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The risk of adverse events from ascending thoracic aorta aneurysm (TAA) is poorly understood but drives clinical decision-making.To evaluate the association of TAA size with outcomes in nonsyndromic patients in a large non-referral-based health care delivery system.The Kaiser Permanente Thoracic Aortic Aneurysm (KP-TAA) cohort study was a retrospective cohort study at Kaiser Permanente Northern California, a fully integrated health care delivery system insuring and providing care for more than 4.5 million persons. Nonsyndromic patients from a regional TAA safety net tracking system were included. Imaging data including maximum TAA size were merged with electronic health record (EHR) and comprehensive death data to obtain demographic characteristics, comorbidities, medications, laboratory values, vital signs, and subsequent outcomes. Unadjusted rates were calculated and the association of TAA size with outcomes was evaluated in multivariable competing risk models that categorized TAA size as a baseline and time-updated variable and accounted for potential confounders. Data were analyzed from January 2018 to August 2021.TAA size.Aortic dissection (AD), all-cause death, and elective aortic surgery.Of 6372 patients with TAA identified between 2000 and 2016 (mean [SD] age, 68.6 [13.0] years; 2050 female individuals [32.2%] and 4322 male individuals [67.8%]), mean (SD) initial TAA size was 4.4 (0.5) cm (828 individuals [13.0% of cohort] had initial TAA size 5.0 cm or larger and 280 [4.4%] 5.5 cm or larger). Rates of AD were low across a mean (SD) 3.7 (2.5) years of follow-up (44 individuals [0.7% of cohort]; incidence 0.22 events per 100 person-years). Larger initial aortic size was associated with higher risk of AD and all-cause death in multivariable models, with an inflection point in risk at 6.0 cm. Estimated adjusted risks of AD within 5 years were 0.3% (95% CI, 0.3-0.7), 0.6% (95% CI, 0.4-1.3), 1.5% (95% CI, 1.2-3.9), 3.6% (95% CI, 1.8-12.8), and 10.5% (95% CI, 2.7-44.3) in patients with TAA size of 4.0 to 4.4 cm, 4.5 to 4.9 cm, 5.0 to 5.4 cm, 5.5 to 5.9 cm, and 6.0 cm or larger, respectively, in time-updated models. Rates of the composite outcome of AD and all-cause death were higher than for AD alone, but a similar inflection point for increased risk was observed at 6.0 cm.In a large sociodemographically diverse cohort of patients with TAA, absolute risk of aortic dissection was low but increased with larger aortic sizes after adjustment for potential confounders and competing risks. Our data support current consensus guidelines recommending prophylactic surgery in nonsyndromic individuals with TAA at a 5.5-cm threshold.

The approved use of transcatheter aortic valve replacement (TAVR) for aortic stenosis has expanded substantially over time. However, gaps remain with respect to accurately delineating risk for poor clinical and patient-centered outcomes. Our objective was to develop prediction models for 30-day clinical and patient-centered outcomes after TAVR within a large, diverse community-based population.We identified all adults who underwent TAVR between 2013-2019 at Kaiser Permanente Northern California, an integrated healthcare delivery system, and were monitored for the following 30-day outcomes: all-cause death, improvement in quality of life, all-cause hospitalizations, all-cause emergency department (ED) visits, heart failure (HF)-related hospitalizations, and HF-related ED visits. We developed prediction models using gradient boosting machines using linked demographic, clinical and other data from the Society for Thoracic Surgeons (STS)/American College of Cardiology (ACC) TVT Registry and electronic health records. We evaluated model performance using area under the curve (AUC) for model discrimination and associated calibration plots. We also evaluated the association of individual predictors with outcomes using logistic regression for quality of life and Cox proportional hazards regression for all other outcomes.We identified 1,565 eligible patients who received TAVR. The risks of adverse 30-day post-TAVR outcomes ranged from 1.3% (HF hospitalizations) to 15.3% (all-cause ED visits). In models with the highest discrimination, discrimination was only moderate for death (AUC 0.60) and quality of life (AUC 0.62), but better for HF-related ED visits (AUC 0.76). Calibration also varied for different outcomes. Importantly, STS risk score only independently predicted death and all-cause hospitalization but no other outcomes. Older age also only independently predicted HF-related ED visits, and race/ethnicity was not significantly associated with any outcomes.Despite using a combination of detailed STS/ACC TVT Registry and electronic health record data, predicting short-term clinical and patient-centered outcomes after TAVR remains challenging. More work is needed to identify more accurate predictors for post-TAVR outcomes to support personalized clinical decision making and monitoring strategies.

Venous thromboembolism (VTE) is commonly treated with oral anticoagulants, including warfarin or direct oral anticoagulants (DOACs). Although DOACs are associated with favorable treatment satisfaction, few studies have assessed whether quality of life differs between DOAC and warfarin users.We invited adults enrolled in two California-based integrated health care delivery systems and with a history of VTE between January 1, 2015 and June 30, 2018 to complete a survey on their experience with anticoagulants. Health-related quality of life (QOL) was assessed using the RAND 36-item Short Form Health Survey (SF-36), which measures QOL in 2 general component scores (physical and mental). We used multivariable linear regression to compare mean QOL component scores between DOAC-users and warfarin-users, adjusting for patient and clinical characteristics.Overall, 2230 patients (43.1 % women and 31.8 %75 years of age) taking anticoagulants answered at least 1 question on the SF-36, 975 taking DOACs and 1255 taking warfarin. After adjustment for patient-level factors, there were no significant differences in either physical component scores (39.2 v 38.3, p = 0.24) or mental component scores (48.5 v 49.0, p = 0.42) between DOAC and warfarin users.Health-related QOL did not significantly differ between DOAC and warfarin users with a history of VTE.

Accurate diagnosis of arrhythmias is improved with longer monitoring duration but can risk delayed diagnosis. We compared diagnostic yield, outcomes, and resource utilization by arrhythmia monitoring strategy in 330 matched adults (mean age 64 years, 40% women, and 30% non-White) without previously documented atrial fibrillation or atrial flutter (AF/AFL) who received ambulatory electrocardiographic monitoring by 14-day Zio XT (patch-based continuous monitor), 24-hour Holter, or 30-day event monitor (external loop recorder) between October 2011 and May 2014. Patients were matched by age, gender, site, likelihood of receiving Zio XT patch, and indication for monitoring, and subsequently followed for monitoring results, management changes, clinical outcomes, and resource utilization. AF/AFL ≥30 seconds was noted in 6% receiving Zio XT versus 0% by Holter (p = 0.04) and 3% by event monitor (p = 0.07). Nonsustained ventricular tachycardia was noted in 24% for Zio XT patch versus 8% (p0.001) for Holter and 4% (p0.001) for event monitor. No significant differences between monitoring strategies in outcomes or resource utilization were observed. Prolonged monitoring with 14-day Zio XT patch or 30-day event monitor was superior to 24-hour Holter in detecting new AF/AFL but not different from each other. Documented nonsustained ventricular tachycardia was more frequent with Zio XT than 24-hour Holter and 30-day event monitor without apparent increased risk of adverse outcomes or excess utilization. In conclusion, additional efforts are needed to further personalize electrocardiographic monitoring strategies that optimize clinical management and outcomes.

