Effects of an outpatient exercise programme for Australians with cancer-related fatigue: an unmet need.

BACKGROUND: Cancer-related fatigue (CRF) is a common debilitating condition. International evidence supports an exercise prescription for CRF. The majority of Australians with cancer do not meet recommended exercise targets. AIMS: To analyse the effects of a guideline-based supervised exercise programme on CRF among a representative private hospital cancer patient sample (n = 268). METHODS: We collected data from 268 patients recruited from haematology and oncology over a 5-year period. Participants underwent a 3-month CRF exercise programme based on internationally recognised exercise guidelines. The programme, conducted by a multidisciplinary team, operated twice weekly sessions of 2 h duration comprising aerobic, resistance and balance exercises; hydrotherapy and condition counselling; fatigue management; and dietetic, speech pathology and swallowing education (head and neck cancers). The effect of the programme was measured in relation to the following outcomes: Functional Assessment of Chronic Illness Therapy, Fatigue (self-reported fatigue); Functional Assessment of Cancer Therapy, general quality of life (health-related quality of life in cancer); six-minute walk test; and Lawton's Instrumental Activities of Daily Living Scale. RESULTS: Multivariate outcomes showed statistically significant improvements in all four major outcome measures, plus a programme effect of greater than 0.7 for each outcome variable. The programme treatment outcomes were consistent over the 5 years of the programme. CONCLUSIONS: The outcomes of this programme contribute to exercise guidelines in Australia. Currently only position statements exist on the subject, but there are no programme guidelines. An exercise prescription is critical to cancer outcomes. This programme is likely to benefit cancer survivors experiencing CRF across private and public hospitals in Australia.

Molecular Mechanism Biomarkers Predict Diagnosis in Schizophrenia and Schizoaffective Psychosis, with Implications for Treatment.

Diagnostic uncertainty and relapse rates in schizophrenia and schizoaffective disorder are relatively high, indicating the potential involvement of other pathological mechanisms that could serve as diagnostic indicators to be targeted for adjunctive treatment. This study aimed to seek objective evidence of methylenetetrahydrofolate reductase MTHFR C677T genotype-related bio markers in blood and urine. Vitamin and mineral cofactors related to methylation and indolamine-catecholamine metabolism were investigated. Biomarker status for 67 symptomatically well-defined cases and 67 asymptomatic control participants was determined using receiver operating characteristics, Spearman's correlation, and logistic regression. The 5.2%-prevalent MTHFR 677 TT genotype demonstrated a 100% sensitive and specific case-predictive biomarkers of increased riboflavin (vitamin B2) excretion. This was accompanied by low plasma zinc and indicators of a shift from low methylation to high methylation state. The 48.5% prevalent MTHFR 677 CC genotype model demonstrated a low-methylation phenotype with 93% sensitivity and 92% specificity and a negative predictive value of 100%. This model related to lower vitamin cofactors, high histamine, and HPLC urine indicators of lower vitamin B2 and restricted indole-catecholamine metabolism. The 46.3%-prevalent CT genotype achieved high predictive strength for a mixed methylation phenotype. Determination of MTHFR C677T genotype dependent functional biomarker phenotypes can advance diagnostic certainty and inform therapeutic intervention.

Frailty change based on minimally important difference in nursing home residents: FIRST cohort study findings.

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.

Frailty state utility and minimally important difference: findings from the North West Adelaide Health Study.

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.

Shoulder range of movement in the general population: age and gender stratified normative data using a community-based cohort.

