The addition of echocardiographic parameters to PESI risk score improves mortality prediction in patients with acute pulmonary embolism: PESI-Echo score

IL-33/sST2 signaling pathway in pulmonary thromboembolism: A clinical observational study

BACKGROUND

Pulmonary thromboembolism (PTE) is a cardiovascular emergency that can result in mortality. In the interleukin-33 (IL-33) /soluble suppression of tumorigenicity 2 (sST2) signaling pathway, increased sST2 is a cardiovascular risk factor. This study aimed to investigate the effectiveness of biomarkers in the IL-33/sST2 signaling pathway in determining PTE diagnosis, clinical severity, and mortality.

METHOD

This study was conducted as a single-center, prospective, observational study. Patients admitted to the emergency department and diagnosed with PTE constituted the patient group (n = 112), and healthy volunteers with similar sociodemographic characteristics constituted the control group (n = 62). Biomarkers in the IL-33/sST2 signaling pathway were evaluated for diagnosis, clinical severity, and prognosis.

RESULTS

IL-33 was lower in the patient group than in the control group (275.89 versus 403.35 pg/mL), while sST2 levels were higher in the patient group than in the control group (53.16 versus 11.78 ng/mL) (p < 0.001 and p = 0.001; respectively). The AUC of IL-33 to diagnose PTE was 0.656 (95 % CI: 0.580-0.726). The optimal IL-33 cut-off point to diagnose PTE was ≤304.11 pg/mL (56.2 % sensitivity, 79 % specificity). The AUC of sST2 to diagnose PTE was 0.818 (95 % CI: 0.752-0.872). The optimal sST2 cut-off point to diagnose PTE was >14.48 ng/mL (83 % sensitivity, 71 % specificity). IL-33 levels were lower in patients with mortality (169.85 versus 332.04 pg/mL) compared to patients without mortality, whereas sST2 levels were higher in patients with mortality (118.32 versus 28.07 ng/mL) compared to patients without mortality (p > 0.001 for both). The AUC of IL-33 to predict the mortality of PTE was 0.801 (95 % CI: 0.715-0.870). The optimal IL-33 cut-off point to predict the mortality of PTE was ≤212.05 pg/mL (75 % sensitivity, 79.5 % specificity). The AUC of sST2 to predict the mortality of PTE was 0.824 (95 % CI: 0.740-0.889). The optimal sST2 cut-off point to predict the mortality of PTE was >81 ng/mL (95.8 % sensitivity, 78.4 % specificity).

CONCLUSION

In the IL-33/ST2 signaling pathway, decreased IL-33 and increased sST2 are valuable biomarkers for diagnosis and prediction of mortality in patients with PTE.

Diagnosis of Pulmonary Embolism: A Review of Evidence-Based Approaches

Venous thromboembolism, commonly presented as pulmonary embolism and deep-vein thrombosis, is a paramount and potentially fatal condition with variable clinical presentation. Diagnosis is key to providing appropriate treatment in a safe and timely fashion. Clinical judgment and assessment using clinical scoring systems should guide diagnostic testing, including laboratory and imaging modalities, for optimal results and to avoid unnecessary testing.

Ultrasound Rounds: Intraoperative Point-of-Care Ultrasound Identifies Intracardiac Thrombus and Pulmonary Embolism Allowing for Alteration in Surgical Management

Most of the cases demonstrating describing acute findings using point-of-care ultrasound (POCUS) have been described in emergency medicine and critical care medicine. While the use of POCUS has become more prevalent in anesthesia practice, documentation of acute findings resulting in alteration in management based on real-time ultrasound findings during pediatric anesthesia remains limited. This case highlights the use of POCUS during cardiopulmonary collapse occurring during correction of neuromuscular scoliosis. POCUS excluded the presumed diagnosis of venous air embolism and identified an intracardiac thrombus leading to the diagnosis and treatment of pulmonary embolism.

Acute pulmonary embolism: Diagnosis and management

Acute pulmonary embolism (PE) can present with non-specific signs and symptoms and thus the diagnosis and management might not be as straightforward. This review outlines the new PE management guidelines in the Indian context. The exact prevalence in the Indian population is not well defined; despite recent studies suggesting an increasing trend in the Asian population. A delay in treatment can be fatal, especially in massive PE. The nuances associated with stratification and management have led to heterogeneity in acute PE management. The purpose of the review is. 1: To highlight the principles of stratification, diagnosis and management of acute PE with a special attention towards the Indian population. 2: To aid patient selection for newer catheter based therapies. To conclude, formulation of pulmonary embolism guidelines in the Indian setting is required underlying the role of further research in this area.

