Dataset Information

Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients.

ABSTRACT:

Background

Despite all the progress in the management of acute COVID-19, it is still not clear why some people continue to experience symptoms after recovery. Using data from a self-administered online survey, we assessed the prevalence and predictors of post-acute COVID-19 in an unselected population followed by GPs.

Methods

Patients ≥18 years with a confirmed COVID-19 diagnosis were included. The survey collected information on demographics, risk factors, COVID-19 course and symptomatology. Fatigue and Quality of Life questionnaires were also administered. Descriptive statistics were used to describe patients' characteristics, stratified as acute and post-acute COVID-19. Logistic regression models were used to assess the association between clinical characteristics and post-acute COVID-19.

Results

A total of 1108 surveys were analyzed. Nearly 29% of patients reported post-acute COVID-19. The more persistent symptoms were fatigue, memory and concentration impairment. Adjusted Odds Ratio (OR) showed a significantly higher probability of post-acute COVID-19 for women compared to men (OR 1.9, 95% CI 1.4-2.5), for age >50 years than ≤50 years (OR 1.6, 95% CI 1.2-2.2), for BMI > 25 compared to BMI ≤ 25 (OR 1.6, 95% CI 1.1-2.1) and those with autoimmune diseases, compared to those without (OR 1.8 95% CI 1.1-2.9). In addition, a significant association was found with COVID-19 hospitalization, anxiety and allergies. We found that post-acute COVID-19 patients showed a higher fatigue and a worst quality of life.

Conclusions

These findings suggest the need for tailored personalized strategies to improve the management of patients with post-acute COVID-19.

SUBMITTER: Foresta A

PROVIDER: S-EPMC10768628 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients.

Foresta Andreana A Ojeda-Fernández Luisa L Augurio Claudia C Guanziroli Cecilia C Tettamanti Mauro M Macaluso Giulia G Lauriola Paolo P Nobili Alessandro A Roncaglioni Maria Carla MC Baviera Marta M

Journal of primary care & community health 20240101

<h4>Background</h4>Despite all the progress in the management of acute COVID-19, it is still not clear why some people continue to experience symptoms after recovery. Using data from a self-administered online survey, we assessed the prevalence and predictors of post-acute COVID-19 in an unselected population followed by GPs.<h4>Methods</h4>Patients ≥18 years with a confirmed COVID-19 diagnosis were included. The survey collected information on demographics, risk factors, COVID-19 course and sym ...[more]

PMID: 38166461

Similar Datasets

Project description:BackgroundSince its emergence in 2019, COVID-19 has continued to pose significant threats to both the physical and mental health of the global population, as well as to healthcare systems worldwide (Raman et al., Eur Heart J 43:1157-1172, 2022). Emerging evidence indicates that COVID-19 may lead to post-acute COVID-19 syndrome (PACS) with cardiovascular implications, potentially driven by factors such as ACE2 interaction with viruses, systemic inflammation, and endothelial dysfunction. However, there remains a limited amount of research on the cardiovascular manifestations of PACS, which may delay the development of optimal treatment strategies for affected patients. Therefore, it is crucial to investigate the prevalence of cardiovascular sequelae in COVID-19 patients and to determine whether COVID-19 infection acts as an independent risk factor for these outcomes.MethodsThis meta-analysis adhered to PRISMA guidelines and was registered in PROSPERO (CRD42024524290). A systematic search of PubMed, Embase, and the Cochrane Library was conducted up to March 17, 2024. The primary outcomes included hypertension, palpitations, and chest pain, with pooled effect estimate reported as proportions and odds ratios (ORs) with 95% confidence intervals (CIs). Sensitivity and subgroup analysis were performed to assess the robustness of the results and to identify sources of heterogeneity.ResultsA total of 37 studies, encompassing 2,965,467 patients, were included in the analysis. Pooled results from case-control studies revealed that, compared to the control group, the ORs of chest pain in the COVID-19 group was 4.0 (95% CI: 1.6, 10.0). The ORs for palpitation and hypertension were 3.4 (95% CI: 1.1, 10.2) and 1.7 (95% CI: 1.6, 1.8), respectively. The proportions of PACS patients experiencing chest pain, palpitation, and hypertension as sequelae were 22% (95% CI: 14%, 33%), 18% (95% CI: 13%, 24%), and 19% (95% CI: 12%, 31%), respectively.ConclusionsOur findings indicate that 15% of COVID-19 patients experience cardiovascular sequelae. Furthermore, COVID-19 infection significantly increases the likelihood of developing these sequelae compared to uninfected individuals. Future research should prioritize investigating the underlying pathological mechanisms and developing targeted preventive and management strategies.Trial registrationCRD42024524290.

