OBJECTIVE To estimate the cost-effectiveness of penpulimab combined with chemotherapy versus chemotherapy alone in first-line treatment of advanced squamous non-small-cell lung cancer （sq-NSCLC）. METHODS From the perspective of Chinese health system， cost-utility analysis was used to evaluate the cost-effectiveness of penpulimab combined with chemotherapy （paclitaxel + carboplatin） versus chemotherapy （paclitaxel + carboplatin） in first-line treatment of sq-NSCLC. A three-health states Markov model was constructed with R packages， and clinical data used in the model were derived from the AK105-302 clinical trial. Costs and utilities were collected from the open-access database and published literature. The quality-adjusted life-years （QALY） was used as the utility index， and the willingness-to-pay （WTP） threshold was set at three times China’s per capita GDP in 2024， equivalent to 287 247 yuan/QALY. The cost-effectiveness of the schemes was evaluated by comparing the incremental cost- utility ratios （ICER） of the two schemes with the WTP threshold. One-way sensitivity analysis and probabilistic sensitivity analysis （PSA） were used to verify the stability of the basic analysis results. RESULTS Compared with chemotherapy， penpulimab combined with chemotherapy increased 0.73 QALY with an incremental cost of 150 681.93 yuan， and the ICER was 206 413.60 yuan/QALY. One-way sensitivity analysis showed that the utility of progression-free survival was the most sensitive factor on ICERs. At the WTP threshold of 3 times China’s per capita GDP， the economic probability of this scheme was 98.80%. At the WTP threshold of 1 times China’s per capita GDP， the probability of ICER being cost-effective was less than 0.01%. CONCLUSIONS For patients with advanced sq-NSCLC， penpulimab combined with chemotherapy is a cost-effective first-line treatment option when WTP threshold is 3 times China’s per capita GDP.

Objective: To analyze the mediating effect of activities of daily living (ADL) among patients with chronic obstructive pulmonary disease (COPD) on caregiver ability and caregiver burden, so as to provide a basis for improving the quality of care. Methods: From February 2024 to March 2025, COPD patients and their caregivers from the Department of Pulmonary and Critical Care Medicine of a tertiary hospital in Haikou were selected using convenience sampling method. Data on the basic characteristics of both caregivers and patients were collected through questionnaire surveys. The Chinese version of the Family Caregiver Capacity Scale, the Chinese version of the Caregiver Burden Inventory, and the Barthel Index were used to assess caregiver ability, caregiver burden, and patients' ADL, respectively. The mediating effect of ADL among COPD patients on caregiver ability and caregiver burden was analyzed using the Process macro 4.0, with the significance tested via the Bootstrap method. Results: A total of 348 caregivers were surveyed, among whom 274 (78.74%) were females and 74 (21.26%) were males. The majority of caregivers were aged 40 years and above, with 291 individuals (83.62%). The relationship between caregivers and patients was primarily that of being their children, with 185 individuals (53.16%). Correspondingly, 348 COPD patients were surveyed, and the predominant type of medical insurance was the New Rural Cooperative Medical Scheme, with 172 cases (49.43%). The median scores of caregiver ability, caregiver burden, and patients' ADL were 19.00 (interquartile range, 5.00), 47.00 (interquartile range, 8.00) and 45.00 (interquartile range, 15.00) points, respectively. Mediating analysis showed that caregiver ability directly affected caregiver burden, with an effect value of 0.693 (95%CI: 0.553-0.832). It also indirectly affected caregiver burden through the patients' ADL, with an effect value of 0.104 (95%CI: 0.029-0.179). This mediating effect accounted for 13.05% of the total effect. Conclusion The ADL of COPD patients played a mediating role between caregiver ability and caregiver burden, with caregiver ability exerting a significant positive indirect effect on caregiver burden through patients' ADL.

Objective:To explore the effectiveness of immersive virtual reality (VR)-guided core stability-assisted training in improving the balance of ischemic stroke survivors.Methods:Sixty-six hemiplegic ischemic stroke survivors were randomly divided into a conventional rehabilitation training group (CON) of 32 and an immersive VR-guided core stability-assisted training group (VR-TOT) of 34. In addition to basic internal medical treatment, the CON group underwent conventional rehabilitation therapy, while the VR-TOT group received VR-guided core stability-assisted training. Before and after 4 weeks of the treatments, the subjects′ balance was evaluated using the Fugl-Meyer balance scale. A three-dimensional force platform was used to collect the sway amplitude, sway speed, peripheral area and total trajectory length of the center of pressure COP of the bilateral plantar in the left-right and anterior-posterior directions while the subjects stood with the eyes open and closed.Results:After the treatments, the average Fugl-Meyer balance scores of both groups had improved significantly. In the eyes-open condition, after the treatment, there was a significant decrease in the average COP sway amplitude in the anteroposterior direction on the hemiplegic side among the CON group, as well as in both the mediolateral and anteroposterior directions on both sides in the VR-TOT group. The sway velocity in the anteroposterior direction on the hemiplegic side had decreased significantly in both groups, and the sway velocity in both the mediolateral and anteroposterior directions on the non-hemiplegic side had also decreased significantly. In the CON group the peripheral area on the non-hemiplegic side had decreased and the total trajectory length had shortened significantly. In the VR-TOT group there were significant decreases in the peripheral area on both sides and in the total trajectory length on both sides. Comparing the two groups after treatment, the peripheral area on the hemiplegic side in the VR-TOT group was significantly smaller. In the eyes-closed condition, the sway amplitude of the COP on the hemiplegic side in the anteroposterior direction and on the non-hemiplegic side in both the mediolateral and anteroposterior directions had decreased significantly in the VR-TOT group after the treatment. The average sway velocity had decreased significantly in the anteroposterior direction on the non-hemiplegic side in the CON group. In the VR-TOT group this was observed in the anteroposterior direction on the hemiplegic side and in both the mediolateral and anteroposterior directions on the healthy side. In the CON group the average peripheral area of the COP on the hemiplegic side had decreased, and the total trajectory length had shortened, both significantly. In the VR-TOT group, the peripheral area on the non-hemiplegic side had decreased significantly as well.Conclusions:Core stability-assisted training based on immersive virtual reality can effectively improve the balance of ischemic stroke survivors. It shows promise for clinical application.

