Disability burden due to musculoskeletal conditions and low back pain in Australia: findings from GBD 2019.

BACKGROUND: To report the national prevalence, years lived with disability (YLDs) and attributable risk factors for all musculoskeletal conditions and separately for low back pain (LBP), as well as compare the disability burden related to musculoskeletal with other health conditions in Australia in 2019. METHODS: Global Burden of Disease (GBD) 2019 study meta-data on all musculoskeletal conditions and LBP specifically were accessed and aggregated. Counts and age-standardised rates, for both sexes and across all ages, for prevalence, YLDs and attributable risk factors are reported. RESULTS: In 2019, musculoskeletal conditions were estimated to be the leading cause of YLDs in Australia (20.1%). There were 7,219,894.5 (95% UI: 6,847,113-7,616,567) prevalent cases of musculoskeletal conditions and 685,363 (95% UI: 487,722-921,471) YLDs due to musculoskeletal conditions. There were 2,676,192 (95% UI: 2,339,327-3,061,066) prevalent cases of LBP and 298,624 (95% UI: 209,364-402,395) YLDs due to LBP. LBP was attributed to 44% of YLDs due to musculoskeletal conditions. In 2019, 22.3% and 39.8% of YLDs due to musculoskeletal conditions and LBP, respectively, were attributed to modifiable GBD risk factors. CONCLUSIONS: The ongoing high burden due to musculoskeletal conditions impacts Australians across the life course, and in particular females and older Australians. Strategies for integrative and organisational interventions in the Australian healthcare system should support high-value care and address key modifiable risk factors for disability such as smoking, occupational ergonomic factors and obesity.

Musculoskeletal Health Conditions Represent a Global Threat to Healthy Aging: A Report for the 2015 World Health Organization World Report on Ageing and Health.

Persistent pain, impaired mobility and function, and reduced quality of life and mental well-being are the most common experiences associated with musculoskeletal conditions, of which there are more than 150 types. The prevalence and impact of musculoskeletal conditions increase with aging. A profound burden of musculoskeletal disease exists in developed and developing nations. Notably, this burden far exceeds service capacity. Population growth, aging, and sedentary lifestyles, particularly in developing countries, will create a crisis for population health that requires a multisystem response with musculoskeletal health services as a critical component. Globally, there is an emphasis on maintaining an active lifestyle to reduce the impacts of obesity, cardiovascular conditions, cancer, osteoporosis, and diabetes in older people. Painful musculoskeletal conditions, however, profoundly limit the ability of people to make these lifestyle changes. A strong relationship exists between painful musculoskeletal conditions and a reduced capacity to engage in physical activity resulting in functional decline, frailty, reduced well-being, and loss of independence. Multilevel strategies and approaches to care that adopt a whole person approach are needed to address the impact of impaired musculoskeletal health and its sequelae. Effective strategies are available to address the impact of musculoskeletal conditions; some are of low cost (e.g., primary care-based interventions) but others are expensive and, as such, are usually only feasible for developed nations. In developing nations, it is crucial that any reform or development initiatives, including research, must adhere to the principles of development effectiveness to avoid doing harm to the health systems in these settings.

Correlates of knee bone marrow lesions in younger adults.

