| 1. |
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- 2019
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Tidskriftsartikel (refereegranskat)
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| 2. |
- Ademuyiwa, Adesoji O., et al.
(författare)
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Determinants of morbidity and mortality following emergency abdominal surgery in children in low-income and middle-income countries
- 2016
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Ingår i: BMJ Global Health. - : BMJ Publishing Group Ltd. - 2059-7908. ; 1:4
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Tidskriftsartikel (refereegranskat)abstract
- Background: Child health is a key priority on the global health agenda, yet the provision of essential and emergency surgery in children is patchy in resource-poor regions. This study was aimed to determine the mortality risk for emergency abdominal paediatric surgery in low-income countries globally.Methods: Multicentre, international, prospective, cohort study. Self-selected surgical units performing emergency abdominal surgery submitted prespecified data for consecutive children aged <16 years during a 2-week period between July and December 2014. The United Nation's Human Development Index (HDI) was used to stratify countries. The main outcome measure was 30-day postoperative mortality, analysed by multilevel logistic regression.Results: This study included 1409 patients from 253 centres in 43 countries; 282 children were under 2 years of age. Among them, 265 (18.8%) were from low-HDI, 450 (31.9%) from middle-HDI and 694 (49.3%) from high-HDI countries. The most common operations performed were appendectomy, small bowel resection, pyloromyotomy and correction of intussusception. After adjustment for patient and hospital risk factors, child mortality at 30 days was significantly higher in low-HDI (adjusted OR 7.14 (95% CI 2.52 to 20.23), p<0.001) and middle-HDI (4.42 (1.44 to 13.56), p=0.009) countries compared with high-HDI countries, translating to 40 excess deaths per 1000 procedures performed.Conclusions: Adjusted mortality in children following emergency abdominal surgery may be as high as 7 times greater in low-HDI and middle-HDI countries compared with high-HDI countries. Effective provision of emergency essential surgery should be a key priority for global child health agendas.
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| 3. |
- Menkveld, Albert J., et al.
(författare)
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Nonstandard Errors
- 2024
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Ingår i: JOURNAL OF FINANCE. - : Wiley-Blackwell. - 0022-1082 .- 1540-6261. ; 79:3, s. 2339-2390
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Tidskriftsartikel (refereegranskat)abstract
- In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty-nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
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| 4. |
- Bauer, Ann Z., et al.
(författare)
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Paracetamol use during pregnancy - a call for precautionary action
- 2021
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Ingår i: Nature Reviews Endocrinology. - : Springer Nature. - 1759-5029 .- 1759-5037. ; 17, s. 757-766
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Tidskriftsartikel (refereegranskat)abstract
- Paracetamol (N-acetyl-p-aminophenol (APAP), otherwise known as acetaminophen) is the active ingredient in more than 600 medications used to relieve mild to moderate pain and reduce fever. APAP is widely used by pregnant women as governmental agencies, including the FDA and EMA, have long considered APAP appropriate for use during pregnancy when used as directed. However, increasing experimental and epidemiological research suggests that prenatal exposure to APAP might alter fetal development, which could increase the risks of some neurodevelopmental, reproductive and urogenital disorders. Here we summarize this evidence and call for precautionary action through a focused research effort and by increasing awareness among health professionals and pregnant women. APAP is an important medication and alternatives for treatment of high fever and severe pain are limited. We recommend that pregnant women should be cautioned at the beginning of pregnancy to: forego APAP unless its use is medically indicated; consult with a physician or pharmacist if they are uncertain whether use is indicated and before using on a long-term basis; and minimize exposure by using the lowest effective dose for the shortest possible time. We suggest specific actions to implement these recommendations. This Consensus Statement reflects our concerns and is currently supported by 91 scientists, clinicians and public health professionals from across the globe. A growing body of research suggests that prenatal exposure to paracetamol (APAP) might alter development and increase the risk of some reproductive, urogenital and neurodevelopmental disorders. This Consensus Statement calls for precautionary action, including a focused research effort, increasing awareness among health professionals and pregnant women and, whenever possible, minimizing use.
