Health map for HealthGap: Defining a geographical catchment to examine cardiovascular risk in Victoria, Australia.

The HealthGap study aimed to understand cardiovascular risk among Indigenous Australians in Victoria using linked administrative data. A key challenge was differing spatial coverages of sources: state-level data for risk factors but cardiovascular outcomes for three hospitals. Catchments were defined based on hospital postcodes to estimate denominator populations for risk modelling: first- and second-order neighbours, and spatial distribution of outcomes ('spatial event distribution'). Catchment coverage was assessed through proportions of patients presenting to study hospitals from catchment postcodes. The spatial event distribution performed best, capturing 82% events overall (first-order:40%; second-order:64%) and 65% Indigenous (27% and 45%). No approach excluded proximal non-study hospitals. Spatial event distributions could help define denominator populations when geographic information on outcome data is available but may not avoid potential misclassification.

Can flash glucose monitoring improve glucose management for Aboriginal and Torres Strait Islander peoples with type 2 diabetes? A protocol for a randomised controlled trial.

BACKGROUND: Aboriginal and Torres Strait Islander peoples are disproportionately impacted by type 2 diabetes. Continuous glucose monitoring (CGM) technology (such as Abbott Freestyle Libre 2, previously referred to as Flash Glucose Monitoring) offers real-time glucose monitoring that is convenient and easy to use compared to self-monitoring of blood glucose (SMBG). However, this technology's use is neither widespread nor subsidised for Aboriginal and Torres Strait Islander peoples with type 2 diabetes. Building on existing collaborations with a national network of Aboriginal and Torres Strait Islander communities, this randomised controlled trial aims to assess the effect of CGM compared to SMBG on (i) haemoglobin A1c (HbA1c), (ii) achieving blood glucose targets, (iii) reducing hypoglycaemic episodes and (iv) cost-effective healthcare in an Aboriginal and Torres Strait Islander people health setting. METHODS: This is a non-masked, parallel-group, two-arm, individually randomised, controlled trial (ACTRN12621000753853). Aboriginal and Torres Strait Islander adults with type 2 diabetes on injectable therapy and HbA1c ≥ 7.5% (n = 350) will be randomised (1:1) to CGM or SMBG for 6 months. The primary outcome is change in HbA1c level from baseline to 6 months. Secondary outcomes include (i) CGM-derived metrics, (ii) frequency of hypoglycaemic episodes, (iii) health-related quality of life and (iv) incremental cost per quality-adjusted life year gained associated with the CGM compared to SMBG. Clinical trial sites include Aboriginal Community Controlled Organisations, Aboriginal Medical Services, primary care centres and tertiary hospitals across urban, rural, regional and remote Australia. DISCUSSION: The trial will assess the effect of CGM compared to SMBG on HbA1c for Aboriginal and Torres Strait Islander people with type 2 diabetes in Australia. This trial could have long-term benefits in improving diabetes management and providing evidence for funding of CGM in this population. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN12621000753853. Registered on 15th June 2021.

Eggsurance? A randomized controlled trial of a decision aid for elective egg freezing.

