Graduate Trainee, Medical College of Wisconsin
1 active project
Surgical Risk Stratification Following Recovery from COVID-19
Scientific Questions Being Studied
Early pandemic data suggested an elevated risk of adverse surgical outcomes in patients following a recovery from SARS-CoV-2. However, there currently is a gap in understanding several key aspects of personal history of COVID-19 on surgical care including influence of viral variants, vaccination status, and impact of care delays. This includes clarifying the impact of “long-COVID” on perioperative morbidity and mortality.
The overarching objective of this study is to understand the impact of a personal history of SARS-CoV-2 infection on perioperative care. This will be achieve through the following aims:
1- Measure the association between prior SARS-CoV-2 infection, including “long-COVID”, and adverse postoperative events.
2- Utilize machine learning to develop risk-stratification tools to aid in the decision-making for surgical risk estimation for patients with a personal history of SARS-CoV-2 infection.
- Disease Focused Research (COVID-19)
Our study will identify a patient cohort who undergo major elective surgery (defined prior literature) by developing an concept set using pre-specific concept IDs. Prior SARS-CoV-2 will be defining using standard OMOP vocabulary and be the exposure variable. Additional covariates will be derived from electronic health data, surveys, mobile health data, and physical measurements. Outcomes will include a standard set of surgical quality measures. This will include measurement of COVID-19 severity and acquisition of long-COVID (post-acute sequelae SARS-CoV-2 infection). Novel measures of surgical recovery will also be developed using mobile health data, surveys, and physical measurement data.
This study will contribute to the growing literature characterizing the broad impact of the COVID-19 pandemic. Specifically, we will examine and provide insight into the interaction between a personal history of SARS-CoV-2 infection + surgical risk. The findings of this study will facilitate and inform patients, families, and healthcare professionals on how to optimimally navigate the next phase of the COVID-19 landscape.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set UsedControlled Tier
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