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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Aging Clinical and Experimental Research Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    In: Aging Clinical and Experimental Research, Springer Science and Business Media LLC, Vol. 35, No. 3 ( 2023-01-04), p. 639-647
    Abstract: Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. The conventional model predicted postoperative infections was 0.728 (95% CI 0.688–0.768) with the sensitivity of 66.2% (95% CI 58.2–73.6) and specificity of 66.8% (95% CI 64.6–68.9). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545–0.737), and sensitivity and specificity were 34.2% (95% CI 19.6–51.4) and 88.8% (95% CI 85.6–91.6), respectively. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681–0.844) with the sensitivity of 63.2% (95% CI 46–78.2) and specificity of 80.5% (95% CI 76.6–84). Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.
    Type of Medium: Online Resource
    ISSN: 1720-8319
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 2
    In: British Journal of Anaesthesia, Elsevier BV, Vol. 120, No. 1 ( 2018-01), p. 146-155
    Type of Medium: Online Resource
    ISSN: 0007-0912
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 80074-0
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  • 3
    In: British Journal of Surgery, Oxford University Press (OUP), Vol. 106, No. 2 ( 2019-01-08), p. e73-e80
    Abstract: The Clavien–Dindo classification is perhaps the most widely used approach for reporting postoperative complications in clinical trials. This system classifies complication severity by the treatment provided. However, it is unclear whether the Clavien–Dindo system can be used internationally in studies across differing healthcare systems in high- (HICs) and low- and middle-income countries (LMICs). Methods This was a secondary analysis of the International Surgical Outcomes Study (ISOS), a prospective observational cohort study of elective surgery in adults. Data collection occurred over a 7-day period. Severity of complications was graded using Clavien–Dindo and the simpler ISOS grading (mild, moderate or severe, based on guided investigator judgement). Severity grading was compared using the intraclass correlation coefficient (ICC). Data are presented as frequencies and ICC values (with 95 per cent c.i.). The analysis was stratified by income status of the country, comparing HICs with LMICs. Results A total of 44 814 patients were recruited from 474 hospitals in 27 countries (19 HICs and 8 LMICs). Some 7508 patients (16·8 per cent) experienced at least one postoperative complication, equivalent to 11 664 complications in total. Using the ISOS classification, 5504 of 11 664 complications (47·2 per cent) were graded as mild, 4244 (36·4 per cent) as moderate and 1916 (16·4 per cent) as severe. Using Clavien–Dindo, 6781 of 11 664 complications (58·1 per cent) were graded as I or II, 1740 (14·9 per cent) as III, 2408 (20·6 per cent) as IV and 735 (6·3 per cent) as V. Agreement between classification systems was poor overall (ICC 0·41, 95 per cent c.i. 0·20 to 0·55), and in LMICs (ICC 0·23, 0·05 to 0·38) and HICs (ICC 0·46, 0·25 to 0·59). Conclusion Caution is recommended when using a treatment approach to grade complications in global surgery studies, as this may introduce bias unintentionally.
    Type of Medium: Online Resource
    ISSN: 0007-1323 , 1365-2168
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
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    detail.hit.zdb_id: 2006309-X
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  • 4
    In: Biomolecules, MDPI AG, Vol. 12, No. 12 ( 2022-12-13), p. 1871-
    Abstract: The misuse and abuse of antibiotics in livestock and poultry seriously endanger both human health and the continuously healthy development of the livestock and poultry breeding industry. Plant-derived bioactive compounds (curcumin, capsaicin, quercetin, resveratrol, catechin, lignans, etc.) have been widely studied in recent years, due to their extensive pharmacological functions and biological activities, such as anti-inflammatory, antioxidant, antistress, antitumor, antiviral, lowering blood glucose and lipids, and improving insulin sensitivity. Numerous studies have demonstrated that plant-derived bioactive compounds are able to enhance the host’s ability to resist or diminish diseases by regulating the abundance of its gut microbiota, achieving great potential as a substitute for antibiotics. Recent developments in both humans and animals have also highlighted the major contribution of gut microbiota to the host’s nutrition, metabolism, immunity, and neurological functions. Changes in gut microbiota composition are closely related to the development of obesity and can lead to numerous metabolic diseases. Mounting evidence has also demonstrated that plant-derived bioactive compounds, especially curcumin, can improve intestinal barrier function by regulating intestinal flora. Furthermore, bioactive constituents can be also directly metabolized by intestinal flora and further produce bioactive metabolites by the interaction between the host and intestinal flora. This largely enhances the protective effect of bioactive compounds on the host intestinal and whole body health, indicating that the bidirectional regulation between bioactive compounds and intestinal flora has great application potential in maintaining the host’s intestinal health and preventing or treating various diseases. This review mainly summarizes the latest research progress in the bioregulation between gut microbiota and plant-derived bioactive compounds, together with its application potential in humans and animals, so as to provide theoretical support for the application of plant-derived bioactive compounds as new feed additives and potential substitutes for antibiotics in the livestock and poultry breeding industry. Overall, based on this review, it can be concluded that plant-derived bioactive compounds, by modulating gut microbiota, hold great promise toward the healthy development of both humans and animal husbandry.
