Abstract:
Tag: women
Long COVID in cancer patients: preponderance of symptoms in majority of patients over long time period
Abstract:
Background: An increasing number of observational studies have reported the persistence of symptoms following recovery from acute COVID-19 disease in non-cancer patients. The long-term consequences of COVID-19 are not fully understood particularly in the cancer patient population. The purpose of this study is to assess post-acute sequelae of SARS-CoV-2 infection (PASC) in cancer patients following acute COVID-19 recovery.
Methods: We identified cancer patients at MD Anderson Cancer Center who were diagnosed with COVID-19 disease between March 1, 2020 and Sept 1, 2020 and followed them till May 2021. To assess PASC, we collected patients reported outcomes through questionnaires that were sent to patients daily for 14 days after COVID-19 diagnosis then weekly for 3 months, and then monthly thereafter. We also reviewed patients’ electronic medical records to capture the persistence or emergence of new COVID19-related symptoms reported during any clinic or hospital encounter beyond 30 days of the acute illness and up to 14 months.
Results: We included 312 cancer patients with a median age of 57 years (18-86). The majority of patients had solid tumors (75%). Of the 312 patients, 188 (60%) reported long COVID-19 symptoms with a median duration of 7 months and up to 14 months after COVID-19 diagnosis. The most common symptoms reported included fatigue (82%), sleep disturbances (78%), myalgias (67%) and gastrointestinal symptoms (61%), followed by headache, altered smell or taste, dyspnea (47%) and cough (46%). A higher number of females reported a persistence of symptoms compared to males (63% vs 37%; p=0.036). Cancer type, neutropenia, lymphocytopenia, and hospital admission during acute COVID-19 disease were comparable in both groups. Among the 188 patients with PASC, only 16 (8.5%) were readmitted for COVID-related reasons.
Conclusions: More than one out of two cancer patients, and more likely females, report PASC that may persist beyond 6 months and even one year. The most common symptoms are non-respiratory and consist of fatigue, sleep disturbance, myalgia and gastro-intestinal symptoms. Most of the cancer patients with PASC were managed on outpatient basis with only 8,5% requiring a COVID-19 related re-admission.
Source: Dagher H, Chaftari AM, Subbiah IM, Malek AE, Jiang Y, Lamie P, Granwehr B, John T, Yepez E, Borjan J, Reyes-Gibby C, Flores M, Khawaja F, Pande M, Ali N, Rojo R, Karp DD, Chaftari P, Hachem R, Raad II. Long COVID in cancer patients: preponderance of symptoms in majority of patients over long time period. Elife. 2023 Feb 7;12:e81182. doi: 10.7554/eLife.81182. Epub ahead of print. PMID: 36748905. https://elifesciences.org/articles/81182 (Full text)
Long Covid and Neurodegenerative Disease
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Brain fog with compromised ability to concentrate has been the most frequent Long Covid (LC) complaint. This is due to an increased TGF beta/IFN gamma with consequently increased bradykinin (BKN), especially in Caucasian females. Brain and lung blood vessels “leak.” This same ratio is increased in Alzheimer’s disease (AD), but decreased in Parkinson’s disease (PD), because CD4+ and CD8+ T cells are differentially affected by the invading associated viruses, e.g., SARS CoV2, HIV, ….
In Covid-19 CD147 receptors on immune cells are critical in generating the increased TGF beta/IFN gamma and those on endothelial cells, platelets, and erythrocytes are critical to the abnormal microvascular blood flow. ACE2 receptors on pneumocytes and enterocytes enable pulmonary and GI entry, initiating gut dysbiosis.
Epigenetics, methylation, magnesium, vitamin D, the B vitamins, and antioxidants suggest that these issues can be surmounted. Biochemical, physiologic, and epidemiologic data are analyzed to answer these questions. An LC model is presented and discussed in the context of the most recent research. Suggestions to avoid these and other worrisome concerns are included. Other topics discussed include estrogen, the gut microbiome, type 2 diabetes (T2D), and homocysteine.
