Bassel G. Diebo

Dr. Bassel G. Diebo

Department of Orthopedics, Division of Spine Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in The Lancet
Verified
Journal Article
Closed access
BDBassel G. Diebo
Bassel G. Diebo
NSNeil V. Shah
Neil V. Shah
OBOheneba Boachie-Adjei
Oheneba Boachie-Adjei
FZFeng Zhu
Feng Zhu
DRDominique A Rothenfluh
Dominique A Rothenfluh
VLVirginie Lafage
Virginie Lafage

1 May 2015 in Spine
Verified
Journal Article
Closed access
BDBassel G. Diebo
Bassel G. Diebo
EFEmmanuelle Ferrero
Emmanuelle Ferrero
RLRenaud Lafage
Renaud Lafage
VCVincent Challier
Vincent Challier
BLBarthelemy Liabaud
Barthelemy Liabaud
VLVirginie Lafage
Virginie Lafage
Retrospective review, full-body radiographical analysis of adult patients with sagittal spinal malalignment (SSM). To investigate the compensatory mechanisms involved in the sagittal plane of the body after progressive spinal sagittal malalignment and to study the impact of age on compensatory mechanism recruitment. Patients with SSM recruit compensatory mechanisms to maintain erect posture and horizontal gaze. Mechanisms such as pelvic retroversion, knee flexion, and pelvic shift have been proposed, but how they contribute and how age affects their recruitment are poorly understood. Retrospective review of adult patients with SSM who underwent full-standing axis stereoradiography (EOS imaging). Radiographical measurements were performed with Surgimap. Patients were categorized on the basis of the mismatch between pelvic incidence (PI) and lumbar lordosis (PI-LL). Compensatory mechanisms were normalized to each patient's PI-LL and compared by mismatch groups. In addition, patients were subcategorized into 2 age groups (≥65 and 30°. There were significant differences between all groups with regard to thoracic kyphosis (TK), PT, knee flexion angle, and pelvic shift by analysis of variance (P < 0.001). As PI-LL increased, TK and PT contribution to the compensation cascade decreased and knee flexion angle and pelvic shift contribution increased. Patients with PI-LL of more than 30° who were older had significantly less PT and more TK than patients with similar PI-LL who were younger. Spinopelvic mismatch is an important driver in SSM. Pelvic retroversion and flattening of TK (reduction) become exhausted with increasing mismatch, at which point there seems to be a steady transfer of compensation toward significant participation of the lower limbs. Further analysis suggests differential recruitment of these compensatory mechanisms based upon age. 3.

1 December 2015 in Clinical Neurology and Neurosurgery
Verified
Journal Article
Closed access
BDBassel G. Diebo
Bassel G. Diebo
JVJeffrey J. Varghese
Jeffrey J. Varghese
RLRenaud Lafage
Renaud Lafage
FSFrank J. Schwab
Frank J. Schwab
VLVirginie Lafage
Virginie Lafage

1 December 2015 in The Spine Journal
Verified
Journal Article
Closed access
RLRenaud Lafage
Renaud Lafage
EFEmmanuelle Ferrero
Emmanuelle Ferrero
JHJensen K. Henry
Jensen K. Henry
VCVincent Challier
Vincent Challier
BDBassel G. Diebo
Bassel G. Diebo
FSFrank Schwab
Frank Schwab

1 September 2015 in Spine
Verified
Journal Article
Closed access
ASAlexandra Soroceanu
Alexandra Soroceanu
BDBassel G. Diebo
Bassel G. Diebo
DBDouglas Burton
Douglas Burton
JSJustin S. Smith
Justin S. Smith
VDVedat Deviren
Vedat Deviren
VLVirginie Lafage
Virginie Lafage
A multicenter, prospective review of surgical patients with adult spine deformity. Assessment of the incidence, risk factor, and impact of radiographical and implant-related complications (RIC) on health-related quality of life measures. This study provides assessment of the incidence of RIC in adult spinal deformity surgery and impact of these complications on need for reoperation. Risk factors for development of RIC are also assessed, as well as the impact of these complications on health-related quality of life (HRQOL) outcomes measures. A multicenter, prospective database of surgical patients with adult spinal deformity was reviewed. All patients with complete 2-year follow-up were included. HRQOL was measured using the Oswestry Disability Index, General Health Survey (36-Item Short Form Health Survey [SF-36]), and Scoliosis Research Society-22 (SRS-22r) at baseline, 6 weeks, 1 year, and 2 years postoperatively. Univariate testing was performed as appropriate. Multivariate logistic regression modeling was used to determine independent predictors of RIC. Multivariate repeated-measures mixed models were used to examine HRQOL, accounting for confounders. A total of 245 patients met inclusion criteria. The incidence of RIC was 31.7% and 52.6% of those patients required reoperation. Rod breakage accounted for 47% of the implant-related complications, and proximal junctional kyphosis accounted for 54.5% of radiographical complications. Univariate analysis identified the following potential risk factors for RIC: weight, American Society of Anesthesiologists score, revision, stopping the fusion in the lower thoracic spine, worse SRS-Schwab classification modifiers (pelvic tilt++, pelvic incidence minus lumbar lordosis++, sagittal vertical axis++), higher T1 spinopelvic inclination, and higher T1 slope. Independent predictors of RIC as identified on multivariate logistic regression included American Society of Anesthesiologists (odds ratio: 1.75, P = 0.029) and sagittal vertical axis modifier ++ (odds ratio 3.43, P = 0.0001). The RIC and no RIC groups each experienced significant improvement over time, as measured on the Oswestry Disability Index (P = 0.0001), SF-36 (P = 0.0001), and SRS-22r (P = 0.0001). However, the rate of improvement over time was less for patients with RIC (SRS-22r P = 0.043, SF-36 P = 0.0001). This study identified that nearly one-third of patients undergoing adult spinal deformity surgery experienced a radiographical or implant-related complication, and that just more than one-half of these patients experiencing complication required a reoperation within 2 years of surgery. These complications significantly affected HRQOL measures. Baseline patient characteristics and parameters of the SRS-Schwab classification can be used to help identify those patients at greater risk. Level of Evidence: 3

28 August 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
KSKrish Shah
Krish Shah
AXAndrew Xu
Andrew Xu
YSYatharth Sharma
Yatharth Sharma
MDMohammad Daher
Mohammad Daher
CMChristopher L McDonald
Christopher L McDonald
ADAlan H. Daniels
Alan H. Daniels
Large Language Models (LLMs have the potential to revolutionize clinical medicine by enhancing healthcare access, diagnosis, surgical planning, and education. However, their utilization requires careful, prompt engineering to mitigate challenges like hallucinations and biases. Proper utilization of LLMs involves understanding foundational concepts such as tokenization, embeddings, and attention mechanisms, alongside strategic prompting techniques to ensure accurate outputs. For innovative healthcare solutions, it is essential to maintain ongoing collaboration between AI technology and medical professionals. Ethical considerations, including data security and bias mitigation, are critical to their application. By leveraging LLMs as supplementary resources in research and education, we can enhance learning and support knowledge-based inquiries, ultimately advancing the quality and accessibility of medical care. Continued research and development are necessary to fully realize the potential of LLMs in transforming healthcare.