The doctor-patient fiduciary relationship confronts multiple legal dilemmas， such as the asynchrony between patients’ trust along with the granting of their body control rights and doctors’ fulfillment of diagnostic and treatment obligations， the difficulty in exhaustively specifying the content and performance standards of doctors’ diagnostic and treatment obligations in advance， the potential diminishment of medical service value due to excessive restrictions or interference with doctors’ autonomous decision-making， and the mismatch between the costs of patients supervising doctors and the benefits obtained. These dilemmas stem from the fact that the doctor-patient relationship constitutes a special fiduciary relationship based on trust， characterized by the transfer of fiduciary object， aimed at altruism， and marked by unequal status. To resolve the legal dilemmas in the doctor-patient fiduciary relationship， a shift from the “static trust” paradigm to the “dynamic fiduciary” paradigm is necessary. Guided by the concept of the doctor-patient community， a normative system for the doctor-patient fiduciary relationship should be constructed and refined， thereby fostering a fiduciary spirit， clarifying fiduciary obligations， implementing interest balancing， safeguarding patients’ rights and interests， enhancing remedies for breaches of trust， and strengthening supervision of doctors.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective To evaluate the diagnostic value of positive serum specific antibodies to Mycoplasma pneumoniae(MP)in children with Mycoplasma pneumoniae pneumonia(MPP).Methods PubMed,Cochrane Library,Embase,Sinomed,CNKI,Wanfang and VIP databases were searched for studies on the detection of MPP based on antibodies from the establishment of the database to March 31,2023.After literature screening and data extraction,STATA 16.0 software was used for Meta-analysis.Results A total of 9 literatures and 2 148 clinical samples were included.The combined sensitivities[M(95%CI)]of particle agglutination assay(PA)and enzyme-linked immunosorbent assay(ELISA)were 50%(31～69)and 88%(85～90),and the combined specificities[M(95%CI)]were 88%(76～95)and 88%(62～97).The combined diagnostic odds ratio(DOR)[M(95%CI)]were 5.61(3.30～9.53)and 43.82(12.78～150.19),and the summary receiver operating characteristic curve(SROC)area under the curve(AUC)were 0.80 and 0.88,respectively.Conclusion Serum MP specific antibody detection can be used for diagnosis and screening of children MPP,but needs to be combined with clinical symptoms improve the accuracy of the diagnosis.

Objective To retrospective analysis summarized the effectiveness and safety of the"triple"conversion therapy regimen combining immune,targeted and local therapy.Methods From February 2019 to June 2023,52 patients with advanced liver cancer from February 2019 to June 2023 in XI,an Jiao Tong university medicine college affiliated 3201 hospital were admitted and received conversion treatment regimens combining sintilimab with bevacizumab and combined with local treatment,analyzed the surgical resection rate and pathological complete response rate(pCR),complete response rate(CR),partial response rate(PR),progression of disease(PD),stable disease(SD),objective response rate(ORR)and disease control rate(DCR).To evaluated the effect of conversion therapy and adverse reactions.Results 21 cases had recived operative resection in the 52 patients with primary liver cancer receiving sintilimab and bevacizumab.The postoperative resection rate was 40.4％(21/52),pCR 42.9％(9/21).The other 31 cases have complete response 5.8％(3/52),PR 25.0％(13/52),PD 11.5％(6/52),SD 17.3％(9/52).The overall objective response rate(ORR)was71.2％(37/52),and the disease control rate(DCR)was 88.5％(46/52).Adverse reactions manifest as Grade 1-2 skin-related damage primarily affecting the epidermis.Conclusions For patients with potentially resectable primary liver cancer in middle and advanced stage,the"triple"conversion therapy with sintilimab combined with bevacizumab as systematic treatment and combined with local therapy can achieve good conversion treatment effect with controllable safety.

Objective To retrospective analysis summarized the effectiveness and safety of the"triple"conversion therapy regimen combining immune,targeted and local therapy.Methods From February 2019 to June 2023,52 patients with advanced liver cancer from February 2019 to June 2023 in XI,an Jiao Tong university medicine college affiliated 3201 hospital were admitted and received conversion treatment regimens combining sintilimab with bevacizumab and combined with local treatment,analyzed the surgical resection rate and pathological complete response rate(pCR),complete response rate(CR),partial response rate(PR),progression of disease(PD),stable disease(SD),objective response rate(ORR)and disease control rate(DCR).To evaluated the effect of conversion therapy and adverse reactions.Results 21 cases had recived operative resection in the 52 patients with primary liver cancer receiving sintilimab and bevacizumab.The postoperative resection rate was 40.4％(21/52),pCR 42.9％(9/21).The other 31 cases have complete response 5.8％(3/52),PR 25.0％(13/52),PD 11.5％(6/52),SD 17.3％(9/52).The overall objective response rate(ORR)was71.2％(37/52),and the disease control rate(DCR)was 88.5％(46/52).Adverse reactions manifest as Grade 1-2 skin-related damage primarily affecting the epidermis.Conclusions For patients with potentially resectable primary liver cancer in middle and advanced stage,the"triple"conversion therapy with sintilimab combined with bevacizumab as systematic treatment and combined with local therapy can achieve good conversion treatment effect with controllable safety.

