Adnan Ata

Dr. Adnan Ata

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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8 July 2025 in Biomedicines
Verified
Journal Article
Open access
PDF file
ÖEÖmer Emgin
Ömer Emgin
EKElif Rana Kılıç
Elif Rana Kılıç
İTİmren Taşkıran
İmren Taşkıran
EHEngin Haftacı
Engin Haftacı
AAAdnan Ata
Adnan Ata
MYMehmet Yılmaz
Mehmet Yılmaz
Background: The Systemic Inflammation Index (SII), associated with increased systemic inflammation and adverse outcomes, has been demonstrated to be efficacious and a significant biomarker in different patient populations. This investigation aims to examine the correlation between the admission SII, a relatively new biomarker, and 28-day mortality outcomes in intensive care units (ICUs). Methods: This retrospective cohort analysis was undertaken in a tertiary-level ICU in Turkey from 3 April 2024 through 31 December 2024. Baseline demographic data, clinical characteristics, and laboratory parameters were recorded. Inflammatory parameters such as SII, NLR, and PLR were calculated at the time of ICU admission. SII = neutrophil count (103/ill) × PLT count (103/μL)/lymphocyte count, NLR = neutrophil count (103/μL)/lymphocyte count (103/μL), and PLR = PLT (103/μL)/lymphocyte count (103/μL). Results: In this study, a total of 702 patients who met the eligibility criteria were recruited. The study’s overall mortality rate for 28 days was 36.9% with 259 deaths. The median age of the cohort was 70 years (57–80), with 41.6% of the participants being female. The SII was markedly elevated in non-survivors compared to survivors (p = 0.010). The analysis revealed that the SII/1000 was an independent predictor of elevated mortality risk (OR 1.029, 95% CI 1.001–1.057, p = 0.042). Conclusions: The identification of the Systemic Inflammation Index on admission to the ICUs is of critical importance. The SII has been demonstrated to serve as a significant and independent predictor of mortality. There is a need for prospective and large-scale studies to generalize this finding to other populations or for more widespread use in clinical practice.

15 January 2026 in Medicina
Verified
Journal Article
Open access
PDF file
ÖEÖmer Emgin
Ömer Emgin
GTGamze Taşkan
Gamze Taşkan
AYAytuğ Yıldız
Aytuğ Yıldız
İTİmren Taşkıran
İmren Taşkıran
EHEngin Haftacı
Engin Haftacı
MYMehmet Yılmaz
Mehmet Yılmaz
Background and Objectives: The study aimed to evaluate the predictive significance of Shock Indices and induction agents in predicting the risk of Peri-Intubation Cardiovascular Collapse (PIC) during intubation in the ICU. Materials and Methods: A total of 130 patients were analyzed in the study after dividing them into 2 groups based on the definition of PIC as Patients with PIC and Non-PIC Patients. PIC was defined as the detection of at least SBP < 65 mmHg measured at least once within 30 min after the intubation, SBP < 90 mmHg for 30 min, initiation of norepinephrine treatment, increasing the norepinephrine dose taken before the intubation, increasing SBP to >90 mmHg with >15 mL/kg crystalloid fluid infusion, or development of cardiac arrest. The relationship between Shock Index (SI), Diastolic Shock Index (DSI), Modified Shock Index (MSI), Age Shock Index (Age-SI), and induction agents (ketamine, propofol) and PIC was evaluated. Results: The PIC was detected in 62 patients (47.7%). Age-SI showed the highest predictive performance (AUC = 0.686, p < 0.001). Ketamine provided a protective effect (OR = 0.161, p = 0.003). Propofol (OR = 2.962, p = 0.048), age (OR = 1.065, p = 0.002), lactate (OR = 1.265, p = 0.047), and DSI (OR = 2.300, p = 0.037) were identified as independent risk factors. ICU mortality was significantly higher in the PIC group (74.2% vs. 20.6%, p < 0.001). Conclusions: Age, lactate, DSI, and Age-SI are valuable predictive parameters for PIC. Ketamine reduces the risk of PIC, while propofol increases it. These results support evidence-based risk assessment and induction agent selection in ICU intubation protocols.

