Abstract 16010: Congestive Heart Failure and Coronavirus Disease 2019 Illness Severity

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Max Ruge ◽  
Joanne Michelle D Gomez ◽  
Gatha G Nair ◽  
Setri Fugar ◽  
Jeanne du Fay de Lavallaz ◽  
...  

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has killed hundreds of thousands worldwide. Those with cardiovascular disease represent a vulnerable population with higher risk for contracting COVID-19 and worse prognosis with higher case fatality rates. Congestive heart failure (CHF) may lead to worsening COVID-19 symptoms. However, it is unclear if CHF is an independent risk factor for severe COVID-19 infection or if other accompanying comorbidities are responsible for the increased risk. Methods: From March to June 2020, data was obtained from adult patients diagnosed with COVID-19 infection who were admitted in the Rush University System for Health (RUSH) in Illinois. Heart failure patients, determined by ICD code assignments extracted from the electronic medical records, were identified. Multivariable logistic regression was performed between predictor variables and a composite outcome of severe infection consisting of Intensive Care Unit (ICU) admission, intubation, or in-hospital mortality. Results: In this cohort (n=1136), CHF [odds ratio (OR) 1.02] alone did not predict a more severe illness. Prior myocardial infarction [(MI), OR 3.55], history of atrial fibrillation [(AF), OR 2.14], and male sex (OR 1.55) were all significantly (p<0.001) associated with more severe COVID-19 illness course when controlling for CHF (Figure 1). In the 178 CHF patients, more advanced age (68.8 years vs. 63.8 years; p<0.05) and female sex (54.5% vs. 39.1%; p<0.05) were associated with increased severity of illness. Conclusions: Prior MI, history of AF, and male sex predicted more severe COVID-19 illness course in our cohort, but pre-existing heart failure alone did not. However, CHF patients who are females and older in age are at risk for severe infection. These findings help clinicians identify patients with comorbidities early at risk for severe COVID-19 illness.

Author(s):  
Alan C. Kwan ◽  
Emmanuella Demosthenes ◽  
Trevor Nguyen ◽  
Eric Luong ◽  
Gerran Salto ◽  
...  

ABSTRACTBackgroundIncidence of congestive heart failure is difficult to predict by standard methods. We have developed a method called the signal intensity coefficient that uses echocardiographic texture analysis to quantify microstructural changes which may occur in at-risk patients prior to development of a clinical heart failure syndrome.MethodsParticipants from the Framingham Offspring Cohort study who attended the 8th visit and received screening echocardiography were included. Participants were followed for a mean of 7.4 years for incident congestive heart failure. Cox proportional hazards modeling was used to assess the hazard ratio of signal intensity coefficient in the top quartile of values versus other quartiles in the total and sex-stratified population.Results2511 participants with interpretable echocardiography and no history of congestive heart failure, stroke, or myocardial infarction were included in this study. The top quartile signal intensity coefficient had a hazard ratio of 1.83 (p=0.0048) for incident heart failure. When additional clinical risk factors were added to the model, this became non-significant. Within women, an elevated hazard ratio was significant in multiple models including age and hypertensive medication use. Models were not significant in men.ConclusionsElevated signal intensity coefficient is associated with an increased risk of incident congestive heart failure. This trend remains significant in women after inclusion of age and hypertensive medication use. The signal intensity coefficient may be able to identify patients at risk of developing congestive heart failure using echocardiographic texture analysis.


Author(s):  
Senthil Raj K. ◽  
Adithyan Geetha Suresh ◽  
Selvavinayagam T. S. ◽  
Shruthee Suresh Geetha ◽  
Vinay Kumar K. ◽  
...  

Background:  This study aims to assess the socio-demographic and clinical profile of the patients infected with SARS-CoV-2 in Tamil Nadu, India and to identify the associated prognostic determinants.Methods: Facility-level observational data pertaining to the case investigation of 15045 lab confirmed cases of COVID-19 reported in Tamil Nadu from March to June 2020 was used for the purpose of the study. The demographic and clinical profile of the COVID-19 confirmed cases and age-sex specific estimates of severity of illness were analysed. Determinants of prognosis were tested for statistical significance using Chi square and Student t test as appropriate.Results: The mean age was 40±7 years with a male predilection. Thirty six percent of the cases were symptomatic, with fever being the predominant symptom, followed by cough and breathlessness. The Case ICU rate and Case Fatality rate were found to be 6.2% and 2.9% respectively. Increasing age, male sex and underlying comorbid illness were found to significantly affect prognosis in these patients. However, it was observed that females experienced higher risk of severe illness and fatality in the younger age groups.Conclusions: While the observed findings reiterate the prognostic significance of age, gender and comorbidity as evidenced by other studies, the increased risk of severe illness and fatality among younger females provides a new direction for further research from a socio-epidemiological perspective.


