Identifying the Influencing Factors of Depressive Symptoms among Nurses in China by Machine Learning: A Multicentre Cross-Sectional Study

Background. Nurses' high workload can result in depressive symptoms. However, the research has underexplored the internal and external variables, such as organisational support, career identity, and burnout, which may predict depressive symptoms among Chinese nurses via machine learning (ML). Aim. To predict nurses' depressive symptoms and identify the relevant factors by machine learning (ML) algorithms. Methods. A self-administered smartphone questionnaire was delivered to nurses to evaluate their depressive symptoms;1,431 questionnaires and 28 internal and external features were collected. In the training set, the use of maximum relevance minimum redundancy ranked the features' importance. Five ML algorithms were used to establish models to identify nurses' depressive symptoms using different feature subsets, and the area under the curve (AUC) determined the optimal feature subset. Demographic characteristics were added to the optimal feature subset to establish the combined models. Each model's performance was evaluated using the test set. Results. The prevalence rate of depressive symptoms among Chinese nurses was 31.86%. The optimal feature subset comprised of sleep disturbance, chronic fatigue, physical fatigue, exhaustion, and perceived organisation support. The five models based on the optimal feature subset had good prediction performance on the test set (AUC: 0.871–0.895 and accuracy: 0.798–0.815). After adding the significant demographic characteristics, the performance of the five combined models slightly improved;the AUC and accuracy increased to 0.904 and 0.826 on the test set, respectively. The logistic regression analysis results showed the best and most stable performance while the univariate analysis results showed that external and internal personal features (AUC: 0.739–0.841) were more effective than demographic characteristics (AUC: 0.572–0.588) for predicting nurses' depressive symptoms. Conclusions. ML could effectively predict nurses' depressive symptoms. Interventions to manage physical fatigue, sleep disorders, burnout, and organisational support may prevent depressive symptoms.

Everybody hurts - What can physical health professionals learn about how mental health professionals support their own emotional resilience and mental health?

The physical aspects of ultrasonography, difficult posture with prolonged pressure exertion, have been extensively researched and addressed with advances in machine ergonomics, operator awareness of posture and positioning and workplace tools to identify musculoskeletal problems. The mental stresses are less well recognized and have only recently started getting investigated. Ultrasonography is a mentally challenging activity requiring long periods of intense concentration, empathy and communication of complex and often difficult information to patients and clinicians, all of which carries an emotional toll. Practitioners are also under increasing time and caseload pressures exacerbated by COVID recovery and chronic fatigue from two years of pandemic. A survey of UK obstetric sonographers showed 92.1% and 91.0% met the burnout thresholds for exhaustion and disengagement, respectively).1 While many Trusts provide training to support physical health, few radiology departments educate their staff on emotional resilience or offer regular support to either promote or maintain mental wellbeing. Training, when available, is often focused on the receiver and not on the impact of vicarious traumas experienced as a result of repeatedly discovering/delivering difficult outcomes to patients on a regular and prolonged basis. Few health professionals are face-to-face with their patient at point of significant discovery whether that information is imparted to the patient or not. Mental health professionals have adopted a traumainformed stance into their working practices. This has not only informed the direct clinical work with patients but is also evident in the way the workforce is supported by the trust. Regular supervision, reflective practice and debriefs are required and monitored by the trust, based on research in clinical psychology to inform best practice. Some of these practices could be applied to physical health professionals to address some of the emotional burdens experienced as part of day-to-day delivery of care.

Major Depressive Disorder and Chronic Fatigue Syndrome Show Characteristic Heart Rate Variability Profiles Reflecting Autonomic Dysregulations: Differentiation by Linear Discriminant Analysis.

