MRI quantitative assessment of the effects of low-carbohydrate therapy on Hashimoto's thyroiditis.

Objective: Hashimoto's thyroiditis is an inflammatory disease, and research suggests that a low-carbohydrate diet may have potential anti-inflammatory effects. This study aims to utilize Dixon-T2-weighted imaging (WI) sequence for a semi-quantitative assessment of the impact of a low-carbohydrate diet on the degree of thyroid inflammation in patients with Hashimoto's thyroiditis. Methods: Forty patients with Hashimoto's thyroiditis were recruited for this study and randomly divided into two groups: one with a normal diet and the other with a low-carbohydrate diet. Antibodies against thyroid peroxidase (TPOAb) and thyroglobulin (TgAb) were measured for all participants. Additionally, thyroid water content was semi-quantitatively measured using Dixon-T2WI. The same tests and measurements were repeated for all participants after 6 months. Results: After 6 months of a low-carbohydrate diet, patients with Hashimoto's thyroiditis showed a significant reduction in thyroid water content (94.84 ± 1.57% vs 93.07 ± 2.05%, P < 0.05). Concurrently, a decrease was observed in levels of TPOAb and TgAb (TPOAb: 211.30 (92.63-614.62) vs 89.45 (15.9-215.67); TgAb: 17.05 (1.47-81.64) vs 4.1 (0.51-19.42), P < 0.05). In contrast, there were no significant differences in thyroid water content or TPOAb and TgAb levels for patients with Hashimoto's thyroiditis following a normal diet after 6 months (P < 0.05). Conclusion: Dixon-T2WI can quantitatively assess the degree of thyroid inflammation in patients with Hashimoto's thyroiditis. Following a low-carbohydrate diet intervention, there is a significant reduction in thyroid water content and a decrease in levels of TPOAb and TgAb. These results suggest that a low-carbohydrate diet may help alleviate inflammation in patients with Hashimoto's thyroiditis.

Mapping land-use and land-cover changes through the integration of satellite and airborne remote sensing data.

An integrated, remotely sensed approach to assess land-use and land-cover change (LULCC) dynamics plays an important role in environmental monitoring, management, and policy development. In this study, we utilized the advantage of land-cover seasonality, canopy height, and spectral characteristics to develop a phenology-based classification model (PCM) for mapping the annual LULCC in our study areas. Monthly analysis of normalized difference vegetation index (NDVI) and near-infrared (NIR) values derived from SPOT images enabled the detection of temporal characteristics of each land type, serving as crucial indices for land type classification. The integration of normalized difference built-up index (NDBI) derived from Landsat images and airborne LiDAR canopy height into the PCM resulted in an overall performance of 0.85, slightly surpassing that of random forest analysis or principal component analysis. The development of PCM can reduce the time and effort required for manual classification and capture annual LULCC changes among five major land types: forests, built-up land, inland water, agriculture land, and grassland/shrubs. The gross change LULCC analysis for the Taoyuan Tableland demonstrated fluctuations in land types over the study period (2013 to 2022). A negative correlation (r = - 0.79) in area changes between grassland/shrubs and agricultural land and a positive correlation (r = 0.47) between irrigation ponds and agricultural land were found. Event-based LULCC analysis for Taipei City demonstrated a balance between urbanization and urban greening, with the number of urbanization events becoming comparable to urban greening events when the spatial extent of LULCC events exceeds 1000 m2. Besides, small-scale urban greening events are frequently discovered and distributed throughout the metropolitan area of Taipei City, emphasizing the localized nature of urban greening events.

Culturally adapted translation of LYMPH-Q upper extremity module from English to Mandarin Chinese.

