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 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 evaluate the clinical effectiveness and safety of fractional microneedle radiofrequency (RF), subsequently followed by narrowband intense pulsed light (IPL), in the treatment of facial photoaging.Methods:A retrospective analysis was performed on 50 female patients who underwent facial photodamage treatment at the Fifth People＇s Hospital of Suzhou from January to December 2021, with an average age of (40±8) years. Each patient received fractional microneedle RF therapy, subsequently followed by two sessions of narrowband IPL therapy at 500-600 nm, with a 4-week interval between treatments. Before and 4 weeks after the final treatment, skin parameters including wrinkles, redness, and sunspots were quantitatively assessed using the Visia skin image analyzer. Patients self-reported their satisfaction levels, and any adverse reactions were recorded.Results:All patients completed the prescribed treatment regimen. Post-treatment evaluations revealed marked improvements in facial skin, characterized by reduced wrinkles, enhanced skin smoothness, tighter contours, and lighter pigmentation spots. Specifically, the pre-treatment scores for wrinkles, sunspots, and redness were (25.6±10.2), (312.6±75.9), and (162.0±68.6) scores, respectively, which significantly decreased to (18.3±7.4), (261.2±82.7), and (129.7±60.1) scores four weeks post-treatment (all P<0.001). The patients＇ satisfaction levels were (6.6±1.2) scores. During treatment, all patients experienced mild erythema and edema, which resolved within 3-4 days. No serious adverse reactions, such as blistering, hyperpigmentation, or scarring, were observed. Conclusions:Fractional microneedle RF therapy, followed by narrowband IPL therapy, emerges as an effective and safe treatment option for facial photodamage, with minimal adverse reactions.

Objective:To investigate the effect of exclusive enteral nutrition (EEN) on plasma amino acid levels in patients with Crohn′s disease (CD) .Methods:Adult patients with moderate to severe active CD in the Sixth Affiliated Hospital of Sun Yat-sen University from December 1, 2020 to December 31, 2021 were prospectively recruited. All the participants received nasogastric EEN monotherapy for 8 weeks. Patients were divided into clinical response group and non-response group according to CD activity index (CDAI). Clinical data were collected from all the participants before and after EEN. Targeted metabolomics was used to detect and analyze the changes of 25 amino acids levels in plasma in CD patients before and after EEN, as well as the differences between response group and non-response group.Results:Thirteen patients were included in the study. The clinical remission rate reached 69.2% (9/13) after 8 weeks of EEN treatment. Compared with pre-treatment, the plasma levels of tryptophan, threonine, alanine, proline and cysteine in CD patients were significantly higher after EEN treatment. At week 8 after EEN, tryptophan metabolites including indole acetic acid and indole acetamide were significantly lower in patients with clinical remission compared to patients without remission. Correlation analysis showed the plasma levels of tryptophan was negatively correlated with CDAI and erythrocyte sedimentation rate (ESR), and the level of kynurenine was negatively correlated with ESR.Conclusion:EEN therapy is an effective way to induce clinical remission in active CD patients. After EEN, plasma levels of tryptophan, threonine, alanine, proline and cysteine are significantly increased. Tryptophan and cysteine metabolisms may be the key pathways leading to the efficacy of EEN treatment.

Objective:To investigate the effect of exclusive enteral nutrition (EEN) on plasma amino acid levels in patients with Crohn′s disease (CD) .Methods:Adult patients with moderate to severe active CD in the Sixth Affiliated Hospital of Sun Yat-sen University from December 1, 2020 to December 31, 2021 were prospectively recruited. All the participants received nasogastric EEN monotherapy for 8 weeks. Patients were divided into clinical response group and non-response group according to CD activity index (CDAI). Clinical data were collected from all the participants before and after EEN. Targeted metabolomics was used to detect and analyze the changes of 25 amino acids levels in plasma in CD patients before and after EEN, as well as the differences between response group and non-response group.Results:Thirteen patients were included in the study. The clinical remission rate reached 69.2% (9/13) after 8 weeks of EEN treatment. Compared with pre-treatment, the plasma levels of tryptophan, threonine, alanine, proline and cysteine in CD patients were significantly higher after EEN treatment. At week 8 after EEN, tryptophan metabolites including indole acetic acid and indole acetamide were significantly lower in patients with clinical remission compared to patients without remission. Correlation analysis showed the plasma levels of tryptophan was negatively correlated with CDAI and erythrocyte sedimentation rate (ESR), and the level of kynurenine was negatively correlated with ESR.Conclusion:EEN therapy is an effective way to induce clinical remission in active CD patients. After EEN, plasma levels of tryptophan, threonine, alanine, proline and cysteine are significantly increased. Tryptophan and cysteine metabolisms may be the key pathways leading to the efficacy of EEN treatment.

Objective:To evaluate the effect of evidence-based nursing practice for functional rehabilitation of post-stroke neurogenic bladder (PSNB) .Methods:From October 2020 to July 2021, 136 PSNB patients admitted to the Department of Neurology, Jiangyin People's Hospital were selected by convenience sampling as the research object. According to the random number table method, the patients were divided into the study group and the control group, with 68 cases in each group. The control group received routine rehabilitation nursing, while the study group was given evidence-based rehabilitation nursing based on the control group. The urodynamics, rates of bladder balance, urinary incontinence and urinary retention after intervention were compared between the two groups.Results:After three months of intervention, bladder compliance and bladder balance rate in the study group were higher than those in the control group, and the residual urine volume was less than that in the control group, with statistical differences ( P<0.05) . After three months of intervention, urinary retention rate in the study group was lower than that in the control group, and the difference was statistically significant ( P<0.05) . Conclusions:Evidence-based rehabilitation nursing can help to promote the rapid recovery of bladder balance in PSNB patients and improve the prognosis of patients.

Poor ovarian response (POR) is a reproductive endocrinology disease that seriously affects the number of oocytes retrieved and reduces the success rate of in vitro fertilization (IVF). The double stimulation protocol utilizes the principle of ovarian stimulation in both the follicular and luteal phase. By retrieving oocytes within one menstrual cycle, more oocytes can be obtained in a fairly short period of time. Therefore, to further explore this new ovarian stimulation protocol may help to provide better treatment strategies for POR patients. This paper reviews the definition of POR, the mechanism and developments of double stimulation, and its application in POR patients.

Poor ovarian response (POR) is a reproductive endocrinology disease that seriously affects the number of oocytes retrieved and reduces the success rate of in vitro fertilization (IVF). The double stimulation protocol utilizes the principle of ovarian stimulation in both the follicular and luteal phase. By retrieving oocytes within one menstrual cycle, more oocytes can be obtained in a fairly short period of time. Therefore, to further explore this new ovarian stimulation protocol may help to provide better treatment strategies for POR patients. This paper reviews the definition of POR, the mechanism and developments of double stimulation, and its application in POR patients.