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- Cossarizza, A., et al.
(författare)
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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
- 2019
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Ingår i: European Journal of Immunology. - : Wiley. - 0014-2980 .- 1521-4141. ; 49:10, s. 1457-1973
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Tidskriftsartikel (refereegranskat)abstract
- These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion.
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| 5. |
- Fornaro, M., et al.
(författare)
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MULTIMORBIDITY AND PROMIS HEALTH OUTCOMES IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHIES : DATA FROM A LARGE, GLOBAL E-SURVEY (COVAD STUDY)
- 2023
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Ingår i: Annals of the Rheumatic Diseases. - : HighWire Press. - 0003-4967 .- 1468-2060. ; 82:Suppl. 1, s. 942-943
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Prevalence of comorbidities and their impact on health outcomes in Idiopathic inflammatory myopathies (IIMs) is limited.Objectives: This study aimed to explore the prevalence of multimorbidity in patients with IIMs, other autoimmune rheumatic diseases (AIRDs) and Healthy controls (HCs). We further explore the impact of comorbidities on patients’ physical, mental, and social health assessed by the Patient-Reported Outcome Measurement Information System (PROMIS instruments).Methods: Data for this study were acquired from the COVAD 2 e-survey hosted by a study group consisting of 167 collaborators in 110 countries. Basic multimorbidity (BM) was defined as the co-occurrence of two or more comorbidities in an individual, while complex multimorbidity (CM) signified the co-occurrence of 3 or more chronic conditions affecting 3 or more different organ systems. PROMIS global physical health (PGP), mental health (PGM), fatigue 4a (F4a) and physical function short form (SF10) were analysed using descriptive statistics and linear regression models. Hierarchical Clustering on Principal Components was performed to outline the grouping.Results: Of 10740 complete respondents, 1558 IIMs, 4591 AIRDs and 3652 HCs were analysed. Individuals with IIMs exhibited high burden of any comorbidity (OR: 1.62 vs AIRDs and 2.95 vs HCs,p<0.01), BM (OR 1.66 vs AIRDs and 3.52 vs HCs,p<0.01), CM (OR: 1.69 vs AIRDs and 6.23 vs HCs,p<0.01), and mental health disorders (MHDs) (OR 1.33 vs AIRDs and 2.63 vs HCs,p<0.01).IIM patients with comorbidities (and MHDs) had worse physical function (low PGP, PGM, SF10 and higher F4a scores, all p<0.001). Worse physical function (PGP) was predicted by age (0.35; 0.030), active disease (-1.51; <0.001), BM (-1.11; <0.001), and MHDs (-1.47; <0.001). PGM was impacted by age (0.51; 0.004), active disease (-1.34, <0.001), BM (-0.75; 0.001) and MHDs (-2.22; <0.001). Determinants of SF10a were age (-3.86; <0.001), active disease (-7.03, <0.001), female (2.85, <0.001), BM (-2.95; <0.001) and MHDs (-2.37; <0.001). Fatigue (F4a) was impacted by age (-0.96, <0.001), active disease (1.45, <0.001), country human development index (0.95; 0.036), BM (1.11; <0.001); and MHDs (2.17; <0.001).Four distinct clusters (Figure 1A, Table 1) were identified i.e., cluster 0: lower burden of comorbidities and good health status; cluster 1: older patients, whit higher burden of comorbidities and poor health status, cluster 2: patients with higher prevalence of MHDs, lower PGP and PGM; and higher F4a scores; and lastly Cluster 3 that comprised older patients with an average burden of comorbidities and overall good health status according to PROMIS scores.Dermatomyositis, anti-synthetase syndrome, necrotizing autoimmune myopathy were similarly represented in all clusters, whilst inclusion body myositis and polymyositis were more predominant in clusters 1 (40.6% and 17.2%) and 3 (32 % and 17.5%), while overlap myositis was more represented in cluster 2 (25.6%) and 0 (32.7%) (Figure 1B).Conclusion: Patients with IIMs have a higher burden of comorbidities that adversely impact physical and mental health, calling for optimized approaches for holistic patient management.
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| 6. |
- Gupta, L., et al.
