Characteristics and Management of IgA Vasculitis (Henoch-Schonlein) in Adults Data From 260 Patients Included in a French Multicenter Retrospective Survey

International audienceMethods: Data on clinical characteristics, histologic features, and treatment response from 260 patients with IgAV included in a French multicenter retrospective survey were analyzed. Efficacy data were compared using different statistical models.Results: The mean ± SD age of the patients with IgAV at diagnosis was 50.1 ± 18 years, and 63% of patients were male. Baseline manifestations included purpura (100%), arthralgias/arthritis/myalgia (61%), glomerulonephritis (70%), and/or gastrointestinal involvement (53%). Thirty percent of patients showed renal failure at baseline. In univariate analysis, the response to therapy was 80% (64 of 80) in patients treated with corticosteroids (CS) alone, compared to 77% (23 of 30) in patients treated with CS plus cyclophosphamide (CYC) and 59% (10 of 17) in patients treated with colchicine (P = 0.17). Multivariable analysis showed that treatment with CS or CS plus CYC was more effective than colchicine in achieving a response. Efficacy differences were demonstrated using different statistical models: in the multivariable logistic regression model, odds ratio (OR) 3.68, 95% confidence interval (95% CI) 1.10–12.33 (P = 0.03); in the inverse probability weighting on propensity score model, OR 3.75, 95% CI 1.28–10.99 (P = 0.02). The efficacy of CS plus CYC as compared to CS alone was discordant according to the analytic method used. Analysis with the multivariable logistic regression model did not demonstrate a difference between CS plus CYC and CS alone (OR 0.88, 95% CI 0.29–2.67; P = 0.82). In contrast, inverse probability weighting on propensity score showed that CS plus CYC was more effective than CS alone (OR 1.79, 95% CI 1.00–3.20; P = 0.049).Conclusion: This series constitutes the largest series of adults with IgAV reported in the literature so far. It provides data on clinical and histologic presentation and therapeutic efficacy, suggesting that CS alone appears to be a reasonable first‐line therapy in patients with IgAV, while the benefit of adding CYC to CS remains uncertain

Antituberculosis drug resistance patterns in adults with tuberculous meningitis: results of haydarpasa-iv study

Background: Tuberculous meningitis (TBM) caused by Mycobacterium tuberculosis resistant to antituberculosis drugs is an increasingly common clinical problem. This study aimed to evaluate drug resistance profiles of TBM isolates in adult patients in nine European countries involving 32 centers to provide insight into the empiric treatment of TBM

The diagnostic utility of the "Thwaites' system" and "lancet consensus scoring system" in tuberculous vs. non-tuberculous subacute and chronic meningitis: multicenter analysis of 395 adult patients

Background Tuberculous meningitis (TBM) represents a diagnostic and management challenge to clinicians. The "Thwaites' system" and "Lancet consensus scoring system" are utilized to differentiate TBM from bacterial meningitis but their utility in subacute and chronic meningitis where TBM is an important consideration is unknown. Methods A multicenter retrospective study of adults with subacute and chronic meningitis, defined by symptoms greater than 5 days and less than 30 days for subacute meningitis (SAM) and greater than 30 days for chronic meningitis (CM). The "Thwaites' system" and "Lancet consensus scoring system" scores and the diagnostic accuracy by sensitivity, specificity, and area under the curve of receiver operating curve (AUC-ROC) were calculated. The "Thwaites' system" and "Lancet consensus scoring system" suggest a high probability of TBM with scores = 12, respectively. Results A total of 395 patients were identified; 313 (79.2%) had subacute and 82 (20.8%) with chronic meningitis. Patients with chronic meningitis were more likely caused by tuberculosis and had higher rates of HIV infection (P < 0.001). A total of 162 patients with TBM and 233 patients with non-TBM had unknown (140, 60.1%), fungal (41, 17.6%), viral (29, 12.4%), miscellaneous (16, 6.7%), and bacterial (7, 3.0%) etiologies. TMB patients were older and presented with lower Glasgow coma scores, lower CSF glucose and higher CSF protein (P < 0.001). Both criteria were able to distinguish TBM from bacterial meningitis; only the Lancet score was able to differentiate TBM from fungal, viral, and unknown etiologies even though significant overlap occurred between the etiologies (P < .001). Both criteria showed poor diagnostic accuracy to distinguish TBM from non-TBM etiologies (AUC-ROC was <. 5), but Lancet consensus scoring system was fair in diagnosing TBM (AUC-ROC was .738), sensitivity of 50%, and specificity of 89.3%. Conclusion Both criteria can be helpful in distinguishing TBM from bacterial meningitis, but only the Lancet consensus scoring system can help differentiate TBM from meningitis caused by fungal, viral and unknown etiologies even though significant overlap occurs and the overall diagnostic accuracy of both criteria were either poor or fair

