Impact of Covid-19 outbreak on clinical presentation of patients admitted for acute heart failure in India.
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ABSTRACT:
SUBMITTER: Choudhary R
PROVIDER: S-EPMC7563576 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
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Impact of Covid-19 outbreak on clinical presentation of patients admitted for acute heart failure in India.
Choudhary Rahul R Mathur Rohit R Sharma Jai Bharat JB Sanghvi Sanjeev S Deora Surender S Kaushik Atul A
The American journal of emergency medicine 20201016
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Project description:IntroductionSince the beginning of the COVID-19 pandemic in March 2020, an intimate relationship between this disease and cardiovascular diseases has been seen. However, few studies assess the development of heart failure during this infection. This study aims to determine the predisposing factors for the development of heart failure (HF) during hospital admission of COVID-19 patients.MethodologyA retrospective and multicenter study of patients with HF admitted for COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry). A bivariate analysis was performed to relate the different variables evaluated in patients developing heart failure during hospital admission. A multivariate analysis including the most relevant clinical variables obtained in bivariate analyses to predict the outcome of heart failure was performed.ResultsA total of 16.474 patients hospitalized for COVID-19 were included (57.5% men, mean age 67 years), 958 of them (5.8%) developed HF during hospitalization. The risk factors for HF development were: age (odds ratio [OR]): 1.042; confidence interval 95% (CI 95%): 1.035-1.050; p < 0.001), atrial fibrillation (OR: 2.022; CI 95%: 1.697-2.410; p < 0.001), BMI > 30 kg/m2 (OR: 1.460 CI 95%: 1.230-1.733; p < 0001), and peripheral vascular disease (OR: 1.564; CI 95%: 1.217-2.201; p < 0.001). Patients who developed HF had a higher rate of mortality (54.1% vs. 19.1%, p < 0.001), intubation rate (OR: 2,36; p < 0.001), and ICU admissions (OR: 2.38; p < 0001).ConclusionsPatients who presented a higher risk of developing HF were older with cardiovascular risk factors. The risk factors for HF development were age, atrial fibrillation, obesity, and peripheral vascular disease. In addition, patients who developed HF more frequently required to be intubated or admitted to the ICU.
| S-EPMC10380653 | biostudies-literature
Project description:Background Excess mortality from cardiovascular disease during the COVID-19 pandemic has been reported. The mechanism is unclear but may include delay or deferral of care, or differential treatment during hospitalization because of strains on hospital capacity. Methods and Results We used emergency department and inpatient data from a 12-hospital health system to examine changes in volume, patient age and comorbidities, treatment (right- and left-heart catheterization), and outcomes for patients with acute myocardial infarction (AMI) and heart failure (HF) during the COVID-19 pandemic compared with pre-COVID-19 (2018 and 2019), controlling for seasonal variation. We analyzed 27 427 emergency department visits or hospitalizations. Patient volume decreased during COVID-19 for both HF and AMI, but age, race, sex, and medical comorbidities were similar before and during COVID-19 for both groups. Acuity increased for AMI as measured by the proportion of patients with ST-segment elevation. There were no differences in right-heart catheterization for patients with HF or in left heart catheterization for patients with AMI. In-hospital mortality increased for AMI during COVID-19 (odds ratio [OR], 1.46; 95% CI, 1.21-1.76), particularly among the ST-segment-elevation myocardial infarction subgroup (OR, 2.57; 95% CI, 2.24-2.96), but was unchanged for HF (OR, 1.02; 95% CI, 0.89-1.16). Conclusions Cardiovascular volume decreased during COVID-19. Despite similar patient age and comorbidities and in-hospital treatments during COVID-19, mortality increased for patients with AMI but not patients with HF. Given that AMI is a time-sensitive condition, delay or deferral of care rather than changes in hospital care delivery may have led to worse cardiovascular outcomes during COVID-19.
| S-EPMC9075301 | biostudies-literature
Project description:BackgroundThe presence of frailty or delirium among patients hospitalized for acute decompensated heart failure (ADHF) is associated with increased mortality and prolonged hospital stay.ObjectivesThe purpose of this study was to assess the combined effect of frailty and delirium on in-hospital mortality and disposition at discharge among older adults hospitalized with ADHF.MethodsWe conducted a retrospective observational study using Nationwide Inpatient Sample data from the Agency for Healthcare Research and Quality from 2016 to 2018. Patients aged 65 years or older with a diagnosis of ADHF (both with preserved and reduced left ventricular ejection fraction) were included. For analysis, we conducted a multivariable logistic regression analysis to determine OR for in-hospital mortality or nonhome discharge from delirium and frailty.ResultsA total of 3,577,433 weighted number of hospitalizations with ADHF were included. Delirium, moderate frailty risk, and high frailty risk increased the OR for in-hospital mortality (3.74; 95% CI: 3.70-3.78, 4.02; 95% CI: 3.96-4.09, and 8.63; 95% CI: 8.47-8.78, respectively) and nonhome discharge (4.21; 95% CI: 4.18-4.25, 2.95; 95% CI: 2.94-2.97, and 8.86; 95% CI: 8.78-8.94, respectively). When the combination of delirium and frailty was assessed, compared to those without delirium and with low frailty risk, the OR of mortality among those with delirium and high frailty risk was the highest at 12.18 (95% CI: 11.89-12.48). For nonhome discharge, the OR was the highest among those with delirium and high frailty risk at 14.01 (95% CI: 13.77-14.26).ConclusionsFrailty and delirium, independently and in combination, led to higher odds of in-hospital mortality and nonhome disposition at discharge among patients hospitalized with ADHF.
| S-EPMC11437933 | biostudies-literature
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| S-EPMC7835600 | biostudies-literature
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| S-EPMC7283634 | biostudies-literature
Project description:High throughput sequencing is performed on mRNA isolated from whole blood of adult Covid-19 patients, bacterial coinfection with Covid-19 and healthy controls in a South Indian cohort. Samples were collected from individuals at the time of hospitalization or visit to clinic. The Covid-19 samples are categorized by severeity.
