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.