SMP including palpitations and skin manifestations, but objective data to support this 10/22 theory is currently lacking [7,27,44]. Diminished concentration is a well-established phenotype of fibromyalgia, and was incorrectly marked as 'not established' during the validation phase.…”

Section: Fibromyalgiamentioning

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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Prevalence of Fibromyalgia Syndrome and Its Correlations with Arrhythmia in Patients with Palpitations

Cited by 2 publications

References 25 publications

Prevalence of Fibromyalgia among Ischemic Heart Disease Patients in Lahore

Prevalence of Fibromyalgia among Ischemic Heart Disease Patients in Lahore

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

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