BACKGROUND: Breast cancer-related lymphedema (BCRL) is one of the debilitating complications after breast cancer treatment. Several forms of patient-reported outcome measures (PROMs) were developed to evaluate the severity of BCRL based on the patients' perspective. LYMPH-Q Upper Extremity Module is a newly developed questionnaire for BCRL. This study aimed to demonstrate the process of translation and cultural adaption from English to Mandarin Chinese. METHODS AND RESULTS: The translation process followed the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) best-practice guidelines for the translation and cultural adaption of PROM. The process included four steps: forward translation, back translation, back translation review, and patient interviews. In total, five patients with BCRL were recruited for patient interviews. The forward translation step involved two professional translators whose native language was Mandarin Chinese. A reconciled translated version was produced. In the back translation step, the reconciled translated version in Mandarin Chinese was sent to another professional translator whose native language was English. The back-translated version in English was sent back to the developer of LYMPH-Q for review. In this step, 22 items were revised. In the final step of patient interviews, 15 items were revised based on the patients' feedback. CONCLUSION: The development of Mandarin Chinese version of LYMPH-Q Upper Extremity Module and its utilization in conjunction with the existing objective measures could provide a more well-rounded picture of the status of patients with BCRL worldwide.

Robotic Versus Conventional or Endoscopic-assisted Nipple-sparing Mastectomy and Immediate Prosthesis Breast Reconstruction in the Management of Breast Cancer: A Prospectively Designed Multicenter Trial Comparing Clinical Outcomes, Medical Cost, and Patient-reported Outcomes (RCENSM-P).

OBJECTIVE: To compare the clinical and patient-reported outcomes of minimal access and conventional nipple-sparing mastectomy (C-NSM). The secondary outcomes investigated included medical costs and oncological safety. BACKGROUND: Minimal-access NSM has been increasingly applied in the treatment of patients with breast cancer. However, prospective multicenter trials comparing robotic-assisted NSM (R-NSM) versus C-NSM or endoscopic-assisted NSM (E-NSM) are lacking. METHODS: A prospectively designed 3-arm multicenter, nonrandomized trial (NCT04037852) was conducted from October 1, 2019 to December 31, 2021, to compare R-NSM with C-NSM or E-NSM. RESULTS: A total of 73 R-NSM, 74 C-NSM, and 84 E-NSM procedures were enrolled. The median wound length and operation time of C-NSM was (9 cm, 175 minutes), (4 cm, and 195 minutes) in R-NSM, and (4 cm and 222 minutes) in E-NSM. Complications were comparable among the groups. Better wound healing was observed in the minimal-access NSM group. The R-NSM procedure was 4000 and 2600 United States Dollars more expensive than C-NSM and E-NSM, respectively. Wound/scar and postoperative acute pain evaluation favored the use of minimal access NSM over C-NSM. Quality of life in terms of chronic breast/chest pain, mobility, and range of motion of the upper extremity showed no significant differences. The preliminary oncologic results showed no differences among the 3 groups. CONCLUSIONS: R-NSM or E-NSM is a safe alternative if compared with C-NSM in terms of perioperative morbidities, especially with better wound healing. The advantage of minimal access groups was higher wound-related satisfaction. Higher costs remain one of the major limiting factors in the widespread adoption of R-NSM.

Cost-effectiveness analysis of serplulimab in combination with cisplatin plus 5-fluorouracil chemotherapy compared to cisplatin plus 5-fluorouracil chemotherapy as first-line treatment for advanced or metastatic esophageal squamous cell carcinoma in China.

