Racial and Ethnic Disparities in Primary Prevention of Cardiovascular Disease.

Cardiovascular disease (CVD) disproportionately affects ethnic-minority groups globally. Ethnic-minority groups face particularly high CVD burden and mortality, exacerbated by disparities across modifiable risk factors, wider determinants of health, and limited access to preventative interventions. This narrative review summarizes evidence on modifiable risk factors, such as physical activity, hypertension, diet, smoking, alcohol consumption, diabetes, and the polypill for the primary prevention of CVD in ethnic minorities. Across these factors, we find inequities in risk factor prevalence. The evidence underscores that inequalities in accessibility to interventions and treatments impede progress in reducing CVD risk using primary prevention interventions for ethnic-minority people. Although culturally tailored interventions show promise, further research is required across the different risk factors. Social determinants of health and structural inequities also exacerbate CVD risk for ethnic-minority people and warrant greater attention. Additionally, we find that only limited ethnicity-specific data and guidelines are available on CVD primary prevention interventions for most risk factors. To address these gaps in research, we provide recommendations that include the following: investigating the sustainability and real-world effectiveness of culturally sensitive interventions; ensuring that ethnic-minority peoples' perspectives are considered in research; longitudinal tracking of risk factors; interventions and outcomes in ethnic-minority people; and ensuring that data collection and reporting of ethnicity data are standardized.

Blood pressure levels and adverse cardiovascular outcomes in heart failure: A systematic review and meta-analysis.

AIM: Existing data on the association between blood pressure levels and adverse cardiovascular outcomes in patients with heart failure (HF) are inconsistent. The optimal blood pressure targets for patients with HF remain uncertain. This study sought to assess the associations between blood pressure (systolic [SBP] and diastolic blood pressure [DBP]) levels and adverse cardiovascular disease (CVD) outcomes in patients with HF. METHODS AND RESULTS: A systematic review and meta-analysis were conducted using MEDLINE, Embase, the Cochrane Library, and Web of Science databases up to 5 May 2023. The outcomes of interest included adverse cardiovascular events and all-cause mortality. Pooled relative risks (RRs) with corresponding 95% confidence intervals (CIs) were calculated. Forty-three unique observational cohort studies, comprising 120 643 participants with HF, were included. The pooled RRs (95% CIs) for SBP thresholds of ≥140 mmHg versus <140 mmHg were 0.92 (0.83-1.01) for all-cause mortality, 0.83 (0.67-1.04) for CVD death, and 0.98 (0.80-1.21) for HF hospitalization. The pooled RR (95% CI) for SBP thresholds of ≥160 mmHg versus <160 mmHg and all-cause mortality was 0.67 (0.62-0.74). SBP levels below <130, <120, and <110 mmHg were each associated with an increased risk of various cardiovascular endpoints and all-cause mortality. The pooled RR (95% CI) for DBP thresholds of ≥80 mmHg versus <80 mmHg and all-cause mortality was 0.86 (0.67-1.10). A 10 mmHg increase in SBP or DBP was associated with a reduction in all-cause mortality and other cardiovascular endpoints. CONCLUSIONS: The findings suggest that lower and normal baseline SBP levels (<130, <120, and <110 mmHg) may be associated with future risk of worse outcomes in patients with HF. Optimal baseline blood pressure levels for these patients may lie within the range of ≥140 mmHg for SBP. In the absence of observational studies with repeated blood pressure measurements or definitive trials evaluating optimal blood pressure targets, individualized blood pressure targets based on patients' unique circumstances are warranted in HF management.

Changing health related quality of life and outcomes in heart failure by age, sex and subtype.

