Tag: long covid risk factors

Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative

Abstract:

Recent studies have investigated post-acute sequelae of SARS-CoV-2 infection (PASC, or long COVID) using real-world patient data such as electronic health records (EHR). Prior studies have typically been conducted on patient cohorts with specific patient populations which makes their generalizability unclear. This study aims to characterize PASC using the EHR data warehouses from two large Patient-Centered Clinical Research Networks (PCORnet), INSIGHT and OneFlorida+, which include 11 million patients in New York City (NYC) area and 16.8 million patients in Florida respectively.

With a high-throughput screening pipeline based on propensity score and inverse probability of treatment weighting, we identified a broad list of diagnoses and medications which exhibited significantly higher incidence risk for patients 30-180 days after the laboratory-confirmed SARS-CoV-2 infection compared to non-infected patients.

We identified more PASC diagnoses in NYC than in Florida regarding our screening criteria, and conditions including dementia, hair loss, pressure ulcers, pulmonary fibrosis, dyspnea, pulmonary embolism, chest pain, abnormal heartbeat, malaise, and fatigue, were replicated across both cohorts. Our analyses highlight potentially heterogeneous risks of PASC in different populations.

Source: Zang C, Zhang Y, Xu J, Bian J, Morozyuk D, Schenck EJ, Khullar D, Nordvig AS, Shenkman EA, Rothman RL, Block JP, Lyman K, Weiner MG, Carton TW, Wang F, Kaushal R. Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative. Nat Commun. 2023 Apr 7;14(1):1948. doi: 10.1038/s41467-023-37653-z. PMID: 37029117; PMCID: PMC10080528. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080528/ (Full text)

Prevalence and Characterization of Long Covid-19 Symptoms in Health Care Professionals- A Need of the Hour

Abstract:

Background: With the global advent of Covid-19, Healthcare workers (HCW) were under a lot of physical and psychological pressure. Information on persistent symptoms post Covid-19 Infection in HCWs is lacking.

Objectives: This Study is aimed at assessing the impact of the post Covid-19 syndrome in HCWs.

Materials and Methods: A Questionnaire was prepared as google form and shared with the HCWs through WhatsApp enquiring regarding the health conditions that are still persistent post recovery from Covid-19 infection.

Results: A total of 328 Health Care Professionals participated in the present survey (18-65 yrs). The gender distribution revealed 67.7% were females and 32.3% were males. 60.3% of the participants were infected with COVID-19 before taking the first dose of vaccination which is reduced to 17.5% after vaccination. The post COVID complications observed from the study were hair loss (35.4%), easy fatigability (25%), mood swings (22.9%), anxiety (18.8%), insomnia/sleeplessness (13.9%), depression (12.5%) and joint pains/arthritis (11.8%). The other complications observed were loss of taste (9%), lightheadedness/postural hypotension (8.3%), amnesia/loss of memory and anosmia/loss of smell (7.6%), gastritis (6.3%), palpitations, hypersomnia and pulmonary complications (5.6%) and chest pain (4.9%). Unpaired t-test and One-Way ANNOVA resulted in a significant value (p values of >0.05).

Discussion: Despite the fact that females experienced more post-Covid-19 symptoms (15 out of 17), males experienced more chest pain and anxiety symptoms. According to our findings, 57 of 100 Covid-19 health care workers have post-Covid complications. The participants presented with non-specific symptoms such as easy fatigability, mood swings, light headedness, anxiety but most of the participants quoted more specific symptoms such as depression, pulmonary complications, hair loss, joint pains, gastritis, chest pain, palpitations, loss of taste, amnesia, hyperglycemia, insomnia, hypersomnia and anosmia. However, non-specific symptoms such as fatigue, mood swings, lightheadedness, and anxiety were also mentioned. The symptoms of post-acute COVID-19 syndrome vary greatly. Early detection requires a unified definition of long COVID and characterization of its manifestation. Furthermore, more research should be conducted to identify risk factors and the precise mechanisms that lead to the development of long COVID syndrome. Such knowledge may aid future research aimed at preventing such a complication.

