Ahmed Aloraidi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Ahmed Aloraidi has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Ali Alkhaibary
College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
1 shared publication - Fahad Khalid Alsharef
College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
1 shared publication - Hussam Alhathlol
College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
1 shared publication - Khaled Ibrahim Almedemgh
College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
1 shared publication - Mohammed Alharbi
Department of Neurosurgery, King Abdulaziz Medical City, Riyadh, Saudi Arabia
1 shared publication - Mohammed Fahad Almutairi
Department of Neurosurgery, King Abdulaziz Medical City, Riyadh, Saudi Arabia
1 shared publication
Latest Publications
- Open Access
- 3 April 2026
- Published by Scientific Scholar in Surgical Neurology International
- Vol. 17, 204
Cerebrospinal fluid leak following traumatic skull base fractures: Predictors and outcomes
Background: Traumatic skull base fractures carry a risk of cerebrospinal fluid (CSF) leak, predisposing patients to meningitis, neurological complications, and prolonged hospitalization. Predictive factors for posttraumatic CSF leak remain incompletely defined. The primary objective of this study is to identify clinical and radiological predictors of CSF leak among patients with traumatic skull base fractures and evaluate associated outcomes at a Level-1 trauma center. Methods: A retrospective cohort study was conducted at King Abdulaziz Medical City, Riyadh, including all patients with computed tomography-confirmed skull base fractures from 2016 to 2024. Demographics, injury characteristics, management variables, and complications were extracted from the trauma registry and electronic medical records. Bivariate comparisons and logistic regression were performed to determine independent predictors of CSF leak. Results: Among 499 patients, 36 (7.2%) developed a CSF leak. Mixed temporal fractures and pneumocephalus were independent predictors of CSF leak. CSF leak was associated with significantly higher rates of meningitis (11.1% vs. 0.9%), cranial nerve deficits (19.4% vs. 4.8%), and internal carotid artery injury (13.9% vs. 3.7%) (all P < 0.05). Median hospital stay was longer in patients with CSF leak (23.5 vs. 14 days, P = 0.038). Conclusion: Mixed temporal bone fracture patterns and pneumocephalus are strong predictors of posttraumatic CSF leak, while the presence of meningitis and cranial nerve deficits reflects more severe injury and increased morbidity. Structural fracture complexity and radiologic markers appear more informative than fracture location alone. Early recognition, risk-based monitoring, and timely multidisciplinary management are essential to mitigate infectious and neurological sequelae.
- 3 April 2026
- Published by Scientific Scholar in Surgical Neurology International
- Vol. 17, 204
Open AccessCerebrospinal fluid leak following traumatic skull base fractures: Predictors and outcomes
Background: Traumatic skull base fractures carry a risk of cerebrospinal fluid (CSF) leak, predisposing patients to meningitis, neurological complications, and prolonged hospitalization. Predictive factors for posttraumatic CSF leak remain incompletely defined. The primary objective of this study is to identify clinical and radiological predictors of CSF leak among patients with traumatic skull base fractures and evaluate associated outcomes at a Level-1 trauma center. Methods: A retrospective cohort study was conducted at King Abdulaziz Medical City, Riyadh, including all patients with computed tomography-confirmed skull base fractures from 2016 to 2024. Demographics, injury characteristics, management variables, and complications were extracted from the trauma registry and electronic medical records. Bivariate comparisons and logistic regression were performed to determine independent predictors of CSF leak. Results: Among 499 patients, 36 (7.2%) developed a CSF leak. Mixed temporal fractures and pneumocephalus were independent predictors of CSF leak. CSF leak was associated with significantly higher rates of meningitis (11.1% vs. 0.9%), cranial nerve deficits (19.4% vs. 4.8%), and internal carotid artery injury (13.9% vs. 3.7%) (all P < 0.05). Median hospital stay was longer in patients with CSF leak (23.5 vs. 14 days, P = 0.038). Conclusion: Mixed temporal bone fracture patterns and pneumocephalus are strong predictors of posttraumatic CSF leak, while the presence of meningitis and cranial nerve deficits reflects more severe injury and increased morbidity. Structural fracture complexity and radiologic markers appear more informative than fracture location alone. Early recognition, risk-based monitoring, and timely multidisciplinary management are essential to mitigate infectious and neurological sequelae.