Neoplasms

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Nervous System Neoplasms

Brain Diseases

Central Nervous System Diseases

Brain Tumor, Adult

Perioperative data of patient undergoing elective brain tumor resection without requirements of red cell concentrate transfusion.

Perioperative data of patient undergoing elective brain tumor resection with requirements of red cell concentrate transfusion.

Red cell concentrate transfusion

Martinez-Simon Antonio, PhD, MD

To validate a predictive model for the risk of receiving RBCs in this population. This model uses four preoperative values (haemoglobin levels, tumour volume, previous craniotomy in the same spot, and number of craniotomies foreseen). The investigators would like to create an online data collection tool and calculator.

Observational study collecting data from different institutions and teams groups in Spain. The investigators aim at validating one model (published in Journal of Neurosurgical Anesthesiology) in different settings and populations to see if it can be accurately used to provide an opportunity to optimize both the patient and the surgical plan as well as to guide perioperative crossmatch and RBC orders.

Inclusion criteria - Brain tumour (primary or metastatic) patients undergoing craniotomy for resection.

Exclusion criteria Patients younger than 18 years old. Urgent/emergent surgery. Brain tumours not requiring full craniotomy. Patients with blood conditions causing coagulation abnormalities. Systemic disease associated with significant abnormalities in coagulation times (prothrombin time \<60% or activated thromboplastin time \> 50 sg).

Outcome The investigators aim at developing objective and simple criteria about the probability of requirements RBCs during a brain tumour resection surgery. This way we could create a simple tool that would help to optimize both the patient and the surgical plan as well as to guide perioperative crossmatch and RBCs orders.

Statistical Analysis

Transfusion requirement predictive probability will be calculated as follows:

〖1/(1+e〗\^(-(5.7606 + \[-0.7037\*(PH in g/dL)+ 0.0103\*(BTLTV in mm3)+ 1.0558\*(NC)+ 0.6232\*(PC)\]))) PH: Preoperative haemoglobin; BTLTV: brain tumour lesions total volume; NC: craniotomies number; PC: previous craniotomy. NT=1 if NT\>1, or 0; PC=1 if PC at the same site for resection (not only biopsy), or 0. Model discrimination and calibration will be assessed with area under ROC curve, and Hosmer-Lemeshow test with calibration plot, respectively. P\<0.05 will indicate statistical significance.

Predictive Model to Calculate the Risk of RBC Transfusion in Elective Brain Tumours Resections (TScoreBTR)

Validation of a Predictive Model to Calculate the Risk of Red Blood Cells Concentrates Transfusion in Patients Undergoing Elective Brain Tumours Resections

Number of red cell concentrate transfused

Brain tumor volume (mm3) on preoperative MRI

Number of patients with previous tumor craniotomy at the same place

Hospital Clinic of Barcelona

University of Salamanca

Hospital de Leon

Parc Taulí Hospital Universitari

Hospital de Cruces

Hospital del Mar

Hospital Universitario Marqués de Valdecilla

Hospital Universitario Central de Asturias

Hospital Son Espases

Hospital Clínico Universitario Virgen de la Arrixaca

Hospital General Universitario de Valencia

Hospital Universitari de Bellvitge

Hospital Miguel Servet

Clinica Universidad de Navarra, Universidad de Navarra

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization	Link
Predictive Model to Calculate the Risk of RBC Transfusion in Elective Brain Tumours Resections (TScoreBTR)	NCT05832450	Brain Tumor Adu... Transfusion Surgery	Red cell concen...	18 Years -	Clinica Universidad de Navarra, Universidad de Navarra
Predictive Model to Calculate the Risk of RBC Transfusion in Elective Brain Tumours Resections (TScoreBTR)	NCT05832450	Brain Tumor Adu... Transfusion Surgery	Red cell concen...	18 Years -	Clinica Universidad de Navarra, Universidad de Navarra

Spots Global Cancer Trial Database for risk of red blood cells concentrates transfusion