Category: Public Health

Severe mental illness, race/ethnicity, multimorbidity and mortality following COVID-19 infection: nationally representative cohort study

Abstract:

Background: The association of COVID-19 with death in people with severe mental illness (SMI), and associations with multimorbidity and ethnicity, are unclear.

Aims: To determine all-cause mortality in people with SMI following COVID-19 infection, and assess whether excess mortality is affected by multimorbidity or ethnicity.

Method: This was a retrospective cohort study using primary care data from the Clinical Practice Research Database, from February 2020 to April 2021. Cox proportional hazards regression was used to estimate the effect of SMI on all-cause mortality during the first two waves of the COVID-19 pandemic.

Results: Among 7146 people with SMI (56% female), there was a higher prevalence of multimorbidity compared with the non-SMI control group (n = 653 024, 55% female). Following COVID-19 infection, the SMI group experienced a greater risk of death compared with controls (adjusted hazard ratio (aHR) 1.53, 95% CI 1.39-1.68). Black Caribbean/Black African people were more likely to die from COVID-19 compared with White people (aHR = 1.22, 95% CI 1.12-1.34), with similar associations in the SMI group and non-SMI group (P for interaction = 0.73). Following infection with COVID-19, for every additional multimorbidity condition, the aHR for death was 1.06 (95% CI 1.01-1.10) in the SMI stratum and 1.16 (95% CI 1.15-1.17) in the non-SMI stratum (P for interaction = 0.001).

Conclusions: Following COVID-19 infection, patients with SMI were at an elevated risk of death, further magnified by multimorbidity. Black Caribbean/Black African people had a higher risk of death from COVID-19 than White people, and this inequity was similar for the SMI group and the control group.

Source: Das-Munshi J, Bakolis I, Bécares L, Dyer J, Hotopf M, Ocloo J, Stewart R, Stuart R, Dregan A. Severe mental illness, race/ethnicity, multimorbidity and mortality following COVID-19 infection: nationally representative cohort study. Br J Psychiatry. 2023 Nov;223(5):518-525. doi: 10.1192/bjp.2023.112. PMID: 37876350; PMCID: PMC7615273. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615273/ (Full text)

Functional neurological disorder and functional somatic syndromes among sexual and gender minority people: A scoping review

Abstract

Objective: To describe the current literature on functional neurological disorder and functional somatic syndromes among sexual and gender minority people (SGM).

Methods: A search string with descriptors of SGM identity and functional disorders was entered into PubMed, Embase, Web of Science, PsycInfo, and CINAHL for articles published before May 24, 2022, yielding 3121 items entered into Covidence, where 835 duplicates were removed.

A neurologist and neuropsychiatrist screened titles and abstracts based on predefined criteria, followed by full-text review. A third neurologist adjudicated discrepancies. Eligible publications underwent systematic data extraction and statistical description.

Results: Our search identified 26 articles on functional disorders among SGM people. Most articles were case (13/26, 46%) or cross-sectional (4/26, 15%) studies. Gender minority people were represented in 50% of studies. Reported diagnoses included fibromyalgia (n = 8), functional neurological disorder (n = 8), somatic symptom disorder (n = 5), chronic fatigue syndrome (n = 3), irritable bowel syndrome (n = 2), and other functional conditions (n = 3).

Three cohort studies of fibromyalgia or somatic symptom disorder reported an overrepresentation of gender minority people compared to cisgender cohorts or general population measures.

Approximately half of case studies reported pediatric or adolescent onset (7/13, 54%), functional neurological disorder diagnosis (7/13, 54%), and symptom improvement coinciding with identity-affirming therapeutic interventions (7/13, 58%).

Conclusion: Despite a methodologically rigorous literature search, there are limited data on functional neurological disorder and functional somatic syndromes among SGM people. Several studies reported increased prevalence of select conditions among transgender people. More observational studies are needed regarding the epidemiology and clinical course of functional disorders among SGM people.

Source: Lerario, Fusunyan, Stave, Roldán, Keuroghlian, Turban, Perez, Maschi, Rosendale. Functional neurological disorder and functional somatic syndromes among sexual and gender minority people: A scoping review. Journal of Psychosomatic Research: 111491. [Article in Press, Epub ahead of print] https://www.sciencedirect.com/science/article/abs/pii/S0022399923003483

Identifying, synthesising and appraising existing evidence relating to myalgic encephalomyelitis/chronic fatigue syndrome and pregnancy: a mixed-methods systematic review

Abstract

Objectives: To identify, synthesise and appraise evidence relating to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and pregnancy.

Design: Mixed-methods systematic review, using convergent segregated design.

