Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Anemia need to be diagnosed and treated, following several guidelines. However, the complexity of these recommendations leads to low compliance and to unnecessary and harmful per- and postoperative blood transfusion.
In order to improve practices and regarding the complexity of the guidelines, the latest European Consensus Conference recommends the use of decision support systems for the management of preoperative anemia.
The World Health Organization defines anemia as a hemoglobin level of less than 13 g/dL in adult men and less than 12 g/dL in women.
The cause of these anemias is most often deficient with 17% iron deficiency. This deficiency is related to age, inflammatory diseases, blood loss, and absorption disorders mainly. Anemia must be diagnosed preoperatively and treated.
To reduce transfusion in the perioperative period there are various possibilities: increase of the preoperative erythrocyte mass, reduction of losses, use of the blood that has been applied.
The impact of these preoperative strategies can be considerable. In their work, Beattie and al demonstrates that transfusion is associated with an increase in mortality at 90 days, proportional to the volume transfused, with certainly a higher risk in fragile subjects. More recently, an American registry of more than 220,000 patients showed that 30% had preoperative anemia. This anemia not only significantly increased mortality, but all causes of comorbidity were aggravated in an anemic patient.
However, the complexity of these recommendations leads to low compliance and to unnecessary and harmful per- and postoperative blood transfusion.
In order to improve practices and regarding the complexity of the guidelines, the latest European Consensus Conference recommends the use of decision support systems for the management of preoperative anemia.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control Group | Anesthesiologists would have to respond to an online questionnaire about 10 hypotheticals clinical situations regarding patient blood management. | ||
| Clinical Decision Support Group | Anesthesiologists would have to respond to an online questionnaire about 10 hypotheticals clinical situations regarding patient blood management helped by dedicated clinical decision support systems for patient blood management (iAnemia, Intelligence Anesthesia). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| iAnemia Decision Support System | Device | iAnemia permits to display the appropriate guideline using several inputs about a patient: age, type and delay of the surgery, gender, hemoglobin level, and iron deficiency status. |
| Measure | Description | Time Frame |
|---|---|---|
| Average global score obtained for the two groups. | The mean number of correct answers (out of possible 10); | Up to 24 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Average subcategories score obtained for the two groups. | The mean number of correct answers (out of possible 10); | Up to 24 weeks |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Anesthesiologist:
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yassine Moussali, MD | Contact | +33620858135 | y.moussali@intelligenceanesthesia.com |
Not provided
Not provided
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30860564 | Background | Mueller MM, Van Remoortel H, Meybohm P, Aranko K, Aubron C, Burger R, Carson JL, Cichutek K, De Buck E, Devine D, Fergusson D, Follea G, French C, Frey KP, Gammon R, Levy JH, Murphy MF, Ozier Y, Pavenski K, So-Osman C, Tiberghien P, Volmink J, Waters JH, Wood EM, Seifried E; ICC PBM Frankfurt 2018 Group. Patient Blood Management: Recommendations From the 2018 Frankfurt Consensus Conference. JAMA. 2019 Mar 12;321(10):983-997. doi: 10.1001/jama.2019.0554. | |
| 17302768 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D000740 | Anemia |
| ID | Term |
|---|---|
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
| Background |
| Rothschild JM, McGurk S, Honour M, Lu L, McClendon AA, Srivastava P, Churchill WH, Kaufman RM, Avorn J, Cook EF, Bates DW. Assessment of education and computerized decision support interventions for improving transfusion practice. Transfusion. 2007 Feb;47(2):228-39. doi: 10.1111/j.1537-2995.2007.01093.x. |
| 21502229 | Background | Adams ES, Longhurst CA, Pageler N, Widen E, Franzon D, Cornfield DN. Computerized physician order entry with decision support decreases blood transfusions in children. Pediatrics. 2011 May;127(5):e1112-9. doi: 10.1542/peds.2010-3252. Epub 2011 Apr 18. |