Long COVID and cardiovascular disease: a prospective cohort study.

BACKGROUND: Pre-existing cardiovascular disease (CVD) or cardiovascular risk factors have been associated with an increased risk of complications following hospitalisation with COVID-19, but their impact on the rate of recovery following discharge is not known. OBJECTIVES: To determine whether the rate of patient-perceived recovery following hospitalisation with COVID-19 was affected by the presence of CVD or cardiovascular risk factors. METHODS: In a multicentre prospective cohort study, patients were recruited following discharge from the hospital with COVID-19 undertaking two comprehensive assessments at 5 months and 12 months. Patients were stratified by the presence of either CVD or cardiovascular risk factors prior to hospitalisation with COVID-19 and compared with controls with neither. Full recovery was determined by the response to a patient-perceived evaluation of full recovery from COVID-19 in the context of physical, physiological and cognitive determinants of health. RESULTS: From a total population of 2545 patients (38.8% women), 472 (18.5%) and 1355 (53.2%) had CVD or cardiovascular risk factors, respectively. Compared with controls (n=718), patients with CVD and cardiovascular risk factors were older and more likely to have had severe COVID-19. Full recovery was significantly lower at 12 months in patients with CVD (adjusted OR (aOR) 0.62, 95% CI 0.43 to 0.89) and cardiovascular risk factors (aOR 0.66, 95% CI 0.50 to 0.86). CONCLUSION: Patients with CVD or cardiovascular risk factors had a delayed recovery at 12 months following hospitalisation with COVID-19. Targeted interventions to reduce the impact of COVID-19 in patients with cardiovascular disease remain an unmet need. TRAIL REGISTRATION NUMBER: ISRCTN10980107.

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.

Symptoms and signs in patients with heart failure: association with 3-month hospitalisation and mortality.

OBJECTIVES: To determine the association between symptoms and signs reported in primary care consultations following a new diagnosis of heart failure (HF), and 3-month hospitalisation and mortality. DESIGN: Nested case-control study with density-based sampling. SETTING: Clinical Practice Research Datalink, linked to hospitalisation and mortality (1998-2020). PARTICIPANTS: Database cohort of 86 882 patients with a new HF diagnosis. In two separate analyses for (1) first hospitalisation and (2) death, we compared the 3-month history of symptoms and signs in cases (patients with HF with the event), with their respective controls (patients with HF without the respective event, matched on diagnosis date (±1 month) and follow-up time). Controls could be included more than once and later become a case. MAIN OUTCOME MEASURES: All-cause, HF and non-cardiovascular disease (non-CVD) hospitalisation and mortality. RESULTS: During a median follow-up of 3.22 years (IQR: 0.59-8.18), 56 677 (65%) experienced first hospitalisation and 48 146 (55%) died. These cases were matched to 356 714 and 316 810 HF controls, respectively. For HF hospitalisation, the strongest adjusted associations were for symptoms and signs of fluid overload: pulmonary oedema (adjusted OR 3.08; 95% CI 2.52, 3.64), shortness of breath (2.94; 2.77, 3.11) and peripheral oedema (2.16; 2.00, 2.32). Generic symptoms also showed significant associations: depression (1.50; 1.18, 1.82), anxiety (1.35; 1.06, 1.64) and pain (1.19; 1.10, 1.28). Non-CVD hospitalisation had the strongest associations with chest pain (2.93; 2.77, 3.09), fatigue (1.87; 1.73, 2.01), general pain (1.87; 1.81, 1.93) and depression (1.59; 1.44, 1.74). CONCLUSIONS: In the primary care HF population, routinely recorded cardiac and non-specific symptoms showed differential risk associations with hospitalisation and mortality.

Diabetes and risk of heart failure in people with and without cardiovascular disease: systematic review and meta-analysis.