[Pulmonary embolism: the Pulmonary Embolism Severity Index (PESI) score and mortality predictors]

Introduction

pulmonary embolism is a real public health problem because of its high morbidity and mortality rate. The purpose of this study is to evaluate the impact of PESI score on the prognosis of pulmonary embolism.

Methods

we conducted a retrospective study of 146 cases of formally confirmed embolism. Pulmonary embolism severity index (PESI) score was calculated for the entire study population. The patients were divided into 2 groups: a low-risk group (LR) comprising patients in risk classes I and II: 83 patients; a high-risk group (HR) comprising patients in risk classes III, IV and V: 63 patients; the primary endpoint of the study (MACE) was the occurrence of shock, the need for mechanical ventilation, and the occurrence of in-hospital death.

Results

total in-hospital mortality was 15.1%, significantly higher in the HR group (25.4% versus 7.2%, p=0.001). In logistic regression analysis, being in the HR group (OR=5.1; 95% CI: [1,637 - 16,093]; p=0.005)) and having renal impairment (OR=4.5; 95% CI: [1.457 - 14.075]; p=0.009) were the independent factors for the occurrence of MACE. After a mean follow-up of 18 ± 8 months, there were more deaths in the HR group (68.4% versus 33%, p=0.004).

Conclusion

the results of our study show that the PESI score is correlated with the severity of PE. This should encourage the widespread use of this risk score.

Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models

Background

Pulmonary thromboembolism (PE) is the third leading cause of cardiovascular events. The conventional modeling methods and severity risk scores lack multiple laboratories, paraclinical and imaging data. Data science and machine learning (ML) based prediction models may help better predict outcomes.

Materials and methods

In this retrospective registry-based design, all consecutive hospitalized patients diagnosed with pulmonary thromboembolism (based on pulmonary CT angiography) from 2011 to 2019 were recruited. ML based algorithms [Gradient Boosting (GB) and Deep Learning (DL)] were applied and compared with logistic regression (LR) to predict hemodynamic instability and/or all-cause mortality.

Results

A total number of 1,017 patients were finally enrolled in the study, including 465 women and 552 men. Overall incidence of study main endpoint was 9.6%, (7.2% in men and 12.4% in women; p-value = 0.05). The overall performance of the GB model is better than the other two models (AUC: 0.94 for GB vs. 0.88 and 0.90 for DL and LR models respectively). Based on GB model, lower O2 saturation and right ventricle dilation and dysfunction were among the strongest adverse event predictors.

Conclusion

ML-based models have notable prediction ability in PE patients. These algorithms may help physicians to detect high-risk patients earlier and take appropriate preventive measures.

Derivation and Validation of a Prognostic Model for Mortality in Chinese Patients with Acute Pulmonary Embolism

INTRODUCTION

We aim to explore the risk factors for in-hospital mortality and to derive a prognostic model for patients with APE in China.

MATERIALS AND METHODS

Inpatients with APE were enrolled from West China Hospital between January 2016 and December 2019. Logistic regression analyses were used to explore risk factors for in-hospital mortality and develop a prognostic model.

RESULTS

A total of 813 subjects with APE were included in this study, of whom 542 were in the training set and 271 were in the test set. Multivariable regression analyses indicated that age, male, heart rate, systolic blood pressure, elevated NT-proBNP or troponin T, malignancy, chronic renal insufficiency, and respiratory failure were independent risk factors for in-hospital mortality. For the training set, the area under the curve (AUC) of the ROC curve was 0.899, with a sensitivity and specificity of 89.7% and 77.7%, respectively. The model had higher prediction accuracy than the PESI and sPESI.

CONCLUSIONS

The prediction model has proven excellent discrimination and calibration, which may be a useful tool to help physicians make decisions regarding the best treatment strategy.

Left Ventricle Outflow Tract Velocity-Time Index and Right Ventricle to Left Ventricle Ratio as Predictors for in Hospital Outcome in Intermediate-Risk Pulmonary Embolism