(författare)
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COMORBIDITIES, COMPLEX MULTIMORBIDITY AND PROMIS HEALTH OUTCOMES AMONGAUTOIMMUNE RHEUMATIC DISEASES : DATA FROM THE COVAD STUDY
- 2023
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Ingår i: Annals of the Rheumatic Diseases. - : HighWire Press. - 0003-4967 .- 1468-2060. ; 82:Suppl. 1, s. 555-556
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Comorbidities have a profound impact on the QoL of patients living with autoimmune rheumatic diseases (AIRDs). Unfortunately, global data on the burden of comorbidities and its impact on health outcomes in this vulnerable group is scarce.Objectives: We studied the prevalence, distribution and clustering of comorbidities and multimorbidity among patients with AIRDs and healthy controls (HCs) and its impact on health outcomes, utilizing data from the ongoing 2nd COVAD study.Methods: The COVAD study is a global e-survey that embodies patient voice while empowering collaborators and young researchers. The study group of 157 physicians across 106 countries from February-June 2022 captured details of AIRDs, autoimmune and non-autoimmune comorbidities, and validated patient reported outcomes. Human Development Index (UNDP 2021-22) of country of residence was taken as a surrogate marker for socioeconomic status (SES).Basic multimorbidity (BM), Complex multimorbidity (CM), Autoimmune multimorbidity (AM) are defined as the co-occurrence of ≥2 non-rheumatic comorbidities, ≥3 non-rheumatic chronic conditions affecting ≥3 different organ systems [1] and ≥3 autoimmune diseases (AIDs) in an individual respectively.PROMIS global physical health (PGP), mental health (PGM), fatigue 4a (F4a) and physical function short form (SF10) scores were calculated for the different groups and compared using descriptive statistics, linear regression and cluster analysis (hierarchical followed by K means).Results: Of 17,612 total respondents, 6149 (62.7%) had underlying AIRDs and 3652 (37.3%) were HCs, with female (80.8%) and Caucasian (53.9%) predominance in the former.All types of multimorbidity were more frequent in AIRDs than HCs, including any comorbidity (77.1% versus 25.0%; OR: 2.9; 2.7-3.2), BM (21.0% vs 6.2%; 4.0; 3.4-4.6), and CM (3.1% vs 0.5%; 6.4; 3.9-10.4), and with prevalence increasing with age (p<0.001) (Figure 1A, B). Comorbidity prevalence was the highest among Americans and Australians (72% each).Patients with AIRDs had poorer health outcomes than HCs, including lower PGP, PGM, SF10, F4a scores (all p<0.001). Among AIRDs, those with comorbidities had lower physical function and PROMIS scores (PGP, PGM, and SF10), and reported fatigue more often (all p<0.001).Female gender, and underlying BM and AM particularly predisposed patients to worse physical health (lower PGP, lower SF10a) and mental health outcomes (lower PGM). While advanced age (-1.815; <0.001), and lower SES (0.871; 0.027) specifically predicted poorer physical function (lower SF10a). Fatigue (higher F4a) was seen more frequently among women (1.711; <0.001), and those with BM (1.142; 0.002); AM (1.768; 0.011), and higher SEC (0.478; 0.016).Cluster analysis of patients with AIRDs revealed 2 clusters (Figure 1C 1D); cluster 1 with low PGP, PGM, SF10 and high F4a; cluster 2 with high PGP, PGM, SF10 and low F4a. The clusters differed predominantly based on the frequency of comorbidities; any comorbidity (59.7% vs 41.8%; p<0.001), BM (28.5% vs 14.7%; 0.001); CM (4.5% vs 1.9%; <0.001), and AM (10.0% vs 4.0%; <0.001).Conclusion: Comorbidities complicate three-quarters of individuals living with AIRDs, and have an outsized impact on self-reported physical function, perceived fatigue, and QoL. Substantial regional differences call for further exploration of key drivers of this important aspect to allow optimized multidisciplinary and holistic care in anticipation of poorer outcomes.Reference: [1]Harrison C, Britt H, Miller G, Henderson J. Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice. BMJ Open. 2014 Jul 1;4(7):e004694.
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| 7. |
- Nath, Anu V. S., et al.