BACKGROUND: Subchondral bone marrow lesions (BMLs) play a key role in the pathogenesis of osteoarthritis (OA) and are associated with pain and structural progression in knee OA. However, little is known about clinical significance and determinants of BMLs of the knee joint in younger adults. We aimed to describe the prevalence and environmental (physical activity), structural (cartilage defects, meniscal lesions) and clinical (pain, stiffness, physical dysfunction) correlates of BMLs in younger adults and to determine whether cholesterol levels measured 5 years prior were associated with current BMLs in young adults. METHODS: Subjects broadly representative of the Australian young adult population (n = 328, aged 31-41 years, female 48.7 %) underwent T1- and proton density-weighted fat-suppressed magnetic resonance imaging (MRI) in their dominant knee. BMLs, cartilage defects, meniscal lesions and cartilage volume were measured. Knee pain was assessed by Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and physical activity was measured by the International Physical Activity Questionnaire (IPAQ). Cholesterol levels including high-density lipoprotein (HDL) were assessed 5 years prior to MRI. RESULTS: The overall prevalence of BML was 17 % (grade 1: 10.7 %, grade 2: 4.3 %, grade 3: 1.8 %). BML was positively associated with increasing age and previous knee injury but not body mass index. Moderate physical activity (prevalence ratio (PR):0.93, 95 % CI: 0.87, 0.99) and HDL cholesterol (PR:0.36, 95 % CI: 0.15, 0.87) were negatively associated with BML, while vigorous activity (PR:1.02, 95 % CI: 1.01, 1.03) was positively associated with medial tibiofemoral BMLs. BMLs were associated with more severe total WOMAC knee pain (>5 vs ≤5, PR:1.05, 95 % CI: 1.02, 1.09) and WOMAC dysfunction (PR:1.75, 95 % CI: 1.07, 2.89), total knee cartilage defects (PR:2.65, 95 % CI: 1.47, 4.80) and total meniscal lesion score (PR:1.92, 95 % CI: 1.13, 3.28). CONCLUSIONS: BMLs in young adults are associated with knee symptoms and knee structural lesions. Moderate physical activity and HDL cholesterol are beneficially associated with BMLs; in contrast, vigorous physical activity is weakly but positively associated with medial tibiofemoral BMLs.

