Longitudinal Blood Cell Trajectories for 3,691 COVID-19 Inpatients

3,691 hospitalized adults with COVID-19 from six tertiary hospitals in China were monitored for acute kidney injury. The dataset contains longitudinal trajectories of seven peripheral blood count parameters, including lymphocyte, neutrophil, and platelet counts and four derived ratios. It was published by figshare admin karger in 2026 to support individualized, real-time AKI risk evaluation.

Use Cases

• Train models for dynamic AKI risk prediction based on longitudinal blood cell trajectories.
• Analyze associations between neutrophil-to-lymphocyte ratio (NLR) and acute kidney injury risk.
• Investigate competing risks for renal recovery using joint modeling techniques.
• Benchmark time-series models for clinical biomarker analysis in a multicenter cohort.

Strengths

• Data from a multicenter prospective cohort of 3,691 patients provides a substantial sample size.
• Longitudinal tracking of seven blood count parameters enables dynamic risk assessment.
• Results are detailed with hazard ratios and confidence intervals for biomarker associations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• The data is presented in a 2.4 MB PDF, which may require extraction for computational analysis.

Provenance

Source

figshare admin karger

Collection Method

Prospective cohort study from six tertiary hospitals in China.

Freshness

Last updated 2026-04-16 07:55:10; freshness should be verified.

Geography

China