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ELEVATED NON-ESTERIFIED FATTY ACIDS (NEFA) IN HYPERTRIGLYCERIDEMIC ACUTE PANCREATITIS (HTG-AP) COULD EXPLAIN HIGHER SEVERITY OF HTG-AP COMPARED TO OTHER ETIOLOGIES OF ACUTE PANCREATITIS
Germline genetic testing is recommended for younger patients with idiopathic pancreatitis, but there is no consensus recommendation for those over age 35. We aimed to analyze the results of genetic testing for pancreatic genetic mutations using a large dataset including all ages.
Methods
Individuals (ages 0-90) who underwent germline multigene testing for pancreatitis susceptibility genes (CASR, CFTR, CPA1, CTRC, PRSS1, SPINK1) through a large commercial laboratory between 2017 and 2022 for any cause were selected. Test results and information collected from requisition forms were evaluated. Multivariable logistic regression models were performed to identify factors associated with a positive pancreatitis panel result (defined as at least one pathogenic, likely pathogenic, and/or increased risk variant in a pancreatitis-related gene). Clinically significant results were defined as positive results in PRSS1, biallelic CFTR or SPINK1, or polygenic (i.e., CFTR and CASR).
Results
Overall, 2,468 subjects with primary indication of acute pancreatitis (AP; n=401), chronic pancreatitis (CP; n=631), pancreatic cancer (n=128), or other indications (n=1,308) completed panel testing. Among subjects with AP or CP (n=1,032), the most common variants were monoallelic CFTR (18.8%), monoallelic SPINK (6.9%), PRSS1 (4.5%), polygenic (2.0%), CTRC (1.6%), and biallelic CFTR (1.3%). The frequency of pathogenic variants varied according to age at the time of testing (Figure 1, 2). Variants in CASR contributed to polygenic results (with SPINK1) in 3 subjects. Among patients with pancreatic cancer, 10.2% had monoallelic variants in CFTR, but none had biallelic variants in CFTR.
Among subjects with AP or CP, the frequency of an abnormal result was significantly greater for those <35 versus ≥35 years of age (32.1% vs 24.5%, p=0.007). Similarly, the frequency of a clinically significant result was higher for those <35 vs ≥35 years of age (10.8% vs 5.4%, p=0.001). After adjusting for age, sex, race/ethnicity, primary indication for testing, and family history of pancreatitis, a positive family history of pancreatitis was associated with increased odds ratio (OR) of 8.59 (95% confidence interval (CI) 2.92-25.25) for a clinically significant panel result while each 5-year increase in age at test completion had lower odds (OR 0.89, 95% CI 0.83-0.95).
Discussion
The yield of germline genetic testing is highest in younger individuals with a positive family history of pancreatitis, which supports current recommendations for testing. However, a clinically significant result was found in approximately 5% of older adults. Therefore, we suggest that genetic counseling and germline testing should be considered for patients of all ages with acute or chronic pancreatitis.

Figure 1: Prevalence of positive pancreatitis panel defined by any positive or positive with clinical implications according to age at the time of germline testing among subjects who completed the multigene pancreatitis panel for a primary indication of acute pancreatitis (AP) or chronic pancreatitis (CP) (n=1,032).

Figure 2: Prevalence of pathogenic variants in pancreatitis-associated genes* according to age at the time of germline testing among subjects who completed the multigene pancreatitis panel for a primary indication of acute pancreatitis (AP) or chronic pancreatitis (CP) (n=1,032). *CASR, CPA1 and CTRC are not shown.
Methodology: In this prospective observational cohort study, all consecutive patients with AP presenting within 14 days of onset of abdominal pain were included. Serum cytokines and chemokines were measured in all patients on day 3, 7, 14, 21 and 28 or till hospital discharge. The diagnosis of CSS was made in the presence of (i) elevated levels of serum IL-6 >160 pg/ml, (ii) presence of systemic inflammation such as systemic inflammatory response syndrome >48 hours and (iii) OF grade ≥2 persisting for ≥48 hours in the absence of sepsis. Secondary HLH was diagnosed as per 2004 HLH criteria or a H-score >169. CSS was correlated with clinical outcomes such as OF and mortality.
Results: From February 2021 till August 2022, 152 consecutive patients hospitalized for AP were screened and 98 patients were included in the study: 23 (23.5%) had mild, 24 (24.5%) moderate and 51 (52%) had severe AP as per revised Atlanta Classification. Of the 98 patients, 40 (40.8%) developed CSS with higher admission IL-6 levels [median 278 (IQR 207.5-450) pg/ml vs. 93.75 (43.1-154) pg/ml, p <0.01], modified Marshall OF score [Median 4 (IQR 3-5) vs. 0 (0-2), p <0.01] and higher in-hospital mortality [16 (40%) vs. 6 (10.3%), p=0.001] as compared to no CSS group (N=58). Serum TNF-a (r= 0.878, p=0.009), IL-6 (r=0.85, p=0.015), IL-8 (r=0.772, p=0.042), IL-10 (r=0.832, p=0.02), and IL-1b(r=0.884, p=0.008) showed statistically significant positive correlation with modified Marshall OF score on day 3 in CSS, while CCL-5 (r= 0.875, p=0.01) showed statistically significant negative correlation. Serial change in levels of IL-1b, IL-2, IL-6, IL8, IL-17 and IL-18 correlated with modified Marshalls OF score and mortality (Fig 1). Of the 51 patients with ESAP, 15 patients developed secondary HLH after a median of 9 (IQR 8-14) days from onset of AP HLH resolved on day 20 (15-27) of illness in patients who survived (n=8). Onset and resolution of HLH was in parallel with the onset and resolution of OF (Fig 2). No specific therapy for HLH was given [MOU1] and 6/15 (40%) died in HLH group.
Conclusion: Development of CSS in early phase of AP portended poor outcomes with higher OF and mortality. A proportion of patients with ESAP developed secondary HLH. These entities need to be recognized early to develop therapies targeting exaggerated dysregulated immune responses and improve outcomes in severe AP.

