Surgical operations are one of the high-risk activities in modern society, and surgeons in this high-pressure environment require not only excellent technical skills but also well-rounded non-technical skills. Non-technical skills encompass key abilities such as situational awareness, decision-making, communication and teamwork, leadership, and stress management, as well as the capacity for error correction feedback loops, emotional intelligence, and adaptability to complex environments. These “soft skills” help surgeons to more effectively handle emergencies during surgery, optimize team collaboration, ensure patient safety, and increase the success rate of operations. Western countries have systematized non-technical skills into physicians’ training programs, while in China, further attention and promotion are still needed. By establishing comprehensive non-technical skill assessment standards and systematic training programs, the overall quality of surgeons can be enhanced, thereby ensuring patient safety, improving clinical outcomes, and fulfilling the professional mission of surgeons.

Surgical operations are one of the high-risk activities in modern society, and surgeons in this high-pressure environment require not only excellent technical skills but also well-rounded non-technical skills. Non-technical skills encompass key abilities such as situational awareness, decision-making, communication and teamwork, leadership, and stress management, as well as the capacity for error correction feedback loops, emotional intelligence, and adaptability to complex environments. These “soft skills” help surgeons to more effectively handle emergencies during surgery, optimize team collaboration, ensure patient safety, and increase the success rate of operations. Western countries have systematized non-technical skills into physicians’ training programs, while in China, further attention and promotion are still needed. By establishing comprehensive non-technical skill assessment standards and systematic training programs, the overall quality of surgeons can be enhanced, thereby ensuring patient safety, improving clinical outcomes, and fulfilling the professional mission of surgeons.

This study aims to analyze the screening results and epidemiological characteristics of prostate cancer (PCa) among elderly males in the rural areas of Songjiang, Shanghai City, through the implementation of a preliminary prostate-specific antigen (PSA) screening based on a community-linkage model, and to explore an effective screening approach. A retrospective observational study design was employed to collect data from residents who underwent PSA screening at Songjiang Hospital affiliated to Shanghai Jiao Tong University School of Medicine, in collaboration with multiple community health service centers in Songjiang District, Shanghai City, between June 2022 and June 2024, through free clinics and annual health examinations. Prostate biopsy was recommended for individuals with total PSA (tPSA) levels >10 ng/ml and those with 4 ng/ml≤tPSA≤10 ng/ml and abnormal free-to-total PSA (f/tPSA) ratios. Clinical characteristics of detected PCa patients were analyzed. Follow-up was conducted through phone calls and home visits by family doctors, coupled with enhanced health education. The results indicated that a total of 17 198 residents participated in the screening, among which 2 234 (12.99%) had tPSA levels between 4 ng/ml and 10 ng/ml, and 257 (1.49%) had tPSA levels >10 ng/ml. Ultimately, 417 residents underwent prostate biopsy, with 171 being diagnosed with PCa, yielding a positive biopsy rate of 41.00% and a PCa detection rate of 0.99%. The predominant pathological subtype among PCa patients was adenocarcinoma (168 cases, 98.24%). Of the 146 PCa patients who received treatment, the majority were classified as intermediate or high-risk (124 cases, 84.93%). Furthermore, with the optimization of the screening model, there was a significant increase in the proportion of subsequent outpatient visits. In conclusion, the community-linkage-based PSA screening model demonstrated high effectiveness in screening for PCa among elderly males in the rural areas of Songjiang, Shanghai City. Epidemiological findings revealed that PCa patients in this region are primarily composed of intermediate and high-risk groups, highlighting the need for intensified early screening and health education.

Objective:To explore the factors influencing the recovery of swallowing function after a brainstem hemorrhage and to construct a prediction model.Methods:Clinical data on 134 persons with dysphagia after a brainstem hemorrhage were collected retrospectively. According to their swallowing ability at discharge, the patients were divided into a swallowing recovery group and a non-recovery group. Univariate correlation analysis and multivariate logistic regression analysis were used to explore the independent factors influencing the recovery of swallowing function and to construct a prediction nomogram. The receiver operating characteristics (ROC) curves were evaluated to analyze the nomogram′s predictive value and those of the relevant influencing factors.Results:Sixty-two of the patients (46%) had recovered their swallowing function at discharge, while 72 (54%) had not. Univariate correlation analysis showed that there had been significant differences in tracheal intubation, NIHSS score, FOIS score, Barthel index and Glasgow coma scale (GCS )score between the two groups, on average. The multivariate logistic regressions showed that a low NIHSS score, a high FOIS score and a high GCS score were independent predictors of swallowing function recovery, so they were used in the prediction model. ROC curve analysis showed that the area under the curve (AUC) of the prediction model was 0.953 (95% CI: 0.902~0.982) with a sensitivity of 87% and a specificity of 93%. The model′s predictions were thus better than using an NIHSS score, GCS score or FOIS score alone. Conclusions:NIHSS score, GCS score and FOIS score can independently predict the recovery of swallowing function after a brainstem hemorrhage. A prediction model constructed using all three has good predictive power.

ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

OBJECTIVE To explore the possible molecular mechanism through which amygdala cell adhesion molecule-1(CADM1)is involved in acute sleep deprivation-induced anxiety.METHODS Sixteen 8-week-old C57BL/6J mice were randomly divided into the control group and para-chlorophe-nylalanine(PCPA)-induced acute sleep deprivation experimental group.The PCPA mice were intraperi-toneally injected with PCPA suspension(at a dose of 300 mg?kg-1)between 8∶00 and 9∶00 am for 2 consecutive days while the control mice were injected with the same dose of normal saline.The sleep latency and sleep duration of mice were detected via the righting reflex test.Anxiety-like behaviors were detected by the open field test and elevated plus maze test.The expression level of CADM1 in the mouse amygdala was detected by Western Blot and Immunofluorescence staining.The GeneNet-work database was used to analyze the association between Cadm1 genes and other genes in the mouse amygdala.The key candidate regulatory genes were screened,and the Cadm1-anxiety behavior phenotype network was constructed.The mRNA expression levels of the key candidate regulatory genes were analyzed via qPCR analysis.RESULTS Compared with the control mice,the sleep latency of PCPA mice was significantly prolonged(P<0.01)while the sleep duration was significantly shortened(P<0.01).The activity time and distance of PCPA mice in the open field center were significantly shorter than those of the control group(P<0.05).The elevated plus maze experiment showed that the percentage of the number of times PCPA mice entered the open arm and the percentage of residence time in the open arm were significantly lower than those of the control group(P<0.05).Western Blot and immuno-fluorescence staining showed that the expression of CADM1 protein in the amygdala from PCPA mice was down-regulated compared with the control mice(P<0.05).Based on gene-behavioral association network analysis,Cadm1 was significantly associated with 25 anxiety-like behavior-related genes.The enrichment analysis of Cadm1 co-expression genes showed that Cadm1 was associated with γ-amino-butyric acid GABAergic synaptic pathway(P=4.31e-09),and that the key genes were huntingtin associ-ated protein 1(Hap1)(r=0.705,P=1.09e-08)、inositol 1,4,5-triphosphate receptor type 1(Itpr1)(r=-0.751,P=3.34e-10)、gamma-aminobutyric acid type A receptor subunit delta(Gabrd)(r=-0.836,P=3.93e-14)、γ-aminobutyric acid A receptor β1 subunit gene(Gabrb1)(r=0.732,P=1.50e-09)and adrenoceptor alpha 2A(Adra2a)(r=0.759,P=1.73e-10).The results of qPCR analysis showed that the mRNA levels of Hap1(P<0.05)、Gabrb1 and Adra2a were significantly up-regulated(P<0.01)while those of Itpr1 and Gabrd were significantly down-regulated(P<0.01).CONCLUSION Acute sleep deprivation leads to down-regulation of Cadm1 expression in the amygdala,and induces anxiety-like behaviors by affecting the expression of GABAergic synaptic signaling pathways Hap1,Gabrb1,Adra2a,Itpr1 and Gabrd.

This study aims to analyze the screening results and epidemiological characteristics of prostate cancer (PCa) among elderly males in the rural areas of Songjiang, Shanghai City, through the implementation of a preliminary prostate-specific antigen (PSA) screening based on a community-linkage model, and to explore an effective screening approach. A retrospective observational study design was employed to collect data from residents who underwent PSA screening at Songjiang Hospital affiliated to Shanghai Jiao Tong University School of Medicine, in collaboration with multiple community health service centers in Songjiang District, Shanghai City, between June 2022 and June 2024, through free clinics and annual health examinations. Prostate biopsy was recommended for individuals with total PSA (tPSA) levels >10 ng/ml and those with 4 ng/ml≤tPSA≤10 ng/ml and abnormal free-to-total PSA (f/tPSA) ratios. Clinical characteristics of detected PCa patients were analyzed. Follow-up was conducted through phone calls and home visits by family doctors, coupled with enhanced health education. The results indicated that a total of 17 198 residents participated in the screening, among which 2 234 (12.99%) had tPSA levels between 4 ng/ml and 10 ng/ml, and 257 (1.49%) had tPSA levels >10 ng/ml. Ultimately, 417 residents underwent prostate biopsy, with 171 being diagnosed with PCa, yielding a positive biopsy rate of 41.00% and a PCa detection rate of 0.99%. The predominant pathological subtype among PCa patients was adenocarcinoma (168 cases, 98.24%). Of the 146 PCa patients who received treatment, the majority were classified as intermediate or high-risk (124 cases, 84.93%). Furthermore, with the optimization of the screening model, there was a significant increase in the proportion of subsequent outpatient visits. In conclusion, the community-linkage-based PSA screening model demonstrated high effectiveness in screening for PCa among elderly males in the rural areas of Songjiang, Shanghai City. Epidemiological findings revealed that PCa patients in this region are primarily composed of intermediate and high-risk groups, highlighting the need for intensified early screening and health education.

