Comparison of Scoring Systems in Predicting Severity and Prognosis of Hypertriglyceridemia-Induced Acute Pancreatitis

Clinical Outcomes of Diabetes Mellitus on Moderately Severe Acute Pancreatitis and Severe Acute Pancreatitis

Objective

To analyze the influence of diabetes mellitus on the clinical outcomes of moderately severe acute pancreatitis (MSAP) and severe acute pancreatitis (SAP).

Methods

This retrospective study included patients diagnosed with MSAP and SAP at Shanxi Bethune Hospital from January 1, 2017, to December 31, 2021. Clinical data were collected, including patient demographics, 24-hour laboratory indicators, and inflammation indices. Propensity score matching (PSM) was used to compare outcomes before and after matching. Patients were randomized into training and validation sets (7:3) to develop and validate a clinical prediction model for infected pancreatic necrosis (IPN).

Results

Among 421 patients, 79 had diabetes at admission. Before PSM, diabetic patients had higher incidences of peripancreatic fluid (71% vs 47%, p<0.001) and IPN (48% vs 10%, p<0.001), higher surgical intervention rates (24% vs 12%, p=0.008), and significant differences in abdominocentesis (22% vs 11%, p=0.014). After PSM, 174 patients were matched, and the diabetes group still showed higher incidences of peripancreatic fluid (69% vs 47%, p=0.008), IPN (48% vs 11%, p<0.001), and surgical intervention rates (27% vs 13%, p=0.037). Diabetes, modified CT severity index (MCTSI), serum calcium, and HDL-c were identified as independent risk factors for IPN. The prediction model demonstrated good predictive value.

Conclusion

In MSAP and SAP patients, diabetes mellitus can exert an influence on their clinical outcome and is an independent risk factor for IPN. The alignment diagram and web calculator constructed on the basis of diabetes mellitus, modified CT severity index (MCTSI), serum calcium and high-density lipoprotein cholesterol (HDL-c) have good predictive value and clinical guidance for the occurrence of IPN in MSAP and SAP.

Liproxstatin-1 attenuates acute hypertriglyceridemic pancreatitis through inhibiting ferroptosis in rats

Ferroptosis is closely associated with inflammatory diseases, including acute pancreatitis (AP); however, the involvement of ferroptosis in hypertriglyceridemic pancreatitis (HTGP) remains unclear. In the present study, we aimed to explore the relationship between lipid metabolism and ferroptosis in HTGP and the alleviating effect of liproxstatin-1 (Lip-1) in vivo. This study represents the first exploration of lipid metabolism and endoplasmic reticulum stress (ERS) in HTGP, targeting ferroptosis as a key factor in HTGP. Hypertriglyceridemia (HTG) was induced under high-fat diet conditions. Cerulein was then injected to establish AP and HTGP models. Lip-1, a specific ferroptosis inhibitor, was administered before the induction of AP and HTGP in rats, respectively. Serum triglyceride, amylase, inflammatory factors, pathological and ultrastructural structures, lipid peroxidation, and iron overload indicators related to ferroptosis were tested. Moreover, the interaction between ferroptosis and ERS was assessed. We found HTG can exacerbate the development of AP, with an increased inflammatory response and intensified ferroptosis process. Lip-1 treatment can attenuate pancreatic injury by inhibiting ferroptosis through lipid metabolism and further resisting activations of ERS-related proteins. Totally, our results proved lipid metabolism can promote ferroptosis in HTGP by regulating ACSL4/LPCAT3 protein levels. Additionally, ERS may participate in ferroptosis via the Bip/p-EIF2α/CHOP pathway, followed by the alleviating effect of Lip-1 in the rat model.

Neutrophil CD64 index as a new early predictive biomarker for infected pancreatic necrosis in acute pancreatitis

OBJECTIVE

Infectious pancreatic necrosis (IPN) is a serious complication of acute pancreatitis, and early recognition and timely intervention are the keys to improving clinical outcomes. The purpose of this study was to investigate the predictive capacity of the neutrophil CD64 index (nCD64 index) on IPN in patients with acute pancreatitis METHODS: This study comprises two independent cohorts: the training cohort consisted of 202 patients from Hunan Provincial People's Hospital, and the validation cohort consisted of 100 patients from Changsha Central Hospital. Peripheral blood samples were collected on the day of admission and on the 3rd, 5th, 7th, and 10th days of hospitalization, and the nCD64 index was detected by flow cytometry. Additionally, relevant clinical characteristics and laboratory biomarkers were collected and analyzed.

RESULTS

We observed that nCD64 index on admission was significantly higher in the IPN group than Non-IPN group (p < 0.001). In the training cohort, a higher occurrence rate of IPN was observed in the high nCD64 index group compared to the moderate and low nCD64 index group (p < 0.001). Further analysis showed that nCD64 index was significant positive correlated with the incidence rate of IPN (p < 0.001, correlation coefficient = 0.972). Furthermore, logistic regression analysis showed that high expression of the nCD64 index on admission was a risk factor for the occurrence of IPN (OR = 2.971, p = 0.038). We further found that the nCD64 index of IPN patients was significantly higher than the Non-IPN patients on the days 1, 3, and 5 after admission, and the nCD64 index of IPN patients before and after the onset (p < 0.05). At the same time, this study revealed that the nCD64 index on admission showed good predictive efficacy for IPN (AUC = 0.859, sensitivity = 80.8%, specificity = 87.5%), which was comparable to APACHE II score. And this finding was further validated in an independent cohort of 100 participants (AUC = 0.919, Sensitivity = 100.0%, Specificity = 76.6%).

