Objective:To investigate the effects of risperidone combined with metformin on homocysteine levels and glycolipid metabolism in patients with schizophrenia.Methods:A randomized controlled study was conducted involving 124 patients with schizophrenia who received treatment at Quzhou Third Hospital from January 2022 to June 2023. The patients were divided into a study group and a control group, with 62 patients in each group, based on a random number table. The study group was treated with risperidone combined with metformin, while the control group received risperidone treatment along with a placebo of the same dose as metformin. The treatment duration for both groups was 3 months. Clinical efficacy was evaluated, and changes in homocysteine levels and glycolipid metabolism were measured before and after treatment.Results:The difference in overall efficacy between the two groups was not statistically significant ( P = 0.697). After treatment, the homocysteine levels in the study group [(15.26 ± 2.11) μmol/L] were significantly lower than those in the control group [(19.01 ± 2.04) μmol/L, t = 9.87, P < 0.001]. The fasting blood glucose [(6.15 ± 0.57) mmol/L], 2-hour postprandial blood glucose [(12.41 ± 2.67) mmol/L], fasting insulin [(24.23 ± 3.21) μIU/mL], and total cholesterol [(6.04 ± 1.39) mmol/L] in the study group were all higher than those in the control group [(4.93 ± 0.45) mmol/L, (10.68 ± 2.46) mmol/L, (22.93 ± 3.05) μIU/mL, (0.91 ± 0.12) mmol/L, t = -13.23, -3.75, -2.31, -6.24, all P < 0.05]. The waist-to-hip ratio in the study group was (0.81 ± 0.09), which was significantly lower than that in the control group [(0.91 ± 0.12), t = 5.25, P < 0.001]. There was no significant difference in incidence of adverse reactions between the two groups ( P = 0.081). Conclusions:The combination of risperidone and metformin in the treatment of schizophrenia is beneficial for decreasing patients' homocysteine levels, preventing abnormalities in glycolipid metabolism, and reducing waist-to-hip ratios. This treatment demonstrates good efficacy and safety.

Objective To investigate the value of neutrophil to lymphocyte ratio(NLR)and lymphocyte to monocyte ratio(LMR)in the diagnosis and prognosis of patients with sepsis.Methods From January 2022 to December 2022,patients in the First Affiliated Hospital of Soochow University were recruited in this study,including 47 patients with sepsis(sepsis group),31 with infection but not diagnosed as sepsis(infection group),and 25 healthy individuals(control group)were simultaneously chosen.Patients with sepsis were assigned to non-shock group(32 cases)or shock group(15 cases),survivors group(38 cases)or deaths group(9 cases).Procalcitonin(PCT),C-reactive protein(CRP)and routine blood tests were analyzed and compared between groups.Spearman's correlation test was used to analyze the correlation among NLR,LMR and PCT,PCR,lymphocyte,monocyte,neutrophil,platelet and SOFA scores,the diagnostic value of NLR and LMR in sepsis was evaluated by plotting the receiver operating characteristic(ROC)curve.Results The NLR was 12.54(7.53,23.42)in sepsis group,3.85(1.83,5.64)in infection group,and 1.71(1.39,2.20)in normal control group.The corresponding LMR was 1.58(1.07,3.03),2.81(1.53,4.76),and 5.16(4.04,6.59),respectively.NLR was negatively correlated with LMR(rs=-0.469,P＜0.05).The NLR on day 7(NLR7)was 6.56(3.90,10.72)in the non-shock group and 15.20(7.53,27.31)in shock group.The corresponding △NLR7 was-1.64(-5.75,0.41)and 1.98(-0.48,13.79)in the two groups.The shock group had significantly higher △NLR7 than the non-shock group(P＜0.05).NLR7 was 7.10(4.09,12.96)in the survivors and 15.20(10.45,32.82)in the deaths group.The corresponding △NLR7 was-0.65(-5.58,1.58)and 5.02(-1.12,17.06)in the two groups.The deaths group had significantly higher △NLR7 than the survivors group(P＜0.05).The LMR on day 7(LMR7)was 2.22(1.64,3.78)in the non-shock group and 1.29(0.66,2.03)in shock group.The corresponding △LMR7 was 0.38(-0.37,1.17)and-0.19(-0.78,0.25)in the two groups.The shock group had significantly lower △LMR7 than the non-shock group(P＜0.05).LMR7 was 2.12(1.49,3.42)in the survivors group and 1.09(0.53,1.78)in the deaths group.The deaths group had significantly lower LMR7 than the survivors group(P＜0.05).The AUC of NLR was 0.959 1(95％CI:0.910 5-1.000 0)in diagnosis of sepsis.The best cut-off value was 4.16.The A UC of LMR was 0.913 6(95％CI:0.846 4-0.980 8)in diagnosis of sepsis.The best cut-off value was 3.21.Conclusions NLR and LMR can be used to evaluate the severity and prognosis of patients with sepsis.These two markers may play a role in the diagnosis of sepsis.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.

