Mediamusic (E-Journal)
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Epidemiology and outcome of rib fractures:a nationwide study in the Netherlands
No full textPurpose Rib fractures following thoracic trauma are frequently encountered injuries and associated with a significant morbidity and mortality. The aim of this study was to provide current data on the epidemiology, in-hospital outcomes and 30-day mortality of rib fractures, and to evaluate these results for different subgroups. Methods A nationwide retrospective cohort study was performed with the use of the Dutch Trauma Registry which covers 99% of the acutely admitted Dutch trauma population. All patients aged 18 years and older admitted to the hospital between January 2015 and December 2017 with one or more rib fractures were included. Incidence rates were calculated using demographic data from the Dutch Population Register. Subgroup analyses were performed for flail chest, polytrauma, primary thoracic trauma, and elderly patients. Results A total of 14,850 patients were admitted between 2015 and 2017 with one or more rib fractures, which was 6.0% of all trauma patients. Of these, 573 (3.9%) patients had a flail chest, 4438 (29.9%) were polytrauma patients, 9273 (63.4%) were patients with primary thoracic trauma, and 6663 (44.9%) were elderly patients. The incidence rate of patients with rib fractures for the entire cohort was 29 per 100.000 person-years. The overall 30-day mortality was 6.9% (n = 1208) with higher rates observed in flail chest (11.9%), polytrauma (14.8%), and elderly patients (11.7%). The median hospital length of stay was 6 days (IQR, 3-11) and 37.3% were admitted to the intensive care unit (ICU). Conclusions Rib fractures are a relevant and frequently occurring problem among the trauma population. Subgroup analyses showed that there is a substantial heterogeneity among patients with rib fractures with considerable differences regarding the epidemiology, in-hospital outcomes, and 30-day mortality.</p
Nurses' perceptions in caring for people with dementia in Dutch acute hospitals
No full textAims and objectives Overall, this study aimed to describe nursing care for patients with dementia in acute hospitals, with the objectives of describing the provided nursing care (a), nurses' attitudes and perceptions in caring for patients with dementia (b), and exploring how nurses deal with challenging behaviour (c). Additionally, we determined background variables associated with caring for people with dementia. Background Due to comorbidities, people with dementia are frequently admitted to acute care hospitals. Here, they are at high risk of complications. Nurses strive for good care but regularly experience insufficient knowledge and skills regarding caring for people with dementia. Design A cross-sectional survey study design. Methods Data were collected in seven Dutch acute hospitals and through social media. In total, 229 hospital nurses completed the questionnaire. We used the Geriatric In-Hospital Nursing Care Questionnaire and two subscales of Hynninen on managing challenging behaviour. This report followed the STROBE checklist. Results Nurses express that they often apply general preventive interventions not explicitly related to dementia care. In general, nurses have mixed feelings about the nursing care provided in their department. For challenging behaviour, a variety of approaches, including restrictive measures and medication, is applied. The nurses' attitudes and perceptions are influenced by the type of hospital where the nurses work, the level of education, the number of hours nurses work, and if the nurses completed a course on dementia in the last year. Conclusions Despite a positive attitude, nurses do not have the specific knowledge and skills needed to provide proper care. Nurses who recently completed a course on dementia had more positive attitudes and perceptions towards caring for patients with dementia. Relevance to clinical practice The results of this research can be used to improve the quality of nursing care for patients with dementia in acute hospitals.</p
Familial risk for depressive and anxiety disorders:associations with genetic, clinical, and psychosocial vulnerabilities