Background: There are calls to integrate serial recordings of health related quality of life (HRQoL) into routine care, clinical trials and prognosis. Little is known about the relationship between change in HRQoL and outcomes in heart failure (HF) patients by age, sex and HF subtype. Method: From the Swedish Heart Failure Registry (SwedeHF; 2008-2019), patients were categorised by reduced (<40%, HFrEF), mildly-reduced (40-49%, HFmrEF) and preserved (≥50%, HFpEF) ejection fraction. HRQoL was measured using Euro-QoL-5D visual analogue scale (EQ5D-vas), collected at baseline and 1-year. Baseline EQ5D-vas scores were categorised by: "best" (76-100), "good" (51-75), "bad" (26-50), and "worst" (0-25). Change in EQ5D-vas was categorised as 'no significant change' (<5 points increase/decrease); some worsening (5-9 points decrease); considerable worsening (≥10 points decrease); some improvement (5-9 points increase); considerable improvement (≥10 points increase). Associations with admission and death were estimated and interactions with patient sub-groups tested. Findings: Among 23,553 patients (median age 74 [66-81] years, 8000 [34%] female), baseline EQ5D-vas was worse in older patients, women, and those with HFpEF compared to their respective counterparts. Compared to patients with the "best" EQ5D-vas, the adjusted associations for admission for those with "good", "bad" and "worst" EQ5D-vas were, respectively: HR 1.09 (1.04, 1.14), 1.27 (1.21, 1.33) and 1.39 (1.28, 1.51). Compared to no significant change in EQ5D-vas, the adjusted estimates for admission following some improvement, considerable improvement, some worsening and considerable worsening were, respectively: HR 0.91 (0.82, 1.01), 0.75 (0.70, 0.81), 1.04 (0.92, 1.16) and 1.25 (1.16, 1.35). Results were similar amongst groups and for HF admission and death. Interpretation: Change in HRQoL was an independent indicator of risk of admission and death in people with all HF subtypes, irrespective of age and sex. Funding: NIHR.

Association Between Diabetes, Chronic Kidney Disease, and Outcomes in People With Heart Failure From Asia.

Background: Diabetes mellitus (DM), chronic kidney disease (CKD), and heart failure (HF) are pathophysiologically linked and increasing in prevalence in Asian populations, but little is known about the interplay of DM and CKD on outcomes in HF. Objectives: This study sought to investigate outcomes in patients with heart failure with preserved ejection fraction (HFpEF) vs heart failure with reduced ejection fraction (HFrEF) in relation to the presence of DM and CKD. Methods: Using the multinational ASIAN-HF registry, we investigated associations between DM only, CKD only, and DM+CKD with: 1) composite of 1-year mortality or HF hospitalization; and 2) Kansas City Cardiomyopathy Questionnaire scores, according to HF subtype. Results: In 5,239 patients with HF (74.6% HFrEF, 25.4% HFpEF; mean age 63 years; 29.1% female), 1,107 (21.1%) had DM only, 1,087 (20.7%) had CKD only, and 1,400 (26.7%) had DM+CKD. Compared with patients without DM nor CKD, DM+CKD was associated with 1-year all-cause mortality or HF hospitalization in HFrEF (adjusted HR: 2.07; 95% CI: 1.68-2.55) and HFpEF (HR: 2.37; 95% CI: 1.40-4.02). In HFrEF, DM only and CKD only were associated with 1-year all-cause mortality or HF hospitalization (both HRs: 1.43; 95% CI: 1.14-1.80), while in HFpEF, CKD only (HR: 2.54; 95% CI: 1.46-4.41) but not DM only (HR: 1.01; 95% CI: 0.52-1.95) was associated with increased risk (interaction P < 0.01). Adjusted Kansas City Cardiomyopathy Questionnaire scores were lower in patients with DM+CKD (HFrEF: mean 60.50, SEM 0.77, HFpEF: mean 70.10, SEM 1.06; P < 0.001) than with no DM or CKD (HFrEF: mean 66.00, SEM 0.65; and HFpEF: mean 75.80, SEM 0.99). Conclusions: Combined DM and CKD adversely effected outcomes independently of HF subtype, with CKD a consistent predictor of worse outcomes. Strategies to prevent and treat DM and CKD in HF are urgently required.

Patient-Reported Status and Heart Failure Outcomes in Asia by Sex, Ethnicity, and Socioeconomic Status.

Background: In heart failure (HF), symptoms and health-related quality of life (HRQoL) are known to vary among different HF subgroups, but evidence on the association between changing HRQoL and outcomes has not been evaluated. Objectives: The authors sought to investigate the relationship between changing symptoms, signs, and HRQoL and outcomes by sex, ethnicity, and socioeconomic status (SES). Methods: Using the ASIAN-HF (Asian Sudden Cardiac Death in Heart Failure) Registry, we investigated associations between the 6-month change in a "global" symptoms and signs score (GSSS), Kansas City Cardiomyopathy Questionnaire overall score (KCCQ-OS), and visual analogue scale (VAS) and 1-year mortality or HF hospitalization. Results: In 6,549 patients (mean age: 62 ± 13 years], 29% female, 27% HF with preserved ejection fraction), women and those in low SES groups had higher symptom burden but lower signs and similar KCCQ-OS to their respective counterparts. Malay patients had the highest GSSS (3.9) and lowest KCCQ-OS (58.5), and Thai/Filipino/others (2.6) and Chinese patients (2.7) had the lowest GSSS scores and the highest KCCQ-OS (73.1 and 74.6, respectively). Compared to no change, worsening of GSSS (>1-point increase), KCCQ-OS (≥10-point decrease) and VAS (>1-point decrease) were associated with higher risk of HF admission/death (adjusted HR: 2.95 [95% CI: 2.14-4.06], 1.93 [95% CI: 1.26-2.94], and 2.30 [95% CI: 1.51-3.52], respectively). Conversely, the same degrees of improvement in GSSS, KCCQ-OS, and VAS were associated with reduced rates (HR: 0.35 [95% CI: 0.25-0.49], 0.25 [95% CI: 0.16-0.40], and 0.64 [95% CI: 0.40-1.00], respectively). Results were consistent across all sex, ethnicity, and SES groups (interaction P > 0.05). Conclusions: Serial measures of patient-reported symptoms and HRQoL are significant and consistent predictors of outcomes among different groups with HF and provide the potential for a patient-centered and pragmatic approach to risk stratification.

