Objective To investigate the application value of bronchoalveolar lavage fluid(BALF)met-agenomic next-generation sequencing(mNGS)in elderly patients with severe pneumonia.Methods A total of 48 elderly patients with severe pneumonia admitted to the intensive care unit from January to August 2024 were selected and randomly divided into an observation group and a control group,with 24 patients in each group.BALF samples were collected within 24 hours of ICU admission from both groups,with lavage per-formed at the most radiologically evident lesion site.The control group underwent traditional culture at the hospital,while the observation group had one specimen sent for mNGS testing and another specimen subjected to traditional culture at the hospital.Comparison of detection results between mNGS and traditional culture in the observation group,pathogen distribution,infection markers(on days 4 and 7 of ICU admission),and prog-nostic outcomes were compared between the groups.Results The observation group showed higher positive detection rates and higher rates of detecting ≥2 pathogens by mNGS compared to both traditional culture in the same group and the control group(P＜0.05).Excluding Acinetobacter baumannii,Candida albicans,Can-dida glabrata,and Raoultella planticola,the observation group detected higher quantities of fungi,viruses,and rare pathogens than the control group.On days 4 and 7 of ICU admission,the observation group had signifi-cantly lower body temperature,white blood cell count,C reactive protein,and procalcitonin levels compared to the control group(P＜0.05).The observation group also demonstrated shorter ICU stays,reduced mechanical ventilation duration,and total lower hospitalization costs than the control group(P＜0.05).Conclusion BALF mNGS facilitates early identification of mixed and rare pathogens,improves detection rates,broadens microbial coverage,and shortens testing time.

Objective To explore the predictive value of heel blood thyrotropin stimulating hormone(TSH)and insulin-like growth factor-1(IGF-1)for congenital hypothyroidism(CH).Methods A total of 83 children with CH admitted to the Seventh Medical Center of the Chinese People's Liberation Army General Hospital from January 2021 to January 2024 were selected as the study group,and 53 healthy newborns born and examined in the center during the same period were selected as the control group.Heel blood TSH,IGF-1 and thyroid function were measured in both groups.Heel blood TSH,IGF-1 and thyroid function indexes were compared between the two groups,and the correlation between heel blood TSH,IGF-1 and thyroid function indexes was analyzed,the influencing factors of CH occurrence were analyzed,and the predictive value of heel blood TSH,IGF-1 and thyroid indexes for CH was analyzed.Results Pearson correlation analysis showed that heel blood TSH was negatively correlated with FT4,TT3,FT3 and TT4(r=-0.522,-0.468,-0.539,-0.667,all P＜0.05).IGF-1 was positively correlated with FT4,TT3,FT3,TT4(r=0.394,0.427,0.511,0.562,all P＜0.05).The results of receiver operating characteristic curve analysis showed that the area under the curve of TSH,IGF-1 and their combination were 0.800,0.794 and 0.822,respectively.Univariate and multiple Logistic regression analysis showed that birth weight,family history,TSH,IGF-1,FT4,FT3 were the influencing factors for the occurrence of CH(P＜0.05).Conclusion The combined detection of TSH and IGF-1 levels in heel blood has a certain predictive value for the occurrence of CH,and can provide a basis for the disease assessment of children.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

Objective To explore the reliability and safety of continuous monitoring of vital signs in patients using wireless wearable monitoring devices after video-assisted thoracoscopic surgery (VATS) for lung cancer. Methods The patients undergoing VATS for lung cancer in West China Hospital, Sichuan University from May to August 2023 were prospectively enrolled. Both wireless wearable and traditional wired devices were used to monitor the vital signs of patients after surgery. Spearman correlation analysis, paired sample t test and ratio Bland-Altman method were used to test the correlation, difference and consistency of monitoring data measured by the two devices. The effective monitoring rate of the wireless wearable device within 12 hours was calculated to test the reliability of its continuous monitoring. Results A total of 20 patients were enrolled, including 15 females and 5 males with an average age of 46.20±11.52 years. Data collected by the two monitoring devices were significantly correlated (P<0.001). Respiratory rate and blood oxygen saturation data collected by the two devices showed no statistical difference (P>0.05), while heart rate measured by wireless wearable device was slightly lower (=−0.307±1.073, P<0.001), and the blood pressure (=1.259±5.354, P<0.001) and body temperature(=0.115±0.231, P<0.001) were slightly higher. The mean ratios of heart rate, respiratory rate, blood oxygen saturation, blood pressure and body temperature collected by the two devices were 0.996, 1.004, 1.000, 1.014, and 1.003, respectively. The 95% limits of agreement (LoA) and 95% confidence interval of 95%LoA of each indicator were within the clinically acceptable limit. The effective monitoring rate of each vital signs within 12 hours was above 98%. Conclusion The wireless wearable device has a high accuracy and reliability for continuous monitoring vital signs of patients after VATS for lung cancer, which provides a security guarantee for subsequent large-scale clinical application and further research.