(författare)
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Transport of condensing droplets in Taylor-Green vortex flow in the presence of thermal noise
- 2022
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Ingår i: Physical review. E. - : American Physical Society (APS). - 2470-0045 .- 2470-0053. ; 105:3
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Tidskriftsartikel (refereegranskat)abstract
- We study the role of phase change and thermal noise in particle transport in turbulent flows. We employ a toy model to extract the main physics: Condensing droplets are modelled as heavy particles which grow in size, the ambient flow is modelled as a two-dimensional Taylor-Green flow consisting of an array of vortices delineated by separatrices, and thermal noise are modelled as uncorrelated Gaussian white noise. In general, heavy inertial particles are centrifuged out of regions of high vorticity and into regions of high strain. In cellular flows, we find, in agreement with earlier results, that droplets with Stokes numbers smaller than a critical value, St < St(cr) remain trapped in the vortices in which they are initialized, while larger droplets move ballistically away from their initial positions by crossing separatrices. We independently vary the Peclet number Pe characterizing the amplitude of thermal noise and the condensation rate 11 to study their effects on the critical Stokes number for droplet trapping, as well as on the final states of motion of the droplets. We find that the imposition of thermal noise, or of a finite condensation rate, allows droplets of St < St(cr). to leave their initial vortices. We find that the effects of thermal noise become negligible for growing droplets and that growing droplets achieve ballistic motion when their Stokes numbers become O(1). We also find an intermediate regime prior to attaining the ballistic state, in which droplets move diffusively away from their initial vortices in the presence of thermal noise.
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| 8. |
- Yoshida, A., et al.
(författare)
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IMPAIRED HEALTH-RELATED QUALITY OF LIFE IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHIES : A CROSS-SECTIONAL ANALYSIS FROM AN INTERNATIONAL SURVEY
- 2023
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Ingår i: Annals of the Rheumatic Diseases. - : HighWire Press. - 0003-4967 .- 1468-2060. ; 82:Suppl. 1, s. 952-953
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Comprehensive and large-scale assessment of health-related quality of life in patients with idiopathic inflammatory myopathies (IIMs) worldwide is lacking. The second COVID-19 vaccination in autoimmune disease (COVAD-2) study [1] is an international, multicentre, self-reported e-survey assessing several aspects of COVID-19 infection and vaccination as well as validated patient-reported outcome measures (PROMs) to outline patient experience in various autoimmune diseases (AIDs), with a particular focus on IIMs.Objectives: To investigate physical and mental health in a global cohort of IIM patients compared to those with non-IIM autoimmune inflammatory rheumatic diseases (AIRDs), non-rheumatic AIDs (NRAIDs), and those without AIDs (controls), using Patient-Reported Outcome Measurement Information System (PROMIS) global health data obtained from the COVAD-2 survey.Methods: Demographics, AID diagnoses, comorbidities, disease activity, treatments, and PROMs were extracted from the COVAD-2 database. The primary outcomes were PROMIS Global Physical Health (GPH) and Global Mental Health (GMH) scores. Secondary outcomes included PROMIS physical function short form-10a (PROMIS PF-10a), pain visual analogue scale (VAS), and PROMIS Fatigue-4a scores. Each outcome was compared between IIMs, non-IIM AIRDs, NRAIDs, and controls. Factors affecting GPH and GMH scores in IIMs were identified using multivariable regression analysis.Results: A total of 10,502 complete responses from 1582 IIMs, 4700 non-IIM AIRDs, 545 NRAIDs, and 3675 controls, which accrued as of May 2022, were analysed. Patients with IIMs were older [59±14 (IIMs) vs. 48±14 (non-IIM AIRDs) vs. 45±14 (NRAIDs) vs. 40±14 (controls) years, p<0.001] and more likely to be Caucasian [82.7% (IIMs) vs. 53.2% (non-IIM AIRDs) vs. 62.4% (NRAIDs) vs. 34.5% (controls), p<0.001]. Among IIMs, dermatomyositis (DM) and juvenile DM were the most common (31.4%), followed by inclusion body myositis (IBM) (24.9%). Patients with IIMs were more likely to have comorbidities [68.1% (IIMs) vs. 45.7% (non-IIM AIRDs) vs. 45.1% (NRAIDs) vs. 26.3% (controls), p<0.001] including mental disorders [33.4% (IIMs) vs. 28.2% (non-IIM AIRDs) vs. 28.4% (NRAIDs) vs. 17.9% (controls), p<0.001].GPH median scores were lower in IIMs compared to NRAIDs or controls [13 (interquartile range 10–15) IIMs vs. 13 (11–15) non-IIM AIRDs vs. 15 (13–17) NRAIDs vs. 17 (15–18) controls, p<0.001] and PROMIS PF-10a median scores were the lowest in IIMs [34 (25–43) IIMs vs. 40 (34–46) non-IIM AIRDs vs. 47 (40–50) NRAIDs vs. 49 (45–50) controls, p<0.001]. GMH median scores were lower in AIDs including IIMs compared to controls [13 (10–15) IIMs vs. 13 (10–15) non-IIM AIRDs vs. 13 (11–16) NRAIDs vs. 15 (13–17) controls, p<0.001]. Pain VAS median scores were higher in AIDs compared to controls [3 (1–5) IIMs vs. 4 (2–6) non-IIM AIRDs vs. 2 (0–4) NRAIDs vs. 0 (0–2) controls, p<0.001]. Of note, PROMIS Fatigue-4a median scores were the highest in IIMs [11 (8–14) IIMs vs. 8 (10–14) non-IIM AIRDs vs. 9 (7–13) NRAIDs vs. 7 (4–10) controls, p<0.001].Multivariable regression analysis in IIMs identified older age, male sex, IBM, comorbidities including hypertension and diabetes, active disease, glucocorticoid use, increased pain and fatigue as the independent factors for lower GPH scores, whereas coexistence of interstitial lung disease, mental disorders including anxiety disorder and depression, active disease, increased pain and fatigue were the independent factors for lower GMH scores.Conclusion: Both physical and mental health are significantly impaired in patients with IIMs compared to those with non-IIM AIDs or those without AIDs. Our results call for greater attention to patient-reported experience and comorbidities including mental disorders to provide targeted approaches and optimise global well-being in patients with IIMs.
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| 9. |
- Andreoli, L., et al.
(författare)
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COVID-19 VACCINE SAFETY DURING PREGNANCY AND BREASTFEEDING IN WOMEN WITH AUTOIMMUNE DISEASES : RESULTS FROM THE COVAD STUDY
- 2023
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Ingår i: Annals of the Rheumatic Diseases. - : HighWire Press. - 0003-4967 .- 1468-2060. ; 82:Suppl. 1, s. 56-57
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: COVID-19 vaccine hesitancy among pregnant and breastfeeding women with autoimmune diseases (AID) is often attributed to the fear of adverse events (AE) and disease flares (DF). No data are available regarding COVID-19 vaccine safety in this population.Objectives: We aimed at describing delayed-onset (>7 days) vaccine-related AE (minor and major), DF, and related AID treatment modifications from the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.Methods: Among complete responses from 9201 participants as of June 21, 2022, 6787 (73.8%) were women. Six subgroups were identified upon diagnosis of AID vs healthy controls (HC) and their pregnancy/breastfeeding status at the time of any dose of vaccine (Figure 1).Results: Forty pregnant and 52 breastfeeding AID patients were identified and their vaccination rates (at least one dose) was 100% and 96.2%, respectively (Table 1). Overall AE, minor AE, and major AE were reported significantly more frequently by pregnant than non-pregnant patients (45% vs. 26%, p=0.01; 40% vs. 25.9%, p=0.03; 17.5% vs. 4.6%, p<0.01), but no difference was found in comparison with pregnant HC. No difference was observed between breastfeeding patients and HC. Post-vaccination DF were reported by 17.5% of pregnant and 20% of breastfeeding patients, and by 18% of age- and disease-matched control patients (n=2315). All DF in pregnant/breastfeeding patients were managed with glucocorticoids and a fifth of them required initiation or change in immunosuppressive treatment.Conclusion: This study provides the first insights into the safety of COVID-19 vaccination during the antenatal period in women with AID. While AEs were more commonly reported by pregnant patients with AID, these were no higher than among pregnant healthy controls without AID. These observations are reassuring, likely to strengthen physician-patient communication and overcome hesitancy as the benefits for the mother and fetus by passive immunization are likely to overweigh the potential risks of AE and DF.Reference: [1]Fazal ZZ, et al; COVAD Study Group. COVAD survey 2 long-term outcomes: unmet need and protocol. Rheumatol Int 2022; 42:2151-2158.
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