Performance of risk assessment models for venous thromboembolism in critically ill patients receiving pharmacologic thromboprophylaxis: a post hoc analysis of the PREVENT trial.

Pneumatic Compression Risk Assessment Model Thromboprophylaxis Venous Thromboembolism

Journal

Chest
ISSN: 1931-3543
Titre abrégé: Chest
Pays: United States
ID NLM: 0231335

Informations de publication

Date de publication:
02 Sep 2024
Historique:
received: 31 08 2023
revised: 30 06 2024
accepted: 05 07 2024
medline: 5 9 2024
pubmed: 5 9 2024
entrez: 5 9 2024
Statut: aheadofprint

Résumé

The diagnostic performance of the available risk assessment models for venous thromboembolism in critically ill patients receiving pharmacologic thromboprophylaxis is unclear. For critically ill patients receiving pharmacologic thromboprophylaxis, do risk assessment models predict who would develop venous thromboembolism or who could benefit from adjunctive pneumatic compression for thromboprophylaxis? In this post hoc analysis of the PREVENT trial, we evaluated different risk assessment models for venous thromboembolism (ICU-VTE, Kucher, Intermountain, Caprini, Padua, and IMPROVE models). We constructed receiving operator characteristic curves and calculated the sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. Additionally, we conducted subgroup analyses evaluating the effect of adjunctive pneumatic compression versus none on the study primary outcome. Among 2003 patients receiving pharmacologic thromboprophylaxis, 198 (9.9%) developed venous thromboembolism. With multivariable logistic regression analysis, the independent predictors of venous thromboembolism were APACHE II score, prior immobilization, femoral central venous catheter, and invasive mechanical ventilation. All risk assessment models had areas under the curve <0.60 except for the Caprini model (0.64, 95% confidence interval 0.60, 0.68). The Caprini, Padua and Intermountain models had high sensitivity (>85%) but low specificity (<20%) for predicting venous thromboembolism, whereas ICU-VTE, Kucher, and IMPROVE models had low sensitivities (<15%), but high specificities (>85%). The positive predictive value was low (<20%) for all studied cutoff scores, whereas the negative predictive value was mostly >90%. Using the risk assessment models to stratify patients into high- versus low-risk subgroups, the effect of adjunctive pneumatic compression versus pharmacologic prophylaxis alone was not different across the subgroups (p for interaction >0.05). The risk assessment models for venous thromboembolism performed poorly in critically ill patients receiving pharmacologic thromboprophylaxis. None of the models identified a subgroup of patients who might benefit from adjunctive pneumatic compression.

Sections du résumé

BACKGROUND BACKGROUND
The diagnostic performance of the available risk assessment models for venous thromboembolism in critically ill patients receiving pharmacologic thromboprophylaxis is unclear.
RESEARCH QUESTION OBJECTIVE
For critically ill patients receiving pharmacologic thromboprophylaxis, do risk assessment models predict who would develop venous thromboembolism or who could benefit from adjunctive pneumatic compression for thromboprophylaxis?
STUDY DESIGN AND METHODS METHODS
In this post hoc analysis of the PREVENT trial, we evaluated different risk assessment models for venous thromboembolism (ICU-VTE, Kucher, Intermountain, Caprini, Padua, and IMPROVE models). We constructed receiving operator characteristic curves and calculated the sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. Additionally, we conducted subgroup analyses evaluating the effect of adjunctive pneumatic compression versus none on the study primary outcome.
RESULTS RESULTS
Among 2003 patients receiving pharmacologic thromboprophylaxis, 198 (9.9%) developed venous thromboembolism. With multivariable logistic regression analysis, the independent predictors of venous thromboembolism were APACHE II score, prior immobilization, femoral central venous catheter, and invasive mechanical ventilation. All risk assessment models had areas under the curve <0.60 except for the Caprini model (0.64, 95% confidence interval 0.60, 0.68). The Caprini, Padua and Intermountain models had high sensitivity (>85%) but low specificity (<20%) for predicting venous thromboembolism, whereas ICU-VTE, Kucher, and IMPROVE models had low sensitivities (<15%), but high specificities (>85%). The positive predictive value was low (<20%) for all studied cutoff scores, whereas the negative predictive value was mostly >90%. Using the risk assessment models to stratify patients into high- versus low-risk subgroups, the effect of adjunctive pneumatic compression versus pharmacologic prophylaxis alone was not different across the subgroups (p for interaction >0.05).
INTERPRETATION CONCLUSIONS
The risk assessment models for venous thromboembolism performed poorly in critically ill patients receiving pharmacologic thromboprophylaxis. None of the models identified a subgroup of patients who might benefit from adjunctive pneumatic compression.

