9 research outputs found

    Effect of inhaled corticosteroid particle size on asthma efficacy and safety outcomes: a systematic literature review and meta-analysis

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    BACKGROUND: Inhaled corticosteroids (ICS) are the primary treatment for persistent asthma. Currently available ICS have differing particle size due to both formulation and propellant, and it has been postulated that this may impact patient outcomes. This structured literature review and meta-analysis compared the effect of small and standard particle size ICS on lung function, symptoms, rescue use (when available) and safety in patients with asthma as assessed in head-to-head randomized controlled trials (RCTs). METHODS: A systematic literature search of MEDLINE was performed to identify RCTs (1998-2014) evaluating standard size (fluticasone propionate-containing medications) versus small particle size ICS medication in adults and children with asthma. Efficacy outcomes included forced expiratory volume in 1 s (FEV1), morning peak expiratory flow (PEF), symptom scores, % predicted forced expiratory flow between 25 and 75% of forced vital capacity (FEF25-75%), and rescue medication use. Safety outcomes were also evaluated when available. RESULTS: Twenty-three independent trials that met the eligibility criteria were identified. Benefit-risk plots did not demonstrate any clinically meaningful differences across the five efficacy endpoints considered and no appreciable differences were noted for most safety endpoints. Meta-analysis results, using a random-effects model, demonstrated no significant difference between standard and small size particle ICS medications in terms of effects on mean change from baseline FEV1 (L) (-0.011, 95% confidence interval [CI]: -0.037, 0.014 [N = 3524]), morning PEF (L/min) (medium/low doses: -3.874, 95% CI: -10.915, 3.166 [N = 1911]; high/high-medium doses: 5.551, 95% CI: -1.948, 13.049 [N = 749]) and FEF25-75% predicted (-2.418, 95% CI: -6.400; 1.564 [N = 115]). CONCLUSIONS: Based on the available literature, no clinically significant differences in efficacy or safety were observed comparing small and standard particle size ICS medications for the treatment of asthma. TRIAL REGISTRATION: GSK Clinical Study Register No: 202012

    Psychological therapies for depression and cardiovascular risk: evidence from national healthcare records in England

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    Aims: People with depression are up to 72% more at risk to develop cardiovascular disease (CVD) in their lifetime. Evidence-based psychotherapies are first-line interventions for the treatment of depression and are delivered nationally in England through the National Health Service via the Improving Access to Psychological Therapy (IAPT) primary care programme. It is currently unknown whether positive therapy outcomes may be associated with cardiovascular risk reduction. This study aimed to examine the association between psychotherapy outcomes for depression and incident CVD. Methods and results: A cohort of 636 955 individuals who have completed a course of psychotherapy was built from linked electronic healthcare record databases of national coverage in England: the national IAPT database, the Hospital Episode Statistics (HES) database, and the HES–ONS (Office of National Statistics) mortality database. Multivariable Cox models adjusting for clinical and demographic covariates were run to estimate the association between reliable improvement from depression and the risk of subsequent incidence of cardiovascular events. After a median follow-up of 3.1 years, reliable improvement from depression symptoms was associated with a lower risk of new onset of any CVD [hazard ratio (HR): 0.88, 95% confidence interval (CI): 0.86, 0.89], coronary heart disease (HR: 0.89, 95% CI: 0.86, 0.92), stroke (HR: 0.88, 95% CI: 0.83, 0.94), and all-cause mortality (HR: 0.81, 95% CI: 0.78, 0.84). This association was stronger in the under 60 compared with the over 60 for all outcomes. Results were confirmed in sensitivity analyses. Conclusion: Management of depression through psychological interventions may be associated with reduced risk of CVD. More research is needed to understand the causality of these associations

    Estimating life expectancy and years of life lost for autistic people in the UK: a matched cohort study

