Bio


Sina was born in Tehran, Iran and raised in Zanjan, Iran. He came out to Massachusetts to attend Harvard University where he obtained his undergraduate degree cum laude in Neuroscience with a secondary in Economics. In college, Sina conducted wet-lab research under the supervision of Dr. Hugo Bellen, worked as a legal intern in Levy Firestone Muse LLP, and served as a research assistant for Drs. Francis Shen, Steven Levitsky, and Jennifer Hochschild. Sina moved to California (by bike!) to begin medical school at Stanford where he is currently pursuing clinical and basic science research opportunities in the neuroscience domain. Outside of medical school, Sina is an avid cyclist, enjoys going on walks, doing yoga, and learning to salsa dance.

Honors & Awards


  • Berg Scholar, Stanford University (2023)
  • Graduate Public Service Fellow, Stanford University (2023)
  • NIH T32 Institutional Research Award Fellow, Stanford University (2023)
  • Schweitzer Fellow, Stanford University (2023)
  • Klingenstein Fellow, Stanford University (2022)
  • Medical Scholars Fellow, Stanford University (2022)
  • Sally and Cresap Moore Prize for energy and enthusiasm for interdisciplinary learning, Harvard University (2021)
  • John Harvard Scholarship for outstanding academic achievement, Harvard University (2020)
  • Harvard Foundation recognition for notable contributions to intercultural and race relations, Harvard University (2019)

Membership Organizations


  • American Association of Neurological Surgeons (AANS), Member
  • Congress of Neurological Surgeons (CNS), Member
  • American Epilepsy Society (AES), Member
  • American Medical Association (AMA), Member

All Publications


  • Reduced racial disparities among newborns with intraventricular hemorrhage. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery Sayeed, S., Reeves, B. C., Theriault, B. C., Hengartner, A. C., Ahsan, N., Sadeghzadeh, S., Elsamadicy, E. A., DiLuna, M., Elsamadicy, A. A. 2024

    Abstract

    Intraventricular hemorrhage (IVH) can ensue permanent neurologic dysfunction, morbidity, and mortality. While previous reports have identified disparities based on patient gender or weight, no prior study has assessed how race may influence in neonatal or infantile IVH patients. The aim of this study was to investigate the impact of race on adverse event (AE) rates, length of stay (LOS), and total cost of admission among newborns with IVH.Using the 2016-2019 National Inpatient Sample database, newborns diagnosed with IVH were identified using ICD-10-CM codes. Patients were stratified based on race. Patient characteristics and inpatient outcomes were assessed. Multivariate logistic regression analyses were used to identify the impact of race on extended LOS and exorbitant cost.Of 1435 patients, 650 were White (45.3%), 270 African American (AA) (18.8%), 300 Hispanic (20.9%), and 215 Other (15.0%). A higher percentage of AA and Other patients than Hispanic and White patients were < 28 days old (p = 0.008). Each of the cohorts had largely similar presenting comorbidities and symptoms, although AA patients did have significantly higher rates of NEC (p < 0.001). There were no observed differences in rates of AEs, rates of mortality, mean LOS, or mean total cost of admission. Similarly, on multivariate analysis, no race was identified as a significant independent predictor of extended LOS or exorbitant cost.Our study found that in newborns with IVH, race is not associated with proxies of poor healthcare outcomes like prolonged LOS or excessive cost. Further studies are needed to validate these findings.

    View details for DOI 10.1007/s00381-024-06369-w

    View details for PubMedID 38526575

    View details for PubMedCentralID 6902802

  • Evaluating Computer Vision, Large Language, and Genome-Wide Association Models in a Limited Sized Patient Cohort for Pre-Operative Risk Stratification in Adult Spinal Deformity Surgery. Journal of clinical medicine Schonfeld, E., Pant, A., Shah, A., Sadeghzadeh, S., Pangal, D., Rodrigues, A., Yoo, K., Marianayagam, N., Haider, G., Veeravagu, A. 2024; 13 (3)

    Abstract

    Background: Adult spinal deformities (ASD) are varied spinal abnormalities, often necessitating surgical intervention when associated with pain, worsening deformity, or worsening function. Predicting post-operative complications and revision surgery is critical for surgical planning and patient counseling. Due to the relatively small number of cases of ASD surgery, machine learning applications have been limited to traditional models (e.g., logistic regression or standard neural networks) and coarse clinical variables. We present the novel application of advanced models (CNN, LLM, GWAS) using complex data types (radiographs, clinical notes, genomics) for ASD outcome prediction. Methods: We developed a CNN trained on 209 ASD patients (1549 radiographs) from the Stanford Research Repository, a CNN pre-trained on VinDr-SpineXR (10,468 spine radiographs), and an LLM using free-text clinical notes from the same 209 patients, trained via Gatortron. Additionally, we conducted a GWAS using the UK Biobank, contrasting 540 surgical ASD patients with 7355 non-surgical ASD patients. Results: The LLM notably outperformed the CNN in predicting pulmonary complications (F1: 0.545 vs. 0.2881), neurological complications (F1: 0.250 vs. 0.224), and sepsis (F1: 0.382 vs. 0.132). The pre-trained CNN showed improved sepsis prediction (AUC: 0.638 vs. 0.534) but reduced performance for neurological complication prediction (AUC: 0.545 vs. 0.619). The LLM demonstrated high specificity (0.946) and positive predictive value (0.467) for neurological complications. The GWAS identified 21 significant (p < 10-5) SNPs associated with ASD surgery risk (OR: mean: 3.17, SD: 1.92, median: 2.78), with the highest odds ratio (8.06) for the LDB2 gene, which is implicated in ectoderm differentiation. Conclusions: This study exemplifies the innovative application of cutting-edge models to forecast outcomes in ASD, underscoring the utility of complex data in outcome prediction for neurosurgical conditions. It demonstrates the promise of genetic models when identifying surgical risks and supports the integration of complex machine learning tools for informed surgical decision-making in ASD.

