Relevant detection indicator of prethrombotic state in patients with primary hypertension

Abstract

BACKGROUND

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.

AIM

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.

METHODS

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.

RESULTS

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).

CONCLUSION

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.

Key Words: Primary hypertension, Prethrombotic state, Hematocrit, P-selectin on platelet surface, Activated partial thromboplastin time, Erythrocyte sedimentation rate

Core Tip: This study aimed to identify prethrombotic state-related indicators in primary hypertension (PH) patients and analyze their differences in different PH patient populations. The study found that high expression of inflammation-related indicators, vascular endothelial injury-related indicator, hemorheology-related indicators, platelet-related indicator, and coagulation function related indicators were risk factors for PH. Meanwhile, low expression of platelet and fibrinogen was also a risk factor. The study suggested that targeted interventions could be administered based on abnormal expression levels to control disease progression and reduce the risk of developing a prethrombotic state.

INTRODUCTION

Primary hypertension (PH) is a chronic disease characterized by increased systemic arterial blood pressure and is considered a risk factor for cardiovascular disease in older adults. If blood pressure is maintained at a high level for a long time without timely and effective treatment at an early stage of the disease, it will directly lead to heart failure, coronary heart disease, kidney disease, and other adverse complications, leading to an increased risk of death[1,2]. According to a global survey of chronic diseases, new cases of PH have been increasing annually in recent years, and a younger onset has become obvious. Currently, this disease is a major public health problem[3]. The World Health Organization’s reports emphasize that PH can significantly increase the risk of heart disease, stroke, kidney disease, and other health issues. In view of the high incidence of PH and the great difficulty in its control, some reports point out that early detection, diagnosis, and intervention are particularly important for reasonably controlling blood pressure levels and reducing morbidity risks such as cardiovascular complications and stroke[4,5].

The pathophysiology of PH and its complications have been the focus of many studies. Hypertension is the main cause of cardiovascular disease and death, and the prevention and treatment of hypertension have become the top priority in the prevention and treatment of cardiovascular disease. Impaired vascular endothelium and the release of inflammatory factors in patients with hypertension are the main factors leading to a prethrombotic state, which is an important intermediate link in the processes of myocardial infarction, stroke, and other complications in patients with hypertension[6,7]. Relevant studies have shown that hypertension leads to vascular inflammation and endothelial dysfunction. Inflammation can promote endothelial dysfunction, resulting in changes in the platelet, endothelial, coagulation, and fibrinolytic pathways, finally inducing the occurrence of a prethrombotic state or maintenance of a hypercoagulable state[8,9]. Therefore, observation of prethrombotic state-related indicators in patients with PH is particularly crucial for reducing the risk of thrombotic related diseases in these patients. Only a few reports related to the exploration of relevant indicators of the prethrombotic state in patients with PH in clinical settings were available. Therefore, we analyzed the differences in these indicators of prethrombotic state in patients with PH from different patient populations to provide a laboratory basis for the clinical prevention and control of the occurrence and development of hypertensive thrombotic diseases.

MATERIALS AND METHODS

General data

In this study, general data on patients with PH who attended the Department of Cardiovascular Medicine, The First Affiliated Hospital of Jiangxi Medical College, from January 2022 to December 2022 was collected retrospectively while strictly adhering to the relevant provisions of the Medical Ethics Committee. The enrolled patients were divided into three groups based on their PH Grade: 40 patients in the Grade 1 hypertension experimental group (28 males and 12 females); 40 patients in the Grade 2 hypertension experimental group (25 males and 15 females); and 40 patients in the Grade 3 hypertension experimental group (23 males and 17 females). The baseline data of 40 volunteers who underwent physical examinations in our hospital during the same period but were not diagnosed with PH were collected and included in the control group (25 males and 15 females). The baseline data of the above four groups of participants were compared. The balance was ideal (P > 0.05), and the study was conducted (details of baseline data comparison are shown in Table 1).

