European Society of Cardiology quality indicators for the prevention and management of cancer therapy-related cardiovascular toxicity in cancer treatment.

AIMS: To develop quality indicators (QIs) for the evaluation of the prevention and management of cancer therapy-related cardiovascular toxicity. METHODS AND RESULTS: We followed the European Society of Cardiology (ESC) methodology for QI development which comprises (i) identifying the key domains of care for the prevention and management of cancer therapy-related cardiovascular toxicity in patients on cancer treatment, (ii) performing a systematic review of the literature to develop candidate QIs, and (iii) selecting of the final set of QIs using a modified Delphi process. Work was undertaken in parallel with the writing of the 2022 ESC Guidelines on Cardio-Oncology and in collaboration with the European Haematology Association, the European Society for Therapeutic Radiology and Oncology and the International Cardio-Oncology Society. In total, 5 main and 9 secondary QIs were selected across five domains of care: (i) Structural framework, (ii) Baseline cardiovascular risk assessment, (iii) Cancer therapy related cardiovascular toxicity, (iv) Predictors of outcomes, and (v) Monitoring of cardiovascular complications during cancer therapy. CONCLUSION: We present the ESC Cardio-Oncology QIs with their development process and provide an overview of the scientific rationale for their selection. These indicators are aimed at quantifying and improving the adherence to guideline-recommended clinical practice and improving patient outcomes.

Association of multimorbidity and changes in health-related quality of life following myocardial infarction: a UK multicentre longitudinal patient-reported outcomes study.

BACKGROUND: Multimorbidity is prevalent for people with myocardial infarction (MI), yet previous studies investigated single-health conditions in isolation. We identified patterns of multimorbidity in MI survivors and their associations with changes in HRQoL. METHODS: In this national longitudinal cohort study, we analysed data from 9566 admissions with MI from 77 National Health Service hospitals in England between 2011 and 2015. HRQoL was measured using EuroQol 5 dimension (EQ5D) instrument and visual analogue scale (EQVAS) at hospitalisation, 6, and 12 months following MI. Latent class analysis (LCA) of pre-existing long-term health conditions at baseline was used to identify clusters of multimorbidity and associations with changes in HRQoL quantified using mixed effects regression analysis. RESULTS: Of 9566 admissions with MI (mean age of 64.1 years [SD 11.9], 7154 [75%] men), over half (5119 [53.5%] had multimorbidities. LCA identified 3 multimorbidity clusters which were severe multimorbidity (591; 6.5%) with low HRQoL at baseline (EQVAS 59.39 and EQ5D 0.62) which did not improve significantly at 6 months (EQVAS 59.92, EQ5D 0.60); moderate multimorbidity (4301; 47.6%) with medium HRQoL at baseline (EQVAS 63.08, EQ5D 0.71) and who improved at 6 months (EQVAS 71.38, EQ5D 0.76); and mild multimorbidity (4147, 45.9%) at baseline (EQVAS 64.57, EQ5D 0.75) and improved at 6 months (EQVAS 76.39, EQ5D 0.82). Patients in the severe and moderate groups were more likely to be older, women, and presented with NSTEMI. Compared with the mild group, increased multimorbidity was associated with lower EQ-VAS scores (adjusted coefficient: -5.12 [95% CI -7.04 to -3.19] and -0.98 [-1.93 to -0.04] for severe and moderate multimorbidity, respectively. The severe class was more likely than the mild class to report problems in mobility, OR 9.62 (95% confidence interval: 6.44 to 14.36), self-care 7.87 (4.78 to 12.97), activities 2.41 (1.79 to 3.26), pain 2.04 (1.50 to 2.77), and anxiety/depression 1.97 (1.42 to 2.74). CONCLUSIONS: Among MI survivors, multimorbidity clustered into three distinct patterns and was inversely associated with HRQoL. The identified multimorbidity patterns and HRQoL domains that are mostly affected may help to identify patients at risk of poor HRQoL for which clinical interventions could be beneficial to improve the HRQoL of MI survivors. TRIAL REGISTRATION: ClinicalTrials.gov NCT01808027 and NCT01819103.

The association of mode of location activity and mobility with acute coronary syndrome: a nationwide ecological study.

