scholarly journals A Simple Nomogram to Predict Contrast-Induced Acute Kidney Injury in Patients with Congestive Heart Failure Undergoing Coronary Angiography

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Li Lei ◽  
Yibo He ◽  
Zhaodong Guo ◽  
Bowen Liu ◽  
Jin Liu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Coronary Angiography ◽  
Prediction Models ◽  
Validation Cohort ◽  
Kidney Injury ◽  
Heart Association ◽  
Class Ii ◽  
Functional Class ◽  
Killip Class

Background. Patients with congestive heart failure (CHF) are vulnerable to contrast-induced kidney injury (CI-AKI), but few prediction models are currently available. Therefore, we aimed to establish a simple nomogram for CI-AKI risk assessment for patients with CHF undergoing coronary angiography. Methods. A total of 1876 consecutive patients with CHF (defined as New York Heart Association functional class II-IV or Killip class II-IV) were enrolled and randomly (2:1) assigned to a development cohort and a validation cohort. The endpoint was CI-AKI defined as serum creatinine elevation of ≥0.3 mg/dL or 50% from baseline within the first 48–72 hours following the procedure. Predictors for the simple nomogram were selected by multivariable logistic regression with a stepwise approach. The discriminative power was assessed using the area under the receiver operating characteristic (ROC) curve and was compared with the classic Mehran score in the validation cohort. Calibration was assessed using the Hosmer–Lemeshow test and 1000 bootstrap samples. Results. The incidence of CI-AKI was 9.06% (170) in the total sample, 8.64% (n = 109) in the development cohort, and 9.92% (n = 61) in the validation cohort ( P = 0.367 ). The simple nomogram including four predictors (age, intra-aortic balloon pump, acute myocardial infarction, and chronic kidney disease) demonstrated a similar predictive power as the Mehran score (area under the curve: 0.80 vs. 0.75, P = 0.061 ), as well as a well-fitted calibration curve. Conclusions. The present simple nomogram including four predictors is a simple and reliable tool to identify CHF patients at risk of CI-AKI, whereas further external validations are needed.

scholarly journals A simple nomogram to predict contrast-induced acute kidney injury in patients with congestive heart failure undergoing coronary angiography

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Lei ◽  
Y He ◽  
Z Guo ◽  
B Liu ◽  
J Liu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Congestive Heart Failure ◽  
Acute Kidney Injury ◽  
Coronary Angiography ◽  
Prediction Models ◽  
Validation Cohort ◽  
Kidney Injury ◽  
Class Ii ◽  
Functional Class ◽  
Killip Class

Abstract Background Patients with congestive heart failure (CHF) are vulnerable to contrast-induced acute kidney injury (CI-AKI), but few prediction models are currently available. Objectives We aimed to establish a simple nomogram for CI-AKI risk assessment for patients with CHF undergoing coronary angiography. Methods A total of 1876 consecutive patients with CHF (defined as New York Heart Association functional class II-IV or Killip class II-IV) were enrolled and randomly (2:1) assigned to a development cohort and a validation cohort. The endpoint was CI-AKI defined as serum creatinine elevation of ≥0.3 mg/dL or 50% from baseline within the first 48–72 hours following the procedure. Predictors for the nomogram were selected by multivariable logistic regression with a stepwise approach. The discriminative power was assessed using the area under the receiver operating characteristic (ROC) curve and was compared with the classic Mehran score in the validation cohort. Calibration was assessed using the Hosmer–Lemeshow test and 1000 bootstrap samples. Results The incidence of CI-AKI was 9.06% (n=170) in the total sample, 8.64% (n=109) in the development cohort and 9.92% (n=61) in the validation cohort (p=0.367). The simple nomogram including four predictors (age, intra-aortic balloon pump, acute myocardial infarction and chronic kidney disease) demonstrated a similar predictive power as the Mehran score (area under the curve: 0.80 vs 0.75, p=0.061), as well as a well-fitted calibration curve. Conclusions The present simple nomogram including four predictors is a simple and reliable tool to identify CHF patients at risk of CI-AKI, whereas further external validations are needed. Figure 1 Funding Acknowledgement Type of funding source: None

Factors associated with health-related quality of life in stable ambulatory congestive heart failure patients: Systematic review

