Predictors Of Relapse Research Articles

Hepatitis C Virus Antiviral Drug Resistance and Salvage Therapy Outcomes Across Australia.

Hepatitis C virus (HCV) infection can now be cured with well-tolerated direct-acting antiviral (DAA) therapy. However, a potential barrier to HCV elimination is the emergence of resistance-associated substitutions (RASs) that reduce the efficacy of antiviral drugs, but real-world studies assessing the clinical impact of RASs are limited. Here, an analysis of the impact of RASs on retreatment outcomes for different salvage regimens in patients nationally who failed first-line DAA therapy is reported. We collected data from 363 Australian patients who failed first-line DAA therapy, including: age, sex, fibrosis stage, HCV genotype, NS3/NS5A/NS5B RASs, details of failed first-line regimen, subsequent salvage regimens, and treatment outcome. Of 240 patients who were initially retreated as per protocol, 210 (87.5%) achieved sustained virologic response (SVR) and 30 (12.5%) relapsed or did not respond. The SVR rate for salvage regimens that included sofosbuvir/velpatasvir/voxilaprevir was 94.3% (n = 140), sofosbuvir/velpatasvir 75.0% (n = 52), elbasvir/grazoprevir 81.6% (n = 38), and glecaprevir/pibrentasvir 84.6% (n = 13). NS5A RASs were present in 71.0% (n = 210) of patients who achieved SVR and in 66.7% (n = 30) of patients who subsequently relapsed. NS3 RASs were detected in 20 patients (20%) in the SVR group and 1 patient in the relapse group. NS5B RASs were observed in only 3 patients. Cirrhosis was a predictor of relapse after retreatment, as was previous treatment with sofosbuvir/velpatasvir. In our cohort, the SVR rate for sofosbuvir/velpatasvir/voxilaprevir was higher than with other salvage regimens. The presence of NS5A, NS5B, or NS3 RASs did not appear to negatively influence retreatment outcomes.

Predicting alcohol relapse post-detoxification: The role of cognitive impairments in alcohol use disorder patients.

Studies on early abstinence suggest that cognitive function is significantly reduced in the first year of abstinence, which raises the question of whether it is relevant to early relapse in patients with substance use disorders. This study investigates the extent to which impairments in executive function and memory predict alcohol relapse in patients with alcohol use disorder (AUD). Understanding these relationships is crucial for improving therapeutic approaches to prevent relapse in patients with AUD. We selected 116 adult patients (79 male and 37 female) diagnosed with AUD based on DSM-5 criteria, all of whom were undergoing alcohol detoxification treatment. A comprehensive array of neuropsychological tests was administered to assess global cognition, memory, and executive functions. Patients' alcohol use was monitored monthly during a 6-month follow-up period. Logistic regression and Cox regression were used to explore the relationship between cognitive function and the likelihood of alcohol relapse. Impairments in global cognition, semantic and phonemic fluency, cognitive flexibility, and learning ability during detoxification were significant predictors of relapse in AUD patients, showing similar predictive values at both 3 and 6 months post-treatment. An abnormal Montreal Cognitive Assessment (MoCA) score increased the risk of relapse by 123% (HR: 2.227), and impairments in both semantic and phonemic fluency each increased the risk by 142% (HR: 2.423). Additionally, abnormal performance on the MoCA, Trail Making Test Part B (TMT-B), and California Verbal Learning Test (CVLT) was associated with a higher number of drinking days at 3 months (IRR: 3.764; IRR: 2.237; IRR: 2.738, respectively) and abnormal MoCA and TMT-B scores at 6 months (IRR: 2.451; IRR: 1.859, respectively). The MoCA test is a valuable tool for predicting relapse risk in AUD patients undergoing detoxification treatment, with similar predictive value for relapse at 3 or 6 months. Learning ability needs to be assessed and their impairments considered in the treatment of AUD patients.Future research should explore strategies for managing patients with impairments in memory and learning ability to enhance treatment effectiveness and prevent relapse.

