Physiological and operative severity score for the enumeration of mortality and morbidity scoring systems for assessment of patient outcome and impact of surgeons' and anesthesiologists' performance in hepatopancreaticobiliary surgery

Surgical Apgar score as a complication predictor in gastrointestinal oncologic surgery

INTRODUCTION AND AIMS

Surgical resection of gastrointestinal (GI) cancer is the cornerstone of curative treatment but entails considerable morbidity. The surgical Apgar score (SAS) is a practical and objective instrument that provides immediate feedback. The aim of the present study was to evaluate the performance of the SAS for predicting complications at 30 days in patients with primary GI cancer that underwent curative surgery.

MATERIALS AND METHODS

A prospective observational study was conducted that included 50 patients classified into a low SAS (≤ 4) group or a high SAS (≥ 5) group. Complications were defined as any event classified as a Clavien-Dindo grade II to V event. Bivariate and multivariate analyses were performed through the Cox regression and a p<0.05 was considered significant.

RESULTS

Overall postoperative morbidity was 50.0%, with no mortality. Eighty-six percent of cases were catalogued as having an ASA≥3. Eighty-eight percent had a high SAS, of whom 45.5% presented with a complication, whereas 12.0% had a low SAS and a complication rate of 83.3%. In the multivariate analysis, the BMI (OR: 3.351, 95% CI: 1.218-9.217, P=.019), SAS (OR: 0.266, 95% CI: 0.077-0.922, P=.037), surgery duration (OR: 3.170, 95% CI: 1.092-9.198, P=.034), and ephedrine use (OR: 0.356, 95% CI: 0.144-0.880, P=.025) were significantly associated with the development of adverse outcomes.

CONCLUSIONS

SAS was shown to be an independent predictive factor of postoperative morbidity at 30 days in the surgical management of GI cancer and appears to offer a reliable sub-stratification in a high-risk population with an ASA≥3.

Surgical Apgar Score predictive value for early postoperative organ dysfunction in cancer patients

BACKGROUND

Surgical APGAR Score (SAS) is based only on intraoperative data and has the advantage of being easy to calculate. Low SAS was associated with an increased risk for postoperative complications, but its utility for specific outcomes prediction, such as postoperative cardiovascular, renal, or metabolic dysfunction is less investigated. Our study aimed to investigate SAS predictive value for early postoperative organ dysfunction in a surgical oncological population.

METHODS

This is a prospective observational study that enrolled all consecutive patients submitted to oncologic surgery over 20-days. Registered parameters included demographics, comorbidities, diagnosis and surgery data, SAS score, postoperative complications, organ dysfunction and in-hospital mortality. SAS predictive value for postoperative organ dysfunction was assessed using logistic regression and ROC curves.

RESULTS

The study included 205 oncological patients with a mean age (standard deviation) of 60 (12.8) years. SAS was between 8 and 10 in 60% of patients and between 0 and 7 in 40% of patients. Postoperative complications developed in 33 patients (16.1%) and organ dysfunction in 26 patients (12.7%). The rates of postoperative complications, organ dysfunction and mortality, were significantly higher in patients with a low SAS (0-7) than high SAS (8-10). SAS had a low discrimination capacity to distinguish between patients who will develop postoperative complications and those who will not (AUROC 0.65) but was more accurate in identifying surgical oncological patients at risk for cardiovascular and metabolic dysfunction (AUROC 0.83 and 0.85 respectively).

CONCLUSION

SAS may be a useful tool to identify cancer surgery patients at risk for postoperative cardiovascular and metabolic dysfunction.

Surgical Apgar score as a complication predictor in gastrointestinal oncologic surgery

INTRODUCTION AND AIMS

Surgical resection of gastrointestinal (GI) cancer is the cornerstone of curative treatment but entails considerable morbidity. The surgical Apgar score (SAS) is a practical and objective instrument that provides immediate feedback. The aim of the present study was to evaluate the performance of the SAS for predicting complications at 30 days in patients with primary GI cancer that underwent curative surgery.

MATERIALS AND METHODS

A prospective observational study was conducted that included 50 patients classified into a low SAS (≤ 4) group or a high SAS (≥ 5) group. Complications were defined as any event classified as a Clavien-Dindo grade II to V event. Bivariate and multivariate analyses were performed through the Cox regression and a p < 0.05 was considered significant.

RESULTS

Overall postoperative morbidity was 50.0%, with no mortality. Eighty-six percent of cases were catalogued as having an ASA ≥ 3. Eighty-eight percent had a high SAS, of whom 45.5% presented with a complication, whereas 12.0% had a low SAS and a complication rate of 83.3%. In the multivariate analysis, the BMI (OR: 3.351, 95% CI: 1.218-9.217, P=.019), SAS (OR: 0.266, 95% CI: 0.077-0.922, P=.037), surgery duration (OR: 3.170, 95% CI: 1.092-9.198, P=.034), and ephedrine use (OR: 0.356, 95% CI: 0.144-0.880, P=.025) were significantly associated with the development of adverse outcomes.

CONCLUSIONS

SAS was shown to be an independent predictive factor of postoperative morbidity at 30 days in the surgical management of GI cancer and appears to offer a reliable sub-stratification in a high-risk population with an ASA ≥ 3.

Evaluation and validation of Physiological and Operative Severity Score for the enumeration of mortality and morbidity and Portsmouth-POSSUM scores in predicting morbidity and mortality in patients undergoing head and neck cancer surgeries

BACKGROUND

Identification of risk factors for perioperative complications helps in the prognostication. We wanted to determine whether Physiological and Operative Severity Score for the enumeration of mortality and morbidity (POSSUM) and Portsmouth-POSSUM (P-POSSUM) can be used in patients undergoing head and neck oncosurgery.

METHODS

We conducted a retrospective analysis of 1265 patients after they had major head and neck oncosurgeries. Demographic, surgical and outcome data was collected. We separately analyzed data for patients who had undergone cancer surgery for oral cavity, pharynx, and larynx. We calculated the POSSUM and P-POSSUM scores.

RESULTS

POSSUM scoring system had moderate discrimination (AUC = 0.61) and good calibration (P = .36) for the entire study cohort and in the subgroup. Since there were no deaths in the entire cohort, we were not able to check predictive ability of the scores, for mortality.

CONCLUSIONS

We found that POSSUM had moderate discrimination and good calibration for morbidity prediction in head and neck cancer surgeries, as well as for the selected subgroup.