Objective:To systematically review and evaluate prediction models for aspiration risk in enteral nutrition patients, providing a reference for the development and application of future models.Methods:Literature related to prediction models for aspiration risk in enteral nutrition patients was searched in China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, Web of Science, Cochrane Library, Embase, and PubMed, with the search period covering from the inception of the databases to August 30, 2024. Two researchers independently conducted literature screening and data extraction, and the PROBAST tool was used to assess the risk of bias and applicability of the included studies.Results:A total of 18 studies were included, involving 24 prediction models, with sample sizes ranging from 103 to 512 and an event rate of 9.46% to 49.87%. The top six predictive variables reported most frequently were baseline age, history of aspiration, length of nasogastric tube insertion, nutritional risk, impaired consciousness, and Acute Physiology and Chronic Health Evaluation-Ⅱscore. The area under the receiver operating characteristic curve of the models ranged from 0.756 to 0.992. Twelve studies reported model calibration, six studies conducted internal validation only, one study conducted external validation only, and four studies performed both internal and external validation. The overall applicability of the 18 studies was good, but the risk of bias was high, mainly due to improper handling of continuous variables and missing data.Conclusions:The aspiration risk prediction models developed in various studies for enteral nutrition patients show good applicability but carry a high risk of bias. Future efforts should focus on further optimizing the model construction process, internal and external validation, and result analysis to provide more reliable and scientific tools for clinical aspiration risk assessment.

From August 2019 to July 2024, the Institute of Chest Wall Surgery at the Affiliated Guangdong Second Provincial General Hospital of Jinan University admitted multiple patients with severe thoracic deformities. Authors summarized the characteristics and treatment measures of three cases with typical acute-angled thoracic deformities. Three patients aged from 15 to 21 year-old were suffered from severe pectus excavatum, pectus carinatum, and complex thoracic deformities, respectively. Visually, the local bones were severely distorted, and CT scans showed that the local bones formed acute-angled intersections. Three patients underwent Wung surgery, Wenlin surgery, and Wang+ Wenlin surgery. During the operation, based on pre-shaping, the principle of template shaping was applied to implement correction, and the process was uneventful. All deformities were satisfactorily corrected. There were no postoperative complications such as bleeding, pneumothorax, or poor wound healing during 8 months to 4 years of follow-up. Acute angle deformity is a special type of thoracic deformity, and its occurrence often indicates that the local deformity is severe and complex. Therefore, in treatment, surgeons are required to first understand the basic principle of thoracic deformity correction, have a strong comprehension of the overall deformity, and be skillful and experienced in applying various thoracic deformity correction techniques.

Objective To investigate the efficacy of voriconazole in the treatment of pulmonary tuberculosis complicated with chronic pulmonary aspergillosis(CPA)based on CYP2C19 gene polymorphism detection and examine the factors affecting the efficacy for improving targeted therapy in clinical practice.Methods A total of 207 patients with pulmonary tuberculosis complicated with CPA treated in the Third People's Hospital of Kunming from December 2018 to November 2022 were randomly assigned to an observation group(105 cases)or a control group(102 cases).The patients in the control group received standard voriconazole treatment,while the patients in the observation group had their voriconazole regimen tailored based on CYP2C19 genotyping results.Plasma drug concentration levels,efficacy,and safety were compared between the two groups and in terms of CYP2C19 genotypes.Logistic regression analysis was used to identify the factors affecting treatment efficacy.Results The observation group showed significantly higher plasma voriconazole concentrations and overall antifungal efficacy compared to the control group(P＜0.05).In the observation group,CYP2C19 genotyping identified 37 extensive metabolizers(EM),47 intermediate metabolizers(IM),and 21 poor metabolizers(PM).Plasma concentration of voriconazole did not show significant difference between EM and IM(P＞0.05),but both PM and IM were associated with significantly lower plasma concentration of voriconazole than PM(P＜0.05).The clinical efficacy rate was 100％for PM,91.5％for IM,and 83.8％for EM(P＜0.05).The incidence of adverse events did not show significant difference among the three genotypes(P＞0.05).Logistic regression analysis revealed that lung cavitation,hypoalbuminemia,and agranulosis were significantly correlated with therapeutic efficacy(P＜0.05).Conclusions CYP2C19 gene polymorphism detection is valuable in clinical practice.It can inform anti-aspergillus therapy with voriconazole to effectively improve symptoms and clinical efficacy in patients with pulmonary tuberculosis complicated with CPA.Meanwhile,clinicians should be aware of the factors such as hypoproteinemia,agranulocytosis,and lung cavitation that may affect the efficacy of voriconazole.

