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15-Hydroxyprostaglandin Dehydrogenase Is a Predictor of Stroke-Associated Pneumonia.
Xu, Yunfei; Qiao, Haoduo; Yang, Shun; Zhou, Lin; Zhao, Yao; Xu, Qing; Miao, Shuying; Yuan, Dun; Zhao, Jie; Liu, Ying.
Afiliação
  • Xu Y; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
  • Qiao H; Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
  • Yang S; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha, China.
  • Zhou L; China-Africa Research Center of Infectious Diseases, Central South University, Changsha, China.
  • Zhao Y; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
  • Xu Q; Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
  • Miao S; Sepsis Translational Medicine Key Lab of Hunan Province, Central South University, Changsha, China.
  • Yuan D; China-Africa Research Center of Infectious Diseases, Central South University, Changsha, China.
  • Zhao J; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
  • Liu Y; Department of Pathophysiology, Xiangya School of Medicine, Central South University, Changsha, China.
Front Neurol ; 13: 893624, 2022.
Article em En | MEDLINE | ID: mdl-35720081
ABSTRACT
Background and

Purpose:

Stroke is a serious fatal and disabling disease. Stroke-associated pneumonia (SAP) is the most common complication of stroke, which may further aggravate the stroke. The prevention and early prediction of SAP is a key clinical strategy. 15-hydroxyprostaglandin dehydrogenase (15-PGDH) is involved in pneumonia, while its relationship with SAP has yet to be determined. Therefore, we investigated the predictive value of 15-PGDH for SAP and visualized their relationship.

Methods:

Stroke patients were recruited and divided into SAP group and Non-SAP group. Baseline demographic and clinical data were obtained from the medical record system, blood samples were collected to detect relevant variables and 15-PGDH levels. Patient characteristics were compared with a t-test. Binary logistic regression analysis was performed to determine the predictive value of 15-PGDH for SAP. Restricted cubic splines (RCS) were performed to visualize the relationship between 15-PGDH and SAP risk. Finally, the SAP patient characteristics between the severe group and mild group were compared.

Results:

50 patients were enrolled and divided into SAP group (n = 26) and Non-SAP group (n = 24). 15-PGDH in the SAP group was lower than that in the Non-SAP group (0.258 ± 0.275 vs. 0.784 ± 0.615, p = 0.025). Binary logistic regression analysis revealed that the lower 15-PGDH, the higher the risk of SAP (OR = 0.04, 95%CI, 0.010-0.157, p < 0.001). The RCS model showed the L-shaped relationship between 15-PGDH and SAP.

Conclusions:

In stroke patients, serum 15-PGDH is a valuable biomarker for predicting SAP. There is an L-shaped relationship between the level of 15-PGDH and the risk of SAP.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article