Tag: long covid risk factors

Long COVID-A New Challenge in Medicine: Focus on Pregnancy and Breastfeeding

Abstract:

Long COVID (coronavirus disease) has been described as a new multi-organ disease, which appears to be more prevalent in women than in men. Pregnant and breastfeeding women are a special subgroup of patients to consider with long COVID, as only scarce data have been collected to date. Menstrual changes are commonly observed during or after COVID-19; some studies also attribute slight changes of cycle length to previous inoculation against the virus.
Pregnant women who have a symptomatic infection with severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) are at a higher risk for adverse outcomes and pregnancy-associated complications. Moreover, more and robust data are required to evaluate vertical transmission. COVID vaccines are the most effective tool against the pandemic, as they prevent infection, but also appear to be able to ease long COVID symptoms. Vaccines have been proven safe and effective in both pregnant and breastfeeding women. This article aims to present current data on long COVID in pregnant and breastfeeding women and elucidate risk factors and possible treatment options.
Source: Han E, Gyöngyösi M. [Long COVID-A New Challenge in Medicine: Focus on Pregnancy and Breastfeeding]. Journal fur Gynakologische Endokrinologie (Osterreichische Ausg.). 2023 Feb:1-6. DOI: 10.1007/s41974-023-00250-5. PMID: 36747883; PMCID: PMC9893966. https://europepmc.org/article/med/36747883 (Full text available in German)

Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample

Abstract:

Long-COVID-19 symptoms are an emerging public health issue. This study sought to investigate demographics, chronic illness, and probable psychiatric diagnoses as correlates for long-COVID-19 in an urban adult sample. Self-report Qualtrics surveys were sent to students across City University of New York (CUNY) campuses in New York City in Winter 2021-2022. Binary logistic regressions were used to assess the relation of a range of factors with endorsement of long-COVID-19. Results demonstrated that Latinx participants endorsed higher odds of long-COVID-19, as compared to non-Latinx white participants.

Participants who endorsed having a prior chronic illness and those who met the cut-off for probable psychiatric diagnoses all endorsed higher odds of long-COVID-19. Long-COVID-19 may be more likely among specific subpopulations and among persons with other ongoing physical and mental illness.

Source: Schulder T, Rudenstine S, Ettman CK, Galea S. Correlates of long-COVID-19: the role of demographics, chronic illness, and psychiatric diagnosis in an urban sample. Psychol Health Med. 2023 Feb 8:1-13. doi: 10.1080/13548506.2023.2177684. Epub ahead of print. PMID: 36752386. https://pubmed.ncbi.nlm.nih.gov/36752386/

Protective effect of COVID-19 vaccination against long COVID syndrome: A systematic review and meta-analysis

Abstract:

Background: The relationship between coronavirus disease 2019 (COVID-19) vaccination and long COVID has not been firmly established. We conducted a systematic review and meta-analysis to evaluate the association between COVID-19 vaccination and long COVID.

Methods: PubMed and EMBASE databases were searched on September 2022 without language restrictions (CRD42022360399) to identify prospective trials and observational studies comparing patients with and without vaccination before severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. We also included studies reporting symptomatic changes of ongoing long COVID following vaccination among those with a history of SARS-CoV-2 infection. Odds ratios (ORs) for each outcome were synthesized using a random-effects model. Symptomatic changes after vaccination were synthesized by a one-group meta-analysis.

Results: Six observational studies involving 536,291 unvaccinated and 84,603 vaccinated (before SARS-CoV-2 infection) patients (mean age, 41.2-66.6; female, 9.0-67.3%) and six observational studies involving 8,199 long COVID patients (mean age, 40.0 to 53.5; female, 22.2-85.9%) who received vaccination after SARS-CoV-2 infection were included. Two-dose vaccination was associated with a lower risk of long COVID compared to no vaccination (OR, 0.64; 95% confidence interval [CI], 0.45-0.92) and one-dose vaccination (OR, 0.60; 95% CI, 0.43-0.83). Two-dose vaccination compared to no vaccination was associated with a lower risk of persistent fatigue (OR, 0.62; 95% CI, 0.41-0.93) and pulmonary disorder (OR, 0.50; 95% CI, 0.47-0.52). Among those with ongoing long COVID symptoms, 54.4% (95% CI, 34.3-73.1%) did not report symptomatic changes following vaccination, while 20.3% (95% CI, 8.1-42.4%) experienced symptomatic improvement after two weeks to six months of COVID-19 vaccination.

