Comparison of skin cancer risk between renal transplant recipients and patients with glomerular diseases in rural Queensland.

INTROUDCTION: There is increased risk of skin cancer in patients with gloermular disease or those with renal transplant. OBJECTIVES: To compare the risk of skin cancer between kidney recipients (KTRs) and patients with glomerular disease (GD). DESIGN: The cohort comprised patients with KTRs (n = 61) and GD (n = 51) in Central and Central West Queensland, Australia. A quantitative cohort study was undertaken to study the risk of skin cancer in rural communities between two subgroups of patients with kidney diseases in relationship to immunosuppression. Statistical analyses of the differences in incidence of skin cancers between the two groups were done by chi-square test, Fisher's exact test, independent t-test and McNemar's test. FINDINGS: KTRs with non-melanoma skin carcinoma (NMSC) increased significantly after treatment with immunosuppressants (pre-transplantation, n = 11 [18.0%], post-transplantation, n = 28 [45.9%]; p < 0.001). There were no differences in number of patients with NMSC observed in the GD group (pre-diagnosis, n = 6 [11.8%], post-diagnosis, n = 7 [13.7%]; p = 1.000). Compared to the risks at 1 year post-immunosuppressants, the incidence of NMSC of KTRs increased significantly at 3 years (20.3% vs. 35.4%, p < 0.001) and 5 years (20.3% vs. 62.2%, p < 0.001) post-immunosuppressants, whereas the increased incidence of NMSC was observed only at 5 years (2.1% vs. 11.8%, p = 0.012) in the GD cohort. The mean cumulative number of NMSC in KTRs increased significantly at 3 years (p = 0.011), and 5 years (p = 0.001) post-immunosuppressants, compared to the risks at 1 year post-immunosuppressants, however, no differences were noted in the GD cohort. DISCUSSION: Immunosuppressants increased the risk of NMSC in KTRs. The increased risk is likely dependent on the intensity and duration of immunosuppressants. CONCLUSION: In patients with a high risk of NMSC, reducing skin cancer risk should be considered in conjunction with the optimisation of treatment.

Proteus species bloodstream infections: Comparative epidemiology of three species.

BACKGROUND: Although Proteus species are occasional causes of serious infections, their epidemiology has not been well defined. The objective was to describe the overall and species-specific occurrence and determinants of Proteus species bloodstream infection (BSI) in a large Australian population. METHODS: All Queensland residents with Proteus species BSI identified within the publicly funded healthcare system between 2000 and 2019 were included. RESULTS: A total of 2,143 incident episodes of Proteus species BSI were identified among 2,079 Queensland residents. The prevalence of comorbid illness differed with higher Charlson comorbidity scores observed with P. penneri and P. vulgaris, and higher prevalence of liver disease with P. penneri, higher comorbid cancer with P. vulgaris, and lower diabetes and renal disease prevalence with P. mirabilis BSIs. CONCLUSION: This study provides novel information on the epidemiology of Proteus species BSI.

General surgeon performed emergency craniotomies in regional Queensland hospitals: a 20-year state-wide study on patient outcomes.

BACKGROUND: Traumatic brain injuries account for up to 50% of trauma related deaths and if surgical intervention is indicated, consensus suggests a maximum of 4 hours to surgical decompression. The occurrence and outcomes of craniotomies performed by non-neurosurgeons in regional Queensland hospitals have never been reported previously in the literature. METHODS: A retrospective review was performed at all regional Queensland hospitals without an on-site neurosurgical service from January 2001 to December 2022 to identify patients undergoing emergency craniotomy. Data recorded included basic demographics, history of anti-coagulant use, mechanism of injury, type of haemorrhage, Glasgow Coma Score and Glasgow Outcome Scale (GOS) on discharge. Radiological parameters measured included midline shift and maximal coronal depth of haematoma. The primary aim of this study was to assess the clinical and radiological outcomes of patients who underwent a craniotomy performed by general surgeons. RESULTS: Over the past 20 years there have been 23 emergency decompressive procedures (one excluded) performed in regional Queensland. Preoperative imaging demonstrated 9 extradural haematomas and 13 subdural haematomas. Six of 17 transferred cases required reoperation after transfer to a neurosurgical centre. Survival was observed in 9 of 22 cases, with 'good' functional outcome (GOS ≥3) observed in 7 cases. In no cases were rurally performed burr holes effective. DISCUSSION: Qualitatively, a larger craniotomy may be associated with better clinical and radiological outcomes. Although rare occurrences, our results demonstrate that general surgeon performed craniotomies are frequently efficacious in producing radiological and/or clinical improvement and should be considered as a potentially lifesaving procedure.

