Objective:To analyze differences in the expression of routine laboratory parameters and cerebrospinal fluid (CSF) examination indicators between patients with non-neurosyphilis (syphilis without nervous system involvement) and those with neurosyphilis, to screen for key predictive factors, and to construct a predictive model for neurosyphilis.Methods:A retrospective analysis was conducted on the clinical data from patients with syphilis at the Fifth People's Hospital of Suzhou from 2019 to 2024. Patients with neurosyphilis and non-neurosyphilis who were hospitalized from November 2019 to June 2022 were included in the model cohort, and those hospitalized from January 2024 to October 2024 were included in the validation cohort. The patients' basic information and laboratory test indicators (including routine blood tests, CSF biochemical analysis, and syphilitic antibody tests) were collected. Statistical analysis was performed using the GraphPad software. The receiver operating characteristic (ROC) curve and the binary logistic regression method were used to analyze the predictive performance of key indicators in patients from the model cohort with SPSS software, and a predictive model for neurosyphilis was constructed. The performance of the neurosyphilis predictive model for neurosyphilis was validated based on relevant indicators from the validation cohort.Results:The model cohort included 99 patients with non-neurosyphilis (including 49 males and 50 females), and they were aged between 19 and 85 years, with an average age of 47 years; 69 patients with neurosyphilis were also included in the model cohort, including 58 males and 11 females, and they were aged between 26 and 73 years, with an average age of 51 years. The neurosyphilis group showed a significant increase in the median levels of CSF adenosine deaminase (1 U/L) and microprotein (711 mg/L), white blood cell counts (0.009 × 10?/L), as well as in the proportion of positive Pandy tests (35/69, 50.7%) compared with the non-neurosyphilis group (0 U/L, 309 mg/L, 0.002 × 10?/L, 2 /99 [2.0%], respectively, all P < 0.001). Based on the ROC curve analysis, the CSF microprotein and white blood cell count had relatively high discriminative ability (area under the ROC curve [AUC] > 0.85), while adenosine deaminase and the Pandy test showed moderate discriminative ability (0.7 < AUC < 0.85). According to the above four indicators, the logistic regression analysis showed that CSF microprotein combined with CSF white blood cell counts could construct the best predictive model for neurosyphilis, with a prediction accuracy rate of 0.980, a sensitivity of 98.5%, and a specificity of 89.9%. The prediction formula was logit (p) = -9.926 + 0.015 × microprotein + 362.33 × CSF white blood cell count, with a cutoff value of ≥ -0.867. The validation cohort enrolled 72 patients with non-neurosyphilis and 51 with neurosyphilis, and there were significant differences in CSF microprotein levels and white blood cell counts between the two groups (both P < 0.001). In the validation cohort, the predictive model demonstrated an accuracy of 86.2%, with a sensitivity of 83.6% and a specificity of 91.1% for predicting neurosyphilis. Conclusion:The predictive model for neurosyphilis constructed by combining CSF microprotein and CSF white blood cell count may contribute to the early differential diagnosis of neurosyphilis.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

Objective:To investigate the feasibility of the ultrasound "triangular method" in evaluating the morphology of the aortic arch in normal mid-to-late trimester fetuses，establish the gestational age-specific reference ranges for its morphological parameters，and to analyze their correlations with gestational age（GA）and cardiac valve annulus diameters.Methods:A prospective study was conducted on 317 normal singleton fetuses at 20-38 +6 weeks of gestation from the Second Xiangya Hospital of Central South University. Morphological parameters including arch length（a+b），arch width（w），arch height（h）and arch angle（θ）were measured using the "triangular method" in the aortic arch long-axis view. Arch tortuosity（a+b/w）and height-to-width ratio（h/w）were calculated. Linear regression was used to analyze correlations between arch length，width，height and GA，the reference intervals were established. Pearson correlation was applied to assess relationships between angle，tortuosity，height-to-width ratio and GA，cardiac valve annulus diameters（aortic，pulmonary，mitral，tricuspid）. Results:Aortic arch length，width and height showed strong positive correlations with GA（ r = 0.88，0.88，0.85；all P < 0.001）. The arch angle，tortuosity，and height-to-width ratio were independent of GA（all P > 0.05），with reference values of（69.2 ± 6.1）°，1.7 ± 0.1，and 0.7 ± 0.1，respectively. These parameters also showed no significant correlations with cardiac valve annulus diameters（all P > 0.05）. Conclusions:The ultrasound "triangular method" systematically quantifies fetal aortic arch morphology. The stability of arch angle，tortuosity and height-to-width ratio during mid-to-late gestation may provide a morphological benchmark for prenatal screening of aortic arch anomalies.