BACKGROUND: We aimed to study the effect of social containment mandates on ACS presentation during COVID-19 pandemic using location activity and mobility data from mobile phone map services. METHODS: We conducted a cross-sectional study using data from the Swedish Coronary Angiography and Angioplasty Registry (SCAAR) including all ACS presentations during the pandemic until 7 May 2020. Using a count regression model, we adjusted for day of the week, daily weather and incidence of COVID-19. RESULTS: A 10% increase in activity around areas of residence was associated with 38% lower rates of ACS hospitalizations, whereas increased activity relating to retail and recreation, grocery stores and pharmacies, workplaces and mode of mobility was associated with 10-20% higher rates of ACS hospitalizations. CONCLUSION: Government policy regarding social containment mandates has important public health implications for medical emergencies such as ACS and may explain the decline in ACS presentations observed during COVID-19 pandemic.

Editor's Choice - Frailty and the management of patients with acute cardiovascular disease: A position paper from the Acute Cardiovascular Care Association.

Frailty is increasingly seen among patients with acute cardiovascular disease. A combination of an ageing population, improved disease survival, treatable long-term conditions as well as a greater recognition of the syndrome has accelerated the prevalence of frailty in the modern world. Yet, this has not been matched by an expansion of research. National and international bodies have identified acute cardiovascular disease in the frail as a priority area for care and an entity that requires careful clinical decisions, but there remains a paucity of guidance on treatment efficacy and safety, and how to manage this complex group. This position paper from the Acute Cardiovascular Care Association presents the latest evidence about frailty and the management of frail patients with acute cardiovascular disease, and suggests avenues for future research.

Long-term excess mortality associated with diabetes following acute myocardial infarction: a population-based cohort study.

BACKGROUND: The long-term excess risk of death associated with diabetes following acute myocardial infarction is unknown. We determined the excess risk of death associated with diabetes among patients with ST-elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI) after adjustment for comorbidity, risk factors and cardiovascular treatments. METHODS: Nationwide population-based cohort (STEMI n=281 259 and NSTEMI n=422 661) using data from the UK acute myocardial infarction registry, MINAP, between 1 January 2003 and 30 June 2013. Age, sex, calendar year and country-specific mortality rates for the populace of England and Wales (n=56.9 million) were matched to cases of STEMI and NSTEMI. Flexible parametric survival models were used to calculate excess mortality rate ratios (EMRR) after multivariable adjustment. This study is registered at ClinicalTrials.gov (NCT02591576). RESULTS: Over 1.94 million person-years follow-up including 120 568 (17.1%) patients with diabetes, there were 187 875 (26.7%) deaths. Overall, unadjusted (all cause) mortality was higher among patients with than without diabetes (35.8% vs 25.3%). After adjustment for age, sex and year of acute myocardial infarction, diabetes was associated with a 72% and 67% excess risk of death following STEMI (EMRR 1.72, 95% CI 1.66 to 1.79) and NSTEMI (1.67, 1.63 to 1.71). Diabetes remained significantly associated with substantial excess mortality despite cumulative adjustment for comorbidity (EMRR 1.52, 95% CI 1.46 to 1.58 vs 1.45, 1.42 to 1.49), risk factors (1.50, 1.44 to 1.57 vs 1.33, 1.30 to 1.36) and cardiovascular treatments (1.56, 1.49 to 1.63 vs 1.39, 1.36 to 1.43). CONCLUSIONS: At index acute myocardial infarction, diabetes was common and associated with significant long-term excess mortality, over and above the effects of comorbidities, risk factors and cardiovascular treatments.

Geographic variation in the treatment of non-ST-segment myocardial infarction in the English National Health Service: a cohort study.

