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Fibromyalgia: HELP
Articles by Selcuk Comlekci
Based on 2 articles published since 2008
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Between 2008 and 2019, Selcuk Comlekci wrote the following 2 articles about Fibromyalgia.
 
+ Citations + Abstracts
1 Article Physiological parameters as a tool in the diagnosis of fibromyalgia syndrome in females: A preliminary study. 2016

Elmas, Onur / Yildiz, Sedat / Bilgin, Suleyman / Demirci, Seden / Comlekci, Selcuk / Koyuncuoglu, Hasan Rifat / Akkus, Selami / Colak, Omer Halil / Etem Koklukaya, ? / Arslan, Evren / Ozkan, Ozhan / Bilgin, Gurkan. ·Mugla Sitki Kocman University, Faculty of Medicine, Department of Physiology, Mugla 48000, Turkey. Electronic address: onurelmas@outlook.com. · Suleyman Demirel University, Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Isparta, Turkey. · Akdeniz University, Faculty of Engineering, Department of Electrical and Electronics Engineering, Antalya, Turkey. · Suleyman Demirel University, Department of Electronics and Communication Engineering, Isparta, Turkey. · Suleyman Demirel University, Faculty of Medicine, Department of Neurology, Isparta, Turkey. · Yildirim Beyazit University, Faculty of Medicine, Department of Physical Medicine and Rehabilitation, Ankara, Turkey. · Sakarya University, Faculty of Engineering, Department of Electrical and Electronics Engineering, Sakarya, Turkey. · Mehmet Akif Ersoy University, Burdur Junior Technical College, Burdur, Turkey. ·Life Sci · Pubmed #26685758.

ABSTRACT: AIMS: Although fibromyalgia (FM) syndrome is associated with many symptoms, there is as yet no specific finding or laboratory test diagnostic of this syndrome. The physical examination and laboratory tests may be helpful in figuring out this syndrome. MATERIALS AND METHODS: The heart rate, respiration rate, body temperature (TEMP), height, body weight, hemoglobin level, erythrocyte sedimentation rate, white blood cell count, platelet count (PLT), rheumatoid factor and C-reactive protein levels and electrocardiograms (ECG) of FM patients were compared with those of control individuals. In addition, the predictive value of these tests was evaluated via receiver operating characteristic (ROC) analysis. KEY FINDINGS: The results showed that the TEMP and the PLT were higher in the FM group compared with the control group. Also, ST heights in ECGs which corresponds to a period of ventricle systolic depolarization, showed evidence of a difference between the FM and the control groups. There was no difference observed in terms of the other parameters. According to the ROC analysis, PLT, TEMP and ST height have predictive capacities in FM. SIGNIFICANCE: Changes in hormonal factors, peripheral blood circulation, autonomous system activity disorders, inflammatory incidents, etc., may explain the increased TEMP in the FM patients. The high PLT level may signify a thromboproliferation or a possible compensation caused by a PLT functional disorder. ST depression in FM patients may interrelate with coronary pathology. Elucidating the pathophysiology underlying the increases in TEMP and PLT and the decreases in ST height may help to explain the etiology of FM.

2 Article Investigation of the relationship between anxiety and heart rate variability in fibromyalgia: A new quantitative approach to evaluate anxiety level in fibromyalgia syndrome. 2015

Bilgin, Suleyman / Arslan, Evren / Elmas, Onur / Yildiz, Sedat / Colak, Omer H / Bilgin, Gurkan / Koyuncuoglu, Hasan Rifat / Akkus, Selami / Comlekci, Selcuk / Koklukaya, Etem. ·Department of Electrical and Electronics Engineering, Faculty of Engineering, Akdeniz University, Antalya, Turkey. Electronic address: suleymanbilgin@akdeniz.edu.tr. · Department of Electrical and Electronics Engineering, Faculty of Engineering, Sakarya University, Sakarya, Turkey. Electronic address: earslan@sakarya.edu.tr. · Department of Physiology, Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey. Electronic address: onurelmas@mu.edu.tr. · Suleyman Demirel University, Isparta, Turkey. Electronic address: dr_sedatyildiz@yahoo.com. · Department of Electrical and Electronics Engineering, Faculty of Engineering, Akdeniz University, Antalya, Turkey. Electronic address: omercol@akdeniz.edu.tr. · Department of Industrial Electronics, Technical Vocational School, Mehmet Akif Ersoy University, Burdur, Turkey. Electronic address: gbilgin@mehmetakif.edu.tr. · Department of Neurology, Faculty of Medicine, Suleyman Demirel University, Isparta, Turkey. Electronic address: hasanr@med.sdu.edu.tr. · Suleyman Demirel University, Isparta, Turkey. Electronic address: selamiakkus@ybu.edu.tr. · Department of Electronics and Communication Engineering, Faculty of Engineering, Suleyman Demirel University, Isparta, Turkey. Electronic address: scom@mmf.sdu.edu.tr. · Sakarya University, Sakarya, Turkey. Electronic address: ekoklukaya@gazi.edu.tr. ·Comput Biol Med · Pubmed #26520483.

ABSTRACT: BACKGROUND: Fibromyalgia syndrome (FMS) is identified by widespread musculoskeletal pain, sleep disturbance, nonrestorative sleep, fatigue, morning stiffness and anxiety. Anxiety is very common in Fibromyalgia and generally leads to a misdiagnosis. Self-rated Beck Anxiety Inventory (BAI) and doctor-rated Hamilton Anxiety Inventory (HAM-A) are frequently used by specialists to determine anxiety that accompanies fibromyalgia. However, these semi-quantitative anxiety tests are still subjective as the tests are scored using doctor-rated or self-rated scales. METHOD: In this study, we investigated the relationship between heart rate variability (HRV) frequency subbands and anxiety tests. The study was conducted with 56 FMS patients and 34 healthy controls. BAI and HAM-A test scores were determined for each participant. ECG signals were then recruited and 71 HRV subbands were obtained from these ECG signals using Wavelet Packet Transform (WPT). The subbands and anxiety tests scores were analyzed and compared using multilayer perceptron neural networks (MLPNN). RESULTS: The results show that a HRV high frequency (HF) subband in the range of 0.15235Hz to 0.40235Hz, is correlated with BAI scores and another HRV HF subband, frequency range of 0.15235Hz to 0.28907Hz is correlated with HAM-A scores. The overall accuracy is 91.11% for HAM-A and 90% for BAI with MLPNN analysis. CONCLUSION: Doctor-rated or self-rated anxiety tests should be supported with quantitative and more objective methods. Our results show that the HRV parameters will be able to support the anxiety tests in the clinical evaluation of fibromyalgia. In other words, HRV parameters can potentially be used as an auxiliary diagnostic method in conjunction with anxiety tests.