James E. Carroll
University of Massachusetts Medical School
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Featured researches published by James E. Carroll.
Cancer | 2011
Shimul A. Shah; Jillian K. Smith; YouFu Li; Sing Chau Ng; James E. Carroll; Jennifer F. Tseng
The incidence of hepatocellular carcinoma (HCC) is increasing in the United States, and the care of these patients remains highly specialized and complex. Multiple treatment options are available for HCC but their use and effectiveness remain unknown.
Surgery | 2012
Elizaveta Ragulin-Coyne; James E. Carroll; Jillian K. Smith; Elan R. Witkowski; Sing Chau Ng; Shimul A. Shah; Zheng Zhou; Jennifer F. Tseng
BACKGROUND Undergoing a pancreatectomy obligates the patient to risks and benefits. For complex operations such as pancreatectomy, the objective assessment of baseline risks may be useful in decision-making. We developed an integer-based risk score estimating in-hospital mortality after pancreatectomy, incorporating institution-specific mortality rates to enhance its use. METHODS Pancreatic resections were identified from the Nationwide Inpatient Sample (1998-2006), and categorized as proximal, distal, or nonspecified by the International Classification of Diseases, 9th edition. Logistic regression and bootstrap methods were used to estimate in-hospital mortality using demographics, diagnosis, comorbidities (Charlson index), procedure, and hospital volume; 80% of this cohort was selected randomly to create the score and 20% was used for validation. Score assignments were subsequently individually fitted to risk distributions around specific mortality rates. RESULTS Sixteen thousand one hundred sixteen patient discharges were identified. Nationwide in-hospital mortality was 5.3%. Integers were assigned to predictors (age group, Charlson index, sex, diagnosis, pancreatectomy type, and hospital volume) and applied to an additive score. Three score groups were defined to stratify in-hospital mortality (national mortality, 1.3%, 4.9%, and 14.3%; P < .0001), with sufficient discrimination of derivation and validation sets (C statistics, 0.72 and 0.74). Score groups were shifted algorithmically to calculate risk based on institutional data (eg, with institutional mortality of 2.0%, low-, medium-, and high-risk patient groups had 0.5%, 1.9%, and 5.4% mortality, respectively). A web-based tool was developed and is available online (http://www.umassmed.edu/surgery/panc_mortality_custom.aspx). CONCLUSION To maximize patient benefit, objective assessment of risk for major procedures is necessary. We developed a Surgical Outcomes Analysis and Research risk score predicting pancreatectomy mortality that combines national and institution-specific data to enhance decision-making. This type of risk stratification tool may identify opportunities to improve care for patients undergoing specific operative procedures.
Hpb | 2010
James E. Carroll; Zachary M. Hurwitz; Jessica P. Simons; James T. McPhee; Sing Chau Ng; Shimul A. Shah; Jennifer F. Tseng
OBJECTIVE To assess perioperative mortality following resection of biliary tract cancer within the U.S. BACKGROUND Resection remains the only curative treatment for biliary tract cancer. However, current data on operative mortality after surgical resections for biliary tract cancer are limited to small and single-center studies. METHODS Using the Nationwide Inpatient Sample 1998-2006, a cohort of patient-discharges was assembled with a diagnosis of biliary tract cancer, including intrahepatic bile duct, extrahepatic bile duct, and gall bladder cancers. Patients undergoing resection, including hepatic resection, bile duct resection, pancreaticoduodenectomy, and cholecystectomy, were retained. The primary outcome measure was in-hospital mortality. Categorical variables were analyzed by chi-square. Multivariable logistic regression was performed to identify independent predictors of in-hospital mortality following resection. RESULTS 31 870 patient-discharges occurred for the diagnosis of biliary tract cancer, including 36.2% intrahepatic ductal, 26.7% extrahepatic ductal, and 31.1% gall bladder. Of the total, 18.6% underwent resection: mean age was 69.3 years (median 70.0); 60.8% were female; 73.7% were white. Overall inpatient surgical mortality was 5.6%. Independently predictive factors of mortality included patient age >/=50 (vs. <50; age 50-59 odds ratio [OR] 5.51, 95% confidence interval [CI] 1.70-17.93; age 60-69 OR 7.25, 95% CI 2.29-22.96; age >/= 70 OR 9.03, 95% CI 2.86-28.56), the presence of identified comorbidities (congestive heart failure, OR 3.67, 95% CI 2.61-5.16; renal failure, OR 4.72, 95% CI 2.97-7.49), and admission designated as emergent (vs. elective; OR 1.82, 95% CI 1.39-2.37). CONCLUSION Increased in-hospital mortality for patients undergoing biliary tract cancer resection corresponded to age, comorbidity, hospital volume, and emergent admission. Further study is warranted to utilize these observations in promoting early detection, diagnosis, and elective resection.
Journal of Gastrointestinal Surgery | 2010
Bharath D. Nath; YouFu Li; James E. Carroll; Gyongyi Szabo; Jennifer F. Tseng; Shimul A. Shah
Surgical Endoscopy and Other Interventional Techniques | 2010
Anand Singla; Jessica P. Simons; James E. Carroll; YouFu Li; Sing Chau Ng; Jennifer F. Tseng; Shimul A. Shah
Journal of Gastrointestinal Surgery | 2010
James E. Carroll; Jillian K. Smith; Jessica P. Simons; Melissa M. Murphy; Sing Chau Ng; Shimul A. Shah; Zheng Zhou; Jennifer F. Tseng
Journal of Surgical Research | 2010
Jillian K. Smith; Sing Chau Ng; Zheng Zhou; James E. Carroll; Theodore P. McDade; Shimul A. Shah; Jennifer F. Tseng
Clinical Neurology and Neurosurgery | 2013
Julie G. Pilitsis; Britney Atwater; Daniel Warden; Gina Deck; James E. Carroll; Jillian K. Smith; Sing Chau Ng; Jennifer F. Tseng
Journal of The American College of Surgeons | 2010
Jillian K. Smith; Sing Chau Ng; James E. Carroll; Theodore P. McDade; Shimul A. Shah; Jennifer F. Tseng
Journal of Clinical Oncology | 2010
James E. Carroll; Melissa M. Murphy; Jillian K. Smith; Jessica P. Simons; Sing Chau Ng; Zheng Zhou; Jennifer F. Tseng