Additional file 1 of Trends in massive transfusion practice for trauma in Japan from 2011 to 2020: a nationwide inpatient database study
Creators: name: Ohbe, Hiroyuki
name: Tagami, Takashi
name: Endo, Akira
name: Miyata, Shigeki
name: Matsui, Hiroki
name: Fushimi, Kiyohide
name: Kushimoto, Shigeki
name: Yasunaga, Hideo
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Science Policy
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1: Table S1. ICD-10 codes for injured regions. Table S2. ICD-10 codes for adverse events. Table S3. Results for each of the complications. Table S4. Trends in the characteristics and outcomes of trauma patients requiring massive transfusion. Table S5. Trends in the incidence, blood products transfused, and outcomes of the sensitivity analysis by excluding 157 patients who died in the emergency room (N = 5090). Table S6. Results of the sensitivity analysis with generalized estimating equations to assess the association between the four transfusion ratio categories and outcomes conducted by excluding 157 patients who died in the emergency room (N = 5090). Table S7. Trends in the incidence, blood products transfused, and outcomes of the post hoc sensitivity analysis by altering the definition of massive transfusion to patients who received at least 20 units of RBC on the day of admission (N = 3238). Table S8. Results of the sensitivity analysis with generalized estimating equations to assess the association between the four transfusion ratio categories and outcomes conducted by altering the definition of massive transfusion to patients who received at least 20 units of RBC on the day of admission (N = 3238). Table S9. Trends in the incidence, blood products transfused, and outcomes of the post hoc sensitivity analysis by altering the definition of massive transfusion to patients who received at least 60 total units of RBC, FFP, and platelets within the first 2 days of admission (N = 4624). Table S10. Results of the sensitivity analysis with generalized estimating equations to assess the association between the four transfusion ratio categories and outcomes conducted by altering the definition of massive transfusion to patients who received at least 60 total units of RBC, FFP, and platelets within the first 2 days of admission (N = 4624). Table S11. Trends in the incidence, blood products transfused, and outcomes of the post hoc sensitivity analysis by restricting the sample to patients admitted to the tertiary emergency centers (N = 4650). Table S12. Results of the sensitivity analysis with generalized estimating equations to assess the association between the four transfusion ratio categories and outcomes conducted by restricting the sample to patients admitted to the tertiary emergency centers (N = 4650). Table S13. Trends in the incidence, blood products transfused, and outcomes of the post hoc sensitivity analysis by restricting the sample to patients who were admitted to hospitals that had continuously provided data to the database from 2011 to 2020 (N = 3783). Table S14. Results of the sensitivity analysis with generalized estimating equations to assess the association between the four transfusion ratio categories and outcomes conducted by restricting the sample to patients who were admitted to hospitals that had continuously provided data to the database from 2011 to 2020 (N = 3783). Figure S1. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and in-hospital mortality revealed by sensitivity analyses with restricted cubic spline analysis conducted by excluding 157 patients who died in the emergency room. Figure S2. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and adverse events in the sensitivity analyses with restricted cubic spline analysis conducted by excluding 157 patients who died in the emergency room. Figure S3. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and in-hospital mortality revealed by sensitivity analyses with restricted cubic spline analysis conducted by altering the definition of massive transfusion to patients who received at least 20 units of RBC on the day of admission. Figure S4. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and adverse events in the sensitivity analyses with restricted cubic spline analysis conducted by altering the definition of massive transfusion to patients who received at least 20 units of RBC on the day of admission. Figure S5. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and in-hospital mortality revealed by sensitivity analyses with restricted cubic spline analysis conducted by altering the definition of massive transfusion to patients who received at least 60 total units of RBC, FFP, and platelets within the first 2 days of admission. Figure S6. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and adverse events in the sensitivity analyses with restricted cubic spline analysis conducted by altering the definition of massive transfusion to patients who received at least 60 total units of RBC, FFP, and platelets within the first 2 days of admission. Figure S7. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and in-hospital mortality revealed by sensitivity analyses with restricted cubic spline analysis conducted by restricting the sample to patients admitted to the tertiary emergency centers. Figure S8 Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and adverse events in the sensitivity analyses with restricted cubic spline analysis conducted by restricting the restricting the sample to patients admitted to the tertiary emergency centers. Figure S9. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and in-hospital mortality revealed by sensitivity analyses with restricted cubic spline analysis conducted by restricting the sample to patients who were admitted to hospitals that had continuously provided data to the database from 2011 to 2020. Figure S10. Non-linear associations between the FFP to RBC ratio or platelet to RBC ratio and adverse events in the sensitivity analyses with restricted cubic spline analysis conducted by restricting the sample to patients who were admitted to hospitals that had continuously provided data to the database from 2011 to 2020.