Literature DB >> 2072127

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

F E Block1.   

Abstract

With the advent of automated anesthesia record keeping devices, concern has arisen that "abnormal" values will appear in the record and possibly lead to medicolegal compromise. A retrospective review of automated records from a series of anesthesia cases was undertaken to determine if abnormal values do occur, how frequent they are, and whether they cause problems. A total of 14,826 (4,942 each) noninvasive heart rate, systolic, and diastolic blood pressure readings from 118 case printouts generated by a Diatek Arkive Patient Information Management System (63 cases) or a Datascope Datatrac record keeper (55 cases) were recorded. The study sample covered a broad range of surgical operations, anesthetic procedures, and patient ages and medical histories. During these 118 anesthetics, the majority of readings of all three variables fell within normal ranges (defined for this study as 80 to 180 and 50 to 110 mm Hg for systolic and diastolic blood pressures, respectively, and 60 to 140 beats/min for heart rate). During the anesthetics, 3.6% of the systolic pressure readings, 13.25% of the diastolic readings, and 4.25% of the heart rate readings were recorded outside these ranges. No serious intraoperative or postoperative anesthesia complications were associated with these out-of-range readings, nor would they be expected in a sample of this size, since serious anesthetic complications are rare. This preliminary observation of one person's experience may help address the concern associated with allowing high and low blood pressure and heart rate readings to be automatically recorded "unsmoothed." In medicolegal situations, it should also begin to demonstrate that such fluctuations are neither uncommon nor abnormal, and that a true record of these readings should be neither a cause for concern nor an opportunity for medicolegal exploitation.

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Mesh:

Year:  1991        PMID: 2072127     DOI: 10.1007/BF01618113

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


  8 in total

1.  Automated charting of physiological variables in anesthesia: a quantitative comparison of automated versus handwritten anesthesia records.

Authors:  J G Lerou; R Dirksen; M van Daele; G M Nijhuis; J F Crul
Journal:  J Clin Monit       Date:  1988-01

2.  Differences between handwritten and automatic blood pressure records.

Authors:  R I Cook; J S McDonald; E Nunziata
Journal:  Anesthesiology       Date:  1989-09       Impact factor: 7.892

3.  The automated anesthesia record.

Authors:  J S Gravenstein
Journal:  Int J Clin Monit Comput       Date:  1986

4.  Computerized anesthesia records may be dangerous.

Authors:  T A Noel
Journal:  Anesthesiology       Date:  1986-02       Impact factor: 7.892

5.  The effects of beta-blocker therapy on diurnal variation of blood pressure.

Authors:  E B Raftery
Journal:  Eur Heart J       Date:  1983-07       Impact factor: 29.983

6.  Man-made versus computer-generated anesthesia records.

Authors:  R M Zollinger; J F Kreul; A J Schneider
Journal:  J Surg Res       Date:  1977-04       Impact factor: 2.192

7.  Automated blood pressure recording: the phenomenon of blood pressure elevations during speech.

Authors:  K L Malinow; J J Lynch; S A Thomas; E Friedmann; J M Long
Journal:  Angiology       Date:  1982-07       Impact factor: 3.619

8.  Diurnal variation of blood pressure in elderly patients with essential hypertension.

Authors:  I Kobrin; W Oigman; A Kumar; H O Ventura; F H Messerli; E D Frohlich; F G Dunn
Journal:  J Am Geriatr Soc       Date:  1984-12       Impact factor: 5.562

  8 in total
  17 in total

1.  Anesthesia recordkeeping: accuracy of recall with computerized and manual entry recordkeeping.

Authors:  Thomas Corey Davis; Jeffrey A Green; Alexander Colquhoun; Brenda L Hage; Chuck Biddle
Journal:  J Clin Monit Comput       Date:  2012-03-17       Impact factor: 2.502

2.  Assessing data quality in manual entry of ventilator settings.

Authors:  David K Vawdrey; Reed M Gardner; R Scott Evans; James F Orme; Terry P Clemmer; Loren Greenway; Frank A Drews
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

3.  Documentation and Treatment of Intraoperative Hypotension: Electronic Anesthesia Records versus Paper Anesthesia Records.

Authors:  Torin D Shear; Mark Deshur; Brittany Lapin; Steven B Greenberg; Glenn S Murphy; Joseph Szokol; Michael Ujiki; Rebecca Newmark; Jessica Benson; Cody Koress; Connor Dwyer; Jeffery Vender
Journal:  J Med Syst       Date:  2017-04-11       Impact factor: 4.460

4.  Generation and evaluation of intraoperative inferences for automated health care briefings on patient status after bypass surgery.

Authors:  D A Jordan; K R McKeown; K J Concepcion; S K Feiner; V Hatzivassiloglou
Journal:  J Am Med Inform Assoc       Date:  2001 May-Jun       Impact factor: 4.497

5.  A retrospective evaluation of the risk of bias in perioperative temperature metrics.

Authors:  Robert E Freundlich; Sara E Nelson; Yuxuan Qiu; Jesse M Ehrenfeld; Warren S Sandberg; Jonathan P Wanderer
Journal:  J Clin Monit Comput       Date:  2018-12-08       Impact factor: 2.502

6.  A comparison of vital signs charted by nurses with automated acquired values using waveform quality indices.

Authors:  Monica Sapo; Shaozhi Wu; Shadnaz Asgari; Norma McNair; Farzad Buxey; Neil Martin; Xiao Hu
Journal:  J Clin Monit Comput       Date:  2009-07-23       Impact factor: 2.502

7.  Computer aided monitor-data processing (CAMP). A landmark for unbiased gauging of anaesthetic courses?

Authors:  A Petry
Journal:  J Clin Monit Comput       Date:  1998-02       Impact factor: 2.502

8.  Multimedia abstract generation of intensive care data: the automation of clinical processes through AI methodologies.

Authors:  Desmond Jordan; Sydney E Rose
Journal:  World J Surg       Date:  2010-04       Impact factor: 3.352

9.  Use of an anesthesia information management system (AIMS) to evaluate the physiologic effects of hypnotic agents used to induce anesthesia.

Authors:  M Benson; A Junger; C Fuchs; L Quinzio; S Böttger; G Hempelmann
Journal:  J Clin Monit Comput       Date:  2000       Impact factor: 2.502

10.  Acceptable ranges for vital signs during general anesthesia.

Authors:  J H van Oostrom; C Gravenstein; J S Gravenstein
Journal:  J Clin Monit       Date:  1993-11
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