Background: This study evaluated the cost-effectiveness of serplulimab plus chemotherapy versus chemotherapy alone in treating advanced/metastatic esophageal squamous cell carcinoma (ESCC) within the Chinese health care system. Methods: A partitioned survival model based on ASTRUM-007 trial patient characteristics was developed. Efficacy, safety, and medical/economic data were obtained from the trial and real-world clinical practice. Costs, quality-adjusted life years (QALY), and incremental cost-effectiveness ratios (ICERs) were calculated for both treatment strategies. Sensitivity, subgroup, and scenario analyses were performed to assess the uncertainty impact. Results: Serplulimab combined with chemotherapy yielded an ICER of US$ 53,538.27/QALY. Deterministic sensitivity analysis identified patient survival and serplulimab price as influential parameters. Probabilistic sensitivity analysis showed a 47.33% probability of cost-effectiveness at a willingness-to-pay (WTP) threshold of US$ 53,541/QALY and 0.05% at three times China's GDP per capita. Subgroup analysis revealed that patients with a programmed death-ligand 1 (PD-L1) expression combined positive score (CPS) ⩾10 had a lower hazard ratio (0.59) and ICER (US$ 29,935.23/QALY), with a 95.36% probability of cost-effectiveness. Scenario analysis demonstrated that the drug donation discount policy significantly increased the likelihood of cost-effective serplulimab-chemotherapy combinations in Jiangsu, Fujian, and Guangdong at 99.99%, 99.90%, and 94.16%, respectively. Conclusion: Compared to chemotherapy alone, serplulimab combined with chemotherapy is currently not a cost-effective first-line treatment for advanced/metastatic ESCC in China. However, as serplulimab plus chemotherapy regimens evolve and price competition among programmed death 1 (PD-1) inhibitors intensifies, this combination may become a cost-effective treatment option.

Assessing Serplulimab's Value in Treating Advanced Esophageal Cancer in China In China, esophageal cancer patients often need chemotherapy due to late diagnosis. Serplulimab, an expensive new treatment, is not cost-effective when combined with chemotherapy for most patients. However, for specific patient groups with a PD-L1 expression CPS ⩾ 10, it is both effective and affordable. This finding helps health care leaders create better pricing strategies.

Trade-offs among cost, integration, and segregation in the human connectome.

The human brain structural network is thought to be shaped by the optimal trade-off between cost and efficiency. However, most studies on this problem have focused on only the trade-off between cost and global efficiency (i.e., integration) and have overlooked the efficiency of segregated processing (i.e., segregation), which is essential for specialized information processing. Direct evidence on how trade-offs among cost, integration, and segregation shape the human brain network remains lacking. Here, adopting local efficiency and modularity as segregation factors, we used a multiobjective evolutionary algorithm to investigate this problem. We defined three trade-off models, which represented trade-offs between cost and integration (Dual-factor model), and trade-offs among cost, integration, and segregation (local efficiency or modularity; Tri-factor model), respectively. Among these, synthetic networks with optimal trade-off among cost, integration, and modularity (Tri-factor model [Q]) showed the best performance. They had a high recovery rate of structural connections and optimal performance in most network features, especially in segregated processing capacity and network robustness. Morphospace of this trade-off model could further capture the variation of individual behavioral/demographic characteristics in a domain-specific manner. Overall, our results highlight the importance of modularity in the formation of the human brain structural network and provide new insights into the original cost-efficiency trade-off hypothesis.

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.

Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out to evaluate state-of-the-art connectivity methods using novel large-scale numerical phantoms. The diffusion signal for the phantoms was obtained from Monte Carlo simulations. The results of the challenge suggest that methods selected by the 14 teams participating in the challenge can provide high correlations between estimated and ground-truth connectivity weights, in complex numerical environments. Additionally, the methods used by the participating teams were able to accurately identify the binary connectivity of the numerical dataset. However, specific false positive and false negative connections were consistently estimated across all methods. Although the challenge dataset doesn't capture the complexity of a real brain, it provided unique data with known macrostructure and microstructure ground-truth properties to facilitate the development of connectivity estimation methods.

Health Economic Evaluation of Proton Therapy for Lung Cancer: A Systematic Review.

BACKGROUND: To our knowledge, there have been no systematic reviews of health economic evaluations of proton therapy specific to lung cancer. METHODS: We conducted this systematic review according to the predefined protocol [PROSPERO CRD42022365869]. We summarized the results of the included studies via structured narrative synthesis. RESULTS: We identified four studies (all used passively scattered proton therapy) from 787 searches. Two cost analyses reported that proton therapy was more costly than photon therapy for early- or locally advanced-stage non-small cell lung cancer, one cost-utility analysis reported that proton therapy was dominated by nonproton therapy in early-stage non-small cell lung cancer, and one cost-utility analysis reported that proton therapy was not cost-effective (vs. photon) in locally advanced non-small cell lung cancer. CONCLUSIONS: Passively scattered proton therapy was more costly and not cost-effective than photon therapy for early- and locally advanced-stage non-small cell lung cancer. Further health economic evaluations regarding modern proton therapy (such as scanning beam) for common radiotherapy indications of lung cancer are eagerly awaited.