Author(s):  
Judd Sher ◽  
Kate Kirkham-Ali ◽  
Denny Luo ◽  
Catherine Miller ◽  
Dileep Sharma

The present systematic review evaluates the safety of placing dental implants in patients with a history of antiresorptive or antiangiogenic drug therapy. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. PubMed, Cochrane Central Register of Controlled Trials, Scopus, Web of Science, and OpenGrey databases were used to search for clinical studies (English only) to July 16, 2019. Study quality was assessed regarding randomization, allocation sequence concealment, blinding, incomplete outcome data, selective outcome reporting, and other biases using a modified Newcastle-Ottawa scale and the Joanna Briggs Institute critical appraisal checklist for case series. A broad search strategy resulted in the identification of 7542 studies. There were 28 studies reporting on bisphosphonates (5 cohort, 6 case control, and 17 case series) and one study reporting on denosumab (case series) that met the inclusion criteria and were included in the qualitative synthesis. The quality assessment revealed an overall moderate quality of evidence among the studies. Results demonstrated that patients with a history of bisphosphonate treatment for osteoporosis are not at increased risk of implant failure in terms of osseointegration. However, all patients with a history of bisphosphonate treatment, whether taken orally for osteoporosis or intravenously for malignancy, appear to be at risk of ‘implant surgery-triggered’ MRONJ. In contrast, the risk of MRONJ in patients treated with denosumab for osteoporosis was found to be negligible. In conclusion, general and specialist dentists should exercise caution when planning dental implant therapy in patients with a history of bisphosphonate and denosumab drug therapy. Importantly, all patients with a history of bisphosphonates are at risk of MRONJ, necessitating this to be included in the informed consent obtained prior to implant placement. The James Cook University College of Medicine and Dentistry Honours program and the Australian Dental Research Foundation Colin Cormie Grant were the primary sources of funding for this systematic review.


2018 ◽  
Vol 69 (7) ◽  
pp. 1687-1691
Author(s):  
Razan Al Namat ◽  
Mihai Constantin ◽  
Ionela Larisa Miftode ◽  
Andrei Manta ◽  
Antoniu Petris ◽  
...  

Repetitive or recurrent hospitalizations are a general major health issue in patients with chronic disease. Congestive heart failure, is associated with a high incidence and presence of early rehospitalization, but variables in order to identify patients at increased risk and also an analysis of potentially remediable factors contributing to readmission have not been previously reported and it remains still a difficult problem. We retrospectively assessed 100 patients aged between 48-85 years old, of which 75% were men, who had been hospitalized with documentation of congestive heart failure in St. Spiridon County Emergency Hospital. They were hospitalized between 2010-2017. Even if recurrent heart failure was the most common cause for readmission or rehospitalization, other cardiac disorders and noncardiac illnesses were also accounted for readmission. Predictive factors of an increased probability of readmission included prior patient�s medical heart failure history, heart failure decompensation precipitated or accelerated by an ischaemic episode, atrial fibrillation or uncontrolled hypertension. Factors contributing to preventable readmissions included noncompliance with medications or diet, inadequate discharge planning or follow-up, failure of both social support system and the seek of a promp medical attention when symptoms reappeared. We also identified an inappropriate colaboration with family doctors especially for the patients from rural areas. Patients were more likely to cite side effects of prescribed medications rather than nonadherence as a precipitating factor for readmission. Thus, we can appreciate that early rehospitalization in patients with congestive heart failure may be avoidable in up to 50% of cases. Identification of high risk patients is possible and also necessary shortly after admission in order to identify nonpharmacological interventions designed to decrease readmission frequency.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
David G. Marrero ◽  
Robert M. Blew ◽  
Kelly N. B. Palmer ◽  
Kyla James ◽  
Denise J. Roe ◽  
...  

