Abstract 13758: The Value of Plasma Neutrophil Gelatinase Associated Lipocalin in the Diagnosis of Cardiorenal Syndrome Type 1

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Hao T Phan
Keyword(s):  
Heart Failure ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Acute Heart Failure ◽  
Predictive Value ◽  
Cardiorenal Syndrome ◽  
Syndrome Type ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Neutrophil Gelatinase

Introduction: The presence of acute kidney injury in the setting of acute heart failure is very common occurrence and was termed cardiorenal syndrome 1 (CRS1). In CRS1 the diagnosis of acute kidney damage is often delayed by creatinine and urine output following KDIGO standards (Kidney Disease Improving Global Outcomes). Neutrophil gelatinase-associated lipocalin (NGAL) in the blood and urine is one of the earliest markers of acute kidney damage due to anemia or nephrotoxicity. Hypothesis: Plasma NGAL has good value in the diagnosis of cardiorenal syndrome type 1. Methods: There were 139 patients with acute heart failure or acute decompensated heart failure (ADHF) in the Department of cardiovascular resuscitation and Interventional cardiology at our hospital from September 2018 to June 2019. This is a prospective cohort study Results: There were 48 cases (rate 34.5%) with CRS1, medium age 66.12 ± 15.77, men accounted for 50.4%. The optimal cut-off for diagnosing NGAL CRS1 is > 353.23 ng/ml, AUC is 0.732 (95% CI 0.65-0.80, p <0.001), sensitivity 74.47%, specificity 68.48%, positive predictive value 54.7%, negative predictive value 84%. Building the optimal regression model by the BMA (Bayesian Model Average) method with 2 variables NGAL and creatinin day 1: Odds Ratio= e^y while y = - 2.39 + 0.0037 x NGAL + 0.17 x CreatininD1. Moreover, a nomogram with 2 variables NGAL and creatinin day 1 was designed to predict the likelihood of CRS1 with AUC 0.79 and validated on a testing set (consiting of 40 % of the data) by 10-cross-validation method with accuracy 79.82%. Ultimately, a confusion matrix was constructed to determine model accuracy 75.93%, sensitivity 76.74%, specificity 72.73%, positive predictive value 91.67%, negative predictive value 44.44%. Conclusions: Plasma NGAL is quite good value in the diagnosis of CRS1 in patients with acute heart failure or ADHF. A predictive model based on NGAL may help early diagnose CRS1 in patients with acute heart failure or ADHF.

scholarly journals The value of Cystatin C in the diagnosis of cardiorenal syndrome type 1

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
H A O Phan
Keyword(s):  
Heart Failure ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Acute Heart Failure ◽  
Cystatin C ◽  
Predictive Value ◽  
Cardiorenal Syndrome ◽  
Syndrome Type ◽  
Model Average

Abstract Background The presence of acute kidney injury in the setting of acute heart failure is very common occurrence and was termed cardiorenal syndrome 1 (CRS1). In CRS1 the diagnosis of acute kidney damage is often delayed by creatinine and urine output following KDIGO standards (Kidney Disease Improving Global Outcomes). Cystatin C is one of the earliest markers of worsening renal function. We studied the value of plasma Cystatin C in the diagnosis of cardiorenal syndrome type 1. Purpose This study was aimed: (1) to decribe clinical, subclinical characteristics, prevalence of CRS1; (2) to evaluate the diagnostic efficacy of Cystatin C in diagnosis of CRS1. Materials and method There were 139 patients with acute heart failure or acute decompensated heart failure (ADHF) in the Department of cardiovascular resuscitation and Interventional cardiology at 115 Ho Chi Minh City People's Hospital from September 2018 to June 2019. This is a prospective cohort study. Results There were 48 cases (rate 34.5%) with CRS1, medium age 66.12±15.77, men accounted for 50.4%. The optimal cut-off Cystatin C for diagnosing CRS1 is &gt;1.81 mg/dl, AUC is 0.787 (95% CI 0.71–0.85, p&lt;0.001), sensitivity 75%, specificity 83.52%, positive predictive value 70.6%, negative predictive value 86.4%. Building the optimal regression model by the BMA (Bayesian Model Average) method with only one variable Cystatin C: Odds Ratio = ey, while y = −2.75 + 1.11x Cystatin C. Moreover, a nomogram with variable Cystatin C was designed to predict the likelihood of CRS1 with AUC 0.842. Ultimately, a confusion matrix was constructed to determine model accuracy 81.82%, sensitivity 78.26%, specificity 100%, positive predictive value 100%, negative predictive value 47.37%. Conclusions Cystatin C is quite good value in the diagnosis of CRS1 in patients with acute heart failure or ADHF. A predictive model based on Cystatin C may help early diagnose CRS1 in patients with acute heart failure or ADHF. FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals Neutrophil Gelatinase Associated Lipocalin Urin sebagai Deteksi Dini Acute Kidney Injury