Source: Mote Srinath, Syeda Fakiha Mehreen, Surya Prem Kumar et al. Prevalence and Characterization of Long Covid-19 Symptoms in Health Care Professionals- A Need of the Hour, 05 April 2023, PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/rs.3.rs-2764197/v1 (Full text)

Occupational differences in the prevalence and severity of long-COVID: Analysis of the ONS Coronavirus (COVID-19) Infection Survey

Abstract:

Objectives To establish whether prevalence and severity of long-COVID symptoms vary by industry and occupation.

Methods We utilised ONS Coronavirus Infection Survey (CIS) data (February 2021-April 2022) of working-age participants (16-65 years). Exposures were industrial sector, occupation and major Standard Occupational Classification (SOC) group. Outcomes were self-reported: (1) long-COVID symptoms; and (2) reduced function due to long-COVID. Binary (outcome 1) and ordered (outcome 2) logistic regression were used to estimate odds ratios (OR) and prevalence (marginal means) for all exposures.

Results Public facing industries, including teaching and education, social care, healthcare, civil service, retail and transport industries and occupations had highest odds ratios for long-COVID. By major SOC group, those in caring, leisure and other services (OR 1.44, CIs: 1.38-1.52) had substantially elevated odds than average. For almost all exposures, the pattern of odds ratios for long-COVID symptoms followed that for SARS-CoV-2 infections, except for professional occupations (OR<1 for infection; OR>1 for long-COVID). The probability of reporting long-COVID for industry ranged from 7.7% (financial services) to 11.6% (teaching and education); whereas the prevalence of reduced function by ‘a lot’ ranged from 17.1% (arts, entertainment and recreation) to 22-23% (teaching and education and armed forces) and to 27% (those not working).

Conclusions The risk and prevalence of long-COVID differs across industries and occupations. Generally, it appears that likelihood of developing long-COVID symptoms follows likelihood of SARS-CoV-2 infection, except for professional occupations. These findings highlight sectors and occupations where further research is needed to understand the occupational factors resulting in long-COVID.

Source: Theocharis Kromydas, Evangelia Demou, Rhiannon Edge, Matthew Gittins, S Vittal Katikireddi, Neil Pearce, Martie van Tongeren, Jack Wilkinson, Sarah Rhodes. Occupational differences in the prevalence and severity of long-COVID: Analysis of the ONS Coronavirus (COVID-19) Infection Survey. medRxiv 2023.03.24.23287666; doi: https://doi.org/10.1101/2023.03.24.23287666 https://www.medrxiv.org/content/10.1101/2023.03.24.23287666v1.full-text (Full text)

Long-COVID fatigue is not predicted by pre-pandemic plasma IL-6 levels in mild COVID-19 infection

Abstract:

Objective and design: Fatigue is a prominent symptom in the general population and may follow viral infection, including SARS-CoV2 infection which causes COVID-19. Chronic fatigue lasting more than three months is a major symptom of the long-COVID syndrome. The mechanisms underlying long-COVID fatigue are unknown. We hypothesized that the development of long-COVID chronic fatigue is driven by the pro-inflammatory immune status of an individual prior to COVID-19 infection.

Subjects and methods: We tested this hypothesis by analysing pre-pandemic plasma levels of IL-6, which plays a key role in persistent fatigue, in N = 1274 community dwelling adults from TwinsUK. Subsequent COVID-19 positive and COVID-19 negative participants were categorized based on antigen and antibody testing. Chronic fatigue was assessed using the Chalder Fatigue Scale.

Results: COVID-19 positive participants exhibited mild symptoms of infection. Chronic fatigue was a prevalent symptom among this population and was significantly higher in the COVID-19 positive participants than COVID-19 negative participants (17% vs 11%, respectively; p = 0.001). The qualitative nature of chronic fatigue as determined by individual questionnaire responses was similar in COVID-19 positive and COVID-19 negative participants. Pre-pandemic plasma IL-6 levels were positively associated with chronic fatigue in COVID-19 negative, but not COVID-19 positive
individuals. Raised BMI was associated with chronic fatigue in COVID-19 positive participants.