Conclusions: COVID-19 vaccination before SARS-CoV-2 infection was associated with a lower risk of long COVID, while most of those with ongoing long COVID did not experience symptomatic changes following vaccination.

Source: Watanabe A, Iwagami M, Yasuhara J, Takagi H, Kuno T. Protective effect of COVID-19 vaccination against long COVID syndrome: A systematic review and meta-analysis. Vaccine. 2023 Feb 8:S0264-410X(23)00134-2. doi: 10.1016/j.vaccine.2023.02.008. Epub ahead of print. PMID: 36774332; PMCID: PMC9905096. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905096/ (Full text)

A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms

Abstract:

Background: Accurate COVID-19 prognosis is a critical aspect of acute and long-term clinical management. We identified discrete clusters of early stage-symptoms which may delineate groups with distinct disease severity phenotypes, including risk of developing long-term symptoms and associated inflammatory profiles.

Methods: 1,273 SARS-CoV-2 positive U.S. Military Health System beneficiaries with quantitative symptom scores (FLU-PRO Plus) were included in this analysis. We employed machine-learning approaches to identify symptom clusters and compared risk of hospitalization, long-term symptoms, as well as peak CRP and IL-6 concentrations.

Results: We identified three distinct clusters of participants based on their FLU-PRO Plus symptoms: cluster 1 (“Nasal cluster”) is highly correlated with reporting runny/stuffy nose and sneezing, cluster 2 (“Sensory cluster”) is highly correlated with loss of smell or taste, and cluster 3 (“Respiratory/Systemic cluster”) is highly correlated with the respiratory (cough, trouble breathing, among others) and systemic (body aches, chills, among others) domain symptoms. Participants in the Respiratory/Systemic cluster were twice as likely as those in the Nasal cluster to have been hospitalized, and 1.5 times as likely to report that they had not returned-to-activities, which remained significant after controlling for confounding covariates (P < 0.01). Respiratory/Systemic and Sensory clusters were more likely to have symptoms at six-months post-symptom-onset (P = 0.03). We observed higher peak CRP and IL-6 in the Respiratory/Systemic cluster (P < 0.01).

Conclusions: We identified early symptom profiles potentially associated with hospitalization, return-to-activities, long-term symptoms, and inflammatory profiles. These findings may assist in patient prognosis, including prediction of long COVID risk.

Source: Epsi NJ, Powers JH, Lindholm DA, Mende K, Malloy A, Ganesan A, Huprikar N, Lalani T, Smith A, Mody RM, Jones MU, Bazan SE, Colombo RE, Colombo CJ, Ewers EC, Larson DT, Berjohn CM, Maldonado CJ, Blair PW, Chenoweth J, Saunders DL, Livezey J, Maves RC, Sanchez Edwards M, Rozman JS, Simons MP, Tribble DR, Agan BK, Burgess TH, Pollett SD; EPICC COVID-19 Cohort Study Group. A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms. PLoS One. 2023 Feb 9;18(2):e0281272. doi: 10.1371/journal.pone.0281272. PMID: 36757946; PMCID: PMC9910657. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910657/ (Full text)

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)

Persistent short nighttime sleep duration is associated with a greater post-COVID risk in fully mRNA-vaccinated individuals

Abstract:

Short nighttime sleep duration impairs the immune response to virus vaccination, and long nighttime sleep duration is associated with poor health status. Thus, we hypothesized that short (<6 h) and long (>9 h) nighttime sleepers have a higher post-COVID risk than normal nighttime sleepers, despite two doses of mRNA vaccine (which has previously been linked to lower odds of long-lasting COVID-19 symptoms). Post-COVID was defined as experiencing at least one core COVID-19 symptom for at least three months (e.g., shortness of breath).