Abstract Background Exposure to gestational diabetes mellitus (GDM) is associated with increased risk for type 2 diabetes (T2DM) in mothers, and poor cardiovascular health among offspring. Identifying effective methods to mitigate T2DM risk has the potential to improve health outcomes for mothers with a history of GDM and their children. The goal of the EPIC El Rio Families Study is to implement and evaluate the effects of a 13-week behavioral lifestyle intervention on T2DM risk factors in at-risk mothers and their 8- to 12-year-old children. We describe herein the rationale for our specific approach, the adaption of the DPP-based curriculum for delivery to patients of a Federally Qualified Health Center (FQHC), and the study design and methodology. Methods The effects of the intervention on reduction in excess body weight (primary outcome), hemoglobin A1c, blood pressure, and changes in lifestyle behaviors associated with weight trajectory and T2DM risk in mother-child dyads will be evaluated during a 13-week, group randomized trial wherein 60 mothers and their children will be recruited to the intervention or wait-listed control conditions at one of two FQHC locations. Intervention participants (n = 30) will begin the group program immediately, whereas the wait-listed controls (n = 30) will receive a booklet describing self-guided strategies for behavior change. Associated program delivery costs, acceptability of the program to participants and FQHC staff, and potential for long-term sustainability will also be evaluated. Discussion Successful completion in our aims will produce a scalable program with high potential for replication and dissemination, and estimated intervention effects to inform T2DM prevention efforts on families who use the FQHC system. The results from this study will be critical in developing a T2DM prevention model that can be implemented and scaled across FQHCs serving populations disproportionately burdened by T2DM. Trial registration ClinicalTrials.gov NCT03781102; Date of registration: 19 December 2018.


2020 ◽  
Vol 24 (10) ◽  
pp. 1140-1143 ◽  
Author(s):  
Catherine Takeda ◽  
D. Angioni ◽  
E. Setphan ◽  
T. Macaron ◽  
P. De Souto Barreto ◽  
...  

AbstractIn their everyday practice, geriatricians are confronted with the fact that older age and multimorbidity are associated to frailty. Indeed, if we take the example of a very old person with no diseases that progressively becomes frail with no other explanation, there is a natural temptation to link frailty to aging. On the other hand, when an old person with a medical history of diabetes, arthritis and congestive heart failure becomes frail there appears an obvious relationship between frailty and comorbidity. The unsolved question is: Considering that frailty is multifactorial and in the majority of cases comorbidity and aging are acting synergistically, can we disentangle the main contributor to the origin of frailty: disease or aging? We believe that it is important to be able to differentiate age-related frailty from frailty related to comorbidity. In fact, with the emergence of geroscience, the physiopathology, diagnosis, prognosis and treatment will probably have to be different in the future.


2021 ◽  
pp. 088506662110614
Author(s):  
Mohinder R. Vindhyal ◽  
Liuqiang (Kelsey) Lu ◽  
Sagar Ranka ◽  
Prakash Acharya ◽  
Zubair Shah ◽  
...  

Purpose: Septic shock (SS) manifests with profound circulatory and cellular metabolism abnormalities and has a high in-hospital mortality (25%-50%). Congestive heart failure (CHF) patients have underlying circulatory dysfunction and compromised cardiac reserve that may place them at increased risk if they develop sepsis. Outcomes in patients with CHF who are admitted with SS have not been well studied. Materials and Method: Retrospective cross sectional secondary analysis of the Nationwide Readmission Database (NRD) for 2016 and 2017. ICD-10 codes were used to identify patients with SS during hospitalization, and then the cohort was dichotomized into those with and without an underlying diagnosis of CHF. Results: Propensity match analyses were performed to evaluate in-hospital mortality and clinical cardiovascular outcomes in the 2 groups. Cardiogenic shock patients were excluded from the study. A total of 578,629 patients with hospitalization for SS were identified, of whom 19.1% had a coexisting diagnosis of CHF. After propensity matching, 81,699 individuals were included in the comparative groups of SS with CHF and SS with no CHF. In-hospital mortality (35.28% vs 32.50%, P < .001), incidence of ischemic stroke (2.71% vs 2.53%, P = .0032), and acute kidney injury (69.9% vs 63.9%, P = .001) were significantly higher in patients with SS and CHF when compared to those with SS and no CHF. Conclusions: This study identified CHF as a strong adverse prognosticator for inpatient mortality and several major adverse clinical outcomes. Study findings suggest the need for further investigation into these findings’ mechanisms to improve outcomes in patients with SS and underlying CHF.


