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Aims: Heart failure (HF) is a clinical syndrome with no definitive diagnostic tests. HF registries are often based on manual reviews of medical records of hospitalized HF patients identified using International Classification of Diseases (ICD) codes. However, most HF patients are not hospitalized, and manual review of big electronic health record (EHR) data is not practical. The US Department of Veterans Affairs (VA) has the largest integrated healthcare system in the nation, and an estimated 1.5 million patients have ICD codes for HF (HF ICD‐code universe) in their VA EHR. The objective of our study was to develop artificial intelligence (AI) models to phenotype HF in these patients. Methods and results: The model development cohort (n = 20 000: training, 16 000; validation 2000; testing, 2000) included 10 000 patients with HF and 10 000 without HF who were matched by age, sex, race, inpatient/outpatient status, hospital, and encounter date (within 60 days). HF status was ascertained by manual chart reviews in VA's External Peer Review Program for HF (EPRP‐HF) and non‐HF status was ascertained by the absence of ICD codes for HF in VA EHR. Two clinicians annotated 1000 random snippets with HF‐related keywords and labelled 436 as HF, which was then used to train and test a natural language processing (NLP) model to classify HF (positive predictive value or PPV, 0.81; sensitivity, 0.77). A machine learning (ML) model using linear support vector machine architecture was trained and tested to classify HF using EPRP‐HF as cases (PPV, 0.86; sensitivity, 0.86). From the 'HF ICD‐code universe', we randomly selected 200 patients (gold standard cohort) and two clinicians manually adjudicated HF (gold standard HF) in 145 of those patients by chart reviews. We calculated NLP, ML, and NLP + ML scores and used weighted F scores to derive their optimal threshold values for HF classification, which resulted in PPVs of 0.83, 0.77, and 0.85 and sensitivities of 0.86, 0.88, and 0.83, respectively. HF patients classified by the NLP + ML model were characteristically and prognostically similar to those with gold standard HF. All three models performed better than ICD code approaches: one principal hospital discharge diagnosis code for HF (PPV, 0.97; sensitivity, 0.21) or two primary outpatient encounter diagnosis codes for HF (PPV, 0.88; sensitivity, 0.54). Conclusions: These findings suggest that NLP and ML models are efficient AI tools to phenotype HF in big EHR data to create contemporary HF registries for clinical studies of effectiveness, quality improvement, and hypothesis generation. [ABSTRACT FROM AUTHOR]

Aims: According to the Kidney Disease: Improving Global Outcomes (KDIGO) guideline, the definition of chronic kidney disease (CKD) requires the presence of abnormal kidney structure or function for >3 months with implications for health. CKD in patients with heart failure (HF) has not been defined using this definition, and less is known about the true health implications of CKD in these patients. The objective of the current study was to identify patients with HF who met KDIGO criteria for CKD and examine their outcomes. Methods and results: Of the 1 419 729 Veterans with HF not receiving kidney replacement therapy, 828 744 had data on ≥2 ambulatory serum creatinine >90 days apart. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 (n = 185 821) or urinary albumin‐to‐creatinine ratio (uACR) >30 mg/g (n = 32 730) present twice >3 months apart. Normal kidney function (NKF) was defined as eGFR ≥60 ml/min/1.73 m2, present for >3 months, without any uACR >30 mg/g (n = 365 963). Patients with eGFR <60 ml/min/1.73 m2 were categorized into four stages: 45–59 (n = 72 606), 30–44 (n = 74 812), 15–29 (n = 32 077), and <15 (n = 6326) ml/min/1.73 m2. Five‐year all‐cause mortality occurred in 40.4%, 57.8%, 65.6%, 73.3%, 69.7%, and 47.5% of patients with NKF, four eGFR stages, and uACR >30mg/g (albuminuria), respectively. Compared with NKF, hazard ratios (HR) (95% confidence intervals [CI]) for all‐cause mortality associated with the four eGFR stages and albuminuria were 1.63 (1.62–1.65), 2.00 (1.98–2.02), 2.49 (2.45–2.52), 2.28 (2.21–2.35), and 1.22 (1.20–1.24), respectively. Respective age‐adjusted HRs (95% CIs) were 1.13 (1.12–1.14), 1.36 (1.34–1.37), 1.87 (1.84–1.89), 2.24 (2.18–2.31) and 1.19 (1.17–1.21), and multivariable‐adjusted HRs (95% CIs) were 1.11 (1.10–1.12), 1.24 (1.22–1.25), 1.46 (1.43–1.48), 1.42 (1.38–1.47), and 1.13 (1.11–1.16). Similar patterns were observed for associations with hospitalizations. Conclusion: Data needed to define CKD using KDIGO criteria were available in six out of ten patients, and CKD could be defined in seven out of ten patients with data. HF patients with KDIGO‐defined CKD had higher risks for poor outcomes, most of which was not explained by abnormal kidney structure or function. Future studies need to examine whether CKD defined using a single eGFR is characteristically and prognostically different from CKD defined using KDIGO criteria. [ABSTRACT FROM AUTHOR]