OBJECTIVES: To investigate geographic variation in guideline-indicated treatments for non-ST-elevation myocardial infarction (NSTEMI) in the English National Health Service (NHS). DESIGN: Cohort study using registry data from the Myocardial Ischaemia National Audit Project. SETTING: All Clinical Commissioning Groups (CCGs) (n=211) in the English NHS. PARTICIPANTS: 357 228 patients with NSTEMI between 1 January 2003 and 30 June 2013. MAIN OUTCOME MEASURE: Proportion of eligible NSTEMI who received all eligible guideline-indicated treatments (optimal care) according to the date of guideline publication. RESULTS: The proportion of NSTEMI who received optimal care was low (48 257/357 228; 13.5%) and varied between CCGs (median 12.8%, IQR 0.7-18.1%). The greatest geographic variation was for aldosterone antagonists (16.7%, 0.0-40.0%) and least for use of an ECG (96.7%, 92.5-98.7%). The highest rates of care were for acute aspirin (median 92.8%, IQR 88.6-97.1%), and aspirin (90.1%, 85.1-93.3%) and statins (86.4%, 82.3-91.2%) at hospital discharge. The lowest rates were for smoking cessation advice (median 11.6%, IQR 8.7-16.6%), dietary advice (32.4%, 23.9-41.7%) and the prescription of P2Y12 inhibitors (39.7%, 32.4-46.9%). After adjustment for case mix, nearly all (99.6%) of the variation was due to between-hospital differences (median 64.7%, IQR 57.4-70.0%; between-hospital variance: 1.92, 95% CI 1.51 to 2.44; interclass correlation 0.996, 95% CI 0.976 to 0.999). CONCLUSIONS: Across the English NHS, the optimal use of guideline-indicated treatments for NSTEMI was low. Variation in the use of specific treatments for NSTEMI was mostly explained by between-hospital differences in care. Performance-based commissioning may increase the use of NSTEMI treatments and, therefore, reduce premature cardiovascular deaths. TRIAL REGISTRATION NUMBER: NCT02436187.

Determinants of excess mortality following unprotected left main stem percutaneous coronary intervention.

OBJECTIVE: For percutaneous coronary intervention (PCI) to the unprotected left main stem (UPLMS), there are limited long-term outcome data. We evaluated 5-year survival for UPLMS PCI cases taking into account background population mortality. METHODS: A population-based registry of 10 682 cases of chronic stable angina (CSA), non-ST-segment elevation acute coronary syndrome (NSTEACS), ST-segment elevation myocardial infarction with (STEMI+CS) and without cardiogenic shock (STEMI-CS) who received UPLMS PCI from 2005 to 2014 were matched by age, sex, year of procedure and country to death data for the UK populace of 56.6 million people. Relative survival and excess mortality were estimated. RESULTS: Over 26 105 person-years follow-up, crude 5-year relative survival was 93.8% for CSA, 73.1% for NSTEACS, 77.5% for STEMI-CS and 28.5% for STEMI+CS. The strongest predictor of excess mortality among CSA was renal failure (EMRR 6.73, 95% CI 4.06 to 11.15), and for NSTEACS and STEMI-CS was preprocedural ventilation (6.25, 5.05 to 7.75 and 6.92, 4.25 to 11.26, respectively). For STEMI+CS, the strongest predictor of excess mortality was preprocedural thrombolysis in myocardial infarction (TIMI) 0 flow (2.78, 1.87 to 4.13), whereas multivessel PCI was associated with improved survival (0.74, 0.61 to 0.90). CONCLUSIONS: Long-term survival following UPLMS PCI for CSA was high, approached that of the background populace and was significantly predicted by co-morbidity. For NSTEACS and STEMI-CS, the requirement for preprocedural ventilation was the strongest determinant of excess mortality. By contrast, among STEMI+CS, in whom survival was poor, the strongest determinant was preprocedural TIMI flow. Future cardiovascular cohort studies of long-term mortality should consider the impact of non-cardiovascular deaths.

Patient and hospital determinants of primary percutaneous coronary intervention in England, 2003-2013.