Source: Chambers, P. Long Covid and Neurodegenerative Disease. Preprints 2023, 2023020027 (doi: 10.20944/preprints202302.0027.v1) https://www.preprints.org/manuscript/202302.0027/v1 (Full text available as PDF file)
Stress-Induced Transcriptomic Changes in Females with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Reveal Disrupted Immune Signatures
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Epidemiology, symptomatology, and risk factors for long COVID symptoms: Multi-centre study
Abstract:
Background: Long COVID induces a substantial global burden of disease. The pathogenesis, complications, epidemiological and clinical characteristics of COVID-19 patients in the acute phase have been evaluated, while few studies have characterized the epidemiology, symptomatology and risk factors of long COVID symptoms. Its characteristics among coronavirus disease 2019 (COVID-19) patients in the general population remain unaddressed.
Objective: We examined the prevalence of long COVID symptoms, its symptom patterns, and its risk factors. we aimed to fill the knowledge gaps by evaluating the prevalence of long COVID symptoms in four major Chinese cities.
Methods: We performed a population-based, multi-centre survey by a representative sampling strategy via the Qualtrics platform in Beijing, Shanghai, Guangzhou and Hong Kong (June 2022). We included 2,712 community-dwelling, COVID-19 patients, and measured the prevalence of long COVID symptoms defined by the WHO, and their risk factors. The primary outcomes were the symptoms of long COVID with various levels of impact. A descriptive analysis was conducted on the prevalence and distribution of the long COVID symptoms according to disease severity. A sensitivity analysis of increasing the number of long COVID symptoms was also conducted. A univariate and multivariate regression analysis was performed to examine the risk factors of severe long COVID symptoms, including age, gender, marital status, current occupation, educational level, living status, smoking habits, monthly household income, self-perceived health status, presence of chronic diseases, use of chronic medication, COVID-19 vaccination status, and severity of COVID-19.
Results: The response rate was 63.6%. The prevalence of long COVID, moderate or severe long COVID, and severe long COVID was 90.4%, 62.4%, and 31.0%, respectively. Fatigue (33.7%), cough (31.9%), sore throat (31.0%), difficulty in concentration (30.5%), feeling of anxiety (30.2%), myalgia (29.9%), and arthralgia (29.9%) were the most common severe long COVID symptoms. From multivariate regression analysis, female gender (adjusted odds ratio [aOR]=1.49, 95% C.I.=1.13-1.95), engagement in transportation, logistics, or discipline workforce (aOR=2.52, 95% C.I.=1.58-4.03), living with domestic workers (aOR=2.37, 95% C.I.=1.39-4.03), smoking (aOR=1.55, 95% C.I.=1.17-2.05), poor self-perceived health status (aOR 5.06 to 15.38), chronic diseases (aOR 1.92 to 2.71), chronic medication use (aOR=4.38, 95% C.I.=1.66-11.53), and critical severity of COVID-19 (aOR=1.52, 95% C.I.=1.07-2.15) were associated with severe long COVID. Prior vaccination for ≥2 doses of COVID-19 was a protective factor (aOR=0.35-0.22, 95% C.I.=0.08-0.90).
Conclusions: We have examined the prevalence of long COVID symptoms in four Chinese cities according to the severity of COVID-19. We also evaluated the pattern of long COVID symptoms, and their risk factors. These findings may inform early identification of COVID-19 patients at risk of long COVID and planning of rehabilitative services.
Source: Wong MC, Huang J, Wong NY, Wong GL, Yip TC, Chan RN, Chau SW, Ng SC, Wing YK, Chan FK. Epidemiology, symptomatology, and risk factors for long COVID symptoms: Multi-centre study. JMIR Public Health Surveill. 2023 Jan 12. doi: 10.2196/42315. Epub ahead of print. PMID: 36645453. https://pubmed.ncbi.nlm.nih.gov/36645453/
Long COVID Symptomatology and Associated Factors in Primary Care Patients: The EPICOVID-AP21 Study
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“I Just Want to Feel Safe Going to a Doctor”: Experiences of Female Patients with Chronic Conditions in Australia
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Background: The androcentric history of medicine and medical research has led to an ongoing sex and gender gap in health research and education. Sex and gender gaps in research and education may translate into real-life health inequities for women. This study aimed to explore the experiences of female patients with chronic health conditions in the Australian health system, considering existing sex and gender gaps in medicine.
