Objective To compare the short- to mid-term outcomes of aortic valve plasty (AVP) and Ross surgery in children with severe aortic valve disease. Methods The patients (aged<18 years) with severe aortic valve disease who underwent AVP (an AVP group) or Ross surgery (a Ross group) at the Department of Cardiovascular Surgery, West China Hospital from January 2019 to September 2023 were retrospectively included. We compared perioperative and follow-up data between the groups. Results A total of 48 pediatric patients were included, including 28 males and 20 females, with an average age of (9.3±4.5) years. There were 25 patients in the AVP group, and 23 in the Ross group. Leaflet thinning (15/25, 60.0%) and leaflet extension (10/25, 40.0%) were the most common strategies used in the AVP group, while root replacement technique (12/23, 52.2%) and subcoronary technique (10/23, 43.5%) were the most frequently used strategies in the Ross group. There was no in-hospital death. The median follow-up time was 16.0 (7.0, 30.0) months. Peak flow velocity of the aortic valve was higher in the AVP group [2.0 (1.4, 2.9) m/s vs. 1.2 (1.0, 1.5) m/s, P<0.001], while there was no statistical difference in the postoperative aortic valve regurgitation severity between the two groups (P=0.127). During follow-up, the overall reoperation rate and aortic valve reoperation rate were similar between the AVP group and the Ross group (8.0% vs. 13.0%, P=0.922; 8.0% vs. 0.0%, P=0.266). The rate of recurrent aortic valve disease was higher in the AVP group (52.0% vs. 4.3%, P<0.001), while further analysis failed to recognize any risk factors. Conclusion AVP and Ross procedure show similar perioperative safety, survival and reoperation rate. The rate of recurrent aortic valve disease is higher in the AVP group, but further investigations are needed to confirm the causes.
ObjectiveThis study aimed to construct a Nomogram predictive model to assess the prognosis of patients with viral pneumonia complicated by diabetes mellitus.MethodsWe retrospectively collected data from patients with viral pneumonia who visited our hospital from January 2023 to February 2024 and divided them into diabetes and non-diabetes groups based on the presence of diabetes. Clinical data were collected and intergroup differences were analyzed. Subsequently, factors with statistical significance (P<0.05) were selected for univariate and multivariate Logistic regression analysis in the diabetes group to identify risk factors affecting patient survival. Based on the regression analysis results, a linear model was constructed to predict the survival risk of patients. Additionally, calibration curves and decision curve analysis (DCA) were plotted to assess the predictive accuracy and clinical net benefit of the model.ResultsThe study found significant intergroup differences in age (age), cough, dyspnea, respiratory rate at admission, heart rate, body temperature, and laboratory test results (including blood glucose Glu, glycated hemoglobin HbA1c, neutrophil ratio Neu, C-reactive protein Crp, etc.). Multivariate Logistic regression analysis confirmed that age (age), B-type natriuretic peptide (Bnp), neutrophil ratio (Neu), and lactate (Lac) are independent risk factors affecting the survival of patients with viral pneumonia and diabetes.The constructed nomogram prediction model was evaluated. The calibration curve demonstrated a high degree of consistency between the predicted probabilities and actual outcomes, with a non-significant Hosmer-Lemeshow test result (P>0.05). Decision curve analysis further showed that the model yielded no significant clinical net benefit at extreme probability thresholds, whereas it provided substantial clinical net benefit across all other threshold ranges. Collectively, these findings indicate that the model exhibits high predictive accuracy and holds significant value for clinical application. ConclusionsAge, serum B-type natriuretic peptide, neutrophil ratio, and lactate are independent risk factors for the survival of patients with viral pneumonia complicated by diabetes. The Nomogram predictive model constructed based on these factors has clinical value for prognosis assessment.
Objective To investigate the predictive value of mechanical power (MP) in the weaning outcome of adaptive mechanical ventilation plus intelligent trigger (AMV+IntelliCycle, simply called AMV) mode for acute respiratory distress syndrome (ARDS) patients. Methods From November 2019 to March 2021, patients with mild to moderate ARDS who were treated with invasive mechanical ventilation in the intensive care unit of the First Affiliated Hospital of Jinzhou Medical University were divided into successful weaning group and failed weaning group according to the outcome of weaning. All patients were treated with AMV mode during the trial. The MP, oral closure pressure (P0.1), respiratory rate (RR) and tidal volume (VT) of the two groups were compared 30 min and 2 h after spontaneous breathing trial (SBT). The correlation between 30 min and 2 h MP and shallow rapid respiratory index (RSBI) was analyzed by Pearson correlation. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of 30 min MP in ARDS patients with AMV mode weaning failure. Results Sixty-eight patients were included in the study, 49 of them were successfully removed and 19 of them failed. There was no statistical significance in age, gender, body mass index, oxygenation index, acute physiology and chronic health evaluation Ⅱ score, reasons for mechanical ventilation (respiratory failure, sepsis, intracranial lesions, and others) between the two groups (all P>0.05). The MP, P0.1 and RR at SBT 30 min and 2 h of the successful weaning group was lower than those of the failed weaning group (all P<0.05), but the VT of the successful weaning group was higher than the failed weaning group (all P<0.05). There was a significant relation between the MP at SBT 30 min and 2 h and RSBI (r value was 0.640 and 0.702 respectively, both P<0.05). The area under ROC curve of MP was 0.674, 95% confidence interval was 0.531 - 0.817, P value was 0.027, sensitivity was 71.73%, specificity was 91.49%, positive predictive value was 0.789, negative predictive value was 0.878, optimal cutoff value was 16.500. The results showed that 30 min MP had a good predictive value for the failure of weaning in AMV mode in ARDS patients. Conclusion MP can be used as an accurate index to predict the outcome of weaning in ARDS patients with AMV mode.
Objective To design and construct a graphene oxide (GO)/silver nitrate (Ag3PO4)/chitosan (CS) composite coating for rapidly killing bacteria and preventing postoperative infection in implant surgery. Methods GO/Ag3PO4 composites were prepared by ion exchange method, and CS and GO/Ag3PO4 composites were deposited on medical titanium (Ti) sheets successively. The morphology, physical image, photothermal and photocatalytic ability, antibacterial ability, and adhesion to the matrix of the materials were characterized. Results The GO/Ag3PO4 composites were successfully prepared by ion exchange method and the heterogeneous structure of GO/Ag3PO4 was proved by morphology phase test. The heterogeneous structure formed by Ag3PO4 and GO reduced the band gap from 1.79 eV to 1.39 eV which could be excited by 808 nm near-infrared light. The photothermal and photocatalytic experiments proved that the GO/Ag3PO4/CS coating had excellent photothermal and photodynamic properties. In vitro antibacterial experiments showed that the antibacterial rate of the GO/Ag3PO4/CS composite coating against Staphylococcus aureus reached 99.81% after 20 minutes irradiation with 808 nm near-infrared light. At the same time, the composite coating had excellent light stability, which could provide stable and sustained antibacterial effect. ConclusionGO/Ag3PO4/CS coating can be excited by 808 nm near infrared light to produce reactive oxygen species, which has excellent antibacterial activity under light.