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Sökning: WFRF:(Abbott T M C) > (2020-2024)

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1.
  • 2021
  • swepub:Mat__t
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2.
  • Tabiri, S, et al. (författare)
  • 2021
  • swepub:Mat__t
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  • Bravo, L, et al. (författare)
  • 2021
  • swepub:Mat__t
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  • Glasbey, JC, et al. (författare)
  • 2021
  • swepub:Mat__t
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  • 2021
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  • Khatri, C, et al. (författare)
  • Outcomes after perioperative SARS-CoV-2 infection in patients with proximal femoral fractures: an international cohort study
  • 2021
  • Ingår i: BMJ open. - : BMJ. - 2044-6055. ; 11:11, s. e050830-
  • Tidskriftsartikel (refereegranskat)abstract
    • Studies have demonstrated high rates of mortality in people with proximal femoral fracture and SARS-CoV-2, but there is limited published data on the factors that influence mortality for clinicians to make informed treatment decisions. This study aims to report the 30-day mortality associated with perioperative infection of patients undergoing surgery for proximal femoral fractures and to examine the factors that influence mortality in a multivariate analysis.SettingProspective, international, multicentre, observational cohort study.ParticipantsPatients undergoing any operation for a proximal femoral fracture from 1 February to 30 April 2020 and with perioperative SARS-CoV-2 infection (either 7 days prior or 30-day postoperative).Primary outcome30-day mortality. Multivariate modelling was performed to identify factors associated with 30-day mortality.ResultsThis study reports included 1063 patients from 174 hospitals in 19 countries. Overall 30-day mortality was 29.4% (313/1063). In an adjusted model, 30-day mortality was associated with male gender (OR 2.29, 95% CI 1.68 to 3.13, p<0.001), age >80 years (OR 1.60, 95% CI 1.1 to 2.31, p=0.013), preoperative diagnosis of dementia (OR 1.57, 95% CI 1.15 to 2.16, p=0.005), kidney disease (OR 1.73, 95% CI 1.18 to 2.55, p=0.005) and congestive heart failure (OR 1.62, 95% CI 1.06 to 2.48, p=0.025). Mortality at 30 days was lower in patients with a preoperative diagnosis of SARS-CoV-2 (OR 0.6, 95% CI 0.6 (0.42 to 0.85), p=0.004). There was no difference in mortality in patients with an increase to delay in surgery (p=0.220) or type of anaesthetic given (p=0.787).ConclusionsPatients undergoing surgery for a proximal femoral fracture with a perioperative infection of SARS-CoV-2 have a high rate of mortality. This study would support the need for providing these patients with individualised medical and anaesthetic care, including medical optimisation before theatre. Careful preoperative counselling is needed for those with a proximal femoral fracture and SARS-CoV-2, especially those in the highest risk groups.Trial registration numberNCT04323644
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  • Blokland, G. A. M., et al. (författare)
  • Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders
  • 2022
  • Ingår i: Biological Psychiatry. - : Elsevier BV. - 0006-3223 .- 1873-2402. ; 91:1, s. 102-117
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. Methods: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. Results: Across disorders, genome-wide significant single nucleotide polymorphism–by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10−8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10−6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10−7; rs73033497, p = 8.8 × 10−7; rs7914279, p = 6.4 × 10−7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10−7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10−7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10−7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). Conclusions: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels. © 2021 Society of Biological Psychiatry
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  • Blanken, M. A. J. T., et al. (författare)
  • Sex-specifics of ECT outcome
  • 2023
  • Ingår i: Journal of Affective Disorders. - : ELSEVIER. - 0165-0327 .- 1573-2517. ; 326, s. 243-248
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: Electroconvulsive therapy (ECT) is the most effective treatment for patients with severe major depressive disorder (MDD). Given the known sex differences in MDD, improved knowledge may provide more sex-specific recommendations in clinical guidelines and improve outcome. In the present study we examine sex differences in ECT outcome and its predictors. Methods: Clinical data from 20 independent sites participating in the Global ECT-MRI Research Collaboration (GEMRIC) were obtained for analysis, totaling 500 patients with MDD (58.6 % women) with a mean age of 54.8 years. Severity of depression before and after ECT was assessed with validated depression scales. Remission was defined as a HAM-D score of 7 points or below after ECT. Variables associated with remission were selected based on literature (i.e. depression severity at baseline, age, duration of index episode, and presence of psychotic symptoms). Results: Remission rates of ECT were independent of sex, 48.0 % in women and 45.7 % in men (X2(1) = 0.2, p = 0.70). In the logistic regression analyses, a shorter index duration was identified as a sex-specific predictor for ECT outcome in women (X2(1) = 7.05, p = 0.01). The corresponding predictive margins did show overlapping confidence intervals for men and women. Conclusion: The evidence provided by our study suggests that ECT as a biological treatment for MDD is equally effective in women and men. A shorter duration of index episode was an additional sex-specific predictor for remission in women. Future research should establish whether the confidence intervals for the corresponding predictive margins are overlapping, as we find, or not.
