Predictors Of Disease Remission Research Articles

Hematological parameters as a predictor of disease remission in patients with rheumatoid arthritis

BackgroundAlterations in the hematological profile have been linked to disease activity in rheumatoid arthritis (RA). We aimed to evaluate the levels of hematological parameters in different phases of rheumatoid arthritis (RA) and determine whether hematological parameters could be used to predict RA remission. Materials and methodsThe medical records of 365 RA patients were reviewed. Multivariate logistic regression analysis was used to compare hematological parameters among RA patients who were categorized into 4 groups according to disease activity: disease remission or low, moderate or high disease activity. Receiver operating characteristic curves were used to determine the predictive performances of significant parameters for RA remission. ResultsComplete data were obtained from 325 patients. The 4 groups of patients had different levels of hemoglobin (Hb), red blood cell, white blood cell, and platelet values. In multivariate analysis, Hb level, neutrophil-to-lymphocyte ratio (NLR), and mean platelet volume (MPV) were independent factors associated with disease activity. The combination of these 3 parameters yielded a sensitivity of 95.2% (95% confidence interval [CI] 88.7–98.2), specificity of 23.6% (95% CI 18.3–29.9), positive predictive value of 37.3% (95% CI 31.6–43.4), and negative predictive value of 91.2% (95% CI 80.0–96.7) in predicting disease remission. ConclusionHb level, NLR and MPV were independently associated with RA disease activity. The high sensitivity and negative predictive value of the model consisting of Hb level, NLR and MPV may serve as a simple and inexpensive tool to identify patients who are less likely to have disease remission.

Modern view on treatment of membranous nephropathy

Membranous nephropathy (MN) is the most common cause of nephrotic syndrome in adults. Since the moment of animal model creation and the recognition of podocytes damage as a key mechanism of MN development, the identification of antigens, first of all the phospholipase A2 receptor (PLA2R), and the development of methods of PLA2R autoantibodies detection and its monitoring opened a new era in the idiopathic MN (iMN) diagnosis, treatment and prognosis evaluation. MN continues to be actively studied in the new millennium, since a number of aspects of its pathogenesis still need to be clarified, and there is still no clear opinion on the iMN treatment optimal approach. Comprehensive clinical and serological assessment of patients with iMN can be the key to individual choice of treatment protocols. In patients with aPLA2R-positive iMN, the predictor of disease remission is the aPLA2R titer decrease or aPLA2R disappearance in the blood serum, and disease relapse is associated with the aPLA2R appearance ore increase of aPLA2R titer in the circulation. Studies which were conducted by today (GEMRITUX, MENTOR, STARMEN, NICE, etc.) confirmed the acceptable safety profile and effectiveness of iMN therapy by anti-CD20 monoclonal antibodies (rituximab): more than half of of iMN patients had remission of nephrotic syndrome or proteinuria decrease, remissions in anti-CD20 monoclonal antibodies treated patients were longer compared to traditional therapy. The obtained data allows us to consider rituximab and anti-CD20 antibody therapy of a new generation not only as an alternative to the more toxic treatment with cyclophosphane and calcineurin inhibitors, but as an independent promising direction of therapy for patients with IMN, which completely changes the paradigm of treatment of this glomerulopathy.

Treatment-Specific Composition of the Gut Microbiota Is Associated With Disease Remission in a Pediatric Crohn's Disease Cohort.

The beneficial effects of antibiotics in Crohn's disease (CD) depend in part on the gut microbiota but are inadequately understood. We investigated the impact of metronidazole (MET) and metronidazole plus azithromycin (MET+AZ) on the microbiota in pediatric CD and the use of microbiota features as classifiers or predictors of disease remission. 16S rRNA-based microbiota profiling was performed on stool samples from 67 patients in a multinational, randomized, controlled, longitudinal, 12-week trial of MET vs MET+AZ in children with mild to moderate CD. Profiles were analyzed together with disease activity, and then used to construct random forest models to classify remission or predict treatment response. Both MET and MET+AZ significantly decreased diversity of the microbiota and caused large treatment-specific shifts in microbiota structure at week 4. Disease remission was associated with a treatment-specific microbiota configuration. Random forest models constructed from microbiota profiles before and during antibiotic treatment with metronidazole accurately classified disease remission in this treatment group (area under the curve [AUC], 0.879; 95% confidence interval, 0.683-0.9877; sensitivity, 0.7778; specificity, 1.000; P < 0.001). A random forest model trained on pre-antibiotic microbiota profiles predicted disease remission at week 4 with modest accuracy (AUC, 0.8; P = 0.24). MET and MET+AZ antibiotic regimens in pediatric CD lead to distinct gut microbiota structures at remission. It may be possible to classify and predict remission based in part on microbiota profiles, but larger cohorts will be needed to realize this goal.

Predictors of remission of hyperprolactinaemia after long‐term withdrawal of cabergoline therapy

Remission rates of 76, 69.5 and 64.3% have been reported in patients with nontumoural hyperprolactinaemia (NTH), microprolactinoma and macroprolactinoma, respectively, 2-5 years after cabergoline (CAB) withdrawal. To report the estimated recurrence rate at 24-96 months after CAB withdrawal and indicate predictors of disease remission. Observational, analytical, prospective. Of 381 previously untreated de novo patients with hyperprolactinaemia, 221 (58%) (173 women, 48 men; 27 with NTH, 115 with micro-, and 79 with macroprolactinoma) were studied. Using multiple regression analysis the diagnostic accuracy of nadir PRL levels (t = 7.6, P < 0.0001) and nadir maximal tumour diameter at CAB withdrawal (t = 3.9, P < 0.001) was analysed using receiver operating characteristic (ROC) curves. The recurrence of hyperprolactinaemia was 25.9, 33.9 and 53.1% in patients with NTH, micro- or macroprolactinoma, respectively. To predict the last PRL level after withdrawal, the optimum cut-off of nadir PRL levels at withdrawal was 162 mU/l (5.4 microg/l) [sensitivity (95% CI) 76% (67-84%), specificity 65% (51-77%)] and that of nadir maximal tumour diameter was 3.1 mm [sensitivity 52% (41-63%), specificity 86% (79-91%)]. The patients achieving both nadir PRL levels </= 162 mU/l and maximal tumour diameter </= 3.1 mm (n = 111) at CAB withdrawal had a significantly lower Kaplan-Meier estimate of recurrence of hyperprolactinaemia (20%) at 24-96 months than those who did not fulfil any of these criteria [(n = 38) 90%; P < 0.0001]. Patients achieving nadir PRL levels </= 162 mU/l (n = 26) or maximal tumour diameter </= 3.1 mm during CAB treatment (n = 46) had an estimated recurrence rate of hyperprolactinaemia of 50 and 56%, respectively. Persistent remission of hyperprolactinaemia without any evidence of tumour re-growth after 24-96 months of CAB withdrawal occurred in the majority of patients with NTH and microprolactinoma and in about half of those with macroprolactinoma. Nadir PRL levels and maximal tumour diameter at CAB withdrawal of </= 162 mU/l and </= 3.1 mm predicted remission of hyperprolactinaemia in 80% of patients.