PURPOSE Our objective was to calculate the positive predictive value (PPV) of the ICD-9 diagnosis code for angioedema when physicians adjudicate the events by electronic health record review. Our secondary objective was to evaluate the inter-rater reliability of physician adjudication. METHODS Patients from the Cardiovascular Research Network previously diagnosed with heart failure who were started on angiotensin-converting enzyme inhibitors (ACEI) during the study period (July 1, 2006 through September 30, 2015) were included. A team of two physicians per participating site adjudicated possible events using electronic health records for all patients coded for angioedema for a total of five sites. The PPV was calculated as the number of physician-adjudicated cases divided by all cases with the diagnosis code of angioedema (ICD-9-CM code 995.1) meeting the inclusion criteria. The inter-rater reliability of physician teams, or kappa statistic, was also calculated. RESULTS There were 38 061 adults with heart failure initiating ACEI in the study (21 489 patient-years). Of 114 coded events that were adjudicated by physicians, 98 angioedema events were confirmed for a PPV of 86% (95% CI: 80%, 92%). The kappa statistic based on physician inter-rater reliability was 0.65 (95% CI: 0.47, 0.82). CONCLUSIONS ICD-9 diagnosis code of 995.1 (angioneurotic edema, not elsewhere classified) is highly predictive of angioedema in adults with heart failure exposed to ACEI.

Background Limited existing data suggest that the novel COVID-19 may increase risk of VTE, but information from large, ethnically diverse populations with appropriate control participants is lacking. Research Question Does the rate of VTE among adults hospitalized with COVID-19 differ from matched hospitalized control participants without COVID-19? Study Design and Methods We conducted a retrospective study among hospitalized adults with laboratory-confirmed COVID-19 and hospitalized adults without evidence of COVID-19 matched for age, sex, race or ethnicity, acute illness severity, and month of hospitalization between January 2020 and August 2020 from two integrated health care delivery systems with 36 hospitals. Outcomes included VTE (DVT or pulmonary embolism ascertained using diagnosis codes combined with validated natural language processing algorithms applied to electronic health records) and death resulting from any cause at 30 days. Fine and Gray hazards regression was performed to evaluate the association of COVID-19 with VTE after accounting for competing risk of death and residual differences between groups, as well as to identify predictors of VTE in patients with COVID-19. Results We identified 6,319 adults with COVID-19 and 6,319 matched adults without COVID-19, with mean ± SD age of 60.0 ± 17.2 years, 46% women, 53.1% Hispanic, 14.6% Asian/Pacific Islander, and 10.3% Black. During 30-day follow-up, 313 validated cases of VTE (160 COVID-19, 153 control participants) and 1,172 deaths (817 in patients with COVID-19, 355 in control participants) occurred. Adults with COVID-19 showed a more than threefold adjusted risk of VTE (adjusted hazard ratio, 3.48; 95% CI, 2.03-5.98) compared with matched control participants. Predictors of VTE in patients with COVID-19 included age ≥ 55 years, Black race, prior VTE, diagnosed sepsis, prior moderate or severe liver disease, BMI ≥ 40 kg/m2, and platelet count > 217 k/μL. Interpretation Among ethnically diverse hospitalized adults, COVID-19 infection increased the risk of VTE, and selected patient characteristics were associated with higher thromboembolic risk in the setting of COVID-19.

Limited data exist in large, representative populations about whether the risk of thromboembolic events varies after receiving four-factor human prothrombin complex concentrate (4F-PCC) versus treatment with human plasma for urgent reversal of oral vitamin K antagonist therapy. We conducted a multicenter observational study to compare the 45-day risk of thromboembolic events in adults with warfarin-associated major bleeding after treatment with 4F-PCC (Kcentra®) or plasma. Hospitalized patients in two large integrated healthcare delivery systems who received 4F-PCC or plasma for reversal of warfarin due to major bleeding from January 1, 2008 to March 31, 2020 were identified and were matched 1:1 on potential confounders and a high-dimensional propensity score. Arterial and venous thromboembolic events were identified up to 45 days after receiving 4F-PCC or plasma from electronic health records and adjudicated by physician review. Among 1119 patients receiving 4F-PCC and a matched historical cohort of 1119 patients receiving plasma without a recent history of thromboembolism, mean (SD) age was 76.7 (10.5) years, 45.6% were women, and 9.4% Black, 14.6% Asian/Pacific Islander, and 15.7% Hispanic. The 45-day risk of thromboembolic events was 3.4% in those receiving 4F-PCC and 4.1% in those receiving plasma (P = 0.26; adjusted hazard ratio 0.76; 95% confidence interval 0.49-1.16). The adjusted risk of all-cause death at 45 days post-treatment was lower in those receiving 4F-PCC compared with plasma. Among a large, ethnically diverse cohort of adults treated for reversal of warfarin-associated bleeding, receipt of 4F-PCC was not associated with an excess risk of thromboembolic events at 45 days compared with plasma therapy.