Aortic valve intervention rates in patients of different ethnicity with severe aortic stenosis in Leicestershire, UK.

OBJECTIVES: To explore the ethnic differences in patients undergoing aortic valve (AV) intervention for severe aortic stenosis (AS) in Leicestershire, UK. METHODS: Retrospective cohort study of all surgical aortic valve replacement (SAVR) and transcatheter aortic valve implantation (TAVI) at a single tertiary centre between April 2017 and March 2022, using local registry data. RESULTS: Of the 1231 SAVR and 815 TAVI performed, 6.5% and 3.7% were in ethnic minority patients, respectively. Based on the 2011 Census data for those with a Leicestershire postcode, crude cumulative rate of SAVR (n=489) was 0.64 per 1000 population overall and 0.69, 0.46 and 0.36 in White, Asian and Black populations, respectively; and 0.50 per 1000 population overall for TAVI (n=383), with 0.59, 0.16 and 0.06 for White, Asian and Black populations, respectively. Asians undergoing SAVR and TAVI were 5 and 3 years younger, respectively, than white patients with more comorbidities and a worse functional status.The age-adjusted cumulative rates for SAVR were 0.62 vs 0.72 per 1000 population for White and Asian patients and 0.51 vs 0.39 for TAVI. Asians were less likely to undergo SAVR and TAVI than White patients, with a risk ratio (RR) of 0.66 (0.50-0.87) and 0.27 (0.18-0.43), respectively, but the age-adjusted RR was not statistically significant. CONCLUSION: The crude rates of AV interventions are lower in Asian patients compared with the White population in Leicestershire, although age-adjusted rates were not statistically different. Further research to determine the sociodemographic differences in prevalence, incidence, mechanisms and treatment of AS across the UK is required.

Patient-Reported Versus Physician-Assessed Health Status in Heart Failure With Reduced and Preserved Ejection Fraction From ASIAN-HF Registry.

BACKGROUND: We aimed to assess if discordance between patient-reported Kansas City Cardiomyopathy Questionnaire (KCCQ)-overall summary (os) score and physician-assessed New York Heart Association (NYHA) class is common among patients with heart failure (HF) with reduced or preserved ejection fraction, and determine its association with outcomes. METHODS: A total of 4818 patients with HF were classified according to KCCQ-os score (range 0-100, dichotomized by median value 71.9 into high [good] versus low [bad]) and NYHA class (I/II [good] or III/IV [bad]) as concordant good (low NYHA class, high KCCQ-os score), concordant bad (high NYHA class, low KCCQ-os score), discordant worse NYHA class (high NYHA class, high KCCQ-os score), and discordant worse KCCQ-os score (low NYHA class, low-KCCQ-os score). The composite of HF hospitalization or death at 1 year was compared across groups. RESULTS: There were 2070 (43.0%) concordant good, 1099 (22.8%) concordant bad, 331 (6.9%) discordant worse NYHA class, and 1318 (27.4%) discordant worse KCCQ-os score patients. Compared with concordant good, adverse outcomes were the highest in concordant bad (HR, 2.7 [95% CI, 2.2-3.5]) followed by discordant worse KCCQ-os score (HR, 1.8 [95% CI, 1.4-2.2]) and discordant worse NYHA class (HR, 1.5 [95% CI, 1.0-2.3]); with no modification by HF phenotype (preserved versus reduced ejection fraction, Pinteraction=0.52). At 6 months, 1403 (48%) experienced clinically significant improvement in KCCQ-os score (≥5 points increase over 6 months). Patients with improved KCCQ-os at 6 months (HR, 0.65 [95% CI, 0.47-0.92]) had better outcomes and the association was not modified by HF phenotype (Pinteraction=0.40). CONCLUSIONS: One-third of patients with HF had discordance between patient-reported and clinician-assessed health status, largely attributable to worse patient-reported outcomes. Such discordance, particularly in those with discordantly worse KCCQ, should alert physicians to an increased risk of HF hospitalization and death, and prompt further assessment for potential drivers of worse patient-reported outcomes relative to physicians' assessment.

