1
|
The Prognostic Impact of Estimated Creatinine Clearance by Bioelectrical Impedance Analysis in Heart Failure: Comparison of Different eGFR Formulas. Biomedicines 2021; 9:biomedicines9101307. [PMID: 34680423 PMCID: PMC8533548 DOI: 10.3390/biomedicines9101307] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 09/15/2021] [Accepted: 09/20/2021] [Indexed: 01/11/2023] Open
Abstract
The estimation of glomerular filtration rate (eGFR) provides prognostic information in patients with heart failure (HF). Bioelectrical impedance analysis may calculate eGFR (Donadio formula). The aim of this study was to evaluate the impact of the Donadio formula in predicting all-cause mortality in patients with HF as compared to Cockroft-Gault, MDRD-4 (Modification of Diet in renal Disease Study), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas. Four-hundred thirty-six subjects with HF (52% men; mean age 75 ± 11 years; 42% acute HF) were enrolled. Ninety-two patients (21%) died during the follow-up (median 463 days, IQR 287-669). The area under the receiver operator characteristic curve for eGFR, as estimated by Cockroft-Gault formula (AUC = 0.75), was significantly higher than those derived from Donadio (AUC = 0.72), MDRD-4 (AUC = 0.68), and CKD-EPI (AUC = 0.71) formulas. At multivariate analysis, all eGFR formulas were independent predictors of death; 1 mL/min/1.73 m2 increase in eGFR-as measured by Cockroft-Gault, Donadio, MDRD-4, and CKD-EPI formulas-provided a 2.6%, 1.5%, 1.2%, and 1.6% increase, respectively, in mortality rate. Conclusions. eGFR, as calculated with the Donadio formula, was an independent predictor of mortality in patients with HF as well as the measurements derived from MDRD4 and CKD-EPI formulas, but less accurate than Cockroft-Gault.
Collapse
|
2
|
Albert C, Haase M, Albert A, Zapf A, Braun-Dullaeus RC, Haase-Fielitz A. Biomarker-Guided Risk Assessment for Acute Kidney Injury: Time for Clinical Implementation? Ann Lab Med 2021; 41:1-15. [PMID: 32829575 PMCID: PMC7443517 DOI: 10.3343/alm.2021.41.1.1] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 05/23/2020] [Accepted: 08/02/2020] [Indexed: 01/01/2023] Open
Abstract
Acute kidney injury (AKI) is a common and serious complication in hospitalized patients, which continues to pose a clinical challenge for treating physicians. The most recent Kidney Disease Improving Global Outcomes practice guidelines for AKI have restated the importance of earliest possible detection of AKI and adjusting treatment accordingly. Since the emergence of initial studies examining the use of neutrophil gelatinase-associated lipocalin (NGAL) and cycle arrest biomarkers, tissue inhibitor metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein (IGFBP7), for early diagnosis of AKI, a vast number of studies have investigated the accuracy and additional clinical benefits of these biomarkers. As proposed by the Acute Dialysis Quality Initiative, new AKI diagnostic criteria should equally utilize glomerular function and tubular injury markers for AKI diagnosis. In addition to refining our capabilities in kidney risk prediction with kidney injury biomarkers, structural disorder phenotypes referred to as "preclinical-" and "subclinical AKI" have been described and are increasingly recognized. Additionally, positive biomarker test findings were found to provide prognostic information regardless of an acute decline in renal function (positive serum creatinine criteria). We summarize and discuss the recent findings focusing on two of the most promising and clinically available kidney injury biomarkers, NGAL and cell cycle arrest markers, in the context of AKI phenotypes. Finally, we draw conclusions regarding the clinical implications for kidney risk prediction.
