Aditya V. Karhade

Massachusetts General Hospital

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i-10 index

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Co-Authors

Joseph H. Schwab

Cedars-Sinai Medical Center

Olivier Q. Groot

University Medical Center Utrecht

Christopher M. Bono

Brigham and Women's Hospital

Paul T. Ogink

University Medical Center Utrecht

Michiel E. R. Bongers

Massachusetts General Hospital

Quirina C. B. S. Thio

University of Amsterdam

Timothy R. Smith

Brigham and Women's Hospital

Andrew J. Schoenfeld

Harvard University

Mitchel B. Harris

Massachusetts General Hospital

Daniel G. Tobert

Massachusetts General Hospital

Cooperative Institutions

Harvard University

165

Massachusetts General Hospital

125

Brigham and Women's Hospital

Neurological Surgery

WinnMed

Mayo Clinic

Mayo Clinic in Florida

National Taiwan University Hospital

University Medical Center Groningen

Clinical Orthopaedics and Related Research

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Survival After Surgery for Renal Cell Carcinoma Metastatic to the Spine: Impact of Modern Systemic Therapies on Outcomes

Neurosurgery (2021)

Ganesh M. Shankar Laura A. Van Beaver Bryan D. Choi Muhamed Hadzipasic Ahilan Sivaganesan

Shankar, Ganesh M MD, PhD; Van Beaver, Laura A BS; Choi, Bryan D MD, PhD; Hadzipasic, Muhamed MD, PhD; Sivaganesan, Ahilan MD; Karhade, Aditya V BE; Ferrone, Marco L MD; Harris, Mitchel B MD; Schoenfeld, Andrew J MD; Sadow, Peter M MD, PhD; Oh, Kevin MD; Schwab, Joseph H MD; Saylor, Philip J MD; Shin, John H MD

10.1093/neuros/nyaa224_s046

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Citations (0)

Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis

European Spine Journal (2019)

Paul T. Ogink Aditya V. Karhade Quirina C. B. S. Thio Stuart H. Hershman D. Thomas

10.1007/s00586-019-05936-z

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Citations (37)

External validation of a predictive algorithm for in-hospital and 90-day mortality after spinal epidural abscess

The Spine Journal (2023)

Akash Shah Aditya V. Karhade Olivier Q. Groot Thomas E. Olson Andrew J. Schoenfeld

Brier score

10.1016/j.spinee.2023.01.013

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Citations (4)

Serum alkaline phosphatase and 30-day mortality after surgery for spinal metastatic disease

Journal of Neuro-Oncology (2018)

Aditya V. Karhade Quirina C. B. S. Thio Paul T. Ogink Joseph H. Schwab

Interquartile range

Elevated alkaline phosphatase

10.1007/s11060-018-2947-9

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Citations (10)

Survival After Surgery for Renal Cell Carcinoma Metastatic to the Spine: Impact of Modern Systemic Therapies on Outcomes

Neurosurgery (2020)

Ganesh M. Shankar Laura A. Van Beaver Bryan D. Choi Muhamed Hadzipasic Ahilan Sivaganesan

Modern medical management of metastatic renal cell carcinoma (RCC) includes therapies targeting tyrosine kinases, growth pathways (mammalian target of rapamycin (mTOR)), and immune checkpoints.To test our hypothesis that patients with spinal metastases would benefit from postoperative systemic therapy despite presenting with disease that, in many cases, was resistant to prior systemic therapy.This is an Institutional Review Board-approved clinical retrospective cohort analysis. A sample of adult patients with RCC metastatic to the spine who underwent operative intervention between January 2010 and December 2017 at 2 large academic medical centers was used in this study.We identified 78 patients with metastatic RCC in whom instrumented stabilization was performed in 79% and postoperative stereotactic radiosurgery was performed in 41% of patients. Of patients presenting with weakness or myelopathy, 93% noted postoperative improvement and 78% reported improvement in radicular and axial paraspinal pain severity. Increased overall survival (OS) (913 d (95% CI: 633-1975 d, n = 49) vs 222 d (95% CI: 143-1005 d, n = 29), P = .003) following surgery was noted in patients who received postoperative systemic therapy a median of 80 d (interquartile range 48-227 d) following the surgical intervention.Postoperative outcomes and palliation of symptoms for metastatic RCC without targeted therapies in this cohort are similar to those reported in earlier series prior to the adoption of these systemic therapies. We observed a significantly longer OS among patients who received modern systemic therapies postoperatively. These findings have implications for the preoperative evaluation of patients with systemic disease who may have been deemed poor surgical candidates prior to the availability of these systemic therapies.