Treatment options for patients with venous thromboembolism (VTE) include warfarin and direct oral anticoagulants (DOACs). Although DOACs are easier to administer than warfarin and do not require routine laboratory monitoring, few studies have directly assessed whether patients are more satisfied with DOACs. We surveyed adults from two large integrated health systems taking DOACs or warfarin for incident VTE occurring between January 1, 2015 and June 30, 2018. Treatment satisfaction was assessed using the validated Anti-Clot Treatment Scale (ACTS), divided into the ACTS Burdens and ACTS Benefits scores; higher scores indicate greater satisfaction. Mean treatment satisfaction was compared using multivariable linear regression, adjusting for patient demographic and clinical characteristics. The effect size of the difference in means was calculated using a Cohen’s d (0.20 is considered a small effect and ≥ 0.80 is considered large). We surveyed 2217 patients, 969 taking DOACs and 1248 taking warfarin at the time of survey. Thirty-one point five percent of the cohort was aged ≥ 75 years and 43.1% were women. DOAC users were on average more satisfied with anticoagulant treatment, with higher adjusted mean ACTS Burdens (50.18 v. 48.01, p

Background Systematic case identification is critical to improving population health, but widely used diagnosis code–based approaches for conditions like valvular heart disease are inaccurate and lack specificity. Objective To develop and validate natural language processing (NLP) algorithms to identify aortic stenosis (AS) cases and associated parameters from semi-structured echocardiogram reports and compare their accuracy to administrative diagnosis codes. Methods Using 1003 physician-adjudicated echocardiogram reports from Kaiser Permanente Northern California, a large, integrated healthcare system (>4.5 million members), NLP algorithms were developed and validated to achieve positive and negative predictive values > 95% for identifying AS and associated echocardiographic parameters. Final NLP algorithms were applied to all adult echocardiography reports performed between 2008 and 2018 and compared to ICD-9/10 diagnosis code–based definitions for AS found from 14 days before to 6 months after the procedure date. Results A total of 927,884 eligible echocardiograms were identified during the study period among 519,967 patients. Application of the final NLP algorithm classified 104,090 (11.2%) echocardiograms with any AS (mean age 75.2 years, 52% women), with only 67,297 (64.6%) having a diagnosis code for AS between 14 days before and up to 6 months after the associated echocardiogram. Among those without associated diagnosis codes, 19% of patients had hemodynamically significant AS (ie, greater than mild disease). Conclusion A validated NLP algorithm applied to a systemwide echocardiography database was substantially more accurate than diagnosis codes for identifying AS. Leveraging machine learning–based approaches on unstructured electronic health record data can facilitate more effective individual and population management than using administrative data alone.

ImportancePatients hospitalized with COVID-19 have higher rates of venous thromboembolism (VTE), but the risk and predictors of VTE among individuals with less severe COVID-19 managed in outpatient settings are less well understood.ObjectivesTo assess the risk of VTE among outpatients with COVID-19 and identify independent predictors of VTE.Design, Setting, and ParticipantsA retrospective cohort study was conducted at 2 integrated health care delivery systems in Northern and Southern California. Data for this study were obtained from the Kaiser Permanente Virtual Data Warehouse and electronic health records. Participants included nonhospitalized adults aged 18 years or older with COVID-19 diagnosed between January 1, 2020, and January 31, 2021, with follow-up through February 28, 2021.ExposuresPatient demographic and clinical characteristics identified from integrated electronic health records.Main Outcomes and MeasuresThe primary outcome was the rate per 100 person-years of diagnosed VTE, which was identified using an algorithm based on encounter diagnosis codes and natural language processing. Multivariable regression using a Fine-Gray subdistribution hazard model was used to identify variables independently associated with VTE risk. Multiple imputation was used to address missing data.ResultsA total of 398 530 outpatients with COVID-19 were identified. The mean (SD) age was 43.8 (15.8) years, 53.7% were women, and 54.3% were of self-reported Hispanic ethnicity. There were 292 (0.1%) VTE events identified over the follow-up period, for an overall rate of 0.26 (95% CI, 0.24-0.30) per 100 person-years. The sharpest increase in VTE risk was observed during the first 30 days after COVID-19 diagnosis (unadjusted rate, 0.58; 95% CI, 0.51-0.67 per 100 person-years vs 0.09; 95% CI, 0.08-0.11 per 100 person-years after 30 days). In multivariable models, the following variables were associated with a higher risk for VTE in the setting of nonhospitalized COVID-19: age 55 to 64 years (HR 1.85 [95% CI, 1.26-2.72]), 65 to 74 years (3.43 [95% CI, 2.18-5.39]), 75 to 84 years (5.46 [95% CI, 3.20-9.34]), greater than or equal to 85 years (6.51 [95% CI, 3.05-13.86]), male gender (1.49 [95% CI, 1.15-1.96]), prior VTE (7.49 [95% CI, 4.29-13.07]), thrombophilia (2.52 [95% CI, 1.04-6.14]), inflammatory bowel disease (2.43 [95% CI, 1.02-5.80]), body mass index 30.0-39.9 (1.57 [95% CI, 1.06-2.34]), and body mass index greater than or equal to 40.0 (3.07 [1.95-4.83]).Conclusions and RelevanceIn this cohort study of outpatients with COVID-19, the absolute risk of VTE was low. Several patient-level factors were associated with higher VTE risk; these findings may help identify subsets of patients with COVID-19 who may benefit from more intensive surveillance or VTE preventive strategies.

Key Points Question What are the overall burden and temporal trends in the rate of hospitalizations for worsening heart failure (WHF)? Findings This cohort study of 118 002 patients found that applying rigorous and prespecified diagnostic criteria to electronic health record data was associated with a more than 2-fold increase in the number of hospitalizations for WHF identified compared with estimates using a principal discharge diagnosis alone. There has been a gradual increase in the rate of hospitalizations for WHF over time, with a more noticeable increase observed among patients with heart failure with a preserved ejection fraction. Meaning These findings suggest that population temporal trends based on a principal hospital discharge diagnosis of heart failure may underreport the increasing burden of hospitalizations for WHF, particularly among those with heart failure with a preserved ejection fraction, compared with a comprehensive approach using structured and unstructured electronic health record data., Importance The current understanding of epidemiological mechanisms and temporal trends in hospitalizations for worsening heart failure (WHF) is based on claims and national reporting databases. However, these data sources are inherently limited by the accuracy and completeness of diagnostic coding and/or voluntary reporting. Objective To assess the overall burden of and temporal trends in the rate of hospitalizations for WHF. Design, Setting, and Participants This cohort study, performed from January 1, 2010, to December 31, 2019, used electronic health record (EHR) data from a large integrated health care delivery system. Exposures Calendar year trends. Main Outcomes and Measures Hospitalizations for WHF (ie, excluding observation stays) were defined as 1 symptom or more, 2 objective findings or more including 1 sign or more, and 2 doses or more of intravenous loop diuretics and/or new hemodialysis or continuous kidney replacement therapy. Symptoms and signs were identified using natural language processing (NLP) algorithms applied to EHR data. Results The study population was composed of 118 002 eligible patients experiencing 287 992 unique hospitalizations (mean [SD] age, 75.6 [13.1] years; 147 203 [51.1%] male; 1655 [0.6%] American Indian or Alaska Native, 28 451 [9.9%] Asian or Pacific Islander, 34 903 [12.1%] Black, 23 452 [8.1%] multiracial, 175 840 [61.1%] White, and 23 691 [8.2%] unknown), including 65 357 with a principal discharge diagnosis and 222 635 with a secondary discharge diagnosis of HF. The study population included 59 868 patients (20.8%) with HF with a reduced ejection fraction (HFrEF) (, This cohort study uses rule-based natural language processing algorithms applied to electronic health record data to examine the overall burden of and temporal trends in the rate of hospitalizations for worsening heart failure overall and by the degree of systolic dysfunction.

