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Coronavirus disease 2019 (COVID-19) is associated with respiratory symptoms and renal effects. Data regarding fluid resuscitation and kidney injury in COVID-19 are lacking, and understanding this relationship is critical.
To determine if there is an association between fluid volume administered in 24 h and development of renal failure in COVID-19 patients.
Retrospective chart review; 14 hospitals in Indiana. Included patients were adults admitted between March 11, 2020 and April 13, 2020 with a positive test for severe acute respiratory syndrome coronavirus 2 within 3 days of admission. Patients requiring renal replacement therapy prior to admission were excluded. Volumes and types of resuscitative intravenous fluids in the first 24 h were obtained with demographics, medical history, and other objective data. The primary outcome was initiation of renal replacement therapy. Logistic regression modeling was utilized in creating multivariate models for determining factors associated with the primary outcompatients with this disease.Considering the statistical properties of the measurement noise are not deterministic, which is very common in engineering and may bring large errors to system state estimation, a novel constrained two-stage Kalman filter algorithm is proposed. Based on the prior estimate of system states, the covariance update model is established and the constraint algorithm is introduced to accurately estimate the measurement noise covariance. The results are subsequently substituted back into the main-filter to obtain the posterior estimate of system states. Finally, the proposed algorithm is validated by two simulation cases, and the performance is compared with that of Kalman filter and adaptive Kalman filter. The results show that the proposed method is more effective than conventional methods when facing the time-varying measurement noise covariance problem.Iron deficiency has been extensively researched and is associated with adverse outcomes in heart failure. However, to our knowledge, the temporal evolution of iron status has not been previously investigated in patients with acute coronary syndrome (ACS). Therefore, we aimed to explore the temporal pattern of repeatedly measured iron, ferritin, transferrin, and transferrin saturation (TSAT) in relation to prognosis post-ACS. BIOMArCS (BIOMarker study to identify the Acute risk of a Coronary Syndrome) is a prospective, multicenter, observational cohort study conducted in The Netherlands between 2008 and 2015. A total of 844 patients with post-ACS were enrolled and underwent high-frequency (median 17) blood sampling during 1 year follow-up. Biomarkers of iron status were measured batchwise in a central laboratory. We analyzed 3 patient subsets, including the case-cohort (n = 187). The primary endpoint (PE) was a composite of cardiovascular mortality and repeat nonfatal ACS, including unstable angina pectoris requiring revascularization. The association between iron status and the PE was analyzed using multivariable joint models. Mean age was 63 years; 78% were men, and >50% had iron deficiency at first sample in the case-cohort. After adjustment for a broad range of clinical variables, 1 SD decrease in log-iron was associated with a 2.2-fold greater risk of the PE (hazard ratio 2.19, 95% confidence interval 1.34 to 3.54, p = 0.002). Similarly, 1 SD decrease in log-TSAT was associated with a 78% increased risk of the PE (hazard ratio 1.78, 95% confidence interval 1.17 to 2.65, p = 0.006). Ferritin and transferrin were not associated with the PE. Repeated measurements of iron and TSAT predict risk of adverse outcomes in patients with post-ACS during 1 year follow-up. Trial Registration The Netherlands Trial Register. Unique identifiers NTR1698 and NTR1106. Registered at https//www.trialregister.nl/trial/1614 and https//www.trialregister.nl/trial/1073.New-onset left bundle branch block (LBBB) is common after transcatheter aortic valve implantation (TAVI) but can resolve in the post-TAVI period. We sought to examine the incidence, predictors, and outcomes of early resolution of new-onset LBBB among TAVI recipients with a SAPIEN 3 (S3) valve. Among 1,203 S3-TAVI recipients without a pre-existing pacemaker or wide QRS complex at our institution between 2016 and 2019, we identified 143 patients who developed new-onset LBBB during TAVI and divided them according to the resolution or persistence of LBBB by the next day post-TAVI to compare high-degree atrioventricular block (HAVB) and permanent pacemaker (PPM) rates. Patients with resolved LBBB (n = 74, 52%), compared with those with persistent LBBB, were more often women and had a shorter QRS duration at baseline and post-TAVI, with a smaller S3 size and a shallower implantation depth. A multivariable logistic regression model demonstrated significant associations of post-TAVI QRS duration (per 10 ms increase, odds ratio = 0.60 [95% confidence interval = 0.44 to 0.82]) and implantation depth (per 1-mm-depth-increase, 0.77 [0.61 to 0.97]) with a lower likelihood of LBBB resolution. No patient with resolved LBBB developed HAVB within 30 days post-TAVI. Meanwhile, 8 patients (11.6%) with persistent LBBB developed HAVB. The 2-year PPM rate was significantly higher after persistent LBBB than after resolved LBBB (30.3% vs 4.5%, log-rank p less then 0.001), mainly driven by higher 30-day PPM rate (18.8% vs 0.0%). In conclusion, about half of new-onset LBBBs that occurred during S3-TAVI resolved by the next day post-TAVI without HAVB. In contrast, new-onset persistent LBBB may need follow-up with ambulatory monitoring within 30 days because of the HAVB risk.Cigarette smoking is associated with adverse cardiac outcomes, including incident heart failure (HF). However, key components of potential pathways from smoking to HF have not been evaluated in older adults. In a community-based study, we studied cross-sectional associations of smoking with blood and imaging biomarkers reflecting mechanisms