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DOI 10.3390/v18010135

Медицинская библиотека · Viruses · 2026

Clinical, Demographic, and Virological Predictors of Hospital Admission in Patients with Acute Viral Respiratory Infections: A Retrospective Observational Study.

Akinosoglou Karolina, Theofanis Nikolaos, Asimos Konstantinos, Michailidis Michail, Papageorgiou Despoina, Polyzou Eleni, Gogos Charalambos

СтатьяНаблюдательное исследованиеПеревод в очереди

Аннотация

BACKGROUND

Viral respiratory tract infections (RTIs) frequently lead to emergency department (ED) presentations and hospital admissions, particularly among older adults and individuals with underlying health conditions. Identifying patients at increased risk for hospitalization is essential for optimizing triage and resource allocation. This study aimed to determine independent demographic, clinical, and virological predictors of hospital admission among adults presenting with confirmed viral RTIs.

METHODS

A retrospective cohort study was conducted at a tertiary hospital between September 2022 and May 2024. Adult patients with molecularly confirmed viral RTIs were included. Demographic, clinical, and microbiological data were extracted from electronic medical records. Predictors of admission were assessed using univariate and multivariate logistic regression.

RESULTS

Among 311 patients, 147 (47.3%) required hospitalization. Hospitalized patients were significantly older and more likely to present with fever, cough, tachypnea, dyspnea, chest pain, comorbidities, and lower or mixed respiratory tract infections (all p < 0.001). In multivariate analysis, older age, fever, cough, and lower or mixed RTIs were strong independent predictors of admission. Several viral pathogens, including human rhinovirus, non-SARS-CoV-2 coronaviruses, influenza A, and parainfluenza virus, were associated with reduced odds of hospitalization.

CONCLUSIONS

Age, comorbidity burden, and lower respiratory tract involvement are key determinants of hospitalization in viral RTIs. Integrating clinical and virological data may improve risk stratification and guide ED triage during seasonal and emerging respiratory virus activity.

Для цитирования: Akinosoglou Karolina, Theofanis Nikolaos, Asimos Konstantinos, Michailidis Michail, Papageorgiou Despoina, Polyzou Eleni, Gogos Charalambos. Clinical, Demographic, and Virological Predictors of Hospital Admission in Patients with Acute Viral Respiratory Infections: A Retrospective Observational Study.. Viruses. 2026. DOI: 10.3390/v18010135.

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