Methods: This qualitative study used semistructured in-depth interviews with a sample of adult women with chronic conditions in Australia. Thematic analysis was undertaken, guided by Braun and Clarke. Software NVivoX64 assisted in the management of the data. Coding was performed before grouping into subthemes and central themes. To allow for potential researcher biases, the principal researcher engaged in the practice of reflexivity, including the writing of detailed notes during analysis.
Results: Twenty adult Australian women with chronic conditions were interviewed. Diagnoses were varied and included Ehlers-Danlos syndrome, chronic fatigue syndrome, functional neurological disorder, and inflammatory bowel disease. Four central themes emerged: diagnostic difficulties; spectrum of health care experiences; understanding medical complexity; and coping with symptoms.
Conclusions: Women with chronic conditions in Australia report pain, fatigue, and suffering that significantly impacts upon their daily lives. There was a shared experience of feeling that the pain and suffering of women was dismissed or not taken seriously. Many women expressed trauma because of their experiences in health care and often this led to a fear of accessing health services. The participants highlighted a need for more knowledge, understanding, and empathy from health care practitioners.
Source: Merone L, Tsey K, Russell D, Nagle C. “I Just Want to Feel Safe Going to a Doctor”: Experiences of Female Patients with Chronic Conditions in Australia. Womens Health Rep (New Rochelle). 2022 Dec 22;3(1):1016-1028. doi: 10.1089/whr.2022.0052. PMID: 36636320; PMCID: PMC9811844. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811844/ (Full text)
Long COVID: an estrogen-associated autoimmune disease?
Introduction:
Some people who have had severe to a moderate or mild form of COVID-19 disease may suffer from variable and debilitating symptoms for many months after the initial infection1. This condition is commonly called “Long COVID”. An exact definition is missing, but symptoms with a duration of more than 2 months are typically considered as Long COVID. The condition is characterized by long-term sequelae and can involve a range of symptoms such as persistent fatigue, headache, shortness of breath, anosmia, muscle weakness, fever, cognitive dysfunction (brain fog), tachycardia, intestinal disorders, and skin manifestations. Long COVID syndrome bears a similarity to the post-infectious syndromes that followed the outbreaks of chikungunya2 and Ebola3.
In general, women appear to be twice as likely to develop Long COVID as men, but only until around age 60, when the risk level becomes similar. In addition to being a woman, older age and a higher body mass index also seem to be risk factors for having Long COVID4.
Source: Ortona E, Buonsenso D, Carfi A, Malorni W; Long Covid Kids study group. Long COVID: an estrogen-associated autoimmune disease? Cell Death Discov. 2021 Apr 13;7(1):77. doi: 10.1038/s41420-021-00464-6. PMID: 33850105; PMCID: PMC8042352. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042352/ (Full text)
Cognitive impairments among patients in a long-COVID clinic: Prevalence, pattern and relation to illness severity, work function and quality of life
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Background: A considerable proportion of people experience lingering symptoms after Coronavirus Disease 2019 (COVID-19). The aim of this study was to investigate the frequency, pattern and functional implications of cognitive impairments in patients at a long-COVID clinic who were referred after hospitalisation with COVID-19 or by their general practitioner.
Methods: Patients underwent cognitive screening and completed questionnaires regarding subjective cognition, work function and quality of life. Patients’ cognitive performance was compared with that of 150 age-, sex-, and education-matched healthy controls (HC) and with their individually expected performance calculated based on their age, sex and education.
