Evidence map›Paper›PMID 29040264›Full record

Observational studyPloS one2017

Comparison of pulmonary vascular permeability index PVPI and global ejection fraction GEF derived from jugular and femoral indicator injection using the PiCCO-2 device: A prospective observational study.

Wolfgang Huber, Andrea Gruber, Maximilian Eckmann, Felicia Elkmann, Ines Klein, Tobias Lahmer, Ulrich Mayr, Raphael Schellnegger, Jochen Schneider, Gonzalo Batres-Baires and 5 more

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Review
  3. Observational
  4. Observational
  5. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 1 institution in 1 country.

Wolfgang HuberMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Andrea GruberMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Maximilian EckmannMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Felicia ElkmannMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Ines KleinMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Tobias LahmerMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Ulrich MayrMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Raphael SchellneggerMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Jochen SchneiderMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Gonzalo Batres-BairesMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Lisa FekecsMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Analena BeitzMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Helena BerbaraMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Roland SchmidMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Alexander HernerMedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, München, Germany.
Klinikum rechts der Isar · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranspulmonary thermodilution (TPTD) is used to derive cardiac output CO, global end-diastolic volume GEDV and extravascular lung water EVLW. To facilitate interpretation of these data, several ratios have been developed, including pulmonary vascular permeability index (defined as EVLW/(0.25*GEDV)) and global ejection fraction ((4*stroke volume)/GEDV). PVPI and GEF have been associated to the aetiology of pulmonary oedema and systolic cardiac function, respectively. Several studies demonstrated that the use of femoral venous access results in a marked overestimation of GEDV. This also falsely reduces PVPI and GEF. One of these studies suggested a correction formula for femoral venous access that markedly reduced the bias for GEDV. Consequently, the last PiCCO-algorithm requires information about the CVC, and correction for femoral access has been shown. However, two recent studies demonstrated inconsistencies of the last PiCCO algorithm using incorrected GEDV for PVPI, but corrected GEDV for GEF. Nevertheless, these studies were based on mathematical analyses of data displayed in a total of 15 patients equipped with only a femoral, but not with a jugular CVC. Therefore, this study compared PVPI_fem and GEF_fem derived from femoral TPTD to values derived from jugular indicator injection in 25 patients with both jugular and femoral CVCs.

methods54 datasets in 25 patients were recorded. Each dataset consisted of three triplicate TPTDs using the jugular venous access as the gold standard and the femoral access with (PVPI_fem_cor) and without (PVPI_fem_uncor) information about the femoral indicator injection to evaluate, if correction for femoral GEDV pertains to PVPI_fem and GEF_fem.

resultsPVPI_fem_uncor was significantly lower than PVPI_jug (1.48±0.47 vs. 1.84±0.53; p<0.001). Similarly, PVPI_fem_cor was significantly lower than PVPI_jug (1.49±0.46 vs. 1.84±0.53; p<0.001). This is explained by the finding that PVPI_fem_uncor was not different to PVPI_fem_cor (1.48±0.47 vs. 1.49±0.46; n.s.). This clearly suggests that correction for femoral CVC does not pertain to PVPI. GEF_fem_uncor was significantly lower than GEF_jug (20.6±5.1% vs. 25.0±6.1%; p<0.001). By contrast, GEF_fem_cor was not different to GEF_jug (25.6±5.8% vs. 25.0±6.1%; n.s.). Furthermore, GEF_fem_cor was significantly higher than GEF_fem_uncor (25.6±5.8% vs. 20.6±5.1%; p<0.001). This finding emphasizes that an appropriate correction for femoral CVC is applied to GEF_fem_cor. The extent of the correction (25.5/20.6; 124%) for GEF and the relation of PVPI_jug/PVPI_fem_uncor (1.84/1.48; 124%) are in the same range as the ratio of GEDVI_fem_uncor/GEDVI_fem_cor (1056ml/m2/821mL/m2; 129%). This further emphasizes that GEF, but not PVPI is corrected in case of femoral indicator injection.

conclusionsFemoral indicator injection for TPTD results in significantly lower values for PVPI and GEF. While the last PiCCO algorithm appropriately corrects GEF, the correction is not applied to PVPI. Therefore, GEF-values can be used in case of femoral CVC, but PVPI-values are substantially underestimated.

Indexed as

Capillary PermeabilityCardiac OutputStroke VolumeAgedCatheterization, Central VenousContrast MediaExtravascular Lung WaterFemaleFemoral VeinHeartHumansInjections, IntravenousIntensive Care UnitsJugular VeinsLiver CirrhosisLungContrast Media

Identifiers

PMID29040264
PMCPMC5644983
OpenAlexW2766416240

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.