Objective:To analyze differences in the expression of routine laboratory parameters and cerebrospinal fluid (CSF) examination indicators between patients with non-neurosyphilis (syphilis without nervous system involvement) and those with neurosyphilis, to screen for key predictive factors, and to construct a predictive model for neurosyphilis.Methods:A retrospective analysis was conducted on the clinical data from patients with syphilis at the Fifth People's Hospital of Suzhou from 2019 to 2024. Patients with neurosyphilis and non-neurosyphilis who were hospitalized from November 2019 to June 2022 were included in the model cohort, and those hospitalized from January 2024 to October 2024 were included in the validation cohort. The patients' basic information and laboratory test indicators (including routine blood tests, CSF biochemical analysis, and syphilitic antibody tests) were collected. Statistical analysis was performed using the GraphPad software. The receiver operating characteristic (ROC) curve and the binary logistic regression method were used to analyze the predictive performance of key indicators in patients from the model cohort with SPSS software, and a predictive model for neurosyphilis was constructed. The performance of the neurosyphilis predictive model for neurosyphilis was validated based on relevant indicators from the validation cohort.Results:The model cohort included 99 patients with non-neurosyphilis (including 49 males and 50 females), and they were aged between 19 and 85 years, with an average age of 47 years; 69 patients with neurosyphilis were also included in the model cohort, including 58 males and 11 females, and they were aged between 26 and 73 years, with an average age of 51 years. The neurosyphilis group showed a significant increase in the median levels of CSF adenosine deaminase (1 U/L) and microprotein (711 mg/L), white blood cell counts (0.009 × 10?/L), as well as in the proportion of positive Pandy tests (35/69, 50.7%) compared with the non-neurosyphilis group (0 U/L, 309 mg/L, 0.002 × 10?/L, 2 /99 [2.0%], respectively, all P < 0.001). Based on the ROC curve analysis, the CSF microprotein and white blood cell count had relatively high discriminative ability (area under the ROC curve [AUC] > 0.85), while adenosine deaminase and the Pandy test showed moderate discriminative ability (0.7 < AUC < 0.85). According to the above four indicators, the logistic regression analysis showed that CSF microprotein combined with CSF white blood cell counts could construct the best predictive model for neurosyphilis, with a prediction accuracy rate of 0.980, a sensitivity of 98.5%, and a specificity of 89.9%. The prediction formula was logit (p) = -9.926 + 0.015 × microprotein + 362.33 × CSF white blood cell count, with a cutoff value of ≥ -0.867. The validation cohort enrolled 72 patients with non-neurosyphilis and 51 with neurosyphilis, and there were significant differences in CSF microprotein levels and white blood cell counts between the two groups (both P < 0.001). In the validation cohort, the predictive model demonstrated an accuracy of 86.2%, with a sensitivity of 83.6% and a specificity of 91.1% for predicting neurosyphilis. Conclusion:The predictive model for neurosyphilis constructed by combining CSF microprotein and CSF white blood cell count may contribute to the early differential diagnosis of neurosyphilis.

OBJECTIVE To understand the prevalence of non-bacterial pathogens infections among the children who were hospitalized in pediatrics department due to acute respiratory tract infections(ARTI)from 2020 to 2024.METHODS The children who were hospitalized in pediatrics department of Lishui People's Hospital due to ARTI from Mar.2020 to Feb.2024 were enrolled in the study,the results of tests of 13 items of respiratory tract patho-gens for the children were retrospectively analyzed.The positive isolation rates of respiratory tract pathogens and epidemiological characteristics were observed and compared among the children according to the gender,age and season.RESULTS A total of 12,291 children were enrolled in the study,6508 of whom were tested positive for re-spiratory tract pathogens,and the total positive isolation rate was 52.95％.Rhinovirus(HRV),Mycoplasma pneumoniae and respiratory syncytial virus(RSV)ranked the top 3 pathogens tested positive.The total positive rate of isolation of the male children was 54.43％(3707/6810),higher than 51.10％(2801/5481)of the female children(x2=13.524,P＜0.001);the positive rates of HRV and RSV of the male children were higher than those of the female children(P＜0.05),while the positive rate of MP of the female children was higher than that of the male children(P＜0.05).There was significant difference in the total positive rate of isolation of respirato-ry tract pathogens among the age groups(x2=59.924,P＜0.001).The positive rates of RSV,HRV and MP of the infant group,the toddler group,the preschool age group and the school age group were relatively high.The total positive rate of isolation of the respiratory tract pathogens showed an upward trend with the change of sea-sons(x2=145.887,P＜0.001);there was significant difference in the prevalence of pathogens among the seasons(P＜0.05).CONCLUSIONS HRV,MP and RSV are dominant among the respiratory tract non-bacterial patho-gens isolated from the children who are hospitalized in Lishui People's Hospital from 2020 to 2024.There are sig-nificant differences in the positive rates of the respiratory tract pathogens among the genders,age,and seasons.

