Clinical differences in symptomology, characteristics, and risk factors in patients with post-acute sequelae of COVID-19: an experience from a tertiary-care academic center.

Coronavirus disease 2019 (COVID-19) is caused by the novel coronavirus SARS-CoV-2 and has caused significant mortality and morbidity since it was first recognized in Wuhan, China in December 2019. Patients may suffer from a constellation of symptoms termed post-acute sequelae of COVID-19 (PASC) . Here we present findings of a retrospective cohort study describing the prevalence and predicting factors of patient-reported post-acute sequelae of COVID-19 (PASC). Categorical variables were summarized as frequency (percentage) and compared between vaccine status groups using Fisher's exact test. Continuous variables were reported as median (range) and compared between the groups using Kruskal-Wallis test. All tests were two-sided with p value <0.05 considered statistically significant. Survey data from 132 patients with a median age of 45 years, 68% female, 83% Caucasian/Non-Hispanic. The most frequently reported PASC symptoms include fatigue (84.8%), dyspnea (54.5%), cognitive dysfunction (53%), myalgias (37.1%), lightheadedness or vertigo (36.4%), chest pain (34.8%), palpitations (34.8%), headaches (34.1%), arthralgias (31.8%), and unrefreshing sleep (31.1%). There is mounting evidence that supports higher prevalence of PASC in women, White/Caucasian, and middle-aged individuals. This knowledge can provide guidance to clinical practices to anticipate and support healthcare and self-care needs for patients at higher risk to developing PASC.

Postacute Sequelae of SARS-CoV-2 Infection-Lessons Learned From a Coordinated Health System Response.

Objective: To outline a consensus-designed process for triaging and managing patients with post-coronavirus disease (COVID-19) syndrome at Mayo Clinic. Patients and Methods: We convened a central multidisciplinary team including members from the departments of general internal medicine, occupational medicine, physical medicine and rehabilitation, psychology, allergy and immunology, infectious disease, pulmonology, neurology, cardiology, and pediatrics and otorhinolaryngology with membership from all Mayo Clinic sites in Arizona, Florida, Iowa, Minnesota, and Wisconsin. Results: Consensus recommendations were made for the best practice guidelines on triaging and managing patients. Several innovations were agreed upon, including a postacute sequelae of COVID-19-specific appointment request form for data collection, a bioregistry, a biorepository, and a postacute sequelae of COVID-19-specific treatment program. Conclusion: Given that each clinical site had individual clinical practices, these recommendations were implemented using different models, which may provide broad applicability to other clinical settings.

Development and Early Experience of a Primary Care Learning Collaborative in a Large Health Care System.

INTRODUCTION: Primary care clinicians are presented with hundreds of new clinical recommendations and guidelines. To consider practice change clinicians must identify relevant information and develop a contextual framework. Too much attention to information irrelevant to one's practice results in wasted resources. Too little results in care gaps. A small group of primary care clinicians in a large health system sought to address the problem of vetting new information and providing peer reviewed context. This was done by engaging colleagues across the system though a primary care learning collaborative. METHODS: The collaborative was a grass roots initiative between community and academic-based clinicians. They invited all the system's primary care clinicians to participate. They selected new recommendations or guidelines and used surveys as the principal communication instrument. Surveys shared practice experience and also invited members to give narrative feedback regarding their acceptance of variation in care relate to the topic. A description of the collaborative along with its development, processes, and evolution are discussed. Process changes to address needs during the COVID-19 pandemic including expanded information sharing was necessary. RESULTS: Collaborative membership reached across 5 states and included family medicine, internal medicine, and pediatrics. Members found involvement with the collaborative useful. Less variation in care was thought important for public health crises: the COVID pandemic and opioid epidemic. Greater practice variation was thought acceptable for adherence to multispecialty guidelines, such as diabetes, lipid management, and adult ADHD care. Process changes during the pandemic resulted in more communications between members to avoid practice gaps. CONCLUSION: An internet-based learning collaborative in a health system had good engagement from its members. Using novel methods, it was able to provide members with feedback related to the importance of new practice recommendations as perceived by their peers. Greater standardization was thought necessary when adopting measures to address public health crisis, and less necessary when addressing multispecialty guidelines. By employing a learning collaborative, this group was able to keep members interested and engaged. During the first year of the COVID pandemic the collaborative also served as a vehicle to share timely information.

Prevalence, Demographics, and Risk of Severe Acute COVID-19.

BACKGROUND: Our goal was to assess the demographics, risk factors, and hospital admission and length of stay (LOS) among patients with acute COVID-19 and to identify whether age, smoking status, race, risk factors, and sex significantly affect the severity of illness according to hospitalization or admission to the intensive care unit (ICU). Severity was defined as admission to the hospital or ICU. METHODS: This retrospective cohort chart review included patients who received care from March 13 to August 17, 2020, at a single academic medical center. Age, COVID-19 risk factors, sex, race, smoking history, and hospital LOS were analyzed with hospital admission and ICU admission. Categorical variables were summarized. RESULTS: The chart review assessed 1,697 adult patients with various degrees of severity of COVID-19 illness: 23 patients had been admitted to the hospital, and 7 had been admitted to the ICU. Older age and more COVID-19 risk factors, as defined by the Centers for Disease Control and Prevention, were significantly associated with hospital admissions, and longer LOS was statistically associated with ICU admission. CONCLUSIONS: Severe COVID-19 infection was associated with older age and more risk factors. Current smoking status, sex, and race were not significantly different between hospitalized patients with severe COVID-19 infection who were admitted to the ICU and those who were not admitted to the ICU.

Physician Satisfaction With Telemedicine During the COVID-19 Pandemic: The Mayo Clinic Florida Experience.

OBJECTIVE: To evaluate physician perceptions and attitudes toward telemedicine use at a tertiary care academic institution in northeast Florida during the coronavirus disease 2019 pandemic. PATIENTS AND METHODS: An anonymous 38-question cross-sectional survey was developed using Qualtrics survey software (Qualtrics) and e-mailed to all staff physicians from all specialty disciplines at Mayo Clinic in Florida. The survey was open from August 17, 2020, through September 1, 2020. Collected data included general demographic characteristics and employment information, attitude and experience with telemedicine use before and during the coronavirus disease 2019 pandemic, perception of patients' experience, and the effect of telemedicine on burnout. RESULTS: The survey was distributed to 529 eligible physicians at our institution, with 103 physicians responding (20%). The distribution of specialties was 22% primary care specialties, 41% other internal medicine subspecialties, and 18% surgical specialties. Collectively, 63% found comparable quality of care when provided virtually (vs in-person) whereas 80% perceived telemedicine as cost-effective. A total of 76% of physicians felt that telemedicine increased flexibility and control over patient care activities, with 36% reporting improved work-life balance and 30% reporting improved burnout symptoms. Overall, 42% preferred using telemedicine over in-person visits when possible. CONCLUSION: Physicians generally had positive attitudes regarding the adoption of telemedicine and perceived that the quality of health care delivery as generally comparable to in-person care. Future studies are needed to explore attitudes regarding telemedicine after the pandemic and how this virtual technology may be further used to improve physicians' professional and personal well-being.