Results: In total, 194 patients were assessed, on average 7 months (standard deviation: 4) after acute COVID-19.44-53 % of the patients displayed clinically relevant cognitive impairments compared to HC and to their expected performance, respectively. Moderate to large impairments were seen in global cognition and in working memory and executive function, while mild to moderate impairments occurred in verbal fluency, verbal learning and memory. Hospitalised (n = 91) and non-hospitalised (n = 103) patients showed similar degree of cognitive impairments in analyses adjusted for age and time since illness. Patients in the cognitively impaired group were older, more often hospitalised, had a higher BMI and more frequent asthma, and were more often female. More objective cognitive impairment was associated with more subjective cognitive difficulties, poorer work function and lower quality of life.
Limitations: The study was cross-sectional, which precludes causality inferences.
Conclusions: These findings underscore the need to assess and treat cognitive impairments in patients at long-COVID clinics.
Source: Miskowiak KW, Pedersen JK, Gunnarsson DV, Roikjer TK, Podlekareva D, Hansen H, Dall CH, Johnsen S. Cognitive impairments among patients in a long-COVID clinic: Prevalence, pattern and relation to illness severity, work function and quality of life. J Affect Disord. 2022 Dec 28;324:162-169. doi: 10.1016/j.jad.2022.12.122. Epub ahead of print. PMID: 36586593; PMCID: PMC9795797. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795797/ (Full text)
Deep Dive into the Long Haul: Analysis of Symptom Clusters and Risk Factors for Post-Acute Sequelae of COVID-19 to Inform Clinical Care
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Long COVID is a chronic condition characterized by symptoms such as fatigue, dyspnea, and cognitive impairment that persist or relapse months after an acute infection with the SARS-CoV-2 virus. Many distinct symptoms have been attributed to Long COVID; however, little is known about the potential clustering of these symptoms and risk factors that may predispose patients to certain clusters. In this study, an electronic survey was sent to patients in the UC San Diego Health (UCSDH) system who tested positive for COVID-19, querying if patients were experiencing symptoms consistent with Long COVID.
Based on survey results, along with patient demographics reported in the electronic health record (EHR), linear and logistic regression models were used to examine putative risk factors, and exploratory factor analysis was performed to determine symptom clusters. Among 999 survey respondents, increased odds of Long COVID (n = 421; 42%) and greater Long COVID symptom burden were associated with female sex (OR = 1.73, 99% CI: 1.16-2.58; β = 0.48, 0.22-0.75), COVID-19 hospitalization (OR = 4.51, 2.50-8.43; β = 0.48, 0.17-0.78), and poorer pre-COVID self-rated health (OR = 0.75, 0.57-0.97; β = -0.19, -0.32–0.07).
Over one-fifth of Long COVID patients screened positive for depression and/or anxiety, the latter of which was associated with younger age (OR = 0.96, 0.94-0.99). Factor analysis of 16 self-reported symptoms suggested five symptom clusters-gastrointestinal (GI), musculoskeletal (MSK), neurocognitive (NC), airway (AW), and cardiopulmonary (CP), with older age (β = 0.21, 0.11-0.30) and mixed race (β = 0.27, 0.04-0.51) being associated with greater MSK symptom burden. Greater NC symptom burden was associated with increased odds of depression (OR = 5.86, 2.71-13.8) and anxiety (OR = 2.83, 1.36-6.14).
These results can inform clinicians in identifying patients at increased risk for Long COVID-related medical issues, particularly neurocognitive symptoms and symptom clusters, as well as informing health systems to manage operational expectations on a population-health level.
Source: Goldhaber NH, Kohn JN, Ogan WS, Sitapati A, Longhurst CA, Wang A, Lee S, Hong S, Horton LE. Deep Dive into the Long Haul: Analysis of Symptom Clusters and Risk Factors for Post-Acute Sequelae of COVID-19 to Inform Clinical Care. Int J Environ Res Public Health. 2022 Dec 15;19(24):16841. doi: 10.3390/ijerph192416841. PMID: 36554723; PMCID: PMC9778884. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778884/ (Full text)