CONCLUSION

This study demonstrated the clinical value of nCD64 index in patients with IPN patients for the first time through two independent cohort studies. The nCD64 index can be used as an early prediction and risk assessment tool for the occurrence of IPN, contributing to the improvement of patient outcomes and efficiency of medical resource allocation.

Red cell distribution width: A predictor of the severity of hypertriglyceridemia-induced acute pancreatitis

BACKGROUND

Compared with patients with other causes of acute pancreatitis, those with hypertriglyceridemia-induced acute pancreatitis (HTG-AP) are more likely to develop persistent organ failure (POF). Therefore, recognizing the individuals at risk of developing POF early in the HTG-AP process is a vital for improving outcomes. Bedside index for severity in acute pancreatitis (BISAP), a simple parameter that is obtained 24 h after admission, is an ideal index to predict HTG-AP severity; however, the suboptimal sensitivity limits its clinical application. Hence, current clinical scoring systems and biochemical parameters are not sufficient for predicting HTG-AP severity.

AIM

To elucidate the early predictive value of red cell distribution width (RDW) for POF in HTG-AP.

METHODS

In total, 102 patients with HTG-AP were retrospectively enrolled. Demographic and clinical data, including RDW, were collected from all patients on admission.

RESULTS

Based on the Revised Atlanta Classification, 37 (33%) of 102 patients with HTG-AP were diagnosed with POF. On admission, RDW was significantly higher in patients with HTG-AP and POF than in those without POF (14.4% vs 12.5%, P < 0.001). The receiver operating characteristic curve demonstrated a good discriminative power of RDW for POF with a cutoff of 13.1%, where the area under the curve (AUC), sensitivity, and specificity were 0.85, 82.4%, and 77.9%, respectively. When the RDW was ≥ 13.1% and one point was added to the original BISAP to obtain a new BISAP score, we achieved a higher AUC, sensitivity, and specificity of 0.89, 91.2%, and 67.6%, respectively.

CONCLUSION

RDW is a promising predictor of POF in patients with HTG-AP, and the addition of RDW can promote the sensitivity of BISAP.

Establishment and validation of early prediction model for hypertriglyceridemic severe acute pancreatitis

BACKGROUND

The prevalence of hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) is increasing due to improvements in living standards and dietary changes. However, currently, there is no clinical multifactor scoring system specific to HTG-AP. This study aimed to screen the predictors of HTG-SAP and combine several indicators to establish and validate a visual model for the early prediction of HTG-SAP.

METHODS

The clinical data of 266 patients with HTG-SAP were analysed. Patients were classified into severe (N = 42) and non-severe (N = 224) groups according to the Atlanta classification criteria. Several statistical analyses, including one-way analysis, least absolute shrinkage with selection operator (LASSO) regression model, and binary logistic regression analysis, were used to evaluate the data.

RESULTS

The univariate analysis showed that several factors showed no statistically significant differences, including the number of episodes of pancreatitis, abdominal pain score, and several blood diagnostic markers, such as lactate dehydrogenase (LDH), serum calcium (Ca2+), C-reactive protein (CRP), and the incidence of pleural effusion, between the two groups (P < 0.000). LASSO regression analysis identified six candidate predictors: CRP, LDH, Ca2+, procalcitonin (PCT), ascites, and Balthazar computed tomography grade. Binary logistic regression multivariate analysis showed that CRP, LDH, Ca2+, and ascites were independent predictors of HTG-SAP, and the area under the curve (AUC) values were 0.886, 0.893, 0.872, and 0.850, respectively. The AUC of the newly established HTG-SAP model was 0.960 (95% confidence interval: 0.936-0.983), which was higher than that of the bedside index for severity in acute pancreatitis (BISAP) score, modified CT severity index, Ranson score, and Japanese severity score (JSS) CT grade (AUC: 0.794, 0.796, 0.894 and 0.764, respectively). The differences were significant (P < 0.01), except for the JSS prognostic indicators (P = 0.130). The Hosmer-Lemeshow test showed that the predictive results of the model were highly consistent with the actual situation (P > 0.05). The decision curve analysis plot suggested that clinical intervention can benefit patients when the model predicts that they are at risk for developing HTG-SAP.

CONCLUSIONS

CRP, LDH, Ca2+, and ascites are independent predictors of HTG-SAP. The prediction model constructed based on these indicators has a high accuracy, sensitivity, consistency, and practicability in predicting HTG-SAP.

Nonlinear Relationship Between Serum Total Cholesterol Levels and the Severity of Hypertriglyceridemic Acute Pancreatitis: A Cohort Study in China

BACKGROUND

The relationship between total cholesterol (TC) levels and the severity of hypertriglyceridemic acute pancreatitis (HTGAP) remains unclear.

AIMS

The aim of this study was to investigate the relationship between the levels of TC at admission with the severity of HTGAP, in order to apply it as a reliable predictor at early stage in clinical practice.

