Structural Factors Contributing to Compassion Fatigue, Burnout, and Secondary Traumatic Stress Among Hospital-Based Healthcare Professionals During the COVID-19 Pandemic.

High levels of burnout among healthcare providers (HCPs) have been a widely documented phenomenon, which have been exacerbated during the COVID-19 pandemic. In the United States, qualitative studies that are inclusive of HCPs in diverse professional roles have been limited. Therefore, we utilized a qualitative-quantitative design to examine professional quality of life in terms of compassion fatigue, burnout, and secondary traumatic stress among hospital-based HCPs, including social workers, hospitalists, residents, and palliative care team members during COVID-19. HCPs (n = 26) participated in virtual semi-structured focus groups or individual interviews and online surveys (n = 30) including the Professional Quality of Life (ProQOL) Scale. While ProQOL scores indicated low levels of compassion fatigue, burnout, and secondary traumatic stress, thematic analysis of our qualitative data included rich descriptions of compassion fatigue, burnout, and secondary traumatic stress. Safety concerns and value misalignment characterized structural stressors perceived to contribute to HCP compassion fatigue, burnout, and secondary traumatic stress. The discrepancy between our qualitative and quantitative findings may be indication that modifications to current screenings are warranted. These findings also suggest a need to identify and implement structural and policy changes that increase HCPs' physical and emotional safety and promote better alignment of institutional interests with HCP values.

Acute and post-acute sequelae of SARS-CoV-2 infection: a review of risk factors and social determinants.

SARS-CoV-2 infection leading to Coronavirus Disease 2019 (COVID-19) has caused more than 762 million infections worldwide, with 10-30% of patients suffering from post-acute sequelae of SARS-CoV-2 infections (PASC). Initially thought to primarily affect the respiratory system, it is now known that SARS-CoV-2 infection and PASC can cause dysfunction in multiple organs, both during the acute and chronic stages of infection. There are also multiple risk factors that may predispose patients to worse outcomes from acute SARS-CoV-2 infection and contribute to PASC, including genetics, sex differences, age, reactivation of chronic viruses such as Epstein Barr Virus (EBV), gut microbiome dysbiosis, and behavioral and lifestyle factors, including patients' diet, alcohol use, smoking, exercise, and sleep patterns. In addition, there are important social determinants of health, such as race and ethnicity, barriers to health equity, differential cultural perspectives and biases that influence patients' access to health services and disease outcomes from acute COVID-19 and PASC. Here, we review risk factors in acute SARS-CoV-2 infection and PASC and highlight social determinants of health and their impact on patients affected with acute and chronic sequelae of COVID-19.

Developing a Transitions of Care Elective for Medical Students during the COVID-19 Pandemic and Beyond.

OBJECTIVES: Health care in the United States is costly, fragmented, and often ineffective. Transitions of care (TOC), particularly from the inpatient to the outpatient setting, is an especially complicated time and one that is potentially fraught with errors that contribute to negative outcomes. The coronavirus 2019 pandemic exacerbated many of these challenges. In particular, vulnerable patient populations have experienced more barriers to successful care transitions. Effective care transitions should include interprofessional teamwork, robust patient education, and seamless communication among the various healthcare team members. Increasingly, medical schools are working toward graduating systems-ready physicians who demonstrate competency in the health system sciences and are able to operate effectively within the healthcare system, including being able to navigate complex transitions of care issues. Undergraduate medical education, however, continues to provide experiential learning in the traditional silos of inpatient versus outpatient medicine, so that learners do not have the opportunity to directly participate in transitions of care. Although transitions of care is a pivotal part of patient care, it is rarely taught at the undergraduate level, and when it is, it is typically relegated to the classroom setting. METHODS: We used the disruption of the coronavirus 2019 pandemic to develop a TOC elective. The aim was to fulfill an acute educational need and to develop competencies around care transitions for students while concurrently providing support for patient care and teamwork. The elective was offered to second-, third- and fourth-year medical students. Our educational innovation was initiated within our safety-net hospital where we care for a high percentage of uninsured patients, with a high language discordance. In addition, our city has multiple care systems without a single or connected electronic health record system, further complicating patient care transitions. The work of the TOC elective crossed inpatient and outpatient silos, with close collaboration with our local federally qualified health centers. This remotely conducted elective includes three main pillars: participation in team activities, including virtual participation in interdisciplinary rounds and care coordination; discharge planning; and communication, including goals of care and end of life communication. RESULTS: Medical students successfully integrated into team structures to directly counsel families, facilitate goals of care conversations, and engage a multidisciplinary team for discharge planning. Students found this experience valuable in their reflections. In addition, there was a value-added component from a patient care and teamwork perspective. CONCLUSIONS: Participation of students in TOC is a valuable educational experience and contributes a value-added component to patient care and interprofessional teamwork. Moreover, an appreciation of the failures of the current system is pivotal as learners start to reimagine, explore, and design improved patient-centered systems in the future.

A practical framework for Long COVID treatment in primary care.

