Intensive Care Medicine

, Volume 35, Issue 7, pp 1225–1233 | Cite as

Arterial blood pressure during early sepsis and outcome

  • Martin W. DünserEmail author
  • Jukka Takala
  • Hanno Ulmer
  • Viktoria D. Mayr
  • Günter Luckner
  • Stefan Jochberger
  • Fritz Daudel
  • Philipp Lepper
  • Walter R. Hasibeder
  • Stephan M. Jakob



To evaluate the association between arterial blood pressure (ABP) during the first 24 h and mortality in sepsis.


Retrospective cohort study.


Multidisciplinary intensive care unit (ICU).

Patients and participants

A total of 274 septic patients.



Measurements and results

Hemodynamic, and laboratory parameters were extracted from a PDMS database. The hourly time integral of ABP drops below clinically relevant systolic arterial pressure (SAP), mean arterial pressure (MAP), and mean perfusion pressure (MPP = MAP − central venous pressure) levels was calculated for the first 24 h after ICU admission and compared with 28-day-mortality. Binary and linear regression models (adjusted for SAPS II as a measure of disease severity), and a receiver operating characteristic (ROC) analysis were applied. The areas under the ROC curve were largest for the hourly time integrals of ABP drops below MAP 60 mmHg (0.779 vs. 0.764 for ABP drops below MAP 55 mmHg; P ≤ 0.01) and MPP 45 mmHg. No association between the hourly time integrals of ABP drops below certain SAP levels and mortality was detected. One or more episodes of MAP < 60 mmHg increased the risk of death by 2.96 (CI 95%, 1.06–10.36, = 0.04). The area under the ROC curve to predict the need for renal replacement therapy was highest for the hourly time integral of ABP drops below MAP 75 mmHg.


A MAP level ≥ 60 mmHg may be as safe as higher MAP levels during the first 24 h of ICU therapy in septic patients. A higher MAP may be required to maintain kidney function.


Hypotension Mean arterial blood pressure Mean perfusion pressure Sepsis 



The authors are indebted to Mrs. Pia Burri and Mr. Roy Lanz for their invaluable assistance in extracting the study variables from the database.

Supplementary material

134_2009_1427_MOESM1_ESM.doc (222 kb)
(DOC 221 kb)


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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Martin W. Dünser
    • 1
    Email author
  • Jukka Takala
    • 1
  • Hanno Ulmer
    • 2
  • Viktoria D. Mayr
    • 3
  • Günter Luckner
    • 3
  • Stefan Jochberger
    • 3
  • Fritz Daudel
    • 1
  • Philipp Lepper
    • 1
  • Walter R. Hasibeder
    • 4
  • Stephan M. Jakob
    • 1
  1. 1.Department of Intensive Care MedicineInselspitalBernSwitzerland
  2. 2.Institute of Medical BiostatisticsInnsbruck Medical UniversityInnsbruckAustria
  3. 3.Department of Anesthesiology and Critical Care MedicineInnsbruck Medical UniversityInnsbruckAustria
  4. 4.Department of Anesthesiology and Critical Care MedicineKrankenhaus Ried im InnkreisRied im InnkreisAustria

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