Objective:To construct a mouse asthma model induced by mugwort pollen and to explore endotyping,providing methods for subsequent precision treatment.Methods:BALB/c mice were intraperitoneally injected with mugwort pollen extract(MPE)to sensitize,following MPE intranasal challenge to construct MPE allergic asthma murine model.Mice were randomly divided into PBS sensitization and PBS challenge(P-P),MPE sensitization and PBS challenge(M-P),MPE sensitization and MPE challenge model(M-M)groups.24 h after final challenge,mice were performed to examine airway responsiveness;bronchoalveolar lavage fluid(BALF)was harvested for cell counting and statistical classification of inflammatory cells through flow cytometry analysis.Pulmonary slides were collected for pathological examination,including HE,PAS,Masson and α-SMA immunohistochemical staining.ELISA was used to detect levels of IFN-γ,IL-4,IL-5,IL-13,IL-17A in lung tissue and serum,as well as serum total IgE and MPE-specific IgE,IgG1,IgG2a levels.Results:Pathological examination showed higher airway reactivity,more inflammatory cells infiltration around airway,obvious goblet metaplasia,thickening of airway smooth muscles and dramatical fibrin deposition around airway in model group.Total cell numbers of BALF were increased from<1×105 cells/ml in P-P group to>5×105 cells/ml in model group,in which eosinophils were predominant cellular type,levels of IL-4,IL-13,IL-17A in lung and IL-5,IL-13 levels in serum were significantly increased,as well as significant increasing levels of total IgE and MPE-specific IgE,IgG1,IgG2a.Conclusion:MPE-sensitized and challenged mice induces typical eosinophilic asthma featured with elevated eosinophils,as well as secretion of inflammatory factors of type 2 and type 17,IgE,IgG1 and IgG2a subtypes soars to high levels.

The phosphatase and tensin homolog deleted on chromosome ten (PTEN) is a common oncogene located in the 10q23.3 region on the long arm of human chromosome l0, which regulates a variety of biological processes such as proliferation, survival, cell structure, motility, energy metabolism and genomic stability. Inactivation of PTEN is prevalent in almost all malignancies and correlates with tumor progression. Thyroid malignancies are among the most common endocrine malignancies, and PTEN has been shown to be critically associated with their development. The aim of this review is to describe the structural function of PTEN, as well as to summarize and discuss the recent findings of PTEN in thyroid malignancies.

Triple-negative breast cancer (TNBC) is one of the most aggressive subtypes of breast cancer, accounting for about 15%-20% of all breast cancer patients. Its characteristics such as young age of onset, high risk of recurrence and visceral metastasis, and poor prognosis make it an urgent problem to be solved in clinical practice. With the rapid progress of genomics and proteomics, more and more potential therapeutic targets of TNBC have been identified, and the preliminary results show that these targets are promising to transform the treatment mode of TNBC in the future. This article reviews the clinical trials and applications of TNBC targeted drugs, as well as gives a brief introduction to nanomedicine.

