T Stornes1, A Wibe2,3, B H Endreseth2,3. 1. Department of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, N-7006, Norway. torestornes@gmail.com. 2. Department of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, N-7006, Norway. 3. Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
Abstract
PURPOSE: The primary aim of this study was to characterise complications, identify predictors of postoperative morbidity and mortality and to evaluate existing risk prediction models in elderly rectal cancer patients. METHODS: An observational single-centre study of 330 consecutive patients >75 years treated in 1994-2006. Analyses were performed by age group: 75-79 years, 80-85 years and >85 years. RESULTS: Total observed in-hospital morbidity was 48.7 %. In multivariate analysis, age (OR 1.04, 95 % CI 1.01-1.08, p = 0.04), ASA grade ≥ 3 (p = 0.01), acute presentation (OR 1.67, 95 % CI 1.2-13.2, p = 0.02) and major surgery (APR OR 3.72, 95 % CI 1.37-10.15, p = 0.01, LAR OR 2.98, 95 % CI 1.14-7.79, p = 0.03, Hartmann OR 5.46, 95 % CI 1.60-19.28, p = 0.02) were independent risk factors for postoperative morbidity. The 30-day mortality was 6.3, 6.4 and 14.3 % (p = 0.146) in the three age groups, and the 100-day mortality was 8.7, 10.1 and 22.2 % (p = 0.03), respectively. ASA group 3 (OR 6.21, 95 % CI 4.39-27.69, p = 0.017), ASA group 4 (OR 32.6, 95 % CI 5.12-207.75, p < 0.001) and acute presentation (OR 6.48, 95 % CI 1.62-25.99, p = 0.008) increased the risk of 100-day mortality. The Physiological and Operative Severity Score for enUmeration of Mortality and Morbidity (POSSUM) observed/estimated (O/E) ratio for morbidity was 1.05. For 30-day mortality, the colorectal POSSUM (Cr-POSSUM) O/E ratio was 0.74, Surgical Risk Scale 0.61 and the Association of Coloproctology of Great Britain and Ireland (ACPGBI) mortality model 0.63, and for 100-day mortality, ratios were 1.12, 0.91 and 0.95, respectively. CONCLUSION: In this series, age increased the risk of in-hospital morbidity and 100-day mortality. Cr-POSSUM, SRS and ACPGBI overestimated 30-day mortality but predicted 100-day mortality with a high degree of accuracy. POSSUM correctly predicted in-hospital morbidity.
PURPOSE: The primary aim of this study was to characterise complications, identify predictors of postoperative morbidity and mortality and to evaluate existing risk prediction models in elderly rectal cancerpatients. METHODS: An observational single-centre study of 330 consecutive patients >75 years treated in 1994-2006. Analyses were performed by age group: 75-79 years, 80-85 years and >85 years. RESULTS: Total observed in-hospital morbidity was 48.7 %. In multivariate analysis, age (OR 1.04, 95 % CI 1.01-1.08, p = 0.04), ASA grade ≥ 3 (p = 0.01), acute presentation (OR 1.67, 95 % CI 1.2-13.2, p = 0.02) and major surgery (APR OR 3.72, 95 % CI 1.37-10.15, p = 0.01, LAR OR 2.98, 95 % CI 1.14-7.79, p = 0.03, Hartmann OR 5.46, 95 % CI 1.60-19.28, p = 0.02) were independent risk factors for postoperative morbidity. The 30-day mortality was 6.3, 6.4 and 14.3 % (p = 0.146) in the three age groups, and the 100-day mortality was 8.7, 10.1 and 22.2 % (p = 0.03), respectively. ASA group 3 (OR 6.21, 95 % CI 4.39-27.69, p = 0.017), ASA group 4 (OR 32.6, 95 % CI 5.12-207.75, p < 0.001) and acute presentation (OR 6.48, 95 % CI 1.62-25.99, p = 0.008) increased the risk of 100-day mortality. The Physiological and Operative Severity Score for enUmeration of Mortality and Morbidity (POSSUM) observed/estimated (O/E) ratio for morbidity was 1.05. For 30-day mortality, the colorectal POSSUM (Cr-POSSUM) O/E ratio was 0.74, Surgical Risk Scale 0.61 and the Association of Coloproctology of Great Britain and Ireland (ACPGBI) mortality model 0.63, and for 100-day mortality, ratios were 1.12, 0.91 and 0.95, respectively. CONCLUSION: In this series, age increased the risk of in-hospital morbidity and 100-day mortality. Cr-POSSUM, SRS and ACPGBI overestimated 30-day mortality but predicted 100-day mortality with a high degree of accuracy. POSSUM correctly predicted in-hospital morbidity.
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