    View details for DOI 10.3390/jcm13030656

    View details for PubMedID 38337352

  • Type II Odontoid Fractures in the Elderly Presenting to the Emergency Department: An Assessment of Factors Affecting In-Hospital Mortality and Discharge to Skilled Nursing Facilities. The spine journal : official journal of the North American Spine Society Johnstone, T., Shah, V., Schonfeld, E., Sadeghzadeh, S., Haider, G., Stienen, M., Marianayagam, N. J., Veeravagu, A. 2023

    Abstract

    Type II odontoid fractures (OF) are among the most common cervical spine injuries in the geriatric population. However, there is a paucity of literature regarding their epidemiology. Additionally, the optimal management of these injuries remains controversial, and no study has evaluated the short-term outcomes of geriatric patients presenting to emergency departments (ED).This study aims to document the epidemiology of geriatric patients presenting to EDs with type II OFs and determine whether surgical management was associated with early adverse outcomes such as in-hospital mortality and discharge to skilled nursing facilities (SNF).This is a retrospective cohort study.Data was used from the 2016-2020 Nationwide Emergency Department Sample. Patient encounters corresponding to type II OFs were identified. Patients younger than 65 at the time of presentation to the ED and those with concomitant spinal pathology were excluded.The association between the surgical management of geriatric type II OFs and outcomes such as in-hospital mortality and discharge to SNFs.Patient, fracture, and surgical management characteristics were recorded. A propensity score matched cohort was constructed to reduce differences in age, comorbidities, and injury severity between patients undergoing operative and nonoperative management. Additionally, to develop a positive control for the analysis of geriatric patients with type II OFs and no other concomitant spinal pathology, a cohort of patients that had been excluded due to the presence of a concomitant spinal cord injury (SCI) was also constructed. Multivariate regressions were then performed on both the matched and unmatched cohorts to ascertain the associations between surgical treatment and in-hospital mortality, inpatient length of stay, encounter charges, and discharge to SNFs.11,325 encounters were included. The mean total charge per encounter was $60,221. 634 (5.6%) patients passed away during their encounters. 1,005 (8.9%) patients were managed surgically. Surgical management of type II OFs was associated with a 316% increase in visit charge (95% CI: 291%-341%, p<0.001), increased inpatient length of stay (IRR: 2.87, 95% CI: 2.62-3.12, p<0.001), and increased likelihood of discharge to SNFs (OR = 2.62, 95% CI: 2.26-3.05, p <0.001), but decreased in-hospital mortality (OR = 0.32, CI: 0.21-0.45, p<0.001). The propensity score matched cohort consisted of 2,010 patients, matching each of the 1,005 that underwent surgery to 1,005 that did not. These cohorts were well balanced across age (78.24 vs. 77.91 years), Elixhauser Comorbidity Index (3.68 vs. 3.71), and Injury Severity Score (30.15 vs 28.93). This matching did not meaningfully alter the associations determined between surgical management and in-hospital mortality (OR = 0.34, CI = 0.21-0.55, p<0.001) or SNF discharge (OR = 2.59, CI = 2.13-3.16, p<0.001). Lastly, the positive control cohort of patients with concurrent SCI had higher rates of SNF discharge (50.0% vs. 42.6%, p<0.001), surgical management (32.3% vs. 9.7%, p<0.001), and in-hospital mortality (28.9% vs. 5.6%, p<0.001).This study lends insight into the epidemiology of geriatric type II OFs and quantifies risk factors influencing adverse outcomes. Patient informed consent should include a discussion of the protective association between definitive surgical management and in-hospital mortality against potential operative morbidity, increased lengths of hospital stay, and increased likelihood of discharge to SNFs. This information may impact patient treatment selection and decision making.