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  • Sherratt, K., et al. (författare)
  • Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
  • 2023
  • Ingår i: eLIFE. - : eLife Sciences Publications Ltd. - 2050-084X. ; 12
  • Tidskriftsartikel (refereegranskat)abstract
    • Methods: We used open-source tools to develop a public European COVID-19 Forecast Hub. We invited groups globally to contribute weekly forecasts for COVID-19 cases and deaths reported by a standardised source for 32 countries over the next 1–4 weeks. Teams submitted forecasts from March 2021 using standardised quantiles of the predictive distribution. Each week we created an ensemble forecast, where each predictive quantile was calculated as the equally-weighted average (initially the mean and then from 26th July the median) of all individual models’ predictive quantiles. We measured the performance of each model using the relative Weighted Interval Score (WIS), comparing models’ forecast accuracy relative to all other models. We retrospectively explored alternative methods for ensemble forecasts, including weighted averages based on models’ past predictive performance.Results: Over 52 weeks, we collected forecasts from 48 unique models. We evaluated 29 models’ forecast scores in comparison to the ensemble model. We found a weekly ensemble had a consistently strong performance across countries over time. Across all horizons and locations, the ensemble performed better on relative WIS than 83% of participating models’ forecasts of incident cases (with a total N=886 predictions from 23 unique models), and 91% of participating models’ forecasts of deaths (N=763 predictions from 20 models). Across a 1–4 week time horizon, ensemble performance declined with longer forecast periods when forecasting cases, but remained stable over 4 weeks for incident death forecasts. In every forecast across 32 countries, the ensemble outperformed most contributing models when forecasting either cases or deaths, frequently outperforming all of its individual component models. Among several choices of ensemble methods we found that the most influential and best choice was to use a median average of models instead of using the mean, regardless of methods of weighting component forecast models.Conclusions: Our results support the use of combining forecasts from individual models into an ensemble in order to improve predictive performance across epidemiological targets and populations during infectious disease epidemics. Our findings further suggest that median ensemble methods yield better predictive performance more than ones based on means. Our findings also highlight that forecast consumers should place more weight on incident death forecasts than incident case forecasts at forecast horizons greater than 2 weeks.
