Use of the National Early Warning Score for predicting deterioration of patients with acute pulmonary embolism: a post-hoc analysis of the YEARS Study

Standardized Data Elements for Patients With Acute Pulmonary Embolism: A Consensus Report From the Pulmonary Embolism Research Collaborative

Recent advances in therapy and the promulgation of multidisciplinary pulmonary embolism teams show great promise to improve management and outcomes of acute pulmonary embolism (PE). However, the absence of randomized evidence and lack of consensus leads to tremendous variations in treatment and compromises the wide implementation of new innovations. Moreover, the changing landscape of health care, where quality, cost, and accountability are increasingly relevant, dictates that a broad spectrum of outcomes of care must be routinely monitored to fully capture the impact of modern PE treatment. We set out to standardize data collection in patients with PE undergoing evaluation and treatment, and thus establish the foundation for an expanding evidence base that will address gaps in evidence and inform future care for acute PE. To do so, >100 international PE thought leaders convened in Washington, DC, in April 2022 to form the Pulmonary Embolism Research Collaborative. Participants included physician experts, key members of the US Food and Drug Administration, patient representatives, and industry leaders. Recognizing the multidisciplinary nature of PE care, the Pulmonary Embolism Research Collaborative was created with representative experts from stakeholder medical subspecialties, including cardiology, pulmonology, vascular medicine, critical care, hematology, cardiac surgery, emergency medicine, hospital medicine, and pharmacology. A list of critical evidence gaps was composed with a matching comprehensive set of standardized data elements; these data points will provide a foundation for productive research, knowledge enhancement, and advancement of clinical care within the field of acute PE, and contribute to answering urgent unmet needs in PE management. Evidence produced through the Pulmonary Embolism Research Collaborative, as it is applied to data collection, promises to provide crucial knowledge that will ultimately produce a robust evidence base that will lead to standardization and harmonization of PE management and improved outcomes.

The prognostic value of HALP score and sPESI in predicting in-hospital mortality in patients with pulmonary thromboembolism

BACKGROUND

Pulmonary thromboembolism (PTE), often arising from deep vein thrombosis, remains a high-mortality condition despite diagnostic advancements. Prognostic models like Pulmonary Embolism Severity Index (PESI) and sPESI identify low-risk groups effectively. The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score, reflecting nutritional status and systemic inflammation, shows prognostic value in cancers and cardiovascular diseases. This study examines the relationship between in-hospital mortality HALP score and simplified PESI (sPESI) in PTE patients.

METHODS

This retrospective observational study included patients diagnosed with PTE in the emergency department of a tertiary medical faculty from 2018 to 2023. PTE diagnosis was confirmed via computed tomography pulmonary angiography. Data on transthoracic echocardiography, D-dimer levels, demographics, laboratory results, PESI, sPESI, and HALP scores, and in-hospital mortality were collected.

RESULTS

In this study, clinical characteristics of 171 patients with PTE were analysed. The average age was 61.88 ± 19.94 years, and 53.2% were female. Mortality was observed in 19.3% of patients. PESI and sPESI scores were significant predictors of mortality, with area under the curve values of 0.938 and 0.879, respectively. PESI score > 175.50 indicated a significantly higher mortality risk (HR = 18.208; P < .001), while sPESI >2.50 was also a strong predictor (HR = 11.840; P < .001). No significant cut-off value for HALP in predicting mortality was identified.

CONCLUSIONS

Our study supports the reliability of sPESI and PESI scores in predicting in-hospital mortality in PTE patients. However, the prognostic value of the HALP score requires further investigation. Our findings highlight the need for developing risk stratification models. Key message What is already known on this topic?  The PESI and sPESI scores are established prognostic models that effectively identify low-risk groups in patients with PTE. The HALP score, reflecting nutritional status and systemic inflammation, has shown prognostic value in cancer and cardiovascular diseases. What this study adds?  This study demonstrates that while PESI and sPESI scores are significant predictors of in-hospital mortality in PTE patients, the HALP score does not have a significant cut-off value for predicting mortality. How this study might affect research, practice, or policy?  The findings support the continued use of PESI and sPESI scores for risk stratification in clinical practice, potentially influencing guidelines and policies on managing PTE. Further research into the HALP score's role in other contexts may refine its prognostic utility.