Objective To evaluate the diagnostic value of positive serum specific antibodies to Mycoplasma pneumoniae(MP)in children with Mycoplasma pneumoniae pneumonia(MPP).Methods PubMed,Cochrane Library,Embase,Sinomed,CNKI,Wanfang and VIP databases were searched for studies on the detection of MPP based on antibodies from the establishment of the database to March 31,2023.After literature screening and data extraction,STATA 16.0 software was used for Meta-analysis.Results A total of 9 literatures and 2 148 clinical samples were included.The combined sensitivities[M(95%CI)]of particle agglutination assay(PA)and enzyme-linked immunosorbent assay(ELISA)were 50%(31～69)and 88%(85～90),and the combined specificities[M(95%CI)]were 88%(76～95)and 88%(62～97).The combined diagnostic odds ratio(DOR)[M(95%CI)]were 5.61(3.30～9.53)and 43.82(12.78～150.19),and the summary receiver operating characteristic curve(SROC)area under the curve(AUC)were 0.80 and 0.88,respectively.Conclusion Serum MP specific antibody detection can be used for diagnosis and screening of children MPP,but needs to be combined with clinical symptoms improve the accuracy of the diagnosis.

Objective:To develop a risk prediction model for identifying bronchopulmonary dysplasia (BPD) associated pulmonary hypertension (PH) in very premature infants.Methods:This was a retrospective cohort study. The clinical data of 626 very premature infants whose gestational age <32 weeks and who suffered from BPD were collected from October 1 st, 2015 to December 31 st, 2021 of the Seventh Medical Center of the People′s Liberation Army General Hospital as a modeling set. The clinical data of 229 very premature infants with BPD of Hunan Children′s Hospital from January 1 st, 2020 to December 31 st, 2021 were collected as a validation set for external verification. The very premature infants with BPD were divided into PH group and non PH group based on the echocardiogram after 36 weeks′ corrected age in the modeling set and validation set, respectively. Univariate analysis was used to compare the basic clinical characteristics between groups, and collinearity exclusion was carried out between variables. The risk factors of BPD associated PH were further screened out by multivariate Logistic regression, and the risk assessment model was established based on these variables. The receiver operating characteristic (ROC) area under curve (AUC) and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the model′s discrimination and calibration power, respectively. And the calibration curve was used to evaluate the accuracy of the model and draw the nomogram. The bootstrap repeated sampling method was used for internal verification. Finally, decision curve analysis (DCA) to evaluate the clinical practicability of the model was used. Results:A total of 626 very premature infants with BPD were included for modeling set, including 85 very premature infants in the PH group and 541 very premature infants in the non PH group. A total of 229 very premature infants with BPD were included for validation set, including 24 very premature infants in the PH group and 205 very premature infants in the non PH group. Univariate analysis of the modeling set found that 22 variables, such as artificial conception, fetal distress, gestational age, birth weight, small for gestational age, 1 minute Apgar score ≤7, antenatal corticosteroids, placental abruption, oligohydramnios, multiple pulmonary surfactant, neonatal respiratory distress syndrome (NRDS)>stage Ⅱ, early pulmonary hypertension, moderate-severe BPD, and hemodynamically significant patent ductus arteriosus (hsPDA) all had statistically significant influence between the PH group and the non PH group (all P<0.05). Antenatal corticosteroids, fetal distress, NRDS >stage Ⅱ, hsPDA, pneumonia and days of invasive mechanical ventilation were identified as predictive variables and finally included to establish the Logistic regression model. The AUC of this model was 0.86 (95% CI 0.82-0.90), the cut-off value was 0.17, the sensitivity was 0.77, and the specificity was 0.84. Hosmer-Lemeshow goodness-of-fit test showed that P>0.05. The AUC for external validation was 0.88, and the Hosmer-Lemeshow goodness-of-fit test suggested P>0.05. Conclusions:A high sensitivity and specificity risk prediction model of PBD associated PH in very premature infants was established. This predictive model is useful for early clinical identification of infants at high risk of BPD associated PH.

