scholarly journals Correction to: National Cardiovascular Data Registry-Acute Kidney Injury (NCDR) vs. Mehran risk models for prediction of contrast-induced nephropathy and need for dialysis after coronary angiography in a German patient cohort

2021 ◽  
Author(s):  
Claudio Parco ◽  
Maximilian Brockmeyer ◽  
Lucin Kosejian ◽  
Julia Quade ◽  
Jennifer Tröstler ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Coronary Angiography ◽  
Kidney Injury ◽  
Risk Models ◽  
Contrast Induced Nephropathy ◽  
Patient Cohort ◽  
German Patient ◽  
Data Registry ◽  
National Cardiovascular

scholarly journals National Cardiovascular Data Registry-Acute Kidney Injury (NCDR) vs. Mehran risk models for prediction of contrast-induced nephropathy and need for dialysis after coronary angiography in a German patient cohort

2021 ◽  
Author(s):  
Claudio Parco ◽  
Maximilian Brockmeyer ◽  
Lucin Kosejian ◽  
Julia Quade ◽  
Jennifer Tröstler ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Coronary Angiography ◽  
Risk Model ◽  
Kidney Injury ◽  
Characteristic Analysis ◽  
Risk Models ◽  
Contrast Induced Nephropathy ◽  
Net Reclassification Improvement ◽  
Data Registry ◽  
National Cardiovascular

Abstract Background Contrast-induced nephropathy (CIN) is a major adverse event in patients undergoing coronary angiography. The Mehran risk model is the gold-standard for CIN risk prediction. However, its performance in comparison to more contemporary National Cardiovascular Data Registry-Acute Kidney Injury (NCDR-AKI) risk models remains unknown. We aimed to compare both in this study. Methods and results Predictions of Mehran and NCDR-AKI risk models and clinical events of CIN and need for dialysis were assessed in a total of 2067 patients undergoing coronary angiography with or without percutaneous coronary intervention. Risk models were compared regarding discrimination (receiver operating characteristic analysis), net reclassification improvement (NRI) and calibration (graphical and statistical analysis). The NCDR risk model showed superior risk discrimination for predicting CIN (NCDR c-index 0.75, 95% CI 0.72–0.78; vs. Mehran c-index 0.69, 95% CI 0.66–0.72, p < 0.01), and continuous NRI (0.22; 95% CI 0.12–0.32; p < 0.01) compared to the Mehran model. The NCDR risk model tended to underestimate the risk of CIN, while the Mehran model was more evenly calibrated. For the prediction of need for dialysis, NCDR-AKI-D also discriminated risk better (c-index 0.85, 95% CI 0.79–0.91; vs. Mehran c-index 0.75, 95% CI 0.66–0.84; pNCDRvsMehran < 0.01), but continuous NRI showed no benefit and calibration analysis revealed an underestimation of dialysis risk. Conclusion In German patients undergoing coronary angiography, the modern NCDR risk model for predicting contrast-induced nephropathy showed superior discrimination compared to the GRACE model while showing less accurate calibration. Results for the outcome ‘need for dialysis’ were equivocal. Graphic abstract

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

scholarly journals FREQUENCY OF ACUTE KIDNEY INJURY AMONG PATIENTS UNDERGOING CORONARY ANGIOGRAPHY

2021 ◽  
Vol 70 (Suppl-4) ◽  
pp. S828-32
Author(s):  
Sajid Khan ◽  
Abdul Hameed Siddiqui ◽  
Ariz Samin ◽  
Syed Hassan Mustafa ◽  
Akhtar Gul ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Coronary Angiography ◽  
Serum Creatinine ◽  
Study Design ◽  
Kidney Injury ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Baseline Serum ◽  
Control And Prevention

Objective: To determine the frequency of acute kidney injury among patients undergoing coronary angiography. Study Design: Descriptive cross-sectional study. Place and Duration of Study: Department of Cardiology, Hayatabad Medical Complex, Peshawar, from Jan 2018 to Jul 2018. Methodology: This study was conducted in the in the Department of Cardiology, Hayatabad Medical Complex, Peshawar from 22nd Jan 2018 to 22nd Jul 2018. Through a descriptive cross-sectional study design, a total of 116 patients scheduled for coronary angiography were included in the study in a consecutive manner and baseline / follow up serum creatinine was recorded to detect acute kidney injury. Results: In this study 116 patients were included, 61.2% males and 38.8% females. Mean age of the patients was 55.6 years with a standard deviation of 6.6 years. Mean baseline serum creatinine level was 0.9 ± 0.11mg/dl which was 1.5 ± 0.11 48 hours after coronary angiography (p 0.000). AKI was recorded in 19.8% of patients. Conclusion: Acute kidney injury after coronary angiography is not uncommon in our population. More studies are recommended on its risk factors and complications to draw future directions for its control and prevention.

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