Aims: Sex differences in long‐term outcomes following hospitalization for heart failure (HF) across ejection fraction (EF) subtypes are not well described. In this study, we evaluated the risk of mortality and rehospitalization among males and females across the spectrum of EF over 5 years of follow‐up following an index HF hospitalization event. Methods and results: Patients hospitalized with HF between 1 January 2006 and 31 December 2014 from the American Heart Association's Get With The Guidelines‐Heart Failure registry with available 5‐year follow‐up using Medicare Part A claims data were included. The association between sex and risk of mortality and readmission over a 5‐year follow‐up period for each HF subtype (HF with reduced EF [HFrEF, EF ≤40%], HF with mildly reduced EF [HFmrEF, EF 41–49%], and HF with preserved EF [HFpEF, EF >50%]) was assessed using adjusted Cox models. The effect modification by the HF subtype for the association between sex and outcomes was assessed by including multiplicative interaction terms in the models. A total of 155 670 patients (median age: 81 years, 53.4% female) were included. Over 5‐year follow‐up, males and females had comparably poor survival post‐discharge; however, females (vs. males) had greater years of survival lost to HF compared with the median age‐ and sex‐matched US population (HFpEF: 17.0 vs. 14.6 years; HFrEF: 17.3 vs. 15.1 years; HFmrEF: 17.7 vs. 14.6 years for age group 65‐69 years). In adjusted analysis, females (vs. males) had a lower risk of 5‐year mortality (adjusted hazard ratio [aHR] 0.89, 95% confidence interval [CI] 0.87–0.90, p < 0.0001), and the risk difference was most pronounced among patients with HFrEF (aHR 0.87, 95% CI 0.85–0.89; pinteraction[sex*HF subtype] = 0.04). Females (vs. males) had a higher adjusted risk of HF readmission over 5‐year follow‐up (aHR 1.06, 95% CI 1.04–1.08, p < 0.0001), with the risk difference most pronounced among patients with HFpEF (aHR 1.11, 95% CI 1.07–1.14; pinteraction[sex*HF subtype] = 0.001). Conclusions: While females (vs. males) had lower adjusted mortality, females experienced a significantly greater loss in survival time than the median age‐ and sex‐matched US population and had a greater risk of rehospitalization over 5 years following HF hospitalization. [ABSTRACT FROM AUTHOR]