Sari Pediatri ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. 195
Author(s):  
Siti Aizah Lawang ◽  
Antonius Pudjiadi ◽  
Abdul Latief
Keyword(s):  
Acute Kidney Injury ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Area Under Curve ◽  
Kidney Injury ◽  
Cross Sectional ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Consecutive Sampling ◽  
Neutrophil Gelatinase

Latar belakang. Penelitian terkini fokus pada identifikasi biomarker yang lebih dini untuk acute kidney injury (AKI). Salah satunya adalah neutrophil gelatinase associated lipocalin (NGAL), protein 25 kDa yang merupakan potensial biomarker dini untuk AKI.Tujuan. Melihat neutrophil gelatinase associated lipocalin (NGAL) sebagai biomarker dini untuk acute kidney injury (AKI).Metode. Penelitian kualitatif dengan desain uji diagnostik. Pengambilan sampel secara cross sectional dan consecutive sampling pada 50 orang anak, terdiri atas 28 sepsis dan 22 sepsis berat di ruang rawat intensif anak di RS. Cipto Mangunkusomo Jakarta dan RS. Wahidin Sudirohusodo Makassar.Hasil. Terdapat perbedaan sangat bermakna kadar NGAL urin dan kreatinin berdasarkan beratnya sepsis (p<0,001). Nilai rerata sepsis 132,93 ng/mL dan sepsis berat 2159,98 ng/mL. Terdapat perbedaan bermakna antara beratnya AKI menurut kriteria RIFFLE dengan beratnya sepsis (p=0,013). Tidak terdapat hubungan bermakna antara kadar NGAL urin dengan kriteria RIFFLE (p=0,173). Nilai sensitifitas NGAL urin 100% dan spesifisitas 63,63%, positive predictive value 27,27%, negative predictive value 100% dan area under curve (AuOC) 0,826.Kesimpulan. Neutrophil gelatinase associated lipocalin (NGAL) dapat dipakai sebagai skrining AKI.

scholarly journals Plasma Lipopolysaccharide Concentrations in Cardiorenal Syndrome Type 1

2019 ◽  
Vol 9 (5) ◽  
pp. 308-315
Author(s):  
Grazia Maria Virzì ◽  
Andrea Breglia ◽  
Ghada Ankawi ◽  
Chiara Bolin ◽  
Massimo de Cal ◽  
...  
Keyword(s):  
Kidney Injury ◽  
Cardiorenal Syndrome ◽  
Syndrome Type ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Significant Difference ◽  
Renal Markers ◽  
Neutrophil Gelatinase ◽  
Time Of Admission

Background: Cardiorenal syndrome (CRS) type 1 is characterized by a rapid worsening of cardiac function that leads to acute kidney injury (AKI). This study evaluated the role of lipopolysaccharide (LPS) in the development of AKI in patients with acute heart failure (AHF) and its relationship with renal parameters, to enable a better comprehension of the pathophysiology of CRS type 1. Methods: We enrolled 32 AHF patients, 15 of whom were classified as having CRS type 1. Eight of these 15 exhibited AKI at the time of admission (caused by AHF) and the other 7 developed AKI during their stay in hospital (in the first 48 h). We evaluated the plasmatic LPS concentrations as well as conventional (serum creatinine [sCr] and urea) and unconventional (neutrophil gelatinase-associated lipocalin [NGAL] and cystatin C) renal markers. Results: LPS levels were significantly higher in the CRS type 1 patients. No significant difference in LPS level was found in patients who were admitted with AKI and those developed AKI in hospital, but there was a tendency towards a higher level of LPS in CRS type 1 patients admitted with AKI. The LPS concentrations at admission were similar in CRS type 1 survivors (n = 12) and nonsurvivors (n = 3) (p = 0.22). We observed a positive correlation between LPS level and NGAL, Scr at admission and peak Scr during hospitalization and urea at admission. Conclusion: CRS type 1 patients present with an increased level of LPS and there is a direct correlation between LPS and renal parameters. This pilot research is the first study to explore the premise of LPS as novel pathophysiological factor in CRS type 1.