OBJECTIVE: Primary percutaneous coronary intervention (PPCI) for ST-elevation myocardial infarction (STEMI) is insufficiently implemented in many countries. We investigated patient and hospital characteristics associated with PPCI utilisation. METHODS: Whole country registry data (MINAP, Myocardial Ischaemia National Audit Project) comprising PPCI-capable National Health Service trusts in England (84 hospital trusts; 92 350 hospitalisations; 90 489 patients), 2003-2013. Multilevel Poisson regression modelled the relationship between incidence rate ratios (IRR) of PPCI and patient and trust-level factors. RESULTS: Overall, standardised rates of PPCI increased from 0.01% to 86.3% (2003-2013). While, on average, there was a yearly increase in PPCI utilisation of 30% (adjusted IRR 1.30, 95% CI 1.23 to 1.36), it varied substantially between trusts. PPCI rates were lower for patients with previous myocardial infarction (0.95, 0.93 to 0.98), heart failure (0.86, 0.81 to 0.92), angina (0.96, 0.94 to 0.98), diabetes (0.97, 0.95 to 0.99), chronic renal failure (0.89, 0.85 to 0.90), cerebrovascular disease (0.96, 0.93 to 0.99), age >80 years (0.87, 0.85 to 0.90), and travel distances >30 km (0.95, 0.93 to 0.98). PPCI rates were higher for patients with previous percutaneous coronary intervention (1.09, 1.05 to 1.12) and among trusts with >5 interventional cardiologists (1.30, 1.25 to 1.34), more visiting interventional cardiologists (1-5: 1.31, 1.26 to 1.36; ≥6: 1.42, 1.35 to 1.49), and a 24 h, 7-days-a-week PPCI service (2.69, 2.58 to 2.81). Half of the unexplained variation in PPCI rates was due to between-trust differences. CONCLUSIONS: Following an 8 year implementation phase, PPCI utilisation rates stabilised at 85%. However, older and sicker patients were less likely to receive PPCI and there remained between-trust variation in PPCI rates not attributable to differences in staffing levels. Compliance with clinical pathways for STEMI is needed to ensure more equitable quality of care.

Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3: protocol for a longitudinal study.

INTRODUCTION: Patients with cardiovascular disease are living longer and are more frequently accessing healthcare resources. The Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3 national study is designed to improve understanding of the effect of quality of care on health-related outcomes for patients hospitalised with acute coronary syndrome (ACS). METHODS AND ANALYSIS: EMMACE-3 is a longitudinal study of 5556 patients hospitalised with an ACS in England. The study collects repeated measures of health-related quality of life, information about medications and patient adherence profiles, a survey of hospital facilities, and morbidity and mortality data from linkages to multiple electronic health records. Together with EMMACE-3X and EMMACE-4, EMMACE-3 will assimilate detailed information for about 13 000 patients across more than 60 hospitals in England. ETHICS AND DISSEMINATION: EMMACE-3 was given a favourable ethical opinion by Leeds (West) Research Ethics committee (REC reference: 10/H131374). On successful application, study data will be shared with academic collaborators. The findings from EMMACE-3 will be disseminated through peer-reviewed publications, at scientific conferences, the media, and through patient and public involvement. STUDY REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT01808027. Information about the study is also available at EMMACE.org.

Mortality and missed opportunities along the pathway of care for ST-elevation myocardial infarction: a national cohort study.

AIMS: To examine the association between cumulative missed opportunities for care (CMOC) and mortality in patients with ST-elevation myocardial infarction (STEMI). METHODS: A cohort study of 112,286 STEMI patients discharged from hospital alive between January 2007 and December 2010, using data from the Myocardial Ischaemia National Audit Project (MINAP). A CMOC score was calculated for each patient and included: pre-hospital ECG, acute use of aspirin, timely reperfusion, prescription at hospital discharge of aspirin, thienopyridine inhibitor, ACE-inhibitor (or equivalent), HMG-CoA reductase inhibitor and ß-blocker, and referral for cardiac rehabilitation. Mixed-effects logistic regression models evaluated the effect of CMOC on risk-adjusted 30-day and 1-year mortality (RAMR). RESULTS: 44.5% of patients were ineligible for ≥1 care component. Of patients eligible for all nine components, 50.6% missed ≥1 opportunity. Pre-hospital ECG and timely reperfusion were most frequently missed, predicting further missed care at discharge (pre-hospital ECG incident rate ratio [95% CI]: 1.64 [1.58-1.70]; timely reperfusion 9.94 [9.51-10.40]). Patients ineligible for care had higher RAMR than those eligible for care (30-days: 1.7% vs. 1.1%; 1-year: 8.6% vs. 5.2%), whilst those with no missed care had lower mortality than patients with ≥4 CMOC (30-days: 0.5% vs. 5.4%, adjusted OR (aOR) per CMOC group 1.22, 95% CI: 1.05-1.42; 1-year: 3.2% vs. 22.8%, aOR 1.23, 1.13-1.34). CONCLUSIONS: Opportunities for care in STEMI are commonly missed and significantly associated with early and later mortality. Thus, outcomes after STEMI may be improved by greater attention to missed opportunities to eligible care.