12 February 2026 in TURKISH JOURNAL OF MEDICAL SCIENCES
Verified
Journal Article
Open access
PDF file
SYSüleyman Yildirim
Süleyman Yildirim
NÖNurhayat Kilinç Özgün
Nurhayat Kilinç Özgün
ÖAÖzcan Alpdoğan
Özcan Alpdoğan
HUHüseyin Uçar
Hüseyin Uçar
ITİmRen Taşkiran
İmRen Taşkiran
CKCenk Kirakli
Cenk Kirakli
Background/aim: Invasive mechanical ventilation (IMV) is a fundamental intervention for patients with respiratory failure in intensive care units (ICUs). This nationwide, multicenter point-prevalence study aimed to describe current mechanical ventilation mode preferences (conventional, adaptive, and biphasic) in Turkish ICUs and to report associated clinical outcomes descriptively, without assessing causal relationships. Materials and methods: A nationwide, multicenter point-prevalence study was conducted on 17 April 2024 and included adult patients (≥18 years) who had been receiving IMV for more than 24 h. Data on patient demographics, ventilation mode distribution, ventilatory parameters, and descriptive clinical outcomes on day 28 (weaning status, tracheostomy, and mortality) were recorded without comparative outcome analysis. Results: A total of 426 patients were included. Conventional modes were used in 84.5% of patients, adaptive modes in 10.6%, and biphasic modes in 4.9%. Synchronized intermittent mandatory ventilation (SIMV) was the most commonly used conventional mode. The primary indication for IMV was acute respiratory failure (61%), with pneumonia being the leading cause. Among the 350 orotracheally intubated patients, 25.6% were in the weaning phase on the study day. A total of 59 (16.9%) patients were extubated, 150 (42.9%) underwent tracheostomy, and 64 (18.2%) remained intubated on day 28. Overall, 185 (43.4%) patients died during their ICU stay, 152 (35.7%) remained in the ICU, and 89 (20.9%) were successfully discharged from the ICU. Conclusion: Conventional ventilation modes, particularly SIMV, were more commonly used in Turkish intensive care units (ICUs), whereas adaptive modes were less frequently applied. These patterns may reflect factors such as clinician familiarity, institutional practices, and equipment availability rather than definitive preferences. Although the impact of ventilation modes on clinical outcomes was not comparatively evaluated in this study, the choice of ventilation mode may still influence patient outcomes. Therefore, further prospective and comparative studies are warranted to better elucidate this relationship.

17 April 2025
Verified
Book
Open access
PDF file
İTİmren Taşkıran
İmren Taşkıran
ÖEÖmer Emgin
Ömer Emgin
YÖYakup Özgüngör
Yakup Özgüngör
EHEngin Haftacı
Engin Haftacı
MGMurat Güneş
Murat Güneş
TATurgay Atay
Turgay Atay
Yoğun Bakımda Akciğer Tüberkülozu: Tanı, Tedavi ve İzolasyon İmren TAŞKIRAN Erişkin Yoğun Bakım Hasta Popülasyonunun Özellikleri ve Yoğun Bakımda Güncel Sorunlar Ömer EMGİN Yaşam Sonu Bakımı: Etik, Klinik ve Kişisel Perspektifler Yakup ÖZGÜNGÖR Yoğun Bakımda Enteral ve Parenteral Beslenme Engin HAFTACI Yoğun Bakımda Hasta ve Hasta Yakını İletişimi Murat GÜNEŞ Beyin Ölümü Tanısı-Güncel Konular Mehmet YAVUZ Yoğun Bakımda Tiroid Fonksiyon Bozuklukları Uğur AYDOĞAN Yoğun Bakımda Adrenal Yetmezlik Ebru AYDOĞAN Yoğun Bakımda Obstrüktif Uyku Apne Sendromu Engin KIRMIZIGÜL Donör Bakımı Ayşe ÇAPAR Yoğun Bakımda İnflamatuar Barsak Hastalıkları Adnan ATA Yoğun Bakımda Plevral Efüzyon ve Ultrasonografi Ömer KEKLİCEK Yoğun Bakım Hastalarında Venöz Tromboembolizm Turgay ATAY