Prevalence and Prognostic Implications of Worsening Renal Function After Acute Myocardial Infarction.

We sought to investigate the relation between worsening renal function (WRF) at 1-year follow-up and clinical outcomes at 3 years after acute myocardial infarction (AMI). We analyzed data from 13,104 patients enrolled in the national AMI registry from November 2011 to December 2015. Patients with all-cause death, recurrent myocardial infarction (re-MI), and rehospitalization for heart failure at 1-year follow-up after AMI were excluded. A total of 6,235 patients were extracted and divided into WRF and non-WRF groups. WRF was defined as a ≥25% decrease in estimated glomerular filtration rate (eGFR) from baseline to 1-year follow-up. The primary outcome was 3-year major adverse cardiac events, a composite of all-cause death, re-MI, and rehospitalization for heart failure. On average, a -1.5 ml/min/1.73 m2/y rate of decrease in eGFR was exhibited, and 575 patients (9.2%) exhibited WRF at 1-year follow-up. After multiple adjustments, WRF at 1-year follow-up was independently associated with increased risks of major adverse cardiac events (adjusted hazard ratio 1.498, 95% confidence interval 1.113 to 2.016, p = 0.01), all-cause death, and re-MI at 3-year follow-up. Older age, female, diabetes mellitus, hypertension, non-ST-segment elevation AMI, anterior AMI, anemia, left ventricular ejection fraction <35%, and baseline eGFR <30 ml/min/1.73 m2 were identified as independent predictors of WRF after AMI. In conclusion, WRF at 1-year follow-up after AMI intuitively seems like a risk marker indicating multiple co-morbidities. Monitoring serum creatinine in patients at 1-year follow-up after AMI may help to identify those who are at the highest risk and guide effective long-term therapeutics.

Scale-Space Feature Recalibration Network for Single Image Deraining.

Computer vision technology is increasingly being used in areas such as intelligent security and autonomous driving. Users need accurate and reliable visual information, but the images obtained under severe weather conditions are often disturbed by rainy weather, causing image scenes to look blurry. Many current single image deraining algorithms achieve good performance but have limitations in retaining detailed image information. In this paper, we design a Scale-space Feature Recalibration Network (SFR-Net) for single image deraining. The proposed network improves the image feature extraction and characterization capability of a Multi-scale Extraction Recalibration Block (MERB) using dilated convolution with different convolution kernel sizes, which results in rich multi-scale rain streaks features. In addition, we develop a Subspace Coordinated Attention Mechanism (SCAM) and embed it into MERB, which combines coordinated attention recalibration and a subspace attention mechanism to recalibrate the rain streaks feature information learned from the feature extraction phase and eliminate redundant feature information to enhance the transfer of important feature information. Meanwhile, the overall SFR-Net structure uses dense connection and cross-layer feature fusion to repeatedly utilize the feature maps, thus enhancing the understanding of the network and avoiding gradient disappearance. Through extensive experiments on synthetic and real datasets, the proposed method outperforms the recent state-of-the-art deraining algorithms in terms of both the rain removal effect and the preservation of image detail information.

Comparison of in-hospital outcomes of patients with vs. without ischaemic cardiomyopathy undergoing veno-arterial-extracorporeal membrane oxygenation.

AIMS: This study aimed to investigate differences in baseline and treatment characteristics, and in-hospital mortality according to the aetiologies of cardiogenic shock in patients undergoing veno-arterial-extracorporeal membrane oxygenation (VA-ECMO). METHODS AND RESULTS: The RESCUE registry is a multicentre, observational cohort that includes 1247 patients with cardiogenic shock from 12 centres. A total of 496 patients requiring VA-ECMO were finally selected, and the study population was stratified by cardiogenic shock aetiology [ischaemic cardiomyopathy (ICM, n = 342) and non-ICM (NICM, n = 154)]. The primary outcome of interest was in-hospital mortality. Sensitivity analyses including propensity-score matching adjustments were performed. Mean age of the entire population was 61.8 ± 14.2, and 30.8% were women. There were significant differences in baseline characteristics; notable differences included the older age of patients with ICM (65.1 ± 13.7 vs. 58.2 ± 13.8, P < 0.001), preponderance of males [258 (75.4%) vs. 85 (55.2%), P < 0.001], and higher prevalence of diabetes mellitus [140 (40.9%) vs. 39 (25.3%), P = 0.001] compared with patients in the NICM aetiology group. Patients with ischaemic cardiogenic shock were more likely to have longer shock duration before VA-ECMO implantation (518.7 ± 941.4 min vs. 292.4 ± 707.8 min, P = 0.003) and were less likely to undergo distal limb perfusion than those with NICM [108 (31.6%) vs. 79 (51.3%), P < 0.001]. In-hospital mortality in the overall cohort was 52.2%; patients with ICM had a higher unadjusted risk of in-hospital mortality [203 (59.4%) vs. 56 (36.4%); unadjusted hazard ratio, 2.295; 95% confidence interval, 1.698-3.100; P < 0.001]. There were no significant differences in the primary outcome between the two aetiologies following propensity-score matching multiple adjustments (adjusted hazard ratio, 1.265; 95% confidence interval, 0.840-1.906; P = 0.260). CONCLUSIONS: Results of the current study indicated among patients with cardiogenic shock undergoing VA-ECMO, ischaemic aetiology does not seem to impact in-hospital mortality. These findings underline that early initiation and appropriate treatment strategies of VA-ECMO for patients with ICM shock are required.