Dergiler / Journal of Medicine and Palliative Care / 2026 / Volume: 7 Issue: 3

The relationship between in-hospital mortality rate and laboratory and radiological findings during hospital admission in children with traumatic subarachnoid hemorrhage: a retrospective cohort study

Edip Varan(ANKARA YILDIRIM BEYAZIT UNIVERSITY)0000-0003-1018-8783
Nihal Ertürk(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, ACİL TIP ANABİLİM DALI)0009-0009-9800-6323
Tamer Durdu(SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, ACİL TIP ANABİLİM DALI)0000-0002-4321-1698
Sayfa
—
Yayın Tarihi
2026-06-25
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Larger multicenter studies are needed to confirm these findings and further clarify their prognostic value.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Aims: Pediatric traumatic subarachnoid hemorrhage (tSAH) is a serious consequence of head trauma and may indicate severe brain injury.
📊
Temel Bulgular & Veri:Methods: This retrospective study included 51 patients under 18 years diagnosed with tSAH at a tertiary emergency department between January 2024 and January 2025.
💡
Sonuç & Katkı:Larger multicenter studies are needed to confirm these findings and further clarify their prognostic value.
🔬Tür:Research Article
📍Kapsam:2024 Verileri
⚙️Değişkenler:Pediatric traumatic brain injury · traumatic subarachnoid hemorrhage · laboratory parameters

Abstract

Aims: Pediatric traumatic subarachnoid hemorrhage (tSAH) is a serious consequence of head trauma and may indicate severe brain injury. Early identification of high-risk patients is essential for timely intervention. Admission laboratory and cranial computed tomography (CT) findings may provide important prognostic information. To assess the association between admission laboratory parameters, cranial CT findings, and in-hospital mortality in pediatric patients with tSAH. Methods: This retrospective study included 51 patients under 18 years diagnosed with tSAH at a tertiary emergency department between January 2024 and January 2025. Demographic, clinical, laboratory, and CT data were collected. Mortality outcomes were compared using t-tests, Chi-square, or Fisher’s exact test. Due to the small number of deaths (n=6), analyses were considered exploratory. Results: Six patients (11.8%) died during hospitalization. Deceased patients were younger and more commonly injured in traffic accidents (p<0.05). Laboratory parameters associated with mortality included lower hemoglobin and platelet counts, higher leukocyte counts, glucose, creatinine, ALT, AST, INR, and lower arterial pH (all p<0.05). Cranial CT revealed that most deceased patients had additional intracranial injuries beyond isolated tSAH. Conclusion: Admission laboratory and cranial CT findings may be associated with in-hospital mortality in pediatric tSAH. These readily available data may support early risk stratification and clinical decision-making. Larger multicenter studies are needed to confirm these findings and further clarify their prognostic value.

🔖

Bu Makaleye Atıf Yap

Varan, E., Ertürk, N., Durdu, T. (2026). The relationship between in-hospital mortality rate and laboratory and radiological findings during hospital admission in children with traumatic subarachnoid hemorrhage: a retrospective cohort study. Journal of Medicine and Palliative Care, Volume: 7 Issue: 3. https://doi.org/10.47582/jompac.1854102

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (19)

  1. Taylor CA, Bell JM, Breiding MJ, Xu L. Traumatic brain injury-related emergency department visits, hospitalizations, and deaths in the United States. MMWR Surveill Summ. 2017;66(9):1-16. doi:10.15585/mmwr.ss6609a1
  2. Dalle C, Rennert RC, Schupper AJ, et al. The identification of a subgroup of children with traumatic subarachnoid hemorrhage at low risk of neurologic worsening. J Neurosurg Pediatr. 2018;22(5):559-566. doi:10. 3171/2018.5.PEDS18140
  3. Werner C, Engelhard K. Pathophysiology of traumatic brain injury. Br J Anaesth. 2007;99(1):4-9. doi:10.1093/bja/aem131
  4. Ichikawa R, Maeda Y, Shibuya A, et al. Prediction of poor prognosis after severe head injury in children using logistic regression. Pediatr Emerg Care. 2018;34(12):825-831. doi:10.1097/PEC.0000000000001321
  5. Sadamasa N, Yoshida K, Narumi O, et al. Prediction of mortality by hematological parameters on admission in patients with subarachnoid hemorrhage. Neurol Med Chir (Tokyo). 2011;51(11):745-748. doi:10.2176/nmc.51.745
  6. Tanaanantarak P, Suntornsawat S, Samphao S. Clinical characteristics associated with pediatric traumatic intracranial hemorrhage. Chin J Traumatol. 2024;27(6):334-339. doi:10.1016/j.cjtee.2024.03.003
  7. Loane DJ, Kumar A. Microglia in the TBI brain: the good, the bad, and the dysregulated. Exp Neurol. 2021;338:113641. doi:10.1016/j.expneurol. 2020.113641
  8. Liu J, Tian HL. Relationship between trauma-induced coagulopathy and progressive hemorrhagic injury in patients with traumatic brain injury. Chin J Traumatol. 2016;19(3):172-175. doi:10.1016/j.cjtee.2016.01.011
  9. Liu J, Wang J. Association between hemoglobin-to-red blood cell distribution width ratio and hospital mortality in patients with non-traumatic subarachnoid hemorrhage. Front Neurol. 2023;14:1180912. doi:10.3389/fneur.2023.1180912
  10. Sivashankar A, Swamiyappan SS, Visweswaran V, et al. Biochemical and radiological factors for prognostication of traumatic brain injury: an institutional experience. Cureus. 2023;15(6):e40999. doi:10.7759/cureus.40999
  11. Chen W, Chen Q, Wang Y, et al. Impact of mannitol on mortality in patients with non-traumatic intracerebral haemorrhage and acute kidney injury. Sci Rep. 2025;15:26612. doi:10.1038/s41598-025-11175-8
  12. Xu R, Zheng J, Guo Z, Sun X. Alanine aminotransferase predicts outcomes in elderly patients with aneurysmal subarachnoid hemorrhage. Curr Neurovasc Res. 2019;16(1):89-95. doi:10.2174/ 1567202616666190130094631
  13. Kochanek PM, Tasker RC, Carney N, et al. Guidelines for the management of pediatric severe traumatic brain injury. Pediatr Crit Care Med. 2019;20(Suppl 1):S1-S82. doi:10.1097/PCC.0000000000001735
  14. Simon DW, McGeachy MJ, Bayir H, et al. The far reaching scope of neuroinflammation after traumatic brain injury. Nat Rev Neurol. 2017; 13(3):171-191. doi:10.1038/nrneurol.2017.13
  15. Maegele M, Lefering R, Yucel N, et al. Coagulopathy and inflammation in traumatic brain injury. Lancet Neurol. 2017;16:630-637.
  16. Daley M, Cameron S, Ganesan SL, et al. Pediatric severe traumatic brain injury mortality prediction determined with machine learning-based modeling. Injury. 2022;53(3):992-998. doi:10.1016/j.injury.2022.01.008
  17. Abeytunge K, Miller MR, Cameron S, et al. Development of a mortality prediction tool in pediatric severe traumatic brain injury. J Neurotrauma. 2021;38(20):2813-2821. doi:10.1089/neu.2020.0039
  18. Chen S, Liu Z. Effect of hyperglycemia on all-cause mortality in pediatric brain injury. Medicine (Baltimore). 2020;99(48):e23369. doi:10.1097/MD.0000000000023369
  19. Hartanto AS, Faried A. Blood glucose as a prognostic predictor in traumatic brain injury. Korean J Neurotrauma. 2025;21(1):e2. doi:10. 13004/kjnt.2025.21.e2