Diagnostic Utility of Pentraxin 3 Expression in Septic Cardiomyopathy: Findings from a Prospective Observational Study

Na Cui,1,2,* Xiao-Wei Lv,2,* Teng-Hao Shao,2 Zhan-Biao Yu,2 Zhi Chen,2 Tao Sun,2 Tie-Min Li,2 Jin-Wen Zhang,2 Zhen-Jie Hu1 1Department of Critical Care Medicine, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, 050010, People’s Republic of China; 2Department of Critical Care Medicine, Affiliated Hospital of Hebei University, Baoding, 071000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhen-Jie Hu, Department of Critical Care Medicine, The Fourth Affiliated Hospital of Hebei Medical University, No. 12, Jiankang Road, Shijiazhuang, 050010, People’s Republic of China, Tel +86 13933856908, Email [email protected]: The aim of this study is to investigate the expression levels of Pentraxin 3, PTX3 in patients with septic cardiomyopathy, SCM and evaluate its diagnostic potential for predicting SCM.Methods: A prospective observational study was conducted involving 122 patients diagnosed with septic shock between February 2023 and August 2024. Demographic and clinical data, along with plasma PTX3 concentrations were recorded. Participants were categorized into two groups based on the presence of SCM. PTX3 concentrations and their dynamic changes were compared between the groups. The correlations between PTX3 concentrations and other clinical indicators were analyzed, and the influencing factors associated with SCM development were assessed. The predictive performance of PTX3 for SCM was evaluated using receiver operating characteristic, ROC curves.Results: SCM was identified in 24.6% of the participants. Plasma PTX3 concentrations at admission and on day 3 were significantly higher in the SCM group compared to the non-SCM group, p < 0.001. However, no significant differences were observed on day 7, p > 0.05. PTX3 concentrations decreased over time in both groups. Plasma PTX3 concentrations were correlated with procalcitonin, lactate, myoglobin, troponin I, the elevated levels of troponin I on day 2 compared to admission, Sequential Organ Failure Assessment score, Acute Physiology and Chronic Health Evaluation II score, and intensive care unit length of stay. Elevated plasma PTX3 concentrations were identified as an independent risk factor for SCM development. The area under the ROC curve for PTX3 in predicting SCM was 0.784, p < 0.001, with a cutoff value of 20.82 ng/mL, sensitivity of 0.767, and specificity of 0.707.Conclusion: Plasma PTX3 concentrations are markedly elevated in patients with SCM, indicating that PTX3 may serve as a reliable biomarker for the early diagnosis of SCM.Keywords: diagnosis, PTX3, sepsis, septic cardiomyopathy, septic shock

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Aging and Gerontology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic Utility of Pentraxin 3 Expression in Septic Cardiomyopathy: Findings from a Prospective Observational Study

SHILAP Revista de lepidopterología
Aging and Gerontology Research
article

Diagnostic Utility of Pentraxin 3 Expression in Septic Cardiomyopathy: Findings from a Prospective Observational Study

article en

Abstract

Na Cui,1,2,* Xiao-Wei Lv,2,* Teng-Hao Shao,2 Zhan-Biao Yu,2 Zhi Chen,2 Tao Sun,2 Tie-Min Li,2 Jin-Wen Zhang,2 Zhen-Jie Hu1 1Department of Critical Care Medicine, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, 050010, People’s Republic of China; 2Department of Critical Care Medicine, Affiliated Hospital of Hebei University, Baoding, 071000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhen-Jie Hu, Department of Critical Care Medicine, The Fourth Affiliated Hospital of Hebei Medical University, No. 12, Jiankang Road, Shijiazhuang, 050010, People’s Republic of China, Tel +86 13933856908, Email [email protected]: The aim of this study is to investigate the expression levels of Pentraxin 3, PTX3 in patients with septic cardiomyopathy, SCM and evaluate its diagnostic potential for predicting SCM.Methods: A prospective observational study was conducted involving 122 patients diagnosed with septic shock between February 2023 and August 2024. Demographic and clinical data, along with plasma PTX3 concentrations were recorded. Participants were categorized into two groups based on the presence of SCM. PTX3 concentrations and their dynamic changes were compared between the groups. The correlations between PTX3 concentrations and other clinical indicators were analyzed, and the influencing factors associated with SCM development were assessed. The predictive performance of PTX3 for SCM was evaluated using receiver operating characteristic, ROC curves.Results: SCM was identified in 24.6% of the participants. Plasma PTX3 concentrations at admission and on day 3 were significantly higher in the SCM group compared to the non-SCM group, p < 0.001. However, no significant differences were observed on day 7, p > 0.05. PTX3 concentrations decreased over time in both groups. Plasma PTX3 concentrations were correlated with procalcitonin, lactate, myoglobin, troponin I, the elevated levels of troponin I on day 2 compared to admission, Sequential Organ Failure Assessment score, Acute Physiology and Chronic Health Evaluation II score, and intensive care unit length of stay. Elevated plasma PTX3 concentrations were identified as an independent risk factor for SCM development. The area under the ROC curve for PTX3 in predicting SCM was 0.784, p < 0.001, with a cutoff value of 20.82 ng/mL, sensitivity of 0.767, and specificity of 0.707.Conclusion: Plasma PTX3 concentrations are markedly elevated in patients with SCM, indicating that PTX3 may serve as a reliable biomarker for the early diagnosis of SCM.Keywords: diagnosis, PTX3, sepsis, septic cardiomyopathy, septic shock

SHILAP Revista de lepidopterología
Openalex Percentile: Top 53%
Aging and Gerontology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.