Pancreatology最新文献

Background

Acute cholangitis (AC) is a common complication of pancreatic ductal adenocarcinoma (PDAC). Herein, we evaluated outcomes after the first AC episode and predictors of mortality and AC recurrence in patients with stage IV PDAC.

Methods

We conducted a single-center, retrospective observational study using institutional databases. Clinical data and outcomes for patients with stage IV PDAC and at least one documented episode of AC, were assessed. Overall survival (OS) was estimated using the Kaplan-Meier method, and Cox regression model was employed to identify predictors of AC recurrence and mortality.

Results

One hundred and twenty-four patients with stage IV PDAC and AC identified between January 01, 2014 and October 31, 2020 were included. Median OS after first episode of AC was 4.1 months (95 % CI, 4.0–5.5), and 30-day, 6, and 12-month survival was 86.2 % (95 % CI, 80.3–92.5), 37 % (95 % CI, 29.3–46.6 %) and 18.9 % (95 % CI, 13.1–27.3 %), respectively. Primary tumor in pancreatic body/tail (HR 2.29, 95 % CI: 1.26 to 4.18, p = 0.011), concomitant metastases to liver and other sites (HR 1.96, 95 % CI: 1.16 to 3.31, p = 0.003) and grade 3 AC (HR 2.26, 95 % CI: 1.45 to 3.52, p < 0.001), predicted worse outcomes. Intensive care unit admission, sepsis, systemic therapy, treatment regimen, and time to intervention did not predict survival or risk of recurrence of AC.

Conclusions

AC confers significant morbidity and mortality in advanced PDAC. Worse outcomes are associated with higher grade AC, primary tumor location in pancreatic body/tail, and metastases to liver and other sites.

Background/objectives

Autoimmune pancreatitis (AIP) is a steroid-responsive inflammatory disease of the pancreas. Few studies investigated pancreatic exocrine function (PEF) in patients suffering from AIP and no definitive data are available on the effect of steroids in PEF recovery. Aim of the study is the evaluation of severe pancreatic insufficiency (sPEI) prevalence in AIP at clinical onset and after steroid treatment.

Methods

312 Patients with diagnosis of AIP between January 1st^, 2010 and December 31st^, 2020 were identified in our prospectively maintained register. Patients with a pre-steroid treatment dosage of fecal elastase-1 (FE-1) were included. Changes in PEF were evaluated in patients with available pre- and post-treatment FE (between 3 and 12 months after steroid).

Results

One-hundred-twenty-four patients were included, with a median FE-1 of 122 (Q1-Q3: 15–379) μg/g at baseline. Fifty-nine (47.6 %) had sPEI (FE-1<100 μg/g). Univariable analysis identified type 1 AIP, radiological involvement of the head of the pancreas (diffuse involvement of the pancreas or focal involvement of the head), weight loss, age and diabetes as associated with a greater risk of sPEI. However, at multivariable analysis, only the involvement of the head of the pancreas was identified as independent risk factor for sPEI. After steroids, mean FE-1 changed from 64 (15–340) to 202 (40–387) μg/g (P = 0.058) and head involvement was the only predictor of improvement of sPEI.

Conclusion

The inflammatory involvement of the head of the pancreas is associated with PEF severity, as well as PEF improvement after treatment with steroids in patients with AIP.

Background/Objectives

No simple, accurate diagnostic tests exist for exocrine pancreatic insufficiency (EPI), and EPI remains underdiagnosed in chronic pancreatitis (CP). We sought to develop a digital screening tool to assist clinicians to predict EPI in patients with definite CP.

Methods

This was a retrospective case-control study of patients with definite CP with/without EPI. Overall, 49 candidate predictor variables were utilized to train a Classification and Regression Tree (CART) model to rank all predictors and select a parsimonious set of predictors for EPI status. Five-fold cross-validation was used to assess generalizability, and the full CART model was compared with 4 additional predictive models. EPI misclassification rate (mRate) served as primary endpoint metric.