Long COVID is a complex, multisystem illness with a poorly understood pathophysiology, absence of specific diagnostic tests or criteria, or evidence-based treatments. With over 200 identified symptoms and approximately 10% of COVID-19 cases resulting in Long COVID, it is a challenge to provide comprehensive treatment at a scale commensurate with the illness burden. The diverse manifestations of Long COVID, encompassing numerous medical specialties, typically place primary care providers (PCPs) at the forefront of management, navigating an evolving landscape of research and lack of evidence-based guidelines. This paper presents a pragmatic, structured framework for Long COVID management in primary care, integrating current knowledge and best practices. The approach is individualized, addressing Long COVID's broad symptomatology through a four-step framework. The first step focuses on energy management strategies, emphasizing the prevention of post-exertional malaise, a cardinal feature of Long COVID. The second step, intentional rehabilitation, employs carefully titrated multidisciplinary modalities to address physical, cognitive, and emotional domains. The third step utilizes symptomatic management through both pharmacological and non-pharmacological interventions, targeting debilitating symptoms like fatigue, insomnia, and chronic pain. The fourth step outlines an approach to trialing experimental, targeted therapies that may impact Long COVID's underlying pathophysiology. These treatments, while experimental and lacking quality evidence in Long COVID, may be available off-label on an individual basis following a thorough risk-benefit discussion. This stepwise framework can equip PCPs to effectively address the most common and disabling symptoms of Long COVID, individualize care, and remain attuned to the evolving scientific understanding of the condition.

Surface-Enhanced Raman Spectroscopy Combined with Multivariate Analysis for Fingerprinting Clinically Similar Fibromyalgia and Long COVID Syndromes.

Fibromyalgia (FM) is a chronic central sensitivity syndrome characterized by augmented pain processing at diffuse body sites and presents as a multimorbid clinical condition. Long COVID (LC) is a heterogenous clinical syndrome that affects 10-20% of individuals following COVID-19 infection. FM and LC share similarities with regard to the pain and other clinical symptoms experienced, thereby posing a challenge for accurate diagnosis. This research explores the feasibility of using surface-enhanced Raman spectroscopy (SERS) combined with soft independent modelling of class analogies (SIMCAs) to develop classification models differentiating LC and FM. Venous blood samples were collected using two supports, dried bloodspot cards (DBS, n = 48 FM and n = 46 LC) and volumetric absorptive micro-sampling tips (VAMS, n = 39 FM and n = 39 LC). A semi-permeable membrane (10 kDa) was used to extract low molecular fraction (LMF) from the blood samples, and Raman spectra were acquired using SERS with gold nanoparticles (AuNPs). Soft independent modelling of class analogy (SIMCA) models developed with spectral data of blood samples collected in VAMS tips showed superior performance with a validation performance of 100% accuracy, sensitivity, and specificity, achieving an excellent classification accuracy of 0.86 area under the curve (AUC). Amide groups, aromatic and acidic amino acids were responsible for the discrimination patterns among FM and LC syndromes, emphasizing the findings from our previous studies. Overall, our results demonstrate the ability of AuNP SERS to identify unique metabolites that can be potentially used as spectral biomarkers to differentiate FM and LC.

Immunologic and Autoimmune-Related Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 Infection: Clinical Symptoms and Mechanisms of Disease.

The COVID-19 pandemic has resulted in a significant number of people developing long-term health effects of postacute sequelae SARS-CoV-2 infection (PASC). Both acute COVID-19 and PASC are now recognized as multiorgan diseases with multiple symptoms and disease causes. The development of immune dysregulation during acute COVID-19 and PASC is of high epidemiologic concern. Both conditions may also be influenced by comorbid conditions such as pulmonary dysfunction, cardiovascular disease, neuropsychiatric conditions, prior autoimmune conditions and cancer. This review discusses the clinical symptoms, pathophysiology, and risk factors that affect both acute COVID-19 and PASC.

Clinical characteristics of Long COVID patients presenting to a dedicated academic post-COVID-19 clinic in Central Texas.

Post-acute sequelae SARS-CoV-2 (PASC), also known as Long COVID, is a complex and widely recognized illness with estimates ranging from 5 to 30% of all COVID-19 cases. We performed a retrospective chart review of patients who presented to a dedicated Post-COVID-19 clinic between June 2021 and May 2022. The median patient age was 44.5 years, 63.5% patients were female, and patients presented at a median of 10.4 months from acute COVD-19 infection. 78% self-identified their race as white, and 21% identified as Latino ethnicity. During the acute COVID-19 infection, 50% of patients experienced moderate disease severity and 10.5% were hospitalized. The top three co-morbid conditions prior to SARS-CoV-2 infection included mental health conditions, hypertension and asthma. Patients reported a median of 18 new symptoms following COVID-19 illness, the most common were fatigue (89%), forgetfulness or "brain fog" (89%), and difficulty concentrating (77%). MoCA (Montreal Cognitive Assessment) assessment demonstrated that 46% had mild cognitive dysfunction. PHQ-9 (Patient Health Questionnaire) testing revealed 42% had moderate to severe depression, and 38% had moderate to severe anxiety on the GAD-7 (Generalized Anxiety Disorder) assessment. Symptom burden was similar across gender, age, and initial disease severity. PASC patients presenting to an academic Post-COVID-19 clinic experienced numerous multisystem symptoms and functional impairment, independent of the initial COVID-19 disease severity.

