DİLBER DURMAZ

Dr. DİLBER DURMAZ


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
Verified
Journal Article
Open access
PDF file
RÇRukiye Çiftçi
Rukiye Çiftçi
AKAhmet Kurtoğlu
Ahmet Kurtoğlu
Özgür EkenÖzgür Eken
Özgür Eken
DDDİLBER DURMAZ
DİLBER DURMAZ
SESerdar Eler
Serdar Eler
MAMonira I. Aldhahi
Monira I. Aldhahi
The aim of this study was to examine the factors affecting the shuttle walking test (SWT) in patients with chronic obstructive pulmonary disease (COPD). A total of 29 patients with COPD (the COPD group) and a healthy group (HG) of 34 women aged between 55 and 74 years were included in the study. After the pulmonary function profiles of the participants were assessed, and the SWT was performed. Walking distances, walking speeds, and SWT levels (SWT-L) were determined with the SWT. Before and after the SWT, the heart rate (HR), oxygen saturation level (SPO2), and Borg scale (perceived exertion (BSe) and dyspnea (BSd)) results were analyzed with a paired sample t-test. The dyspnea levels during activity of daily living were determined with the Medical Research Council (MRC) dyspnea scale, and the relationship between MRC dyspnea (MRCD) and walking distance, speed, and SWT-L was tested using multiple linear regression and Pearson correlation analysis. The walking distance, speed, and SWT-L were lower in the COPD group (p < 0.001) than in the HG. The HR values before and after the SWT changed significantly in the COPD group and the HG (p< 0.001), and the effect size was higher in the COPD group. Although the BSe and BSd results before and after the SWT in the COPD group increased significantly (p < 0.001), they did not change in the HG. There was a highly negative correlation between MRCD and walking distance, speed, and SWT-L in the COPD group (p = 0.002, p = 0.000, and p = 0.001, respectively), but no correlation was found in the HG. The results showed that the HR, perceived exertion, and dyspnea levels of women with COPD whose respiratory functions were lower than the HG were significantly affected on the SWT.

5 September 2026
Verified
Conference Paper
Closed access
DDDİLBER DURMAZ
DİLBER DURMAZ
NKNaime Meric Konar
Naime Meric Konar
Introduction: COPD often leads to changes in body composition, characterized by muscle wasting and decreased bone density. HALP (hemoglobin, albumin, lymphocyte, and platelet) score indicates systemic inflammation. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and eosinophil-to-lymphocyte ratio (ELR) have been found to be associated with increased mortality in COPD exacerbation. Aims and objectives: To examine the relationship between NLR, PLR, MLR, HALP score, and body composition parameters in stable COPD patients. Methods: Ninety-nine stable COPD patients (90 male/9 female) were weighed. The mean age was 67±8,4. Their complete blood count and albumin levels were measured on the same day. The Kruskal-Wallis test was used for group comparisons, and the Dunn test was applied for post-hoc testing. Spearman correlation analysis was used to evaluate the relationship between parameters. Results: Total body muscle weight (TBMW), daily calorie need (DCN), basal metabolic rate (BMR), right leg fat (RLF), left leg fat (LLF), left arm fat (LAF), right arm muscle (RAM), torso muscle weight (TMW), total fat and total body water, bone mass (BM), and non-fat weight (NFW) were negatively correlated with PLR (p<0.05). TBMW, TMW, BM, and NFW negatively correlated with NLR (p<0.05). TBMW, DCN, BMR, RLF and LLF, LAF and RAF, RAM and left arm muscle, TMW, total fat and total body water weight, BM, and NFW were positively correlated with HALP score (p<0.05). Conclusions: PLR and NLR negatively correlated with decreased muscle weight and bone loss. However HALP score positively correlated. Blood tests, which can be performed even in primary and secondary care settings, can provide insight into body composition parameters in COPD patients.

16 June 2025 in Healthcare
Verified
Journal Article
Open access
PDF file
AKAhmet Kurtoğlu
Ahmet Kurtoğlu
Özgür EkenÖzgür Eken
Özgür Eken
RÇRukiye Çiftçi
Rukiye Çiftçi
IÇipek balıkçı çiçek
ipek balıkçı çiçek
DDDİLBER DURMAZ
DİLBER DURMAZ
MAMonira I. Aldhahi
Monira I. Aldhahi
Background/Objectives: Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disorder characterized by systemic manifestations, including altered body composition, reduced quality of life, and psychological distress. Despite its significance, the relationship between body composition parameters and symptoms of fatigue, anxiety, and depression in patients with COPD remains underexplored. This study aimed to examine the association between detailed body composition metrics and quality of life, fatigue, and anxiety and depression symptoms in male patients with COPD compared to healthy controls. Methods: This cross-sectional study included 49 men with COPD and 51 age-matched healthy controls aged 50–80 years. Body composition was assessed using bioelectrical impedance analysis (BIA). Pulmonary function, dyspnea, activities of daily living, and psychological status were evaluated using spirometry, the Medical Research Council Dyspnea Scale, the London Chest Activity of Daily Living Scale (LCADL), and the Hospital Anxiety and Depression Scale (HADS), respectively. Results: Compared to the controls, patients with COPD exhibited significantly lower forced expiratory volume in one second (FEV1: 1.1 vs. 2.16 L; p < 0.001), lower fat mass (15.0 vs. 24.3 kg; p < 0.001), and higher muscle mass (53.8 vs. 42.0 kg; p < 0.001). They also reported significantly greater fatigue (Borg scale: 4 vs. 0; p < 0.001), higher anxiety (8 vs. 5; p = 0.006), and depression scores (11 vs. 5; p < 0.001), along with more pronounced limitations in their daily activities. Conclusions: COPD is associated with profound impairments in body composition, physical function, and mental health. Detailed body composition analysis using BIA provides valuable clinical insights and may aid in tailoring individualized interventions to improve quality of life and psychological outcomes in COPD management.