METHODS

We performed a cohort study including 249 patients with AHTGP between November 2012 and April 2022 in XuanWu Hospital. Fasting TC was assayed within 24 h of admission, age, gender, body mass index, hypertension, diabetes mellitus, drinking, smoking, neutrophil-lymphocyte ratio, C-reactive protein and glucose were recorded as confounding factors. To evaluate the relationship of TC and the severity of HTGAP, we used smooth curve fitting and a segmented regression model with adjustment of confounding factors to analyze the threshold effect between TC and SAP occurrence risk.

RESULTS

249 Patients were enrolled. The incidence of SAP was 25.3% (63/249). A nonlinear relationship between TC level and the severity of HTGAP. 6.09 mmol/L was the optimal TC value associated with the lowest risk of SAP occurrence. Moreover, TC level was negatively correlated with risk of severe HTGAP occurrence for TC < 6.09 mmol/L (OR 0.45, 95% CI 0.23-0.85, P = 0.014) and positively correlated for TC > 6.09 mmol/L in HTGAP patients (OR 1.14, 95% CI 1.04-1.26, P = 0.006).

CONCLUSIONS

We found that serum TC level is nonlinearly associated with the severity of HTGAP, and it can be a reliable predictor for early intervention and intensive care.

Low-grade inflammation for predicting severe acute pancreatitis in patients with hypertriglyceridemic acute pancreatitis

OBJECTIVES

We aimed to evaluate the association between low-grade inflammation (LGI) and the severity of hypertriglyceridemic acute pancreatitis (HTG-AP).

METHODS

We retrospectively reviewed 311 patients with HTG-AP who were admitted to the Department of Gastroenterology, Fujian Provincial Hospital between April 2012 and March 2021. Inpatient medical and radiological records were reviewed to collect the clinical manifestations, disease severity, and comorbidities. C-reactive protein (CRP) level, white blood cell (WBC) count, platelet (PLT) count, and neutrophil-to-lymphocyte ratio (NLR) were considered LGI components and were combined to calculate a standardized LGI score. The association between the LGI score and the severity of HTG-AP was analyzed using univariate and multivariate logistic regression analyses.

RESULTS

Of the 311 patients with HTG-AP, 47 (15.1%) had mild acute pancreatitis (MAP), 184 (59.2%) had moderately severe acute pancreatitis (MSAP), and 80 (25.7%) had severe acute pancreatitis (SAP), respectively. Patients with MSAP and SAP had a higher LGI score than those with MAP (1.50 vs -6.00, P < 0.001). Univariate logistic regression analysis revealed that patients with LGI scores in the fourth quartile were more likely to have MSAP and SAP (odds ratio [OR] 21.925, 95% confidence interval [CI] 5.014-95.867, P < 0.001). The multivariate logistic regression analysis confirmed that low calcium (OR 0.105, 95% CI 0.011-0.969, P = 0.047) and high LGI score (OR 1.253, 95% CI 1.066-1.473, P = 0.006) were associated with MSAP and SAP. When predicting the severity of acute pancreatitis, the LGI score had the highest area under the receiver operating characteristic (ROC) curve (0.7737) compared to its individual components.

CONCLUSION

An elevated LGI score was associated with a higher risk of SAP in patients with HTG-AP.

A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis

Background

Persistent organ failure (POF) is the leading cause of death in patients with acute necrotizing pancreatitis (ANP). Although several risk factors have been identified, there remains a lack of efficient instruments to accurately predict the incidence of POF in ANP.

Methods

Retrospectively, the clinical and imaging data of 178 patients with ANP were collected from our database, and the patients were divided into training (n = 125) and validation (n = 53) cohorts. Through computed tomography image acquisition, the volume of interest segmentation, and feature extraction and selection, a pure radiomics model in terms of POF prediction was established. Then, a clinic-radiomics model integrating the pure radiomics model and clinical risk factors was constructed. Both primary and secondary endpoints were compared between the high- and low-risk groups stratified by the clinic-radiomics model.

Results

According to the 547 selected radiomics features, four models were derived from features. A clinic-radiomics model in the training and validation sets showed better predictive performance than pure radiomics and clinical models. The clinic-radiomics model was evaluated by the ratios of intervention and mechanical ventilation, intensive care unit (ICU) stays, and hospital stays. The results showed that the high-risk group had significantly higher intervention rates, ICU stays, and hospital stays than the low-risk group, with the confidence interval of 90% (p < 0.1 for all).

Conclusions

This clinic-radiomics model is a useful instrument for clinicians to evaluate the incidence of POF, facilitating patients' and their families' understanding of the ANP prognosis.

Clinical Value of Hospital-Community-Family Integrated Nursing Model in the Treatment of Patients with Hyperlipidemia Pancreatitis

Objective

This study aimed to observe the impact of the hospital-community-family integrated nursing paradigm on the compliance, psychological state, and blood lipid levels in patients with hyperlipidemia pancreatitis (HLP).

Methods

Totally 66 HLP patients treated in our institution between June 2018 and June 2021 were randomized to Exp group and Con group. The Exp group received the hospital-community-family integrated nursing mode, whereas Con group adopted conventional nursing. Outcome measures included patient compliance, mental state, and blood cholesterol levels.