Serum IL-6 level and modified Marshall OF score in survivors and non-survivors (different colors represent different patients)

Box whisker plot showing HLH onset paralleling with onset and resolution of organ failure (MMS: Modified Marshall score)
Methods: We conducted a retrospective cohort study using the TriNetX database in the USA, comprising 9,929,954 new users of ACE inhibitors, ARBs, and dihydropyridine calcium channel blockers (dCCBs) between 2010 and 2021. Adult patients who were new users of ACE inhibitors and ARBs were matched 1:1 using propensity score matching (PSM) for demographic characters, BMI, nicotine dependence, alcohol dependence, comorbidities, HbA1C, baseline blood pressure, use of other cardiovascular medications and anti-diabetic medications with new users of dCCBs. The primary study outcome was incidences of AP. Risk ratios with 95% confidence intervals were calculated for all analyses.
Results: The first cohort included well-matched 304,083 patients in each group with new ACE inhibitor initiators and dCCB initiators after PSM, whereas the second cohort included a well-matched 2,660,521 patients in each group with new users of ARB initiators and dCCB initiators. During the follow-up (mean follow-up 5.8±1.2 yrs., ACE inhibitors vs. 4.9±1.1 yrs., dCCBs), 34,880 patients in the ACE inhibitors and 33,497 patients in the dCCBs cohort developed with AP after an exposure lag of 60 days (RR 1.04; 95% CI 1.02-1.05) (Table 1). In contrast (mean follow-up for ARBs was 5.3±1.0 yrs.), ARBs were not associated with an increased risk of AP compared to the new users of dCCBs (21,987 vs. 26,679; RR 0.82; 95% CI 0.81-0.84). However, there was no clear duration-response relation with AP. Hence, we performed a sensitivity analysis similar to the primary analysis by increasing the lag exposure to different timelines, such as at 6 months, 1 year, and 5 years. Outcomes were similar to the ones generated in the primary analysis.
Conclusion: ACE inhibitors were associated with an increased risk of AP compared with dCCBs, whereas ARB use was negatively associated with AP; hence, this supports that the use of ARBs has a potential protective association with AP. Therefore, clinicians should consider the possibility of ACE inhibitor-associated AP among patients currently taking or new users of ACE inhibitors and those presenting with the diagnosis of AP without a definite cause.

Table 1. Risk ratios for acute pancreatitis comparing ACE inhibitors and ARBs with dCCBs
Methods: Patients presenting to Mayo Clinic AZ Emergency Room with serum lipase > 3-fold upper limit of normal between August 2019 and June 2022 were included. Excluded were patients lacking admission triglycerides and those with active cancer. Patients were then sorted based on admission Triglyceride (TGL) levels with a cut off value of 500 mg/dL (HTG-AP) and etiology of AP based on chart review. These included HTG-AP, Alcoholic AP, Biliary AP, Idiopathic AP and other causes of AP including drugs, post ERCP pancreatitis. Admission serum TGL, NEFA (as µM by gas chromatography), age (years), BMI (kg/m2) were then compared between different etiologies using ordinary one-way ANOVA. ICU admission & sex were compared using a Chi-Square test. P values of <0.05 were regarded as significant.
Results: Among 466 patients, 324 fulfilled inclusion criteria. Of these, 27 patients had HTG-AP, 54 had alcoholic AP, 49 had Biliary AP, 139 had idiopathic AP and 55 had other causes of AP. Serum NEFA were significantly higher (p<0.004) in HTG-AP compared to alcoholic, biliary, idiopathic, other causes of AP (1172±751, 793±514. 748±395, 629±488, 667±303 respectively). Serum TGs in HTG AP were significantly higher (p<0.0001) than other etiologies (1633±4133, 198.2±120.2, 156.9±91.8,191.5±90.7, 176.9±99.2 respectively), while serum lipase in HTG-AP (1052±781 vs. 1381±1086U/L) was similar to others. The BMIs were similar (p>0.4) in all groups (29.1 ± 4.9, 27.6±5.6, 31.10±7.0, 28.0±6.3, 29.3 ±6.8). ICU admissions were also significantly higher in HTG-AP vs non-HTG-AP group (6/27 vs 27/299; p: 0.042) but not in Alcoholic AP vs non-alcoholic AP (4/60 vs 26/266; p:0.622), biliary vs non-biliary AP (9/54 vs 24/274; p:0.085) and other causes of AP (7/59 vs 26/262; p:0.63). ICU admissions were significantly lower in idiopathic AP compared to non-idiopathic AP (5/141 vs 26/175; p:0.0009). Alcoholic AP patients were younger than HTG AP (44.1 ± 16.3 vs. 53.6 ± 13.0 years p=0.045), though there were no differences in age of HTG-AP compared to other groups.
Conclusions: HTG-AP is uniquely associated with higher serum NEFA at the time of admission compared to other AP etiologies. This is associated with a higher rate of ICU admission compared to other etiologies. The higher serum NEFA in HTG-AP may be due to increased lipolysis of the elevated circulating TGs. This lipolytic generation of higher NEFAs in HTG AP may explain the greater severity noted in HTG-AP.