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  • 1
    In: Rheumatology, Oxford University Press (OUP), Vol. 61, No. 5 ( 2022-05-05), p. 1849-1856
    Abstract: RA damages the joints and increases the risks of total knee replacement (TKR) and total hip replacement (THR). However, the benefits of biologics in preventing TKR or THR remain unclear. Methods This retrospective nationwide study used the 2000–2013 claims-based National Health Insurance dataset. Biologics are reimbursed for refractory cases. The risks of TKR and THR in the biologic cohort were compared with those of an age- and sex-matched csDMARD cohort. A multivariate Cox regression model was used to investigate the benefits of bDMARDs for TKR and THR. Results TKR was performed in 5979 biologic cases and 11 958 matched controls, of which 249 (4.16%) and 871 (7.28%) cases received TKR, respectively. THR was performed in 6245 biologic cases and 12 490 matched controls, of which 159 (2.55%) and 516 (4.13%) cases had THR, respectively. The biologic cohort had significantly lower incidence rates of TKR (11.73 vs 16.33/1000 person-years, P  & lt; 0.001) and THR (7.09 vs 9.16/1000 person-years, P  & lt; 0.001). After adjustment for confounding factors, the regular bDMARD subgroup (average dose & gt;0.95 defined daily dose/day) had significantly lower risks of TKR (aHR: 0.55, 95% CI: 0.38, 0.81) and THR (aHR: 0.63, 95% CI: 0.40, 0.98). Those without MTX use, with steroid use, with biologic switch, and overlapping antiphospholipid syndrome had significantly higher risks of TKR and THR. Conclusions Compared with the csDMARD cohort, the risks of TKR and THR in the bDMARD cohort were the same as those in the low-to-moderate dose subgroups and significantly lower in those with regular bDMARD use.
    Type of Medium: Online Resource
    ISSN: 1462-0324 , 1462-0332
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 1474143-X
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  • 2
    In: Clinical Chemistry, Oxford University Press (OUP), Vol. 52, No. 11 ( 2006-11-01), p. 1997-2004
    Abstract: Background: Broad-range PCR provides valuable information for detecting bacterial infections. This study assesses the combined use of broad-range real-time PCR and high-resolution melting analysis for rapid detection and identification of clinically important bacteria. Methods: We subjected 46 bacterial culture colonies representing 25 clinically important bacterial species to LightCycler real-time PCR amplification of the 16S rRNA gene in the presence of LCGreen I fluorescent dye. We performed high-resolution melting analysis of the PCR products with the HR-1 instrument and used melting profiles as molecular fingerprints for bacterial species identification. We validated this method via assessment of 54 consecutive bacteria culture colonies obtained from a clinical microbiology laboratory. Results: The 16S rRNA gene of all 25 bacterial species was amplifiable by this method, with PCR product lengths of 216 or 217 bp. Of the 25 bacterial species, we identified 11 via a 1-step post-PCR high-resolution melting analysis. The remaining bacterial species were identified via the high-resolution melting plots obtained by heteroduplex formation between the PCR products of the tested and reference bacterial species or by a 2nd real-time PCR targeting a different region of the 16S rRNA gene. A high-resolution melting database and a working protocol were established for identifying these 25 bacterial species. In the validation assay, a 94% accuracy rate was achieved when the bacterial species were in the high-resolution melting database. Conclusions: This assay requires no multiplexing or hybridization probes and provides a new approach for bacterial species identification in a molecular diagnostic laboratory.
