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Postoperative infections constitute more than half of all postoperative complications. Surveillance of these complications is primarily done through manual chart review, which is time consuming, expensive, and typically only covers 10% to 15% of all operations. Automated surveillance would permit the timely evaluation of and reporting of all operations.The goal of this study was to develop and validate parsimonious, interpretable models for conducting surveillance of postoperative infections using structured electronic health records data. This was a retrospective study using 30,639 unique operations from 5 major hospitals between 2013 and 2019. Structured electronic health records data were linked to postoperative outcomes data from the American College of Surgeons National Surgical Quality Improvement Program. Predictors from the electronic health records included diagnoses, procedures, and medications. Infectious complications included surgical site infection, urinary tract infection, sepsis, and pneumonia within 30 days of surgery. The knockoff filter, a penalized regression technique that controls type I error, was applied for variable selection. Models were validated in a chronological held-out dataset.Seven percent of patients experienced at least one type of postoperative infection. Models selected contained between 4 and 8 variables and achieved0.91 area under the receiver operating characteristic curve,81% specificity,87% sensitivity,99% negative predictive value, and 10% to 15% positive predictive value in a held-out test dataset.Surveillance and reporting of postoperative infection rates can be implemented for all operations with high accuracy using electronic health records data and simple linear regression models.

Delays in obtaining care may lead to perforated appendicitis, increasing risk of morbidity and mortality. We previously explored the role of social determinants in patients undergoing cholecystectomy, finding that emergent presentation is associated with neighborhood Social Vulnerability Index (SVI). We hypothesize that social vulnerability is associated with increased incidence of perforated appendicitis.We retrospectively identified patients presenting to our urban, academic hospital with acute appendicitis during a 9-month timeframe (11/2019 - 7/2020). Patients were classified as perforated or non-perforated. Patient SVI was determined using geocoding at the census tract level. Because rates of perforation were higher in older patients, we performed a subset analysis of patients ≥ 40 years.190 patients were included. Patients with perforated appendicitis (n = 48, 25%) were older and were more likely to present to a clinic versus the emergency department (P = 0.009). Perforated patients had longer delay before seeking care (56% versus 6% with72 hours of symptoms, P0.001). However, there were no differences between groups in terms of sex, race/ethnicity, insurance type, language barrier, having a primary care physician, or any of the SVI subscales. Of patients ≥ 40 years, a higher proportion were perforated (28/80, 35%) despite similar rates of delayed care. In this cohort, higher overall SVI as well as the socioeconomic status and household composition/disability subscales were associated with perforation.Contrary to our hypothesis, while perforation was associated with delayed care in this population, we did not find overall that social vulnerability or individual social determinants accounted for this delay.

This study aims to characterize suicide and associated disparities among persons experiencing homelessness (PEH).We reviewed suicide victims in the National Violent Death Reporting System (NVDRS) from 2003 to 2018 and compared factors surrounding suicides of PEH to factors of housed victims. We also utilized the Point-in-Time (PIT) survey (2010-2018), and census population estimates, to estimate suicide rates among PEH and the wider population.1.1% of suicide victims were described as experiencing homelessness at the time of their deaths, a value that is disproportional given the overall homeless rates of 0.2% in the past decade. Compared to nonhomeless victims, PEH were more likely to be younger, Black, male, and nonveterans. PEH were significantly more likely to have an identified alcohol/substance use disorder. PEH were half as likely to die via firearm and were more likely to die in natural areas, motels, and the streets. PEH were significantly more likely to have a history of suicidal thoughts, a history of suicide attempts, and a history of disclosure of intent, particularly to health care workers.PEH are disproportionately overrepresented among all suicide victims, but the circumstances surrounding their deaths create opportunity for targeted interventions.