scholarly journals Determinants of occupational outcome in recent-onset psychosis: The role of cognition

2019 ◽  
Vol 18 ◽  
pp. 100158
Author(s):  
William Pothier ◽  
Caroline Cellard ◽  
Marc Corbière ◽  
Patrizia Villotti ◽  
Amélie M. Achim ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Chaloupka ◽  
J Krejci ◽  
H Poloczkova ◽  
P Hude ◽  
E Ozabalova ◽  
...  

Abstract Background The aetiology of recent-onset dilated cardiomyopathy (RODCM) includes inflammatory, genetic, toxic and metabolic causes. Delineating the role of inflammation on the genetic background could improve risk stratification. Purpose We aimed to ascertain the role of inflammation evaluated by serum CRP immunohistochemical and PCR analysis of endomyocardial biopsy (EMB) in conjunction with genetic testing in left ventricular reverse remodelling (LVRR) in 12-month follow-up. Methods 83 RODCM patients enrolled in this prospective observational study underwent 12-month echocardiographic follow up whole-exome sequencing, and EMB. Presence of cardiotropic viruses was determined by PCR analysis of the EMB samples. Inflammation was defined according to TIMIC immunohistochemical criteria as the presence of >7 CD3+ lymphocytes/mm2 and/or >14 infiltrating leukocytes (LCA+ cells/mm2). LVRR was defined as an absolute increase in LV ejection fraction > +10% and a relative decrease of LV end-diastolic diameter >−10% at 12 months. Results LVRR occurred in 28 (34%) of all cases. PCR analysis uncovered cardiotropic viruses in 55 (66%) patients, with highest prevalence of parvovirus B19 (47%). (Figure 1) EMB analysis detected inflammation in 28 (34%) cases and inflammation significantly positively predicted LVRR (P=0.019). Sequencing identified disease-related gene variants (ACMG class 3–5) in 45 (54%) patients. Carriers of non-titin gene variants showed a lowest probability of 12-month LVRR (19%) P=0.041. Combination of genetic findings and inflammation did not improve the prediction of LVRR in 12 months. (Table 1) Conclusion Both myocardial inflammation and disease-causing variants can be identified in a large proportion of RODCM cases. Prognostic value of CRP and virus detection is low. Non-titin disease-related variants carriers of are less likely to reach LVRR. In contrast, myocardial inflammation detected by EMB predicts favourable remodelling in 12 months. Figure 1 Funding Acknowledgement Type of funding source: None


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
I Mueller ◽  
U Uwe Kuehl ◽  
T Thomas Vogl ◽  
A Alexander Krannich ◽  
S Sophie Van Linthout ◽  
...  

Abstract Background The alarmin S100A8/A9 has been shown to be of importance in several inflammatory cardiovascular disorders. We recently demonstrated the pivotal role of cardiac S100A8/A9 in human and experimental Coxsackievirus B3 (CVB3)-induced myocarditis (MC). Purpose We aimed to evaluate whether serum S100A8/A9 levels are a marker in patients with a recent onset of MC Methods Serum S100A8/A9, hsCRP, and NT pro-BNP levels were analyzed in patients with a recent onset of MC (≤30 days (d), n=29; ejection fraction (EF): 44.3%±13%), dilated cardiomyopathy patients with inflammation (DCMi: n=112; EF: 28.8%±12%) or without inflammation (DCM: n=58; EF: 26.7%±9%), and controls (co: n=25; EF: 68.5%±5%). Blood samples and endomyocardial biopsies (EMB) were collected at time point (T1). In a subgroup, S100A8/A9 serum levels and EMB were available at T1 (n=10) and follow-up (T2, n=10, mean follow-up 8 months). Results MC ≤30 d patients showed a 4.5-fold (p<0.0001), 19.3-fold (p<0.0001), and 4.0-fold (p<0.0001) increase in S100A8/A9, hsCRP, NT pro-BNP levels vs co, respectively. S100A8/A9 levels correlated with the disease activity, displayed by EMB counts of inflammatory cells (CD3: r=0.464, p=0.0128, XY pairs=28, LFA-1: r=0.551, p=0.002, XY pairs=28, Mac-1: r=0.418, p=0.026, XY pairs=28), and the EF (r=0.545, p=0.0027, XY pairs=28). MC ≤30 d patients showed an association between serum S100A8/A9 levels and EMB S100A8 (r=0.482, p=0.060, XY pairs=16), S100A9 (r=0.441, p=0.088, XY pairs=16), nucleotide-binding oligomerization domain containing-protein 2 (NOD2, r=0.55, p=0.035, XY=15), and Nod-like receptor family, pyrin domain-containing 3 protein (NLRP3, r=0.52, p=0.048, XY=15) mRNA levels. Also EMB S100A8 and S100A9 mRNA levels showed a significant correlation with EMB NOD2 and NLRP3 mRNA expression. Serum S100A8/A9 levels were increased by 3.0-fold (p<0.0001) and 1.8-fold (p=0.0005) in DCMi (n=112), and DCM (n=58) patients vs co, respectively. However, the S100A8/A9 levels of DCMi and DCM patients were 1.5-fold (p=0.07) and 2.5-fold (p<0.0001) lower vs MC ≤30 d patients. ROC analyses of S100A8/A9 in MC ≤30 d provided a cut-off of 583 ng/ml with a specificity=92%, sensitivity=86.2%, a PPV=92.6%, a NPV=85.2%, and an AUC=0.934 vs co, which was superior to hsCRP (cut-off=5 mg/l): specificity=95.8%, sensitivity=58.6%, a PPV=94.4%, a NPV=65.7%, AUC=0.885. In the subgroup, S100A8/A9 levels decreased after heart failure medication (T1: 2454±1931 ng/ml vs T2: 934.4±552 ng/ml; p=0.002), reflected by a decrease of EMB inflammatory cells. Baseline serum S100A8/A9 levels predicted the change in EMB CD3 and Mac-1. Conclusions These results support an additional value for S100A8/A9 serum levels as a potential diagnostic biomarker and as a tool to monitor the course of the disease. We provide first evidence that S100A8/A9 is connected to the NOD2-NLRP3 pathway in these patients. Acknowledgement/Funding Novartis


