Comparison of patients with isolated cutaneous lupus erythematosus versus systemic lupus erythematosus with cutaneous lupus erythematosus as the sole clinical feature: A monocentric study of 149 patients.

BACKGROUND: Cutaneous lupus erythematosus (CLE) may present as an isolated entity or be classified as Systemic lupus erythematosus (SLE) by the presence of laboratory abnormalities, including cytopenia, low complement levels, and/or autoantibodies (CLE with laboratory SLE). OBJECTIVE: To compare isolated CLE and CLE with laboratory SLE and to validate an existing 3-item score with age < 25 years (1 point), phototypes V to VI (1 point), antinuclear antibodies ≥ 1:320 (5 points) to predict the risk of progression from CLE to severe SLE (sSLE). METHODS: Monocentric cohort study including consecutive patients with CLE. CLE with laboratory SLE was defined by 2019 American College of Rheumatology/European League Against Rheumatism classification criteria for SLE score of ≥10 points at baseline with CLE as the sole clinical feature. RESULTS: Of the 149 patients with CLE, 20 had CLE with laboratory SLE. The median follow-up duration was 11.3 years (IQR: 5.1-20.5). Ten patients (7%) had sSLE developed. In survival analysis, the risk of progression to sSLE was higher among CLE with laboratory SLE (hazard ratio = 6.69; 95% CI: 1.93-23.14, P < .001) compared to isolated CLE. In both groups, none of the patients with a risk score ≤ 2 had sSLE developed. LIMITATIONS: Monocentric study with a limited number of patients. CONCLUSIONS: CLE with laboratory patients with SLE have a higher risk of progression to sSLE than isolated CLE.

A potential role for chlamydial infection in rheumatoid arthritis development.

OBJECTIVES: To assess the relationship between self-reported and serologic evidence of prior chlamydial infection, rheumatoid arthritis (RA)-related autoantibodies and risk of RA-development. METHODS: This is a nested study within a prospective Swiss-based cohort including all first-degree relatives of RA patients (RA-FDR) who answered a question on past chlamydial infections. Primary outcome was systemic autoimmunity associated with RA (RA-autoimmunity) defined as positivity for anti-citrullinated peptide antibodies (ACPA) and/or rheumatoid factor (RF). Secondary outcomes were high levels of RA-autoimmunity, RA-associated symptoms and RA-autoimmunity, and subsequent seropositive RA diagnosis. We conducted a nested case-control analysis by measuring the serological status against Chlamydia trachomatis' major outer membrane protein. We replicated our analysis in an independent United States-based RA-FDR cohort. RESULTS: Among 1231 RA-FDRs, 168 (13.6%) developed RA-autoimmunity. Prevalence of self-reported chlamydial infection was significantly higher in individuals with RA-autoimmunity compared with controls (17.9% vs 9.8%, OR = 2.00, 95%CI: 1.27-3.09, p < 0.01). This association remained significant after adjustments (OR = 1.91, 95%CI: 1.20-2.95). Stronger effect sizes were observed in later stages of RA development. There was a similar trend between a positive C. trachomatis serology and high levels of RA-autoimmunity (OR = 3.05, 95% CI: 1.10-8.46, p= 0.032). In the replication cohort, there were significant associations between chlamydial infection and RF positivity and incident RA, but not anti-CCP positivity. CONCLUSIONS: Self-reported chlamydial infections are associated with elevated RA-autoimmunity in at risk individuals. The differing association of chlamydial infections and ACPA/RF between cohorts will need to be explored in future studies but is consistent with a role of mucosal origin of RA-related autoimmunity.

Risk factors of progression from discoid lupus to severe systemic lupus erythematosus: a registry-based cohort study of 164 patients.