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  • Grandis, S., et al. (författare)
  • Validation of selection function, sample contamination and mass calibration in galaxy cluster samples
  • 2020
  • Ingår i: Monthly notices of the Royal Astronomical Society. - : Oxford University Press (OUP). - 0035-8711 .- 1365-2966. ; 498:1, s. 771-798
  • Tidskriftsartikel (refereegranskat)abstract
    • We construct and validate the selection function of the MARD-Y3 galaxy cluster sample. This sample was selected through optical follow-up of the 2nd ROSAT faint source catalogue with Dark Energy Survey year 3 data. The selection function is modelled by combining an empirically constructed X-ray selection function with an incompleteness model for the optical follow-up. We validate the joint selection function by testing the consistency of the constraints on the X-ray flux–mass and richness–mass scaling relation parameters derived from different sources of mass information: (1) cross-calibration using South Pole Telescope Sunyaev-Zel'dovich (SPT-SZ) clusters, (2) calibration using number counts in X-ray, in optical and in both X-ray and optical while marginalizing over cosmological parameters, and (3) other published analyses. We find that the constraints on the scaling relation from the number counts and SPT-SZ cross-calibration agree, indicating that our modelling of the selection function is adequate. Furthermore, we apply a largely cosmology independent method to validate selection functions via the computation of the probability of finding each cluster in the SPT-SZ sample in the MARD-Y3 sample and vice versa. This test reveals no clear evidence for MARD-Y3 contamination, SPT-SZ incompleteness or outlier fraction. Finally, we discuss the prospects of the techniques presented here to limit systematic selection effects in future cluster cosmological studies.
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  • Wetzell, V, et al. (författare)
  • Velocity dispersions of clusters in the Dark Energy Survey Y3 redMaPPer catalogue
  • 2022
  • Ingår i: Monthly notices of the Royal Astronomical Society. - : Royal Astronomical Society. - 0035-8711 .- 1365-2966. ; 514:4, s. 4696-4717
  • Tidskriftsartikel (refereegranskat)abstract
    • We measure the velocity dispersions of clusters of galaxies selected by the red-sequence Matched-filter Probabilistic Percolation (redMaPPer) algorithm in the first three years of data from the Dark Energy Survey (DES), allowing us to probe cluster selection and richness estimation, λ, in light of cluster dynamics. Our sample consists of 126 clusters with sufficient spectroscopy for individual velocity dispersion estimates. We examine the correlations between cluster velocity dispersion, richness, X-ray temperature, and luminosity, as well as central galaxy velocity offsets. The velocity dispersion–richness relation exhibits a bimodal distribution. The majority of clusters follow scaling relations between velocity dispersion, richness, and X-ray properties similar to those found for previous samples; however, there is a significant population of clusters with velocity dispersions that are high for their richness. These clusters account for roughly 22 per cent of the λ < 70 systems in our sample, but more than half (55 per cent) of λ < 70 clusters at z > 0.5. A couple of these systems are hot and X-ray bright as expected for massive clusters with richnesses that appear to have been underestimated, but most appear to have high velocity dispersions for their X-ray properties likely due to line-of-sight structure. These results suggest that projection effects contribute significantly to redMaPPer selection, particularly at higher redshifts and lower richnesses. The redMaPPer determined richnesses for the velocity dispersion outliers are consistent with their X-ray properties, but several are X-ray undetected and deeper data are needed to understand their nature.