STUDY QUESTION: Does a purpose-designed Decision Aid for women considering elective egg freezing (EEF) impact decisional conflict and other decision-related outcomes? SUMMARY ANSWER: The Decision Aid reduces decisional conflict, prepares women for decision-making, and does not cause distress. WHAT IS ALREADY KNOWN: Elective egg-freezing decisions are complex, with 78% of women reporting high decisional conflict. Decision Aids are used to support complex health decisions. We developed an online Decision Aid for women considering EEF and demonstrated that it was acceptable and useful in Phase 1 testing. STUDY DESIGN, SIZE, DURATION: A single-blind, two-arm parallel group randomized controlled trial was carried out. Target sample size was 286 participants. Randomization was 1:1 to the control (existing website information) or intervention (Decision Aid plus existing website information) group and stratified by Australian state/territory and prior IVF specialist consultation. Participants were recruited between September 2020 and March 2021 with outcomes recorded over 12 months. Data were collected using online surveys and data collection was completed in March 2022. PARTICIPANTS/MATERIALS, SETTING, METHODS: Females aged ≥18 years, living in Australia, considering EEF, proficient in English, and with internet access were recruited using multiple methods including social media posts, Google advertising, newsletter/noticeboard posts, and fertility clinic promotion. After completing the baseline survey, participants were emailed their allocated website link(s). Follow-up surveys were sent at 6 and 12 months. Primary outcome was decisional conflict (Decisional Conflict Scale). Other outcomes included distress (Depression Anxiety and Stress Scale), knowledge about egg freezing and female age-related infertility (study-specific measure), whether a decision was made, preparedness to decide about egg freezing (Preparation for Decision-Making Scale), informed choice (Multi-Dimensional Measure of Informed Choice), and decision regret (Decision Regret Scale). MAIN RESULTS AND THE ROLE OF CHANCE: Overall, 306 participants (mean age 30 years; SD: 5.2) were randomized (intervention n = 150, control n = 156). Decisional Conflict Scale scores were significantly lower at 12 months (mean score difference: -6.99 [95% CI: -12.96, -1.02], P = 0.022) for the intervention versus control group after adjusting for baseline decisional conflict. At 6 months, the intervention group felt significantly more prepared to decide about EEF than the control (mean score difference: 9.22 [95% CI: 2.35, 16.08], P = 0.009). At 12 months, no group differences were observed in distress (mean score difference: 0.61 [95% CI: -3.72, 4.93], P = 0.783), knowledge (mean score difference: 0.23 [95% CI: -0.21, 0.66], P = 0.309), or whether a decision was made (relative risk: 1.21 [95% CI: 0.90, 1.64], P = 0.212). No group differences were found in informed choice (relative risk: 1.00 [95% CI: 0.81, 1.25], P = 0.983) or decision regret (median score difference: -5.00 [95% CI: -15.30, 5.30], P = 0.337) amongst participants who had decided about EEF by 12 months (intervention n = 48, control n = 45). LIMITATIONS, REASONS FOR CAUTION: Unknown participant uptake and potential sampling bias due to the recruitment methods used and restrictions caused by the coronavirus disease 2019 pandemic. Some outcomes had small sample sizes limiting the inferences made. The use of study-specific or adapted validated measures may impact the reliability of some results. WIDER IMPLICATIONS OF THE FINDINGS: This is the first randomized controlled trial to evaluate a Decision Aid for EEF. The Decision Aid reduced decisional conflict and improved women's preparation for decision making. The tool will be made publicly available and can be tailored for international use. STUDY FUNDING/COMPETING INTEREST(S): The Decision Aid was developed with funding from the Royal Women's Hospital Foundation and McBain Family Trust. The study was funded by a National Health and Medical Research Council (NHMRC) Project Grant APP1163202, awarded to M. Hickey, M. Peate, R.J. Norman, and R. Hart (2019-2021). S.S., M.P., D.K., and S.B. were supported by the NHMRC Project Grant APP1163202 to perform this work. R.H. is Medical Director of Fertility Specialists of Western Australia and National Medical Director of City Fertility. He has received grants from MSD, Merck-Serono, and Ferring Pharmaceuticals unrelated to this study and is a shareholder of CHA-SMG. R.L. is Director of Women's Health Melbourne (Medical Practice), ANZSREI Executive Secretary (Honorary), RANZCOG CREI Subspecialty Committee Member (Honorary), and a Fertility Specialist at Life Fertility Clinic Melbourne and Royal Women's Hospital Public Fertility Service. R.A.A. has received grants from Ferring Pharmaceuticals unrelated to this study. M.H., K.H., and R.J.N. have no conflicts to declare. TRIAL REGISTRATION NUMBER: ACTRN12620001032943. TRIAL REGISTRATION DATE: 11 August 2020. DATE OF FIRST PATIENT'S ENROLMENT: 29 September 2020.

Corrigendum to "RPN (Radius, Position of tumour, iNvasion of renal sinus) Classification and Nephrometry Scoring System: An Internationally Developed Clinical Classification To Describe the Surgical Difficulty for Renal Masses for Which Robotic Partial Nephrectomy Is Planned" [Eur. Urol. Open Sci. 54 (2023) 33-42].

[This corrects the article DOI: 10.1016/j.euros.2023.05.007.].

