{"title":"Diagnostic utility of combined coagulation and inflammatory biomarkers in sepsis stratification: A retrospective study","authors":"Zhenzhen Ding , Qian Li , Chunyan Ma , Hang Li","doi":"10.1016/j.cca.2025.120558","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>The aim of this study is to evaluate the diagnostic utility of coagulation parameters—prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-Dimer (D-D), prothrombin time activity (PTA), and international normalized ratio (INR) —in combination with inflammatory markers, including procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6), systemic inflammation index (SII), and lymphocyte-C-reactive protein ratio (LCR), for stratifying sepsis severity.</div></div><div><h3>Methods</h3><div>This retrospective study included 123 patients diagnosed with sepsis and confirmed by positive blood cultures between October 2020 and October 2024. A control group comprising 50 healthy individuals undergoing routine physical examinations was also included. Clinical data were collected and analyzed using SPSS 25.0. The sensitivity, specificity, receiver operating characteristic (ROC) curves, and area under the curve (AUC) values of each indicator were calculated to evaluate their diagnostic value.</div></div><div><h3>Results</h3><div>No statistically significant differences were observed in baseline demographic or clinical characteristics between the sepsis and control groups (<em>p</em> > 0.05). Significant differences were identified between the groups in PT, APTT, D-D, PTA, INR, and CRP values (<em>p</em> < 0.05).The correlation coefficients between different grades of sepsis (shock and non-shock) and PT, APTT,DD,INR,PTA,LCR, CRP were r = 0.328,r = 0.254,r = 0.272,r = 0.347,r = -0.331,r = -0.179,r = 0.200, respectively. P < 0.05 is statistically significant,It is suggested that the classification is positively correlated with PT,APTT,DD,INR and CRP. PTA and LCR are negatively correlated, but the correlation in hierarchical diagnosis is low. Compared with sepsis group, the area under the curve (AUC) of coagulation index and inflammatory index in septic shock group was calculated. The area under the curve of PT in coagulation index was 0.695, the sensitivity was 53.2 %, and the specificity was 82.9 %. The area under the APTT curve was 0.651, the sensitivity was 66.0 %, and the specificity was 64.5 %. The area under the DD curve was 0.662, the sensitivity was 76.6 %, and the specificity was 57.9 %. Among the inflammatory indicators, the area under the CRP curve was 0.619, with a sensitivity of 63.8 % and a specificity of 63.2 %. ROC analysis revealed that the AUC of LCR in the septic shock group was 0.604, with a sensitivity of 66.0 % and specificity of 57.9 %. Combined detection of PT, LCR, and DD yielded an AUC of 0.8705, with a sensitivity of 74.5 % and specificity of 68.8 %.</div></div><div><h3>Conclusion</h3><div>Combined detection of coagulation markers such as PT with inflammatory markers including LCR, and DD may enhance the diagnostic accuracy for stratifying sepsis severity and identifying progression to septic shock.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"578 ","pages":"Article 120558"},"PeriodicalIF":2.9000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898125004371","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
The aim of this study is to evaluate the diagnostic utility of coagulation parameters—prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen (FIB), D-Dimer (D-D), prothrombin time activity (PTA), and international normalized ratio (INR) —in combination with inflammatory markers, including procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6), systemic inflammation index (SII), and lymphocyte-C-reactive protein ratio (LCR), for stratifying sepsis severity.
Methods
This retrospective study included 123 patients diagnosed with sepsis and confirmed by positive blood cultures between October 2020 and October 2024. A control group comprising 50 healthy individuals undergoing routine physical examinations was also included. Clinical data were collected and analyzed using SPSS 25.0. The sensitivity, specificity, receiver operating characteristic (ROC) curves, and area under the curve (AUC) values of each indicator were calculated to evaluate their diagnostic value.
Results
No statistically significant differences were observed in baseline demographic or clinical characteristics between the sepsis and control groups (p > 0.05). Significant differences were identified between the groups in PT, APTT, D-D, PTA, INR, and CRP values (p < 0.05).The correlation coefficients between different grades of sepsis (shock and non-shock) and PT, APTT,DD,INR,PTA,LCR, CRP were r = 0.328,r = 0.254,r = 0.272,r = 0.347,r = -0.331,r = -0.179,r = 0.200, respectively. P < 0.05 is statistically significant,It is suggested that the classification is positively correlated with PT,APTT,DD,INR and CRP. PTA and LCR are negatively correlated, but the correlation in hierarchical diagnosis is low. Compared with sepsis group, the area under the curve (AUC) of coagulation index and inflammatory index in septic shock group was calculated. The area under the curve of PT in coagulation index was 0.695, the sensitivity was 53.2 %, and the specificity was 82.9 %. The area under the APTT curve was 0.651, the sensitivity was 66.0 %, and the specificity was 64.5 %. The area under the DD curve was 0.662, the sensitivity was 76.6 %, and the specificity was 57.9 %. Among the inflammatory indicators, the area under the CRP curve was 0.619, with a sensitivity of 63.8 % and a specificity of 63.2 %. ROC analysis revealed that the AUC of LCR in the septic shock group was 0.604, with a sensitivity of 66.0 % and specificity of 57.9 %. Combined detection of PT, LCR, and DD yielded an AUC of 0.8705, with a sensitivity of 74.5 % and specificity of 68.8 %.
Conclusion
Combined detection of coagulation markers such as PT with inflammatory markers including LCR, and DD may enhance the diagnostic accuracy for stratifying sepsis severity and identifying progression to septic shock.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.