Treatment outcomes, 30‐day readmission and healthcare resource utilization after pancreatoduodenectomy for pancreatic malignancies

Center-level variation in hospitalization costs of pancreaticoduodenectomy for pancreatic cancer

BACKGROUND

Pancreaticoduodenectomy is a highly morbid operation with significant resource utilization. Using a national cohort, we examined the interhospital variation in pancreaticoduodenectomy hospitalization cost in the United States.

METHODS

Adults undergoing elective pancreaticoduodenectomy in the setting of pancreatic cancer were tabulated from the 2016-2020 Nationwide Readmissions Database. A 2-level mixed-effects model was developed to evaluate the interhospital variation in pancreaticoduodenectomy hospitalization costs. Institutions within the top decile of risk-adjusted expenditures were defined as high-cost hospitals. Multivariable regression models were fitted to examine the association between high-cost hospital status and outcomes of interest. To account for the effects of complications on expenditures, a subgroup analysis comprising of patients with no adverse events was conducted.

RESULTS

The study included an estimated 24,779 patients with a median hospitalization cost of $38,800. After mixed-effects modeling, 40.9% of the cost variation was attributable to hospital, rather than patient, factors. Multivariable regression models revealed an association between high-cost hospital status and greater odds of complications and longer length of stay. Among patients without an adverse event, interhospital cost variation remained significant at 61.0%, and treatment at high-cost hospitals was similarly linked to longer length of stay.

CONCLUSION

Our study identified significant interhospital variation in pancreaticoduodenectomy hospitalization costs in the United States. Although high-cost hospital status was associated with increased odds of complications, variation remained significant even among patients without an adverse event. These results suggest the important role of hospital practices as contributors to expenditures. Further efforts to identify drivers of costs and standardize pancreatic surgical care are warranted.

Systematic Review and Meta-Analysis of the Financial Impact of 30-Day Readmissions for Selected Medical Conditions: A Focus on Hospital Quality Performance

BACKGROUND

The Patient Protection and Affordable Care Act (ACA) established the Hospital Quality Initiative in 2010 to enhance patient safety, reduce hospital readmissions, improve quality, and minimize healthcare costs. In response, this study aims to systematically review the literature and conduct a meta-analysis to estimate the average cost of procedure-specific 30-day risk-standardized unplanned readmissions for Acute Myocardial Infarction (AMI), Heart Failure (HF), Pneumonia, Coronary Artery Bypass Graft (CABG), and Total Hip Arthroplasty and/or Total Knee Arthroplasty (THA/TKA).

METHODS

Eligibility Criteria: This study included English language original research papers from the USA, encompassing various study designs. Exclusion criteria comprise studies lacking empirical evidence on hospital financial performance.

INFORMATION SOURCES

A comprehensive search using relevant keywords was conducted across databases from January 1990 to December 2019 (updated in March 2021), covering peer-reviewed articles and gray literature. Risk of Bias: Bias in the included studies was assessed considering study design, adjustment for confounding factors, and potential effect modifiers.

SYNTHESIS OF RESULTS

The review adhered to PRISMA guidelines. Employing Monte Carlo simulations, a meta-analysis was conducted with 100,000 simulated samples. Results indicated mean 30-day readmission costs: USD 16,037.08 (95% CI, USD 15,196.01-16,870.06) overall, USD 6852.97 (95% CI, USD 6684.44-7021.08) for AMI, USD 9817.42 (95% CI, USD 9575.82-10,060.43) for HF, and USD 21,346.50 (95% CI, USD 20,818.14-21,871.85) for THA/TKA.

DISCUSSION

Despite the financial challenges that hospitals face due to the ACA and the Hospital Readmissions Reduction Program, this meta-analysis contributes valuable insights into the consistent cost trends associated with 30-day readmissions.

CONCLUSIONS

This systematic review and meta-analysis provide comprehensive insights into the financial implications of 30-day readmissions for specific medical conditions, enhancing our understanding of the nexus between healthcare quality and financial performance.

Presence of underlying cirrhosis is associated with increased in-hospital mortality and length of stay following pancreatoduodenectomy

BACKGROUND

Patient- and hospital-level factors associated with outcomes following pancreatoduodenectomy (PD) are well established. However, despite theoretical disruption in hepatopetal flow, the impact of cirrhosis on in-hospital mortality following PD is not well-studied. The objective of this study was to evaluate in-hospital mortality, length of stay (LOS), and post-discharge disposition in patients with cirrhosis undergoing PD.