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  • Eyles, J.P., et al. (författare)
  • Clinical Outcomes Of Osteoarthritis Management Programs: A Project Of The Oa Trial Bank And Oarsi Joint Effort Initiative Using Individual Participant Data
  • 2023
  • Ingår i: Osteoarthritis and Cartilage. - : Elsevier. - 1063-4584 .- 1522-9653. ; 31, s. S385-S386
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose: People living with osteoarthritis (OA) often do not receive best evidence care. Coordinated OA management programs (OAMPs) have been implemented to address this global evidence-practice gap. An OAMP is defined as a package of care with the following: i) a personalized management plan; ii) with reassessment and progression; iii) using a minimum of 2 core treatments (education, exercise, weight control), and; iv) optional adjunctive therapies. Existing OAMP models differ in treatment mode, intensity, duration, the health professionals delivering care, and the healthcare systems and settings they operate within. Randomized trials (RCTs) and cohort studies assess the outcomes of different OAMPs, however, these models are unlikely to ever be compared in RCTs due to the huge expense and complicated logistics required. Prognosis research provides another method of comparing outcomes of different OAMP models. This study aimed to estimate the pain and self-reported function outcomes (at 12-, 26- and 52-weeks) of people with hip and/or knee OA who participated in international OAMPs. It also aimed to describe the characteristics of OAMP participants.Methods: This study was undertaken by members of the OARSI Joint Effort Initiative (JEI), in collaboration with the OA Trial Bank (Erasmus MC, Netherlands). RCTs and clinical cohorts assessing OAMPs were identified through the JEI membership and literature searches. Eligible studies included data from an ongoing OAMP, in any real-world setting, with participants who were diagnosed with hip or knee OA, and longitudinal measures of patient-reported pain and function. The investigators of eligible studies were invited to complete data delivery agreements with the OA Trial Bank, share individual participant data (IPD), contribute to study design and authorship. Investigators ensured they had local ethics review board approval to contribute IPD to the OA Trial bank. Each dataset was converted to a common format to enable merging into one dataset. The IPD were evaluated to convert pain and function variables to standardized scales as appropriate. Pain scores were converted to a 0-100 point scale (100 worst). Function scores were converted to a 0-100 point scale (100 best). A generalized estimating equations (GEE) model analysis was performed to assess the change in pain and function from baseline across weeks 12, 26, and 52. The model specification was based on an unstructured correlation structure and robust standard errors. Pain and function estimates were adjusted by age, sex and body mass index (BMI). Data analyses were carried out using Stata 15 (StataCorp 2015) and SPSS 17.Results: The investigators of 13 international OAMPs were invited to take part. IPD from 9 OAMPs were delivered: the OA Chronic Care Program, Ramsay Health OA Management Program, Joint Health Program, University of Wisconsin Health Knee and Hip Comprehensive Non-Surgical OA Management Clinic, Improved Management of Patients With Hip and Knee OA in Primary Health Care, Joint Academy, Amsterdam OA cohort, Management of OA In Consultations, and Collaborative model of care between Orthopaedics and allied healthcare professionals in knee OA. The characteristics of the OAMPs are summarised in table 1. The OAMPs were conducted in-person except for the Joint Academy that was implemented as an online OAMP. Individual participant data from 9819 participants were analyzed. The cohort studies were missing large amounts of data, as expected in clinical practice. The characteristics of OAMP participants are summarised in Table 2. The majority of OAMP participants reported the knee as their index joint, their mean age ranged between 62- 67 years, 58-74% were female, 25-48% were working and mean BMI indicated they were overweight at baseline. Pain was most commonly assessed using a Numeric Rating Scale or validated questionnaires e.g. the Knee Injury and OA Outcome Scale (KOOS). Function was mostly assessed using validated questionnaires such as the KOOS. The pain and fuction measured in the original datasets are reported in Table 1. The changes in pain and function of the OAMP participants from baseline across weeks 12, 26, and 52 are summarised in Table 3. There were reductions in pain scores and improvements in function scores seen across all programs at the majority of timepoints.Conclusions: We established the first data bank of IPD from different international OAMPs. Analysis of the IPD demonstrated modest improvements in pain and function across the programs at all timepoints. The most rapid improvements were made by week-12, however, these gains were maintained at week-52. In future work this project will use IPD meta-analysis to identify prognostic factors of people with OA who participate in OAMPs.
