Ultrasound-assisted catheter-directed thrombolysis versus anticoagulation alone for management of submassive pulmonary embolism.

BACKGROUND: Patients with submassive pulmonary embolism (PE) are vulnerable to sudden deterioration, recurrent PE, and progression to pulmonary hypertension and chronic right ventricular (RV) dysfunction. Previous studies have suggested a clinical benefit of using ultrasound-assisted catheter-directed thrombolysis (USCDT) to invasively manage patients with submassive PE. However, there is sparse data comparing the clinical outcomes of these patients when treated with USCDT versus anticoagulation (AC) alone. We sought to compare the outcomes of USCDT versus AC alone in the management of submassive PE. METHODS: 192 consecutive patients who underwent USCDT for submassive PE between January 2013 and February 2019 were identified. ICD9/ICD10 codes were used to detect 2554 patients diagnosed with PE who did not undergo thrombolysis. Propensity matching identified 192 patients with acute PE treated with AC alone. Clinical outcomes were compared between the two groups. Baseline demographics, laboratory values, and pulmonary embolism severity index scores were similar between the two cohorts. RESULTS: There was a significant reduction in mean systolic pulmonary artery pressure (sPAP) in the USCDT group compared to the AC group (∆11 vs ∆3.9 mmHg, p < 0.001). There was significant improvement in proportion of RV dysfunction in all patients, but the difference was larger in the USCDT group (∆43.3% vs ∆17.3%, p < 0.001). Patients who underwent USCDT had lower 30-day (4.3% vs 10.5%, p = 0.03), 90-day (5.5% vs 12.4%, p = 0.03), and 1-year mortality (6.2% vs 14.2%, p = 0.03). CONCLUSIONS: In patients with acute submassive PE, USCDT was associated with improved 30-day, 90-day, and 1 year mortality as compared to AC alone. USCDT also improved RV function and reduced sPAP to a greater degree than AC alone. Further studies are needed to verify these results in both short- and long-term outcomes.

Rates and impact of vascular complications in mechanical circulatory support.

BACKGROUND: Mechanical circulatory support (MCS) devices are increasingly used for hemodynamic support in cardiogenic shock or high-risk percutaneous coronary interventions. Vascular complications remain a major source of morbidity and mortality despite technological advances with percutaneous techniques. Little is known about the rates and predictors of vascular complications with large-bore access MCS in the contemporary era. METHODS: The study cohort was derived from National Inpatient Sample using data from 2015 to 2019 for cardiac hospitalizations with the use of: intra-aortic balloon pump (IABP) Impella, and/or extracorporeal membrane oxygenation (ECMO). The rates of vascular complications and in-hospital outcomes were analyzed using multivariable logistic regression. RESULTS: Of 221,700 hospitalizations with MCS use, the majority had only IABP (68%). The rates of vascular complications were greatest with ECMO (15.8%) when compared with IABP (3.0%) and Impella (5.6%). Among patients with vascular complications, in-hospital mortality was higher with ECMO (56.3%) when compared with IABP (26.2%) and Impella (33.8%). Peripheral arterial disease (PAD) was the strongest predictor of vascular complications, with 10 times higher odds when present (adjusted odds ratio [aOR] 10.96, p < 0.001). In risk-adjusted models, when compared with IABP, the use of Impella (aOR: 1.73, p < 0.001), ECMO (aOR: 5.35, p < 0.001), or a combination of MCS devices (aOR: 3.47, p < 0.001) was associated with higher odds of vascular complications. CONCLUSIONS: In contemporary practice, the use of MCS is associated with significant vascular complications and in-hospital mortality. Predictors of vascular complications include larger arteriotomy size, female gender, and peripheral arterial disease. Vascular access management remains essential to prevent major complications.

COVID-19 risk index (CRI): a simple and validated emergency department risk score that predicts mortality and the need for mechanical ventilation.

Although certain risk factors have been associated with morbidity and mortality, validated emergency department (ED) derived risk prediction models specific to coronavirus disease 2019 (COVID-19) are lacking. The objective of this study is to describe and externally validate the COVID-19 risk index (CRI). A large retrospective longitudinal cohort study was performed to analyze consecutively hospitalized patients with COVID-19. Multivariate regression using clinical data elements from the ED was used to create the CRI. The results were validated with an external cohort of 1799 patients from the MI-COVID19 database. The primary outcome was the composite of the need for mechanical ventilation or inpatient mortality, and the secondary outcome was inpatient mortality. A total of 1020 patients were included in the derivation cohort. A total of 236 (23%) patients in the derivation cohort required mechanical ventilation or died. Variables independently associated with the primary outcome were age ≥ 65 years, chronic obstructive pulmonary disease, chronic kidney disease, cerebrovascular disease, initial D-dimer > 1.1 µg/mL, platelet count < 150 K/µL, and severity of SpO2:FiO2 ratio. The derivation cohort had an area under the receiver operator characteristic curve (AUC) of 0.83, and 0.74 in the external validation cohort Calibration shows close adherence between the observed and expected primary outcomes within the validation cohort. The CRI is a novel disease-specific tool that assesses the risk for mechanical ventilation or death in hospitalized patients with COVID-19. Discrimination of the score may change given continuous updates in contemporary COVID-19 management and outcomes.

