Key result
The O-POSSUM predicted mortality score was significantly higher in bedridden patients with pressure ulcers who died within 30 days of debridement compared to those who survived (47% vs 18%, p=0.01).
Why the study?
Does the O-POSSUM scoring system accurately predict 30-day mortality in bedridden patients with pressure ulcers undergoing debridement?
Observational (n=14)
Does the O-POSSUM scoring system accurately predict 30-day mortality in bedridden patients with pressure ulcers undergoing debridement?
The O-POSSUM scoring system may be a useful tool for predicting 30-day mortality risk in bedridden patients undergoing debridement for pressure ulcers.
Answers are grounded in this paper and cite their sources.
O-POSSUM may aid risk stratification; hypothesis-generating and requires prospective validation before clinical adoption.
We hypothesised that the implementation of a validated method of audit, the Physiological and Operative Severity Score for enUmeration of Mortality and morbidity (POSSUM), would be useful in the evaluation of the risks of debridement in bedridden patients with pressure ulcers. With the orthopaedic version of POSSUM (O-POSSUM), physiological data and an operative profile are scored to predict mortality for 30 days postoperatively. Fourteen cases were analysed retrospectively. The difference in predicted mortality was compared with those who died and those who survived. The mean (SD) predicted mortality among those who died was 47 (16)%, and among those who lived was 18 (14)%. Those who died were classified as a relatively high risk group, and the values differed significantly (p=0.01). O-POSSUM may be helpful in audit.
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Kurita et al. (2006) conducted an observational in Pressure ulcers (n=14). Orthopaedic POSSUM (O-POSSUM) scoring system was evaluated on Predicted 30-day postoperative mortality (p=0.01). The O-POSSUM predicted mortality score was significantly higher in bedridden patients with pressure ulcers who died within 30 days of debridement compared to those who survived (47% vs 18%, p=0.01).
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