BACKGROUND: No study has assessed the risk factors of progression from discoid lupus erythematosus (DLE) to severe systemic lupus erythematosus (sSLE) (defined as requiring hospitalization and specific treatment). OBJECTIVE: To identify the risks factors of and generate a predicting score for progression to sSLE among patients with isolated DLE or associated with systemic lupus erythematosus with mild biological abnormalities. METHODS: In this registry-based cohort study, multivariable analysis was performed using risk factors identified from literature and pruned by backward selection to identify relevant variables. The number of points was weighted proportionally to the odds ratio (OR). RESULTS: We included 30 patients with DLE who developed sSLE and 134 patients who did not. In multivariable analysis, among 12 selected variables, an age of <25 years at the time of DLE diagnosis (OR, 2.8; 95% CI, 1.1-7.0; 1 point), phototype V to VI (OR, 2.7; 95% CI, 1.1-7.0; 1 point), and antinuclear antibody titers of ≥1:320 (OR, 15; 95% CI, 3.3-67.3; 5 points) were selected to generate the score. Among the 54 patients with a score of 0 at baseline, none progressed to sSLE, whereas a score of ≥6 was associated with a risk of approximately 40%. LIMITATIONS: Retrospective design. CONCLUSION: In our cohort, an age of <25 years at the time of DLE diagnosis, phototype V to VI, and antinuclear antibody titers of ≥1:320 were risk factors for developing sSLE.

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.

BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prompt and accurate diagnosis is important to enable patients to receive appropriate care at the earliest possible stage to delay disease progression and prolong survival. Artificial intelligence-assisted lung auscultation and ultrasound (LUS) could constitute an alternative to conventional, subjective, operator-related methods for the accurate and earlier diagnosis of these diseases. This protocol describes the standardised collection of digitally-acquired lung sounds and LUS images of adult outpatients with IPF, NSIP or COPD and a deep learning diagnostic and severity-stratification approach. METHODS: A total of 120 consecutive patients (≥ 18 years) meeting international criteria for IPF, NSIP or COPD and 40 age-matched controls will be recruited in a Swiss pulmonology outpatient clinic, starting from August 2022. At inclusion, demographic and clinical data will be collected. Lung auscultation will be recorded with a digital stethoscope at 10 thoracic sites in each patient and LUS images using a standard point-of-care device will be acquired at the same sites. A deep learning algorithm (DeepBreath) using convolutional neural networks, long short-term memory models, and transformer architectures will be trained on these audio recordings and LUS images to derive an automated diagnostic tool. The primary outcome is the diagnosis of ILD versus control subjects or COPD. Secondary outcomes are the clinical, functional and radiological characteristics of IPF, NSIP and COPD diagnosis. Quality of life will be measured with dedicated questionnaires. Based on previous work to distinguish normal and pathological lung sounds, we estimate to achieve convergence with an area under the receiver operating characteristic curve of > 80% using 40 patients in each category, yielding a sample size calculation of 80 ILD (40 IPF, 40 NSIP), 40 COPD, and 40 controls. DISCUSSION: This approach has a broad potential to better guide care management by exploring the synergistic value of several point-of-care-tests for the automated detection and differential diagnosis of ILD and COPD and to estimate severity. Trial registration Registration: August 8, 2022. CLINICALTRIALS: gov Identifier: NCT05318599.

One-year persistent symptoms and functional impairment in SARS-CoV-2 positive and negative individuals.

BACKGROUND: Persistent symptoms of SARS-CoV-2 are prevalent weeks to months following the infection. To date, it is difficult to disentangle the direct from the indirect effects of SARS-CoV-2, including lockdown, social, and economic factors. OBJECTIVE: The study aims to characterize the prevalence of symptoms, functional capacity, and quality of life at 12 months in outpatient symptomatic individuals tested positive for SARS-CoV-2 compared to individuals tested negative. METHODS: From 23 April to 27 July 2021, outpatient symptomatic individuals tested for SARS-CoV-2 at the Geneva University Hospitals were followed up 12 months after their test date. RESULTS: At 12 months, out of the 1447 participants (mean age 45.2 years, 61.2% women), 33.4% reported residual mild to moderate symptoms following SARS-CoV-2 infection compared to 6.5% in the control group. Symptoms included fatigue (16% vs. 3.1%), dyspnea (8.9% vs. 1.1%), headache (9.8% vs. 1.7%), insomnia (8.9% vs. 2.7%), and difficulty concentrating (7.4% vs. 2.5%). When compared to the control group, 30.5% of SARS-CoV-2 positive individuals reported functional impairment at 12 months versus 6.6%. SARS-CoV-2 infection was associated with the persistence of symptoms (adjusted odds ratio [aOR] 4.1; 2.60-6.83) and functional impairment (aOR 3.54; 2.16-5.80) overall, and in subgroups of women, men, individuals younger than 40 years, those between 40-59 years, and in individuals with no past medical or psychiatric history. CONCLUSION: SARS-CoV-2 infection leads to persistent symptoms over several months, including in young healthy individuals, in addition to the pandemic effects, and potentially more than other common respiratory infections. Symptoms impact functional capacity up to 12 months post infection.