Prospective development and validation of a model to predict heart failure hospitalisation.

OBJECTIVE: Acute heart failure syndrome (AHFS) is a major cause of hospitalisation and imparts a substantial burden on patients and healthcare systems. Tools to define risk of AHFS hospitalisation are lacking. METHODS: A prospective cohort study (n=628) of patients with stable chronic heart failure (CHF) secondary to left ventricular systolic dysfunction was used to derive an AHFS prediction model which was then assessed in a prospectively recruited validation cohort (n=462). RESULTS: Within the derivation cohort, 44 (7%) patients were hospitalised as a result of AHFS during 1 year of follow-up. Predictors of AHFS hospitalisation included furosemide equivalent dose, the presence of type 2 diabetes mellitus, AHFS hospitalisation within the previous year and pulmonary congestion on chest radiograph, all assessed at baseline. A multivariable model containing these four variables exhibited good calibration (Hosmer-Lemeshow p=0.38) and discrimination (C-statistic 0.77; 95% CI 0.71 to 0.84). Using a 2.5% risk cut-off for predicted AHFS, the model defined 38.5% of patients as low risk, with negative predictive value of 99.1%; this low risk cohort exhibited <1% excess all-cause mortality per annum when compared with contemporaneous actuarial data. Within the validation cohort, an identically applied model derived comparable performance parameters (C-statistic 0.81 (95% CI 0.74 to 0.87), Hosmer-Lemeshow p=0.15, negative predictive value 100%). CONCLUSIONS: A prospectively derived and validated model using simply obtained clinical data can identify patients with CHF at low risk of hospitalisation due to AHFS in the year following assessment. This may guide the design of future strategies allocating resources to the management of CHF.

Cardiovascular sequelae in long-term survivors of young peoples' cancer: a linked cohort study.

BACKGROUND: We aimed to define the incidence and risk of cardiovascular late effects (LEs) identified from inpatient hospital episode statistics (HES) among long-term survivors of cancer in young people by age at diagnosis (0-14 and 15-29 years). METHODS: Records from the Yorkshire Specialist Register of Cancer in Children and Young People (1991-2006) were linked to inpatient HES data (1996-2011) to assess rates of cardiovascular LEs. Rates were compared with the general population in Yorkshire using age-sex-matched HES records for the entire region. RESULTS: Of 3247 survivors of cancer, 3.6% had at least one cardiovascular LE. Overall, cardiovascular hospitalisations for the childhood cohort were threefold higher compared with the general population, but did not differ for young adults. For young adults, increased rates were limited to pericardial disease, cardiomyopathy and heart failure, pulmonary heart disease, hypertension and conduction disorders. CONCLUSIONS: Survivors of childhood and young adult cancer remain at increased risk of cardiovascular LEs compared with the general population.

Trends in hospital treatments, including revascularisation, following acute myocardial infarction, 2003-2010: a multilevel and relative survival analysis for the National Institute for Cardiovascular Outcomes Research (NICOR).

OBJECTIVE: To investigate temporal changes in survival after acute myocardial infarction (AMI) by early invasive strategy. METHODS: Accelerated failure time and 6-month relative survival analyses stratified by thrombolysis or primary percutaneous coronary intervention (PPCI) for ST elevation myocardial infarction (STEMI) and coronary angiography for non-STEMI (NSTEMI) encompassing 583 466 patients across 247 hospitals in England and Wales over hospital admission periods 2003-2004, 2005-2006, 2007-2008 and 2009-2010. RESULTS: Survival improved significantly for STEMI patients who received reperfusion therapy (time ratio (TR) 1.47, 95% CI 1.22 to 2.78) and was stable for those who did not (TR 1.02, 95% CI 0.85 to 1.22). While there were significant improvements in survival for NSTEMI patients who underwent coronary angiography (TR 1.39, 95% CI 1.18 to 1.62), there was a significant decline for those who did not (TR 0.70, 95% CI 0.65 to 0.75). Patients without reperfusion therapy or coronary angiography had a greater number of comorbidities, but the use of secondary prevention medications was comparable with patients who received reperfusion therapy or coronary angiography. There was a significant hospital-level survival effect, with higher crude 6-month mortality in hospitals in the lowest coronary angiography and PPCI quartiles (angiography Q1: 16.4% vs Q4: 12.8%; PPCI Q1: 15.8% vs Q4: 12.4%). CONCLUSIONS: Survival rates after AMI have improved. Whereas survival estimates for STEMI patients who did not receive reperfusion therapy were stable, they worsened for NSTEMI patients not receiving coronary angiography.