Aims: The long‐term outcome in patients with heart failure (HF) after hospitalization may vary substantially depending on their age and left ventricular ejection fraction (LVEF). We aimed to assess the relative rates of cardiovascular death (CVD) and non‐CVD based on the age and how the rates differ under the updated LVEF classification system. Methods and results: Consecutively registered hospitalized patients with HF (N = 3558; 39.7% women with a mean age of 73.9 ± 13.3 years) were followed for a median of 2 (interquartile range, 0.8–3.1) years. The CVDs and non‐CVDs were evaluated based on age [young (<65 years), older (65–84 years), and very old (≥85 years)] and LVEF classification [HF with preserved EF (HFpEF; LVEF ≥50%) and non‐HFpEF (LVEF <50%)]. The adverse clinical events were adjudicated independently by a central committee. Overall, 1505 (42.3%) had HFpEF [young: n = 182 (12.1%), older: n = 894 (59.4%), very old: n = 429 (28.5%)], and 2053 (57.7%) had non‐HFpEF [young: n = 575 (28.0%), older: n = 1159 (56.5%), very old: n = 319 (15.5%)]. During the follow‐up, the crude incidence of all‐cause death was higher in non‐HFpEF than in HFpEF across all age groups (non‐HFpEF vs. HFpEF, young: 10.4% vs. 5.5%, log‐rank P = 0.10; older: 26.6% vs. 20.9%, log‐rank P = 0.002; very old: 36.7% vs. 31.7%, log‐rank P = 0.043). CVDs accounted for more than half of all deaths in non‐HFpEF (young 65.0%, older 64.2%, and very old 55.6%), whereas the proportion of CVDs remained less than half in HFpEF (young 50.0%, older 41.2%, very old 38.2%). HF readmission was associated with subsequent all‐cause death in non‐HFpEF [hazard ratio (HR): 1.72, 95% confidence interval (CI): 1.41–2.09, P < 0.001], but not in HFpEF (HR: 1.12, 95% CI: 0.87–1.43, P = 0.39). Conclusions: The probability of a non‐CVD increases in both LVEF categories with advancing age, but that it is greater in the HFpEF category. The findings indicate that mitigating CV‐related outcomes alone may be insufficient for treating HF in older population, particularly in the HFpEF category. [ABSTRACT FROM AUTHOR]

Background: Reference change value (RCV) is used to assess the significance of the difference between two measurements after accounting for pre‐analytic, analytic, and within‐subject variability. The objective of the current study was to define the RCV for global longitudinal strain (GLS) using different semi‐automated software in standard clinical practice. Methods: Using a test‐retest study design, we quantified the median coefficient of variation (CV) for GLS using AutoStrain and Automated Cardiac Motion Quantification (aCMQ) by Philips. Triplane left‐ventricular ejection fraction (LVEF) was measured for comparison. Multivariable regression analysis was performed to determine factors influencing test‐retest CV including image quality and the presence of segmental wall motion abnormalities (WMA). RCV was reported using a standard formula assuming two standard deviations for repeated measurements; results were also translated into Bayesian probability. Total measurement variation was described in terms of its three different components: pre‐analytic (acquisition), analytic (measuring variation), and within‐subject (biological) variation. Result: Of the 44 individuals who were screened, 41 had adequate quality for strain quantification. The mean age of the cohort was 56.4 ± 16.8 years, 41% female, LVEF was 55.8 ± 9.8% and the median and interquartile range for LV GLS was −17.2 [−19.3 to −14.8]%. Autostrain was more time efficient (80% less analysis time) and had a lower total median CV than aCMQ (CV = 7.4% vs. 17.6%, p <.001). The total CV was higher in patients with WMA (6.4% vs. 13.2%, p =.035). In non‐segmental disease, the CV translates to a RCV of 15% (corresponding to a probability of real change of 80%). Assuming a within‐subject variability of 4.0%, the component analysis identified that inter‐reader variability accounts for 3.7% of the CV, while acquisition variability accounts for 4.0%. Conclusion: Using test‐retest analysis and CVs, we find that an RCV of 15% for GLS represents an optimistic estimate in routine clinical practice. Based on our results, a higher RCV of 17%–21% is needed in order to provide a high probability of clinically meaningful change in GLS in all comers. The methodology presented here for determining measurement reproducibility and RCVs is easily translatable into clinical practice for any imaging parameter. [ABSTRACT FROM AUTHOR]

