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- Currow, David C., et al.
(författare)
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Sleeping-related distress in a palliative care population : A national, prospective, consecutive cohort
- 2021
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Ingår i: Palliative Medicine. - : SAGE Publications. - 0269-2163 .- 1477-030X. ; 35:9, s. 1663-1670
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Tidskriftsartikel (refereegranskat)abstract
- Background: Sleep, a multi-dimensional experience, is essential for optimal physical and mental wellbeing. Poor sleep is associated with worse wellbeing but data are scarce from multi-site studies on sleeping-related distress in palliative care populations. Aim: To evaluate patient-reported distress related to sleep and explore key demographic and symptom distress related to pain, breathing or fatigue. Design: Australian national, consecutive cohort study with prospectively collected point-of-care data using symptoms from the Symptom Assessment Scale (SAS). Setting/Participants: People (n = 118,117; 475,298 phases of care) who died while being seen by specialist palliative care services (n = 152) 2013–2019. Settings: inpatient (direct care, consultative); community (outpatient clinics, home, residential aged care). Results: Moderate/severe levels of sleeping-related distress were reported in 11.9% of assessments, more frequently by males (12.7% vs 10.9% females); people aged <50 years (16.2% vs 11.5%); and people with cancer (12.3% vs 10.0% for other diagnoses). Sleeping-related distress peaked with mid-range Australia-modified Karnofsky Performance Status scores (40–60). Strong associations existed between pain-, breathing- and fatigue-related distress in people who identified moderate/severe sleeping-related distress, adjusted for age, sex and functional status. Those reporting moderate/severe sleeping-related distress were also more likely to experience severe pain-related distress (adjusted odds ratios [OR] 6.6; 95% confidence interval (CI) 6.3, 6.9); breathing-related distress (OR 6.2; 95% CI 5.8, 6.6); and fatigue-related distress (OR 10.4; 95% CI 9.99–10.8). Conclusions: This large, representative study of palliative care patients shows high prevalence of sleeping-related distress, with strong associations shown to distress from other symptoms including pain, breathlessness and fatigue.
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- Haas, Jan, et al.
(författare)
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Atlas of the clinical genetics of human dilated cardiomyopathy
- 2015
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 36:18, s. 1123-U43
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Tidskriftsartikel (refereegranskat)abstract
- Aim: We were able to show that targeted Next-Generation Sequencing is well suited to be applied in clinical routine diagnostics, substantiating the ongoing paradigm shift from low- to high-throughput genomics in medicine. By means of our atlas of the genetics of human DCM, we aspire to soon be able to apply our findings to the individual patient with cardiomyopathy in daily clinical practice. Numerous genes are known to cause dilated cardiomyopathy (DCM). However, until now technological limitations have hindered elucidation of the contribution of all clinically relevant disease genes to DCM phenotypes in larger cohorts. We now utilized next-generation sequencing to overcome these limitations and screened all DCM disease genes in a large cohort. Methods and results: In this multi-centre, multi-national study, we have enrolled 639 patients with sporadic or familial DCM. To all samples, we applied a standardized protocol for ultra-high coverage next-generation sequencing of 84 genes, leading to 99.1% coverage of the target region with at least 50-fold and a mean read depth of 2415. In this well characterized cohort, we find the highest number of known cardiomyopathy mutations in plakophilin-2, myosin-binding protein C-3, and desmoplakin. When we include yet unknown but predicted disease variants, we find titin, plakophilin-2, myosin-binding protein-C 3, desmoplakin, ryanodine receptor 2, desmocollin-2, desmoglein-2, and SCN5A variants among the most commonly mutated genes. The overlap between DCM, hypertrophic cardiomyopathy (HCM), and channelopathy causing mutations is considerably high. Of note, we find that >38% of patients have compound or combined mutations and 12.8% have three or even more mutations. When comparing patients recruited in the eight participating European countries we find remarkably little differences in mutation frequencies and affected genes. Conclusion: This is to our knowledge, the first study that comprehensively investigated the genetics of DCM in a large-scale cohort and across a broad gene panel of the known DCM genes. Our results underline the high analytical quality and feasibility of Next-Generation Sequencing in clinical genetic diagnostics and provide a sound database of the genetic causes of DCM.
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