Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

The neonatal mammalian heart has a remarkable regenerative capacity, while the adult heart has difficulty to regenerate. A metabolic reprogramming from glycolysis to fatty acid oxidation occurs along with the loss of cardiomyocyte proliferative capacity shortly after birth. In this study, we sought to determine if and how metabolic reprogramming regulates cardiomyocyte proliferation. Reversing metabolic reprogramming by carnitine palmitoyltransferase 1 (CPT1) inhibition, using cardiac-specific Cpt1a and Cpt1b knockout mice promoted cardiomyocyte proliferation and improved cardiac function post-myocardial infarction. The inhibition of CPT1 is of pharmacological significance because those protective effects were replicated by etomoxir, a CPT1 inhibitor. CPT1 inhibition, by decreasing poly(ADP-ribose) polymerase 1 expression, reduced ADP-ribosylation of dual-specificity phosphatase 1 in cardiomyocytes, leading to decreased p38 MAPK phosphorylation, and stimulation of cardiomyocyte proliferation. Our present study indicates that reversing metabolic reprogramming is an effective strategy to stimulate adult cardiomyocyte proliferation. CPT1 is a potential therapeutic target for promoting heart regeneration and myocardial infarction treatment.

Objective:To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application.Methods:This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis.Results:The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group ( χ2=5.560, P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group ( χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion:SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.

Objective:To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application.Methods:This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis.Results:The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group ( χ2=5.560, P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group ( χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion:SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.

Objective To evaluate the process risk of the implementation of prevention and control measures for surgical site infection(SSI)after colorectal surgery,and explore the application effect of failure mode and effects analysis(FMEA)based on action priority.Methods FMEA based on action priority was adopted to evaluate the whole process of the implementation of prevention and control measures for SSI after colorectal surgery.Prioritiza-tion ranking was conducted according to whether optimized measures were taken.Standard-reaching rate of comp-liance to SSI prevention and control measures as well as SSI incidence before and after the implementation of FMEA were compared.Results After evaluation,there were 7 high-priority and 22 medium-priority prevention and control measures for SSI.The control of medium-priority measures was strengthened,with a focus on developing further preventive and detectable measures for high-priority measures.The re-evaluation results after improvement showed that 7 high-priority measures have been downgraded to medium priority,and 16 medium-priority measures have been downgraded to low priority.Standard-reaching rate of compliance to SSI prevention and control measures in-creased from 77.15％(2 566/3 326)to 92.47％(3 096/3 348),and SSI incidence decreased from 6.04％(58/960)to 2.54％(60/2 364).Conclusion Application of FMEA based on action priority can effectively evaluate the risk of prevention and control process of SSI after colorectal surgery,and adopting preventive risk control measures accord-ing to the current situation can reduce the incidence of SSI after colorectal surgery.

Objective:To seek a correlation between short-chain fatty acids (SCFAs) and skill in the activities of daily living (ADL) after an ischemic stroke.Methods:Ninety ischemic stroke survivors were assessed using the Barthel Index (BI). Fecal samples were collected and analyzed for the concentration of acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid, and isovaleric acid using gas chromatography. Spearman correlation analysis was conducted to identify SCFAs that correlated with the total BI score. Linear regressions were evaluated to explore the correlation between the total BI score and SCFAs.Results:The concentrations of propionic and butyric acids in the feces were found to correlate significantly with the total BI scores. Data including propionic acid and butyric acid levels, age, gender, body mass index, disease duration, any history of hypertension or diabetes, and other SCFAs were included in the regression models. Propionic and butyric acid levels were found to be potentially useful predictors of total BI scores.Conclusions:The concentration of propionic and butyric acids in the feces after an ischemic stroke can predict the survivor′s total BI score. Those concentrations could therefore be useful for predicting ADL ability.