RPN (Radius, Position of tumour, iNvasion of renal sinus) Classification and Nephrometry Scoring System: An Internationally Developed Clinical Classification To Describe the Surgical Difficulty for Renal Masses for Which Robotic Partial Nephrectomy Is Planned.

Background: The surgical difficulty of partial nephrectomy (PN) varies depending on the operative approach. Existing nephrometry classifications for assessment of surgical difficulty are not specific to the robotic approach. Objective: To develop an international robotic-specific classification of renal masses for preoperative assessment of surgical difficulty of robotic PN. Design setting and participants: The RPN classification (Radius, Position of tumour, iNvasion of renal sinus) considers three parameters: tumour size, tumour position, and invasion of the renal sinus. In an international survey, 45 experienced robotic surgeons independently reviewed de-identified computed tomography images of 144 patients with renal tumours to assess surgical difficulty of robot-assisted PN using a 10-point Likert scale. A separate data set of 248 patients was used for external validation. Outcome measurements and statistical analysis: Multiple linear regression was conducted and a risk score was developed after rounding the regression coefficients. The RPN classification was correlated with the surgical difficulty score derived from the international survey. External validation was performed using a retrospective cohort of 248 patients. RPN classification was also compared with the RENAL (Radius; Exophytic/endophytic; Nearness; Anterior/posterior; Location), PADUA (Preoperative Aspects and Dimensions Used for Anatomic), and SPARE (Simplified PADUA REnal) scoring systems. Results and limitation: The median tumour size was 38 mm (interquartile range 27-49). The majority (81%) of renal tumours were peripheral, followed by hilar (12%) and central (7.6%) locations. Noninvasive and semi-invasive tumours accounted for 37% each, and 26% of the tumours were invasive. The mean surgical difficulty score was 5.2 (standard deviation 1.9). Linear regression analysis indicated that the RPN classification correlated very well with the surgical difficulty score (R2 = 0.80). The R2 values for the other scoring systems were: 0.66 for RENAL, 0.75 for PADUA, and 0.70 for SPARE. In an external validation cohort, the performance of all four classification systems in predicting perioperative outcomes was similar, with low R2 values. Conclusions: The proposed RPN classification is the first nephrometry system to assess the surgical difficulty of renal masses for which robot-assisted PN is planned, and is a useful tool to assist in surgical planning, training and data reporting. Patient summary: We describe a simple classification system to help urologists in preoperative assessment of the difficulty of robotic surgery for partial kidney removal for kidney tumours.

Socio-demographic correlates of unhealthy lifestyle in Ethiopia: a secondary analysis of a national survey.

BACKGROUND: Multiple lifestyle risk factors exhibit a stronger association with non-communicable diseases (NCDs) compared to a single factor, emphasizing the necessity of considering them collectively. By integrating these major lifestyle risk factors, we can identify individuals with an overall unhealthy lifestyle, which facilitates the provision of targeted interventions for those at significant risk of NCDs. The aim of this study was to evaluate the socio-demographic correlates of unhealthy lifestyles among adolescents and adults in Ethiopia. METHODS: A national cross-sectional survey, based on the World Health Organization's NCD STEPS instruments, was conducted in Ethiopia. The survey, carried out in 2015, involved a total of 9,800 participants aged between 15 and 69 years. Lifestyle health scores, ranging from 0 (most healthy) to 5 (most unhealthy), were derived considering factors such as daily fruit and vegetable consumption, smoking status, prevalence of overweight/obesity, alcohol intake, and levels of physical activity. An unhealthy lifestyle was defined as the co-occurrence of three or more unhealthy behaviors. To determine the association of socio-demographic factors with unhealthy lifestyles, multivariable logistic regression models were utilized, adjusting for metabolic factors, specifically diabetes and high blood pressure. RESULTS: Approximately one in eight participants (16.7%) exhibited three or more unhealthy lifestyle behaviors, which included low fruit/vegetable consumption (98.2%), tobacco use (5.4%), excessive alcohol intake (15%), inadequate physical activity (66%), and obesity (2.3%). Factors such as male sex, urban residency, older age, being married or in a common-law relationship, and a higher income were associated with these unhealthy lifestyles. On the other hand, a higher educational status was associated with lower odds of these behaviors. CONCLUSION: In our analysis, we observed a higher prevalence of concurrent unhealthy lifestyles. Socio-demographic characteristics, such as sex, age, marital status, residence, income, and education, were found to correlate with individuals' lifestyles. Consequently, tailored interventions are imperative to mitigate the burden of unhealthy lifestyles in Ethiopia.