Implementation of recommendations in rheumatic and musculoskeletal diseases: considerations for development and uptake.

A clinical guideline is a document with the aim of guiding decisions based on evidence regarding diagnosis, management and treatment in specific areas of healthcare. Specific to rheumatic and musculoskeletal diseases (RMDs), adherence to clinical guidelines recommendations impacts the outcomes of people with these diseases. However, currently, the implementation of recommendations is less than optimal in rheumatology.The WHO has described the implementation of evidence-based recommendations as one of the greatest challenges facing the global health community and has identified the importance of scaling up these recommendations. But closing the evidence-to-practice gap is often complex, time-consuming and difficult. In this context, the implementation science offers a framework to overcome this scenario.This article describes the principles of implementation science to facilitate and optimise the implementation of clinical recommendations in RMDs. Embedding implementation science methods and techniques into recommendation development and daily practice can help maximise the likelihood that implementation is successful in improving the quality of healthcare and healthcare services.

Significance of eosinophilia in granulomatosis with polyangiitis: data from the French Vasculitis Study Group Registry.

OBJECTIVE: To describe disease presentation and long-term outcome of granulomatosis with polyangiitis (GPA) patients according to blood eosinophils count (Eos) at vasculitis diagnosis. METHODS: Data from newly diagnosed GPA patients registered in the French Vasculitis Study Group database with available eosinophil count at diagnosis were reviewed. Disease characteristics, rate and type of relapses, and overall survival were analysed according to Eos, categorized as normal (<500/mm3), mild-to-moderate hypereosinophilia (HE) (between 500 and 1500/mm3) and severe HE (>1500/mm3). RESULTS: Three hundred and fifty-four patients were included. At diagnosis, 90 (25.4%) patients had HE ≥500/mm3; they were more likely male (73% vs 56%, P = 0.006) and had more frequent cutaneous manifestations (49% vs 33%, P = 0.01), peripheral neuropathy (32% vs 17%, P = 0.004) and higher BVAS (21 vs 18, P = 0.01), compared with those with Eos <500/mm3. Patients with severe HE (n = 28; median Eos 2355, range 1500-9114) had more frequent renal function worsening at presentation (P = 0.008). After a median follow-up of 3.95 (interquartile range 1.95-6.76) years, no difference was found in overall relapse rates according to baseline Eos, but those with HE experienced more neurological (P = 0.013) and skin (P = 0.024) relapses and had more frequently peripheral neuropathy as damage at last follow-up (P = 0.02). Overall survival was not significantly different in patients with normal Eos or HE at diagnosis. (P = 0.08). CONCLUSIONS: Blood HE at diagnosis, observed in about one-quarter of GPA patients, identifies a subgroup of patients with a more severe disease and higher rate of skin and neurological involvement both at presentation and during follow-up.

Representativeness of systemic sclerosis patients in interventional randomized trials: an analysis of the EUSTAR database.

OBJECTIVE: To estimate the extent of and the reasons for ineligibility in randomized controlled trials (RCTs) of SSc patients included in the EUSTAR database, and to determine the association between patient's features and generalizability of study results. METHODS: We searched Clinicaltrials.gov for all records on interventional SSc-RCTs registered from January 2013 to January 2018. Two reviewers selected studies, and information on the main trial features were retrieved. Data from 8046 patients having a visit in the EUSTAR database since 2013 were used to check patient's eligibility. The proportion of potentially eligible patients per trial, and the risk factors for ineligibility were analysed. Complete-, worst- and best-case analyses were performed. RESULTS: Of the 37 RCTs included, 43% were conducted in Europe, 35% were industry-funded, and 87% investigated pharmacological treatments. Ninety-one percent of 8046 patients included could have participated in at least one RCT. In complete-case analysis, the median [range] proportion of eligible patients having the main organ complication targeted by each study was 60% [10-100] in the overall sample of trials, ranging from 50% [32-79] for trials on skin fibrosis to 90% [34-77] for those targeting RP. Among the criteria checked, treatment- and safety-related but not demographic were the main barriers to patient's recruitment. Older age, absence of RP, and lower mRSS were independently associated with the failure to fulfill criteria for any of the included studies. CONCLUSIONS: Patient's representativeness in SSc-RCTs is highly variable and is driven more by treatment- and safety-related rather than demographic criteria.

