Person:
AKOĞLU, HALDUN

Profile Picture

Email Address

Birth Date

Research Projects

Organizational Units

OrgUnit Logo
Organizational Unit

Job Title

Last Name

AKOĞLU

First Name

HALDUN

Name

Filters

2021 - 20243
Reset filters

Settings

Author: ONUR, ÖZGE ECMEL × Subject: Health Sciences ×

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    PublicationOpen Access
    Determination of Pro-BNP and Troponin I Levels for ShortTerm Mortality Prediction in Ischemic Stroke Patients who did not Undergo Revascularization
    (2022-01-01) ÖZPOLAT, ÇİĞDEM; ONUR, ÖZGE ECMEL; DENİZBAŞI ALTINOK, ARZU; AKOĞLU, HALDUN; Aydın N., Özpolat Ç., Onur Ö. E. , Akoğlu H., Denizbaşı Altınok A.
    Introduction: Emergency departments (EDs) are the first place to start treatment for most stroke patients. Prognozing patients for planning and proper management of the therapies have an important place in approaching stroke patients. Many studies have been carried out with serum biomarkers especially in terms of prognosis stroke. Our objective, in this study, is to research short-term (14th day) mortality prediction of serum Troponin I (TnI) and pro-brain natriuretic peptide (BNP) levels. Methods: This was a prospective and observational prognostic test study. All consecutive patients admitted to the ED with the onset of symptoms in the past 24 h and diagnosed with the first episode of acute ischemic stroke were included in the study. A total of 121 subjects were included in the study. On admission, pro-BNP and TnI were collected from all subjects. On the 14th day of admission, patients were checked for mortality. Results: Of 121 patients, 14 (11.5%) had a mortal outcome at the end of the 14th day. The overall median pro-BNP level of all patients was 799.00 pg/ml (IQR: 220.00–2818.25). The median pro-BNP level of the non-survivor group was significantly higher than that of the survivor group (p:0.030). However, there was no significant difference between the TnI levels of the mortality groups. The optimal cutoff value of serum pro-BNP levels as an indicator of mortality on the 14th day was estimated to be 509 pg/ml (sensitivity: 85.7%, specificity: 49.5%, and AUC: 0.68 [95% CI, 0.59–0.769]). Discussion and Conclusion: Various biomarkers are investigated for prediction of mortality in ischemic stroke patient. According to our study, elevated pro-BNP values are associated with mortality. Further study with larger patient cohorts can be studied regarding the relationship between these threshold, in terms of predicting the mortality, in a more comprehensive study, as well as using subgroup and underlying conditions.
  • Thumbnail Image
    PublicationOpen Access
    Diagnostic accuracy of the ECG criteria for left ventricular hypertrophy (cornell voltage criteria, sokolow-lyon index, romhilt-estes, and peguero-lo presti criteria) compared to transthoracic echocardiography
    (2021-03-01) AKOĞLU, HALDUN; ONUR, ÖZGE ECMEL; KARACABEY, SİNAN; EFEOĞLU, MELİS; DENİZBAŞI ALTINOK, ARZU; Akoğlu H., Onur Ö. E., Karacabey S., Efeoğlu Saçak M., Denizbaşı Altınok A.
    Objective/Aim: We aimed to evaluate the diagnostic utility of the widely used left ventricular hypertrophy (LVH) electrocardiography (ECG) criteria (Cornell Voltage Criteria [CVC], Sokolow-Lyon Index [SLI], RomhiltEstes [REC], and Peguero-Lo Presti [PLP] Criteria) compared with the left ventricular mass measured by echocardiography. Methods: In this prospective diagnostic accuracy study, we screened all consecutive adults (18 to 65 years) who presented to our academic emergency department (ED) with increased blood pressure (≥130/85 mmHg) between January 2016 and January 2017, and we enrolled a convenience sample of 165 patients in our study. The attending emergency physician managed all patients as per their primary complaint. The consulting cardiologist performed a transthoracic echocardiogram (TTE) of the patient and calculated the left ventricular mass (LVM) according to the American Society of Echocardiography (ASE) formula. After completing the patient recruitment phase, researchers evaluated all ECGs and calculated scores for SLI, CVC, REC, and PLP. We used contingency tables to calculate the diagnostic utility metrics of all ECG criteria. Results: The prevalence of LVH by TTE was 31.5%. CVC, SLI, REC, and PLP criteria correctly identified (true positive rate) abnormal LVM in only 3.9%, 1.9%, 9.6%, and 19.2% of the patients, respectively. CVC, SLI, REC score and PLP criteria performed poorly with extremely low sensitivities (3.9%, 1.9%, 10%, 19.2%) and poor accuracies (67.3%, 64.9%, 57.7%, 69.7%). Conclusion: ECG voltage criteria's clinical utility in estimating LVM and LVH is low, and it should not be used for this purpose.
  • Thumbnail Image
    PublicationOpen Access
    Effect of access block on emergency department crowding calculated by NEDOCS score
    (2024-08-01) ALTUN, MUSTAFA; KARACABEY, SİNAN; SANRI, ERKMAN; ONUR, ÖZGE ECMEL; DENİZBAŞI ALTINOK, ARZU; AKOĞLU, HALDUN; Altun M., Kudu E., Demir O., KARACABEY S., SANRI E., ONUR Ö. E., DENİZBAŞI ALTINOK A., AKOĞLU H.
    Objective: Emergency department (ED) crowding poses a significant challenge in healthcare systems globally, leading to delays in patient care and threatening public health and staff well-being. Access block, characterized by delays in admitting patients awaiting hospitalization, is a primary contributor to ED overcrowding. To address this issue, the National Emergency Department Overcrowding Study (NEDOCS) score provides an objective framework for assessing ED crowding severity. This study aims to evaluate the impact of access block on ED crowding using the NEDOCS score and to explore strategies for mitigating overcrowding through scenarios over a 39-day period. Methods: A single-center, prospective, observational study was conducted in an urban tertiary care referral center. The NEDOCS score was collected six times daily, including variables like total ED patients, ventilated patients, boarding patients, the longest waiting times, and durations of boarding patients. NEDOCS scores were recorded, and calculations were performed to assess the potential impact of eliminating access block in scenarios. Results: NEDOCS scores ranged from 62.4 to 315, with a mean of 146, indicating consistent overcrowding. Analysis categorized ED conditions into different levels, revealing that over 81.2% of the time, the ED was at least overcrowded. The longest boarding patient\"s waiting duration was identified as the primary contributor to NEDOCS (48.8%). Scenarios demonstrated a significant decrease in NEDOCS when access block was eliminated through timely admissions. Shorter boarding times during non-working hours suggest the potential mitigating effect of external factors on the access barrier. Additionally, daytime measurements were associated with lower patient admissions and shorter wait times for initial assessment. Conclusion: Although ED crowding is a multifactorial problem, our study has shown that access block contribute significantly to this problem. The study emphasizes that eliminating access block through timely admissions could substantially alleviate crowding, highlighting the importance of addressing this issue to enhance ED efficiency and overall healthcare delivery.