Literature DB >> 3585436

Controlled hypotension with sodium nitroprusside: anesthesiologist versus computer.

D R Westenskow, L Meline, N L Pace.   

Abstract

Computer systems developed for the automatic control of blood pressure have been previously shown to induce hypotension with sodium nitroprusside more rapidly and accurately than can be done with manual control. We compared the performance of a computer controller with performances by 10 anesthesiologists during challenges to homeostasis similar (or analogous) to those occurring during a surgical procedure. Hypotension was induced in 10 mongrel dogs and maintained for 2 hours, either by an anesthesiologist or by the computer controller. Challenges to homeostasis were given during the 2-hour period. The computer brought the mean arterial pressure to the desired value in an average of 4.1 minutes compared with 6.3 minutes for the anesthesiologists, but this difference was not statistically significant. There was no statistically significant difference between the computer and the anesthesiologists for 25 performance criteria. The anesthesiologists performed better during two imposed hypertensive perturbations by turning off the sodium nitroprusside sooner when the pressure rapidly decreased. In general, the computer controller performed as well as experienced anesthesiologists who devoted full attention to the control of blood pressure.

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Year:  1987        PMID: 3585436     DOI: 10.1007/bf00858354

Source DB:  PubMed          Journal:  J Clin Monit        ISSN: 0748-1977


  8 in total

1.  Evaluation of two adaptive sodium nitroprusside control algorithms.

Authors:  L J Meline; D R Westenskow; A Somerville; R T Wernick; J Jacobs; N L Pace
Journal:  J Clin Monit       Date:  1986-04

2.  Multiple model adaptive control procedure for blood pressure control.

Authors:  W G He; H Kaufman; R Roy
Journal:  IEEE Trans Biomed Eng       Date:  1986-01       Impact factor: 4.538

3.  Automatic control in anesthesia: a comparison in performance between the anesthetist and the machine.

Authors:  N T Smith; M L Quinn; J Flick; Y Fukui; R Fleming; J R Coles
Journal:  Anesth Analg       Date:  1984-08       Impact factor: 5.108

4.  Automatic control of blood pressures with multiple drug inputs.

Authors:  B C McInnis; L Z Deng
Journal:  Ann Biomed Eng       Date:  1985       Impact factor: 3.934

5.  The self-tuning controller: comparison with human performance in the control of arterial pressure.

Authors:  K S Stern; H J Chizeck; B K Walker; P S Krishnaprasad; P J Dauchot; P G Katona
Journal:  Ann Biomed Eng       Date:  1985       Impact factor: 3.934

6.  Computer control of the infusion of vasoactive drugs.

Authors:  L C Sheppard
Journal:  Ann Biomed Eng       Date:  1980       Impact factor: 3.934

7.  Digital control of mean arterial blood pressure in dogs by injecting a vasodilator drug.

Authors:  A J Koivo; D Larnard; R Gray
Journal:  Ann Biomed Eng       Date:  1981       Impact factor: 3.934

8.  Computer-controlled regulation of sodium nitroprusside infusion.

Authors:  L J Meline; D R Westenskow; N L Pace; M N Bodily
Journal:  Anesth Analg       Date:  1985-01       Impact factor: 5.108

  8 in total
  3 in total

1.  Modeling and control.

Authors:  A D Forbes
Journal:  J Clin Monit       Date:  1990-07

2.  New technology in anaesthesia: friend or foe?

Authors:  R Ross Kennedy
Journal:  J Clin Monit Comput       Date:  2014-04       Impact factor: 2.502

3.  A tool predicting future mean arterial blood pressure values improves the titration of vasoactive drugs.

Authors:  Matthias Görges; Dwayne R Westenskow; Kai Kück; Joseph A Orr
Journal:  J Clin Monit Comput       Date:  2010-06-18       Impact factor: 2.502

  3 in total

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