Literature DB >> 10385858

Use of an automated anesthesia information system to determine reference limits for vital signs during cesarean section.

F Dexter1, D H Penning, D A Lubarsky, E DeLong, I Sanderson, B C Gilbert, E Bell, J G Reves.   

Abstract

INTRODUCTION: We evaluated whether automated anesthesia information systems can be used to calculate reference limits (population-based "normal values") for vital signs. We considered four populations of women undergoing cesarean section: healthy under spinal anesthesia, healthy under general anesthesia, pre-eclamptic/eclamptic under spinal anesthesia, and pre-eclamptic/eclamptic under general anesthesia.
METHODS: Reference limits were calculated for each of the study populations by determination of percentiles for: minimum heart rate, maximum heart rate, minimum arterial oxyhemoglobin saturation (SaO2), minimum mean arterial pressure (MAP), maximum MAP, decrease in MAP, and increase in MAP.
RESULTS: There was one adverse anesthetic outcome among the 1,300 women in the study; the woman sustained a post-dural puncture headache. The 5th percentiles of SaO2 were at least 95% saturation under spinal versus 90% under general. Under spinal anesthesia, 95th percentiles for decreases in MAP from baseline were 63 mmHg for healthy and 75 mmHg for pre-eclamptic/eclamptic women. Under general anesthesia, the 95th percentiles for maximum MAP were 161 and 177 mmHg, respectively. Two women of the 1,300 patients experienced simultaneously a minimum SaO2 < 92% and minimum MAP < 50 mmHg. DISCUSSION: Automated anesthesia information systems can be used to determine reference limits for vital signs during anesthesia. Reference limits may play a role in malpractice cases when an expert claims that care by an anesthesiologist was sub-standard as shown by vital signs that were not maintained within the normal range during the critical portions of an anesthetic. Automated anesthesia information systems may enhance expert witnesses' clinical judgment.

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Year:  1998        PMID: 10385858     DOI: 10.1023/a:1009900810721

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  11 in total

1.  Normal fluctuation of physiologic cardiovascular variables during anesthesia and the phenomenon of "smoothing".

Authors:  F E Block
Journal:  J Clin Monit       Date:  1991-04

2.  Detection of intraoperative incidents by electronic scanning of computerized anesthesia records. Comparison with voluntary reporting.

Authors:  K V Sanborn; J Castro; M Kuroda; D M Thys
Journal:  Anesthesiology       Date:  1996-11       Impact factor: 7.892

3.  Elusive artifact and cost issues with computerized patient records for anesthesia (CPRA)

Authors:  D W Edsall; P D Deshane; N J Gould; Z Mehta; S P White; E Solod
Journal:  Anesthesiology       Date:  1997-09       Impact factor: 7.892

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Authors:  H E Solberg
Journal:  Clin Chim Acta       Date:  1987-05-29       Impact factor: 3.786

5.  Computerized detection of arterial oxygen desaturations in an intensive care unit.

Authors:  T A Oniki; R M Gardner
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

6.  Representative charting of vital signs in an intensive care unit.

Authors:  T A Oniki; T P Clemmer; R M Gardner; K V Johnson
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

7.  International Federation of Clinical Chemistry, Scientific Committee, Clinical Section. Expert Panel on Theory of Reference Values (EPTRV). The theory of reference values. Part 5. Statistical treatment of collected reference values. Determination of reference limits.

Authors: 
Journal:  Clin Chim Acta       Date:  1984-02-14       Impact factor: 3.786

8.  International Federation of Clinical Chemistry (IFCC). Scientific Committee, Clinical Section. Expert Panel on Theory of Reference Values (EPTRV). IFCC Document (1982) stage 2, draft 2, 1983-10-07 with a proposal for an IFCC recommendation. The theory of reference values. Part 2. Selection of individuals for the production of reference values.

Authors: 
Journal:  Clin Chim Acta       Date:  1984-05-30       Impact factor: 3.786

9.  Are automated anesthesia records better?

Authors:  D N Thrush
Journal:  J Clin Anesth       Date:  1992 Sep-Oct       Impact factor: 9.452

10.  A comparison of obstetric and nonobstetric anesthesia malpractice claims.

Authors:  H S Chadwick; K Posner; R A Caplan; R J Ward; F W Cheney
Journal:  Anesthesiology       Date:  1991-02       Impact factor: 7.892

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  2 in total

Review 1.  The anesthesia information management system for electronic documentation: what are we waiting for?

Authors:  Eric L Bloomfield; Neil G Feinglass
Journal:  J Anesth       Date:  2008-11-15       Impact factor: 2.078

Review 2.  Anesthesia information management systems: a review of functionality and installation considerations.

Authors:  Jesse M Ehrenfeld; Mohamed A Rehman
Journal:  J Clin Monit Comput       Date:  2010-08-24       Impact factor: 2.502

  2 in total

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