Racial, Ethnic, and Sex Disparities in Patients With STEMI and Cardiogenic Shock.

OBJECTIVES: The aim of this study was to evaluate the combined impact of race, ethnicity, and sex on in-hospital outcomes using data from the National Inpatient Sample. BACKGROUND: Cardiogenic shock (CS) is a major cause of mortality following ST-segment elevation myocardial infarction (STEMI). Early revascularization reduces mortality in such patients. Mechanical circulatory support (MCS) devices are increasingly used to hemodynamically support patients during revascularization. Little is known about racial, ethnic, and sex disparities in patients with STEMI and CS. METHODS: The National Inpatient Sample was queried from January 2006 to September 2015 for hospitalizations with STEMI and CS. The associations between sex, race, ethnicity, and outcomes were examined using complex-samples multivariate logistic or generalized linear model regressions. RESULTS: Of 159,339 patients with STEMI and CS, 57,839 (36.3%) were women. In-hospital mortality was higher for all women (range 40% to 45.4%) compared with men (range 30.4% to 34.7%). Women (adjusted odds ratio [aOR]: 1.11; 95% confidence interval [CI]: 1.06 to 1.16; p < 0.001) as well as Black (aOR: 1.18; 95% CI: 1.04 to 1.34; p = 0.011) and Hispanic (aOR: 1.19; 95% CI: 1.06 to 1.33; p = 0.003) men had higher odds of in-hospital mortality compared with White men, with Hispanic women having the highest odds of in-hospital mortality (aOR: 1.46; 95% CI: 1.26 to 1.70; p < 0.001). Women were older (age: 69.8 years vs. 63.2 years), had more comorbidities, and underwent fewer invasive cardiac procedures, including revascularization, right heart catheterization, and MCS. CONCLUSIONS: There are significant racial, ethnic, and sex differences in procedural utilization and clinical outcomes in patients with STEMI and CS. Women are less likely to undergo invasive cardiac procedures, including revascularization and MCS. Women as well as Black and Hispanic patients have a higher likelihood of death compared with White men.

Mechanical Circulatory Support in High-Risk Percutaneous Coronary Intervention.

The use of mechanical circulatory devices to support high-risk elective percutaneous coronary intervention (PCI) has become more common as the group of patients considered inoperable or high risk for surgical revascularization has grown. Most of the data examining outcomes in high-risk PCI are observational and retrospective. Limited prospective randomized studies have been unable to show improved clinical outcomes with routine mechanical circulatory support (MCS) in patients with a high burden of coronary artery disease and reduced ejection fraction. The role for MCS in high-risk PCI continues to evolve as understanding of the appropriate groups for this therapy evolves.

Right Heart Strain on Presenting 12-Lead Electrocardiogram Predicts Critical Illness in COVID-19.

OBJECTIVES: This study aimed to assess the association of new right heart strain patterns on presenting 12-lead electrocardiogram (RHS-ECG) with outcomes in patients hospitalized with COVID-19. BACKGROUND: Cardiovascular comorbidities and complications, including right ventricular dysfunction, are common and are associated with worse outcomes in patients with COVID-19. The data on the clinical usefulness of the 12-lead ECG to aid with prognosis are limited. METHODS: This study retrospectively evaluated records from 480 patients who were consecutively admitted with COVID-19. ECGs obtained at presentation in the emergency department (ED) were considered index ECGs. RHS-ECG was defined by any new right-axis deviation, S1Q3T3 pattern, or ST depressions with T-wave inversions in leads V1 to V3 or leads II, III, and aVF. Multivariable logistic regression was performed to assess whether RHS-ECGs were independently associated with primary outcomes. RESULTS: ECGs from the ED were available for 314 patients who were included in the analysis. Most patients were in sinus rhythm, with sinus tachycardia being the most frequent dysrhythmia. RHS-ECG findings were present in 40 (11%) patients. RHS-ECGs were significantly associated with the incidence of adverse outcomes and an independent predictor of mortality (adjusted odds ratio [adjOR]: 15.2; 95% confidence interval [CI]: 5.1 to 45.2; p < 0.001), the need for mechanical ventilation (adjOR: 8.8; 95% CI: 3.4 to 23.2; p < 0.001), and their composite (adjOR: 12.1; 95% CI: 4.3 to 33.9]; p < 0.001). CONCLUSIONS: RHS-ECG was associated with mechanical ventilation and mortality in patients admitted with COVID-19. Special attention should be taken in patients admitted with new signs of RHS on presenting ECG.

