17 research outputs found

    Azathioprine Maintenance Therapy to Prevent Relapses in Autoimmune Pancreatitis

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    Steroids are used to induce remission in autoimmune pancreatitis (AIP). Low-dosage steroid therapy or immunosuppressant (IMs) has been proposed as maintenance therapy to prevent AIP relapse. Few and conflicting data have been published on the efficacy of azathioprine (AZA) in preventing AIP relapse. The aim of this study was to evaluate the indication and efficacy of AZA as maintenance therapy to prevent disease relapse in AIP

    Chronic pancreatitis and nutritional support

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    : Malnutrition in patients with chronic pancreatitis is common, but its evaluation is often missed in clinical practice. Pancreatic exocrine insufficiency is the single most important cause of malnutrition; therefore, it needs to be screened for and treated appropriately. Specific diet regimens in patients suffering from chronic pancreatitis are rarely reported in the literature. Patients suffering from chronic pancreatitis have a higher demand for energy but a lower caloric intake secondary to pancreatic exocrine insufficiency, combined with the malabsorption of liposoluble vitamin and micronutrients, which needs be corrected by appropriate dietary counselling. Diabetes is frequently observed in chronic pancreatitis and classified as type 3c, which is characterized by low levels of both serum insulin and glucagon; therefore, there is a tendency towards hypoglycaemia in patients treated with insulin. Diabetes contributes to malnutrition in chronic pancreatitis. Strategies to treat exocrine and endocrine insufficiency are important to achieve better control of the disease

    Circulating IgG4+ Plasmablast Count as a Diagnostic Tool in Autoimmune Pancreatitis

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    BACKGROUND & AIMS: Type 1 autoimmune pancreatitis (AIP) is an IgG4-related disease whose diagnosis is challenging. The aim of this study was to investigate the diagnostic value of circulating total and IgG4þ plasmablasts in differentiating this condition from the other main pancreatic diseases. METHODS: Patients with type 1 AIP (n ¼ 19) were prospectively enrolled in a tertiary center together with patients suffering from type 2 or not otherwise specified (NOS) AIP (n ¼ 10), pancreatic adenocarcinoma (n ¼ 17), chronic pancreatitis (n ¼ 20), and intraductal papillary mucinous neoplasia or chronic asymptomatic pancreatic hyperenzymemia (n ¼ 21) as control groups. Flow cytometry was used to measure the total plasmablast and IgG4þ plasmablast number by gating peripheral blood CD45þCD19þCD38hiCD20-CD24-CD27þ and CD45þCD19þCD38hiCD20-CD24-CD27þIgG4þ cells, respectively. In patients with AIP, these cell populations were also evaluated after 1 month of therapy, after 2–4 months from the end of treatment, and after 1 year from the enrollment. The study was approved by the local ethics committee (protocol number: 59133, 30/11/2017). RESULTS: Total plasmablast quantification was capable of discriminating type 1 AIP from all the other pancreatic disorders with a sensitivity of 47% and a specificity of 81%, according to a cutoff of 4500 cells/mL (AUC ¼ 0.738), whereas IgG4þ plasmablast count distinguished type 1 AIP from all the other pancreatic disorders with a sensitivity of 80% and a specificity of 97% when applying a cutoff of 210 IgG4þ cells/mL (AUC ¼ 0.879). The basal IgG4þ plasmablast number was significantly higher (P ¼ .0001) in type 1 AIP than in type 2/NOS AIP, decreased after steroid therapy, and increased at disease relapse. CONCLUSION: IgG4þ plasmablast count represents a potentially useful biomarker to differentiate type 1 from type 2/NOS AIP and from other pancreatic diseases

    Role of Amylase-\u3b12A Autoantibodies in the Diagnosis of Autoimmune Pancreatitis