METHODS

A retrospective analysis of the National Inpatient Sample (January 2002-August 2015) was conducted identifying patients undergoing PD. Using previously validated ICD-9-CM codes, patients were stratified into presence and absence of cirrhosis. Factors associated with in-hospital mortality following PD were analyzed adjusting for patient- and hospital-level factors. Following PD were analyzed after adjusting for patient- and hospital-level factors.

RESULTS

In 16,344 patients that underwent PD, 203 (1.2 %) patients had underlying cirrhosis prior to resection. Overall in-hospital mortality following PD was significantly worse in the cirrhosis cohort (11.3 % vs. 3.6 %, p < 0.001). Patients with underlying cirrhosis were less likely to be discharged home (73.9 % vs. 83.2 %, p < 0.001) and had a longer median LOS (12.0 vs. 10.0 days, p = 0.001).

CONCLUSION

The presence of underlying cirrhosis is associated with increased in-hospital mortality, longer LOS, and decreased likelihood of home discharge following PD. Given the prohibitive risks, PD should not be performed in patients with underlying cirrhosis.

Antibiotic prophylaxis after 48 h postoperatively are not associated with decreased surgical site infections and other healthcare associated infections in pancreatic surgery patients: a retrospective cohort study

BACKGROUND

It is controversial whether antibiotic should be used prophylactically 48 h after pancreatic surgery. Hence, the association of antibiotic prophylaxis (AP) after 48 h postoperatively with the incidence of surgical site infections (SSIs) and other healthcare-associated infections (HAIs) in patients receiving pancreatic surgery was evaluated.

METHODS

A retrospective cohort analysis was performed on 1073 patients who underwent pancreatic surgery. These patients were categorized into the non-AP after 48 h postoperatively group (n = 963) and the AP after 48 h postoperatively group (n = 110) based on whether or not they obtained AP from 48 h to 30 days after surgery. Outcomes included SSIs and other HAIs.

RESULTS

The incidence of SSIs in the non-AP after 48 h postoperatively group (98/963, 10.2%) was notably lower than that in the AP after 48 h postoperatively group (22/110, 20.0%) (P = 0.002). Other HAIs incidence was not significantly different between the non-AP after 48 h postoperatively group (77/963, 8.0%) and the AP after 48 h postoperatively group (11/110, 10.0%) (P = 0.468). Multiple regression analysis demonstrated that AP after 48 h postoperatively was a risk factor for SSIs (OR = 2.14, 95% CI 1.28-3.59) but not for other HAIs (OR = 1.24, 95% CI 0.63-2.42) after adjustment for age, gender, and diabetes. Subsequent to adjustment for all confounding factors, AP after 48 h postoperatively was not a influence factor for SSIs (OR = 2.13, 95% CI 0.76-5.99) and other HAIs (OR = 3.69, 95% CI 0.99-13.81).

CONCLUSIONS

AP after 48 h postoperatively following pancreatic surgery was not associated with the lower morbidity rate of SSIs and other HAIs. Nonetheless, this study may facilitate further development of strategies towards standardization of the duration of AP management of pancreatic surgery.

Do Weekend Discharges Impact Readmission Rate in Patients Undergoing Pancreatic Surgery?

BACKGROUND

Weekend readmissions have been previously associated with increased mortality after pancreatic resection, but the effect of weekend discharge is less understood. In this study, we aim to determine the impact of weekend discharges on 30-day readmission rate after pancreatic surgery.

METHODS

All patients who underwent pancreatic surgery at a single, high-volume institution between 2013 and 2021 were retrospectively reviewed from a targeted, institutional ACS-NSQIP database. Patients who died prior to discharge were excluded. Multivariable logistic regression was used to assess the relationship between readmission and weekend discharge.

