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  • 1
    In: Aging and disease, Aging and Disease, Vol. 14, No. 5 ( 2023), p. 1870-
    Type of Medium: Online Resource
    ISSN: 2152-5250
    Language: English
    Publisher: Aging and Disease
    Publication Date: 2023
    detail.hit.zdb_id: 2625789-0
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  • 2
    In: Quality of Life Research, Springer Science and Business Media LLC, Vol. 29, No. 11 ( 2020-11), p. 3009-3015
    Type of Medium: Online Resource
    ISSN: 0962-9343 , 1573-2649
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2008960-0
    SSG: 5,1
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  International Journal of Epidemiology Vol. 49, No. 6 ( 2021-01-23), p. 1918-1929
    In: International Journal of Epidemiology, Oxford University Press (OUP), Vol. 49, No. 6 ( 2021-01-23), p. 1918-1929
    Abstract: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection early. Methods Demographic, clinical and first laboratory findings after admission of 183 patients with severe COVID-19 infection (115 survivors and 68 non-survivors from the Sino-French New City Branch of Tongji Hospital, Wuhan) were used to develop the predictive models. Machine learning approaches were used to select the features and predict the patients’ outcomes. The area under the receiver operating characteristic curve (AUROC) was applied to compare the models’ performance. A total of 64 with severe COVID-19 infection from the Optical Valley Branch of Tongji Hospital, Wuhan, were used to externally validate the final predictive model. Results The baseline characteristics and laboratory tests were significantly different between the survivors and non-survivors. Four variables (age, high-sensitivity C-reactive protein level, lymphocyte count and d-dimer level) were selected by all five models. Given the similar performance among the models, the logistic regression model was selected as the final predictive model because of its simplicity and interpretability. The AUROCs of the external validation sets were 0.881. The sensitivity and specificity were 0.839 and 0.794 for the validation set, when using a probability of death of 50% as the cutoff. Risk score based on the selected variables can be used to assess the mortality risk. The predictive model is available at [https://phenomics.fudan.edu.cn/risk_scores/]. Conclusions Age, high-sensitivity C-reactive protein level, lymphocyte count and d-dimer level of COVID-19 patients at admission are informative for the patients’ outcomes.
    Type of Medium: Online Resource
    ISSN: 0300-5771 , 1464-3685
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 1494592-7
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  • 4
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  European Journal of Gastroenterology & Hepatology Vol. 35, No. 3 ( 2023-03), p. 294-301
    In: European Journal of Gastroenterology & Hepatology, Ovid Technologies (Wolters Kluwer Health), Vol. 35, No. 3 ( 2023-03), p. 294-301
    Abstract: Concomitant hepatitis B virus infection and nonalcoholic fatty liver disease (NAFLD) are relatively common, while little is known about the impact of anti-hepatitis B core antibody (anti-HBc) on NAFLD individuals. We aimed to investigate the association of positive anti-HBc with advanced fibrosis and mortality in NAFLD. Methods We analyzed data from 3268 NAFLD participants who underwent abdominal ultrasonography during the Third National Health and Nutrition Examination Survey (NHANES III). The fibrosis 4 index (FIB-4) score 〉 2.67, NAFLD fibrosis score 〉 0.676, or aspartate aminotransferase to platelet ratio index 〉 1.5 were defined as advanced fibrosis. All-cause and cause-specific mortality were obtained from the NHANES III-linked follow-up file through 31 December 2015. Results A total of 242 (7.4%) patients had positive anti-HBc. Patients with positive anti-HBc had a higher percentage of advanced fibrosis than those with negative anti-HBc (12.2% vs. 5.8%). Positive anti-HBc was significantly associated with advanced fibrosis [adjusted odds ratio = 1.69, 95% confidence interval (CI), 1.05–2.72]. During a median follow-up of 22 years, the cumulative all-cause and cancer-related mortalities were higher in participants with positive anti-HBc than in their counterparts (log-rank test P   〈  0.001). When demographic and metabolic risk factors were considered, NAFLD cases with positive anti-HBc had a significantly higher cancer-related mortality (adjusted hazard ratio = 1.54, 95% CI, 1.05–2.25). Conclusion Our findings suggested that NAFLD cases with positive anti-HBc had higher risks for liver fibrosis and long-term mortality, justifying the medical importance of testing anti-HBc in NAFLD patients.
