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Background: Concomitant atrial fibrillation (AF) is associated with an adverse prognosis in patients with acute myocardial infarction (MI). However, it remains unclear whether this is due to a causal effect of AF or whether AF acts as a surrogate marker for comorbidities in this population. Furthermore, there are limited data on whether coronary artery disease distribution impacts the risk of developing AF. Methods: Consecutive patients admitted with acute MI and treated using percutaneous coronary intervention (PCI) at a single centre were retrospectively identified. Associations between AF and major adverse cardiac and cerebrovascular events (MACCEs) over a median of five years of follow-up were assessed using Cox regression, with adjustment for confounding factors performed using both multivariable modelling and a propensity-score-matched analysis. Results: AF was identified in N = 65/1000 (6.5%) of cases; these patients were significantly older (mean: 73 vs. 65 years, p < 0.001), with lower creatinine clearance (p < 0.001), and were more likely to have a history of cerebrovascular disease (p = 0.011) than those without AF. In addition, patients with AF had a greater propensity for left main stem (p = 0.001) or left circumflex artery (p = 0.004) involvement. Long-term MACCE rates were significantly higher in the AF group than in the non-AF group (50.8% vs. 34.2% at five years), yielding an unadjusted hazard ratio (HR) of 1.86 (95% CI: 1.32–2.64, p < 0.001). However, after adjustment for confounding factors, AF was no longer independently associated with MACCEs, either on multivariable (adjusted HR: 1.25, 95% CI: 0.81–1.92, p = 0.319) or propensity-score-matched (HR: 1.04, 95% CI: 0.59–1.82, p = 0.886) analyses. Conclusions: AF is observed in 6.5% of patients admitted with acute MI, and those with AF are more likely to have significant diseases involving left main or circumflex arteries. Although unadjusted MACCE rates were significantly higher in patients with AF, this effect was not found to remain significant after adjustment for comorbidities. As such, this study provided no evidence to suggest that AF is independently associated with MACCEs. [ABSTRACT FROM AUTHOR]

BackgroundDiabetes mellitus and hypertension are risk factors for acute kidney injury (AKI). Whether estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (ACR) remain risk factors for AKI in the presence and absence of these conditions is uncertain.Study designMeta-analysis of cohort studies.Setting & population8 general-population (1,285,045 participants) and 5 chronic kidney disease (CKD; 79,519 participants) cohorts.Selection criteria for studiesCohorts participating in the CKD Prognosis Consortium.PredictorsDiabetes and hypertension status, eGFR by the 2009 CKD Epidemiology Collaboration creatinine equation, urine ACR, and interactions.OutcomeHospitalization with AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.ResultsDuring a mean follow-up of 4 years, there were 16,480 episodes of AKI in the general-population and 2,087 episodes in the CKD cohorts. Low eGFRs and high ACRs were associated with higher risks of AKI in individuals with or without diabetes and with or without hypertension. When compared to a common reference of eGFR of 80mL/min/1.73m(2) in nondiabetic patients, HRs for AKI were generally higher in diabetic patients at any level of eGFR. The same was true for diabetic patients at all levels of ACR compared with nondiabetic patients. The risk gradient for AKI with lower eGFRs was greater in those without diabetes than with diabetes, but similar with higher ACRs in those without versus with diabetes. Those with hypertension had a higher risk of AKI at eGFRs>60mL/min/1.73m(2) than those without hypertension. However, risk gradients for AKI with both lower eGFRs and higher ACRs were greater for those without than with hypertension.LimitationsAKI identified by diagnostic code.ConclusionsLower eGFRs and higher ACRs are associated with higher risks of AKI among individuals with or without either diabetes or hypertension.

BackgroundAcute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white).Study designCollaborative meta-analysis.Setting & population8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants).Selection criteria for studiesAvailable eGFR, ACR, and 50 or more AKI events.PredictorsAge, sex, race, eGFR, urine ACR, and interactions.OutcomeHospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.Results16,480 (1.3%) general-population cohort participants had AKI over a mean follow-up of 4 years; 2,087 (2.6%) CKD participants had AKI over a mean follow-up of 1 year. Lower eGFR and higher ACR were strongly associated with AKI. Compared with eGFR of 80mL/min/1.73m(2), the adjusted HR of AKI at eGFR of 45mL/min/1.73m(2) was 3.35 (95% CI, 2.75-4.07). Compared with ACR of 5mg/g, the risk of AKI at ACR of 300mg/g was 2.73 (95% CI, 2.18-3.43). Older age was associated with higher risk of AKI, but this effect was attenuated with lower eGFR or higher ACR. Male sex was associated with higher risk of AKI, with a slight attenuation in lower eGFR but not in higher ACR. African Americans had higher AKI risk at higher levels of eGFR and most levels of ACR.LimitationsOnly 2 general-population cohorts could contribute to analyses by race; AKI identified by diagnostic code.ConclusionsReduced eGFR and increased ACR are consistent strong risk factors for AKI, whereas associations of AKI with age, sex, and race may be weaker in more advanced stages of CKD.