RESULTS

Out of 2042 patients who underwent pancreatectomy, 418 patients (20.5%) were discharged on the weekend. Weekend discharge was associated with fewer Whipple surgeries, fewer open surgical approaches, and shorter operative time. Patients discharged on the weekend were also less likely to have had postoperative complications such as delayed gastric emptying (DGE) (6.7% vs 12.6%, p < 0.01) and were more frequently discharged to home (91.1% vs. 85.3%, p < 0.01). Thirty-day readmission rate was almost identical between groups (14.8% vs 14.8%, p = 0.997). On multivariable analysis, 30-day readmission was independently associated with DGE (OR (95% CI): 3.48 (2.31-5.23), p < 0.01), postoperative pancreatic fistula (3.36 (2.34-4.83), p < 0.01), myocardial infarction, and perioperative blood transfusion, but not weekend discharge (1.02 (0.72-1.43), p = 0.93). Readmission rate also did not differ significantly when including Friday discharges in the weekend group (15.2% vs 14.6%, p = 0.72).

CONCLUSIONS

With careful clinical decision making, patients may safely be discharged on the weekend after pancreatic surgery without increasing 30-day readmission rate.

Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications

Simple Summary

With a five-year survival rate of only 3% for the majority of patients, pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel quantitative imaging methods that treat medical images as minable data instead of just pictures, have shown promise in advancing personalized management of pancreatic cancer through diagnosing precursor diseases, early detection, accurate diagnosis, and treatment personalization. Radiomics and deep learning methods aim to collect hidden information in medical images that is missed by conventional radiology practices through expanding the data search and comparing information across different patients. Both methods have been studied and applied in pancreatic cancer. In this review, we focus on the current progress of these two methods in pancreatic cancer and provide a comprehensive narrative review on the topic. With better regulation, enhanced workflow, and larger prospective patient datasets, radiomics and deep learning methods could show real hope in the battle against pancreatic cancer through personalized precision medicine.

Abstract

As the most lethal major cancer, pancreatic cancer is a global healthcare challenge. Personalized medicine utilizing cutting-edge multi-omics data holds potential for major breakthroughs in tackling this critical problem. Radiomics and deep learning, two trendy quantitative imaging methods that take advantage of data science and modern medical imaging, have shown increasing promise in advancing the precision management of pancreatic cancer via diagnosing of precursor diseases, early detection, accurate diagnosis, and treatment personalization and optimization. Radiomics employs manually-crafted features, while deep learning applies computer-generated automatic features. These two methods aim to mine hidden information in medical images that is missed by conventional radiology and gain insights by systematically comparing the quantitative image information across different patients in order to characterize unique imaging phenotypes. Both methods have been studied and applied in various pancreatic cancer clinical applications. In this review, we begin with an introduction to the clinical problems and the technology. After providing technical overviews of the two methods, this review focuses on the current progress of clinical applications in precancerous lesion diagnosis, pancreatic cancer detection and diagnosis, prognosis prediction, treatment stratification, and radiogenomics. The limitations of current studies and methods are discussed, along with future directions. With better standardization and optimization of the workflow from image acquisition to analysis and with larger and especially prospective high-quality datasets, radiomics and deep learning methods could show real hope in the battle against pancreatic cancer through big data-based high-precision personalization.

The Severity of Postoperative Pancreatic Fistula Predicts 30-Day Unplanned Hospital Visit and Readmission after Pancreaticoduodenectomy: A Single-Center Retrospective Cohort Study

Background: Unplanned hospital visits (UHV) and readmissions after pancreaticoduodenectomy (PD) impact patients’ postoperative recovery and are associated with increased financial burden and morbidity. The aim of this study is to identify predictive factors related to these events and target the potentially preventable UHV and readmissions. Methods: We enrolled 518 patients in this study. Characteristics were compared between patients with or without UHV and readmissions. Results: The unplanned visit and readmission rate was 23.4% and 15.8%, respectively. Postoperative pancreatic fistula (POPF) grade B or C, the presence of postoperative biliary drainage, and reoperation were found to be predictive factors for UHV, whereas POPF grade B or C and the presence of postoperative biliary drainage were independently associated with hospital readmission. The most common reason for readmission was an infection, followed by failure to thrive. The overall mortality rate in the readmission group was 4.9%. Conclusions: UHV and readmissions remain common among patients undergoing PD. Patients with grade B or C POPF assessed during index hospitalization harbor an approximately two-fold increased risk of subsequent unplanned visits or readmissions compared to those with no POPF or biochemical leak. Proper preventive strategies should be adopted for high-risk patients in this population to maintain the continuum of healthcare and improve quality.

