Trends, Management and Outcomes of Acute Myocardial Infarction in Chronic Liver Disease

Peer reviewedPostprin

Outcomes and Discriminatory Accuracy of the CHA2DS2VASc Score in Atrial Fibrillation and Cancer

Background: Atrial fibrillation (AF) is highly prevalent among cancer patients. The role of traditional risk stratification scores in the context of different cancer types in these patients remains unknown. Objectives: The purpose of this study was to determine the discriminative accuracy of the CHA2DS2VASc score for ischemic stroke using receiver operating characteristic and area under the curve. Methods: The National Readmission Database (2015-2019) was used to identify all AF patients stratified by the cancer diagnosis, type, and CHA2DS2VASc category (low; moderate; high risk). Outcomes at 30-day readmission were compared between cancer and noncancer groups using hierarchical multivariable logistic regression to calculate adjusted odds ratios (aORs) and 95% CIs. Results: A total of 6,996,088 AF patients were identified at index admission. Of these, 4,242,630 (642,237 cancer, 3,600,393 noncancer) were readmitted at 30 days. Cancer patients (92.1%) had a higher proportion of high CHA2DS2VASc scores compared with their noncancer counterparts (89.8%, P \u3c 0.001). The 30-day readmission rate and incidence of major bleeding in cancer patients were significantly higher compared with their corresponding noncancer group across all CHA2DS2VASc categories. Among the different cancer types, hematological and lung cancer had a high propensity for major bleeding. The odds of ischemic stroke were lower in the cancer group across high (1.9% vs 2.4%; aOR: 0.78; 95% CI: 0.76-0.79; P \u3c 0.0001), moderate (0.8% vs 1.3%; aOR: 0.57; 95% CI: 0.50-0.64; P \u3c 0.0001), and low (0.4% vs 0.9%; aOR: 0.46; 95% CI: 0.34-0.62; P \u3c 0.0001) risk category relative to the noncancer group irrespective of type of cancer. CHA2DS2VASc category had a statistically significant discriminatory accuracy for ischemic stroke in both cancer and noncancer patients. Conclusions: Cancer patients with AF are at a higher risk of readmission and major bleeding. The risk of ischemic stroke during readmission appears to be lower than noncancer patients. These findings may have implications for anticoagulant therapy in cancer patients

Distribution, management and outcomes of AMI according to principal diagnosis priority during inpatient admission

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An Unusual Femoral Sheath Severing with Successful Recapture: A Case Report

This study presents a case of a successful severed femoral sheath recapture during transfemoral transcatheter aortic valve replacement (TAVR). During skin tunneling with a scalpel, the discontinuity of the femoral sheath occurred. Grasping of the distal sheath with the surgical hemostat was attempted unsuccessfully. A proximal part of the severed sheath was removed and Medtronic Sentrant introducer sheath (14 French) was then placed over the existing Confida wire which permanently remained in position, followed by the introduction of the Amplatz Left 2 (AL2) catheter which pushed the severed sheath in the ascending aorta over the Confida wire. The crucial maneuver was the entanglement of the severed sheath in the aortic non-coronary cusp which allowed for its entrapment by the AL2 catheter. This allowed for the coronary guidewire BMW Universal (0.014″) placement and a slow balloon retrieval (SeQuent NEO 2.5 × 25 mm2) of the severed sheath into the introducer sheath. The guidewire/balloon catheter was then exchanged for the support wire (0.035″) followed by the removal of the introducer sheath, AL2 catheter and the severed sheath. In conclusion, sheath severing is a complex accidental event during TAVR, which can be solved by intra-aortic recapture and retraction

Invasive management and in-hospital outcomes of myocardial infarction patients in rural versus urban hospitals in the United States