Temporal trends in the prevalence and incidence of depression and the interplay of comorbidities in patients with young- and usual-onset type 2 diabetes from the USA and the UK.

AIMS/HYPOTHESIS: We aimed to investigate the prevalence and incidence of depression, and the interplay of cardiometabolic comorbidities, in the differentiation of depression risk between young-onset diabetes (diagnosis at age <40 years) and usual-onset diabetes (diagnosis at age ≥40 years). METHODS: Using electronic medical records from the UK and USA, retrospective cohorts of adults with incident type 2 diabetes diagnosed between 2006 and 2017 were examined. Trends in the prevalence and incidence of depression, and risk of developing depression, in participants with young-onset type 2 diabetes compared with usual-onset type 2 diabetes were assessed separately by sex and comorbidity status. RESULTS: In total 230,932/1,143,122 people with type 2 diabetes from the UK/USA (mean age 58/60 years, proportion of men 57%/46%) were examined. The prevalence of depression in the UK/USA increased from 29% (95% CI 28, 30)/22% (95% CI 21, 23) in 2006 to 43% (95% CI 42, 44)/29% (95% CI 28, 29) in 2017, with the prevalence being similar across all age groups. A similar increasing trend was observed for incidence rates. In the UK, compared with people aged ≥50 years with or without comorbidity, 18-39-year-old men and women had 23-57% and 20-55% significantly higher risks of depression, respectively. In the USA, compared with those aged ≥60 years with or without comorbidity, 18-39-year-old men and women had 5-17% and 8-37% significantly higher risks of depression, respectively. CONCLUSIONS/INTERPRETATION: Depression risk has been increasing in people with incident type 2 diabetes in the UK and USA, particularly among those with young-onset type 2 diabetes, irrespective of other comorbidities. This suggests that proactive mental health assessment from the time of type 2 diabetes diagnosis in primary care is essential for effective clinical management of people with type 2 diabetes.

Is there a relationship between intensity of occupational therapy and functional outcomes in hospitalised older patients? A prospective cohort study.

INTRODUCTION: Delivering high-intensity occupational therapy can improve functional outcomes for patients and reduce length of stay. However, there is little published evidence of this in the aged rehabilitation setting. This study aims to explore the association between intensity of occupational therapy interventions and functional outcomes in geriatric rehabilitation inpatients. METHODS: A prospective cohort study was conducted with adult inpatients admitted to a geriatric rehabilitation program. The intervention was the intensity of occupational therapy measured as high (≥30 minutes per day) versus low (<30 minutes per day). The primary outcome measured was change in functional performance, defined as a minimum of half a point improvement in the Katz Index of Activities of Daily Living (ADL) and/or the Lawton and Brody Scale of Instrumental ADL (IADL) at admission to rehabilitation, discharge and 3months post-discharge. RESULTS: A total of 693 patients were included in the analysis. The mean age was 82.2 years (standard deviation [SD] = 7.9), 57% were females, and 64% had cognitive impairment. Patients (n = 210) who received greater than or equal to 30 minutes of occupational therapy daily were more likely to have clinically relevant functional improvements.; for both ADL (odds ratio [OR] = 1.87, 95% confidence interval [CI]: 1.24-2.83) and IADL (OR = 3.00, 95% CI: 1.96-4.61), after adjusting for age, sex, severity of function (ADL ≤ 2) at admission, frailty and cognitive impairment. Improvements in ADL and IADL were maintained for at least 3 months following discharge. CONCLUSION: This study found that geriatric rehabilitation inpatients who received higher intensity of occupational therapy interventions were more likely to functionally improve than those who received lower intensity. Further research is required to determine if other factors, such as therapy type, influence functional outcomes.

COVID-19 and mental health: Impact on symptom burden in older people living with mental illness in residential aged care.

