What question did this study set out to answer?

To develop a prediction model for prolonged length of stay in patients with chronic acalculous cholecystitis after cholecystectomy.

February 11, 2026Open Access

The prediction model of the prolonged length of stay in chronic acalculous cholecystitis patients after cholecystectomy and nursing recommendations

Key Points

To develop a prediction model for prolonged length of stay in patients with chronic acalculous cholecystitis after cholecystectomy.
Developed a nomogram model using variables such as age, calcium levels, fentanyl, ciprofloxacin, and MLD.
Assessed the model's discrimination capacity for identifying at-risk patients.
The nomogram demonstrated moderate discrimination capacity for predicting prolonged length of stay.
Identified specific clinical factors associated with prolonged stays.

Abstract

The nomogram model, based on age, calcium, fentanyl, ciprofloxacin, and MLD, demonstrated moderate discrimination capacity in predictive PLOS in CAC patients after cholecystectomy. These findings may support the identification of at-risk patients and inform early nursing interventions.

The prediction model of the prolonged length of stay in chronic acalculous cholecystitis patients after cholecystectomy and nursing recommendations

Key Points

Abstract

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