Major depressive disorder (MDD) and chronic fatigue syndrome (CFS) have overlapping symptoms, and differentiation is important to administer the proper treatment. The present study aimed to assess the usefulness of heart rate variability (HRV) indices. Frequency-domain HRV indices, including high-frequency (HF) and low-frequency (LF) components, their sum (LF+HF), and their ratio (LF/HF), were measured in a three-behavioral-state paradigm composed of initial rest (Rest), task load (Task), and post-task rest (After) periods to examine autonomic regulation. It was found that HF was low at Rest in both disorders, but was lower in MDD than in CFS. LF and LF+HF at Rest were low only in MDD. Attenuated responses of LF, HF, LF+HF, and LF/HF to task load and an excessive increase in HF at After were found in both disorders. The results indicate that an overall HRV reduction at Rest may support a diagnosis of MDD. HF reduction was found in CFS, but with a lesser severity. Response disturbances of HRV to Task were observed in both disorders, and would suggest the presence of CFS when the baseline HRV has not been reduced. Linear discriminant analysis using HRV indices was able to differentiate MDD from CFS, with a sensitivity and specificity of 91.8% and 100%, respectively. HRV indices in MDD and CFS show both common and different profiles, and can be useful for the differential diagnosis.

'Welcome to my world': a thematic analysis of the lived experiences of people with Myalgic Encephalomyelitis during the UK COVID-19 lockdown.

OBJECTIVES: We explore the experiences of people with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (pwME/CFS) during the first UK COVID-19 lockdown period. We specifically probe perceived commonalities and departures in experience between government- and health-imposed lockdowns, application of coping strategies for social isolation, and predictions for inclusion of the chronically ill in post-pandemic society. METHODS AND MEASURES: Thirty semi-structured interviews were conducted in pwME/CFS between June - July, 2020. Responses were qualitatively analysed using an experiential, thematic framework. RESULTS: While participants reported enhancements in digital accessibility during lockdown, they perceived this as an unintentional benefit from changes designed to cater universally. Similarly, their expectation was that the general population's limited experience of restriction would not engender greater understanding for those who would continue to experience health-imposed lockdowns, post-pandemic. Participants described numerous strategies for coping with restriction and isolation, developed during prior health-imposed lockdowns and applied to this novel circumstance, highlighting the presence of acceptance and resilience in the sample. CONCLUSIONS: Our findings suggest that future work may fruitfully examine whether our participant's predictions for post-pandemic societal inclusion have been met, and how resilience and acceptance might be developed and nurtured in chronically ill populations through times of adversity.

The relevance of pacing strategies in managing symptoms of post-COVID-19 syndrome.

BACKGROUND: Post-COVID-19 syndrome (PCS) shares many features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). PCS represents a major health issue worldwide because it severely impacts patients' work activities and their quality of life. In the absence of treatment for both conditions and given the beneficial effect of pacing strategies in ME/CFS, we conducted this study to assess the effectiveness of pacing in PCS patients. METHODS: We retrospectively included patients meeting the World Health Organization definition of PCS who attended the Internal Medicine Department of Angers University Hospital, France between June 2020 and June 2022, and were followed up until December 2022. Pacing strategies were systematically proposed for all patients. Their medical records were reviewed and data related to baseline and follow-up assessments were collected. This included epidemiological characteristics, COVID-19 symptoms and associated conditions, fatigue features, perceived health status, employment activity, and the degree of pacing adherence assessed by the engagement in pacing subscale (EPS). Recovery was defined as the ability to return to work, and improvement was regarded as the reduction of the number and severity of symptoms. RESULTS: A total of 86 patients were included and followed-up for a median time of 10 [6-13] months. Recovery and improvement rates were 33.7% and 23.3%, respectively. The EPS score was the only variable significantly associated with recovery on multivariate analysis (OR 40.43 [95% CI 6.22-262.6], p < 0.001). Patients who better adhered to pacing (high EPS scores) experienced significantly higher recovery and improvement rates (60-33.3% respectively) than those with low (5.5-5.5% respectively), or moderate (4.3-17.4% respectively) scores. CONCLUSION: Our findings demonstrated that pacing is effective in the management of patients with PCS, and that high levels of adherence to pacing are associated with better outcomes.

Tryptophan catabolites, inflammation, and insulin resistance as determinants of chronic fatigue syndrome and affective symptoms in long COVID.