Objective: Patients with risk factors for or established atherosclerotic cardiovascular disease (ASCVD) remain at high risk for subsequent ischemic events despite statin therapy. Triglyceride (TG) levels may contribute to residual ASCVD risk, and the performance of global risk assessment calculators across a broad range of TG levels is unknown. Methods: We performed a retrospective cohort study of Kaiser Permanente Northern California members aged ≥45 years with ≥1 ASCVD risk factor (primary prevention cohort) or established ASCVD (secondary prevention cohort) between 2010 and 2017 who were receiving statin therapy and had a low-density lipoprotein cholesterol between 41–100 mg/dL. Global ASCVD risk assessment was performed using both the Kaiser Permanente ASCVD Risk Estimator (KPARE) and the ACC/AHA ASCVD Pooled Cohort Equation (PCE). Outcomes included major adverse cardiovascular events (MACE) defined as myocardial infarction, stroke, or peripheral artery disease, and expanded MACE (MACE + coronary revascularization + hospitalization for unstable angina). Results: Among 373,389 patients in the primary prevention cohort, median TG was 122 mg/dL (IQR 88–172 mg/dL) and there were 0.2 MACE events and 0.3 expanded MACE events per 100-person years. Among 97,832 patients in the secondary prevention cohort, median TG level was 116 mg/dL (IQR 84–164 mg/dL) and there were 9.6 MACE events and 22.0 expanded MACE events per 100-person years. KPARE and the ACC/AHA PCE stratified patients for MACE and expanded MACE over the entire range of TGs. Conclusion: In a cohort receiving statin therapy for primary or secondary prevention, we found global assessment further improves risk stratification for initial and/or recurrent ASCVD events irrespective of baseline TG level.

The impact of the novel coronavirus disease 2019 (COVID-19) pandemic on diet and nutrition among older adults with chronic medical conditions have not been well-described.We conducted a survey addressing (1) food access, (2) diet quality and composition, (3) nutritional understanding, and (4) attitudes towards research among adults with heart failure (HF) within an integrated health system. Adults (≥18 years) with diagnosed HF and at least one prior hospitalization for HF within the last 12 months were approached to complete the survey electronically or by mail. Outcomes included all-cause and HF-specific hospitalizations and all-cause death was ascertained via the electronic health record.Among 1212 survey respondents (32.5% of eligible patients) between May 18, 2020 and September 30, 2020, mean ± SD age was 77.9 ± 11.4 years, 50.1% were women, and median (25th-75th) left ventricular ejection fraction was 55% (40%-60%). Overall, 15.1% of respondents were food insecure, and only 65% of participants answered correctly more than half of the items assessing nutritional knowledge. Although most respondents were willing to participate in future research, that number largely declined for studies requiring blood draws (32.2%), study medication (14.4%), and/or behavior change (27.1%). Food security, diet quality, and nutritional knowledge were not independently associated with outcomes at 90 or 180 days.In a cohort of older adults with HF and multiple comorbidities, a significant proportion reported issues with food access, diet quality, and nutritional knowledge during the COVID-19 pandemic. Future research should evaluate interventions targeting these domains in at-risk individuals.

Background Patients with risk factors or established atherosclerotic cardiovascular disease remain at high‐risk for ischemic events. Triglyceride levels may play a causal role. Methods and Results We performed a retrospective study of adults aged ≥45 years receiving statin therapy, with a low‐density lipoprotein cholesterol of 41 to 100 mg/dL, and ≥1 risk factor or established atherosclerotic cardiovascular disease between 2010 and 2017. Outcomes included death, all‐cause hospitalization, and major adverse cardiovascular events (myocardial infarction, stroke, or peripheral artery disease). The study sample included 373 389 primary prevention patients and 97 832 secondary prevention patients. The primary prevention cohort had a mean age of 65±10 years, with 51% women and 44% people of color, whereas the secondary prevention cohort had a mean age of 71±11 years, with 37% women and 32% people of color. Median triglyceride levels for the primary and secondary prevention cohorts were 122 mg/dL (interquartile range, 88–172 mg/dL) and 116 mg/dL (interquartile range, 84–164 mg/dL), respectively. In multivariable analyses, primary prevention patients with triglyceride levels ≥150 mg/dL were at lower adjusted risk of death (hazard ratio [HR], 0.91; 95% CI, 0.89–0.94) and higher risk of major adverse cardiovascular events (HR, 1.14; 95% CI, 1.05–1.24). In the secondary prevention cohort, patients with triglyceride levels ≥150 mg/dL were at lower adjusted risk of death (HR, 0.95; 95% CI, 0.92–0.97) and higher risk of all‐cause hospitalization (HR, 1.03; 95% CI, 1.01–1.05) and major adverse cardiovascular events (HR, 1.04; 95% CI, 1.05–1.24). Conclusions In a contemporary cohort receiving statin therapy, elevated triglyceride levels were associated with a greater risk of atherosclerotic cardiovascular disease events and lower risk of death.

Aims Human immunodeficiency virus (HIV) increases the risk of heart failure (HF), but whether it influences subsequent morbidity and mortality remains unclear. Methods and results We investigated the risks of hospitalization for HF, HF-related emergency department (ED) visits, and all-cause death in an observational cohort of incident HF patients with and without HIV using data from three large US integrated healthcare delivery systems. We estimated incidence rates and adjusted hazard ratios (aHRs) by HIV status at the time of HF diagnosis for subsequent outcomes. We identified 448 persons living with HIV (PLWH) and 3429 without HIV who developed HF from a frequency-matched source cohort of 38 868 PLWH and 386 586 without HIV. Mean age was 59.5 ± 11.3 years with 9.8% women and 31.8% Black, 13.1% Hispanic, and 2.2% Asian/Pacific Islander. Compared with persons without HIV, PLWH had similar adjusted rates of HF hospitalization [aHR 1.01, 95% confidence interval (CI): 0.81–1.26] and of HF-related ED visits [aHR 1.22 (95% CI: 0.99–1.50)], but higher adjusted rates of all-cause death [aHR 1.31 (95% CI: 1.08–1.58)]. Adjusted rates of HF-related morbidity and all-cause death were directionally consistent across a wide range of CD4 counts but most pronounced in the subset with a baseline CD4 count Conclusion In a large, diverse cohort of adults with incident HF receiving care within integrated healthcare delivery systems, PLWH were at an independently higher risk of all-cause death but not HF hospitalizations or HF-related ED visits. Future studies investigating modifiable HIV-specific risk factors may facilitate more personalized care to optimize outcomes for PLWH and HF.