Results

Patients with integrated nursing exhibited markedly higher compliance than those with conventional nursing, as evinced by higher scores of compliance behavior, compliance awareness, medication attitude, and treatment attitude (P < 0.05). Integrated nursing offered more potent mitigation of negative emotions of patients than conventional nursing (P < 0.05). Integrated nursing resulted in better enhanced quality of life of patients versus conventional nursing (P < 0.05). Superior blood lipid amelioration was observed in patients after integration nursing versus those after conventional nursing, demonstrated by a higher serum high-density lipoprotein (HDL) level, and lower levels of triglycerides (TG), cholesterol (TC), and low-density lipoprotein (LDL) (P < 0.05). Patients were more satisfied with integrated nursing (96.97%) than conventional nursing (72.73%), suggesting a high patient acceptance of the nursing mode (P < 0.05).

Conclusion

The hospital-community-family integrated nursing model provides a viable alternative to enhance HLP patients' compliance and optimize their psychological state and blood lipid levels, demonstrating good potential for clinical promotion.

A modified Ranson score to predict disease severity, organ failure, pancreatic necrosis, and pancreatic infection in patients with acute pancreatitis

Background

Although there are several scoring systems currently used to predict the severity of acute pancreatitis, each of them has limitations. Determine the accuracy of a modified Ranson score in predicting disease severity and prognosis in patients with acute pancreatitis (AP).

Methods

AP patients admitted or transferred to our institution were allocated to a modeling group (n = 304) or a validation group (n = 192). A modified Ranson score was determined by excluding the fluid sequestration parameter and including the modified computed tomography severity index (CTSI). The diagnostic performance of the modified Ranson score was compared with the Ranson score, modified CTSI, and bedside index of severity in acute pancreatitis (BISAP) score in predicting disease severity, organ failure, pancreatic necrosis and pancreatic infection.

Results

The modified Ranson score had significantly better accuracy that the Ranson score in predicting all four outcome measures in the modeling group and in the validation group (all p < 0.05). For the modeling group the modified Ranson score had the best accuracy for predicting disease severity and organ failure, and second-best accuracy for predicting pancreatic necrosis and pancreatic infection. For the verification group, it had the best accuracy for predicting organ failure, second-best accuracy for predicting disease severity and pancreatic necrosis, and third-best accuracy for predicting pancreatic infection.

Conclusion

The modified Ranson score provided better accuracy than the Ranson score in predicting disease severity, organ failure, pancreatic necrosis and pancreatic infection. Relative to the other scoring systems, the modified Ranson system was superior in predicting organ failure.

Predictive value of hyperglycemia on infection in critically ill patients with acute pancreatitis

To analyze the predictive value of hyperglycemia on the extrapancreatic infection (EPI) and infected pancreatic necrosis (IPN) of severe patients with acute pancreatitis (AP). We enrolled 234 patients with acute pancreatitis admitted to the intensive care unit (ICU) of the Second Affiliated Hospital of Nanchang University from July 2017 to July 2022 for a retrospective cohort study. We collected maximum blood glucose values three times after admission to the ICU within 120 h (Glu1: 0-24 h, Glu2: 24-48 h, Glu3: 48-120 h), the levels of leucocyte, blood urea nitrogen (BUN), C-reactive protein (CRP), procalcitonin (PCT), and albumin within 24 h after admission to the ICU, and the BISAP and SIRS scores of all patients within 24 h. EPI was taken as the primary outcome indicator and IPN as the secondary outcome indicator. The accuracy of blood glucose values in predicting acute pancreatitis infection was measured by the area under the curve (AUC). A total of 56 patients appeared EPI. Univariate analysis showed that Glu3 was associated with IPN in critically ill patients with AP. Multivariate logistic regression analysis showed that Glu2, Glu3, and SIRS > 48 h were associated with EPI in critically ill patients with AP. The AUCs of Glu2 and Glu3 to predict EPI were 0.805(95%CI: 0.717-0.892) and 0.782(95%CI: 0.685-0.878), respectively, and the cutoff values were 12.60 mmol/L and 14.75 mmol/L, respectively. The AUC of Glu2 combined with Glu3 to predict EPI was 0.812(0.725-0.899). The maximum blood glucose on Day2-5 after admission to the ICU can predict infection in critically ill patients with AP. There are differences in etiology while glucose predicting infection. Patients with hypertriglyceridemia AP need to intervene blood glucose levels more actively and earlier, and control it more strictly.

Acute pancreatitis due to hypertriglyceridemia: Plasmapheresis versus medical treatment

OBJECTIVE

Hypertriglyceridemia (HTG) is the third-most common cause of acute pancreatitis. Plasmapheresis is an extracorporeal treatment method used for treatment. This study aimed to investigate the efficacy of medical treatment and plasmapheresis in patients with acute pancreatitis due to HTG.

METHODS

This was a retrospective cross-sectional study. The patients were divided into two groups according to the treatment they received as those who received only medical treatment and those who performed plasmapheresis with medical treatment. According to the treatment received by the patients; clinical, demographic, and laboratory data, Ranson scores, and bedside index of severity in acute pancreatitis (BISAP) scores, decrease in triglyceride levels in 24 h, length of hospital stay, and outcomes were recorded.

