Nomogram analysis of factors associated with prognosis in patients with sepsis-associated acute kidney injury: a case-control study based on LASSO regression - Takeaways - MDSpire

Nomogram analysis of factors associated with prognosis in patients with sepsis-associated acute kidney injury: a case-control study based on LASSO regression

  • By

  • Kabinuer Keyimu

  • Palida Abulizi

  • Julaiti Rouzhahong

  • Chen Wei

  • June 5, 2026

  • 0 min

Share

  • 1

    Sepsis-associated acute kidney injury (SA-AKI) significantly increases mortality and long-term chronic kidney disease risk.

  • 2

    A nomogram model was developed to predict prognosis in SA-AKI patients using age, SOFA score, creatinine, and serum potassium.

  • 3

    LASSO regression identified four independent predictors for SA-AKI prognosis, all significantly associated with unfavorable outcomes.

  • 4

    The nomogram demonstrated good discrimination with an AUC of 0.92 in the training set and 0.85 in the validation set.

  • 5

    This nomogram may serve as a valuable tool for early identification of high-risk SA-AKI patients and individualized treatment strategies.

Original Source(s)

Nomogram analysis of factors associated with prognosis in patients with sepsis-associated acute kidney injury: a case-control study based on LASSO regression

  • by Kabinuer Keyimu, Palida Abulizi, Julaiti Rouzhahong, Chen Wei

  • June 5, 2026

Related Content

Hydrocortisone May Lower Severe CAP Mortality

Network meta-analysis suggests hydrocortisone may offer mortality and ventilation benefits, although evidence certainty remained low.

The Phoenix Criteria and Other Severity Scores in Identifying Pediatric Sepsis

Evaluation of ambulance blood cultures in patients with suspected sepsis. A rural prospective cohort study