Congestive heart failure (HF) is a known risk factor of contrast-induced acute kidney injury (CI-AKI). However, the relationship of the classification and severity of HF with CI-AKI remains under-explored. From January 2009 to April 2019, we recruited patients undergoing elective PCI who had complete pre- and post-operative creatinine data. According to the levels of ejection fraction (EF), HF was classified as HF with reduced EF (HFrEF) [EF < 40%], HF with mid-range EF (HFmrEF) [EF 40–49%] and HF with preserved EF (HFpEF) [EF ≥ 50%]. CI-AKI was defined as an increase of either 25% or 0.5 mg/dL (44.2 μmoI/L) in serum baseline creatinine level within 72 h following the administration of the contrast agent. A total of 3848 patients were included in the study; mean age 67 years old, 33.9% females, 48.1% with HF, and 16.9% with CI-AKI. In multivariate logistic regression analysis, HF was an independent risk factor for CI-AKI (OR 1.316, p value < 0.05). Among patients with HF, decreased levels of EF (OR 0.985, p value < 0.05) and elevated levels of N-terminal pro b-type natriuretic peptide (NT-proBNP) (OR 1.168, p value < 0.05) were risk factors for CI-AKI. These results were consistent in subgroup analysis. Patients with HFrEF were more likely to develop CI-AKI than those with HFmrEF or HFpEF (OR 0.852, p value = 0.031). Additionally, lower levels of EF were risk factors for CI-AKI in the HFrEF and HFmrEF groups, but not in the HFpEF group. NT-proBNP was an independent risk factor for CI-AKI in the HFrEF, HFmrEF and HFpEF groups. Elevated levels of NT-proBNP are independent risk factors for CI-AKI irrespective of the classification of HF. Lower levels of EF were risk factors for CI-AKI in the HFrEF and HFmrEF groups, but not in the HFpEF group.

Background Post-contrast acute kidney injury (PC-AKI) is a severe complication of coronary angiography (CAG) and percutaneous coronary intervention (PCI). Currently, the effect of statins on PC-AKI and its mechanism remains unclear. Methods This multicenter retrospective observational study included 4386 patients who underwent CAG or PCI from December 2006 to December 2019 in Sir Run Run Shaw Hospital and its medical consortium hospitals. Serum creatinine pre- or post-procedure within 72 h after PCI was recorded. Multivariate logical regression was used to explore whether preoperative use of statins was protective from PC-AKI. The path analysis model was then utilized to look for the mediation factors of statins. Results Four thousand three hundred eighty-six patients were enrolled totally. The median age of the study population was 68 years old, 17.9% with PC-AKI, and 83.3% on preoperative statins therapy. The incidence of PC-AKI was significantly lower in group of patients on statins therapy. Multivariate regression indicated that preoperative statins therapy was significantly associated with lower percentage of elevated creatinine (β: -0.118, P < 0.001) and less PC-AKI (OR: 0.575, P < 0.001). In the preoperative statins therapy group, no statistically significant difference was detected between the atorvastatin and rosuvastatin groups (OR: 1.052, P = 0.558). Pathway model analysis indicated a direct protective effect of preoperative statins therapy on PC-AKI (P < 0.001), but not through its lipid-lowering effect (P = 0.277) nor anti-inflammatory effect (P = 0.596). Furthermore, it was found that “low-density lipoprotein cholesterol (LDL-C)→C-reactive protein (CRP)” mediated the relationship between preoperative statins therapy and PC-AKI (P = 0.007). However, this only explained less than 1% of the preoperative protective effects of statins on PC-AKI. Conclusion Preoperative statins therapy is an independent protective factor of PC-AKI, regardless of its type. This protective effect is not achieved by lipid-lowering effect or anti-inflammatory effect. These findings underscore the potential use of statins in preventing PC-AKI among those at risk.

BackgroundIdentifying high-risk patients for contrast-associated acute kidney injury (CA-AKI) helps to take early preventive interventions. The current study aimed to establish and validate an online pre-procedural nomogram for CA-AKI in patients undergoing coronary angiography (CAG).MethodsIn this retrospective dataset, 4,295 patients undergoing CAG were enrolled and randomized into the training or testing dataset with a split ratio of 8:2. Optimal predictors for CA-AKI were determined by Least Absolute Shrinkage and Selection Operator (LASSO) and Random Forest (RF) algorithm. Nomogram was developed and deployed online. The discrimination and accuracy of the nomogram were evaluated by receiver operating characteristic (ROC) and calibration analysis, respectively. Clinical usefulness was estimated by decision curve analysis (DCA) and clinical impact curve (CIC).ResultsA total of 755 patients (17.1%) was diagnosed with CA-AKI. 7 pre-procedural predictors were identified and integrated into the nomogram, including age, gender, hemoglobin, N-terminal of the prohormone brain natriuretic peptide, neutrophil-to-lymphocyte ratio, cardiac troponin I, and loop diuretics use. The ROC analyses showed that the nomogram had a good discrimination performance for CA-AKI in the training dataset (area under the curve, AUC = 0.766, 95%CI [0.737 to 0.794]) and testing dataset (AUC = 0.737, 95%CI [0.693 to 0.780]). The nomogram was also well-calibrated in both the training dataset (P = 0.965) and the testing dataset (P = 0.789). Good clinical usefulness was identified by DCA and CIC. Finally, this model was deployed in a web server for public use (https://duanbin-li.shinyapps.io/DynNomapp/).ConclusionAn easy-to-use pre-procedural nomogram for predicting CA-AKI was established and validated in patients undergoing CAG, which was also deployed online.