Cardiology ◽  
2007 ◽  
Vol 107 (4) ◽  
pp. 399-401 ◽  
Author(s):  
S. Sideris ◽  
M. Bonios ◽  
C. Melexopoulou ◽  
P. Exarchos ◽  
K. Tsatiris ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Elena Antelmi ◽  
Margherita Fabbri ◽  
Lucia Cretella ◽  
Maria Guarino ◽  
Andrea Stracciari

Objective.To describe a patient with a new onset bipolar disorder (BD) type II, secondary to a lacunar state.Background.Poststroke BD is rare and mainly associated with lesion in the prefrontal-striatal-thalamic circuit.Materials and Methods.A 51-year-old woman came to our attention for a mood disorder of recent onset. At 49, she had suffered acute left-sided limb weakness that improved spontaneously four days later. Arterial hypertension was subsequently diagnosed. After 6 months, she began to suffer from alternating brief periods of expansive and elevated mood with longer periods of depressed mood, with a suicide attempt. We performed extensive laboratory and instrumental investigations, as well as, psychiatric consultation, and a cognitive assessment, which was repeated 9 months later.Results.Brain magnetic resonance disclosed leukoaraiosis and a lacunar state of the basal ganglia. Transcranial Doppler showed a patent foramen ovale. A psychiatric consultation led to the diagnosis of BP type II. Neuropsychological evaluation detected deficits in attention/executive functions, verbal fluency, and memory. Nine months later, after specific psychiatric therapy, the psychiatric symptoms were remarkably improved.Conclusion.Our case sheds light on the role of the basal ganglia in mood disorders and the importance of ruling out brain injury in late onset BP.


2020 ◽  
Author(s):  
Mitushi Verma ◽  
Deepak Patkar ◽  
Madhura Ingalharikar ◽  
Amit Kharat ◽  
Pranav Ajmera ◽  
...  

AbstractCoronavirus disease (Covid 19) and Tuberculosis (TB) are two challenges the world is facing. TB is a pandemic which has challenged mankind for ages and Covid 19 is a recent onset fast spreading pandemic. We study these two conditions with focus on Artificial Intelligence (AI) based imaging, the role of digital chest x-ray and utility of end to end platform to improve turnaround times. Using artificial intelligence assisted technology for triage and creation of structured radiology reports using an end to end platform can ensure quick diagnosis. Changing dynamics of TB screening in the times of Covid 19 pandemic have resulted in bottlenecks for TB diagnosis. The paper tries to outline two types of use cases, one is COVID-19 screening in a hospital-based scenario and the other is TB screening project in mobile van setting and discusses the learning of these models which have both used AI for prescreening and generating structured radiology reports.


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