No full textBACKGROUND: In research and clinical practice, familial risk for depression and anxiety is often constructed as a simple Yes/No dichotomous family history (FH) indicator. However, this measure may not fully capture the liability to these conditions. This study investigated whether a continuous familial loading score (FLS), incorporating family- and disorder-specific characteristics (e.g. family size, prevalence of depression/anxiety), (i) is associated with a polygenic risk score (PRS) for major depression and with clinical/psychosocial vulnerabilities and (ii) still captures variation in clinical/psychosocial vulnerabilities after information on FH has been taken into account.METHODS: Data came from 1425 participants with lifetime depression and/or anxiety from the Netherlands Study of Depression and Anxiety. The Family Tree Inventory was used to determine FLS/FH indicators for depression and/or anxiety.RESULTS: Persons with higher FLS had higher PRS for major depression, more severe depression and anxiety symptoms, higher disease burden, younger age of onset, and more neuroticism, rumination, and childhood trauma. Among these variables, FH was not associated with PRS, severity of symptoms, and neuroticism. After regression out the effect of FH from the FLS, the resulting residualized measure of FLS was still associated with severity of symptoms of depression and anxiety, rumination, and childhood trauma.CONCLUSIONS: Familial risk for depression and anxiety deserves clinical attention due to its associated genetic vulnerability and more unfavorable disease profile, and seems to be better captured by a continuous score that incorporates family- and disorder-specific characteristics than by a dichotomous FH measure.</p
Connected but Still Excluded? Digital Exclusion beyond Internet Access
No full textDigital government has digitized numerous public services, automated decision-making, and improved the openness of the public administration. Nevertheless, for senior citizens, undeserved communities, individuals with low literacy and limited digital skills, the shift to governmental portals, online payments, and smartphone applications are considerable obstacles in their daily interactions with public authorities. This chapter argues that digital inequality denies vulnerable citizens their rights twice: first, their ethnicity and socioeconomic status may be conducive to a ‘negative’ ranking or score (e.g., higher risk of welfare fraud); and second, they are also excluded because they do not have adequate access to technology, are not well informed, and do not have the time and skills required to interact with digital government. This chapter explores one of the paradoxes of the digital society: connected citizens in developed countries are also affected by the digital divide and are increasingly being excluded by the generalized digitalization of public services. Drawing on a review of interdisciplinary literature, this chapter contributes to the legal literature with an account of the underlying causes of digital exclusion and a discussion of its most relevant legal implications through the lenses of fundamental rights (e.g., due process, equal treatment) and the principles of good administration. This chapter reflects on potential solutions for more inclusive digital government policies
Lean leadership:Towards continuous improvement capability in healthcare
No full textThis research focuses on the role of leadership styles during Lean Management (LM) initiatives in healthcare environments. Specifically, this study examined the role of leadership styles in the development of Continuous Improvement (CI) capability of teams. The empirical evidence was collected by applying a multiple-case design, and consisted of interviews, observations, and documentation. These data sources were used to develop case studies, and to identify leadership behaviours supportive of LM. Through qualitative case analysis, the influence of leadership styles on CI capability was determined. The results show that a hybrid leadership style is associated with higher levels of CI capability, and that the duration of a LM program in itself does not dictate maturity. A mix of both transactional and transformational leadership styles seems a necessary condition for teams to reach higher levels of CI capability. Based on these findings, this paper provides a framework to structure thinking on LM and leadership styles, and concludes with supporting propositions. The current outcomes imply that leaders should be sensitive towards their adopted leadership style, and should adopt a leadership style that combines both transformational as well as transactional elements, when leading LM teams
The menage a trois of autophagy, lipid droplets and liver disease
