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Introduction: The objective of this study was to describe kidney involvement in patients with myelodysplastic syndromes (MDS), their treatments, and outcomes. Methods: We conducted a multicenter retrospective study in seven centers, identifying MDS patients with acute kidney injury (AKI), chronic kidney disease (CKD), and urine abnormalities. Results: Fifteen patients developed a kidney disease 3 months after MDS diagnosis. Median urine protein-to-creatinine ratio was 1.9 g/g, and median serum creatinine was 3.2 mg/dL. Ten patients had AKI at presentation, and 12 had extra-renal symptoms. The renal diagnoses included anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV), ANCA negative vasculitis, C3 glomerulonephritis, immune complex-mediated glomerulonephritis, polyarteritis nodosa, and IgA vasculitis. All patients but one received a specific treatment for the MDS-associated kidney injury. The effect of MDS treatment on kidney injury could be assessed in six patients treated with azacitidine, and renal function evolution was heterogenous. After a median follow-up of 14 months, four patients had CKD stage 3, five had CKD stage 4, and three had end stage kidney disease. On the other hand, three evolved to an acute myeloid leukemia and three died. Compared to 84 MDS controls, patients who had kidney involvement were younger, had a higher number of dysplasia lineages, and were more eligible to receive hypomethylating agents, but no survival difference was seen between the two groups. Compared to 265 AAV without MDS, the ten with MDS-associated pauci-immune vasculitis were older, ANCA serology was more frequently negative, and more cutaneous lesions were seen. Conclusion: The spectrum of kidney injuries associated with MDS is mostly represented by vasculitis with glomerular involvement, and especially AAV.
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Because Systemic Lupus Erythematosus (SLE) is a rare disease, and due to the significant prognostic impact of early management, a diagnosis confirmed by a physician with experience in SLE is recommended, for example from an expert center. Once the diagnosis is confirmed, existing manifestations should be identified in particular, renal involvement by an assessment of proteinuria, disease activity and severity should be determined, potential complications anticipated, associated diseases searched for, and the patient's socioprofessional and family context noted. Therapeutic management of SLE includes patient education on recognizing symptoms, understanding disease progression as well as when they should seek medical advice. Patients are informed about routine checkups, treatment side effects, and the need for regular vaccinations, especially if they are receiving immunosuppressive treatment. They are also advised on lifestyle factors such as the risks of smoking, sun exposure, and dietary adjustments, especially when they are receiving corticosteroids. The importance of contraception, particularly when teratogenic medications are being used, and regular cancer screening are emphasized. Support networks can help relieve a patient's isolation. The first-line medical treatment of SLE is hydroxychloroquine (HCQ), possibly combined with an immunosuppressant and/or low-dose corticosteroid therapy. The treatment of flares depends on their severity, and typically involves HCQ and NSAIDs, but may be escalated to corticosteroid therapy with immunosuppressants or biologic therapies in moderate to severe cases. Because there is no curative treatment, the goals of therapy are patient comfort, preventing progression and flares, and preserving overall long-term health and fertility. The frequency of follow-up visits depends on disease severity and any new symptoms. Regular specialized assessments are necessary, especially when treatment changes, but a frequency of every 3 to 6 months is recommended during periods of remission and monthly during active or severe disease, especially in children. These assessments include both clinical and laboratory tests to monitor complications and disease activity, with specific attention to proteinuria.