    Type of Medium: Online Resource
    ISSN: 0954-691X
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2030291-5
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  • 5
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 33, No. 7 ( 2023-03-21), p. 3511-3522
    Abstract: Acupuncture is effective in treating functional dyspepsia (FD), while its efficacy varies significantly from different patients. Predicting the responsiveness of different patients to acupuncture treatment based on the objective biomarkers would assist physicians to identify the candidates for acupuncture therapy. One hundred FD patients were enrolled, and their clinical characteristics and functional brain MRI data were collected before and after treatment. Taking the pre-treatment functional brain network as features, we constructed the support vector machine models to predict the responsiveness of FD patients to acupuncture treatment. These features contributing critically to the accurate prediction were identified, and the longitudinal analyses of these features were performed on acupuncture responders and non-responders. Results demonstrated that prediction models achieved an accuracy of 0.76 ± 0.03 in predicting acupuncture responders and non-responders, and a R2 of 0.24 ± 0.02 in predicting dyspeptic symptoms relief. Thirty-eight functional brain network features associated with the orbitofrontal cortex, caudate, hippocampus, and anterior insula were identified as the critical predictive features. Changes in these predictive features were more pronounced in responders than in non-responders. In conclusion, this study provided a promising approach to predicting acupuncture efficacy for FD patients and is expected to facilitate the optimization of personalized acupuncture treatment plans for FD.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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  • 6
    In: Cerebral Cortex, Oxford University Press (OUP), Vol. 32, No. 15 ( 2022-07-21), p. 3347-3358
    Abstract: The diagnosis of functional dyspepsia (FD) presently relies on the self-reported symptoms. This study aimed to determine the potential of functional brain network features as biomarkers for the identification of FD patients. Firstly, the functional brain Magnetic Resonance Imaging data were collected from 100 FD patients and 100 healthy subjects, and the functional brain network features were extracted by the independent component analysis. Then, a support vector machine classifier was established based on these functional brain network features to discriminate FD patients from healthy subjects. Features that contributed substantially to the classification were finally identified as the classifying features. The results demonstrated that the classifier performed pretty well in discriminating FD patients. Namely, the accuracy of classification was 0.84 ± 0.03 in cross-validation set and 0.80 ± 0.07 in independent test set, respectively. A total of 15 connections between the subcortical nucleus (the thalamus and caudate) and sensorimotor cortex, parahippocampus, orbitofrontal cortex were finally determined as the classifying features. Furthermore, the results of cross-brain atlas validation showed that these classifying features were quite robust in the identification of FD patients. In summary, the current findings suggested the potential of using machine learning method and functional brain network biomarkers to identify FD patients.
    Type of Medium: Online Resource
    ISSN: 1047-3211 , 1460-2199
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 1483485-6
    SSG: 12
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  • 7
    Online Resource
    Online Resource
    Frontiers Media SA ; 2023
    In:  International Journal of Public Health Vol. 68 ( 2023-9-12)
    In: International Journal of Public Health, Frontiers Media SA, Vol. 68 ( 2023-9-12)
    Abstract: Objective: To investigate the details of environmental contamination status by SARS-CoV-2 in a makeshift COVID-19 hospital. Methods: Environmental samples were collected from a makeshift hospital. The extent of contamination was assessed by quantitative reverse transcription polymerase chain reaction (RT-qPCR) for SARS-CoV-2 RNA from various samples. Results: There was a wide range of total collected samples contaminated with SARS-CoV-2 RNA, ranging from 8.47% to 100%. Results revealed that 70.00% of sewage from the bathroom and 48.19% of air samples were positive. The highest rate of contamination was found from the no-touch surfaces (73.07%) and the lowest from frequently touched surfaces (33.40%). The most contaminated objects were the top surfaces of patient cubic partitions (100%). The median Ct values among strongly positive samples were 33.38 (IQR, 31.69–35.07) and 33.24 (IQR, 31.33–34.34) for ORF1ab and N genes, respectively. SARS-CoV-2 relic RNA can be detected on indoor surfaces for up to 20 days. Conclusion: The findings show a higher prevalence and persistence in detecting the presence of SARS-CoV-2 in the makeshift COVID-19 hospital setting. The contamination mode of droplet deposition may be more common than contaminated touches.
