Morbidity and Mortality Trends of Pancreatitis: An Observational Study

Hypertriglyceridemia-Induced Acute Pancreatitis-The Milky Way Constellation-The Seven-Year Experience of a Large Tertiary Centre

(1) Background: Hypertriglyceridemia (HTG) is a well-known metabolic condition associated with an increased risk of acute pancreatitis. In this study, we tried to establish whether there are any significant disparities concerning recurrence rate, intensive care unit (ICU) admission, hospital (ICU and total) length of stay (LoS), morphology, severity and age between HTG-induced acute pancreatitis and any other known cause of pancreatitis (OAP). (2) Methods: The research was a retrospective unicentric cohort study, using information from the Bucharest Acute Pancreatitis Index (BUC-API) registry, a database of 1855 consecutive cases of acute pancreatitis. (3) Results: We found a weak association between HTG-AP and recurrence. The HTG-AP patients were younger, with a median of 44.5 years, and had a longer ICU stay than the OAP patients. In addition, we identified that the HTG-AP patients were more likely to develop acute peripancreatic fluid collection (APFC), to be admitted in ICU, to have a more severe course of disease and to be cared for in a gastroenterology ward. (4) Conclusions: Hypertriglyceridemia-induced APs have a more severe course. The typical patient with HTG-AP is a middle-aged male, with previous episodes of AP, admitted in the gastroenterology ward, with a longer ICU stay and longer length of hospitalization, more likely to evolve in a severe acute pancreatitis (SAP) and with a higher probability of developing APFC.

Acute pancreatitis and metabolic syndrome: genetic correlations and causal associations

BACKGROUND

Although there is a definite correlation between the Metabolic Syndrome (MetS) and Acute Pancreatitis (AP), cause is yet unknown. The current work combined linkage disequilibrium score (LDSC) regression and Mendelian randomization (MR) approaches to fill this important information gap.

METHODS

In this study, we harnessed the power of publicly available gene-wide association databases (GWAS) to explore the intricate relationship between MetS and its components with AP. The cornerstone of our analysis was the Inverse-Variance Weighted (IVW) method, serving as our primary analytical tool. In addition to IVW, we complemented our investigation with several other robust MR methods, including MR-Egger, Weighted Median, Maximum Likelihood, and MR-PRESSO. By employing this diverse set of analytical approaches, we sought to ensure the comprehensiveness and robustness of our findings.

RESULT

LDSC regression indicated a genetic correlation between MetS and AP. Univariate MR results indicated a genetic association between MetS (OR = 1.084; 95% CI, 1.005-1.170; P = 0.037), BMI (OR = 1.459; 95% CI, 1.325-1.606; P = 1.46E-14), WHR (OR = 1.189; 95% CI, 1.068-1.323; P = 1.56 E-03), TG (OR = 1.110; 95% CI, 1.001-1.231; P = 0.047), and FI (OR = 1.798; 95% CI, 1.245-2.595; P = 1.74E-03) were able to significantly increase the risk of AP. The results of multivariate MR analysis revealed that these causality associations still existed.

CONCLUSION

Our investigation has yielded compelling evidence that substantiates the presence of both a genetic correlation and a causal relationship between MetS and AP.

Modified Bedside Index for severity in acute pancreatitis (BISAP) score validation in the national inpatient sample database

PURPOSE

The aim of this study was to build and validate modified score to be used in the healthcare cost and utilization project databases for further classification of acute pancreatitis (AP).

MATERIALS AND METHODS

The National Inpatient Sample database for the years 2016-2019 was queried for all primary adult discharge diagnoses of AP. An mBISAP score system was created utilizing the ICD-10CM codes for pleural effusion, encephalopathy, acute kidney injury, systemic inflammatory response, and age >60. Each was assigned a 1-point score. A multivariable regression analysis was built to test for mortality. Sensitivity and specificity analyses were performed for mortality.

RESULTS

A total of 1,160,869 primary discharges for AP were identified between 2016 and 2019. The pooled mortality rate was: 0.1%, 0.5%, 2.9%, 12.7%, 30.9% and 17.8% (P ​< ​0.01), respectively for scores 0 to 5. Multivariable regression analysis showed increasing odds of mortality with each one-point increment: mBISAP score of 1 (adjusted odds ratio [aOR] 6.67; 95% confidence interval [CI] 4.69-9.48), score of 2 (aOR 37.87; 95% CI 26.05- 55.03), score of 3 (aOR 189.38; 95% CI 127.47-281.38), score of 4 (aOR 535.38; 95% CI 331.74-864.02), score of 5 (aOR 184.38; 95% CI 53.91-630.60). Using a cut-off of ≥3, sensitivity and specificity analyses reported 27.0% and 97.7%, respectively, with an area under the curve (AUC) of 0.811.

CONCLUSION

In this 4-year retrospective study of a US representative database, an mBISAP score was constructed showing increasing odds of mortality with each 1-point increase and a specificity of 97.7% for a cut-off of ≥3.