Mortality associated with metabolic syndrome in people with COPD managed in primary care.

Objective: The prevalence of metabolic syndrome (MetS) has been reported to be higher in selected populations of people with COPD. The impact of MetS on mortality in COPD is unknown. We used routinely collected healthcare data to estimate the prevalence of MetS in people with COPD managed in primary care and determine its impact on 5-year mortality. Methods: Records from 103 955 patients with COPD from the Clinical Practice Research Datalink (CPRD-GOLD) between 2009 to 2017 were scrutinised. MetS was defined as the presence of three or more of: obesity, hypertension, lowered high-density lipoprotein cholesterol, elevated triglycerides or type 2 diabetes mellitus (T2DM). Univariate and multivariable Cox regression models were constructed to determine the prognostic impact of MetS on 5-year mortality. Similar univariate models were constructed for individual components of the definition of MetS. Results: The prevalence of MetS in the COPD cohort was 10.1%. Univariate analyses showed the presence of MetS increased mortality (hazard ratio (HR) 1.19, 95% CI: 1.12-1.27, p<0.001), but this risk was substantially attenuated in the multivariable analysis (HR 1.06, 95% CI: 0.99-1.13, p=0.085). The presence of hypertension (HR 1.70, 95% CI: 1.63-1.77, p<0.001) and T2DM (HR 1.41, 95% CI: 1.34-1.48, p<0.001) increased and obesity (HR 0.74, 95% CI: 0.71-0.78, p<0.001) reduced mortality risk. Conclusion: MetS in patients with COPD is associated with higher 5-year mortality, but this impact was minimal when adjusted for indices of COPD disease severity and other comorbidities. Individual components of the MetS definition exerted differential impacts on mortality suggesting limitation to the use of MetS as a multicomponent condition in predicting outcome in COPD.

Developing a core outcome set for patient-reported symptom monitoring to reduce hospital admissions for patients with heart failure.

AIMS: In patients with heart failure (HF), hospitalization rates are increasing, particularly for non-HF causes and over half may be avoidable. Self-monitoring of symptoms plays a key part in the early identification of deterioration. Our objective was to develop expert consensus for a core outcome set (COS) of symptoms to be monitored by patients, using validated single-item patient-reported outcome measures (PROMs), focused on the key priority of reducing admissions in HF. METHODS AND RESULTS: A rigorous COS development process incorporating systematic review, modified e-Delphi and nominal group technique (NGT) methods. Participants included 24 HF patients, 4 carers, 29 HF nurses, and 9 doctors. In three Delphi and NGT rounds, participants rated potential outcomes on their importance before a HF or a non-HF admission using a 5-point Likert scale. Opinion change between rounds was assessed and a two-thirds threshold was used for outcome selection.Item generation using systematic review identified 100 validated single-item PROMs covering 34 symptoms or signs, relevant to admission for people with HF. De-duplication and formal consensus processes, resulted in a COS comprising eight symptoms and signs; shortness of breath, arm or leg swelling, abdomen bloating, palpitations, weight gain, chest pain, anxiety, and overall health. In the NGT, a numerical rating scale was selected as the optimal approach to symptom monitoring. CONCLUSION: Recognition of a range of HF-specific and general symptoms, alongside comorbidities, is an important consideration for admission prevention. Further work is needed to validate and integrate the COS in routine care with the aim of facilitating faster identification of clinical deterioration.

Admission Blood Glucose Level and Its Association With Cardiovascular and Renal Complications in Patients Hospitalized With COVID-19.

