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Technical Detail for Robot Assisted Pancreaticoduodenectomy
Published on: September 28, 2019
Pancreatic Cancer Biopsy Modalities: Comparing Insurance Status, Length of Stay, and Hospital Complications Based on
Anmol Mittal1, Alexander Le1, Aaron Kahlam1
1Department of Medicine, Rutgers University New Jersey Medical School, Newark, USA.
Background:
Pancreatic cancer is diagnosed histologically through percutaneous biopsy (PB), endoscopic biopsy (EB), or surgical biopsy (SB). Factors and outcomes associated with method type are not clearly understood. We aimed to evaluate the relationship between insurance status, length of hospital stay (LOS), complications, and different pancreatic biopsy modalities.
Study:
The 2001-2013 database from the National (Nationwide) Inpatient Sample (NIS) was queried for those with pancreatic cancer who underwent biopsies using International Classification of Diseases, Ninth Revision (ICD-9) codes. Data regarding insurance status, hospital stay, demographics, and complications were analyzed using chi-square and multivariate analysis with α < 0.001.
Results:
A total of 824,162 patients with pancreatic cancer were identified. Uninsured and Medicaid patients were more likely to get PB compared to SB. Patients were more likely to have acute renal failure (ARF) with an EB compared to SB. Patients were more likely to have a urinary tract infection (UTI) with EB or PB compared to SB. All biopsy types were less likely to have pneumonia; pancreatitis was more prevalent in EB compared to PB and SB.
Conclusions:
Uninsured and Medicaid patients were most likely to have a PB compared to EB despite unclear indications which may represent an underlying discrepancy in healthcare utilization. EB patients had the shortest LOS while SB patients stayed three more days; those who underwent a combination of biopsies had the greatest LOS. Patients with EB were more likely to develop ARF, UTI, and pancreatitis than SB, possibly attributed to the advanced nature of endoscopic ultrasound. It is important to establish appropriate algorithm contributors to guide decision-making.
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