Prognostic factors for relapse in patients with clinical stage I testicular non-seminoma: A nationwide, population-based cohort study

BackgroundApproximately 30% of patients with clinical stage I non-seminoma (CSI-NS) relapse. Current risk stratification is based on lymphovascular invasion (LVI) alone. The extent to which additional tumor characteristics can improve risk prediction remains unclear. ObjectiveTo determine the most important prognostic factors for relapse in CSI-NS patients. Design, setting, and participantsPopulation-based cohort study including all patients with CSI-NS diagnosed in Denmark between 2013 and 2018 with follow-up until 2022. Patients were identified in the prospective Danish Testicular Cancer database. By linkage to the Danish National Pathology Registry, histological slides from the orchiectomy specimens were retrieved. Outcome measurements and statistical analysisHistological slides were reviewed blinded to the clinical outcome. Clinical data were obtained from medical records. The association between prespecified potential prognostic factors and relapse was assessed using Cox regression analysis. Model performance was evaluated by discrimination (Harrell’s C-index) and calibration. ResultsOf 453 patients included, 139 patients (30.6%) relapsed during a median follow-up of 6.3 years. Tumor invasion into the hilar soft tissue of the testicular hilum, tumor size, LVI and embryonal carcinoma were independent predictors of relapse. The estimated 5-year risk of relapse ranged from < 5% to > 85%, depending on the number of risk factors. After internal model validation, the model had an overall concordance statistic of 0.75. Model calibration was excellent. Conclusion and relevanceThe identified prognostic factors provide a much more accurate risk stratification than current clinical practice, potentially aiding clinical decision-making.

Predictors for seizure relapse in children with epilepsy after antiepileptic drug withdrawal: case-control study

Background Epilepsy is defined as a neurologic condition caused by a pathological brain condition. Epilepsy patients who have stopped treatment and are seizure-free for two years are considered to have achieved complete remission. Relapse occurs when seizures return after anti-epileptic drug (AED) withdrawal. Several studies reported that frequent seizures, prolonged duration to control seizures, number of AEDs consumed, and abnormal electroencephalography (EEG) found during AEDs tapered, were reported as predictors of relapse. Methods This retrospective, case-control study was carried out from 2012 – 2016 using multisite medical record evaluation, followed by interviews and EEG examinations. The case group included children with epilepsy who had seizure relapse, while the control group included children with complete remission of epilepsy. Bivariate and multivariate analyses were performed to identify predictors of relapse. Results Relapse predictors in bivariate analysis were symptomatic etiology epilepsy (OR 5.000; 95%CI 2.345 to 10.660; P&lt;0.001), time to seizure control ?1 year (OR 3.689; 95%CI 1.493 to 9.116; P=0.003), and worsened EEG evolution at pre-withdrawal compared to EEG at the time of diagnosis (OR 2.310; 95%CI 1.132 to 4.717; P=0.021). Statistically significant relapse predictors in multivariate analysis were symptomatic etiology epilepsy (OR 4.384; 95%CI 1.985 to 9.681; P&lt;0.001) and slow (?1 year) time to seizure control (OR 4.355; 95%CI 1.753 to 10.817; P 0.002). Conclusion Symptomatic etiology epilepsy and time to seizure control ?1 year are independent predictive factors for seizure relapse in children with epilepsy. Therefore, children with these conditions require a longer period and careful, gradual dose reduction before antiepileptic drugs withdrawal.

Personalized circulating tumor DNA monitoring improves recurrence surveillance and management after curative resection of colorectal liver metastases: a prospective cohort study.

