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  • 1
    In: Journal of the American Heart Association, Ovid Technologies (Wolters Kluwer Health), Vol. 12, No. 12 ( 2023-06-20)
    Abstract: The association between common carotid artery intima‐media thickness (CCA‐IMT) and incident carotid plaque has not been characterized fully. We therefore aimed to precisely quantify the relationship between CCA‐IMT and carotid plaque development. Methods and Results We undertook an individual participant data meta‐analysis of 20 prospective studies from the Proof‐ATHERO (Prospective Studies of Atherosclerosis) consortium that recorded baseline CCA‐IMT and incident carotid plaque involving 21 494 individuals without a history of cardiovascular disease and without preexisting carotid plaque at baseline. Mean baseline age was 56 years (SD, 9 years), 55% were women, and mean baseline CCA‐IMT was 0.71 mm (SD, 0.17 mm). Over a median follow‐up of 5.9 years (5th–95th percentile, 1.9–19.0 years), 8278 individuals developed first‐ever carotid plaque. We combined study‐specific odds ratios (ORs) for incident carotid plaque using random‐effects meta‐analysis. Baseline CCA‐IMT was approximately log‐linearly associated with the odds of developing carotid plaque. The age‐, sex‐, and trial arm–adjusted OR for carotid plaque per SD higher baseline CCA‐IMT was 1.40 (95% CI, 1.31–1.50; I 2 =63.9%). The corresponding OR that was further adjusted for ethnicity, smoking, diabetes, body mass index, systolic blood pressure, low‐ and high‐density lipoprotein cholesterol, and lipid‐lowering and antihypertensive medication was 1.34 (95% CI, 1.24–1.45; I 2 =59.4%; 14 studies; 16 297 participants; 6381 incident plaques). We observed no significant effect modification across clinically relevant subgroups. Sensitivity analysis restricted to studies defining plaque as focal thickening yielded a comparable OR (1.38 [95% CI, 1.29–1.47]; I 2 =57.1%; 14 studies; 17 352 participants; 6991 incident plaques). Conclusions Our large‐scale individual participant data meta‐analysis demonstrated that CCA‐IMT is associated with the long‐term risk of developing first‐ever carotid plaque, independent of traditional cardiovascular risk factors.
    Type of Medium: Online Resource
    ISSN: 2047-9980
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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  • 2
    In: Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 142, No. 7 ( 2020-08-18), p. 621-642
    Abstract: To quantify the association between effects of interventions on carotid intima-media thickness (cIMT) progression and their effects on cardiovascular disease (CVD) risk. Methods: We systematically collated data from randomized, controlled trials. cIMT was assessed as the mean value at the common-carotid-artery; if unavailable, the maximum value at the common-carotid-artery or other cIMT measures were used. The primary outcome was a combined CVD end point defined as myocardial infarction, stroke, revascularization procedures, or fatal CVD. We estimated intervention effects on cIMT progression and incident CVD for each trial, before relating the 2 using a Bayesian meta-regression approach. Results: We analyzed data of 119 randomized, controlled trials involving 100 667 patients (mean age 62 years, 42% female). Over an average follow-up of 3.7 years, 12 038 patients developed the combined CVD end point. Across all interventions, each 10 μm/y reduction of cIMT progression resulted in a relative risk for CVD of 0.91 (95% Credible Interval, 0.87–0.94), with an additional relative risk for CVD of 0.92 (0.87–0.97) being achieved independent of cIMT progression. Taken together, we estimated that interventions reducing cIMT progression by 10, 20, 30, or 40 μm/y would yield relative risks of 0.84 (0.75–0.93), 0.76 (0.67–0.85), 0.69 (0.59–0.79), or 0.63 (0.52–0.74), respectively. Results were similar when grouping trials by type of intervention, time of conduct, time to ultrasound follow-up, availability of individual-participant data, primary versus secondary prevention trials, type of cIMT measurement, and proportion of female patients. Conclusions: The extent of intervention effects on cIMT progression predicted the degree of CVD risk reduction. This provides a missing link supporting the usefulness of cIMT progression as a surrogate marker for CVD risk in clinical trials.