Background: In patients with atrial fibrillation (AF) treated with direct oral anticoagulants (DOAC), bleeding risk scores provide only modest discrimination for major or intracranial bleeding. However, warfarin experience may impact HAS‐BLED (Hypertension, Abnormal renal/liver function, Stroke, Bleeding history or predisposition, Labile international normalized ratio, Elderly (>65 years), Drugs/alcohol concomitantly) score performance in patients evaluated for DOACs, as HAS‐BLED was derived and validated in warfarin cohorts. Methods: We performed a retrospective cohort study of patients prescribed DOAC for AF in the Veterans Health Administration between 2010 and 2017. We determined modified HAS‐BLED score discrimination and calibration for bleeding, for patients treated with DOAC, stratified by prior warfarin exposure. We also determined the association between DOAC–warfarin‐naïve status to bleeding (nonintracranial and intracranial) with DOAC–warfarin‐experienced patients as reference. Results: The DOAC analysis cohort included 100, 492 patients with AF (age [mean ± SD]: 72.9 ± 9.6 years; 1.7% female; 90.1% White), of which 26, 760 patients (26.6%) and 73, 732 patients (73.4%) were warfarin experienced or naïve, respectively. HAS‐BLED discrimination for bleeds was modest for patients treated with DOAC, regardless of prior warfarin experience (concordance statistics: 0.53–0.59). For DOAC–warfarin‐naïve patients, as compared to DOAC–warfarin‐experienced patients, adjusted risk of intracranial bleeding was lower, while risk of nonintracranial bleeding was higher (intracranial bleeding propensity adjusted with inverse probability of treatment weights [IPTWs]: hazard ratio [HR]: 0.86, 95% confidence interval [CI]: 0.78–0.95, p =.0040) (nonintracranial bleeding propensity adjusted with IPTW: HR: 1.15, 95% CI: 1.11–1.19, p <.0001). Conclusion: Patients' modified HAS‐BLED score at the time of DOAC initiation, regardless of prior warfarin use, provided only modest discrimination for intracranial and nonintracranial bleeds. These data argue against maintaining DOAC eligible patients on warfarin therapy regardless of modified HAS‐BLED score. [ABSTRACT FROM AUTHOR]

Background/Objectives: Older adults (>75 years of age) represent two‐thirds of atherosclerotic cardiovascular disease (ASCVD) deaths. The 2013 and 2018 American multi‐society cholesterol guidelines recommend using at least moderate intensity statins for older adults with ASCVD. We examined annual trends and statin prescribing patterns in a multiethnic population of older adults with ASCVD. Design Retrospective longitudinal study using electronic health record (EHR) data from 2007 to 2018. Setting: A large multi‐specialty health system in Northern California. Participants: A total of 24,651 adults older than 75 years with ASCVD. Measurements Statin prescriptions for older adults with known ASCVD were trended over time. Multivariable regression models were used to identify predictors of statin prescription (logistic) after controlling for relevant demographic and clinical factors. Results: The study cohort included 24,651 patients older than 75 years; 48% were women. Although prescriptions for moderate/high intensity statins increased over time for adults over 75, fewer than half of the patients (45%) received moderate/high intensity statins in 2018. Women (odds ratio (OR) = 0.77; 95% confidence interval (CI) = 0.74, 0.80), patients who had heart failure (OR = 0.69; 95% CI = 0.65, 0.74), those with dementia (OR = 0.88; 95% CI = 0.82, 0.95) and patients who were underweight (OR = 0.64; 95% CI = 0.57, 0.73) were less likely to receive moderate/high intensity statins. Conclusions: Despite increasing prescription rates between 2007 and 2018, guideline‐recommended statins remained underused in older adults with ASCVD, with more pronounced disparities among women and those with certain comorbidities. Future studies are warranted to examine reasons for statin underuse in older adults with ASCVD. [ABSTRACT FROM AUTHOR]

