TY - JOUR
T1 - Venous Thromboembolism Risk Assessment in Hospitalized Cancer Patients
T2 - A Single Center Study
AU - Rayamajhi, Supratik
AU - Shrotriya, Shiva
AU - Rai, Manoj
AU - Dhakal, Prajwal
AU - Basnet, Nishraj
AU - Sharma, Mukta
AU - Lupi, Alexa
AU - Gardiner, Joseph
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - This study aimed to identify predictors of venous thromboembolism (VTE) in hospitalized cancer patients and develop a predictive model using demographic, clinical, and laboratory data. Our analysis showed that patient groups categorized under a very high risk, and high risk, patients with low hemoglobin levels and renal disease were at a significantly increased risk of developing VTE. We developed a VTE risk-assessment model (RAM) with moderate discriminatory performance, high specificity, and negative predictive value, indicating its potential utility in identifying patients without VTE risk. However, the model's positive predictive value and sensitivity were low due to the low prevalence of VTE within the analyzed population. Future studies are needed to analyze additional predictive factors, and to validate the effectiveness of our VTE RAM to safely rule out VTE, compare it with other VTE RAMs in hospitalized cancer patients, and address any limitations of our study.
AB - This study aimed to identify predictors of venous thromboembolism (VTE) in hospitalized cancer patients and develop a predictive model using demographic, clinical, and laboratory data. Our analysis showed that patient groups categorized under a very high risk, and high risk, patients with low hemoglobin levels and renal disease were at a significantly increased risk of developing VTE. We developed a VTE risk-assessment model (RAM) with moderate discriminatory performance, high specificity, and negative predictive value, indicating its potential utility in identifying patients without VTE risk. However, the model's positive predictive value and sensitivity were low due to the low prevalence of VTE within the analyzed population. Future studies are needed to analyze additional predictive factors, and to validate the effectiveness of our VTE RAM to safely rule out VTE, compare it with other VTE RAMs in hospitalized cancer patients, and address any limitations of our study.
KW - VTE RAM
KW - VTE risk predictors
KW - cancer patients
KW - inpatient setting
KW - venous thromboembolism
UR - http://www.scopus.com/inward/record.url?scp=85175676990&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85175676990&partnerID=8YFLogxK
U2 - 10.1177/10760296231206808
DO - 10.1177/10760296231206808
M3 - Article
C2 - 37908071
AN - SCOPUS:85175676990
SN - 1076-0296
VL - 29
JO - Clinical and Applied Thrombosis/Hemostasis
JF - Clinical and Applied Thrombosis/Hemostasis
ER -