Conclusions: We found evidence that pre-existing increased levels of IL-6 provide the ground for chronic fatigue symptoms but there was no specific link seen with mild COVID-19 status. Elevated BMI increased the risk of chronic fatigue in mild COVID-19 infection consistent with previous reports.

Source: B Freidin, M., Borsini, A., Pariante, C., & MK Williams, F. (2023). Long-COVID fatigue is not predicted by prepandemic plasma IL-6 levels in mild COVID-19 infection. Inflammation Research. https://kclpure.kcl.ac.uk/portal/files/201594849/Freidin_et_al._2023.pdf (Full text)

Association of Laparoscopically-confirmed Endometriosis with Long COVID: A Prospective Cohort Study

Abstract:

Background: Women are at greater risk than men of developing chronic inflammatory conditions and of developing ‘long COVID.’ However, few gynecologic health risk factors for long COVID have been identified. Endometriosis is a common gynecological disorder associated with chronic inflammation, immune dysregulation, and comorbid presentation with autoimmune and clotting disorders, all of which are pathophysiologic mechanisms proposed for long COVID. Therefore, we hypothesized that women with a history of endometriosis may be at greater risk of developing long COVID.

Objective: To investigate the association between history of endometriosis prior to SARS-CoV-2 infection and risk of long COVID.

Methods: We followed 46,579 women from two ongoing prospective cohort studies: the Nurses’ Health Study II and the Nurses’ Health Study 3, who participated in a series of COVID-19-related surveys administered from April 2020 to November 2022. Laparoscopic diagnosis of endometriosis was documented prospectively in main cohort questionnaires prior to the pandemic (1993-2020) with high validity. SARS-CoV-2 infection (confirmed by antigen, PCR, or antibody test) and CDC-defined long-term COVID-19 symptoms (≥4 weeks) were self-reported during follow-up. Among individuals with SARS-CoV-2 infection, we fit Poisson regression models to assess the associations between endometriosis and risk of long COVID-19 symptoms, with adjustment for potential confounding variables (demographics, body mass index, smoking status, history of infertility, and history of chronic diseases).

Results: Among 3650 women in our sample with self-reported SARS-CoV-2 infections during follow-up, 386 (10.6%) had a history of endometriosis with laparoscopic confirmation and 1598 (43.8%) reported experiencing long COVID symptoms. The majority of women were Non-Hispanic White (95.4%), with a median age of 59 years (interquartile range=44-65). Women with a history of laparoscopically-confirmed endometriosis had a 22% greater risk of developing long COVID (adjusted RR=1.22, 95% CI=1.05-1.42), compared to those who had never been diagnosed with endometriosis. The association was stronger when we defined long COVID as having symptoms ≥8 weeks (RR=1.28, 95% CI=1.09-1.50). We observed no statistically significant differences in the relationship between endometriosis and long COVID by age, infertility history, or comorbidity with uterine fibroids, although there was a suggestive trend that women <50 years may be at higher risk (<50 years, RR=1.37, 95% CI=1.00-1.88; ≥50 years, RR=1.19, 95% CI=1.01-1.41). Among persons who developed long COVID, women with endometriosis reported on average one additional long-term symptom compared to women without endometriosis.

Conclusions and relevance: Our findings suggest that those with a history of endometriosis may be at modestly increased risk for long COVID. Health care providers should be aware of endometriosis history when treating patients for signs of persisting symptoms post-SARS-CoV-2 infection. Future studies should investigate the potential biological pathways underlying these associations.