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

BACKGROUND: Reliable and timely information on the leading causes of death in populations, and how these are changing, is a crucial input into health policy debates. In the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010), we aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex. METHODS: We attempted to identify all available data on causes of death for 187 countries from 1980 to 2010 from vital registration, verbal autopsy, mortality surveillance, censuses, surveys, hospitals, police records, and mortuaries. We assessed data quality for completeness, diagnostic accuracy, missing data, stochastic variations, and probable causes of death. We applied six different modelling strategies to estimate cause-specific mortality trends depending on the strength of the data. For 133 causes and three special aggregates we used the Cause of Death Ensemble model (CODEm) approach, which uses four families of statistical models testing a large set of different models using different permutations of covariates. Model ensembles were developed from these component models. We assessed model performance with rigorous out-of-sample testing of prediction error and the validity of 95% UIs. For 13 causes with low observed numbers of deaths, we developed negative binomial models with plausible covariates. For 27 causes for which death is rare, we modelled the higher level cause in the cause hierarchy of the GBD 2010 and then allocated deaths across component causes proportionately, estimated from all available data in the database. For selected causes (African trypanosomiasis, congenital syphilis, whooping cough, measles, typhoid and parathyroid, leishmaniasis, acute hepatitis E, and HIV/AIDS), we used natural history models based on information on incidence, prevalence, and case-fatality. We separately estimated cause fractions by aetiology for diarrhoea, lower respiratory infections, and meningitis, as well as disaggregations by subcause for chronic kidney disease, maternal disorders, cirrhosis, and liver cancer. For deaths due to collective violence and natural disasters, we used mortality shock regressions. For every cause, we estimated 95% UIs that captured both parameter estimation uncertainty and uncertainty due to model specification where CODEm was used. We constrained cause-specific fractions within every age-sex group to sum to total mortality based on draws from the uncertainty distributions. FINDINGS: In 2010, there were 52·8 million deaths globally. At the most aggregate level, communicable, maternal, neonatal, and nutritional causes were 24·9% of deaths worldwide in 2010, down from 15·9 million (34·1%) of 46·5 million in 1990. This decrease was largely due to decreases in mortality from diarrhoeal disease (from 2·5 to 1·4 million), lower respiratory infections (from 3·4 to 2·8 million), neonatal disorders (from 3·1 to 2·2 million), measles (from 0·63 to 0·13 million), and tetanus (from 0·27 to 0·06 million). Deaths from HIV/AIDS increased from 0·30 million in 1990 to 1·5 million in 2010, reaching a peak of 1·7 million in 2006. Malaria mortality also rose by an estimated 19·9% since 1990 to 1·17 million deaths in 2010. Tuberculosis killed 1·2 million people in 2010. Deaths from non-communicable diseases rose by just under 8 million between 1990 and 2010, accounting for two of every three deaths (34·5 million) worldwide by 2010. 8 million people died from cancer in 2010, 38% more than two decades ago; of these, 1·5 million (19%) were from trachea, bronchus, and lung cancer. Ischaemic heart disease and stroke collectively killed 12·9 million people in 2010, or one in four deaths worldwide, compared with one in five in 1990; 1·3 million deaths were due to diabetes, twice as many as in 1990. The fraction of global deaths due to injuries (5·1 million deaths) was marginally higher in 2010 (9·6%) compared with two decades earlier (8·8%). This was driven by a 46% rise in deaths worldwide due to road traffic accidents (1·3 million in 2010) and a rise in deaths from falls. Ischaemic heart disease, stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, lung cancer, and HIV/AIDS were the leading causes of death in 2010. Ischaemic heart disease, lower respiratory infections, stroke, diarrhoeal disease, malaria, and HIV/AIDS were the leading causes of years of life lost due to premature mortality (YLLs) in 2010, similar to what was estimated for 1990, except for HIV/AIDS and preterm birth complications. YLLs from lower respiratory infections and diarrhoea decreased by 45-54% since 1990; ischaemic heart disease and stroke YLLs increased by 17-28%. Regional variations in leading causes of death were substantial. Communicable, maternal, neonatal, and nutritional causes still accounted for 76% of premature mortality in sub-Saharan Africa in 2010. Age standardised death rates from some key disorders rose (HIV/AIDS, Alzheimer's disease, diabetes mellitus, and chronic kidney disease in particular), but for most diseases, death rates fell in the past two decades; including major vascular diseases, COPD, most forms of cancer, liver cirrhosis, and maternal disorders. For other conditions, notably malaria, prostate cancer, and injuries, little change was noted. INTERPRETATION: Population growth, increased average age of the world's population, and largely decreasing age-specific, sex-specific, and cause-specific death rates combine to drive a broad shift from communicable, maternal, neonatal, and nutritional causes towards non-communicable diseases. Nevertheless, communicable, maternal, neonatal, and nutritional causes remain the dominant causes of YLLs in sub-Saharan Africa. Overlaid on this general pattern of the epidemiological transition, marked regional variation exists in many causes, such as interpersonal violence, suicide, liver cancer, diabetes, cirrhosis, Chagas disease, African trypanosomiasis, melanoma, and others. Regional heterogeneity highlights the importance of sound epidemiological assessments of the causes of death on a regular basis. FUNDING: Bill & Melinda Gates Foundation.

The association between parity and knee cartilage in young women.

OBJECTIVES: There have been no reported studies of the association between parity and cartilage in young individuals. The aim of this study was to describe the association between parity, cartilage volume and cartilage defects in women aged 31-41 years. METHODS: Cross-sectional study of 144 women, mean age 36 years and BMI 25 kg/m(2), who were participants in an established prospective study. Parity was assessed using a questionnaire. Knee (medial tibial, lateral tibial and patellar) cartilage volume, cartilage defects (grade 0-4 depending on the severity of cartilage thickness loss at tibial and patellar sites) and tibial bone area were assessed using T1-weighted fat-suppressed MRI. RESULTS: The prevalence of cartilage defects (grade ≥2) in this population was 13%. Parity was associated with a higher risk of cartilage defects at the patellar [prevalence ratio (PR) per birth 1.52, 95% CI 1.05, 2.21; PR parous vs nulliparous 1.93, 95% CI 0.66, 5.65], but not tibial sites, after adjustment for confounders including age, BMI, smoking, physical activity, knee injury and tibial bone area. This association between parity and patellar cartilage defects was stronger for those women who had three or more births (vs nulliparous, PR 5.27, 95% CI 1.39, 20.01). There were no significant associations between parity and cartilage volume. CONCLUSION: Parity was associated with knee cartilage defects primarily at the patellar site in this sample of young women. This association was more apparent with increasing number of live births, suggesting a possible adverse effect of parity on knee cartilage.