Critical COVID-19 disease is accompanied by depletion of plasma tryptophan (TRY) and increases in indoleamine-dioxygenase (IDO)-stimulated production of neuroactive tryptophan catabolites (TRYCATs), including kynurenine (KYN). The TRYCAT pathway has not been studied extensively in association with the physiosomatic and affective symptoms of Long COVID. In the present study, we measured serum TRY, TRYCATs, insulin resistance (using the Homeostatic Model Assessment Index 2-insulin resistance, HOMA2-IR), C-reactive protein (CRP), physiosomatic, depression, and anxiety symptoms in 90 Long COVID patients, 3-10 months after remission of acute infection. We were able to construct an endophenotypic class of severe Long COVID (22% of the patients) with very low TRY and oxygen saturation (SpO2, during acute infection), increased kynurenine, KYN/TRY ratio, CRP, and very high ratings on all symptom domains. One factor could be extracted from physiosomatic symptoms (including chronic fatigue-fibromyalgia), depression, and anxiety symptoms, indicating that all domains are manifestations of the common physio-affective phenome. Three Long COVID biomarkers (CRP, KYN/TRY, and IR) explained around 40% of the variance in the physio-affective phenome. The latter and the KYN/TRY ratio were significantly predicted by peak body temperature (PBT) and lowered SpO2 during acute infection. One validated latent vector could be extracted from the three symptom domains and a composite based on CRP, KYN/TRY, and IR (Long COVID), and PBT and SpO2 (acute COVID-19). In conclusion, the physio-affective phenome of Long COVID is a manifestation of inflammatory responses during acute and Long COVID, and lowered plasma tryptophan and increased kynurenine may contribute to these effects.

Association between Covid-19 and Fatigue in Patients with Immune-Mediated Rheumatic Diseases in an Outpatient Service

Objectives: Patients with immune-mediated rheumatic diseases (IMRD) constitute an important subgroup of immunosuppressed patients at risk of developing severe infections. Since coronavirus 19 infection (COVID-19) is an international public health emergency, it is necessary to observe the relationship between this viral infection and the development or intensification of the clinical course of IMRD and the persistence of new associated symptoms. The aim of this study is to trace this population's epidemiological profile and evaluate the frequency of chronic fatigue syndrome in patients with IMRD and COVID-19 compared to uninfected patients. Method(s): This is a descriptive cross-sectional observational study with a comparison group. The sociodemographic, clinical, and FACIT-F Fatigue Scale data were from patients with IMRD of Project Reumacov, organized by the Brazilian Society of Rheumatology, locally inManaus/Amazonas. The statistical analysis was performed through the inferential method to demonstrate the prevalence. Result(s): 268 patients were evaluated, those who had contact with COVID-19 had fatigue according with the fatigue assessment scale compared to unexposed patients. There was a statistically significant correlation between fatigue post-COVID-19 infection in the patients studied. Conclusion(s): Clinically relevant fatigue was a prevalent and commonly reported symptom in the post-COVID-19 period in the evaluated population. These data should direct attention to the reported manifestations as they affect the functioning of individuals' socioeconomic and health well-being throughout the pandemic period and beyond.

Proteomics and cytokine analyses distinguish myalgic encephalomyelitis/chronic fatigue syndrome cases from controls.