Objective To investigate the efficacy of voriconazole in the treatment of pulmonary tuberculosis complicated with chronic pulmonary aspergillosis(CPA)based on CYP2C19 gene polymorphism detection and examine the factors affecting the efficacy for improving targeted therapy in clinical practice.Methods A total of 207 patients with pulmonary tuberculosis complicated with CPA treated in the Third People's Hospital of Kunming from December 2018 to November 2022 were randomly assigned to an observation group(105 cases)or a control group(102 cases).The patients in the control group received standard voriconazole treatment,while the patients in the observation group had their voriconazole regimen tailored based on CYP2C19 genotyping results.Plasma drug concentration levels,efficacy,and safety were compared between the two groups and in terms of CYP2C19 genotypes.Logistic regression analysis was used to identify the factors affecting treatment efficacy.Results The observation group showed significantly higher plasma voriconazole concentrations and overall antifungal efficacy compared to the control group(P＜0.05).In the observation group,CYP2C19 genotyping identified 37 extensive metabolizers(EM),47 intermediate metabolizers(IM),and 21 poor metabolizers(PM).Plasma concentration of voriconazole did not show significant difference between EM and IM(P＞0.05),but both PM and IM were associated with significantly lower plasma concentration of voriconazole than PM(P＜0.05).The clinical efficacy rate was 100％for PM,91.5％for IM,and 83.8％for EM(P＜0.05).The incidence of adverse events did not show significant difference among the three genotypes(P＞0.05).Logistic regression analysis revealed that lung cavitation,hypoalbuminemia,and agranulosis were significantly correlated with therapeutic efficacy(P＜0.05).Conclusions CYP2C19 gene polymorphism detection is valuable in clinical practice.It can inform anti-aspergillus therapy with voriconazole to effectively improve symptoms and clinical efficacy in patients with pulmonary tuberculosis complicated with CPA.Meanwhile,clinicians should be aware of the factors such as hypoproteinemia,agranulocytosis,and lung cavitation that may affect the efficacy of voriconazole.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective To develop a nomogram-based predictive model for assessing the risk of respiratory distress syndrome(RDS)in premature infants in the high-altitude region of Dali.The predictive performance and clinical applicability of the model will be systematically evaluated to provide evidence-based guidance for the early diagnosis and clinical management of respiratory distress in premature infants.Methods A total of 680 preterm infants admitted to the Dali Maternal and Child Health Hospital between January 2020 and December 2024 were enrolled in the study and randomly divided into a training set(n=476)and a validation set(n=204)at a ratio of 7∶3.Independent predictors were identified through univariate logistic regression and multivariate stepwise regression analyses,and a nomogram model was subsequently developed using R software.The performance of the model,including its discrimination,calibration,stability,and clinical applicability,was evaluated using the receiver operating characteristic curve(ROC),Hosmer-Lemeshow goodness-of-fit test,bootstrap resampling method,and decision curve analysis(DCA).Results The final model incorporated seven independent variables:gestational age,birth weight,Apgar score,blood oxygen saturation,gestational hyperglycemia,prenatal glucocor-ticoid therapy,and maternal history of infection.The areas under the curve(AUCs)for the training and validation sets were 0.88(95%CI:0.84～0.92)and 0.83(95%CI:0.76～0.89),respectively,with all Hosmer-Lemeshow test p-values exceeding 0.05.The bootstrap-corrected AUC was 0.85(95%CI:0.81～0.89).DCA indicated that the model achieved the highest net benefit at a risk threshold range of 10%to 35%.Conclusions This model integrates multiple risk factors associated with the occurrence of RDS in plateau environments,demonstrating robust predictive performance for RDS in preterm infants residing in high-altitude areas such as Dali.It can serve as a valuable tool for risk stratification and clinical decision-making,and may also provide a reference for future multicenter prospective studies.

Objective:To systematically review and evaluate prediction models for aspiration risk in enteral nutrition patients, providing a reference for the development and application of future models.Methods:Literature related to prediction models for aspiration risk in enteral nutrition patients was searched in China National Knowledge Infrastructure, Wanfang Data, China Biology Medicine disc, Web of Science, Cochrane Library, Embase, and PubMed, with the search period covering from the inception of the databases to August 30, 2024. Two researchers independently conducted literature screening and data extraction, and the PROBAST tool was used to assess the risk of bias and applicability of the included studies.Results:A total of 18 studies were included, involving 24 prediction models, with sample sizes ranging from 103 to 512 and an event rate of 9.46% to 49.87%. The top six predictive variables reported most frequently were baseline age, history of aspiration, length of nasogastric tube insertion, nutritional risk, impaired consciousness, and Acute Physiology and Chronic Health Evaluation-Ⅱscore. The area under the receiver operating characteristic curve of the models ranged from 0.756 to 0.992. Twelve studies reported model calibration, six studies conducted internal validation only, one study conducted external validation only, and four studies performed both internal and external validation. The overall applicability of the 18 studies was good, but the risk of bias was high, mainly due to improper handling of continuous variables and missing data.Conclusions:The aspiration risk prediction models developed in various studies for enteral nutrition patients show good applicability but carry a high risk of bias. Future efforts should focus on further optimizing the model construction process, internal and external validation, and result analysis to provide more reliable and scientific tools for clinical aspiration risk assessment.