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  • Allen, K. D., et al. (författare)
  • Evaluating Osteoarthritis Management Programs: outcome domain recommendations from the OARSI Joint Effort Initiative
  • 2023
  • Ingår i: Osteoarthritis and Cartilage. - : ELSEVIER SCI LTD. - 1063-4584 .- 1522-9653. ; 31:7, s. 954-965
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: To develop sets of core and optional recommended domains for describing and evaluating Osteoarthritis Management Programs (OAMPs), with a focus on hip and knee Osteoarthritis (OA). Design: We conducted a 3-round modified Delphi survey involving an international group of researchers, health professionals, health administrators and people with OA. In Round 1, participants ranked the importance of 75 outcome and descriptive domains in five categories: patient impacts, implementation outcomes, and characteristics of the OAMP and its participants and clinicians. Domains ranked as "important" or "essential" by & GE;80% of participants were retained, and participants could suggest addi-tional domains. In Round 2, participants rated their level of agreement that each domain was essential for evaluating OAMPs: 0 = strongly disagree to 10 = strongly agree. A domain was retained if & GE;80% rated it & GE;6. In Round 3, participants rated remaining domains using same scale as in Round 2; a domain was recommended as "core" if & GE;80% of participants rated it & GE;9 and as "optional" if & GE;80% rated it & GE;7. Results: A total of 178 individuals from 26 countries participated; 85 completed all survey rounds. Only one domain, "ability to participate in daily activities", met criteria for a core domain; 25 domains met criteria for an optional recommendation: 8 Patient Impacts, 5 Implementation Outcomes, 5 Participant Characteristics, 3 OAMP Characteristics and 4 Clinician Characteristics. Conclusion: The ability of patients with OA to participate in daily activities should be evaluated in all OAMPs. Teams evaluating OAMPs should consider including domains from the optional recommended set, with representation from all five categories and based on stakeholder priorities in their local context. Published by Elsevier Ltd on behalf of Osteoarthritis Research Society International.
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  • Mullier, G.A., et al. (författare)
  • Measurement of the energy response of the ATLAS calorimeter to charged pions from W±→ τ±(→ π±ντ) ντ events in Run 2 data
  • 2022
  • Ingår i: European Physical Journal C. - : Springer Science and Business Media LLC. - 1434-6044 .- 1434-6052. ; 82:3
  • Tidskriftsartikel (refereegranskat)abstract
    • The energy response of the ATLAS calorimeter is measured for single charged pions with transverse momentum in the range 10 < pT< 300 GeV. The measurement is performed using 139 fb - 1 of LHC proton–proton collision data at s=13 TeV taken in Run 2 by the ATLAS detector. Charged pions originating from τ-lepton decays are used to provide a sample of high-pT isolated particles, where the composition is known, to test an energy regime that has not previously been probed by in situ single-particle measurements. The calorimeter response to single-pions is observed to be overestimated by ∼ 2 % across a large part of the pT spectrum in the central region and underestimated by ∼ 4 % in the endcaps in the ATLAS simulation. The uncertainties in the measurements are ≲ 1 % for 15 < pT< 185 GeV in the central region. To investigate the source of the discrepancies, the width of the distribution of the ratio of calorimeter energy to track momentum, the energies per layer and response in the hadronic calorimeter are also compared between data and simulation. © 2022, The Author(s).
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  • Rodriguez-Ezpeleta, Naiara, et al. (författare)
  • Trade-offs between reducing complex terminology and producing accurate interpretations from environmental DNA : Comment on “Environmental DNA: What's behind the term?” by Pawlowski et al., (2020)
  • 2021
  • Ingår i: Molecular Ecology. - : Wiley. - 0962-1083 .- 1365-294X. ; 30:19, s. 4601-4605
  • Tidskriftsartikel (refereegranskat)abstract
    • In a recent paper, “Environmental DNA: What's behind the term? Clarifying the terminology and recommendations for its future use in biomonitoring,” Pawlowski et al. argue that the term eDNA should be used to refer to the pool of DNA isolated from environmental samples, as opposed to only extra-organismal DNA from macro-organisms. We agree with this view. However, we are concerned that their proposed two-level terminology specifying sampling environment and targeted taxa is overly simplistic and might hinder rather than improve clear communication about environmental DNA and its use in biomonitoring. This terminology is based on categories that are often difficult to assign and uninformative, and it overlooks a fundamental distinction within eDNA: the type of DNA (organismal or extra-organismal) from which ecological interpretations are derived.
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