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogenous disease characterized by unexplained persistent fatigue and other features including cognitive impairment, myalgias, post-exertional malaise, and immune system dysfunction. Cytokines are present in plasma and encapsulated in extracellular vesicles (EVs), but there have been only a few reports of EV characteristics and cargo in ME/CFS. Several small studies have previously described plasma proteins or protein pathways that are associated with ME/CFS. METHODS: We prepared extracellular vesicles (EVs) from frozen plasma samples from a cohort of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) cases and controls with prior published plasma cytokine and plasma proteomics data. The cytokine content of the plasma-derived extracellular vesicles was determined by a multiplex assay and differences between patients and controls were assessed. We then performed multi-omic statistical analyses that considered not only this new data, but extensive clinical data describing the health of the subjects. RESULTS: ME/CFS cases exhibited greater size and concentration of EVs in plasma. Assays of cytokine content in EVs revealed IL2 was significantly higher in cases. We observed numerous correlations among EV cytokines, among plasma cytokines, and among plasma proteins from mass spectrometry proteomics. Significant correlations between clinical data and protein levels suggest roles of particular proteins and pathways in the disease. For example, higher levels of the pro-inflammatory cytokines Granulocyte-Monocyte Colony-Stimulating Factor (CSF2) and Tumor Necrosis Factor (TNFα) were correlated with greater physical and fatigue symptoms in ME/CFS cases. Higher serine protease SERPINA5, which is involved in hemostasis, was correlated with higher SF-36 general health scores in ME/CFS. Machine learning classifiers were able to identify a list of 20 proteins that could discriminate between cases and controls, with XGBoost providing the best classification with 86.1% accuracy and a cross-validated AUROC value of 0.947. Random Forest distinguished cases from controls with 79.1% accuracy and an AUROC value of 0.891 using only 7 proteins. CONCLUSIONS: These findings add to the substantial number of objective differences in biomolecules that have been identified in individuals with ME/CFS. The observed correlations of proteins important in immune responses and hemostasis with clinical data further implicates a disturbance of these functions in ME/CFS.

Changes in the proteomics of exhaled breath condensate under the influence of inhaled hydrogen in patients with post-COVID syndrome.

Aim. To study the effect of inhalation therapy with an active hydrogen (AH) on the protein composition of exhaled breath condensate (EBC) in patients with post-COVID syndrome (PCS). Material and methods. This randomized controlled parallel prospective study included 60 patients after coronavirus disease 2019 (COVID-19) with PCS during the recovery period and clinical manifestations of chronic fatigue syndrome who received standard therapy according to the protocol for managing patients with chronic fatigue syndrome (CFS). The patients were divided into 2 groups: group 1 (main) - 30 people who received standard therapy and AH inhalations (SUISONIA, Japan) for 10 days, and group 2 (control) - 30 medical workers who received only standard therapy. Patients in both groups were comparable in sex and mean age. All participants in the study were sampled with EBC on days 1 and 10. Samples were subjected to tryptic digestion and high-performance liquid chromatography combined with tandem mass spectrometry analysis using a nanoflow chromatograph (Dionex 3000) in tandem with a high-resolution time-of-flight mass spectrometer (timsTOF Pro). Results. A total of 478 proteins and 1350 peptides were identified using high resolution mass spectrometry. The number of proteins in samples after AH therapy, on average, is 12% more than before treatment. An analysis of the distribution of proteins in different groups of patients showed that only half of these proteins (112) are common for all groups of samples and are detected in EBC before, after, and regardless of hydrogen therapy. In addition to the qualitative difference in the EBC protein compositions in different groups, quantitative changes in the concentration of 36 proteins (mainly structural and protective) were also revealed, which together made it possible to reliably distinguish between subgroups before and after treatment. It is worth noting that among these proteins there are participants of blood coagulation (alpha-1-antitrypsin), chemokine- and cytokine-mediated inflammation, and a number of signaling pathways (cytoplasmic actin 2), response to oxidative stress (thioredoxin), glycolysis (glyceraldehyde-3- phosphate dehydrogenase), etc. Conclusion. The use of hydrogen therapy can contribute to the switching of a number of physiological processes, which may affect the success of recovery in PCS patients. In particular, the obtained results indicate the activation of aerobic synthesis of adenosine triphosphate in mitochondria by hydrogen therapy, which correlates well with the decrease in the blood lactate level detected by laboratory studies. At the same time, this therapy can inhibit pro-inflammatory activity, negatively affecting the coagulation and signaling pathways of integrins and apoptosis, and, in addition, activate protective pathways, tricarboxylic acid cycle, FAS signaling, and purine metabolism, which may be essential for effective recovery after COVID-19.Copyright © 2023 Vserossiiskoe Obshchestvo Kardiologov. All rights reserved.