Localized versus systemic granulomatosis with polyangiitis: data from the French Vasculitis Study Group Registry.

OBJECTIVE: To describe the main features at diagnosis and evolution over time of patients with localized granulomatosis with polyangiitis (L-GPA) compared with those of systemic GPA (S-GPA). METHODS: EULAR definitions of L-GPA, i.e. upper and/or lower respiratory tract involvement, and S-GPA were applied to patients from the French Vasculitis Study Group Registry. L-GPA and S-GPA patients' characteristics at diagnosis and long-term outcomes were analysed and compared. RESULTS: Among the 795 Registry patients, 79 (10%) had L-GPA. Their main clinical manifestations were rhinitis, lung nodules, sinusitis and otitis. L-GPA vs S-GPA patients at diagnosis, respectively, were younger, more frequently had saddle nose deformity or subglottic stenosis and were less often PR3-ANCA-positive. L-GPA vs S-GPA induction therapy less frequently included CYC but more often a combination of MTX and glucocorticoids; 64% of MTX-treated patients experienced disease progression within 18 months post-diagnosis. L- and S-GPA patients' estimated relapse-free-survival probabilities, relapse rates and refractory disease rates at each time point were comparable, but L-GPA patients had more frequent ENT and lung relapses, and higher overall survival rates (P<0.02). Over a median follow-up of 3.5 years, 18 (22.8%) L-GPA progressed to S-GPA, either as a relapse after a period in remission or more frequently in the context of refractory disease. L-GPA patients experienced more ENT-related damage. CONCLUSIONS: The relapse risks of L-GPA and S-GPA were similar, but relapse patterns differed and L-GPA overall survival rate was higher. About one-quarter of L-GPA patients developed S-GPA over time, but without end-stage organ involvement.

Three-Minute Diagnostic Assessment for Delirium using the Confusion Assessment Method (3D-CAM): French translation and cultural adaptation.

PURPOSE: The routine use of validated diagnostic instruments is key to identifying delirious patients early and expediting care. The 3-Minute Diagnostic Assessment for Delirium using the Confusion Assessment Method (3D-CAM) instrument is a brief, easy to use, sensitive, and specific delirium assessment tool for hospitalized patients. We aimed to translate the original English version into French, and then adapt it to older high-risk patients. METHODS: Translation and adaptation of the questionnaire were guided by an expert committee and the 3D-CAM instrument developer. During the translation phase, we achieved semantic and conceptual equivalence of the instrument by conducting forward and backward translations. During the adaptation phase, we assessed the face validity, clarity of wording, and ease of use of the translated questionnaire by administering it to 30 patients and their caregivers in peri-interventional and medical intermediate care units. During both phases, we used qualitative (goal and adequacy of the questionnaire) and quantitative (Sperber score, clarity score) criteria. RESULTS: Translation: four items were judged inadequate and were revised until all reached a Sperber score of < 3/7. Face validity: 91% of patients thought the questionnaire was designed to assess memory, thoughts, or reasoning. Clarity: eight items required adjustments until all scored ≥ 9/10 for clarity. Ease of use: all bedside caregivers reported that the questionnaire was easy to complete after receiving brief instructions. CONCLUSIONS: We produced a culturally adapted French version of the 3D-CAM instrument that is well understood and well-received by older high-risk patients and their caregivers.