BACKGROUND: An understanding of the average range of movement of the shoulder that is normally achievable is an important part of treatment for shoulder disorders. The average range of active shoulder flexion, abduction and external rotation was measured in a population cohort aged 20 years and over without shoulder pain and/or stiffness in order to provide normative shoulder range data. METHODS: Cross-sectional analysis using participants in a community-based longitudinal cohort study. There have been three stages of data collection - Stage 1 (1999-2003), Stage 2 (2004-2006) and Stage 3 (2008-2010). Each stage has consisted a of broad ranging computer assisted telephone interview, a self-complete questionnaire and a clinic assessment. Participants in this study are those who undertook assessments in Stage 2. The main outcome measures were active shoulder range of movement (flexion, abduction and external rotation) measured as part of the clinic assessment using a Plurimeter V inclinometer. Mean values were determined and analyses to examine differences between groups (sex and age) were undertaken using non-parametric tests. RESULTS: There were 2404 participants (51.5% male), mean age 45.8 years (SD 17.3, range 20-91). The average range of active right shoulder flexion was 161.5° for males and 158.5° for females, and active right shoulder abduction was 151.5° and 149.7° for males and females respectively. Shoulder range of movement declined with age, with mean right active shoulder flexion decreasing by 43° in males and 40.6° in females and right active shoulder abduction by 39.5° and 36.9° respectively. External rotation range also declined, particularly among females. CONCLUSION: To our knowledge this is the largest community-based study providing normative data for active shoulder range of movement. This information can be used to set realistic goals for both clinical practice and clinical trials.

Determining the Influence of Psychiatric Comorbidity on Hospital Admissions in Cardiac Patients Through Multilevel Modelling of a Large Hospital Activity Data Set.

BACKGROUND: Increasingly, big data derived from administrative hospital records can be subject to analytics to provide clinical insights. The aim of this study was to determine the impact of psychiatric comorbidity on length of hospital stay and number of hospital admissions in cardiac patients utilising routinely collected hospitalisation records. METHODS: We routinely collected clinical and socio-demographic variables extracted from 37,580 cardiac patients, between 18 and 65 years old, admitted to South Australian hospitals between 2001/02 to 2010/11 financial years with cardiac diagnoses used to derive patient level and separation level variables used in the modelling. Multi-level models were constructed to analyse the impact of psychiatric comorbidity on both length of stay and the total number of hospitalisations, allowing for interactions between socioeconomic status and the burden of disease. Possible confounders for these models were, sex, age, indigenous status, country of birth, and rural status. RESULTS: For cardiac patients a mental health diagnosis was associated with an increase of 12.5% in the length of stay, and an increase in the number of stays by 20.0%. CONCLUSIONS: This study demonstrates the potential utility of routinely collected hospitalisation records to demonstrate the impact of psychiatric comorbidity on health service utilisation.

Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study.

The extreme heat wave in Australia in 2009 resulted in significantly increased number of daily deaths. The circumstances that lead to deaths during extreme heat have not been explored before in Australia. This study aims to identify the individual and community risk factors for deaths during this extreme heat wave in Adelaide. A matched case-control study was conducted. Cases were those who died in the Adelaide metropolitan area during the heat wave period. For each case, two community controls were randomly selected, matched by age and gender. Face-to-face or telephone interviews were conducted to collect data of demographic information, living environment, social support, health status and behavioural changes during the heat wave. Descriptive analysis, as well as simple and multiple conditional logistic regressions were performed. In total, 82 deaths and 164 matched community controls were included in the analysis, with a median age of 77.5 (range 26.6-100.7). The multiple logistic regression model indicated that, compared with controls, the risk of death during the heat wave was significantly increased for people living alone (AOR = 42.31, 95 % CI 2.3, 792.8) or having existing chronic heart disease (AOR = 22.4, 95 % CI 1.7, 303.0). In addition, having air conditioning in bedrooms (AOR = 0.004, 95 % CI 0.00006, 0.28) and participating in social activities more than once a week (AOR = 0.011, 95 % CI 0.0004, 0.29) indicated significant protective effects. We have identified factors that could significantly impact on the likelihood of deaths during heat waves. Our findings could assist in the development of future intervention programs and policies to reduce mortality associated with a warmer climate.

Lung function reductions associated with motor vehicle density in chronic obstructive pulmonary disease: a cross-sectional study.