RESULTS

Forty-seven patients were included in the study. The level of triglyceride decreases at the 24^th h was 59.7% ±17.3% in those who received medical treatment and was 70.4% ±15.1% in those who received plasmapheresis (P = 0.032). Receiver operating characteristic curve analysis was performed to predict the need for plasmapheresis treatment, area under the curve (AUC) value of the triglyceride level was the highest (AUC: 0.822, 95% confidence interval: [0.703-0.940]; P < 0.001), the sensitivity and specificity were 83.3% and 72.4%, respectively, and the cut-off value of triglyceride was accepted as 3079.5 mg/dL.

CONCLUSION

Plasma triglyceride levels and BISAP score on admission may help physicians to predict the need for plasmapheresis. Plasmapheresis helps to rapidly reduce triglyceride levels in patients with HTG-associated acute pancreatitis.

The Clinical Characteristics and Outcome of Elderly Patients With Acute Pancreatitis

OBJECTIVES

This study aimed to identify the risk factors for the progression of acute pancreatitis (AP) to severe acute pancreatitis (SAP) and death in elderly patients.

METHODS

This was a single-center retrospective study conducted in a tertiary teaching hospital. Data on patient demographics, comorbidities, duration of hospitalization, complications, interventions, and mortality rates were collected.

RESULTS

Between January 2010 and January 2021, 2084 elderly patients with AP were included in this study. The mean age of the patients was 70.0 years (standard deviation, 7.1 years). Among them, 324 (15.5%) had SAP and 105 died (5.0%). The 90-day mortality rate in the SAP group was significantly higher than that in the AP group (P < 0.0001). Multivariate regression analysis revealed that trauma, hypertension, and smoking were risk factors for SAP. After multivariate adjustment, acute respiratory distress syndrome, acute kidney injury, sepsis, organ perforation, and abdominal hemorrhage were associated with higher 90-day mortality.

CONCLUSIONS

Traumatic pancreatitis, hypertension, and smoking are independent risk factors for SAP in elderly patients. Acute respiratory distress syndrome, acute kidney injury, sepsis, organ perforation, and abdominal hemorrhage are independent risk factors for death in elderly patients with AP.

Value of BISAP score for predicting severity of hyperlipidemic acute pancreatitis: A meta-analysis

BACKGROUND

Early identification of hyperlipidemic acute pancreatitis (HLAP) patients at risk of developing potentially lethal complications is of great clinical significance. Studies have suggested that the bedside index for in acute pancreatitis (BISAP) score is associated with adverse outcomes.

AIM

To assess the accuracy of BISAP score as a prognostic marker for severity of HLAP.

METHODS

A systematic search of main computerized databases was performed to identify eligible cohort studies on the predictive value of BISAP score for severity of HLAP. The STATA software and Meta-disc software were applied to carry out the meta-analysis.

RESULTS

Ten studies (n = 1591) were included. The overall sensitivity and specificity of BISAP score ≥ 3 for predicting mortality in HLAP were 0.85 (95% confidence interval [CI]: 0.65-0.96) and 0.86 (95%CI: 0.82-0.88), respectively; the area under the curve (AUC) was 0.937, and the diagnostic odds ratio (DOR) was 42.00 (95%CI: 12.86-139.12). Regarding the increase of BISAP score for prediction of severe acute pancreatitis (SAP), the pooled sensitivity was 0.69 (95%CI: 0.61-0.76), and the specificity was 0.82 (95%CI: 0.78-0.85), with AUC and DOR being 0.900 and 18.47 (95%CI: 6.82-42.03), respectively. The pooled sensitivity, specificity, and DOR for prediction of moderately severe acute pancreatitis (MASP) + SAP were 0.54 (95%CI: 0.50-0.63), 0.91 (95%CI: 0.89-0.93), and 15.55 (95%CI: 6.91-34.99), respectively; the AUC was 0.724. BISAP score was superior to APACH Ⅱ and Ranson score in predicting the severity of HLAP.

CONCLUSION

BISAP score is a reliable tool to identify the severity of HLAP, but it has a suboptimal sensitivity for predicting SAP and SAP + MSAP.

The predictive value of procalcitonin combined with C-reactive protein and D dimer in moderately severe and severe acute pancreatitis

OBJECTIVE

The objective of this study is to investigate the predictive value of a parametric model constructed by using procalcitonin, C-reactive protein (CRP) and D dimer within 48 h after admission in moderately severe and severe acute pancreatitis.

METHODS

A total of 238 patients were enrolled, of which 170 patients were moderately severe and severe acute pancreatitis (MSAP+SAP). The concentrations of procalcitonin, CRP and D dimer within 48 h after admission were obtained. The predictive value of the parametric model, modified computed tomography severity index (MCTSI), bedside index for severity in acute pancreatitis (BISAP), Ranson score, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, modified Marshall score and systemic inflammatory response syndrome (SIRS) score of all patients was calculated and compared.