From August 2019 to July 2024, the Institute of Chest Wall Surgery at the Affiliated Guangdong Second Provincial General Hospital of Jinan University admitted multiple patients with severe thoracic deformities. Authors summarized the characteristics and treatment measures of three cases with typical acute-angled thoracic deformities. Three patients aged from 15 to 21 year-old were suffered from severe pectus excavatum, pectus carinatum, and complex thoracic deformities, respectively. Visually, the local bones were severely distorted, and CT scans showed that the local bones formed acute-angled intersections. Three patients underwent Wung surgery, Wenlin surgery, and Wang+ Wenlin surgery. During the operation, based on pre-shaping, the principle of template shaping was applied to implement correction, and the process was uneventful. All deformities were satisfactorily corrected. There were no postoperative complications such as bleeding, pneumothorax, or poor wound healing during 8 months to 4 years of follow-up. Acute angle deformity is a special type of thoracic deformity, and its occurrence often indicates that the local deformity is severe and complex. Therefore, in treatment, surgeons are required to first understand the basic principle of thoracic deformity correction, have a strong comprehension of the overall deformity, and be skillful and experienced in applying various thoracic deformity correction techniques.

Purpose: The risk stratification of pediatric anaplastic large cell lymphoma (ALCL) has not been standardized. In this study, new risk factors were included to establish a new risk stratification system for ALCL, and its feasibility in clinical practice was explored. Materials and Methods: On the basis of the non-Hodgkin’s lymphoma Berlin–Frankfurt–Munster 95 (NHL-BFM-95) protocol, patients with minimal disseminated disease (MDD), high-risk tumor site (multiple bone, skin, liver, and lung involvement), and small cell/lymphohistiocytic (SC/LH) pathological subtype were enrolled in risk stratification. Patients were treated with a modified NHL-BFM-95 protocol combined with an anaplastic lymphoma kinase inhibitor or vinblastine (VBL). Results: A total of 136 patients were enrolled in this study. The median age was 8.8 years. The 3-year event-free survival (EFS) and overall survival of the entire cohort were 77.7% (95% confidence interval [CI], 69.0% to 83.9%) and 92.3% (95% CI, 86.1% to 95.8%), respectively. The 3-year EFS rates of low-risk group (R1), intermediate-risk group (R2), and high-risk group (R3) patients were 100%, 89.5% (95% CI, 76.5% to 95.5%), and 67.9% (95% CI, 55.4% to 77.6%), respectively. The prognosis of patients with MDD (+), stage IV cancer, SC/LH lymphoma, and high-risk sites was poor, and the 3-year EFS rates were 45.3% (95% CI, 68.6% to 19.0%), 65.7% (95% CI, 47.6% to 78.9%), 55.7% (95% CI, 26.2% to 77.5%), and 70.7% (95% CI, 48.6% to 84.6%), respectively. At the end of follow-up, one of the five patients who received maintenance therapy with VBL relapsed, and seven patients receiving anaplastic lymphoma kinase inhibitor maintenance therapy did not experience relapse. Conclusion This study has confirmed the poor prognostic of MDD (+), high-risk site and SC/LH, but patients with SC/LH lymphoma and MDD (+) at diagnosis still need to receive better treatment (ClinicalTrials.gov number, NCT03971305).

AIM:To predict the mechanism of Sanguis draconis flavones(SDF)in the prevention and treat-ment of myocardial ischemia reperfusion injury(MIRI)based on network pharmacology and molecular docking methods.METHODS:The main chemical constituents of SDF were collected through literature search,and the targets of key con-stituents were screened by using the SwissTargetPrediction and TargetNet databases.Disease targets were also screened based on GeneCards,OMIM,TTD and PharmGkb databases,then targets were intersected with Cytoscape to construct the"drug-key constituent-target"network diagram,and the core target was obtained through visualization and analysis by Cytoscape software.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were analyzed by the Metascape platform.By utilizing AutoDock Vina software and Pymol,molecular docking between core compounds and core targets was carried out.Further,animal experiments were performed to explore the pharmacodynamic mechanism of SDF.RESULTS:The active constituents of SDF included loureirin B and loureirin A,which were mapped to 391 targets.A total of 3 096 MIRI disease targets were obtained from the database,af-ter intersection,172 intersection targets were obtained,and 56 core targets were acquired through analysis.The core relat-ed pathways included the cancer pathway and cell death signaling pathway.The results of molecular docking verified the strong binding activity between key constituents and key targets.Animal experiments demonstrated that SDF effectively prevented and treated MIRI,significantly inhibited the arachidonic acid 15-lipoxygenase(ALOX15)mRNA and protein expression,and reduced the myocardial infarction size after MIRI.CONCLUSION:SDF may play a positive role in the treatment of MIRI,which may be related to the regulation of the ALOX15 factor.