ObjectiveTo quantitatively evaluate the effect of phrenic nerve-abdominal muscle electrical stimulation on pulmonary ventilation distribution in stroke patients using electrical impedance tomography (EIT). MethodsThirty-five stroke patients were enrolled at the First Affiliated Hospital of Chongqing Medical University from September, 2024 to June, 2025, and all received standardized phrenic nerve-abdominal muscle electrical stimulation. Percentage of ventilation in gravity-dependent regions of interesting (ROI%), center of ventilation (COV), global inhomogeneity index (GI) and change in end-expiratory lung impedance (ΔEELI) were measured with EIT monitoring before treatment (T0), immediately after treatment (T1), and at five, ten, 15, 20, 25, 30, 40 and 50 minutes after treatment (T2 to T9). ResultsThere were significant differences in ROI% (F = 7.003, P < 0.001) and COV (F = 5.722, P < 0.001) at different time points, both peaking at T1, followed by a downward trend until T5. No significant differences were observed in GI (F = 1.849, P = 0.097) and ΔEELI (F = 0.208, P = 0.871) across time points; however, GI at T7 was lower than that at T0 (P < 0.05). ConclusionPhrenic nerve-abdominal muscle electrical stimulation can improve the ventilation ratio in gravity-dependent regions and shift the center of ventilation dorsally. The improvement in ventilation distribution generally peaks at the end of treatment and lasts for approximately 20 minutes.

Objective:To explore the in vitro radiation levels and in vivo neutron activation after patients receiving boron neutron capture therapy (BNCT). Methods:Totally 29 BNCT treatments were performed for 21 patients with head and neck and brain cancer using the NeuPex accelerator-based boron neutron capture therapy (AB-BNCT) system in Xiamen Humanity Hospital from October, 2022 to April, 2024. The ambient dose equivalent rate around the patients was measured with an X/gamma dose rate survey meter. The gamma radiation dose rates were measured at 0, 0.5, 1.0, and 2.0 m from the irradiation position, at 0, 0.5, 1.0, and 2.0 m from the opposite side of the irradiation position, and at the navel and the affected knee, respectively. Meanwhile, a portable high-purity germanium gamma spectrometer was used to measure the spectrum of activated nuclides in the bodies of patients who had underwent the treatment, and the types of radionuclides generated by neutron activation during each BNCT treatment were analyzed.Results:The radionuclides 24Na, 38Cl, and 49Ca were mainly produced in the bodies of patients treated with BNCT. 20 minutes after BNCT treatment, the ambient dose equivalent rate at a distance of 1.0 m from the irradiation position was lower than 2.5 μSv/h. Conclusions:The dose delivered to the staff and family members by the patients undergoing BNCT is relatively low, and the resulting radiation risk is low. According to the ALARA principle, it is recommended that certain control actions be taken for patients having received BNCT treatment to minimize the exposure doses of both patients and staff as much as possible.

Objective To develop and validate a nomogram prediction model for residual stone risk after flexible ureteroscopic lithotripsy(FURL)in patients with 2-3 cm renal calculi,so as to provide reference for treatment options.Methods Clinical data of 342 patients with renal calculi measuring 2-3 cm undergoing FURL in our hospital during Jun.2017 and Apr.2024 were retrospectively collected.At a 3∶1 randomization ratio,patients were allocated to the training cohort(n=257)and validation cohort(n=85).Patients in the training cohort were stratified into two subgroups based on postoperative stone-free status:residual stone group(n=63)and stone-free group(n=194).Logistic regression analysis was employed to identify factors influencing stone retention and construct the nomogram prediction model.Bootstrapped resampling was applied to validate the model internally,model performance was assessed with calibration curves,Hosmer-Lemeshow test was used to test the degree of fitting,receiver operating characteristic(ROC)curve was plotted to evaluate the predictive accuracy,and decision curve analysis was used to determine the clinical net benefit.The model's generalization capability was evaluated with 10-fold cross-validation of the training set.Results Multivariate logistic regression revealed that stone size,CT value,lower calyx stones,multiple stones,renal infundibulum length(RIL),and renal infundibulum width(RIW)were independent predictors of residual stones(P＜0.05).The nomogram based on the above mentioned parameters demonstrated excellent discrimination,with Bootstrap-validated concordance indices of 0.876(training cohort)and 0.948(validation cohort).Hosmer-Lemeshow tests showed good calibration in both cohorts(P＞0.05).ROC analysis yielded the area under the curve(AUC)of 0.876 and 0.948 for the training and validation cohorts,respectively.The optimal cutoff value was 0.253,with corresponding sensitivity of 84.13％,specificity of 78.35％,and total score of nomogram of 143.The decision curve analysis showed when the threshold probability of the training cohort and verification cohort was 0-0.81 and 0-0.97,respectively,the nomogram could obtain good clinical net benefit in predicting the risk of residual stones.The average accuracy of 10-fold cross-validation was 0.814,and the average AUC was 0.865.Conclusion The nomogram model effectively predicts residual stone risk following FURL for 2-3 cm renal calculi.It is suggested that patients with a total score of ≤143 may consider undergoing FURL.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective:To explore the in vitro radiation levels and in vivo neutron activation after patients receiving boron neutron capture therapy (BNCT). Methods:Totally 29 BNCT treatments were performed for 21 patients with head and neck and brain cancer using the NeuPex accelerator-based boron neutron capture therapy (AB-BNCT) system in Xiamen Humanity Hospital from October, 2022 to April, 2024. The ambient dose equivalent rate around the patients was measured with an X/gamma dose rate survey meter. The gamma radiation dose rates were measured at 0, 0.5, 1.0, and 2.0 m from the irradiation position, at 0, 0.5, 1.0, and 2.0 m from the opposite side of the irradiation position, and at the navel and the affected knee, respectively. Meanwhile, a portable high-purity germanium gamma spectrometer was used to measure the spectrum of activated nuclides in the bodies of patients who had underwent the treatment, and the types of radionuclides generated by neutron activation during each BNCT treatment were analyzed.Results:The radionuclides 24Na, 38Cl, and 49Ca were mainly produced in the bodies of patients treated with BNCT. 20 minutes after BNCT treatment, the ambient dose equivalent rate at a distance of 1.0 m from the irradiation position was lower than 2.5 μSv/h. Conclusions:The dose delivered to the staff and family members by the patients undergoing BNCT is relatively low, and the resulting radiation risk is low. According to the ALARA principle, it is recommended that certain control actions be taken for patients having received BNCT treatment to minimize the exposure doses of both patients and staff as much as possible.

Objective:To understand the incidence of adverse pregnancy outcome in HIV-infected pregnant women and influencing factors in China and provide reference for the improvement of the health status of HIV-infected pregnant women and their newborns.Methods:Based on a mother-child cohort of HIV-infected pregnant women and children (PMTCT-MC-2005) established in Guangxi Zhuang Autonomous Region, Yunnan Province and Xinjiang Uygur Autonomous Region, this study enrolled pregnant women with or without HIV infection as study subjects from January 2017 to June 2023, a total of 1 646 pregnant women (558 HIV-infected and 1 088 HIV-uninfected) were included, and 34 cases with missing data were excluded. The χ2 test was used to analyze the difference in the incidence adverse pregnancy outcome between two groups, and used logistic regression model to identify the influencing factors of adverse pregnancy outcome in HIV-infected pregnant women. Results:A total of 1 612 pregnant women were included in the study, in whom 541 were infected with HIV and 1 071 were not infected with HIV. The incidence of adverse pregnancy outcome was 18.8% (303/1 612), the incidence of adverse pregnancy outcome was 33.1% (179/541) in the HIV-infected pregnant women and 11.6% (124/1 071) in the pregnant women without HIV infection. The results of multivariable logistic regression analysis showed that the influencing factors of adverse pregnancy outcome were age <35 years at delivery (a OR=0.64, 95% CI: 0.43-0.95) compared with the age ≥35 years and the duration of antiviral treatment over 10 years (a OR=0.43, 95% CI: 0.23-0.79) compared with less than one year. Conclusions:The incidence of adverse pregnancy outcome in HIV-infected pregnant women was high in some regions of China during 2017-2023. It is necessary for HIV-infected women to get pregnancy at appropriate time based on antiretroviral treatment effect and strengthen self-care to reduce the incidence of adverse pregnancy outcome.

Objective:To understand the incidence of adverse pregnancy outcome in HIV-infected pregnant women and influencing factors in China and provide reference for the improvement of the health status of HIV-infected pregnant women and their newborns.Methods:Based on a mother-child cohort of HIV-infected pregnant women and children (PMTCT-MC-2005) established in Guangxi Zhuang Autonomous Region, Yunnan Province and Xinjiang Uygur Autonomous Region, this study enrolled pregnant women with or without HIV infection as study subjects from January 2017 to June 2023, a total of 1 646 pregnant women (558 HIV-infected and 1 088 HIV-uninfected) were included, and 34 cases with missing data were excluded. The χ2 test was used to analyze the difference in the incidence adverse pregnancy outcome between two groups, and used logistic regression model to identify the influencing factors of adverse pregnancy outcome in HIV-infected pregnant women. Results:A total of 1 612 pregnant women were included in the study, in whom 541 were infected with HIV and 1 071 were not infected with HIV. The incidence of adverse pregnancy outcome was 18.8% (303/1 612), the incidence of adverse pregnancy outcome was 33.1% (179/541) in the HIV-infected pregnant women and 11.6% (124/1 071) in the pregnant women without HIV infection. The results of multivariable logistic regression analysis showed that the influencing factors of adverse pregnancy outcome were age <35 years at delivery (a OR=0.64, 95% CI: 0.43-0.95) compared with the age ≥35 years and the duration of antiviral treatment over 10 years (a OR=0.43, 95% CI: 0.23-0.79) compared with less than one year. Conclusions:The incidence of adverse pregnancy outcome in HIV-infected pregnant women was high in some regions of China during 2017-2023. It is necessary for HIV-infected women to get pregnancy at appropriate time based on antiretroviral treatment effect and strengthen self-care to reduce the incidence of adverse pregnancy outcome.