RESULTS

The area under receiver operator characteristic curve, sensitivity, specificity, Youden index and critical value of the parametric model for predicting MSAP+SAP were 0.853 (95% CI, 0.804-0.903), 84.71%, 70.59%, 55.30% and 0.2833, respectively. The sensitivity of the parametric model was higher than that of MCTSI (84.00%), Ranson score (73.53%), BISAP (56.47%), APACHE II score (27.65%), modified Marshall score (17.06%) and SIRS score (78.24%); the specificity of it were higher than that of MCTSI (52.94%) and Ranson score (67.65%), but lower than BISAP (73.53%), APACHE II score (76.47%), modified Marshall score (100%)and SIRS score (100.00%).

CONCLUSION

The parametric model constructed by using procalcitonin 48 h, CRP 48 h and D dimer 48 h can be regarded as an evaluation model for predicting moderately severe and severe acute pancreatitis.

Hypertriglyceridaemia-Induced Acute Pancreatitis: A Different Disease Phenotype

Acute pancreatitis (AP) is the most common gastrointestinal indication requiring hospitalisation. Severe hypertriglyceridaemia (HTG) is the third most common aetiology of AP (HTGAP), with a complication rate and severity that are higher than those of other aetiologies (non-HTGAP). The aim of this study was to evaluate the supposedly higher complication rate of HTGAP compared to non-HTGAP. The secondary objectives were to find different biomarkers for predicting a severe form. This was a retrospective study that included patients admitted with AP in a tertiary department of gastroenterology and hepatology. The patients were divided into two groups: HTGAP and non-HTGAP. We searched for differences regarding age, gender, the presence of diabetes mellitus (DM), the severity of the disease, the types of complications and predictive biomarkers for severity, hospital stay and mortality. A total of 262 patients were included, and 11% (30/262) of the patients had HTGAP. The mean ages were 44.4 ± 9.2 in the HTGAP group and 58.2 ± 17.1 in the non-HTGAP group, p < 0.0001. Male gender was predominant in both groups, at 76% (23/30) in the HTGAP group vs. 54% (126/232) in non-HTGAP, p = 0.02; 53% (16/30) presented with DM vs. 18% (42/232), p < 0.0001. The patients with HTG presented higher CRP 48 h after admission: 207 mg/dL ± 3 mg/dL vs. non-HTGAP 103 mg/dL ± 107 mg/dL, p < 0.0001. Among the patients with HTGAP, there were 60% (18/30) with moderately severe forms vs. 30% (71/232), p = 0.001, and 16% (5/30) SAP vs. 11% (27/232) in non-HTGAP, p = 0.4 Among the predictive markers, only haematocrit (HT) and blood urea nitrogen (BUN) had AUCs > 0.8. According to a multiple regression analysis, only BUN 48 h was independently associated with the development of SAP (p = 0.05). Diabetes mellitus increased the risk of developing severe acute pancreatitis (OR: 1.3; 95% CI: 0.1963−9.7682; p = 0.7). In our cohort, HTGAP more frequently had local complications compared with non-HTGAP. A more severe inflammatory syndrome seemed to be associated with this aetiology; the best predictive markers for complicated forms of HTGAP were BUN 48 h and HT 48 h.

Pleural effusion volume in patients with acute pancreatitis: a retrospective study from three acute pancreatitis centers

OBJECTIVE

To assess the value of pleural effusion volume (PEV) quantified on chest computed tomography (CT) in patients with early stage acute pancreatitis (AP).

METHODS

Data of PEV, and C-reactive protein (CRP) levels as well as Ranson, bedside index of severity in acute pancreatitis (BISAP), Marshall, acute physiology and chronic health evaluation II (APACHE II), CT severity index (CTSI), and extra-pancreatic inflammation on computed tomography (EPIC) scores in patients with AP were collected. Duration of hospitalization, severity of AP, infection, procedure, intensive care unit (ICU) admission, organ failure, or death were included as the outcome parameters.

RESULTS

In 465 patients, the mean PEV was 98.8 ± 113.2 mL. PEV showed strong and significant correlations with the CRP levels, duration of hospitalization as well as the Ranson, BISAP, Marshall, APACHE II, CTSI, and EPIC scores (p < .05). PEV demonstrated significant accuracy in predicting severity, infection, procedure, ICU admission, organ failure, and death (p < .05).

CONCLUSION

PEV quantified on chest CT positively associated with the duration of hospitalization, CRP levels, Ranson, BISAP, Marshall, APACHE II, CTSI, and EPIC scores. It can be a reliable radiologic biomarker in predicting severity and clinical outcomes of AP.KEY MESSAGESPleural effusion is a common chest finding in patients with acute pancreatitis.Pleural effusion volume quantified on chest CT examination positively associated with the duration of hospitalization, CRP level, as well as Ranson, BISAP, Marshall, APACHE II, CTSI, and EPIC scoring systems.Pleural effusion volume can be a reliable radiologic biomarker in the prediction of severity and clinical outcomes of acute pancreatitis.

Gut microbiome in acute pancreatitis: A review based on current literature

The gut microbiome is a complex microbial community, recognized for its potential role in physiology, health, and disease. The available evidence supports the role of gut dysbiosis in pancreatic disorders, including acute pancreatitis (AP). In AP, the presence of gut barrier damage resulting in increased mucosal permeability may lead to translocation of intestinal bacteria, necrosis of pancreatic and peripancreatic tissue, and infection, often accompanied by multiple organ dysfunction syndrome. Preserving gut microbial homeostasis may reduce the systemic effects of AP. A growing body of evidence suggests the possible involvement of the gut microbiome in various pancreatic diseases, including AP. This review discusses the possible role of the gut microbiome in AP. It highlights AP treatment and supplementation with prebiotics, synbiotics, and probiotics to maintain gastrointestinal microbial balance and effectively reduce hospitalization, morbidity and mortality in an early phase. It also addresses novel therapeutic areas in the gut microbiome, personalized treatment, and provides a roadmap of human microbial contributions to AP that have potential clinical benefit.

