543-P: A Clinical, Proteomics and Artificial Intelligence-Driven Model to Predict Acute Kidney Injury in Diabetic Patients Undergoing Coronary Angiography—Results from the Catheter Sampled Blood Archive in Cardiovascular Diseases Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 543-P
Author(s):  
NASRIEN E. IBRAHIM ◽  
CIAN P. MCCARTHY ◽  
SHREYA SHRESTHA ◽  
HANNA GAGGIN ◽  
RENATA MUKAI ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Kidney Injury ◽  
Cardiovascular Diseases ◽  
Coronary Angiography ◽  
Kidney Injury ◽  
Clinical Proteomics ◽  
Diabetic Patients

scholarly journals A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography

2019 ◽  
Vol 42 (2) ◽  
pp. 292-298 ◽  
Author(s):  
Nasrien E. Ibrahim ◽  
Cian P. McCarthy ◽  
Shreya Shrestha ◽  
Hanna K. Gaggin ◽  
Renata Mukai ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Kidney Injury ◽  
Coronary Angiography ◽  
Kidney Injury ◽  
Clinical Proteomics

scholarly journals A comparison between two different definitions of contrast-associated acute kidney injury for long-term mortality in patients with diabetes undergoing coronary angiography: a prospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhubin Lun ◽  
Li Lei ◽  
Dianhua Zhou ◽  
Ming Ying ◽  
Liwei Liu ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Coronary Angiography ◽  
Cox Regression ◽  
Kidney Injury ◽  
Diabetic Patients ◽  
Patients With Diabetes ◽  
Long Term Prognosis ◽  
Population Attributable Risks ◽  
Long Term Mortality

Abstract Background The definitions of contrast-associated acute kidney injury (CA-AKI) are diverse and have different predictive effects for prognosis, which are adverse for clinical practice. Few articles have discussed the relationship between these definitions and long-term prognosis in patients with diabetes. Methods A total of 1154 diabetic patients who were undergoing coronary angiography (CAG) were included in this study. Two definitions of CA-AKI were used: CA-AKIA was defined as an increase ≥ 0.3 mg/dl or > 50% in serum creatinine (SCr) from baseline within 72 h after CAG, and CA-AKIB was defined as an increase ≥ 0.5 mg/dl or > 25% in SCr from baseline within 72 h after CAG. We used Cox regression to evaluate the association of these two CA-AKI definitions with long-term mortality and calculate the population attributable risks (PARs) of different definitions for long-term prognosis. Results During the median follow-up period of 7.4 (6.2–8.2) years, the overall long-term mortality was 18.84%, and the long-term mortality in patients with CA-AKI according to both CA-AKIA and CA-AKIB criteria were 36.73% and 28.86%, respectively. We found that CA-AKIA (HR: 2.349, 95% CI 1.570–3.517, p = 0.001) and CA-AKIB (HR: 1.608, 95% CI 1.106–2.339, p = 0.013) were associated with long-term mortality. The PARs were the highest for CA-AKIA (31.14%), followed by CA-AKIB (14.93%). Conclusions CA-AKI is a common complication in diabetic patients receiving CAG. The two CA-AKI definitions are significantly associated with a poor long-term prognosis, and CA-AKIA, with the highest PAR, needs more clinical attention.

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 Predictive value of stress hyperglycemia ratio for the occurrence of acute kidney injury in acute myocardial infarction patients with diabetes

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Side Gao ◽  
Qingbo Liu ◽  
Hui Chen ◽  
Mengyue Yu ◽  
Hongwei Li
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Acute Kidney Injury ◽  
Cardiogenic Shock ◽  
Predictive Value ◽  
Kidney Injury ◽  
Left Ventricular Ejection ◽  
Diabetic Patients ◽  
Stress Hyperglycemia ◽  
Patients With Diabetes

Abstract Background Acute hyperglycemia has been recognized as a robust predictor for occurrence of acute kidney injury (AKI) in nondiabetic patients with acute myocardial infarction (AMI), however, its discriminatory ability for AKI is unclear in diabetic patients after an AMI. Here, we investigated whether stress hyperglycemia ratio (SHR), a novel index with the combined evaluation of acute and chronic glycemic levels, may have a better predictive value of AKI as compared with admission glycemia alone in diabetic patients following AMI. Methods SHR was calculated with admission blood glucose (ABG) divided by the glycated hemoglobin-derived estimated average glucose. A total of 1215 diabetic patients with AMI were enrolled and divided according to SHR tertiles. Baseline characteristics and outcomes were compared. The primary endpoint was AKI and secondary endpoints included all-cause death and cardiogenic shock during hospitalization. The logistic regression analysis was performed to identify potential risk factors. Accuracy was defined with area under the curve (AUC) by a receiver-operating characteristic (ROC) curve analysis. Results In AMI patients with diabetes, the incidence of AKI (4.4%, 7.8%, 13.0%; p < 0.001), all-cause death (2.7%, 3.6%, 6.4%; p = 0.027) and cardiogenic shock (4.9%, 7.6%, 11.6%; p = 0.002) all increased with the rising tertile levels of SHR. After multivariate adjustment, elevated SHR was significantly associated with an increased risk of AKI (odds ratio 3.18, 95% confidence interval: 1.99–5.09, p < 0.001) while ABG was no longer a risk factor of AKI. The SHR was also strongly related to the AKI risk in subgroups of patients. At ROC analysis, SHR accurately predicted AKI in overall (AUC 0.64) and a risk model consisted of SHR, left ventricular ejection fraction, N-terminal B-type natriuretic peptide, and estimated glomerular filtration rate (eGFR) yielded a superior predictive value (AUC 0.83) for AKI. Conclusion The novel index SHR is a better predictor of AKI and in-hospital mortality and morbidity than admission glycemia in AMI patients with diabetes.

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.

Sign in / Sign up

Export Citation Format

Share Document