Data sources: MEDLINE, EMBASE, Scopus, PsycINFO, CINAHL, MedRxiv, PROSPERO and grey literature sources through 6 August 2023.

Eligibility criteria: We included original research studies, expert opinion and grey literature reporting on ME/CFS and pregnancy/post partum (up to 2 years), risk of pregnancy outcomes with ME/CFS or experiences during pregnancy for mother, partner or health and social care professionals following ME/CFS during pregnancy, all where the evidence was relevant to a confirmed ME/CFS diagnosis prior to pregnancy.

Data extraction and synthesis: Three independent reviewers completed all screening, data extraction and quality assessment. Risk of bias was assessed using the mixed-methods appraisal tool V.2018. Qualitative and quantitative literature was analysed separately using thematic and descriptive syntheses. Findings were integrated through configuration.

Results: Searches identified 3675 articles, 16 met the inclusion criteria: 4 quantitative (1 grey), 11 qualitative (9 grey) and 1 grey mixed-methods study. Of the four quantitative studies that reported on ME/CFS severity during pregnancy, two suggested pregnancy negatively impacted on ME/CFS, one found most women had no change in ME/CFS symptoms and one found ME/CFS improved; this difference in symptom severity across studies was supported by the qualitative evidence. The qualitative literature also highlighted the importance of individualised care throughout pregnancy and birth, and the need for additional support during family planning, pregnancy and with childcare. Only one quantitative study reported on pregnancy outcomes, finding decreased vaginal births and higher rates of spontaneous abortions and developmental and learning delays associated with pregnancies in those with ME/CFS.

Conclusions: Current evidence on ME/CFS in pregnancy is limited and findings inconclusive. More high-quality research is urgently needed to support the development of evidence-based guidelines on ME/CFS and pregnancy.

Source: Slack E, Pears KA, Rankin J, Newton JL, Pearce M. Identifying, synthesising and appraising existing evidence relating to myalgic encephalomyelitis/chronic fatigue syndrome and pregnancy: a mixed-methods systematic review. BMJ Open. 2023 Oct 5;13(10):e070366. doi: 10.1136/bmjopen-2022-070366. PMID: 37798026. https://bmjopen.bmj.com/content/13/10/e070366 (Full text)

Healthcare system barriers impacting the care of Canadians with myalgic encephalomyelitis: a scoping review

Abstract:

Background: Myalgic encephalomyelitis (ME, also known as chronic fatigue syndrome or ME/CFS) is a debilitating, complex, multi-system illness. Developing a comprehensive understanding of the multiple and interconnected barriers to optimal care will help advance strategies and care models to improve quality of life for people living with ME in Canada.

Objectives: To: (1) identify and systematically map the available evidence; (2) investigate the design and conduct of research; (3) identify and categorize key characteristics; and (4) identify and analyze knowledge gaps related to healthcare system barriers for people living with ME in Canada.

Methods: The protocol was preregistered in July 2022. Peer-reviewed and grey literature was searched, and patient partners retrieved additional records. Eligible records were Canadian, included people with ME/CFS and included data or synthesis relevant to healthcare system barriers.

Results: In total, 1821 records were identified, 406 were reviewed in full, and 21 were included. Healthcare system barriers arose from an underlying lack of consensus and research on ME and ME care; the impact of long-standing stigma, disbelief, and sexism; inadequate or inconsistent healthcare provider education and training on ME; and the heterogeneity of care coordinated by family physicians.

Conclusions: People living with ME in Canada face significant barriers to care, though this has received relatively limited attention. This synthesis, which points to several areas for future research, can be used as a starting point for researchers, healthcare providers and decision-makers who are new to the area or encountering ME more frequently due to the COVID-19 pandemic.

Source: Said Hussein, Lauren Eiriksson, Maureen MacQuarrie, Scot Merriam, Maria Dalton, Eleanor Stein, Rosie Twomey. Healthcare system barriers impacting the care of Canadians with myalgic encephalomyelitis: a scoping review. medRxiv [Preprint] https://www.medrxiv.org/content/10.1101/2023.09.20.23295809v1.full-text (Full text)

Long COVID: A Molecular, Cellular and Histopathology Overview

Abstract:

Long COVID has been studied as different sequelae that some individuals can develop after the acute phase of the disease. Persistent symptoms such as dry cough, fatigue, and dyspnea can remain after six months of COVID-19 cure. Others such as lung fibrosis, kidney injury, and thrombotic risk also are observed. Here, a deep review of each human organ and system infected by the virus was performed aiming to show how molecules expression and cell signaling can induce the organism cure or injuries and, subsequently sequelae. The review also suggests the importance of public health surveillance for these cases including a more comprehensive analysis of molecular biology tools that can clarify and assist in the prognosis, treatment, and preventive methods for potentially more serious disorders in post-COVID-19 patients.