Dissecting Clinical Features of COVID-19 in a Cohort of 21,312 Acute Care Patients.

COVID-19 has resulted in over 645 million hospitalization and 7 million deaths globally. However, many questions still remain about clinical complications in COVID-19 and if these complications changed with different circulating SARS-CoV-2 strains. We analyzed a 2.5-year retrospective cohort of 47,063 encounters for 21,312 acute care patients at five Central Texas hospitals and define distinct trajectory groups (TGs) with latent class mixed modeling, based on the World Health Organization COVID-19 Ordinal Scale. Using this TG framework, we evaluated the association of demographics, diagnoses, vitals, labs, imaging, consultations, and medications with COVID-19 severity and broad clinical outcomes. Patients within 6 distinct TGs differed in manifestations of multi-organ disease and multiple clinical factors. The proportion of mild patients increased over time, particularly during Omicron waves. Age separated mild and fatal patients, though did not distinguish patients with severe versus critical disease. Male and Hispanic/Latino demographics were associated with more severe/critical TGs. More severe patients had a higher rate of neuropsychiatric diagnoses, consultations, and brain imaging, which did not change significantly in severe patients across SARS-CoV-2 variant waves. More severely affected patients also demonstrated an immunological signature of high neutrophils and immature granulocytes, and low lymphocytes and monocytes. Interestingly, low albumin was one of the best lab predictors of COVID-19 severity in association with higher malnutrition in severe/critical patients, raising concern of nutritional insufficiency influencing COVID-19 outcomes. Despite this, only a small fraction of severe/critical patients had nutritional labs checked (pre-albumin, thiamine, Vitamin D, B vitamins) or received targeted interventions to address nutritional deficiencies such as vitamin replacement. Our findings underscore the significant link between COVID-19 severity, neuropsychiatric complications, and nutritional insufficiency as key risk factors of COVID-19 outcomes and raise the question of the need for more widespread early assessment of patients' neurological, psychiatric, and nutritional status in acute care settings to help identify those at risk of severe disease outcomes.

Metabolic Fingerprinting for the Diagnosis of Clinically Similar Long COVID and Fibromyalgia Using a Portable FT-MIR Spectroscopic Combined with Chemometrics.

Post Acute Sequelae of SARS-CoV-2 infection (PASC or Long COVID) is characterized by lingering symptomatology post-initial COVID-19 illness that is often debilitating. It is seen in up to 30-40% of individuals post-infection. Patients with Long COVID (LC) suffer from dysautonomia, malaise, fatigue, and pain, amongst a multitude of other symptoms. Fibromyalgia (FM) is a chronic musculoskeletal pain disorder that often leads to functional disability and severe impairment of quality of life. LC and FM share several clinical features, including pain that often makes them indistinguishable. The aim of this study is to develop a metabolic fingerprinting approach using portable Fourier-transform mid-infrared (FT-MIR) spectroscopic techniques to diagnose clinically similar LC and FM. Blood samples were obtained from LC (n = 50) and FM (n = 50) patients and stored on conventional bloodspot protein saver cards. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. Through the deconvolution analysis of the spectral data, a distinct spectral marker at 1565 cm-1 was identified based on a statistically significant analysis, only present in FM patients. This IR band has been linked to the presence of side chains of glutamate. An OPLS-DA algorithm created using the spectral region 1500 to 1700 cm-1 enabled the classification of the spectra into their corresponding classes (Rcv > 0.96) with 100% accuracy and specificity. This high-throughput approach allows unique metabolic signatures associated with LC and FM to be identified, allowing these conditions to be distinguished and implemented for in-clinic diagnostics, which is crucial to guide future therapeutic approaches.

Improving Healthcare Value: Effectiveness of a Program to Reduce Laboratory Testing for Non-Critically-Ill Patients With COVID-19.

Avoiding routine, repetitive inpatient laboratory testing is a Choosing Wisely® recommendation, with benefits that may be even more pronounced in the setting of the COVID-19 pandemic, considering the need to limit unnecessary exposure, use of personal protective equipment, and laboratory resources. However, the COVID-19 pandemic presented a unique challenge: how to efficiently develop and standardize care for a disease process that had yet to be fully characterized. This article describes the development of a local committee to critically review evidence-based practices, reach consensus, and guide practice patterns, with the aim of delivering high-value care. Following the local introduction of recommendations and electronic health record order sets, non-critically-ill COVID-19 patients at our hospital had more inpatient days where they did not receive laboratory tests, achieving sustained special cause variation on statistical process control charts. The principles of Choosing Wisely® can be applied even within novel and rapidly evolving situations.