Multivariate logistic regression adjusting for age, sex, BMI, and other factors showed in 9717 respondents (age span 18-99) that two mRNA vaccinations lowered the risk of suffering from post-COVID by about 21% (p < 0.001). When restricting the analysis to double-vaccinated respondents (n = 5918), short and long sleepers exhibited a greater post-COVID risk than normal sleepers (adjusted OR [95%-CI], 1.56 [1.29, 1.88] and 1.87 [1.32, 2.66], respectively). Among respondents with persistent sleep duration patterns during the pandemic compared to before the pandemic, short but not long sleep duration was significantly associated with the post-COVID risk (adjusted OR [95%-CI], 1.59 [1.24, 2.03] and 1.18 [0.70, 1.97], respectively). No significant association between sleep duration and post-COVID symptoms was observed in those reporting positive SARS-CoV-2 test results (n = 538).

Our findings suggest that two mRNA vaccinations against SARS-CoV-2 are associated with a lower post-COVID risk. However, this protection may be less pronounced among those sleeping less than 6 h per night. Our findings warrant replication in cohorts with individuals with confirmed SARS-CoV-2 infection.

Source: Xue P, Merikanto I, Chung F, Morin CM, Espie C, Bjorvatn B, Cedernaes J, Landtblom AM, Penzel T, De Gennaro L, Holzinger B, Matsui K, Hrubos-Strøm H, Korman M, Leger D, Mota-Rolim S, Bolstad CJ, Nadorff M, Plazzi G, Reis C, Chan RNY, Wing YK, Yordanova J, Bjelajac AK, Inoue Y, Partinen M, Dauvilliers Y, Benedict C. Persistent short nighttime sleep duration is associated with a greater post-COVID risk in fully mRNA-vaccinated individuals. Transl Psychiatry. 2023 Feb 1;13(1):32. doi: 10.1038/s41398-023-02334-4. PMID: 36726008; PMCID: PMC9890416. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890416/ (Full text)

Chronic viral coinfections differentially affect the likelihood of developing long COVID

Abstract:

BACKGROUND. The presence and reactivation of chronic viral infections, such as EBV, CMV, and HIV, have been proposed as potential contributors to long COVID (LC), but studies in well-characterized postacute cohorts of individuals with COVID-19 over a longer time course consistent with current case definitions of LC are limited.

METHODS. In a cohort of 280 adults with prior SARS-CoV-2 infection, we assessed the presence and types of LC symptoms and prior medical history (including COVID-19 history and HIV status) and performed serological testing for EBV and CMV using a commercial laboratory. We used covariate-adjusted binary logistic regression models to identify independent associations between variables and LC symptoms.

RESULTS. We observed that LC symptoms, such as fatigue and neurocognitive dysfunction, at a median of 4 months following initial diagnosis were independently associated with serological evidence suggesting recent EBV reactivation (early antigen–diffuse IgG positivity) or high nuclear antigen (EBNA) IgG levels but not with ongoing EBV viremia. Serological evidence suggesting recent EBV reactivation (early antigen–diffuse IgG positivity) was most strongly associated with fatigue (OR = 2.12). Underlying HIV infection was also independently associated with neurocognitive LC (OR = 2.5). Interestingly, participants who had serologic evidence of prior CMV infection were less likely to develop neurocognitive LC (OR = 0.52).

CONCLUSION. Overall, these findings suggest differential effects of chronic viral coinfections on the likelihood of developing LC and association with distinct syndromic patterns. Further assessment during the acute phase of COVID-19 is warranted.

Source: Peluso MJ, Deveau TM, Munter SE, Ryder D, Buck A, Beck-Engeser G, Chan F, Lu S, Goldberg SA, Hoh R, Tai V, Torres L, Iyer NS, Deswal M, Ngo LH, Buitrago M, Rodriguez A, Chen JY, Yee BC, Chenna A, Winslow JW, Petropoulos CJ, Deitchman AN, Hellmuth J, Spinelli MA, Durstenfeld MS, Hsue PY, Kelly JD, Martin JN, Deeks SG, Hunt PW, Henrich TJ. Chronic viral coinfections differentially affect the likelihood of developing long COVID. J Clin Invest. 2023 Feb 1;133(3):e163669. doi: 10.1172/JCI163669. PMID: 36454631. https://www.jci.org/articles/view/163669 (Full text)

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/

Can Baseline IL-6 Levels Predict Long COVID in Subjects Hospitalized for SARS-CoV-2 Disease?