Project description:BackgroundWith Norwegian national registry data, we assessed the prevalence of post-COVID-19 symptoms at least 3 months after confirmed infection, and whether sociodemographic factors and pre-pandemic health problems were risk factors for these symptoms.MethodsAll persons with a positive SARS-CoV-2 PCR test from February 2020 to February 2021 (exposed) were compared to a group without a positive test (unexposed) matched on age, sex, and country of origin. We used Cox regression to estimate hazard ratios (HR) for 18 outcome symptoms commonly described as post-COVID-19 related, registered by GPs. We compared relative risks (RR) for fatigue, memory disturbance, or shortness of breath among exposed and unexposed using Poisson regression models, assessing sex, age, education, country of origin, and pre-pandemic presence of the same symptom and comorbidity as possible risk factors, with additional analyses to assess hospitalisation for COVID-19 as a risk factor among exposed.ResultsThe exposed group (N = 53 846) had a higher prevalence of most outcome symptoms compared to the unexposed (N = 485 757), with the highest risk for shortness of breath (HR 2.75; 95%CI 2.59-2.93), fatigue (2.08; 2.00-2.16) and memory disturbance (1.41;1.26-1.59). High HRs were also found for disturbance of smell/taste and hair loss, but frequencies were low. Concerning risk factors, sociodemographic factors were at large similarly associated with outcome symptoms in both groups. Registration of the outcome symptom before the pandemic increased the risk for fatigue, memory disturbance and shortness of breath after COVID-19, but these associations were weaker among exposed. Comorbidity was not associated with fatigue and shortness of breath in the COVID-19 group. For memory disturbance, the RR was slightly increased with the higher comorbidity score both among exposed and unexposed.ConclusionCOVID-19 was associated with a range of symptoms lasting more than three months after the infection.

Project description:BackgroundCOVID-19 is a pandemic disease and questions rise about the coronavirus 2 (Sars-CoV-2) effect on nervous system. This involvement could help explaining the pathogenesis of this condition and lead to novel therapeutic approaches.ObjectiveTo assess the occurrence of neurological symptoms in COVID-19 patients during the Italian pandemic outbreak, as reported by physicians.Materials and methodsIn the early days of pandemic emergence we developed an online survey open to all Italian clinicians involved in the diagnosis and management of COVID-19 patients. The survey was structured in three sections, with nine different items concerning the presence of different specific clinical abnormalities. Each item was graded from "absent" to "severe" in a 4-point Likert's scale.Main outcomes and measuresLikert's scale data were analyzed by studying the distribution of responses by using medians and bar charts-relative frequencies. Also, in order to analyze differences in symptoms findings depending on the group of specialty, Likert's scale data were combined into two nominal categories ("absent"/"low" and "moderate"/"high"/") and a contingency table chi-square test was used.Results126 physicians of 9 different medical specialties, from 10 regions of Italy, filled the online survey. The results show that 87.3% of practitioners reported neurological symptoms. In most cases these were mild and non-specific, but they were severe in a minority of patients. The most common symptoms observed were headache, myalgia and taste and smell abnormalities. Whilst there was no difference between neurologists and non-neurologists, we found that experienced clinicians (defined as clinicians that evaluated more than 30 patients) reported neurological symptoms more frequently than non-expert.ConclusionsNeurological symptoms have frequently been ported during the Italian COVID-19 pandemic, and thus should be monitored for all affected patients. Whilst some of the disturbances reported may be non-specific and common to other infectious diseases, smell and taste abnormalities might indicate nervous system as entry door for SARS-CoV-2 virus. This interpretation should promote research trials to avoid nervous system involvement.

Project description:BackgroundPost-acute coronavirus 2019 (COVID-19) syndrome is now recognized as a complex systemic disease that is associated with substantial morbidity.ObjectivesTo estimate the prevalence of persistent symptoms and signs at least 12 weeks after acute COVID-19 at different follow-up periods.Data sourcesSearches were conducted up to October 2021 in Ovid Embase, Ovid Medline, and PubMed.Study eligibility criteria, participants and interventionsArticles in English that reported the prevalence of persistent symptoms among individuals with confirmed severe acute respiratory syndrome coronavirus 2 infection and included at least 50 patients with a follow-up of at least 12 weeks after acute illness.MethodsRandom-effect meta-analysis was performed to produce a pooled prevalence for each symptom at four different follow-up time intervals. Between-study heterogeneity was evaluated using the I2 statistic and was explored via meta-regression, considering several a priori study-level variables. Risk of bias was assessed using the Joanna Briggs Institute tool and the Newcastle-Ottawa Scale for prevalence studies and comparative studies, respectively.ResultsAfter screening 3209 studies, a total of 63 studies were eligible, with a total COVID-19 population of 257 348. The most commonly reported symptoms were fatigue, dyspnea, sleep disorder, and difficulty concentrating (32%, 25%, 24%, and 22%, respectively, at 3- to <6-month follow-up); effort intolerance, fatigue, sleep disorder, and dyspnea (45%, 36%, 29%, and 25%, respectively, at 6- to <9-month follow-up); fatigue (37%) and dyspnea (21%) at 9 to <12 months; and fatigue, dyspnea, sleep disorder, and myalgia (41%, 31%, 30%, and 22%, respectively, at >12-month follow-up). There was substantial between-study heterogeneity for all reported symptom prevalences. Meta-regressions identified statistically significant effect modifiers: world region, male sex, diabetes mellitus, disease severity, and overall study quality score. Five of six studies including a comparator group consisting of COVID-19-negative cases observed significant adjusted associations between COVID-19 and several long-term symptoms.ConclusionsThis systematic review found that a large proportion of patients experience post-acute COVID-19 syndrome 3 to 12 months after recovery from the acute phase of COVID-19. However, available studies of post-acute COVID-19 syndrome are highly heterogeneous. Future studies need to have appropriate comparator groups, standardized symptom definitions and measurements, and longer follow-up.

Dataset Information

Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients.

Background

Methods

Results

Conclusions

Publications

Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets