The Value of Bedside Ultrasound Evaluation of Intravenous Ultrasound Grading System Combined with TyG Index in Predicting Acute Renal Injury in Patients with Acute Hyperlipidemic Pancreatitis.

Aims/Background Bedside ultrasound evaluation of venous excess ultrasound (VExUS) combined with the triglyceride-glucose (TyG) index plays an important role in predicting acute kidney injury (AKI) in patients with acute hyperlipidemic pancreatitis. VExUS can effectively evaluate the degree of venous congestion, while the TyG index is valuable in predicting severe pancreatitis. The combination of these two methods is expected to provide a more accurate AKI risk assessment tool for clinical practice. This study explores the value of combining bedside ultrasound evaluation using the VExUS grading system with the TyG index in predicting acute renal damage in patients with acute hyperlipidemic pancreatitis. Methods From January 2021 to December 2023, 110 patients with acute hyperlipidemic pancreatitis were selected. The patients were divided into two groups based on whether they were complicated with acute kidney injury (AKI): the AKI group (n = 23) and the non-AKI group (n = 87). The general data of the two groups were compared, and the risk factors for AKI in patients with acute hyperlipidemic pancreatitis were analyzed using multivariate logistic regression. The predictive value was assessed using receiver operating characteristic curve (ROC) analysis. Results There were no statistically significant differences in age, gender, outcome, triglyceride (TG), total cholesterol, low-density lipoprotein (LDL) levels at admission, blood nutrition at discharge, creatinine (CREA) at discharge, underlying diseases, start time of enteral nutrition, complications, length of stay, Intensive Care Unit (ICU) days, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, blood glucose level, blood amylase level, CREA, blood urine nitrogen (BUN), blood purification treatment (p > 0.05). However, there were significant differences (p < 0.05) between the TyG index and the VExUS score, with variables including the TyG index and the VExUS score (included in the logistic regression analysis as variables), and AKI (AKI = 1, non-AKI = 0) as dependent variables. Multiple logistic regression results showed that the TyG index and VExUS score were independent predictors of AKI in patients with acute hyperlipidemia pancreatitis (p < 0.05). The standard error, sensitivity and specificity of the TyG index, VExUS score and combined model for predicting AKI in these patients were 0.064, 73.91 and 87.45; 0.036, 78.16 and 95.65; 0.010, 100.00 and 95.65, respectively (p < 0.05). Conclusion The VExUS score combined with the TyG index is highly valuable in predicting AKI in patients with acute hyperlipidemic pancreatitis.

Computerized tomography-guided therapeutic percutaneous puncture catheter drainage-combined with somatostatin for severe acute pancreatitis: An analysis of efficacy and safety.

BACKGROUND: Severe acute pancreatitis (SAP), a condition with rapid onset, critical condition and unsatisfactory prognosis, poses a certain threat to human health, warranting optimization of relevant treatment plans to improve treatment efficacy. AIM: To evaluate the efficacy and safety of computerized tomography-guided therapeutic percutaneous puncture catheter drainage (CT-TPPCD) combined with somatostatin (SS) in the treatment of SAP. METHODS: Forty-two SAP patients admitted to The Second Affiliated Hospital of Fujian Medical University from June 2020 to June 2023 were selected. On the basis of routine treatment, 20 patients received SS therapy (control group) and 22 patients were given CT-TPPCD plus SS intervention (research group). The efficacy, safety (pancreatic fistula, intra-abdominal hemorrhage, sepsis, and organ dysfunction syndrome), abdominal bloating and pain relief time, bowel recovery time, hospital stay, inflammatory indicators (C-reactive protein, interleukin-6, and procalcitonin), and Acute Physiology and Chronic Health Evaluation (APACHE) II score of both groups were evaluated for comparison. RESULTS: Compared with the control group, the research group had a markedly higher total effective rate, faster abdominal bloating and pain relief and bowel recovery, shorter hospital length of stay, fewer complications, and lower posttreatment inflammatory indices and APACHE-II scores. CONCLUSION: CT-TPPCD in combination with SS is effective for SAP patients, which can reduce complications, accelerate symptom resolution, inhibit inflammation, and improve patient condition, with promising prospects for clinical promotion.

Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection.