Tuberculous and brucellosis meningitis differential diagnosis

Background: The Thwaites and Lancet scoring systems have been used in the rapid diagnosis of tuberculous meningitis (TBM). However, brucellar meningoencephalitis (BME) has similar characteristics with TBM. The ultimate aim of this study is to infer data to see if BME should be included in the differential diagnosis of TBM when these two systems suggest the presence of TBM

Antituberculosis drug resistance patterns in adults with tuberculous meningitis: results of haydarpasa-iv study

Background: Tuberculous meningitis (TBM) caused by Mycobacterium tuberculosis resistant to antituberculosis drugs is an increasingly common clinical problem. This study aimed to evaluate drug resistance profiles of TBM isolates in adult patients in nine European countries involving 32 centers to provide insight into the empiric treatment of TBM. Methods: Mycobacterium tuberculosis was cultured from the cerebrospinal fluid (CSF) of 142 patients and was tested for susceptibility to first-line antituberculosis drugs, streptomycin (SM), isoniazid (INH), rifampicin (RIF) and ethambutol (EMB). Results: Twenty of 142 isolates (14.1 %) were resistant to at least one antituberculosis drug, and five (3.5 %) were resistant to at least INH and RIF, [multidrug resistant (MDR)]. The resistance rate was 12, 4.9, 4.2 and 3.5 % for INH, SM, EMB and RIF, respectively. The monoresistance rate was 6.3, 1.4 and 0.7 % for INH, SM and EMB respectively. There was no monoresistance to RIF. The mortality rate was 23.8 % in fully susceptible cases while it was 33.3 % for those exhibiting monoresistance to INH, and 40 % in cases with MDR-TBM. In compared to patients without resistance to any firstline drug, the relative risk of death for INH-monoresistance and MDR-TBM was 1.60 (95 % CI, 0.38-6.82) and 2.14 (95 % CI, 0: 34-13: 42), respectively. Conclusion: INH-resistance and MDR rates seemed not to be worrisome in our study. However, considering their adverse effects on treatment, rapid detection of resistance to at least INH and RIF would be most beneficial for designing anti-TB therapy. Still, empiric TBM treatment should be started immediately without waiting the drug susceptibility testing

Hamsi scoring in the prediction of unfavorable outcomes from tuberculous meningitis:results of Haydarpasa-II study

WOS: 000353295400011PubMed ID: 25634680Predicting unfavorable outcome is of paramount importance in clinical decision making. Accordingly, we designed this multinational study, which provided the largest case series of tuberculous meningitis (TBM). 43 centers from 14 countries (Albania, Croatia, Denmark, Egypt, France, Hungary, Iraq, Italy, Macedonia, Romania, Serbia, Slovenia, Syria, Turkey) submitted data of microbiologically confirmed TBM patients hospitalized between 2000 and 2012. Unfavorable outcome was defined as survival with significant sequela or death. In developing our index, binary logistic regression models were constructed via 200 replicates of database by bootstrap resampling methodology. The final model was built according to the selection frequencies of variables. The severity scale included variables with arbitrary scores proportional to predictive powers of terms in the final model. The final model was internally validated by bootstrap resampling. A total of 507 patients' data were submitted among which 165 had unfavorable outcome. Eighty-six patients died while 119 had different neurological sequelae in 79 (16 %) patients. The full model included 13 variables. Age, nausea, vomiting, altered consciousness, hydrocephalus, vasculitis, immunosuppression, diabetes mellitus and neurological deficit remained in the final model. Scores 1-3 were assigned to the variables in the severity scale, which included scores of 1-6. The distribution of mortality for the scores 1-6 was 3.4, 8.2, 20.6, 31, 30 and 40.1 %, respectively. Altered consciousness, diabetes mellitus, immunosuppression, neurological deficits, hydrocephalus, and vasculitis predicted the unfavorable outcome in the scoring and the cumulative score provided a linear estimation of prognosis