An evaluation of composite indicators of hospital acute myocardial infarction care: a study of 136,392 patients from the Myocardial Ischaemia National Audit Project.

BACKGROUND: Hospital acute myocardial infarction (AMI) care is increasingly evaluated using composite quality scores. We investigated the influence of three aggregation methods for an AMI indicator on mortality and hospital rank. METHODS AND RESULTS: We studied 136,392 patients discharged alive from 199 hospitals with AMI recorded in the Myocardial Ischaemia National Audit Project, between 01/01/2008 and 31/12/2009. A composite of prescription of aspirin, thienopyridine inhibitor, ß-blocker, angiotensin converting enzyme inhibitor, HMG CoA reductase enzyme inhibitor and enrolment in cardiac rehabilitation at discharge was aggregated as opportunity based (OBCS), weighted opportunity-based (WOBCS) and all-or-nothing (ANCS) scores. We quantified adjusted 30-day, 6-month and 1-year mortality rates and hospital performance rank. Median (IQR) scores were OBCS: 95.0% (3.5), WOBCS: 94.7% (0.8) and ANCS: 80.9% (11.8). The three methods affected the proportion of hospitals outside 99.8% credible limits of the national median (OBCS: 52.2%, WOBCS: 64.3% and ANCS: 37.7%) and hospital rank. Each 1% increase in composite score was significantly associated with a 1 to 3% and a 4% reduction in 6-month and 1-year mortality, respectively. However, the ANCS had fewer cases and no significant association with 30-day mortality. CONCLUSIONS: A hospital composite score, incorporating 6 aspects of AMI care, was significantly inversely associated with mortality. However, composite aggregation method influenced hospital rank, number of cases available for analysis and size of the association with all-cause mortality, with the ANCS performing least well. The use and choice of composite scores in hospital AMI quality improvement requires careful evaluation.

Age-dependent inequalities in improvements in mortality occur early after acute myocardial infarction in 478,242 patients in the Myocardial Ischaemia National Audit Project (MINAP) registry.

BACKGROUND: Mortality rates after acute myocardial infarction (AMI) have declined, but there is uncertainty regarding the extent of improvements in early mortality in the elderly. METHODS: Mixed-effects regression analysis of 30-day mortality using data from 478,242 patients with AMI at 215 hospitals in England and Wales stratified by STEMI/NSTEMI, sex, and age group. A hospital opportunity-based composite score (OBCS) for aspirin, ACE-inhibitor, statin, ß blocker, and referral for cardiac rehabilitation was used as measure of quality of hospital care. RESULTS: 30-day mortality rates (95% CI) fell from 10.7% (10.6 to 10.9%) in 2004/5 to 8.4% (8.3 to 8.6%) in 2008/9. The median (IQR) hospital OBCSs increased over time, 2004/5: 87.3 (7.2), 2006/7: 88.9 (6.3), 2008/9: 90.3 (6.1), P<0.001, and were similar between age groups (18 to <65 years, 65 to 79 years, and ≥ 80 years) for STEMI: 89.4 (6.5) vs. 89.4 (6.6), vs. 89.2 (6.5) and NSTEMI: 88.6 (7.3) vs. 88.8 (7.0) vs. 88.9 (7.0), respectively For males, all age groups except patients <65 years demonstrated a significant decrease in adjusted mortality. For females, only patients ≥ 80 years demonstrated a significant reduction in adjusted mortality. A 1% increase in hospital OBCS was associated with a 1% decrease in 30-day mortality (95% CI: 0.99 to 0.99, P<0.001). CONCLUSION: In England and Wales, for patients with AMI there are age and sex-dependent differences in improvements in 30-day mortality. Whereas young males with AMI have reached an acceptable performance plateau, all other groups are either improving or, more importantly, are yet to demonstrate this.