EQ-5D-5L Population Norms and Quality-Adjusted Life Expectancy by Sociodemographic Characteristics and Modifiable Risk Factors for Adults in Queensland, Australia.

OBJECTIVES: Over half of Australia's disease burden is due to morbidity, predominantly chronic conditions. Health-related quality of life instruments provide measures of morbidity and health status across different dimensions with EQ-5D being one of the most widely used. This study reports EQ-5D-5L general population norms for Queensland, Australia using the recently published Australian value set. METHODS: Population survey results from cross-sectional computer-assisted telephone interviews for Queensland adults in 2022 and 2023 were analyzed. EQ-5D-5L, as well as modifiable risk factors and sociodemographic data were collected. Using the recently published final Australian EQ-5D-5L value set, mean utility scores were calculated for Queensland, as well as by sociodemographic characteristics, including remoteness and socioeconomic area-based measures, and modifiable risk factors, such as smoking and body mass index. Results were combined with life tables to estimate quality-adjusted life expectancy (QALE) for subgroups with different lifestyles. RESULTS: The EQ-5D utility score for the Queensland adult population was 0.916. Smoking daily, being obese or older in age, or living in the most disadvantaged socioeconomic area were associated with lower mean scores. QALE was 6.1 and 7.9 years shorter than the life expectancy for Queensland males and females, respectively, but generally, those who reported having healthier lifestyles had higher mean utility scores and thus longer QALE. CONCLUSIONS: In addition to reporting Queensland EQ-5D-5L general population norms, these results demonstrate potential QALE gains in people following healthier lifestyles. The results support investment in prevention and may motivate further studies in this important area.

Individual and area level factors associated with the breast cancer diagnostic-treatment interval in Queensland, Australia.

BACKGROUND: Delays to breast cancer treatment can lead to more aggressive and extensive treatments, increased expenses, increased psychological distress, and poorer survival. We explored the individual and area level factors associated with the interval between diagnosis and first treatment in a population-based cohort in Queensland, Australia. METHODS: Data from 3216 Queensland women aged 20 to 79, diagnosed with invasive breast cancer (ICD-O-3 C50) between March 2010 and June 2013 were analysed. Diagnostic dates were sourced from the Queensland Cancer Registry and treatment dates were collected via self-report. Diagnostics-treatment intervals were modelled using flexible parametric survival methods. RESULTS: The median interval between breast cancer diagnosis and first treatment was 15 days, with an interquartile range of 9-26 days. Longer diagnostic-treatment intervals were associated with a lack of private health coverage, lower pre-diagnostic income, first treatments other than breast conserving surgery, and residence outside a major city. The model explained a modest 13.7% of the variance in the diagnostic-treatment interval [Formula: see text]. Sauerbrei's D was 0.82, demonstrating low to moderate discrimination performance. CONCLUSION: Whilst this study identified several individual- and area-level factors associated with the time between breast cancer diagnosis and first treatment, much of the variation remained unexplained. Increased socioeconomic disadvantage appears to predict longer diagnostic-treatment intervals. Though some of the differences are small, many of the same factors have also been linked to screening and diagnostic delay. Given the potential for accumulation of delay at multiple stages along the diagnostic and treatment pathway, identifying and applying effective strategies address barriers to timely health care faced by socioeconomically disadvantaged women remains a priority.

Analysis of wastewater from 2013 to 2021 detected a recent increase in nicotine use in Queensland, Australia.