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| 5. |
- Bauer, Ann Z., et al.
(författare)
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Paracetamol Use During Pregnancy-A Call for Precautionary Action
- 2022
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Ingår i: Obstetrical and Gynecological Survey. - : Lippincott Williams & Wilkins. - 0029-7828 .- 1533-9866. ; 77:3, s. 133-134
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Tidskriftsartikel (refereegranskat)abstract
- Paracetamol, otherwise known as acetaminophen, is the active ingredient in over 600 prescription and nonprescription analgesic and antipyretic medications. Worldwide and in the United States, more than 50% and 65% of pregnant women use acetaminophen, respectively. Currently, acetaminophen is considered to be of minimal risk and appropriate for use during pregnancy by the US Food and Drug Administration and European Medicines Agency. Despite this, there exists concern that environmental exposure to pharmaceuticals including acetaminophen during fetal life may contribute to the increased rates of neurological, urogenital, and reproductive disorders.This consensus statement aimed to provide an evidence-based summary of the literature relating to neurological, urogenital, and reproductive outcomes that have been associated with maternal and perinatal use of acetaminophen. This consensus statement was created by an international multidisciplinary group consisting of experts in neurology, obstetrics/gynecologists, pediatrics, epidemiology, toxicology, endocrinology, reproductive medicine, and neurodevelopment. A literature review was conducted for studies published between 1995 and 2020, including only those with acetaminophen as an independent exposure. There is a limitation in the existing epidemiological literature addressing these questions, and future efforts are required.This consensus statement and systematic review finds evidence of significant neurodevelopmental and reproductive adverse effects of acetaminophen prenatal exposure, particularly with long-term use. It is recommended by this document that acetaminophen be used by pregnant women cautiously at the lowest effective dose for the shortest possible time and longer or higher-dose use be discussed with a health professional. It is also advised that packaging display warning labels related to the evidence discussed here.
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| 6. |
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| 7. |
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| 8. |
- Porsbjerg, Celeste M., et al.
(författare)
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Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma
- 2024
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Ingår i: Frontiers in Immunology. - : Frontiers Media S.A.. - 1664-3224. ; 15
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Tidskriftsartikel (refereegranskat)abstract
- Background: To date, studies investigating the association between pre-biologic biomarker levels and post-biologic outcomes have been limited to single biomarkers and assessment of biologic efficacy from structured clinical trials.Aim: To elucidate the associations of pre-biologic individual biomarker levels or their combinations with pre-to-post biologic changes in asthma outcomes in real-life.Methods: This was a registry-based, cohort study using data from 23 countries, which shared data with the International Severe Asthma Registry (May 2017-February 2023). The investigated biomarkers (highest pre-biologic levels) were immunoglobulin E (IgE), blood eosinophil count (BEC) and fractional exhaled nitric oxide (FeNO). Pre- to approximately 12-month post-biologic change for each of three asthma outcome domains (i.e. exacerbation rate, symptom control and lung function), and the association of this change with pre-biologic biomarkers was investigated for individual and combined biomarkers.Results: Overall, 3751 patients initiated biologics and were included in the analysis. No association was found between pre-biologic BEC and pre-to-post biologic change in exacerbation rate for any biologic class. However, higher pre-biologic BEC and FeNO were both associated with greater post-biologic improvement in FEV1 for both anti-IgE and anti-IL5/5R, with a trend for antiI-IL4R alpha. Mean FEV1 improved by 27-178 mL post-anti-IgE as pre-biologic BEC increased (250 to 1000 cells/mu L), and by 43-216 mL and 129-250 mL post-anti-IL5/5R and - anti- IL4R alpha, respectively along the same BEC gradient. Corresponding improvements along a FeNO gradient (25-100 ppb) were 41-274 mL, 69-207 mL and 148-224 mL for anti-IgE, anti-IL5/5R, and anti-IL4R alpha, respectively. Higher baseline BEC was also associated with lower probability of uncontrolled asthma (OR 0.392; p=0.001) post-biologic for anti-IL5/5R. Pre-biologic IgE was a poor predictor of subsequent pre-to-post-biologic change for all outcomes assessed for all biologics. The combination of BEC + FeNO marginally improved the prediction of post-biologic FEV1 increase (adjusted R-2: 0.751), compared to BEC (adjusted R-2: 0.747) or FeNO alone (adjusted R-2: 0.743) (p=0.005 and <0.001, respectively); however, this prediction was not improved by the addition of IgE.Conclusions: The ability of higher baseline BEC, FeNO and their combination to predict biologic-associated lung function improvement may encourage earlier intervention in patients with impaired lung function or at risk of accelerated lung function decline.
