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Background Frailty is common among residential aged care services (RACS) residents; however, little is known about how frailty changes over time in this population. This study aimed to estimate minimally important difference (MID) in frailty to then describe: frailty change over 12 months; and factors associated with worsening frailty. Methods Prospective cohort study across 12 RACS sites of a single aged care organisation in South Australia (n  = 548 residents, mean age 87.7 ± 7.2 years, 72.6% female). Frailty was measured using a frailty index (FI) with 12 months between baseline and follow-up. MID was calculated cross-sectionally (anchor-based using self-reported health, and ½SD for distribution-based). Results Between-person MID for the FI was identified as 0.037 (anchor-based) and 0.063 (distribution-based). Using the conservative value of 0.063 as the basis for change, 32.3% (n  = 177) of residents remained stable, 13.7% (n  = 75) improved, 33.0% (n  = 181) worsened and 21.0% (n  = 115) died over 12 months. In a multivariable analysis, significant predictors of the dichotomous outcome of worsening and death at 12 months were: being malnourished (odds ratio (OR) = 2.15, 95% confidence interval (CI) = 1.23, 3.75), at risk of malnutrition (OR = 1.98, 95%CI = 1.34, 2.91) and diabetes (OR = 1.61, 95%CI = 1.06, 2.42) compared to those who remained stable or improved. Conclusions A 6.3% change in frailty for RACS residents is a conservative MID. Frailty is dynamic in RACS residents, and stability or improvement was possible even for the most-frail. Treatments such as nutritional interventions, exercise and diabetes management are likely to benefit frailty. [ABSTRACT FROM AUTHOR]

Abstract Background Extreme heatwaves occurred in Adelaide, South Australia, in the summers of 2008 and 2009. Both heatwaves were unique in terms of their duration (15 days and 13 days respectively), and the 2009 heatwave was also remarkable in its intensity with a maximum temperature reaching 45.7°C. It is of interest to compare the health impacts of these two unprecedented heatwaves with those of previous heatwaves in Adelaide. Methods Using case-series analysis, daily morbidity and mortality rates during heatwaves (≥35°C for three or more days) occurring in 2008 and 2009 and previous heatwaves occurring between 1993 and 2008 were compared with rates during all non-heatwave days (1 October to 31 March). Incidence rate ratios (IRRs) were established for ambulance call-outs, hospital admissions, emergency department presentations and mortality. Dose response effects of heatwave duration and intensity were examined. Results Ambulance call-outs during the extreme 2008 and 2009 events were increased by 10% and 16% respectively compared to 4.4% during previous heatwaves. Overall increases in hospital and emergency settings were marginal, except for emergency department presentations in 2008, but increases in specific health categories were observed. Renal morbidity in the elderly was increased during both heatwaves. During the 2009 heatwave, direct heat-related admissions increased up to 14-fold compared to a three-fold increase seen during the 2008 event and during previous heatwaves. In 2009, marked increases in ischaemic heart disease were seen in the 15-64 year age group. Only the 2009 heatwave was associated with considerable increases in total mortality that particularly affected the 15-64 year age group (1.37; 95% CI, 1.09, 1.71), while older age groups were unaffected. Significant dose-response relationships were observed for heatwave duration (ambulance, hospital and emergency setting) and intensity (ambulance and mortality). Conclusions While only incremental increases in morbidity and mortality above previous findings occurred in 2008, health impacts of the 2009 heatwave stand out. These findings send a signal that the intense and long 2009 heatwave may have exceeded the capacity of the population to cope. It is important that risk factors contributing to the adverse health outcomes are investigated to further improve preventive strategies.

Background frailty is a dynamic condition for which a range of interventions are available. Health state utilities are values that represent the strength of an individual's preference for specific health states, and are used in economic evaluation. This is a topic yet to be examined in detail for frailty. Likewise, little has been reported on minimally important difference (MID), the extent of change in frailty status that individuals consider to be important. Objectives to examine the relationship between frailty status, for both the frailty phenotype (FP) and frailty index (FI), and utility (preference-based health state), and to determine a MID for both frailty measures. Design and setting population-based cohort of community-dwelling Australians. Participant in total, 874 adults aged ≥65 years (54% female), mean age 74.4 (6.2) years. Measurements frailty was measured using the FP and FI. Utilities were calculated using the short-form 6D health survey, with Australian and UK weighting applied. MID was calculated cross-sectionally. Results for both the FP and FI, frailty was significantly statistically associated (P  < 0.001) with lower utility in an adjusted analysis using both Australian and UK weighting. Between-person MID for the FP was identified as 0.59 [standard deviation (SD) 0.31] (anchor-based) and 0.59 (distribution-based), whereas for the FI, MID was 0.11 (SD 0.05) (anchor-based) and 0.07 (distribution-based). Conclusions frailty is significantly associated with lower preference-based health state utility. Frailty MID can be used to inform design of clinical trials and economic evaluations, as well as providing useful clinical information on frailty differences that patients consider important. [ABSTRACT FROM AUTHOR]