Accurate estimation of risk with both imaging and biochemical parameters in intermediate risk pulmonary embolism (PE) remains challenging. The aim of the study was to evaluate echocardiographic parameters that reflect right and left heart hemodynamic as predictors of adverse events in intermediate risk PE. This was a retrospective observational study on patients with computed tomography pulmonary angiography diagnosis of PE admitted at Cardiology department of the Clinical Emergency Hospital of Oradea, Romania between January 2018—December 2021. Echocardiographic parameters obtained at admission were studied as predictors of in hospital adverse events. The following adverse outcomes were registered: death, resuscitated cardiac arrest, hemodynamic deterioration and need of rescue thrombolysis. An adverse outcome was present in 50 patients (12.62%). PE related death was registered in 17 patients (4.3%), resuscitated cardiac arrest occurred in 6 patients (1.51%). Another 20 patients (5.05%) required escalation of therapy with thrombolysis and 7 (1.76%) patients developed haemodynamic instability. Echocardiographic independent predictors for in hospital adverse outcome were RV/LV ≥ 1 (HR = 3.599, 95% CI 1.378−9.400, p = 0.009) and VTI ≤ 15 mm (HR = 11.711, 95% CI 4.336−31.633, p < 0.001). The receiver operator curve renders an area under curve for LVOT VTI ≤ 15 mm of 0.792 (95% CI 0.719−0.864, p < 0.001) and for a RV/LV ≥ 1 of 0.746 (95% CI 0.671−0.821, p < 0.001). A combined criterion (LVOT VTI ≤ 15 and RV/LV ≥ 1) showed a positive predictive value of 75% and a negative predictive value of 95% regarding in hospital adverse outcomes. Low LVOT VTI and increased RV/LV are useful for identifying normotensive patients with PE at risk for short term adverse outcomes. Combining an LVOT VTI ≤ 15 cm with a RV/LV ≥ 1 can identify with increased accuracy PE patients with impending risk of clinical deterioration.

Predictors of use of direct oral anticoagulants in acute pulmonary embolism

INTRODUCTION

In the last decade, direct oral anticoagulants (DOACs) have been incorporated as an anticoagulation tool in patients with acute pulmonary thromboembolism (PTE). Although they have a better pharmacological profile than vitamin K antagonists (VKA), the use of these drugs is not massive. The objective of this study was to evaluate the use of DOACs in patients with acute PE and to detect determinants of its use.

METHODOLOGY

Prespecified analysis of the CONAREC XX registry that included patients with acute PE in 64 centers in Argentina. An analysis was performed to detect predictors of DOAC prescription at discharge.

RESULTS

579 patients who received anticoagulation at hospital discharge were analyzed: 60% received VKA, 21% heparin and 19% DOAC (of them, 49% Rivaroxaban, 34% Apixaban, and 17% Dabigatran). Patients receiving DOACs had less severe PE, lower risk of bleeding, and fewer in-hospital complications. At 30-day follow-up, there were no differences in all-cause mortality or bleeding. Health coverage by social insurance (OR 7.45, CI 95% 1.74-31.9, p < 0.01) or by private coverage (OR 10.5, CI 95% 2.4-45.9, p < 0.01) were independent predictors of DOAC prescription at discharge, and history of heart failure (OR 0.19, 95% CI 0.04-0.84, p = 0.028) and oncological disease (OR 0.49, 95% CI 0.27-0.89; p = 0.02) were predictors not prescribe them.

CONCLUSIONS

One in five survivors of acute PE received DOACs at hospital discharge in Argentina, and this was determined by clinical and economic variables.

Differences in clinical and echocardiographic variables and mortality predictors among older patients with pulmonary embolism

BACKGROUND

An increase in short-term mortality can be found among older patients with hemodynamically stable acute pulmonary embolism (APE) who have signs of right ventricular (RV) dysfunction.

AIMS

This study was designed to assess whether any difference exists among clinical, laboratory, electrocardiography and echocardiography parameters between older and younger patients diagnosed with APE.

METHODS

The study sample included a total of 635 patients with confirmed APE who were divided into two groups of older (65 years and older) and younger (younger than 65 years) individuals. Comparisons were performed between these groups in terms of clinical, predisposing factors and laboratory, electrocardiographic and echocardiographic parameters.

RESULTS

Analyses of 295 (46.4%) older and 340 (53.6%) younger patients diagnosed with APE were performed. Female sex, Pulmonary Embolism Severity Index score and baseline creatinine levels were higher in the older group. Also, the frequency of atrial fibrillation, RV outflow tract parasternal long-axis proximal diameter, RV end-diastolic diameter (RV-EDD) basal (apical four-chamber) and RV systolic pressure were significantly greater in older patients with APE. A total of 30 (4.7%) deaths were observed during the in-hospital period [21 (7.1%) older vs 9 (2.6%) younger patients; p < 0.01]. In the multivariate logistic regression analysis, age, white blood cell count (WBC), left ventricular ejection fraction (LVEF), RV-EDD basal and tricuspid annular plane systolic excursion (TAPSE) of less than 16 mm were found to be independently associated with in-hospital mortality.

CONCLUSION

Older patients might experience greater rates of RV dilatation, RV dysfunction and atrial fibrillation during APE. In addition to age; elevated WBC, low LVEF, increased RV-EDD basal and TAPSE of less than 16 mm were independent predictors of mortality among study population.