Expanding outpatient management of low-risk pulmonary embolism to the pregnant population: a case series

Background

Outpatient treatment of pregnant patients with acute pulmonary embolism (PE) is recommended by some obstetric and haematology societies but has not been described in the literature. Little is known about patient selection and clinical outcomes.

Case summary

We report two cases of pregnant patients diagnosed with acute PE. The first, at 9 weeks of gestational age, presented to the emergency department with 12 h of pleuritic chest pain and was diagnosed with segmental PE. She was normotensive and tachycardic without evidence of right ventricular dysfunction. She received multispecialty evaluation, was deemed suitable for outpatient management, and, after 12 h of monitoring, was discharged home on enoxaparin with close follow-up. The second case, at 30 weeks of gestational age, presented to obstetrics clinic with 3 days of dyspnoea. Vital signs were normal except for tachycardia. She was referred to labour and delivery, where she was diagnosed with segmental PE. Her vital signs were stable, and she had no evidence of right ventricular dysfunction. After 6 h of monitoring, she was discharged home on enoxaparin with close follow-up. Neither patient developed antenatal complications from their PE or its treatment.

Discussion

This case series is the first to our knowledge to describe patient and treatment characteristics of pregnant patients with acute PE cared for as outpatients. We propose a definition for this phenomenon and discuss the benefits of and provisional selection criteria for outpatient PE management, while engaging with professional society guidelines and the literature. This understudied practice warrants further research.

Optimal hemodynamic parameters for risk stratification in acute pulmonary embolism patients

Hemodynamic assessment of patients with pulmonary embolism (PE) remains a fundamental component of early risk stratification that in turn, influences subsequent monitoring and therapeutic strategies. The current body of literature and international evidence-based clinical practice guidelines focus mainly on the use of systolic blood pressure (SBP). The accuracy of this single hemodynamic parameter, however, and its optimal values for the identification of hemodynamic instability have been recently questioned by clinicians. For example, abnormal SBP or shock index may be a late indicator of adverse outcomes, signaling a patient in whom the cascade of hemodynamic compromise is already well underway. The aim of the present article is to review the current evidence supporting the use of SBP and analyze the potential integration of other parameters to assess the hemodynamic stability, impending clinical deterioration, and guide the reperfusion treatment in patients with PE, as well as to suggest potential strategies to further investigate this issue.

The timing of death in acute pulmonary embolism patients regarding the mortality risk stratification at admission to the hospital

Background

The management of patients with acute pulmonary embolism (aPE) depends on the severity of aPE. The timing of death in various aPE risk subgroups is only partially known.

Methods

1618 patients with an objectively established aPE diagnosis with computed tomography pulmonary angiography enrolled in the regional PE registry were included in the study. According to ESC criteria, patients were stratified at admission to the hospital in four risk strata. The timing of PE-related and non-PE-related deaths was analyzed regarding mortality risk.

Results

PE-related, and non-PE-related hospital death rates were 1.1 % and 1.5 % in low, 1.1 % and 4.8 % in intermediate-low, 8.1 % and 5.9 % in intermediate-high, and 27.7 % and 6.9 % in high-risk groups, respectively. The median time of PE-related and non-PE-related death across the PE mortality risk were: 4 (1.7-7.5) and 7.0 (4-14.7) days in low, 1.5 (1.0-9.5) and 11.5 (2.0-21.0) days in intermediate-low, 4.0 (2.0-9.0) and 9.0 (5.7-18.2) days in intermediate-high, 2.0 (1.0-4.75) and 7.0 (3.0-21.2) days in high-risk subgroups. 48.2 % and 17.1 % of patients who died in the high and intermediate-high risks died during the first hospital day. After the 6th hospitalization day, PE-related deaths were recorded in 43.9 % of deaths from intermediate-high and 17.9 % from high-risk subgroups.

Conclusion

PE-related mortality is prominent on the first hospitalization day in high and intermediate-high-risk PE. A substantial proportion of intermediate-high and high-risk patient's PE deaths occurred after the first 6 days of hospitalization.