Previous wastewater-based epidemiology (WBE) studies have reported decreasing trends of nicotine and tobacco use in Australia before 2017, but there is concern that increasing illicit use of nicotine in vaping products and illicit tobacco could reverse this progress. This study aimed to assess temporal trends of nicotine consumption and specifically tobacco consumption via wastewater analysis in a population in Australia between 2013 and 2021. One week of daily wastewater samples were analyzed every two months from February 2013 to December 2021 in a regional city serving ∼100,000 people. A total of 340 daily samples were analyzed for anabasine (tobacco specific biomarker) and nicotine metabolites, cotinine and hydroxycotinine, using direct injection method by liquid chromatography with tandem mass spectrometry. Daily consumption estimates were calculated from daily flow data, population estimates and previously reported excretion factors. Linear spline regression was performed to identify periods when significant change of slopes occurred and to evaluate the temporal trends. Tobacco use monitored using anabasine as a biomarker, showed a decreasing trend over the whole period with a higher rate of decrease during the first two years (2013-2014, 21 % decrease) compared to the later 7 years (2015-2021, 10 % decrease). Nicotine use, monitored using cotinine and hydroxycotinine, showed a downward trend between 2013 and 2018 (2013-2014: 18 % decrease, p < 0.05; 2015-2016: 6 % increase, p = 0.48; Feb-Dec 2017: 15 % decrease, p = 0.39) followed by a significant increase from 2018 to 2021 (40 % increase, p < 0.001). This finding suggests the increasing use of non-tobacco nicotine-based products. Additionally, the tobacco use estimate by wastewater analysis was higher than the tobacco sales data, which suggests the use of illicit tobacco in the catchment.

Medical versus surgical causes of death following colorectal resection: a Queensland Audit of Surgical Mortality (QASM) study.

BACKGROUND: The causes of death following colorectal resection remain poorly explored. Few studies have addressed whether early post-operative mortality is predominantly caused by a patient's medical co-morbidities, or from factors pertaining to the presenting surgical disease process itself. This study analyses data from the Queensland audit of surgical mortality (QASM) to report the causes of in-hospital death following colorectal resection, identifies whether these were due to either medical or surgical factors, and determines the patient characteristics associated with a medical cause of death. METHODS: Through analysis of QASM Surgical Case Forms, the causes of in-hospital death were determined in 750 patients who died in Queensland following colorectal resection between January 2010 and December 2020. Deaths were attributed to a specific medical or surgical cause, with multivariate analysis used to identify independent risk factors associated with a medical cause of death. RESULTS: In total, 395 patients (52.7%) died due to surgical causes and 355 (47.3%) died due to medical causes. Respiratory co-morbidities (OR 1.832, 95% CI: 1.267-2.650), advanced malignancy (OR 1.814, 95% CI: 1.262-2.607), neurological co-morbidities (OR 1.794, 95% CI: 1.168-2.757) and advanced age (OR 1.430, 95% CI: 1.013-2.017) were independent risk factors associated with increased risk of a medical cause of death. CONCLUSION: Even in the absence of complicating surgical factors, a significant number of patients died in hospital following colorectal resection due to their underlying co-morbidities. Multi-disciplinary models of care which allow for the early recognition and treatment of medical complications may reduce post-operative mortality in these patients.

The value of maternity care in Queensland, 2012-18, based on an analysis of administrative data: a retrospective observational study.