Development and preliminary testing of the cancer-related fatigue comprehensive assessment scale in cancer survivors.

BACKGROUND: Tailored management of cancer-related fatigue (CRF) is important for effective coping; however, it has been hindered by the lack of a comprehensive tool that assesses both symptoms and treatable influencing factors. AIMS AND OBJECTIVES: The aim was to develop a cancer-related fatigue comprehensive assessment scale (CRF-CAS) and assess its psychometric properties. DESIGN: This was a mixed-method study. METHODS: The study included two phases which were conducted in Zhejiang Province, China. In phase one, a literature search, brainstorming sessions, Delphi studies, cognitive interviews and a pilot study were conducted to construct and revise CRF-CAS indicators. In phase two, a questionnaire-based survey was conducted among cancer survivors. Item analysis was used to select and optimize indicators. Cronbach's α was calculated for reliability analysis. Validity analysis included concurrent validity and structural validity. RESULTS: A 93-item tool was initially constructed. Phase one ended with revision and optimization. The preliminary scale included five dimensions (CRF symptoms, physical activity, cognitive-emotional status, sleep status, nutritional status) and 30 items. The mean item-content validity index (I-CVI) and scale-level CVI universal agreement (S-CVI/UA) were .98, and the adjusted mean values of Kappa for indicators ranged from .91-1, as evaluated by the expert group. The Pearson correlation coefficient between the CRF-CAS and criterion scales ranged from .337-.862. Cronbach's α coefficient ranged from .624-.728. Respondents agreed that the scale was acceptable for administration and that it contributed to decision-making in fatigue management. Confirmatory factor analysis (CFA) indicated that the CRF-CAS fit well. CONCLUSIONS: The construction process of the CRF-CAS, involving panel discussion and expert and participant evaluations, was shown to be scientific and feasible. The CRF-CAS had relatively good validity and reliability in version 5 of its preliminary scale, which requires further improvement in future studies.

Assessment of vascular and endothelial function in Kawasaki disease.

BACKGROUND: Kawasaki disease (KD) is an acute febrile vasculitis. Patients with previous KD have increased risk of coronary arterial aneurysms (CAA) and early-onset arteriosclerosis. Endothelial dysfunction is the earliest manifestation of arteriosclerosis. We aimed to explore the endothelial function and clinical characteristics of patients with previous KD. METHODS: In this case-control study, we investigated childhood KD patients, with and without CAA, and a group of healthy controls. We obtained the anthropometric measurements, metabolic markers, vascular ultrasonography evaluating arterial stiffness and flow-mediated dilatation (FMD), and clinical information obtained by reviewing the patients' charts. Continuous variables were compared using non-parametric analyses and categorical variables, using the chi-square or Fisher's exact tests. RESULTS: Seventy KD patients (median current age, 12.95 years; median follow-up duration, 10.88 years) and 14 healthy controls were recruited. FMD was significantly lower in the CAA group (n = 15) than the control group (FMDs: 5.59% [interquartile range, 3.99-6.86%] vs. 7.49% [5.96-9.42%], p = 0.049; diastolic FMD: 6.48% [4.14-7.32%] vs. 7.87% [6.19-9.98%], p = 0.042). The CAA group had a higher percentage of impaired FMD and the significantly largest coronary segments of the three groups. Other parameters including metabolic markers, carotid intima-media thickness, and arterial stiffness were not statistically different. CONCLUSION: KD patients, especially those with CAAs, may have impaired endothelial function. FMD may be a good indicator of endothelial dysfunction for use in long-term follow-up of KD patients.

Comparative cost-effectiveness of first-line pembrolizumab plus chemotherapy vs. chemotherapy alone in persistent, recurrent, or metastatic cervical cancer.