British Neuropsychiatry Annual Meeting 2021

The proceedings contain 40 papers. The topics discussed include: sex, bugs microwave attacks: how bad science, mating insects psychogenic illness created an international incident with Cuba;Covid-19 and neuropsychiatry;clinical update on delirium;fibromyalgia and myalgic encephalomyelitis/ chronic fatigue syndrome (ME/CFS): an interoceptive predictive coding model of pain and fatigue expression;when the spark goes out: the neurology of apathy and motivation;is subjective cognitive decline (SCD) a better marker of susceptibility to functional cognitive disorder (FCD) than to neurodegeneration?: the caerphilly prospective study;temporal and spectral dynamics of reward and risk processing in the amygdala revealed with stereo-EEG recordings in epilepsy;a systematic review of extra-motor symptom evaluation in clinical trials for amyotrophic lateral sclerosis;and stimulation of the ventrolateral prefrontal cortex speeds up evidence accumulation in conflictual-uncertain environments.

The 1918 Influenza Pandemic: Back to the Future?

Background: It is just over a century since the 1918 flu pandemic, sometimes referred to as the "mother” of pandemics. This brief retrospective of the 1918 pandemic is taken from the viewpoint of the current SARS-CoV-2/COVID-19 pandemic and is based on a short lecture given during the 2021 Virtual Congress of the ERA-EDTA. Summary: This review summarizes and highlights some of the earlier pandemic's salient features, some parallels with today, and some potential learnings, bearing in mind that the flu pandemic occurred over 100 years ago at a time of major turmoil during the climax to WWl, and with limited medical expertise and knowledge, research facilities, or well-structured and resourced healthcare services. While there is little or no information on renal complications at the time, or an effective treatment, some observations in relation to COVID-19 and vaccination are included. Key Messages: Lessons are difficult to draw from 1918 other than the importance and value of non-pharmaceutical measures to limit viral transmission. While the economic impact of the 1918 pandemic was significant, as it is now with COVID-19, subsequent economic analysis has shown that protecting public health and preserving economic activity are not mutually exclusive. Both H1N1 and SARS-CoV-2 viruses are neurotropic and may cause chronically debilitating neurological diseases, including conditions such as encephalitis lethargica (still debated) and myalgic encephalomyelitis (chronic fatigue syndrome), respectively. Although coronavirus and influenza viral infections have some similarities, they are certainly not the same, as we are realising, and future infectious pandemics may still surprise us, but being "forewarned is forearmed.”

Centering Group Treatment for Women With Interstitial Cystitis/Bladder Pain Syndrome: A Prospective, Parallel-Group Cohort Study

Importance: Women with interstitial cystitis/bladder pain syndrome (ICBPS) face isolation and treatment challenges. Group medical visits using Centering models have successfully treated other conditions but have not been explored in ICBPS. Objective(s): This study aimed to describe ICBPS pain and symptom control comparing standard treatment alone versus standard treatment augmented with Centering visits. Study Design: This prospective cohort study recruited women with ICBPS receiving standard care (control) or standard care augmented with group Centering. We administered validated questionnaires at baseline and monthly for 12 months. The primary outcome was change in the pain numerical rating scale, with Patient-Reported Outcomes Measurement Information System Pain Interference Scale and Bladder Pain/Interstitial Cystitis Symptom Score change as secondary measures. Result(s): We enrolled 45 women (20 Centering, 25 controls). Centering had significantly better numerical rating scale pain scores at 1 month (mean difference [diff], -3.45) and 2 months (mean diff, -3.58), better Patient-Reported Outcomes Measurement Information System Pain Interference Scale scores at 1 month (mean diff, -10.62) and 2 months (mean diff, -9.63), and better Bladder Pain/Interstitial Cystitis Symptom Score scores at 2 months (mean diff, -13.19), and 3 months (mean diff, -12.3) compared with controls. In modeling, treatment group (Centering or control) and educational levels were both associated with all the outcomes of interest. Beyond 6 months, there were too few participants for meaningful analyses. Conclusion(s): Women with ICBPS participating in a Centering group have, in the short term, less pain, pain interference, and ICBPS-specific symptoms than patients with usual care alone. Larger studies with more follow-up are needed to determine if this treatment effect extends over time.Copyright © 2022 American Urogynecologic Society. All rights reserved.

