Evidence map›Paper›PMID 24944522›Full record

Observational studyBMC anesthesiology2014

Transcranial Doppler to assess sepsis-associated encephalopathy in critically ill patients.

Charalampos Pierrakos, Rachid Attou, Laurence Decorte, Athanasios Kolyviras, Stefano Malinverni, Philippe Gottignies, Jacques Devriendt, David De Bels

Abstract readObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
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

8 authors.

Charalampos PierrakosDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.
Rachid AttouDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.
Laurence DecorteDepartments of Geriatrics, Brugmann University Hospital, Université Libre de Bruxelles, Bruxelles, Belgium.
Athanasios KolyvirasDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.
Stefano MalinverniDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.
Philippe GottigniesDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.
Jacques DevriendtDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.
David De BelsDepartments of Intensive Care, Brugmann University Hospital, Université Libre de Bruxelles, Place Van Gehuchten 4, 1020 Bruxelles, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTranscranial Doppler can detect cerebral perfusion alteration in septic patients. We correlate static Transcranial Doppler findings with clinical signs of sepsis-associated encephalopathy.

methodsForty septic patients were examined with Transcranial Doppler on the first and third day of sepsis diagnosis. The pulsatility index (PI) and cerebral blood flow index (CBFi) were calculated by blood velocity in the middle cerebral artery (cm/sec). Patients underwent a daily cognitive assessment with the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) test.

resultsTwenty-one patients (55%) were found to present confusion. The majority of the patients presented a PI > 1.1 (76%). PI on the first day (but not the third day) could predict a positive CAM-ICU test in septic patients (PI cut-off: 1.3, AUC: 0.905, p < 0.01, sensitivity: 95%, specificity: 88%, AUC: 0.618, p = 0.24). Multivariable analysis showed that PI on the first day is related to a positive CAM-ICU test independent of age and APACHE II score (OR: 5.6, 95% CI: 1.1-29, p = 0.03). A decrease of the PI on the third day was observed in the group that presented initially high PI (>1.3) (2.2 ± 0.71 vs. 1.81 ± 0.64; p = 0.02). On the other hand, an increase in PI was observed in the other patients (1.01 ± 0.15 vs. 1.58 ± 0.57; p < 0.01). On only the first day, the mean blood velocity in the middle cerebral artery and CBFi were found to be lower in those patients with a high initial PI (36 ± 21 vs. 62 ± 28 cm/sec; p < 0.01, 328 ± 101 vs. 581 ± 108; p < 0.01, respectively).

conclusionsCerebral perfusion disturbance observed with Transcranial Doppler could explain clinical symptoms of sepsis-associated encephalopathy.

Indexed as

AgedAged, 80 and overBlood Flow VelocityCerebrovascular CirculationConfusionCritical IllnessHumansIntensive Care UnitsMiddle AgedMiddle Cerebral ArteryMultivariate AnalysisProspective StudiesSepsis-Associated EncephalopathyUltrasonography, Doppler, Transcranial

Identifiers

PMID24944522
PMCPMC4061318

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.