OBJECTIVE: To investigate the association between admission blood glucose levels and risk of in-hospital cardiovascular and renal complications. RESEARCH DESIGN AND METHODS: In this multicenter prospective study of 36,269 adults hospitalized with COVID-19 between 6 February 2020 and 16 March 2021 (N = 143,266), logistic regression models were used to explore associations between admission glucose level (mmol/L and mg/dL) and odds of in-hospital complications, including heart failure, arrhythmia, cardiac ischemia, cardiac arrest, coagulation complications, stroke, and renal injury. Nonlinearity was investigated using restricted cubic splines. Interaction models explored whether associations between glucose levels and complications were modified by clinically relevant factors. RESULTS: Cardiovascular and renal complications occurred in 10,421 (28.7%) patients; median admission glucose level was 6.7 mmol/L (interquartile range 5.8-8.7) (120.6 mg/dL [104.4-156.6]). While accounting for confounders, for all complications except cardiac ischemia and stroke, there was a nonlinear association between glucose and cardiovascular and renal complications. For example, odds of heart failure, arrhythmia, coagulation complications, and renal injury decreased to a nadir at 6.4 mmol/L (115 mg/dL), 4.9 mmol/L (88.2 mg/dL), 4.7 mmol/L (84.6 mg/dL), and 5.8 mmol/L (104.4 mg/dL), respectively, and increased thereafter until 26.0 mmol/L (468 mg/dL), 50.0 mmol/L (900 mg/dL), 8.5 mmol/L (153 mg/dL), and 32.4 mmol/L (583.2 mg/dL). Compared with 5 mmol/L (90 mg/dL), odds ratios at these glucose levels were 1.28 (95% CI 0.96, 1.69) for heart failure, 2.23 (1.03, 4.81) for arrhythmia, 1.59 (1.36, 1.86) for coagulation complications, and 2.42 (2.01, 2.92) for renal injury. For most complications, a modifying effect of age was observed, with higher odds of complications at higher glucose levels for patients age <69 years. Preexisting diabetes status had a similar modifying effect on odds of complications, but evidence was strongest for renal injury, cardiac ischemia, and any cardiovascular/renal complication. CONCLUSIONS: Increased odds of cardiovascular or renal complications were observed for admission glucose levels indicative of both hypo- and hyperglycemia. Admission glucose could be used as a marker for risk stratification of high-risk patients. Further research should evaluate interventions to optimize admission glucose on improving COVID-19 outcomes.

Obesity, chronic disease, age, and in-hospital mortality in patients with covid-19: analysis of ISARIC clinical characterisation protocol UK cohort.

BACKGROUND: Although age, obesity and pre-existing chronic diseases are established risk factors for COVID-19 outcomes, their interactions have not been well researched. METHODS: We used data from the Clinical Characterisation Protocol UK (CCP-UK) for Severe Emerging Infection developed by the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC). Patients admitted to hospital with COVID-19 from 6th February to 12th October 2020 were included where there was a coded outcome following hospital admission. Obesity was determined by an assessment from a clinician and chronic disease by medical records. Chronic diseases included: chronic cardiac disease, hypertension, chronic kidney disease, chronic pulmonary disease, diabetes and cancer. Mutually exclusive categories of obesity, with or without chronic disease, were created. Associations with in-hospital mortality were examined across sex and age categories. RESULTS: The analysis included 27,624 women with 6407 (23.2%) in-hospital deaths and 35,065 men with 10,001 (28.5%) in-hospital deaths. The prevalence of chronic disease in women and men was 66.3 and 68.5%, respectively, while that of obesity was 12.9 and 11.1%, respectively. Association of obesity and chronic disease status varied by age (p < 0.001). Under 50 years of age, obesity and chronic disease were associated with in-hospital mortality within 28 days of admission in a dose-response manner, such that patients with both obesity and chronic disease had the highest risk with a hazard ratio (HR) of in-hospital mortality of 2.99 (95% CI: 2.12, 4.21) in men and 2.16 (1.42, 3.26) in women compared to patients without obesity or chronic disease. Between the ages of 50-69 years, obesity and chronic disease remained associated with in-hospital COVID-19 mortality, but survival in those with obesity was similar to those with and without prevalent chronic disease. Beyond the age of 70 years in men and 80 years in women there was no meaningful difference between those with and without obesity and/or chronic disease. CONCLUSION: Obesity and chronic disease are important risk factors for in-hospital mortality in younger age groups, with the combination of chronic disease and obesity being particularly important in those under 50 years of age. These findings have implications for targeted public health interventions, vaccination strategies and in-hospital clinical decision making.

Socioeconomic Status and Outcomes in Heart Failure With Reduced Ejection Fraction From Asia.

BACKGROUND: Little is known regarding the impact of socioeconomic factors on the use of evidence-based therapies and outcomes in patients with heart failure with reduced ejection fraction across Asia. METHODS: We investigated the association of both patient-level (household income, education levels) and country-level (regional income level by World Bank classification, income disparity by Gini index) socioeconomic indicators on use of guideline-directed therapy and clinical outcomes (composite of 1-year mortality or HF hospitalization, quality of life) in the prospective multinational ASIAN-HF study (Asian Sudden Cardiac Death in Heart Failure). RESULTS: Among 4540 patients (mean age: 60±13 years, 23% women) with heart failure with reduced ejection fraction, 39% lived in low-income regions; 34% in regions with high-income disparity (Gini ≥42.8%); 64.4% had low monthly household income (

Obesity, Ethnicity, and Risk of Critical Care, Mechanical Ventilation, and Mortality in Patients Admitted to Hospital with COVID-19: Analysis of the ISARIC CCP-UK Cohort.