BACKGROUND: Motor vehicle-related air pollution can potentially impair lung function. The effect of pollution in people with compromised pulmonary function such as in COPD has not been previously investigated. To examine the association of lung function with motor vehicle density in people with spirometrically determined COPD in a cross-sectional study. METHODS: In 2004-06, The North West Adelaide Health Study (NWAHS), a biomedical cohort of adults assessed pre and post-bronchodilator spirometry (n = 3,103). Traffic density, obtained from the motor vehicle inventory maintained by the South Australian Environment Protection Authority, was expressed as the daily numbers of vehicles travelling within a 200 m diameter zone around participants' geocoded residences. RESULTS: In subjects with COPD (FEV1/FVC <0.7, n = 221, 7.1 %), increasing daily vehicle density was associated with statistically significant decreases in lung function parameters after adjustment for smoking and socio-economic variables. Mean (95 % CI) post-bronchodilator % predicted FEV1 was 81 % (76-87) in the low (≤7179/day) compared with 71 % (67-75) in the high (≥15,270/day) vehicle exposure group (p < 0.05). Linear regression analysis in all subjects with COPD showed significant decrements in post-bronchodilator FEV1/FVC ratio and % predicted FEV1 of 0.03 and 0.05 % respectively per daily increase in 1000 vehicles. In men with COPD (n = 150), the corresponding reductions were 0.03 and 0.06 %. Smaller, non-significant decrements were seen in females. No difference was seen in those without COPD. CONCLUSIONS: Vehicle traffic density was associated with significant reductions in lung function in people with COPD. Urban planning should consider the health impacts for those with pre-existing respiratory conditions.

The case for using country-specific scoring coefficients for scoring the SF-12, with scoring implications for the SF-36.

PURPOSE: To examine the validity of using the same scoring coefficients across countries for the SF-12. METHODS: We test the equality of scoring coefficients derived for a contraction of the SF-36, the Short Form 12 (SF-12), using a large international database drawn from nine countries, to test equality between Australia and twelve other country/language groups. First, we checked that the theoretical structure of the SF-12 as set out by Ware and colleagues, but including a correlation between physical and mental health, provided an adequate fit to the data for each country/language group in a confirmatory factor analysis. We then compared Australia to all of these country/language groups in multiple-group models to assess whether a model producing common factor score coefficients provided an adequate fit to the data. We also derived Chi-squared tests for the differences between the restricted and unrestricted models, to test the equality of the factor score coefficients across countries. RESULTS: We found that the theoretical structure of the SF-12, with a correlation between physical and mental health, provides an adequate fit to the data for all country/language groups except Hungary. Further, all the unrestricted multiple-group models provide an adequate fit to the data. In contrast, none of the multiple-group models restricted to common parameters provide an adequate fit to the data. The significance tests confirm that the constraints on parameter values produce significantly different models to the unrestricted models. CONCLUSIONS: We conclude that researchers should derive their own country-specific scoring coefficients for physical and mental health summary scores.

The use of self-report questions to examine the prevalence of musculoskeletal problems: a test-retest study.

BACKGROUND: Case definition has long been an issue for comparability of results obtained for musculoskeletal pain prevalence, however the test-retest reliability of questions used to determine joint pain prevalence has not been examined. The objective of this study was to determine question reliability and the impact of question wording, ordering and the time between questions on responses. METHODS: A Computer Assisted Telephone Interviewing (CATI) survey was used to re-administer questions collected as part of a population-based longitudinal cohort study. On two different occasions questions were asked of the same sample of 203 community dwelling respondents (which were initially randomly selected) aged 18 years and over at two time points 14 to 27 days apart (average 15 days). Reliability of the questions was assessed using Cohen's kappa (κ) and intraclass correlation coefficient (ICC) and whether question wording and period effects existed was assessed using a crossover design. RESULTS: The self-reported prevalence of doctor diagnosed arthritis demonstrated excellent reliability (κ = 0.84 and κ = 0.79 for questionnaires 1 and 2 respectively). The reliability of questions relating to musculoskeletal pain and/or stiffness ranged from moderate to excellent for both types of questions, that is, those related to ever having joint pain on most days for at least a month (κ = 0.52 to κ = 0.95) and having pain and/or stiffness on most days for the last month (κ = 0.52 to κ = 0.90). However there was an effect of question wording on the results obtained for hand, foot and back pain and/or stiffness indicating that the area of pain may influence prevalence estimates. CONCLUSIONS: Joint pain and stiffness questions are reliable and can be used to determine prevalence. However, question wording and pain area may impact on estimates with issues such as pain perception and effect on activities playing a possible role in the recall of musculoskeletal pain.