OBJECTIVES: COVID-19-related restrictions for residential aged care (RAC) have been significant. However, the mental health impacts for residents already living with mental illness remain poorly understood. In this study, we examined change in mental health symptom burden for this group and potential associations with clinical and contextual factors. METHODS: We retrospectively reviewed medical records of patients of a specialist aged mental health clinical service for RAC. Change in symptoms (measured by the Neuropsychiatric Inventory, Nursing Home version [NPI-NH]) between pre-pandemic and two pandemic timepoints were analysed using Wilcoxon signed-rank tests. Potential associations with baseline diagnosis or severity of 'lockdown' restrictions in RAC were assessed using linear regression. RESULTS: Data from 91 patient files were included. The median NPI-NH score slightly increased during wave one (baseline median NPI-NH score = 17.0 [interquartile range, IQR: 10.0-27.0]; wave one median = 19.0, IQR: 8.0-30.0) and fell during wave two (Median: 15.5, IQR: 7.0-28.0), but changes were not statistically significant (all p-values >0.05). Adjusting for age and gender, an association between neurocognitive disorder diagnosis and NPI-NH score during wave one was statistically but not clinically significant (p = 0.046). No other significant associations were identified. CONCLUSIONS: Accounting for pre-pandemic symptoms, we found no clinically relevant evidence of worsening mental health during COVID-19 for a group of older people living with mental illness in RAC. This adds to evidence of relatively stable mental health in older people during the pandemic. Research and policy should consider underpinning mechanisms and emphasise patient- and carer-centred interventions.

Efficacy of Flash Glucose Monitoring in Type 1 and Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Objective: Flash glucose monitoring (FlashGM) is a sensor-based technology that displays glucose readings and trends to people with diabetes. In this meta-analysis, we assessed the effect of FlashGM on glycaemic outcomes including HbA1c, time in range, frequency of hypoglycaemic episodes and time in hypo/hyperglycaemia compared to self-monitoring of blood glucose, using data from randomised controlled trials. Methods: A systematic search was conducted on MEDLINE, EMBASE and CENTRAL for articles published between 2014 and 2021. We selected randomised controlled trials comparing flash glucose monitoring to self-monitoring of blood glucose that reported change in HbA1c and at least one other glycaemic outcome in adults with type 1 or type 2 diabetes. Two independent reviewers extracted data from each study using a piloted form. Meta-analyses using a random-effects model was conducted to obtain a pooled estimate of the treatment effect. Heterogeneity was assessed using forest plots and the I2 statistic. Results: We identified 5 randomised controlled trials lasting 10 - 24 weeks and involving 719 participants. Flash glucose monitoring did not lead to a significant reduction in HbA1c. However, it resulted in increased time in range (mean difference 1.16 hr, 95% CI 0.13 to 2.19, I2 = 71.7%) and decreased frequency of hypoglycaemic episodes (mean difference -0.28 episodes per 24 hours, 95% CI -0.53 to -0.04, I2 = 71.4%). Conclusions: Flash glucose monitoring did not lead to a significant reduction in HbA1c compared to self-monitoring of blood glucose, however, it improved glycaemic management through increased time in range and decreased frequency of hypoglycaemic episodes. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier PROSPERO (CRD42020165688).

Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis.

OBJECTIVES: This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia. DESIGN AND SETTING: Nationwide cross-sectional survey in Ethiopia combined with georeferenced ecological level data from publicly available sources. PARTICIPANTS: 9801 participants aged between 15 and 69 years. PRIMARY OUTCOME MEASURES: Prevalence of hypertension and diabetes were collected using the WHO's STEPS survey approach. Bayesian model-based geostatistical techniques were used to estimate hypertension and diabetes prevalence at national, regional and pixel levels (1×1 km2) with corresponding 95% credible intervals (95% CrIs). RESULTS: The national prevalence was 19.2% (95% CI: 18.4 to 20.0) for hypertension and 2.8% (95% CI: 2.4 to 3.1) for diabetes. Substantial variation was observed in the prevalence of these diseases at subnational levels, with the highest prevalence of hypertension observed in Addis Ababa (30.6%) and diabetes in Somali region (8.7%). Spatial overlap of high hypertension and diabetes prevalence was observed in some regions such as the Southern Nations, Nationalities and People's region and Addis Ababa. Population density (number of people/km2) was positively associated with the prevalence of hypertension (ß: 0.015; 95% CrI: 0.003-0.027) and diabetes (ß: 0.046; 95% CrI: 0.020-0.069); whereas altitude in kilometres was negatively associated with the prevalence of diabetes (ß: -0.374; 95% CrI: -0.711 to -0.044). CONCLUSIONS: Spatial clustering of hypertension and diabetes was observed at subnational and local levels in Ethiopia, which was significantly associated with population density and altitude. The variation at the subnational level illustrates the need to include environmental drivers in future NCDs burden estimation. Thus, targeted and integrated interventions in high-risk areas might reduce the burden of hypertension and diabetes in Ethiopia.

