SIICI Nomogram: Sepsis Prediction After Ureteroscopic Lithotripsy

A single-center retrospective study of 803 patients who underwent ureteroscopic lithotripsy (URSL). The dataset was used to develop and validate a nomogram incorporating the novel Systemic Immune-Inflammatory Complex Index (SIICI) for predicting postoperative sepsis. The model achieved an AUC of 0.863 and was published by Hongmin Zhou on figshare in March 2026.

Use Cases

• Developing sepsis risk prediction models based on the novel SIICI index and other inflammatory indices (SII, SIRI, PIV).
• Validating clinical nomograms using metrics like AUC, NRI, IDI, and decision curve analysis.
• Comparing the predictive performance of different immune-inflammatory indices for surgical outcomes.
• Building tools for early risk stratification in patients with negative preoperative urine cultures.

Strengths

• Model performance is quantified with specific metrics: AUC of 0.863, NRI of 0.133, and IDI of 0.058.
• Dataset is based on a specific cohort of 803 patients from a single-center study.
• Includes validation results for a subgroup with negative preoperative urine cultures (AUC = 0.850).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect single-center bias inherent to the study design.

Provenance

Source

figshare

Collection Method

Single-center retrospective study.

Time Range

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Freshness

Last updated 2026-03-18 07:40:48; freshness should be verified.

Geography

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