Results

274 patients with definite CP from 6 pancreatitis centers across the United States were included, of which 58 % had EPI based on predetermined criteria. The optimal CART decision tree included 10 variables. The mRate without/with 5-fold cross-validation of the CART was 0.153 (training error) and 0.314 (prediction error), and the area under the receiver operating characteristic curve was 0.889 and 0.682, respectively. Sensitivity and specificity without/with 5-fold cross-validation was 0.888/0.789 and 0.794/0.535, respectively. A trained second CART without pancreas imaging variables (n = 6), yielded 8 variables. Training error/prediction error was 0.190/0.351; sensitivity was 0.869/0.650, and specificity was 0.728/0.649, each without/with 5-fold cross-validation.

Conclusion

We developed two CART models that were integrated into one digital screening tool to assess for EPI in patients with definite CP and with two to six input variables needed for predicting EPI status.

Background

In the second-line treatment of advanced pancreatic cancer (APC), there is only one approved regimen based on the phase III NAPOLI-1 trial. However, for patients progressing after Nab-paclitaxel and Gemcitabine (Nab-P/Gem) or Nab-P combinations, second-line treatment were very limited.

Methods

This is a retrospective single-center analysis of patients. Our aim was to determine the effectiveness and tolerability of a novel regimen, gemcitabine plus Anlotinib and anti-PD1, in APC patients and to compare it with oxaliplatin, irinotecan, leucovorin, and fluorouracil (FOLFIRINOX) in the second-line setting who have failed on the first-line Nab-P combinations.

Results

In total, twenty-three patients received Gemcitabine plus Anlotinib and anti-PD1 in the second-line, 28 patients were treated with FOLFORINOX. There was no significant difference in overall survival (OS) or progression free survival (PFS) for either of the two sequences (p > 0.05). Patients who received Gemcitabine plus Anlotinib and anti-PD1 had a median PFS of 4.0 months (95% CI: 1.1–6.9) versus 3.5 months (95% CI 1.8–5.2) in FOLFORINOX group (p = 0.953). The median OS of Gemcitabine plus Anlotinib and anti-PD1 was 9.0 months (95% CI: 4.0–13.7) and 8.0 months (95% CI: 5.5–10.5) in FOLFORINOX group (p = 0.373). Grade ≥3 treatment-emergent adverse events (AEs) occurred for 13% of patients with Gemcitabine plus Anlotinib and anti-PD1 and 40% for FOLFORINOX.

Conclusion

Our data confirms the effectiveness of Gemcitabine plus Anlotinib and anti-PD1 as a well-tolerated regimen in the second-line treatment of APC and extends available data on its use as a second-line treatment option when compared with FOLFIRINOX.

Background/objectives

Liposomal irinotecan plus 5-fluorouracil and leucovorin (nal-IRI + 5-FU/LV) provides survival benefits for metastatic pancreatic adenocarcinoma (mPDAC) refractory to gemcitabine-based treatment, mainly gemcitabine plus nab-paclitaxel (GA), in current practice. Gemcitabine plus S-1 (GS) is another commonly administered first-line regimen before nab-paclitaxel reimbursement; however, the efficacy and safety of nal-IRI + 5-FU/LV for mPDAC after failed GS treatment has not been reported and was therefore explored in this study.

Methods

In total, 177 patients with mPDAC received first-line GS or GA treatment, followed by second-line nal-IRI + 5-FU/LV treatment (identified from a multicenter retrospective cohort in Taiwan from 2018 to 2020); 85 and 92 patients were allocated to the GS and GA groups, respectively. Overall survival (OS), time-to-treatment failure (TTF), and adverse events were compared between the two groups.

Results

The baseline characteristics of the two groups were generally similar; however, a higher median age (67 versus 62 years, p < 0.001) and fewer liver metastases (52% versus 78%, p < 0.001) were observed in the GS versus GA group. The median OS was 15.0 and 15.9 months in the GS and GA groups, respectively (p = 0.58). The TTF (3.1 versus 2.8 months, p = 0.36) and OS (7.6 versus 6.7 months, p = 0.83) after nal-IRI treatment were similar between the two groups. More patients in the GS group developed mucositis during nal-IRI treatment (15% versus 4%, p = 0.02).

