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Scientific researchers who wish to reuse health data pertaining to individuals can obtain consent through an opt-in procedure or opt-out procedure. The choice of procedure may have consequences for the consent rate and representativeness of the study sample and the quality of the research, but these consequences are not well known. This review aimed to provide insight into the consequences for the consent rate and consent bias of the study sample of opt-in procedures versus opt-out procedures for the reuse of routinely recorded health data for scientific research purposes. A systematic review was performed based on searches in PubMed, Embase, CINAHL, PsycINFO, Web of Science Core Collection, and the Cochrane Library. Two reviewers independently included studies based on predefined eligibility criteria and assessed whether the statistical methods used in the reviewed literature were appropriate for describing the differences between consenters and nonconsenters. Statistical pooling was conducted, and a description of the results was provided. A total of 15 studies were included in this meta-analysis. Of the 15 studies, 13 (87%) implemented an opt-in procedure, 1 (7%) implemented an opt-out procedure, and 1 (7%) implemented both the procedures. The average weighted consent rate was 84% (60,800/72,418 among the studies that used an opt-in procedure and 96.8% (2384/2463) in the single study that used an opt-out procedure. In the single study that described both procedures, the consent rate was 21% in the opt-in group and 95.6% in the opt-out group. Opt-in procedures resulted in more consent bias compared with opt-out procedures. In studies with an opt-in procedure, consenting individuals were more likely to be males, had a higher level of education, higher income, and higher socioeconomic status. Consent rates are generally lower when using an opt-in procedure compared with using an opt-out procedure. Furthermore, in studies with an opt-in procedure, participants are less representative of the study population. However, both the study populations and the way in which opt-in or opt-out procedures were organized varied widely between the studies, which makes it difficult to draw general conclusions regarding the desired balance between patient control over data and learning from health data. The reuse of routinely recorded health data for scientific research purposes may be hampered by administrative burdens and the risk of bias.

BackgroundPatients with decompensated cirrhosis experience high mortality rates. Current prognostic scores, including the model for end-stage liver disease (MELD), may underperform in settings other than in those they were initially developed. Novel biomarkers have been proposed to improve prognostication accuracy and even to predict development of complications.MethodsWe performed a systematic review and meta-analysis on novel urine and blood biomarkers and their ability to predict 90-day mortality in patients with decompensated cirrhosis. Secondary outcomes included 28-day and 1-year mortality, and development of acute-on-chronic liver failure, acute kidney injury and other complications. To overcome differences in units, temporal changes in assays and reporting heterogeneity, we used the ratio of means (RoM) as measure of association for assessing strength in predicting outcomes. An RoM>1 implies that the mean biomarker level is higher in those that develop the outcome than in those that do not.ResultsOf 6629 unique references, 103 were included, reporting on 29 different biomarkers, with a total of 31 362 biomarker patients. Most studies were prospective cohorts of hospitalised patients (median Child-Pugh-Turcotte score of 9 and MELD score of 18). The pooled 90-day mortality rate was 0.27 (95% CI 0.24 to 0.29). The RoM for predicting 90-day mortality was highest for interleukin 6 (IL-6) (2.56, 95% CI 2.39 to 2.74), followed by urinary neutrophil gelatinase-associated lipocalin (uNGAL) (2.42, 95% CI 2.20 to 2.66) and copeptin (2.33, 95% CI 2.17 to 2.50). These RoMs were all higher than for MELD (1.44, 95% CI 1.42 to 1.46).ConclusionNovel biomarkers, including IL-6, uNGAL and copeptin, can probably improve prognostication of patients with decompensated cirrhosis compared with MELD alone.

Background and Aims Hepatic encephalopathy is a frequent complication of cirrhosis. Rifaximin‐α has been included in guidelines for secondary prevention of hepatic encephalopathy, but there are few real‐world data on its efficacy and impact on healthcare utilization. In this study, we aimed to assess the effect of rifaximin‐α on healthcare utilization. Method We conducted a cohort analysis in patients from seven hospitals in the Netherlands, who received rifaximin‐α as secondary prophylaxis for hepatic encephalopathy. Data were compared 6 months before and 6 months after the prescription of rifaximin‐α. The primary endpoint was the effect of rifaximin‐α on healthcare utilization. Secondary endpoint was the effect of rifaximin‐α on healthcare costs. Results We included 126 patients (65% male; median age 68) with a median Model for End‐stage Liver Disease score of 15. The mean number of hepatic encephalopathy episodes after starting rifaximin‐α was lower than before starting rifaximin‐α (0.9 vs. 2.2; p < 0.001). Mean healthcare utilization decreased from 6.1 contacts in the 6 months before rifaximin‐α to 3.3 contacts in the 6 months after starting rifaximin‐α (p < 0.001). The mean number of hospital admissions decreased from 1.7 admissions per patient to 1.0 admissions after starting rifaximin‐α (p < 0.001). The mean number of outpatient visits also decreased after starting rifaximin‐α (2.4 visits per patient to 1.7; p = 0.001). Annual costs per patient before starting rifaximin‐α were €13,320. This was similar to the costs after rifaximin‐α was prescribed (€13,120). Conclusion Rifaximin‐α significantly reduced the number of episodes of hepatic encephalopathy, the number of hospital admissions as well as the number of outpatient and emergency department visits, contributing to a reduction in healthcare utilization. There was no reduction in overall costs.

