Blood Transfusion Complication, Pelvic Fracture, Transfusion Reaction
Conditions
Keywords
Pelvic Fracture, Predictive Model, Blood Transfusion, Perioperative period
Brief summary
According to the patient's blood management concept, this study intends to collect basic information, surgical data, blood transfusion related data and patient prognosis data of patients with pelvic fractures, and to construct a predictive model of intraoperative blood transfusion in patients with pelvic fractures by multiple linear regression analysis. To guide physicians use blood accurately during surgery. Prompt doctors to reduce blood transfusion dose and improve patient prognosis by stopping bleeding and blood recovery before surgery.
Detailed description
2.1 Research Objectives: This study aims to construct a blood transfusion model for pelvic fractures, to guide the rational use of blood during surgery, and to improve the prognosis of patients. 2.2 Research content: 2.2.1 Collect basic data, surgical data, blood transfusion related data and patient prognosis related data of patients with pelvic fractures. 2.2.2 Gradually incorporate and exclude data from multiple linear regression models. 2.2.3 Verify the specificity and sensitivity of the intraoperative blood transfusion prediction model. 2.2.4 Create a visualization window to guide clinical blood. 2.2.5 Put into clinical trial and feedback, and continue to verify 2.3 Key issues to be resolved 2.3.1 The factors related to intraoperative blood transfusion in patients with pelvic fractures (such as blood oxygenation, blood loss, HB value, intraoperative autologous blood recovery, blood pressure, heart rate, etc.) were initially screened by univariate analysis. 2.3.2 Reasonably standardize the objective and subjective indicators of different units and different institutions. 2.4 Expected research results Intraoperative blood transfusion prediction model and window for patients with pelvic fractures. 2.5 Assessment indicators Published 1-2 papers. Create a visual applet and put it into trial.
Interventions
None listed
Sponsors
Beijing Shijitan Hospital, Capital Medical University
The Affiliated Hospital Of Southwest Medical University
Zhejiang Provincial People's Hospital
Central South University
Qilu Hospital of Shandong University
Beijing Aerospace General Hospital
The Third Xiangya Hospital of Central South University
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
1 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* (1) 1\<Age\<80, and Chinese residents living in China more than 3 years; * (2) Hemoglobin value less than 100g/L during hospitalization;
Exclusion criteria
* (1) Participants who suffered from pelvic fracture within 3 months * (2) Participants who suffer from pathological fractures of the pelvis caused by malignant tumors * (3) Participants with chronic anemia and coagulopathy * (4) Participants who rufuse blood transfusion
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Matta Radiographic Scoring | 6 months of postoperation | Reductions were graded by the maximal displacement measured on the 3 standard views of the pelvis. Criteria were: excellent 4 mm or less, good 5 to 10 mm, fair 10 to 20 mm, and poor more than 20 mm. |
| Mortality | 24 hours after the Patients' Hospitalization | Mortality during hospitalization |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Hb difference | 24 hours after transfusion | Hb difference before and after transfusion |
| Pain assessed by the VAS | 15 minutes, 30 minutes, 1 hours, 2 hours, 4 hours, 6 hours, 12 hours, 18 hours, 24 hours postoperatively | Change in the Pain Intensity Score (0-10 NRS) |
| Postoperative Duration of Stay in Hospital of patients | 52 Weeks | The postoperative duration of stay in hospital of patients between the restrictive transfusion group and the liberal transfusion group are compared. |
Countries
China
Contacts
Primary ContactRong Gui, Ph.D
Backup ContactHuang Xueyuan, Mater degree
Outcome results
None listed