    Type of Medium: Online Resource
    ISSN: 0009-9147 , 1530-8561
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2006
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  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2010
    In:  Nucleic Acids Research Vol. 38, No. suppl_2 ( 2010-7-1), p. W385-W391
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 38, No. suppl_2 ( 2010-7-1), p. W385-W391
    Type of Medium: Online Resource
    ISSN: 1362-4962 , 0305-1048
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2010
    detail.hit.zdb_id: 1472175-2
    SSG: 12
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  • 4
    In: Rheumatology, Oxford University Press (OUP), Vol. 58, No. 1 ( 2019-01-01), p. 135-143
    Type of Medium: Online Resource
    ISSN: 1462-0324 , 1462-0332
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 1474143-X
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  • 5
    In: Rheumatology, Oxford University Press (OUP), Vol. 54, No. 10 ( 2015-10), p. 1913-1922
    Type of Medium: Online Resource
    ISSN: 1462-0324 , 1462-0332
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2015
    detail.hit.zdb_id: 1474143-X
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  • 6
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2023
    In:  Journal of the American Medical Informatics Association Vol. 30, No. 3 ( 2023-02-16), p. 570-587
    In: Journal of the American Medical Informatics Association, Oxford University Press (OUP), Vol. 30, No. 3 ( 2023-02-16), p. 570-587
    Abstract: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain using artificial intelligence (AI) approaches may improve patient outcomes and healthcare resource utilization. A comprehensive synthesis of the current use and outcomes of AI-based interventions focused on pain assessment and management will guide the development of future research. Objectives This review aims to investigate the state of the research on AI-based interventions designed to improve pain assessment and management for adult patients. We also ascertain the actual outcomes of Al-based interventions for adult patients. Methods The electronic databases searched include Web of Science, CINAHL, PsycINFO, Cochrane CENTRAL, Scopus, IEEE Xplore, and ACM Digital Library. The search initially identified 6946 studies. After screening, 30 studies met the inclusion criteria. The Critical Appraisals Skills Programme was used to assess study quality. Results This review provides evidence that machine learning, data mining, and natural language processing were used to improve efficient pain recognition and pain assessment, analyze self-reported pain data, predict pain, and help clinicians and patients to manage chronic pain more effectively. Conclusions Findings from this review suggest that using AI-based interventions has a positive effect on pain recognition, pain prediction, and pain self-management; however, most reports are only pilot studies. More pilot studies with physiological pain measures are required before these approaches are ready for large clinical trial.
    Type of Medium: Online Resource
    ISSN: 1067-5027 , 1527-974X
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2018371-9
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  • 7
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  Innovation in Aging Vol. 5, No. Supplement_1 ( 2021-12-17), p. 633-634
    In: Innovation in Aging, Oxford University Press (OUP), Vol. 5, No. Supplement_1 ( 2021-12-17), p. 633-634
    Abstract: Approximate 50 million U.S. adults experience chronic pain. It is a widely held view that pain has been linked to sleep disturbance, mental problems, and reduced quality of life. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain can improve outcomes of patients and healthcare use. A comprehensive synthesis of the current use of AI-based interventions in pain management and pain assessment and their outcomes will guide the development of future clinical trials. This review aims to investigate the state of the science of AI-based interventions designed to improve pain management and pain assessment for adult patients. The electronic databases Web of Science, CINAHL, PsycINFO, Cochrane CENTRAL, Scopus, IEEE Xplore, and ACM Digital Library were searched. The search identified 2131 studies, and 18 studies met the inclusion criteria. The Critical Appraisals Skills Programme was used to assess the quality. This review provides evidence that machine learning, deep learning, data mining, and natural language processing were used to improve efficient pain recognition and pain assessment (44%), analyze self-reporting pain data (6%), predict pain (6%), and help physicians and patients to more effectively manage with chronic pain (44%). Findings from this review suggest that using AI-based interventions to improve pain recognition, pain prediction, and pain self-management is effective; however, most studies are pilot study which raises concerns about the generalizability of findings. Future research should focus on examining AI-based approaches on a larger cohort and over a longer period of time.
