Early biomarkers in hospitalized patients as predictors of post-acute sequelae of SARS-CoV-2 infection: a one-year cohort study.

Publication date: Mar 24, 2025

Post-acute sequelae of SARS-CoV-2 infection (PASC) represent a significant challenge in patient care, with symptoms persisting beyond three month’s post-recovery. This study aimed to evaluate the incidence of PASC at one year post-COVID-19 and identify predictive biomarkers and comorbidities for effective risk stratification. A cohort of 120 adult patients, including 50 intensive care and 70 non-intensive care patients, was followed up at two weeks, six weeks, and one-year post-discharge using structured questionnaires. The study integrated comorbidities and laboratory biomarkers to forecast the risk for PASC. The median age of participants was 56 years, with 40% having moderate to severe comorbidities. A year post-recovery, 32. 8% exhibited post COVID-19 conditions. The most common symptoms were constitutional (16%), respiratory (8. 4%), and neuropsychiatric (2. 5%). Bayesian network analysis indicated significant correlations between constitutional symptoms, rehospitalisation, and biomarkers including C-reactive protein, lactate-dehydrogenase, ferritin, and albumin. This study highlights the prolonged impact of PASC, one-year post infection. It highlights the role of specific biomarkers such as C-reactive protein, lactate-dehydrogenase, ferritin, and albumin in tailoring individual patient care by advancing understanding in post-COVID-19 symptoms prediction. Our findings support the need for further research to refine these insights, which are pivotal for the ongoing care of patients in the aftermath of COVID-19.

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Concepts Keywords
Biomarkers Adult
Covid Aged
Month Bayes Theorem
Rehospitalisation Bayesian network
Tailoring Biomarkers
Biomarkers
C-Reactive Protein
C-Reactive Protein
Cohort Studies
Comorbidity
COVID-19
Female
Ferritins
Ferritins
Hospitalization
Humans
Male
Middle Aged
Post-Acute COVID-19 Syndrome
Post-acute sequelae
SARS-CoV-2
SARS-CoV-2

Semantics

Type Source Name
disease MESH post-acute sequelae of SARS-CoV-2 infection
disease MESH COVID-19
disease MESH infection
disease IDO role
disease MESH Infectious Diseases
pathway REACTOME Reproduction
disease MESH sequelae
drug DRUGBANK Isoxaflutole
disease IDO acute infection
drug DRUGBANK Coenzyme M
disease IDO symptom
disease MESH autoimmunity
disease MESH dysbiosis
disease IDO facility
disease IDO disposition
drug DRUGBANK Medical air
disease IDO history
disease MESH morbidities
disease MESH Comorbidity
drug DRUGBANK Aspartame
disease MESH reinfection
disease MESH sore throat
disease MESH weight loss
disease MESH dyspnea
disease MESH anxiety
disease MESH depression
disease MESH smell loss
disease MESH arthralgia
disease MESH chest pain
disease IDO algorithm
disease IDO process
disease MESH diabetes mellitus
disease MESH hypertension

Original Article

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