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| 9. |
- Sattui, Sebastian E., et al.
(författare)
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Outcomes of COVID-19 in patients with primary systemic vasculitis or polymyalgia rheumatica from the COVID-19 Global Rheumatology Alliance physician registry : a retrospective cohort study
- 2021
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Ingår i: The Lancet Rheumatology. - : Elsevier. - 2665-9913. ; 3:12, s. E855-E864
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Tidskriftsartikel (refereegranskat)abstract
- Background Patients with primary systemic vasculitis or polymyalgia rheumatica might be at a high risk for poor COVID-19 outcomes due to the treatments used, the potential organ damage cause by primary systemic vasculitis, and the demographic factors associated with these conditions. We therefore aimed to investigate factors associated with COVID-19 outcomes in patients with primary systemic vasculitis or polymyalgia rheumatica. Methods In this retrospective cohort study, adult patients (aged >= 18 years) diagnosed with COVID-19 between March 12, 2020, and April 12, 2021, who had a history of primary systemic vasculitis (antineutrophil cytoplasmic antibody [ANCA]-associated vasculitis, giant cell arteritis, Behcet's syndrome, or other vasculitis) or polymyalgia rheumatica, and were reported to the COVID-19 Global Rheumatology Alliance registry were included. To assess COVID-19 outcomes in patients, we used an ordinal COVID-19 severity scale, defined as: (1) no hospitalisation; (2) hospitalisation without supplemental oxygen; (3) hospitalisation with any supplemental oxygen or ventilation; or (4) death. Multivariable ordinal logistic regression analyses were used to estimate odds ratios (ORs), adjusting for age, sex, time period, number of comorbidities, smoking status, obesity, glucocorticoid use, disease activity, region, and medication category. Analyses were also stratified by type of rheumatic disease. Findings Of 1202 eligible patients identified in the registry, 733 (61.0%) were women arid 469 (39.0%) were men, and their mean age was 63.8 years (SD 17.1). A total of 374 (31.1%) patients had polymyalgia rheumatica, 353 (29.4%) had ANCA-associated vasculitis, 183 (15.2%) had giant cell arteritis, 112 (9.3%) had Behcet's syndrome, and 180 (15.0%) had other vasculitis. Of 1020 (84. 9%) patients with outcome data, 512 (S0.2%) were not hospitalised, 114 (11.2%) were hospitalised and did not receive supplemental oxygen, 239 (23 - 4%) were hospitalised and received ventilation or supplemental oxygen, and 155 (15.2%) died. A higher odds of poor COVID-19 outcomes were observed in patients who were older (per each additional decade of life OR 1.44 [95% CI 1. 31-1- 571), were male compared with female (1.38 [1.05-1.801), had more comorbidities (per each additional comorbidity 1.39 [1- 23-1- 581), were taking 10 mg/day or more of prednisolone compared with none (2.14 [1.50-3.04J), or had moderate, or high or severe disease activity compared with those who had disease remission or low disease activity (2.12 [1.49-3.021). Risk factors varied among different disease subtypes. Interpretation Among patients with primary systemic vasculitis and polymyalgia rheumatica, severe COVID-19 outcomes were associated with variable and largely unmodifiable risk factors, such as age, sex, and number of comorbidities, as well as treatments, including high-dose glucocorticoids. Our results could be used to info rm mitigation strategies for patients with these diseases.
