Pulmonary Hypertension: A Nomogram Based on CT Pulmonary Angiographic Data for Prediction in Patients without Pulmonary Embolism

Aviram, Galit; Shmueli, Hezzy; Adam, Sharon Z.; Bendet, Achiude; Ziv‐Baran, Tomer; Steinvil, Arie; Berliner, Abraham S.; Nesher, Nahum; Ben‐Gal, Yanai; Topilsky, Yan

doi:10.1148/radiol.15141269

Cited by 26 publications

(24 citation statements)

References 31 publications

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“…We read with considerable interest the article by Dr Aviram and colleagues in the October 2015 issue of Radiology entitled "Pulmonary Hypertension: A Nomogram Based on CT Pulmonary Angiographic Data for Prediction in Patients without Pulmonary Embolism" (1). They showed that cardiovascular data derived from computed tomographic (CT) pulmonary angiography were associated with pulmonary hypertension (PH), and they created a nomogram based on patient age and CT pulmonary angiographic data that may facilitate identification of PH in patients who do not have acute pulmonary embolism.…”

Section: Editormentioning

confidence: 99%

“…The model is based on the patient's age and four CT-derived measurements (ie, right atrial volume, reflux grade, pulmonary artery diameter, and the ratio between the diameter of the pulmonary artery and the aorta) (1). We built this model on one cohort of patients who underwent CT pulmonary angiography This copy is for personal use only.…”

Section: Disclosures Of Conflicts Ofmentioning

confidence: 99%

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Nomogram for Predicting Pulmonary Hypertension in Patients without Pulmonary Embolism

Huang¹,

Liang²,

Liu³

2016

Radiology

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Section: Editormentioning

confidence: 99%

Section: Disclosures Of Conflicts Ofmentioning

confidence: 99%

Nomogram for Predicting Pulmonary Hypertension in Patients without Pulmonary Embolism

Huang¹,

Liang²,

Liu³

2016

Radiology

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“…The differential diagnosis for the etiologies of a small LA, however, is limited and includes acute and chronic pulmonary embolism (PE) [4,5] and chronic obstructive pulmonary disease (COPD) [6]. We have previously adopted a technology of 4-chamber volumetric analysis (4CVA) [7,8] in order to explore the cardiac chambers' size as assessed by computed tomography pulmonary angiography (CTPA) in patients with acute PE. Utilizing this software we found that among patients with acute PE a decreased LA volume was associated with an increased 30-day mortality [5].…”

Section: Introductionmentioning

confidence: 99%

Very Small Left Atrial Volume as a Marker for Mortality in Patients Undergoing Nongated Computed Tomography Pulmonary Angiography

Rozenbaum

Granot²,

Turkeltaub³

et al. 2017

Cardiology

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Objectives: To evaluate the association between very small left atria (VSLA) on nongated computed tomography pulmonary angiography (CTPA) and mortality in patients without pulmonary embolism (PE). Methods: Patients who underwent nongated CTPA between 2011 and 2015 in order to rule out PE, and had an echocardiogram within 24 h of the CTPA, were retrospectively identified. The left atrial volume of nongated CTPA was calculated using automatic 4-chamber volumetric analysis software. The association between the lowest 5th percentile of the left atrial volume index, referred to as the VSLA group, and mortality was investigated after adjustment for age, gender, background diseases, and laboratory values. Results: The study cohort included 241 patients. Patients with VSLA had a left atrial volume index <24 mL/m² (n = 11). Demographics and background diseases did not differ between the study groups. The median follow-up was 22.7 months (IQR 0.03-54.3). VSLA was an independent predictor of mortality (HR_adj = 3.6; 95% CI 1.46-8.87; p = 0.005), along with malignancy (HR_adj = 2.28; 95% CI 1.32-3.93; p = 0.003) and lower hemoglobin (HR_adj = 0.86; 95% CI 0.76-0.99; p = 0.032). Conclusions: Our findings suggest that VSLA on nongated CTPA may serve as a marker for mortality. The use of CTPA volumetric analysis can help risk stratification in patients with dyspnea and no PE.

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“…Nomograms found many applications in the reporting of binary logistic regression models (for recent examples, see [3,4]). A nomogram can not only improve insights of clinicians into the results of a logistic model, it can also be used to arrive at a predicted probability of outcome(s) of interest that is (are) tailored to the profile of an individual patient in a graphical manner.…”

Section: Introductionmentioning

confidence: 99%

A generic nomogram for multinomial prediction models: theory and guidance for construction

et al. 2017

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Background: The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous modeling of multiple outcome categories using a multinomial model often better resembles the clinical setting, where a physician typically must distinguish between more than two possible diagnoses or outcome events for an individual patient (e.g., the differential diagnosis). A disadvantage of the multinomial logistic model is that the interpretation of its results is often complex. In particular, the calculation of predicted probabilities for the various outcomes requires a series of careful calculations. Nomograms are widely used in studies reporting binary logistic regression models to facilitate the interpretation of the results and allow the calculation of the predicted probability for individuals. Methods and results:In this paper we outline an approach for deriving a generic nomogram for multinomial logistic regression models and an accompanying scoring chart that can further simplify the calculation of predicted multinomial probabilities. We illustrate the use of the nomogram and scoring chart and their interpretation using a clinical example. Conclusions:The generic multinomial nomogram and scoring chart can be used irrespective of the number of outcome categories that are present.

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Pulmonary Hypertension: A Nomogram Based on CT Pulmonary Angiographic Data for Prediction in Patients without Pulmonary Embolism

Abstract: Cardiovascular data derived from CT pulmonary angiography are associated with PH, and a nomogram can be created that may facilitate identification of PH after exclusion of acute pulmonary embolism.

Cited by 26 publications

References 31 publications

Nomogram for Predicting Pulmonary Hypertension in Patients without Pulmonary Embolism

Nomogram for Predicting Pulmonary Hypertension in Patients without Pulmonary Embolism

Very Small Left Atrial Volume as a Marker for Mortality in Patients Undergoing Nongated Computed Tomography Pulmonary Angiography

A generic nomogram for multinomial prediction models: theory and guidance for construction

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