Approximately 60% of patients with colorectal liver metastases (CRLM) experience relapse within 2 years after radical resection, previous studies have proven that repeat local treatment (LT) could prolong survival, however, it is difficult to seize the window for LT due to the lack of a high-sensitive surveillance method. In this study, the authors aim to examine the value of longitudinal circulating tumor DNA (ctDNA) in guiding adjuvant chemotherapy, optimizing clinical surveillance strategy, and thereby improving CRLM outcomes. The authors conducted a prospective clinical trial using a personalized, tumor-informed ctDNA assay to monitor 60 CRLM patients undergoing resection with curative intent. Formalin-fixed paraffin-embedded tumor samples were collected after surgery. Blood samples were collected before surgery, 30 days after surgery (post-OP), and every third month until relapse or up to 2 years. A total of 394 plasma samples from 60 eligible patients were analyzed, with a median follow-up time of 31.3 months. Landmark analyses revealed that detectable ctDNA at post-OP (HR, 4.8), postadjuvant chemotherapy (HR, 6.0), and end-of-treatment (HR, 5.6) were associated with higher recurrence risk ( P <0.001). Post-OP ctDNA positivity served as the only independent prognostic marker in the multivariant analysis (HR, 5.1; P <0.001). Longitudinal ctDNA analysis identified relapsed patients at both sensitivity and specificity of 100%. Most (75%) patients were found with radiological relapse within 6 months after the first detectable ctDNA with a median lead time of 3.5 months. In relapsed patients, 73.2% had oligometastatic disease and 61% were liver-restricted, of which 72.0% received repeat LTs, and 60.0% achieved a secondary no evidence of disease status. Longitudinal ctDNA monitoring assists in early prediction of relapse, and thereby improves survival of CRLM patients by increased secondary resection rate and secondary no evidence of disease rate.

Associations of physical activity and sedentary time with craving and mental health in individuals with alcohol use disorder

Alcohol use disorder (AUD) treatment has high rates of relapse. Relapse likelihood is predicted by poor mental health and high alcohol craving. Moderate to vigorous physical activity (MVPA) and sedentary time (SED) may be modifiable risk factors of these relapse predictors. The purpose of this study was to examine relationships between MVPA and SED with mental health (depression, anxiety and stress) and craving (self-reported and cue-induced) in individuals with AUD.Cross-sectional data were collected from individuals upon entering AUD treatment (n = 670) in the US. Participants reported demographics, depression (Center for Epidemiologic Studies Depression Scale), anxiety (Penn State Worry Questionnaire), stress (Perceived Stress Scale-10), MVPA and SED (International Physical Activity Questionnaire-SF). Multiple linear regressions were conducted with MVPA and SED predicting depression, anxiety, and stress, with trend analyses, covarying for demographics and level of care.As SED decreases and MVPA increases, depression (−6.7 points, p < 0.0001), anxiety (−3.5 points, p = 0.02), and stress scores (−3.1 points, p < 0.001) are reduced. Neither MVPA nor SED were significant predictors of self-reported craving nor cue-induced craving.High SED and, especially, low MVPA may be behavioral risk factors associated with poor mental health during treatment admission in AUD. Improving engagement with these activity-related behaviors during treatment may have the potential to lead to lower relapse rates.

Deep learning model to predict lupus nephritis renal flare based on dynamic multivariable time-series data

ObjectivesTo develop an interpretable deep learning model of lupus nephritis (LN) relapse prediction based on dynamic multivariable time-series data.DesignA single-centre, retrospective cohort study in China.SettingA Chinese central tertiary hospital.ParticipantsThe cohort...

The Importance of Social Support for Individuals on Specialized Probation: A Gender Comparison of Relapse and Revocation

Informed by social support theory, this study examined gender differences of revocation and relapse of 526 probationers diagnosed with a substance use disorder, mental health disorder, or co-occurring disorder who were court-ordered for treatment. Within 18 months of starting probation, 51% of men and 56% of women were revoked. Although not statistically significant, the relapse rate was 34% for women and 26% for men. Significant predictors of revocation were similar across gender with a lack of family support being the strongest predictor for both groups, though notably stronger for women. Family support was a significant predictor of relapse for women but not for men. Inpatient treatment of at least 180 days had the greatest effect in reducing relapse and revocation for women. Treatment dosage of at least 90 days had modest effects in reducing men’s revocation, but the treatment effect was less pronounced for men’s relapse rates.

Utility of Next-Generation Sequencing-Based Chimerism Analysis for Early Relapse Prediction following Allogenic Hematopoietic Cell Transplantation.

