219 research outputs found

    Expressed emotion and wellbeing in South Asian heritage families living in the UK

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    The primary aim of this paper was to understand expressed emotion (EE) and its relationship to wellbeing in South Asians (SAs) living in the UK. A total of 529 participants of South Asian heritage were recruited from the UK and completed an online survey consisting of the family questionnaire, the level of expressed emotion scale (LEE), warmth measure, the hospital anxiety and depression scale. Components of EE and wellbeing were investigated using network analysis. Overall, the participants were classified as low EE for criticism, but high for emotional overinvolvement. They scored relatively high on the warmth scale. LEE scores were in the middle range. The network analysis revealed unique associations between EE subscales and symptoms of depression and anxiety, and highlighted positive aspects of EE. The network analysis also highlighted differences in EE between parents and partner. The findings provide an overview of the interactions and influence of EE variables within this population. Future research should focus on the differences between SA ethnicities and religions; differentiating between intrusive and non-intrusive involvement may help further explain part of the variance between variables; exploring first and second-generation immigrants would help discover the impact of acculturation and intergenerational trauma on EE

    Enhanced expression of immune checkpoint receptors during SARS-CoV-2 viral infection

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    The immune system is tightly regulated by the activity of stimulatory and inhibitory immune receptors. This immune homeostasis is usually disturbed during chronic viral infection. Using publicly available transcriptomic datasets, we conducted in silico analyses to evaluate the expression pattern of 38 selected immune inhibitory receptors (IRs) associated with different myeloid and lymphoid immune cells during coronavirus disease 2019 (COVID-19) infection. Our analyses revealed a pattern of overall upregulation of IR mRNA during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. A large number of IRs expressed on both lymphoid and myeloid cells were upregulated in nasopharyngeal swabs (NPSs), while lymphoid-associated IRs were specifically upregulated in autopsies, reflecting severe, terminal stage COVID-19 disease. Eight genes (BTLA, LAG3, FCGR2B, PDCD1, CEACAM1, CTLA4, CD72, and SIGLEC7), shared by NPSs and autopsies, were more expressed in autopsies and were directly correlated with viral levels. Single-cell data from blood and bronchoalveolar samples also reflected the observed association between IR upregulation and disease severity. Moreover, compared to SARS-CoV-1, influenza, and respiratory syncytial virus infections, the number and intensities of upregulated IRs were higher in SARS-CoV-2 infections. In conclusion, the immunopathology and severity of COVID-19 could be attributed to dysregulation of different immune inhibitors. Targeting one or more of these immune inhibitors could represent an effective therapeutic approach for the treatment of COVID-19 early and late immune dysregulations

    Psychometric Evaluation of a Persian Version of the Cardiac Depression Scale in Iranian Patients with Acute Myocardial Infarction

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    This is the author accepted manuscript. The final version is available from Springer Publishing Company via the DOI in this recordPurpose: The aim of this study was to validate a Persian version of the Cardiac Depression Scale (CDS) in Iranian patients with Acute Myocardial Infarction (AMI). This was a methodological study. Methods: A demographic survey and the CDS were used for data collection. The CDS was forward translated from English into Persian and back translated to English. Validity was assessed using face, content and construct validity. Results: The construct validity of the scale showed two factors with eigenvalues greater than one. The Cronbach’s alpha, Theta, McDonald, and construct reliability were greater than .70. Convergent and discriminant validity of the constructs were fulfilled. Conclusions: Given the importance of mental health in risk prevention in AMI patients, the Persian CDS is a useful screening tool for detection of depression in this patient cohort

    Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study.

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    Background: Acute illness, existing co-morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods: This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2-week blocks over a continuous 3-month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results: A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30-day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30-day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c-statistic 0·65). Discussion: Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability

    On the origin of glioma

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    Glioma is the most frequent primary brain tumor of adults that has a presumably glial origin. Although our knowledge regarding molecular mechanisms and signaling pathways involved in gliomagenesis has increased immensely during the past decade, high-grade glioma remains a lethal disease with dismal prognosis. The failure of current therapies has to a large extent been ascribed the functional heterogeneity of glioma cells. One reason for this heterogeneity is most certainly the large number of variations in genetic alterations that can be found in high-grade gliomas. Another factor that may influence glioma heterogeneity could be the cell type from which the glioma is initiated. The cell of origin for glioma is still undefined, and additional knowledge about this issue may prove critical for a more complete understanding of glioma biology. Based on information from patients, developmental biology, and experimental glioma models, the most putative target cells include astrocytes, neural stem cells, and oligodendrocyte precursor cells, which are all discussed in more detail in this article. Animal modeling of glioma suggests that these three cell types have the capability to be the origin of glioma, and we have reason to believe that, depending on the initiating cell type, prognosis and response to therapy may be significantly different. Thus, it is essential to explore further the role of cellular origin in glioma
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