# Nomogram prediction model for pneumonia after valve replacement in patients with heart valve disease

**Authors:** Yunhong Liu, Xujing Wang, Shuhui Wang, Yingjuan Cao

PMC · DOI: 10.3389/fcvm.2026.1670003 · Frontiers in Cardiovascular Medicine · 2026-01-30

## TL;DR

This study creates a prediction model to identify patients at high risk of hospital-acquired pneumonia after heart valve surgery.

## Contribution

A novel six-variable nomogram model is developed to predict pneumonia risk in heart valve disease patients with pulmonary hypertension.

## Key findings

- Eighty-one out of 377 patients developed postoperative hospital-acquired pneumonia (21.49%).
- Six risk factors were identified, including preoperative anemia and bioprosthetic valve usage.
- The model accurately predicted high-risk patients, showing good predictive efficacy.

## Abstract

Patients with heart valve disease (VHD) combined with pulmonary hypertension (PH) have a higher risk for hospital-acquired pneumonia. We aimed to analyze the risk factors and construct a valid nomogram model for predicting hospital-acquired pneumonia among those patients.

Patients with VHD combined with PH who underwent heart valve replacement were collected. The perioperative risk factors for hospital-acquired pneumonia were analyzed by univariable and logistic regression, and then a nomogram prediction model was constructed and validated.

A total of 377 patients were included, and 81 cases developed postoperative hospital-acquired pneumonia, with an incidence of 21.49%. The results of multifactorial analysis showed that preoperative anemia, ASA score >grade III, duration of surgery ≥313 min, duration of endotracheal intubation ≥3 d, duration of indwelling gastric tube ≥1 d, and bioprosthetic valve usage were the risk factors for the occurrence of postoperative hospital-acquired pneumonia (P < 0.05). The model validation results showed that patients judged to be at high risk of hospital-acquired pneumonia are consistent with the actual situation, indicating that the model has good predictive efficacy.

The constructed six-variable nomogram prediction model has satisfying efficacy in predicting hospital-acquired pneumonia after valve replacement in patients with VHD combined with PH. It is significant for early identification and future quality improvement to reduce the risk of hospital-acquired pneumonia.

## Linked entities

- **Diseases:** pulmonary hypertension (MONDO:0005149)

## Full-text entities

- **Diseases:** heart valve disease (MESH:D006349), pneumonia (MESH:D011014), anemia (MESH:D000740), PH (MESH:D006976)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC12901360/full.md

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Source: https://tomesphere.com/paper/PMC12901360