Systemic therapy

Interquartile range

Kidney cancer

10.1093/neuros/nyaa224

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Citations (15)

Predictors of Adverse Events for Ankle Fractures: An Analysis of 6800 Patients

The Journal of Foot & Ankle Surgery (2016)

Ashley C. Dodd Nikita Lakomkin Basem Attum Catherine M. Bulka Aditya V. Karhade

Current Procedural Terminology

10.1053/j.jfas.2016.03.010

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Citations (33)

Prognostic models for spinal metastatic disease: evolution of methodologies, limitations, and future opportunities

Annals of Translational Medicine (2019)

Aditya V. Karhade John H. Shin Joseph H. Schwab

Abstract: Advances in cancer biology and therapy have increased survival of metastatic disease patients and, in turn, the rates of metastatic epidural spinal cord compression (MESCC). Surgery can improve patient quality of life, but accurate estimation of postoperative survival is critical for appropriate patient selection, multidisciplinary management, and shared decision making. Survival estimation on the basis of clinician judgement alone has been shown to be inaccurate and unreliable. Numerous prognostic scoring systems have been developed to address this need but the inputs to these models, the modeling methodologies, and the model outputs have evolved significantly over time. Here we discuss the available scoring systems, existing limitations, and future opportunities.

Spinal cord compression

Judgement

10.21037/atm.2019.04.87

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Citations (18)

Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above

European Journal of Trauma and Emergency Surgery (2022)

Jacobien H. F. Oosterhoff Angelique Berit Marte Corlijn Savelberg Aditya V. Karhade Benjamin Gravesteijn Job N. Doornberg

Preoperative prediction of mortality in femoral neck fracture patients aged 65 years or above may be valuable in the treatment decision-making. A preoperative clinical prediction model can aid surgeons and patients in the shared decision-making process, and optimize care for elderly femoral neck fracture patients. This study aimed to develop and internally validate a clinical prediction model using machine learning (ML) algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above.A retrospective cohort study at two trauma level I centers and three (non-level I) community hospitals was conducted to identify patients undergoing surgical fixation for a femoral neck fracture. Five different ML algorithms were developed and internally validated and assessed by discrimination, calibration, Brier score and decision curve analysis.In total, 2478 patients were included with 90 day and 2 year mortality rates of 9.1% (n = 225) and 23.5% (n = 582) respectively. The models included patient characteristics, comorbidities and laboratory values. The stochastic gradient boosting algorithm had the best performance for 90 day mortality prediction, with good discrimination (c-statistic = 0.74), calibration (intercept = - 0.05, slope = 1.11) and Brier score (0.078). The elastic-net penalized logistic regression algorithm had the best performance for 2 year mortality prediction, with good discrimination (c-statistic = 0.70), calibration (intercept = - 0.03, slope = 0.89) and Brier score (0.16). The models were incorporated into a freely available web-based application, including individual patient explanations for interpretation of the model to understand the reasoning how the model made a certain prediction: https://sorg-apps.shinyapps.io/hipfracturemortality/ CONCLUSIONS: The clinical prediction models show promise in estimating mortality prediction in elderly femoral neck fracture patients. External and prospective validation of the models may improve surgeon ability when faced with the treatment decision-making.Prognostic Level II.

Brier score

Statistic

Hip Fracture

Sports medicine

10.1007/s00068-022-01981-4

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Citations (20)

Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?

The Spine Journal (2021)

Aditya V. Karhade Ophélie Lavoie-Gagné Nicole D. Agaronnik Hamid Ghaednia Austin K. Collins

Medical record

10.1016/j.spinee.2021.08.002