Evaluating P-Possum As Risk Prediction Tool In Emergency Laparotomy In Tertiary Care Hospital

Junaid Zaman Imrana Zulfikar
2022 Zenodo  
The patients' physiological state, morbidity rates following emergency laparotomies can be misleading. There are a number of surgical risk assessments that are widely used, including the Portsmouth-POSSUM (P-POSSUM), a version of the physiologic and operational severity score that is used to count the number of deaths during surgery. These facts are frequently acquired from the operation room itself. Objective: The purpose of this study is to investigate the predictive efficacy of the P-POSSUM
more » ... cores in patients receiving emergency laparotomy. Methodology: Civil Hospital Karachi's emergency department patients were the subjects of a cross-sectional, qualitative, prospective study. Our target enrollment is 90 patients during the course of the research. People who come from the hospital's emergency room will be included in the study. A Google form will be filled out for each patient with their demographics and the type of admission, ASA grade, urgency of surgery, P-POSSUM score, indication of surgery, length of stay and outcome cardiac signs (GCS, GCS, Cardiac Status Hb, WBC, operative parameters), operative blood loss, peritoneal examination, malignancy status, physiology score, operative severity and morbidity calculator and mortality measures. Results: The average age of the study's 100 participants was 44.37 years with 16.541 Std. P-POSSUM projected a morbidity mean of 43.82 with 31.8 Std, but P-POSSUM predicted a mortality mean of 10.37 with 16.89 Std. Chi-square tests revealed considerable link between observed and anticipated mortality, with P values of 0.003 for P- POSSUM indicating meaningful association. Whereas, anticipated morbidity value which significantly overestimates actual morbidity. There is no correlation between P-POSSUM's overestimation of morbidity and a P value of 0.521 in a correlation test. Conclusion: P-POSSUM appear to be good and valid markers for use in the risk prediction of morbidity and mortality in the Pakistani population
doi:10.5281/zenodo.6419883 fatcat:kcmnhww2oza2pow5i4of6od3s4