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    Several serological markers have been reported in autoimmune pancreatitis (AIP) patients. However, only serum IgG4 (sIgG4) is available in clinical practice for AIP diagnosis. Antiamylase \u3b1 antibodies (AMY-\u3b1 Abs) have been proposed to diagnose AIP. This study evaluates the utility of AMY-\u3b1 Abs and sIgG4 for AIP diagnosis

    Ablation Difficulty Score: Proposal of a new tool to predict success rate of percutaneous ablation for hepatocarcinoma

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    Purpose: Identify the factors related to failure ablation after percutaneous ultrasound guided single electrode radiofrequency ablation (RFA) for hepatocarcinoma (HCC) and propose a score for improving patient selection and treatment allocation. Methods: From 2010 to 2020 585 HCC nodules treated with RFA were prospectively collected. Ablation Difficulty Score (ADS) was built-up according to clinical and radiological factors related to failure ablation identified by Cox-logistic regression analysis. The study population was stratified in low risk (ADS 0), intermediate risk (ADS 1), and high risk (ADS ≥ 2) of failure ablation. Results: Overall ablation success rate was 85.5%. Morbidity and mortality rates were 3.5% and 0.0%. According to per nodule analysis the following factors resulted related to failure ablation: size > 20 mm (p = 0.002), sub-capsular location (p = 0.008), perivascular location (p = 0.024), isoechoic appearance (p = 0.008), and non-cirrhotic liver (p = 0.009). The ablation success rate was 93.5% in ADS 0, 85.8% in ADS 1 and 71.3% in ADS ≥ 2 (p < 0.001). The 1-year local tumor progression (LTP) free survival was 90.2% in ADS 0, 80.6% in ADS 1, and 72.3% in ADS ≥ 2 (p = 0.009). Nodule's size > 20 mm (p = 0.014), isoechoic appearance (p = 0.012), perivascular location (p = 0.012) resulted related to lower LTP free survival. Conclusion: Ablation Difficulty Score could be a simple and useful tool for guiding the treatment decision making of HCC. RFA in high risk nodules (ADS ≥ 2) should be carefully evaluated and reserved for patients not suitable for surgery or liver transplantation

    Personal resources and depression in schizophrenia: The role of self-esteem, resilience and internalized stigma

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    Depression in schizophrenia represents a challenge from a diagnostic, psychopathological and therapeutic perspective. The objective of this study is to test the hypothesis that resilience and self-stigma affect depression severity and to evaluate the strength of their relations in 921 patients with schizophrenia. A structural equation model was tested where depression is hypothesized as affected by resilience, internalized stigma, gender and negative symptoms, with the latter two variables used as exogenous covariates and the former two as mediators. The analysis reveals that low resilience, high negative symptoms, female gender were directly associated with depression severity, and internalized stigma acted only as a mediator between avolition and resilience, with similar magnitude. The cross-sectional study design and the variable selection limit the generalizability of the study results. The model supports a complex interaction between personal resources and negative symptoms in predicting depression in schizophrenia. The clinical implication of these findings is that personal resources could be a significant target of psychosocial treatments

    Familial aggregation of MATRICS Consensus Cognitive Battery scores in a large sample of outpatients with schizophrenia and their unaffected relatives

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    Background: The increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relativeâ\u80\u93control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS). We examined familial aggregation of cognitive impairment by investigating within-family prediction of MCCB scores based on probandsâ\u80\u99 scores. Methods: Multivariate analysis of variance was used to analyze group differences in adjusted MCCB scores. Weighted least-squares analysis was used to investigate whether probandsâ\u80\u99 MCCB scores predicted REL neurocognitive performance. Results: SCZ were significantly impaired on all MCCB domains. REL had intermediate scores between SCZ and HCS, showing a similar pattern of impairment, except for social cognition. Proband's scores significantly predicted REL MCCB scores on all domains except for visual learning. Conclusions: In a large sample of stable patients with schizophrenia, living in the community, and in their unaffected relatives, MCCB demonstrated sensitivity to cognitive deficits in both groups. Our findings of significant within-family prediction of MCCB scores might reflect disease-related genetic or environmental factors
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