Chronic Pancreatitis Pain Associated With Energy Drink Consumption: A Case Report.

Chronic pancreatitis is commonly associated with heavy alcohol use and cigarette smoking, though many cases of chronic pancreatitis are idiopathic. Energy drink consumption has been on the rise over the last decade, with an adverse health risk profile including gastrointestinal symptoms such as dyspepsia, reflux, and gastritis. There have been several case reports linking energy drink consumption to presentations of acute pancreatitis in adult patients. To our knowledge, the association between energy drinks and episodes of chronic pancreatitis flares has not been well studied. This article explores a case of chronic pancreatitis pain related to excessive energy drink consumption in an adult male patient. This study aims to shed light on energy drinks as a potential etiology of chronic pancreatitis flares, and emphasizes the importance of counseling patients on the potential risks of excessive energy drink consumption.

Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma.

Interventional oncology is a rapidly growing field with advances in minimally invasive image-guided local-regional treatments for hepatocellular carcinoma (HCC), including transarterial chemoembolization, transarterial radioembolization, and thermal ablation. However, current standardized clinical staging systems for HCC are limited in their ability to optimize patient selection for treatment as they rely primarily on serum markers and radiologist-defined imaging features. Given the variation in treatment responses, an updated scoring system that includes multidimensional aspects of the disease, including quantitative imaging features, serum markers, and functional biomarkers, is needed to optimally triage patients. With the vast amounts of numerical medical record data and imaging features, researchers have turned to image-based methods, such as radiomics and artificial intelligence (AI), to automatically extract and process multidimensional data from images. The synthesis of these data can provide clinically relevant results to guide personalized treatment plans and optimize resource utilization. Machine learning (ML) is a branch of AI in which a model learns from training data and makes effective predictions by teaching itself. This review article outlines the basics of ML and provides a comprehensive overview of its potential value in the prediction of treatment response in patients with HCC after minimally invasive image-guided therapy.

Glycemic control is not associated with neurocognitive decline after cardiac surgery.

BACKGROUND: Whether perioperative glycemic control is associated with neurocognitive decline (NCD) after cardiac surgery was examined. METHODS: Thirty patients undergoing cardiac surgery utilizing cardiopulmonary bypass (CPB) were screened for NCD preoperatively and on postoperative day 4 (POD4). Indices of glucose control were examined. Serum cytokine levels were measured and human transcriptome analysis was performed on blood samples. Neurocognitive data are presented as a change from baseline to POD4 in a score standardized with respect to age and gender. RESULTS: A decline in neurocognitive function was identified in 73% (22/30) of patients on POD4. There was no difference in neurocognitive function between patients with elevated HbA1c levels preoperatively (p = .973) or elevated fasting blood glucose levels the morning of surgery (>126 mg/dl, p = .910), or a higher maximum blood glucose levels during CPB (>180 mg/dl, p = .252), or higher average glucose levels during CPB (>160 mg/dl, p = .639). Patients with postoperative leukocytosis (WBC ≥ 10.5) had more NCD when compared to their baseline function (p = .03). Patients with elevated IL-8 levels at 6 h postoperatively had a significant decline in NCD at POD4 (p = .04). Human transcriptome analysis demonstrated unique and differential patterns of gene expression in patients depending on the presence of DM and NCD. CONCLUSIONS: Perioperative glycemic control does not have an effect on NCD soon after cardiac surgery. The profile of gene expression was altered in patients with NCD with or without diabetes.

Effects of neuropeptide Y on the microvasculature of human skeletal muscle.

BACKGROUND: Neuropeptide Y acts directly on the vasculature as a cotransmitter with norepinephrine for an augmented contraction. Little, however, is known about the effects of neuropeptide Y on the microvasculature of human skeletal muscle. Neuropeptide Y signaling has not been studied in the setting of cardiac surgery and cardiopulmonary bypass. We investigated the role of neuropeptide Y signaling on vasomotor tone in the microvessels of human skeletal muscle, as well as the effect of cardiopulmonary bypass on neuropeptide Y-induced responsiveness. METHODS: Specimens taken from intercostal muscles were collected from patients, pre- and post-cardiopulmonary bypass, undergoing coronary artery bypass grafting or cardiac valve surgery (n = 8/group). Microvessels (157 ± 47 microns) were isolated in vitro in a no-flow state. Arterial microvascular responses to a neuropeptide Y agonist, a Y1 receptor antagonist, phenylephrine, and the coadministration of neuropeptide Y and phenylephrine were examined. The abundance and localization of the Y1 receptor were measured using Western blot and immunofluorescence, respectively. RESULTS: Arterial microvessels showed responsiveness to the neuropeptide Y agonist (10-9 to 4 × 10-7 mol/L) both before and after cardiopulmonary bypass, reaching a 12.5% vasoconstriction from the baseline luminal diameter. With administration of the Y1 receptor antagonist after neuropeptide Y, the contractile response was eliminated (n = 3/group, P = .04). No difference in vasoconstriction was observed between pre- and post-cardiopulmonary bypass groups (P = .73). The coadministration of neuropeptide Y and phenylephrine (10-9 to 10-4 mol/L) elicited no difference in vasoconstriction (n = 7/group, P = .06 both pre- and post-cardiopulmonary bypass) when compared with phenylephrine alone (10-9 to 10-4 mol/L). No change in the protein expression or localization of the Y1 receptor was detected by Western blotting (n = 6/group, P = .44) or immunofluorescence (n = 6/group, P = .13). CONCLUSION: Neuropeptide Y induced vasoconstriction, suggesting that neuropeptide Y may play an important role in the regulation of the peripheral microvasculature. There was no change in microvascular responsiveness to neuropeptide Y after cardiopulmonary bypass nor were there any synergistic effects of neuropeptide Y on phenylephrine-induced vasoconstriction in the skeletal muscle microvasculature.

Younger age is associated with greater early neurocognitive decline postcardiopulmonary bypass.

Objective: To examine the effect of aging on postoperative neurocognitive decline (NCD) in cardiac surgery patients. Methods: Patients undergoing coronary artery bypass graft or open aortic valve replacement were administered the Repeatable Battery for the Assessment of Neuropsychological Status at preoperative, postoperative day (POD) 4, and 1 month. Blood samples were collected at preoperative, 6 hours postoperative, and POD 4. Plasma interleukin (IL)-6, tumor necrosis factor-α, and C-reactive protein (CRP) levels were quantified. Quality of life was measured with the 12-Item Short Form Health Survey. Data were analyzed using paired ratio and unpaired t tests with Welch's correction, and linear regression for cytokine levels. Results: NCD occurred in 15 patients (N = 33, 45.5%). Dichotomized at age extremes (<60 years; ≥75 years), youngest patients had greater preoperative scores (P = .02) with lower scores by POD 4 (P = .03). There was no NCD in the oldest patients, and scores were not different between age groups on POD 4 (P = .08). Regression at 1 month showed NCD scores again declined by age (n = 15), with younger scores returning toward baseline (P = .008). Regression analyses showed decline by age at 6 hours postoperative and POD 4 in plasma CRP levels (P = .05 6 hours, P = .02 POD 4). Dichotomizing IL-6 levels by age (<70 years, ≥70 years) demonstrated that levels were greater in younger versus older patients at 6 hours postoperative (P = .03), but not on POD 4. Conclusions: Younger patients tend to have better cognitive scores before surgery but scores at POD 4 are similar to those of older patients, with this trend disappearing at 1 month. IL-6 and CRP upregulation is greater in younger patients, suggesting that a robust perioperative inflammatory response may be associated with reduction in neurocognitive function, and this may be greater in younger versus older patients.