Threat of COVID-19 impacting on a quaternary healthcare service: a retrospective cohort study of administrative data.

OBJECTIVES: The threat of a pandemic, over and above the disease itself, may have significant and broad effects on a healthcare system. We aimed to describe the impact of the SARS-CoV-2 pandemic (during a relatively low transmission period) and associated societal restrictions on presentations, admissions and outpatient visits. DESIGN: We compared hospital activity in 2020 with the preceding 5 years, 2015-2019, using a retrospective cohort study design. SETTING: Quaternary hospital in Melbourne, Australia. PARTICIPANTS: Emergency department presentations, hospital admissions and outpatient visits from 1 January 2015 to 30 June 2020, n=896 934 episodes of care. INTERVENTION: In Australia, the initial peak COVID-19 phase was March-April. PRIMARY AND SECONDARY OUTCOME MEASURES: Separate linear regression models were fitted to estimate the impact of the pandemic on the number, type and severity of emergency presentations, hospital admissions and outpatient visits. RESULTS: During the peak COVID-19 phase (March and April 2020), there were marked reductions in emergency presentations (10 389 observed vs 14 678 expected; 29% reduction; p<0.05) and hospital admissions (5972 observed vs 8368 expected; 28% reduction; p<0.05). Stroke (114 observed vs 177 expected; 35% reduction; p<0.05) and trauma (1336 observed vs 1764 expected; 24% reduction; p<0.05) presentations decreased; acute myocardial infarctions were unchanged. There was an increase in the proportion of hospital admissions requiring intensive care (7.0% observed vs 6.0% expected; p<0.05) or resulting in death (2.2% observed vs 1.5% expected; p<0.05). Outpatient attendances remained similar (30 267 observed vs 31 980 expected; 5% reduction; not significant) but telephone/telehealth consultations increased from 2.5% to 45% (p<0.05) of total consultations. CONCLUSIONS: Although case numbers of COVID-19 were relatively low in Australia during the first 6 months of 2020, the impact on hospital activity was profound.

COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death.

BACKGROUND: COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. METHODS: Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. RESULTS: This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples' Region. The risk of COVID-19-related death is high in the country's border regions, where public health preparedness for responding to COVID-19 is limited. CONCLUSION: This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

OBJECTIVE: The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. DESIGN: A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa. DATA SOURCES: Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv. ELIGIBILITY CRITERIA: Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020. DATA EXTRACTION AND SYNTHESIS: We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form. RESULTS: Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths. CONCLUSIONS: Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.

Temporal trends in co-morbidities and cardiometabolic risk factors at the time of type 2 diabetes diagnosis in the UK.

AIM: To evaluate temporal patterns in co-morbidities, cardiometabolic risk factors and a high atherosclerotic cardiovascular disease (ASCVD) risk population at type 2 diabetes (T2D) diagnosis by age groups and sex. MATERIALS AND METHODS: From the UK primary care database, 248,619 people with a new diagnosis of T2D during 2005-2016 were identified. Among people without ASCVD, high ASCVD risk was defined as two or more of current smoker, grade 2+ obesity, hypertension, dyslipidaemia or microvascular disease. Cardiometabolic multimorbidity (CMM) was defined as two or more of cardiovascular disease, microvascular disease, hypertension, dyslipidaemia, grade 2+ obesity or cancer. Temporal patterns in the distribution of cardiometabolic risk factors were evaluated. RESULTS: While the prevalence of ASCVD was stable over time (approximately 18%), 50% were identified to have a high ASCVD risk (26% and 38% in the 18-39 and 40-49 years age groups, respectively), with an increasing trend across all age groups. Overall, 51% had CMM at diagnosis, increasing during 2005-2016 for the 18-39 years age group by 14%-17%, for the 40-49 years age group by 27%-33%, for the 50-59 years age group by 41%-50%, for the 60-69 years age group by 56%-65%, and for the 70-79 years age group by 65%-80%. People with young-onset T2D had significantly higher HbA1c, body mass index and lipids at diagnosis (all p < .01). The proportions with an HbA1c of 7.5% or higher in the 18-39 and 40-49 years age groups were 58% and 54%, respectively, significantly and consistently higher over the last decade compared with those aged 50 years or older, with males having higher proportions of 15-26 and 10-18 percentage points, respectively, compared with females. CONCLUSIONS: CMM and high ASCVD risk have been increasing consistently across all age groups and in both sex, in particular CMM in those aged younger than 50 years. Our findings indicate that the European Society of Cardiology-European Association for the Study of Diabetes recommendations need to change to consider people with young-onset T2D as a high-risk group, as recommended in the Primary Care Diabetes Europe position statement.

