Validation of Qualisex questionnaire to evaluate sexual dysfunction in women affected by fibromyalgia.

OBJECTIVES: Fibromyalgia (FM) may have consequences on sexual life. The objective was to validate the Qualisex questionnaire in the assessment of sexual dysfunction in women affected by FM. METHODS: We consecutively enrolled FM women (American College of Rheumatology-ACR 2016) referring to our Fibromyalgia Clinic, from 2020 to 2022. Demographic, clinical data and evaluation of FM symptoms severity (Revised Fibromyalgia Impact Questionnaire (R-FIQ), Symptoms Severity Scale-SSS, Widespread Pain Index-WPI) were assessed. Hospital Anxiety and Depression Scale (HADS) and Qualisex questionnaire were anonymously administered. Qualisex includes 10 questions on different items of sexual life with higher scores suggestive of greater negative impact of the disease on sexuality. RESULTS: The cohort was composed by 373 FM women. Cronbach's alpha test was used to validate Qualisex questionnaire (0.878). Moreover, we observed higher values of Qualisex in married women (p<0.001), in women with lower grade of education (p=0.002) and with lower sexual feeling with partner (p<0.001). Higher values of Qualisex Total score showed a positive correlation with HADS-A/D (p<0.001 r=0.312; p<0.001 r=0.542 respectively), VAS pain, VAS fatigue, VAS dryness (p<0.001 r=0,438; p<0.001 r=0.375; p<0.001 r=0.370 respectively) and relationship duration (p<0.001 r=0.202). Multivariate analysis revealed a significant influence of relationship duration, VAS pain, fatigue, dryness, HADS-A/D, R-FIQ and all Qualisex items, on Qualisex Total score corrected for patients' age (p<0.001). CONCLUSIONS: This study validated Qualisex questionnaire as a good test for the sexual disorders' evaluation in FM women. Its use allows the assessment of different factors associated with sexual dysfunction, showing an impact of FM on sexuality. Moreover, due to demotivation feelings, sexual dysfunction contributes to worsen patients' quality of life.

Gender differences in the revised Fibromyalgia Impact Questionnaire: a pilot study.

OBJECTIVES: Fibromyalgia (FM) is a chronic syndrome characterised by widespread musculoskeletal pain associated with symptoms such as fatigue, sleep disturbances and cognitive impairment. Prevalence is higher in females but the application of the 2010/2011 and 2016 revision of the American College of Rheumatology (ACR) criteria reduced prevalence differences and the actual female:male ratio is approximately 3:1. Even if lately some studies have been conducted regarding FM gender differences, disease severity is still assessed using questionnaires, such as the Revised Fibromyalgia Impact Questionnaire (FIQR), designed and validated through a predominantly female sample. The aim of this pilot study was to compare the 21 items of the FIQR among male and female patients in order to evaluate the possible existence of a gender bias. METHODS: In this case-control study, consecutive patients with a diagnosis of FM (2016 ACR criteria) were asked to answer an online survey, including demographic characteristics, disease variables and the Italian version of the FIQR. Among the 544 patients that compiled the questionnaire, 78 patients, 39 males and 39 females, matched for age and disease duration, were consecutively enrolled in order to compare their FIQR scores. RESULTS: The univariate analysis showed that total FIQR scores and physical function domain scores were significantly higher in females and, among the 21 items of the FIQR, the female group obtained significantly higher scores in 6 of them. Our results showed that female patients obtain significantly higher scores in the FIQR total score and physical function domain score, in particular in 5 out of the 9 sub-items of the FIQR physical function domain. CONCLUSIONS: These preliminary results indicate that the use of the FIQR as a severity index in male patients probably underestimates the disease impact in this group.

Application of Machine Learning Models in Systemic Lupus Erythematosus.

Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease and is extremely heterogeneous in terms of immunological features and clinical manifestations. This complexity could result in a delay in the diagnosis and treatment introduction, with impacts on long-term outcomes. In this view, the application of innovative tools, such as machine learning models (MLMs), could be useful. Thus, the purpose of the present review is to provide the reader with information about the possible application of artificial intelligence in SLE patients from a medical perspective. To summarize, several studies have applied MLMs in large cohorts in different disease-related fields. In particular, the majority of studies focused on diagnosis and pathogenesis, disease-related manifestations, in particular Lupus Nephritis, outcomes and treatment. Nonetheless, some studies focused on peculiar features, such as pregnancy and quality of life. The review of published data demonstrated the proposal of several models with good performance, suggesting the possible application of MLMs in the SLE scenario.

