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Predicting Complications of Hepatolithiasis After Hepatectomy

Machine Learning Algorithms Based on Clinical Data to Predict Postoperative Complications of Patients With Hepatolithiasis Undergoing Hepatectomy

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05556434
Enrollment
500
Registered
2022-09-27
Start date
2011-07-01
Completion date
2024-07-01
Last updated
2023-09-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Complication, Liver Diseases

Keywords

liver resection, complication, risk factor, machine learning, hepatolithiasis

Brief summary

Postoperative complications seriously affect the recovery of patients undergoing hepatectomy. Identifying risk factors and develop predictive models of complications for patients with hepatolithiasis undergoing hepatectomy is important for clinical practice.

Detailed description

Along with the change of lifestyle and dietary habits, many people are diagnosed with hepatolithiasis that is especially prevalent in Asia. Liver resection remains the favorable curative therapy for hepatolithiasis with a relatively low recurrence rate. Although there have been great improvements in surgical techniques and perioperative management, postoperative complications remain commonplace and seriously threat the recovery of patients undergoing hepatectomy. Therefore, it is important to identify risk factors of complications to improve the overall prognosis of patients. We want to collect the clinical information of patients with hepatolithiasis undergoing hepatectomy, including demographic data , laboratory index, histological features and postoperative complications. Patients are followed up at a interval of 3 month after treatment, and the survival data and recurrence rate are recorded. Then the relationship between clinical data and short-term outcomes after surgery are explored. Then models based on clinical features are developed to predict short-term outcomes after hepatectomy.

Interventions

All patients undergoing hepatectomy receive imaging evaluation and laboratory test before and after surgery to define clinical parameters. diseases

Sponsors

Eastern Hepatobiliary Surgery Hospital
CollaboratorOTHER
The First Affiliated Hospital of Zhejiang Chinese Medical University
CollaboratorOTHER
Qilu Hospital of Shandong University
CollaboratorOTHER
First Affiliated Hospital of Wenzhou Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* pathologically diagnosed hepatolithiasis * without malignancies * receiving liver resection * Eastern Cooperative Oncology Group performance status (ECOG-PS) 0-2 * Child-Pugh score of ≤7 * complete clinical and follow-up information * age between 18-80 years old

Exclusion criteria

* with malignancies * receiving other treatments * Eastern Cooperative Oncology Group performance status (ECOG-PS) \>2 * Child-Pugh score of \>7 * incomplete clinical data * lost to follow up * age \<18 years old or \>80 years old

Design outcomes

Primary

MeasureTime frameDescription
Complications3 monthsPostoperative complications and mortality are recorded according to the Clavien-Dindo classification system

Secondary

MeasureTime frameDescription
Recurrence of hepatolithiasis1 yearPatients were followed-up at an interval of 3 months and recurrence of hepatolithiasis is evaluated by radiological methods.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026