2018 ◽  
Vol 25 (5) ◽  
pp. 472-481 ◽  
Author(s):  
Anneleen Baert ◽  
Delphine De Smedt ◽  
Johan De Sutter ◽  
Dirk De Bacquer ◽  
Paolo Emilio Puddu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
New York ◽  
Congestive Heart Failure ◽  
Heart Association ◽  
Functional Class ◽  
Factors Associated ◽  
Related Quality ◽  
New York Heart Association

Background Since improved treatment of congestive heart failure has resulted in decreased mortality and hospitalisation rates, increasing self-perceived health-related quality of life (HRQoL) has become a major goal of congestive heart failure treatment. However, an overview on predictieve factors of HRQoL is currently lacking in literature. Purpose The aim of this study was to identify key factors associated with HRQoL in stable ambulatory patients with congestive heart failure. Methods A systematic review was performed. MEDLINE, Web of Science and Embase were searched for the following combination of terms: heart failure, quality of life, health perception or functional status between the period 2000 and February 2017. Literature screening was done by two independent reviewers. Results Thirty-five studies out of 8374 titles were included for quality appraisal, of which 29 were selected for further data extraction. Four distinct categories grouping different types of variables were identified: socio-demographic characteristics, clinical characteristics, health and health behaviour, and care provider characteristics. Within the above-mentioned categories the presence of depressive symptoms was most consistently related to a worse HRQoL, followed by a higher New York Heart Association functional class, younger age and female gender. Conclusion Through a systematic literature search, factors associated with HRQoL among congestive heart failure patients were investigated. Age, gender, New York Heart Association functional class and depressive symptoms are the most consistent variables explaining the variance in HRQoL in patients with congestive heart failure. These findings are partly in line with previous research on predictors for hard endpoints in patients with congestive heart failure.

Revisiting heart failure assessment based on objective measures in NYHA functional classes I and II

Heart ◽  
2020 ◽  
pp. heartjnl-2020-317984
Author(s):  
Mariana Blacher ◽  
André Zimerman ◽  
Pedro H B Engster ◽  
Eduardo Grespan ◽  
Carisi A Polanczyk ◽  
...  
Keyword(s):  
Heart Failure ◽  
Nyha Class ◽  
Heart Association ◽  
Functional Class ◽  
Class I ◽  
Objective Measures ◽  
Functional Evaluation ◽  
Self Perception ◽  
Reduced Ejection Fraction ◽  
Nyha Classification

ObjectiveNew York Heart Association (NYHA) functional class plays a central role in heart failure (HF) assessment but might be unreliable in mild presentations. We compared objective measures of HF functional evaluation between patients classified as NYHA I and II in the Rede Brasileira de Estudos em Insuficiência Cardíaca (ReBIC)-1 Trial.MethodsThe ReBIC-1 Trial included outpatients with stable HF with reduced ejection fraction. All patients had simultaneous protocol-defined assessment of NYHA class, 6 min walk test (6MWT), N-terminal pro-brain natriuretic peptide (NT-proBNP) levels and patient’s self-perception of dyspnoea using a Visual Analogue Scale (VAS, range 0–100).ResultsOf 188 included patients with HF, 122 (65%) were classified as NYHA I and 66 (35%) as NYHA II at baseline. Although NYHA class I patients had lower dyspnoea VAS Scores (median 16 (IQR, 4–30) for class I vs 27.5 (11–49) for class II, p=0.001), overlap between classes was substantial (density overlap=60%). A similar profile was observed for NT-proBNP levels (620 pg/mL (248–1333) vs 778 (421–1737), p=0.015; overlap=78%) and for 6MWT distance (400 m (330–466) vs 351 m (286–408), p=0.028; overlap=64%). Among NYHA class I patients, 19%–34% had one marker of HF severity (VAS Score >30 points, 6MWT <300 m or NT-proBNP levels >1000 pg/mL) and 6%–10% had two of them. Temporal change in functional class was not accompanied by variation on dyspnoea VAS (p=0.14).ConclusionsMost patients classified as NYHA classes I and II had similar self-perception of their limitation, objective physical capabilities and levels of natriuretic peptides. These results suggest the NYHA classification poorly discriminates patients with mild HF.

scholarly journals Remote monitoring of chronic heart failure patients: invasive versus non-invasive tools for optimising patient management