Gender influence on clinical manifestations, depressive symptoms and brain-derived neurotrophic factor (BDNF) serum levels in patients affected by fibromyalgia.

INTRODUCTION: OBJECTIVES: Fibromyalgia (FM) is a common rheumatic disorder characterized by chronic, widespread pain associated with several not painful symptoms. The contribution of gender to the manifestation of the disease may influence the higher prevalence of FM among women. In spite of this, how patients' gender influences the clinical manifestation of FM is still not well understood. The frequent association with neuropsychiatric symptoms raised the attention on the role of neurotrophins, including the brain-derived neurotrophic factor (BDNF) as potential biomarkers of the condition. Aims of the study were to evaluate the influence of gender on clinical manifestations and to investigate BDNF serum levels as a potential biomarker of FM. METHODS: We consecutively enrolled 201 adult patients of both sexes diagnosed with FM. For each patient, we collected clinical and clinimetric data and, in a subgroup of 40 patients, we measured serum BDNF levels. BDNF levels have been measured also in 40 matched healthy controls (HC). RESULTS: Several symptoms were significantly higher in women compared with men, including pain, fatigue, memory problems, tenderness, balance problems and sensitivity to environmental stimuli. On the contrary, men reported a significant higher frequency of coexisting depressive symptoms. BDNF levels were significantly lower in FM patients compared with HC, discriminating with good accuracy the condition. CONCLUSION: Gender influences FM clinical manifestations, with a higher prevalence of pain, fatigue and other common FM symptoms among women while higher frequency of neuropsychiatric symptoms among men. BDNF offers promises as a potential biomarker of the disease. Key Points • Gender-related differences in the clinical manifestations of FM may contribute to the higher prevalence of FM among females. Indeed, women show higher levels of pain and symptoms traditionally associated to FM, which are evaluated to establish the diagnosis according to the clinical criteria. • The new insights into the pathogenesis of the disease raised the attention on the role of brain mediators in FM. Among these, BNDF shows potential as a diagnostic biomarker.

Mental health and well-being during the COVID-19 pandemic: stress vulnerability, resilience and mood disturbances in fibromyalgia and rheumatoid arthritis.

OBJECTIVES: The COVID-19 pandemic severely increased the stress levels in the population. The aim of present study was to investigate the impact of the lockdown measures on emotional well-being and disease activity in patients with fibromyalgia (FM) and rheumatoid arthritis (RA) through a telemedicine approach. METHODS: An on-line survey, including demographic characteristics, disease-activity and psychometric scales (Stress-related Vulnerability Scale, Resiliency scale), Zung Anxiety and Depression Self-assessment Scale), was anonymously administered to FM, RA and healthy controls (HC). Disease activities were compared to the pre-lockdown cohort referring to our centre. RESULTS: Levels of anxiety and depression worthy of psychiatric attention were documented in 36.7% of FM, 14.6% of RA, 12.5% of HC and in 50% of FM, 17.1% of RA, 15% of HC, respectively. HC featured the highest stress scores, followed FM and then RA. RA showed higher resiliency than FM. Both anxiety and depression scores were significantly higher in FM than RA and HC. Disease severity was higher in RA patients and lower in FM patients when compared to the respective historical cohorts. CONCLUSIONS: Lockdown significantly affected emotional well-being and disease activity of patients suffering from rheumatic diseases. While HC showed a higher vulnerability to stress, RA patients showed a greater resilience compared to both HC and to FM patients, especially. Emotional disturbances are greater in patients with RDs and in particular with FM. The use of a telemedicine approach to screen for severe symptoms represents a useful addition to the overall management of rheumatic patients.

Factors related to alexithymia in patients with systemic sclerosis: a tight relationship with facial image dissatisfaction.

