Objective:To evaluate the predictive value of the Controlling Nutritional Status (CONUT) score for severe acute pancreatitis (SAP).Methods:A total of 426 patients with acute pancreatitis (AP) admitted to the First Affiliated Hospital of Zhengzhou University between January and December 2024 were retrospectively reviewed. After applying exclusion criteria, 189 patients were included and classified into non-severe AP (NSAP) and SAP groups according to diagnostic criteria. Demographic characteristics (age, sex, underlying diseases), vital signs, CONUT score, Bedside Index for Severity in Acute Pancreatitis (BISAP) score, and laboratory parameters (including complete blood count, blood glucose, liver and kidney function, coagulation profile, amylase, and lipase) on admission were compared between the two groups. Binary logistic regression was used to identify independent risk factors associated with AP severity. Receiver operating characteristic (ROC) curves were generated to assess the predictive performance of each indicator by determining the area under the curve (AUC), sensitivity, specificity, and optimal cutoff values.Results:Compared with the NSAP group, the SAP group had significantly longer hospital stays, higher respiratory rates, and elevated levels of PCT, CRP, absolute neutrophil count, AST, GGT, PT, D-dimer, INR, fibrinogen, FDP, as well as higher CONUT, SIRS, and BISAP scores (all P < 0.05). In contrast, the NSAP group showed significantly higher red blood cell count, hemoglobin, absolute lymphocyte count, serum calcium, albumin, total cholesterol, prothrombin time activity, and PNI score (all P < 0.05). Binary logistic regression analysis identified CONUT score ( OR = 1.623, 95% CI: 1.048–2.512) and BISAP score ( OR = 19.608, 95% CI: 6.585–58.387) as independent risk factors for disease severity. The AUC values for predicting SAP using CONUT score, BISAP score, and their combination were 0.694, 0.815, and 0.864, respectively. Conclusions:The CONUT score is an early independent risk factor for SAP. Combining CONUT with BISAP scores provides better predictive performance for assessing the severity of acute pancreatitis.

Objective To explore the relationship between plantar fascia stiffness and windlass mechanism and their impact on the arch,and provide a biomechanical mechanism explanation for plantar fascia and arch-related diseases.Methods A foot-plate model with 30° flexion angle at the metatarsophalangeal joint was constructed.The musculoskeletal model combined with the three-dimensional finite element analysis method was used,and the dynamic data of the foot during walking at the speed of 5 km/h was obtained using dual fluoroscopic imaging system(DFIS).The finite element model was verified,and the influence of plantar fascia stiffness on the capstan mechanism and arch-related mechanical parameters was explored.Results The finite element simulation analysis results were highly consistent with the foot data obtained by DFIS,confirming the validity of the model.With the increase of plantar fascia stiffness,the windlass effect and the stiffness of the longitudinal arch of the foot both showed an increasing trend,but the flexion angle of the metatarsophalangeal joint decreased,the distal stress of the plantar fascia gradually decreased,and the proximal stress increased;when the plantar fascia stiffness was 25％-150％,the width of the transverse arch of the foot increased with the increase of plantar fascia stiffness,while the height of the transverse arch decreased with the increase of plantar fascia stiffness;when the plantar fascia stiffness was 150％-200％,the width of the transverse arch of the foot decreased,the height increased,and the stiffness also increased.Conclusions An increase in plantar fascia stiffness can enhance the windlass mechanism to some extent,but it also leads to a reduction in metatarsophalangeal joint flexion.The stiffness of the plantar fascia affects the metatarsophalangeal joint flexion,thereby impacting the windlass mechanism and the distal tensile force of the plantar fascia.Together with the ground reaction force at the distal end of the metatarsals,these factors collectively influence the stiffness of the transverse arch of the foot.