    Type of Medium: Online Resource
    ISSN: 2218-273X
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
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  • 5
    In: Journal of Water and Climate Change, IWA Publishing, Vol. 13, No. 3 ( 2022-03-01), p. 1370-1388
    Abstract: Climate is one of the main factors affecting agricultural water use. The variation of different climate factors will have a great impact on the balance of water supply, which will significantly aggravate the water-related threats to the sustainability of agricultural production. As a typical agricultural area of China, the Huang-Huai-Hai region is one of the major grain-producing areas. In order to evaluate the response of future agricultural water use to future uncertain changeable factors, this study assessed future agricultural water use with the coupling effect of climate change, irrigation efficiency and plantation structure change. The results showed that the temperature and precipitation both increased to different degrees under the two greenhouse gas emission and radiation forcing scenarios, which have great impacts on the crop water requirement (ETc) of main crops. Under RCP (Representative Concentration Pathways) 8.5, a 10% increase in the irrigation water utilization coefficient will reduce the regional irrigation water requirement by about 13 Gm3, and the adjustment of plantation structure will reduce the irrigation water consumption by about 11 Gm3. The quantitative analysis suggests that the improvement of the irrigation efficiency and the expansion of water-saving crop plantation areas in the future will moderate the adverse impact of climate change on agricultural water use. This study provides a reference for the management of agricultural water and the rational distribution of water resources under the future climate change.
    Type of Medium: Online Resource
    ISSN: 2040-2244 , 2408-9354
    Language: English
    Publisher: IWA Publishing
    Publication Date: 2022
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  • 6
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 42, No. 16_suppl ( 2024-06-01), p. e12628-e12628
    Abstract: e12628 Background: Neoadjuvant therapy (NAT) has now been widely used for patients with operable breast cancer (BC) to test drug sensitivity. Studies have indicated that early assessment of clinical response to NAT can help identify patients who are resistant to initial regimens, providing an additional opportunity to change treatment plan. However, there is a lack of evidence regarding the optimal timing for conducting early evaluations of clinical response. This prospective study was conducted to evaluate the association between early evaluation of clinical response at different timing (post 2 cycles versus post 4 cycles) and pCR post NAT, in order to determine the most appropriate timing for NAT response evaluation. Clinical evaluations using ultrasound and MRI (magnetic resonance imaging) were also compared. Methods: A prospective cohort study including BC patients who received NAT was conducted between January 2018 and December 2023. Multivariable logistic regression analysis was used to estimate the Odds Ratios (OR) and 95% confidence intervals (CI) for the clinical response evaluated at different timings in association with pCR. The heterogeneity of the associations for the post-cycle 2 and post-cycle 4 assessments was assessed. Linear regression analyses were used to assess the associations between extent of tumor reduction post 2 cycles and that post 4 cycles of NAT. Agreement of tumor measurements using ultrasound and MRI was also assessed. Results: A total of 186 BC patients were consecutively enrolled and included in this analysis. 55 (29.6%) of them achieved pCR. Partial response (PR) post 2 cycles and 4 cycles of NAT were both significantly associated with pCR post NAT, though the point estimate of association for PR post 2 cycles of NAT (OR=5.06, 95%CI:2.29-12.09) was more evident than that post 4 cycles (OR=2.79, 95%CI:1.20-7.21). Extent of tumor reduction post two cycles of NAT was highly correlated with that post four cycles (r=0.89, 95%CI=0.79-0.98, P 〈 0.01). Poor concordance was observed between ultrasound and MRI measurements of tumor size, whether at initial diagnosis (r=0.66, adjusted r 2 =0.43) or after two cycles of NAT (r=0.59, adjusted r 2 =0.35). Among those patients who had PR post 2 cycles of NAT, tumor reduction by greater than 50% was not associated with higher probability of reaching pCR in comparison to those lower than 50% (OR=1.86, 95%CI=0.82-4.37, P=0.143). Conclusions: Tumor response assessed using MRI after two cycles of NAT was highly correlated with pCR, and may be adopted as an optimal strategy for early evaluation of the efficacy of NAT regimen. Further studies are warranted to evaluate changes in treatment plan at early phase of NAT for those resistant to initial regimens.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2024
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    detail.hit.zdb_id: 604914-X
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  • 7
    In: Advanced Healthcare Materials, Wiley
    Abstract: An interbody fusion cage (Cage) is crucial in spinal decompression and fusion procedures for restoring normal vertebral curvature and rebuilding spinal stability. Currently, these Cages suffer from issues related to mismatched elastic modulus and insufficient bone integration capability. Therefore, a gel‐casting technique is utilized to fabricate a biomimetic porous titanium alloy material from Ti6Al4V powder. The biomimetic porous Ti6Al4V is compared with polyetheretherketone (PEEK) and 3D‐printed Ti6Al4V materials and their respective Cages. Systematic validation is performed through mechanical testing, in vitro cell, in vivo rabbit bone defect implantation, and ovine anterior cervical discectomy and fusion experiments to evaluate the mechanical and biological performance of the materials. Although all three materials demonstrate good biocompatibility and osseointegration properties, the biomimetic porous Ti6Al4V, with its excellent mechanical properties and a structure closely resembling bone trabecular tissue, exhibited superior bone ingrowth and osseointegration performance. Compared to the PEEK and 3D‐printed Ti6Al4V Cages, the biomimetic porous Ti6Al4V Cage outperforms in terms of intervertebral fusion performance, achieving excellent intervertebral fusion without the need for bone grafting, thereby enhancing cervical vertebra stability. This biomimetic porous Ti6Al4V Cage offers cost‐effectiveness, presenting significant potential for clinical applications in spinal surgery.