    Type of Medium: Online Resource
    ISSN: 0009-7322 , 1524-4539
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
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  • 3
    In: Journal of the American College of Cardiology, Elsevier BV, Vol. 72, No. 16 ( 2018-10), p. 1883-1893
    Type of Medium: Online Resource
    ISSN: 0735-1097
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 1468327-1
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  • 4
    In: European Heart Journal, Oxford University Press (OUP), Vol. 36, No. 21 ( 2015-06-01), p. 1328-1334
    Type of Medium: Online Resource
    ISSN: 0195-668X , 1522-9645
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2015
    detail.hit.zdb_id: 2001908-7
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  • 5
    In: Addiction, Wiley, Vol. 118, No. 10 ( 2023-10), p. 1994-2006
    Abstract: To estimate the prevalence of, and number of unobserved people with opioid dependence by sex and age group in New South Wales (NSW), Australia. Design We applied a Bayesian statistical modelling approach to opioid agonist treatment records linked to adverse event rate data. We estimated prevalence from three types of adverse event separately: opioid mortality, opioid‐poisoning hospitalizations and opioid‐related charges. We extended the model and produced prevalence estimates from a ‘multi‐source’ model based on all three types of adverse event data. Setting, Participants and Measurements This study was conducted in NSW, Australia, 2014–16 using data from the Opioid Agonist Treatment and Safety (OATS) study, which included all people who had received treatment for opioid dependence in NSW. Aggregate data were obtained on numbers of adverse events in NSW. Rates of each adverse event type within the OATS cohort were modelled. Population data were provided by State and Commonwealth agencies. Findings Prevalence of opioid dependence among those aged 15–64 years in 2016 was estimated to be 0.96% (95% credible interval [CrI] = 0.82%, 1.12%) from the mortality model, 0.75% (95% CrI = 0.70%, 0.83%) from hospitalizations, 0.95% (95% CrI = 0.90%, 0.99%) from charges and 0.92% (95% CrI = 0.88%, 0.96%) from the multi‐source model. Of the estimated 46 460 (95% CrI = 44 680, 48 410) people with opioid dependence in 2016 from the multi‐source model, approximately one‐third (16 750, 95% CrI = 14 960, 18 690) had no record of opioid agonist treatment within the last 4 years. From the multi‐source model, prevalence in 2016 was estimated to be 1.24% (95% CrI = 1.18%, 1.31%) in men aged 15–44, 1.22% (95% CrI = 1.14%, 1.31%) in men 45–64, 0.63% (95% CrI = 0.59%, 0.68%) in women aged 15–44 and 0.56% (95% CrI = 0.50%, 0.63%) in women aged 45–64. Conclusions A Bayesian statistical approach to estimate prevalence from multiple adverse event types simultaneously calculates that the estimated prevalence of opioid dependence in NSW, Australia in 2016 was 0.92%, higher than previous estimates.
    Type of Medium: Online Resource
    ISSN: 0965-2140 , 1360-0443
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
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  • 6
    In: British Journal of Cancer, Springer Science and Business Media LLC, Vol. 123, No. 3 ( 2020-08-04), p. 471-479
    Abstract: The impact of cardiovascular disease (CVD) comorbidity on resection rates and survival for patients with early-stage non-small-cell lung cancer (NSCLC) is unclear. We explored if CVD comorbidity explained surgical resection rate variation and the impact on survival if resection rates increased. Methods Cancer registry data consisted of English patients diagnosed with NSCLC from 2012 to 2016. Linked hospital records identified CVD comorbidities. We investigated resection rate variation by geographical region using funnel plots; resection and death rates using time-to-event analysis. We modelled an increased propensity for resection in regions with the lowest resection rates and estimated survival change. Results Among 57,373 patients with Stage 1−3A NSCLC, resection rates varied considerably between regions. Patients with CVD comorbidity had lower resection rates and higher mortality rates. CVD comorbidity explained only 1.9% of the variation in resection rates. For every 100 CVD comorbid patients, increasing resection in regions with the lowest rates from 24 to 44% would result in 16 more patients resected and alive after 1 year and two fewer deaths overall. Conclusions Variation in regional resection rate is not explained by CVD comorbidities. Increasing resection in patients with CVD comorbidity to the levels of the highest resecting region would increase 1-year survival.