Background: Treating persistent, recurrent, or metastatic cervical cancer remains challenging. Although pembrolizumab, combined with chemotherapy and bevacizumab, offers a promising first-line option, its cost-effectiveness within the Chinese healthcare system has not been established. Methods: A partitioned survival model was constructed using patient data from the KEYNOTE-826 trial. Efficacy, safety, and economic data from both trial and real-world practices were utilized to determine the costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER) of the treatment strategies. Comprehensive insights were gained through the sensitivity and subgroup analyses. Results: Over five years, the combination of pembrolizumab, chemotherapy, and bevacizumab offered an additional 1.18 QALYs compared to that provided by standard treatments. This regimen increased the costs by US$ 134,502.57, resulting in an ICER of US$ 114,275.67 per QALY, relative to traditional treatment costs. The ICER for the pembrolizumab regimen was further calibrated to be US$ 52,765.69 per QALY. Both ICER values surpassed China's established willingness-to-pay threshold. Importantly, subgroup analysis revealed enhanced cost-effectiveness in patients presenting with a programmed death-ligand 1 combined positive score (PD-L1 CPS) ≥10. Conclusion: Introducing pembrolizumab alongside chemotherapy and bevacizumab may not be a cost-effective primary strategy for advanced cervical cancer against current standards. However, for patients with a PD-L1 CPS ≥10, the therapeutic and economic outcomes could be improved by adjusting the pembrolizumab price.

Comparing the application of three thrombosis risk assessment models in patients with acute poisoning: A cross-sectional survey.

Background: Patients with acute toxic hemoperfusion are prone to deep vein thrombosis. However, there is no risk assessment model for thrombosis in patients with acute toxic hemoperfusion. Therefore, we compared three commonly used risk assessment models for deep vein thrombosis to determine the model most suitable for assessment of deep vein thrombosis in patients with acute toxic hemoperfusion. Methods: Caprini, Autar, and Padua thrombosis risk assessment models were used to assess the risk of deep vein thrombosis in patients with acute poisoning and hemoperfusion admitted to a grade A hospital in Shandong province from October 2017 to February 2019. The predictive values of the three models were compared using receiver operating characteristic (ROC) curve analysis. Results: The risk assessment model scores of Caprini, Autar, and Padua were 7.55 ± 1.76, 8.63 ± 2.36, and 3.92 ± 0.55, respectively. The Caprini risk assessment model was significantly different (p < 0.05) in high-risk patients in the thrombus and non-thrombotic groups; the difference between the other two models was not significant (p > 0.05). The areas under the ROC curve of the Caprini, Autar, and Padua risk assessment models were 0.673, 0.585, and 0.535, respectively. The difference in areas under the ROC curve between the Caprini risk assessment model and the Autar risk assessment model as well as the Padua risk assessment model was significant (p < 0.05), but the areas under the ROC curve of the Autar risk assessment model and the Padua risk assessment model were not statistically significant (p > 0.05). The Caprini risk assessment model had a sensitivity of 91.9%, specificity of 33.1%, and a Youden index of 0.249. The sensitivity and specificity of Autar's risk assessment model were 37.0 and 77.2%, respectively, and the Youden index was 0.141. The Padua risk assessment model had a sensitivity of 91.3%, specificity of 15.0%, and a Youden index of 0.063. Conclusion: The three thrombosis risk assessment models were not suitable for patients with acute poisoning and hemoperfusion.

Differential diagnosis of Crohn's disease and intestinal tuberculosis: development and assessment of a nomogram prediction model.