Chimerism monitoring following allogeneic hematopoietic cell transplantation (HCT) plays a pivotal role in evaluating engraftment status and identifying early indicators of relapse. Recent advancements in next-generation sequencing (NGS) technology have introduced AlloSeq HCT as a more sensitive alternative to short tandem repeat (STR) analysis. This study aimed to compare AlloSeq HCT with STR, focusing on the prediction of early relapse post-allogeneic HCT. Chimerism levels in 29 HCT recipients were assessed using both STR and NGS, employing a total of 125 whole blood or bone marrow aspirate samples (68 post-HCT and 57 pre-HCT samples from recipients or donors). AlloSeq HCT exhibited high concordance with STR and demonstrated the potential for early detection of chimeric changes, particularly at extremely low levels. The combined advantages of high sensitivity and automated data analysis offered by AlloSeq HCT substantiate its clinical adoption for effective chimerism monitoring.

Predicting central nervous system relapse in primary breast diffuse large B-cell lymphoma using the stage-modified IPI score: A retrospective cohort study

ObjectiveThe existing Central Nervous System-International Prognostic Index (CNS-IPI) provides insufficient guidance for predicting central nervous system (CNS) relapse in individuals with primary breast diffuse large B-cell lymphoma (DLBCL). This retrospective cohort study sought to examine the potential of the stage-modified IPI in predicting CNS relapse within this specific patient population. Patients and methodsWe examined the baseline characteristics of 76 consecutive patients diagnosed with primary breast DLBCL, calculating the stage-modified IPI score for each individual. Utilizing a competing risk regression (CRR) model, we conducted both univariate and multivariate analyses to explore the relationship between potential prognostic factors and the occurrence of CNS relapse. ResultsIn our cohort, the rates of CNS disease at 2 and 5 years since the diagnosis of primary breast DLBCL are 3.9% and 7.8%, respectively. Among patients experiencing CNS relapse, 80% presented with a parenchymal brain mass. Individuals with a high stage-modified IPI score (1–3 points) had a significantly higher incidence of CNS relapse (p = 0.031), a shorter time from the initial diagnosis of primary breast DLBCL to the first CNS relapse (p = 0.010), as well as relapse at any site (p = 0.012), compared to those with a low score (0 points). Univariate analysis identified stage (Hazard Ratio (HR): 4.098, p = 0.024), stage-modified IPI score (HR: 11.582, p = 0.012), and radiation therapy (HR: 5.784, p = 0.026) as significant risk factors. In multivariate analysis, in addition to radiation therapy (HR: 7.258, p = 0.012), the stage-modified IPI score (1–3 points versus 0 points) emerged as an independent and reliable predictor for CNS relapse (HR: 12.945, p = 0.016). ConclusionOur study underscores the significance of stage-modified IPI scores in predicting CNS relapse for patients with primary breast DLBCL. Validation of these findings through further research is essential, along with exploring potential prevention and intervention approaches.

Свободно циркулирующая ДНК в плазме у пациентов с диффузной В-крупноклеточной лимфомой и В-клеточной лимфомой высокой степени злокачественности (‘double hit’/’triple hit’)