A review of cytokine-based pathophysiology of Long COVID symptoms.

The Long COVID/Post Acute Sequelae of COVID-19 (PASC) group includes patients with initial mild-to-moderate symptoms during the acute phase of the illness, in whom recovery is prolonged, or new symptoms are developed over months. Here, we propose a description of the pathophysiology of the Long COVID presentation based on inflammatory cytokine cascades and the p38 MAP kinase signaling pathways that regulate cytokine production. In this model, the SARS-CoV-2 viral infection is hypothesized to trigger a dysregulated peripheral immune system activation with subsequent cytokine release. Chronic low-grade inflammation leads to dysregulated brain microglia with an exaggerated release of central cytokines, producing neuroinflammation. Immunothrombosis linked to chronic inflammation with microclot formation leads to decreased tissue perfusion and ischemia. Intermittent fatigue, Post Exertional Malaise (PEM), CNS symptoms with "brain fog," arthralgias, paresthesias, dysautonomia, and GI and ophthalmic problems can consequently arise as result of the elevated peripheral and central cytokines. There are abundant similarities between symptoms in Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). DNA polymorphisms and viral-induced epigenetic changes to cytokine gene expression may lead to chronic inflammation in Long COVID patients, predisposing some to develop autoimmunity, which may be the gateway to ME/CFS.

Research progress on central mechanism of acupuncture treatment for chronic fatigue syndrome.

Chronic fatigue syndrome is a neurological disorder characterized by extreme fatigue that lasts for a long time and doesn't alleviate with rest. The number of the cases has been increasing during the era of COVID-19 pandemic. Acupuncture may have some effect on chronic fatigue syndrome, but its mechanism remains unclear. This article was to summarize the specific manifestations of abnormal central mechanism in patients with chronic fatigue syndrome through laboratory tests and neuroimaging. It was found from the laboratory evaluation that there were changes in the structure of the frontal cortex, thalamus and other brain tissues; factors, including IFN-α and IL-10 in cerebrospinal fluid were found abnormal; results of oxidative and nitrosative stress and changes in neurobiochemical substances, e.g. hypothalamus hormone levels and neurotransmitter concentrations, were observed. With magnetic resonance imaging and positron emission tomography, it was shown that the partial brain of persons with chronic fatigue syndrome had morphological changes with diminished grey matter and white; changes in cerebral blood flow velocity caused by decreased perfusion and functional activity with abnormal connectivity in brain were detected. In addition, there was significant decrease in glucose metabolism accompanied with neuroinflammatory response; metabolic disorders of serotonergic, cholinergic, glutamatergic and γ-aminobutyric acid energy neurotransmitters were also discovered. The regulatory effect of acupuncture on the above central neurological abnormalities in chronic fatigue syndrome model animals was elaborated, and the direction for further research was analyzed in order to provide ideas for further research on the central mechanism of acupuncture treatment for chronic fatigue syndrome.

Physical Activity Effects on Muscle Fatigue in Sport in Active Adults with Long COVID-19: An Observational Study.

Long COVID-19-related changes in physiology includes alterations in performing muscle work as fatigue. Data available do not allow us to define the usefulness of physical activity to attenuate long COVID-19 functional modifications. The present observational study investigates the effects of physical activity on the perception of fatigue, maximum power output, sleep, and cognitive modifications in subjects affected by long COVID-19, distinguishing between active and sedentary subjects. The data demonstrated the following: the perception of fatigue 1 year after the end of virus positivity was significantly reduced with respect to that observed after 6 months by more than 50% more in active subjects compared to sedentary ones; 6 months after the end of virus positivity, the force developed by active subjects was reduced (RM factor: p < 0.001, η2p = 0.527, post hoc: p < 0.001), but the reduction was more pronounced in sedentary ones (mean difference = 38.499 W); poor sleep quality and mild cognitive impairment were assessed in both active and sedentary subjects. In conclusion, the study suggests that the long COVID-19 fatigue was lower in active subjects respect to sedentary ones. A comparative analysis performed due to the overlap of functional alterations between long COVID-19 and ME/CFS showed that in a small percentage of the enrolled subjects (8%), the symptomatology reflected that of ME/CFS and was independent of the individual physical capacities.