RéSUMé: OBJECTIF: L'administration systématique d'instruments diagnostiques validés est essentielle pour identifier précocement les patients confus. Le questionnaire 3D-CAM (3 Minute Diagnostic Confusion Assessment Method) est un outil d'évaluation bref, facile à administrer en milieu hospitalier, sensible et spécifique pour l'état confusionnel. Notre objectif était de le traduire en français, puis de l'adapter à une population de patients âgés à haut risque. MéTHODE: La traduction et l'adaptation ont été guidées par un comité d'experts et le développeur de l'instrument. Nous avons atteint une équivalence sémantique et conceptuelle en menant des traductions antérogrades, puis rétrogrades. Nous avons évalué la validité de contenu, la clarté lexicale, et la facilité d'administration du questionnaire en le soumettant à 30 patients et 30 soignants dans des unités de soins intermédiaires médicaux et péri-interventionnels. Durant les phases de traduction et d'adaptation, nous avons utilisé des critères qualitatifs et quantitatifs. RéSULTATS: Traduction : quatre questions ont été jugées inadéquates et ont été révisées pour atteindre un score de Sperber < 3/7. Validité de contenu : 91% des patients pensaient que le questionnaire était conçu pour évaluer la mémoire, les pensées, ou le raisonnement. Clarté : huit questions ont dû être modifiées pour atteindre un score de clarté ≥ 9/10. Facilité d'administration : tous les soignants pensaient que le questionnaire était facile à utiliser après une brève formation. CONCLUSIONS: Nous avons produit une version française du questionnaire 3D-CAM qui est adaptée aux patients âgés à haut risque et aux soignants en milieu de soins aigus.

Prevalence of Symptoms More Than Seven Months After Diagnosis of Symptomatic COVID-19 in an Outpatient Setting.

BACKGROUND: With millions of SARS-CoV-2 infections worldwide, increasing numbers of patients are coming forward with long-term clinical effects of the disease lasting several weeks to months. OBJECTIVE: To characterize symptoms 7 to 9 months after diagnosis of COVID-19. DESIGN: Self-reported surveys and semistructured telephone interviews at enrollment and 30 to 45 days and 7 to 9 months from diagnosis. SETTING: From 18 March to 15 May 2020, symptomatic persons who tested positive for SARS-CoV-2 at the Geneva University Hospitals were followed by CoviCare, a virtual, clinical, outpatient follow-up program. Persons were contacted again at 30 to 45 days and 7 to 9 months from diagnosis. PARTICIPANTS: Persons who were a part of the CoviCare program from 18 March to 15 May 2020. MEASUREMENTS: A standardized interview of symptoms consistent with COVID-19, with grading of intensity. RESULTS: Of the 629 participants in the study who completed the baseline interviews, 410 completed follow-up at 7 to 9 months after COVID-19 diagnosis; 39.0% reported residual symptoms. Fatigue (20.7%) was the most common symptom reported, followed by loss of taste or smell (16.8%), dyspnea (11.7%), and headache (10.0%). LIMITATION: Limitations include generalizability and missing data for 34.8% of participants. CONCLUSION: Residual symptoms after SARS-CoV-2 infection are common among otherwise young and healthy persons followed in an outpatient setting. These findings contribute to the recognition of long-term effects in a disease mostly counted by its death toll to date by promoting communication on postacute sequelae of SARS-CoV-2 and encouraging physicians to continue long-term monitoring of their patients. PRIMARY FUNDING SOURCE: None.

Advantaged socioeconomic conditions in childhood are associated with higher cognitive functioning but stronger cognitive decline in older age.

Cognitive aging is characterized by large heterogeneity, which may be due to variations in childhood socioeconomic conditions (CSC). Although there is substantial evidence for an effect of CSC on levels of cognitive functioning at older age, results on associations with cognitive decline are mixed. We examined by means of an accelerated longitudinal design the association between CSC and cognitive trajectories from 50 to 96 years. Cognition included two functions generally found to decline with aging: delayed recall and verbal fluency. Data are from six waves of the Survey of Health, Aging, and Retirement in Europe (SHARE), conducted between 2004 and 2015 (n = 24,066 at baseline; 56% female, age 50+). We found a consistent CSC pattern in levels of cognitive functioning in later life. Older people with disadvantaged CSC had lower levels of cognitive functioning than those with more advantaged CSC. We also find that decline is almost 1.6 times faster in the most advantaged group compared with the most disadvantaged group. The faster decline for people with more advantaged CSC becomes less pronounced when we additionally control for adulthood socioeconomic conditions and current levels of physical activity, depressive symptoms, and partner status. Our findings are in line with the latency, pathway, and cumulative model and lend support to theories of cognitive reserve, stating that neuronal loss can no longer be repaired in people with more cognitive reserve once the underlying pathology is substantial and speed of decline is accelerated.

Impact of blended learning on manual defibrillator's use: A simulation-based randomized trial.