Table 1 Comparison of baseline data of participants in four groups.

Baseline data		Grade 1 hypertension experimental group (n = 40)	Grade 2 hypertension experimental group (n = 40)	Grade 3 hypertension experimental group (n = 40)	Control group (n = 40)	Statistical values	P value
Age (yr)	< 60	31	29	30	28	χ2 = 0.646	0.886
	≥ 60	9	11	10	12
Sex	Male	28	25	23	25	χ2 = 1.369	0.713
	Female	12	15	17	15
Combined diabetes	Yes	10	8	9	10	χ2 = 0.387	0.946
	No	30	32	31	30
BMI (kg/m2)	≤ 24	15	14	15	13	χ2 = 0.300	0.960
	> 24	25	26	25	27
Smoking history	Yes	12	10	12	11	χ2 = 0.340	0.952
	No	28	30	28	29
Drinking history	Yes	10	11	13	11	χ2 = 0.587	0.899
	No	30	29	27	29
NYHA cardiac functional classification	Grade I	33	31	32	33	Z = 0.588	0.557
	Grade II	6	7	8	7
	Grade III	1	2	0	0
	Grade IV	0	0	0	0
Course of hypertension (mean ± SD, yr)		5.25 ± 2.15	5.35 ± 2.25	5.47 ± 2.17	-	F = 0.110	0.896

BMI: Body mass index; NYHA: New York Heart Association.

Inclusion criteria

(1) All patients with PH referred to the relevant contents in the China Guidelines for the Prevention and Treatment of Hypertension (Revised Version in 2018)[10]: In the resting state without using any antihypertensive drugs, the systolic blood pressure (SBP) of the patients was ≥ 140 mmHg and/or the diastolic blood pressure (DBP) was ≥ 90 mmHg. The PH was determined by taking measurements three times on a different day or above for all patients; (2) All enrolled patients were aware of the purpose and method of this study, and signed the consent form voluntarily; and (3) Baseline data of the included patients, including laboratory results, were well-maintained for the purposes of this study.

Exclusion criteria

(1) Patients with organic diseases such as hypertensive encephalopathy and hypertensive nephropathy; (2) complications of thrombotic hemorrhagic diseases; (3) previous medication history of combined administration of anti-anxiety and anti-depression drugs, which led to decreased compliance of patients and prevented them from cooperating with the research smoothly; (4) combined use of drugs and other bad habits; (5) complications of cachexia such as tumor; (6) patients who took antiplatelet and anticoagulant drugs such as warfarin, aspirin enteric-coated tablet, and heparin within 3 mo of enrollment; (7) pregnant women and those who menstruating; (8) co-infection or immune system disease, and for those for whom the clinical treatment effect is not ideal; and (9) combination of decreased coagulation system function.

Baseline data acquisition

Based on the purpose and study method, the statistical table of baseline data was designed to include sex (male/female), age (< 60 years/≥ 60 years), accompanied with diabetes (Yes/No, diabetes was diagnosed according to the diagnosis and treatment standards in China Guidelines for the Prevention and Treatment of Type 2 Diabetes, 2017 Edition)[11], body mass index (BMI) (≤ 24 kg/m², > 24 kg/m², which was divided into: low weight: < 18.5 kg/m², normal: 18.5-23.9 kg/m², and overweight/obesity: ≥ 24 kg/m²) according to the relevant contents of China Guidelines for Prevention and Control of Adult Overweight and Obesity[11,12], smoking history (Yes/No, Continuous/cumulative smoking for more than half a year), drinking history (Yes/No, and drinking more than once a month in the past 12 mo), New York Heart Association (NYHA)[13] cardiac function classification (Grade I: Daily activities were not restricted, and common physical activities did not cause patients to feel shortness of breath, palpitation, and fatigue; Grade II: Mild limitation, and easy daily physical activity, may cause patients to have shortness of breath, palpitations, fatigue, and other uncomfortable feelings; Grade III: Limitation is obvious, and lower than normal daily activity level cause patients to experience shortness of breath, palpitation, fatigue, and other uncomfortable feelings; Grade IV: Limited activities and unable to carry out any activity, patients to experience shortness of breath, palpitation, fatigue, and other uncomfortable feelings even in the rest state), course of PH, and blood pressure status.