Background To examine the individual and combined associations of noncardiac-related conditions and mobility limitation with morbidity and mortality in adults with heart failure (HF). Methods We conducted a retrospective cohort study in a large, diverse group of adults with HF from five U.S. integrated healthcare delivery systems. We characterized patients with respect to the presence of noncardiac conditions ( Results Among 114,553 adults diagnosed with HF (mean age: 73 years old, 46% women), compared with Conclusions There is an additive association of mobility limitation, beyond the burden of noncardiac multimorbidity, on mortality for patients with HF, and especially prominent in younger patients.

OBJECTIVE To determine whether burden of multiple chronic conditions (MCCs) influences the risk of receiving inappropriate vs appropriate device therapies. DESIGN Retrospective cohort study. SETTING Seven US healthcare delivery systems. PARTICIPANTS Adults with left ventricular systolic dysfunction receiving an implantable cardioverter-defibrillator (ICD) for primary prevention. MEASUREMENTS Data on 24 comorbid conditions were captured from electronic health records and categorized into quartiles of comorbidity burden (0-3, 4-5, 6-7 and 8-16). Incidence of ICD therapies (shock and antitachycardia pacing [ATP] therapies), including appropriateness, was collected for 3 years after implantation. Outcomes included time to first ICD therapy, total ICD therapy burden, and risk of inappropriate vs appropriate ICD therapy. RESULTS Among 2235 patients (mean age = 69 ± 11 years, 75% men), the median number of comorbidities was 6 (interquartile range = 4-8), with 98% having at least two comorbidities. During a mean 2.2 years of follow-up, 18.3% of patients experienced at least one appropriate therapy and 9.9% experienced at least one inappropriate therapy. Higher comorbidity burden was associated with an increased risk of first inappropriate therapy (adjusted hazard ratio [HR] = 1.94 [95% confidence interval {CI} = 1.14-3.31] for 4-5 comorbidities; HR = 2.25 [95% CI = 1.25-4.05] for 6-7 comorbidities; and HR = 2.91 [95% CI = 1.54-5.50] for 8-16 comorbidities). Participants with 8-16 comorbidities had a higher total burden of ICD therapy (adjusted relative risk [RR] = 2.12 [95% CI = 1.43-3.16]), a higher burden of inappropriate therapy (RR = 3.39 [95% CI = 1.67-6.86]), and a higher risk of receiving inappropriate vs appropriate therapy (RR = 1.74 [95% CI = 1.07-2.82]). Comorbidity burden was not significantly associated with receipt of appropriate ICD therapies. Patterns were similar when separately examining shock or ATP therapies. CONCLUSIONS In primary prevention ICD recipients, MCC burden was independently associated with an increased risk of inappropriate but not appropriate device therapies. Comorbidity burden should be considered when engaging patients in shared decision making about ICD implantation.

BackgroundVariation in outcomes by race/ethnicity in adults with heart failure (HF) has been previously observed. Identifying factors contributing to these variations could help target interventions. We evaluated the association of race/ethnicity with HF outcomes and potentially contributing factors within a contemporary HF cohort.Methods and ResultsWe identified members of Kaiser Permanente Northern California, a large integrated healthcare delivery system, who were diagnosed with HF between 2012 and 2016 and had at least 1 year of prior continuous membership and left ventricular ejection fraction data. We used Cox regression with time‐dependent covariates to evaluate the association of self‐identified race/ethnicity with HF or all‐cause hospitalization and all‐cause death, with backward selection for potential explanatory variables. Among 34 621 patients with HF, compared with White patients, Black patients had a higher rate of HF hospitalization (adjusted hazard ratio [HR], 1.28; 95% CI, 1.18–1.38) but a lower rate of death (adjusted HR, 0.78; 95% CI, 0.72–0.85). In contrast, Asian/Pacific Islander patients had similar rates of HF hospitalization, but lower rates of all‐cause hospitalization (adjusted HR, 0.89; 95% CI, 0.85–0.93) and death (adjusted HR, 0.75; 95% CI, 0.69–0.80). Hispanic patients also had a lower rate of death (adjusted HR, 0.85; 95% CI, 0.80–0.91). Sensitivity analyses showed that effect sizes for Black patients were larger among patients with reduced ejection fraction.ConclusionsIn a contemporary and diverse population with HF, Black patients experienced a higher rate of HF hospitalization and a lower rate of death compared with White patients. In contrast, selected outcomes for Asian/Pacific Islander and Hispanic patients were more favorable compared with White patients. The observed differences were not explained by measured potentially modifiable factors, including pharmacological treatment. Future research is needed to identify explanatory mechanisms underlying ongoing racial/ethnic variation to target potential interventions.

RESEARCH OBJECTIVE: Heart failure (HF)–related hospitalizations are a growing public health burden, especially among older adults. Risk calculators for HF readmissions identify patients at high risk for readmissions who may benefit from outpatient interventions to improve outcomes and prevent readmissions. We hypothesized that incorporating additional variables and using machine learning approaches would improve the performance of these existing 30‐day readmission risk calculators. STUDY DESIGN: We evaluated the performance of several published risk calculators for predicting 30‐day readmission after heart failure hospitalizations: 1) using updating the coefficients based on data from a new, ethnically diverse HF population; 2) developing a new model that incorporates additional variables in addition to updated coefficients; and 3) developing new models with all variables using machine learning approaches. We used an 80%/20% split sampling for development and validation testing. The risk calculators tested included the LACE+ Index and Yale CORE, which included traditional clinical variables such as comorbidities, laboratory values, prior utilization, and vital signs. For the model with additional variables, we included all variables used in the original models with the addition of Comorbidity Point Score (COPS), Laboratory‐based Acute Physiology Score (LAPS), cardiovascular medications, discharge status, and socioeconomic status. We evaluated the original model and the original plus model, the additional variables using logistic regression. For the machine learning approaches, we used lasso penalized regression and gradient boosting with k‐fold cross‐validation to avoid overfitting. We assessed model performance using area under the curve (AUC) and calibration plots. POPULATION STUDIED: We identified 38,234 adults hospitalized for HF between 2012 and 2017 within Kaiser Permanente Northern California, an integrated health care delivery system covering over 4.4 million members. PRINCIPAL FINDINGS: Discrimination (AUC) was poor using original models, LACE+ [0.60 (0.59‐0.62)] and Yale CORE [0.57 (0.56‐0.59)]. Including the additional variables resulted in a small improvement in AUC: LACE+ [0.62 (0.60‐0.64)] and Yale CORE [0.62 (0.60‐0.64)]. The lasso model [0.67 (0.65, 0.68) and gradient boosting model [0.67 (0.65‐0.68)] resulted in greater improvement. Calibration plots showed generally good calibration across all models with modest improvements after adding the additional data domains and using the machine learning approaches. CONCLUSIONS: Incorporating additional data domains led to small, statistically significant improvements in model discrimination while maintaining good calibration for published models to predict readmission. Machine learning approaches resulted in even greater improvement and overall moderate discrimination. IMPLICATIONS FOR POLICY OR PRACTICE: We were able to increase the utility of these published risk calculators for readmission after discharge from a HF hospitalization by including additional data domains and using machine learning approaches. Health systems attempting to adapt published risk calculators for readmissions should consider including these data domains and using machine learning approaches to improve performance. PRIMARY FUNDING SOURCE: The Permanente Medical Group Delivery Science Research Program.

