Akın Öztürk
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Akın Öztürk has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Alper Gönbe
Department of Orthopedics and Traumatology, Faculty of Medicine, Erzincan Binali Yıldırım University, 24100 Erzincan, Turkey
1 shared publication - Berat Avcı
Department of Orthopedics and Traumatology, Faculty of Medicine, Erzincan Binali Yıldırım University, 24100 Erzincan, Turkey
1 shared publication - Furkan Yapici
Department of Orthopedics and Traumatology, Faculty of Medicine, Erzincan Binali Yıldırım University, 24100 Erzincan, Türkiye
1 shared publication - Hakan Sofu
Department of Orthopedics and Traumatology, Faculty of Medicine, Istanbul Nişantaşı University, 34398 İstanbul, Turkey
1 shared publication - Hamit Çağlayan Kahraman
Department of Orthopedics and Traumatology, University of Health Sciences, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Türkiye
1 shared publication - Ibrahim Doğan
Department of Orthopedics and Traumatology, Faculty of Medicine, Erzincan Binali Yıldırım University, 24100 Erzincan, Turkey
1 shared publication
Latest Publications
- Open Access
- 9 July 2026
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 15 (14) , 5400
Preoperative Geriatric Nutritional Risk Index (GNRI) and Comorbidity Burden as Mortality Risk Markers After Proximal Femoral Nailing in Older Patients with Pertrochanteric Hip Fractures
Background: Mortality after geriatric hip-fracture surgery remains substantial. This study evaluated whether preoperative GNRI, comorbidity burden, and CBC-derived inflammatory indices were associated with one-year and long-term mortality after PFN for pertrochanteric/intertrochanteric fractures. Methods: In this single-centre retrospective cohort study of prognostic risk markers, 248 PFN records were screened. After excluding six incomplete records and 25 patients aged p = 0.012), and in Firth penalized sensitivity analysis (OR 5.51, 95% CI 1.34–22.61; p = 0.018). In Cox analysis, age, ASA III–IV, available Charlson-domain comorbidity burden, and lower continuous GNRI were associated with long-term mortality, whereas adding GNRI < 82 and NLR did not materially improve cross-validated discrimination. Conclusions: GNRI < 82 identified a small subgroup with high observed mortality after PFN. Because the subgroup was sparse and biomarker addition did not materially improve internally validated discrimination, GNRI should be treated as an alerting clinical flag rather than a stand-alone basis for patient-level risk prediction. External validation is required.
- 9 July 2026
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 15 (14) , 5400
Open AccessPreoperative Geriatric Nutritional Risk Index (GNRI) and Comorbidity Burden as Mortality Risk Markers After Proximal Femoral Nailing in Older Patients with Pertrochanteric Hip Fractures
Background: Mortality after geriatric hip-fracture surgery remains substantial. This study evaluated whether preoperative GNRI, comorbidity burden, and CBC-derived inflammatory indices were associated with one-year and long-term mortality after PFN for pertrochanteric/intertrochanteric fractures. Methods: In this single-centre retrospective cohort study of prognostic risk markers, 248 PFN records were screened. After excluding six incomplete records and 25 patients aged p = 0.012), and in Firth penalized sensitivity analysis (OR 5.51, 95% CI 1.34–22.61; p = 0.018). In Cox analysis, age, ASA III–IV, available Charlson-domain comorbidity burden, and lower continuous GNRI were associated with long-term mortality, whereas adding GNRI < 82 and NLR did not materially improve cross-validated discrimination. Conclusions: GNRI < 82 identified a small subgroup with high observed mortality after PFN. Because the subgroup was sparse and biomarker addition did not materially improve internally validated discrimination, GNRI should be treated as an alerting clinical flag rather than a stand-alone basis for patient-level risk prediction. External validation is required.