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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. [ABSTRACT FROM AUTHOR]

Disease burden in people with diabetes is mainly driven by long-term complications such as cardiovascular disease, heart failure and chronic kidney disease. This is a consequence of the interconnection between the cardiovascular, renal and metabolic systems, through a continuous chain of events referred to as 'the cardiorenal metabolic continuum'. Increasing evidence suggests that sodium–glucose cotransporter 2 inhibitors (SGLT2is) have beneficial effects across all stages of the cardiorenal metabolic continuum, reducing morbidity and mortality in a wide range of individuals, from those with diabetes and multiple risk factors to those with established heart failure and chronic kidney disease, regardless of the presence of diabetes. Despite this robust evidence base, the complexity of label indications and misconceptions concerning potential side effects have resulted in a lack of clear understanding in primary care regarding the implementation of SGLT2is in clinical practice. With this in mind, we provide an overview of the clinical and economic benefits of SGLT2is across the cardiorenal metabolic continuum together with practical considerations in order to help address some of these concerns and clearly define the role of SGLT2is in primary care as a holistic outcomes-driven treatment with the potential to reduce disease burden across the cardiorenal metabolic spectrum. [ABSTRACT FROM AUTHOR]

Background: Pre-existing comorbidities have been linked to SARS-CoV-2 infection but evidence is sparse on the importance and pattern of multimorbidity (2 or more conditions) and severity of infection indicated by hospitalisation or mortality. We aimed to use a multimorbidity index developed specifically for COVID-19 to investigate the association between multimorbidity and risk of severe SARS-CoV-2 infection.Methods: We used data from the UK Biobank linked to laboratory confirmed test results for SARS-CoV-2 infection and mortality data from Public Health England between March 16 and July 26, 2020. By reviewing the current literature on COVID-19 we derived a multimorbidity index including: (1) angina; (2) asthma; (3) atrial fibrillation; (4) cancer; (5) chronic kidney disease; (6) chronic obstructive pulmonary disease; (7) diabetes mellitus; (8) heart failure; (9) hypertension; (10) myocardial infarction; (11) peripheral vascular disease; (12) stroke. Adjusted logistic regression models were used to assess the association between multimorbidity and risk of severe SARS-CoV-2 infection (hospitalisation/death). Potential effect modifiers of the association were assessed: age, sex, ethnicity, deprivation, smoking status, body mass index, air pollution, 25-hydroxyvitamin D, cardiorespiratory fitness, high sensitivity C-reactive protein.Results: Among 360,283 participants, the median age was 68 [range 48-85] years, most were White (94.5%), and 1706 had severe SARS-CoV-2 infection. The prevalence of multimorbidity was more than double in those with severe SARS-CoV-2 infection (25%) compared to those without (11%), and clusters of several multimorbidities were more common in those with severe SARS-CoV-2 infection. The most common clusters with severe SARS-CoV-2 infection were stroke with hypertension (79% of those with stroke had hypertension); diabetes and hypertension (72%); and chronic kidney disease and hypertension (68%). Multimorbidity was independently associated with a greater risk of severe SARS-CoV-2 infection (adjusted odds ratio 1.91 [95% confidence interval 1.70, 2.15] compared to no multimorbidity). The risk remained consistent across potential effect modifiers, except for greater risk among older age. The highest risk of severe infection was strongly evidenced in those with CKD and diabetes (4.93 [95% CI 3.36, 7.22]).Conclusion: The multimorbidity index may help identify individuals at higher risk for severe COVID-19 outcomes and provide guidance for tailoring effective treatment. [ABSTRACT FROM AUTHOR]