Objective: To determine the prevalence of frailty and associated factors in the North West Adelaide Health Study (2004-2006) using the Frailty Phenotype (FP) and Frailty Index (FI). Methods: Frailty was measured in 909 communitydwelling participants aged ≥65 years using the FP and FI. Results: The FP classified 18% of participants as frail and the FI 48%. The measures were strongly correlated (r = 0.76, P < 0.001) and had a kappa agreement of 0.38 for frailty classification, with 37% of participants classified as non-frail by the FP being classified as frail by the FI. Being older, a current smoker, and having multimorbidity and polypharmacy were associated with higher frailty levels by both tools. Female, low income, obesity and living alone were associated with the FI. Conclusion: Frailty prevalence was higher when assessed using the FI. Socioeconomic factors and other health determinants contribute to higher frailty levels. [ABSTRACT FROM AUTHOR]

The article discusses a study conducted to evaluate the impact of the National Bowel Cancer Screening Program (NBCSP) in South Australia. The study compared the results of patients with colorectal cancer (CRC) from the NBCSP and the South Australian Cancer Registry. It concluded that CRCs were diagnosed at an early stage in the NBCSP compared to others, leading to a reduction in CRC mortality rates in Australia.

Introduction: Frailty is in an increasing focus for acute care systems due to its association with adverse health outcomes. The Clinical Frailty Scale (CFS) is a judgement-based frailty assessment tool, which classifies the frailty status of older adults, but more research involving general medicine inpatients is necessary. The objectives of this study were to describe the predictive ability of CFS, administered by geriatric medicine trained nurses, for adverse outcomes including the following: acute unit and total length of stay (LOS), new nursing home (NH) admission, 12-month mortality and readmission within 30-day., Methods: Design Retrospective study. Participants Patients admitted under general medicine unit and seen by the geriatric medicine liaison team in one general hospital. Main Measure CFS., Results: Of 394 patients included, 60% were mild-moderately frail, and 21% severely frail. In a multivariable analysis, patients classified as severely frail (CFS 7-9) had significantly high odds of death during admission (OR = 13.64), new NH admission (OR = 34.97) and acute LOS (OR = 1.74), compared to non-frail patients (CFS1-4). Mild-moderately frail (CFS 5-6) patients had significantly higher odds for new NH admission (OR = 4.36), acute unit LOS (OR = 1.49) and total LOS (OR = 1.61) compared to non-frail patients. In a Cox regression multivariable survival analysis, the severely frail had a sixfold significantly higher likelihood (HR = 6.19) of 12-month mortality, and the mild-moderately frail had a doubled likelihood (HR = 2.13), compared to the non-frail., Conclusions: The CFS has clinical utility for identifying general medicine older inpatients at-risk of various adverse outcomes., (© 2024 The Author(s). Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

Introduction: There is growing evidence in Australia and elsewhere to indicate that prevalence rates of mental illness are no higher in rural and remote areas than in urban areas. However, it is generally perceived that people from rural and remote areas are at heightened risk of mental illness, because many psychosocial determinants of health are magnified by factors related to remoteness. In this study we attempt to unpack the factors guiding prevalence rates of mental illness to determine if remoteness per se is an important determinant of mental illness., Methods: Analysis of data from a cross-sectional, population-based, computer-assisted telephone interview survey in 2000. Respondents included 2545 South Australian adults, aged 18 years or more. The mental illness measure was self-reported, medically confirmed depression, anxiety or stress related problems in the previous 12 months and receiving treatment. Remoteness was determined using the Accessibility and Remoteness Index of Australia (ARIA). Psychosocial measures consisted of major stressful life events, perceived control of life events, socio-demographic characteristics and lifestyle behaviours., Results: Unadjusted odds of mental illness were lower among residents of accessible and remote/very remote areas than for those from highly accessible areas (OR [odds ratio] 0.67, 95% CI 0.50-0.91 and OR 0.73, 0.54-1.00). After controlling for the joint effects of stressful life events, perceived control of life events, socio-demographic characteristics and lifestyle behaviors, odds of mental illness did not vary by ARIA category (highly accessible [reference category]; accessible: OR 0.90 95% CI 0.60-1.31; moderately accessible: OR 0.80, 95% CI 0.45-1.43; remote/very remote: OR 0.70, 95% CI 0.44-1.03). The most important predictors of mental illness in the multivariate logistic model were female sex; smoking; low consumption of vegetables; low exercise; a physical condition; perceived lack of control with life in general, personal life, job security or health; and major stressful events such as family or domestic violence and the death of someone close., Conclusions: Remoteness per se was not associated with mental illness, either directly or indirectly, as an important confounder in stressful life event/mental illness associations. Psychosocial factors were more important determinants of mental illness.

Neuroblastoma is predominantly a paediatric neoplasm of the sympathetic nervous system. Despite the aggressive nature of the disease, spontaneous regression is frequently observed in infants diagnosed under the age of 12 months; especially with a specific stage referred to as stage 4s. Discovering the conditions, the elements, the mechanism and the indices behind this regression phenomenon could have therapeutic potential for prevention and cure. A review of the literature has implicated adrenocorticotropin hormone in both the aetiology and spontaneous regression of neuroblastoma. Manipulation of adrenocorticotropin hormone may offer hope for prevention and cure. Ingestible products such as retinoic acid, glycyrrhizic acid, salsolinol and ketoconazole acting in concert, could represent instrumental tools in a therapeutic manipulation process.