Publications by authors named "Eric M Cramer"
Abnormal DNA ploidy, found in numerous cancers, is increasingly being recognized as a contributor in driving chromosomal instability, genome evolution, and the heterogeneity that fuels cancer cell progression. Furthermore, it has been linked with poor prognosis of cancer patients. While next-generation sequencing can be used to approximate tumor ploidy, it has a high error rate for near-euploid states, a high cost and is time consuming, motivating alternative rapid quantification methods.
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- A study was conducted to assess how the COVID-19 pandemic affected health symptoms in patients with chronic pain, comparing data from before and after the pandemic onset.
- The research analyzed survey responses from over 7,500 patients, revealing that while pain levels remained the same, feelings of pain catastrophizing increased during peak COVID-19 cases in July 2020.
- Improvements were noted in areas like pain interference, physical function, and emotional support for the post-pandemic group, indicating resilience among chronic pain patients despite ongoing challenges.
Article Synopsis
- * Researchers analyzed data from over 11,000 patients and identified three severity clusters of symptoms that can help in understanding and treating chronic pain.
- * Factors related to negative emotions were found to significantly influence how patients were assigned to these clusters, potentially leading to more personalized care and better treatment outcomes.
Introduction: Chronic postsurgical pain (CPSP) is a global issue with high prevalence. This study compared acute pain descriptors among patients undergoing carpal tunnel release (CTR) or trigger finger release (TFR). We hypothesized worst pain intensity on postoperative day (POD) 10 would be best to predict the time to pain resolution.
View Article and Find Full Text PDFBackground: Reducing hospital-acquired pressure ulcers (PUs) in intensive care units (ICUs) has emerged as an important quality metric for health systems internationally. Limited work has been done to characterize the profile of PUs in the ICU using observational data from the electronic health record (EHR). Consequently, there are limited EHR-based prognostic tools for determining a patient's risk of PU development, with most institutions relying on nurse-calculated risk scores such as the Braden score to identify high-risk patients.
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