Serum Calcium Dynamics Predicting Hydrocephalus After Subarachnoid Hemorrhage

A clinical study analyzed 302 patients with spontaneous subarachnoid hemorrhage to predict delayed hydrocephalus. It developed a nomogram using serial serum calcium measurements and admission variables, validated across two hospitals. The model demonstrated strong predictive accuracy with an AUC of 0.898 in external validation.

Use Cases

• Predict delayed hydrocephalus risk using serial serum calcium levels at admission, 72 hours, and 7 days post-ictus.
• Validate the performance of a clinical nomogram incorporating admission serum calcium, Hunt-Hess grade, and hypertension status.
• Analyze the association between hypocalcemia at 72 hours (cutoff ≤7.65 mg/dL) and the development of delayed hydrocephalus.
• Assess the predictive accuracy of serum calcium dynamics against conventional severity scales using ROC analysis.

Strengths

• Study includes 302 patient records with a defined outcome prevalence of 24.2%.
• Model performance is quantified with specific AUC metrics (0.854 for 72-hour calcium, >0.93 internal validation, 0.898 external validation).
• Data includes serial measurements at three time points and multiple clinical variables for modeling.

Limitations

• The dataset is small in scope, derived from a single study of 302 patients.
• Findings and the proposed calcium cutoff may not generalize due to potential laboratory assay variability across institutions.
• Data is presented in a DOCX document, limiting direct computational analysis and requiring manual extraction.

Provenance

Source

Figshare, authored by Di Wu.

Collection Method

Observational cohort study analyzing serial serum calcium measurements in SAH patients monitored for 90 days.

Time Range

Patient monitoring spanned 90 days post-ictus.

Freshness

Last updated March 24, 2026.

Geography

Study cohorts were from two hospitals; specific locations are unknown.