OBJECTIVE: To quantify the value of maternity health care - the relationship of outcomes to costs - in Queensland during 2012-18. STUDY DESIGN: Retrospective observational study; analysis of Queensland Perinatal Data Collection data linked with the Queensland Health Admitted Patient, Non-Admitted Patient, and Emergency Data Collections, and with the Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) databases. SETTING, PARTICIPANTS: All births in Queensland during 1 July 2012 - 30 June 2018. MAIN OUTCOME MEASURES: Maternity care costs per birth (reported in 2021-22 Australian dollars), both overall and by funder type (public hospital funders, MBS, PBS, private health insurers, out-of-pocket costs); value of care, defined as total cost per positive birth outcome (composite measure). RESULTS: The mean cost per birth (all funders) increased from $20 471 (standard deviation [SD], $17 513) during the second half of 2012 to $30 000 (SD, $22 323) during the first half of 2018; the annual total costs for all births increased from $1.31 billion to $1.84 billion, despite a slight decline in the total number of births. In a mixed effects linear analysis adjusted for demographic, clinical, and birth characteristics, the mean total cost per birth in the second half of 2018 was $9493 higher (99.9% confidence interval, $8930-10 056) than during the first half of 2012. The proportion of births that did not satisfy our criteria for a positive birth outcome increased from 27.1% (8404 births) during the second half of 2012 to 30.5% (9041 births) during the first half of 2018. CONCLUSION: The costs of maternity care have increased in Queensland, and many adverse birth outcomes have become more frequent. Broad clinical collaboration, effective prevention and treatment strategies, as well as maternal health services focused on all dimensions of value, are needed to ensure the quality and viability of maternity care in Australia.

A five-year analysis of latent tuberculosis infection in Queensland, 2016-2020.

Background Australia is aiming to reach tuberculosis pre-elimination targets by 2035. As a low-incidence setting, control efforts will increasingly rely on the management of latent tuberculosis infection (LTBI). We undertook this descriptive analysis to assess the recent trends of LTBI testing in Queensland. Methods Our objective was to describe the features of LTBI testing in Queensland, and to estimate the range of possible annual notifications were it to be made a notifiable condition. We collated both state-wide and region-specific data on tuberculin skin testing (TST) and interferon gamma release assays (IGRA) conducted in Queensland during the five-year period 1 January 2016 - 31 December 2020. We used reports on Medicare-funded TST and IGRA testing in Queensland, as well as tuberculosis notification data, to understand the representativeness of our data and to derive state-wide estimates. Results We analysed 3,899 public TST, 5,463 private TST, 37,802 public pathology IGRA, and 31,656 private pathology IGRA results. The median age of people tested was 31 years; 57% of those tested were female. From our data sources, an annual average of 1,067 positive IGRA and 354 positive TST results occurred in Queensland. Building on this minimum value, we estimate possible latent tuberculosis notifications in Queensland could range from 2,901 to 6,995 per annum. Private laboratory TSTs are estimated to contribute the lowest number of potential notifications (range: 170-340), followed by private laboratory IGRA testing (range: 354-922), public laboratory IGRA testing (range: 706-1,138), and public setting TSTs (range: 1,671-4,595). Conclusion If LTBI were to be made notifiable, these estimates would place it among the ten most notified conditions in Queensland. This has implications for potential surveillance methods and goals, and their associated system and resource requirements.

Bloodstream infections in neutropenic and non-neutropenic patients with haematological malignancies: epidemiological trends and clinical outcomes in Queensland, Australia over the last 20 years.

Knowledge of the epidemiology of bloodstream infection (BSI) in haematology patients is essential to guide patient management. We investigated the epidemiology of BSI in patients with haematological malignancies in Queensland over the last 20 years (2000-2019), including all episodes diagnosed by the state-wide microbiology service. We identified 7749 BSI in 5159 patients, 58% associated with neutropenia. Gram-negatives were the main causative pathogens (58.3%), more frequent in neutropenic than non-neutropenic patients (3308/5309, 62.3% vs 1932/3678, 52.5%, p < 0.001). Amongst 8987 isolates the most common were E. coli (15.4%) and Pseudomonas spp. (14.2%). Pseudomonas spp. (16.6% vs 10.7%, p < 0.001), Klebsiella spp. (11.6% vs 6.8%, p < 0.001), viridans-group streptococci (4.4% vs 1.2%, p < 0.001) and E. faecium (2.4% vs 0.9%, p < 0.001) were more common in neutropenic than non-neutropenic patients, while S. aureus was less common (5.9% vs 15.6%, p < 0.001). Several antimicrobial resistance rates increased over time and had higher prevalence in neutropenic than non-neutropenic patients, including ciprofloxacin-resistant E. coli (94/758, 12.4% vs 42/506, 8.3%, p = 0.021), trimethoprim-sulfamethoxazole-resistant E. coli (366/764, 47.9% vs 191/517, 36.9%, p < 0.001), penicillin-resistant streptococci (51/236, 21.6% vs 28/260, 10.8%, p < 0.001) and vancomycin-resistant enterococci (46/250, 18.4% vs 9/144, 6.3%, p < 0.001). Carbapenem-resistant Pseudomonas spp. (OR 7.32, 95%CI 2.78-19.32) and fungi, including yeasts and moulds (OR 3.33, 95%CI 2.02-5.48) were associated to the highest odds of 30-day case-fatality at a multivariable logistic regression analysis. Neutropenia was associated with survival (OR 0.66, 95%CI 0.55-0.78). Differences were observed in the BSI epidemiology according to neutropenic status, with an overall increase of resistance over time associated to adverse outcome.