In this document, we propose a universal definition of heart failure (HF) as a clinical syndrome with symptoms and/or signs caused by a structural and/or functional cardiac abnormality and corroborated by elevated natriuretic peptide levels and/or objective evidence of pulmonary or systemic congestion. We also propose revised stages of HF as: At risk for HF (Stage A), Pre‐HF (Stage B), Symptomatic HF (Stage C) and Advanced HF (Stage D). Finally, we propose a new and revised classification of HF according to left ventricular ejection fraction (LVEF). This includes HF with reduced ejection fraction (HFrEF): symptomatic HF with LVEF ≤40%; HF with mildly reduced ejection fraction (HFmrEF): symptomatic HF with LVEF 41–49%; HF with preserved ejection fraction (HFpEF): symptomatic HF with LVEF ≥50%; and HF with improved ejection fraction (HFimpEF): symptomatic HF with a baseline LVEF ≤40%, a ≥10 point increase from baseline LVEF, and a second measurement of LVEF > 40%. [ABSTRACT FROM AUTHOR]

Aims: Sodium–glucose co‐transporter (SGLT)‐2 inhibitors have been shown to reduce the risk of cardiovascular death and heart failure (HF) hospitalization in patients with type 2 diabetes mellitus (DM) and high cardiovascular risk in two large clinical outcome trials: empagliflozin in EMPA‐REG OUTCOME and canagliflozin in CANVAS. The scope of eligibility for SGLT‐2 inhibitors (empagliflozin and canagliflozin) among patients with type 2 DM and HF, based on clinical trial criteria and current US Food and Drug Administration (FDA) labelling criteria, remains unknown. Methods and results: Using data from the US Get With The Guidelines (GWTG)—Heart Failure registry, we evaluated the proportion of patients with DM and HF eligible for SGLT‐2 inhibitor therapy based on the clinical trial criteria and the US FDA labelling criteria. The GWTG‐HF registry is a quality improvement registry of patients admitted in hospital with HF in the USA. We included GWTG‐HF registry participants meeting eligibility criteria hospitalized between August 2014 and 30 June 2017 from sites fully participating in the registry. The initial inclusion time point reflects when both drugs had FDA approval. Among the 139 317 patients (out of 407 317) with DM hospitalized with HF (in 460 hospitals; 2014 to 2017), the median age was 71 years, 47% (n = 65 685) were female, and 43% (n = 59 973) had HF with reduced ejection fraction. Overall, 43% (n = 59 943) were eligible for the EMPA‐REG OUTCOME trial, 45% (n = 62 818) were eligible for the CANVAS trial, and 34% (n = 47 747) of patients were eligible for either SGLT‐2 inhibitors based on the FDA labelling criteria. Among the FDA‐eligible patients, 91.5% (n = 43 708) were eligible for either the EMPA‐REG OUTCOME trial or the CANVAS trial. Patients who were FDA eligible, compared with those who were not, were younger (70.0 vs. 72.0 years of age), more likely to be male (57.7 vs. 50.3%), and had less burden of co‐morbidities. Conclusions: The majority of patients with DM who are hospitalized with HF are not eligible for SGLT‐2 inhibitor therapies. Ongoing studies evaluating the safety and efficacy of SGLT‐2 inhibitors among patients with HF may potentially broaden the population that may benefit from these therapies. [ABSTRACT FROM AUTHOR]