Health Estimates Using Survey Raked-Weighting Techniques in an Australian Population Health Surveillance System.

A challenge for population health surveillance systems using telephone methodologies is to maintain representative estimates as response rates decrease. Raked weighting, rather than conventional poststratification methodologies, has been developed to improve representativeness of estimates produced from telephone-based surveillance systems by incorporating a wider range of sociodemographic variables using an iterative proportional fitting process. This study examines this alternative weighting methodology with the monthly South Australian population health surveillance system report of randomly selected people of all ages in 2013 (n = 7,193) using computer-assisted telephone interviewing. Poststratification weighting used age groups, sex, and area of residence. Raked weights included an additional 6 variables: dwelling status, number of people in household, country of birth, marital status, educational level, and highest employment status. Most prevalence estimates (e.g., diabetes and asthma) did not change when raked weights were applied. Estimates that changed by at least 2 percentage points (e.g., tobacco smoking and mental health conditions) were associated with socioeconomic circumstances, such as dwelling status, which were included in the raked-weighting methodology. Raking methodology has overcome, to some extent, nonresponse bias associated with the sampling methodology by incorporating lower socioeconomic groups and those who are routinely not participating in population surveys into the weighting formula.

Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia.

BACKGROUND: To determine the extent to which variations in monthly Mental Health Emergency Department (MHED) presentations in South Australian Public Hospitals are associated with the Australian Bureau of Statistics (ABS) monthly unemployment rates. METHODS: Times series modelling of relationships between monthly MHED presentations to South Australian Public Hospitals derived from the Integrated South Australian Activity Collection (ISAAC) data base and the ABS monthly unemployment rates in South Australia between January 2004-June 2011. RESULTS: Time series modelling using monthly unemployment rates from ABS as a predictor variable explains 69% of the variation in monthly MHED presentations across public hospitals in South Australia. Thirty-two percent of the variation in current month's male MHED presentations can be predicted by using the 2 months' prior male unemployment rate. Over 63% of the variation in monthly female MHED presentations can be predicted by either male or female prior monthly unemployment rates. CONCLUSIONS: The findings of this study highlight that even with the relatively favourable economic conditions, small shifts in monthly unemployment rates can predict variations in monthly MHED presentations, particularly for women. Monthly ABS unemployment rates may be a useful metric for predicting demand for emergency mental health services.

Results from several population studies show that recommended scoring methods of the SF-36 and the SF-12 may lead to incorrect conclusions and subsequent health decisions.

PURPOSE: To compare the measurement properties of the physical component summary (PCS) and mental component summary (MCS) scores of the SF-36 and SF-12 based on the traditional orthogonal scoring algorithms with the performance of the PCS and MCS scored based on structural equation model coefficients from a correlated model. METHODS: This study used three large-scale representative population studies to compare the measurement properties of the PCS and MCS scores of the SF-36 and SF-12 with the performance of the PCS and MCS scores based on structural equation models producing coefficients from a correlated model. We assessed the relationships of these scores with selected important mental health measures and chronic conditions from three representative Australian population studies that address clinical conditions of high prevalence and health service importance. RESULTS: Structural equation model scoring methods produced summary scores with higher correlations than the recommended orthogonal methods across a range of disease and health conditions. The problem experienced in using the orthogonal methods is that negative scoring coefficients are applied to negative z-scores for sub-scales, inflating the resulting summary scores. Effect sizes over a half of a standard deviation were common. CONCLUSIONS: If health policy or investment decisions are made based on the results of studies employing the recommended orthogonal scoring methods then the expected outcome of such decisions or investments may not be achieved.