    Type of Medium: Online Resource
    ISSN: 0007-0920 , 1532-1827
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    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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  • 7
    In: Circulation: Cardiovascular Quality and Outcomes, Ovid Technologies (Wolters Kluwer Health), Vol. 16, No. 6 ( 2023-06)
    Abstract: An increasing proportion of patients with cancer experience acute myocardial infarction (AMI). We investigated differences in quality of AMI care and survival between patients with and without previous cancer diagnoses. Methods: A retrospective cohort study using Virtual Cardio-Oncology Research Initiative data. Patients aged 40+ years hospitalized in England with AMI between January 2010 and March 2018 were assessed, ascertaining previous cancers diagnosed within 15 years. Multivariable regression was used to assess effects of cancer diagnosis, time, stage, and site on international quality indicators and mortality. Results: Of 512 388 patients with AMI (mean age, 69.3 years; 33.5% women), 42 187 (8.2%) had previous cancers. Patients with cancer had significantly lower use of ACE (angiotensin-converting enzyme) inhibitors/angiotensin receptor blockers (mean percentage point decrease [mppd], 2.6% [95% CI, 1.8–3.4] ) and lower overall composite care (mppd, 1.2% [95% CI, 0.9–1.6]). Poorer quality indicator attainment was observed in patients with cancer diagnosed in the last year (mppd, 1.4% [95% CI, 1.8–1.0] ), with later stage disease (mppd, 2.5% [95% CI, 3.3–1.4]), and with lung cancer (mppd, 2.2% [95% CI, 3.0–1.3] ). Twelve-month all-cause survival was 90.5% in noncancer controls and 86.3% in adjusted counterfactual controls. Differences in post-AMI survival were driven by cancer-related deaths. Modeling improving quality indicator attainment to noncancer patient levels showed modest 12-month survival benefits (lung cancer, 0.6%; other cancers, 0.3%). Conclusions: Measures of quality of AMI care are poorer in patients with cancer, with lower use of secondary prevention medications. Findings are primarily driven by differences in age and comorbidities between cancer and noncancer populations and attenuated after adjustment. The largest impact was observed in recent cancer diagnoses ( 〈 1 year) and lung cancer. Further investigation will determine whether differences reflect appropriate management according to cancer prognosis or whether opportunities to improve AMI outcomes in patients with cancer exist.
    Type of Medium: Online Resource
    ISSN: 1941-7713 , 1941-7705
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
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  • 8
    In: Statistica Neerlandica, Wiley, Vol. 74, No. 1 ( 2020-02), p. 5-23
    Abstract: Electronic health records are being increasingly used in medical research to answer more relevant and detailed clinical questions; however, they pose new and significant methodological challenges. For instance, observation times are likely correlated with the underlying disease severity: Patients with worse conditions utilise health care more and may have worse biomarker values recorded. Traditional methods for analysing longitudinal data assume independence between observation times and disease severity; yet, with health care data, such assumptions unlikely hold. Through Monte Carlo simulation, we compare different analytical approaches proposed to account for an informative visiting process to assess whether they lead to unbiased results. Furthermore, we formalise a joint model for the observation process and the longitudinal outcome within an extended joint modelling framework. We illustrate our results using data from a pragmatic trial on enhanced care for individuals with chronic kidney disease, and we introduce user‐friendly software that can be used to fit the joint model for the observation process and a longitudinal outcome.