Rheumatoid arthritis.

Rheumatoid arthritis (RA) is a complex disease that affects approximately 0.5% of the adult population worldwide, and occurs in 20-50 cases per 100 000 annually, mainly in women after their 40s. The onset of the disease has important diagnostic, prognostic and therapeutic implications and is yet to be defined. The distribution of the disease, in terms of both occurrence and clinical expression, has unclear geographical borders that may reflect differences in genetic admixture, environmental factors and socio-demographic determinants. Some diseases co-occur more frequently than expected with RA, as it is the case of cardiovascular disease, infections or lymphoma, but others in lower frequency than expected, such as cancer or schizophrenia. RA is associated with increased mortality rates compared with the general population in the majority of cohorts published, and the expected survival of RA patients is likely to decrease 3-10 years. As in the general population, the leading cause of death among patients with RA is cardiovascular disease, and deaths due to malignancy occur at a comparable incidence; however, patients with RA are at greater risk of mortality due to infection. Many genes have been implicated in the susceptibility of RA, all of which with a modest effect on isolation. Gene-environment interactions appear as the most plausible underlying cause of RA. Age, sex, smoking, shared epitope and others correlate with its RA. The most important determinants of prognosis in RA are the severity at presentation and the management of the disease, both of which are subject to inequalities.

Patient expectations of hip and knee joint replacement surgery and postoperative health status.

OBJECTIVE: To explore the relationship between preoperative patient expectations and postoperative health status in patients undergoing joint replacement surgery, with particular emphasis on the types of expectations held by patients. METHODS: Respondents completed the Hospital for Special Surgery (HSS) Hip/Knee Replacement Expectations Questionnaires pre-surgery, in addition to the Western Ontario and McMaster Osteoarthritis Index (WOMAC™) and the Short-Form 36-Item (SF-36) Health Survey and the Arthritis Self-Efficacy Scale. The WOMAC™ Index and SF-36 were also completed 3 and 6 months post-surgery. RESULTS: A total of 106 patients (total hip replacement [THR] = 28; total knee replacement [TKR] = 78) completed questionnaires. No differences were seen in overall expectations between males and females or older or younger patients, although some differences between the age groups were seen for individual expectations on the HSS expectations questionnaires. For THR, a higher rating of the importance of expectations was correlated with a lesser improvement in pain from pre-surgery to 3 months post-surgery, whereas for TKR, a higher rating of expectations was associated with a greater improvement in function to 6 months post-surgery. CONCLUSIONS: Patients have high expectations of surgery, which are correlated with post-surgery pain and function. Identifying the broad range of expectations may be helpful in preparation for surgery and gaining greater satisfaction with outcomes.

Association Between Measures of Fatigue and Health-Related Quality of Life in Rheumatoid Arthritis and Osteoarthritis.