Collapse
Affiliation(s)
- Christian Albert
- Medical Faculty, University Clinic for Cardiology and Angiology, Otto-von-Guericke-University Magdeburg, Magdeburg,
Germany
- Diaverum Renal Services, MVZ Potsdam, Potsdam,
Germany
| | - Michael Haase
- Diaverum Renal Services, MVZ Potsdam, Potsdam,
Germany
- Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg,
Germany
| | - Annemarie Albert
- Diaverum Renal Services, MVZ Potsdam, Potsdam,
Germany
- Department of Nephrology and Endocrinology, Klinikum Ernst von Bergmann, Potsdam,
Germany
| | - Antonia Zapf
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf,
Germany
| | | | - Anja Haase-Fielitz
- Department of Cardiology, Immanuel Diakonie Bernau, Heart Center Brandenburg, Brandenburg Medical School Theodor Fontane (MHB),
Germany
- Institute of Social Medicine and Health Systems Research, Otto-von-Guericke University Magdeburg, Magdeburg,
Germany
- Faculty of Health Sciences Brandenburg, Potsdam,
Germany
| |
Collapse
|
3
|
Wang K, Ni G, Wu Q, Zhou Y, Yao W, Zhang H, Li X. Prognostic Value of N-Terminal Pro-B-Type Natriuretic Peptide and Glomerular Filtration Rate in Patients With Acute Heart Failure. Front Cardiovasc Med 2020; 7:123. [PMID: 32793638 PMCID: PMC7385066 DOI: 10.3389/fcvm.2020.00123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 06/15/2020] [Indexed: 01/01/2023] Open
Abstract
Aims: To investigate the relationship between N-terminal pro-B-type natriuretic peptide (NT-proBNP), Glomerular Filtration Rate (GFR), and outcomes in patients hospitalized with acute heart failure (AHF). Methods: The trial was registered at http://www.chictr.org/cn/. (ChiCTR - ONC - 12001944). A total of 493 patients hospitalized for AHF in cardiology department of the First Affiliated Hospital of Nanjing Medical University from March 2012 to October 2016 were enrolled into registry. The end event was the occurrence of all-cause death within an 18-month follow-up. The data collected from the participants in admission were used to calculate the GFR by chronic kidney disease epidemiology collaboration equation (CKD-EPI) and performed the according statistical analysis. Results: There were 74 participants (13.8%) dropped out and 91 (21.7%) passed away within the 18-month follow up. Comparison of clinical indicators between survival and death group were analyzed for the long-term prognosis of patients with AHF. In the single factor analysis, both NT-proBNP and GFR were statistically significant (P < 0.001). Combined NT-proBNP and GFR in multi-factor COX regression analysis showed significant predictive value (P < 0.001). In receiver operator characteristics (ROC) analyses, the area under the curves (AUC) for NT-proBNP was 0.648 [95%CI: 0.598-0.695, P < 0.001] and for GFR was 0.677 [95%CI: 0.627-0.723, P < 0.001]. According to the Youden index, the best prediction point of NT-proBNP was 2,137 pg/ml and GFR was 61.7 ml/(min·1.73 m2). After using the Binary Logistic Regression to combine the two indicators, the AUC was 0.711, which was significantly compared to the AUC of either single factor. The sensitivity of the combined indicators were 0.535, the specificity were 0.853. According to the cut-off point, these two indexes were separated into four groups for further analysis by Kaplan-Meier survival curve comparison (log-rank test), which showed that patients in the group with higher NT-proBNP and lower GFR had the worst prognosis. Conclusions: In patients with NT-proBNP > 2,137 pg/ml and GFR < 61.7 ml/(min·1.73 m2), the risk of death was significantly higher. The combination of GFR and NT-proBNP improved the predictive value for the long-term prognosis of AHF patients.
Collapse
Affiliation(s)
| | | | | | | | | | - Haifeng Zhang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinli Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
4
|
Manguba AS, Vela Parada X, Coca SG, Lala A. Synthesizing Markers of Kidney Injury in Acute Decompensated Heart Failure: Should We Even Keep Looking? Curr Heart Fail Rep 2019; 16:257-273. [DOI: 10.1007/s11897-019-00448-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
|
5
|
Abstract
Heart failure (HF) is a complex syndrome with an enormous societal burden in terms of cost, morbidity, and mortality. Natriuretic peptide testing is now widely used to support diagnosis, prognostication, and management of patients with HF and are incorporated into HF clinical practice guidelines. Beyond the natriuretic peptides, novel biomarkers may supplement traditional clinical and laboratory testing to improve understanding of the complex disease process of HF and possibly to personalize care for those affected through better individual phenotyping. In this review, we will discuss natriuretic peptides and the more novel biomarkers by dividing them into categories based on the major pathophysiologic pathways they represent. Given the complex physiology in HF, it is reasonable to expect that the future of biomarker testing lies in the application of multimarker testing panels, precision medicine to improve HF care delivery, and the use of biomarkers in proteomics and metabolomics to further improve HF care.
Collapse
Affiliation(s)
- Nasrien E Ibrahim
- From the Cardiology Division, Massachusetts General Hospital, Boston (N.E.I., J.L.J.).,Harvard Medical School, Boston, MA (N.E.I., J.L.J.)
| | - James L Januzzi
- From the Cardiology Division, Massachusetts General Hospital, Boston (N.E.I., J.L.J.).,Harvard Medical School, Boston, MA (N.E.I., J.L.J.).,Baim Institute for Clinical Research, Boston, MA (J.L.J.)
| |
Collapse
|
6
|
Abstract
Heart failure (HF) is the end result of many different cardiac and non-cardiac abnormalities leading to a complex clinical entity. In this view, the use of biomarkers in HF should be deeply reconsidered; indeed, the same biomarker may carry a different significance in patients with preserved or reduced EF. The aim of this review is to reconsider the role of biomarkers in HF, based on the different clinical characteristics of this syndrome. The role of cardiac and non-cardiac biomarkers will be reviewed with respect of the different clinical manifestations of this syndrome.