    Type of Medium: Online Resource
    ISSN: 2192-2640 , 2192-2659
    Language: English
    Publisher: Wiley
    Publication Date: 2024
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  • 8
    In: Human Brain Mapping, Wiley, Vol. 39, No. 11 ( 2018-11), p. 4452-4461
    Abstract: In the elderly, brain structural deficits and gait disturbances due to cerebral small vessel disease (CSVD) have been well demonstrated. The relationships among CSVD, brain atrophy, and motor impairment, however, are far from conclusive. Particularly, the effect of CSVD on subcortical nuclear atrophy, motor performance of upper extremities, and associating patterns between brain atrophy and motor impairment remains largely unknown. To address these gaps, this study recruited 770 community‐dwelling subjects (35–82 years of age), including both CSVD and non‐CSVD individuals. For each subject, four motor tests involving upper and lower extremities were completed. High‐resolution structural MRI was applied to extract gray matter (GM) volume, white matter volume, cortical thickness, surface area, and subcortical nuclear (caudate, putamen, pallidum, and thalamus) volumes. The results showed worse motor performance of lower extremities but relatively preserved performance of upper extremities in the CSVD group. Intriguingly, there was a significant association between the worse performance of upper extremities and atrophy of whole‐brain GM and pallidum in the CSVD group but not in the non‐CSVD group. In addition, mediation analysis confirmed a functional CSVD‐to‐“brain atrophy”‐to‐“motor impairment” pathway, that is, a mediating role of thalamic atrophy in the CSVD effect on walking speed in the elderly, indicating that CSVD impairs walking performance through damaging the integrity of the thalamus in aging populations. These findings provide important insight into the functional consequences of CSVD and highlight the importance of evaluating upper extremities functions and exploring their brain mechanisms in CSVD populations during aging.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
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    detail.hit.zdb_id: 1492703-2
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  • 9
    Online Resource
    Online Resource
    American Chemical Society (ACS) ; 2022
    In:  Industrial & Engineering Chemistry Research Vol. 61, No. 37 ( 2022-09-21), p. 13795-13804
    In: Industrial & Engineering Chemistry Research, American Chemical Society (ACS), Vol. 61, No. 37 ( 2022-09-21), p. 13795-13804
    Type of Medium: Online Resource
    ISSN: 0888-5885 , 1520-5045
    Language: English
    Publisher: American Chemical Society (ACS)
    Publication Date: 2022
    detail.hit.zdb_id: 1484436-9
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  • 10
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 52, No. D1 ( 2024-01-05), p. D18-D32
    Abstract: The National Genomics Data Center (NGDC), which is a part of the China National Center for Bioinformation (CNCB), provides a family of database resources to support the global academic and industrial communities. With the rapid accumulation of multi-omics data at an unprecedented pace, CNCB-NGDC continuously expands and updates core database resources through big data archiving, integrative analysis and value-added curation. Importantly, NGDC collaborates closely with major international databases and initiatives to ensure seamless data exchange and interoperability. Over the past year, significant efforts have been dedicated to integrating diverse omics data, synthesizing expanding knowledge, developing new resources, and upgrading major existing resources. Particularly, several database resources are newly developed for the biodiversity of protists (P10K), bacteria (NTM-DB, MPA) as well as plant (PPGR, SoyOmics, PlantPan) and disease/trait association (CROST, HervD Atlas, HALL, MACdb, BioKA, BioKA, RePoS, PGG.SV, NAFLDkb). All the resources and services are publicly accessible at https://ngdc.cncb.ac.cn.
    Type of Medium: Online Resource
    ISSN: 0305-1048 , 1362-4962
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2024
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    detail.hit.zdb_id: 1472175-2
    SSG: 12
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