Conclusions

The efficacy of second-line nal-IRI +5-FU/LV treatment was unaffected by prior S-1 exposure. GS followed by nal-IRI treatment is an alternative treatment sequence for patients with mPDAC.

Postoperative pancreatic fistula (POPF) is a major cause of morbidity and mortality after pancreatoduodenectomy (PD), and previous research has focused on patient-related risk factors and comparisons between anastomotic techniques. However, it is recognized that surgeon experience is an important factor in POPF outcomes, and that there is a significant learning curve for the pancreatic anastomosis. The aim of this study was to review the current literature on training models for the pancreatic anastomosis, and to explore areas for future research. It is concluded that research is needed to understand the mechanical properties of the human pancreas in an effort to develop a synthetic model that closely mimics its mechanical properties. Virtual reality (VR) is an attractive alternative to synthetic models for surgical training, and further work is needed to develop a VR pancreatic anastomosis training module that provides both high fidelity and haptic feedback.

Background

The global incidence of acute pancreatitis (AP) is increasing, but little information exists about trends in Australia. This study aimed to describe incidence trends, along with clinical and socio-demographic associations, in the state of Tasmania over a recent 12-year period.

Methods

The study cohort was obtained by linking clinical and administrative datasets encompassing the whole Tasmanian population between 2007 and 2018, inclusive. Pancreatitis case definition was based on relevant ICD-10 hospitalization codes, or elevated serum lipase or amylase in pathology data.

Age-standardised incidence rates were estimated, overall and stratified by sex, aetiology, and Index of Relative Socio-economic Disadvantage (IRSD).

Results

In the study period, 4905 public hospital AP episodes were identified in 3503 people. The age-standardised person-based incidence rate across the entire period was 54 per 100,000 per year. Incidence was inversely related to IRSD score; 71 per 100,000 per year in the most disadvantaged quartile compared to 32 in the least disadvantaged. Biliary AP incidence was higher than that of alcohol-related AP, although the greatest incidence was in “unspecified” cases. There was an increase in incidence for the whole cohort (average annual percent change 3.23 %), largely driven by the two most disadvantaged IRSD quartiles; the least disadvantaged quartile saw a slight overall decrease.

Conclusion

This is the first Australian study providing robust evidence that AP incidence is increasing and is at the upper limit of population-based studies worldwide. This increased incidence is greatest in socio-economically disadvantaged areas, meriting further research to develop targeted, holistic management strategies.

Objectives

Screening for pancreatic ductal adenocarcinoma (PDAC) is considered in high-risk individuals (HRIs) with established PDAC risk factors, such as family history and germline mutations in PDAC susceptibility genes. Accurate assessment of risk factor status is provider knowledge-dependent and requires extensive manual chart review by experts. Natural Language Processing (NLP) has shown promise in automated data extraction from the electronic health record (EHR). We aimed to use NLP for automated extraction of PDAC risk factors from unstructured clinical notes in the EHR.

Methods

We first developed rule-based NLP algorithms to extract PDAC risk factors at the document-level, using an annotated corpus of 2091 clinical notes. Next, we further improved the NLP algorithms using a cohort of 1138 patients through patient-level training, validation, and testing, with comparison against a pre-specified reference standard. To minimize false-negative results we prioritized algorithm recall.

Results

In the test set (n = 807), the NLP algorithms achieved a recall of 0.933, precision of 0.790, and F₁-score of 0.856 for family history of PDAC. For germline genetic mutations, the algorithm had a high recall of 0.851, while precision and F₁-score were lower at 0.350 and 0.496 respectively. Most false positives for germline mutations resulted from erroneous recognition of tissue mutations.

Conclusions

Rule-based NLP algorithms applied to unstructured clinical notes are highly sensitive for automated identification of PDAC risk factors. Further validation in a large primary-care patient population is warranted to assess real-world utility in identifying HRIs for pancreatic cancer screening.