of cardiac disease. Serial nested, multivariable Cox models were used to determine associations of smoking with HF, and to assess the influence of biochemical and functional (cardiac strain) phenotypes on these associations. Compared with never smokers, smokers had higher levels of inflammation (C-reactive protein and interleukin-6), cardiomyocyte injury (cardiac troponin T [hscTnT]), myocardial "stress"/fibrosis (soluble suppression of tumorigenicity 2 [sST2], galectin 3), and worse left ventricle systolic and diastolic function. In models adjusting for age, gender, and race (DEMO) and for clinical factors potentially in the causal pathway (CLIN), smoking exposures were associated with C-reactive protein and interleukin-6, sST2, hscTnT, and with N-terminal pro-brain natriuretic protein (in Whites). In DEMO adjusted models, the cumulative burden of smoking was associated with worse left ventricle systolic strain. see more Current smoking and former smoking were associated with HF in DEMO models (hazard ratio 1.41, 95% confidence interval 1.22 to 1.64 and hazard ratio 1.14, 95% confidence interval 1.03 to 1.25, respectively), and with current smoking after CLIN adjustment. Adjustment for time-varying myocardial infarction, inflammation, cardiac strain, hscTnT, sST2, and galectin 3 did not materially alter the associations. Smoking was associated with HF with preserved and decreased ejection fraction. In conclusion, in older adults, smoking is associated with multiple blood and imaging biomarker measures of pathophysiology previously linked to HF, and to incident HF even after adjustment for clinical intermediates.Cardiac arrest (CA) is common and has been associated with adverse outcomes in patients with cardiogenic shock (CS). We sought to determine the prevalence, patient characteristics, and outcomes of CA in cardiovascular intensive care unit patients with CS. We queried cardiovascular intensive care unit admissions from 2007 to 2018 with an admission diagnosis of CS and compared patients with and without CA. Temporal trends were assessed using linear regression. The primary and secondary outcomes of in-hospital and 1-year mortality were analyzed using logistic regression and Cox proportional-hazards analysis, respectively. We included 1,498 patients, and CA was present in 510 patients (34%), with 258 (50.6% of patients with CA) having ventricular fibrillation (VF). Mean age was 68 ± 14 years, and 37% were females. The prevalence of CA decreased over time (from 43% in 2007 to 24% in 2018, p less then 0.001). Hospital mortality was 33.3% and decreased over time in patients without CA (from 30% in 2007 to 22% in 2018, p = 0.05), but not in patients with CA (p = 0.71). CA was associated with a higher risk of hospital mortality (51.0% vs 24.2%, adjusted odds ratio 2.15, 95% confidence interval [CI] 1.52 to 3.05, p less then 0.001), with no difference between VF CA and non-VF CA (p = 0.64). CA was associated with higher 1-year mortality (adjusted hazard ratio 1.53, 95% CI 1.24 to 1.89, p less then 0.001). In conclusion, CA is present in 1 of 3 of CS hospitalizations and confers a substantially higher risk of hospital and 1-year mortality with no improvement during our 12-year study period contrary to prevailing trends.Fewer ST-elevation myocardial infarctions (STEMIs) presentations and increased delays in care occurred during the COVID-19 pandemic in urban areas. Whether these associations occurred in a more rural population has not been previously reported. Our objective was to evaluate the impact of COVID-19 on time-to-presentation for STEMI in rural locations. Patients presenting to a large STEMI network spanning 27 facilities and 13 predominantly rural counties between January 1, 2016 and April 30, 2020 were included. Presentation delays, defined as time from symptom onset to arrival at the first medical facility, classified as ≥12 and ≥24 hours from symptom onset were compared among patients in the pre-COVID-19 and the early COVID-19 eras. To account for patient-level differences, 21 propensity score matching was performed using binary logistic regression. Among 1,286 patients with STEMI, 1,245 patients presented in the pre-COVID-19 era and 41 presented during the early COVID-19 era. Presentation delays ≥12 hours (19.5% vs 4.0%) and ≥24 hours (14.6% and 0.2%) were more common in COVID-19 than pre-COVID-19 cohorts (p less then 0.001 for both), despite a low COVID-19 prevalence. Similar results were seen in propensity-matched comparisons (≥12 hours 19.5% vs 2.4%, p = 0.002; ≥24 hours 14.6% vs 0.0%, p = 0.001). In a predominantly rural STEMI population, delays in seeking medical care after symptom onset were markedly more frequent during the COVID-19 era, despite low COVID-19 prevalence. Considering delays in reperfusion have multiple adverse downstream consequences, these findings may have important implications in rural communities during future pandemic resurgences.Increased ventricular premature complexes (VPCs) are associated with a higher risk of cardiac morbidities. However, little information is available on the risk factors of Western general populations. Therefore, we aimed to assess the frequency and associated factors of VPCs in healthy general Japanese men. We conducted a population-based cross-sectional study in 517 men, aged 40 to 79 years, using 24-hour Holter electrocardiography. Age, body mass index, height, low-density lipoprotein cholesterol, triglycerides, high-density lipoprotein cholesterol, resting heart rate, diabetes mellitus, hypertension, physical activity, smoking, alcohol consumption, lipid-lowering therapy were included in multivariable negative binomial regression to assess independent correlates for the number of VPCs per hour. We observed at least 1 VPC in 1 hour in 429 men (83%). In multivariable negative binomial regression adjusted for all covariates simultaneously, age (risk ratio [95% confidence interval] 1.91 [1.56 to 2.33] per 1-SD increment), height (1.
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