BACKGROUND: Blended learning, defined as the combination of traditional face-to-face instructor-led learning and e-learning course, has never been validated as a teaching method for the effective use of manual defibrillators in cardiopulmonary resuscitation. AIM: To evaluate whether paediatric emergency and critical care providers exposed to a blended learning session performed better and recalled more defibrillator skills than those exposed to face-to-face learning only. STUDY DESIGN: A two-period prospective, stratified, single-centre, simulation-based, randomized, controlled trial. METHODS: Registered nurses and postgraduate residents from either a paediatric emergency department or an intensive care unit were randomly assigned to a blended learning or face-to-face learning sessions on the recommended use of a manual defibrillator. Participants' adherence to recommendations was assessed by testing defibrillator skills in three consecutive paediatric cardiopulmonary scenarios performed on the day of the training and once again 2 months later. The primary endpoint was the number of errors observed during defibrillation, cardioversion, and transcutaneous pacing at the time of the initial intervention. RESULTS: Fifty participants were randomized to receive the intervention and 51 to the control group. When pooling all three procedures, the median total errors per participant was lower (2 [IQR: 1-4]) in providers exposed to blended learning than in those exposed to face-to-face learning only (3 [IQR: 2-5]; P = .06). The median of total errors per procedure was also lower. However, both training methods appeared insufficient to maintain appropriate skill retention over time as a repetition of procedures 2 months later without any refresher learning session yielded more errors in both groups. CONCLUSIONS: Learners exposed to blended learning showed a reduced number in the total amount of errors compared with those exposed to face-to-face learning alone, with waning of skills over time. RELEVANCE TO CLINICAL PRACTICE: Proficiently teaching the use of a manual defibrillator can be performed through blended learning.

Associations between serum antibodies to periodontal pathogens and preclinical phases of rheumatoid arthritis.

OBJECTIVES: To examine whether serum antibodies against selected periodontal pathogens are associated with early symptoms of RA development in healthy individuals at risk of developing the disease. METHODS: Within an ongoing study cohort of first-degree relatives of patients with RA (RA-FDRs), we selected four groups corresponding to specific preclinical phases of RA development (n = 201). (i) RA-FDR controls without signs and symptoms of arthritis nor RA-related autoimmunity (n = 51); (ii) RA-FDRs with RA-related autoimmunity (n = 51); (iii) RA-FDRs with inflammatory arthralgias without clinical arthritis (n = 51); and (iv) RA-FDRs who have presented at least one swollen joint ('unclassified arthritis') (n = 48). Groups were matched for smoking, age, sex and shared epitope status. The primary outcome was IgG serum levels against five selected periodontal pathogens and one commensal oral species assessed using validated-in-house ELISA assays. Associations between IgG measurements and preclinical phases of RA development were examined using Kruskal-Wallis or Mann-Whitney tests (α = 0.05). RESULTS: None of the IgGs directed against individual periodontal pathogens significantly differed between the four groups of RA-FDRs. Further analyses of cumulated IgG levels into bacterial clusters representative of periodontal infections revealed significantly higher IgG titres against periodontopathogens in anti-citrullinated protein antibodies (ACPA)-positive RA-FDRs (P = 0.015). Current smoking displayed a marked trend towards reduced IgG titres against periodontopathogens. CONCLUSION: Our results do not suggest an association between serum IgG titres against individual periodontal pathogens and specific preclinical phases of RA development. However, associations between cumulative IgG titres against periodontopathogens and the presence of ACPAs suggest a synergistic contribution of periodontopathogens to ACPA development.

Predictive value of anti-CarP and anti-PAD3 antibodies alone or in combination with RF and ACPA for the severity of rheumatoid arthritis.

OBJECTIVES: The objective of this study was to analyse the predictive value of anti-carbamylated protein (anti-CarP) and anti-peptidyl-arginine deiminase type-3 (anti-PAD3) antibodies, alone or in combination with RF and ACPA, to identify patients at high risk of developing severe RA outcomes. METHODS: Patients within the Swiss Clinical Quality Management registry with a biobank sample were tested for RF, ACPA, anti-CarP, and anti-PAD3 antibodies. We examined the association of each autoantibody with DAS28, HAQ and radiographic damage (Ratingen) at baseline and longitudinally. RESULTS: Analyses included 851 established RA patients and 516 disease controls [axial spondyloarthritis (axSpA = 320) and PsA (196)]. Anti-CarP and anti-PAD3 antibodies were, respectively, present in 22.4% and 10.7% of the whole RA population, and in 13.2% and 3.8% of the RF and ACPA double seronegative patients. At baseline, RA patients with anti-PAD3 had higher DAS28 (4.2 vs 3.7; P= 0.005) and significantly more radiographic damage (14.9 vs 8.8; P= 0.02) than anti-PAD3-negative patients. In the ACPA-negative subgroup, baseline Ratingen scores were significantly higher in anti-PAD3-positive patients (P= 0.01). The combination of anti-PAD3, RF IgM, and ACPA was associated with significantly higher baseline radiographic scores than the double seropositive group (P= 0.04). The presence of any two of the previous autoantibodies was associated with significantly greater radiographic progression over 10 years than if all were absent (P= 0.02). There were no differences in RA outcome measures with regards to anti-CarP. CONCLUSIONS: Anti-PAD3 antibodies are associated with higher disease activity and joint damage scores in RA patients.