Objectives: The variation in the management and outcome of acute myocardial infarction (AMI) between rural and urban settings has been previously recognized, but there has previously been no nationwide data reported that is inclusive of the whole adult population.Methods: All discharge records between 2004 and 2018 with AMI diagnosis were extracted from the National Inpatient Sample (NIS) database and stratified by hospital location. The primary outcome was in-hospital mortality, and secondary outcomes included (a) major adverse cardiovascular and cerebrovascular events (MACCE), (b) major bleeding, (c) acute ischemic stroke, the utilization of invasive management in the form of (d) coronary angiography (CA), and (e) percutaneous coronary intervention (PCI). The adjusted odds ratios (aOR) and 95 % confidence interval (95 % CI) were determined using multivariable logistic regression.Results: 9,728,878 records with AMI were identified, of which 1,011,637 (10.4 %) discharges were from rural hospitals. Rural patients were older (median of 71 years vs. 67 years, p < 0.001) and had lower prevalence of the highest risk presentations of AMI than their urban counterparts. After multivariable adjustment, patients from rural hospitals had increased aOR of all-cause mortality (aOR 1.15 95 % CI 1.13-1.16) and MACCE (aOR 1.04 95 % CI 1.04-1.05), as well as the decreased aOR of coronary angiography (aOR 0.29, 95 % CI 0.29-0.29, p < 0.001) and PCI (aOR 0.40, 95 % CI 0.39-0.40, p < 0.001), compared to their urban counterparts.Conclusion: Between 2004 and 2018, the risk of in-hospital mortality and MACCE in AMI patients was significantly higher in rural hospitals, with considerably lower utilization of invasive angiography and revascularization

Prediction of clinical outcomes after percutaneous coronary intervention:Machine-learning analysis of the National Inpatient Sample

Background:This study aimed to develop a multiclass machine-learning (ML) model to predict all-cause mortality, ischemic and hemorrhagic events in unselected hospitalized patients undergoing percutaneous coronary intervention (PCI). Methods: This retrospective study included 1,815,595 unselected weighted hospitalizations undergoing PCI from the National Inpatient Sample (2016–2019). Five most common ML algorithms (logistic regression, support vector machine (SVM), naive Bayes, random forest (RF), and extreme gradient boosting (XGBoost)) were trained and tested with 101 input features. The study endpoints were different combinations of all-cause mortality, ischemic cerebrovascular events (CVE) and major bleeding. An area under the curve (AUC) with 95% confidence interval (95% CI) was selected as a performance metric. Results: The study population was split to a training cohort of 1,186,880 PCI discharges, validation cohort (for calibration) of 296,725 hospitalizations and a test cohort of 331,990 PCI discharges. A total of 98,180 (5.4%) hospital entries included study outcomes. Logistic regression, SVM, naive Bayes, and RF model demonstrated AUCs of 0.83 (95% CI 0.82–0.84), 0.84 (95% CI 0.83–0.86), 0.81 (95% CI 0.80–0.82), and 0.83 (95% CI 0.81–0.84), retrospectively. The XGBoost classifier performed the best with an AUC of 0.86 (95% CI 0.85–0.87) with excellent calibration. We then built a web-based application that provides predictions based on the XGBoost model. Conclusion: We derived the multi-task XGBoost classifier based on 101 features to predict different combinations of all-cause death, ischemic CVE and major bleeding. Such models may be useful in benchmarking and risk prediction using routinely collected administrative data.</p

An Unusual Femoral Sheath Severing with Successful Recapture: A Case Report

This study presents a case of a successful severed femoral sheath recapture during transfemoral transcatheter aortic valve replacement (TAVR). During skin tunneling with a scalpel, the discontinuity of the femoral sheath occurred. Grasping of the distal sheath with the surgical hemostat was attempted unsuccessfully. A proximal part of the severed sheath was removed and Medtronic Sentrant introducer sheath (14 French) was then placed over the existing Confida wire which permanently remained in position, followed by the introduction of the Amplatz Left 2 (AL2) catheter which pushed the severed sheath in the ascending aorta over the Confida wire. The crucial maneuver was the entanglement of the severed sheath in the aortic non-coronary cusp which allowed for its entrapment by the AL2 catheter. This allowed for the coronary guidewire BMW Universal (0.014″) placement and a slow balloon retrieval (SeQuent NEO 2.5 × 25 mm2) of the severed sheath into the introducer sheath. The guidewire/balloon catheter was then exchanged for the support wire (0.035″) followed by the removal of the introducer sheath, AL2 catheter and the severed sheath. In conclusion, sheath severing is a complex accidental event during TAVR, which can be solved by intra-aortic recapture and retraction

External Validation of the ImAgeS Risk Score for Mortality in Hospitalized Kidney Transplant Recipients with COVID-19: A Retrospective Observational Study