Objective To analyze the radiomic and clinical features extracted from 2D ultrasound images of thyroid tumors in patients with Hashimoto's thyroiditis(HT)combined with papillary thyroid carcinoma(PTC)using machine learning(ML)models,and to explore the diagnostic performance of the method in making preoperative noninvasive identification of cervical lymph node metastasis(LNM).Methods A total of 528 patients with HT combined with PTC were enrolled and divided into two groups based on their pathological results of the presence or absence of LNM.The groups were subsequently designated the With LNM Group and the Without LNM Group.Three ultrasound doctors independently delineated the regions of interest and extracted radiomic features.Two modes,radiomic features and radiomics-clinical features,were used to construct random forest(RF),support vector machine(SVM),LightGBM,K-nearest neighbor(KNN),and XGBoost models.The performance of these five ML models in the two modes was evaluated by the receiver operating characteristic(ROC)curves on the test dataset,and SHapley Additive exPlanations(SHAP)was used for model visualization.Results All five ML models showed good performance,with area under the ROC curve(AUC)ranging from 0.798 to 0.921.LightGBM and XGBoost demonstrated the best performance,outperforming the other models(P＜0.05).The ML models constructed with radiomics-clinical features performed better than those constructed using only radiomic features(P＜0.05).The SHAP visualization of the best-performing models indicated that the anteroposterior diameter,superoinferior diameter,original_shape_VoxelVolume,age,wavelet-LHL_firstorder_10Percentile,and left-to-right diameter had the most significant effect on the LightGBM model.On the other hand,the superoinferior diameter,anteroposterior diameter,left-to-right diameter,original_shape_VoxelVolume,original_firstorder_InterquartileRange,and age had the most significant effect on the XGBoost model.Conclusion ML models based on radiomics and clinical features can accurately evaluate the cervical lymph node status in patients with HT combined with PTC.Among the 5 ML models,LightGBM and XGBoost demonstrate the best evaluation performance.

Objective To uncover and identify the differences in salivary microbiota profiles and their potential roles between patients with pulmonary nodules(PN)and healthy controls,and to propose new candidate biomarkers for the early warning of PN.Methods 16S rRNA amplicon sequencing was performed with the saliva samples of 173 PN patients,or the PN group,and 40 health controls,or the HC group,to compare the characteristics,including diversity,community composition,differential species,and functional changes of salivary microbiota in the two groups.Random forest algorithm was used to identify salivary microbial markers of PN and their predictive value for PN was assessed by area under the curve(AUC).Finally,the biological functions and potential mechanisms of differentially-expressed genes in saliva samples were preliminarily investigated on the basis of predictive functional profiling of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States(PICRUSt2).Results The α diversity and βdiversity of salivary microbiota in the PN group were higher than those in the HC group(P＜0.05).Furthermore,there were significant differences in the community composition and the abundance of oral microorganisms between the PN and the HC groups(P＜0.05).Random forest algorithm was applied to identify differential microbial species.Porphyromonas,Haemophilus,and Fusobacterium constituted the optimal marker sets(AUC=0.79,95％confidence interval:0.71-0.86),which can be used to effectively identify patients with PN.Bioinformatics analysis of the differentially-expressed genes revealed that patients with PN showed significant enrichment in protein/molecular functions involved in immune deficiency and redox homeostasis.Conclusion Changes in salivary microbiota are closely associated with PN and may induce the development of PN or malignant transformation of PN,which indicates the potential of salivary microbiota to be used as a new non-invasive humoral marker for the early diagnosis of PN.

Objective:To explore the surgical method and therapeutic effect of repairing soft tissue defect of digit-tip with single subcutaneous pedicle V-Y advancing flap combined with skin grafting.Methods:From August 2013 to December 2020, 25 soft tissue defects of digit-tip were repaired by a single subcutaneous pedicle V-Y advancing flap combined with pedicle skin grafting. The area of the defects was 0.8 cm× 0.8 cm to 1.6 cm× 1.4 cm. The flaps were harvested from palm or lateral side of the wound and the area of flap was 0.5 cm×1.0 cm to 0.8 cm×2.5 cm. In order to make the flap transfer to a further distance, the subcutaneous fibre connection of the flap was cut-off during the operation. At the same time, cut off 1 side of subcutaneous pedicle. Finally, the advanced distance of the flap reached 0.5-1.2 cm. After the flap harvested, the medium thickness skin was removed for graft to close the donor site from the wrist striations. After the surgery, follow-up visits were conducted regularly by outpatient clinic, or via telephone or WeChat review or by home visit. Throughout the follow-up, the flap appearance, sensation and recovery of the function of digital joint were observed, together with the patient satisfaction. Results:After the surgery, the postoperative follow-up lasted for 4 months to 8 years. All 25 flaps and skin grafts were survived in first stage wound healing. The flaps and skin grafting areas had excellent texture. The fingerprint had been reconstructed with good appearance. The TPD was 4-9 mm, the functions of digital joint recovered well, and there was no complain about a discomfort at the donor site. According to the evaluation standard of Michigan hand function questionnaire, all 25 patients were very satisfied with the overall appearance and function of the hand. According to Total Angle of Motion (TAM) evaluation standard, finger mobility was excellent in all 25 patients.Conclusion:Subcutaneous V-Y advancing flap combined with skin grafting is an ideal method for repairing soft tissue defect of digit-tip. The surgery characterises a simple flap cutting, less traumatic damage, long advancing distance of flap and good repair effect.