ObjectiveTo investigate the intervention effects of modified Linggui Zhugan Tang （LGZGT） on patients with obstructive sleep apnea-hypopnea syndrome （OSAHS） of the spleen deficiency and dampness obstruction with blood stasis type， reveal its possible mechanisms， and provide a theoretical basis for the clinical treatment of OSAHS with traditional Chinese medicine （TCM）. MethodsEighty OSAHS patients with spleen deficiency and dampness obstruction with blood stasis were randomly assigned to a control group and an observation group （1∶1） using a random number table， with 40 patients in each group. The control group received standard basic treatment combined with oral Doxofylline tablets， while the observation group received standard basic treatment combined with modified LGZGT. Serum levels of macrophage migration inhibitory factor （MIF）， microRNA-223 （miR-223）， and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of MIF， miR-223， and IL-18 were measured by real-time quantitative polymerase chain reaction （Real-time PCR）. After two months of treatment， the total clinical efficacy， apnea-hypopnea index （AHI）， lowest nocturnal oxygen saturation （LSpO₂）， body mass index （BMI）， TCM syndrome scores， and expression levels of MIF， miR-223， and IL-18 before and after treatment were compared between the two groups. Correlations between MIF， miR-223， IL-18 and AHI and LSpO₂ were also analyzed. ResultsCompared with the control group， the observation group showed a significantly higher total clinical effective rate （P<0.01， Z=-3.49）. Within the control group， no significant changes were observed in AHI， LSpO₂， BMI， TCM syndrome scores， or MIF， miR-223， IL-18 levels and their mRNAs after treatment. In the observation group， AHI， BMI， TCM syndrome scores， and MIF and IL-18 levels and their mRNAs decreased significantly， while LSpO₂ increased significantly （P<0.01）. After treatment， compared with the control group， the observation group exhibited significantly lower AHI， BMI， TCM syndrome scores， and MIF and IL-18 levels and their mRNAs， and significantly higher LSpO₂ （P<0.01）. Correlation analysis showed that MIF and IL-18 were positively correlated with AHI （P<0.01） and negatively correlated with LSpO₂ （P<0.01）， whereas miR-223 was negatively correlated with AHI （P<0.01） and positively correlated with LSpO₂ （P<0.01）. ConclusionModified LGZGT may improve OSAHS of the spleen deficiency and dampness obstruction with blood stasis type by reducing airway inflammatory factors， alleviating airway inflammation， relieving airway edema and stenosis， and improving airway obstruction.

OBJECTIVE: To investigate the steady-state mechanism of interconversion between the SMN1 and SMN2 genes in a normal population. METHODS: Fluorescence PCR capillary electrophoresis was employed to assess gene conversion and copy number variation of SMN1 and SMN2 in a cohort of 1,133 healthy individuals (including 256 males and 877 females) recruited between 2019 and 2023. This study was approved by the Ethics Committee of Henan Provincial People's Hospital (Ethics No.: 2019-134). RESULTS: No significant gender difference was observed in the single copy carrying rate of SMN1. The probability of conversion from SMN1 to SMN2 was determined to be 3.2% for females, 2.7% for males, and 3.1% for the overall population. The probability of conversion from SMN2 to SMN1 was found to be 5.5% for females, 6.3% for males, and 5.6% for the overall population. No statistically significant difference was found in the conversion probability between different genders (P > 0.05). Among the 99 cases of gene conversion, the SMN1 gene predominantly exhibited a copy number of 2 (97.0%), with the remainder having 3 copies (3%). The SMN2 gene primarily showed a copy number of 2 (72.7%), with the rest having 1 copy (27.3%). CONCLUSION Gene conversion tends to normalize the copy numbers of both SMN1 and SMN2 genes towards 2. However, SMN1 exhibited a higher priority over SMN2, causing the copy numbers approaching two.
Humans ; Male ; Female ; Survival of Motor Neuron 2 Protein/genetics* ; Survival of Motor Neuron 1 Protein/genetics* ; Gene Conversion ; DNA Copy Number Variations/genetics* ; Adult ; Middle Aged ; Gene Dosage