Objective:To investigate the risk factors of central lymph node metastasis (CLNM) in cN0 paillary thyroicl microcarcinoma (PTMC) and to establish a nomogram model for predicting the probability of cN0 PTMC CLNM.Methods:The clinicopathological data of 192 patients with cN0 PTMC admitted to the Department of General Surgery of the Second Hospital of Lanzhou University from Aug. 2016 to Aug. 2020 were retrospectively analyzed. There were 41 males and 151 females, 50 with CLNM and 142 without CLNM. The patients were divided into 2 groups according to the presence or absence of pathologically confirmed CLNM. Patient’s age, gender, tumor diameter, multiple, with Hashimoto’s disease, with nodular goiter, with or without near the posterior dorsal membrane, aspect ratio >1, with or without extratumoral infiltration, with or without lymphadenopathy, TSH levels, and TG levels were statistically analyzed. Pearson chi-square test was used to analyze the count data of hypothesis test, and the R language software package was used for Logistic multivariate analysis. The entry conditions were screened by stepwise regression to establish a nomogram prediction model, and the Bootstrap method was used for model verification. P<0.05 was considered statistically significant. Results:Multivariate logistic analysis showed that extratumoral invasion ( P=0.032) , presence of lymphadenopathy ( P=0.010) , and TG>68 μg/L ( P=0.007) were risk factors for central lymph node metastasis. The optimal model was established by stepwise regression. The factors included tumor diameter ≥0.5 cm, nodular goiter, extratumoral invasion, lymphadenopathy and TG>68 μg/L (AIC: 212.27) . The nomogram model was established according to the above risk factors. The consistency index (c-index) was 0.711. The results of calibration graph drawing and internal and external validation demonstrated its good consistency and applicability. Conclusion:Extratumoral invasion, lymphadenopathy, and TG>68 μg/L are risk factors for cN0 PTMC CLNM, and the nomogram established in the study can effectively predict the CLNM rate in patients with cN0PTMC and contribute to clinicians’ diagnosis and treatment decisions.

Objective To investigate the prediction of axillary lymph node metastasis in patients with early breast cancer by sentinel lymph node biopsy (SLNB) combined with preoperative ultrasound.Methods From Jun 2014 to Oct 2018,340 patients with early breast cancer were enrolled in the 5th Department of General Surgery of Second Hospital of Lanzhou University.113 cases were grouped into ultrasound examing,75 patients in the SLNB,and 152 patients in the SLNB combined with preoperative ultrasound.Using the results of axillary lymph node dissection as gold standard,the 3 groups were compared.Results The sensitivity of SLNB,ultrasound and SLNB combined with ultrasound for suspicious axillary lymph node biopsy were 90.1％,85.7％,and 96.4％,respectively.The specificity was 84.0％,76.3％,and 100％,and the accuracy was 91.6％,83.0％,and 97.4％,respectively.The false negative rates were 8.6％,14.3％,and 3.6％,respectively.Conclusion Preoperative ultrasound diagnosis of axillary lymph node status combined with sentinel lymph node biopsy can significantly improve the diagnosis rate of axillary lymph node metastasis in early breast cancer.

Objective To explore the diagnostic value of CEUS for thyroid TI-RADS 3,4 nodules.Methods The CEUS performence of 95 patients with thyroid TI-RADS 3,4 nodules (all were confirmed by surgery pathology) diagosed by conventional ultrasound were reviewed retrospectively,and the value of CEUS in the revision and differential diagnosis of thyroid TI-RADS 3,4 nodules were analyzed.Results Compared with pathological pattern,conventional ultrasound TI-RADS classifications in assessing the property of thyroid nodule had no statistical differences (χ2 =3.56,P =0.06).For thyroid TI-RADS 3,4 nodules,compared with conventional ultrasound TI-RADS classifications,the diagnosis accuracy of CEUS score and revised CEUS TI-RADS classifications showed significant differeces respectively (P=0.03,＜0.01) for thyroid papillary carcinoma greater than 1 cm.But no statistical difference were found respectively (P=0.25,1.00) for thyroid papillary carcinoma smaller than 1 cm.According to the ROC curve analysis,the area under the curve of traditional ultrasound TI-RADS classifications,CEUS score and revised CEUS TI-RADS classifications were 0.64,0.75,0.81 respectively,cut-off value was TI-RADS 4a,1 score,TI-RADS 4a respectively,the sensitivity and specificity of evaluating benign and malignant nodules was 45.3％ and 80.0％,69.3％ and 65.0％,82.7％ and 60.0％,respectively.The area under the ROC curve were statistical difference between CEUS score,revised CEUS TI-RADS classifications and conventional ultrasound TI-RADS classifications (both P＜0.05),while CEUS score and revised CEUS TI-RADS classifications without statistical difference.Conclusion CEUS had the revised and improved identification value for thyroid TI-RADS 3,4 nodules.