Aim. To study plasma cell-free DNA (pcfDNA) concentration and B-cell clonality in patients with diffuse large B-cell (DLBCL) and B-cell high-grade lymphomas prior to and at different stages of chemotherapy as well as the correlation between the data obtained and clinical and laboratory parameters.&#x0D; Materials &amp; Methods. The study enrolled 23 DLBCL patients and 7 healthy donors (HD). Plasma was prepared from whole blood by centrifugation, pcfDNA was isolated with the commercial kit Qiagen (Germany). The concentration of pcfDNA was determined using fluorometer Qubit (USA). В-cell clonality was estimated by immunoglobulin gene analysis (BIOMED-2 protocol) in the tumor tissue and bone marrow core biopsy specimens obtained on diagnosis date as well as in the pcfDNA at 5 end points: prior to chemotherapy and after cycles 1, 2, 3, and 4.&#x0D; Results. Prior to therapy, all DLBCL patients showed significantly higher pcfDNA concentration than HD. Immunochemotherapy cycle 1 resulted in considerable increase in pcfDNA concentration. After cycle 2 and subsequent cycles, pcfDNA concentration gradually decreased. After cycle 4, the mean pcfDNA concentration was comparable with that of HD. In 95 % of patients В-cell clonality in pcfDNA corresponded to that identified in the tumor specimen. After immunochemotherapy cycle 1, В-cell clonality was detected in 50 % of patients, after cycle 2 it was shown by 15 %. Only 1 female patient retained В-cell clonality after therapy cycles 3 and 4. In HD, no В-cell clonality in pcfDNA was identified. Prior to therapy, the analysis revealed no correlation of either pcfDNA concentration or В-cell clonality in pcfDNA with age, sex, tumor spread, presence or absence of extranodal lesions, proliferation index Ki-67, and lactate dehydrogenase concentration.&#x0D; Conclusion. In patients with malignant hematological tumors, pcfDNA seems to be an interesting, easily accessible biological material deserving further investigation. Any studies of pcfDNA require long-term dynamical analysis and standardized methods of collection, storage and processing of the data obtained. In the long run, with more and more information, pcfDNA can become an important diagnostic marker of tumor heterogeneity and a reliable relapse predictor.

Development and Validation of a Prediction Model of Outcome After B-Cell Maturation Antigen-Directed Chimeric Antigen Receptor T-Cell Therapy in Relapsed/Refractory Multiple Myeloma.

Although chimeric antigen receptor T therapy (CAR-T) cells are an established therapy for relapsed/refractory multiple myeloma (RRMM), there are no established models predicting outcome to identify patients who may benefit the most from CAR-T. This is an international retrospective observational study including patients with RRMM infused with currently available commercial or academically produced anti-B-cell maturation antigen (BCMA) CAR-T. We describe characteristics and outcomes in Europe (n = 136) and the United States (n = 133). Independent predictors of relapse/progression built a simple prediction model (Myeloma CAR-T Relapse [MyCARe] model) in the training cohort (Europe), which was externally validated (US cohort) and tested within patient- and treatment-specific subgroups. The overall response rate was 87% and comparable between both cohorts, and complete responses were seen in 48% (Europe) and 49% (the United States). The median time to relapse was 5 months, and early relapse <5 months from infusion showed poor survival across cohorts, with the 12-month overall survival of 30% (Europe) and 14% (the United States). The presence of extramedullary disease or plasma cell leukemia, lenalidomide-refractoriness, high-risk cytogenetics, and increased ferritin at the time of lymphodepletion were independent predictors of early relapse or progression. Each factor received one point, forming the three-tiered MyCARe model: scores 0-1 (low risk), scores 2-3 (intermediate risk), and a score of 4 (high risk). The MyCARe model was significantly associated with distinct 5-month incidence of relapse/progression (P < .001): 7% for low-risk, 27% for intermediate-risk, and 53% for high-risk groups. The model was validated in the US cohort and maintained prognostic utility for response, survival, and outcomes across subgroups. Outcomes of patients with RRMM after CAR-T are comparable between Europe and the United States. The MyCARe model may facilitate optimal timing of CAR-T cells in patient-specific subgroups.

Can serum immunoglobulin G4 levels and age serve as reliable predictors of relapse in autoimmune pancreatitis?