Aims: To assess the association of body mass index (BMI) with heart failure (HF) outcomes after cardiac resynchronization therapy with defibrillator (CRT-D) implantation.Methods and Results: Medicare beneficiaries with HF aged ≥ 65 years (n = 18 922) undergoing first-time CRT-D from the National Cardiovascular Data Registry (NCDR) Implantable Cardioverter-Defibrillator Registry between 2010 and 2013, were followed for 3 years post-implantation. Survival curves and covariate adjusted hazard ratio (aHR) or odds ratio were used to assess the risks for death, readmission, and device-related complications by BMI status. Of 18 922 HF patients receiving CRT-D, 5265 (27.8%) were normal weight, 6896 (37%) were overweight, 6318 (33.4%) were obese, and 353 (1.8%) were underweight. Compared to those of normal weight (BMI 18.5-24.9 kg/m2 ), underweight patients had a higher 3-year post-device implantation risk of death [aHR: 1.34 (95% confidence interval 1.09-1.65); P < 0.001] and of readmission [sub-aHR: 1.25 (1.09-1.42); P < 0.001]. The corresponding 3-year aHRs for death were 0.83 (0.77-0.89) for overweight, 0.74 (0.67-0.82) for obesity class I (BMI 30-34.9 kg/m2 ), 0.78 (0.68-0.90) for obesity class II (BMI 35-39.9 kg/m2 ), and 0.75 (0.60-0.93) for obesity class III (BMI ≥ 40 kg/m2 , P for all categories < 0.001). Individuals with class III obesity had a higher risk of readmission [sub-aHR: 1.17 (1.06-1.30)]. There were no differences in rates of device-related complications within 90 days across BMI categories.Conclusion: Most elderly patients with HF receiving CRT-D were overweight or obese. While being underweight was associated with greater risks of death and hospitalization, overweight and obese patients were at lower risk of death after CRT-D. [ABSTRACT FROM AUTHOR]

Abstract: Background: Cost‐effectiveness or value of cardiovascular therapies may be undermined by unwarranted cost variation, particularly for heterogeneous procedures such as catheter ablation for atrial fibrillation (AF). We sought to characterize cost variation of AF ablation in the US healthcare system and the relationship between cost and outcomes. Methods and results: We performed a retrospective cohort study using data from the MarketScan® commercial claims and Medicare supplemental databases including patients who received an AF ablation from 2007 to 2011. We aggregated encounter cost, reflecting total payments received for the encounter, to the facility level to calculate median facility cost. We classified procedures as outpatient or inpatient and assessed for association between cost and 30‐day and 1‐year outcomes. The analysis cohort included 9,415 AF ablations (59±11 years; 28% female; 52% outpatient) occurring at 327 facilities, with large cost variation across facilities (median: $25,100; 25th percentile: $18,900, 75th percentile: $35,600, 95th percentile: $57,800). Among outpatient procedures, there was reduced healthcare utilization in higher cost quintiles with reductions in rehospitalization at 30‐days (Quintile 1: 16.1%, Quintile 5: 8.8%, P < 0.001) and 1‐year (Quintile 1: 34.8%, Quintile 5: 25.6%, P < 0.001), which remained significant in multivariate analysis. Conclusions: Although median costs of AF ablation are below amounts used in prior cost‐effectiveness studies that demonstrated good value, large facility variation in cost suggests opportunities for cost reduction. However, for outpatient encounters, association of cost to modestly improved outcomes suggests cost containment strategies could have variable effects. [ABSTRACT FROM AUTHOR]