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    Background: Previous research has shown that people who have been diagnosed autistic are more likely to die prematurely than the general population. However, statistics on premature mortality in autistic people have often been misinterpreted. In this study we aimed to estimate the life expectancy and years of life lost experienced by autistic people living in the UK.// Methods: We studied people in the IQVIA Medical Research Database with an autism diagnosis between January 1, 1989 and January 16, 2019. For each participant diagnosed autistic, we included ten comparison participants without an autism diagnosis, matched by age, sex, and primary care practice. We calculated age- and sex-standardised mortality ratios comparing people diagnosed autistic to the reference group. We used Poisson regression to estimate age-specific mortality rates, and life tables to estimate life expectancy at age 18 and years of life lost. We analysed the data separately by sex, and for people with and without a record of intellectual disability. We discuss the findings in the light of the prevalence of recorded diagnosis of autism in primary care compared to community estimates.// Findings: From a cohort of nearly 10 million people, we identified 17,130 participants diagnosed autistic without an intellectual disability (matched with 171,300 comparison participants), and 6450 participants diagnosed autistic with an intellectual disability (matched with 64,500 comparison participants). The apparent estimates indicated that people diagnosed with autism but not intellectual disability had 1.71 (95% CI: 1.39–2.11) times the mortality rate of people without these diagnoses. People diagnosed with autism and intellectual disability had 2.83 (95% CI: 2.33–3.43) times the mortality rate of people without these diagnoses. Likewise, the apparent reduction in life expectancy for people diagnosed with autism but not intellectual disability was 6.14 years (95% CI: 2.84–9.07) for men and 6.45 years (95% CI: 1.37–11.58 years) for women. The apparent reduction in life expectancy for people diagnosed with autism and intellectual disability was 7.28 years (95% CI: 3.78–10.27) for men and 14.59 years (95% CI: 9.45–19.02 years) for women. However, these findings are likely to be subject to exposure misclassification biases: very few autistic adults and older-adults have been diagnosed, meaning that we could only study a fraction of the total autistic population. Those who have been diagnosed may well be those with greater support needs and more co-occurring health conditions than autistic people on average

    Estimating life expectancy and years of life lost for autistic people in the UK: a matched cohort study

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    Background Previous research has shown that people who have been diagnosed autistic are more likely to die prematurely than the general population. However, statistics on premature mortality in autistic people have often been misinterpreted. In this study we aimed to estimate the life expectancy and years of life lost experienced by autistic people living in the UK. Methods We studied people in the IQVIA Medical Research Database with an autism diagnosis between January 1, 1989 and January 16, 2019. For each participant diagnosed autistic, we included ten comparison participants without an autism diagnosis, matched by age, sex, and primary care practice. We calculated age- and sex-standardised mortality ratios comparing people diagnosed autistic to the reference group. We used Poisson regression to estimate age-specific mortality rates, and life tables to estimate life expectancy at age 18 and years of life lost. We analysed the data separately by sex, and for people with and without a record of intellectual disability. We discuss the findings in the light of the prevalence of recorded diagnosis of autism in primary care compared to community estimates. Findings From a cohort of nearly 10 million people, we identified 17,130 participants diagnosed autistic without an intellectual disability (matched with 171,300 comparison participants), and 6450 participants diagnosed autistic with an intellectual disability (matched with 64,500 comparison participants). The apparent estimates indicated that people diagnosed with autism but not intellectual disability had 1.71 (95% CI: 1.39–2.11) times the mortality rate of people without these diagnoses. People diagnosed with autism and intellectual disability had 2.83 (95% CI: 2.33–3.43) times the mortality rate of people without these diagnoses. Likewise, the apparent reduction in life expectancy for people diagnosed with autism but not intellectual disability was 6.14 years (95% CI: 2.84–9.07) for men and 6.45 years (95% CI: 1.37–11.58 years) for women. The apparent reduction in life expectancy for people diagnosed with autism and intellectual disability was 7.28 years (95% CI: 3.78–10.27) for men and 14.59 years (95% CI: 9.45–19.02 years) for women. However, these findings are likely to be subject to exposure misclassification biases: very few autistic adults and older-adults have been diagnosed, meaning that we could only study a fraction of the total autistic population. Those who have been diagnosed may well be those with greater support needs and more co-occurring health conditions than autistic people on average. Interpretation The findings indicate that there is a group of autistic people who experience premature mortality, which is of significant concern. There is an urgent need for investigation into the reasons behind this. However, our estimates suggest that the widely reported statistic that autistic people live 16-years less on average is likely incorrect. Nine out of 10 autistic people may have been undiagnosed across the time-period studied. Hence, the results of our study do not generalise to all autistic people. Diagnosed autistic adults, and particularly older adults, are likely those with greater-than-average support needs. Therefore, we may have over-estimated the reduction in life expectancy experienced by autistic people on average. The larger reduction in life expectancy for women diagnosed with autism and intellectual disability vs. men may in part reflect disproportionate underdiagnosis of autism and/or intellectual disability in women