Postoperative oral energy and protein intakes for an enhanced recovery after surgery program incorporating early enteral nutrition for pancreaticoduodenectomy: A retrospective study

BACKGROUND

Although postoperative early oral feeding in the enhanced recovery after surgery (ERAS) program for pancreaticoduodenectomy (PD) is deemed safe, the assessment of oral intakes has been insufficient. This study aimed to investigate postoperative oral intakes and the effectiveness of an ERAS program incorporating early enteral nutrition (EN).

METHODS

In total, 203 patients with PD were enrolled retrospectively. The first group (group E1; n = 61) comprised 11 ERAS care elements, whereas the second group (group E2; n = 106) comprised 19 elements. The control group (group C; n = 36) was managed using traditional care before ERAS was implemented. Postoperative energy and protein requirements were estimated at 25-30 kcal per kilogram of ideal body weight and 1.2-1.5 g per kilogram of ideal body weight, respectively, and were investigated along with the length of hospital stay (LOS).

RESULTS

The oral energy and protein intakes from the diets in the ERAS groups at postoperative day 7 significantly increased compared with those in group C. Intakes in groups E1 and E2 were not significantly different and provided <30% of the requirements. However, the total intakes, which were compensated by EN, were maintained at >80% of the requirements. LOS was significantly shorter in groups E1 (31 days) and E2 (19 days) than in group C (52 days).

CONCLUSIONS

Postoperative early oral energy and protein intakes of this modified ERAS program failed to meet the dietary requirements. However, early EN compensated for the shortages and contributed to the reduction of LOS.

Inability to manage non-severe complications on an outpatient basis increases non-white patient readmission rates after pancreaticoduodenectomy: A large metropolitan tertiary care center experience

BACKGROUND

Pancreaticoduodenectomy (PD) has a high rate of readmission, and racial disparities in care could be an important contributor.

METHODS

Patients undergoing PD were prospectively followed, and their complications graded using the Modified Accordion Grading System (MAGS). Patient factors and perioperative outcomes for patients with and without postoperative readmission were compared in univariate and multivariate analysis by severity.

RESULTS

837 patients underwent PD, the overall 90-day readmission rate was 27.5%. Non-white race was independently associated with readmission (OR 1.83, p = 0.007). 51.3% of readmissions were for non-severe complications (MAGS <3). Non-white race was independently associated with MAGS non-severe readmission (OR 2.13, p = 0.006), but not MAGS severe readmission.

CONCLUSIONS

Non-white patients are more likely to be readmitted, particularly for non-severe complications. Follow up protocols should be tailored to address race disparities in the rates of readmission as readmission for less severe complications could potentially be avoidable.

Gut microbiota patterns associated with somatostatin in patients undergoing pancreaticoduodenectomy: a prospective study

Postoperative pancreatic fistula (POPF) is a common and dreaded complication after pancreaticoduodenectomy (PD). The gut microbiota has been considered as an crucial mediator of postoperative complications, however, the precise roles of gut microbiota in POPF are unclear. A prospective study was developed to explore the effects of somatostatin on gut microbiota and we aim to identify the microbial alterations in the process of POPF. A total of 45 patients were randomly divided into PD group or additional somatostatin therapy group. The fecal sample of each patient was collected preoperatively and postoperatively and the gut microbiota was analyzed by 16S rRNA sequencing. Our study found that somatostatin therapy was independent risk factor for the occurrence of POPF, and it reduced the microbial diversity and richness in patients. At genus level, somatostatin therapy led to a decreased abundance in Bifidobacterium, Subdoligranulum and Dubosiella, whereas the abundance of Akkermansia, Enterococcus and Enterobacter were increased. The abundance levels of certain bacteria in the gut microbiota have significantly shifted in patients with POPF. The LEfSe analysis revealed that Ruminococcaceae could be used as microbial markers for distinguishing patients with high risk of POPF. Furthermore, Verrucomicrobia and Akkermansia could be used as preoperative biomarkers for identifying patients without POPF. Our prospective study highlights the specific communities related with somatostatin therapy and discovers POPF-associated microbial marker, which suggests that gut microbiota may become a diagnostic biomarker and potential therapeutic target for POPF.