Can patterns of medication use explain the increasing incidence of end stage kidney disease among people with diabetes in Australia?

AIMS: Recently, an increase in the incidence of end-stage kidney disease (ESKD) among people with type 2 diabetes (T2D) aged < 50 years and ≥ 80 years has been observed in Australia. We examined whether patterns of medication use are likely to explain these trends. METHODS: Among National Diabetes Services Scheme registrants, we determined the annual prevalence of dispensed glucose-lowering (GL), blood-pressure-lowering (BPL) and lipid-lowering (LL) agents with ≥3, ≥6 or ≥9 dispensings per year from 2003 to 2013. Relative changes in the prevalence were determined via Poisson regression. RESULTS: During 2003-2013, the percentage of people with T2D dispensed GL, BPL and LL agents with ≥3, ≥6 or ≥9 dispensings per year increased in all age-groups. From 2003 to 2013, GL, BPL and LL agents use with ≥3 dispensings per year increased by 17%, 8.2%, and 53%, respectively. The use of renin-angiotensin-aldosterone-system-blockers over time also increased but more slowly in those aged <60 years compared to those aged ≥80 years (6% vs 18%, p < 0.001). CONCLUSIONS: Changes in medication use are not likely to explain increasing incidence of ESKD in younger Australians with T2D. Studies are needed to provide insights into the major drivers of the rising incidence of ESKD in this population.

Treatment modalities and risk of adverse events associated with biologic therapy: A 10-year observational review of the Australasian Psoriasis Registry.

BACKGROUND: Psoriasis is a chronic inflammatory disease affecting ~2-3% of the Australasian population. Therapeutic options include topical agents, phototherapy, systemic immunomodulators and biologic agents. Biologics present an acceptable short- and medium-term safety profile, derived mainly from randomised controlled trials (RCTs) and, however, may not represent real-world rates of adverse events (AEs). METHODS: A retrospective, observational study of patients enrolled in The Australasian Psoriasis Registry from April 2008 to October 2018 was conducted. Data were collected from 104 sites in Australia and New Zealand. Patient characteristics, treatments and AE data were collected. AEs were classified by MedDRA System events. RESULTS: 2094 patients were included (3765 patient-treatments), comprising; 1110 phototherapy, 1280 systemic and 1375 biologic therapy patient-treatments. Treatment arms were not mutually exclusive. The mean ± SD from date of diagnosis of psoriasis to commencement of biologic therapy was 8.9 ± 12.3 years. Methotrexate had the longest exposure time (3740.3 patient-years), and ustekinumab had the longest median (95% CI) time on treatment, 4.3 years (2.2, 6.6). AE differences on biologic treatment were present between patients who would have been eligible or ineligible for RCTs. Approximately 29% of registry patients would have been excluded from clinical trials enrolment. Patients ineligible for RCTs had increased adjusted hazard ratios (95% CI) of: infections and infestations (2.3, 1.7-3.1; P < 0.001), cardiac (8.2, 3.5-25.6; P < 0.001), gastrointestinal (3.5, 1.52-8.0; P < 0.001), hepatobiliary (5.6 1.7-19.1; P < 0.001), psychiatric (4.7, 1.5-14.1; P = 0.006) and eye disorders (4.8 1.5-15.6; P = 0.008), compared to those eligible for RCTs. Incidence rates in the trial eligible patients were similar to those reported from RCT rates. CONCLUSIONS: This study establishes treatment modalities in use for severe psoriasis and the clinical rates of AEs associated with biologic therapy.