CJEM ◽  
2010 ◽  
Vol 12 (02) ◽  
pp. 128-134 ◽  
Author(s):  
Erik P. Hess ◽  
Jeffrey J. Perry ◽  
Pam Ladouceur ◽  
George A. Wells ◽  
Ian G. Stiell

ABSTRACTObjective:We derived a clinical decision rule to determine which emergency department (ED) patients with chest pain and possible acute coronary syndrome (ACS) require chest radiography.Methods:We prospectively enrolled patients over 24 years of age with a primary complaint of chest pain and possible ACS over a 6-month period. Emergency physicians completed standardized clinical assessments and ordered chest radiographs as appropriate. Two blinded investigators independently classified chest radiographs as “normal,” “abnormal not requiring intervention” and “abnormal requiring intervention,” based on review of the radiology report and the medical record. The primary outcome was abnormality of chest radiographs requiring acute intervention. Analyses included interrater reliability assessment (with κ statistics), univariate analyses and recursive partitioning.Results:We enrolled 529 patients during the study period between Jul. 1, 2007, and Dec. 31, 2007. Patients had a mean age of 59.9 years, 60.3% were male, 4.0% had a history of congestive heart failure and 21.9% had a history of acute myocardial infarction. Only 2.1% (95% confidence interval [CI] 1.1%–3.8%) of patients had radiographic abnormality of the chest requiring acute intervention. The κ statistic for chest radiograph classification was 0.81 (95% CI 0.66–0.95). We derived the following rule: patients can forgo chest radiography if they have no history of congestive heart failure, no history of smoking and no abnormalities on lung auscultation. The rule was 100% sensitive (95% CI 32.0%–10.4%) and 36.1% specific (95% CI 32.0%–40.4%).Conclusion:This rule has potential to reduce health care costs and enhance ED patient flow. It requires validation in an independent patient population before introduction into clinical practice.


2021 ◽  
Author(s):  
Xianghui Zeng ◽  
Haobin Zhou ◽  
Yuting Xue ◽  
Xiao Wang ◽  
Qiong Zhan ◽  
...  

Abstract Background: Triglyceride-glucose (TyG) index and homeostasis model assessment-insulin resistance (HOMA-IR) are related to insulin resistance (IR). The aim of this study was to assess the association between triglyceride-glucose index / HOMA-IR within young adults and congestive heart failure (CHF), and to explore whether triglyceride-glucose index can replace HOMA-IR as a surrogate marker for insulin resistance in predicting the risk of CHF.Methods:A total of 4992 participants between the ages of 18 and 30 were enrolled from the Coronary Artery Risk Development in Young Adults (CARDIA) investigation (from 1985 to 1986 [year 0]). Cox proportional hazard regression analysis was conducted for assessing correlations between baseline TyG index / HOMA-IR and congestive heart failure events, together with Receiver Operating Characteristic (ROC) Curve employed for scrutinizing TyG index / HOMA-IR and he risk of CHF.Results: During the 31-year follow-up period, 64 (1.3%) out of the 4992 participants developed congestive heart failure. In multivariable Cox proportional hazards models, adjusted for confounding factors for CHF, increased risk of CHF was associated with per-unit increase in TyG index (hazard ratio [HR] 2.8; 95% confidence interval [CI], 1.7-4.7) and HOMA-IR (HR 1.2; 95%CI, 1.1-1.3). Kaplan-Meier curve analysis showed that participants in the TyG index and HOMA-IR index Q4 group had a higher risk of congestive heart failure than those in the Q1 group. The area under curve (AUC) for TyG index and HOMA-IR consisted of 0.67 (95% CI, 0.6-0.742) and 0.675 (95%CI, 0.604-0.746), respectively. There were no significant differences between TyG index and HOMA-IR for AUC (P = 0.986).Conclusions: TyG index and HOMA-IR are independent risk factors for CHF. The TyG index can replace HOMA-IR in young adulthood as a surrogate marker for IR to predict the risk of CHF.


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