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OBJECTIVES: Discontinuation or continuation of maintenance immunosuppressive therapy (MIST) after a severe lupus nephritis (LN) requires measuring the risk of relapse but reliable clinical and biological markers are lacking. The WIN-IgE study assesses the value of serum anti-dsDNA IgE autoantibodies as a biomarker for the prediction of relapse in severe LN. METHODS: WIN-IgE is an ancillary study of the WIN-Lupus study (NCT01284725), a prospective controlled clinical trial which evaluated the discontinuation of MIST after 2-3 years in class III or IV±V LN with active lesions. WIN-IgE included all patients with available serum collected at randomisation for continuation or discontinuation of MIST. In these sera, anti-dsDNA antibodies, IgE and IgG, were quantified by ELISA and compared between patients who experienced LN relapse and those who did not during the 24 months of follow-up. RESULTS: 52 patients were included, 25 in the MIST continuation group and 27 in the MIST discontinuation group, 12 experienced a biopsy-proven relapse of LN. Initial anti-dsDNA IgE antibodies levels were higher in patients with subsequent LN relapse. Anti-dsDNA IgG was not associated with relapse. Survival without LN relapse was lower in patients with anti-dsDNA IgE levels above vs below a threshold of 1.9 arbitrary units (p=0.019), particularly in the subgroup of patients randomised to discontinue MIST (p=0.002). In all patients, anti-dsDNA IgE above 1.9 arbitrary units had a positive predictive value of 0.8 for severe LN relapse. CONCLUSIONS: These results suggest blood anti-dsDNA IgE as a non-invasive predictive marker of LN relapse.
Subject(s)
Antibodies, Antinuclear , Biomarkers , Immunoglobulin E , Lupus Nephritis , Recurrence , Adult , Female , Humans , Male , Middle Aged , Antibodies, Antinuclear/blood , Biomarkers/blood , DNA/immunology , Immunoglobulin E/blood , Immunoglobulin E/immunology , Immunosuppressive Agents/therapeutic use , Lupus Nephritis/diagnosis , Lupus Nephritis/immunology , Lupus Nephritis/blood , Prognosis , Prospective StudiesABSTRACT
Introduction: During COVID-19, renal impairment is associated with poor prognosis in intensive care unit (ICU). We aimed to assess the existence and incidence of early renal dysfunction and its prognostic value in patients with COVID-19-related acute respiratory distress syndrome (ARDS). Methods: In this prospective multicenter study, patients aged over 18 years with invasive mechanical ventilation (MV) for ARDS were enrolled in 3 ICUs. Precise evaluation of renal dysfunction markers, including urinary protein electrophoresis (UPE) and quantification, was performed within 24 hours after MV onset. Results: From March 2020 to December 2021, 135 patients were enrolled as follows: 100 with COVID-19 ARDS and 35 with non-COVID-19 ARDS. UPE found more tubular dysfunction in patients with COVID-19 (68% vs. 21.4%, P < 0.0001) and more normal profiles in patients without COVID-19 (65.0% vs. 11.2%, P = 0.0003). Patients with COVID-19 significantly displayed early urinary leakage of tubular proteins such as beta-2-microglobulin (ß2m) and free light chains, tended to display acute kidney injury (AKI) more frequently (51.0% vs. 34.3%, P = 0.088), had longer MV (20 vs. 9 days, P < 0.0001) and longer ICU stay (26 vs. 15 days, P < 0.0001). In COVID-19 ARDS, leakage of free lambda light chain was associated with the onset of Kidney Disease: Improving Global Outcomes (KDIGO) ≥2 AKI (odds ratio [OR]: 1.014, 95% confidence interval [CI] 1.003-1.025, P = 0.011). Conclusion: Patients with COVID-19-related ARDS display a proximal tubular dysfunction before the onset of AKI, which predicts AKI. Proximal tubular damage seems an important mechanism of COVID-19-induced nephropathy. Analysis of urinary proteins is a reliable noninvasive tool to assess proximal tubular dysfunction in the ICU.
