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May 31, 2007British journal of surgery75 citationsOpen Access

Comparison of different methods of risk stratification in urgent and emergency surgery

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WNW.D. NearyDPDavid PrytherchCFC Foy

Key Result

P-POSSUM, SRS, and BHOM scoring systems accurately predicted 30-day mortality after urgent or emergency surgery with AUCs >0.80, whereas RGCRI had an AUC of 0.73.

Key Points

  • This research aims to compare various risk scoring systems for predicting outcomes in patients undergoing urgent surgery.
  • Cohort study involving 2349 patients who underwent urgent or emergency surgery.
  • Patients scored with Revised Goldman Cardiac Risk Index, P-POSSUM, SRS, and BHOM.
  • Outcomes evaluated using ROC curves and Hosmer-Lemeshow analysis.
  • 30-day mortality was 6.0% (141 patients) and increased to 10.8% (254 patients) by 1 year.
  • ROC area for predicting 30-day death was 0.90 for P-POSSUM, 0.85 for SRS, and 0.84 for BHOM; RGCRI was lower at 0.73.
  • All three effective risk scores (P-POSSUM, SRS, BHOM) had accurate discrimination, confirmed by Hosmer-Lemeshow analysis.

Study Design

Type

Cohort (n=2,349)

Multicenter

No

Structured PICO

Do P-POSSUM, SRS, and BHOM predict 30-day and 1-year mortality better than RGCRI in patients undergoing urgent or emergency surgery?

P
Population
2349 consecutive patients who had urgent or emergency non-elective surgery in a district general hospital in the UK
I
Intervention
Risk stratification using P-POSSUM, Surgical Risk Score (SRS), and Biochemistry and Haematology Outcome Models (BHOM)
C
Comparator
Revised Goldman Cardiac Risk Index (RGCRI)
O
Outcome
30-day and 1-year survival rates (mortality)hard clinical

P-POSSUM, SRS, and BHOM scoring systems accurately predict 30-day and 1-year mortality after emergency and urgent surgery, outperforming the Revised Goldman Cardiac Risk Index.

Main Result

Effect estimate: AUC 0.90 (P-POSSUM), 0.85 (SRS), 0.84 (BHOM), 0.73 (RGCRI)

Abstract

BACKGROUND: The aim was to compare a number of risk scoring systems prospectively in a cohort of patients who underwent non-elective surgery. METHODS: This was a cohort study of 2349 consecutive patients who had urgent or emergency surgery in a district general hospital in the UK. All patients were scored prospectively using the Revised Goldman Cardiac Risk Index (RGCRI), Portsmouth modification of the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM), Surgical Risk Score (SRS) and Biochemistry and Haematology Outcome Models (BHOM). Actual 30-day and 1-year survival rates were compared with the predicted outcomes using receiver-operator characteristic (ROC) curves and Hosmer-Lemeshow analysis. RESULTS: Some 141 patients (6.0 per cent) died within 30 days of operation. This increased to 254 (10.8 per cent) by 1 year. The area under the ROC curve for death within 30 days was 0.90 for P-POSSUM, 0.85 for SRS, 0.84 for BHOM and 0.73 for RGCRI. Only the first three risk scores were able to discriminate accurately within the groups (area under ROC curve over 0.8), with no significant variation between expected and observed mortality rates confirmed by Hosmer-Lemeshow analysis. Similar results were found for the ability of each score to predict outcome at 1 year. CONCLUSION: P-POSSUM, SRS and BHOM scoring systems were all able to predict outcome after emergency and urgent surgery, but the SRS had the advantage of ease of calculation. BHOM requires only the most commonly available blood test data and the computer holding these data can easily perform the calculation.

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Cite This Study

Neary et al. (2007) conducted a cohort in urgent or emergency surgery (n=2,349). Risk scoring systems (P-POSSUM, SRS, BHOM, RGCRI) vs. Actual survival rates was evaluated on Death within 30 days and 1 year (AUC 0.90 (P-POSSUM), 0.85 (SRS), 0.84 (BHOM), 0.73 (RGCRI)). P-POSSUM, SRS, and BHOM scoring systems accurately predicted 30-day mortality after urgent or emergency surgery with AUCs >0.80, whereas RGCRI had an AUC of 0.73.

synapsesocial.com/papers/6a07b4f344ff8ad339f69ccfhttps://doi.org/10.1002/bjs.5809
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