Robert G. Whitmore
Hospital of the University of Pennsylvania
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Publication
Featured researches published by Robert G. Whitmore.
Journal of Neurosurgery | 2007
Robert G. Whitmore; Jaroslaw Krejza; Gurpreet S. Kapoor; Jason Huse; John H. Woo; Stephanie Bloom; Joanna Lopinto; Ronald L. Wolf; Kevin Judy; Myrna R. Rosenfeld; Jaclyn A. Biegel; Elias R. Melhem; Donald M. O'Rourke
OBJECT Treatment of patients with oligodendrogliomas relies on histopathological grade and characteristic cytogenetic deletions of 1p and 19q, shown to predict radio- and chemosensitivity and prolonged survival. Perfusion weighted magnetic resonance (MR) imaging allows for noninvasive determination of relative tumor blood volume (rTBV) and has been used to predict the grade of astrocytic neoplasms. The aim of this study was to use perfusion weighted MR imaging to predict tumor grade and cytogenetic profile in oligodendroglial neoplasms. METHODS Thirty patients with oligodendroglial neoplasms who underwent preoperative perfusion MR imaging were retrospectively identified. Tumors were classified by histopathological grade and stratified into two cytogenetic groups: 1p or 1p and 19q loss of heterozygosity (LOH) (Group 1), and 19q LOH only on intact alleles (Group 2). Tumor blood volume was calculated in relation to contralateral white matter. Multivariate logistic regression analysis was used to develop predictive models of cytogenetic profile and tumor grade. RESULTS In World Health Organization Grade II neoplasms, the rTBV was significantly greater (p < 0.05) in Group 1 (mean 2.44, range 0.96-3.28; seven patients) compared with Group 2 (mean 1.69, range 1.27-2.08; seven patients). In Grade III neoplasms, the differences between Group 1 (mean 3.38, range 1.59-6.26; four patients) and Group 2 (mean 2.83, range 1.81-3.76; 12 patients) were not significant. The rTBV was significantly greater (p < 0.05) in Grade III neoplasms (mean 2.97, range 1.59-6.26; 16 patients) compared with Grade II neoplasms (mean 2.07, range 0.96-3.28; 14 patients). The models integrating rTBV with cytogenetic profile and grade showed prediction accuracies of 68 and 73%, respectively. CONCLUSIONS Oligodendroglial classification models derived from advanced imaging will improve the accuracy of tumor grading, provide prognostic information, and have potential to influence treatment decisions.
The Spine Journal | 2014
Robert G. Whitmore; James H. Stephen; Coleen Vernick; Peter G. Campbell; Sanjay Yadla; George M. Ghobrial; Mitchell Maltenfort; John K. Ratliff
BACKGROUND CONTEXT The Charlson Comorbidity Index (CCI) and the American Society of Anesthesiologists (ASA) Physical Status Classification System (ASA grade) are useful for predicting morbidity and mortality for a variety of disease processes. PURPOSE To evaluate CCI and ASA grade as predictors of complications after spinal surgery and examine the correlation between these comorbidity indices and the cost of care. STUDY DESIGN/SETTING Prospective observational study. PATIENT SAMPLE All patients undergoing any spine surgery at a single academic tertiary center over a 6-month period. OUTCOME MEASURES Direct health-care costs estimated from diagnosis related group and Current Procedural Terminology (CPT) codes. METHODS Demographic data, including all patient comorbidities, procedural data, and all complications, occurring within 30 days of the index procedure were prospectively recorded. Charlson Comorbidity Index was calculated from International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and ASA grades determined from the operative record. Diagnosis related group and CPT codes were captured for each patient. Direct costs were estimated from a societal perspective using Medicare rates of reimbursement. A multivariable analysis was performed to assess the association of the CCI and ASA grade to the rate of complication and direct health-care costs. RESULTS Two hundred twenty-six cases were analyzed. The average CCI score for the patient cohort was 0.92, and the average ASA grade was 2.65. The CCI and ASA grade were significantly correlated, with Spearman ρ of 0.458 (p<.001). Both CCI and ASA grade were associated with increasing body mass index (p<.01) and increasing patient age (p<.0001). Increasing CCI was associated with an increasing likelihood of occurrence of any complication (p=.0093) and of minor complications (p=.0032). Increasing ASA grade was significantly associated with an increasing likelihood of occurrence of a major complication (p=.0035). Increasing ASA grade showed a significant association with increasing direct costs (p=.0062). CONCLUSIONS American Society of Anesthesiologists and CCI scores are useful comorbidity indices for the spine patient population, although neither was completely predictive of complication occurrence. A spine-specific comorbidity index, based on ICD-9-CM coding that could be easily captured from patient records, and which is predictive of patient likelihood of complications and mortality, would be beneficial in patient counseling and choice of operative intervention.