Health care service use by people diagnosed with invasive melanoma in Queensland: a benefit incidence analysis.

OBJECTIVE: To quantify differences, by residential remoteness and socio-economic status, in health care service use by people diagnosed with invasive melanoma in Queensland. DESIGN: Benefit incidence analysis of CancerCostMod data, comprising Queensland Cancer Registry data linked with Queensland Hospital Admitted Patient Data Collection (QHAPDC), Medicare Benefits Schedule (MBS), and Pharmaceutical Benefits Scheme (PBS) data. SETTING, PARTICIPANTS: Adults (18 years or older) newly diagnosed with invasive melanoma in Queensland during 1 July 2011 - 31 June 2015 and alive three years after diagnosis. MAIN OUTCOME MEASURES: Concentration curves and indices quantifying differences by residential postcode-based remoteness (Australian Statistical Geography Standard - Remoteness Area) and socio-economic disadvantage (Index of Relative Socioeconomic Disadvantage) in hospital admissions (overall and by type) and use of MBS (overall and by type) and PBS services during the three years following diagnosis of invasive melanoma. RESULTS: A total of 13 145 adults diagnosed with invasive melanoma during 2011-15 were alive three years after the diagnosis. Public hospital admissions were more frequent for people living in areas of greater socio-economic disadvantage (concentration index, -0.15; 95% confidence interval [CI], -0.19 to -0.12) or outside major cities (concentration index, -0.10; 95% CI, -0.13 to -0.06); private hospital admissions (concentration index, 0.11; 95% CI, 0.07-0.15) and specialist consultations (concentration index, 0.08; 95% CI, 0.07-0.10) were more frequent in areas of lesser disadvantage and in major cities (private hospital admissions: 0.10; 95% CI, 0.06-0.13; specialist services: 0.07; 95% CI, 0.06-0.09). Differences in other melanoma health care service use by residential remoteness and socio-economic disadvantage were not statistically significant. CONCLUSIONS: Variation in health care service use by Queenslanders with primary diagnoses of invasive melanoma by residential socio-economic disadvantage and remoteness were generally minor. Our analysis suggests that access to health care for people with melanoma is fairly equitable in Queensland.

Increased recognition of Q fever aortitis as a chronic manifestation of Q fever in tropical North Queensland, Australia.

Aortitis is a life-threatening, manifestation of chronic Q fever. We report a series of 5 patients with Q fever aortitis who have presented to our hospital in tropical Australia since 2019. All diagnoses were confirmed with polymerase chain reaction (PCR) testing of aortic tissue. Only one had a previous diagnosis of acute Q fever, and none had classical high-risk exposures that might increase clinical suspicion for the infection. All patients underwent surgery: one died and 3 had significant complications. Q fever aortitis may be underdiagnosed; clinicians should consider testing for Coxiella burnetii in people with aortic pathology in endemic areas.

Treatment intervals and survival for women diagnosed with early breast cancer in Queensland: the Breast Cancer Outcomes Study, a population-based cohort study.