The link between noise perception and quality of life in South Australia.

Environmental noise is a significant risk factor for a range of short- and long-term adverse health outcomes such as annoyance, cognitive development impairment, sleep disturbance, cardiovascular effects, and psychiatric problems. The aim of this study was to gather standardized quality of life (QOL) data hitherto rarely correlated with noise annoyance by source category. To provide an evidence-base for environmental noise policy development, a representative state-based survey was undertaken in South Australia (SA). A total of 3015 face-to-face interviews were conducted, using a questionnaire addressing noise sources, distances to busy roads and standardized measures of perceived annoyance and QOL. Population weighted descriptive survey and regression analysis. The most common sources of noise annoyances were road transport (27.7%, using a Likert scale, aggregating "little" to "extreme" annoyance), neighbors (22.0%), construction noise (10.0%), air conditioner noise (5.8%), rail transport noise (4.7%), and industry (3.9%). Using the QOL instrument, all eight health dimensions were significantly decreased for those reporting high noise annoyance ("very much" to "extreme") in relation to road transport and neighbors compared to those reporting low annoyance ("none" to "moderate") from these sources. Noise annoyance is common in the SA general population, and the evidence for a strong association with QOL reinforces the need for environmental noise management at a population basis.

Understanding the important characteristics of neighbourhoods to facilitate ageing in place and longevity.

OBJECTIVES: This study investigates which local area characteristics, included in the Healthy Ageing/Vulnerable ENvironment (HAVEN) Index, are the strongest factors predicting transition into permanent residential aged care (PRAC) and mortality, and the geographic distribution of these factors. METHODS: A retrospective cohort study of older individuals living in the community in Adelaide who received their first eligibility assessment for age care services between 2013 and 2015 (n = 16,939) was conducted. The study cohort, from the Registry of Senior Australians (ROSA), was linked by postcode to HAVEN Index items, selected following item response theory (IRT) analysis to determine the strongest local area factors associated with PRAC and mortality. Geospatial mapping of the factors determined the geographic distribution of these significant factors. RESULTS: Fourteen HAVEN Index items were associated with entry into PRAC and mortality. Three area-level items, lower educational attainment, financial housing stress and low levels of volunteering by older people, were risk factors for entry into PRAC and mortality while the remainder of the items identified were different for each outcome. The mapped local area risk factors for each outcome highlighted similar geographical areas of vulnerability. CONCLUSIONS: Local area characteristics are associated with entering PRAC and mortality. Our findings can inform area-level responses to make neighbourhoods more age-friendly, potentially allowing more people to age longer in place. Similar analyses, conducted for other areas, could provide evidence to support the widespread development of age-friendly neighbourhoods reducing area-level inequalities in ageing.

Shift to earlier stage at diagnosis as a consequence of the National Bowel Cancer Screening Program.

OBJECTIVE: To assess the impact of the National Bowel Cancer Screening Program (NBCSP) in South Australia. DESIGN, SETTING AND PARTICIPANTS: A cohort comparison of colorectal cancer (CRC) patient data from the NBCSP register and the South Australian Cancer Registry. Patient records of those invited to take part in screening through the NBCSP, those who participated in the program, and those with positive test results were compared with those of the rest of the study population (excluding the group of interest) on an intention-to-screen basis. MAIN OUTCOME MEASURE: Stage of CRC at diagnosis as a surrogate marker for effect on CRC mortality. RESULTS: Of 3481 eligible patients, 221 had been invited to the NBCSP. Invitees were more likely to have stage A lesions compared with all other patients (34.8% versus 19.2%; P < 0.001), and half as likely to have stage D CRC (5.4% versus 12.4%; P < 0.001). A further shift towards earlier stage was seen in those who participated in screening and those with positive test results compared with all other patients (38.8% stage A and 3.0% stage D in screening participants versus 19.3% stage A and 12.4% stage D in all other patients; and 39.7% stage A and 2.6% stage D in those with positive test results versus 19.3% stage A and 12.4% stage D in all other patients; P < 0.001). CONCLUSIONS: CRCs were diagnosed at a significantly earlier stage in people invited to the NBCSP compared with those who were not invited, regardless of participation status or test result. The NBCSP should lead to reductions in CRC mortality in Australia.