Combined detection of procalcitonin, heparin-binding protein, and interleukin-6 is a promising assay to diagnose and predict acute pancreatitis

Background

Acute pancreatitis (AP), one of the most common clinical emergencies, is characterized by variable clinical features and inadequate diagnostic methods. At present, the commonly used indicators do not have high specificity and do not necessarily reflect disease severity. We therefore aimed to investigate diagnostic and prognostic value of plasma procalcitonin, heparin‐binding protein, and interleukin‐6 for acute pancreatitis by separate detection and joint detection.

Methods

The study involved 451 participants, including 343 AP patients and 108 healthy controls. We analyzed the association of the three biomarkers with the severity and prognosis of AP.

Results

A statistically significant increase in the mean plasma analyte levels was detected in the study group compared to the control group. Multivariate comparison showed that plasma levels of PCT, HBP, and IL‐6 were all significantly different among the three groups at different sampling times (1st, 3rd, 7th, and 10th day of admission) (p < 0.01). The combination of the three indicators had significantly higher diagnostic value than either the individual markers or pairwise combinations (p < 0.001). The levels of the three were all significantly higher in severe acute pancreatitis (SAP) patients than in non‐SAP patients (p < 0.001); meanwhile, patients with high levels had a worse prognosis than those with low levels (p < 0.05). In multivariate analysis adjusted for age and sex, high levels of PCT, HBP, and IL‐6 were found to be independently associated with the development of AP.

Conclusions

It dramatically improved the diagnostic power of AP when PCT, HBP, and IL‐6 were combined; high PCT, HBP, and IL‐6 levels within 3 days of admission may be the potentially useful indicators for predicting SAP.

Cardiac indicator CK-MB might be a predictive marker for severity and organ failure development of acute pancreatitis

Background

The prediction of severe acute pancreatitis (SAP) is the key to providing timely and targeted intensive care for acute pancreatitis (AP). The heart is one of multiple organs involved in the early stage of SAP, but the predictive ability of cardiac dysfunction for SAP remains elusive. We sought to determine if the serum levels of three cardiac indicators (CI) including N-terminal pro-brain natriuretic peptide (NT-proBNP), cardiac troponin I (cTNI), and creatine kinase myocardial band (CK-MB) at admission could predict the occurrence of SAP and the development of related organ failure (OF).

Methods

A retrospective, single-center cohort study was conducted on the files of patients presenting to the emergency intensive care unit and medical ward of a regional hospital in Shanghai. Patients diagnosed as having AP and who met the 2012 Atlanta guideline were admitted within 48 hours after disease onset.

Results

Of the 670 AP patients screened, 238 were enrolled into the study and divided into mild acute pancreatitis (MAP) (n=59), moderate severe acute pancreatitis (MSAP) (n=123), and SAP (n=56) groups. No significant difference was found in baseline age, gender, duration from disease onset to admission, comorbidity, or substance abuse. As the levels of three CIs were significantly higher in the SAP group than in the MAP and MSAP groups, the enrolled patients were regrouped into non-SAP and SAP groups for predictive evaluation. Multivariate analysis and nomogram modelling showed that CK-MB, but not cTNI or NT-proBNP predicted the occurrence of SAP [area under curve (AUC) =0.805, confidence interval (CI): 0.794–0.905]. Specifically, 89 patients with OF (Modified Marshall score ≥2) upon admission were selected and CK-MB was shown to predict (AUC =0.805, CI: 0.794–0.905) persistent OF (n=48, duration of OF >48 hours) compared to transient organ failure (TOF) (n=41, duration of OF <48 hours).

Conclusions

CIs including NT-proBNP, cTNI, and CK-MB were elevated in the early stage of AP. CK-MB might be used as an efficient predictive biomarker for SAP occurrence and OF development at admission.

The association of parameters of body composition and laboratory markers with the severity of hypertriglyceridemia-induced pancreatitis

BACKGROUND

Hypertriglyceridemia has arisen as the third leading cause of acute pancreatitis. This study aimed at exploring the association between the severity of hypertriglyceridemia-induced pancreatitis (HTGP) and computed tomography (CT)-based body composition parameters and laboratory markers.

METHODS

Laboratory and clinical parameters were collected from 242 patients with HTGP between 2017 and 2020. Severity of HTGP was evaluated by original or modified CT severity index. Body composition parameters such as area and radiodensity of muscle, subcutaneous adipose tissue and visceral adipose tissue were calculated by CT at the level of third lumbar vertebra. Parameters were compared between mild and moderately severe to severe HTGP. Uni-variate and multi-variate Logistic regression analyses were employed to assess the risk factors of the severity of HTGP.