Classification criteria for PH[14]

According to the DBP and SBP of patients, they were divided into: Grade 1 hypertension: SBP 140-159 mmHg and/or DBP 90-99 mmHg; Grade 2 hypertension: SBP 160-179 mmHg and/or DBP 100-109 mmHg; Grade 3 hypertension: SBP ≥ 180 mmHg and/or DBP ≥ 110 mmHg. When DBP and SBP belonged to different grades, whichever came first was determined to be the higher grade.

Detection indicator of inflammation

High-sensitivity C-reactive protein (hs-CRP): 5 mL of peripheral venous blood from all participants in the fasting state was collected shortly after waking up in the morning, and the supernatant was collected after centrifugation at 3000 r/min (centrifugal radius: 15 cm) for 15 min. The hs-CRP levels in serum samples were detected by immunoturbidimetry.

Detection indicators of blood rheology

Hematocrit (Hct) and erythrocyte sedimentation rate (ESR): 5 mL of venous blood was collected from patients in the fasting state. Hct was detected using a BC-5000 automatic blood cell analyzer (Shenzhen Meirui Biomedical Electronics Co., Ltd.), and ESR was detected using a SECCO SD-100 dynamic ESR instrument.

Detection indicator of vascular endothelial injury

Thrombomodulin (TM): 5 mL of fasting venous blood collected from the morning onwards was centrifuged at 3000 r/min (centrifugal radius: 15 cm) for 15 min, and the supernatant was collected. Serum TM expression was measured using ELISA.

Detection indicator of platelets

Platelet count (PLT) and P-selectin on the platelet surface (CD62P): 5 mL fasting elbow venous blood was collected, PLT was detected using a BC-5000 automatic blood cell analyzer (Shenzhen Meirui Biomedical Electronics Co., Ltd.), and CD62P expression was detected using flow cytometry (Beckman Coulter EPICSXL, US).

Detection indicator of coagulation function

Activated partial thromboplastin time (APTT), prothrombin time (PT), plasma thrombin time (TT), and fibrinogen (FIB): 5 mL of fasting venous blood from morning onwards was collected and centrifuged at high speed (3000 r/min) for 10 min at 4℃ for the effective separation of upper serum. The expression levels of APTT, PT, TT, and FIB were determined using a Hitachi 7600 automatic biochemical analyzer (Hitachi, Japan). All indicators were tested in strict accordance with the manufacturer’s instructions.

Statistical analysis

SPSS24.0 software was used for the data processing. All measurement data were subjected to the Shapiro-Wilk normality test. Data that conformed to the normal distribution were expressed as mean ± SD. An independent sample t-test was used for comparisons between groups, and repeated-measures analysis of variance was used for comparisons of single indicators among multiple groups. The count data were expressed as percentages using χ² test, and the correlation between variables was analyzed using bivariate Spearman linear correlation analysis. The relationship between each indicator and patients with PH was tested using Logistic regression analysis. The receiver operating characteristic (ROC) curves of the patients were drawn to test the predictive value of the main indicators in PH. The following definitions were used for evaluation by the area under the curve (AUC), AUC ≤ 0.50: no predictive value, 0.50 < AUC ≤ 0.70: low predictive value, 0.70 < AUC ≤ 0.90: medium predictive value, and AUC > 0.90: high predictive value. P < 0.05 indicated that the difference was statistically significant.

