Observational studyClinical interventions in aging2018
Good overall morbidity prediction with the POSSUM scoring system in patients having a total hip or knee replacement - a prospective study in 227 patients.
Observational study in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Development and Validation of a 7-Day Postoperative Sleep Disturbance Predictive Nomogram in Non-Cardiovascular Surgical Patients: A Prospective Cohort Study of 3851 Adults.Nature and science of sleep · 2025Article
- POSSUM and P-POSSUM Scoring in Hip Fracture Mortalities.Geriatric orthopaedic surgery & rehabilitation · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
purposeThe Physiological and Operation Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) and P (Portsmouth)-POSSUM predict the risks of complications and mortality 30 days after surgery. The purpose of this study was to evaluate the POSSUM and P-POSSUM scoring systems in patients who underwent surgery for a total hip or knee replacement. PATIENTS AND
methodsA total of 227 patients with an elective primary total hip or knee replacement were included. The predicted postoperative morbidity was analyzed in these patients and compared with the observed value 30 days after surgery. Logistic regression analysis was used to assess the correlation of variables and outcome.
resultsThe number of patients undergoing total hip or knee replacement was equally distributed with a mean age of 66.4±12.5 years; 57% of patients were females. Postoperative complications occurred in 49 patients, and POSSUM predicted 49 cases with an observed-over-expected ratio of 1.0. The average total POSSUM score was 27.4±4.4 in patients with complications and 26.8±3.5 in patients without complications (
conclusionPOSSUM accurately predicted morbidities in patients undergoing elective primary total hip or knee replacement. The risk for wound infection, urinary retention, and pulmonary embolus should be considered during hospitalization. The computerized POSSUM system provides case-mix-adjusted morbidity predictions for groups and, hence, serves as a useful tool for surgical audits and large-scale benchmarking.
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