[Establishment of risk prediction model for pneumonia infection in elderly severe patients and analysis of prevention effect of 1M3S nursing plan under early warning mode].

There are many risk factors affecting the development of severe pneumonia in elderly severe patients. The risk prediction model based on duration of mechanical ventilation > 7 days, hospital stay > 15 days, GCS score≤ 8, albumin ≤ 30 g/L, poor oral hygiene and history of combined antibacterial use has high predictive efficacy. The intervention of 1M3S nursing scheme in the early warning mode can effectively reduce the risk of severe pneumonia in elderly severe patients, and significantly improve the pathophysiological status.

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Publication Details

Journal
PubMed
Published
2024-12-01
DOI
https://doi.org/10.3760/cma.j.cn121430-20231211-01075
Primary Topic
Traditional Chinese Medicine Studies
Type
article
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article

[Establishment of risk prediction model for pneumonia infection in elderly severe patients and analysis of prevention effect of 1M3S nursing plan under early warning mode].

Rifai Chai, Xiaowei Tang, Xin Li, Ling Qi
PubMed
Traditional Chinese Medicine Studies
article

[Establishment of risk prediction model for pneumonia infection in elderly severe patients and analysis of prevention effect of 1M3S nursing plan under early warning mode].

Rifai Chai, Xiaowei Tang, Xin Li, Ling Qi
article en

Abstract

There are many risk factors affecting the development of severe pneumonia in elderly severe patients. The risk prediction model based on duration of mechanical ventilation > 7 days, hospital stay > 15 days, GCS score≤ 8, albumin ≤ 30 g/L, poor oral hygiene and history of combined antibacterial use has high predictive efficacy. The intervention of 1M3S nursing scheme in the early warning mode can effectively reduce the risk of severe pneumonia in elderly severe patients, and significantly improve the pathophysiological status.

PubMedVol. 36(12)
Hebei Medical University (CN), Xingtai People's Hospital (CN)
Traditional Chinese Medicine Studies
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