Variation in Risk-Adjusted Ventilator-Associated Pneumonia (VAP) Days Within a Quality Collaborative.

INTRODUCTION: Ventilator-associated pneumonia (VAP) is associated with increased mortality, prolonged mechanical ventilation, and longer intensive care unit stays. The rate of VAP (VAPs per 1000 ventilator days) within a hospital is an important quality metric. Despite adoption of preventative strategies, rates of VAP in injured patients remain high in trauma centers. Here, we report variation in risk-adjusted VAP rates within a statewide quality collaborative. METHODS: Using Michigan Trauma Quality Improvement Program data from 35 American College of Surgeons-verified Level I and Level II trauma centers between November 1, 2020 and January 31, 2023, a patient-level Poisson model was created to evaluate the risk-adjusted rate of VAP across institutions given the number of ventilator days, adjusting for injury severity, physiologic parameters, and comorbid conditions. Patient-level model results were summed to create center-level estimates. We performed observed-to-expected adjustments to calculate each center's risk-adjusted VAP days and flagged outliers as hospitals whose confidence intervals lay above or below the overall mean. RESULTS: We identified 538 VAP occurrences among a total of 33,038 ventilator days within the collaborative, with an overall mean of 16.3 VAPs per 1000 ventilator days. We found wide variation in risk-adjusted rates of VAP, ranging from 0 (0-8.9) to 33.0 (14.4-65.1) VAPs per 1000 d. Several hospitals were identified as high or low outliers. CONCLUSIONS: There exists significant variation in the rate of VAP among trauma centers. Investigation of practices and factors influencing the differences between low and high outlier institutions may yield information to reduce variation and improve outcomes.

Association of Intellectual Disability with Delayed Presentation and Worse Outcomes in Emergency General Surgery.

OBJECTIVE: To examine the association between intellectual disability and both severity of disease and clinical outcomes among patients presenting with common emergency general surgery (EGS) conditions. BACKGROUND: Accurate and timely diagnosis of EGS conditions is crucial for optimal management and patient outcomes. Individuals with intellectual disabilities may be at increased risk of delayed presentation and worse outcomes for EGS; however, little is known about surgical outcomes in this population. METHODS: Using the 2012-2017 Nationwide Inpatient Sample, we conducted a retrospective cohort analysis of adult patients admitted for 9 common EGS conditions. We performed multivariable logistic and linear regression to examine the association between intellectual disability and the following outcomes: EGS disease severity at presentation, any surgery, complications, mortality, length of stay, discharge disposition, and inpatient costs. Analyses were adjusted for patient demographics and facility traits. RESULTS: Of 1,317,572 adult EGS admissions, 5,062 (0.38%) patients had a concurrent ICD-9/-10 code consistent with intellectual disability. EGS patients with intellectual disabilities had 31% higher odds of more severe disease at presentation compared with neurotypical patients (aOR 1.31; 95% CI 1.17-1.48). Intellectual disability was also associated with a higher rate of complications and mortality, longer lengths of stay, lower rate of discharge to home, and higher inpatient costs. CONCLUSION: EGS patients with intellectual disabilities are at increased risk of more severe presentation and worse outcomes. The underlying causes of delayed presentation and worse outcomes must be better characterized to address the disparities in surgical care for this often under-recognized but highly vulnerable population.

Surgeon behaviors related to engaging patients in smoking cessation at the time of elective surgery.

BACKGROUND: Despite the abundance of evidence supporting smoking cessation before elective surgery, there is wide variation in surgeon adherence to these best practices. METHODS: This qualitative study used convenience sampling to recruit General Surgery trained surgeons. Surgeons participated in semi-structured interviews based on domains from the Theoretical Domains Framework (TDF). Content analysis was guided by the TDF. RESULTS: Of the 14 TDF domains, social or professional role/identity, memory, attention and decision processes, environmental context and resources, and beliefs about consequences emerged most frequently. Mapping these domains to the Behavior Change Wheel identified education, enablement, and incentivization as effective intervention functions. CONCLUSIONS: Using the TDF, this study identified a widespread sense of responsibility among surgeons to engage patients in perioperative smoking cessation despite workplace barriers and lacking resources. These findings provide valuable insight to facilitate surgeon participation in health promotion through targeted, theory-based interventions informed by surgeon identified barriers to perioperative smoking cessation.

CT-measured Cortical Volume Ratio Is an Accurate Alternative to Nuclear Medicine Split Scan Ratio Among Living Kidney Donors.

BACKGROUND: The 125I-iothalamate clearance and 99mTc diethylenetriamine-pentaacetic acid (99mTc-DTPA) split scan nuclear medicine studies are used among living kidney donor candidates to determine measured glomerular filtration rate (mGFR) and split scan ratio (SSR). The computerized tomography-derived cortical volume ratio (CVR) is a novel measurement of split kidney function and can be combined with predonation estimated GFR (eGFR) or mGFR to predict postdonation kidney function. Whether predonation SSR predicts postdonation kidney function better than predonation CVR and whether predonation mGFR provides additional information beyond predonation eGFR are unknown. METHODS: We performed a single-center retrospective analysis of 204 patients who underwent kidney donation between June 2015 and March 2019. The primary outcome was 1-y postdonation eGFR. Model bases were created from a measure of predonation kidney function (mGFR or eGFR) multiplied by the proportion that each nondonated kidney contributed to predonation kidney function (SSR or CVR). Multivariable elastic net regression with 1000 repetitions was used to determine the mean and 95% confidence interval of R2, root mean square error (RMSE), and proportion overprediction ≥15 mL/min/1.73 m2 between models. RESULTS: In validation cohorts, eGFR-CVR models performed best (R2, 0.547; RMSE, 9.2 mL/min/1.73 m2, proportion overprediction 3.1%), whereas mGFR-SSR models performed worst (R2, 0.360; RMSE, 10.9 mL/min/1.73 m2, proportion overprediction 7.2%) (P < 0.001 for all comparisons). CONCLUSIONS: These findings suggest that predonation CVR may serve as an acceptable alternative to SSR during donor evaluation and furthermore, that a model based on CVR and predonation eGFR may be superior to other methods.