RESULTS

Comparison of baseline data of subjects among the four groups

There was no significant difference in age, sex, concomitant diabetes, smoking history, drinking history, BMI, and NYHA functional classification data of subjects among the four groups (P > 0.05). No significant difference was observed in the course of disease of patients with hypertension among the three groups (P > 0.05), as shown in Table 1.

Comparison of expression levels of inflammation and vascular endothelial injury-related indicators among the four groups

The expression levels of hs-CRP and TM in the control group were < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, and the differences were statistically significant (P < 0.05). The results are shown in Table 2.

Table 2 Comparison of expression of relevant indicators of inflammation and vascular endothelial injury among the four groups (mean ± SD).

Group	Number of patients	hs-CRP (mmol/L)	TM (μg/L)
Grade 1 hypertension experimental group	40	2.05 ± 0.85	20.15 ± 1.05
Grade 2 hypertension experimental group	40	4.15 ± 1.05	22.85 ± 1.35
Grade 3 hypertension experimental group	40	5.45 ± 1.20	26.12 ± 2.25
Control group	40	1.72 ± 0.32	5.41 ± 1.20
F value	-	149.720	1420.213
P value	-	< 0.001	< 0.001

hs-CRP: High-sensitivity C-reactive protein; TM: Thrombomodulin.

Comparison of hemorheological parameters among the four groups

The expressions of Hct and ESR in the control group were < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group. The differences were statistically significant (P < 0.05) as shown in Table 3.

Table 3 Comparison of hemorheological indexes among the four groups (mean ± SD).

Group	Number of cases	Hct (%)	ESR (mm/h)
Grade 1 hypertension experimental group	40	40.85 ± 3.15	30.25 ± 5.85
Grade 2 hypertension experimental group	40	41.25 ± 3.45	42.15 ± 6.25
Grade 3 hypertension experimental group	40	43.25 ± 4.25	60.15 ± 8.15
Control group	40	39.56 ± 2.85	25.12 ± 5.05
F value	-	7.810	234.107
P value	-	< 0.001	< 0.001

Hct: Hematocrit; ESR: Erythrocyte sedimentation rate,

Comparison of platelet-related indicators among the four groups

CD62P expression in the control group was < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group. The PLT expression in the control group was > Grade 1 hypertension group > Grade 2 hypertension group > Grade 3 hypertension group and showed statistically significant differences (P < 0.05), as listed in Table 4.

Table 4 Comparison of platelet-related indicators among the four groups (mean ± SD).

Group	Number of patients	CD62P (%)	PLT (× 109)
Grade 1 hypertension experimental group	40	8.85 ± 1.18	115.68 ± 40.15
Grade 2 hypertension experimental group	40	11.12 ± 1.35	108.56 ± 35.85
Grade 3 hypertension experimental group	40	13.10 ± 1.75	95.25 ± 30.12
Control group	40	6.25 ± 1.05	135.25 ± 50.12
F value	-	190.280	7.052
P value	-	< 0.001	< 0.001

CD62P: P-selectin on platelet surface; PLT: Platelet count.

Comparison of coagulation function related indicators among the four groups

The expressions of APTT, PT, and TT in the control group were > Grade 1 hypertension group > Grade 2 hypertension group > Grade 3 hypertension group, and the expression of FIB in the control group was < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group. The differences were statistically significant (P < 0.05), as shown in Table 5.

Table 5 Comparison of coagulation related indicators among the four groups (mean ± SD).

Group	Number of patients	APTT (s)	PT (s)	TT (s)	FIB (g/L)
Grade 1 hypertension experimental group	40	29.25 ± 2.71b	11.98 ± 0.50b	15.95 ± 1.08b	3.20 ± 0.51b
Grade 2 hypertension experimental group	40	27.25 ± 2.24a	10.82 ± 0.92a	15.01 ± 0.89a	5.12 ± 0.68a
Grade 3 hypertension experimental group	40	25.42 ± 1.52a	10.02 ± 0.34a	14.02 ± 0.65a	6.19 ± 1.15a
Control group	40	30.12 ± 2.65	12.31 ± 0.52	16.08 ± 1.12	3.01 ± 0.42
F value	-	315.25	105.522	174.218	82.151
P value	-	< 0.001	< 0.001	< 0.001	< 0.001

^aP < 0.05.