Acute pancreatitis in liver transplant hospitalizations: Identifying national trends, clinical outcomes and healthcare burden in the United States

BACKGROUND

Acute pancreatitis (AP) in liver transplant (LT) recipients may lead to poor clinical outcomes and development of severe complications.

AIM

We aimed to assess national trends, clinical outcomes, and the healthcare burden of LT hospitalizations with AP in the United States (US).

METHODS

The National Inpatient Sample was utilized to identify all adult (≥ 18 years old) LT hospitalizations with AP in the US from 2007–2019. Non-LT AP hospitalizations served as controls for comparative analysis. National trends of hospitalization characteristics, clinical outcomes, complications, and healthcare burden for LT hospitalizations with AP were highlighted. Hospitalization characteristics, clinical outcomes, complications, and healthcare burden were also compared between the LT and non-LT cohorts. Furthermore, predictors of inpatient mortality for LT hospitalizations with AP were identified. All P values ≤ 0.05 were considered statistically significant.

RESULTS

The total number of LT hospitalizations with AP increased from 305 in 2007 to 610 in 2019. There was a rising trend of Hispanic (16.5% in 2007 to 21.1% in 2018, P-trend = 0.0009) and Asian (4.3% in 2007 to 7.4% in 2019, p-trend = 0.0002) LT hospitalizations with AP, while a decline was noted for Blacks (11% in 2007 to 8.3% in 2019, P-trend = 0.0004). Furthermore, LT hospitalizations with AP had an increasing comorbidity burden as the Charlson Comorbidity Index (CCI) score ≥ 3 increased from 41.64% in 2007 to 62.30% in 2019 (P-trend < 0.0001). We did not find statistically significant trends in inpatient mortality, mean length of stay (LOS), and mean total healthcare charge (THC) for LT hospitalizations with AP despite rising trends of complications such as sepsis, acute kidney failure (AKF), acute respiratory failure (ARF), abdominal abscesses, portal vein thrombosis (PVT), and venous thromboembolism (VTE). Between 2007–2019, 6863 LT hospitalizations with AP were compared to 5649980 non-LT AP hospitalizations. LT hospitalizations with AP were slightly older (53.5 vs 52.6 years, P = 0.017) and had a higher proportion of patients with CCI ≥ 3 (51.5% vs 19.8%, P < 0.0001) compared to the non-LT cohort. Additionally, LT hospitalizations with AP had a higher proportion of Whites (67.9% vs 64.6%, P < 0.0001) and Asians (4% vs 2.3%, P < 0.0001), while the non-LT cohort had a higher proportion of Blacks and Hispanics. Interestingly, LT hospitalizations with AP had lower inpatient mortality (1.37% vs 2.16%, P = 0.0479) compared to the non-LT cohort despite having a higher mean age, CCI scores, and complications such as AKF, PVT, VTE, and the need for blood transfusion. However, LT hospitalizations with AP had a higher mean THC ($59596 vs $50466, P = 0.0429) than the non-LT cohort.

CONCLUSION

In the US, LT hospitalizations with AP were on the rise, particularly for Hispanics and Asians. However, LT hospitalizations with AP had lower inpatient mortality compared to non-LT AP hospitalizations.

Lumen-Apposing Metal Stent With and Without Concurrent Double-Pigtail Plastic Stent for Pancreatic Fluid Collections: A Comparative Systematic Review and Meta-Analysis

Background

Lumen-apposing metal stents (LAMSs) are often used to drain pancreatic fluid collections (PFCs). However, adverse events, such as stent obstruction, infection, or bleeding, have been reported. Concurrent double-pigtail plastic stent (DPPS) deployment has been suggested to prevent these adverse events. This meta-analysis aimed to compare the clinical outcomes of LAMS with DPPS vs. LAMS alone in the drainage of PFCs.

Methods

An extensive search was conducted in the literature to include all the eligible studies that compared LAMS with DPPS vs. LAMS alone for drainage of PFCs. Pooled risk ratios (RRs) with the 95% confidence intervals (CIs) were obtained within a random-effect model. The outcomes were technical and clinical success, and overall adverse events, including stent migration and occlusion, bleeding, infection, and perforation.

Results

Five studies involving 281 patients with PFCs (137 received LAMS plus DPPS vs. 144 received LAMS alone) were included. LAMS plus DPPS group was associated with comparable technical success (RR: 1.01, 95% CI: 0.97 - 1.04, P = 0.70) and clinical success (RR: 1.01, 95% CI: 0.88 - 1.17). Lower trends of overall adverse events (RR: 0.64, 95% CI: 0.32 - 1.29), stent occlusion (RR: 0.63, 95% CI: 0.27 - 1.49), infection (RR: 0.50, 95% CI: 0.15 - 1.64), and perforation (RR: 0.42, 95% CI: 0.06 - 2.78) were observed in LAMS with DPPS group compared to LAMS alone but without a statistical significance. Stent migration (RR: 1.29, 95% CI: 0.50 - 3.34) and bleeding (RR: 0.65, 95% CI: 0.25 - 1.72) were similar between the two groups.