Background: Timely recognition of high-risk individuals with novel Coronavirus disease (COVID-19) is important. Yet, validated risk scores for kidney transplant recipients with COVID-19 are lacking. The present study aimed to externally validate the novel ImAgeS risk score in this population. Methods: A retrospective analysis of 65 kidney transplant recipients with COVID-19 was conducted. A robust external validation of the novel ImAgeS risk score with respect to 30-day all-cause mortality was performed using regression analysis, discrimination and calibration methods. Results: An overall mortality rate during the study follow-up was 18.5% (N = 12). The ImAgeS risk score showed a statistically significant association with 30-day all-cause mortality (HR 1.04 95% CI 1.00–1.08, p =  0.040). This risk score demonstrated a modest, statistically significant discrimination of all-cause mortality (AUC of 0.679 (95% CI 0.519–0.840, p = 0.027). The calibration of the model was acceptable with a Hosmer-Lemeshow value of 3.74, Harrell’s C concordance index of 0.699 and Somers’ D of 0.397. Conclusions: The ImAgeS risk score demonstrated a significant association with 30-day all-cause mortality in kidney transplant recipients with COVID-19. The model showed modest discrimination and satisfactory calibration, confirming the findings from the computational study. Further studies are needed to determine the utility of the ImAgeS score in this high-risk population

Sex Differences in Characteristics and Outcomes among Low-Risk Non-ST-Elevation Acute Coronary Syndrome Patients during Long Term Follow-Up

Previous heterogenous studies show conflicting data about sex-based outcomes of non-ST-elevation acute coronary syndrome (NSTE-ACS) patients. This study evaluated 300 NSTE-ACS patients undergoing a coronary angiography between September 2012 and May 2015 that were managed with all-treatment strategies. The sample was stratified by sex and analyzed for the baseline characteristics and outcomes. The main outcome included major adverse cardiovascular and cerebrovascular events (MACCE), which were a composite of cardiac death, nonfatal myocardial infarction, ischemic stroke or urgent coronary revascularization. The female patients were older (median of 69.0 vs. 63.0 years, p = 0.008) and had lower values of BMI (median of 26.3 vs. 28.2 kg/m2, p 0.05). The female patients had significantly higher unadjusted rates of ischemic stroke (4.2% vs. 0.5%, p = 0.023), cardiac mortality (11.3%, vs. 3.9%, p = 0.022) and MACCE (33.8%, vs. 19.5%, p = 0.014); female sex was a significant predictor of MACCE in the univariate analysis (HR 1.86, 95%CI 1.12–3.09, p = 0.014); and the cumulative incidence of MACCE was higher in female patients (p = 0.014). After the adjustment, the predictive effect of female sex became non-significant (HR 1.60, 95%CI 0.94–2.73, p = 0.083), while there was no difference in the cumulative incidence of MACCE among the propensity score matched cohort (p = 0.177). Female NSTE-ACS patients have worse long-term outcomes compared to their male counterparts. However, the differences disappear after adjustment and propensity score matching. Continuing efforts and health measures are required to alleviate any sex-based differences in the NSTE-ACS population

Sex Differences in Characteristics and Outcomes among Low-Risk Non-ST-Elevation Acute Coronary Syndrome Patients during Long Term Follow-Up

Previous heterogenous studies show conflicting data about sex-based outcomes of non-ST-elevation acute coronary syndrome (NSTE-ACS) patients. This study evaluated 300 NSTE-ACS patients undergoing a coronary angiography between September 2012 and May 2015 that were managed with all-treatment strategies. The sample was stratified by sex and analyzed for the baseline characteristics and outcomes. The main outcome included major adverse cardiovascular and cerebrovascular events (MACCE), which were a composite of cardiac death, nonfatal myocardial infarction, ischemic stroke or urgent coronary revascularization. The female patients were older (median of 69.0 vs. 63.0 years, p = 0.008) and had lower values of BMI (median of 26.3 vs. 28.2 kg/m2, p 0.05). The female patients had significantly higher unadjusted rates of ischemic stroke (4.2% vs. 0.5%, p = 0.023), cardiac mortality (11.3%, vs. 3.9%, p = 0.022) and MACCE (33.8%, vs. 19.5%, p = 0.014); female sex was a significant predictor of MACCE in the univariate analysis (HR 1.86, 95%CI 1.12–3.09, p = 0.014); and the cumulative incidence of MACCE was higher in female patients (p = 0.014). After the adjustment, the predictive effect of female sex became non-significant (HR 1.60, 95%CI 0.94–2.73, p = 0.083), while there was no difference in the cumulative incidence of MACCE among the propensity score matched cohort (p = 0.177). Female NSTE-ACS patients have worse long-term outcomes compared to their male counterparts. However, the differences disappear after adjustment and propensity score matching. Continuing efforts and health measures are required to alleviate any sex-based differences in the NSTE-ACS population