Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT06168331 |
Other study ID # |
IIT-2023-0216 |
Secondary ID |
|
Status |
Recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
October 10, 2023 |
Est. completion date |
December 31, 2024 |
Study information
Verified date |
December 2023 |
Source |
RenJi Hospital |
Contact |
Meng Hu, PhD |
Phone |
+86 15000090636 |
Email |
humeng[@]renji.com |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This study is a multicenter cross-sectional study conducted at 20 centers. Data of existing
inpatients in 20 community hospitals were collected. Information collected included
demographic, co-morbidities, co-medication, laboratory tests, imaging tests, and
anticoagulant use. Based on Caprini, Padua, Khorana and PAPT rating tables, VTE risk
assessment was carried out for inpatients from 20 community hospitals, and VTE risk
stratification of patients and prevention of high-risk VTE patients were analyzed. Blood
samples of inpatients were collected to determine coagulation function indicators. VTE
screening was performed on hospitalized patients using color Doppler ultrasound to determine
the incidence of VTE in community hospitalized patients. On this basis, the predictive
efficacy of different VTE risk scores on community hospitalized patients was compared, and a
new VTE risk score conforming to community hospitalized patients was constructed.
Description:
This study was a prospective, multicenter, observational cohort study conducted in a
cross-section of 20 eligible community hospitals.
Data of existing inpatients in 20 community hospitals were collected. Information collected
included demographic, co-morbidities, co-medication, laboratory tests, imaging tests, and
anticoagulant use. Inpatients from 20 community hospitals were evaluated for VTE risk by
integrating scores such as Caprini, Padua, Khorana and PAPT, and their ability to perform
activities of daily living was also evaluated. The stratification of VTE risk and the
prevention of VTE in high-risk patients were analyzed, and the efficacy of different VTE risk
scores in predicting VTE in community inpatients was compared. VTE risk score was constructed
by Delphi method to simplify the clinical VTE evaluation process.
Delphi method was used to construct a VTE risk scoring process: 1) This study initially
proposed several VTE risk indicators such as age, length of stay and score of autonomous
activity ability through literature review. After analysis, discussion and rectification, the
research team members screened the indicators according to the construction principles of the
indicator system, and finally preliminatively determined the level and quantity of sensitive
indicators. 2) Design expert letter questionnaire: This study plans to conduct a total of 3
rounds of letter questionnaire, which will be distributed and recovered by face-to-face
presentation or email. 15 clinical experts with senior titles who have worked in VTE related
research fields for more than 10 years, including clinicians, clinical pharmacists and
nurses, etc., will be invited. Experts will evaluate all levels and indicators one by one.
Likert 5-level scoring method will be adopted for the importance score, and 1-5 points will
be assigned according to "not important" to "very important". Modifications, additions or
other comments on indicators will be recorded in the expert opinion column. 3) Pairwise
comparison of indicators at all levels in the third round of expert letter questionnaire was
carried out, and the pairwise comparative importance of each indicator was assigned by the
9-level scale of analytic Hierarchy Process (AHP). Matrix judgment and weight were determined
according to the expert evaluation results. Determine the final VTE risk score.
Lower extremity venous ultrasound was performed on more than 1000 patients to obtain the
current incidence of VTE among hospitalized patients in the community.
Blood samples were collected from more than 1000 patients, and blood samples from
hospitalized patients were collected to determine coagulation function indexes, including
prothrombin time, fibrinogen, partial thromboplastin time, thrombin time, fibrin degradation
products, D-D dimer, and coagulation active factors.