Objective:To investigate the effects of risperidone combined with metformin on homocysteine levels and glycolipid metabolism in patients with schizophrenia.Methods:A randomized controlled study was conducted involving 124 patients with schizophrenia who received treatment at Quzhou Third Hospital from January 2022 to June 2023. The patients were divided into a study group and a control group, with 62 patients in each group, based on a random number table. The study group was treated with risperidone combined with metformin, while the control group received risperidone treatment along with a placebo of the same dose as metformin. The treatment duration for both groups was 3 months. Clinical efficacy was evaluated, and changes in homocysteine levels and glycolipid metabolism were measured before and after treatment.Results:The difference in overall efficacy between the two groups was not statistically significant ( P = 0.697). After treatment, the homocysteine levels in the study group [(15.26 ± 2.11) μmol/L] were significantly lower than those in the control group [(19.01 ± 2.04) μmol/L, t = 9.87, P < 0.001]. The fasting blood glucose [(6.15 ± 0.57) mmol/L], 2-hour postprandial blood glucose [(12.41 ± 2.67) mmol/L], fasting insulin [(24.23 ± 3.21) μIU/mL], and total cholesterol [(6.04 ± 1.39) mmol/L] in the study group were all higher than those in the control group [(4.93 ± 0.45) mmol/L, (10.68 ± 2.46) mmol/L, (22.93 ± 3.05) μIU/mL, (0.91 ± 0.12) mmol/L, t = -13.23, -3.75, -2.31, -6.24, all P < 0.05]. The waist-to-hip ratio in the study group was (0.81 ± 0.09), which was significantly lower than that in the control group [(0.91 ± 0.12), t = 5.25, P < 0.001]. There was no significant difference in incidence of adverse reactions between the two groups ( P = 0.081). Conclusions:The combination of risperidone and metformin in the treatment of schizophrenia is beneficial for decreasing patients' homocysteine levels, preventing abnormalities in glycolipid metabolism, and reducing waist-to-hip ratios. This treatment demonstrates good efficacy and safety.

Objective To investigate the value of neutrophil to lymphocyte ratio(NLR)and lymphocyte to monocyte ratio(LMR)in the diagnosis and prognosis of patients with sepsis.Methods From January 2022 to December 2022,patients in the First Affiliated Hospital of Soochow University were recruited in this study,including 47 patients with sepsis(sepsis group),31 with infection but not diagnosed as sepsis(infection group),and 25 healthy individuals(control group)were simultaneously chosen.Patients with sepsis were assigned to non-shock group(32 cases)or shock group(15 cases),survivors group(38 cases)or deaths group(9 cases).Procalcitonin(PCT),C-reactive protein(CRP)and routine blood tests were analyzed and compared between groups.Spearman's correlation test was used to analyze the correlation among NLR,LMR and PCT,PCR,lymphocyte,monocyte,neutrophil,platelet and SOFA scores,the diagnostic value of NLR and LMR in sepsis was evaluated by plotting the receiver operating characteristic(ROC)curve.Results The NLR was 12.54(7.53,23.42)in sepsis group,3.85(1.83,5.64)in infection group,and 1.71(1.39,2.20)in normal control group.The corresponding LMR was 1.58(1.07,3.03),2.81(1.53,4.76),and 5.16(4.04,6.59),respectively.NLR was negatively correlated with LMR(rs=-0.469,P＜0.05).The NLR on day 7(NLR7)was 6.56(3.90,10.72)in the non-shock group and 15.20(7.53,27.31)in shock group.The corresponding △NLR7 was-1.64(-5.75,0.41)and 1.98(-0.48,13.79)in the two groups.The shock group had significantly higher △NLR7 than the non-shock group(P＜0.05).NLR7 was 7.10(4.09,12.96)in the survivors and 15.20(10.45,32.82)in the deaths group.The corresponding △NLR7 was-0.65(-5.58,1.58)and 5.02(-1.12,17.06)in the two groups.The deaths group had significantly higher △NLR7 than the survivors group(P＜0.05).The LMR on day 7(LMR7)was 2.22(1.64,3.78)in the non-shock group and 1.29(0.66,2.03)in shock group.The corresponding △LMR7 was 0.38(-0.37,1.17)and-0.19(-0.78,0.25)in the two groups.The shock group had significantly lower △LMR7 than the non-shock group(P＜0.05).LMR7 was 2.12(1.49,3.42)in the survivors group and 1.09(0.53,1.78)in the deaths group.The deaths group had significantly lower LMR7 than the survivors group(P＜0.05).The AUC of NLR was 0.959 1(95％CI:0.910 5-1.000 0)in diagnosis of sepsis.The best cut-off value was 4.16.The A UC of LMR was 0.913 6(95％CI:0.846 4-0.980 8)in diagnosis of sepsis.The best cut-off value was 3.21.Conclusions NLR and LMR can be used to evaluate the severity and prognosis of patients with sepsis.These two markers may play a role in the diagnosis of sepsis.

