Prediction of Morbidity and Mortality With Medical Pre-Operative Fitness Assessment
Study Details
Study Description
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
|
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.
Study Design
Outcome Measures
Primary Outcome Measures
- 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
Eligibility Criteria
Criteria
Inclusion Criteria:
- Adults (>18 years old ) preparing for elective intervention.
Exclusion Criteria:
- those who do not require anaesthesia Those who did not undergo surgery
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Assiut University
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- Conrad C, Eltzschig HK. Disease Mechanisms of Perioperative Organ Injury. Anesth Analg. 2020 Dec;131(6):1730-1750. doi: 10.1213/ANE.0000000000005191.
- Copeland GP, Jones D, Walters M. POSSUM: a scoring system for surgical audit. Br J Surg. 1991 Mar;78(3):355-60. doi: 10.1002/bjs.1800780327.
- Eyob B, Boeck MA, FaSiOen P, Cawich S, Kluger MD. Ensuring safe surgical care across resource settings via surgical outcomes data & quality improvement initiatives. Int J Surg. 2019 Dec;72S:27-32. doi: 10.1016/j.ijsu.2019.07.036. Epub 2019 Aug 5.
- Layer YC, Menzenbach J, Layer YL, Mayr A, Hilbert T, Velten M, Hoeft A, Wittmann M. Validation of the Preoperative Score to Predict Postoperative Mortality (POSPOM) in Germany. PLoS One. 2021 Jan 27;16(1):e0245841. doi: 10.1371/journal.pone.0245841. eCollection 2021.
- Le Manach Y, Collins G, Rodseth R, Le Bihan-Benjamin C, Biccard B, Riou B, Devereaux PJ, Landais P. Preoperative Score to Predict Postoperative Mortality (POSPOM): Derivation and Validation. Anesthesiology. 2016 Mar;124(3):570-9. doi: 10.1097/ALN.0000000000000972.
- Sankar A, Johnson SR, Beattie WS, Tait G, Wijeysundera DN. Reliability of the American Society of Anesthesiologists physical status scale in clinical practice. Br J Anaesth. 2014 Sep;113(3):424-32. doi: 10.1093/bja/aeu100. Epub 2014 Apr 11.
- mPOFA