Objective To explore the relationship between plantar fascia stiffness and windlass mechanism and their impact on the arch,and provide a biomechanical mechanism explanation for plantar fascia and arch-related diseases.Methods A foot-plate model with 30° flexion angle at the metatarsophalangeal joint was constructed.The musculoskeletal model combined with the three-dimensional finite element analysis method was used,and the dynamic data of the foot during walking at the speed of 5 km/h was obtained using dual fluoroscopic imaging system(DFIS).The finite element model was verified,and the influence of plantar fascia stiffness on the capstan mechanism and arch-related mechanical parameters was explored.Results The finite element simulation analysis results were highly consistent with the foot data obtained by DFIS,confirming the validity of the model.With the increase of plantar fascia stiffness,the windlass effect and the stiffness of the longitudinal arch of the foot both showed an increasing trend,but the flexion angle of the metatarsophalangeal joint decreased,the distal stress of the plantar fascia gradually decreased,and the proximal stress increased;when the plantar fascia stiffness was 25％-150％,the width of the transverse arch of the foot increased with the increase of plantar fascia stiffness,while the height of the transverse arch decreased with the increase of plantar fascia stiffness;when the plantar fascia stiffness was 150％-200％,the width of the transverse arch of the foot decreased,the height increased,and the stiffness also increased.Conclusions An increase in plantar fascia stiffness can enhance the windlass mechanism to some extent,but it also leads to a reduction in metatarsophalangeal joint flexion.The stiffness of the plantar fascia affects the metatarsophalangeal joint flexion,thereby impacting the windlass mechanism and the distal tensile force of the plantar fascia.Together with the ground reaction force at the distal end of the metatarsals,these factors collectively influence the stiffness of the transverse arch of the foot.

Objective:To investigate the value of fibrinogen to albumin ratio (FAR), creatinine to albumin ratio (CAR) and platelet to lymphocyte ratio (PLR) in predicting the poor prognosis of hyperlipidemic acute pancreatitis (HLAP).Methods:Clinical data of HLAP patients admitted to the hospital from January 2021 to January and December 2023 were retrospectively collected. According to the prognosis, the patients were divided into two groups: good prognosis group and poor prognosis group.The independent risk factors of HLAP in different prognostic groups were obtained by multivariate Logistic regression analysis. Receiver operating characteristic (ROC) curves were plotted to evaluate the prognostic value of FAR, CAR and PLR alone and in combination.Results:A total of 118 patients with HLAP were included, including 69 patients with good prognosis and 49 patients with poor prognosis.The difference of heart rate, lymphocyte, triglyceride, albumin, creatinine, urea nitrogen, blood calcium, blood glucose, C-reactive protein, procalcitonin, fibrinogen, FAR, CAR, PLR, Bedside indicator of acute pancreatitis Severity score, Acute Physiology and Chronic Health status score, hospitalization time assessment between the two groups was statistically significant ( P<0.05). Multivariate Logistic regression analysis showed that FAR (odds ratio ( OR) = 25.949, 95% confidence interval (95% CI):3.190 ~ 211.080, P = 0.002), CAR ( OR = 1.453, 95% CI:1.095 ~ 1.928, P = 0.010) and PLR ( OR = 1.005, 95% CI: 1.001 ~ 1.009, P = 0.020) were independent risk factors for poor prognosis in HLAP patients. ROC curve analysis showed that the area under the ROC curve (AUC) of FAR, CAR and PLR to predict poor prognosis of HLAP patients were 0.823, 0.781 and 0.652, respectively.The AUC of FAR combined with CAR, FAR combined with PLR and CAR combined with PLR were 0.840, 0.845 and 0.849, respectively.The combined ability of FAR, CAR and PLR to predict poor prognosis in HLAP patients was (AUC=0.875,95% CI:0.814 ~ 0.937). When the cut-off value was 0.387, the sensitivity was 83.7%, and the specificity was 79.7%. Conclusions:The prognostic value of FAR, CAR and PLR in HLAP patients is better than that of single or pairwise combination.