Acute Myocardial Infarction and Covid-19 Data from the Kaiser Permanente Northern California health care system were used to compare rates of hospitalization for acute MI from March 4 through April...

Background The survival benefit associated with cumulative adherence to multiple clinical and lifestyle‐related guideline recommendations for secondary prevention after acute myocardial infarction ( AMI ) is not well established. Methods and Results We examined adults with AMI (mean age 68 years; 64% men) surviving at least 30 (N=25 778) or 90 (N=24 200) days after discharge in a large integrated healthcare system in Northern California from 2008 to 2014. The association between all‐cause death and adherence to 6 or 7 secondary prevention guideline recommendations including medical treatment (prescriptions for β‐blockers, renin‐angiotensin‐aldosterone system inhibitors, lipid medications, and antiplatelet medications), risk factor control (blood pressure AMI was evaluated with Cox proportional hazard models. To allow patients time to achieve low‐density lipoprotein cholesterol AMI . Overall guideline adherence was high (35% and 34% met 5 or 6 guidelines at 30 days; and 31% and 23% met 6 or 7 at 90 days, respectively). Greater guideline adherence was independently associated with lower mortality ( hazard ratio, 0.57 [95% CI, 0.49–0.66] for those meeting 7 and hazard ratio, 0.69 [95% CI, 0.61–0.78] for those meeting 6 guidelines versus 0 to 3 guidelines in 90‐day models, with similar results in the 30‐day models), with significantly lower mortality per each additional guideline recommendation achieved. Conclusions In a large community‐based population, cumulative adherence to guideline‐recommended medical therapy, risk factor control, and lifestyle changes after AMI was associated with improved long‐term survival. Full adherence was associated with the greatest survival benefit.

Introduction: Heart failure (HF)-related hospitalizations are a growing public health burden. We evaluated two published risk calculators for predicting 30-day readmission after HF hospitalizations: 1) using the original coefficients, 2) updating the coefficients 3) developing a new model with additional variables and updated coefficients. Hypothesis: Recalibrating model coefficients and adding variables would improve the performance of existing 30-day readmission risk calculators. Methods: We identified 45,059 adults hospitalized for HF between 2012-2017 within Kaiser Permanente Northern California, an integrated healthcare delivery system. We used split sampling for development and validation testing. The risk calculators tested included: LACE+ Index and Yale CORE. We used logistic regression on our population to derive the recalibrated coefficients. For the model with additional variables, we included all variables used in the original models plus additional variables, including cardiovascular medication use and socioeconomic status. We used gradient boosting with k-fold cross validation to avoid overfitting. We assessed model performance using area under the curve (AUC) and calibration plots. Results: Discrimination (AUC) was poor using original models: LACE+ [0.56 (0.54-0.58)] and Yale CORE [0.55 (0.54-0.57)]. Recalibrating coefficients resulted in small improvements for LACE+ [0.58 (0.57, 0.60)] and Yale CORE [0.58 (0.57, 0.60)]. Adding variables resulted in a modest improvement for the gradient boosting model [0.61 (0.59, 0.62)]. Calibration plots (Figure 1) showed good calibration except for the Yale CORE model with the original coefficients. Conclusions: Recalibrating coefficients and incorporating prior medication and socioeconomic status led to modest, significant improvements in discrimination while maintaining good calibration. However, overall performance improvements are needed to increase the utility of these published risk calculators to predict readmission.

Low transferrin saturation (TSAT) or reduced serum ferritin level are suggestive of iron deficiency but the relationship between iron parameters and outcomes has not been systematically evaluated in older adults with heart failure (HF) and anemia.We identified a multicenter cohort of adults age ≥ 65 years with HF and incident anemia (hemoglobin13 g/dL [men] or 12 g/dL [women]) between 2005 and 2012. Patients were included if ferritin (ng/mL) and TSAT (%) were evaluated within 90 days of incident anemia. HF hospitalizations and all-cause death were ascertained from electronic health records.Among 4103 older adults with HF and incident anemia, 47% had TSAT20% and the median (IQR) ferritin was 126 (53, 256) ng/mL. In multivariable analyses, compared with TSAT ≥20%, patients with TSAT20% were at increased risk of HF hospitalization for serum ferritin100 ng/mL (adjusted HR [aHR] 1.40, 95% CI:1.16-1.70) and 100-300 ng/mL (aHR 1.24, 95% CI:1.01-1.52) but not for a ferritin300 ng/mL (aHR 0.89, 95% CI 0.65-1.23). In addition, TSAT20% was independently associated with an increased risk of all-cause death regardless of serum ferritin level (100 ng/mL: aHR 1.42, 95% CI:1.20-1.68; 100-300 ng/mL: aHR 1.18, 95% CI:1.00-1.38;300 ng/mL: aHR 1.33, 95% CI:1.06-1.69).Among older adults with HF and incident anemia who had iron studies tested, nearly half had a TSAT20%, which was independently associated with higher rates of morbidity and death.