Objective:To investigate the relationship between visual recovery and non-treponemal serologic test titers [tolulized red unheated serum test (TRUST) or rapid plasma reagin (RPR)] in patients with isolated ocular syphilis and those with ocular syphilis combined with neurosyphilis.Methods:A total of 35 ocular syphilis patients treated at the Department of Ophthalmology, the First Affiliated Hospital of Soochow University, and the Department of Dermatology, the Fifth People′s Hospital of Suzhou between 2016 and 2024 were enrolled. Pre-treatment serum TRUST/RPR and treponema pallidum particle agglutination (TPPA) assay results were collected for all 35 patients. Cerebrospinal fluid (CSF) biochemical, routine, TRUST/RPR, and TPPA results were obtained for 29 patients. Visual acuity (logMAR) before and after treatment was recorded for 21 patients (34 eyes). Pearson or Spearman correlation analysis was used to assess the relationship between pre-and post-treatment visual acuity, degree of visual recovery, and serum titers.Results:No significant differences in titer distribution were observed among the 35 ocular syphilis patients based on age or sex ( P>0.05). Among the 29 patients who underwent lumbar puncture, 17(58.62%) were diagnosed with ocular syphilis combined with neurosyphilis, while 12(41.38%) had isolated ocular syphilis. The proportion of patients with high pre-treatment serum titers did not differ significantly between the two groups ( P=0.294). The degree of post-treatment visual recovery showed a positive correlation with pre-treatment serum titers, indicating that higher initial titers were associated with better visual recovery (34 eyes, r=-0.302, P=0.081). Post-treatment visual acuity was positively correlated with pre-treatment visual acuity (34 eyes, r=0.547, P=0.001), suggesting that patients with poor baseline vision had worse post-treatment visual outcomes. The median visual improvement was logMAR 0.560 in the isolated ocular syphilis group and logMAR 0.202 in the neurosyphilis-combined group, with no significant difference between the two ( P=0.322). Conclusions:Ocular syphilis patients with higher pre-treatment titers exhibit better visual recovery, while poor post-treatment visual outcomes are associated with low baseline visual acuity.

OBJECTIVE To understand the prevalence of non-bacterial pathogens infections among the children who were hospitalized in pediatrics department due to acute respiratory tract infections(ARTI)from 2020 to 2024.METHODS The children who were hospitalized in pediatrics department of Lishui People's Hospital due to ARTI from Mar.2020 to Feb.2024 were enrolled in the study,the results of tests of 13 items of respiratory tract patho-gens for the children were retrospectively analyzed.The positive isolation rates of respiratory tract pathogens and epidemiological characteristics were observed and compared among the children according to the gender,age and season.RESULTS A total of 12,291 children were enrolled in the study,6508 of whom were tested positive for re-spiratory tract pathogens,and the total positive isolation rate was 52.95％.Rhinovirus(HRV),Mycoplasma pneumoniae and respiratory syncytial virus(RSV)ranked the top 3 pathogens tested positive.The total positive rate of isolation of the male children was 54.43％(3707/6810),higher than 51.10％(2801/5481)of the female children(x2=13.524,P＜0.001);the positive rates of HRV and RSV of the male children were higher than those of the female children(P＜0.05),while the positive rate of MP of the female children was higher than that of the male children(P＜0.05).There was significant difference in the total positive rate of isolation of respirato-ry tract pathogens among the age groups(x2=59.924,P＜0.001).The positive rates of RSV,HRV and MP of the infant group,the toddler group,the preschool age group and the school age group were relatively high.The total positive rate of isolation of the respiratory tract pathogens showed an upward trend with the change of sea-sons(x2=145.887,P＜0.001);there was significant difference in the prevalence of pathogens among the seasons(P＜0.05).CONCLUSIONS HRV,MP and RSV are dominant among the respiratory tract non-bacterial patho-gens isolated from the children who are hospitalized in Lishui People's Hospital from 2020 to 2024.There are sig-nificant differences in the positive rates of the respiratory tract pathogens among the genders,age,and seasons.