Unprotected discharge: absence of stroke prevention strategies in patients with atrial fibrillation admitted for bleeding.

PURPOSE: Patients with atrial fibrillation or flutter (AF) on anticoagulation (AC) for stroke prevention are at an increased risk of bleeding. A common clinical dilemma is deciding when to safely restart AC following a bleed. Although studies have shown better outcomes with re-initiation of AC after hemostasis, there are clinical barriers to restarting AC. Left atrial appendage occlusion (LAAO) is a safe and efficacious alternative for patients who are unable to tolerate AC following major bleeding. We aimed to evaluate the rate of stroke prevention strategies instituted at time of discharge in patients with AF on AC who had been hospitalized for a bleeding event. METHODS: We retrospectively identified patients with AF on AC admitted for bleeding between January 2016 and August 2019. The type of AC, form of bleeding, and CHA2DS2VASc were collected. Stroke prevention strategies upon discharge and at 3 months were noted. RESULTS: One hundred seventy-four patients with AF on AC were hospitalized with a bleeding event, of which 10.9% died. Among patients who survived, AC was restarted in 45.2% of patients, 9.7% were referred for LAAO, and 45.1% were discharged without stroke prevention strategy. At 3 months, 32.6% of patients still had no documented stroke prophylaxis. Those referred for LAAO had, on average, higher CHA2DS2VASc (5 ± 1 vs 4 ± 1, p = 0.007). CONCLUSIONS: A significant number of patients with AF hospitalized for bleeding were discharged with no plan for stroke prophylaxis. Despite its safety and efficacy, LAAO appears to be an underutilized alternative in AF patients with high bleeding risk.

Cardiac Injury Patterns and Inpatient Outcomes Among Patients Admitted With COVID-19.

Although certain risk factors have been associated with increased morbidity and mortality in patients admitted with Coronavirus Disease 2019 (COVID-19), the impact of cardiac injury and high-sensitivity troponin-I (hs-cTnI) concentrations are not well described. In this large retrospective longitudinal cohort study, we analyzed the cases of 1,044 consecutively admitted patients with COVID-19 from March 9 until April 15. Cardiac injury was defined by hs-cTnI concentration >99th percentile. Patient characteristics, laboratory data, and outcomes were described in patients with cardiac injury and different hs-cTnI cut-offs. The primary outcome was mortality, and the secondary outcomes were length of stay, need for intensive care unit care or mechanical ventilation, and their different composites. The final analyzed cohort included 1,020 patients. The median age was 63 years, 511 (50% patients were female, and 403 (40% were white. 390 (38%) patients had cardiac injury on presentation. These patients were older (median age 70 years), had a higher cardiovascular disease burden, in addition to higher serum concentrations of inflammatory markers. They also exhibited an increased risk for our primary and secondary outcomes, with the risk increasing with higher hs-cTnI concentrations. Peak hs-cTnI concentrations continued to be significantly associated with mortality after a multivariate regression controlling for comorbid conditions, inflammatory markers, acute kidney injury, and acute respiratory distress syndrome. Within the same multivariate regression model, presenting hs-cTnI concentrations were not significantly associated with outcomes, and undetectable hs-cTnI concentrations on presentation did not completely rule out the risk for mechanical ventilation or death. In conclusion, cardiac injury was common in patients admitted with COVID-19. The extent of cardiac injury and peak hs-cTnI concentrations were associated with worse outcomes.

Cardiac Tamponade Secondary to COVID-19.

A 67-year-old woman presented with upper respiratory symptoms and was diagnosed with coronavirus disease-2019 (COVID-19). She was found to have a large hemorrhagic pericardial effusion with echocardiographic signs of tamponade and mild left ventricular impairment. Clinical course was complicated by development of takotsubo cardiomyopathy. She was treated with pericardiocentesis, colchicine, corticosteroids, and hydroxychloroquine, with improvement in symptoms. (Level of Difficulty: Intermediate.).

Porcelain Gallbladder: Often an Overlooked Entity.