Regarding the challenge of early identification of critically ill patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),a radiomics-clinical fusion model is proposed based on non-contrast CT images of accessory respiratory muscles to predict life-threatening conditions.A retrospective study is conducted involving 233 AECOPD patients(153 non-life-threatening and 80 life-threatening cases).Patients are divided into a training set(n=186)and a test set(n=47)at a 4:1 ratio.A total of 1 874 radiomic features are extracted from the erector spinae and pectoralis muscle regions delineated by radiologists on non-contrast CT images,and the features selection is performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator(LASSO)algorithms.Meanwhile,clinical data are analyzed with t-test and LASSO for variable screening.The selected features are input into C-support vector classification,Logistic regression,random forest,adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)to construct radiomics model,clinical model,and fusion model.Predictive performance and clinical practicality are evaluated in the test set using receiver operating characteristic curve,area under the curve(AUC),and decision curve analysis.The radiomics-clinical fusion model built with XGBoost outperformed standalone radiomics and clinical models,achieving an AUC of 0.902(95％CI 0.846,0.994),with accuracy,sensitivity,specificity,and precision of 0.837,0.933,0.786,and 0.7,respectively.Results demonstrate that the fusion model based on the non-contrast CT radiomics of accessory respiratory muscles and clinical data exhibits promising diagnostic performance,highlighting its potential clinical significance for stratified management and preemptive critical care intervention in AECOPD patients.

Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has been recently identified as a key role in Parkinson's disease (PD) pathogenesis. In particular, lipid peroxidation-mediated ferroptosis is considered a key event leading to the death of dopaminergic neurons. This article reviews the role of lipid peroxidation-mediated ferroptosis in PD and its involved key signaling pathways, and explores the related targeted therapeutic strategies, with the aim of providing new ideas for targeted treatment of PD.

Regarding the challenge of early identification of critically ill patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),a radiomics-clinical fusion model is proposed based on non-contrast CT images of accessory respiratory muscles to predict life-threatening conditions.A retrospective study is conducted involving 233 AECOPD patients(153 non-life-threatening and 80 life-threatening cases).Patients are divided into a training set(n=186)and a test set(n=47)at a 4:1 ratio.A total of 1 874 radiomic features are extracted from the erector spinae and pectoralis muscle regions delineated by radiologists on non-contrast CT images,and the features selection is performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator(LASSO)algorithms.Meanwhile,clinical data are analyzed with t-test and LASSO for variable screening.The selected features are input into C-support vector classification,Logistic regression,random forest,adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)to construct radiomics model,clinical model,and fusion model.Predictive performance and clinical practicality are evaluated in the test set using receiver operating characteristic curve,area under the curve(AUC),and decision curve analysis.The radiomics-clinical fusion model built with XGBoost outperformed standalone radiomics and clinical models,achieving an AUC of 0.902(95％CI 0.846,0.994),with accuracy,sensitivity,specificity,and precision of 0.837,0.933,0.786,and 0.7,respectively.Results demonstrate that the fusion model based on the non-contrast CT radiomics of accessory respiratory muscles and clinical data exhibits promising diagnostic performance,highlighting its potential clinical significance for stratified management and preemptive critical care intervention in AECOPD patients.