BACKGROUND: China is a region with a high incidence of tuberculosis, and the incidence of IBD has also been rising rapidly in recent years. Differentiating Crohn's disease(CD) from intestinal tuberculosis (ITB) has become a very challenging issue. We aimed to develop and assess a diagnostic nomogram to differentiate between CD and ITB to improve the accuracy and practicability of the model. METHODS: A total of 133 patients (CD 90 and ITB 43) were analyzed retrospectively. Univariate and multivariate logistic regression analysis was included to determine the independent predictive factors and establish the regression equation. On this basis, the nomogram prediction model was constructed. The discrimination, calibration and clinical efficiency of the nomogram were assessed using area under the curve(AUC), C-index, calibration curve, decision curve analysis (DCA) and clinical impact curve. RESULTS: T-SPOT positive, cobblestone appearance, comb sign and granuloma were significant predictors in differentiating CD from ITB. Base on the above independent predictors, a diagnostic nomogram was successfully established. The sensitivity, specificity, accuracy of the prediction model are 94.4%, 93.0%, 94.0% respectively. The AUC and the C-index of the prediction model are both 0.988, which suggest that the model had a good discrimination power. The calibration curve indicated a high calibration degree of the prediction model. The DCA and clinical impact curve indicated a good clinical efficiency of the prediction model which could bring clinical benefits. CONCLUSION: A nomogram prediction model for distinguishing CD from ITB was developed and assessed, with high discrimination, calibration and clinical efficiency. It can be used as an accurate and convenient diagnostic tool to distinguish CD from ITB, facilitating clinical decision-making.

Achieving Accurate Automatic Sleep Apnea/Hypopnea Syndrome Assessment Using Nasal Pressure Signal.

Automatic assessment of sleep apnea/ hypopnea syndrome (SAHS) based on fewer physiological signals is critical for the success of healthcare at home. However, previous studies that use such settings only achieve a lower assessment accuracy, causing fewer syndromes to be separated for effective diagnosis. This paper presents a 3-stage support vector machines (SVM)-based algorithm for SAHS assessment using a single-channel nasal pressure (NP) signal. In this work, NP signal is utilized for feature extraction. Amplitude features, as well as those extracted using discrete Fourier transform and discrete wavelet transform, are used for machine learning. A total of 58 sets of polysomnography recordings, each with approximately 7 h in duration, were analyzed. This work achieves a sensitivity of 95.7% and a positive predictive value of 90.9%, outperforming previous works using NP signal. Compared with prior studies using only SpO2 signal, this work still achieves better performance and supports more classification levels. Thanks to the low-complexity settings based only on the NP signal, the proposed approach provides a promising solution to SAHS assessment for remote healthcare.

A Demand-Centric Repositioning Strategy for Bike-Sharing Systems.

Transport-sharing systems are eco-friendly and the most promising services in smart urban environments, where the booming Internet of things (IoT) technologies play an important role in the smart infrastructure. Due to the imbalanced bike distribution, bikes and stalls in the docking stations could be unavailable when needed, leading to bad customer experiences. We develop a dynamic repositioning strategy for the management of bikes in this paper, which supports dispatchers to keep stations in service. Two open datasets are examined, and the exploratory data analysis presents that there is a significant difference of travel patterns between working and non-working days, where the former has an excess demand at rush hours and the latter is usually at a low demand. To evaluate the effect when the demand outstrips a station's capacity, we propose a non-linear scaling technique to transform demand patterns and perform the clustering analysis for each of five categories obtained from the sophisticated analysis of the dataset. Our repositioning strategy is developed according to the transformed demands. Compared with the previous work, numerical simulations reveal that our strategy has a better performance for high-demand stations, and thus can substantially reduce the repositioning cost, which brings benefit to bike-sharing operators for managing the city bike system.

Cost-Effectiveness of Nivolumab Immunotherapy vs. Paclitaxel or Docetaxel Chemotherapy as Second-Line Therapy in Advanced Esophageal Squamous Cell Carcinoma in China.