RESULTS

Seventy patients (28.9%) presented with mild HTGP. Body mass index, waist circumference and all CT-based body composition parameters differed between male and female patients. None was associated with the severity of HTGP, neither in males nor in females. Receiver operating characteristic curves showed that areas under the curves of apolipoprotein A-I and albumin to predict the severity of HTGP were 0.786 and 0.759, respectively (all P < 0.001). Uni-variate and further multi-variate Logistic regression analysis confirmed that low serum albumin (< 35 g/L, P = 0.004, OR = 3.362, 95%CI = 1.492-8.823) and apolipoprotein A-I (< 1.1 g/L, P < 0.001, OR = 5.126, 95%CI = 2.348-11.195), as well as high C-reactive protein (> 90 mg/L, P = 0.005, OR = 3.061, 95%CI = 1.407-6.659) and lipase (P = 0.033, OR = 2.283, 95%CI = 1.070-4.873) were risk factors of moderately severe to severe HTGP. Levels of albumin, apolipoprotein A-I, C-reactive protein and lipase were also associated with the length of hospital stay (all P < 0.05). Besides, low serum albumin, low-density lipoprotein cholesterol and high radiodensity of subcutaneous adipose tissue were significant risk factors of pancreatic necrosis in patients with HTGP (all P < 0.05).

CONCLUSIONS

Low serum albumin and apolipoprotein A-I, and high C-reactive protein and lipase upon admission were associated with a more severe type of HTGP and longer hospital stay for these patients. Albumin and apolipoprotein A-I may serve as novel biomarkers for the severity of HTGP. However, none of the body composition parameters was associated with the severity of HTGP.

Predictive value of the sequential organ failure assessment (SOFA) score for prognosis in patients with severe acute ischemic stroke: a retrospective study

OBJECTIVE

To identify the risk factors for early death and determine the predictive value of the sequential organ failure assessment (SOFA) score for prognosis of severe acute ischemic stroke (AIS).

METHODS

A total of 110 patients with severe AIS were enrolled and divided into the non-survivor (n = 34) and survivor groups (n = 76). Logistic regression analysis was conducted to identify risk factors for early death, while the receiver operator characteristic (ROC) curve was used to determine the predictive effect of the SOFA score on prognosis.

RESULTS

Logistic regression analysis showed that urinary tract infection (odds ratio [OR] = 17.364, 95% confidence interval [CI]: 1.903-158.427), mechanical ventilation (OR = 1.754, 95% CI: 1.648-2.219), and osmotic therapy (OR = 2.835, 95% CI: 1.871-5.102) were significantly correlated with early death of severe AIS. ROC curve analysis of the area under the curve after hospitalization showed that the maximum SOFA and ΔSOFA scores exceeded 0.7.

CONCLUSION

Our study shows that urinary tract infection, mechanical ventilation, and osmotic therapy are risk factors for early death of severe AIS. The SOFA score has good predictive value for prognosis of severe AIS. These findings may provide a guideline for improving clinical outcome.

Multifactorial Scores and Biomarkers of Prognosis of Acute Pancreatitis: Applications to Research and Practice

Acute pancreatitis (AP) is a severe inflammation of the pancreas presented with sudden onset and severe abdominal pain with a high morbidity and mortality rate, if accompanied by severe local and systemic complications. Numerous studies have been published about the pathogenesis of AP; however, the precise mechanism behind this pathology remains unclear. Extensive research conducted over the last decades has demonstrated that the first 24 h after symptom onset are critical for the identification of patients who are at risk of developing complications or death. The identification of these subgroups of patients is crucial in order to start an aggressive approach to prevent mortality. In this sense and to avoid unnecessary overtreatment, thereby reducing the financial implications, the proper identification of mild disease is also important and necessary. A large number of multifactorial scoring systems and biochemical markers are described to predict the severity. Despite recent progress in understanding the pathophysiology of AP, more research is needed to enable a faster and more accurate prediction of severe AP. This review provides an overview of the available multifactorial scoring systems and biochemical markers for predicting severe AP with a special focus on their advantages and limitations.

Up-regulation of long non-coding RNA AWPPH inhibits proliferation and invasion of gastric cancer cells via miR-203a/DKK2 axis

AWPPH is a newly discovered long non-coding RNA (lncRNA). However, the expression and function of AWPPH in gastric cancer (GC) have not yet been clarified. This study tries to assess the expression and biological roles of AWPPH in GC and the underlying mechanism. The expression of lncRNA AWPPH was evaluated in GC tissues and adjacent normal tissues from 40 patients. Cell Counting Kit-8 (CCK8) and transwell assays were applied to assess cell proliferation and invasion capabilities. Bioinformatics tool was employed to predict AWPPH's sponging miRNA, while luciferase reporter assays were used to verify the target. LncRNA AWPPH was remarkably downregulated in GC and associated with metastasis. CCK8 and transwell assays proved that AWPPH inhibited cell proliferation and invasion in GC cells. MiR-203a was a predicted and further verified target of AWPPH. DKK2 was verified as a direct target of miR-203a. Upregulation of miR-203a attenuated the repressive effects of AWPPH on GC cell proliferation and invasion. AWPPH inhibited GC cell proliferation and invasion via miR-203a/DKK2 axis. This finding might provide new insight for the potential therapeutic strategies for GC in the future.