Calibration trial of an innovative medical device (

Behavioral Pain Scale artificial intelligence critically ill patients facial expression pain

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2024
Historique:
received: 08 10 2023
accepted: 05 06 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 12 7 2024
Statut: epublish

Résumé

Pain management is an essential and complex issue for non-communicative patients undergoing sedation in the intensive care unit (ICU). The Behavioral Pain Scale (BPS), although not perfect for assessing behavioral pain, is the gold standard based partly on clinical facial expression. In this prospective pilot study, we recorded the facial expressions of critically ill patients in the medical ICU of Caen University Hospital using the iPhone and Smart Motion Tracking System (SMTS) software with the Facial Action Coding System (FACS) to measure human facial expressions metrically during sedation weaning. Analyses were recorded continuously, and BPS scores were collected hourly over two 8 h periods per day for 3 consecutive days. For this first stage, calibration of the innovative Thirty participants were enrolled between March and July 2022. To assess the acute severity of illness, the Sequential Organ Failure Assessment (SOFA) and the Simplified Acute Physiology Score (SAPS II) were recorded on ICU admission and were 9 and 47, respectively. All participants had deep sedation, assessed by a Richmond Agitation and Sedation scale (RASS) score of less than or equal to -4 at the time of inclusion. One thousand and six BPS recordings were obtained, and 130 recordings were retained for final calibration: 108 BPS recordings corresponding to the absence of pain and 22 BPS recordings corresponding to the presence of pain. Due to the small size of the dataset, a leave-one-subject-out cross-validation (LOSO-CV) strategy was performed, and the training results obtained the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.792. This model has a sensitivity of 81.8% and a specificity of 72.2%. This pilot study calibrated the

Sections du résumé

Background UNASSIGNED
Pain management is an essential and complex issue for non-communicative patients undergoing sedation in the intensive care unit (ICU). The Behavioral Pain Scale (BPS), although not perfect for assessing behavioral pain, is the gold standard based partly on clinical facial expression.
Methods UNASSIGNED
In this prospective pilot study, we recorded the facial expressions of critically ill patients in the medical ICU of Caen University Hospital using the iPhone and Smart Motion Tracking System (SMTS) software with the Facial Action Coding System (FACS) to measure human facial expressions metrically during sedation weaning. Analyses were recorded continuously, and BPS scores were collected hourly over two 8 h periods per day for 3 consecutive days. For this first stage, calibration of the innovative
Results UNASSIGNED
Thirty participants were enrolled between March and July 2022. To assess the acute severity of illness, the Sequential Organ Failure Assessment (SOFA) and the Simplified Acute Physiology Score (SAPS II) were recorded on ICU admission and were 9 and 47, respectively. All participants had deep sedation, assessed by a Richmond Agitation and Sedation scale (RASS) score of less than or equal to -4 at the time of inclusion. One thousand and six BPS recordings were obtained, and 130 recordings were retained for final calibration: 108 BPS recordings corresponding to the absence of pain and 22 BPS recordings corresponding to the presence of pain. Due to the small size of the dataset, a leave-one-subject-out cross-validation (LOSO-CV) strategy was performed, and the training results obtained the receiver operating characteristic (ROC) curve with an area under the curve (AUC) of 0.792. This model has a sensitivity of 81.8% and a specificity of 72.2%.
Conclusion UNASSIGNED
This pilot study calibrated the

Identifiants

pubmed: 38994344
doi: 10.3389/fmed.2024.1309720
pmc: PMC11236545
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1309720

Informations de copyright

Copyright © 2024 Bellal, Lelandais, Chabin, Heudron, Gourmelon, Bauduin, Cuchet, Daubin, De Carvalho Ribeiro, Delcampe, Goursaud, Joret, Mombrun, Valette, Cerasuolo, Morello, Mordel, Chaillot, Dutheil, Vivien and Du Cheyron.

Déclaration de conflit d'intérêts

MB and DCh participated in scientific board of SAMDOC Medical Technologies who develops NEVVA©; medical device. JL, TC, AH and TG were employed by Samdoc Medical Technologies Company. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Mathieu Bellal (M)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.
Normandie Univ., UNICAEN, INSERM UMRS U1237 PhIND, Caen, France.

Julien Lelandais (J)

Normandie Univ., UNICAEN, INSERM UMRS U1237 PhIND, Caen, France.
Samdoc Medical Technologies Company, Caen, France.

Thomas Chabin (T)

Samdoc Medical Technologies Company, Caen, France.

Aurélie Heudron (A)

Samdoc Medical Technologies Company, Caen, France.

Thomas Gourmelon (T)

Samdoc Medical Technologies Company, Caen, France.

Pierrick Bauduin (P)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Pierre Cuchet (P)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Cédric Daubin (C)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Célia De Carvalho Ribeiro (C)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Augustin Delcampe (A)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Suzanne Goursaud (S)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.
Normandie Univ., UNICAEN, INSERM UMRS U1237 PhIND, Caen, France.

Aurélie Joret (A)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Martin Mombrun (M)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Xavier Valette (X)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Damiano Cerasuolo (D)

Department of Methodology and Statistics, Caen University Hospital, Caen, France.

Rémy Morello (R)

Department of Methodology and Statistics, Caen University Hospital, Caen, France.

Patrick Mordel (P)

Department of Clinical Research, Caen University Hospital, Caen, France.

Fabien Chaillot (F)

Department of Clinical Research, Caen University Hospital, Caen, France.

Jean Jacques Dutheil (JJ)

Department of Clinical Research, Caen University Hospital, Caen, France.

Denis Vivien (D)

Normandie Univ., UNICAEN, INSERM UMRS U1237 PhIND, Caen, France.
Department of Clinical Research, Caen University Hospital, Caen, France.
Department of Biological Resources Center, Caen University Hospital, Caen, France.

Damien Du Cheyron (D)

Department of Medical Intensive Care, Caen University Hospital, Caen, France.

Classifications MeSH