Objective:To explore the effectiveness of immersive virtual reality (VR)-guided core stability-assisted training in improving the balance of ischemic stroke survivors.Methods:Sixty-six hemiplegic ischemic stroke survivors were randomly divided into a conventional rehabilitation training group (CON) of 32 and an immersive VR-guided core stability-assisted training group (VR-TOT) of 34. In addition to basic internal medical treatment, the CON group underwent conventional rehabilitation therapy, while the VR-TOT group received VR-guided core stability-assisted training. Before and after 4 weeks of the treatments, the subjects′ balance was evaluated using the Fugl-Meyer balance scale. A three-dimensional force platform was used to collect the sway amplitude, sway speed, peripheral area and total trajectory length of the center of pressure COP of the bilateral plantar in the left-right and anterior-posterior directions while the subjects stood with the eyes open and closed.Results:After the treatments, the average Fugl-Meyer balance scores of both groups had improved significantly. In the eyes-open condition, after the treatment, there was a significant decrease in the average COP sway amplitude in the anteroposterior direction on the hemiplegic side among the CON group, as well as in both the mediolateral and anteroposterior directions on both sides in the VR-TOT group. The sway velocity in the anteroposterior direction on the hemiplegic side had decreased significantly in both groups, and the sway velocity in both the mediolateral and anteroposterior directions on the non-hemiplegic side had also decreased significantly. In the CON group the peripheral area on the non-hemiplegic side had decreased and the total trajectory length had shortened significantly. In the VR-TOT group there were significant decreases in the peripheral area on both sides and in the total trajectory length on both sides. Comparing the two groups after treatment, the peripheral area on the hemiplegic side in the VR-TOT group was significantly smaller. In the eyes-closed condition, the sway amplitude of the COP on the hemiplegic side in the anteroposterior direction and on the non-hemiplegic side in both the mediolateral and anteroposterior directions had decreased significantly in the VR-TOT group after the treatment. The average sway velocity had decreased significantly in the anteroposterior direction on the non-hemiplegic side in the CON group. In the VR-TOT group this was observed in the anteroposterior direction on the hemiplegic side and in both the mediolateral and anteroposterior directions on the healthy side. In the CON group the average peripheral area of the COP on the hemiplegic side had decreased, and the total trajectory length had shortened, both significantly. In the VR-TOT group, the peripheral area on the non-hemiplegic side had decreased significantly as well.Conclusions:Core stability-assisted training based on immersive virtual reality can effectively improve the balance of ischemic stroke survivors. It shows promise for clinical application.

Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has been recently identified as a key role in Parkinson's disease (PD) pathogenesis. In particular, lipid peroxidation-mediated ferroptosis is considered a key event leading to the death of dopaminergic neurons. This article reviews the role of lipid peroxidation-mediated ferroptosis in PD and its involved key signaling pathways, and explores the related targeted therapeutic strategies, with the aim of providing new ideas for targeted treatment of PD.

Objective: Imaging parameters of Chiari malformation type I (CMI) development are not well established. This study aimed to collect evidence of general or specific imaging measurements in patients with CMI, analyze indicators that may assist in determining the severity of CMI, and guide its diagnosis and treatment. Methods: A comprehensive search was conducted across various databases including the Cochrane Library, PubMed, MEDLINE, Scopus, and Embase, covering the period from January 2002 to October 2023, following predefined inclusion criteria. Meta-analyses were performed using RevMan (ver. 5.4). We performed a quantitative summary and systematic analysis of the included studies. This study was registered in the PROSPERO (International Prospective Register of Systematic Reviews) prior to initiation (CRD42023415454). Results: Thirty-three studies met our inclusion criteria. The findings indicated that out of the 14 parameters examined, 6 (clivus length, basal angle, Boogard’s angle, supraocciput lengths, posterior cranial fossa [PCF] height, and volume) exhibited significant differences between the CMI group and the control group. Furthermore, apart from certain anatomical parameters that hold prognostic value for CMI, functional parameters like tonsillar movement, obex displacement, and cerebrospinal fluid dynamics serve as valuable indicators for guiding the clinical management of the disease. Conclusion We collated and established a set of linear, angular, and area measurements deemed essential for diagnosing CMI. However, more indicators can only be analyzed descriptively for various reasons, particularly in prognostic prediction. We posit that the systematic assessment of patients’ PCF morphology, volume, and other parameters at a 3-dimensional level holds promising clinical application prospects.

Objective: Imaging parameters of Chiari malformation type I (CMI) development are not well established. This study aimed to collect evidence of general or specific imaging measurements in patients with CMI, analyze indicators that may assist in determining the severity of CMI, and guide its diagnosis and treatment. Methods: A comprehensive search was conducted across various databases including the Cochrane Library, PubMed, MEDLINE, Scopus, and Embase, covering the period from January 2002 to October 2023, following predefined inclusion criteria. Meta-analyses were performed using RevMan (ver. 5.4). We performed a quantitative summary and systematic analysis of the included studies. This study was registered in the PROSPERO (International Prospective Register of Systematic Reviews) prior to initiation (CRD42023415454). Results: Thirty-three studies met our inclusion criteria. The findings indicated that out of the 14 parameters examined, 6 (clivus length, basal angle, Boogard’s angle, supraocciput lengths, posterior cranial fossa [PCF] height, and volume) exhibited significant differences between the CMI group and the control group. Furthermore, apart from certain anatomical parameters that hold prognostic value for CMI, functional parameters like tonsillar movement, obex displacement, and cerebrospinal fluid dynamics serve as valuable indicators for guiding the clinical management of the disease. Conclusion We collated and established a set of linear, angular, and area measurements deemed essential for diagnosing CMI. However, more indicators can only be analyzed descriptively for various reasons, particularly in prognostic prediction. We posit that the systematic assessment of patients’ PCF morphology, volume, and other parameters at a 3-dimensional level holds promising clinical application prospects.