OBJECTIVE: The aim of this study was to investigate the association of obesity with in-hospital coronavirus disease 2019 (COVID-19) outcomes in different ethnic groups. METHODS: Patients admitted to hospital with COVID-19 in the United Kingdom through the Clinical Characterisation Protocol UK (CCP-UK) developed by the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) were included from February 6 to October 12, 2020. Ethnicity was classified as White, South Asian, Black, and other minority ethnic groups. Outcomes were admission to critical care, mechanical ventilation, and in-hospital mortality, adjusted for age, sex, and chronic diseases. RESULTS: Of the participants included, 54,254 (age = 76 years; 45.0% women) were White, 3,728 (57 years; 41.1% women) were South Asian, 2,523 (58 years; 44.9% women) were Black, and 5,427 (61 years; 40.8% women) were other ethnicities. Obesity was associated with all outcomes in all ethnic groups, with associations strongest for black ethnicities. When stratified by ethnicity and obesity status, the odds ratios for admission to critical care, mechanical ventilation, and mortality in black ethnicities with obesity were 3.91 (3.13-4.88), 5.03 (3.94-6.63), and 1.93 (1.49-2.51), respectively, compared with White ethnicities without obesity. CONCLUSIONS: Obesity was associated with an elevated risk of in-hospital COVID-19 outcomes in all ethnic groups, with associations strongest in Black ethnicities.

Outcome trends in people with heart failure, type 2 diabetes mellitus and chronic kidney disease in the UK over twenty years.

BACKGROUND: Heart failure (HF) together with type 2 diabetes (T2D) and chronic kidney disease (CKD) are major pandemics of the twenty first century. It is not known in people with new onset HF, what the distinct and combined associations are between T2D and CKD comorbidities and cause-specific hospital admissions and death, over the past 20 years. METHODS: An observational study using the UK Clinical Practice Research Datalink linked to the Hospital Episode Statistics in England (1998-2017). Participants were people aged ≥30 years with new onset HF. Exposure groups were HF with: (i) no T2D and no CKD (reference group); (ii) CKD-only (estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2); (iii) T2D-only; (iv) T2D and CKD. CKD severity groups were: CKD-3a (eGFR 45-59); CKD-3b (30-44); CKD-4 (15-29); CKD-5 (<15). Outcomes were cardiovascular and non-cardiovascular hospitalisations and all-cause death. FINDINGS: In 87,709 HF patients (mean age, 78 years; 49% female), 40% had CKD-only, 12% T2D-only, and 16% both. Age-standardised first-year CVD hospitalisation rates were significantly higher in HF patients with CKD-only (46.4; 95% CI 44.9,47.9 per 100 person years) and T2D-only (49.2; 46.7,58.8) than in the reference group (35.1; 34.0,36.1); the highest rate was in patients with T2D-CKD-5: 89.1 (65.8,112.4). Similar patterns were observed for non-CVD hospitalisations and deaths. Group differences remained significant after adjustment for potential confounders. Median survival was highest in the reference (4.4 years) and HF-T2D-only (4.1 years) groups, compared to HF-CKD-only (2.2 years). HF-T2D-CKD group survival ranged from 2.8 (CKD-3a) to 0.7 years (CKD-5). Over time, CVD hospitalisation rates significantly increased for HF-CKD-only (+26%) and reduced (-24%) for HF-T2D-only groups; no reductions were observed in any of the HF-T2D-CKD groups. Trends were similar for non-CVD hospitalisations and death: whilst death rates significantly reduced for HF-T2D-only (-37%), improvement was not observed in any of the T2D-CKD groups. INTERPRETATION: In a cohort of people with new onset HF, hospitalisations and deaths are high in patients with T2D or CKD, and worst in those with both comorbidities. Whilst outcomes have improved over time for patients with HF and comorbid T2D, similar trends were not seen in those with comorbid CKD. Strategies to prevent and manage CKD in people with HF are urgently needed. FUNDING: NIHR fellowship [reference: NIHR 30011].

Patient-reported outcomes in heart failure with preserved vs. reduced ejection fraction: focus on physical independence.

