# Different Algorithm Models to Predict Postoperative Pneumonia in Elderly Patients

> **NCT05671926** · — · UNKNOWN · sponsor: **Union Hospital, Tongji Medical College, Huazhong University of Science and Technology** · enrollment: 10000 (estimated)

## Conditions studied

- Postoperative Pulmonary Complications

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT05671926
- **Lead sponsor:** Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2023-01
- **Primary completion:** 2023-02
- **Final completion:** 2023-02
- **Target enrollment:** 10000 (ESTIMATED)
- **Last updated:** 2023-01-05


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05671926

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05671926, "Different Algorithm Models to Predict Postoperative Pneumonia in Elderly Patients". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT05671926. Licensed CC0.

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