Conclusions

Deployment of DPPS across LAMS for drainage of PFCs has no significant impact on efficacy or safety outcomes. Randomized, controlled trials are necessary to confirm our study results, especially in walled-off pancreatic necrosis.

Proteome-Wide Mendelian Randomization Identifies Causal Links Between Blood Proteins and Acute Pancreatitis

BACKGROUND & AIMS

Acute pancreatitis (AP) is a complex disease and the leading cause of gastrointestinal disease-related hospital admissions. Few therapeutic options exist for AP prevention. Blood proteins with causal evidence may represent promising drug targets, but few have been causally linked with AP. Our objective was to identify blood proteins linked with AP by combining genome-wide association meta-analysis and proteome-wide Mendelian randomization (MR) studies.

METHODS

We performed a genome-wide association meta-analysis totalling 10,630 patients with AP and 844,679 controls and a series of inverse-variance weighted MR analyses using cis-acting variants on 4719 blood proteins from the deCODE study (n = 35,559) and 4979 blood proteins from the Fenland study (n = 10,708).

RESULTS

The meta-analysis identified genome-wide significant variants (P <5 × 10^-8) at 5 loci (ABCG5/8, TWIST2, SPINK1, PRSS2 and MORC4). The proteome-wide MR analyses identified 68 unique blood proteins that may causally be associated with AP, including 29 proteins validated in both data sets. Functional annotation of these proteins confirmed expression of many proteins in metabolic tissues responsible for digestion and energy metabolism, such as the esophagus, adipose tissue, and liver as well as acinar cells of the pancreas. Genetic colocalization and investigations into the druggable genome also identified potential drug targets for AP.

CONCLUSIONS

This large genome-wide association study meta-analysis for AP identified new variants linked with AP as well as several blood proteins that may be causally associated with AP. This study provides new information on the genetic architecture of this disease and identified pathways related to AP, which may be further explored as possible therapeutic targets for AP.

Analysis of acute pancreatitis associated with SGLT-2 inhibitors and predictive factors of the death risk: Based on food and drug administration adverse event report system database

Background and objectives: The US FDA and Health Canada have successively published potential red flags for acute pancreatitis caused by sodium-dependent glucose transporter 2 inhibitors (SGLT-2i). However, existing studies have focused on case reports. We aimed to assess the possible association of SGLT-2i with acute pancreatitis by analyzing postmarketing adverse events reported in the FDA adverse event reporting system (FAERS), to explore risk factors for SGLT-2i-related acute pancreatitis death, and to build a nomogram. Methods and Results: We used a disproportionality analysis of suspected acute pancreatitis-related reports in the FAERS database of patients from the use of SGLT-2i from the first quarter of 2013 to the fourth quarter of 2021. Single-factor and multi-factor logistic regression analyses were performed using the relevant clinical information of patients, and risk factors were combined with the age of patients to construct a SGLT-2i risk prediction model for acute pancreatitis-related death. A total of 757 reports were retrieved. The largest number of acute pancreatitis-related cases were caused by canagliflozin (317 reports), which was also the strongest agent associated with acute pancreatitis, with the information component (IC 2.41, lower 95% one-sided confidence interval 2.16), the reporting odds ratio (ROR 5.37, 95% two-sided confidence interval 4.8-5.99), and the empirical Bayesian geometric mean (EBGM 5.32, lower 90% one-sided confidence interval 4.85). The median time to acute pancreatitis was 54 (interquartile range [IQR] 14-131) days, and approximately 83% of adverse events occurred within 6 months. Odds ratio(OR) adjusted by acute pancreatitis and the coadministration of SGLT-2i with dipeptidyl peptidase 4 inhibitor (DPP-4i), glucagon-like peptide 1 analog (GLP-1RA), and angiotensin converting enzyme inhibitor (ACEIs) was 1.39, 1.97, and 1.34, respectively, all of which were statistically significant. Logistic regression analysis showed that different SGLT-2i type and their combinations with statins were independent risk factors for acute pancreatitis mortality in the patients (p < 0.05). The mortality risk prediction model showed good discrimination and clinical applicability in both the training set (AUC 0.708) and the validation set (AUC 0.732). Conclusion: SGLT-2i may increase the risk of acute pancreatitis especially within the first 6 months of drug administration. Combination with DPP-4i, GLP-1RA or ACEIs significantly increases the risk of acute pancreatitis. In addition, different SGLT-2i type and their combination with statins are risk factors that can predict the risk of death following acute pancreatitis.

Risk Factors for Recurrent Pancreatitis After First Episode of Acute Pancreatitis

Background

Methods

Results

Conclusion