BackgroundIt is unclear which patients with multiple sclerosis (MS) are most susceptible for omicron breakthrough infections.MethodsWe assessed omicron breakthrough infections in vaccinated patients with MS with and without disease-modifying therapies enrolled in an ongoing large prospective study. We longitudinally studied humoral responses after primary and booster vaccinations and breakthrough infections.ResultsOmicron breakthrough infections were reported in 110/312 (36%) patients with MS, and in 105/110 (96%) infections were mild. Omicron breakthrough infections occurred more frequently in patients treated with anti-CD20 therapies and sphingosine-1 phosphate receptor (S1PR) modulators, patients with impaired humoral responses after primary immunisation (regardless of treatment) and patients without prior SARS-CoV-2 infections. After infection, antibody titres increased in patients on S1PR modulator treatment while anti-CD20 treated patients did not show an increase.ConclusionsSARS-COV-2 omicron breakthrough infections are more prevalent in patients with MS on anti-CD20 therapies and S1PR modulators compared with other patients with MS, which correlated with decreased humoral responses after vaccination. Humoral responses after infection were higher in S1PR modulator-treated patients in comparison to patients on anti-CD20 therapies, suggesting that immunological protection from contracting infection or repeated exposures may differ between these therapies.

BackgroundMessenger RNA (mRNA) vaccines provide robust protection against SARS-CoV-2 in healthy individuals. However, immunity after vaccination of patients with multiple sclerosis (MS) treated with ocrelizumab (OCR), a B cell-depleting anti-CD20 monoclonal antibody, is not yet fully understood.MethodsIn this study, deep immune profiling techniques were employed to investigate the immune response induced by SARS-CoV-2 mRNA vaccines in untreated patients with MS (n=21), OCR-treated patients with MS (n=57) and healthy individuals (n=30).ResultsAmong OCR-treated patients with MS, 63% did not produce detectable levels of antibodies (non-seroconverted), and those who did have lower spike receptor-binding domain-specific IgG responses compared with healthy individuals and untreated patients with MS. Before vaccination, no discernible immunological differences were observed between non-seroconverted and seroconverted OCR-treated patients with MS. However, non-seroconverted patients received overall more OCR infusions, had shorter intervals since their last OCR infusion and displayed higher OCR serum concentrations at the time of their initial vaccination. Following two vaccinations, non-seroconverted patients displayed smaller B cell compartments but instead exhibited more robust activation of general CD4+ and CD8+ T cell compartments, as indicated by upregulation of CD38 and HLA-DR surface expression, when compared with seroconverted patients.ConclusionThese findings highlight the importance of optimising treatment regimens when scheduling SARS-CoV-2 vaccination for OCR-treated patients with MS to maximise their humoral and cellular immune responses. This study provides valuable insights for optimising vaccination strategies in OCR-treated patients with MS, including the identification of CD38 and HLA-DR as potential markers to explore vaccine efficacy in non-seroconverting OCR-treated patients with MS.