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In the field of complex autoimmune diseases such as systemic lupus erythematosus (SLE), systems immunology approaches have proven invaluable in translational research settings. Large-scale datasets of transcriptome profiling have been collected and made available to the research community in public repositories, but remain poorly accessible and usable by mainstream researchers. Enabling tools and technologies facilitating investigators' interaction with large-scale datasets such as user-friendly web applications could promote data reuse and foster knowledge discovery. Microarray blood transcriptomic data from the LUPUCE cohort (publicly available on Gene Expression Omnibus, GSE49454), which comprised 157 samples from 62 adult SLE patients, were analyzed with the third-generation (BloodGen3) module repertoire framework, which comprises modules and module aggregates. These well-characterized samples corresponded to different levels of disease activity, different types of flares (including biopsy-proven lupus nephritis), different auto-antibody profiles and different levels of interferon signatures. A web application was deployed to present the aggregate-level, module-level and gene-level analysis results from LUPUCE dataset. Users can explore the similarities and heterogeneity of SLE samples, navigate through different levels of analysis, test hypotheses and generate custom fingerprint grids and heatmaps, which may be used in reports or manuscripts. This resource is available via this link: https://immunology-research.shinyapps.io/LUPUCE/. This web application can be employed as a stand-alone resource to explore changes in blood transcript profiles in SLE, and their relation to clinical and immunological parameters, to generate new research hypotheses.
Subject(s)
Lupus Erythematosus, Systemic , Transcriptome , Lupus Erythematosus, Systemic/genetics , Lupus Erythematosus, Systemic/blood , Humans , Internet , Databases, Genetic , Gene Expression Profiling/methods , SoftwareABSTRACT
Kidney Biopsy (KB) is a crucial diagnostic tool in the field of renal diseases and is routinely performed in nephrology departments. A previous survey conducted by the Société Francophone de Néphrologie Dialyse Transplantation (SFNDT) revealed significant disparities in clinical practices, sometimes conflicting with the existing literature and recently published recommendations. In response, the SFNDT wished to promote the development of best practice guidelines, under the auspices of the French National Authority for Health (HAS), to establish a standardized framework for performing kidney biopsies in France.
La biopsie rénale (BR) est un outil diagnostique crucial dans le domaine des maladies rénales et est pratiquée en routine dans les services de néphrologie. Une précédente enquête menée par la Société francophone de néphrologie, dialyse et transplantation (SFNDT) a révélé d'importantes disparités dans les pratiques cliniques, parfois en contradiction avec la littérature existante et les recommandations récemment publiées. En réponse, la SFNDT a souhaité promouvoir l'élaboration de recommandations de bonnes pratiques, sous l'égide de la Haute Autorité de santé (HAS), afin d'établir un cadre standardisé pour la réalisation des biopsies rénales en France.
Subject(s)
Kidney Diseases , Nephrology , Humans , Kidney Diseases/diagnosis , Kidney Diseases/therapy , Kidney Diseases/pathology , France , Kidney/pathology , BiopsyABSTRACT
Introduction: Rituximab is a first-line treatment for membranous nephropathy. Nephrotic syndrome limits rituximab exposure due to urinary drug loss. Rituximab underdosing (serum level <2 µg/ml at month-3) is a risk factor for treatment failure. We developed a machine learning algorithm to predict the risk of underdosing based on patients' characteristics at rituximab infusion. We investigated the relationship between the predicted risk of underdosing and the cumulative dose of rituximab required to achieve remission. Methods: Rituximab concentrations were measured at month-3 in 92 sera from adult patients with primary membranous nephropathy, split into a training (75%) and a testing set (25%). A forward-backward machine-learning procedure determined the best combination of variables to predict rituximab underdosing in the training data set, which was tested in the test set. The performances were evaluated for accuracy, sensitivity, and specificity in 10-fold cross-validation training and test sets. Results: The best variables combination to predict rituximab underdosing included age, gender, body surface area (BSA), anti-phospholipase A2 receptor type 1 (anti-PLA2R1) antibody titer on day-0, serum albumin on day-0 and day-15, and serum creatinine on day-0 and day-15. The accuracy, sensitivity, and specificity were respectively 79.4%, 78.7%, and 81.0% (training data set), and 79.2%, 84.6% and 72.7% (testing data set). In both sets, the algorithm performed significantly better than chance (P < 0.05). Patients with an initial high probability of underdosing experienced a longer time to remission with higher rituximab cumulative doses required to achieved remission. Conclusion: This algorithm could allow for early intensification of rituximab regimen in patients at high estimated risk of underdosing to increase the likelihood of remission.