No full textAutophagic pathways cross with lipid homeostasis and thus provide energy and essential building blocks that are indispensable for liver functions. Energy deficiencies are compensated by breaking down lipid droplets (LDs), intracellular organelles that store neutral lipids, in part by a selective type of autophagy, referred to as lipophagy. The process of lipophagy does not appear to be properly regulated in fatty liver diseases (FLDs), an important risk factor for the development of hepatocellular carcinomas (HCC). Here we provide an overview on our current knowledge of the biogenesis and functions of LDs, and the mechanisms underlying their lysosomal turnover by autophagic processes. This review also focuses on nonalcoholic steatohepatitis (NASH), a specific type of FLD characterized by steatosis, chronic inflammation and cell death. Particular attention is paid to the role of macroautophagy and macrolipophagy in relation to the parenchymal and non-parenchymal cells of the liver in NASH, as this disease has been associated with inappropriate lipophagy in various cell types of the liver.Abbreviations: ACAT: acetyl-CoA acetyltransferase; ACAC/ACC: acetyl-CoA carboxylase; AKT: AKT serine/threonine kinase; ATG: autophagy related; AUP1: AUP1 lipid droplet regulating VLDL assembly factor; BECN1/Vps30/Atg6: beclin 1; BSCL2/seipin: BSCL2 lipid droplet biogenesis associated, seipin; CMA: chaperone-mediated autophagy; CREB1/CREB: cAMP responsive element binding protein 1; CXCR3: C-X-C motif chemokine receptor 3; DAGs: diacylglycerols; DAMPs: danger/damage-associated molecular patterns; DEN: diethylnitrosamine; DGAT: diacylglycerol O-acyltransferase; DNL: de novo lipogenesis; EHBP1/NACSIN (EH domain binding protein 1); EHD2/PAST2: EH domain containing 2; CoA: coenzyme A; CCL/chemokines: chemokine ligands; CCl4: carbon tetrachloride; ER: endoplasmic reticulum; ESCRT: endosomal sorting complexes required for transport; FA: fatty acid; FFAs: free fatty acids; FFC: high saturated fats, fructose and cholesterol; FGF21: fibroblast growth factor 21; FITM/FIT: fat storage inducing transmembrane protein; FLD: fatty liver diseases; FOXO: forkhead box O; GABARAP: GABA type A receptor-associated protein; GPAT: glycerol-3-phosphate acyltransferase; HCC: hepatocellular carcinoma; HDAC6: histone deacetylase 6; HECT: homologous to E6-AP C-terminus; HFCD: high fat, choline deficient; HFD: high-fat diet; HSCs: hepatic stellate cells; HSPA8/HSC70: heat shock protein family A (Hsp70) member 8; ITCH/AIP4: itchy E3 ubiquitin protein ligase; KCs: Kupffer cells; LAMP2A: lysosomal associated membrane protein 2A; LDs: lipid droplets; LDL: low density lipoprotein; LEP/OB: leptin; LEPR/OBR: leptin receptor; LIPA/LAL: lipase A, lysosomal acid type; LIPE/HSL: lipase E, hormone sensitive type; LIR: LC3-interacting region; LPS: lipopolysaccharide; LSECs: liver sinusoidal endothelial cells; MAGs: monoacylglycerols; MAPK: mitogen-activated protein kinase; MAP3K5/ASK1: mitogen-activated protein kinase kinase kinase 5; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MCD: methionine-choline deficient; MGLL/MGL: monoglyceride lipase; MLXIPL/ChREBP: MLX interacting protein like; MTORC1: mechanistic target of rapamycin kinase complex 1; NAFLD: nonalcoholic fatty liver disease; NAS: NAFLD activity score; NASH: nonalcoholic steatohepatitis; NPC: NPC intracellular cholesterol transporter; NR1H3/LXRα: nuclear receptor subfamily 1 group H member 3; NR1H4/FXR: nuclear receptor subfamily 1 group H member 4; PDGF: platelet derived growth factor; PIK3C3/VPS34: phosphatidylinositol 3-kinase catalytic subunit type 3; PLIN: perilipin; PNPLA: patatin like phospholipase domain containing; PNPLA2/ATGL: patatin like phospholipase domain containing 2; PNPLA3/adiponutrin: patatin like phospholipase domain containing 3; PPAR: peroxisome proliferator activated receptor; PPARA/PPARα: peroxisome proliferator activated receptor alpha; PPARD/PPARδ: peroxisome proliferator activated receptor delta; PPARG/PPARγ: peroxisome proliferator activated receptor gamma; PPARGC1A/PGC1α: PPARG coactivator 1 alpha; PRKAA/AMPK: protein kinase AMP-activated catalytic subunit; PtdIns3K: class III phosphatidylinositol 3-kinase; PtdIns3P: phosphatidylinositol-3-phosphate; PTEN: phosphatase and tensin homolog; ROS: reactive oxygen species; SE: sterol esters; SIRT1: sirtuin 1; SPART/SPG20: spartin; SQSTM1/p62: sequestosome 1; SREBF1/SREBP1c: sterol regulatory element binding transcription factor 1; TAGs: triacylglycerols; TFE3: transcription factor binding to IGHM enhancer 3; TFEB: transcription factor EB; TGFB1/TGFβ: transforming growth factor beta 1; Ub: ubiquitin; UBE2G2/UBC7: ubiquitin conjugating enzyme E2 G2; ULK1/Atg1: unc-51 like autophagy activating kinase 1; USF1: upstream transcription factor 1; VLDL: very-low density lipoprotein; VPS: vacuolar protein sorting; WIPI: WD-repeat domain, phosphoinositide interacting; WDR: WD repeat domain.</p
Predictors of renal flares and long-term renal outcome in patients with lupus nephritis:results from daily clinical practice
