Language

English

Publication Date

2-1-2024

Journal

Journal of Thrombosis and Haemostasis

DOI

10.1016/j.jtha.2023.10.015

PMID

37918635

PMCID

PMC10872863

PubMedCentral® Posted Date

2-1-2025

PubMedCentral® Full Text Version

Author MSS

Abstract

Background: Regulatory organizations recommend assessing hospital-acquired (HA) venous thromboembolism (VTE) risk for medical inpatients.

Objectives: To develop and validate a risk assessment model (RAM) for HA-VTE in medical inpatients using objective and assessable risk factors knowable at admission.

Methods: The development cohort included people admitted to medical services at the University of Vermont Medical Center (Burlington, Vermont) between 2010 and 2019, and the validation cohorts included people admitted to Hennepin County Medical Center (Minneapolis, Minnesota), University of Michigan Medical Center (Ann Arbor, Michigan), and Harris Health Systems (Houston, Texas). Individuals with VTE at admission, aged < 18 years, and admitted for < 1 midnight were excluded. We used a Bayesian penalized regression technique to select candidate HA-VTE risk factors for final inclusion in the RAM.

Results: The development cohort included 60 633 admissions and 227 HA-VTE, and the validation cohorts included 111 269 admissions and 651 HA-VTE. Seven HA-VTE risk factors with t statistics ≥1.5 were included in the RAM: history of VTE, low hemoglobin level, elevated creatinine level, active cancer, hyponatremia, increased red cell distribution width, and malnutrition. The areas under the receiver operating characteristic curve and calibration slope were 0.72 and 1.10, respectively. The areas under the receiver operating characteristic curve and calibration slope were 0.70 and 0.93 at Hennepin County Medical Center, 0.70 and 0.87 at the University of Michigan Medical Center, and 0.71 and 1.00 at Harris Health Systems, respectively. The RAM performed well stratified by age, sex, and race.

Conclusion: We developed and validated a RAM for HA-VTE in medical inpatients. By quantifying risk, clinicians can determine the potential benefits of measures to reduce HA-VTE.

Keywords

Humans, Venous Thromboembolism, Inpatients, Bayes Theorem, Venous Thrombosis, Thrombosis, Risk Assessment, Risk Factors, Hospitals, Retrospective Studies, Hospitalization, Inpatients, Risk Assessment, Risk Factors, Venous Thrombosis

Published Open-Access

yes

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