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Background: According to data from large national registries, almost 20%-25% of patients with end-stage kidney disease have an undetermined kidney disease (UKD). Recent data have shown that monogenic disease-causing variants are under-diagnosed. We performed exome sequencing (ES) on UKD patients in our center to improve the diagnosis rate. Methods: ES was proposed in routine practice for patients with UKD including kidney biopsy from January 2019 to December 2021. Mutations were detected using a targeted bioinformatic customized kidney gene panel (675 genes). The pathogenicity was assessed using American College of Medical Genetics guidelines. Results: We included 230 adult patients, median age 47.5 years. Consanguinity was reported by 25 patients. A family history of kidney disease was documented in 115 patients (50%). Kidney biopsies were either inconclusive in 69 patients (30.1%) or impossible in 71 (30.9%). We detected 28 monogenic renal disorders in 75 (32.6%) patients. Collagenopathies was the most common genetic kidney diagnosis (46.7%), with COL4A3 and COL4A4 accounting for 80% of these diagnoses. Tubulopathies (16%) and ciliopathies (14.7%) yielded, respectively, the second and third genetic kidney diagnosis category and UMOD-associated nephropathy as the main genetic findings for tubulopathies (7/11). Ten of the 22 patients having ES "first" eventually received a positive diagnosis, thereby avoiding 11 biopsies. Among the 44 patients with glomerular, tubulo-interstitial or vascular nephropathy, 13 (29.5%) were phenocopies. The diagnostic yield of ES was higher in female patients (P = .02) and in patients with a family history of kidney disease (P < .0001), reaching 56.8% when the patient had both first- and second-degree family history of renal disease. Conclusion: Genetic diagnosis has provided new clinical insights by clarifying or reclassifying kidney disease etiology in over a third of UKD patients. Exome "first" may have a significant positive diagnostic yield, thus avoiding invasive kidney biopsy; moreover, the diagnostic yield remains elevated even when biopsy is impossible or inconclusive. ES provides a clinical benefit for routine nephrological healthcare in patients with UKD.
Subject(s)
Autoimmune Diseases , Grief , Qualitative Research , Humans , Autoimmune Diseases/psychology , Female , Male , Middle Aged , Adult , Interdisciplinary ResearchABSTRACT
OBJECTIVES: Lupus activity has long been considered to decline after initiation of maintenance dialysis (MD). This assumption is based on limited historical data. We aimed to describe the natural history of lupus in patients undergoing MD. METHODS: We assembled a national retrospective cohort of lupus patients who started dialysis between 2008 and 2011, included in the REIN registry with a 5-year follow-up. We analysed healthcare consumption from the National Health Data System. We evaluated the proportion of patients 'off-treatment' (i.e. receiving 0-5 mg/d of corticosteroids, without any immunosuppressive therapy) after the start of MD. We describe the cumulative incidences of non-severe and severe lupus flares, cardiovascular events, severe infections, kidney transplantation and survival. RESULTS: We included 137 patients (121 females and 16 males), with a median age of 42 years. The proportion of patients 'off-treatment' at dialysis initiation was 67.7% (95% CI: 61.8, 73.8%), and increased to 76.0% (95% CI: 73.3, 78.8) at 1 year and 83.4% (95% CI: 81.0, 85.9%) at 3 years, with a lower proportion in younger patients. Lupus flares mainly occurred in the first year after MD initiation, and at 12 months 51.6% of patients had presented a non-severe lupus flare and 11.6% a severe lupus flare. In addition, 42.2% (95% CI: 32.9, 50.3%) and 23.7% (95% CI: 16.0, 30.7%) of patients at 12 months had been hospitalized for cardiovascular events or infections, respectively. CONCLUSION: The proportion of lupus patients off-treatment increases after MD initiation, but non-severe and severe lupus flares continue to occur, mainly during the first year. This calls for the continued follow-up of lupus patients by lupus specialists after dialysis initiation.
