10 research outputs found
Derivation and validation of a multivariate model to predict mortality from pulmonary embolism with cancer: The POMPE-C tool
BackgroundClinical guidelines recommend risk stratification of patients with acute pulmonary embolism (PE). Active cancer increases risk of PE and worsens prognosis, but also causes incidental PE that may be discovered during cancer staging. No quantitative decision instrument has been derived specifically for patients with active cancer and PE. Methods Classification and regression technique was used to reduce 25 variables prospectively collected from 408 patients with AC and PE. Selected variables were transformed into a logistic regression model, termed POMPE-C, and compared with the pulmonary embolism severity index (PESI) score to predict the outcome variable of death within 30 days. Validation was performed in an independent sample of 182 patients with active cancer and PE. Results POMPE-C included eight predictors: body mass, heart rate > 100, respiratory rate, SaO2%, respiratory distress, altered mental status, do not resuscitate status, and unilateral limb swelling. In the derivation set, the area under the ROC curve for POMPE-C was 0.84 (95% CI: 0.82-0.87), significantly greater than PESI (0.68, 0.60-0.76). In the validation sample, POMPE-C had an AUC of 0.86 (0.78-0.93). No patient with POMPE-C estimate ≤ 5% died within 30 days (0/50, 0-7%), whereas 10/13 (77%, 46-95%) with POMPE-C estimate > 50% died within 30 days. Conclusion In patients with active cancer and PE, POMPE-C demonstrated good prognostic accuracy for 30 day mortality and better performance than PESI. If validated in a large sample, POMPE-C may provide a quantitative basis to decide treatment options for PE discovered during cancer staging and with advanced cancer
Rapid Rule-out of Acute Myocardial Infarction With a Single High-Sensitivity Cardiac Troponin T Measurement Below the Limit of Detection: A Collaborative Meta-analysis.
Background: High-sensitivity assays for cardiac troponin T (hs-cTnT) are sometimes used to rapidly rule out acute myocardial infarction (AMI).
Purpose: To estimate the ability of a single hs-cTnT concentration below the limit of detection (<0.005 µg/L) and a nonischemic electrocardiogram (ECG) to rule out AMI in adults presenting to the emergency department (ED) with chest pain.
Data Sources: EMBASE and MEDLINE without language restrictions (1 January 2008 to 14 December 2016).
Study Selection: Cohort studies involving adults presenting to the ED with possible acute coronary syndrome in whom an ECG and hs-cTnT measurements were obtained and AMI outcomes adjudicated during initial hospitalization.
Data Extraction: Investigators of studies provided data on the number of low-risk patients (no new ischemia on ECG and hs-cTnT measurements <0.005 µg/L) and the number who had AMI during hospitalization (primary outcome) or a major adverse cardiac event (MACE) or death within 30 days (secondary outcomes), by risk classification (low or not low risk). Two independent epidemiologists rated risk of bias of studies.
Data Synthesis: Of 9241 patients in 11 cohort studies, 2825 (30.6%) were classified as low risk. Fourteen (0.5%) low-risk patients had AMI. Sensitivity of the risk classification for AMI ranged from 87.5% to 100% in individual studies. Pooled estimated sensitivity was 98.7% (95% CI, 96.6% to 99.5%). Sensitivity for 30-day MACEs ranged from 87.9% to 100%; pooled sensitivity was 98.0% (CI, 94.7% to 99.3%). No low-risk patients died.
Limitation: Few studies, variation in timing and methods of reference standard troponin tests, and heterogeneity of risk and prevalence of AMI across studies.
Conclusion: A single hs-cTnT concentration below the limit of detection in combination with a nonischemic ECG may successfully rule out AMI in patients presenting to EDs with possible emergency acute coronary syndrome.
Primary Funding Source: Emergency Care Foundation
Heart Fatty Acid Binding Protein and cardiac troponin: Development of an optimal rule-out strategy for acute myocardial infarction
10.1186/s12873-016-0089-yBMC Emergency Medicine1613
PowerPoint Slides for: Renal Function and Scaled Troponin in Patients Presenting to the Emergency Department with Symptoms of Myocardial Infarction
<p><b><i>Background:</i></b> Cardiac troponins are often found to be
elevated in patients with renal dysfunction, even in the absence of
acute myocardial injury. The objective of this report was to
characterize the scaled troponin values and proportion of adjudicated
acute myocardial infarction (AMI) among patients with and without renal
dysfunction. <b><i>Methods:</i></b> The data was from a multicenter
prospective study including patients presenting to the emergency
department with symptoms of AMI. Troponin measurements were standardized
across various assays by calculating the observed results as multiples
of the assay-specific 99th percentile upper limit of normal. Patients
with an estimated glomerular filtration rate (eGFR; calculated by the
Chronic Kidney Disease Epidemiology Collaboration formula) <60
mL/min/1.73 m<sup>2</sup> were considered to have renal dysfunction. <b><i>Results:</i></b>
Of 430 included patients, 249 (58%) were male and 181 (42%) were
female, with a mean age of 55.9 ± 12.3 and 57.3 ± 12.8 years,
respectively. Eighty-seven (20.2%) had renal dysfunction. The
proportions of patients with at least one scaled troponin value above
the 99th percentile cut-off point among patients with and without renal
dysfunction were 40 (45.9%) and 81 (23.6%) respectively (<i>p</i> <
0.001). The proportions of patients with an adjudicated diagnosis of AMI
among those with and without renal dysfunction were 20.7 and 18.7%,
respectively (<i>p</i> = 0.67). Using scaled troponins, by the second
test there was >5X and by the third test >15X separation in the
excursion of troponin among those with AMI compared to those without. <b><i>Conclusions:</i></b>
One or more elevated troponin values are common in those with renal
dysfunction. Scaled troponins for eGFR groups were similar, indicating
that the use of this interpretative technique is applicable in
discerning AMI for those with and without renal dysfunction.</p