Abstract: Introduction: We performed a systematic review and meta‐analysis of geographic and racial representation and reported success rates of studies of catheter ablation for atrial fibrillation (AF). Methods and results: We searched PubMed, Scopus, and Cochrane databases from 1/1/1990 to 8/1/2016 for trials and observational studies reporting AF ablation outcomes. Major exclusion criteria were insufficient reporting of outcomes, non‐English language articles, and ablation strategies that were not prespecified and uniform. We described geographic and racial representation and single‐procedure ablation success rates by country, controlling for patient demographics and study design characteristics. The analysis cohort included 306 studies (49,227 patients) from 28 countries. Over half of the paroxysmal (PAF) and nonparoxysmal AF (NPAF) treatment arms were conducted in 5 and 3 countries, respectively. Reporting of race or ethnicity demographics and outcomes were rare (1 study, 0.3%) and nonexistent, respectively. Unadjusted success rates by country ranged from 63.5% to 83.0% for PAF studies and 52.7% to 71.6% for NPAF studies, with substantial variation in patient demographics and study design. After controlling for covariates, South Korea and the United States had higher PAF ablation success rates, with large residual heterogeneity. NPAF ablation success rates were statistically similar by country. Conclusions: Studies of AF ablation have substantial variation in patient demographics, study design, and reported outcomes by country. There is limited geographic representation of trials and observational studies of AF ablation and a paucity of race‐ or ethnicity‐stratified results. Future AF ablation studies and registries should aim to have broad representation by race, geography, and ethnicity to ensure generalizability. [ABSTRACT FROM AUTHOR]

Introduction: Data regarding catheter ablation of atrial fibrillation (AF) in patients with chronic kidney disease (CKD) is limited. We therefore assessed the association of CKD with common safety and clinical outcomes in a nationwide sample of ablation recipients. Methods: UsingMarketScanR® Commercial Claims and Medicare Supplemental Databases, we evaluated 30-day safety and 1-year clinical outcomes in patients who underwent a first AF ablation procedure between 2007 and 2011. We calculated frequency of common 30-day complications and calculated frequencies, incidence rates, and Cox proportional hazards for outcomes at 1-year postablation. Results: Of 21,091 patients included, 1,593 (7.6%) had CKD. Patients with CKD were older (64 years vs. 59 years, P < 0.001) with higher CHA2DS2-VASc scores (3.2 vs. 1.8, P < 0.001). At 30 days postablation, patients with CKD had similar rates of stroke/TIA (0.13% vs. 0.13%, P = 0.99), perforation/tamponade (3.2% vs. 3.1%, P = 0.83), and vascular complications (2.4% vs. 2.2%, P = 0.59) as patients without CKD, but were more likely to be hospitalized for heart failure (2.1% vs. 0.4%, P < 0.001). In multivariate analysis, there were no significant differences in hazards of AF hospitalization (adjusted HR: 1.02, 95%CI: 0.87-1.20), cardioversion (adjusted HR: 0.99, 95%CI: 0.87-1.12), or repeat AF ablation (adjusted HR: 0.89, 95%CI: 0.76-1.06) at 1 year. Conclusions: Among patients selected for AF ablation, those with and without CKD had similar rates of postprocedural complications although they were more likely to be re-admitted for heart failure. CKD was not independently associated with AF hospitalization, cardioversion, and repeat ablation. These findings can inform clinical decision-making in patients with AF and CKD. [ABSTRACT FROM AUTHOR]

Background The impact of depression on outcome in implantable cardioverter defibrillator (ICD) recipients has not been fully appreciated. We assessed the prevalence of depression and its association with heart failure (HF) outcome among veterans with ICDs. Methods and Results Patients enrolled between January 2005 and January 2010 in the Outcomes among Veterans with Implantable Defibrillators Registry were studied. We examined the cross-sectional association of depression with severity of HF functional class as well as the association of depression with the composite outcome of mortality or HF hospitalization over a mean follow-up time of 2.7 years. There were 3,862 patients enrolled. Patients with depression (1,162, 43%) were younger (63.1 ± 9.4 years vs 66.6 ± 9.9 years, P < 0.001), more likely to have a history of tobacco or alcohol abuse (P < 0.0001) or atrial fibrillation (P = 0.05) while having a higher ejection fraction (28.3% vs 27.4%, P = 0.03). Depression was associated with advanced HF class at time of implant; odds ratio (OR; vs class I) for class III: 1.65 (confidence interval [CI] 1.17-2.33), class IV: 1.73 (95% CI 1.08-2.76). Death or HF hospitalization was more likely to occur in patients with depression (35.2% vs 32.0%, HR: 1.15 [95% CI 0.99-1.33]). The predictive value of depression was stronger after multivariable adjustment; HR: 1.25 (95% CI 1.05-1.49). Conclusion Depression was prevalent among veterans with ICDs. Depression was associated with severity of HF. The predictive value of associated depression was significant after multivariable adjustment. [ABSTRACT FROM AUTHOR]

