Objective: To describe the process and outcome of creating a patient cohort in the early stages of the COVID-19 pandemic in order to better understand the process of and predict the outcomes of COVID-19.
Patients And Methods: A total of 1169 adults aged 18 years of age or older who tested positive in Mayo Clinic Rochester or the Mayo Clinic Midwest Health System between January 1 and May 23 of 2020.
Results: Patients were on average 43.9 years of age and 50.7% were female. Most patients were white (69.0%), and Blacks (23.4%) and Asians (5.8%) were also represented in larger numbers. Hispanics represented 16.3% of the sample. Just under half of patients were married (48.4%). Common comorbid conditions included: cardiovascular diseases (25.1%), dyslipidemia (16.0%), diabetes mellitus (11.2%), chronic obstructive pulmonary disease (6.6%), asthma (7.5%), and cancer (5.1%). All other comorbid conditions were less the 5% in prevalence. Data on 3 comorbidity indices are also available including the: DHHS multi-morbidity score, Charlson Comorbidity Index, and Mayo Clinic COVID-19 Risk Factor Score.
Conclusion: In addition to managing the ever raging pandemic and growing death rates, it is equally important that we develop adequate resources for the investigation and understanding of COVID-19-related predictors and outcomes.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053748 | PMC |
| http://dx.doi.org/10.1177/21501327211010991 | DOI Listing |
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Article Synopsis
- The study aimed to identify the relationship between presynaptic growth-associated protein 43 (GAP-43) levels in cerebrospinal fluid (CSF) and various Alzheimer disease (AD) biomarkers, using a retrospective analysis of the AD Neuroimaging Initiative cohort.
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Technology Implementation and Associated Pharmacy Interruptions.
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University of Wisconsin-Madison, Madison, WI.
This study focuses on interruptions in an inpatient pharmacy setting and the impact of CPOE implementation on the types, frequency, and duration of interruptions. A cross-sectional observation study of pharmacy employees in an inpatient pharmacy was conducted. The independent variables included day of week, time of day, job position of the person interrupted, and description of each interruption.
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