Collapse
|
7
|
Affiliation(s)
- Germán Cediel
- Department of Medicine, Heart Institute, Hospital Universitari Germans Trias i Pujol, CIBERCV, Autonomous University of Barcelona, Carretera de Canyet s/n, Barcelona, Spain
| | - Evelyn Santiago-Vacas
- Department of Medicine, Heart Institute, Hospital Universitari Germans Trias i Pujol, CIBERCV, Autonomous University of Barcelona, Carretera de Canyet s/n, Barcelona, Spain
| | - Antoni Bayes-Genis
- Department of Medicine, Heart Institute, Hospital Universitari Germans Trias i Pujol, CIBERCV, Autonomous University of Barcelona, Carretera de Canyet s/n, Barcelona, Spain
| |
Collapse
|
8
|
Abstract
Although much remains unknown regarding the pathophysiology of acute heart failure (AHF), precipitating events are thought to involve a complex set of interactions between the heart, kidneys, and peripheral vasculature. In addition to these interactions, which are considered the primary abnormalities in patients with AHF, several other organ systems may also be affected and contribute to disease progression. Currently available scientific literature suggests that the natural history and pathophysiology of AHF consists of two phases: (1) an "initiation phase" involving a series of triggering events, and (2) an "amplification phase," in which multiple mechanisms contribute to worsening HF and exacerbate end-organ damage. Biomarkers of cardiac, renal, pulmonary, and other organ function have been identified during episodes of AHF, including brain natriuretic peptide, troponin I, and troponin T; biomarkers associated with AHF have proven to be useful tools for studying the pathophysiology of the syndrome, predicting clinical outcomes, and identifying patient management strategies. Despite considerable advances in recent years, AHF continues to be a leading cause of hospitalization and death in patients with chronic HF. Moreover, AHF remains a major healthcare issue exacting a considerable cost burden. Addressing this ongoing unmet need requires prioritizing efforts to better understand the natural history and pathophysiology of AHF; only then can targeted therapies be developed to prevent rehospitalization in patients with AHF, or at least alter the trajectory of disease progression toward improved clinical outcomes.
Collapse
Affiliation(s)
- Hani N Sabbah
- Department of Medicine, Division of Cardiovascular Medicine, Henry Ford Health System, Henry Ford Hospital, 2799 West Grand Boulevard, Detroit, MI, 48202, USA.
| |
Collapse
|
9
|
Llauger L, Jacob J, Miró Ò. Renal function and acute heart failure outcome. Med Clin (Barc) 2018; 151:281-290. [PMID: 29884452 DOI: 10.1016/j.medcli.2018.05.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 04/28/2018] [Accepted: 05/01/2018] [Indexed: 12/18/2022]
Abstract
The interaction between acute heart failure (AHF) and renal dysfunction is complex. Several studies have evaluated the prognostic value of this syndrome. The aim of this systematic review, which includes non-selected samples, was to investigate the impact of different renal function variables on the AHF prognosis. The categories included in the studies reviewed included: creatinine, blood urea nitrogen (BUN), the BUN/creatinine quotient, chronic kidney disease, the formula to estimate the glomerular filtration rate, criteria of acute renal injury and new biomarkers of renal damage such as neutrophil gelatinase-associated lipocalin (NGAL and cystatin c). The basal alterations of the renal function, as well as the acute alterations, transient or not, are related to a worse prognosis in AHF, it is therefore necessary to always have baseline, acute and evolutive renal function parameters.
Collapse
Affiliation(s)
- Lluís Llauger
- Servicio de Urgencias, Hospital Universitari de Vic, Vic (Barcelona), España.
| | - Javier Jacob
- Servicio de Urgencias, Hospital Clínic de Barcelona, Barcelona, España
| | - Òscar Miró
- Servicio de Urgencias, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat (Barcelona), España
| |
Collapse
|
10
|
|
11
|
Renal function assessment in heart failure. Rev Clin Esp 2017; 217:267-288. [PMID: 28258719 DOI: 10.1016/j.rce.2017.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 12/17/2016] [Accepted: 01/14/2017] [Indexed: 11/23/2022]
Abstract
Renal function is one of the most consistent prognostic determinants in heart failure. The prognostic information it provides is independent of the ejection fraction and functional status. This article reviews the various renal function assessment measures, with special emphasis on the fact that the patient's clinical situation and response to the heart failure treatment should be considered for the correct interpretation of the results. Finally, we review the literature on the performance of tubular damage biomarkers.