Is narrow band imaging superior to high-definition white light endoscopy in the assessment of diminutive colorectal polyps?

BACKGROUND AND AIM: Diminutive polyps measuring ≤ 5 mm in size constitute 80% of polyps in the colon. We prospectively assessed the performance of high-definition white light endoscopy (hWLE) and narrow band imaging (NBI) in differentiating diminutive colorectal polyps. METHODS: In this prospective, multicenter study, videos of 50 diminutive polyps (31 hyperplastic, 19 adenomatous) in hWLE followed by NBI (total 100 videos) were initially obtained and placed in random order into five separate folders (each folder 20 videos). Eight endoscopists were then invited to predict the histology (each endoscopist 100 videos, 800 video assessments in all). Polyps were classified into types 1-3 (hyperplastic) and type 4 (adenoma). Feedback on individual performance was given after each folder (20 videos) was assessed. RESULTS: The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in differentiating hyperplastic from adenomatous polyps by hWLE (400 videos) and NBI (400 videos) were 67.8%, 90.7%, 81.7%, 82.1%, and 82.0%; and 82.2%, 81.5%, 73.1%, 88.2%, and 81.8%, respectively. In the pretest and post-test analysis, the accuracy with NBI improved markedly from 68.8% to 91.3% (P = 0.001) compared with hWLE, 76.3-78.8% (P = 0.850). Overall, the interobserver agreement was 0.46 for hWLE (moderate) and 0.64 for NBI (good). CONCLUSIONS: NBI was as accurate as hWLE in differentiating diminutive colorectal polyps. Once a learning curve was reached, NBI achieved significantly higher accuracies with good interobserver agreement. Using a simplified classification, a didactic learning session and feedback on performance, diminutive colorectal polyps could be predicted with high accuracies with NBI.

The incidence and associations of malignancy in a large cohort of patients with biopsy-determined idiopathic inflammatory myositis.

The South Australian (SA) myositis database has registered all patients with biopsy-proven inflammatory myositis in SA from 1980 to 2009. We determined the incidence and associations of malignancy in myositis by linking this database with the SA cancer registry. Standardized incidence ratios (SIR) for malignancy were determined using the total SA population over the same time period, stratified by age and gender. The SIR for cancer in the myositis population (n = 373) was 1.39, p = 0.047. There was a trend towards an increased SIR in dermatomyositis but no increased risk of malignancy in polymyositis or inclusion body myositis. Malignancies of the lung and prostate were the commonest and 28 % of malignancies occurred within one year of IIM diagnosis. The odds of developing cancer were significantly raised in the presence of a shawl sign, male gender, and in patients with overlap syndrome or rheumatoid arthritis whilst myalgia was a significant protective factor. HLA-A28 allele was overrepresented in patients with malignancy (11 vs 2 %, p = 0.006). Patients in SA with myositis are at modestly increased risk for malignancy. We report clinical and genetic risk factors allowing the identification of patients at greatest risk for malignancy.

Daytime Sleepiness Predicts Mortality in Nursing Home Residents: Findings from the Frailty in Residential Aged Care Sector Over Time (FIRST) Study.