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| 10. |
- Niemi, MEK, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 11. |
- Abercrombie, Daniel, et al.
(författare)
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Dark Matter benchmark models for early LHC Run-2 Searches : Report of the ATLAS/CMS Dark Matter Forum
- 2020
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Ingår i: Physics of the Dark Universe. - : Elsevier BV. - 2212-6864. ; 27
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Tidskriftsartikel (refereegranskat)abstract
- This document is the final report of the ATLAS-CMS Dark Matter Forum, a forum organized by the ATLAS and CMS collaborations with the participation of experts on theories of Dark Matter, to select a minimal basis set of dark matter simplified models that should support the design of the early LHC Run-2 searches. A prioritized, compact set of benchmark models is proposed, accompanied by studies of the parameter space of these models and a repository of generator implementations. This report also addresses how to apply the Effective Field Theory formalism for collider searches and present the results of such interpretations.
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| 12. |
- Alalawi, Ahmed, et al.
(författare)
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Does Pain Extent Predict Ongoing Pain and Disability in Patients with Chronic Whiplash-Associated Disorders?
- 2022
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Ingår i: Journal of Clinical Medicine. - : MDPI AG. - 2077-0383. ; 11:3
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Tidskriftsartikel (refereegranskat)abstract
- This study investigates whether baseline pain extent, extracted from an electronic pain drawing, is an independent predictive factor of pain and disability measured 1 year and 2 years later in people with chronic WAD. Participants completed questionnaires assessing neck pain intensity, disability via the Neck Disability Index (NDI), psychological features, and work ability. Participants also completed electronic pain drawings from which their pain extent was extracted. A two-step modelling approach was undertaken to identify the crude and adjusted association between pain extent and NDI measured at 1-year and 2-year follow-ups. A total of 205 participants were included in the analysis. The univariate analysis showed that pain extent was significantly associated with the NDI score at the 1-year (p = 0.006, 95% CI: 0.159-0.909) and 2-year (p = 0.029, 0.057-0.914) follow-ups. These associations were not maintained when we introduced perceived disability, psychological health, and work ability into the model after 1 year (p = 0.56, 95%CI: -0.28-0.499) and 2 years (p = 0.401, -0.226-0.544). Pain extent, as an independent factor, was significantly associated with perceived pain and disability in patients with chronic WAD for up to 2 years. This association was masked by neck disability, psychological health, and work ability.
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| 13. |
- Daley, Jason R., et al.
(författare)
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Development of a deep learning algorithm for provision of a South Western Sydney diabetes retinal screening service
- 2022
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Ingår i: Clinical and Experimental Ophthalmology. - : Blackwell Publishing. - 1442-6404 .- 1442-9071. ; 49:8, s. 805-805
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Purpose: Diabetic retinopathy (DR) is highly prevalent in the multi-ethnic and low socioeconomic population of South Western Sydney. This is a significant public health burden, demanding efficient and cost-effective diabetes retinal screening. The multi-centre South Western Eye and Diabetes Deep Learning Algorithm study, supported by an Ophthalmic Research Institute of Australia grant, aims to develop and validate a novel deep learning algorithm, capable of grading DR, for a new diabetes retinal screening service. This abstract evaluates the performance of the Diabetic retinopathy OCT Open souRce Artificial Intelligence (Doctor AI©SK) program.Methods: Doctor AI analyses fundus photographs and optical coherence tomography (OCT) images simultaneously to grade diabetic retinopathy. It was trained with over 50,000 fundus photographs and 8000 OCT scans, using a combination of Australasian and publicly available datasets. As a screening tool, the algorithm's operating point was optimised for sensitivity and negative predictive value, and its performance reevaluated. Clinical validation is being undertaken in the recruited population at each study site.Results: For the detection of diabetic macula oedema from OCT images, Doctor AI achieved a 96.8% sensitivity, 98.1% specificity and 97.5% accuracy. Area under the receiver operating characteristic curve was 0.996. For the diagnosis of DR from fundus photographs, Doctor AI achieved a 90.4% sensitivity, 96.8% specificity and 88.9% accuracy. Preliminary clinical validation revealed an accuracy of 89% and 85% for the OCT and fundus photograph modules of the algorithm, respectively.Conclusion: Doctor AI is a unique deep learning algorithm capable of diagnosing DR and diabetic macula oedema with high sensitivity and accuracy.