To assess clinical and psychosocial factors related to alexithymia in systemic sclerosis (SSc). We enrolled 40 consecutive SSc patients in a cross-sectional study evaluating alexithymia with Toronto Alexithymia scale (TAS-20). We measured Beck Depression inventory (BDI), Hamilton Anxiety rating scale (HAM-H), 36-Items Short-Form Healthy Survey (SF-36), Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue, Visual Analog Scale (VAS) pain, Pittsburgh Sleep Quality Index (PSQI), Satisfaction with Appearance Scale (SWAP), and Mouth Handicap in Systemic Sclerosis (MHISS). The prevalence of alexithymia was 42%. Alexithymic patients presented increased depressive (p = ≤ 0.001) and anxiety symptoms (p = ≤ 0.001), sleep disorders (p = 0.03), pain (p = 0.02), esthetic concerns (p = 0.03), disability in activities (p = 0.03) and reduced scores of SF-36 in mental components summary (MCS) (p = ≤ 0.001) and physical components summary (PCS) (p = 0.01). We found significant correlations with sleep disorders (r = 0.41, p = ≤ 0.001), BID (r = 0.35, p = 0.04), facial image dissatisfaction (r = 0.35, p = 0.04), mouth disability (r = 0.51, p = 0.005), depressive (r = 0.6, p = ≤ 0.001), and anxiety symptoms (r = 0.48, p = ≤ 0.001), fatigue (r = - 0.45 p = 0.005), SF-36 PCS (r = - 0.51, p = ≤ 0.001) and MCS (r = - 0.65, p = ≤ 0.001). In multiple linear regression analysis, SWAP facial was the only variable associated with TAS-20 [0.99 (0.48) p = 0.05]. Alexithymia correlates with several psychosocial factors but seems strongly related to facial image dissatisfaction.

Physical activity and sedentary behavior in patients with Systemic Lupus Erythematosus.

INTRODUCTION: The aim of this study was to evaluate the proportion of patients with Systemic Lupus Erythematosus (SLE) who did not met the WHO recommendations for physical activity and to evaluate the amount of time spent in sedentary behavior. METHODS: SLE patients were consecutively enrolled in a cross sectional study. The type and the time spent in physical activity and sedentary behavior were evaluated using the IPAQ short form questionnaire. The adequate physical activity was defined according to the 2010 WHO recommendations for health and the sedentary behavior according to the 2017 SBRN consensus. We also assessed quality of life using SF-36, mood disorders using BDI and HAM-H, fatigue using Facit-Fatigue and sleep disorders using PSQI scores. RESULTS: Physical activity was not sufficient to meet WHO recommendations in 56 of 93 SLE patients (60%). SLE patients spent a median (95% range) of 180 (0-600) minutes everyday in sedentary activities. The length of daily sedentary time was more than 6 hours in 25% of SLE patients. In multivariable analysis, the factors associated to the probability of not meeting WHO criteria was only the time of exposure to antimalarials (OR 0.88, p 0.03) and the factors related to the probability of being in the upper tertile of sedentary time (more than 270 minutes) were age (OR 1.04, p 0.02), disease activity expressed by SELENA-SLEDAI score (OR 1.2, p 0.01) and Facit-fatigue score (OR 0.94, p 0.04). CONCLUSION: A relevant proportion of SLE patients were inadequately physically active. It is essential to improve the awareness of the importance of increase physical activity and reduce sedentary time. A better control of disease activity and fatigue and a prolonged use of antimalarials could help to reach this notable goal.

The relation between, metabolic syndrome and quality of life in patients with Systemic Lupus Erythematosus.

INTRODUCTION: Systemic Lupus Erythematosus (SLE) is associated to an increased prevalence of Metabolic Syndrome (MeS) and to a reduction of Quality of Life (QoL). The aim of this study is to evaluate the association between MeS and QoL in SLE. METHODS: SLE patients were consecutively enrolled in a cross sectional study. MeS was defined according to IFD definition. Therapy with glucocorticoids (GC) and antimalarial was analyzed as cumulative years of exposure. We used a cut off of 7.5 mg of prednisone to define high daily dose of GC. QoL was quantified using SF-36. We used BDI and HAM-H to assess symptoms of mood disorders. Fatigue was evaluated using Facit-Fatigue, physical activity using IPAQ, sleep quality using PSQI and alexithymia using TAS-20. RESULTS: We enrolled 100 SLE patients. MeS prevalence was 34%. Patients with MeS presented reduced scores in SF-36 MCS and PCS compared to patients without MeS (p 0.03 and p 0.004). BDI and HAM-H score were significantly higher in patients meeting MeS criteria compared to subjects without MeS (p 0.004, p 0.02). These results were confirmed after adjustment for confounders. Compared to patients without MeS, those with MeS presented higher age, lower education level, higher recent SELENA-SLEDAI, higher number of flares, increased SDI, longer cumulative exposure to high dose GC and shorter duration of antimalarial therapy. In the multiple logistic regression model, the variable associated to the Odds Ratio of having MeS were: the average of recent SELENA-SLEDAI (OR 1.15 p 0.04), the years of exposure to high dose of GC (OR 1.18 p 0.004), the years of exposure to antimalarials (OR 0.82 p 0.03) and the BDI score (OR 1.1 p 0.005). CONCLUSION: A modern management of SLE should not miss to take all the possible measures to ensure an adequate QoL to SLE patients, with particular attention to those affected by MeS.