This study aimed to evaluate and compare nivolumab's cost-effectiveness with chemotherapy in patients with advanced esophageal squamous cell carcinoma from the Chinese healthcare system perspective. To this end, the researchers utilized a partitioned survival model with three mutually exclusive health stages. The characteristics of the patients used as inclusion and exclusion criteria in this model were the same as those used for patients with advanced esophageal squamous cell carcinoma in the ATTRACTION-3 study. The ATTRACTION-3 trial, which took place between January 7, 2016 and November 12, 2018, also yielded important clinical data. Data on medical and economic preferences were collected from real-world clinical practices. Costs, quality-adjusted life years, and incremental cost-effectiveness ratio were calculated for the two therapy options. The model uncertainty was investigated using a deterministic and probabilistic sensitivity analysis. When compared to chemotherapy, nivolumab was linked with an increase of 0.28 quality-adjusted life years with an increased cost of US$ 36,956.81 per patient in the base case analysis of a hypothetical sample of 419 patients. The incremental cost-effectiveness ratio in the deterministic sensitivity analysis was US$ 132,029.46/quality-adjusted life year, with a 48.02% probability of being cost-effective at willingness-to-pay thresholds of US$ 132,029.22/quality-adjusted life year. The incremental cost-effectiveness ratio remained greater than US$ 80,000/quality-adjusted life year in the deterministic sensitivity analyses. To be more cost-effective and remain below the threshold of 37,653 US$/quality-adjusted life year, which the Chinese population can afford, nivolumab's price would have to be lowered sharply by 53.50%. Nivolumab is clinically beneficial but not cost-effective when compared to chemotherapy. A substantial reduction in nivolumab's drug acquisition cost would be necessary to make it cost-effective for immunotherapy.

The Disease Burden of Primary Intracerebral Hemorrhage in Hunan Province, China in 2018.

BACKGROUND: Hunan Province is a region in China with a high prevalence of intracerebral hemorrhage, especially primary intracerebral hemorrhage (PICH). The objective of this observational study was to assess the disease burden of PICH. METHODS: We searched the Hunan Provincial Health Statistics Direct Reporting and Decision Analysis System to retrieve PICH inpatient and outpatient data and all-population all-cause deaths in Hunan Province in 2018. DisMod II was used to estimate the disability-adjusted life years (DALYs) due to PICH in 2018. RESULTS: In 2018, 30,400 new PICH cases were recorded in Hunan Province. The incidence was higher among men (51.6 per 100,000) than women (29.3 per 100,000). The DALYs due to PICH were 478,000 patient-years, the years of life lost (YLLs) were 452,000 patient-years and the years lived with disability (YLDs) were 27,000 patient-years. In 2018, the rate of DALYs due to PICH was 6.4 patient-years per 1000 individuals, the rate of YLLs was 6.1 patient-years per 1000 individuals, and the rate of YLDs was 0.3 patient-years per 1000 individuals. CONCLUSION: We estimated the DALYs due to PICH in Hunan Province in 2018, thereby providing relevant data for the development of policies and measures for the management of PICH disease burden.

Cost-Effectiveness Analysis of Camrelizumab Immunotherapy versus Docetaxel or Irinotecan Chemotherapy as Second-Line Therapy for Advanced or Metastatic Esophageal Squamous Cell Carcinoma.

PURPOSE: The aim of this study was to assess the cost-effectiveness of camrelizumab immunotherapy versus docetaxel or irinotecan chemotherapy as second-line therapy for advanced esophageal squamous cell carcinoma (ESCC), which was evaluated in the ESCORT trial. MATERIALS AND METHODS: A partitioned survival model was developed to reflect the costs and effectiveness of the ESCORT trial. The clinical efficacy data, safety data, and health-related costs and utilities were derived from published data from clinical trials or health administration departments in China. Adverse event-related costs, drug administration, and other expenses were derived from a single center of Fujian Medical University Cancer Hospital in 2021. All survival analyses were performed with SPSS software. Overall survival was estimated with the Kaplan-Meier method, and progression-free survival was estimated with the life table method. Sensitivity analyses were conducted to assess the uncertainty of the model. Incremental cost, quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER) were calculated. RESULTS: Camrelizumab therapy had 0.232 QALYs at an incremental cost of USD$9959.44 compared with the chemotherapy group with 0.158 QALYs at an incremental cost of USD$8601.67. The ICER was USD$18393.12/QALY. Probabilistic sensitivity analyses showed that when the willingness-to-pay threshold reached USD$31200/QALY, which is nearly three times the Chinese gross domestic product per capita, camrelizumab had an 80% possibility of being cost-effective versus docetaxel or irinotecan chemotherapy. CONCLUSION: Camrelizumab is a cost-effective option compared with docetaxel or irinotecan chemotherapy in patients with advanced ESCC as second-line therapy in China.