    Type of Medium: Online Resource
    ISSN: 2399-5300
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2905697-4
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  • 8
    In: Alcohol and Alcoholism, Oxford University Press (OUP), Vol. 52, No. 6 ( 2017-11-01), p. 638-646
    Abstract: Excessive consumption of alcoholic beverages is associated with cardiac remodeling and cardiomyopathy. We examined the possible association of alcohol use, common Asian genetic variants in genes involved in alcohol metabolism, and cardiac structures/functions alterations. Methods A prospective, community-dwelling survey among individuals with available complete echocardiography examined the associations of alcohol use, cardiac structure/functions, and three common alcohol metabolizing genetic variants, including aldehyde dehydrogenase 2 (ALDH2), alcohol dehydrogenase 1B (ADH1B) and cytochrome P450 (CYP) isoform 2E1 (CYP2E1). Results Among 1577 participants (mean age: 53 ± 9, 59.7% female), we observed that in subjects with more frequent weekly ethanol intake showed greater left ventricle (LV) mass, more impaired diastolic functions, and reduced global longitudinal strain (GLS), systolic (SRs) and early diastolic strain rates (SRe) (P 〈 0.05). After propensity matching for clinical confounders (n = 330:30 for frequent users and non-users), frequent alcohol use and subjects carrying ALDH2 (A/G or A/A), ADH1B (A/A) or CYP2E1(T/C or T/T) polymorphisms were all associated with worse GLSRs and GLSRe, with combined alcohol use and any given genetic variant aggravated these associations (all P 〈 0.05). Finally, we observed Gene–Gene synergistic effects on LV functional decline in frequent alcohol users by using linear mixed effect model (all interaction P 〈 0.05). Conclusions Among East Asians, even moderate alcohol consumption can confer subclinical adverse effects on cardiac systolic functions, which was most pronounced in subjects carrying common variants in alcohol metabolizing genes. These findings challenge the notion of beneficial influences of less heavy ethanol consumption on the heart, especially among East Asians. Short summary This study evaluated the association of level of alcohol consumption and genetic variants in genes involved in alcohol metabolism with changes in cardiac function in East Asians. Even moderate alcohol use conferred subclinical adverse effects on cardiac systolic functions, which were most pronounced in subjects carrying common alcohol metabolizing genes.
    Type of Medium: Online Resource
    ISSN: 0735-0414 , 1464-3502
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2017
    detail.hit.zdb_id: 1483492-3
    SSG: 15,3
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  • 9
    In: Journal of Antimicrobial Chemotherapy, Oxford University Press (OUP), Vol. 75, No. 10 ( 2020-10-01), p. 2986-2993
    Abstract: Real-world experience regarding the effectiveness of co-formulated elvitegravir, cobicistat, emtricitabine and tenofovir alafenamide (EVG/C/FTC/TAF) as a switch regimen is sparse among people living with HIV (PLWH) harbouring the M184V/I mutation with or without thymidine analogue-associated mutations (TAMs). Methods In this retrospective multicentre study, PLWH who were switched to EVG/C/FTC/TAF after having achieved viral suppression (plasma HIV RNA & lt;200 copies/mL) for 6 months or longer were included. Patients with archived M184V/I mutation (case patients) were matched to controls without M184V/I mutation at a 1:4 ratio. Patients with a history of virological failure or resistance to elvitegravir were excluded. The primary endpoint was virological non-success (plasma HIV RNA ≥50 copies/mL) at Week 48 of switch using a modified FDA snapshot analysis. Results Overall, 100 case patients with the M184V/I mutation were identified, including 6 (6.0%) with K65R and 13 (13.0%) with at least one TAM, and were matched to 400 controls in terms of gender, age (mean = 40.3 versus 39.7 years) and cumulative exposure duration to tenofovir disoproxil fumarate (median = 146 versus 143 weeks). At Week 48, the rate of virological non-success for the case patients and controls was 5.0% (5/100) and 3.3% (13/400), respectively (difference = 1.7%; 95% CI = −2.9%–6.3%), while the rate of virological success was 88.0% and 89.5% for the case patients and controls, respectively. The presence of the K65R mutation or TAMs was not associated with virological non-response. Conclusions Among virally suppressed PLWH, EVG/C/FTC/TAF is effective in maintaining viral suppression at Week 48 despite archived M184V/I mutation with or without TAMs.
    Type of Medium: Online Resource
    ISSN: 0305-7453 , 1460-2091
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 1467478-6
    SSG: 15,3
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  • 10
    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
    detail.hit.zdb_id: 2006309-X
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