Long COVID and older people

Long COVID is a poorly understood condition, with a wide spectrum of effects on multiple body systems and variable presentation in different individuals. Long COVID is of particular concern among older people (ie, aged 65 years or older), who are at greater risk than younger people of persisting symptoms associated with COVID-19. In addition, COVID-19 might trigger or exacerbate chronic conditions that occur commonly in older people, such as cardiovascular diseases, respiratory diseases, neurodegenerative conditions, and functional decline. In addition, the disruptive effects of COVID-19 for older people should not be underestimated;lockdowns and other restrictions might have reduced the social interactions of older people, and they are also likely to have lost a spouse or loved one during the pandemic, which can contribute to mental and physical decline. COVID-19 vaccination appears to reduce the effects of long COVID, and older people, especially those living in aged care facilities, should remain up-to-date with their COVID-19 vaccinations. Health-care staff should also consider long COVID in the differential diagnosis of relevant symptoms in older people, rather than assume increasing frailty, and should pursue early multidisciplinary assessment and management of persisting symptoms. Addressing physical, psychological, and functional sequelae will mitigate the effect of long COVID and improve the health and quality of life of older people.Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Covid-19 Fatigue: Diagnosis and Treatment for the Osteopathic Physician

The novel coronavirus disease 2019 (COVID-19) has given rise to a global pandemic, as well as a multitude of long-term sequelae that continue to perplex physicians around the world, including in the United States. Among the most common and impactful long-haul symptoms experienced by survivors is COVID-19 fatigue. This review will use long COVID-19, post-acute COVID-19 syndrome (PCS), and PostAcute Sequelae of COVID-19 (PASC) as synonymous terms to refer to the chronic symptomatology;chronic fatigue associated with PASC will be referred to as COVID-19 fatigue. While the knowledge and research on the exact pathophysiological mechanisms involved in the disease is still limited, parallels have been drawn between fatigue as a component of long COVID-19 and myalgic encephalomyelitis/ chronic fatigue syndrome (ME/CFS). Current studies suggest applying principles of pathophysiology, diagnosis, and treatment similar to those for ME/CFS in order to aid in managing chronic fatigue in COVID-19 survivors, particularly in the primary care setting. The osteopathic family physician can use the proposed pharmacologic agents, along with osteopathic manipulative treatment (OMT), as therapeutic modalities that can be tailored to each patient's unique case. Nevertheless, research on proven successful treatments is still scarce. For that reason, it is essential that COVID-19 fatigue is recognized early, especially since its longitudinal impacts may be debilitating for many. This review of the available literature on COVID-19 fatigue aims to help provide quality care and lessen the disease burden experienced by patients.Copyright © 2023 by the American College of Osteopathic Family Physicians. All rights reserved.

Affective scaffolding and chronic illness

Current attempts to understand unusually high rates of psychiatric illness in complex, chronic illnesses can be guilty of operating within an explanatory framework whereby there are two options. Either (a) that the psychiatric predicaments are secondary to the bodily condition, and (b) that they are primary. In this paper, I draw upon philosophical work on affect, contemporary empirical work, and qualitative first-person patient data to illustrate a much messier reality. I argue that affective experience is generally more complex in such conditions, and that a variety of pre- and post-morbid causal factors dynamically interact such that the resultant psychiatric predicaments do not permit to classification as strictly primary or secondary to the bodily condition. Affective scaffolding, in my view, provides an apt theoretical framework for capturing this nuance. (PsycInfo Database Record (c) 2022 APA, all rights reserved)