Abstract:

The immune response to infection plays a crucial role in the pathogenesis of COVID-19, but several patients develop a wide range of persistent symptoms, which is becoming a major global health and economic burden. However, reliable indicators are not yet available to predict the persistence of symptoms typical of the so-called long COVID. Our study aims to explore an eventual role of IL-6 levels as a marker of long COVID. Altogether, 184 patients admitted to the COVID Medicine Unit of the University Hospital in Palermo, Italy, from the 1st of September 2020, were analyzed.

Patients were divided into two groups according to the IL-6 serum levels (normal or elevated), considering the serum IL-6 levels measured during the first four days of hospitalization. In our study, higher serum IL-6 levels were associated with a doubled higher risk of long COVID (OR = 2.05; 95% CI: 1.04-4.50) and, in particular, they were associated with a higher incidence of mobility decline (OR = 2.55; 95% CI: 1.08-9.40) and PTSD (OR = 2.38; 95% CI: 1.06-8.61). The analysis of our case series confirmed the prominent role of IL-6 levels in response to SARS-CoV-2 infection, as predictors not only of COVID-19 disease severity and unfavorable outcomes, but also long COVID development trends.

Source: Giannitrapani L, Mirarchi L, Amodeo S, Licata A, Soresi M, Cavaleri F, Casalicchio S, Ciulla G, Ciuppa ME, Cervello M, Barbagallo M, Veronese N, The Comepa Group. Can Baseline IL-6 Levels Predict Long COVID in Subjects Hospitalized for SARS-CoV-2 Disease? Int J Mol Sci. 2023 Jan 15;24(2):1731. doi: 10.3390/ijms24021731. PMID: 36675242. https://www.mdpi.com/1422-0067/24/2/1731 (Full text)

Novel clinical and immunological features associated with persistent post-acute sequelae of COVID-19 after six months of follow-up: a pilot study

Abstract:

Background: Currently, there is scant information regarding the features associated to the persistence of post-COVID-19 syndrome, which is the main aim of the present study.

Methods: A cohort study of 102 COVID-19 patients was conducted. The post-COVID-19 symptoms were assessed by a standardised questionnaire. Lymphocyte immunophenotyping was performed by flow cytometry and chemokines/cytokines, neutrophil extracellular traps, the tripartite motif 63, anti-cellular, and anti-SARS-CoV-2 IgG antibodies were addressed in serum. The primary outcome was the persistence of post-COVID-19 syndrome after six months follow-up.

Results: Thirteen patients (12.7%) developed the primary outcome and had a more frequent history of post-COVID-19 syndrome 3 months after infection onset (p = .044), increased levels of IL-1α (p = .011) and IP-10 (p = .037) and increased CD57 expression in CD8+ T cells (p = .003). There was a trend towards higher levels of IFN-γ (p = .051), IL-1β (p = .062) and IL-6 (p = .087). The history of post COVID-19 in the previous 3 months, obesity, baseline serum MIP-1α and IP-10, and CD57 expression in CD8+ T cells were independently associated with the persistence of post-COVID-19 syndrome.

Conclusion: Our data suggest an important relationship between a pro-inflammatory state mediated through metabolic pathways related to obesity and increased cellular senescence as a key element in the persistence of post-COVID-19 syndrome at six months of follow-up.

Source: Torres-Ruiz J, Lomelín-Gascón J, Lira Luna J, Vargas-Castro AS, Pérez-Fragoso A, Nuñez-Aguirre M, Alcalá-Carmona B, Absalón-Aguilar A, Balderas-Miranda JT, Maravillas-Montero JL, Mejía-Domínguez NR, Núñez-Álvarez C, Llorente L, Romero-Ramírez S, Sosa-Hernández VA, Cervantes-Díaz R, Juárez-Vega G, Meza-Sánchez D, Rull-Gabayet M, Martínez-Juárez LA, Morales L, López-López LN, Negrete-Trujillo JA, Falcón-Lezama JA, Valdez-Vázquez RR, Gallardo-Rincón H, Tapia-Conyer R, Gómez-Martín D. Novel clinical and immunological features associated with persistent post-acute sequelae of COVID-19 after six months of follow-up: a pilot study. Infect Dis (Lond). 2023 Jan 13:1-12. doi: 10.1080/23744235.2022.2158217. Epub ahead of print. PMID: 36637466. https://www.tandfonline.com/doi/full/10.1080/23744235.2022.2158217 (Full text)