Prediction of Morbidity and Mortality With Medical Pre-Operative Fitness Assessment
- Conditions
- Perioperative Medical Fitness Assessment
- Registration Number
- NCT05892796
- Lead Sponsor
- Assiut University
- Brief Summary
Aim to measure the predictability of medical pre -Operative Fitness Assessment to the actual rates of morbidity and mortality related to surgery in Assiut university Hospital.
- Detailed Description
Perioperative morbidity and mortality remain the mostly important barrier to surgical interventions worldwide. Therefor, decision making relies upon accurate risk Assessment to be balanced with hoped benefit.
For elective surgeries, multiple clinical tools have been used to Assessment perioperative Fitness, but with limited applicability. For instance, the american society of anesthesiologists phesical status score (ASA-PS) does not consider the type of surgery, nor the patient's age.
The physiological and Operative severity score for the enumeration of mortality (POSSUM) evaluates the intra-operative difficulties, limiting the preoperative prediction.
Recently, researchers layer and his colleagues at University Hospital Bonn, modified the preoperative score to Predict Postoperative Mortality (POSPOM) to be applied in daily practice.
In investigator 's practice, Assiut university Hospitals already have a Pre-Operative Fitness Assessment (POFA) clinical and investigator aim to adapt and evaluate the POSPOM system in investigator' s practice.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 122
- Adults (>18 years old ) preparing for elective intervention.
- those who do not require anaesthesia Those who did not undergo surgery
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Incidance of 22 adverse events according to the Eurepian perioperative clinical outcom definitions Baseline Follow up of preoperative medically diseased patients after surgery to detect outcoms
- Secondary Outcome Measures
Name Time Method