    Correction to: Effect of inhaled corticosteroid particle size on asthma efficacy and safety outcomes: a systematic literature review and meta-analysis

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    BACKGROUND: Inhaled corticosteroids (ICS) are the primary treatment for persistent asthma. Currently available ICS have differing particle size due to both formulation and propellant, and it has been postulated that this may impact patient outcomes. This structured literature review and meta-analysis compared the effect of small and standard particle size ICS on lung function, symptoms, rescue use (when available) and safety in patients with asthma as assessed in head-to-head randomized controlled trials (RCTs). METHODS: A systematic literature search of MEDLINE was performed to identify RCTs (1998–2014) evaluating standard size (fluticasone propionate-containing medications) versus small particle size ICS medication in adults and children with asthma. Efficacy outcomes included forced expiratory volume in 1 s (FEV(1)), morning peak expiratory flow (PEF), symptom scores, % predicted forced expiratory flow between 25 and 75% of forced vital capacity (FEF(25–75%))(,) and rescue medication use. Safety outcomes were also evaluated when available. RESULTS: Twenty-three independent trials that met the eligibility criteria were identified. Benefit-risk plots did not demonstrate any clinically meaningful differences across the five efficacy endpoints considered and no appreciable differences were noted for most safety endpoints. Meta-analysis results, using a random-effects model, demonstrated no significant difference between standard and small size particle ICS medications in terms of effects on mean change from baseline FEV(1) (L) (−0.011, 95% confidence interval [CI]: −0.037, 0.014 [N = 3524]), morning PEF (L/min) (medium/low doses: −3.874, 95% CI: −10.915, 3.166 [N = 1911]; high/high-medium doses: 5.551, 95% CI: −1.948, 13.049 [N = 749]) and FEF(25–75% predicted) (−2.418, 95% CI: −6.400; 1.564 [N = 115]). CONCLUSIONS: Based on the available literature, no clinically significant differences in efficacy or safety were observed comparing small and standard particle size ICS medications for the treatment of asthma. TRIAL REGISTRATION: GSK Clinical Study Register No: 202012

    Diagnosis of common health conditions among autistic adults in the UK: evidence from a matched cohort study