BACKGROUND: People with diabetes have an increased risk of heart failure (HF), compared to those without diabetes. However, no comprehensive systematic review and meta-analysis has explored whether these associations could differ in relation to prevalent cardiovascular disease (CVD). AIMS: To estimate the association between diabetes and incident heart failure (HF), compared to without diabetes, in individuals with and without CVD. METHODS: PubMed, Scopus, and Web of Science were searched for observational cohort studies from the earliest dates to 22nd March 2023. A random-effects model calculated the pooled relative risk (RR). RESULTS: Of 11,609 articles, 31 and 6 studies reported data in people with type 2 diabetes (T2D) and type 1 diabetes (T1D) respectively. Individuals with T2D had an increased risk of HF irrespective of CVD prevalence: 1.61 (95% CI: 1.35-1.92) in those with CVD; 1.78 (1.60-1.99) without CVD; and 2.02 (1.75-2.33) with unspecified CVD prevalence. Meta-regression did not identify a significant difference comparing HF risk in T2D individuals with vs. without CVD (p = 0.232). CONCLUSION: Peoplewith T2D, compared to those without diabetes, have similar increased risk of HF, regardless of CVD prevalence. Strategiesproven to lower HF risk in T2D individuals should be prioritized for those with and without CVD.

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.

Lifestyle Behavior Changes and Associated Risk Factors During the COVID-19 Pandemic: Results from the Canadian COVIDiet Online Cohort Study.

BACKGROUND: The COVID-19 pandemic and related lockdowns have impacted lifestyle behaviors, including eating habits and physical activity; yet, few studies have identified the emerging patterns of such changes and associated risk factors. OBJECTIVE: This study aims to identify the patterns of weight and lifestyle behavior changes, and the potential risk factors, resulting from the pandemic in Canadian adults. METHODS: Analyses were conducted on 1609 adults (18-89 years old; n=1450, 90.1%, women; n=1316, 81.8%, White) of the Canadian COVIDiet study baseline data (May-December 2020). Self-reported current and prepandemic weight, physical activity, smoking status, perceived eating habits, alcohol intake, and sleep quality were collected through online questionnaires. Based on these 6 indicator variables, latent class analysis (LCA) was used to identify lifestyle behavior change patterns. Associations with potential risk factors, including age, gender, ethnicity, education, income, chronic diseases, body image perception, and changes in the stress level, living situation, and work arrangement, were examined with logistic regressions. RESULTS: Participants' mean BMI was 26.1 (SD 6.3) kg/m2. Of the 1609 participants, 980 (60.9%) had a bachelor's degree or above. Since the pandemic, 563 (35%) had decreased income and 788 (49%) changed their work arrangement. Most participants reported unchanged weight, sleep quality, physical activity level, and smoking and alcohol consumption, yet 708 (44%) reported a perceived decrease in eating habit quality. From LCA, 2 classes of lifestyle behavior change emerged: healthy and less healthy (probability: 0.605 and 0.395, respectively; Bayesian information criterion [BIC]=15574, entropy=4.8). The healthy lifestyle behavior change group more frequently reported unchanged weight, sleep quality, smoking and alcohol intake, unchanged/improved eating habits, and increased physical activity. The less healthy lifestyle behavior change group reported significant weight gain, deteriorated eating habits and sleep quality, unchanged/increased alcohol intake and smoking, and decreased physical activity. Among risk factors, body image dissatisfaction (odds ratio [OR] 8.8, 95% CI 5.3-14.7), depression (OR 1.8, 95% CI 1.3-2.5), increased stress level (OR 3.4, 95% CI 2.0-5.8), and gender minority identity (OR 5.5, 95% CI 1.3-22.3) were associated with adopting less healthy behaviors in adjusted models. CONCLUSIONS: The COVID-19 pandemic has appeared to have influenced lifestyle behaviors unfavorably in some but favorably in others. Body image perception, change in stress level, and gender identity are factors associated with behavior change patterns; whether these will sustain over time remains to be studied. Findings provide insights into developing strategies for supporting adults with poorer mental well-being in the postpandemic context and promoting healthful behaviors during future disease outbreaks. TRIAL REGISTRATION: ClinicalTrials.gov NCT04407533; https://clinicaltrials.gov/ct2/show/NCT04407533.

Heart Failure and Multimorbidity in Asia.