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| 14. |
- Dowsey, Michelle M., et al.
(författare)
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The association between radiographic severity and pre-operative function in patients undergoing primary knee replacement for osteoarthritis
- 2012
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Ingår i: Knee. - : Elsevier BV. - 1873-5800. ; 19:6, s. 860-865
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To determine the association between radiographic osteoarthritis (OA) and pre-operative function in patients undergoing primary knee replacement. Methods: Single centre study examining pre-operative outcomes in a consecutive series of 525 patients who underwent primary knee replacement for OA between January 2006 and December 2007. Pre-operative data included: demographics, American Society of Anaesthesiologists (ASA) status and OA in the contralateral knee. The International Knee Society (IKS) rating and Short Form-12 (SF-12) were recorded for each patient. Pre-operative radiographs were read by a single observer for Kellgren and Lawrence (K&L) grading and Osteoarthritis Research Society International (OARSI) atlas features. Multiple linear regression was used to assess the strength of associations between radiographic OA severity and function, adjusting for clinically relevant variables. Results: Lateral tibiofemoral osteophyte grade was an independent predictor of pre-operative function as determined by the functional sub-scale of the IKS in patients undergoing primary knee replacement (coefficient = 2.58, p = 0.033). No associations were evident between pre-operative function and modified K&L, joint space narrowing, Ahlback attrition and coronal plane deformity. Other statistically significant predictors of poorer pre-operative function included: advancing age, female gender, knee pain and poorer SF-12 mental component summary scores which including osteophyte grade accounted for 24.6% of the variation in functional scores, (r = 0.496). Conclusion: Osteophytes in the lateral compartment of the knee were associated with pre-operative function in patients with advanced knee OA. Further studies are required which examine individual radiographic features specifically in patients with advanced knee OA to determine their relationship to pre-operative pain and function. (C) 2012 Elsevier B.V. All rights reserved.
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| 15. |
- Haugg, Amelie, et al.
(författare)
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Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.
- 2021
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Ingår i: NeuroImage. - : Elsevier. - 1053-8119 .- 1095-9572. ; 237
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Tidskriftsartikel (refereegranskat)abstract
- Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows an individual to gain control over his/her own brain signals, which can lead to improvements in behavior in healthy participants as well as to improvements of clinical symptoms in patient populations. However, a considerably large ratio of participants undergoing neurofeedback training do not learn to control their own brain signals and, consequently, do not benefit from neurofeedback interventions, which limits clinical efficacy of neurofeedback interventions. As neurofeedback success varies between studies and participants, it is important to identify factors that might influence neurofeedback success. Here, for the first time, we employed a big data machine learning approach to investigate the influence of 20 different design-specific (e.g. activity vs. connectivity feedback), region of interest-specific (e.g. cortical vs. subcortical) and subject-specific factors (e.g. age) on neurofeedback performance and improvement in 608 participants from 28 independent experiments. With a classification accuracy of 60% (considerably different from chance level), we identified two factors that significantly influenced neurofeedback performance: Both the inclusion of a pre-training no-feedback run before neurofeedback training and neurofeedback training of patients as compared to healthy participants were associated with better neurofeedback performance. The positive effect of pre-training no-feedback runs on neurofeedback performance might be due to the familiarization of participants with the neurofeedback setup and the mental imagery task before neurofeedback training runs. Better performance of patients as compared to healthy participants might be driven by higher motivation of patients, higher ranges for the regulation of dysfunctional brain signals, or a more extensive piloting of clinical experimental paradigms. Due to the large heterogeneity of our dataset, these findings likely generalize across neurofeedback studies, thus providing guidance for designing more efficient neurofeedback studies specifically for improving clinical neurofeedback-based interventions. To facilitate the development of data-driven recommendations for specific design details and subpopulations the field would benefit from stronger engagement in open science research practices and data sharing.