OBJECTIVE: To assess the relationship between fatigue and health-related quality of life (HR-QOL) among people with osteoarthritis (OA) and rheumatoid arthritis (RA). METHODS: Community-dwelling people with OA, and OA patients on the waiting list for joint replacement surgery, were recruited. RA patients were recruited from rheumatologists' public and private outpatient clinics. Respondents completed a questionnaire containing demographic detail, the Fatigue Severity Scale (FSS), the Multidimensional Assessment of Fatigue (MAF), the SF-36, Western Ontario and McMaster Universities Osteoarthritis Index, and the Health Assessment Questionnaire (HAQ). RESULTS: There were 137 OA and 52 RA respondents. Neither age nor sex was significantly associated with fatigue for OA or RA. The mean FSS score was 3.36 for RA and 3.63 for OA. Fifty percent of respondents with RA and 58% of those with OA met the FSS >3 cut-point for fatigue. Mean MAF Global Fatigue Index was 20.8 for OA and 20.1 for RA. Correlations between health status and fatigue indicated that for both OA and RA those with greater fatigue reported worse health status. CONCLUSIONS: Few studies have measured the impact of fatigue among respondents with OA, despite it affecting a large proportion of the population. Fatigue was significantly correlated with poorer HR-QOL among OA respondents, suggesting that fatigue is a significant issue in OA as well as RA.

Selection of patients for inpatient rehabilitation or direct home discharge following total joint replacement surgery: a comparison of health status and out-of-pocket expenditure of patients undergoing hip and knee arthroplasty for osteoarthritis.

OBJECTIVES: To analyse the differences in patient health outcomes and out-of-pocket costs following hip and knee joint replacement for osteoarthritis between patients who went home immediately after the acute care hospital stay and those who were admitted to inpatient rehabilitation care before going home. METHODS: One hundred and eighteen patients undergoing total hip or knee replacement in Sydney, Australia completed cost diaries, SF-36 and WOMAC Index, pre-operatively and for one year post-operatively. RESULTS: The health status of all groups improved significantly from before surgery to 12 months post-surgery. No significant difference in health status at 12 months post-surgery was seen between home and rehabilitation patients for either hip or knee replacement. Both hip replacement home and rehabilitation patients and knee replacement home patients reported lower out-of-pocket expenditure from before surgery to 1 year post-surgery. DISCUSSION: The majority of total joint replacement patients can be discharged directly home and achieve excellent outcomes at 12 months post-surgery. We would recommend more focused randomized studies to explore the most suitable patient selection for rehabilitation.

Cost of joint replacement surgery for osteoarthritis: the patients' perspective.

OBJECTIVE: To address costs of total joint replacement surgery from the patients' perspective by determining patient out-of-pocket costs during the first year following joint replacement, and to explore whether health status presurgery or in the immediate 3 months postsurgery were determinants of costs. In light of the different outcomes experienced by patients with total knee replacement (TKR) and total hip replacement (THR), any differences in costs between the 2 groups were also explored. METHODS: Patients with osteoarthritis (OA) scheduled for primary unilateral TKR or THR surgery at 3 Sydney hospitals were approached. Patients completed questionnaires preoperatively to record expenses during the previous 3 months and health status immediately prior to surgery. Patients then maintained detailed prospective cost diaries and completed SF-36 and WOMAC Index every 3 months for the first postoperative year. Arthritis-specific cost inforrmation obtained in the diary included medications (prescription and nonprescription), visits to health professionals, tests (radiographs, scans, blood tests, etc), special equipment, alterations to house, and the use of private or community services. RESULTS: Ninety-eight TKR and 76 THR patients provided cost details for their first postoperative year. For both THR and TKR patients, out-of-pocket costs fell considerably over the first postoperative year, and during the year the proportion of patients who experienced no out-of-pocket costs increased, as did the proportion who made no use of health services such as medical tests or visits to health professionals. Regression analysis for THR patients showed that pension status, preoperative SF-36 Physical Component Score, and 3-month postoperative WOMAC Function were significant independent predictors of postoperative costs. Regression analysis for TKR patients showed that presurgery WOMAC Stiffness and pension status were significant independent predictors of postoperative costs, indicating that those with greater stiffness had greater postsurgery costs and those on a pension had lower costs. CONCLUSION: OA patients undergoing THR and TKR have substantial out-of-pocket costs presurgery, which fall dramatically over the first postoperative year. Poorer presurgery health status predicted greater expenditure during the first postoperative year, which might be taken into consideration when patients are making a choice about the timing of joint surgery.