An In-depth Single-center Retrospective Assessment of In-Hospital Outcomes in Acute Myocardial Infarction Patients with and without Diabetes.

Objective This study examined variations in in-hospital mortality causes and identified independent mortality predictors among patients with acute myocardial infarction (AMI) with and without diabetes mellitus (DM). Methods We examined factors influencing in-hospital mortality in a single-center retrospective observational study. Separate multivariate analyses were conducted for both groups to identify independent predictors of in-hospital mortality. Patients This study included consecutive patients admitted to Iwate Medical University Hospital between January 2012 and December 2017 with a diagnosis of AMI. Results Of 1,140 patients meeting the AMI criteria (average age: 68.2±12.8 years old, 75% men), 408 (35.8%) had diabetes. The DM group had a 1.87-times higher 30-day mortality rate, a lower prevalence of ST-elevated MI (56.6% vs. 65.3% in non-DM, p=0.004), and more frequent non-cardiac causes of death (32% vs. 14% in non-DM, p=0.046) than the non-DM group. Independent predictors of in-hospital mortality in both groups were cardiogenic shock (CS) [DM: hazard ratio (HR) 6.59, 95% confidence interval (CI) 2.90-14.95; non-DM: HR 4.42, 95% CI 1.99-9.77] and renal dysfunction (DM: HR 5.64, 95% CI 1.59-20.04; non-DM: HR 5.92, 95% CI 1.79-19.53). Among patients with DM, a history of stroke was an additional independent predictor of in-hospital mortality (HR 2.59, 95% CI 1.07-6.31). Conclusion Notable disparities were identified in the causes of death and predictive factors of mortality between these two groups of patients with AMI. To further improve AMI outcomes, individualized management and prioritizing non-cardiac comorbidities during hospitalization may be crucial, particularly in patients with DM.

Preprocedural physiological assessment of coronary disease patterns to predict haemodynamic outcomes post-PCI.

BACKGROUND: Even with intracoronary imaging-guided stent optimisation, suboptimal haemodynamic outcomes post-percutaneous coronary intervention (PCI) can be related to residual lesions in non-stented segments. Preprocedural assessment of pathophysiological coronary artery disease (CAD) patterns could help predict the physiological response to PCI. AIMS: The aim of this study was to assess the relationship between preprocedural pathophysiological haemodynamic patterns and intracoronary imaging findings, as well as their association with physiological outcomes immediately post-PCI. METHODS: Data from 206 patients with chronic coronary syndrome enrolled in the ASET-JAPAN study were analysed. Pathophysiological CAD patterns were characterised using Murray law-based quantitative flow ratio (µQFR)-derived indices acquired from pre-PCI angiograms. The diffuseness of CAD was defined by the pullback pressure gradient (PPG) index. Intracoronary imaging in stented segments after stent optimisation was also analysed. RESULTS: In the multivariable analysis, diffuse disease - defined by the pre-PCI µQFR-PPG index - was an independent factor for predicting a post-PCI µQFR <0.91 (per 0.1 decrease of PPG index, odds ratio 1.57, 95% confidence interval: 1.07-2.34; p=0.022), whereas the stent expansion index (EI) was not associated with a suboptimal post-PCI µQFR. Among vessels with an EI ≥80% and post-PCI µQFR <0.91, 84.0% of those vessels had a diffuse pattern preprocedure. There was no significant difference in EI between vessels with diffuse disease and those with focal disease. The average plaque burden in the stented segment was significantly larger in vessels with a preprocedural diffuse CAD pattern. CONCLUSIONS: A physiological diffuse pattern preprocedure was an independent factor in predicting unfavourable immediate haemodynamic outcomes post-PCI, even after stent optimisation using intracoronary imaging. Preprocedural assessment of CAD patterns could identify patients who are likely to exhibit superior immediate haemodynamic outcomes following PCI.

Intravascular Ultrasound Assessment of In-Stent Restenosis in Saphenous Vein Grafts.

Outcomes after percutaneous coronary interventions (PCI) in saphenous vein grafts (SVG) are inferior compared with native coronary arteries, but the mechanisms of SVG in-stent restenosis (ISR) have not been well-described. Thus, we aimed to evaluate the patterns of SVG ISR using intravascular ultrasound (IVUS) in 54 SVG ISR lesions. Stent underexpansion was defined as minimum stent area (MSA) <5 mm2. The time from stent implantation to presentation with ISR (9 BMS, 18 first-generation DES, and 27 second-generation DES) was 3.7 ± 3.0 years. IVUS-defined ISR patterns were categorized as mechanical (33%) or biological (67%). Mechanical patterns comprised 10 cases of stent underexpansion (MSA = 4.2 ± 0.9 mm2), 6 stent fractures or deformations, and 2 uncovered aorto-anastomotic lesions. Biological patterns comprised 19 cases of neoatherosclerosis, 13 excessive neointimal hyperplasia (NIH, 65 ± 11%), and 4 thrombi. Compared with biological patterns of ISR, mechanical patterns were more frequently located at the SVG anastomosis (72% vs 39%, p = 0.04) and at the SVG hinge motion site (55% vs 21%, p = 0.02). Although patients with mechanical patterns of ISR presented earlier than those with biological patterns (2.3 vs 4.4 years, p = 0.009), 61% of them were diagnosed >1 year after stent implantation. In conclusion, SVG ISR is dominated by biological patterns including neoatherosclerosis. Mechanical patterns of SVG ISR are associated with earlier presentation and location at graft anastomosis or hinge motion site.

Impaired renal function is a major determinant of left ventricular diastolic dysfunction: assessment by stress myocardial perfusion imaging.

OBJECTIVE: Relationships between myocardial scintigraphic parameters and renal function have not been fully determined. We investigated correlations between estimated glomerular filtration rate (eGFR) and left ventricular (LV) diastolic function using stress electrocardiographic (ECG)-gated myocardial single photon emission computed tomography (SPECT). METHODS: We enrolled 136 consecutive patients with suspected coronary artery disease (CAD) who were assessed using technetium-99m stress ECG-gated myocardial SPECT. We evaluated SPECT images using 17-segment defect scores graded on a 5-point scale, summed stress score, summed rest score and summed difference score (SDS). The parameters for assessing LV diastolic function were peak filling rate (PFR), 1/3 mean filling rate and time to peak filling. The CAD was defined as SDS ≥2. Chronic kidney disease (CKD) was defined as eGFR <60 mL/min/1.73 m(2). Patients were assigned to the following four groups (no CAD/no CKD: control group, n = 68; CAD/no CKD: CAD group, n = 24; no CAD/CKD: CKD group, n = 34; CAD/CKD: CAD + CKD group, n = 10). RESULTS: The PFR was significantly impaired after stress in the CKD and CAD + CKD groups compared with controls (p < 0.001 for both). Furthermore, PFR at rest positively correlated with eGFR (r = 0.29, p < 0.001) and inversely correlated with SDS (r = -0.18, p < 0.05). Multivariate stepwise regression analysis independently associated eGFR with PFR (ß coefficient = 0.260, p = 0.002). CONCLUSIONS: Our data suggest that impaired renal function is a significant determinant of LV diastolic dysfunction in patients with suspected CAD.