Objective:To study the changes of cord blood neutrophil gelatinase-associated lipocalin (NGAL) under different levels of hypoxia at birth and its correlations with hypoxic organ damage (including liver, kidney and heart).Methods:From April to October 2022, all neonates born in our hospital were prospectively enroll in the study. The neonates without perinatal risk factors were assigned into the control group. The neonates with intrauterine distress or hypoxia during labor were assigned into the hypoxia group (no asphyxia at birth) and the asphyxia group (with asphyxia at birth). Cord blood was collected from the umbilical artery and cord blood gas (CBG) and NGAL were measured. Liver enzymes, kidney function and cardiac enzymes as biomarkers for hypoxic organ damage were measured 24~48 h after birth. The correlations of NGAL and the biomarkers were analyzed.Results:A total of 161 neonates were enrolled, including 91 in the control group, 49 in the hypoxia group and 21 in the asphyxia group. NGAL in the asphyxia group was significantly higher than the hypoxia group and the control group [(1.81±0.71) ng/ml vs. (1.22±0.53) ng/ml, (0.88±0.47) ng/ml], NGAL in the hypoxia group significantly higher than the control group ( P<0.05). NGAL was negatively correlated with Apgar score, pH and BE of CBG ( r<-0.3, P<0.05) and positively correlated with lactate, ALT, creatinine ( r>0.3, P<0.05). No significant correlations existed between NGAL and gender, gestational age, birth weight, mother's age, BMI and CK-MB ( P<0.05). ROC curve showed that sensitivity and specificity of NGAL for predicting hypoxic organ damage were 84.3% and 60.3%, respectively, with a cut-off value of 1.07 ng/ml. Conclusions:Cord blood NGAL may increase with the deterioration of hypoxia at birth and may be associated with hypoxic organ damage.

Objective:To analyze the accuracy of lung ultrasound and chest X-ray in the diagnosis of neonatal pulmonary disease.Methods:We prospectively collected newborns that needed chest X-ray examination to diagnose pulmonary disease from twelve neonatal intensive care units across the country between June 2019 and April 2020.Each newborn was examined by lung ultrasound within two hours after chest X-ray examination.All chest X-ray and lung ultrasound images were independently read by a radiologist and a sonographer.When there was a disagreement, a panel of two experienced physicians made a final diagnosis based on the clinical history, chest X-ray and lung ultrasound images.Results:A total of 1 100 newborns were enrolled in our study.The diagnostic agreement between chest X-ray and lung ultrasound(Cohen′s kappa coefficient=0.347) was fair.Lung ultrasound(area under the curve=0.778; 95% CI 0.753-0.803) performed significantly better than chest X-ray(area under the curve=0.513; 95% CI 0.483-0.543) in the diagnosis of transient tachypnea of the newborn( P<0.001). The accuracy of lung ultrasound in diagnosing neonatal respiratory distress syndrome, meconium aspiration syndrome, pneumonia and neonatal pulmonary atelectasis was similar to that of chest X-ray. Conclusion:Lung ultrasound, as a low-cost, simple and radiation-free auxiliary examination method, has a diagnostic accuracy close to or even better than that of chest X-ray, which may replace chest X-ray in the diagnosis of some neonatal lung diseases.It should be noted that both chest X-ray and lung ultrasound can only be used as auxiliary means for the diagnosis of lung diseases, and it is necessary to combine imaging with the clinical history and presentation.

Objective:To investigate epidemiological characteristics and macrolide-resistance of hospitalized children with Mycoplasma pneumoniae (MP) infections in Beijing from 2016 to 2019, so as to provide basis for the prevention and treatment of pediatric Mycoplasma pneumoniae pneumonia (MPP).Methods:The clinical data were analyzed retrospectively from 8 691 children hospitalized with community acquired pneumonia in Beijing Children′s Hospital between January 2016 and September 2019.MP RNA was detected by simultaneous amplification and testing (SAT), and macrolide resistance of MP was examined by MP and macrolide-resistant isolate diagnostic kit (PCR with fluorescence probes). Chi- square test was used for categorical analysis. Results:Among 8 691 cases detected by SAT, the overall detection rate of MP was 28.10% (2 442/8 691 cases). The detection rates of MP from 2016 to 2019 were 26.23%, 31.36%, 27.84 % and 26.57%, respectively.The detection rate of MP in 2017 was significantly higher than that in other years ( χ2=16.11, P<0.05). The detection rate of MP in females was 29.65%(1 107/3 733 cases), which was evidently higher than that in males 26.93%(1 335/4 958 cases) ( χ2=7.85, P<0.05). The positive rates of MP in summer[32.21% (726/2 254 cases)] and autumn[39.76%(852/2 143 cases)] were significantly higher than those in spring[17.00% (327/1 924 cases)] and winter[22.66%(537/2 370 cases)] ( χ2=315.15, P<0.001). The percentages of MP were 35.06%(732/2 088 cases) in preschoolers and 37.71%(1 160/3 076 cases) in school-age children, which were significantly higher than 11.20%(232/2 072 cases) in infants and 22.01% (318/1 445 cases) in toddlers ( χ2=509.89, P<0.001). Macrolide resistance detection was conducted in 1 524 patients by fluorescent PCR.Among them, 1 386 patients were positive for drug resistance, and the positive rate was 90.94%.The prevalence of macrolide-resistant MP from 2016 to 2019 were 88.19%, 90.93%, 90.56% and 92.90%, respectively.Macrolide-resistant rates were not related with gender, age and season. Conclusions:MP can be detected in all seasons, but most prevalently in summer and autumn.Girls are more prone to MP infections than boys.The detection rate of MP increases with age, and the positive rate is higher in preschoolers and school-age children.During the 4-year study period, the drug resistant rate of MP remain high.