Insurance Type and Marital Status Impact Hospital Length of Stay After Pancreatoduodenectomy.

BACKGROUND: Recognition of the impact of social determinants on health care and surgical outcomes is imperative to improve patient care. This study aims to examine the impact social determinants have on hospital length of stay (LOS) after pancreatoduodenectomy (PD). METHODS: Retrospective review of a prospective American College of Surgeons-National Surgical Quality Improvement Program database identified patients who underwent PD from 2013 to 2018. Patients were categorized by insurance type (public/private/multiple), and electronic medical record review was performed to obtain distance from home, marital status, and race. Public insurance included Medicare and Medicaid; multiple types were defined as public insurance supplemented by a private insurance. Univariable analysis was used to identify potential confounders. Significant differences (P < 0.05) were controlled for using multivariable regression models to examine the effect of variables on LOS. RESULTS: About 813 PDs were included (n = 341 public; n = 238 private; and n = 234 multiple). Patients with public insurance had significantly longer LOS than patients with private on univariate (P < 0.001) and multivariable analyses (P = 0.021) (8 versus 7 d). Patients with multiple insurance types showed significantly increased LOS compared with patients with private on univariable (P < 0.001) and multivariable analyses (P = 0.006) (8 versus 7 d). Single patients had significantly longer LOS compared with married patients on univariable (P = 0.012) and multivariable analyses (P = 0.005) (8 versus 7 d). Distance from home, race, gender, or age did not have a significant impact on LOS. CONCLUSIONS: Single patients and patients with public or multiple insurance types are more likely to have longer hospital LOS after PD. These findings will enable physicians to identify patients at risk and target them for enhanced recovery programming.

A Quantitative Global Proteomics Approach Identifies Candidate Urinary Biomarkers That Correlate With Intraductal Papillary Mucinous Neoplasm Dysplasia.

OBJECTIVES: A proteomic discovery study was performed to determine if urine possesses a unique biosignature that could form the basis for a noninvasive test able to predict intraductal papillary mucinous neoplasm (IPMN) dysplasia. METHODS: Urine was collected from patients undergoing surgery for IPMN (72 low/moderate, 27 high-grade/invasive). Quantitative mass spectrometry-based proteomics was performed. Proteins of interest were identified by differential expression analysis followed by principal component analysis. RESULTS: Proteomics identified greater than 4800 urinary proteins. Low/moderate and high-grade/invasive IPMN were distinguished by 188 proteins (P < 0.05). Following principal component analysis and heatmap visualization, vitamin D binding protein (DBP), apolipoprotein A1 (APOA1), and alpha-1 antitrypsin (A1AT) were selected. The proteomic abundance of DBP (median [interquartile range]) was significantly higher for high-grade/invasive than for low/moderate IPMN (219,735 [128,882-269,943] vs. 112,295 [77,905-180,773] normalized reporter ion intensity units; P = 0.001). Similarly, APOA1 was more abundant in the high-grade/invasive than low/moderate groups (235,420 [144,933-371,247] vs 150,095 [103,419-236,591]; P = 0.0007) as was A1AT (567,514 [358,544-774,801] vs 358,393 [260,850-477,882]; P = 0.0006). CONCLUSIONS: Urinary DBP, APOA1, and A1AT represent potential biomarker candidates that may provide a noninvasive means of predicting IPMN dysplastic grade.