Source: Wang S, Farland LV, Gaskins AJ, Mortazavi J, Wang YX, Tamimi RM, Rich-Edwards JW, Zhang D, Terry KL, Chavarro JE, Missmer SA. Association of Laparoscopically-confirmed Endometriosis with Long COVID: A Prospective Cohort Study. Am J Obstet Gynecol. 2023 Mar 25:S0002-9378(23)00177-1. doi: 10.1016/j.ajog.2023.03.030. Epub ahead of print. PMID: 36972892. https://pubmed.ncbi.nlm.nih.gov/36972892/ https://www.ajog.org/article/S0002-9378(23)00177-1/pdf (Full text available as PDF file)

A prospective cohort study assessing the relationship between long-COVID symptom incidence in COVID-19 patients and COVID-19 vaccination

Abstract:

Current studies about the long-term effects of COVID-19 show a wide range of symptoms. This prospective cohort study aimed to find the incidence of long-COVID symptoms and the associated risk factors.

We followed 669 confirmed COVID-19 patients. Sociodemographic and clinical data were extracted from medical records and collected via semi-structured telephone interviews on days 10, 30, 60, and 90. The incidence of long-COVID symptoms was 41.6% (95% CI 37.8-45.4%). Females [aOR = 1.5 (95% CI 1.1-2.3)], the elderly [aOR = 4.9 (95% CI 2.0-11.3)], and those who required hospitalization [aOR = 5.0 (95% CI 1.3-3.7)] were at a higher risk of developing long-COVID. Patients with dyspnea at day 10 [aOR: 2.4 (95% CI 1.6-3.7] and fatigue at day 60 [aOR: 3.1 (95% CI 1.5-6.3] were also at risk. While non-vaccinated patients were almost seven times more likely to report long-COVID symptoms than vaccinated patients [aOR: 6.9 (95% CI 4.2-11.3)].

In conclusion, long-COVID was common among COVID-19 patients, with higher rates among females, older age groups, hospitalized patients, and those with dyspnea and fatigue, while vaccination provided protection. Interventions should educate health professionals, raise general public awareness about the risks and consequences of Long COVID, and the value of vaccination.

Source: Abu Hamdh B, Nazzal Z. A prospective cohort study assessing the relationship between long-COVID symptom incidence in COVID-19 patients and COVID-19 vaccination. Sci Rep. 2023 Mar 25;13(1):4896. doi: 10.1038/s41598-023-30583-2. PMID: 36966161; PMCID: PMC10039348. https://www.nature.com/articles/s41598-023-30583-2 (Full text)

What is the role of brown adipose tissue in metabolic health: lessons learned and future perspectives in the long COVID?

Abstract:

Metabolic physiology plays a key role in maintaining our health and resilience. Metabolic disorders can lead to serious illnesses, including obesity. The pathogenesis of the new long COVID syndrome in individuals with long-term recovery after SARS-Co-2 infection is still incomplete. Thus there is growing attention in the study of adipose tissue activities, especially brown adipose tissue (BAT) and associated resilience which plays a crucial role in different types of obesity as potential targets for pharmacologic and nutritional interventions in the context of obesity and long COVID.

The number of studies examining mechanisms underlying BAT has grown rapidly in the last 10 years despite of role of BAT in individuals with COVID-19 and long COVID is modest. Therefore, this review aims to sum up data examining BAT activities, its resilience in health, obesity, and the possible link to long COVID.

The search was conducted on studies published in English mostly between 2004 and 2022 in adult humans and animal models. Database searches were conducted using PubMed, Scopus, and Google Scholar for key terms including adipose tissue, BAT, adipokinins, obesity, VPF/VEGF, and pathogenesis. From the initial search through the database were identified relevant articles that met inclusion and exclusion criteria and our data regarding adipose tissues were presented in this review.

It will discuss adiposity tissue activities. Current literature suggests that there are BAT integral effects to whitening and browning fat phenomenons which reflect the homeostatic metabolic adaptive ability for environmental demand or survival/adaptive mechanisms. We also review neural and vascular impacts in BAT that play a role in resilience and obesity. Finally, we discuss the role of BAT in the context of long COVID in basic research and clinical research.

