Background and objectives Survival, symptom burden, and quality of life (QOL) are uncertain for elderly patients with advanced CKD managed without dialysis. We examined these outcomes in patients managed with renal supportive care without dialysis (RSC-NFD) and those planned for or commencing dialysis.Design, setting, participants, & measurements In this prospective observational study, symptoms were measured using the Memorial Symptom Assessment Scale and the Palliative care Outcomes Scale -Symptoms (renal) inventory and QOL was measured using the Short Form-36 survey. This study comprised 273 predialysis patients who had usual nephrology care and 122 nondialysis pathway patients who also attended a renal supportive care clinic adding the skills of a palliative medicine team. A further 72 patients commenced dialysis during this period without attending either clinic.Results Nondialysis patients were older than the predialysis group (82 versus 67 years; P,0.001) but had similar eGFR at the first clinic visit (16 ml/min per 1.73 m 2 ; P=0.92). Of the predialysis patients, 92 (34%) commenced dialysis. Compared with the RSC-NFD group, the death rate was lower in the predialysis group who did not require dialysis (hazard ratio, 0.23; 95% confidence interval, 0.12 to 0.41] and in those requiring dialysis (0.30; 0.13 to 0.67) but not in dialysis patients who had not attended the predialysis clinic (0.60; 0.35 to 1.03). Median survival in RSC-NFD patients was 16 (interquartile range, 9, 37) months and 32% survived .12 months after eGFR fell below 10 ml/min per 1.73 m 2 . For the whole group, age, serum albumin, and eGFR ,15 ml/min per 1.73 m 2 were associated with poorer survival. Of the nondialysis patients, 57% had stable or improved symptoms over 12 months and 58% had stable or improved QOL.Conclusions Elderly patients who choose not to have dialysis as part of shared decision making survive a median of 16 months and about one-third survive 12 months past a time when dialysis might have otherwise been indicated. Utilizing the skills of palliative medicine helps provide reasonable symptom control and QOL without dialysis.

Objective We aimed to translate and evaluate a model of mental health liaison nursing (MHLN) care that was embedded within EDs. Methods The 12 month mixed‐methods translational research study incorporated descriptive data on ED presentations, waiting times for MHLN intervention, time spent in ED and discharge arrangements across three EDs in New South Wales. The study involved an inner‐city ED (where the model was first established) and two rural sites. Surveys were conducted on a subset of ED patients (n = 58), and emergency and psychiatry staff (n = 52). Results Triage category 3 presentations accounted for 49% of the MHLN team workload. Response times and ED length of stay varied between city and rural sites, with rural sites demonstrating prompt response times and reduced ED length of stay. The model was strongly endorsed by patients and staff, with 95% of staff and 85% of patients across the three sites recommending the model be implemented in other emergency settings. The need for adequate resources to maintain designated levels of staffing and sustain this model of care was highlighted. Conclusion Findings from the present study indicate that a model of ED‐based MHLN care developed in a metropolitan setting was successfully translated to two rural sites. However, the model needs to adhere to certain key principles, and be adequately resourced in order to be sustainable and improve outcomes for ED patients and access to community care.

Malnutrition is prevalent in patients with head and neck cancer (HNC), impacting outcomes. Despite publication of nutrition care evidence-based guidelines (EBGs), evidence–practice gaps exist. This study aimed to implement and evaluate the integration of a patient-centred, best-practice dietetic model of care into an HNC multidisciplinary team (MDT) to minimise the detrimental sequelae of malnutrition. A mixed-methods, pre–post study design was used to deliver key interventions underpinned by evidence-based implementation strategies to address identified barriers and facilitators to change at individual, team and system levels. A data audit of medical records established baseline adherence to EBGs and clinical parameters prior to implementation in a prospective cohort. Key interventions included a weekly Supportive Care-Led Pre-Treatment Clinic and a Nutrition Care Dashboard highlighting nutrition outcome data integrated into MDT meetings. Focus groups provided team-level evaluation of the new model of care. Economic analysis determined system-level impact. The baseline clinical audit (n = 98) revealed barriers including reactive nutrition care, lack of familiarity with EBGs or awareness of intensive nutrition care needs as well as infrastructure and dietetic resource limitations. Post-implementation data (n = 34) demonstrated improved process and clinical outcomes: pre-treatment dietitian assessment; use of a validated nutrition assessment tool before, during and after treatment. Patients receiving the new model of care were significantly more likely to complete prescribed radiotherapy and systemic therapy. Differences in mean percentage weight change were clinically relevant. At the system level, the new model of care avoided 3.92 unplanned admissions and related costs of $AUD121K per annum. Focus groups confirmed clear support at the multidisciplinary team level for continuing the new model of care. Implementing an evidence-based nutrition model of care in patients with HNC is feasible and can improve outcomes. Benefits of this model of care may be transferrable to other patient groups within cancer settings.

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Emerging evidence demonstrates a link between preterm birth (PTB) and later life cardiovascular disease (CVD). We conducted a systematic review and meta-analysis to compare conventional CVD risk factors between those born preterm and at term. PubMed, CINAHL, SCOPUS, and EMBASE databases were searched. The review protocol is registered in PROSPERO (CRD42018095005). CVD risk factors including systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index, lipid profile, blood glucose, and fasting insulin among those born preterm (<37 weeks’ gestation) were compared with those born at term (≥37 weeks’ gestation). Subgroup analyses based on gender, age, gestational at birth (<32 weeks’ gestation and <28 weeks’ gestation), and PTB associated with small for gestational age or average for gestational age were also performed. Fifty-six studies provided data on 308,987 individuals. Being born preterm was associated with 3.26 mmHg (95% confidence interval [CI] 2.08 to 4.44) higher mean SBP and 1.32 mmHg (95% CI: 0.61 to 2.04) higher mean DBP compared to being born at term. Subgroup analyses demonstrated that SBP was higher among (a) preterm compared to term groups from early adolescence until adulthood; (b) females born preterm but not among males born preterm compared to term controls; and (c) those born at <32 weeks or <28 weeks compared to term. Our meta-analyses demonstrate higher SBP and DBP among those born preterm compared to term. The difference in SBP is evident from early adolescence until adulthood.