Objective:To investigate the relationship between visual recovery and non-treponemal serologic test titers [tolulized red unheated serum test (TRUST) or rapid plasma reagin (RPR)] in patients with isolated ocular syphilis and those with ocular syphilis combined with neurosyphilis.Methods:A total of 35 ocular syphilis patients treated at the Department of Ophthalmology, the First Affiliated Hospital of Soochow University, and the Department of Dermatology, the Fifth People′s Hospital of Suzhou between 2016 and 2024 were enrolled. Pre-treatment serum TRUST/RPR and treponema pallidum particle agglutination (TPPA) assay results were collected for all 35 patients. Cerebrospinal fluid (CSF) biochemical, routine, TRUST/RPR, and TPPA results were obtained for 29 patients. Visual acuity (logMAR) before and after treatment was recorded for 21 patients (34 eyes). Pearson or Spearman correlation analysis was used to assess the relationship between pre-and post-treatment visual acuity, degree of visual recovery, and serum titers.Results:No significant differences in titer distribution were observed among the 35 ocular syphilis patients based on age or sex ( P>0.05). Among the 29 patients who underwent lumbar puncture, 17(58.62%) were diagnosed with ocular syphilis combined with neurosyphilis, while 12(41.38%) had isolated ocular syphilis. The proportion of patients with high pre-treatment serum titers did not differ significantly between the two groups ( P=0.294). The degree of post-treatment visual recovery showed a positive correlation with pre-treatment serum titers, indicating that higher initial titers were associated with better visual recovery (34 eyes, r=-0.302, P=0.081). Post-treatment visual acuity was positively correlated with pre-treatment visual acuity (34 eyes, r=0.547, P=0.001), suggesting that patients with poor baseline vision had worse post-treatment visual outcomes. The median visual improvement was logMAR 0.560 in the isolated ocular syphilis group and logMAR 0.202 in the neurosyphilis-combined group, with no significant difference between the two ( P=0.322). Conclusions:Ocular syphilis patients with higher pre-treatment titers exhibit better visual recovery, while poor post-treatment visual outcomes are associated with low baseline visual acuity.

Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P＜0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.

Objective:To investigate the feasibility of the ultrasound "triangular method" in evaluating the morphology of the aortic arch in normal mid-to-late trimester fetuses，establish the gestational age-specific reference ranges for its morphological parameters，and to analyze their correlations with gestational age（GA）and cardiac valve annulus diameters.Methods:A prospective study was conducted on 317 normal singleton fetuses at 20-38 +6 weeks of gestation from the Second Xiangya Hospital of Central South University. Morphological parameters including arch length（a+b），arch width（w），arch height（h）and arch angle（θ）were measured using the "triangular method" in the aortic arch long-axis view. Arch tortuosity（a+b/w）and height-to-width ratio（h/w）were calculated. Linear regression was used to analyze correlations between arch length，width，height and GA，the reference intervals were established. Pearson correlation was applied to assess relationships between angle，tortuosity，height-to-width ratio and GA，cardiac valve annulus diameters（aortic，pulmonary，mitral，tricuspid）. Results:Aortic arch length，width and height showed strong positive correlations with GA（ r = 0.88，0.88，0.85；all P < 0.001）. The arch angle，tortuosity，and height-to-width ratio were independent of GA（all P > 0.05），with reference values of（69.2 ± 6.1）°，1.7 ± 0.1，and 0.7 ± 0.1，respectively. These parameters also showed no significant correlations with cardiac valve annulus diameters（all P > 0.05）. Conclusions:The ultrasound "triangular method" systematically quantifies fetal aortic arch morphology. The stability of arch angle，tortuosity and height-to-width ratio during mid-to-late gestation may provide a morphological benchmark for prenatal screening of aortic arch anomalies.