OBJECTIVES To assess multimorbidity burden and its association with clinical outcomes in adults with heart failure (HF) according to sex, age, and HF type. DESIGN Retrospective cohort study. SETTING Five healthcare delivery systems across the United States. PARTICIPANTS Adults with HF (N=114,553). MEASUREMENTS We characterized participants with respect to the presence of 26 chronic conditions categorized into quartiles based on overall burden of comorbidity (

Patients with heart failure (HF) and preserved (HFpEF) or borderline preserved ejection fraction (HFbEF) outnumber patients with HF and reduced ejection fraction (HFrEF), but limited data exist on outcomes in community-based populations of these patients. We examined clinical outcomes in a diverse population of adults with HFrEF, HFbEF, and HFpEF. All adults with diagnosed HF from 2005 to 2012 in Kaiser Permanente Northern California were categorized by left ventricular systolic function as HFpEF (EF ≥50%), HFbEF (EF 41-49%), or HFrEF (EF ≤40%). Demographics, clinical characteristics, and therapies were obtained from electronic records. Outcomes included death, HF hospitalization, and HF-related emergency department (ED) visit. In 28,914 eligible HF patients, there were 52% HFpEF, 16% HFbEF, and 32% HFrEF, with mean age 72.8 years and 45% women. During median follow-up of 3.5 years, crude rates (per 100 person-years) of death, HF hospitalization, and HF-related ED visit were 14.5 (95% CI 14.3 to 14.7), 15.8 (15.5 to 16.0), and 38.2 (37.8 to 38.5), respectively. Compared with HFrEF patients, adjusted hazard ratios of death, HF hospitalization, and HF-related ED visit for HFpEF patients were 0.82 (0.79 to 0.85), 0.72 (0.68 to 0.75), and 0.94 (0.90 to 0.99), respectively, and for HFbEF patients were 0.84 (0.79 to 0.88), 0.79 (0.73 to 0.84), and 0.90 (0.84 to 0.96), respectively. In conclusion, within a large community-based HF cohort, adjusted rates of death, HF hospitalization, and HF-related ED visits were similar in HFpEF and HFbEF patients, but higher in HFrEF patients. Regardless of systolic function, however, long-term mortality and morbidity in all HF patients remain high, reinforcing the need for novel strategies to improve long-term outcomes.

Administrative data are frequently used to identify venous thromboembolism (VTE) for research and quality reporting. However, the validity of these codes, particularly in outpatients, has not been well-established. To determine how well International Classification of Diseases, Ninth Revision (ICD-9) codes for VTE predict chart-confirmed acute VTE in inpatient and outpatients. We selected 4642 adults with an incident ICD-9 diagnosis of VTE between years 2004 and 2010 from the Cardiovascular Research Network Venous Thromboembolism cohort study. Medical charts were reviewed to determine validity of events. Positive predictive values (PPVs) of ICD-9 codes were calculated as the number of chart-validated VTE events divided by the number with specific VTE codes. Analyses were stratified by VTE type [pulmonary embolism (PE), deep venous thrombosis (DVT)], code position (primary, secondary), and setting [hospital/emergency department (ED), outpatient]. The PPV for any diagnosis of VTE was 64.6% for hospital/ED patients and 30.9% for outpatients. Primary diagnosis codes from hospital/ED patients were more likely to represent acute VTE than secondary diagnosis codes (78.9% vs. 44.4%, P

Objectives To assess the clinical effectiveness of beta-blocker therapy in individuals with heart failure (HF) and chronic lung disease and of angiotensin-converting enzyme inhibitors (ACE-Is) and angiotensin II receptor blockers (ARBs) in individuals with HF and chronic kidney disease. Design Retrospective cohort study. Setting Community. Participants Individuals with HF with reduced ejection fraction (HFrEF) or HF with preserved ejection fraction (HFpEF). Methods We undertook separate new-user cohort studies to assess the effectiveness of beta-blocker therapy in treating HF and chronic lung disease and ACE-Is and ARBs in treating HF and chronic kidney disease (CKD). Individuals with a chronic lung disease diagnosis were included in the group with HF and chronic lung disease (International Classification of Diseases, Ninth Revision, codes 490–496, 518). Individuals with an estimated glomerular filtration rate less than 60 mL/min per 1.73 m2 were included in the group with HF and CKD. The clinical outcomes of interest were death from any cause, hospitalization for HF, and hospitalization for any reason. We fitted pooled logistic marginal structural models using inverse probability weighting, stratified according to HF type. Results For individuals with HFrEF with chronic lung disease, beta-blocker therapy was protective against death (relative risk (RR) = 0.58, 95% confidence interval (CI) = 0.44–0.77) and hospitalization for HF (RR = 0.78, 95% CI = 0.60–1.00). For those with HFpEF, no statistically significant associations between beta-blocker therapy use and any of the outcomes were observed. We found ACE-I and ARB use to be protective against all three outcomes of interest in individuals with HFrEF (death from any cause: RR = 0.60, 95% 0.40–0.91; hospitalization for HF: RR = 0.43, 95% CI = 0.28–0.67; hospitalization for any reason: RR = 0.63, 95% CI = 0.45–0.89, respectively) and those with HFpEF (death from any cause: RR = 0.52, 95% CI = 0.33–0.81; hospitalization for HF: RR = 0.35, 95% CI = 0.18–0.68; hospitalization for any reason: RR = 0.67, 95% CI = 0.47–0.95). Conclusion Large observational studies may allow for identification of important subgroups of individuals with HF that might benefit from existing treatment approaches. Our findings may also better inform the design of more-definitive future observational studies and randomized trials.

Background Studies using administrative data commonly rely on diagnosis codes to identify venous thromboembolism (VTE) events. Our objective was to assess the validity of using International Classification of Disease, 9th Revision (ICD-9) codes in identifying recurrent VTE. Materials and methods Among 5497 adults with confirmed incident VTE from four healthcare delivery systems in the Cardiovascular Research Network (CVRN), we identified all subsequent inpatient, emergency department (ED), and ambulatory clinical encounters associated with an ICD-9 code for VTE (combined with relevant radiology procedure codes for inpatient/ED VTE codes in the secondary discharge position or outpatient codes) during the follow-up period. Medical records were reviewed using standardized diagnostic criteria to assess for the presence of new, recurrent VTE. The positive predictive value (PPV) of codes was calculated as the number of valid events divided by total encounters. Results We identified 2397 encounters that were considered potential recurrent VTE by ICD-9 codes. However, only 31.1% (95%CI: 29.3–33.0%) of encounters were verified by reviewers as true recurrent VTE. Hospital or ED encounters with VTE codes in the primary position were more likely to represent valid recurrent VTE (PPV 61.3%, 95%CI: 56.7–66.3%) than codes in secondary positions (PPV 35.4%, 95%CI: 31.9–39.3%), or outpatient codes (PPV 20.3%, 95%CI: 18.3–22.5%). PPV was low for all VTE types (29.9% for pulmonary embolism, 38.3% for lower and 37.7% for upper extremity deep venous thrombosis, and 14.1% for other VTE). Conclusions ICD-9 codes do not accurately identify new VTE events in patients with a prior history of VTE.