The study aimed to explore the diagnostic value of computed tomography (CT) images based on cavity convolution U-Net algorithm for patients with severe pulmonary infection. A new lung CT image segmentation algorithm (U-Net+ deep convolution (DC)) was proposed based on U-Net network and compared with convolutional neural network (CNN) algorithm. Then, it was applied to CT image diagnosis of 100 patients with severe lung infection in The Second Affiliated Hospital of Fujian Medical University hospital and compared with traditional methods, and its sensitivity, specificity, and accuracy were compared. It was found that the single training time and loss of U-Net + DC algorithm were reduced by 59.4% and 9.8%, respectively, compared with CNN algorithm, while Dice increased by 3.6%. The lung contour segmented by the proposed model was smooth, which was the closest to the gold standard. Fungal infection, bacterial infection, viral infection, tuberculosis infection, and mixed infection accounted for 28%, 18%, 7%, 7%, and 40%, respectively. 36%, 38%, 26%, 17%, and 20% of the patients had ground-glass shadow, solid shadow, nodule or mass shadow, reticular or linear shadow, and hollow shadow in CT, respectively. The incidence of various CT characteristics in patients with fungal and bacterial infections was statistically significant (P < 0.05). The specificity (94.32%) and accuracy (97.22%) of CT image diagnosis based on U-Net + DC algorithm were significantly higher than traditional diagnostic method (75.74% and 74.23%), and the differences were statistically significant (P < 0.05). The network of the algorithm in this study demonstrated excellent image segmentation effect. The CT image based on the U-Net + DC algorithm can be used for the diagnosis of patients with severe pulmonary infection, with high diagnostic value.

[Children with parainfluenza pneumonia complicated with rhabdomyolysis syndrome and acute kidney injury: a case report and literature review].

OBJECTIVE: To investigate the diagnosis and treatment of children with parainfluenza pneumonia complicated with rhabdomyolysis syndrome and acute kidney injury (AKI). METHODS: The clinical manifestations, laboratory and imaging examination results and diagnosis and treatment process of a child with parainfluenza pneumonia complicated with rhabdomyolysis syndrome and AKI admitted to the department of intensive medicine of the Second Affiliated Hospital of Fujian Medical University on July 14th, 2014 were retrospectively analyzed to provide experience and methods for the treatment of such patients. RESULTS: The patient, a Chinese 11-year-old boy, admitted to hospital with "sore throat, fever, and double lower limb pain for 2 days". The clinical manifestations were sore throat, fever, pain in both lower extremities, fatigue, and soy sauce urine. Limb muscle tenderness, bilateral lower limb was obvious. Laboratory examination showed that blood creatine kinase (CK), MB isoenzyme of creatine kinase (CK-MB), aspartate transaminase (AST), lactate dehydrogenase (LDH), α-hydroxybutyrate dehydrogenase (HBDH) and hematuria myoglobin (Mb) were significantly elevated, and blood parainfluenza viruses (1, 2, 3 types) was positive for immunoglobulin M (IgM) antibodies. Chest X-ray shown bronchial pneumonia in the right lower lung. Pneumonia with rhabdomyolysis syndrome was considered. Anti-infection, fluid hydration, alkalized urine, diuresis and other treatment was initially prescribed. However, the condition became worse, combined with secondary epilepsy, AKI, acute heart failure, transferred to the intensive care unit (ICU). The child was put on mechanical ventilation through oral tracheal intubation, continuous hemofiltration, anti-infection and anti-virus treatment. The child's condition gradually recovered, symptoms and signs disappeared, and finally he was discharged with full recovery. CONCLUSIONS: Children with parainfluenza pneumonia can induce rhabdomyolysis. If myalgia is progressively worsened and walking is difficult, we should be highly alert to the occurrence of rhabdomyolysis. And when soy sauce urine, hematuria were noticed, and blood CK, Mb increased significantly, rhabdomyolysis syndrome can be diagnosed. Once the diagnosis is established, rehydration, alkaline urine and diuresis should be carried out in a timely manner to increase myoglobin tubular excretion. Antiviral treatment can reduce the dissolution of striated muscles. If blood purification is needed, hemofiltration and/or plasma exchange can be selected.

Three-Dimensional Printing of Continuous Flax Fiber-Reinforced Thermoplastic Composites by Five-Axis Machine.

A method for printing continuous flax fiber-reinforced plastic (CFFRP) composite parts by five-axis three-dimensional (3D) printer, based on fused filament fabrication (FFF) technology, has been developed. FFF printed parts usually need supporting structures, have a stair step effect, and unfavorable mechanical properties. In order to address these deficiencies, continuous natural fiber prepreg filaments were first manufactured, followed by curved path planning for the model for generation of the G-code, and finally printed by a five-axis 3D printer. The surface quality of printed parts was greatly improved. The tensile strength and modulus of CFFRP increased by 89% and 73%, respectively, compared with polylactic acid (PLA) filaments. The flexural strength and modulus of the 3D-printed CFFRP specimens increased by 211% and 224%, respectively, compared with PLA specimens. The maximal curved bending force load and stiffness of the 3D-printed CFFRP specimens increased by 39% and 115%, respectively, compared with the flat slicing method. Advanced light structures, such as leaf springs, can be designed and manufactured by taking advantage of the favorable properties of these composites, which endow them with significant potential for application in the field of automobiles.