Identifiants

pubmed: 39232999
pii: S0012-3692(24)05130-4
doi: 10.1016/j.chest.2024.07.182
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Hasan M Al-Dorzi (HM)

Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: aldorzih@yahoo.com.

Hatim Arishi (H)

Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: arishiha1@mngha.med.sa.

Fahad M Al-Hameed (FM)

Intensive Care Department, Ministry of National Guard Health Affairs, Jeddah, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Jeddah, Kingdom of Saudi Arabia. Electronic address: HameedF@ngha.med.sa.

Karen Ea Burns (KE)

Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Unity Health Toronto - St Michael's Hospital, Toronto, Canada; Li Ka Shing Knowledge Institute, Toronto, Canada. Electronic address: burnsk@smh.ca.

Sangeeta Mehta (S)

Department of Medicine, University of Toronto, Medical Surgical ICU, Sinai Health, Toronto, Canada. Electronic address: geeta.mehta@SinaiHealth.ca.

Jesna Jose (J)

King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: jesnadayana28@gmail.com.

Sami J Alsolamy (SJ)

Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: dr.sami.j@gmail.com.

Sheryl Ann I Abdukahil (S)

Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: abdukahil.sheryl@gmail.com.

Lara Y Afesh (LY)

King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: lara.afesh@hotmail.com.

Mohammed S Alshahrani (MS)

Department of Emergency and Critical Care Medicine, College of Medicine, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia. Electronic address: msshahrani@iau.edu.sa.

Yasser Mandourah (Y)

Military Medical Services, Ministry of Defense, Riyadh, Kingdom of Saudi Arabia. Electronic address: yasser.mandourah@me.com.

Ghaleb A Almekhlafi (GA)

Department of Intensive Care Services, Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia. Electronic address: gmekhlafi@yahoo.com.

Mohammed Almaani (M)

Department of Pulmonary and Critical Care Medicine, King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia. Electronic address: AlmaaniM@gmail.com.

Ali Al Bshabshe (A)

Department of Critical Care Medicine, King Khalid University, Asir Central Hospital, Abha, Kingdom of Saudi Arabia. Electronic address: albshabshe@yahoo.com.

Simon Finfer (S)

The George Institute for Global Health, University of New South Wales, Sydney, Australia. Electronic address: sfinfer@georgeinstitute.org.au.

Zia Arshad (Z)

Department of Anesthesiology and Critical Care, King George's Medical University, Lucknow, India. Electronic address: zia_235@rediffmail.com.

Imran Khalid (I)

Critical Care Section, Department of Medicine, King Faisal Specialist Hospital & Research Center, Jeddah, Saudi Arabia. Electronic address: Doc_ik@yahoo.com.

Yatin Mehta (Y)

Institute of Critical Care and Anaesthesiology, Medanta - The Medicity, Gurgaon, Haryana, India. Electronic address: yatinmehta@hotmail.com.

Atul Gaur (A)

Intensive Care Department, Gosford Hospital, New South Wales, Australia. Electronic address: atul.gaur@health.nsw.gov.au.

Hassan Hawa (H)

Critical Care Medicine Department, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia. Electronic address: hhawa54@kfshrc.edu.sa.

Hergen Buscher (H)

Department of Intensive Care Medicine, Centre for Applied Medical Research, St. Vincent's Hospital, University of New South Wales, Sydney, Australia. Electronic address: Hergen.Buscher@svha.org.au.

Hani Lababidi (H)

Department of Pulmonary and Critical Care Medicine, King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia. Electronic address: hanilab@hotmail.com.

Abdulsalam Al Aithan (A)

Intensive Care Division, Department of Medicine, King Abdulaziz Hospital, Al Ahsa, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Al Ahsa, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Al Ahsa, Kingdom of Saudi Arabia. Electronic address: AithanA@NGHA.MED.SA.

Abdulaziz Al-Dawood (A)

Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: aldawooda@hotmail.com.

Yaseen M Arabi (YM)

Intensive Care Department, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia, King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia. Electronic address: yaseenarabi@yahoo.com.

Classifications MeSH