Objective:To develop radiomics score (RS) based on 18F-FDG PET/CT, and construct the machine learning model combining clinical and other relevant factors for personalized prediction of 2-year event-free survival (2-EFS) in patients with diffuse large B-cell lymphoma (DLBCL), and to perform interpretability analysis of the model. Methods:A total of 91 patients (49 males, 42 females; age (57.8±12.8) years) with pathologically confirmed DLBCL from December 2017 to December 2020 at the First Hospital of Shanxi Medical University were retrospectively analyzed. According to the ratio of 7∶3, patients were randomly divided into training set ( n=63) and test set ( n=28), and divided into non-progression group and progression group according to the follow-up results. The whole-body PET semi-quantitative parameters were calculated from the PET/CT images before treatment, and 328 radiomics features were extracted from the largest target lesions of patients. The least absolute shrinkage and selection operator (LASSO) was used to develop the RS. Clinical and PET characteristic difference analysis was performed through χ2 test and Mann-Whitney U test. Extreme gradient boosting (XGBoost) models were constructed based on clinical, PET radiomics features and RS, and the prediction efficiency of each model was evaluated by ROC AUC. The model interpretability was analyzed by using shapely additive explanation (SHAP). Results:Of all patients, 32 had disease progression and 59 did not. There were no significant differences in baseline characteristics between the training set and the test set ( χ2 values: 0.06-1.84, U values: 665.00-763.00, all P>0.05). The comparison between the progression group and non-progression group in the training set showed statistical differences in the international prognostic index (IPI) score ( χ2=4.87, P=0.027), myelocytomatosis viral oncogene (MYC) protein expression ( χ2=4.29, P=0.038), and metabolic tumor volume (MTV; U=307.00, P=0.038). Seven radiomics features were screened by LASSO. Among XGBoost models with different feature combinations, IPI score, MYC protein expression, MTV combined with RS had the highest predictive efficiency (training set: AUC=0.73; test set: AUC=0.70). Through SHAP analysis, RS was the most predictive feature in the optimal model. Conclusion:The machine learning integrated model of IPI score, MYC protein expression and MTV combined with RS can effectively predict the prognosis of DLBCL patients, and baseline 18F-FDG PET/CT radiomics can be used as a potential means to evaluate the prognosis of DLBCL patients.

Objective:To investigate the steady-state mechanism of interconversion between the SMN1 and SMN2 genes in a normal population. Methods:Fluorescence PCR capillary electrophoresis was employed to assess gene conversion and copy number variation of SMN1 and SMN2 in a cohort of 1, 133 healthy individuals (including 256 males and 877 females) recruited between 2019 and 2023. This study was approved by the Ethics Committee of Henan Provincial People′s Hospital (Ethics No.: 2019-134). Results:No significant gender difference was observed in the single copy carrying rate of SMN1. The probability of conversion from SMN1 to SMN2 was determined to be 3.2% for females, 2.7% for males, and 3.1% for the overall population. The probability of conversion from SMN2 to SMN1 was found to be 5.5% for females, 6.3% for males, and 5.6% for the overall population. No statistically significant difference was found in the conversion probability between different genders ( P>0.05). Among the 99 cases of gene conversion, the SMN1 gene predominantly exhibited a copy number of 2 (97.0%), with the remainder having 3 copies (3%). The SMN2 gene primarily showed a copy number of 2 (72.7%), with the rest having 1 copy (27.3%). Conclusion:Gene conversion tends to normalize the copy numbers of both SMN1 and SMN2 genes towards 2. However, SMN1 exhibited a higher priority over SMN2, causing the copy numbers approaching two.

Objective To construct a patient decision aid(PtDA)for exercise training in pa-tients with chronic obstructive pulmonary disease(COPD)and explore its impacts on decision-making quality of patients' exercise regimens.Methods The development of the PtDA for exercise training in COPD patients was accomplished through literature analysis,the Delphi method,and user surveys,followed by an intervention study.A total of 59 inpatients with COPD were included as study sub-jects.The control group received routine care along with general exercise training guidance,while the intervention group received routine care combined with shared decision-making for exercise training based on the PtDA.The decision conflict and decision preparedness levels of patients in both groups were compared before the intervention and on the day of discharge.The exercise self-efficacy of pa-tients was measured before intervention,on the day of discharge,and 1 month and 3 months after dis-charge.Results The intervention group had significantly lower scores for decision conflict and signif-icantly higher scores for decision preparedness and exercise self-efficacy compared with the control group(P＜0.05).Conclusion The PtDA for exercise training can improve decision conflict and de-cision preparedness in COPD patients,enhance their exercise self-efficacy levels,and provide references for healthcare professionals in improving exercise adherence.