Subject(s)
Cardiovascular Diseases , Lupus Erythematosus, Systemic , Female , Male , Humans , Adult , Renal Dialysis , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/therapy , Retrospective Studies , Symptom Flare UpABSTRACT
OBJECTIVE: To compare the long-term efficacy and safety of azathioprine (AZA), 18-month fixed-schedule rituximab (RTX), 18-month tailored RTX and 36-month RTX in preventing relapses in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis who achieved a complete remission after induction therapy. Patients treated with 36-month RTX received either a fixed or a tailored regimen for the first 18 months and a fixed regimen for the last 18 months (36-month fixed/fixed RTX and 36-month tailored/fixed RTX, respectively). METHODS: The Maintenance of Remission using Rituximab in Systemic ANCA-associated Vasculitis (MAINRITSAN) trials sequentially compared: 18-month fixed-schedule RTX versus AZA (MAINRITSAN); 18-month fixed-schedule RTX versus 18-month tailored-RTX (MAINRITSAN2); and extended therapy to 36 months with four additional RTX infusions after MAINRITSAN2 versus placebo (MAINRITSAN3). Patients were then followed prospectively through month 84 and their data were pooled to analyse relapses and adverse events. The primary endpoint was relapse-free survival at month 84. RESULTS: 277 patients were enrolled and divided in 5 groups: AZA (n=58), 18-month fixed-schedule RTX (n=97), 18-month tailored-RTX (n=40), 36-month tailored/fixed RTX (n=42), 36-month fixed/fixed RTX (n=41). After adjustment for prognostic factors, 18-month fixed-schedule RTX was superior to AZA in preventing major relapses at month 84 (HR 0.38, 95% CI 0.20 to 0.71). The 18-month tailored-RTX regimen was associated with an increased risk of major relapse compared with fixed-schedule regimen (HR 2.92, 95% CI 1.43 to 5.96). The risk of major relapse was similar between 36-month fixed/fixed and 18-month fixed-RTX (HR 0.69, 95% CI 0.38 to 1.25). CONCLUSIONS: According to these results, it appears that the 84-month remission rate is higher with an 18-month fixed RTX regimen compared with AZA and 18-month tailored RTX. Also, extending RTX to 36 months does not appear to reduce the long-term relapse rate compared with the 18-month fixed RTX regimen. However, as this study was underpowered to make this comparison, further prospective studies are needed to determine the potential long-term benefits of extending treatment in these patients.
Subject(s)
Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis , Humans , Rituximab/adverse effects , Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis/drug therapy , Azathioprine , Antibodies, Antineutrophil Cytoplasmic , Recurrence , Remission Induction , Treatment Outcome , Immunosuppressive AgentsABSTRACT
OBJECTIVES: Adult IgA vasculitis (IgAV) is more common in males, but the potential impact of gender remains unclear. We aimed to describe the impact of gender on presentation and outcome in adult IgAV. METHODS: We retrospectively analysed data from a multicentre retrospective cohort of 260 patients (IGAVAS). Comparisons were made according to gender status. RESULTS: Data from 259 patients (95 females and 164 males) were analysed. Compared with females, baseline presentation in males was similar for cutaneous involvement (100% vs 100%, p= 1.0), joint involvement (60% vs 63%, p= 0.7), gastrointestinal involvement (57% vs 45%, p= 0.093) and glomerulonephritis (73% vs 64%, p= 0.16). Glomerulonephritis was more severe at baseline in males than in females, with a lower median estimated glomerular filtration rate (eGFR) (90 [IQR 59-105] vs 97 ml/min/1.73m2 [76-116], p= 0.015) and increased median proteinuria (0.84 vs 0.58 g/day, p= 0.01). There were no differences in histological findings in patients who had a kidney biopsy. Methylprednisolone was more frequently used in males (40% vs22%, p= 0.015), as were immunosuppressants, especially cyclophosphamide 24% vs 6%, p= 0.0025) and azathioprine (10% vs 2%, p= 0.038). Analysis of treatment response showed that males had more frequent refractory disease (30% vs 13%, p= 0.004). Long-term outcomes (mortality and progression to chronic kidney failure) did not differ. CONCLUSION: Kidney involvement in IgAV appears to more severe in males, which is supported by more intensive treatment contrasting with a lower response rate. This study raises the question of gender as a new prognostic factor in adult IgAV.