Objective:To analyze the prognostic risk factors of patients with traumatic pancreatitis (TP) and establish an early combined prediction of multiple indicators model for TP.Methods:Patients admitted to the ICU of the First Affiliated Hospital of Zhengzhou University from June 2017 to June 2022 were collected retrospectively. Based on their prognosis, the patients were divided into two groups: the good prognosis group and the poor prognosis group. The general data such as sex, age, underlying diseases, Glasgow Coma Scale (GCS), acute physiology and chronic health evaluationⅡ (APACHEⅡ), injury severity score (ISS), bedside index for severity in acute pancreatitis (BISAP), and clinical test indices such as blood routine, blood coagulation, blood gas analysis, and liver and kidney function at admission were compared between the two groups. Univariate analysis and multivariate logistic regression analysis were used to screen the early independent predictors of poor prognosis of TP, and the prediction model of TP was established by combining all of the independent indicators. The receiver operating characteristic (ROC) curve of each independent predictor and prediction model was drawn, and the area under the curve (AUC), sensitivity, specificity, and optimal cut-off value were calculated to examine the diagnostic impact of each independent predictor and the combined prediction model.Results:There were statistically significant differences in the complication rate of mental disorders, GCS, APACHE II, combined craniocerebral injury, combined chest injury, activated partial thromboplastin time, fibrin(pro)degradation products, lactate, aspartate aminotransferase, glomerular filtration rate, amylase, lipase, NT-proBNP, myoglobin, procalcitonin, ISS, and BISAP between the good and poor prognosis groups (all P<0.05). Multivariate logistic regression analysis showed that lactate ( OR=1.636, 95% CI: 1.046-2.559), lipase ( OR=1.005, 95% CI: 1.001-1.008), and ISS ( OR=1.161, 95% CI: 1.064-1.266) were independent risk factors influencing the prognosis of patients with TP. Based on the risk factors listed above, a prediction model was created: Logit P=-9.260+0.492×lactate+0.005×lipase+0.149×ISS, and the ROC curve was plotted. The AUC curve of the prediction model was 0.96 (95% CI: 0.91-1.00). Conclusions:Lactate, lipase, and ISS are early independent risk factors associated with the prognosis of TP. Their combined multi-indicator prediction model has an excellent clinical prediction effect, which can provide a clinical reference for early prediction and treatment of TP.

OBJECTIVE: To investigate the predictive value of pancreatitis activity scoring system (PASS) combined with Neutrophil to lymphocyte ratio (NLR) and C-reactive protein (CRP) for infected pancreatic necrosis (IPN) in patients with severe acute pancreatitis (SAP). METHODS: Clinical data of SAP patients admitted to the First Affiliated Hospital of Zhengzhou University from January 2020 to January 2023 were retrospectively collected, including basic information, vital signs at admission, first laboratory indexes within 48 hours of admission. The PASS scores at admission and 24, 48 and 72 hours after admission were calculated. According to the diagnostic criteria of IPN, the patients were divided into the non-IPN group and the IPN group, and the independent risk factors of SAP complicating IPN were determined by using univariate analysis and multifactorial Logistic regression. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of NLR, CRP, and PASS score, alone and in combination for IPN in patients with SAP. RESULTS: A total of 149 SAP patients were enrolled, including 102 in the non-IPN group and 47 in the IPN group. The differences in PASS score at each time point, NLR, CRP, procalcitonin (PCT), blood urea nitrogen, blood chloride, and days of hospitalization between the two groups were statistically significant. Multifactorial Logistic regression analysis showed that 72 hours admission PASS score [odds ratio (OR) = 1.034, 95% confidence interval (95%CI) was 1.005-1.065, P = 0.022], NLR (OR = 1.284, 95%CI was 1.139-1.447, P = 0.000), and CRP (OR = 1.015, 95%CI was 1.006-1.023, P = 0.001) were independent risk factors for IPN in patients with SAP. ROC curve analysis showed that the area under the ROC curve (AUC) of the PASS score at 72 hours of admission, NLR, and CRP alone in predicting IPN in SAP patients were 0.828, 0.771, and 0.701, respectively. The AUC of NLR combined with CRP, PASS combined with NLR, and PASS combined with CRP were 0.818, 0.895, and 0.874, respectively. The combination of PASS score at 72 hours after admission, NLR, and CRP had a better predictive ability for IPN in patients with SAP (AUC = 0.922, 95%CI was 0.877-0.967), and the sensitivity was 72.3% when the cut-off value was 0.539. CONCLUSIONS The predictive value of the PASS score at 72 hours after admission, NLR and CRP in combination for IPN in SAP patients is better than that of the combination of each two and individual detection and has better test efficacy.
Humans ; Pancreatitis, Acute Necrotizing/diagnosis* ; C-Reactive Protein/metabolism* ; Acute Disease ; Neutrophils/metabolism* ; Retrospective Studies ; ROC Curve ; Lymphocytes ; Prognosis