Spine | 2012
Robert G. Whitmore; James H. Stephen; Sherman C. Stein; Peter G. Campbell; Sanjay Yadla; James S. Harrop; Ashwini Sharan; Mitchell Maltenfort; John K. Ratliff
Study Design. Prospective observational study. Objective. To determine how patient comorbidities and perioperative complications after spinal surgery affect the health care costs to society. Summary of Background Data. Despite efforts to reduce adverse events related to spinal surgery, complications are common and significantly increased by patient comorbidities. Methods. Patients who underwent spinal surgery at a tertiary academic center during a 6-month period (May 2008 to December 2008) were prospectively followed. All demographic data, comorbidities, procedural information, and complications to 30-day follow-up were recorded. Diagnosis-Related Group codes and Current Procedural Terminology codes were captured for each patient. Direct costs were estimated from a societal perspective, using 2008 Medicare rates of reimbursement. A multivariable analysis was performed to assess the impact of specific patient comorbidities and complications on total health care costs. Results. A total of 226 cases were analyzed. The mean cost of care for cases with complications was greater than that for cases without complications (
Neurosurgery | 2012
Robert G. Whitmore; J. Sanford Schwartz; Sydney Simmons; Sherman C. Stein; Zoher Ghogawala
13,518.35 [95% confidence interval (CI),
Neurosurgery | 2014
Zoher Ghogawala; Edward C. Benzel; Robert F. Heary; K. Daniel Riew; Todd J. Albert; William E. Butler; Fred G. Barker; John G. Heller; Paul C. McCormick; Robert G. Whitmore; Karen M. Freund; J. Sanford Schwartz
9378.80–
The Spine Journal | 2014
Phillip Dagostino; Robert G. Whitmore; Gabriel A. Smith; Mitchell Maltenfort; John K. Ratliff
17,657.90]; P < 0.0001). These results were consistent across degenerative, traumatic, and tumor/infection preoperative diagnoses. Cases with major complications were more costly than those with minor complications (
Neurosurgical Focus | 2012
Matthew R. Sanborn; Jayesh P. Thawani; Robert G. Whitmore; Michael Shmulevich; Benjamin Hardy; Conrad Benedetto; Neil R. Malhotra; Paul Marcotte; William C. Welch; Stephen J. Dante; Sherman C. Stein
13,714.88 [CI,
Bulletin of Environmental Contamination and Toxicology | 1978
Andrew K. Koli; Shingara S. Sandhu; W. T. Canty; K. L. Felix; R. J. Reed; Robert G. Whitmore
6353.02–
Journal of Spinal Disorders & Techniques | 2014
Matthew D. Alvin; Daniel Lubelski; Kalil G. Abdullah; Robert G. Whitmore; Edward C. Benzel; Thomas E. Mroz
21,076.74]; P = 0.0001). Systemic malignancy and preoperative neurological comorbidity were each associated with an increase in the cost of care (
Journal of Spinal Disorders & Techniques | 2014
Matthew D. Alvin; Daniel Lubelski; Kalil G. Abdullah; Robert G. Whitmore; Edward C. Benzel; Thomas E. Mroz
7919 [CI,