We are writing in response to the paper published in the World Journal of Gastroenterology by Zhou et al. The authors identified higher serum immunoglobulin (Ig) G4 levels and age over 55 years as independent risk factors for disease relapse. Despite notable strengths, it is crucial to address potential biases. Firstly, the cohort study included 189 patients with autoimmune pancreatitis (AIP) type 1 (with higher IgG4 seropositivity and higher relapse) and 24 with type 2 (with lower IgG4 seropositivity and lower relapse). Consequently, most, if not all, AIP type 2 patients were assigned to the normal group, possibly inflating the association of higher serum IgG4 levels with relapse and potentially exaggerating the association of older age with relapse. Secondly, the authors did not provide sufficient details regarding AIP diagnosis, such as the ratio of definitive vs probable cases and the proportion of biopsies. In cases where histological evidence is unavailable or indeterminate, AIP type 2 may be misdiagnosed as definitive type 1, and type 1 may also be misdiagnosed as probable type 2, particularly in cases with normal or mildly elevated serum IgG4 levels. Lastly, in this retrospective study, approximately one-third of the consecutive patients initially collected were excluded for various reasons. Accordingly, the impact of non-random exclusion on relapse outcomes should be carefully considered. In conclusion, the paper by Zhou et al offers plausible, though not entirely compelling, evidence suggesting a predictive role of elevated serum IgG4 levels and advanced age in AIP relapse. The foundation for future investigations lies in ensuring a reliable diagnosis and accurate disease subtyping, heavily dependent on obtaining histological specimens. In this regard, endoscopic ultrasound-guided fine-needle biopsy emerges as a pivotal component of the diagnostic process, contributing to mitigating biases in future explorations of the disease.

Graft-versus-host disease and impact on relapse in myelofibrosis undergoing hematopoietic stem cell transplantation

Allogeneic hematopoietic stem cell transplantation (alloHSCT) remains the only curative treatment for myelofibrosis (MF). Relapse occurs in 10–30% and remains a major factor for dismal outcomes. Previous work suggested that graft-versus-host disease (GVHD) might be associated with risk of relapse. This study included 341 patients undergoing their first (n = 308) or second (n = 33) alloHSCT. Anti-T-lymphocyte or antithymocyte globulin was used for GVHD prophylaxis in almost all patients. Median time to neutrophile and platelet engraftment was 13 days and 19 days, respectively. The cumulative incidence of acute GVHD grade II-IV was 41% (median, 31 days; range, 7–112). Grade III-IV acute GVHD was observed in 22%. The cumulative incidence of chronic GVHD was 61%. Liver was affected in 23% of acute GVHD cases and 46% of chronic GVHD cases. Severe acute GVHD was associated with high non-relapse mortality. The development of acute GVHD grade II and moderate GVHD was an independent factor for reduced risk for relapse after transplantation without increased risk for non-relapse mortality, while especially acute GVHD grade IV was associated with high non-relapse mortality. Last, we identified that ongoing response to ruxolitinib, accelerated-phase MF at time of transplantation and splenectomy prior to transplantation were independent predictors for relapse.

Prediction of Non-Muscle Invasive Papillary Urothelial Carcinoma Relapse from Hematoxylin-Eosin Images Using Deep Multiple Instance Learning in Patients Treated with Bacille Calmette-Guérin Immunotherapy.

The limited reproducibility of the grading of non-muscle invasive papillary urothelial carcinoma (NMIPUC) necessitates the search for more robust image-based predictive factors. In a cohort of 157 NMIPUC patients treated with Bacille Calmette-Guérin (BCG) immunotherapy, we explored the multiple instance learning (MIL)-based classification approach for the prediction of 2-year and 5-year relapse-free survival and the multiple instance survival learning (MISL) framework for survival regression. We used features extracted from image patches sampled from whole slide images of hematoxylin-eosin-stained transurethral resection (TUR) NPMIPUC specimens and tested several patch sampling and feature extraction network variations to optimize the model performance. We selected the model showing the best patient survival stratification for further testing in the context of clinical and pathological variables. MISL with the multiresolution patch sampling technique achieved the best patient risk stratification (concordance index = 0.574, p = 0.010), followed by a 2-year MIL classification. The best-selected model revealed an independent prognostic value in the context of other clinical and pathologic variables (tumor stage, grade, and presence of tumor on the repeated TUR) with statistically significant patient risk stratification. Our findings suggest that MISL-based predictions can improve NMIPUC patient risk stratification, while validation studies are needed to test the generalizability of our models.

Clinical Profile and Predictors of Relapse in Patients with Alopecia Areata: A Follow-Up Study.

Clinical Profile and Predictors of Relapse in Patients with Alopecia Areata: A Follow-Up Study.