OBJECTIVE: To observe the clinical efficacy of herb-spreading moxibustion as an adjuvant treatment for chemotherapy-induced nausea and vomiting (CINV) of spleen and stomach deficiency cold in gastric cancer. METHODS: Seventy-six patients with CINV of spleen and stomach deficiency cold in gastric cancer were randomly divided into an observation group (38 cases, 1 case was discontinued, 1 case dropped out) and a control group (38 cases, 1 case was discontinued). The patients in both groups were treated with cisplatin+tigio regimen chemotherapy, and were treated with basic anti-nausea drugs on the 1st to 3rd day of chemotherapy. The observation group was treated with herb-spreading moxibustion at Zhongwan (CV12) acupoint area (covering from Shangwan [CV13] to Shenque [CV8] of the conception vessel, and from both sides to the kidney meridian of foot-shaoyin). The herb was selected as Fuzi Lizhong decoction, once a day, about 50 min each time, with 3 consecutive days as one treatment course, with an interval of 1 day between each course, for a total of 3 treatment courses. The grading of nausea and vomiting degree in the two groups were recorded on the 1st, 3rd, 7th and 14th days of chemotherapy. Karnofsky performance status (KPS) score in the two groups was observed before treatment and on the 1st, 3rd, 7th and 14th days of chemotherapy. The TCM symptom grading and TCM syndrome score of the two groups before and after treatment were compared, and the clinical efficacy and safety of the two groups were evaluated. RESULTS: On the 7th and 14th days of chemotherapy, the grading of nausea degree in the observation group was lower than that in the control group (P<0.05). On the 3rd, 7th and 14th days of chemotherapy, the grading of vomiting degree in the observation group was lower than that in the control group (P<0.05, P<0.01). Compared before treatment, the KPS scores of the two groups on the 1st day of chemotherapy and the control group on the 7th day of chemotherapy were decreased (P<0.05, P<0.01), and the KPS scores of the observation group on the 7th day of chemotherapy and the two groups on the 14th day of chemotherapy were increased (P<0.01). On the 7th and 14th days of chemotherapy, the KPS scores of the observation group were higher than those of the control group (P<0.01). After treatment, the each item grading of TCM symptom in the two groups was better than that before treatment (P<0.01), except for loose stool, the each item grading of TCM symptom in the observation group was better than that in the control group (P<0.05, P<0.01). After treatment, the scores of TCM syndrome in the two groups were lower than those before treatment (P<0.01), and the score in the observation group was lower than that in the control group (P<0.01). The obvious effective rate of the observation group was 58.3% (21/36), which was higher than 24.3% (9/37) of the control group (P<0.01). No adverse events occurred in both groups. CONCLUSION Herb-spreading moxibustion as an adjuvant treatment for CINV of spleen and stomach deficiency cold in gastric cancer can effectively relieve nausea and vomiting, and improve the symptoms of TCM, and improve the quality of life of patients. The clinical efficacy is satisfactory and the safety is good.
Humans ; Moxibustion ; Male ; Female ; Middle Aged ; Stomach Neoplasms/drug therapy* ; Nausea/physiopathology* ; Vomiting/physiopathology* ; Aged ; Adult ; Acupuncture Points ; Antineoplastic Agents/therapeutic use* ; Drugs, Chinese Herbal/administration & dosage* ; Spleen/drug effects* ; Stomach/drug effects*

Background: Breast cancer is a common malignant tumor that has a high tendency to metastasis to the bone, leading to cancer-induced bone pain (CIBP). Ghrelin can not only stimulate appetite and regulate energy balance, but also alleviate CIBP by inducing NPY expression. Octanoic acid (OA), a type of medium chain fatty acids, provides an energy substrate and promotes acylation of ghrelin. However, it remains to be elucidated whether an OA-rich diet can alleviate CIBP by activating the acyl-ghrelin/NPY pathway. Methods: First, thirty-six Sprague–Dawley rats were randomly divided into the sham, CIBP, CIBP + OA (20), CIBP + OA (40), CIBP + OA (60) and CIBP + OA (80) groups to investigate the effects of diets with different ratios of OA on CIBP and the acyl-ghrelin/NPY pathway. Next, a ghrelin O-acyltransferase (GOAT) inhibitor was exogenously administered to investigate whether an OA-rich diet alleviated CIBP through increasing the level of acyl-ghrelin and activating the acyl-ghrelin/NPY pathway. Results: An OA-rich diet significantly alleviated nociceptive behaviors and increased the levels of acyl-ghrelin and NPY in a dose-dependent manner in cancer-bearing rats. With the exogenous administration of the GOAT inhibitor, the beneficial effects of an OA-rich diet on the acyl-ghrelin/NPY pathway and its pain-relieving effects were attenuated. Conclusions An OA-rich diet could alleviate CIBP through increasing the level of acyl-ghrelin and activating the acylghrelin/NPY pathway.