National Early Warning Score-2 for Identification of Patients with Intermediate-High-Risk Pulmonary Embolism

Consensus statements have proposed the use of the National Early Warning Score 2 (NEWS2) to identify stable patients with acute pulmonary embolism (PE) and an intermediate-high risk of adverse outcomes. We aimed to externally validate NEWS2 and compare it to another predictive score (Bova). Using NEWS2 (cutoff ≥5 and ≥7) and the Bova score (cutoff >4), we classified patients as intermediate-high risk (vs. non-intermediate-high risk), and we compared the test characteristics of these risk classification tools for a complicated course within 30 days after PE diagnosis. We also assessed the validity of NEWS2 for predicting a complicated course by adding the results of echocardiography and troponin testing to the model. Of the 848 enrolled patients, the NEWS2 score ≥5 classified 471 (55.5%) and the Bova score classified 37 (4.4%) as intermediate-high risk. NEWS2 had a significantly lower specificity for a 30-day complicated course than Bova (45.4 vs. 96.3%, respectively; p < 0.001). Using the higher score threshold (≥7), the NEWS2 classified 99 (11.7%) as intermediate-high risk, and the specificity was 88.9% (difference with Bova, 7.4%; p < 0.001). The proportion of patients with intermediate-high risk PE was 2.4% for the combination of a positive troponin testing and echocardiographic right ventricle dysfunction and a positive NEWS2 (score ≥7), while the specificity was 97.8% (difference with Bova, 1.5%; p = 0.07). Bova outperforms NEWS2 for predicting a complicated course among stable patients with PE. Addition of troponin testing and echocardiography improved the specificity of NEWS2, although it was not superior to Bova. CLINICALTRIALS.GOV NUMBER: : NCT02238639.

Predictive Ability of the National Early Warning Score in Mortality Prediction of Acute Pulmonary Embolism in the Southeast Asian Population

BACKGROUND

The National Early Warning Scores (NEWS) easily and objectively measures acute clinical deterioration. However, the performance of NEWS to predict mortality in patients with acute pulmonary embolism (APE) is still required. Therefore, the objective of this study was to evaluate the performance of the NEWS in predicting the mortality of patients with APE.

METHODS

NEWS and Pulmonary Embolism Severity Index (PESI) at diagnosis time were calculated. Risk regression analysis was performed to identify the NEWS and PESI risk classification as a predictor for 30 days all-cause mortality and PE-related mortality.

RESULTS

NEWS was significantly higher in non-survivors compared to survivors (median (IQR) was 10 (7, 11) vs. 7 (2, 9), respectively, p < 0.001). The best cut-off point of NEWS in discriminating APE patients who non-survived from those who survived at 30 days was ≥9, with a sensitivity and specificity of 66.9% and 66.3%, respectively. The adjusted risk ratio of 30-day all-cause mortality in patients with initial NEWS ≥ 9 was 2.96 (95% CI; 2.13, 4.12, p < 0.001).

CONCLUSIONS

The NEWS can be used for mortality prediction in patients with APE. APE patients with NEWS ≥ 9 are associated with a high risk of mortality and should be closely monitored.

Predictive Model for Pulmonary Embolism in Pregnant and Postpartum Women: A 10-Year Retrospective Study

Background: Pulmonary embolism (PE) in pregnant and postpartum women is fatal, and risk assessment is crucial for effective and safe management, the aim of this retrospective study was to establish a nomogram for predicting the risk of PE in pregnant and postpartum women. Methods: Totally 343 subjects suspected of PE at the Obstetrics Department of Affiliated Dongyang Hospital of Wenzhou Medical University from January 2012 to December 2021 were retrospective analyzed in our study. Pregnant women suspected of PE and who underwent computed tomographic pulmonary angiography examination were included in the study. The least absolute shrinkage and selection operator regression technique was used to select the best prediction features, and multivariate logistic regression is used to build the prediction model. Bootstrap resampling 1000 times was used to validate the model visualized by nomogram. Evaluate the performance of the model from three aspects: identification, calibration and clinical utility. Results: Our predictive model indicated that chest tightness, anhelation, lactate, and D-dimer were associated with PE. The area under the receiver operating characteristic curve of the model was 0.836 (95% CI: [0.770-0.902]), indicating that our model had a good differential diagnostic performance. Good consistency between prediction and real observation was presented as the calibration curve. Decision curve analysis indicated that our model had a good net clinical benefit. Conclusions: We developed a novel numerical model for selecting risk factors for PE in pregnant and postpartum women. Our results may help obstetricians and gynaecologists to develop individualized treatment plans and PE prevention strategies.