The association between statins and diabetes mellitus (DM) remains controversial. The Kaiser Permanente CHAMP Study identified adults without DM who had cardiovascular (CV) risk factors and no previous lipid lowering therapy (LLT) between 2008 and 2010. The CV risk factors included known atherosclerotic CV disease (ASCVD), elevated low-density lipoprotein cholesterol ≥190 mg/dl, or a low-density lipoprotein cholesterol between 70 and 189 mg/dl and an estimated 10-year ASCVD risk ≥7.5%. Incident DM was defined as ≥2 abnormal tests (i.e., A1C ≥6.5% or a fasting blood glucose ≥126 mg/dl) or ≥1 abnormal test result plus a new diagnostic code or medication for DM. Among 213,289 eligible adults, 28,149 patients initiating statins were carefully matched to an equal number of patients who remained off LLT during follow-up. Compared with matched patients not receiving statins, those initiating statin therapy had the same mean age (67.9 ± 9.4 years) and gender (42.8% women). The crude rate (per 100 person-years) of incident DM was low (0.55, 95% confidence interval [CI] 0.52 to 0.59) but was marginally higher in patients who were treated with a statin (0.69, 95% CI 0.64 to 0.74) versus no LLT (0.42, 95% CI 0.38 to 0.46). After additional adjustment, statin therapy was associated with a modestly increased risk of incident DM (adjusted hazard ratio 1.17, 95% CI 1.02 to 1.34). In conclusion, in adults without DM at increased ASCVD risk, initiation of statin therapy was independently associated with a modestly higher risk of incident DM.

The impact of atrial fibrillation (AF) catheter ablation versus chronic antiarrhythmic therapy alone on clinical outcomes such as death and stroke remains unclear. We compared adverse outcomes for AF ablation versus chronic antiarrhythmic therapy in 1,070 adults with AF treated between 2010 and 2014 in the Kaiser Permanente Northern California and Southern California healthcare delivery systems. Patients who underwent AF catheter ablation were matched to patients treated with only antiarrhythmic medications, based on age, gender, history of heart failure, history of coronary heart disease, history of hypertension, history of diabetes, and high-dimensional propensity score. We compared crude and adjusted rates of death, ischemic stroke or transient ischemic attack, intracranial hemorrhage, and hospitalization. The matched cohort of 535 patients treated with AF ablation and 535 treated with antiarrhythmic therapy had a median follow-up of 2.0 (interquartile range 1.1 to 3.5) years. There was no significant difference in adjusted rates of death (adjusted hazard ratio [HR] 0.24, 95% confidence interval [CI] 0.03 to 1.95), intracranial hemorrhage (adjusted HR 0.17, CI 0.02 to 1.71), ischemic stroke or transient ischemic attack (adjusted HR 0.53, CI 0.18 to 1.60), and heart failure hospitalization (adjusted HR 0.85, CI 0.34 to 2.12), although there was a trend toward improvement in these outcomes with ablation. However, there was a significantly increased risk of all-cause hospitalization following ablation (adjusted HR 1.60, CI 1.25 to 2.05). In a contemporary, multicenter, propensity-matched observational cohort, AF ablation was not significantly associated with death, intracranial hemorrhage, ischemic stroke or transient ischemic attack, or heart failure hospitalization, but was associated with a higher rate of all cause-hospitalization.

Aims Limited data exist on the epidemiology, evaluation, and prognosis of otherwise unexplained anaemia of the elderly in heart failure (HF). Thus, we aimed to determine the incidence of anaemia, to characterize diagnostic testing patterns for potentially reversible causes of anaemia, and to evaluate the independent association between incident anaemia and long-term morbidity and mortality. Methods and results Within the Cardiovascular Research Network (CVRN), we identified adults age ≥65 years with diagnosed HF between 2005 and 2012 and no anaemia at entry. Incident anaemia was defined using World Health Organization (WHO) haemoglobin thresholds ( Conclusion Among older adults with HF, incident anaemia is common and independently associated with substantially increased risks of morbidity and mortality. Additional research is necessary to clarify the value of routine evaluation and treatment of potentially reversible causes of anaemia.

Few studies describe both inpatient and outpatient treatment and outcomes of patients with acute venous thromboembolism in the United States.A multi-institutional cohort of patients diagnosed with confirmed pulmonary embolism or deep venous thrombosis during the years 2004 through 2010 was established from 4 large, US-based integrated health care delivery systems. Computerized databases were accessed and medical records reviewed to collect information on patient demographics, clinical risk factors, initial antithrombotic treatment, and vital status. Multivariable Cox regression models were used to estimate the risk of death at 90 days.The cohort comprised 5497 adults with acute venous thromboembolism. Pulmonary embolism was predominantly managed in the hospital setting (95.0%), while 54.5% of patients with lower extremity thrombosis were treated as outpatients. Anticoagulant treatment differed according to thromboembolism type: 2688 patients (92.8%) with pulmonary embolism and 1625 patients (86.9%) with lower extremity thrombosis were discharged on anticoagulants, compared with 286 patients (80.1%) with upper extremity thrombosis and 69 (54.8%) patients with other thrombosis. While 4.5% of patients died during the index episode, 15.4% died within 90 days. Pulmonary embolism was associated with a higher 90-day death risk than lower extremity thrombosis (adjusted hazard ratio 1.23; 95% confidence interval, 1.04-1.47), as was not being discharged on anticoagulants (adjusted hazard ratio 5.56; 95% confidence interval, 4.76-6.67).In this multicenter, community-based study of patients with acute venous thromboembolism, anticoagulant treatment and outcomes varied by thromboembolism type. Although case fatality during the acute episode was relatively low, 15.4% of people with thromboembolism died within 90 days of the index diagnosis.

BackgroundThe accuracy of the 2013 American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Risk Equation for atherosclerotic cardiovascular disease (ASCVD) events in contemporary and ethnically diverse populations is not well understood.ObjectivesThe goal of this study was to evaluate the accuracy of the 2013 ACC/AHA Pooled Cohort Risk Equation within a large, multiethnic population in clinical care.MethodsThe target population for consideration of cholesterol-lowering therapy in a large, integrated health care delivery system population was identified in 2008 and followed up through 2013. The main analyses excluded those with known ASCVD, diabetes mellitus, low-density lipoprotein cholesterol levels