Trends of Antibiotic Use and Expenditure After an Intensified Antimicrobial Stewardship Policy at a 2,200-Bed Teaching Hospital in China.

Objective: This study aimed to evaluate the effects of intensified Chinese special rectification activity on clinical antibiotic use (CSRA) policy on a tertiary-care teaching hospital. Methods: A 48-month longitudinal dataset involving inpatients, outpatients, and emergency patients were collected. Study period included pre-intervention stage (adopting soft measures like systemic training) and post-intervention stage (applying antibiotic control system to intensify CSRA policy). Antibiotic use was evaluated by antibiotic use rate (AUR) or antibiotic use density (AUD). Economic indicator was evaluated by antibiotic cost in prescription or antibiotic expenditure in hospitalization. Data was analyzed by interrupted time series (ITS) analysis. Results: The medical quality indicators remained stable or improved during the study period. AUR of inpatients (AURI) declined 0.553% per month (P = 0.025) before the intervention and declined 0.354% per month (P = 0.471) after the intensified CSRA policy was implemented. AUD, expressed as defined daily doses per 100 patients per day (DDDs/100PD), decreased by 1.102 DDDs/100PD per month (P = 0.021) before and decreased by 0.597 DDDs/100PD per month (P = 0.323) thereafter. The ratio of antibiotic expenditure to medication expenditure (AE/ME) decreased by 0.510% per month (P = 0.000) before and fell by 0.096% (P = 0.000) per month thereafter. AE per patient decreased by 25.309 yuan per month (P = 0.002) before and decreased by 7.987 yuan per month (P = 0.053) thereafter. AUR of outpatient (AURO) decreased by 0.065% per month before (P = 0.550) and decreased by 0.066% per month (P = 0.994) thereafter. The ratio of antibiotic cost to prescription cost in outpatient (ACO/PCO) decreased by 0.182% per month (P = 0.506) before and decreased by 0.216% per month (P = 0.906) thereafter. AUR of emergency patient (AURE) decreased by 0.400% per month (P = 0.044) before and decreased by 0.092% per month (P = 0.164) thereafter. The ratio of antibiotic cost to prescription cost in emergency patient (ACE/PCE) decreased by 0.616% per month (P < 0.001) before and decreased by 0.151% per month (P < 0.001) thereafter. Conclusions: Implementation of CSRA policy was associated with declining antibiotic use and antibiotic expenditure in inpatients, outpatients, and emergency patients. However, it is also important to note that the declining trend of antibiotic consumption slowed due to the limited capacity for decline in the later stages of CSRA intervention.

Tag-seq: a convenient and scalable method for genome-wide specificity assessment of CRISPR/Cas nucleases.

Genome-wide identification of DNA double-strand breaks (DSBs) induced by CRISPR-associated protein (Cas) systems is vital for profiling the off-target events of Cas nucleases. However, current methods for off-target discovery are tedious and costly, restricting their widespread applications. Here we present an easy alternative method for CRISPR off-target detection by tracing the integrated oligonucleotide Tag using next-generation-sequencing (CRISPR-Tag-seq, or Tag-seq). Tag-seq enables rapid and convenient profiling of nuclease-induced DSBs by incorporating the optimized double-stranded oligodeoxynucleotide sequence (termed Tag), adapters, and PCR primers. Moreover, we employ a one-step procedure for library preparation in Tag-seq, which can be applied in the routine workflow of a molecular biology laboratory. We further show that Tag-seq successfully determines the cleavage specificity of SpCas9 variants and Cas12a/Cpf1 in a large-scale manner, and discover the integration sites of exogenous genes introduced by the Sleeping Beauty transposon. Our results demonstrate that Tag-seq is an efficient and scalable approach to genome-wide identification of Cas-nuclease-induced off-targets.