OBJECTIVE To explore the possible molecular mechanism through which amygdala cell adhesion molecule-1(CADM1)is involved in acute sleep deprivation-induced anxiety.METHODS Sixteen 8-week-old C57BL/6J mice were randomly divided into the control group and para-chlorophe-nylalanine(PCPA)-induced acute sleep deprivation experimental group.The PCPA mice were intraperi-toneally injected with PCPA suspension(at a dose of 300 mg?kg-1)between 8∶00 and 9∶00 am for 2 consecutive days while the control mice were injected with the same dose of normal saline.The sleep latency and sleep duration of mice were detected via the righting reflex test.Anxiety-like behaviors were detected by the open field test and elevated plus maze test.The expression level of CADM1 in the mouse amygdala was detected by Western Blot and Immunofluorescence staining.The GeneNet-work database was used to analyze the association between Cadm1 genes and other genes in the mouse amygdala.The key candidate regulatory genes were screened,and the Cadm1-anxiety behavior phenotype network was constructed.The mRNA expression levels of the key candidate regulatory genes were analyzed via qPCR analysis.RESULTS Compared with the control mice,the sleep latency of PCPA mice was significantly prolonged(P<0.01)while the sleep duration was significantly shortened(P<0.01).The activity time and distance of PCPA mice in the open field center were significantly shorter than those of the control group(P<0.05).The elevated plus maze experiment showed that the percentage of the number of times PCPA mice entered the open arm and the percentage of residence time in the open arm were significantly lower than those of the control group(P<0.05).Western Blot and immuno-fluorescence staining showed that the expression of CADM1 protein in the amygdala from PCPA mice was down-regulated compared with the control mice(P<0.05).Based on gene-behavioral association network analysis,Cadm1 was significantly associated with 25 anxiety-like behavior-related genes.The enrichment analysis of Cadm1 co-expression genes showed that Cadm1 was associated with γ-amino-butyric acid GABAergic synaptic pathway(P=4.31e-09),and that the key genes were huntingtin associ-ated protein 1(Hap1)(r=0.705,P=1.09e-08)、inositol 1,4,5-triphosphate receptor type 1(Itpr1)(r=-0.751,P=3.34e-10)、gamma-aminobutyric acid type A receptor subunit delta(Gabrd)(r=-0.836,P=3.93e-14)、γ-aminobutyric acid A receptor β1 subunit gene(Gabrb1)(r=0.732,P=1.50e-09)and adrenoceptor alpha 2A(Adra2a)(r=0.759,P=1.73e-10).The results of qPCR analysis showed that the mRNA levels of Hap1(P<0.05)、Gabrb1 and Adra2a were significantly up-regulated(P<0.01)while those of Itpr1 and Gabrd were significantly down-regulated(P<0.01).CONCLUSION Acute sleep deprivation leads to down-regulation of Cadm1 expression in the amygdala,and induces anxiety-like behaviors by affecting the expression of GABAergic synaptic signaling pathways Hap1,Gabrb1,Adra2a,Itpr1 and Gabrd.

Objective:To explore the factors influencing the recovery of swallowing function after a brainstem hemorrhage and to construct a prediction model.Methods:Clinical data on 134 persons with dysphagia after a brainstem hemorrhage were collected retrospectively. According to their swallowing ability at discharge, the patients were divided into a swallowing recovery group and a non-recovery group. Univariate correlation analysis and multivariate logistic regression analysis were used to explore the independent factors influencing the recovery of swallowing function and to construct a prediction nomogram. The receiver operating characteristics (ROC) curves were evaluated to analyze the nomogram′s predictive value and those of the relevant influencing factors.Results:Sixty-two of the patients (46%) had recovered their swallowing function at discharge, while 72 (54%) had not. Univariate correlation analysis showed that there had been significant differences in tracheal intubation, NIHSS score, FOIS score, Barthel index and Glasgow coma scale (GCS )score between the two groups, on average. The multivariate logistic regressions showed that a low NIHSS score, a high FOIS score and a high GCS score were independent predictors of swallowing function recovery, so they were used in the prediction model. ROC curve analysis showed that the area under the curve (AUC) of the prediction model was 0.953 (95% CI: 0.902~0.982) with a sensitivity of 87% and a specificity of 93%. The model′s predictions were thus better than using an NIHSS score, GCS score or FOIS score alone. Conclusions:NIHSS score, GCS score and FOIS score can independently predict the recovery of swallowing function after a brainstem hemorrhage. A prediction model constructed using all three has good predictive power.