ObjectivesTo compare the cumulative incidence and disease severity of reported SARS-CoV-2 omicron breakthrough infections between patients with immune-mediated inflammatory diseases (IMID) on immunosuppressants and controls, and to investigate determinants for breakthrough infections.MethodsData were used from an ongoing national prospective multicentre cohort study on SARS-CoV-2 vaccination responses in patients with IMID in the Netherlands (Target-to-B! (T2B!) study). Patients wih IMID on immunosuppressants and controls (patients with IMID not on immunosuppressants and healthy controls) who completed primary immunisation were included. The observation period was between 1 January 2022 and 1 April 2022, during which the SARS-CoV-2 omicron (BA.1 and BA.2 subvariant) was dominant. A SARS-CoV-2 breakthrough infection was defined as a reported positive PCR and/or antigen test at least 14 days after primary immunisation. A multivariate logistic regression model was used to investigate determinants.Results1593 patients with IMID on immunosuppressants and 579 controls were included. The cumulative incidence of breakthrough infections was 472/1593 (29.6%; 95% CI 27% to 32%) in patients with IMID on immunosuppressants and 181/579 (31.3%; 95% CI 28% to 35%) in controls (p=0.42). Three (0.5%) participants had severe disease. Seroconversion after primary immunisation (relative risk, RR 0.71; 95% CI 0.52 to 0.96), additional vaccinations (RR 0.61; 95% CI 0.49 to 0.76) and a prior SARS-CoV-2 infection (RR 0.60; 95% CI 0.48 to 0.75) were associated with decreased risk of breakthrough infection.ConclusionsThe cumulative incidence of reported SARS-CoV-2 omicron breakthrough infections was high, but similar between patients with IMID on immunosuppressants and controls, and disease severity was mostly mild. Additional vaccinations and prior SARS-CoV-2 infections may reduce the incidence of breakthrough infections.

Heart failure (HF) is the end result of a diverse set of causes such as genetic cardiomyopathies, coronary artery disease, and hypertension and represents the primary cause of hospitalization in Europe. This serious clinical disorder is mostly associated with pathological remodeling of the myocardium, pump failure, and sudden death. While the survival of HF patients can be prolonged with conventional pharmacological therapies, the prognosis remains poor. New therapeutic modalities are thus needed that will target the underlying causes and not only the symptoms of the disease. Under chronic cardiac stress, small noncoding RNAs, in particular microRNAs, act as critical regulators of cardiac tissue remodeling and represent a new class of therapeutic targets in patients suffering from HF. Here, we focus on the potential use of microRNA inhibitors as a new treatment paradigm for HF.

B cell–targeted therapies, such as CD20-targeting mAbs, deplete B cells but do not target the autoantibody-producing plasma cells (PCs). PC-targeting therapies such as daratumumab (anti-CD38) form an attractive approach to treat PC-mediated diseases. CD38 possesses enzymatic and receptor capabilities, which may impact a range of cellular processes including proliferation and differentiation. However, very little is known whether and how CD38 targeting affects B-cell differentiation, in particular for humans beyond cancer settings. Using in-depth in vitro B-cell differentiation assays and signaling pathway analysis, we show that CD38 targeting with daratumumab demonstrated a significant decrease in proliferation, differentiation, and IgG production upon T cell–dependent B-cell stimulation. We found no effect on T-cell activation or proliferation. Furthermore, we demonstrate that daratumumab attenuated the activation of NF-κB in B cells and the transcription of NF-κB–targeted genes. When culturing sorted B-cell subsets with daratumumab, the switched memory B-cell subset was primarily affected. Overall, these in vitro data elucidate novel non-depleting mechanisms by which daratumumab can disturb humoral immune responses. Affecting memory B cells, daratumumab may be used as a therapeutic approach in B cell–mediated diseases other than the currently targeted malignancies.

ObjectivesMethotrexate (MTX) is one of the most commonly used medications to treat rheumatoid arthritis (RA). However, the effect of MTX treatment on cellular immune responses remains incompletely understood. This raises concerns about the vulnerability of these patients to emerging infections and following vaccination.MethodsIn the current study, we investigated the impact of MTX treatment in patients with immune-mediated inflammatory disease on B and CD4 T cell SARS-CoV-2 vaccination responses. Eighteen patients with RA and two patients with psoriatic arthritis on MTX monotherapy were included, as well as 10 patients with RA without immunosuppressive treatment, and 29 healthy controls. CD4 T and B cell responses were analysed 7 days and 3–6 months after two SARS-CoV-2 messenger RNA vaccinations. High-dimensional flow cytometry analysis was used to analyse fresh whole blood, an activation-induced marker assay to measure antigen-specific CD4 T cells, and spike probes to study antigen-specific B cells.ResultsSeven days following two SARS-CoV-2 vaccinations, total B and T cell counts were similar between MTX-treated patients and controls. In addition, spike-specific B cell frequencies were unaffected. Remarkably, the frequency of antigen-specific CD4 T cells was reduced in patients using MTX and correlated strongly with anti-RBD IgG antibodies. These results suggest that decreased CD4 T cell activity may result in slower vaccination antibody responses in MTX-treated patients.ConclusionTaken together, MTX treatment reduces vaccine-induced CD4 T cell activation, which correlates with lower antibody responses.Trial registration numberNL8900.