OBJECTIVES: To assess associations between breast cancer-specific survival and timeliness of treatment, based on 2020 Australian guidelines for the treatment of early breast cancer. DESIGN: Population-based cohort study; analysis of linked Queensland Cancer Register, patient medical record, and National Death Index data, supplemented by telephone interviews. SETTING, PARTICIPANTS: Women aged 20-79 years diagnosed with invasive breast cancer during 1 March 2010 - 30 June 2013, followed to 31 December 2020. MAIN OUTCOME MEASURES: Breast cancer-specific survival for women who received or did not receive treatment within the recommended timeframe, overall and for six treatment intervals; optimal cut-points for each treatment interval; characteristics of women for whom treatment was not provided within the recommended timeframe. RESULTS: Of 5426 eligible women, 4762 could be invited for interviews; complete data were available for 3044 women (56% of eligible women, 65% of invited women). Incomplete compliance with guideline interval recommendations was identified for 1375 women (45%); their risk of death from breast cancer during the follow-up period was greater than for those for whom guideline compliance was complete (adjusted hazard ratio [aHR], 1.43; 95% confidence interval [CI], 1.04-1.96). Risk of death was greater for women for whom the diagnosis to surgery interval exceeded 29 days (aHR, 1.76; 95% CI, 1.19-2.59), the surgery to chemotherapy interval exceeded 36 days (aHR, 1.63; 95% CI, 1.13-2.36), or the chemotherapy to radiotherapy interval exceeded 31 days (aHR, 1.83; 95% CI, 1.19-2.80). Treatment intervals longer than recommended were more frequent for women for whom breast cancer was detected by public facility screening (adjusted odds ratio [aOR], 1.58; 95% CI, 1.22-2.04) or by symptoms (aOR, 1.39; 95% CI, 1.09-1.79) than when cancer had been detected in private facilities, and for women without private health insurance (aOR, 1.96; 95% CI, 1.66-2.32) or living outside major cities (aOR, 1.38; 95% CI, 1.18-1.62). CONCLUSIONS: Breast cancer-specific survival was poorer for women for whom the diagnosis to surgery, surgery to chemotherapy, or chemotherapy to radiotherapy intervals exceeded guideline-recommended limits. Our findings support 2020 Australian guideline recommendations regarding timely care.

Survival outcomes of head and neck melanoma patients in Queensland, Australia from 2009 to 2018.

BACKGROUND/OBJECTIVES: To compare survival outcomes for patients with cutaneous invasive head and neck melanoma (HNM) with those of patients with melanoma on other anatomical sites. METHODS: Retrospective cohort study using patient data extracted from the Cancer Alliance Queensland's Oncology Analysis System (OASYS) over a 10-year period from 2009 to 2018. Melanoma-specific survival was compared between patients with HNM and non-HNM. Kaplan-Meier survival estimates were calculated at 5 and 10 years. Univariable and multivariable Cox proportional hazards regression analysis determined factors associated with survival. RESULTS: The 5- and 10-year survival probabilities were 90.7% and 89.1%, respectively for HNM, compared with 94.7% and 93.0%, respectively, for non-HNM melanoma. The 5- and 10-year survival probabilities for scalp melanoma were 77.8% and 75.5%, respectively. Patients with HNM died of melanoma at 1.22 times (HR 1.22, 95% CI 1.09-1.37) the rate of those with non-HNM, controlling for sex, age, socioeconomic status, remoteness, Breslow thickness, the presence of multiple invasion melanoma and ulceration. Patients with scalp melanoma died of melanoma at 1.57 times (HR 1.57, 95% CI 1.26-1.95) the rate of those with non-scalp HNM. CONCLUSIONS: There is a statistically significant survival difference between patients with HNM and non-HNM, and between patients with scalp melanoma and non-scalp HNM, even after adjusting for prognostic factors.

Exploring the impact of remoteness on people with head and neck cancer: Utilisation of a state-wide dataset.