The impact of seropositivity on the effectiveness of biologic anti-rheumatic agents: results from a collaboration of 16 registries.

OBJECTIVES: RF and ACPA are used as diagnostic tools and their presence has been associated with clinical response to some biologic DMARDs (bDMARDs) in RA. This study compared the impact of seropositivity on drug discontinuation and effectiveness of bDMARDs in patients with RA, using head-to-head comparisons in a real-world setting. METHODS: We conducted a pooled analysis of 16 observational RA registries. Inclusion criteria were a diagnosis of RA, initiation of treatment with rituximab (RTX), abatacept (ABA), tocilizumab (TCZ) or TNF inhibitors (TNFis) and available information on RF and/or ACPA status. Drug discontinuation was analysed using Cox regression, including drug, seropositivity, their interaction, adjusting for concomitant and past treatments and patient and disease characteristics and accounting for country and calendar year of bDMARD initiation. Effectiveness was analysed using the Clinical Disease Activity Index evolution over time. RESULTS: Among the 27 583 eligible patients, the association of seropositivity with drug discontinuation differed across bDMARDs (P for interaction <0.001). The adjusted hazard ratios for seropositive compared with seronegative patients were 1.01 (95% CI 0.95, 1.07) for TNFis, 0.89 (0.78, 1.02)] for TCZ, 0.80 (0.72, 0.88) for ABA and 0.70 (0.59, 0.84) for RTX. Adjusted differences in remission and low disease activity rates between seropositive and seronegative patients followed the same pattern, with no difference in TNFis, a small difference in TCZ, a larger difference in ABA and the largest difference in RTX (Lundex remission difference +5.9%, low disease activity difference +11.6%). CONCLUSION: Seropositivity was associated with increased effectiveness of non-TNFi bDMARDs, especially RTX and ABA, but not TNFis.

Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.

BACKGROUND: Lung auscultation is fundamental to the clinical diagnosis of respiratory disease. However, auscultation is a subjective practice and interpretations vary widely between users. The digitization of auscultation acquisition and interpretation is a particularly promising strategy for diagnosing and monitoring infectious diseases such as Coronavirus-19 disease (COVID-19) where automated analyses could help decentralise care and better inform decision-making in telemedicine. This protocol describes the standardised collection of lung auscultations in COVID-19 triage sites and a deep learning approach to diagnostic and prognostic modelling for future incorporation into an intelligent autonomous stethoscope benchmarked against human expert interpretation. METHODS: A total of 1000 consecutive, patients aged ≥ 16 years and meeting COVID-19 testing criteria will be recruited at screening sites and amongst inpatients of the internal medicine department at the Geneva University Hospitals, starting from October 2020. COVID-19 is diagnosed by RT-PCR on a nasopharyngeal swab and COVID-positive patients are followed up until outcome (i.e., discharge, hospitalisation, intubation and/or death). At inclusion, demographic and clinical data are collected, such as age, sex, medical history, and signs and symptoms of the current episode. Additionally, lung auscultation will be recorded with a digital stethoscope at 6 thoracic sites in each patient. A deep learning algorithm (DeepBreath) using a Convolutional Neural Network (CNN) and Support Vector Machine classifier will be trained on these audio recordings to derive an automated prediction of diagnostic (COVID positive vs negative) and risk stratification categories (mild to severe). The performance of this model will be compared to a human prediction baseline on a random subset of lung sounds, where blinded physicians are asked to classify the audios into the same categories. DISCUSSION: This approach has broad potential to standardise the evaluation of lung auscultation in COVID-19 at various levels of healthcare, especially in the context of decentralised triage and monitoring. TRIAL REGISTRATION: PB_2016-00500, SwissEthics. Registered on 6 April 2020.