Objective To construct a risk prediction model for post-stroke dysphagia(PSD)based on clinical and laboratory indicators of elderly stroke patients with explainable machine learning.Methods A retrospective analysis was conducted on 3994 stroke patients hospitalized in Depart-ment of Neurology of First Medical Center of Chinese PLA General Hospital from October 2010 to December 2021.Among them,the 1390 cases admitted during January 2019 and December 2021 were assigned into an external validation set,and the 2604 cases admitted during October 2010 to January 2019 were into a training group.Those from the training group were further divided into a training set(1823 cases)and an internal validation set(781 cases)in a 7∶3 ratio,and also grouped into a PSD subgroup(773 cases)and a non-PSD group(1831 cases).With occurrence of swallowing difficulties as an endpoint,risk prediction models were constructed using random for-est(RF),eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM),and logistic regression.ROC curve analysis was employed to evaluate the performance of our models.After the optimal model was selected,SHAP was employed to interpret feature contributions.Results There were significant differences in muscle strength,right/left-sided stroke,and area of brain in-jury between the PSD and the non-PSD groups(P＜0.01).The PSD group had obviously larger proportions of hypertension,diabetes,and drinking history,increased neutrophil counts,and de-creased levels of potassium and albumin when compared with the non-PSD group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that age,drinking history,diabetes,hyper-tension,muscle strength grade,area of brain injury,hemispheric stroke,neutrophil count,and al-bumin and potassium levels were risk factors for PSD(P＜0.05,P＜0.01).The external validation results showed that the area under curve value of the RF model,XGBoost model,SVM model,and our logistic model was 0.883,0.902,0.877,and 0.868,respectively.The distribution of SHAP value showed that drinking history,hypertension and diabetes were positively correlated with PSD risk;Muscle strength was negatively correlated with the risk;Age growth was positively correlated with the risk;Subtentorial lesions showed stronger predictive efficacy than supratentorial lesions and entire lesions;The bilateral and right-sided stroke had higher risk for PSD than the left-sided stroke.Conclusion The model based on the XGBoost model shows best performance in predicting the risk for swallowing disorders in elderly patients after stroke.

Objective:To investigate the related factors of kidney injury in patients with masked hypertension (MHT).Methods:This study was a cross-sectional study. A total of 311 MHT patients who visited Dongguan Liaobu Community Health Service from June 1,2022 to June 1, 2023 were enrolled in the study. The complete blood biochemistry, urinary microalbumin and 24-hour urinary protein tests were conducted, and the risk factors of renal injury in MHT patients were analyzed with multivariate logistic regression.Results:The age of the 311 enrolled patients was(48.8±9.2)years, with 192 males(61.7%) There were 73 cases with microalbuminuria (MAU), accounting for 23.47% (73/311); and 28 cases of positive 24-hour urine total protein (24-hour UTP), accounted for 9.00% (28/311). Multivariate logistic regression analysis showed that fasting blood glucose level and mean nocturnal systolic blood pressure were independent risk factors of positive MAU in MHT patients ( OR=1.577, 95% CI: 1.049-2.370, P=0.030; OR=1.024, 95% CI: 1.001-1.047, P=0.038), while older age was a protective factor of MAU ( OR=0.965, 95% CI: 0.935-0.997, P=0.030); mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure were independent risk factors of positive 24-hour UTP in MHT patients ( OR=1.031,95% CI: 1.000-1.064, P=0.049; OR=1.048,95% CI: 1.008-1.091, P=0.020; OR=1.042,95% CI: 1.003-1.083, P=0.035). Conclusion:Older age, fasting blood glucose, mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure are associated with the renal injury in MHT patients.

