The Impact of Steroids and Inflammatory Bowel Disease in Colectomies in the Era of Enhanced Recovery.

INTRODUCTION: Enhanced recovery after surgery protocols are commonly used, but their utility in patients with inflammatory bowel disease and steroid use is poorly studied. We sought to examine influence of inflammatory bowel disease (IBD) and steroid use on hospital length of stay (LOS) and operative duration in patients undergoing colectomies in the era of ERAS. METHODS: We performed retrospective review of our institutional National Surgical Quality Improvement Program (NSQIP) registry (2016-2018) for colectomies. We performed 2 distinct analyses to examine influence of steroids and IBD on LOS and operative duration. Multivariable linear regression was used to predict outcomes after adjusting for relevant perioperative features. RESULTS: There were 366 patients in the cohort; 17.8% were on steroids and 16.4% had IBD. Patients using steroids had longer LOS (6 vs 4 days, P < .0001). IBD patients had a longer LOS (7 vs 5 days, P < .0001) and longer operative duration (383 min vs 335.5 minute, P = .01) compared to non-IBD patients. On multivariable analysis, steroid use was not associated with increased LOS or operative duration. Inflammatory bowel disease was associated with an increased hospital LOS and operative duration. DISCUSSION: Patients on steroids had longer LOS when compared to patients not on steroids. Inflammatory bowel disease regardless of steroid use was found to be a significant risk factor for both increased LOS and operative duration. A closer look at preoperative physiology may help to tailor ERAS protocols in patients with inflammatory conditions.

Organ-Space Surgical Site Infections: Consequences and Prediction Using ACS-NSQIP.

BACKGROUND: The incidence of organ-space surgical site infections (OSIs) across the US has not decreased to the same extent as superficial and deep surgical site infections (SSIs). This study aimed to highlight the consequences and create a predictive model of OSIs using 2019 NSQIP data. MATERIALS AND METHODS: The primary data source was the ACS NSQIP 2019 Participant Use Targeted File (PUF). Chi-squared and independent t-tests evaluated the association of OSIs and other postoperative complications. Variables of interest for our predictive model included 10 surgery types, 10 relevant preoperative laboratory values, and 26 other variables including demographics and comorbidities. A stepwise logistic regression model fit with OSIs as the outcome was used to calculate the predicted ROC and c-index. RESULTS: A total of 1,076,441 cases submitted from 719 NSQIP-participating sites were included in our analysis, comprised of 16,751 (1.6%) OSIs with a median of 10 days (IQR: 11 days) between surgery and the development of an OSI. Forty-two variables were included in our final multivariable analysis. Esophageal and pancreatic surgeries yielded an approximate 4- and 6-fold higher increase in the odds of OSI, respectively (P < .001). ROC analysis yielded a c-index statistic of 0.846 (Figure 1). Associated consequences of OSIs included hospital readmission (OR = 20.74, 95% CI: 20.094-21.412, p < .001), sepsis (OR = 35.084; 95%CI: 33.75-36.47, p < .001) and higher probabilities of mortality (34% vs. 0.8%, p < .001) and morbidity (16% vs. 5.8%, p < .001). DISCUSSION: OSIs have extensive consequences and may be predictable. These types of infections are multifactorial and require quality surveillance distinct from other SSIs.

Environmental chemicals and metabolic disruption in primary and secondary human parathyroid tumors.

