↓ Skip to main content

Capillary pCO2 helps distinguishing idiopathic pulmonary arterial hypertension from pulmonary hypertension due to heart failure with preserved ejection fraction

Overview of attention for article published in Respiratory Research, March 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
12 X users
facebook
2 Facebook pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
52 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Capillary pCO2 helps distinguishing idiopathic pulmonary arterial hypertension from pulmonary hypertension due to heart failure with preserved ejection fraction
Published in
Respiratory Research, March 2015
DOI 10.1186/s12931-015-0194-6
Pubmed ID
Authors

Karen M Olsson, Lisa Sommer, Jan Fuge, Tobias Welte, Marius M Hoeper

Abstract

The demographics of patients with idiopathic pulmonary arterial hypertension (IPAH) are changing and this diagnosis is increasingly being made in older patients. However, diagnostic misclassifications are common as it may be difficult to differentiate between IPAH and pulmonary hypertension due to heart failure with preserved ejection fraction (PH-HFpEF). We investigated the hypothesis that the capillary pCO2 (pcCO2) may help distinguishing between idiopathic pulmonary arterial hypertension (IPAH) and pulmonary hypertension due to heart failure with preserved ejection fraction (PH-HFpEF). In a cross-sectional study, we retrospectively assessed pcCO2 levels (obtained from arterialized capillary blood at the time of diagnosis) from patients with IPAH or PH-HFpEF, respectively. Receiver operated characteristics (ROC) were used to determine the pcCO2 level providing the best discrimination between these two conditions. PcCO2 values were considered helpful if they were associated with a negative predictive value >0.9 to excluded either IPAH or PH-HFpEF. The study enrolled 185 patients, 99 with IPAH (74% female; age 47 ± 17 years; body mass index 26 ± 5 kg/m2, PAPm 53 ± 12 mmHg, PAWP 8 ± 3 mmHg), and 86 with PH-HFpEF (64% female; age 69 ± 10 years; body mass index 30 ± 6 kg/m2, PAPm 47 ± 10 mmHg, PAWP 21 ± 5 mmHg). PcCO2 at time of diagnosis was 33 ± 4 mmHg in the IPAH group and 40 ± 5 mmHg in the PH-HFpEF group (p < 0.001), respectively. According to ROC analysis, a pcCO2 of 36 mmHg was the best discriminator between both entities with an area under curve of 0.87 (p < 0.001). The likelihood of PH-HFpEF was <10% in patients with a PcCO2 < 34 mmHg, whereas the likelihood of IPAH was <10% in patients with a PcCO2 > 41 mmHg. PcCO2 levels were significantly lower in IPAH compared to PH-HFpEF and may provide useful information in differentiating between both conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Australia 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 15%
Student > Ph. D. Student 7 13%
Researcher 6 12%
Student > Postgraduate 5 10%
Other 3 6%
Other 7 13%
Unknown 16 31%
Readers by discipline Count As %
Medicine and Dentistry 23 44%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 1 2%
Computer Science 1 2%
Unknown 24 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2015.
All research outputs
#4,204,129
of 25,718,113 outputs
Outputs from Respiratory Research
#522
of 3,103 outputs
Outputs of similar age
#48,911
of 275,204 outputs
Outputs of similar age from Respiratory Research
#10
of 49 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,103 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,204 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.