Nabiuni, Mohsen, Rezanezhad, Javad, Jahanbakhshi, Amin, Babashahi, Ali, Milanifard, Maryam, Nabiuni, Sana, Nabiuni, Hosna. (1402). Leveraging Digital Platforms to Investigate Deep Vein Thrombosis Frequency among Spinal Surgery Candidates. سامانه مدیریت نشریات علمی, 14(4), 294-300. doi: 10.30476/ijvlms.2023.99342.1239
Mohsen Nabiuni; Javad Rezanezhad; Amin Jahanbakhshi; Ali Babashahi; Maryam Milanifard; Sana Nabiuni; Hosna Nabiuni. "Leveraging Digital Platforms to Investigate Deep Vein Thrombosis Frequency among Spinal Surgery Candidates". سامانه مدیریت نشریات علمی, 14, 4, 1402, 294-300. doi: 10.30476/ijvlms.2023.99342.1239
Nabiuni, Mohsen, Rezanezhad, Javad, Jahanbakhshi, Amin, Babashahi, Ali, Milanifard, Maryam, Nabiuni, Sana, Nabiuni, Hosna. (1402). 'Leveraging Digital Platforms to Investigate Deep Vein Thrombosis Frequency among Spinal Surgery Candidates', سامانه مدیریت نشریات علمی, 14(4), pp. 294-300. doi: 10.30476/ijvlms.2023.99342.1239
Nabiuni, Mohsen, Rezanezhad, Javad, Jahanbakhshi, Amin, Babashahi, Ali, Milanifard, Maryam, Nabiuni, Sana, Nabiuni, Hosna. Leveraging Digital Platforms to Investigate Deep Vein Thrombosis Frequency among Spinal Surgery Candidates. سامانه مدیریت نشریات علمی, 1402; 14(4): 294-300. doi: 10.30476/ijvlms.2023.99342.1239
Leveraging Digital Platforms to Investigate Deep Vein Thrombosis Frequency among Spinal Surgery Candidates
Interdisciplinary Journal of Virtual Learning in Medical Sciences
1Department of Neurological Surgery, Iran University of Medical Sciences, Tehran, Iran
2Neurosurgeon, Rasool-e Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
3Department of Neurosurgery, Skull Base Research Center, Iran University of Medical Sciences, Tehran, Iran
4Department of Neurosurgery, Rasool Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
5Department of Anatomical Sciences, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
6Pharmacist, University College London, England, London
7Medical Student, Iran University of Medical Sciences (IUMS), Tehran, Iran
چکیده
Background: In recent years, the integration of medical research and digital technology has enabled new approaches to studying complex healthcare issues. Deep Vein Thrombosis (DVT), a serious condition involving blood clots in deep veins, poses significant risks for surgical patients due to postoperative immobilization. This study aimed to assess the use of digital platforms to investigate the incidence of DVT among candidates for spinal surgery. Methods: This retrospective study was conducted at Hazrat Rasool-Akram (PBUH) Hospital in Tehran, Iran, from February 2014 to February 2019 to investigate the frequency of DVT among spinal surgery candidates using digital platforms. Electronic Health Records (EHR) from various hospital databases were collected, preprocessed, and integrated on a secure cloud-based platform to facilitate collaborative access and advanced analytics. These records included detailed patient information such as medical history, diagnoses, medications, treatment plans, immunizations, allergies, radiology images, and laboratory results. Following eligibility screening, 218 patients met the inclusion criteria. Data analysis was performed using STATA software, applying descriptive statistics, chi-square tests, and assessing associations between ultrasound findings and clinical variables. Results: The mean age of the patients was 49.22±11.22 years. The frequency of DVT among candidates for back surgery was 1.83%. Regarding D-dimer levels, our study showed that all four patients with DVT had elevated D-dimer, while only 34 patients without DVT had high D-dimer levels. The results indicated that a history of hospitalization reduced the risk of DVT in patients undergoing back surgery (P=0.028), whereas a high serum D-dimer level was a significant warning sign for the occurrence of DVT in these patients (P=0.001). Conclusion: This study highlights the value of digital platforms in investigating the frequency of DVT among spinal surgery candidates, emphasizing the associations between D-dimer levels, medical history, and DVT risk. These findings provide insights that can inform clinical assessments and interventions for this group of patients.
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