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  • Ovid Technologies (Wolters Kluwer Health)  (5)
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  • Ovid Technologies (Wolters Kluwer Health)  (5)
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  • 1
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  European Journal of Gastroenterology & Hepatology Vol. 31, No. 3 ( 2019-03), p. 382-388
    In: European Journal of Gastroenterology & Hepatology, Ovid Technologies (Wolters Kluwer Health), Vol. 31, No. 3 ( 2019-03), p. 382-388
    Abstract: A combination of sofosbuvir (SOF)+NS5A inhibitor therapies is the main treatment for patients with hepatitis C virus (HCV) genotype-2 (GT-2) chronic infection, but the data are rarely reported in China. This study aimed to investigate the virological response and liver fibrosis improvement among GT-2 patients receiving SOF+NS5A inhibitors. Patients and methods In this retrospective study, patients who received SOF+NS5A inhibitors between March 2016 and July 2017 were recruited. The treatment duration was 12 weeks and the treatment strategies included SOF+daclatasvir, SOF/ledipasvir, and SOF/velpatasvir. The primary endpoint was a sustained virologic response (serum HCV RNA undetectable) at week 12 after the end of therapy and the secondary endpoint was the improvement in liver stiffness and scores of apartate aminotransferase to platelet ratio index and fibrosis-4. Results A total of 30 GT-2 patients were enrolled, with 13 (43.3%) patients in SOF+daclatasvir, 13 (43.3%) patients in SOF/ledipasvir, and four (13.3%) patients in SOF/velpatasvir. All patients [30/30 (100%)] achieved SVR, irrespective of treatment regimens and degree of liver fibrosis. After the treatment, liver fibrosis scores of apartate aminotransferase to platelet ratio index (2.27±2.14 vs. 0.89±0.77, P =0.003) and fibrosis-4 (1.17±1.22 vs. 0.42±0.25, P =0.013) were both significantly lower than those before treatment. Conclusion SOF+NS5A inhibitor therapies may induce an excellent virological response and fibrosis improvement in HCV GT-2-infected patients.
    Type of Medium: Online Resource
    ISSN: 0954-691X
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2030291-5
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  • 2
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2020
    In:  Medicine Vol. 99, No. 8 ( 2020-02), p. e19218-
    In: Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 99, No. 8 ( 2020-02), p. e19218-
    Abstract: To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China. Symptoms and signs, abnormal lab test results, epidemiological features, as well as the incidence rates were treated as predictors, and were collected from the published literature and a national surveillance system of infectious disease. A classification model was established using naïve Bayesian classifier. Dataset from historical outbreaks was applied for model validation, while sensitivity, specificity, accuracy, area under the receiver operating characteristic curve (AUC) and M-index were presented. A total of 146 predictors were included in the classification model, for discriminating 25 common infectious diseases. The sensitivity ranged from 44.44% for hepatitis E to 96.67% for measles. The specificity varied from 96.36% for dengue fever to 100% for 5 diseases. The median of total accuracy was 97.41% (range: 93.85%–99.04%). The AUCs exceeded 0.98 in 11 of 12 diseases, except in dengue fever (0.613). The M-index was 0.960 (95%CI 0.941–0.978). A novel classification model was constructed based on Bayesian approach to discriminate common infectious diseases in Zhejiang province, China. After entering symptoms and signs, abnormal lab test results, epidemiological features and city of disease origin, an output list of possible diseases ranked according to the calculated probabilities can be provided. The discrimination performance was reasonably good, making it useful in epidemiological applications.
    Type of Medium: Online Resource
    ISSN: 0025-7974 , 1536-5964
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2049818-4
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2020
    In:  Journal of Hypertension Vol. 38, No. 11 ( 2020-11), p. 2252-2260
    In: Journal of Hypertension, Ovid Technologies (Wolters Kluwer Health), Vol. 38, No. 11 ( 2020-11), p. 2252-2260
    Abstract: It remains controversial to claim blood pressure (BP) as a leading risk factor for high risk of death in peritoneal dialysis patients, and less is known about the relationship between BP and mortality in Chinese peritoneal dialysis patients. Methods: From Zhejiang Renal Data System in China, we collected data on patients treated and followed up at 98 peritoneal dialysis centres from 2008 to 2016. The associations of BP parameters [SBP, DBP, mean arterial pressure (MAP) and pulse pressure (PP)] with all-cause and cardiovascular mortality were examined. We fitted Cox models for mortality with penalized splines using nonparametric smoothers. Several sensitivity analyses were performed to confirm the robustness of our primary findings. Results: A total of 7335 Chinese peritoneal dialysis patients were included. During a median follow-up of 35.8 months, 1281 (17.5%) patients died. SBP, DBP, MAP follow a U-shaped pattern of both all-cause and cardiovascular mortality. PP presents a reverse L-shaped association with all-cause mortality. Either a higher (SBP 〉 141, DBP 〉 85 or MAP 〉 102 mmHg) or lower (SBP 〈 119, DBP 〈 67 or MAP 〈 88 mmHg) BP tends to have a significantly higher all-cause and cardiovascular mortality risk. Higher PP ( 〉 60 mmHg) is related to a higher risk of all-cause mortality, but not cardiovascular mortality. These associations remain the same in our competing risk analysis and subgroup analyses. Conclusion: These data indicate U-shaped associations of SBP, DBP and MAP with all-cause mortality and cardiovascular mortality, respectively, and a reverse L-shaped association of PP with all-cause mortality. Further studies are needed to reliably establish the optimal BP targets for better hypertension control in peritoneal dialysis patients.
