Establishing the clinical relevance of grade A post-hepatectomy liver failure.

INTRODUCTION: The International Study Group of Liver Surgery's criteria stratifies post-hepatectomy liver failure (PHLF) into grades A, B, and C. The clinical significance of these grades has not been fully established. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) hepatectomy-targeted database was analyzed. Outcomes between patients without PHLF, with grade A PHLF, and grade B or C PHLF were compared. Univariate and multivariable logistic regression were performed. RESULTS: Six thousand two hundred seventy-four adults undergoing elective major hepatectomy were included in the analysis. The incidence of grade A PHLF was 4.3% and grade B or C was 5.3%. Mortality was similar between patients without PHLF (1.2%) and with grade A PHLF (1.1%), but higher in those with grades B or C PHLF (25.4%). Overall morbidities rates were 19.3%, 41.7%, and 72.8% in patients without PHLF, with grade A PHLF, and with grade B or C PHLF, respectively (p < 0.001). Grade A PHLF was associated with increased morbidity (grade A: odds ratios [OR] 2.7 [95% CI: 2.0-3.5]), unplanned reoperation (grade A: OR 3.4 [95% CI: 2.2-5.1]), nonoperative intervention (grade A: OR 2.6 [95% CI: 1.9-3.6]), length of stay (grade A: OR 3.1 [95% CI: 2.3-4.1]), and readmission (grade A: OR 1.8 [95% CI: 1.3-2.5]) compared to patients without PHLF. CONCLUSIONS: Although mortality was similar between patients without PHLF and with grade A PHLF, other postoperative outcomes were notably inferior. Grade A PHLF is a clinically distinct entity with relevant associated postoperative morbidity.

Multisite Implementation of an American College of Surgeons Geriatric Surgery Quality Improvement Initiative.

BACKGROUND: The American College of Surgeons (ACS) Coalition for Quality in Geriatric Surgery (CQGS) identified standards of surgical care for the growing, vulnerable population of aging adults in the US. The aims of this study were to determine implementation feasibility for 30 selected standards, identify barriers and best practices in their implementation, and further refine these geriatric standards and verification process. STUDY DESIGN: The CQGS requested participation from hospitals involved in the ACS NSQIP Geriatric Surgery Pilot Project, previous CQGS feasibility analyses, and hospitals affiliated with a core development team member. Thirty standards were selected for implementation. After implementation, site visits were conducted, and postvisit surveys were distributed. RESULTS: Eight hospitals were chosen to participate. Program management (55%), immediate preoperative and intraoperative clinical care (62.5%), and postoperative clinical care (58%) had the highest mean percentage of "fully compliant" standards. Goals and decision-making (30%), preoperative optimization (28%), and transitions of care (12.5%) had the lowest mean percentage of fully compliant standards. Best practices and barriers to implementation were identified across 13 of the 30 standards. More than 80% of the institutions reported that participation changed the surgical care provided for older adults. CONCLUSIONS: This study represents the first national implementation assessment undertaken by the ACS for one of its quality programs. The CQGS pilot testing was able to demonstrate implementation feasibility for 30 standards, identify challenges and best practices, and further inform dissemination of the ACS Geriatric Surgery Verification Program.

Influence of Perioperative COVID-19 Infection on Surgical Outcomes and Risk Adjustment for Quality Assessment in the American College of Surgeons NSQIP.

BACKGROUND: Surgical patients with perioperative coronavirus disease 19 (COVID-19) infection experience higher rates of adverse events than those without COVID-19, which may lead to imprecision in hospital-level quality assessment. Our objectives were to quantify differences in COVID-19-associated adverse events in a large national sample and examine distortions in surgical quality benchmarking if COVID-19 status is not considered. STUDY DESIGN: Data included 793,280 patient records from the American College of Surgeons NSQIP from April 1, 2020, to March 31, 2021. Models predicting 30-day mortality, morbidity, pneumonia, and ventilator dependency greater than 48 hours, and unplanned intubation were constructed. Risk adjustment variables were selected for these models from standard NSQIP predictors and perioperative COVID-19 status. RESULTS: A total of 5,878 (0.66%) had preoperative COVID-19, and 5,215 (0.58%) had postoperative COVID-19. COVID-19 rates demonstrated some consistency across hospitals (median preoperative 0.84%, interquartile range 0.14% to 0.84%; median postoperative 0.50%, interquartile range 0.24% to 0.78%). Postoperative COVID-19 was always associated with increased adverse events. For postoperative COVID-19 among all cases, there was nearly a 6-fold increase in mortality (1.07% to 6.37%) and15-fold increase in pneumonia (0.92% to 13.57%), excluding the diagnosis of COVID-19 itself. The effects of preoperative COVID-19 were less consistent. Inclusion of COVID-19 in risk-adjustment models had minimal effects on surgical quality assessments. CONCLUSIONS: Perioperative COVID-19 was associated with a dramatic increase in adverse events. However, quality benchmarking was minimally affected. This may be the result of low overall COVID-19 rates or balance in rates established across hospitals during the 1-year observational period. There remains limited evidence for restructuring ACS NSQIP risk-adjustment for the time-limited effects of the COVID-19 pandemic.