Dynamical System Modeling of Self-Regulated Systems Undergoing Multiple Excitations: First Order Differential Equation Approach.

This article proposes a dynamical system modeling approach for the analysis of longitudinal data of self-regulated homeostatic systems experiencing multiple excitations. It focuses on the evolution of a signal (e.g., heart rate) before, during, and after excitations taking the system out of its equilibrium (e.g., physical effort during cardiac stress testing). Such approach can be applied to a broad range of outcomes such as physiological processes in medicine and psychosocial processes in social sciences, and it allows to extract simple characteristics of the signal studied. The model is based on a first order linear differential equation with constant coefficients defined by three main parameters corresponding to the initial equilibrium value, the dynamic characteristic time, and the reaction to the excitation. Assuming the presence of interindividual variability (random effects) on these three parameters, we propose a two-step procedure to estimate them. We then compare the results of this analysis to several other estimation procedures in a simulation study that clarifies under which conditions parameters are accurately estimated. Finally, applications of this model are illustrated using cardiology data recorded during effort tests.

The Longitudinal Associations of Perceived Neighborhood Disorder and Lack of Social Cohesion With Depression Among Adults Aged 50 Years or Older: An Individual-Participant-Data Meta-Analysis From 16 High-Income Countries.

Although residential environment might be an important predictor of depression among older adults, systematic reviews point to a lack of longitudinal investigations, and the generalizability of the findings is limited to a few countries. We used longitudinal data collected between 2012 and 2017 in 3 surveys including 15 European countries and the United States and comprising 32,531 adults aged 50 years or older. The risk of depression according to perceived neighborhood disorder and lack of social cohesion was estimated using 2-stage individual-participant-data meta-analysis; country-specific parameters were analyzed by meta-regression. We conducted additional analyses on retired individuals. Neighborhood disorder (odds ratio (OR) = 1.25) and lack of social cohesion (OR = 1.76) were significantly associated with depression in the fully adjusted models. In retirement, the risk of depression was even higher (neighborhood disorder: OR = 1.35; lack of social cohesion: OR = 1.93). Heterogeneity across countries was low and was significantly reduced by the addition of country-level data on income inequality and population density. Perceived neighborhood problems increased the overall risk of depression among adults aged 50 years or older. Policies, especially in countries with stronger links between neighborhood and depression, should focus on improving the physical environment and supporting social ties in communities, which can reduce depression and contribute to healthy aging.

Identification of highly active systemic lupus erythematosus by combined type I interferon and neutrophil gene scores vs classical serologic markers.

OBJECTIVES: In SLE, heterogeneous clinical expression and activity may reflect diverse pathogenic and/or effector mechanisms. We investigated SLE heterogeneity by assessing the expression of three gene sets representative of type I IFN (IFN-I), polymorphonuclear neutrophil (PMN) and plasmablast (PB) signatures in a well-characterized, multidisciplinary cohort of SLE patients. We further assessed whether individual gene products could be representative of these three signatures. METHODS: Whole blood, serum and clinical data were obtained from 140 SLE individuals. Gene expression was assessed by NanoString technology, using a panel of 37 probes to compute six IFN-I, one PMN and one PB scores. Protein levels were measured by ELISA. RESULTS: Depending on the score, 45-50% of SLE individuals showed high IFN-I gene expression. All six IFN-I scores were significantly associated with active skin involvement, and two of six were associated with arthritis. IFN-induced Mx1 protein (MX1) level was correlated with IFN-I score (P < 0.0001) and associated with a similar clinical phenotype. In all, 25% of SLE individuals showed high PMN gene expression, associated with SLE fever, serositis, leukopoenia and glucocorticoid use. PB gene expression was highly affected by immunosuppressant agents, with no association with SLE features. Combined IFN-I and PMN gene scores were significantly associated with high disease activity and outperformed anti-dsDNA and anti-C1q autoantibody and complement levels for predicting SLE activity. CONCLUSION: IFN-I and PMN gene scores segregate with distinct SLE clinical features, and their combination may identify high disease activity. MX1 protein level performed similar to IFN-I gene expression.