PURPOSE OF THE REVIEW: Multimorbidity, the presence of two or more comorbidities, is common in patients with heart failure (HF) and worsens clinical outcomes. In Asia, multimorbidity has become the norm rather than the exception. Therefore, we evaluated the burden and unique patterns of comorbidities in Asian patients with HF. RECENT FINDINGS: Asian patients with HF are almost a decade younger than Western Europe and North American patients. However, over two in three patients have multimorbidity. Comorbidities usually cluster due to the close and complex links between chronic medical conditions. Elucidating these links may guide public health policies to address risk factors. In Asia, barriers in treating comorbidities at the patient, healthcare system and national level hamper preventative efforts. Asian patients with HF are younger yet have a higher burden of comorbidities than Western patients. A better understanding of the unique co-occurrence of medical conditions in Asia can improve the prevention and treatment of HF.

COVID-19 vaccination uptake amongst ethnic minority communities in England: a linked study exploring the drivers of differential vaccination rates.

BACKGROUND: Despite generally high coronavirus disease 2019 (COVID-19) vaccination rates in the UK, vaccination hesitancy and lower take-up rates have been reported in certain ethnic minority communities. METHODS: We used vaccination data from the National Immunisation Management System (NIMS) linked to the 2011 Census and individual health records for subjects aged ≥40 years (n = 24 094 186). We estimated age-standardized vaccination rates, stratified by ethnic group and key sociodemographic characteristics, such as religious affiliation, deprivation, educational attainment, geography, living conditions, country of birth, language skills and health status. To understand the association of ethnicity with lower vaccination rates, we conducted a logistic regression model adjusting for differences in geographic, sociodemographic and health characteristics. ResultsAll ethnic groups had lower age-standardized rates of vaccination compared with the white British population, whose vaccination rate of at least one dose was 94% (95% CI: 94%-94%). Black communities had the lowest rates, with 75% (74-75%) of black African and 66% (66-67%) of black Caribbean individuals having received at least one dose. The drivers of these lower rates were partly explained by accounting for sociodemographic differences. However, modelled estimates showed significant differences remained for all minority ethnic groups, compared with white British individuals. CONCLUSIONS: Lower COVID-19 vaccination rates are consistently observed amongst all ethnic minorities.

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.

Cancer history as a predictor in cardiovascular risk scores: a primary care cohort study.

BACKGROUND: Cardiovascular risks are raised in cancer survivors but cancer history is not included in cardiovascular risk scores that inform preventive decisions. AIM: To assess whether cancer diagnosis should be included in cardiovascular risk scores. DESIGN AND SETTING: Cohort study using data from English general practices linked to hospital, cancer registration, and death registration data from 1990 to 2015. METHOD: Adults alive 1 year after a first cancer diagnosis and age, sex, general practice, and calendar- time matched cancer-free individuals were included. Individuals with <2 years of follow-up before index, recent statin prescriptions, or pre-existing coronary heart or cerebrovascular disease were excluded. Cox proportional hazard models used to develop QRISK3 scores were replicated with added cancer history variables. Whether independent hazard ratios for these variables met thresholds for inclusion in QRISK3 (>10% relative difference with P<0.01) was assessed. RESULTS: In total, 81 420 cancer survivors and 413 547 cancer-free individuals were followed for a median 5.2 years (interquartile range [IQR] 2.8- 9.1) and 6.3 years (IQR 3.5-10.2), respectively. Including a 1-year cancer survivorship variable in a QRISK3-based model met the threshold for inclusion for males (independent hazard ratio [iHR] 1.16, 95% confidence interval [CI] = 1.11 to 1.20, P<0.001) but not females (iHR 1.07, 95% CI = 1.01 to 1.14, P = 0.02). When including cancer type, the threshold was met for both sexes with history of haematological cancer (males: iHR 1.27, 95% CI = 1.16 to 1.40, P <0.001; females: iHR 1.59, 95% CI = 1.32 to 1.91, P<0.001) and for males but not females with history of solid cancers (males: iHR 1.13, 95% CI = 1.08 to 1.18, P <0.001; females: iHR 1.04, 95% CI = 0.98 to 1.10, P = 0.19). CONCLUSION: Developers should consider including cancer history variables in future cardiovascular risk models.

Chronic kidney disease begets heart failure and vice versa: temporal associations between heart failure events in relation to incident chronic kidney disease in type 2 diabetes.