Objective:To explore the influencing factors of hematoma enlargement in patients with hypertensive intracerebral hemorrhage and construct a corresponding risk prediction nomogram. The screening effects of the constructed model and different hematoma enlargement risk assessment tools were compared and analyzed.Methods:Two hundred and thirty-two patients with hypertensive intracerebral hemorrhage from the Department of Neurosurgery, Lianyungang First People's Hospital from April 2021 to February 2022 were selected as the research subjects. Multivariate Logistic regression was used to analyze the risk factors of hematoma expansion in patients with hyperhemamic intracerebral hemorrhage, and R software was used to construct a nomo diagram. The receiver operating characteristic curve (ROC) and Hosmer-Lemeshow (H-L) goodness-of-fit were used to evaluate the discrimination and calibration of the model, and the decision curve was used to analyze the clinical validity of the model. The constructed Nomo diagram, nine-point method and BRAIN score were used to assess the risk of hematoma enlargement in the included patients and used them as test variables, and the ROC curve was plotted to compare and analyze the area under the ROC curve, sensitivity and specificity of the constructed Nomo diagram, nine-point method and BRAIN score. The Kappa test was used to analyze the consistency between the Nomo diagram, the nine-point method, and the BRAIN score and the hematoma expansion results.Results:The results of multivariate logistic regression analysis showed that blood pressure was poorly controlled ( OR=13.290, 95% CI: 3.676-48.049), ventricular penetration ( OR=4.825, 95% CI: 1.458-15.975), early neurological deterioration ( OR=27.740, 95% CI: 8.713-88.314), Glasgow Coma Scale(GCS)≤8 points ( OR=25.883, 95% CI: 6.542-102.404) was the main influencing factor for hematoma expansion in patients with hypertensive intracerebral hemorrhage (The P values were <0.001, 0.010, <0.001, and <0.001, respectively). The H-L test results of Nomogram for predicting hematoma enlargement were χ2=3.20, P=0.525, the calibration curve was close to the ideal curve, and the mean absolute error was 0.015, and the decision curve analysis showed that the model had good clinical validity. The ROC results showed that the area under the ROC curve of the constructed Neumo diagram, nine-point method and BRAIN score were 0.971 (95% CI: 0.941-0.989), 0.696 (95% CI: 0.632-0.755), and 0.778 (95% CI: 0.719-0.830)(all P<0.001). The sensitivities were 94.37%, 71.83%, and 84.51%, and the specificities were 90.68%, 58.39%, and 65.84%, respectively. The results of Kappa test showed that the Kappa values of Nuomo diagram, nine-point method and BRAIN score were 0.806 , 0.264 and 0.429 (all P<0.001). Conclusion:The main influencing factors of hematoma enlargement in patients with hypertensive intracerebral hemorrhage were poor blood pressure control, intraventricular hemorrhage, early neurological deterioration, and GCS score. The effect of the constructed Nuomo diagram model in predicting hematoma expansion in patients with hypertensive intracerebral hemorrhage is better than that of the nine-point method and the BRAIN score, which has clinical application value.