    Type of Medium: Online Resource
    ISSN: 1661-8564
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2276416-1
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  • 8
    In: Molecular Oncology, Wiley, Vol. 14, No. 12 ( 2020-12), p. 3184-3197
    Abstract: Hepatocellular carcinoma (HCC) is among the leading causes of cancer‐related mortality worldwide. Our previous study identified a novel alternative splicing variant of prenyl diphosphate synthase subunit 2 (PDSS2) in HCC characterized by a deletion of exon 2, named PDSS2‐Del2, which is devoid of the tumor‐suppressive function of full‐length PDSS2 (PDSS2‐FL). To better understand the clinical significance of PDSS2‐Del2, we performed a BaseScope™ assay on an HCC tissue microarray and found that positive staining for PDSS2‐Del2 predicted a worse overall survival in patients with HCC ( P  = 0.02). PDSS2‐Del2 levels correlated significantly with microvessel counts in HCC tumor tissues. Importantly, PDSS2‐Del2 overexpression functionally promoted HCC metastasis, as demonstrated by in vitro and in vivo migration assays. In vivo assays also demonstrated that PDSS2‐Del2 increased angiogenesis in xenografts. Furthermore, we discovered that elevated PDSS2‐Del2 expression in HCC tumor cells decreased fumarate levels and activated the canonical nuclear factor‐κB pathway. The epithelial‐to‐mesenchymal transition (EMT) and WNT/β‐catenin signaling pathways were also activated by overexpression. Dimethyl fumarate (DMF), a fumaric acid ester, effectively reduced the metastasis induced by PDSS2‐Del2 as observed with in vivo spleen‐liver metastasis animal experiments. DMF is a prescribed oral therapy for multiple sclerosis and it might be a potential treatment for metastasis of patients with HCC. Early clinical trials are needed to validate its potential in this context.
    Type of Medium: Online Resource
    ISSN: 1574-7891 , 1878-0261
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2322586-5
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  • 9
    In: Geological Journal, Wiley, Vol. 51, No. S1 ( 2016-08), p. 562-578
    Abstract: The ocean floor is leaky because it has numerous faults, cracks and joints upon formation and during the process of seafloor spreading. In time, these fractures are often closed after ocean floor cooling, hydrothermal circulation, and vein filling. The crack‐seal mechanism of fractures of the oceanic crust is thus important for understanding its kinematics, kinetics and evolution. Coring and log data from IODP Expedition 324 reveal that the Shatsky Rise, an oceanic plateau in the NW Pacific Ocean, developed abundant joints and veins, and some veins formed along previous joints. We use log data from the Formation Micro‐scanner Scanner (FMS) to reconstruct the original dip and dip direction of these structural elements. Using FMS microstructural analyses, the dip directions of joints and arrangement of solid inclusions in fibrous veins were examined for Holes U1347A, U1348A and U1349A. We found two types of veins, non‐fibrous and fibrous, based on their physical appearance and mineralogical composition. Common to all samples is a straight fibrous inclusion fabric, associated with bands oriented parallel to the vein wall and trails typically at high angles to the vein wall. Cross‐cutting relationships between the bands and the straight fibrous inclusions imply that inclusion bands reflect simple crack‐seal increments. In the veins, inclusion bands are a sufficient criterion to infer the crack‐seal mechanism. Further evidence for solid inclusions formed by the classic crack‐seal mechanism is given by inclusion bands in carbon crystals grown in basalts. During incorporation, solid inclusions can remain undeformed, depending on their orientation with respect to the opening and spreading direction of mid‐oceanic ridges. Simple displacement fields within the veins are recorded by straight crystal fibres, which track the opening direction. Based on the arrangement