AIM: To investigate the interplay of incident chronic kidney disease (CKD) and/or heart failure (HF) and their associations with prognosis in a large, population-based cohort with type 2 diabetes (T2DM). METHODS: Patients aged ≥18 years with new-onset T2DM, without renal disease or HF at baseline, were identified from the territory-wide Clinical Data Analysis Reporting System between 2000 and 2015. Patients were followed up until December 31, 2020 for incident CKD and/or HF and all-cause mortality. RESULTS: Among 102 488 patients (median age 66 years, 45.7% women, median follow-up 7.5 years), new-onset CKD occurred in 14 798 patients (14.4%), in whom 21.7% had HF. In contrast, among 9258 patients (9.0%) with new-onset HF, 34.6% had CKD. The median time from baseline to incident CKD or HF (4.4 vs. 4.1 years) did not differ. However, the median (interquartile range) time until incident HF after CKD diagnosis was 1.7 (0.5-3.6) years and was 1.2 (0.2-3.4) years for incident CKD after HF diagnosis (P < 0.001). The crude incidence of CKD was higher than that of HF: 17.6 (95% confidence interval [CI] 17.3-17.9) vs. 10.6 (95% CI 10.4-10.9)/1000 person-years, respectively, but incident HF was associated with a higher adjusted-mortality than incident CKD. The presence of either condition (vs. CKD/HF-free status) was associated with a three-fold hazard of death, whereas concomitant HF and CKD conferred a six to seven-fold adjusted hazard of mortality. CONCLUSION: Cardiorenal complications are common and are associated with high mortality risk among patients with new-onset T2DM. Close surveillance of these dual complications is crucial to reduce the burden of disease.

Palliative Care Utilization Among Hospitalized Patients With Common Chronic Conditions in the United States.

Objective: Limited data exist around the receipt of palliative care (PC) in patients hospitalized with common chronic conditions. We studied the independent predictors, temporal trends in rates of PC utilization in patients hospitalized with acute exacerbation of common chronic diseases. Methods: Population-based cohort study of all hospitalizations with an acute exacerbation of heart disease (HD), cerebrovascular accident (CVA), cancer (CA), and chronic lower respiratory disease (CLRD). Patients aged ≥18 years or older between January 1, 2004, and December 31, 2017, referred for inpatient PC were extracted from the National Inpatient Sample. Poisson regression analyses were used to estimate temporal trends. Results: Between 2004 and 2017, of 91,877,531 hospitalizations, 55.2%, 13.9%, 17.2%, and 13.8% hospitalizations were related to HD, CVA, CA, and CLRD, respectively. There was a temporal increase in the uptake of PC across all disease groups. Age-adjusted estimated rates of PC per 100,000 hospitalizations/year were highest for CA (2308 (95% CI 2249-2366) to 10,794 (95% CI 10,652-10,936)), whereas the CLRD cohort had the lowest rates of PC referrals (255 (95% CI 231-278) to 1882 (95% CI 1821-1943)) between 2004 and 2017, respectively. In the subgroup analysis of patients who died during hospitalization, the CVA group had the highest uptake of PC per 100,000 hospitalizations/year (4979 (95% CI 4918-5040)) followed by CA (4241 (95% CI 4189-4292)), HD (3250 (95% CI 3211-3289)) and CLRD (3248 (95% CI 3162-3405)). Conclusion: PC service utilization is increasing but remains disparate, particularly in patients that die during hospital admission from common chronic conditions. These findings highlight the need to develop a multidisciplinary, patient-centered approach to improve access to PC services in these patients.

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.

Associations between frailty trajectories and cardiovascular, renal, and mortality outcomes in chronic kidney disease.

