MAÜ GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Yeşil, Ahmet

Profile Picture
Name Variants
Job Title
Dr. Öğr. Üyesi
Email Address
Main Affiliation
Department of Internal Medical Sciences / Dahili Tıp Bilimleri Bölümü
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals Report Points

SDG data could not be loaded because of an error. Please refresh the page or try again later.
Scholarly Output

1

Articles

1

Citation Count

0

Supervised Theses

0

Filters

20231
Reset filters

Settings

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Article
    The Diagnostic Role Of End-Tidal CO2 To Distinguish Unstable Angina Pectoris In Patients With Chest Pain
    (2023) Günlü, Serhat; Yeşil, Ahmet; Kayan, Fethullah; Karahan, Mehmet Zülkif; Department of Internal Medical Sciences / Dahili Tıp Bilimleri Bölümü
    Objective: Unstable angina pectoris (UAP), one of the acute coronary syndrome (ACS) types, is difficult to identify from non-cardiac chest pain (non-CCP), hence various strategies are applied for accurate diagnosis. This study aims to examine whether non-invasively measured end-tidal CO2 (ETCO2) can detect UAP in patients admitted to the emergency department (ED) with chest pain in the lack of a cardiovascular history. Methods: This research was conducted as a prospective observational study. The individuals were separated into two groups based on the inclusion and exclusion criteria: 75 patients with non-CCP and 75 UAP. Analyses of receiver operating characteristics (ROC) were utilized to define the diagnostic value cutoff. Using univariate regression analysis, the odds ratio of ETCO2 (with 95%CI) was computed for UAP prediction. Results: ETCO2 levels were substantially lower in the UAP group compared to the non-CCP group (p<0.001). Analysis of the ROC curve revealed that a decreased ETCO2 <35 predicted UAP with 78% sensitivity and 89% specificity (AUC:0.81, p <0.001). In addition, the negative predictive value was 71.6%, and the positive predictive value was 79.4%. Patients with UAP were 8.84 times more likely to have ETCO2 <35 than patients with non-CCP. Conclusion: UAP may be differentiated from non-CCP by ETCO2 measured as a non-invasive parameter in patients with chest pain.