Collapse
|
12
|
Ibrahim NE, Gaggin HK, Rabideau DJ, Gandhi PU, Mallick A, Januzzi JL. Worsening Renal Function during Management for Chronic Heart Failure with Reduced Ejection Fraction: Results From the Pro-BNP Outpatient Tailored Chronic Heart Failure Therapy (PROTECT) Study. J Card Fail 2017; 23:121-130. [DOI: 10.1016/j.cardfail.2016.07.440] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 07/11/2016] [Accepted: 07/22/2016] [Indexed: 11/26/2022]
|
13
|
Ibrahim NE, Januzzi JL. Beyond Natriuretic Peptides for Diagnosis and Management of Heart Failure. Clin Chem 2017; 63:211-222. [DOI: 10.1373/clinchem.2016.259564] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 07/18/2016] [Indexed: 12/20/2022]
Abstract
Abstract
BACKGROUND
Heart failure (HF) is a complex syndrome with an enormous societal burden in terms of cost and morbidity and mortality. Natriuretic peptide (NP) testing is now widely used to support diagnosis, prognostication, and management of patients with HF, but NPs come with limitations, including vulnerability to the presence of obesity, atrial fibrillation, and renal dysfunction, for example. Beyond the NPs, novel biomarkers may supplement traditional clinical and laboratory testing to improve understanding of the complex disease process of HF, and possibly to personalize care for those affected through better individual phenotyping.
CONTENT
In this review we discuss novel biomarkers by dividing them into categories based on major pathophysiologic pathways they represent including myocardial stretch/stress, cardiac extracellular matrix remodeling, cardiomyocyte injury/death, oxidative stress, inflammation, neurohumoral activation, and renal dysfunction.
SUMMARY
Given the limitations of NPs, along with the complex physiology in HF, it is logical to consider utilization of novel biomarkers providing orthogonal biological and clinical information. Several novel HF biomarkers have shown promise but have substantial expectations to meet before being used clinically. Nonetheless, it is reasonable to expect the future lies in the application of multibiomarker panels for the improvement in management of HF and the personalization of care.
Collapse
Affiliation(s)
| | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital, Boston, MA
- Harvard Clinical Research Institute, Boston, MA
| |
Collapse
|
14
|
Flores-Blanco PJ, López-Cuenca Á, Januzzi JL, Marín F, Sánchez-Martínez M, Quintana-Giner M, Romero-Aniorte AI, Valdés M, Manzano-Fernández S. Comparison of Risk Prediction With the CKD-EPI and MDRD Equations in Non-ST-Segment Elevation Acute Coronary Syndrome. Clin Cardiol 2016; 39:507-15. [PMID: 27249221 DOI: 10.1002/clc.22556] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 04/15/2016] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations estimate glomerular filtration rate (GFR) more accurately than the Modification of Diet in Renal Disease (MDRD) equation. HYPOTHESIS New CKD-EPI equations improve risk stratification in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and provide complementary information to the Global Registry of Acute Coronary Events (GRACE) risk score. METHODS We studied 350 subjects (mean age, 68 ± 12 years; 70% male) with NSTE-ACS. Estimated GFR was calculated using the MDRD and new CKD-EPI equations based on serum creatinine (SCr) and/or cystatin C (CysC) concentrations obtained within 48 hours of hospital admission. The primary endpoint was all-cause death during follow-up. RESULTS Over the study period (median, 648 days [interquartile range, 236-1042 days]), 31 patients died (0.05% events per person-year). Decedents had poorer renal-function parameters (P < 0.001). Both CysC-based CKD-EPI equations had the highest areas under the receiver operating characteristic curve for the prediction of all-cause mortality. After multivariate adjustment, only CysC-based CKD-EPI equations were independent predictors of all-cause mortality (CKD-EPISCr - CysC , per mL/min/1.73 m(2) : hazard ratio: 0.975, 95% confidence interval: 0.956-0.994, P = 0.009; CKD-EPICysC , per mL/min/1.73 m(2) : hazard ratio: 0.976, 95% confidence interval: 0.959-0.993, P = 0.005). Reclassification analyses showed that only CysC-based CKD-EPI equations improved predictive accuracy of the GRACE risk score. CONCLUSIONS In patients with NSTE-ACS, CysC-based CKD-EPI equations improved clinical risk stratification for mortality and added complementary prognostic information to the GRACE risk score.
Collapse
Affiliation(s)
- Pedro J Flores-Blanco
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain.
| | - Ángel López-Cuenca
- Department of Cardiology, Hospital de la Vega Lorenzo Guirao, Cieza, Murcia, Spain
| | - James L Januzzi
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Francisco Marín
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain.,Department of Cardiology, School of Medicine, University of Murcia, Murcia, Spain
| | | | - Miriam Quintana-Giner
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Ana I Romero-Aniorte
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Mariano Valdés
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain.,Department of Cardiology, School of Medicine, University of Murcia, Murcia, Spain
| | - Sergio Manzano-Fernández
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain.,Department of Cardiology, School of Medicine, University of Murcia, Murcia, Spain
| |
Collapse
|