Table 1_Endocrinologist-led glucose management in the emergency ICU: a retrospective befor

A retrospective before-after study of 1138 critically ill patients comparing conventional glucose management to an endocrinologist-led model integrating real-time continuous glucose monitoring. The dataset includes primary outcomes like mean glucose, glycemic variability, and target-range readings, and secondary outcomes such as nosocomial infection rates and length of stay. It was authored by Long Zhang and last updated on April 20, 2026.

Use Cases

• Compare glycemic control metrics between intervention and control groups based on mean glucose and glycemic variability outcomes.
• Analyze the association between glucose management models and clinical complications like nosocomial infection and hyperosmolar hyperglycemic state.
• Evaluate resource utilization differences based on secondary outcomes such as length of stay, ventilation duration, and hospitalization costs.

Strengths

• Includes results for 1138 patients (625 in the ELGM group, 513 in the control group) with statistically significant P-values reported.
• Contains multiple primary and secondary clinical outcomes, such as mean glucose, glycemic variability, infection rates, and length of stay.
• Released under a CC-BY-4.0 license, facilitating open reuse and analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data is from a single-center study, which may reflect institutional bias inherent to the source.

Provenance

Source

figshare

Collection Method

Single-center, retrospective before-after study.

Time Range

Patient admissions in 2023 (control) and 2024 (intervention).

Freshness

Last updated 2026-04-20 04:13:16; freshness should be verified.

Geography

Data likely originates from a single emergency intensive care unit (EICU); specific location is unknown.