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BACKGROUND: Feature selection is a critical step for translating advances afforded by systems-scale molecular profiling into actionable clinical insights. While data-driven methods are commonly utilized for selecting candidate genes, knowledge-driven methods must contend with the challenge of efficiently sifting through extensive volumes of biomedical information. This work aimed to assess the utility of large language models (LLMs) for knowledge-driven gene prioritization and selection. METHODS: In this proof of concept, we focused on 11 blood transcriptional modules associated with an Erythroid cells signature. We evaluated four leading LLMs across multiple tasks. Next, we established a workflow leveraging LLMs. The steps consisted of: (1) Selecting one of the 11 modules; (2) Identifying functional convergences among constituent genes using the LLMs; (3) Scoring candidate genes across six criteria capturing the gene's biological and clinical relevance; (4) Prioritizing candidate genes and summarizing justifications; (5) Fact-checking justifications and identifying supporting references; (6) Selecting a top candidate gene based on validated scoring justifications; and (7) Factoring in transcriptome profiling data to finalize the selection of the top candidate gene. RESULTS: Of the four LLMs evaluated, OpenAI's GPT-4 and Anthropic's Claude demonstrated the best performance and were chosen for the implementation of the candidate gene prioritization and selection workflow. This workflow was run in parallel for each of the 11 erythroid cell modules by participants in a data mining workshop. Module M9.2 served as an illustrative use case. The 30 candidate genes forming this module were assessed, and the top five scoring genes were identified as BCL2L1, ALAS2, SLC4A1, CA1, and FECH. Researchers carefully fact-checked the summarized scoring justifications, after which the LLMs were prompted to select a top candidate based on this information. GPT-4 initially chose BCL2L1, while Claude selected ALAS2. When transcriptional profiling data from three reference datasets were provided for additional context, GPT-4 revised its initial choice to ALAS2, whereas Claude reaffirmed its original selection for this module. CONCLUSIONS: Taken together, our findings highlight the ability of LLMs to prioritize candidate genes with minimal human intervention. This suggests the potential of this technology to boost productivity, especially for tasks that require leveraging extensive biomedical knowledge.
Subject(s)
Clinical Relevance , Data Mining , Humans , Gene Expression Profiling , Knowledge , Language , 5-Aminolevulinate SynthetaseABSTRACT
Introduction: Previous studies have suggested that genetic kidney diseases in adults are often overlooked, representing up to 10% of all cases of chronic kidney disease (CKD). We present data obtained from exome sequencing (ES) analysis of patients with biopsy-proven undetermined kidney disease (UKD). Methods: ES was proposed during routine clinical care in patients with UKD from January 2020 to December 2021. We used in silico custom kidney genes panel analysis to detect pathological variations using American College of Medical Genetics guidelines in 52 patients with biopsy-proven UKD with histological finding reassessment. Results: We detected 12 monogenic renal disorders in 21 (40.4%) patients. The most common diagnoses were collagenopathies (8/21,38.1%), COL4A3 and COL4A4 accounting for 80% of these diagnoses, and ciliopathies (5/21, 23.8%). The diagnostic yield of ES was higher in female patients and patients with a family history of kidney disease (57.1% and 71%, respectively). Clinical nephropathy categories matched with the final genetic diagnoses in 72.7% of cases, whereas histological renal lesions matched with the final diagnoses in 92.3% of cases. The genetics diagnoses and histopathological findings were in complete agreement for both glomerular and tubulointerstitial cases. Interstitial inflammation without tubulitis was only observed in tubulopathies or ciliopathies. Isolated CKD, CKD with proteinuria or hematuria, and isolated proteinuria or hematuria yielded the highest diagnostic yields (54.6%, 52.6%, and 42.9%, respectively). Conclusion: ES done in patients with biopsy-proven UKD should be considered as a first-line tool for CKD patients with a family history of kidney disease. Combination of ES and kidney biopsy may have major impacts on kidney disease ontology.