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    Background: Autistic people are disproportionately likely to experience premature mortality and most mental and physical health conditions. We measured the incidence of diagnosed conditions accounting for the most disability adjusted life years in the UK population according to the Global Burden of Disease study (anxiety, depression, self-harm, harmful alcohol use, substance use, migraine, neck or back pain, and gynaecological conditions). Methods: Participants were aged 18 years or above and had an autism diagnosis recorded in the IQVIA Medical Research Database between 01/01/2000 and 16/01/2019. We included 15,675 autistic adults without intellectual disability, 6437 autistic adults with intellectual disability, and a comparison group matched (1:10) by age, sex, and primary care practice. We estimated crude incidences and incidence rate ratios (IRRs) adjusted for age and sex. Findings: Autistic adults without intellectual disability experienced a higher incidence (IRR, 95% CI) of self-harm (2.07, 1.79–2.40), anxiety (1.91, 1.76–2.06), depressive disorders (1.79, 1.67–1.92), and substance use (1.24, 1.02–1.51) relative to comparison participants. Incidences of harmful alcohol use (1.01, 0.85–1.18), migraine (0.99, 0.84–1.17), and gynaecological conditions (1.19, 0.95–1.49) did not differ. Neck or back pain incidence was lower (0.88, 0.82–0.95). Autistic adults with intellectual disability experienced a higher incidence of self-harm (2.08, 1.69–2.56). Incidences of anxiety (1.14, 1.00–1.30), gynaecological conditions (1.22, 0.93–1.62), and substance use (1.08, 0.80–1.47) did not differ, and lower incidences were found for depressive disorders (0.73, 0.64–0.83), harmful alcohol use (0.65, 0.50–0.84), migraine (0.55, 0.42–0.74), and neck or back pain (0.49, 0.44–0.55). Interpretation: Although our findings cannot be directly compared to previous prevalence studies, they contrast with the higher frequency of mental and physical health conditions in autistic adults reported in studies that directly assessed and/or surveyed autistic people about co-occurring conditions. The present findings may suggest underdiagnosis of common conditions in autistic people, particularly those with intellectual disability. Improved detection should be a clinical and policy priority to reduce health inequalities

    Effectiveness of primary care psychological therapy services for treating depression and anxiety in autistic adults in England: a retrospective, matched, observational cohort study of national health-care records

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    Background: Autistic adults report a higher prevalence of anxiety and depression than adults without identified autism but have poorer access to appropriate mental health care. Evidence-based psychological therapies are recommended in treatment guidelines for autistic adults, but no study has investigated their effectiveness in large samples representative of the autistic population accessing routine care. This study aimed to examine therapy outcomes for autistic adults in a primary care service. Methods: In this retrospective, matched, observational cohort study of national health-care records, we used the MODIFY dataset that used linked electronic health-care records, including national data, for individuals who accessed psychological therapy in primary care in Improving Access to Psychological Therapies (IAPT) services in 211 clinical commissioning group areas in England, UK. All adults aged 18 years or older who had completed a course of IAPT in 2012–19 were eligible, and were propensity score matched (1:1) with a comparison group without identified autism. Exact matching was used, when possible, for a range of sociodemographic factors. Primary outcomes were routine metrics that have been nationally defined and used to evaluate IAPT treatments: reliable improvement, reliable recovery, and reliable deterioration. Secondary outcomes were calculated pre–post treatment changes in scores for Patient Health Questionnaire-9, Generalised Anxiety Disorder Assessment-7, and Work and Social Adjustment Scale measures. Subgroup analyses investigated differential effects across a range of sociodemographic factors. Findings: Of 2515402 adults who completed at least two sessions of IAPT in 2012–19, 8761 had an autism diagnosis (5054 [57∙7%] male and 3707 [42∙3%] female) and 1 918504 did not (631 606 [32∙9%] male and 1 286898 [67∙0%] female). After propensity score matching, 8593 autistic individuals were matched with an individual in the comparison group. During IAPT treatment, symptoms of depression and generalised anxiety disorder decreased for most autistic adults, but symptoms were less likely to improve in the autism group than in the comparison group (4820 [56·1%] of 8593 autistic adults had reliable improvement vs 5304 [61·7%] of 8593 adults in the matched group; adjusted odds ratio [ORadj] 0·75, 95% CI 0·70–0·80; p<0·0001) and symptoms were more likely to deteriorate (792 [9·2%] vs 619 [7·2%]; ORadj 1·34, 1·18–1·48; p<0·0001). In the comparison group, improved outcomes were associated with employment and belonging to a higher socioeconomic deprivation category, but this was not the case for autistic adults. Interpretation: Evidence-based psychological therapy for depression or anxiety might be effective for autistic adults but less so than for adults without identified autism. Treatment moderators appear different for autistic individuals, so more research is needed to allow for better targeted and personalised care. Funding: Alzheimer’s Society
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