BACKGROUND: This study examined the association of hematocrit (Hct) levels measured upon intensive care unit (ICU) admission and red blood cell transfusions to long-term (1-year or 180-day) mortality for both surgical and medical patients. STUDY DESIGN AND METHODS: Administrative and laboratory data were collected retrospectively on 2393 consecutive medical and surgical male patients admitted to the ICU between 2003 and 2009. We stratified patients based on their median Hct level during the first 24 hours of their ICU stay (Hct < 25.0%, 25% ≤ Hct < 30%, 30% ≤ Hct < 39%, and 39.0% and higher). An extended Cox regression analysis was conducted to identify the time period after ICU admission (0 to <180, 180 to 365 days) when low Hct (<25.0) was most strongly associated with mortality. The unadjusted and adjusted relationship between admission Hct level, receipt of a transfusion, and 180-day mortality was assessed using Cox proportional hazards regression modeling. RESULTS: Patients with an Hct level of less than 25% who were not transfused had the worst mortality risk overall (hazard ratio [HR], 6.26; 95% confidence interval [CI], 3.05-12.85; p < 0.001) during the 6 months after ICU admission than patients with a Hct level of 39.0% or more who were not transfused. Within the subgroup of patients with a Hct level of less than 25% only, receipt of a transfusion was associated with a significant reduction in the risk of mortality (HR, 0.40; 95% CI, 0.19-0.85; p = 0.017). CONCLUSION: Anemia of a Hct level of less than 25% upon admission to the ICU, in the absence of a transfusion, is associated with long-term mortality. Our study suggests that there may be Hct levels below which the transfusion risk-to-benefit imbalance reverses. [ABSTRACT FROM AUTHOR]

Tachycardia Detection, ICD, CRT-D Devices, Appropriate and Inappropriate Shock. Introduction: We evaluated the frequency of appropriate and inappropriate shocks and survival in patients using dual-zone programming versus single-zone programming. Methods and Results: For the ALTITUDE REDUCES study, patients were followed for 1.6 ± 1.1 years. The 12-month incidence of any shock was lower for dual-versus single-zone programmed detection at rates ≤170 bpm and between 170-200 bpm (P < 0.001). Appropriate shock rates at 1 year were also lower with dual-zone programming in these rate intervals (single zone 9.1%, 5.4%, P < 0.001, dual zone 6.7%, 4.7%, P < 0.02). There were no detectable differences between single- and dual-zone shock incidence at detection rates ≥ 200 bpm (P = 0.14). Inappropriate shock incidence was less with dual- versus single-zone detection at all detect rates <200 bpm, but not at rates ≥200 bpm (P < 0.001, P = 0.37). The lowest risk of appropriate and inappropriate shock was associated with dual-zone programming and detection rates ≥200 bpm (2.1%). Dual-zone detection was associated with more nonsustained and diverted therapy episodes but these patients did not have an increased risk of death compared to patients with single-zone programming. Patients programmed to low detection rate, single-zone detection and shock-only therapy also had the highest preshock mortality risk (P = 0.05). Conclusions: Shock incidence is lowest with either single- or dual-zone detection ≥200 bpm. For detection rates <200 bpm, dual-zone programming is associated with a reduction in the incidence of total shocks, appropriate shocks, and inappropriate shocks. (J Cardiovasc Electrophysiol, Vol. 22, pp. 1023-1029, September 2011) [ABSTRACT FROM AUTHOR]