2019 ◽  
Vol 28 (1) ◽  
pp. 3-13 ◽  
Author(s):  
J. F. Veenis ◽  
J. J. Brugts
Keyword(s):  
Heart Failure ◽  
New York ◽  
Chronic Heart Failure ◽  
Remote Monitoring ◽  
Heart Association ◽  
The United States ◽  
Pharmacological Therapy ◽  
Functional Class ◽  
Class Iii ◽  
Additional Tool

AbstractExacerbations of chronic heart failure (HF) with the necessity for hospitalisation impact hospital resources significantly. Despite all of the achievements in medical management and non-pharmacological therapy that improve the outcome in HF, new strategies are needed to prevent HF-related hospitalisations by keeping stable HF patients out of the hospital and focusing resources on unstable HF patients. Remote monitoring of these patients could provide the physicians with an additional tool to intervene adequately and promptly. Results of telemonitoring to date are inconsistent, especially those of telemonitoring with traditional non-haemodynamic parameters. Recently, the CardioMEMS device (Abbott Inc., Atlanta, GA, USA), an implantable haemodynamic remote monitoring sensor, has shown promising results in preventing HF-related hospitalisations in chronic HF patients hospitalised in the previous year and in New York Heart Association functional class III in the United States. This review provides an overview of the available evidence on remote monitoring in chronic HF patients and future perspectives for the efficacy and cost-effectiveness of these strategies.

Abstract 14203: Secondary Sarcopenia Assessed by Computed Tomography Can Predict Hospitalization for Heart Failure in Adults With Fontan Circulation

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Yumi Shiina ◽  
Michinobu Nagao ◽  
Kei Inai
Keyword(s):  
Heart Failure ◽  
Computed Tomography ◽  
Skeletal Muscle ◽  
Negative Impact ◽  
Heart Association ◽  
Functional Class ◽  
Fontan Circulation ◽  
Protein Losing Enteropathy ◽  
Psoas Major Muscle ◽  
Fontan Patients

Introduction: Sarcopenia is one of the important predictors of heart failure (HF) in patients with cardiac problems. Hypothesis: Skeletal muscle pump is very important to maintain Fontan circulation. We aimed to quantify the volume of the psoas major muscle (PMM) and investigate whether it is relevant to HF hospitalization in adults with Fontan circulation. Methods: A total of 154 adults with Fontan circulation, and 30 age-matched adults were studied retrospectively. We identified secondary sarcopenia by measuring the PMM volume, using non-contrast abdominal computed tomography (CT). Results: PMM indexed volume in Fontan patients was lower than controls (206.4+/-18.0 cc/m2 vs 288.0+/-61.1 cc/m2, P<0.0001). In Fontan men, PMM indexed volume correlated with New York Heart Association functional class (NYHA FC). PMM indexed volume in Fontan women correlated with age, NYHA FC, and serum creatinine. Using a multivariate Cox hazards analysis, NYHA FC ≧3 was an important prediction of hospitalization due to HF in Fontan men. In Fontan women, NYHA FC ≧3, brain natriuretic peptide (BNP), PMM indexed volume, and protein losing enteropathy (PLE) were important predictions of hospitalization due to HF. Among all Fontan patients, those with low PMM volumes had a poorer prognosis in HF (Log rank P=0.012 [men] and 0.0009 [women]). Conclusions: PMM volume reduction has an adjunctive prediction of HF hospitalization in adults with Fontan circulation, particularly in Fontan females. Secondary sarcopenia may have a negative impact on the prognosis of HF in this population. The assessment of skeletal muscle mass also may be a comprehensive screening tool for multi-organ dysfunction in Fontan circulation.

Impact of Underlying Congestive Heart Failure on In-Hospital Outcomes in Patients with Septic Shock

2021 ◽  
pp. 088506662110614
Author(s):  
Mohinder R. Vindhyal ◽  
Liuqiang (Kelsey) Lu ◽  
Sagar Ranka ◽  
Prakash Acharya ◽  
Zubair Shah ◽  
...  
Keyword(s):  
Heart Failure ◽  
Septic Shock ◽  
Congestive Heart Failure ◽  
Hospital Mortality ◽  
Secondary Analysis ◽  
Kidney Injury ◽  
Cross Sectional ◽  
Increased Risk ◽  
Icd 10 ◽  
Nationwide Readmission Database

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.

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