No full textOBJECTIVES: To describe renal outcomes of the lupus nephritis (LN) population of the University Medical Centre Groningen (UMCG) in the Netherlands and to identify predictors for renal flares and long-term renal outcome in daily clinical practice.METHODS: A retrospective analysis of biopsy-proven LN patients with induction and maintenance treatment in the UMCG between 1982 and 2016 was performed. Data were collected at time of diagnosis, after 6 months and every year up to 10 years after diagnosis. Outcome measures were renal relapse (biopsy proven), progression to chronic kidney disease (CKD) stage 3 or 4 and chronic renal replacement therapy. The ability of serum creatinine, proteinuria, creatinine clearance, serum anti-double stranded DNA (anti-dsDNA) antibodies, serum complement 3 (C3) and serum complement 4 (C4), as well as biographic data and histopathological class to predict long-term renal outcome was assessed.RESULTS: Seventy-one patients were included, with median follow-up of 120 months (IQR 48-120 months). During follow-up - up to 10 years - twenty-one (30%) patients experienced at least one relapse. Eleven (15%) patients had CKD stage 3 or 4, of whom eight showed persistent CKD since baseline and two (3%) patients required chronic renal replacement therapy. At baseline, low levels of serum C3 were a significant predictor of renal relapse. Low levels of C3 and C4 at 6 and 12 and proteinuria and high levels of anti-dsDNA at 12 months were significant predictors of renal relapse. At baseline, 6 months and 12 months serum creatinine and creatinine clearance were significant predictors for persistent or newly developed CKD 3 or 4, and need for chronic renal replacement therapy.CONCLUSIONS: Almost one-third of LN patients experience at least one renal relapse during long-term follow up, but only 3% need chronic renal replacement therapy. Our data suggests that early serological remission is associated with a low risk of renal relapse. Decreased renal function at onset and the first year after diagnosis is predictive for decreased renal function at a later stage.</p
What really matters? Factors impacting international student satisfaction:The case of the UK
No full textThis study explores how international student satisfaction is affected by certain aspects of the learning and living experience, including university reputation, size and proportion of international students, as well as student gender and stage of study. It draws on data from undergraduate international students enrolled in full time, on-site programs at 32 universities located in the UK that administered the International Student Barometer (ISB) in Fall 2017 (N = 11,652). Multi-level linear regression revealed that international student satisfaction was predicted by stage of study, the reputation of the university and the proportion of international students enrolled. Comments from the survey are used to better understand these findings. This study gives institutional leaders insight into what factors influence the international student experience, allowing them to better prepare for the challenges confronting international higher education today.</p
Trajectories of fatigue in cancer patients during psychological care
No full textOBJECTIVE: Psycho-oncological institutions offer specialized care for cancer patients. Little is known how this care might impact fatigue. This study aimed to identify fatigue trajectories during psychological care, examined factors distinguishing these trajectories and predicted fatigue severity after nine months of psychological care.DESIGN: Naturalistic, longitudinal study of 238 cancer patients receiving psycho-oncological care in the Netherlands. Data were collected before initiation of psychological care (T1) and three (T2) and nine months (T3) afterwards. Latent class growth analysis, repeated measure analyses (RMA) and linear regression analysis were performed.MAIN OUTCOME MEASURES: Fatigue severity: Checklist Individual Strength.RESULTS: Three fatigue trajectories were identified: high- (30%), moderate- (62%) and low-level fatigue (8%). While statistically significant decreases in fatigue were found, this decrease was not clinically relevant. RMA showed main effects for time for fatigue trajectories on depression, anxiety, personal control and illness cognitions. Fatigue severity and physical symptoms at T1, but not demographic or clinical factors, were predictive of fatigue severity at T3.CONCLUSIONS: Fatigue is very common during psycho-oncological care, and notably not clinically improving. As symptoms of fatigue, depression, anxiety and physical symptoms often cluster, supplementary fatigue treatment should be considered when it is decided to treat other symptoms first.</p