Source: Muzyka, I., Revenko, O., Kovalchuk, I. et al. What is the role of brown adipose tissue in metabolic health: lessons learned and future perspectives in the long COVID?. Inflammopharmacol (2023). https://doi.org/10.1007/s10787-023-01195-z (Full text)

Risk Factors Associated With Post−COVID-19 Condition A Systematic Review and Meta-analysis

Abstract:

Importance  Post−COVID-19 condition (PCC) is a complex heterogeneous disorder that has affected the lives of millions of people globally. Identification of potential risk factors to better understand who is at risk of developing PCC is important because it would allow for early and appropriate clinical support.

Objective  To evaluate the demographic characteristics and comorbidities that have been found to be associated with an increased risk of developing PCC.

Data sources  Medline and Embase databases were systematically searched from inception to December 5, 2022.

Study Selection  The meta-analysis included all published studies that investigated the risk factors and/or predictors of PCC in adult (≥18 years) patients.

Data Extraction and Synthesis  Odds ratios (ORs) for each risk factor were pooled from the selected studies. For each potential risk factor, the random-effects model was used to compare the risk of developing PCC between individuals with and without the risk factor. Data analyses were performed from December 5, 2022, to February 10, 2023.

Main Outcomes and Measures  The risk factors for PCC included patient age; sex; body mass index, calculated as weight in kilograms divided by height in meters squared; smoking status; comorbidities, including anxiety and/or depression, asthma, chronic kidney disease, chronic obstructive pulmonary disease, diabetes, immunosuppression, and ischemic heart disease; previous hospitalization or ICU (intensive care unit) admission with COVID-19; and previous vaccination against COVID-19.

Results  The initial search yielded 5334 records of which 255 articles underwent full-text evaluation, which identified 41 articles and a total of 860 783 patients that were included. The findings of the meta-analysis showed that female sex (OR, 1.56; 95% CI, 1.41-1.73), age (OR, 1.21; 95% CI, 1.11-1.33), high BMI (OR, 1.15; 95% CI, 1.08-1.23), and smoking (OR, 1.10; 95% CI, 1.07-1.13) were associated with an increased risk of developing PCC. In addition, the presence of comorbidities and previous hospitalization or ICU admission were found to be associated with high risk of PCC (OR, 2.48; 95% CI, 1.97-3.13 and OR, 2.37; 95% CI, 2.18-2.56, respectively). Patients who had been vaccinated against COVID-19 with 2 doses had a significantly lower risk of developing PCC compared with patients who were not vaccinated (OR, 0.57; 95% CI, 0.43-0.76).

Conclusions and Relevance  This systematic review and meta-analysis demonstrated that certain demographic characteristics (eg, age and sex), comorbidities, and severe COVID-19 were associated with an increased risk of PCC, whereas vaccination had a protective role against developing PCC sequelae. These findings may enable a better understanding of who may develop PCC and provide additional evidence for the benefits of vaccination.

Trial Registration  PROSPERO Identifier: CRD42022381002

Source: Tsampasian V, Elghazaly H, Chattopadhyay R, et al. Risk Factors Associated With Post−COVID-19 Condition: A Systematic Review and Meta-analysis. JAMA Intern Med. Published online March 23, 2023. doi:10.1001/jamainternmed.2023.0750 https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2802877 (Full text)

Neurologic manifestations of long COVID differ based on acute COVID-19 severity

Abstract:

Objective: To characterize neurologic manifestations in post-hospitalization Neuro-PASC (PNP) and non-hospitalized Neuro-PASC (NNP) patients.

Methods: Prospective study of the first 100 consecutive PNP and 500 NNP patients evaluated at a Neuro-COVID-19 clinic between 5/2020 and 8/2021.