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Lupus nephritis (LN) is one of the main determinants of the severity of systemic lupus erythematosus (SLE). LN flares can lead to organ damage with chronic kidney disease (CKD) or even end-stage kidney disease (ESKD) and impair patients' survival. The "treat-to-target" strategy, which aims at obtaining and maintaining remission or low disease activity of SLE to alleviate symptoms and prevent organ damage, also refers to the control of residual activity in the kidney. But damage in SLE can also come from treatments, and toxicities related to long-term use of treatments should be prevented. This may contribute to the frequent nonadherence in patients with SLE. The de-escalation or even weaning of treatments whenever possible, or "think-to-untreat" (T2U) strategy, is to be considered in patients with LN. This possibility of treatment weaning in LN was explored in retrospective cohorts, on the basis of long-term clinical remission. It was also proposed prospectively with a kidney-biopsy-based approach, combining clinical and pathologic remission to secure treatment weaning. The WIN-Lupus trial was the first randomized controlled trial comparing the continuation to the discontinuation of maintenance immunosuppressive therapy (IST) after 2 to 3 years in patients with LN in remission. It showed a higher risk of severe SLE flares in patients who discontinued treatment, but also a possibility of weaning without flare in some patients, who need to be better identified. We propose here a narrative review of the available literature on the weaning of treatment in LN and discuss how to secure a T2U strategy.
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On the occasion of the 20th anniversary of the REIN (French Renal Epidemiology and Information Network), a summary work on the contributions of the national French ESKD register was carried out. On the issue its role in research, the following key messages were retained. The growing number of publications, dissertations, theses and teams involved shows that the REIN registry has attained its objective of being a shared research infrastructure, in the field of epidemiology as well as in public health, health economics or medical data processing. REIN is a valuable tool for the study of specific kidney diseases, particularly for epidemiological data pertaining to rare diseases that may lead to stage 5 of a chronic kidney disease. The linkage with the data from the National Healthcare Data System enables integrating and analysing the medical treatments received by patients, before the initiation of the replacement therapy and towards the end, as well as the details of the hospital stays.
À l'occasion des 20 ans du REIN (Réseau Épidémiologie et Information en Néphrologie), un travail de synthèse sur les apports du registre a été mené. Sur la question de REIN comme outil au service de la recherche, les messages clés suivants ont été retenus. Le nombre croissant de publications, mémoires, thèses et d'équipes impliqués dans la valorisation des données démontre que le registre REIN a atteint son objectif d'être une infrastructure de recherche partagée, aussi bien dans le champ de l'épidémiologie que de la santé publique, que de l'économie de la santé ou l'informatique médicale. REIN est un outil précieux pour l'étude de pathologies rénales spécifiques, en particulier pour les données épidémiologiques de maladies rares pouvant conduire au stade 5 d'une maladie rénale chronique. Le couplage avec les données du Système national des données de santé (SNDS) permet d'intégrer et d'analyser les traitements médicaux reçus par les patients, en amont de l'initiation du traitement de suppléance et au décours, ainsi que le détail des séjours hospitaliers.
