Clinical Data on Mixed SARS-CoV-2 and Respiratory Pathogen Infections in Central China

A 2026 study of 152 patients with acute COVID-19 in central China, where 54.6% had co-existing respiratory pathogen infections. The data includes clinical characteristics, hospitalization days, severity classification, outcomes, and laboratory results like white blood cell count and D-dimer. It was authored by Yiman Geng and shared on figshare under a CC-BY-4.0 license.

Use Cases

• Identify risk factors for mixed respiratory infections based on clinical data like hospital stay length and ICU admission.
• Predict treatment failure based on severity classification, mixed infection status, and symptoms like fever.
• Analyze the association between laboratory markers (white blood cell count, procalcitonin, D-dimer) and co-infection outcomes.

Strengths

• Includes data from 152 patients, providing a specific cohort size.
• Reports that 54.6% (83/152) of patients had co-existing respiratory pathogen infections.
• Analyzes independent risk factors such as longer hospital stays and ICU admission.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying table is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the central China study location.

Provenance

Source

Yiman Geng via figshare.

Collection Method

Clinical data collected and analyzed using nested PCR and metagenomic next-generation sequencing.

Freshness

Last updated 2026-03-18 06:57:49; freshness should be verified.

Geography

Central China