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An AI Machine Learning Model for Predicting Postoperative Clinical Outcomes and Guiding Personalized Nutritional Strategies

An AI Machine Learning Model for Predicting Postoperative Clinical Outcomes and Guiding Personalized Nutritional Strategies

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500110693
Enrollment
Unknown
Registered
2025-10-17
Start date
2025-10-31
Completion date
Unknown
Last updated
2025-10-20

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

Conditions

Surgical procedures

Interventions

Case series:NA

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged between 18 and 90 years who have undergone surgical treatment. 2.A vailability of complete and retrievable clinical data, including demographic information, admission history, surgical details, laboratory test results, and discharge summaries.

Exclusion criteria

Exclusion criteria: 1. Poorly controlled metabolic diseases. 2. Surgical procedures that did not accomplish their predefined therapeutic goals. 3. Female patients who were pregnant or breastfeeding. 4. Coexisting severe impairment of major organ function. 5. Significant gaps in clinical documentation or unavailability of key data that compromised outcome assessment.

Design outcomes

Primary

MeasureTime frame
albumin;total protein;prealbumin;transferrin;retinol conjugated protein;CRP;PCT;height;weight;

Secondary

MeasureTime frame
Blood routine test: WBC; NEUT; LYM; RBC; PLT; Hb; RDW;Liver function: IBIL; DBIL; TBIL; TBA; ALT; AST; ALP; LDH; GGT; mAST ;Renal function: Cr; Urea; UA; eGFR;Coagulation function: PTA; D-Dimer; PT; PT-control; INR; FDP; FIB; APTT; TT;

Countries

China

Contacts

Public ContactZheng Xuan

Shanghai Changhai Hospital

15921811369@163.com+86 159 2181 1369

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026