Getting back 'home' after emergency laparotomy: how many never make it?

BACKGROUND: Emergency laparotomy (EL) is performed on about 15 500 patients in Australia each year. Aside from mortality there is significant concern about the possibility that previously independent patients discharged after EL will become reliant on long-term dependent care. This study aimed to establish the proportion of patients not returning to their pre-admission residence, a proxy for dependent care, following EL. METHODS: Data were collected on all adult patients who underwent EL across four Australian hospitals over 2 years. A total of 113 data points were collected including pre-hospital residence, discharge destination, mortality and place of residence at 90 and 365 days. RESULTS: A total of 782 patients underwent EL, the mean age was 64 years. Pre-admission, 95.5% of patients were living in their own home. Inpatient mortality was 7.0% and at discharge 72.4% of patients returned directly back to their pre-hospital residence. At 90 days, mortality was 10.5%, and 87% of patients had returned to their pre-hospital residence, including all patients under 70 years of age. By 365 days, overall mortality was 16.8%, and only 1.5% of patients (all aged >70 years) had not returned to their pre-hospital residence. CONCLUSION: Patients who survive 90 and 365 days following EL nearly all return to their pre-hospital residence, with only a very small proportion of previously independent patients entering dependent care. This should help inform shared decision-making regarding emergency laparotomy in the acute setting.

Combining sarcopenia and ASA status to inform emergency laparotomy outcomes: could it be that simple?

BACKGROUND: Risk assessment for emergency laparotomy (EL) is important for guiding decision-making and anticipating the level of perioperative care in acute clinical settings. While established tools such as the American College of Surgeons National Surgical Quality Improvement Program calculator (ACS-NSQIP), the National Emergency Laparotomy Audit Risk Prediction Calculator (NELA) and the Portsmouth Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity calculation (P-POSSUM) are accurate predictors for mortality, there has been increasing recognition of the benefits from including measurements for frailty in a simple and quantifiable manner. Psoas muscle to 3rd lumbar vertebra area ratio (PM:L3) measured on CT scans was proven to have a significant inverse association with 30-, 90- and 365-day mortality in EL patients. METHODS: A retrospective analysis was conducted of 500 patients admitted to four Australian hospitals who underwent EL during 2016-2017, and had contemporaneous abdomino-pelvic CT scans. Radiological sarcopenia was measured as PM:L3 ratios. ASC-NSQIP, NELA and P-POSSUM were retrospectively calculated. Univariate and multivariate logistic regression modelling was used to assess these ratios and scores, as well as American Society of Anaesthesiologists (ASA) classification separated into ASA I-III and IV/V (simplified ASA), as potential predictors of 30-, 90- and 365-day mortality. RESULTS: PM:L3, simplified ASA, ACS-NSQIP, NELA and P-POSSUM were each statistically significant predictors of 30-day, 90-day and 365-day mortality (P < 0.001). Logistic regression models of 30-, 90- and 365-day mortality combining PM:L3 (P = 0.001) and simplified ASA (P < 0.001) exhibited AUCs of 0.838 (0.780, 0.896), 0.805 (0.751, 0.860) and 0.775 (0.729, 0.822), respectively, which were comparable to that of ACS-NSQIP and NELA. CONCLUSION: Combining the semi-physiological parameter ASA classification with PM:L3 provides a quick and simple alternative to the more complex established risk assessment scores and is superior to PM:L3 alone.

Sarcopenia 'made simple' and outcomes from emergency laparotomy.

BACKGROUND: Emergency Laparotomy (EL) is recognized as high-risk surgery with high mortality. Established surgical risk assessment tools (NELA Risk Prediction Calculator, P-POSSUM, ACS-NSQIP) are accurate predictors of morbidity and mortality. However, their multicomponent complexity limits their use in practice. Sarcopenia is associated with poorer surgical outcomes. This study tests for an association between a simple measure of radiological sarcopenia and mortality in EL patients in an Australian cohort. METHODS: A retrospective analysis was conducted of 500 patients admitted to four Australian hospitals who underwent EL during 2016-2017. All patients had a contemporaneous abdomino-pelvic CT scan. Radiological sarcopenia was measured as the ratio of total psoas muscle area (PM) to L3 vertebral body cross sectional area (PM:L3). Patients were followed up to 12 months. Primary outcomes were 30-, 90- and 365-day mortality. RESULTS: The mean 30-day mortality predictions for NELA, P-POSSUM and ACS-NSQIP were 11.36%, 17.28% and 11.30% respectively. PM:L3 ratio was associated with 30-, 90- and 365-day mortality (P < 0.001) and sex (P < 0.001) and negatively correlated with age (r = -0.4612; P < 0.001). Radiological sarcopenia had a weak negative correlation with NELA (r = -0.2737; P < 0.001), P-POSSUM (r = -0.1880; P < 0.001) and ACS-NSQIP (r = -0.2351; P < 0.001). The latter three metrics were significantly correlated (r > 0.5696; P < 0.001). CONCLUSION: Radiological sarcopenia (CT-assessed PM:L3) is a significant predictor of mortality in EL patients in Australia. The results of this study suggest that radiological sarcopenia is equivalent to established risk assessment tools. The more timely and easily accessible CT-assessed PM:L3 metric is potentially automatable and may have significant utility in clinical practice.