of solid inclusions within the veins, we suggest that the veins grew continuously during post‐tectonic vein formation. Solid inclusions formed by steady adhesion at the vein wall interface during crack sealing and growth of a few veins were driven by the force of crystallization and extension of mid‐oceanic ridges. Based on these two lines of evidence, we conclude that the formation of the Tamu Massif is consistent with the seafloor spreading history revealed by magnetic lineations, possibly accompanied with an interaction to the mantle plume head. In contrast, the formation of the Ori Massif, off the mid‐ocean ridge, has no obvious preferred stress field, deduced to be related to a mantle plume tail with interaction to the mid‐oceanic ridge. Copyright © 2016 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 0072-1050 , 1099-1034
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 1479201-1
    SSG: 13
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  • 10
    In: Frontiers in Neurology, Frontiers Media SA, Vol. 13 ( 2022-3-16)
    Abstract: Myelitis is an important complication in patients with tuberculous meningitis (TBM). However, a paucity of publications exists on the spectrum of neurological and MRI findings of TBM-related myelitis. The risk factors and prognosis of myelitis in patients with TBM are not fully understood. Therefore, this study aims to identify the risk factors, clinicoradiological features, and prognostic impact of myelitis for patients with TBM. Methods We conducted a retrospective study in our institution. Patients with TBM who were consecutively admitted during the period of August 2015 to December 2019 were included. We reviewed the demographic characteristics, clinical, laboratory and MRI findings, and clinical outcomes of all of the included patients. The diagnosis of myelitis was identified by a hyperintensity on T2-weighted images that were associated with cord edema, enlargement, and marginal or no enhancement on contrast-enhanced images. Results A total of 114 patients were included. Myelitis occurred in 19 (16.7%) patients, five of whom paradoxically developed myelitis. The common clinical signs of myelitis were paraparesis (738.9%), quadriparesis (844.4%), urinary retention or constipation (1,477.8%), and paresthesias in the lower limbs (1,052.6%). In the MRI findings, the hyperintensities on T2-weighted images involved more than 3 spinal cord segments. Myelitis was often combined with other forms of spinal cord injury, including 10 patients (52.6%) with spinal meningeal enhancement, 7 patients (36.8%) with enlargement of the central canal of the spinal cord, 6 patients (31.6%) with tuberculoma, and 4 patients (21.1%) with arachnoiditis and 1 patient (5.3%) with cerebrospinal fluid (CSF) loculations. None of the 5 patients with paradoxical myelitis were complicated with spinal meningeal enhancement and arachnoiditis, while 4 patients were complicated with enlargements of the central canal of the spinal cord. In multivariable analysis, a grade III disease severity on admission [ p = 0.003, odds ratio (OR) = 8.131, 95% CI: 2.080–31.779] and high CSF protein ( p = 0.033, OR = 1.698, 95% CI: 1.043–2.763) were independent risk factors for myelitis. After the 6 months follow-up, myelitis ( p = 0.030, OR = 13.297, 95% CI: 1.283–137.812) and disturbance of consciousness ( p = 0.042, OR = 12.625, 95% CI: 1.092–145.903) were independent risk factors for poor outcomes. Conclusion Myelitis was a common complication of TBM and independently predicted a poor outcome. A grade III disease severity and high CSF protein on admission were independent risk factors for myelitis. Paradoxical myelitis was rarely complicated with spinal meningeal enhancements and arachnoiditis, indicating that the immune reaction may play a dominant role.
    Type of Medium: Online Resource
    ISSN: 1664-2295
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2564214-5
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