Source: da Silva Barros, B. , de Oliveira Cruz, L. , de Sousa, G. , Souza-Silva, G. , de Lima, M. , Oliveira, E. , Silva, A. , Macêdo, L. , Leal, L. , Marcos, B. , Elsztein, C. , Invenção, M. , de Freitas, A. and Moutinho-Melo, C. (2023) Long COVID: A Molecular, Cellular and Histopathology Overview. Journal of Biosciences and Medicines, 11, 90-113. doi: 10.4236/jbm.2023.119009. https://www.scirp.org/journal/paperinformation.aspx?paperid=127523 (Full text)

The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis

Abstract:

Background: Fatigue is one of the most common subjective symptoms that impairs daily life and predict health-related events. This study aimed to estimate the prevalence of fatigue in the global population.

Methods: PubMed and the Cochrane Library were used to search for relevant articles from inception to December 31, 2021. Studies with prevalence data of fatigue in the general population were selected and reviewed by three authors independently and cross-checked. Regarding subgroups, adults (≥18 years), minors (<18 years), and specific occupation population (participants in each study being limited to a specific occupational group), and fatigue types and severity, meta-analysis was conducted to produce point estimates and 95% confidence intervals (95% CI).

Results: From the initial 3,432 studies, 91 studies accounting for 115 prevalence data points (623,624 participants) were finally selected. The prevalence of general fatigue (fatigue lasting < 6 months, or fatigue of unspecified duration) was 20.4% (95% CI, 16.7–25.0) in adults, 11.7% (95% CI, 5.2–26.6) in minors, and 42.3% (95% CI, 33.0–54.2) in specific occupations. Chronic fatigue (fatigue lasting more than 6 months) affected 10.1% (95% CI, 8.2–12.5) of adults, 1.5% (95% CI, 0.5–4.7) of minors, and 5.5% (95% CI, 1.4–21.6) of subjects in specific occupations. There was an overall female-predominant prevalence for all subgroup analyses, with a total odds ratio of 1.4 (95% CI, 1.3–1.6).

Regarding the severity and presence of medical causes, the total prevalence of moderate fatigue [14.6% (95% CI, 9.8–21.8)] was 2.4-fold that of severe fatigue [6.1% (95% CI, 3.4–11.0)], while unexplained fatigue (fatigue experienced by individuals without any underlying medical condition that can explain the fatigue) was ~2.7-fold that of explained fatigue (fatigue experienced by individuals with a medical condition that can explain the fatigue); as proportion of 40.0% of physical, 8.6% of mental, and 28.4% of mixed cause.

Conclusions: This study has produced the first comprehensive picture of global fatigue prevalence in the general population, which will provide vital reference data contributing to fatigue-related research, including the prevention of diseases.

Source: Yoon JH, Park NH, Kang YE, Ahn YC, Lee EJ, Son CG. The demographic features of fatigue in the general population worldwide: a systematic review and meta-analysis. Front Public Health. 2023 Jul 28;11:1192121. doi: 10.3389/fpubh.2023.1192121. PMID: 37575103; PMCID: PMC10416797. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416797/ (Full text)

Advancing the Management of Long COVID by Integrating into Health Informatics Domain: Current and Future Perspectives

Abstract:

The ongoing COVID-19 pandemic has profoundly affected millions of lives globally, with some individuals experiencing persistent symptoms even after recovering. Understanding and managing the long-term sequelae of COVID-19 is crucial for research, prevention, and control. As a result, to monitor the health of individuals affected by these conditions, they must maintain up-to-date health records using digital health informatics apps for surveillance.

In this review, we provide an overview of the existing literature on identifying long COVID manifestations through hierarchical classification and the characterization of long COVID by different hierarchical groups based on the Human Phenotype Ontology (HPO). We outline the aspects of the National COVID Cohort Collaborative (N3C) and Researching COVID to Enhance Recovery (RECOVER) in artificial intelligence (AI) to identify long COVID.

Knowledge exploration, using the concept map for the clinical pathways of long COVID presented in this paper, provides an overview of the data needed to explore tackling the long-term effect of COVID-19 by integrating innovative cohesive frameworks and designing health informatics-based applications. To the best of our knowledge, this is the first paper to explore the potential incorporation of long COVID as a variable risk factor within a digital health informatics application.