AIMS: The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a widely used patient-reported outcome measure in heart failure (HF). The KCCQ was validated in patients with HF with reduced ejection fraction (HFrEF), leaving knowledge gaps regarding its applicability in HF with preserved ejection fraction (HFpEF). This study addresses the psychometric properties of internal consistency and reliability, construct, and known-group validity of KCCQ in both HFrEF and HFpEF. We aimed to evaluate the psychometric properties of the KCCQ and their prognostic significance in HFpEF and HFrEF, within a large prospective multinational HF cohort. METHODS AND RESULTS: We examined the 23-item KCCQ in the prospective multinational ASIAN-HF study [4470 HFrEF (ejection fraction <40%); 921 HFpEF (ejection fraction ≥50%)]. Internal consistency (using Cronbach's alpha) showed high reliability in HFrEF and HFpeF: functional status score: 0.89 and 0.91 and clinical summary score: 0.89 and 0.90, respectively. Confirmatory factor analysis in HFrEF validated the five original domains of KCCQ (physical function, symptoms, self-efficacy, social limitation, and quality of life); in HFpEF, questions measuring physical function and social limitation had strong correlation (r = 0.66) and different domains emerged. We proposed an additional physical independence summary score, especially in HFpEF (comprising the original physical function and social limitation domains), which showed good internal consistency (α = 0.89) and has comparable receiver operating characteristic curve 0.766 ± 0.037 with the clinical summary score (receiver operating characteristic curve 0.774 ± 0.037), in predicting 1 year death and/or HF hospitalization. CONCLUSIONS: Our results confirmed the robustness of the KCCQ clinical summary score in HF regardless of ejection fraction group. In the assessment of physical capacity in HFpEF, our results suggest strong interaction with social limitation, and we propose a summary score comprising both components be used.

Risk Factors for Heart Failure: 20-Year Population-Based Trends by Sex, Socioeconomic Status, and Ethnicity.

BACKGROUND: There are multiple risk factors for heart failure, but contemporary temporal trends according to sex, socioeconomic status, and ethnicity are unknown. METHODS: Using a national UK general practice database linked to hospitalizations (1998-2017), 108 638 incident heart failure patients were identified. Differences in risk factors among patient groups adjusted for sociodemographic factors and age-adjusted temporal trends were investigated using logistic and linear regression. RESULTS: Over time, a 5.3 year (95% CI, 5.2-5.5) age difference between men and women remained. Women had higher blood pressure, body mass index, and cholesterol than men (P<0.0001). Ischemic heart disease prevalence increased for all to 2006 before reducing in women by 0.5% per annum, reaching 42.7% (95% CI, 41.7-43.6), but not in men, remaining at 57.7% (95% CI, 56.9-58.6; interaction P=0.002). Diabetes mellitus prevalence increased more in men than in women (interaction P<0.0001). Age between the most deprived (74.6 years [95% CI, 74.1-75.1]) and most affluent (79.9 [95% CI, 79.6-80.2]) diverged (interaction P<0.0001), generating a 5-year gap. The most deprived had significantly higher annual increases in comorbidity numbers (+0.14 versus +0.11), body mass index (+0.14 versus +0.11 kg/m2), and lower smoking reductions (-1.2% versus -1.7%) than the most affluent. Ethnicity trend differences were insignificant, but South Asians were overall 6 years and the black group 9 years younger than whites. South Asians had more ischemic heart disease (+16.5% [95% CI, 14.3-18.6]), hypertension (+12.5% [95% CI, 10.5-14.3]), and diabetes mellitus (+24.3% [95% CI, 22.0-26.6]), and the black group had more hypertension (+12.3% [95% CI, 9.7-14.8]) and diabetes mellitus (+13.1% [95% CI, 10.1-16.0]) but lower ischemic heart disease (-10.6% [95% CI, -13.6 to -7.6]) than the white group. CONCLUSIONS: Population groups show distinct risk factor trend differences, indicating the need for contemporary tailored prevention programs.

Baseline risk, timing of invasive strategy and guideline compliance in NSTEMI: Nationwide analysis from MINAP.