A systematic review of trends in all-cause mortality among people with diabetes.

AIMS/HYPOTHESIS: We examined all-cause mortality trends in people with diabetes and compared them with trends among people without diabetes. METHODS: MEDLINE, EMBASE and CINAHL databases were searched for observational studies published from 1980 to 2019 reporting all-cause mortality rates across ≥2 time periods in people with diabetes. Mortality trends were examined by ethnicity, age and sex within comparable calendar periods. RESULTS: Of 30,295 abstracts screened, 35 studies were included, providing data on 69 separate ethnic-specific or sex-specific populations with diabetes since 1970. Overall, 43% (3/7), 53% (10/19) and 74% (32/43) of the populations studied had decreasing trends in all-cause mortality rates in people with diabetes in 1970-1989, 1990-1999 and 2000-2016, respectively. In 1990-1999 and 2000-2016, mortality rates declined in 75% (9/12) and 78% (28/36) of predominantly Europid populations, and in 14% (1/7) and 57% (4/7) of non-Europid populations, respectively. In 2000-2016, mortality rates declined in 33% (4/12), 65% (11/17), 88% (7/8) and 76% (16/21) of populations aged <40, 40-54, 55-69 and ≥70 years, respectively. Among the 33 populations with separate mortality data for those with and without diabetes, 60% (6/10) of the populations with diabetes in 1990-1999 and 58% (11/19) in 2000-2016 had an annual reduction in mortality rates that was similar to or greater than in those without diabetes. CONCLUSIONS/INTERPRETATION: All-cause mortality has declined in the majority of predominantly Europid populations with diabetes since 2000, and the magnitude of annual mortality reduction matched or exceeded that observed in people without diabetes in nearly 60% of populations. Patterns of diabetes mortality remain uncertain in younger age groups and non-Europid populations. REGISTRATION: PROSPERO registration ID CRD42019095974. Graphical abstract.

Temporal Trend in Young-Onset Type 2 Diabetes-Macrovascular and Mortality Risk: Study of U.K. Primary Care Electronic Medical Records.

OBJECTIVE: To evaluate temporal prevalence trend, cardiometabolic risk factors, and the risk of atherosclerotic cardiovascular disease (ASCVD) and all-cause mortality (ACM) in incident young- and usual-onset type 2 diabetes. RESEARCH DESIGN AND METHODS: From the U.K. primary care database, 370,854 people with a new diagnosis of type 2 diabetes from 2000 to 2017 were identified. Analyses were conducted by age-group (18-39, 40-49, 50-59, 60-69, 70-79 years) and high-/low-risk status without history of ASCVD at diagnosis, with subjects with two or more of current smoking, high systolic blood pressure, high LDL cholesterol (LDL-C), or chronic kidney disease classified as high risk. RESULTS: The proportion of people aged <50 years at diagnosis increased during 2000-2010 and then stabilized. The incidence rates of ASCVD and ACM declined in people aged ≥50 years but did not decrease in people <50 years. Compared with people aged ≥50 years, those aged 18-39 years at diagnosis had a higher proportion of obesity (71% obese) and higher HbA1c (8.6%), and 71% had high LDL-C, while only 18% were on cardioprotective therapy. Although 2% in this age-group had ASCVD at diagnosis, 23% were identified as high risk. In the 18-39-year age-group, the adjusted average years to ASCVD/ACM in high-risk individuals (9.1 years [95% CI 8.2-10.0]/9.3 years [8.1-10.4]) were similar to the years in those with low risk (10.0 years [9.5-10.5]/10.5 years [9.7-11.2]). However, individuals aged ≥50 years with high risk were likely to experience an ASCVD event 1.5-2 years earlier and death 1.1-1.5 years earlier compared with low-risk groups (P < 0.01). CONCLUSIONS: Unlike usual-onset, young-onset type 2 diabetes has similar cardiovascular and mortality risk irrespective of cardiometabolic risk factor status at diagnosis. The guidelines on the management of young-onset type 2 diabetes for intensive risk factor management and cardioprotective therapies need to be urgently reevaluated through prospective studies.