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How to Predict Post-Surgical Bleeding and Hemoglobin in Liposuction?

I

Instituto Mexicano del Seguro Social

Status

Completed

Conditions

Surgery
Bleeding

Treatments

Procedure: Liposuction

Study type

Observational

Funder types

Other

Identifiers

NCT06453772
LIPOSUCTION-24

Details and patient eligibility

About

To evaluate the effect of using a mathematical model developed through pre- and post-surgical hemoglobins to predict the volume to aspirate in patients undergoing primary body liposuction.

Full description

Postoperative anemia is a significant risk associated with liposuction, yet the scientific literature lacks detailed data on blood loss relative to the volume of fat removed. To address this, the investigators aimed to develop a mathematical formula predicting the decrease in postoperative hemoglobin (Hb post) based on preoperative hemoglobin (Hb pre), Body Mass Index (BMI), and the volume of fat suctioned. An observational, analytical, non-experimental, prospective study was conducted on liposuction patients to validate this predictive formula. Statistical analysis using Spearman's test showed that the results were statistically significant (P < 0.05).

Enrollment

700 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Patients of indistinct gender, operated on at the Centro Médico Nacional de Occidente for primary liposuction.
  • Age between 18 to 60 years old
  • Liposuction technique used: Super wet or Tumescent.
  • Surgical procedure on any area of the body
  • Large volume liposuction (> 5 L)
  • Use of regional anesthesia

Exclusion criteria

  • Presence of any of the following comorbidities: Systemic Arterial Hypertension or Diabetes Mellitus type 2.
  • Performance of 2 or more procedures
  • Use of medications (NSAIDs and/or coadjuvants that modify coagulation times).

Trial design

700 participants in 1 patient group

Patients undergoing liposuction
Treatment:
Procedure: Liposuction

Trial contacts and locations

2

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Data sourced from clinicaltrials.gov

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