    Type of Medium: Online Resource
    ISSN: 0263-6352 , 1473-5598
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2017684-3
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  • 4
    In: Shock, Ovid Technologies (Wolters Kluwer Health), Vol. 61, No. 2 ( 2024-2), p. 274-282
    Abstract: Crush syndrome (CS), alternatively termed traumatic rhabdomyolysis, is a paramount posttraumatic complication. Given the infeasibility of conducting direct simulation research in humans, the role of animal models is pivotal. Regrettably, the dearth of standardized animal models persists. The objective of this study was to construct a repeatable standardized rat CS models and, based on this, simulate specific clinical scenarios. Methods: Using a self-developed multichannel intelligent small-animal crush injury platform, we applied a force of 5 kg to the hind limbs of 8-week-old rats (280–300 g), subjecting them to a continuous 12 h compression to establish the CS model. Continuous monitoring was conducted for both the lower limbs and the overall body status. After decompression, biochemical samples were collected at 3, 6, 12, and 24 h. In addition, we created a CS model after resection of the left kidney (UNx-CS), which was conceptualized to simulate a more challenging clinical scenario to investigate the physiological and pathological responses rats with renal insufficiency combined with crush injury. The results were compared with those of the normal CS model group. Results : Our experiments confirm the stability of the crush injury platform. We defined the standardized conditions for modeling and successfully established rats CS model in bulk. After 12 h of compression, only 40% of the rats in the CS group survived for 24 h. Systemically, there was clear evidence of insufficient perfusion, reflecting the progression of CS from localized to generalized. The injured limbs displayed swelling, localized perfusion deficits, and severe pathological alterations. Significant changes were observed in blood biochemical markers: aspartate transaminase, lactate dehydrogenase, K+, creatine kinase, creatinine, and blood urea nitrogen levels rose rapidly after decompression and were significantly higher than the sham group. The kidney demonstrated characteristic pathological changes consistent with established CS diagnostic criteria. Although the UNx-CS rat model did not exhibit significant biochemical differences and pathological scores when compared with the standard CS model, it did yield intriguing results with regard to kidney morphology. The UNx-CS group manifested a higher incidence of cortical and medullary protein casts compared with the NC-CS group. Conclusion: We developed and iteratively refined a novel digital platform, addressing the multiple uncontrollable variables that plagued prior models. This study validated the stability of the platform, defined the standardized conditions for modeling and successfully established the CS model with good repeatability in bulk. In addition, our innovative approach to model a clinically challenging scenario, the UNx-CS rat model. This offers an opportunity to delve deeper into understanding the combined effects of preexisting renal compromise and traumatic injury. In summary, the development of a standardized, reproducible CS model in rats represents a significant milestone in the study of Crush syndrome. This study is of paramount significance as it advances the standardization of the CS model, laying a solid foundation for subsequent studies in related domains, especially in CS-AKI.
    Type of Medium: Online Resource
    ISSN: 1073-2322
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2024
    detail.hit.zdb_id: 2011863-6
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  • 5
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2022
    In:  Health Physics Vol. 122, No. 5 ( 2022-5), p. 594-606
    In: Health Physics, Ovid Technologies (Wolters Kluwer Health), Vol. 122, No. 5 ( 2022-5), p. 594-606
    Abstract: A quasi-dynamic food chain model (Chi-FDMT) was developed to predict the consequences of nuclear accidents on the food chain through the ingestion pathway in Chinese agricultural conditions. The Chi-FDMT structure is based on ECOSYS-87, with some revised calculation processes and the adoption of new parameters; herein, it was applied to two regions in China. The model was used to estimate the spatial and temporal patterns of crop plant activity and ingestion dose in the Chinese agricultural environment at the scale of the Fukushima nuclear disaster. A comparative study between Chi-FDMT and an equilibrium model demonstrated good agreement for depositions occurring during the growth season. The parameter sensitivity analysis of Chi-FDMT indicated that the parameters of food intake and processing factor are sensitive, and the sensitivity of the transfer factors within plant and soil-plant systems are dependent on the deposition scenario.
    Type of Medium: Online Resource
    ISSN: 1538-5159 , 0017-9078
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
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