Objective:To investigate the protective effect of overexpressed tripartite motif containing (TRIM27) on severe acute pancreatitis (SAP) in mice and its possible mechanism.Methods:Twenty-four mice were randomly divided into the sham operation + control virus group (AAV-GFP group), sham operation + overexpression of TRIM27 group (AAV-TRIM27 group), SAP + control virus group (SAP+AAV-GFP group), SAP + overexpression of TRIM27 group (SAP + AAV-TRIM27 group), with 6 mice in each group. SAP model of mice was established by intraperitoneal injection of L-arginine (4 mg/kg). The sham operation group was injected with equal volume of normal saline, and the virus group was injected with control or TRIM27 overexpression adeno-associated virus (2×10 11 μg/ per mice). The serum and pancreatic tissue samples were collected 72 h after modeling. The levels of serum amylase, lipase, tumor necrosis factor α (TNF-α), interleukin-1b (IL-1b), IL-6, macrophage chemoattractant protein-1 (MCP-1) and the expression of malondialdehyde (MDA), superoxide dismutase (SOD) and glutathione (GSH) in pancreatic tissue were detected by enzyme-linked immunosorbent assay. Hematoxylin eosin staining was used to observe the pathological damage of pancreatic tissue. The expressions of myeloperoxidase (MPO) and Ly6g positive inflammatory cells in mouse pancreas were observed by immunohistochemistry. The expression of p-p65, p65, p-ASK1, ASK1, p-JNK, JNK, p-p38 and p38 in pancreatic tissue were detected by Western blot. Results:The expression of TRIM27 in pancreatic of mice was significantly down regulated after SAP ( P<0.05); after overexpression of TRIM27 by adeno-associated virus, the expression of TRIM27 in mouse pancreas was significantly up-regulated ( P<0.05). There was no significant difference in the indexes of mice between the AAV-GFP group and AAV-TRIM27 group ( P>0.05). Compared with the SAP + AAV-GFP group, the levels of serum amylase, lipase, TNF-α, IL-1b, IL-6 and MCP-1 in mice of the SAP + AAV-TRIM27 group were significantly decreased, MDA in pancreatic tissue was decreased, SOD and GSH were increased, MPO and Ly6g inflammatory cells were significantly decreased, and p-p65, p-ASK1, p-JNK, and p-p38 protein expression were down regulated. Conclusions:Overexpression of TRIM27 alleviates SAP in mice by inhibiting inflammatory response and oxidative stress, and its mechanism may be through inhibiting NFκB/MAPK signaling pathway.

Objective:To explore the predictive value of combined detection of serum interleukin-6 (IL-6), chloride (Cl -), D-dimer and fibrin degradation products (FDP) for severity of acute pancreatitis (AP). Methods:From December 2020 to March 2022, 132 AP patients who met the criteria for inclusion were screened for retrospective analysis from 292 AP patients admitted in emergency surgery at the First Affiliated Hospital of Zhengzhou University and they were divided into severe acute pancreatitis (SAP) group and non-SAP group, with 63 in SAP group and 69 in non-SAP group, according to classification criteria. The data including lab results, abdominal doppler ultrasound and chest and abdominal CT, etc. The bedside index for severity in acute pancreatitis (BISAP) score was calculated. Multivariate Logistic regression analysis was carried out to find the risk factors for the severity of AP patients. The receiver operator characteristic curve (ROC) was drawn to judge the clinical predictive value of each factor.Results:A total of 132 AP patients were enrolled. The serum IL-6, D-dimer, FDP levels and the BISAP score in SAP group were significantly higher than those in non-SAP group [serum IL-6 (ng/L): 62.73 (21.54, 187.47) vs. 8.22 (4.13, 14.70), D-dimer (mg/L): 5.36 (2.94, 8.25) vs. 0.94 (0.42, 2.21), FDP (mg/L): 13.54 (6.76, 22.45) vs. 3.20 (2.50, 6.10), BISAP score: 2.00 (1.00, 3.00) vs. 1.00 (0, 2.00), all P < 0.05], while the serum Cl - level was significantly lower than that of non-SAP group (mmol/L: 97.90±4.86 vs. 101.73±4.32, P < 0.05). Multivariate Logistic regression analysis showed that increased levels of IL-6 [odds ratio ( OR) = 1.02, 95% confidence interval (95% CI) was 1.01-1.04], D-dimer ( OR = 1.21, 95% CI was 1.05-1.40) and decreased Cl - level ( OR = 0.88, 95% CI was 0.79-0.98) were risk factors for SAP (all P < 0.05). The ROC curve analysis showed that the area under the ROC curve (AUC) of IL-6, Cl -, D-dimer and FDP combined to predict the severity of AP patients was larger (0.89), and the sensitivity (82.50%) and specificity (85.50%) were higher. Conclusion:Compared with single index, the combined detection of serum IL-6, Cl -, D-dimer and FDP is more precise in determining the condition of AP.