2022-02-22 | GSE196822 | GEO
Project description:BackgroundHeart rate (HR) control is important in heart failure (HF) patients with reduced ejection fraction, and ivabradine is indicated for patients with chronic HF and sinus rhythm. However, ivabradine is limited in initiation of ivabradine at acute stage of HF.Materials and methodsThis multi-institutional retrospective study enrolled 30,639 patients who were admitted for HF from January 01, 2013 to December 31, 2018 at Chang Gung Memorial Hospitals. After applying selection criteria, the eligible patients were divided into ivabradine and non-ivabradine groups according to the initiation of ivabradine at the index hospitalization. HR, clinical outcomes including HF hospitalization, all-cause hospitalization, mortality, the composite of cardiovascular (CV) death or HF hospitalization and newly developed atrial fibrillation, and left ventricular ejection fraction (LVEF) and left atrium size were compared between the ivabradine and non-ivabradine groups after inverse probability of treatment weighting (IPTW) analysis after 12 months.ResultsThe HR at admission in the ivabradine group (n = 433) was 99.04 ± 20.69/min, compared to 86.99 ± 20.34/min in the non-ivabradine group (n = 9,601). After IPTW, HR was lower in the ivabradine group than that in the non-ivabradine group after 12 months (74.14 ± 8.53 vs. 81.23 ± 16.79 bpm, p = 0.079). However, there were no significant differences in HF hospitalization (HR = 1.02; 95% CI, 0.38-2.79), all-cause hospitalization (HR = 0.95; 95% CI, 0.54-1.68), mortality (HR = 0.87; 95% CI, 0.69-1.08), the composite of CV death or HF hospitalization (HR = 0.87; 95% CI, 0.69-1.08) and newly developed AF between the two groups. In addition, LVEF increased with time in both groups, but there were no significant differences during the observation period.ConclusionIvabradine was beneficial in controlling HR when initiated in patients with acute stage of HF, but it did not seem to provide any benefits in reducing HF hospitalization, all-cause hospitalization, and mortality in 1 year after discharge.
| S-EPMC9744812 | biostudies-literature
Project description:Background Sarcoidosis with cardiac involvement, although rare, has a worse prognosis than sarcoidosis involving other organ systems. Objective We used a large dataset to train machine learning models to predict in-hospital mortality among sarcoidosis patients admitted with heart failure (HF). Method Utilizing the National Inpatient Sample, we identified 4659 patients hospitalized with a primary diagnosis of HF. In this cohort, we identified patients with a secondary diagnosis of sarcoidosis using International Statistical Classification of Disease, Tenth Revision (ICD-10) codes. Patients were separated into a training group and a testing group in a 7:3 ratio. Least absolute shrinkage and selection operator regression was used to select variables to prevent model overfitting or underfitting. For machine learning models, logistic regression, random forest, and XGBoosting were applied in the training group. Parameters in each of the models were tuned using the GridSearchCV function. After training, all models were further validated in the testing group. Models were then evaluated using the area under curve (AUC) score, sensitivity, and specificity. Results A total of 2.3% of sarcoidosis patients died in HF admission. Our machine learning model analysis found the RF model to have the highest AUC score and sensitivity. Feature analysis found that comorbid arrhythmias and fluid electrolyte disorders were the strongest factors in predicting in-hospital mortality. Conclusion Machine learning methods can be useful in identifying predictors of in-hospital mortality in a given dataset.
| S-EPMC9795270 | biostudies-literature
Project description:PurposeStudies performed in spontaneously breathing patients with mild to moderate respiratory failure suggested that prone position (PP) in COVID-19 could be beneficial.Materials and methodsConsecutive critically ill patients with COVID-19 were enrolled in four ICUs. PP sessions lasted at least 3 h each and were performed twice daily. A Cox proportional hazard model identified factors associated with the need of intubation. A propensity score overlap weighting analysis was performed to assess the association between spontaneous breathing PP (SBPP) and intubation.ResultsAmong 379 patients, 40 underwent SBPP. Oxygenation was achieved by high flow nasal canula in all but three patients. Duration of proning was 2.5 [1.6;3.4] days. SBPP was well tolerated hemodynamically, increased PaO2/FiO2 (78 [68;96] versus 63 [53;77] mm Hg, p = 0.004) and PaCO2 (38 [34;43] versus 35 [32;38] mm Hg, p = 0.005). Neither day-28 survival (HR 0.51, 95% CI 0.16-1.16] nor risk of invasive ventilation [sHR 0.96; 95% CI 0.49;1.88] differed between patients who underwent PP and others.ConclusionsSBPP in COVID-19 is feasible and well tolerated in severely hypoxemic patients. It did not induce any effect on risk of intubation and day-28 mortality.
| S-EPMC8087575 | biostudies-literature