    Type of Medium: Online Resource
    ISSN: 0039-0402 , 1467-9574
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1466958-4
    SSG: 7,23
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 5_Supplement ( 2023-03-01), p. P6-08-04-P6-08-04
    Abstract: Background In England, as for many countries, there are geographical variations in treatment uptake and outcomes for patients with early breast cancer (EBC). It is important such inequalities are addressed. The co-existence of cardiovascular disease (CVD) in patients with early breast cancer (EBC) may complicate treatment choices, lead to deviations from standard of care, and be associated with worse cancer and CVD outcomes. Social deprivation is also associated with increased incidence of co-morbidities, reduced cancer treatment rates, and worse cancer survival. If there are regional differences in rates of CVD/co-morbidities and social deprivation these may explain observed differences in treatment uptake and cancer outcomes in EBC. Therefore, in this analysis we evaluated rates of CVD and social deprivation in a large population of patients with EBC in 20 English Cancer Alliances. Methods Cancer registry data as part of The Virtual Cardio-Oncology Research Initiative (VICORI) were used to identify patients diagnosed with stage I-III breast cancer diagnosed between 2013 - 2018 in England. National data (hospital records and national cardiovascular audit databases) were used to describe CVD prevalence (CVDp), Index of Multiple Deprivation (IMD), and Charlson Comorbidity Index (CCI). Patient, disease, tumour, and treatment characteristics were allocated into Cancer Alliance tertiles according to CVDp (minimum ( & lt; 33.3rd percentile); middle (33.3rd – 66.6th percentile); maximum ( & gt;66.6th percentile)) with approximately equal patient numbers in each group. The disease burden was depicted in bar charts and regional variation as heat maps of England. The percentage of patients in the most deprived quintile of income domain of the IMD were plotted. Funnel plots were used to investigate variations in regional CVD rates based on a logistic regression model. Results Data from 226,516 patients with stage I-IIIA breast cancer with a mean age of 62.5 (+/- 13.7) were included in the analysis. 78,833 patients were assigned to the minimum (37.0%; 95% CI 36.7 – 37.2), 74,443 to the middle (35.5%; 95% CI 35.3 – 35.7), and 73,240 to the maximum (34.7%; 95% CI 34.5 – 34.9) tertile. Geographical variation between Cancer Alliances was demonstrated for CVDp (6% - 9.5%), IMD (2%- 30%), and CCI  4 (8.2% - 9.5%). Variation of CVDp revealed a South/North gradient between Cancer Alliances towards higher percentage, with centrifugal tendency from London. These findings were consistent with a similar pattern seen for variation in IMD quintiles with higher prevalence of most socioeconomic deprived patients located in cancer alliances in the North compared to the South of England. Regional variation was less obvious for CCI. After adjusting for age, TNM stage, IMD, and CCI, differences in the standardised CVD ratio persisted for some cancer alliances suggesting that other factors than those adjusted for are likely accountable for the higher CVDp seen in some Cancer Alliances. An adjusted ordinal logistic regression model demonstrated that older age (aged & gt;75), white ethnicity, and social deprivation were associated with a higher risk of CVDp (p & lt; 0.001). Conclusions This study highlights significant geographical variation of social deprivation, CVDp, and other comorbidities in early breast cancer patients in England which may contribute to the variability in treatment received and breast cancer survival in different regions within the country. Citation Format: Jasmin V Waterhouse, Catherine A. Welch, Nicolo M.L. Battisti, David Adlam, Michael J. Sweeting, Lizz Paley, Paul Lambert, John E. Deanfield, Mark de Belder, Michael D Peake, Alistair Ring. Geographical variation of social deprivation, cardiovascular and other comorbidities in 226,516 patients with early breast cancer in England: results from a National Registry Dataset Analysis [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6 -08-04.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2015
    In:  Journal of Clinical Epidemiology Vol. 68, No. 12 ( 2015-12), p. 1397-1405
    In: Journal of Clinical Epidemiology, Elsevier BV, Vol. 68, No. 12 ( 2015-12), p. 1397-1405
    Type of Medium: Online Resource
    ISSN: 0895-4356
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
    detail.hit.zdb_id: 1500490-9
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