Objective:To investigate the role of macrophage migration inhibitory factor (MIF) in severe acute pancreatitis (SAP) associated lung injury in mice.Methods:Totally 32 mice were randomly divided into 4 groups ( n=8/per group): wild type control group (WT+CON group), wild type SAP group (WT+SAP group), MIF gene knockout control group (KO+CON group), and MIF gene knockout SAP group (KO+SAP group). SAP model was established by intraperitoneal injection of L-arginine (4 mg/g). The expression of serum amylase, IL-6, TNF-α and MIF were detected by ELISA. The pathological changes of pancreatic and lung tissues were observed by HE staining. The expression of IL-6 and TNF-α in lung tissue was detected by immunohistochemistry. The expression of NF-κB in lung tissue was detected by Western blot. For measurement data, t test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups. Results:Compared with the WT+CON group, pathological score of pancreatic and lung injury, serum amylase, TNF-α and IL-6 expression in serum and lung tissues were significantly increased in the WT+SAP group ( P<0.05), while the above indexes were significantly decreased in the KO+SAP group ( P<0.05). In addition, the expression of NF-κB protein in KO+SAP group was significantly lower than that in the WT+SAP group ( P<0.05). Conclusions:MIF gene knockout can alleviate severe acute pancreatitis associated acute lung injury in mice, and its mechanism may be related to NF-κB.

Objective:To investigate the predictive value of dynamic platelet and hemagglutination-related parameters in patients with acute pancreatitis (AP).Methods:The patients admitted to the Department of Emergency Surgery in the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2020 were analyzed. According to the inclusion criteria and exclusion criteria, patients with AP were retrospectively enrolled. According to the Chinese Guidelines for the Diagnosis and Treatment of Acute Pancreatitis (Shenyang, 2019), the patients were divided into two groups: severe acute pancreatitis (SAP group) and non-severe acute pancreatitis (non-SAP group) [including mild acute pancreatitis (MAP) and moderate severe acute pancreatitis (MSAP)]. A normal distribution of the maximum and mean aggregation rates of dynamic platelets (arachiidonic acid), plateletcrit (PCT) and bedside index for severity in acute pancreatitis (BISAP) scores and other measurement data were tested by t test, while measurement data of prothrombin time (PT), fibrinogen (FIB) and D-dimer that did not conform to normal distribution were tested by Mann-Whitney U test. χ 2 test was used for the counting data such as sex, age and etiology of patients in the two groups. The prognostic value of statistically significant indicators for non-SAP group and SAP group was further analyzed by receiver operating characteristic (ROC) curve. Results:A total of 146 patients with AP were enrolled, including 50 patients in SAP group and 96 in non-SAP group. The maximum and average aggregation rates of dynamic platelet (aracidonic acid) in the SAP group were (71.76±17.62) % and (67.91±18.10) %, PT (12.02±1.33) s, FIB (4.76±2.08) g/L, D-dimer (3.75±6.04) μg/L, PCT (0.23±0.08) %, and BISAP scores (1.42±1.18), which were all significantly higher than those in the non-SAP group [the maximum and average aggregation rates of dynamic platelet (arachiidonic acid) (46.65±20.11) % and (42.50±20.71) %, PT (11.50±1.51) s and FIB (3.91±1.48) g/L, D-dimer (1.00±1.37) μg/L, PCT (0.19±0.06) %, BISAP scores (0.45±0.66)] (all P<0.05). According to area under the ROC curve, the maximum and average aggregation rates of dynamic platelets (arachiidonic acid) in serum of patients with SAP were 0.83 and 0.82, respectively, and the sensitivities were 0.56 and 0.68, respectively. The specificity was 0.99 and 0.81, respectively, which was better than PT, FIB, D-dimer, PCT and BISAP scores in predicting the severity of AP. Conclusions:The maximum and average aggregation rates of dynamic platelets (arachidonic acid), PT, FIB, D-dimer, PCT and BISAP scores can be used as predictors of the severity of acute pancreatitis. The maximum and average aggregation rates of dynamic platelets (arachiidonic acid) were the best in predicting the severity of AP.