Subject(s)
Kidney , Renal Insufficiency, Chronic , Humans , Length of Stay , Public Health , RegistriesABSTRACT
BACKGROUND: C3 glomerulopathy and idiopathic immunoglobulin-mediated membranoproliferative GN (Ig-MPGN) are rare complement-mediated kidney diseases. Inherited forms of C3 glomerulopathy/Ig-MPGN are rarely described. METHODS: Three hundred ninety-eight patients with C3 glomerulopathy ( n =296) or Ig-MPGN ( n =102) from a national registry were screened for three complement genes: factor H ( CFH ), factor I ( CFI ), and C3 . Patients with rare variant (minor allele frequency <0.1%) were included. Epidemiologic, clinical, and immunologic data at diagnosis and kidney outcomes of patients were retrospectively collected. RESULTS: Fifty-three different rare variants, including 30 (57%), 13 (24%), and ten (19%) in CFH , CFI , and C3 variants, were identified in 66/398 (17%) patients. Thirty-eight (72%) variants were classified as pathogenic, including 20/30 (66%) and 11/13 (84%) variants in CFH and CFI , respectively, impairing synthesis of factor H or factor I regulators. Fifteen of 53 (27%) variants were of unknown significance. At diagnosis, 69% of patients were adult (median age of 31 years). With the exception of biologic stigma of thrombotic microangiopathy, which was more frequent in patients with CFI variants (5/14 [36%] versus 1/37 [3%] and 0% in the CFH group and C3 group, respectively, P < 0.001), the clinical and histologic features were similar among the three variants groups. The kidney outcome was poor regardless of the age at onset and treatment received. Sixty-five percent (43/66) of patients with rare variant reach kidney failure after a median delay of 41 (19-104) months, compared with 28% (55/195) after a median delay of 34 (12-143) months in the nonvariant group. Among 36 patients who received a kidney transplant, 2-year recurrence was frequent, occurring in 39% (12/31), without difference between variant groups, and led to graft failure in three cases. CONCLUSIONS: In our cohort, 17% of C3 glomerulopathy/Ig-MPGN cases were associated with rare variants in the CFH , CFI , or C3 genes. In most cases, a quantitative deficiency in factor H or factor I was identified. The presence of a rare variant was associated with poor kidney survival. PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_08_CJN0000000000000252.mp3.
Subject(s)
Glomerulonephritis, Membranoproliferative , Kidney Diseases , Adult , Humans , Glomerulonephritis, Membranoproliferative/genetics , Glomerulonephritis, Membranoproliferative/drug therapy , Complement C3/genetics , Retrospective Studies , Complement Factor H/genetics , Immunoglobulins , Kidney Diseases/genetics , FibrinogenSubject(s)
Autoimmune Diseases , Rheumatic Diseases , Humans , Quality of Life , Depression/diagnosis , Fatigue/diagnosis , Anxiety/diagnosisABSTRACT
OBJECTIVE: Recent studies have highlighted that systemic lupus erythematosus (SLE) is characterized by different types of symptoms: type 1 symptoms related to inflammation and disease activity and type 2 symptoms such as fatigue, anxiety-depression, and pain. Our aim was to investigate the relation between type 1 and type 2 symptoms, and their impact on health-related quality of life (HRQoL) in SLE. METHODS: A literature review was conducted about disease activity/type1 and type 2 symptoms. Articles in English published after 2000 were located on Medline via Pubmed. The articles chosen evaluated at least one type 2 symptom or HRQoL using a validated scale in adult patients. RESULTS: Overall, 182 articles were analyzed and 115 were retained including 21 randomized, controlled trials and corresponding to 36 831 patients. We found that in SLE, inflammatory activity/type 1 symptoms were mostly uncorrelated with type 2 symptoms and/or HRQoL. Several studies even showing an inverse relationship. No or weak correlation was observed in 85, 3% (92, 6%), 76, 7% (74, 4%) and 37, 5% (73, 1%) of studies (patients) for fatigue, anxiety-depression, and pain, respectively. For HRQoL, no or weak correlation was observed in 77, 5% of studies (88% of patients). CONCLUSION: Type 2 symptoms are poorly correlated with inflammatory activity/type 1 symptoms in SLE. Possible explanations and implications for clinical care and therapeutic evaluation are discussed.