Objective:To develop and validate clinical predictive models for identifying poor short-term response to recombinant human growth hormone(rhGH) treatment in children with short stature.Methods:A retrospective analysis was conducted on 118 children diagnosed with growth hormone deficiency or idiopathic short stature who were treated at the First Affiliated Hospital of Zhengzhou University and two other hospitals between January 1, 2020, and January 1, 2024. A poor response to rhGH was defined as a height increase of less than 0.2 standard deviation score(SDS) after 6 months of rhGH treatment. LASSO regression was used to identify predictive variables from baseline and follow-up data. Two logistic regression models were conducted: Model A(incorporating baseline variables only) and model B(incorporating both baseline and follow-up variables), and nomograms were created for visualization. External data and internal resampling were used for dual validation of the models, and their performance was compared.Results:A total of 118 children with short stature were included. Six baseline predictive variables(diagnosis, initial height SDS, bone age, bone age-chronological age difference, rhGH dose, and gender) and one follow-up variable(height SDS after 3 months of rhGH treatment) were identified. Area under the curve values for Model A and Model B were 0.753(95% CI 0.696-0.811) and 0.930(95% CI 0.891-0.975), respectively. Calibration curves, decision curve analysis, and other evaluation metrics demonstrated good discrimination and clinical utility for both models. Model B, incorporating the 3-month follow-up variable, showed superior predictive performance compared to Model A. Conclusions:The clinical prediction models developed in this study(Model A and Model B) are practical and reliable tools for quantitatively, conveniently, and intuitively identifying children with short stature at risk of poor response to rhGH treatment.

Objective To preliminarily explore the potential efficacy of Xuesaitong Soft Capsule(XST)against post-stroke depression(PSD),and to investigate the material basis of XST's anti-PSD effect based on the metabolomics results to analyze its related pharmacokinetic(PK)characteristics and further analyze the pharmacodynamic(PD)equation of representative ingredients.Methods The initial evaluation of drug effica-cy was conducted by detecting the depressive-like behavior and neurotransmitter levels in rats.The Pearson correlation analysis was employed to analyze the correlation between the main metabolites regulated by XST and the saponin components entering the bloodstream.At various time points after drug administration,the blood concentration of ginsenoside Re and the concentration of norepinephrine(NE)in the serum of PSD rats were measured,and the compartment model was fitted accordingly.Furthermore,the liquid chromatography-mass spectrometry was utilized to determine the content of ginsenoside Re in the liver,spleen,kidney,prefron-tal cortex,hippocampus and striatum of PSD rats.Results Ginsenoside Re showed the optimal correlation by the Pearson correlation analysis.Based on its pharmacokinetic parameters,the pharmacodynamic equation with NE was E=160.462 × Ce/(38.663+Ce).The contents of ginsenoside Re in the liver,spleen,kidney,prefron-tal cortex,hippocampus and striatum of rats were(17.23+11.90),(19.05+5.67),(1.95+0.79),(70.13+6.75),(57.03+3.11),and(72.45+5.45)ng/g,respectively.Conclusion XST could improve the depressive-like behaviors in PSD rats by regulating the expression levels of neurotransmitter NE and 5-HT.Ginsenoside Re may be the pharmacodynamical material foundation for XST's preventative treatment of PSD.

Objective:To investigate the related factors of kidney injury in patients with masked hypertension (MHT).Methods:This study was a cross-sectional study. A total of 311 MHT patients who visited Dongguan Liaobu Community Health Service from June 1,2022 to June 1, 2023 were enrolled in the study. The complete blood biochemistry, urinary microalbumin and 24-hour urinary protein tests were conducted, and the risk factors of renal injury in MHT patients were analyzed with multivariate logistic regression.Results:The age of the 311 enrolled patients was(48.8±9.2)years, with 192 males(61.7%) There were 73 cases with microalbuminuria (MAU), accounting for 23.47% (73/311); and 28 cases of positive 24-hour urine total protein (24-hour UTP), accounted for 9.00% (28/311). Multivariate logistic regression analysis showed that fasting blood glucose level and mean nocturnal systolic blood pressure were independent risk factors of positive MAU in MHT patients ( OR=1.577, 95% CI: 1.049-2.370, P=0.030; OR=1.024, 95% CI: 1.001-1.047, P=0.038), while older age was a protective factor of MAU ( OR=0.965, 95% CI: 0.935-0.997, P=0.030); mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure were independent risk factors of positive 24-hour UTP in MHT patients ( OR=1.031,95% CI: 1.000-1.064, P=0.049; OR=1.048,95% CI: 1.008-1.091, P=0.020; OR=1.042,95% CI: 1.003-1.083, P=0.035). Conclusion:Older age, fasting blood glucose, mean nocturnal systolic pressure, 24-hour mean systolic pressure and mean diurnal systolic pressure are associated with the renal injury in MHT patients.