OBJECTIVE: Living in regional/rural areas can impact outcomes for people with head and neck cancer (HNC). Using a comprehensive state-wide dataset, the impact of remoteness on key service parameters and outcomes for people with HNC was examined. METHODS: Retrospective quantitative analysis of routinely collected data held within the Queensland Oncology Repository. DESIGN: Quantitative methods (descriptive statistics, multivariable logistic regression and geospatial analysis). SETTING: All people diagnosed with HNC in Queensland, Australia. PARTICIPANTS: The impact of remoteness was examined in 1991 people (1171 metropolitan, 485 inner-regional, 335 rural) with HNC cancer diagnosed between 2013 and 2015. MAIN OUTCOME MEASURES: This paper reports key demographics and tumour characteristics (age, gender, socioeconomic status, First Nations status, co-morbidities, primary tumour site and staging), service use/uptake (treatment rates, attendance at multidisciplinary team review and timing to treatment) and post-acute outcomes (readmission rates, causes of readmission and 2-year survival). In addition to this, the distribution of people with HNC across QLD, distances travelled and patterns of readmission were also analysed. RESULTS: Regression analysis revealed remoteness significantly (p < 0.001) impacted access to MDT review, receiving treatment, and time to treatment commencement, but not readmission or 2-year survival. Reasons for readmission did not differ by remoteness, with dysphagia, nutritional inadequacies, gastrointestinal disorders and fluid imbalance indicated in the majority of readmissions. Rural people were significantly (p < 0.0001) more likely to travel to care and to readmit to a different facility than provided primary treatment. CONCLUSIONS: This study provides new insights into the health care disparities for people with HNC residing in regional/rural areas.

Oral cavity and oropharyngeal carcinoma disparities in age and survival in Indigenous and non-Indigenous populations of Queensland.

OBJECTIVES: To investigate the risk and prognosis of oral squamous cell carcinoma (SCC) between Indigenous and non-Indigenous populations of Queensland. MATERIALS AND METHODS: Retrospective analysis of data from the Queensland Cancer Registry (QCR) between the years 1982-2018. Main outcome measures were age at diagnosis and cumulative survival to compare the risk and prognosis of oral SCC between the populations. RESULTS: 9424 patients with self-declared ethnicity were identified with oral SCC from the QCR, with a male to female ratio of 2.56:1. Of these patients, 9132 were non-Indigenous (96.9%) and 292 Indigenous (3.1%). Indigenous people were significantly younger at diagnosis (mean (SD) age 54.3 (10.1) years), compared to 62.0 (12.1) years in non-Indigenous people. Mean survival in the full cohort was 4.3 years (SD: 5.6), with Indigenous people presenting a significant shorter mean survival of 2.0 years (SD: 3.5) when compared with 4.4 years (SD: 5.7) in non-Indigenous people (p < 0.001). CONCLUSIONS: Indigenous Australians are diagnosed at a significantly younger age and present with worse survival and poorer prognosis. Due to missing variables in the Queensland Cancer Registry, it is not possible in the current study to ascertain the scientific or social reasons behind these disparities. CLINICAL RELEVANCE: Results from this study can inform public policy and raise awareness in Queensland regarding disparity in oral cancer prognosis.

Contribution of skin cancer to overall healthcare costs of lung transplantation in Queensland, Australia.

BACKGROUND: Skin cancers are a major source of morbidity in lung transplant recipients, but the relative costs associated with their treatment are unknown. METHODS: We prospectively followed 90 lung transplant recipients from enrollment in the Skin Tumors in Allograft Recipients study in 2013-2015, until mid-2016. We undertook a cost analysis to quantify the health system costs relating to the index transplant episode and ongoing costs for 4 years. Linked data from surveys, Australian Medicare claims, and hospital accounting systems were used, and generalized linear models were employed. RESULTS: Median initial hospitalization costs of lung transplantation were AU$115,831 (interquartile range (IQR) $87,428-$177,395). In total, 57 of 90 (63%) participants were treated for skin cancers during follow-up at a total cost of AU$44,038. Among these 57, total government costs per person (mostly of pharmaceuticals) over 4 years were median AU$68,489 (IQR $44,682-$113,055) vs AU$59,088 (IQR $38,190-$94,906) among those without skin cancer, with the difference predominantly driven by more doctors' visits, and higher pathology and procedural costs. Healthcare costs overall were also significantly higher in those treated for skin cancers (cost ratio 1.50, 95%CI: 1.09, 2.06) after adjusting for underlying lung disease, age on enrollment, years of immunosuppression, and the number of treated comorbidities. CONCLUSIONS: Skin cancer care is a small component of overall costs. While all lung transplant recipients with comorbidities have substantial healthcare costs, those affected by skin cancer incur even greater healthcare costs than those without, highlighting the importance of skin cancer control.