BACKGROUND: International guidelines recommend that for NSTEMI, the timing of invasive strategy (IS) is a function of patient's baseline risk. The extent to which this is delivered across and within healthcare systems is unknown. METHODS: Data were derived from 137,265 patients admitted with an NSTEMI diagnosis between 2010 and 2015 in England and Wales. Patients were stratified into low, intermediate and high-risk in keeping with international guidelines. Time to IS was categorised into early (24 h), intermediate (25-72 h) and late (>72 h). Multivariable logistic regression models were used to identify independent predictors of guidelines recommended receipt of IS. RESULTS: There were 3608 (2.6%) low, 5037 (3.7%) intermediate and 128,621 (93.7%) high-risk patients. Guidelines recommended use of IS was significantly lower in high-risk (16.4%) compared to intermediate (64.7%) and low-risk (62.5%) groups. Both men and women in the low-risk category were almost twice as likely to receive early IS compared to high-risk men (28.9% vs 17%, p < 0.001) and women (26.9% vs 15%, p < 0.001). Women (OR 0.91 95%CI 0.88-0.94), troponin elevation (OR 0.39 95%CI 0.36-0.43) and acute heart failure on admission (OR 0.65 95%CI 0.61-0.70) were strong negative predictors of receiving IS within recommended time in the high-risk group. CONCLUSION: Our study shows that IS for management of NSTEMI is not delivered according to international guidelines recommendations. Specifically, the disconnect between baseline risk and utility of IS increases with increasing risk and women achieve slower access than men to IS.

Trends in Cause-Specific Outcomes Among Individuals With Type 2 Diabetes and Heart Failure in the United Kingdom, 1998-2017.

Importance: The phenotype of individuals with type 2 diabetes and heart failure (HF) is changing. Successful public health interventions for type 2 diabetes mean that patients more frequently present with HF without a prior ischemic event, which is likely to change outcomes, but trends in cause-specific outcomes are unknown. Objective: To investigate cause-specific outcomes and trends associated with type 2 diabetes among individuals with incident HF. Design, Setting, and Participants: This cohort study used UK primary care data, linked to hospital admissions and mortality, for 87 709 patients with incident HF from 1998 to 2017. Patients were 30 years or older and observed to death or July 31, 2017. Data analysis was conducted in March and April 2019. Exposure: Preexisting type 2 diabetes at diagnosis of HF. Individuals with type 1 diabetes were excluded. Main Outcomes and Measures: All-cause, cardiovascular (CVD), and non-CVD unplanned hospitalizations and mortality rates. Results: Of 87 709 patients with HF (43 173 [49.2%] women; 78 211 [89.2%] white), 20 858 (23.8%) had type 2 diabetes (median [interquartile range] age, 78.0 [70.0 to 84.0] years), and 66 851 (76.2%) had no diabetes (median [interquartile range] age, 80.0 [72.0 to 86.0] years). In patients with HF, type 2 diabetes was associated with an increase in the risk of unplanned hospital admission (adjusted incidence rate ratio for CVD hospitalizations: 1.24; 95% CI, 1.19 to 1.30; for non-CVD hospitalizations: 1.26; 95% CI, 1.22 to 1.30) and an increase in the risk of mortality (adjusted hazard ratio for CVD mortality: 1.06; 95% CI, 1.02 to 1.10; for non-CVD mortality: 1.24; 95% CI, 1.19 to 1.29). Age-standardized mortality risk at 1 year was 35.6% (95% CI, 35.1% to 36.1%) in the type 2 diabetes group vs 29.2% (95% CI, 29.0% to 29.5%) in the group with no diabetes. During the study period (ie, 1998 to 2017), associations of type 2 diabetes with hospitalization and mortality rates decreased for CVD outcomes but not for non-CVD outcomes. Age-adjusted hospitalization rates during the first year following HF diagnosis increased similarly for both groups over time (eg, HF with type 2 diabetes, 1998 to 2001: 133.3 per 100 person-years; 95% CI, 102.2 to 105.4 per 100 person-years; 2012 to 2015: 152.5 per 100 person-years; 95% CI, 145.5 to 159.5 per 100 person-years; P for difference in trend = .06), but trends diverged by cause. For example, hospitalizations for HF decreased for patients with type 2 diabetes at approximately the same annual rate (-2.2%; 95% CI, -3.9% to -0.5%) as they increased for those without diabetes (1.7%; 95% CI, 1.1% to 2.3%; P for difference in trend < .001). After 2004, a trend emerged showing a greater increase in non-CVD admissions among patients with HF and type 2 diabetes than among patients with no diabetes (2.3% [95% CI, 0.9% to 3.6%] vs 1.1% [95% CI, 0.8% to 1.4%]). In contrast to hospitalization rates, mortality rates reduced over time in both groups, but the reduction was greater among those with type 2 diabetes than without (-1.4% [95% CI, -1.8% to -0.9%] vs -0.7% [95% CI, -1.2% to -0.2%]; P for difference in trend < .001). Conclusions and Relevance: In this study, the higher risk of all cause-specific outcomes and emerging non-CVD trends associated with patients with type 2 diabetes who experienced HF indicated an urgent need for earlier comorbidity management and patient-centered multimorbidity care.