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1.
Syst Rev ; 13(1): 202, 2024 Jul 30.
Artigo em Inglês | MEDLINE | ID: mdl-39080805

RESUMO

BACKGROUND: External cephalic version (ECV) is a medical procedure in which an extracorporeal manipulation is performed to render the breech presentation (BP) fetus in the cephalic position. The use of anesthesia to facilitate repositioning has been evaluated in various randomized clinical trials (RCTs), but its potential effectiveness remains controversial. METHODS: A systematic literature search was carried out in 8 electronic databases. In the meta-analysis, a random effects model was used to calculate the pooled relative risk (RR) and its 95% confidence interval (CI), and the pooled standardized mean difference (SMD) and its 95% CI, in order to systematically assess the effect of anesthesia on the success rates of ECV, vaginal delivery, cesarean delivery as well as other outcomes. Relevant subgroup analyses, publication bias test and sensitivity analyses were also conducted. RESULTS: This review included 17 RCTs. Women who received anesthesia had a significantly higher incidence of successful ECV (RR: 1.37, 95% CIs: 1.19-1.58) and vaginal delivery (RR: 1.23, 95% CIs: 1.03-1.47), and a significantly lower incidence of cesarean delivery (RR: 0.69, 95% CIs: 0.53-0.91), compared with those who did not. CONCLUSION: The administration of anesthesia not only significantly reduces maternal pain but also significantly increases the success rate of ECV in women with malpresentation at term, leading to a significant rise in the incidence of vaginal delivery. However, it may increase the incidence of maternal hypotension. SYSTEMATIC REVIEW REGISTRATION: The protocol was prospectively registered with PROSPERO, registration CRD42022381552.


Assuntos
Apresentação Pélvica , Cesárea , Versão Fetal , Feminino , Humanos , Gravidez , Anestesia Obstétrica/métodos , Apresentação Pélvica/terapia , Parto Obstétrico/métodos , Ensaios Clínicos Controlados Aleatórios como Assunto , Versão Fetal/métodos
2.
Food Res Int ; 188: 114454, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38823832

RESUMO

The Amadori rearrangement products are an important flavor precursor in the Maillard reaction. Its thermal decomposition products usually contribute good flavors in foods. Therefore, investigating the thermal breakdown of Amadori products is significant for understanding the flavor forming mechanism in the Maillard reaction. In this study, volatiles from thermal decomposition of Amadori products in cysteine and glucose Maillard reaction was investigated by a thermal desorption cryo-trapping system combined with gas chromatography-mass spectrometry (GC-MS). A total of 60 volatiles were detected and identified. Meanwhile, the forming mechanism of 2-methylthiophene, a major decomposition product, was also investigated by using density functional theory. Seventeen reactions, 12 transition states, energy barrier and rate constant of each reaction were finally obtained. Results reveal that it is more likely for Amadori products of cysteine and glucose to undergo decomposition under neutral or weakly alkaline conditions.


Assuntos
Cisteína , Cromatografia Gasosa-Espectrometria de Massas , Glucose , Reação de Maillard , Compostos Orgânicos Voláteis , Cisteína/química , Glucose/química , Compostos Orgânicos Voláteis/química , Compostos Orgânicos Voláteis/análise , Teoria da Densidade Funcional , Temperatura Alta
3.
J Thorac Dis ; 16(4): 2314-2325, 2024 Apr 30.
Artigo em Inglês | MEDLINE | ID: mdl-38738230

RESUMO

Background: Gastrointestinal bleeding (GIB) is a notable complication in patients diagnosed with aortic dissection (AD). We evaluated the outcomes and identified the risk factors associated with GIB in patients with AD. Methods: A retrospective case-control study was conducted on patients diagnosed with type A aortic dissection (TAAD) who underwent total aortic arch replacement (TAAR) at our institution from July 2021 to July 2023. Comprehensive clinical data, laboratory findings, and imaging results were meticulously gathered and analyzed to identify potential risk factors linked to GIB in this patient cohort. Results: Of the 198 AD patients who underwent TAAR, 38 (19.2%) developed postoperative GIB (GIB group), with a median interval of 7 days between surgery and bleeding onset. The GIB group exhibited significantly higher mortality (26.3% vs. 3.1%, P<0.001), prolonged intensive care unit (ICU) stay {15 [interquartile range (IQR), 8-25] vs. 7 (IQR, 5-12) days, P<0.001}, and extended duration of ventilation [168 (IQR, 120-372) vs. 71 (IQR, 34-148) hours, P<0.001] compared to the control group (n=160, 80.8%). Logistic regression analysis identified age >54 years [odds ratio (OR): 3.529], intraoperative red blood cell (RBC) transfusion >600 mL (OR: 3.865), and concomitant celiac trunk and superior mesenteric artery (SMA) hypoperfusion (OR: 15.974) as independent risk factors for GIB in AD patients. Conclusions: GIB subsequent to TAAR in AD patients is linked to adverse prognosis. Factors such as advanced age, extensive intraoperative transfusion, and gastrointestinal (GI) perfusion abnormalities may heighten the risk of GIB in this patient population.