Objective Exploring alterations in regional homogeneity(ReHo)in the brain of adolescents with depression and suicide attempts.Methods Adolescent patients with depression were included.Those with at least one suicide attempt within one year were classified as the suicide attempt group(32 cases),and those without suicide attempts within one year were classified as the non-suicide attempt group(33 cases).Additionally,a healthy control group(31 individuals)was included.All subjects underwent resting-state functional magnetic resonance imaging(fMRI)scans,and the ReHo values were calculated.The severity of depressive symptoms and the suicide risk were evaluated using the patient health questionnaire-9(PHQ-9)and the mini-international neuropsychiatric interview(MINI)suicide scale,respectively.The ReHo values were compared across groups,and the correlations between ReHo values in distinct brain regions and the PHQ-9 and the MINI suicide scales were analyzed.Results Compared with the healthy control group,the ReHo values in the right and left thalamus,right and left precentral gyrus were decreased in the suicide attempt group(voxel level P<0.001,cluster level P<0.05,GRF corrected),while the ReHo value in the right superior temporal gyrus was increased(voxel level P<0.001,cluster level P<0.05,GRF corrected).Compared with the healthy control group,the ReHo values in the right midbrain and the right thalamus were decreased in the non-suicide attempt group(voxel level P<0.001,cluster level P<0.05,GRF corrected),while the ReHo values in the left middle frontal gyrus,right middle frontal gyrus,and right superior frontal gyrus were increased(voxel level P<0.001,cluster level P<0.05,GRF corrected).Compared with the non-suicide attempt group,the ReHo values in the right medial and paracingulate gyrus were decreased in the suicide attempt group(voxel level P<0.001,cluster level P<0.05,GRF corrected).ReHo values in the right superior temporal gyrus of the suicide attempt group showed a positive correlation with PHQ-9 scores(r=0.407,P=0.026).Conclusion Reduced ReHo values in the right medial and paracingulate gyrus at rest in the group with suicide attempt depression may be a potential neural mechanism for suicide in adolescent depressed patients.

Objective Exploring alterations in regional homogeneity(ReHo)in the brain of adolescents with depression and suicide attempts.Methods Adolescent patients with depression were included.Those with at least one suicide attempt within one year were classified as the suicide attempt group(32 cases),and those without suicide attempts within one year were classified as the non-suicide attempt group(33 cases).Additionally,a healthy control group(31 individuals)was included.All subjects underwent resting-state functional magnetic resonance imaging(fMRI)scans,and the ReHo values were calculated.The severity of depressive symptoms and the suicide risk were evaluated using the patient health questionnaire-9(PHQ-9)and the mini-international neuropsychiatric interview(MINI)suicide scale,respectively.The ReHo values were compared across groups,and the correlations between ReHo values in distinct brain regions and the PHQ-9 and the MINI suicide scales were analyzed.Results Compared with the healthy control group,the ReHo values in the right and left thalamus,right and left precentral gyrus were decreased in the suicide attempt group(voxel level P<0.001,cluster level P<0.05,GRF corrected),while the ReHo value in the right superior temporal gyrus was increased(voxel level P<0.001,cluster level P<0.05,GRF corrected).Compared with the healthy control group,the ReHo values in the right midbrain and the right thalamus were decreased in the non-suicide attempt group(voxel level P<0.001,cluster level P<0.05,GRF corrected),while the ReHo values in the left middle frontal gyrus,right middle frontal gyrus,and right superior frontal gyrus were increased(voxel level P<0.001,cluster level P<0.05,GRF corrected).Compared with the non-suicide attempt group,the ReHo values in the right medial and paracingulate gyrus were decreased in the suicide attempt group(voxel level P<0.001,cluster level P<0.05,GRF corrected).ReHo values in the right superior temporal gyrus of the suicide attempt group showed a positive correlation with PHQ-9 scores(r=0.407,P=0.026).Conclusion Reduced ReHo values in the right medial and paracingulate gyrus at rest in the group with suicide attempt depression may be a potential neural mechanism for suicide in adolescent depressed patients.

