Quality of life and functional capacity are adversely affected in osteoarthritis patients with neuropathic pain.

The aim of this study was to examine the neuropathic pain component of knee osteoarthritis (OA) patients and to investigate the relationship between neuropathic pain, disease stage, functional state, depression, anxiety, and quality of life. This study included 60 patients with knee OA. All demographic data and radiological results were recorded. Visual Analog Scale (VAS), Timed Up and Go Test, Chair Stand Test, Western Ontario and McMasters Universities Osteoarthritis Index (WOMAC), PainDETECT questionnaire, DN4 questionnaire, Short form-36 questionnaire, and Hospital Anxiety Depression Scale were performed for each patient. Neuropathic pain was detected in 66.7% of patients based on the PainDETECT scale and in 46.7% of patients based on DN4 scale. VAS-resting, OA grade, WOMAC scores, and SF-scores showed a significant difference in patients that detected neuropathic pain with PainDETECT (p<0.05). Based on the DN4 scale, patients with neuropathic pain had significantly higher WOMAC scores and significantly lower SF-36 scores (p<0.05). The PainDETECT questionnaire scores showed positive correlations with Timed Up-and-go Test, VAS-resting, WOMAC scores, Hospital Anxiety Depression Scale scores, and a negative correlation with all SF-36 scores (p<0.05). DN4 questionnaire scores showed a negative correlation with SF-36 scores and positive correlation with WOMAC scores (p<0.05). To conclude, it should be kept in mind that patients with knee OA who describe intense pain may have a neuropathic component involved in the clinical condition. Quality of life and functional capacity are adversely affected in patients with knee OA who have neuropathic pain. This should be taken into account while planning the treatment of these patients.

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

OBJECTIVE: It is aimed to determine the prevalence of fibromyalgia syndrome (FMS) and its correlations with arrhythmia in patients with palpitations. MATERIAL AND METHODS: Sixty-two patients who underwent electrophysiological study (EPS) due to palpitation complaints in Cardiology department and 40 healthy controls were included in the study. The precise diagnosis of arrhythmia was established using EPS. All participants were screened for FMS using American College of Rheumatology 2010 Fibromyalgia diagnostic criteria. Clinical assessments included measurement of severity of pain, fatigue and morning fatigue with visual analog scale (VAS), functional status with Fibromyalgia Impact Questionnaire (FIQ), and anxiety/depression with Hospital Anxiety and Depression Scale (HAD). RESULTS: FMS was diagnosed in 22 of the 62 patients (36%), and 4 of the 40 healthy controls (10%) (p 0.05). EPS+ patients with FMS had higher fatigue levels, HAD and FIQ scores than EPS- patients, although statistically insignificant. HV durations were statistically longer in the EPS- subgroup (p < 0.05) but other EPS data were similar. CONCLUSION: FMS frequency and HAD anxiety scores were found to be higher in patients with palpitation complaints. However, we found no association between arrhythmia, EPS parameters and FMS. In our clinical practice we should keep in mind to carry out assessments in terms of FMS in patients with palpitation.