Antibodies against NALP5 and it’s role in hypoparathyroidism in autoimmune polyglandular syndrome type 1

2016 ◽  
Vol 62 (2) ◽  
pp. 25-30
Author(s):  
Leila S. Sozaeva ◽  
Elizaveta M. Orlova ◽  
Bergithe Oftedal ◽  
Maria A. Kareva ◽  
Valentina A. Peterkova ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Parathyroid Glands ◽  
Syndrome Type ◽  
Positive Correlation ◽  
Autoimmune Polyglandular Syndrome ◽  
Autoimmune Polyglandular Syndrome Type ◽  
Immune Assay

Hypoparathyroidism is one of major components of autoimmune polyglandular syndrome type 1 (APS type 1) with a prevalence 73—83%. The protein NALP5 has been described previously as an antigen of parathyroid glands. Aim — to investigate antibodies against NALP5 in patients with APS type 1. Material and methods. Seventy nine patients with APS type 1 were included in the study. Radio-immune assay was used for detecting antibodies against NALP5. Results. The correlation between hypoparathyroidism and high levels of antibodies against NALP5 was found (p<0.001). Sensitivity of the method was 69,4%, specificity — 83,3%, positive predictive value — 93,5%, negative predictive value — 44,1%. Correlations between other components of the disease and high levels of the antibodies were not found. Conclusions. We found a positive correlation between antibodies against NALP5 and hypoparathyroidism in APS type 1 patients. We did not find correlations between antibodies against NALP5 and other components of APS type 1.

scholarly journals Nomogram Model to Predict Cardiorenal Syndrome Type 1 in Patients with Acute Heart Failure

2018 ◽  
Vol 43 (6) ◽  
pp. 1832-1841 ◽  
Author(s):  
Zeyuan Fan ◽  
Yang Li ◽  
Hanhua Ji ◽  
Xinwen Jian
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Cardiorenal Syndrome ◽  
Syndrome Type

Biomarkers in acute heart failure

2015 ◽  
Author(s):  
Rajiv Choudhary ◽  
Kevin Shah ◽  
Alan Maisel
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Natriuretic Peptides ◽  
Health Care Systems ◽  
Medical Problem ◽  
National Health Care ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Acute Dyspnoea ◽  
Care Systems ◽  
Neutrophil Gelatinase

Acute heart failure continues to be a worldwide medical problem, associated with frequent readmissions, high mortality, and a profound economic impact on national health care systems. In the past decade, biomarkers have shifted the way in which acute heart failure is managed by the cardiologist. The search for the ideal biomarker to aid in the diagnosis, prognosis, and treatment of acute heart failure is ongoing. The natriuretic peptides have proved extremely useful in determining whether acute dyspnoea has a cardiac aetiology. In addition, recent trials have demonstrated the use of natriuretic peptides in inpatient and outpatient prognosis, as well as in titrating medications in outpatients with chronic heart failure to prevent acute heart failure hospitalizations. Other emerging acute heart failure biomarkers include mid-regional pro-adrenomedullin, mid-regional proatrial natriuretic peptide, troponin, ST2, and neutrophil gelatinase-associated lipocalin.

scholarly journals Prognostic value of neutrophil gelatinase-associated lipocalin in acute heart failure

2013 ◽  
Vol 165 (1) ◽  
pp. 51-55 ◽  
Author(s):  
Margarida Alvelos ◽  
Patrícia Lourenço ◽  
Carla Dias ◽  
Marta Amorim ◽  
Joana Rema ◽  
...  
Keyword(s):  
Heart Failure ◽  
Acute Heart Failure ◽  
Prognostic Value ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Neutrophil Gelatinase
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