Post-COVID-19 Syndrome Case Series: Serum and Urine Osmolality Measurements

A 2026 clinical case series by Helena Huhmar investigates fluid homeostasis in 10 patients with post-COVID-19 syndrome. The dataset includes patient-reported symptoms, health status questionnaires, and laboratory measurements of serum and urine osmolality after overnight fasting. Findings suggest disrupted fluid homeostasis as a potential clinical feature and biomarker candidate for the syndrome.

Use Cases

• Analyzing the correlation between abnormal osmolality measurements and reported patient health status based on questionnaire data.
• Investigating the prevalence of polydipsia and polyuria symptoms among post-COVID-19 syndrome patients.
• Evaluating the combination of high serum and low urine osmolality as a potential diagnostic biomarker for the syndrome.
• Exploring associations between post-COVID-19 syndrome and patient history factors like connective tissue disorders or trauma.

Strengths

• Includes specific laboratory measurements: serum osmolality (mean 298 ± 4 mOsm/kg) and urine osmolality (mean 707 ± 149 mOsm/kg) for 10 patients.
• Contains detailed patient background data: anamnestic work-up, clinical assessment, and symptom questionnaires.
• Released under a permissive CC-BY-4.0 license for reuse and analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a small, uncontrolled case series of 10 patients, limiting generalizability.

Provenance

Source

figshare

Collection Method

Clinical case series of 10 consecutive patients with post-COVID-19 syndrome, involving questionnaires, clinical assessment, and laboratory analysis.

Time Range

Data collection timeframe not specified; dataset last updated in 2026.

Freshness

Last updated 2026-04 28 04:24:38; freshness should be verified.

Geography

Geographic coverage of patient cohort is not specified.