The annual American Heart Association (AHA) and National Institutes of Health statistical report details the most up to date statistics related to heart disease, stroke and cardiovascular risk factors, primarily within the USA. Although not a formal systematic review or meta-analysis, this 600 page report provides the most comprehensive and best summary of cardiovascular statistics for the year in question. Although data are collated from USA data registries, it serves as a critical resource for clinicians, policymakers, administrators and researchers in the northern and southern hemispheres. In this special report, we have chosen to highlight aspects of the document that are relevant to nephrologists, given the overlap of cardiovascular and renal disease. These include (i) key and emerging cardiovascular data signals in the general and chronic kidney disease (CKD) populations, (ii) ethnic and socio-economic disparity, (iii) environmental and behavioural factors that drive high levels of cardiovascular disease and which are key components of the AHA's eight components of the Life Essential cardiovascular health score, and (iv) the impact of COVID-19 both directly and indirectly on heart health. We provide some commentary and critical analysis of both the data and of the production of such data sets suggesting that similar data on CKD could also be published and linked to the AHA and other datasets. [ABSTRACT FROM AUTHOR]

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The wide overlap between the syndromes of chronic kidney disease (CKD) and chronic heart failure (HF) means that familiarity with the 2021 European Society of Cardiology guidelines is of importance to nephrologists. The common risk factors for the two syndromes together with the adverse cardiac structural remodelling associated with CKD means that many kidney disease patients experience breathlessness and fall within the HF phenotypes categorized in the guidelines. The management of HF is evolving rapidly leading to significant changes in the latest guideline iteration. The 2021 guidelines have changed from the 2016 version firstly by an increased focus on identifying the three phenotypes of HF to guide appropriate evidence-based management. Secondly, a new and simplified treatment algorithm for HF with reduced ejection fraction involving the rapid sequential initiation and up-titration of four 'pillars' of drug treatment—angiotensin-converting enzyme inhibitors or angiotensin-neprilysin inhibitors, beta blockers, mineralocorticoid receptor antagonists and now, thanks to convincing trial data, sodium-glucose co-transporter 2 inhibitors. Thirdly, guidelines for device therapy have been changed with down-graded advice on indications for primary prevention implantable cardioverter defibrillator therapy for patients with non-ischaemic HF and for cardiac resynchronization therapy with left bundle branch block (LBBB) and a QRS duration <150 ms. There are updated treatment plans for HF associated with non-cardiovascular comorbidities including CKD. [ABSTRACT FROM AUTHOR]

The first successful live donor kidney transplant was performed in 1954. Receiving a kidney transplant from a live kidney donor remains the best option for increasing both life expectancy and quality of life in patients with end-stage kidney disease. However, ever since 1954, there have been multiple questions raised on the ethics of live kidney donation in terms of negative impacts on donor life expectancy. Given the close relationship between reduced kidney function in patients with chronic kidney disease (CKD) and hypertension, cardiovascular disease and cardiovascular mortality, information on the impact of kidney donation on these is particularly relevant. In this article, we review the existing evidence, focusing on the more recent studies on the impact of kidney donation on all-cause mortality, cardiovascular mortality, cardiovascular disease and hypertension, as well as markers of cardiovascular damage including arterial stiffness and uraemic cardiomyopathy. We also discuss the similarities and differences between the pathological reduction in renal function that occurs in CKD, and the reduction in renal function that occurs because of a donor nephrectomy. Kidney donors perform an altruistic act that benefits individual patients as well as the wider society. They deserve to have high-quality evidence on which to make informed decisions. [ABSTRACT FROM AUTHOR]

Background Acute kidney injury (AKI) in hospital-admitted patients is a common complication associated with increased mortality. The diagnosis of AKI relies on the ascertainment of peak increase in serum creatinine (SCr). This study evaluated the incidence of AKI using the increase from mean 7–365 days pre-admission (AKIpre) and admission (AKIadm) SCr levels, and examined the associations of AKI and changes in SCr levels with all-cause mortality. Methods A total of 2436 patients admitted to a tertiary hospital were recruited and followed-up for a median of 47.70 (interquartile range 18.20) months. AKI incidence and severity were defined according to the Kidney Disease: Improving Global Outcomes-AKI Guidelines. Follow-up data were collected from the Hospital Episode Statistics and Office of National Statistics. Mortality was evaluated during a short- (30 days), mid- (1 year) and long-term (4 years) period. Results No difference in the AKI rates using AKIpre and AKIadm (12.5% versus 12.2%; P = 0.695) or in the AKI severity (P = 0.261) was evident. Agreement between the two definitions was modest (Kappa-statistic = 0.596, P < 0.001). Patients with AKIpre or AKIadm had increased all-cause mortality compared with those without AKI during all follow-up periods. In fully adjusted regression analysis, AKIpre [hazard ratio (HR) = 2.226, 95% confidence interval (CI) 1.140–4.347; P = 0.027] and AKIadm (HR = 2.105, 95% CI 1.090–4.064; P = 0.027) remained associated with 30-day mortality. Results for the 1- and 4-year periods were similar. Increases of >4.00 μmol/L and >6.06% from pre-admission or >6.00 μmol/L and >17.24% from admission SCr levels presented increased mortality risk during follow-up. Conclusions Use of admission or pre-admission SCr provides similar incidence rates, but they diagnose different sets of patients. Even minor increases in SCr, below those required for the classification of AKI, were associated with increased mortality. These findings can help the clinicians to identify patients at higher risk for adverse outcomes. [ABSTRACT FROM AUTHOR]