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| 16. |
- Liew, Bernard X. W., et al.
(författare)
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Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy : a machine learning approach
- 2020
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Ingår i: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- Prognostic models play an important role in the clinical management of cervical radiculopathy (CR). No study has compared the performance of modern machine learning techniques, against more traditional stepwise regression techniques, when developing prognostic models in individuals with CR. We analysed a prospective cohort dataset of 201 individuals with CR. Four modelling techniques (stepwise regression, least absolute shrinkage and selection operator [LASSO], boosting, and multivariate adaptive regression splines [MuARS]) were each used to form a prognostic model for each of four outcomes obtained at a 12 month follow-up (disability-neck disability index [NDI]), quality of life (EQ5D), present neck pain intensity, and present arm pain intensity). For all four outcomes, the differences in mean performance between all four models were small (difference of NDI<1 point; EQ5D<0.1 point; neck and arm pain<2 points). Given that the predictive accuracy of all four modelling methods were clinically similar, the optimal modelling method may be selected based on the parsimony of predictors. Some of the most parsimonious models were achieved using MuARS, a non-linear technique. Modern machine learning methods may be used to probe relationships along different regions of the predictor space.
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| 17. |
- Liew, Jean W, et al.
(författare)
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A scoping review of how early-stage knee osteoarthritis has been defined
- 2023
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Ingår i: Osteoarthritis and Cartilage. - 1063-4584. ; 31:9, s. 1234-1241
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Forskningsöversikt (refereegranskat)abstract
- BACKGROUND: Early-stage knee osteoarthritis (KOA) classification criteria will enable consistent identification and trial recruitment of individuals with knee osteoarthritis (OA) at an earlier stage of the disease when interventions may be more effective. Toward this goal, we identified how early-stage KOA has been defined in the literature.METHODS: We performed a scoping literature review in PubMed, EMBASE, Cochrane, and Web of Science, including human studies where early-stage KOA was included as a study population or outcome. Extracted data included demographics, symptoms/history, examination, laboratory, imaging, performance-based measures, gross inspection/histopathologic domains, and the components of composite early-stage KOA definitions.RESULTS: Of 6142 articles identified, 211 were included in data synthesis. An early-stage KOA definition was used for study inclusion in 194 studies, to define study outcomes in 11 studies, and in the context of new criteria development or validation in six studies. The element most often used to define early-stage KOA was Kellgren-Lawrence (KL) grade (151 studies, 72%), followed by symptoms (118 studies, 56%), and demographic characteristics (73 studies, 35%); 14 studies (6%) used previously developed early-stage KOA composite criteria. Among studies defining early-stage KOA radiographically, 52 studies defined early-stage KOA by KL grade alone; of these 52, 44 (85%) studies included individuals with KL grade 2 or higher in their definitions.CONCLUSION: Early-stage KOA is variably defined in the published literature. Most studies included KL grades of 2 or higher within their definitions, which reflects established or later-stage OA. These findings underscore the need to develop and validate classification criteria for early-stage KOA.
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| 18. |
- Liew, Jean W., et al.