OBJECTIVES: Excessive daytime sleepiness is an increasingly frequent condition among older adults with comorbidities and living in nursing homes (NHs). This study investigated associations between participants' characteristics and excessive daytime sleepiness (EDS); the ability of the Epworth Sleepiness Scale (ESS) scores, EDS, and EDS severity levels to predict mortality at 12 months of follow-up; and the optimal cut-off for ESS to predict mortality among NH residents. DESIGN: Prospective and cross-sectional analysis in a prospective study. SETTING AND PARTICIPANTS: Older adults permanently residing in 12 NHs from South Australia. METHODS: Baseline characteristics including the ESS were collected and mortality at 12 months was assessed. Logistic regression analyzed associations between participants' characteristics and EDS (ESS >10). Kaplan-Meier cumulative survival estimates followed by log-rank and adjusted Cox proportional hazards models explored associations of ESS scores, EDS, and EDS severity levels with time-to-incident death. Receiver operator curve analysis assessed the best cut-off for ESS to predict mortality risk. RESULTS: A total of 550 participants [mean (SD) age, 87.7 (7.2) years; 968 (50.9%) female]. Malnutrition [adjusted odds ratio (aOR) 2.02, 95% confidence interval (CI) 1.13‒3.61], myocardial infarction (aOR 1.91, 95% CI 1.20‒3.03), heart failure (aOR 2.85, 95% CI 1.68‒4.83), Parkinson's disease (aOR 2.16, 95% CI 1.04‒4.47) and severe dementia (aOR 8.57, 95% CI 5.25‒14.0) were associated with EDS. Kaplan-Meier analyses showed reduced survival among participants with EDS (log-rank test: χ2 = 25.25, P < .001). EDS predicted increased mortality risk (HR 1.63, 95% CI 1.07-2.51, P = .023). ESS score of 10.5 (>10) was the best cut point predicting mortality risk (area under the curve = 0.62). CONCLUSIONS AND IMPLICATIONS: EDS predicts mortality risk and is associated with age-related comorbidities in NH residents. Screening for EDS is a simple strategy to identify NH residents at higher risk of adverse outcomes, triggering an assessment for reversibility or conversations about end-of-life care.

Does CGA Improve Health Outcomes in the Community? An Umbrella Review.

OBJECTIVES: To perform an umbrella review of systematic reviews with meta-analyses (MAs) examining the effectiveness of comprehensive geriatric assessment (CGA) delivered within community settings to general populations of community-dwelling older people against various health outcomes. DESIGN: Umbrella review of MAs of randomized controlled trials (RCTs). SETTING AND PARTICIPANTS: Systematic reviews with MAs examining associations between CGA conducted within the community and any health outcome, where participants were community-dwelling older people with a minimum mean age of 60 years or where at least 50% of study participants were aged ≥60 years. Studies focusing on residential care, hospitals, post-hospital care, outpatient clinics, emergency department, or patients with specific conditions were excluded. METHODS: We examined CGA effectiveness against 12 outcomes: not living at home, nursing home admission, activities of daily living (ADLs) and instrumental ADLs (IADLs), physical function, falls, self-reported health status, quality of life, frailty, mental health, hospital admission, and mortality, searching the MEDLINE/PubMed, Cochrane Library, CINAHL, Embase databases from January 1, 1999, to August 10, 2022. AMSTAR-2 was used to assess the quality of included systematic reviews, including risk of bias. RESULTS: We identified 10 MAs. Only not living at home (combined mortality and nursing home admission) demonstrated concordance between effect direction, significance, and magnitude. Significant effects were more typically observed in earlier rather than later studies. CONCLUSION AND IMPLICATIONS: Given the widespread adoption of CGA as a component of usual care within geriatric medicine, the lack of strong evidence demonstrating the protective effects of CGA may be indicative of a cohort effect. If so, future RCTs examining CGA effectiveness are unlikely to demonstrate significant findings. Future studies of CGA in the community should focus on implementation and adherence to key components. TRIAL REGISTRATION: Study protocol registered in PROSPERO 2020 CRD42020169680.