Objective:To explore the influencing factors of hematoma enlargement in patients with hypertensive intracerebral hemorrhage and construct a corresponding risk prediction nomogram. The screening effects of the constructed model and different hematoma enlargement risk assessment tools were compared and analyzed.Methods:Two hundred and thirty-two patients with hypertensive intracerebral hemorrhage from the Department of Neurosurgery, Lianyungang First People's Hospital from April 2021 to February 2022 were selected as the research subjects. Multivariate Logistic regression was used to analyze the risk factors of hematoma expansion in patients with hyperhemamic intracerebral hemorrhage, and R software was used to construct a nomo diagram. The receiver operating characteristic curve (ROC) and Hosmer-Lemeshow (H-L) goodness-of-fit were used to evaluate the discrimination and calibration of the model, and the decision curve was used to analyze the clinical validity of the model. The constructed Nomo diagram, nine-point method and BRAIN score were used to assess the risk of hematoma enlargement in the included patients and used them as test variables, and the ROC curve was plotted to compare and analyze the area under the ROC curve, sensitivity and specificity of the constructed Nomo diagram, nine-point method and BRAIN score. The Kappa test was used to analyze the consistency between the Nomo diagram, the nine-point method, and the BRAIN score and the hematoma expansion results.Results:The results of multivariate logistic regression analysis showed that blood pressure was poorly controlled ( OR=13.290, 95% CI: 3.676-48.049), ventricular penetration ( OR=4.825, 95% CI: 1.458-15.975), early neurological deterioration ( OR=27.740, 95% CI: 8.713-88.314), Glasgow Coma Scale(GCS)≤8 points ( OR=25.883, 95% CI: 6.542-102.404) was the main influencing factor for hematoma expansion in patients with hypertensive intracerebral hemorrhage (The P values were <0.001, 0.010, <0.001, and <0.001, respectively). The H-L test results of Nomogram for predicting hematoma enlargement were χ2=3.20, P=0.525, the calibration curve was close to the ideal curve, and the mean absolute error was 0.015, and the decision curve analysis showed that the model had good clinical validity. The ROC results showed that the area under the ROC curve of the constructed Neumo diagram, nine-point method and BRAIN score were 0.971 (95% CI: 0.941-0.989), 0.696 (95% CI: 0.632-0.755), and 0.778 (95% CI: 0.719-0.830)(all P<0.001). The sensitivities were 94.37%, 71.83%, and 84.51%, and the specificities were 90.68%, 58.39%, and 65.84%, respectively. The results of Kappa test showed that the Kappa values of Nuomo diagram, nine-point method and BRAIN score were 0.806 , 0.264 and 0.429 (all P<0.001). Conclusion:The main influencing factors of hematoma enlargement in patients with hypertensive intracerebral hemorrhage were poor blood pressure control, intraventricular hemorrhage, early neurological deterioration, and GCS score. The effect of the constructed Nuomo diagram model in predicting hematoma expansion in patients with hypertensive intracerebral hemorrhage is better than that of the nine-point method and the BRAIN score, which has clinical application value.

Objective:To develop radiomics score (RS) based on 18F-FDG PET/CT, and construct the machine learning model combining clinical and other relevant factors for personalized prediction of 2-year event-free survival (2-EFS) in patients with diffuse large B-cell lymphoma (DLBCL), and to perform interpretability analysis of the model. Methods:A total of 91 patients (49 males, 42 females; age (57.8±12.8) years) with pathologically confirmed DLBCL from December 2017 to December 2020 at the First Hospital of Shanxi Medical University were retrospectively analyzed. According to the ratio of 7∶3, patients were randomly divided into training set ( n=63) and test set ( n=28), and divided into non-progression group and progression group according to the follow-up results. The whole-body PET semi-quantitative parameters were calculated from the PET/CT images before treatment, and 328 radiomics features were extracted from the largest target lesions of patients. The least absolute shrinkage and selection operator (LASSO) was used to develop the RS. Clinical and PET characteristic difference analysis was performed through χ2 test and Mann-Whitney U test. Extreme gradient boosting (XGBoost) models were constructed based on clinical, PET radiomics features and RS, and the prediction efficiency of each model was evaluated by ROC AUC. The model interpretability was analyzed by using shapely additive explanation (SHAP). Results:Of all patients, 32 had disease progression and 59 did not. There were no significant differences in baseline characteristics between the training set and the test set ( χ2 values: 0.06-1.84, U values: 665.00-763.00, all P>0.05). The comparison between the progression group and non-progression group in the training set showed statistical differences in the international prognostic index (IPI) score ( χ2=4.87, P=0.027), myelocytomatosis viral oncogene (MYC) protein expression ( χ2=4.29, P=0.038), and metabolic tumor volume (MTV; U=307.00, P=0.038). Seven radiomics features were screened by LASSO. Among XGBoost models with different feature combinations, IPI score, MYC protein expression, MTV combined with RS had the highest predictive efficiency (training set: AUC=0.73; test set: AUC=0.70). Through SHAP analysis, RS was the most predictive feature in the optimal model. Conclusion:The machine learning integrated model of IPI score, MYC protein expression and MTV combined with RS can effectively predict the prognosis of DLBCL patients, and baseline 18F-FDG PET/CT radiomics can be used as a potential means to evaluate the prognosis of DLBCL patients.