Instrument and Supply Variability: An Opportunity to Reduce the Carbon Footprint of the Operating Room.

INTRODUCTION: Reducing costs and carbon footprints are important, parallel priorities for the US health-care system. Within surgery, reducing the number of instruments that are sterilized and disposable supplies that are used for each operation may help achieve both goals. We wanted to measure the existing variability in surgical instrument and supply choices and assess whether standardization could have a meaningful cost and environmental impact. METHODS: We analyzed surgeon preference cards for common general surgery operations at our hospital to measure the number of sterilizable instrument trays and supplies used by each surgeon for each operation. From this data, we calculated supply costs, carbon footprint, and median operative time and studied the variability in each of these metrics. RESULTS: Among the ten operations studied, variability in sterilizable instrument trays requested on surgeon preference cards ranged from one to eight. Variability in disposable supplies requested ranged from 17 to 45. Variability in open supply costs ranged from $104 to $4184. Variability in carbon footprint ranged from 17 to 708 kg CO2e. If the highest-cost surgeon for each operation switched their preference card to that of the median-cost surgeon, $245,343 in open supply costs and 41,708 kg CO2e could be saved. CONCLUSIONS: There is significant variability in the instrument and supply choices of surgeons performing common general surgery operations. Standardizing this variability may lead to meaningful cost savings and carbon footprint reduction, especially if scaled across the entire health system.

The Cook Score: A Novel Assessment for the Prediction of Liver-Associated Clinical Events in a Diverse Population.

BACKGROUND AND AIMS: Transient elastography (TE) provides accurate quantification of liver fibrosis. Its usefulness could be significantly amplified in terms of predicting liver-associated clinical events (LACE). Our aim was to create a model that accurately predicts LACE by combining the information provided by TE with other variables in patients with chronic liver disease (CLD). METHODS: We retrospectively reviewed the electronic medical records of patients who underwent liver elastography, at John H. Stroger Hospital in Cook County, Chicago, IL. The incidences of LACE were documented including decompensation of CLD, new hepatocellular carcinoma, and liver-associated mortality. Significant predicting factors were identified through a forward stepwise Cox regression model. We used the beta-coefficients of these risk factors to construct the Cook Score for prediction of LACE. Receiver-operating characteristic (ROC) curves were plotted for Cook Score to evaluate its efficiency in prediction, in comparison with MELD-Na Score and FIB-4 Score. RESULTS: A total of 3097 patients underwent liver elastography at our institution. Eighty-eight LACE were identified. Age (hazard ratio (HR) 1.04, p = 0.002), aspartate aminotransferase to alanine aminotransferase ratio (HR 2.61, p < 0.001), platelet count (HR 0.98, p < 0.001), international normalized ration (INR) (HR 17.80, p < 0.001), and liver stiffness measurement (HR1.04, p < 0.001) were identified as significant predictors. The Cook Score was constructed with two optimal cut-off points to stratify patients into low-, intermediate-, and high-risk groups for LACE. The Cook Score proved superior than MELD-Na Score and FIB4 Score in predicting LACE with an area under curve of 0.828. CONCLUSION: This novel score based on a large robust sample would provide accurate prediction of prognosis in patients with chronic liver disease and guide individualized surveillance strategy once validated with future studies.

A comparison of quality of care indicators in urban acute care hospitals and rural critical access hospitals in the United States.

OBJECTIVE: Two recent Institute of Medicine reports highlight that the quality of healthcare in the US is less than what should be expected from the world's most extensive and expensive healthcare system. This may be especially true for critical access hospitals since these smaller rural-based hospitals often have fewer resources and less funding than larger urban hospitals. The purpose of this paper was to compare quality of hospital care provided in urban acute care hospitals to that provided in rural critical access hospitals. DESIGN: Cross-sectional study analyzing secondary Hospital Compare data. T-test statistics were computed on weighted data to ascertain if differences were statistically significant (P=0.01). SETTING: Centers for Medicare and Medicaid Services hospitals. PARTICIPANTS: US Acute Care and Critical Access hospitals. MAIN OUTCOME MEASURES: Differences between urban acute care hospitals and rural critical access hospitals on quality care indicators related to acute myocardial infarction, heart failure and pneumonia. RESULTS: For 8 of the 12 hospital quality indicators the differences between urban acute care and rural critical access hospitals were statistically significant (P=0.01). In seven instances these differences favored urban hospitals. One indicator related to pneumonia favored rural hospitals CONCLUSIONS: Although this study focused on only three disease states, these are among the most common clinical conditions encountered in inpatient settings. The findings suggested that there may be differences in quality in rural critical access hospitals and urban acute care hospitals and support the need for future studies addressing disparities between urban acute care and rural critical access hospitals.