Background Porcelain gallbladder (GB) is a rare but potentially premalignant condition with minimal symptoms. Accident and Emergency (A&E) departments often tend to investigate abdominal pain through plain radiographs, which are occasionally reported by radiologists, thereby leaving behind few uncommon conditions, such as porcelain gallbladder unreported. Objectives We present three cases of porcelain GB in which initial diagnosis was not considered due to the presence of various other calcifications in the upper abdomen. Methods In A&E, plain abdominal X-rays were routinely performed in all three patients to investigate nonspecific postprandial abdominal pain. Although GB calcification was easy to diagnose on plain films, it was initially overlooked to be a cause of the symptoms and later was diagnosed on abdominal CT scans, performed for further evaluation. Results Abdominal X-rays revealed thin curvilinear calcification in the GB wall, partially calcified neck and body, and gall stones. CT scan confirmed porcelain GB in all three patients. Conclusion Gallbladder mural calcification is a rare cause of nonspecific abdominal pain, which is often overlooked on plain abdominal X-rays causing missed diagnosis. The association of porcelain GB with adenocarcinoma entails special emphasis on timely diagnosis and prompt management.

Quantum probability ranking principle for ligand-based virtual screening.

Chemical libraries contain thousands of compounds that need screening, which increases the need for computational methods that can rank or prioritize compounds. The tools of virtual screening are widely exploited to enhance the cost effectiveness of lead drug discovery programs by ranking chemical compounds databases in decreasing probability of biological activity based upon probability ranking principle (PRP). In this paper, we developed a novel ranking approach for molecular compounds inspired by quantum mechanics, called quantum probability ranking principle (QPRP). The QPRP ranking criteria would make an attempt to draw an analogy between the physical experiment and molecular structure ranking process for 2D fingerprints in ligand based virtual screening (LBVS). The development of QPRP criteria in LBVS has employed the concepts of quantum at three different levels, firstly at representation level, this model makes an effort to develop a new framework of molecular representation by connecting the molecular compounds with mathematical quantum space. Secondly, estimate the similarity between chemical libraries and references based on quantum-based similarity searching method. Finally, rank the molecules using QPRP approach. Simulated virtual screening experiments with MDL drug data report (MDDR) data sets showed that QPRP outperformed the classical ranking principle (PRP) for molecular chemical compounds.

Adapting Document Similarity Measures for Ligand-Based Virtual Screening.

Quantifying the similarity of molecules is considered one of the major tasks in virtual screening. There are many similarity measures that have been proposed for this purpose, some of which have been derived from document and text retrieving areas as most often these similarity methods give good results in document retrieval and can achieve good results in virtual screening. In this work, we propose a similarity measure for ligand-based virtual screening, which has been derived from a text processing similarity measure. It has been adopted to be suitable for virtual screening; we called this proposed measure the Adapted Similarity Measure of Text Processing (ASMTP). For evaluating and testing the proposed ASMTP we conducted several experiments on two different benchmark datasets: the Maximum Unbiased Validation (MUV) and the MDL Drug Data Report (MDDR). The experiments have been conducted by choosing 10 reference structures from each class randomly as queries and evaluate them in the recall of cut-offs at 1% and 5%. The overall obtained results are compared with some similarity methods including the Tanimoto coefficient, which are considered to be the conventional and standard similarity coefficients for fingerprint-based similarity calculations. The achieved results show that the performance of ligand-based virtual screening is better and outperforms the Tanimoto coefficients and other methods.

A Quantum-Based Similarity Method in Virtual Screening.

One of the most widely-used techniques for ligand-based virtual screening is similarity searching. This study adopted the concepts of quantum mechanics to present as state-of-the-art similarity method of molecules inspired from quantum theory. The representation of molecular compounds in mathematical quantum space plays a vital role in the development of quantum-based similarity approach. One of the key concepts of quantum theory is the use of complex numbers. Hence, this study proposed three various techniques to embed and to re-represent the molecular compounds to correspond with complex numbers format. The quantum-based similarity method that developed in this study depending on complex pure Hilbert space of molecules called Standard Quantum-Based (SQB). The recall of retrieved active molecules were at top 1% and top 5%, and significant test is used to evaluate our proposed methods. The MDL drug data report (MDDR), maximum unbiased validation (MUV) and Directory of Useful Decoys (DUD) data sets were used for experiments and were represented by 2D fingerprints. Simulated virtual screening experiment show that the effectiveness of SQB method was significantly increased due to the role of representational power of molecular compounds in complex numbers forms compared to Tanimoto benchmark similarity measure.

Intelligent bar chart plagiarism detection in documents.

This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts.