Accuracy of Manual Intracranial Pressure Recording Compared to a Computerized High-Resolution System: A CENTER-TBI Analysis.


Journal

Neurocritical care
ISSN: 1556-0961
Titre abrégé: Neurocrit Care
Pays: United States
ID NLM: 101156086

Informations de publication

Date de publication:
06 2023
Historique:
received: 12 09 2022
accepted: 09 02 2023
medline: 7 6 2023
pubmed: 17 3 2023
entrez: 16 3 2023
Statut: ppublish

Résumé

Monitoring intracranial pressure (ICP) and cerebral perfusion pressure (CPP) is crucial in the management of the patient with severe traumatic brain injury (TBI). In several institutions ICP and CPP are summarized hourly and entered manually on bedside charts; these data have been used in large observational and interventional trials. However, ICP and CPP may change rapidly and frequently, so data recorded in medical charts might underestimate actual ICP and CPP shifts. The aim of this study was to evaluate the accuracy of manual data annotation for proper capturing of ICP and CPP. For this aim, we (1) compared end-hour ICP and CPP values manually recorded (MR) with values recorded continuously by computerized high-resolution (HR) systems and (2) analyzed whether MR ICP and MR CPP are reliable indicators of the burden of intracranial hypertension and low CPP. One hundred patients were included. First, we compared the MR data with the values stored in the computerized system during the first 7 days after admission. For this point-to-point analysis, we calculated the difference between end-hour MR and HR ICP and CPP. Then we analyzed the burden of high ICP (> 20 mm Hg) and low CPP (< 60 mm Hg) measured by the computerized system, in which continuous data were stored, compared with the pressure-time dose based on end-hour measurements. The mean difference between MR and HR end-hour values was 0.02 mm Hg for ICP (SD 3.86 mm Hg) and 1.54 mm Hg for CPP (SD 8.81 mm Hg). ICP > 20 mm Hg and CPP < 60 mm Hg were not detected by MR in 1.6% and 5.8% of synchronized measurements, respectively. Analysis of the pathological ICP and CPP throughout the recording, however, indicated that calculations based on manual recording seriously underestimated the ICP and CPP burden (in 42% and 28% of patients, respectively). Manual entries fairly represent end-hour HR ICP and CPP. However, compared with a computerized system, they may prove inadequate, with a serious risk of underestimation of the ICP and CPP burden.

Sections du résumé

BACKGROUND
Monitoring intracranial pressure (ICP) and cerebral perfusion pressure (CPP) is crucial in the management of the patient with severe traumatic brain injury (TBI). In several institutions ICP and CPP are summarized hourly and entered manually on bedside charts; these data have been used in large observational and interventional trials. However, ICP and CPP may change rapidly and frequently, so data recorded in medical charts might underestimate actual ICP and CPP shifts. The aim of this study was to evaluate the accuracy of manual data annotation for proper capturing of ICP and CPP. For this aim, we (1) compared end-hour ICP and CPP values manually recorded (MR) with values recorded continuously by computerized high-resolution (HR) systems and (2) analyzed whether MR ICP and MR CPP are reliable indicators of the burden of intracranial hypertension and low CPP.
METHODS
One hundred patients were included. First, we compared the MR data with the values stored in the computerized system during the first 7 days after admission. For this point-to-point analysis, we calculated the difference between end-hour MR and HR ICP and CPP. Then we analyzed the burden of high ICP (> 20 mm Hg) and low CPP (< 60 mm Hg) measured by the computerized system, in which continuous data were stored, compared with the pressure-time dose based on end-hour measurements.
RESULTS
The mean difference between MR and HR end-hour values was 0.02 mm Hg for ICP (SD 3.86 mm Hg) and 1.54 mm Hg for CPP (SD 8.81 mm Hg). ICP > 20 mm Hg and CPP < 60 mm Hg were not detected by MR in 1.6% and 5.8% of synchronized measurements, respectively. Analysis of the pathological ICP and CPP throughout the recording, however, indicated that calculations based on manual recording seriously underestimated the ICP and CPP burden (in 42% and 28% of patients, respectively).
CONCLUSIONS
Manual entries fairly represent end-hour HR ICP and CPP. However, compared with a computerized system, they may prove inadequate, with a serious risk of underestimation of the ICP and CPP burden.

Identifiants

pubmed: 36922475
doi: 10.1007/s12028-023-01697-2
pii: 10.1007/s12028-023-01697-2
pmc: PMC10241732
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

781-790

Investigateurs

Audny Anke (A)
Ronny Beer (R)
Bo-Michael Bellander (BM)
Erta Beqiri (E)
Andras Buki (A)
Manuel Cabeleira (M)
Arturo Chieregato (A)
Giuseppe Citerio (G)
Hans Clusmann (H)
Endre Czeiter (E)
Marek Czosnyka (M)
Bart Depreitere (B)
Ari Ercole (A)
Shirin Frisvold (S)
Raimund Helbok (R)
Stefan Jankowski (S)
Daniel Kondziella (D)
Lars-Owe Koskinen (LO)
Ana Kowark (A)
David K Menon (DK)
Geert Meyfroidt (G)
Kirsten Moeller (K)
David Nelson (D)
Anna Piippo-Karjalainen (A)
Andreea Radoi (A)
Arminas Ragauskas (A)
Rahul Raj (R)
Jonathan Rhodes (J)
Saulius Rocka (S)
Rolf Rossaint (R)
Juan Sahuquillo (J)
Oliver Sakowitz (O)
Peter Smielewski (P)
Nina Sundström (N)
Riikka Takala (R)
Tomas Tamosuitis (T)
Olli Tenovuo (O)
Andreas Unterberg (A)
Peter Vajkoczy (P)
Alessia Vargiolu (A)
Rimantas Vilcinis (R)
Stefan Wolf (S)
Alexander Younsi (A)
Frederick A Zeiler (FA)

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2023. The Author(s).

Références

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Auteurs

Tommaso Zoerle (T)

Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. tommaso.zoerle@policlinico.mi.it.
Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy. tommaso.zoerle@policlinico.mi.it.

Tatiana Birg (T)

Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Marco Carbonara (M)

Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Peter Smielewski (P)

Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.

Michal M Placek (MM)

Brain Physics Lab, Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.

Elisa R Zanier (ER)

Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Cecilia A I Åkerlund (CAI)

Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden.

Fabrizio Ortolano (F)

Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.

Nino Stocchetti (N)

Neuroscience Intensive Care Unit, Department of Anesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.

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