(författare)
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Diagnostic Accuracy of Candidate Magnetic Resonance Imaging Knee Osteoarthritis Definitions Versus Radiograph in an Acute Anterior Cruciate Ligament Injury Cohort
- 2024
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Ingår i: Arthritis Care and Research. - 2151-464X. ; 76:3, s. 409-414
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Tidskriftsartikel (refereegranskat)abstract
- Objective: We tested the diagnostic accuracy of previously proposed magnetic resonance imaging (MRI) osteoarthritis (OA) definitions in a cohort after acute anterior cruciate ligament (ACL) injury. Methods: We studied participants with posteroanterior and lateral knee radiographs and MRI 5 years after ACL injury, scored using the Anterior Cruciate Ligament Osteoarthritis Score. Radiographic OA (ROA) was defined using Osteoarthritis Research Society International scoring of osteophytes and joint space narrowing considering medial/lateral tibiofemoral and patellofemoral compartments. We tested three candidate MRI OA definitions that performed well in an older adult cohort. “Multicenter Osteoarthritis Study (MOST) simple” required cartilage score ≥2 (range 0–6) and osteophyte score ≥2 (0–7); “MOST optional” included cartilage score ≥2, osteophyte score ≥2, and either bone marrow lesions (BMLs) ≥1 (0–3) or synovitis ≥2 (0–3). The third, a Delphi panel definition, included nonzero scores for cartilage, osteophyte, BMLs, meniscus, and other structures. We calculated sensitivity and specificity with 95% confidence intervals (95% CIs) for each MRI definition versus ROA. Results: We included 113 participants (mean age 26 years, 26% female). At 5 years, 29 participants (26%) had ROA. “MOST simple” had a sensitivity of 52% (95% CI 33%–71%), and specificity of 76% (95% CI 66%–85%). Sensitivity and specificities for “MOST optional” were 28% (95% CI 29%–67%) and 83% (95% CI 74%–91%), respectively. The Delphi panel definition had a sensitivity of 48% (95% CI 29%–67%) and specificity of 77% (95% CI 67%–86%). Conclusion: Simple MRI-based OA definitions requiring at least cartilage damage and an osteophyte have low sensitivity and high specificity in young persons after knee injury.
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| 19. |
- Wang, Xingdi, et al.
(författare)
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Establishing a diabetes retinal screening service in South Western Sydney : Patient satisfaction with retinal imaging and the correlation between diabetic retinopathy and quality of life
- 2022
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Ingår i: Clinical and Experimental Ophthalmology. - : Blackwell Publishing. - 1442-6404 .- 1442-9071. ; 49:8, s. 899-900
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Purpose: The multicentre, prospective South Western Eye and Diabetes Deep Learning Algorithm study has developed a new diabetes retinal screening service, incorporating a novel deep learning algorithm, for a low socio-economic, multi-ethnic, outer-metropolitan Sydney region. This preliminary report examines patient satisfaction with retinal imaging and correlation between diabetic retinopathy (DR) and quality of life (QOL).Methods: Supported by an Ophthalmic Research Institute of Australia grant, South Western Eye and Diabetes Deep Learning Algorithm participants were recruited from diabetes outpatient clinics and underwent two-field, table-top fundus photography and ocular coherence tomography. Questionnaires regarding patient satisfaction with retinal imaging and self-perceived QOL (EQ5D) were completed. Proportion of participants with high satisfaction levels were reported and mean self-perceivedQ OL (EQ-VAS) scores for those with and without DR were compared.Results: The study is ongoing and preliminary data (n=54) is presented. DR was detected in 50.0% of recruited participants. All participants found it very convenient to undergo photography on the same day as their diabetes appointment and 83.3% would undergo retinal imaging for DR screening again. This was despite 50.0% of participants requiring pharmacological pupil dilation. Preliminary QOL data showed that although DR did not correlate with greater disability, pain or anxiety/depression, average self-perceived health was lower (mean EQ-VAS scores of 68.3% vs 76.3%) in participants with DR than those without DR.Conclusions: The correlation between DR and lower self-perceived QOL, occurring independently of both visual acuity and knowledge of DR diagnosis, supports the need for efficient screening and early treatment. Retinal imaging was well-tolerated with an overwhelming preference for same-day outpatient DR screening.
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| 20. |
- Kanai, M, et al.
(författare)
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- 2023
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swepub:Mat__t
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