Statistical profiling of hospital performance using acute coronary syndrome mortality.

BACKGROUND: In order to improve the quality of care delivered to patients and to enable patient choice, public reports comparing hospital performances are routinely published. Robust systems of hospital 'report cards' on performance monitoring and evaluation are therefore crucial in medical decision-making processes. In particular, such systems should effectively account for and minimise systematic differences with regard to definitions and data quality, care and treatment quality, and 'case mix'. METHODS: Four methods for assessing hospital performance on mortality outcome measures were considered. The methods included combinations of Bayesian fixed- and random-effects models, and risk-adjusted mortality rate, and rank-based profiling techniques. The methods were empirically compared using 30-day mortality in patients admitted with acute coronary syndrome. Agreement was firstly assessed using median estimates between risk-adjusted mortality rates for a hospital and between ranks associated with a hospital's risk-adjusted mortality rates. Secondly, assessment of agreement was based on a classification of hospitals into low, normal or high performing using risk-adjusted mortality rates and ranks. RESULTS: There was poor agreement between the point estimates of risk-adjusted mortality rates, but better agreement between ranks. However, for categorised performance, the observed agreement between the methods' classification of the hospital performance ranged from 90 to 98%. In only two of the six possible pair-wise comparisons was agreement reasonable, as reflected by a Kappa statistic; it was 0.71 between the methods of identifying outliers with the fixed-effect model and 0.77 with the hierarchical model. In the remaining four pair-wise comparisons, the agreement was, at best, moderate. CONCLUSIONS: Even though the inconsistencies among the studied methods raise questions about which hospitals performed better or worse than others, it seems that the choice of the definition of outlying performance is less critical than that of the statistical approach. Therefore there is a need to find robust systems of 'regulation' or 'performance monitoring' that are meaningful to health service practitioners and providers.

Impact of missing data on standardised mortality ratios for acute myocardial infarction: evidence from the Myocardial Ischaemia National Audit Project (MINAP) 2004-7.

BACKGROUND: Standardised mortality ratios (SMR) are often used to depict cardiovascular care. Data missingness, data quality, temporal variation and case-mix can, however, complicate the assessment of clinical performance. OBJECTIVES: To study Primary Care Trust (PCT) 30-day SMRs for STEMI and NSTEMI whilst considering the impact of missing data for age, sex and IMD score. DESIGN: Observational study using data from the Myocardial Ischaemia National Audit Project (MINAP) database to generate PCT SMR maps and funnel plots for England, 2004-2007. PATIENTS: 217,157 PATIENTS: 40.4% STEMI and 59.6% NSTEMI. RESULTS: 95% CI 30-day unadjusted mortality: STEMI 5.8% to 6.2%; NSTEMI 6.6% to 6.9%; relative risk, 95% CI 1.14, 1.10 to 1.19. Median (IQR) data missingess by PCT for composite of age, sex and IMD score was 1.4% (0.7% to 2.2%). For STEMI and NSTEMI statistically significant predictors of mortality were mean age (STEMI: P<0.001; NSTEMI: P<0.001), proportion of females (STEMI: P<0.001; NSTEMI: P<0.001) and proportion of missing ages (STEMI: P=0.02; NSTEMI: P<0.001). Proportion of missing sex also predicted 30-day mortality for NSTEMI (P=0.01). Maps of SMRs demonstrated substantial mortality variation, but no evidence of North / South divide. There were significant correlations between STEMI and NSTEMI observed (R² 0.72) and standardised mortality (R² 0.49) rates. PCT data aggregation gave an acceptable model fit in terms of deviance explained. For STEMI there were 33 (21.7%) regions below the 99.8% lower limit of the associated performance funnel plot, and 28 (18.4%) for NSTEMI; the inclusion of missing data did not affect the distribution of SMRs. CONCLUSIONS: The proportion of missing data was associated with 30-day mortality for STEMI and NSTEMI, however it did not influence the distribution of PCTs within the funnel plots. There was considerable variation in mortality not attributable to key patient-specific factors, supporting the notion of regional-dependent variation in STEMI and NSTEMI care.