BACKGROUND: The incidence of primary hyperparathyroidism has increased 300% in the United States in the past 30 years, and secondary hyperparathyroidism is almost universal in patients with end-stage renal disease. We assessed the presence of environmental chemicals in human hyperplastic parathyroid tumors as possible contributing factors to this increase. METHODS: Cryopreserved hyperplastic parathyroid tumors and normal human parathyroids were analyzed by gas chromatography and liquid chromatography coupled to ultra-high-resolution mass spectrometry, bioinformatics, and biostatistics. RESULTS: Detected environmental chemicals included polychlorinated biphenyls, polybrominated diphenyl ethers, dichloro-diphenyl-trichloroethane derivatives, and other insecticides. A total of 99% had p,p'-dichlorodiphenyldichloroethylene. More than 50% contained other environmental chemicals, and many classified as endocrine disruptors. Polychlorinated biphenyl-28 and polychlorinated biphenyl-49 levels correlated positively with parathyroid tumor mass. Polybrominated diphenyl ether-47 concentrations in tumors were inversely correlated with patients' serum calcium levels. Cellular metabolites in pathways of purine and pyrimidine synthesis and mitochondrial energy production were associated with tumor growth and with p,p'-dichlorodiphenyldichloroethylene in primary hyperparathyroidism tumors. In normal parathyroids, p,p'-dichlorodiphenyldichloroethylene , polychlorinated biphenyl-28, polychlorinated biphenyl-74, and polychlorinated biphenyl-153, but not p,p'-dichlorodiphenyldichloroethylene or polychlorinated biphenyl-49, were detected. CONCLUSION: Environmental chemicals are present in human parathyroid tumors and warrant detailed epidemiologic and mechanistic studies to test for causal links to the growth of human parathyroid tumors.

Identification of Important Features in Mobile Health Applications for Surgical Site Infection Surveillance.

Background: A landscape analysis of mobile health (mHealth) applications and published literature related to their use in surgical site infection (SSI) detection and surveillance was conducted by the Assessing Surgical Site Infection Surveillance Technologies (ASSIST) investigators. Methods: The literature review focused on post-discharge SSI detection or tracking by caregivers or patients using mHealth technology. This report is unique in its review across both commercial and research-based mHealth apps. Apps designed for long-term wound tracking and those focused on care coordination and scheduling were excluded. A structured evaluation framework was used to assess the operational, technical, and policy features of the apps. Results: Of the 10 apps evaluated, only two were in full clinical use. A variety of data were captured by the apps including wound photographs (eight apps), wound measurements (three apps), dressing assessments (two apps), physical activity metrics (three apps), medication adherence (three apps) as well as structured surveys, signs, and symptoms. Free-text responses were permitted by at least two apps. The extent of integration with the native electronic health record system was variable. Conclusion: The examination of rapidly evolving technologies is challenged by lack of standard evaluative methods, such as those more commonly used in clinical research. This review is unique in its application of a structured evaluation framework across both commercial and research-based mHealth apps.

Solving the Value Equation: Assessing Surgeon Performance Using Risk-Adjusted Quality-Cost Diagrams and Surgical Outcomes.

Quality-cost diagrams have been used previously to assess interventions and their cost-effectiveness. This study explores the use of risk-adjusted quality-cost diagrams to compare the value provided by surgeons by presenting cost and outcomes simultaneously. Colectomy cases from a single institution captured in the National Surgical Quality Improvement Program database were linked to hospital cost-accounting data to determine costs per encounter. Risk adjustment models were developed and observed average cost and complication rates per surgeon were compared to expected cost and complication rates using the diagrams. Surgeons were surveyed to determine if the diagrams could provide information that would result in practice adjustment. Of 55 surgeons surveyed on the utility of the diagrams, 92% of respondents believed the diagrams were useful. The diagrams seemed intuitive to interpret, and making risk-adjusted comparisons accounted for patient differences in the evaluation.

Improving quality of surgical care and outcomes: factors impacting surgical site infection after colorectal resection.

Surgical site infections (SSIs) result in patient morbidity and increased costs. The purpose of this study was to determine reasons underlying SSI to enable interventions addressing identified factors. Combining data from the American College of Surgeons National Surgical Quality Improvement Project with medical record extraction, we evaluated 365 patients who underwent colon resection from January 2009 to December 2012 at a single institution. Of the 365 patients, 84 (23%) developed SSI. On univariate analysis, significant risk factors included disseminated cancer, ileostomy, patient temperature less than 36°C for greater than 60 minutes, and higher glucose level. The median number of cases per surgeon was 36, and a case volume below the median was associated with a higher risk of SSI. On multivariate analysis, significant risks associated with SSI included disseminated cancer (odds ratio [OR], 4.31; P < .001); surgery performed by a surgeon with less than 36 cases (OR, 2.19; P = .008); higher glucose level (OR, 1.06; P = .017); and transfusion of five units or more of blood (OR, 3.26; P = .029). In this study we found both modifiable and unmodifiable factors associated with increased SSI. Identifying modifiable risk factors enables targeting specific areas to improve the quality of care and patient outcomes.