Source: Ambalavanan, R.; Snead, R.S.; Marczika, J.; Kozinsky, K.; Aman, E. Advancing the Management of Long COVID by Integrating into Health Informatics Domain: Current and Future Perspectives. Preprints.org2023, 2023062111. https://doi.org/10.20944/preprints202306.2111.v1 https://www.preprints.org/manuscript/202306.2111/v1 (Full text available as PDF file)

The Economic Cost of Long COVID: An Update

Relative to my earlier estimate with Lawrence Summers of the cost of long COVID of $2.6 trillion, the higher number here is higher: $3.7 trillion in total. The higher estimate is largely a result of the greater prevalence of long COVID than we had guessed at the time. There are about 10 times the number of people with long COVID as have died of COVID. Because long COVID is so new, there is uncertainty about all of the numbers involved in the calculations. Still, the costs here are conservative, based on only cases to date. The enormity of these costs implies that policy to address long COVID are urgently needed. With costs this high, virtually any amount spent on long COVID detection, treatment, and control would result in benefits far above what it costs.

Read the full text here: https://scholar.harvard.edu/files/cutler/files/long_covid_update_7-22.pdf

Note: See The COVID-19 Pandemic and the $16 Trillion Virus for background.

Source: David M. Cutler. The Economic Cost of Long COVID: An Update. Harvard University.

Long Covid: conceptualizing the challenges for public health

Abstract:

Background: Long Covid has caused significant disruption to public services, economies and population health worldwide, but no single public health approach has proven effective in its management. This essay was the winning entry for the Faculty of Public Health’s Sir John Brotherston Prize 2022.

Methods: In this essay, I synthesize existing literature on public health policy in long Covid, and discuss the challenges and opportunities posed by long Covid for the public health profession. The utility of specialist clinics and community care, in the UK and internationally, is examined, as well as key outstanding issues relating to evidence generation, health inequality and defining long Covid. I then use this information to inform a simple conceptual model.

Results: The generated conceptual model integrates community- and population-level interventions; key areas of identified policy need at both levels include ensuring equitable access to long Covid care, developing screening programmes for high-risk populations, co-production of research and clinical services with patients, and using interventions to generate evidence.

Conclusions: Significant challenges remain in the management of long Covid from a public health policy perspective. Multidisciplinary community-level and population-level interventions should be employed with a view to achieving an equitable and scalable model of care.

Source: Prashar J. Long Covid: conceptualizing the challenges for public health. J Public Health (Oxf). 2023 May 2:fdac153. doi: 10.1093/pubmed/fdac153. Epub ahead of print. PMID: 37132023. https://academic.oup.com/jpubhealth/advance-article/doi/10.1093/pubmed/fdac153/7147865 (Full text)

Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study

Abstract:

Background:

Previous research has shown that socioeconomic status (SES) is a strong predictor of chronic disease. However, to the best of our knowledge, there has been no studies of how SES affects the risk of Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) that has not been based upon self-reporting or retrospectively screening of symptoms. As far as we know, this is therefore the first study that isolate and describe socioeconomic determinants of ME/CFS and calculate how these factors relate to the risk of ME/CFS diagnosis by utilizing individual level registry data, which allows for objective operationalization of the ME/CFS population, and the utilization of different control groups.

Data and methods: We utilize health registry data from all adult patients diagnosed with ME/CFS from 2016-2018 in Norway, coupled with socioeconomic data from statistics Norway from 2009-2018. We operationalize SES as household income and educational attainment fixed at the beginning of the study period. We compare the effects of SES on the risk of ME/CFS diagnosis to a population of patients with hospital diagnoses that share clinical characteristics of ME/CFS and a healthy random sample of the Norwegian population. Our models are estimated by logistic regression analyses.Results: When comparing the risk of ME/CFS diagnosis with a population consisting of people with four specific chronic diseases, we find that high educational attainment is associated with a 19% increase (OR: 1.19) in the risk of ME/CFS and that high household income is associated with a 18% increase (OR:0.82) in risk of ME/CFS. In model 2, when comparing with a healthy population sample, we find that low educational attainment is associated with 69% decrease (OR:0.31) in the risk of ME/CFS and that low household income is associated with a 53% increase (OR: 1.53).

Conclusion: We find statistically significant associations between SES and the risk of ME/CFS. However, our more detailed analyses shows that our findings vary according to which population we compare the ME/CFS patients with, and that the effect of SES is larger when comparing with a healthy population sample, as opposed to controls with selected hospital diagnoses.

Source: Hilland GH, Anthun KS. Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study. Research Square; 2023. DOI: 10.21203/rs.3.rs-2755999/v1. https://europepmc.org/article/ppr/ppr646979 (Full text available as PDF file)