Bloodstream Infection and Colorectal Cancer Risk in Queensland Australia, 2000-2019.

BACKGROUND: Bloodstream infections may occur as a complication of colorectal cancer or be a marker for its occult presence. The objectives of this study were to quantify the overall and etiology-specific risks for incident colorectal cancer-associated bloodstream infection. METHODS: Population-based surveillance for community-onset bloodstream infection was conducted among adults aged 20 years and older in Queensland, Australia between 2000 and 2019. Statewide databases were used to identify patients with incident colorectal cancer and collect clinical and outcome information. RESULTS: After exclusion of 1794 patients with prior colorectal cancer, a cohort of 84,754 patients was assembled, of which 1030 had colorectal cancer-associated bloodstream infection and 83,724 had no colorectal cancer. Bloodstream infection was associated with a 16-fold annualized increased risk for diagnosis of colorectal cancer (incidence rate ratio 16.1; 95% confidence interval [CI], 15.1-17.1) in the adult population. Patients who had colorectal cancer-associated bloodstream infection were more likely to be older and male, have hospital-onset and polymicrobial infections, and have fewer non-cancer-related comorbidities. The organisms associated with highest risk for colorectal cancer included Clostridium species (relative risk [RR] 6.1; 95% CI, 4.7-7.9); especially C. septicum (RR 25.0; 95% CI, 16.9-35.7), Bacteroides species (RR 4.7; 95% CI, 3.8-5.8); especially B. ovatus (RR 11.8; 95% CI, 2.4-34.5), Gemella species (RR 6.5; 95% CI, 3.0-12.5), Streptococcus bovis group (RR 4.4; 95% CI, 2.7-6.8); especially S. infantarius subsp. coli (RR 10.6; 95% CI, 2.9-27.3), Streptococcus anginosus group (RR 1.9; 95% CI, 1.3-2.7), and Enterococcus species (RR 1.4; 95% CI, 1.1-1.8). CONCLUSION: Although much attention has been afforded to S. bovis group over the past decades, there are many other isolates associated with higher risk for colorectal cancer-associated bloodstream infections.

Rethinking cancer prevention for migrant populations in Queensland, Australia: A retrospective cohort study comparing culturally and linguistically diverse and Australian born cancer patients.

International evidence suggests migrants experience significant cancer inequities. In Australia, there is limited information assessing equity for Culturally and Linguistically Diverse (CALD) migrant populations, particularly in cancer prevention. Cancer inequities are often explained by individualistic, behavioural risk factors; however, scarce research has quantified or compared engagement with cancer prevention strategies. A retrospective cohort study was conducted utilising the electronic medical records at a major, quaternary hospital. Individuals were screened for inclusion in the CALD migrant or Australian born cohort. Bivariate analysis and multivariate logistic regression were used to compare the cohorts. 523 individuals were followed (22% were CALD migrants and 78% Australian born). Results displayed that CALD migrants made up a larger proportion of infection-related cancers. Compared to Australian born, CALD migrants had lower odds of having a smoking history (OR = 0.63, CI 0.401-0.972); higher odds of 'never drinking' (OR = 3.4, CI 1.473-7.905); and lower odds of having breast cancers detected via screening (OR = 6.493, CI 2.429-17.359). Findings affirm CALD migrants' low participation in screening services but refute the assertion that CALD migrants are less engaged in positive health practices, enabling cancer prevention. Future research should examine social, environmental, and institutional processes and move beyond individualistic, behavioural explanations for cancer inequities.