COVID-19 Variant Surveillance and Social Determinants in Central Massachusetts: Development Study.

BACKGROUND: Public health scientists have used spatial tools such as web-based Geographical Information System (GIS) applications to monitor and forecast the progression of the COVID-19 pandemic and track the impact of their interventions. The ability to track SARS-CoV-2 variants and incorporate the social determinants of health with street-level granularity can facilitate the identification of local outbreaks, highlight variant-specific geospatial epidemiology, and inform effective interventions. We developed a novel dashboard, the University of Massachusetts' Graphical user interface for Geographic Information (MAGGI) variant tracking system that combines GIS, health-associated sociodemographic data, and viral genomic data to visualize the spatiotemporal incidence of SARS-CoV-2 variants with street-level resolution while safeguarding protected health information. The specificity and richness of the dashboard enhance the local understanding of variant introductions and transmissions so that appropriate public health strategies can be devised and evaluated. OBJECTIVE: We developed a web-based dashboard that simultaneously visualizes the geographic distribution of SARS-CoV-2 variants in Central Massachusetts, the social determinants of health, and vaccination data to support public health efforts to locally mitigate the impact of the COVID-19 pandemic. METHODS: MAGGI uses a server-client model-based system, enabling users to access data and visualizations via an encrypted web browser, thus securing patient health information. We integrated data from electronic medical records, SARS-CoV-2 genomic analysis, and public health resources. We developed the following functionalities into MAGGI: spatial and temporal selection capability by zip codes of interest, the detection of variant clusters, and a tool to display variant distribution by the social determinants of health. MAGGI was built on the Environmental Systems Research Institute ecosystem and is readily adaptable to monitor other infectious diseases and their variants in real-time. RESULTS: We created a geo-referenced database and added sociodemographic and viral genomic data to the ArcGIS dashboard that interactively displays Central Massachusetts' spatiotemporal variants distribution. Genomic epidemiologists and public health officials use MAGGI to show the occurrence of SARS-CoV-2 genomic variants at high geographic resolution and refine the display by selecting a combination of data features such as variant subtype, subject zip codes, or date of COVID-19-positive sample collection. Furthermore, they use it to scale time and space to visualize association patterns between socioeconomics, social vulnerability based on the Centers for Disease Control and Prevention's social vulnerability index, and vaccination rates. We launched the system at the University of Massachusetts Chan Medical School to support internal research projects starting in March 2021. CONCLUSIONS: We developed a COVID-19 variant surveillance dashboard to advance our geospatial technologies to study SARS-CoV-2 variants transmission dynamics. This real-time, GIS-based tool exemplifies how spatial informatics can support public health officials, genomics epidemiologists, infectious disease specialists, and other researchers to track and study the spread patterns of SARS-CoV-2 variants in our communities.

Upper Gastrointestinal Perforations: A Possible Danger of Antibiotic Overuse.

BACKGROUND: The role of changes in gut microflora on upper gastrointestinal (UGI) perforations is not known. We conducted a retrospective case-control study to examine the relationship between antibiotic exposure-a proxy for microbiome modulation-and UGI perforations in a national sample. METHODS: We queried a 5% random sample of Medicare (2009-2013) to identify patients ≥ 65 years old hospitalized with UGI (stomach or small intestine) perforations using International Classification of Diseases diagnosis codes. Cases with UGI perforations were matched with 4 controls, each based on age and sex. Exposure to outpatient antibiotics (0-30, 31-60, 61-90 days) prior to case patients' index hospitalization admission data was determined with Part D claims. Univariate and multivariable regression analyses were performed to evaluate the effect of antibiotic exposure on UGI perforation. RESULTS: Overall, 504 cases and 2016 matched controls were identified. Compared to controls, more cases had antibiotic exposure 0-30 days (19% vs. 3%, p < 0.001) and 31-60 days (5% vs. 2%, p < 0.001) prior to admission. In adjusted analyses, antibiotic exposure 0-30 days prior to admission was associated with 6.8 increased odds of an UGI perforation (95% CI 4.8, 9.8); 31-60 days was associated with 1.9 increased odds (95% CI 1.1, 3.3); and 61-90 days was associated with 3.7 increased odds (95% CI 2.0, 6.9). CONCLUSIONS: Recent outpatient antibiotic use, in particular in the preceding 30 days, is associated with UGI perforation among Medicare beneficiaries. Exposure to antibiotics, one of the most modifiable determinants of the microbiome, should be minimized in the outpatient setting.

The influence of payor status on outcomes associated with surgical repair of upper gastrointestinal perforations due to peptic ulcer disease in the United States.

BACKGROUND: An association between lack of insurance and inferior outcomes has been well described for a number of surgical emergencies, yet little is known about the relationship of payor status and outcomes of patients undergoing emergent surgical repair for upper gastrointestinal (UGI) perforations. We evaluated the association of payor status and in-hospital mortality for patients undergoing emergency surgery for UGI perforations in the United States. METHODS: Nationwide Inpatient Sample (NIS) was queried to identify patients between 18 and 64 years of age who underwent emergent (open or laparoscopic) repair for UGI perforations secondary to peptic ulcer disease (2010-2014). Primary outcome was in-hospital mortality. Secondary outcomes were major and minor postoperative complications. The main predictor outcome was insurance status (Private, Medicaid, Uninsured). Univariate and multivariable regression analyses were performed. Data were weighted to provide national estimates. RESULTS: 21,005 patients underwent surgical repair for UGI perforations. Patients with private insurance represented the largest payor group (47%). After adjustment of other factors, payor status was not a statistically significant predictor of in-hospital mortality (Medicaid vs. Private: [OR] 1.1; 95% [CI] 0.67-1.81; Uninsured vs. Private: OR 0.9, 95% CI 0.52-1.61). However, payor status remained a statistically significant predictor of major postoperative complications (Medicaid vs. Private [OR] 1.4; 95% CI 1.1, 1.8; Uninsured vs. Private [OR]1.2, 95% CI 0.9, 1.5) and minor postoperative complications (Medicaid vs. Private [OR] 1.4; 95% CI 1.1, 1.9; Uninsured vs. Private [OR]1.2, 95% CI 0.9, 1.6). CONCLUSIONS: Emergency surgery for UGI perforations is associated with high mortality and morbidity across all payor classes; however, Medicaid is a predictor for both major and minor postoperative complications. Preventing perforation through preventative measures will be key to reducing the burden of peptic ulcer disease across all populations.