Minimally invasive surgery for pancreatic cancer

Pancreatic cancer is the most lethal malignancy of the digestive organs. Although pancreatic resection is essential to radically cure this refractory disease, the multi-organ resection involved, as well as sequelae such as glucose tolerance insufficiency and severe complications impose a heavy burden on these patients. Since the late twentieth century, minimally invasive surgery has become more popular for the surgical management of digestive disease and pancreatic cancer. Minimally invasive pancreatic resection (MIPR), including pancreaticoduodenectomy and distal pancreatectomy, is now a treatment option for pancreatic cancer. Some evidence suggests that MIPR for pancreatic cancer provides comparable oncological outcomes to open surgery, with some advantages in perioperative outcomes. However, as this evidence is retrospective, prospective investigations, including randomized controlled trials, are necessary. Because neoadjuvant therapy for resectable or borderline-resectable pancreatic cancer and conversion surgery for initially unresectable pancreatic cancer has become more common, the feasibility of MIPR after neoadjuvant therapy or as conversion surgery requires further assessment. It is expected that progress in surgical techniques and devices, as well as the standardization of surgical procedures and widespread educational programs will improve the outcomes of MIPR.

Mortality analysis of Aeromonas hydrophila infection in hepato-biliary pancreatic surgery: Multicenter retrospective observational study

BACKGROUND/PURPOSE

Aeromonas hydrophila can cause lethal infectious complications after surgery. There have been no large cohort studies of this specific to the hepato-biliary-pancreatic (HBP) field. We investigate the postoperative influence of A hydrophila infection after HBP surgery.

METHODS

We retrospectively reviewed patients who underwent HBP surgery between 2008 and 2017 at eight university hospitals. Patients with A hydrophila isolation during perioperative management were extracted, and their postoperative courses were investigated.

RESULTS

Bacterial culture examination of 10 074 patients was performed as perioperative management. Among them, 76 patients (0.75%) had A hydrophila isolation, most of whom underwent pancreatoduodenectomy (n = 38) or hepatectomy with biliary reconstruction (n = 14). There were seven mortalities after these two procedures (13.5%), five within 3 days after the onset of infection. Bile (n = 48) and abdominal drainage fluid (n = 29) were major sites of A hydrophila isolation. Typical prophylactic antibiotics, cefazolin or flomoxef, were mostly resistant. There was no mortality among patients that received sensitive antibiotics prophylactically.

CONCLUSIONS

Isolation of A hydrophila was low in our cases of HBP surgery, but the condition of some patients deteriorated rapidly by this infection. Although there could be several bacterial infections during management of HBP surgery, A hydrophila should not be overlooked. Preparation of appropriate prophylactic antibiotics may prevent or reduce mortality.

Deviations from a clinical pathway post pancreatoduodenectomy predict 90-day unplanned re-admission

Deviations from a post-PD clinical care pathway are common. Poor nutrition and cardiac co-morbidities are associated with an increased likelihood of deviation. As the number of deviations increase, so does the risk of significant complications and interventions, delayed discharge and 90-day re-admission rate.

Radiomics in stratification of pancreatic cystic lesions: Machine learning in action

Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their diagnosis can be challenging as their behavior varies from benign to malignant disease. Precise and timely management of malignant pancreatic cysts might prevent transformation to pancreatic cancer. However, the current consensus guidelines, which rely on standard imaging features to predict cyst malignancy potential, are conflicting and unclear. This has led to an increased interest in radiomics, a high-throughput extraction of comprehensible data from standard of care images. Radiomics can be used as a diagnostic and prognostic tool in personalized medicine. It utilizes quantitative image analysis to extract features in conjunction with machine learning and artificial intelligence (AI) methods like support vector machines, random forest, and convolutional neural network for feature selection and classification. Selected features can then serve as imaging biomarkers to predict high-risk PCLs. Radiomics studies conducted heretofore on PCLs have shown promising results. This cost-effective approach would help us to differentiate benign PCLs from malignant ones and potentially guide clinical decision-making leading to better utilization of healthcare resources. In this review, we discuss the process of radiomics, its myriad applications such as diagnosis, prognosis, and prediction of therapy response. We also discuss the outcomes of studies involving radiomic analysis of PCLs and pancreatic cancer, and challenges associated with this novel field along with possible solutions. Although these studies highlight the potential benefit of radiomics in the prevention and optimal treatment of pancreatic cancer, further studies are warranted before incorporating radiomics into the clinical decision support system.