BACKGROUND: Frailty is characterized by the loss of biological reserves and vulnerability to adverse outcomes. In individuals with chronic kidney disease (CKD), numerous pathophysiological factors may be responsible for frailty development including inflammation, physical inactivity, reduced energy intake, and metabolic acidosis. Given that both CKD and frailty incur a significant healthcare burden, it is important to understand the relationship of CKD and frailty in real-world routine clinical practice, and how simple frailty assessment methods (e.g. frailty indexes) may be useful. We investigated the risk of frailty development in CKD and the impact of frailty status on mortality and end-stage kidney disease (ESKD). METHODS: A retrospective cohort study using primary care records from the Clinical Practice Research Datalink linked to Hospital Episode Statistics and the UK Office for National Statistics was undertaken in 819 893 participants aged ≥40 years, of which 140 674 had CKD. Frailty was defined using an electronic frailty index, generated electronically from primary care records. Cox proportional hazard and flexible parametric survival models were used to investigate the risk of developing frailty and the effect of frailty on risk of all-cause and cardiovascular mortality, and ESKD. RESULTS: The mean age of those with CKD was 77.5 (SD 9.7) years [61.0 (SD 12.1) years in no-CKD group]; 62.0% of the CKD group were female (compared with 53.3% in no-CKD group). The mean estimated glomerular filtration rate of those with CKD was 46.1 (SD 9.9) mL/min/1.73 m2 . The majority of those with CKD (75.3%) were frail [vs. 45.4% in those without CKD (no-CKD)]. Over 3 years (median), 69.5% of those with CKD developed frailty. Compared with no-CKD, those with CKD had increased rates of developing mild (hazard ratio: 1.02; 95% confidence interval: 1.01-1.04), moderate (1.30; 1.26-1.34), and severe (1.50; 1.37-1.65) frailty. Mild (1.22; 1.19-1.24), moderate (1.60; 1.56-1.63), and severe (2.16; 2.11-2.22) frailty was associated with increased rates of all-cause and cardiovascular-related mortality (mild 1.35; 1.31-1.39; moderate 1.96; 1.90-2.02; and severe 2.91; 2.81-3.02). All stages of frailty significantly increased ESKD rates. CONCLUSIONS: Frailty is highly prevalent and associated with adverse outcomes in people with CKD, including mortality and risk of ESKD. Preventative interventions should be initiated to mitigate the development of frailty. The use of a simple frailty index, generated electronically from health records, can predict outcomes and may aid prioritization for management of people with frailty.

Association of ambulatory blood pressure with coronary microvascular and cardiac dysfunction in asymptomatic type 2 diabetes.

BACKGROUND: Type 2 diabetes (T2D) and hypertension commonly coexist and are associated with subclinical myocardial structural and functional changes. We sought to determine the association between blood pressure (BP) and left ventricular (LV) remodeling, systolic/diastolic function, and coronary microvascular function, among individuals with T2D without prevalent cardiovascular disease. METHODS: Participants with T2D and age-, sex-, and ethnicity-matched controls underwent comprehensive cardiovascular phenotyping including fasting bloods, transthoracic echocardiography, cardiovascular magnetic resonance imaging with quantitative adenosine stress/rest perfusion, and office and 24-h ambulatory BP monitoring. Multivariable linear regression was performed to determine independent associations between BP and imaging markers of remodeling and function in T2D. RESULTS: Individuals with T2D (n = 205, mean age 63 ± 7 years) and controls (n = 40, mean age 61 ± 8 years) were recruited. Mean 24-h systolic BP, but not office BP, was significantly greater among those with T2D compared to controls (128.8 ± 11.7 vs 123.0 ± 13.1 mmHg, p = 0.006). Those with T2D had concentric LV remodeling (mass/volume 0.91 ± 0.15 vs 0.82 ± 0.11 g/mL, p < 0.001), decreased myocardial perfusion reserve (2.82 ± 0.83 vs 3.18 ± 0.82, p = 0.020), systolic dysfunction (global longitudinal strain 16.0 ± 2.3 vs 17.2 ± 2.1%, p = 0.004) and diastolic dysfunction (E/e' 9.30 ± 2.43 vs 8.47 ± 1.53, p = 0.044) compared to controls. In multivariable regression models adjusted for 14 clinical variables, mean 24-h systolic BP was independently associated with concentric LV remodeling (ß = 0.165, p = 0.031), diastolic dysfunction (ß = 0.273, p < 0.001) and myocardial perfusion reserve (ß = - 0.218, p = 0.016). Mean 24-h diastolic BP was associated with LV concentric remodeling (ß = 0.201, p = 0.016). CONCLUSION: 24-h ambulatory systolic BP, but not office BP, is independently associated with cardiac remodeling, coronary microvascular dysfunction, and diastolic dysfunction among asymptomatic individuals with T2D. (Clinical trial registration. URL: https://clinicaltrials.gov/ct2/show/NCT03132129 Unique identifier: NCT03132129).