Clinical picture, outcomes, and predictors of relapse in eosinophilia-associated coronary vasospasm: Data from a European multicentric study

Clinical picture, outcomes, and predictors of relapse in eosinophilia-associated coronary vasospasm: Data from a European multicentric study

Predicting response to and relapse after treatment of trichotillomania with the Comprehensive Behavioral model (ComB).

Prior studies of behavior therapy for trichotillomania (TTM) have shown that response is variable, and relapse after treatment discontinuation is common. Little information is available concerning prognostic factors capable of predicting individual differences in response or maintenance of improvement. The present study is a secondary analysis of a randomized controlled trial (N = 36) of the Comprehensive Behavioral (ComB) model of treatment for TTM (Carlson et al., 2021). We investigated age, disorder history, pre-treatment symptom severity, longest prior period of abstinence from pulling, and Emotion and Intention hair pulling styles as predictors of initial response. We studied age, disorder history, pre-treatment symptom severity, longest prior period of abstinence from pulling, and post-treatment symptom severity or hair-pulling abstinence as predictors of relapse following treatment. Older age significantly predicted lower TTM severity following treatment. Lower pre-treatment severity significantly predicted lower severity of TTM at the 3-month follow-up.

Glucocorticoid discontinuation rate and risk factors for relapses in a contemporary cohort of patients with giant cell arteritis

The rates of relapses and therapy discontinuation in patients with giant cell arteritis (GCA) in the modern therapeutic era have not been defined. We aimed to evaluate the glucocorticoid (GC) discontinuation rate and the factors associated with relapses in a contemporary GCA cohort. Patient and treatment data were collected cross-sectionally at first evaluation and 2 years later (second evaluation), in a multicenter, prospective GCA cohort. Predictors of relapses were identified by logistic regression analyses. 243 patients with GCA were initially included (67% women, mean age at diagnosis: 72.1 years, median disease duration: 2 years) while 2 years later complete data for 160 patients were available and analyzed. All patients had received GCs at diagnosis (mean daily prednisolone dose: 40 mg) while during follow-up, 37% received non-biologic and 16% biologic agents, respectively. At second evaluation, 72% of patients were still on therapy (GCs: 58% and/or GC-sparing agents: 29%). Relapses occurred in 27% of patients during follow-up; by multivariable logistic regression analysis, large vessel involvement at diagnosis [odds ratio (OR) = 4.22], a cardiovascular event during follow-up (OR = 4.60) and a higher initial GC daily dose (OR = 1.04), were associated with these relapses. In this large, real-life, contemporary GCA cohort, the rates of GC discontinuation and relapses were 40% and 27%, respectively. Large vessel involvement, a higher GC dose at diagnosis and new cardiovascular events during follow-up were associated with relapses.

Twenty-Seven Cases of Marjolins Ulcer; An Institutional Experience on Diagnosis, Treatment and Outcomes

Purpose: Marjolins ulcer is a malignant transformation that arises from chronic ulcers or previously traumatized scar that occur usually after burns. To study the clinicopathological characteristics and treatment outcomes of Marjolins ulcer at our institute. Materials and methods: Retrospective analysis of all Marjolins ulcer patients presented to our department from 2018 to 2021 was done. A total of 27 patients of all age groups were included in the study. All the information regarding the diagnosis, treatment and outcome details were collected and analysed.Results: Most of the patients were in the 5th decade of life with an overall male preponderance. The most common cause for Marjolin ulcer was Burns Scar. The mean latency period for the development of Marjolins ulcer was 11 years. Squamous cell carcinoma was the most common histological subtype. 18.5% patients received Adjuvant radiotherapy. At the median follow up of 14 months, one patient presented with locoregional relapse.Conclusion: Chronic non-ulcers that do not respond to treatment should be carefully examined by multidisciplinary team for malignant transformation. Surgery is the mainstay of treatment and Adjuvant Radiotherapy should be considered in high-risk cases to reduce locoregional recurrence. Tumour size and nodal involvement are the main predictors of locoregional relapse.