    View details for DOI 10.1016/j.spinee.2023.11.023

    View details for PubMedID 38101547

  • Implications of Frailty on Post-Operative Healthcare Resource Utilization in Ankylosing Spondylitis Patients Undergoing Spine Surgery for Spinal Fractures. World neurosurgery Elsamadicy, A. A., Sayeed, S., Sadeghzadeh, S., Reeves, B. C., Sherman, J. J., Craft, S., Serrato, P., Larry Lo, S., Sciubba, D. M. 2023

    Abstract

    OBJECTIVE: The rise of spinal surgery for Ankylosing Spondylitis (AS) necessitates balancing healthcare costs with quality patient care. Frailty has been independently associated with adverse outcomes and increased costs. This study investigates whether frailty is an independent predictor of poor outcomes after elective surgery for AS.METHODS: Using the National Inpatient Sample (NIS) database, a retrospective study was conducted on adult patients with AS who underwent posterior spinal fusion for fracture between 2016-2019. Each patient was assigned a modified frailty index (mFI) score and categorized as pre-frail (mFI=0 or 1), moderately frail (mFI=2), highly frail (mFI≥3). Multivariate logistic regression analyses were used to identify independent predictors of extended length of stay (LOS), non-routine discharge (NRD), and exorbitant admission costs.RESULTS: Of the 1,910 patients, 35.3% were pre-frail, 31.2% moderately frail, and 33.5% highly frail. Age was significantly different across groups (p<0.001), and frailty was associated with increased comorbidities (p<0.001). Mean LOS (p=0.007), non-routine discharge rate (p<0.001), and mean cost of admission (p=0.002) all significantly increased with increasing frailty. However, frailty was not an independent predictor of extended hospital stay, non-routine discharge, or higher costs on multivariate analysis. Instead, predictors included multiple adverse events, number of comorbidities, and race.CONCLUSION: S: While frailty in patients with AS is associated with older age, greater comorbidities, and increased adverse events, it was not an independent predictor of extended hospital stay, non-routine discharge, or higher hospital costs. Further research is required to understand the full impact of frailty on surgical outcomes and develop effective interventions.

    View details for DOI 10.1016/j.wneu.2023.10.136

    View details for PubMedID 37925147

  • Loss- or Gain-of-Function Mutations in ACOX1 Cause Axonal Loss via Different Mechanisms NEURON Chung, H., Wangler, M. F., Marcogliese, P. C., Jo, J., Ravenscroft, T. A., Zuo, Z., Duraine, L., Sadeghzadeh, S., Li-Kroeger, D., Schmidt, R. E., Pestronk, A., Rosenfeld, J. A., Burrage, L., Herndon, M. J., Chen, S., Shillington, A., Vawter-Lee, M., Hopkin, R., Rodriguez-Smith, J., Henrickson, M., Lee, B., Moser, A. B., Jones, R. O., Watkins, P., Yoo, T., Mar, S., Choi, M., Bucelli, R. C., Yamamoto, S., Lee, H., Prada, C. E., Chae, J., Vogel, T. P., Bellen, H. J., Undiagnosed Dis Network 2020; 106 (4): 589-+

    Abstract

    ACOX1 (acyl-CoA oxidase 1) encodes the first and rate-limiting enzyme of the very-long-chain fatty acid (VLCFA) β-oxidation pathway in peroxisomes and leads to H2O2 production. Unexpectedly, Drosophila (d) ACOX1 is mostly expressed and required in glia, and loss of ACOX1 leads to developmental delay, pupal death, reduced lifespan, impaired synaptic transmission, and glial and axonal loss. Patients who carry a previously unidentified, de novo, dominant variant in ACOX1 (p.N237S) also exhibit glial loss. However, this mutation causes increased levels of ACOX1 protein and function resulting in elevated levels of reactive oxygen species in glia in flies and murine Schwann cells. ACOX1 (p.N237S) patients exhibit a severe loss of Schwann cells and neurons. However, treatment of flies and primary Schwann cells with an antioxidant suppressed the p.N237S-induced neurodegeneration. In summary, both loss and gain of ACOX1 lead to glial and neuronal loss, but different mechanisms are at play and require different treatments.

    View details for DOI 10.1016/j.neuron.2020.02.021

    View details for Web of Science ID 000535696300009

    View details for PubMedID 32169171

    View details for PubMedCentralID PMC7289150

  • The relation between pica and iron deficiency in children in Zanjan, Islamic Republic of Iran: a case-control study EASTERN MEDITERRANEAN HEALTH JOURNAL Sadeghzadeh, M., Khoshnevisasl, P., Sadeghzadeh, S. 2017; 23 (6): 404-407

    Abstract

    The aim of this case-control study was to determine the frequency of pica and its relationship with iron deficiency in children in Zanjan. We selected 872 children and determined the frequency of pica. We selected students who did not have pica of the same age and sex, and in the same class as our cases as a control group. Both groups were evaluated for iron deficiency anaemia. Among the 57 students (6.7%) who had pica, there was no significant relationship with sex (P > 0.05). The most common types of pica were soil (62.3%) and paper (31.2%). The frequency of anaemia among cases was greater than in controls, although the difference was not statistically significant. The serum iron/total iron binding capacity ratio ≤ 0.15 did not differ significantly between the 2 groups. We did not find any association between pica and anaemia and/or iron deficiency (P > 0.05).

    View details for Web of Science ID 000410076000003

    View details for PubMedID 28836652