DOAJ Open Access 2025

Development and validation of the STeP score for predicting tracheostomy in patients with sepsis using a nationwide ICU database: a retrospective observational study

Kazuya Kikutani Mitsuaki Nishikimi Michihito Kyo Satoshi Yamaga Tatsutoshi Shimatani +3 lainnya

Abstrak

Abstract Background Among patients with sepsis admitted to the intensive care unit (ICU), a substantial proportion require mechanical ventilation, and a subset eventually undergo tracheostomy. Early identification of patients at high risk for tracheostomy may facilitate timely decision-making and improve clinical communication. Methods We conducted a nationwide, retrospective study using the Japanese Intensive care PAtient Database (JIPAD). Adult patients with sepsis (Sequential Organ Failure Assessment score of ≥ 2, excluding viral pneumonia) who required mechanical ventilation between 2018 and 2022 were included. The primary outcome was tracheostomy within 14 days of ICU admission. Seventy-five variables available within 24 h of ICU admission were collected. Using least absolute shrinkage and selection operator (LASSO) regression with tenfold cross-validation, we selected predictors to build a multivariable logistic regression model (Sepsis Tracheostomy early Prediction [STeP] model). A simplified scoring system (STeP score) was also derived. Predictive performance was assessed using the area under the curve (AUC) of the receiver operating characteristic (ROC) in a temporally independent validation cohort. Results Among 7357 eligible patients (training: 5374; validation: 1983), 1013 (13.8%) underwent tracheostomy. The STeP model, based on 8 LASSO-selected variables, demonstrated good discrimination (AUC: 0.76 in training, 0.74 in validation). The simplified STeP score (range, 0–17), derived from the same predictors, achieved an AUC of 0.73 in the validation cohort. Patients were stratified into low (≤ 2 points), moderate (3–6 points), and high (≥ 7 points) risk groups for tracheostomy, with corresponding tracheostomy rates of 4.0%, 13.6%, and 27.1%, respectively. Conclusions We developed and validated a robust prediction model and simplified risk score (STeP score) for tracheostomy within 14 days in ICU patients with sepsis. Early risk stratification using variables available within 24 h may support timely tracheostomy planning. A web-based calculator is publicly available to facilitate bedside implementation.

Penulis (8)

K

Kazuya Kikutani

M

Mitsuaki Nishikimi

M

Michihito Kyo

S

Satoshi Yamaga

T

Tatsutoshi Shimatani

K

Kohei Ota

S

Shinichiro Ohshimo

N

Nobuaki Shime

Format Sitasi

Kikutani, K., Nishikimi, M., Kyo, M., Yamaga, S., Shimatani, T., Ota, K. et al. (2025). Development and validation of the STeP score for predicting tracheostomy in patients with sepsis using a nationwide ICU database: a retrospective observational study. https://doi.org/10.1186/s40560-025-00833-8

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Informasi Jurnal
Tahun Terbit
2025
Sumber Database
DOAJ
DOI
10.1186/s40560-025-00833-8
Akses
Open Access ✓