Hypertension is a common chronic disease that affects many people worldwide. Only a few reports related to the exploration of relevant indicators of the prethrombotic state in patients with primary hypertension (PH) in clinical settings were available.

To detect prethrombotic state-related indicators in patients with PH and analyze their differences in different patient populations to provide a laboratory basis for the clinical prevention and control of hypertensive thrombotic diseases.

The general data of patients with PH who attended the Department of Cardiovascular Medicine, The First Affiliated Hospital of Jiangxi Medical College, from January 2022 to December 2022 were collected retrospectively. The patients were divided into three groups of 40 patients each according to the Grade of PH: Grade 1, Grade 2, and Grade 3 hypertension experimental group. The baseline data of 40 volunteers, who underwent physical examination in our hospital but were not diagnosed with PH during the same period, were included in the control group. The relevant indicators of prethrombotic state of the participants were compared, and mainly included inflammation-related indicators, hemorheology-related indicators, and coagulation function related indicators. The relationship between the aforementioned indicators and the progression of PH was analyzed.

No significant differences were observed in age, sex, diabetes mellitus, smoking history, drinking history, body mass index, New York Heart Association functional classification, or the course of hypertension among the four groups (P > 0.05). The expressions of high-sensitivity C-reactive protein (hs-CRP), thrombomodulin (TM), hematocrit (Hct), erythrocyte sedimentation rate (ESR), P-selectin on platelet surface (CD62P), and fibrinogen (FIB) in the control group were < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, and the expressions of platelet (PLT), activated partial thromboplastin time (APTT), prothrombin (PT), and plasma thrombin time (TT) in the control group was > Grade 1 hypertension group > Grade 2 hypertension group > Grade 3 hypertension group, and the difference was statistically significant (P < 0.05). The results of the multivariate logistic regression model showed that the expression of hs-CRP, TM, Hct, ESR, CD62P, PLT, APTT, PT, TT, and FIB in the included participants was related to the progression of PH. Among these, high expression of hs-CRP, TM, Hct, ESR, CD62P, APTT, PT, and TT, and low expression of PLT and FIB were risk factors for PH (OR > 1, P < 0.05). The results of the receiver operating characteristic curve analysis showed that the area under the curve of hs-CRP, TM, ESR, CD62P, APTT, PT, TT, and FIB for the prediction of PH were > 0.80, and the prediction value was ideal. Linear correlation analysis with bivariate Spearman showed that hs-CRP, TM, Hct, ESR, CD62P, APTT, PT, and TT were positively correlated with each other (r > 0, P < 0.05); PLT and FIB were negatively correlated with hs-CRP, TM, Hct, ESR, CD62P, APTT, PT, and TT (r < 0, P < 0.05); and PLT and FIB were positively correlated (r > 0, P < 0.05). Linear correlation analysis using bivariate Spearman showed that hs-CRP, TM, Hct, ESR, CD62P, and FIB were positively correlated with each other (r > 0, P < 0.05), whereas PLT, APTT, PT, and TT were negatively correlated with hs-CRP, TM, Hct, ESR, CD62P, and FIB (r < 0, P < 0.05). There was a positive correlation between PLT, APTT, PT, and TT (r > 0, P < 0.05).

The relevant indicators of the prethrombotic state in patients with PH, such as hs-CRP, TM, Hct, ESR, CD62P, PLT, APTT, PT, TT, and FIB, showed differences. High expression of hs-CRP, TM, Hct, ESR, CD62P, and FIB, and low expression of PLT, APTT, PT, and TT are the keys to the occurrence, progression, and thrombotic state of PH. Based on the above serum indicators' expression in patients, targeted interventions can be administered to patients with abnormal expression levels to control the progression of their disease and reduce the risk of developing a prethrombotic state.

Thromboelastogram (TEG) is an experiment to detect coagulation function with whole blood. Red blood cell (RBC) is the most abundant component of blood. Whether RBC has an impact on the results of thromboelastogram? Study Design and Methods. The correlation between hematocrit (HCT) and TEG was analyzed. 17 samples were reconstituted with different HCT. They were tested separately. Correction tests were performed on 17 samples from patients with anemia. HCT was corrected to 0.40 in female and 0.45 in males. The correction formula was determined according to the experimental correction.

HCT was negatively correlated with TEG parameters. As HCT increased, CI and angle decreased (P < 0.05, P < 0.001) and K increased (P < 0.001) in reconstituted samples. In the correction test, the angle measured value was 69.48 ± 4.98 and corrected value was 62.48 ± 6.25, MA measured value was 61.44 ± 7.10 and corrected value was 55.94 ± 7.12, K measured value was 1.45 ± 0.48 and corrected value was 2.11 ± 0.79, and CI measured value was 1.07 ± 1.67 and corrected value was -0.45 ± 1.64. There was a significant difference. The correction formulas of anemia were derived from the experimental correction results. K Correction value = (0.7903∗ A 2 - 2.1803A + 2.8268)∗ K Measured value; Tan angleCorrection value = Tan angleMeasured value/(0.6596∗ A 2 - 1.7478A + 2.4608); MACorrection value = MAMeasured value/(0.1853ln (A) + 1.0197); CICorrection value = -0.6516RMeasured value - 0.3772K Correction value + 0.1224MACorrection value + 0.0759angleCorrection value - 7.7922.

HCT has a negative impact on TEG parameters. Coagulation state of anemia patients is overestimated by TEG. The test results of anemia patients need to be corrected whether through the experimental correction or the formula correction.