Results: PNP were older than NNP patients (mean 53.9 vs 44.9 y; p < 0.0001) with a higher prevalence of pre-existing comorbidities. An average 6.8 months from onset, the main neurologic symptoms were “brain fog” (81.2%), headache (70.3%), and dizziness (49.5%) with only anosmia, dysgeusia and myalgias being more frequent in the NNP compared to the PNP group (59 vs 39%, 57.6 vs 39% and 50.4 vs 33%, all p < 0.003). Moreover, 85.8% of patients experienced fatigue. PNP more frequently had an abnormal neurologic exam than NNP patients (62.2 vs 37%, p < 0.0001). Both groups had impaired quality of life in cognitive, fatigue, sleep, anxiety, and depression domains. PNP patients performed worse on processing speed, attention, and working memory tasks than NNP patients (T-score 41.5 vs 55, 42.5 vs 47 and 45.5 vs 49, all p < 0.001) and a US normative population. NNP patients had lower results in attention task only. Subjective impression of cognitive ability correlated with cognitive test results in NNP but not in PNP patients.

Interpretation: PNP and NNP patients both experience persistent neurologic symptoms affecting their quality of life. However, they harbor significant differences in demographics, comorbidities, neurologic symptoms and findings, as well as pattern of cognitive dysfunction. Such differences suggest distinct etiologies of Neuro-PASC in these populations warranting targeted interventions.

Source: Perez Giraldo GS, Ali ST, Kang AK, Patel TR, Budhiraja S, Gaelen JI, Lank GK, Clark JR, Mukherjee S, Singer T, Venkatesh A, Orban ZS, Lim PH, Jimenez M, Miller J, Taylor C, Szymanski AL, Scarpelli J, Graham EL, Balabanov RD, Barcelo BE, Cahan JG, Ruckman K, Shepard AG, Slutzky MW, LaFaver K, Kumthekar PU, Shetty NK, Carroll KS, Ho SU, Lukas RV, Batra A, Liotta EM, Koralnik IJ. Neurologic manifestations of long COVID differ based on acute COVID-19 severity. Ann Neurol. 2023 Mar 26. doi: 10.1002/ana.26649. Epub ahead of print. PMID: 36966460. https://onlinelibrary.wiley.com/doi/abs/10.1002/ana.26649 (Full text available as PDF file)

 

Severe Course of COVID-19 and Long-COVID-19 in Children: Difficulties in Diagnosis

Abstract:

The question of COVID-19 and long-COVID-19 course in children remains unsolved. This infection in children, which is associated with COVID-19, can vary from asymptomatic to systemic damage of various systems. Multisystem inflammatory syndrome in children, associated with SARS-CoV-2 (MIS-C), is a serious condition in children and adolescents after experiencing COVID-19.
Published data on MIS-C have indicated that the inflammation can be registered in the gastrointestinal tract (60–100%), as well as in cardiovascular (80%), nervous (29–58%), and respiratory (21–65%) systems. However, with the changing characteristics of SARS-CoV-2, the manifestations of COVID-19 and long-COVID-19 in children have also been changing. Currently, there is no clear understanding of the development of severe COVID-19 and MIS-C in children, especially after being exposed to patients with COVID-19.
We presented two new clinical courses of multisystem inflammatory syndrome in children with severe multisystem damage after close contact to relatives with COVID-19 or long-COVID-19. Thus, high-risk children, who are positive for SARS-CoV-2 infection after contact with COVID-19 patients, should be clinically managed during the first few months. The identification of the disease complexity requires the involvement of neurologists, cardiologists, and other specialists.
Source: Vasichkina E, Kofeynikova O, Fetisova S, Starshinova AY, Sheyanova E, Vershinina T, Ryzhkov A, Skripnik A, Alekseeva D, Nechaeva E, Glushkova A, Kudlay D, Pervunina T, Starshinova A. Severe Course of COVID-19 and Long-COVID-19 in Children: Difficulties in Diagnosis. Life. 2023; 13(3):781. https://doi.org/10.3390/life13030781 https://www.mdpi.com/2075-1729/13/3/781 (Full text)