Background: We sought to investigate the efficacy of serum D-dimer, fibrinogen, and CA19-9 for postoperative monitoring and prediction of survival in patients with resectable pancreatic carcinoma (PC).
Methods: One hundred and nineteen patients with resectable PC were enrolled. Serum D-dimer, fibrinogen, and CA19-9 values were analyzed before surgery and at the stages of relapse-free and progression disease.
Results: D-dimer, fibrinogen, and CA19-9 were significantly higher at the active stage of PC than those at the relapse-free stage [1059.2 (1690.1) ng/ml vs 485.18 (289.84) ng/ml, (3.71 ± 0.83) g/l vs (2.75 ± 0.52) g/l, 207.2 (681.8) U/ml vs 24.5 (30) U/ml, respectively, p < 0.01]. Patients with elevated preoperative D-dimer had significantly shorter overall survival (18.9 ± 1.9 months vs 29.2 ± 2.6 months, p < 0.01) and progression-free survival (10.6 ± 1.2 months vs 20.4 ± 2.4 months, p < 0.01) than did those with low D-dimer. The correlation between CA19-9 values and survival depended on the threshold value of CA19-9: when the threshold value was 37 U/ml, there was no correlation between CA19-9 and survival; when the threshold value was 253.8 U/ml (median CA19-9 for the enrolled patients), patients with elevated preoperative CA19-9 had significantly shorter overall survival (19.9 ± 2. 1 months vs 29.0 ± 2. 7 months) and progression-free survival (11.5 ± 1.5 months vs 21.0 ± 2. 6 months) than did the patients with low CA19-9 (p < 0.01); when the threshold value was 1000 U/ml, the overall survival was 15.5 ± 2.3 months vs 28.0 ± 2.0 months and the progression-free survival 8.9 ± 1.9 months vs 19.1 ± 1.9 months (p < 0.01). There was no correlation between fibrinogen and overall survival (25.8 ± 2.1 months vs 21.2 ± 2.9 months; p = 0.096) and progression-free survival (17.8 ± 2.1 months vs 12.7 ± 1.7 months; p = 0.168).
Conclusions: For postoperative monitoring of patients with resectable PC, D-dimer, fibrinogen, and CA19-9 may be used as markers for monitoring disease relapse, but only preoperative D-dimer could predict survival.
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http://dx.doi.org/10.1186/s12957-017-1104-9 | DOI Listing |
Biochemistry
January 2025
Palladin Institute of Biochemistry, National Academy of Sciences of Ukraine, 9, Leontovycha 9, Kyiv 01054, Ukraine.
The self-assembly of fibrin is a vital process in blood clotting, primarily facilitated by the interactions between knobs "A" and "B" in the central E region of one molecule and the corresponding holes "a" and "b" in the peripheral D regions of two other fibrin molecules. However, the precise function of the interactions between knob "B" and hole "b" during fibrin polymerization remains a subject of ongoing debate. The present study focuses on investigating intermolecular interactions between knob "B" and hole "b".
View Article and Find Full Text PDFPak J Med Sci
January 2025
Shuo Luo High-risk Obstetrics, Baoding Maternal and Child Health Hospital, Baoding 071000, Hebei, China.
Objective: To investigate the screening efficacy of six thrombotic markers for hypercoagulable state (HCS) in pregnant women, including thrombin-antithrombin III complex (TAT), plasmin-alpha-2 plasmin inhibitor complex (PIC), thrombomodulin (TM), tissue-type plasminogen activator inhibitor complex(t-PAI-C), D-dimer(D-D), and fibrinogen degradation products (FDP).
Methods: This was a retrospective study. Eighty-five high-risk pregnant women who underwent antenatal examination at Baoding maternal and Child Health Hospital from December 2022 to September 2023 were included as the observation group, while 85 healthy pregnant women without complications or comorbidities who underwent routine antenatal examinations at our hospital were randomly enrolled as the control group.
Rev Cardiovasc Med
January 2025
Thoracic Clinical College, Tianjin Medical University, 300070 Tianjin, China.
Background: Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limited.
Methods: In this observational study, 1111 PMI patients (≤55 years) at Tianjin Chest Hospital from 2017 to 2022 were selected and divided according to their SYNTAX scores into a low-risk group (≤22) and medium-high-risk group (>22). These groups were further randomly assigned to a training or test set in a ratio of 7:3.
Circulation
January 2025
Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD (Z.Y., E.T., Z.A.D., K.K.J., N.O., T.R., E.B., M.J.B.).
Background: Understanding the association of tobacco product use with subclinical markers is essential in evaluating health effects to inform regulatory policy. This is particularly relevant for noncigarette products (eg, cigars, pipes, and smokeless tobacco), which have been understudied because of their low prevalence in individual cohort studies.
Methods: This cross-sectional study included 98 450 participants from the Cross-Cohort Collaboration-Tobacco data set.
Int J Mol Sci
January 2025
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.
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