4.
BMC Cardiovasc Disord ; 24(1): 56, 2024 Jan 18.
Artigo em Inglês | MEDLINE | ID: mdl-38238677

RESUMO

BACKGROUND: Previous models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine learning-based prediction model for postoperative delirium (POD) in cardiac valve surgery patients. METHODS: The electronic medical information of the cardiac surgical intensive care unit (CSICU) was extracted from a tertiary and major referral hospital in southern China over 1 year, from June 2019 to June 2020. A total of 507 patients admitted to the CSICU after cardiac valve surgery were included in this study. Seven classical machine learning algorithms (Random Forest Classifier, Logistic Regression, Support Vector Machine Classifier, K-nearest Neighbors Classifier, Gaussian Naive Bayes, Gradient Boosting Decision Tree, and Perceptron.) were used to develop delirium prediction models under full (q = 31) and selected (q = 19) feature sets, respectively. RESULT: The Random Forest classifier performs exceptionally well in both feature datasets, with an Area Under the Curve (AUC) of 0.92 for the full feature dataset and an AUC of 0.86 for the selected feature dataset. Additionally, it achieves a relatively lower Expected Calibration Error (ECE) and the highest Average Precision (AP), with an AP of 0.80 for the full feature dataset and an AP of 0.73 for the selected feature dataset. To further evaluate the best-performing Random Forest classifier, SHAP (Shapley Additive Explanations) was used, and the importance matrix plot, scatter plots, and summary plots were generated. CONCLUSIONS: We established machine learning-based prediction models to predict POD in patients undergoing cardiac valve surgery. The random forest model has the best predictive performance in prediction and can help improve the prognosis of patients with POD.


Assuntos
Procedimentos Cirúrgicos Cardíacos , Delírio do Despertar , Humanos , Registros Eletrônicos de Saúde , Teorema de Bayes , Procedimentos Cirúrgicos Cardíacos/efeitos adversos , Valvas Cardíacas , Aprendizado de Máquina
5.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-821153

RESUMO

@#Objective    To explore the correlation between perioperative blood transfusion and acute kidney injury (AKI) after heart transplantation. Methods    A retrospective study was performed on 67 patients who underwent heart transplantation in the Department of Cardiac Surgery, Guangdong Provincial People's Hospital from January 2016 to December 2018, and finally 63 patients were included according to the exclusion criteria. There were 53 males and 10 females with an average age of 44.3±12.9 years. Twenty patients who adopted continuous renal replacement therapy (CRRT) after heart transplantation were divided into a RT group and the other 43 patients who did not use CRRT were divided into a non-RT group. Baseline characteristics, perioperative blood transfusion data and clinical prognosis were compared between the two groups. Results    The preoperative baseline characteristics of the two groups were basically the same. There were significant differences in perioperative infusion of red blood cells and plasma, postoperative 24 h bleeding and re-exploration (P<0.05) between the two groups. The area under the receiver operating characteristic (ROC) curve was 0.923 (95%CI 0.852 to 0.995, P<0.001). The ROC curve showed that perioperative infusion of red blood cells more than 18 mL/kg would increase the incidence of AKI after heart transplantation. Conclusion    Perioperative blood transfusion is closely related to AKI after heart transplantation. The more blood transfusion is in clinics, the higher incidence of renal injury is and the worse prognosis is. It is suggested that various blood-saving measures can be carried out.

6.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-742575

RESUMO

@#Objective    To investigate the incidence, pathogens, risk factors and clinical outcomes for ventilator-associated pneumonia (VAP) in children after tetralogy of Fallot (TOF) surgical correction, in order to offer reliable data for the prevention of VAP. Methods    This was a retrospective study performed in Guangdong General Hospital and 181 children (121 males, 60 females, mean age of 11.2±10.4 months) undergoing surgical correction for TOF were included. ALL the children who received mechanical ventilation for 48 hours or longer between January 2013 and December 2017 were classified into a VAP group (n=44) and a non-VAP group (n=137). T test, χ2 test and multiple logistic regression analysis were used to identify the possible risk factors for VAP. Results    This study enrolled 181 patients , of which 44 were diagnosed as VAP. And the incidence of VAP was 24.3%. The most frequent isolated pathogen was Gram-negative bacteria (69.7%). Single factor analysis showed that the variables significantly associated with a risk factor of VAP were: hypoxic spells, preoperative pneumonia, preoperative mechanical ventilation support, cardiopulmonary bypass (CPB) time, reintubation, pulmonary atelectasis, low cardiac output syndrome (LCOS), intra-abdominal drainage and transfusion of fresh frozen plasma. The multiple logistic regression showed CPB time (OR=1.011), reintubation (OR=14.548), pulmonary atelectasis (OR=6.139) and LCOS (OR=3.054) were independent risk factors for VAP in children after TOF surgical correction. Patients with VAP had prolonged duration of mechanical ventilation, a longer ICU stay and longer hospitalization time. Conclusions    The VAP rate in this population is higher than that reported abroad, which   leads to prolonged duration of mechanical ventilation and a longer hospital stay. The effective measures for prevention of VAP should be taken according to the related risk factors for VAP to decrease the incidence of VAP in children after TOF surgical correction.

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