^bP > 0.05 vs control group.

APTT: Activated partial thromboplastin time; PT: Prothrombin; TT: Plasma thrombin time; FIB: Fibrinogen.

Logistic regression analysis between the above indicators and prethrombotic state of PH

The expression of the aforementioned indicators in the serum of the enrolled patients was taken as a covariate and PH as a dependent variable (1 = Yes, 0 = No) to establish a multivariate Logistic regression model. The results showed that the expressions of hs-CRP, TM, Hct, ESR, CD62P, PLT, APTT, PT, TT, and FIB in the enrolled patients were related to the progression of PH. High expressions of hs-CRP, TM, Hct, ESR, CD62P, APTT, PT, and TT and low expressions of PLT and FIB were risk factors for PH (OR > 1, P < 0.05), as shown in Table 6.

Table 6 Logistic regression analysis of the above indicators and prethrombotic state of primary hypertension.

Variable	B	SE	Wals	P value	OR value	95%CI
						Upper limit	Lower limit
Constant	-2.717	0.665	16.720	< 0.001	0.066	-	-
hs-CRP	1.535	0.307	25.086	< 0.001	4.643	2.546	8.468
TM	0.684	0.248	7.584	0.006	1.982	1.218	3.226
Hct	0.184	0.058	10.219	0.001	1.202	1.074	1.346
ESR	0.226	0.042	29.282	< 0.001	1.254	1.155	1.361
CD62P	2.261	0.486	21.684	< 0.001	9.592	3.704	24.842
PLT	0.017	0.005	12.958	< 0.001	1.017	1.008	1.027
APTT	0.716	0.128	11.664	< 0.001	1.926	1.421	2.158
PT	0.805	0.148	15.660	< 0.001	2.192	1.605	2.840
TT	0.924	0.108	13.348	< 0.001	2.490	1.808	3.418
FIB	5.212	0.863	19.566	< 0.001	88.423	18.137	427.013

hs-CRP: High-sensitivity C-reactive protein; TM: Thrombomodulin; Hct: Hematocrit; ESR: Erythrocyte sedimentation rate; CD62P: P-selectin on platelet surface; PLT: Platelet count; APTT: Activated partial thromboplastin time; PT: Prothrombin; TT: Plasma thrombin time; FIB: Fibrinogen.

Effectiveness analysis of each indicator in predicting PH

The expression of the aforementioned serum indicators in the enrolled patients was taken as a test variable, and the condition of PH was taken as state variable (1 = Yes, 0 = No) to draw the ROC curve (Figure 1). The results of ROC curve analysis showed that the AUC of hs-CRP, TM, ESR, CD62P, APTT, PT, TT, and FIB for the prediction of PH was > 0.80, and the prediction value was ideal, as shown in Table 7.

Figure 1 Receiver operating characteristic curve plot. A: Expression of relevant indicators of inflammation and vascular endothelial damage predicting primary hypertension (PH); B: Expression of relevant indicators of blood rheology predicting PH; C: Platelet associated (P-selectin on platelet surface) index expression predicting PH; D: Platelet associated (Platelet count) index expression predicting PH; E: Expression of coagulation function related (Activated partial thromboplastin time, prothrombin, and plasma thrombin time) indexes predicting PH; F: Expression of coagulation function related (Fibrinogen) indexes predicting PH. ROC: Receiver operating characteristic; hs-CRP: High-sensitivity C-reactive protein; TM: Thrombomodulin; ESR: Erythrocyte sedimentation rate; Hct: Hematocrit; APTT: Activated partial thromboplastin time; PT: Prothrombin; TT: Plasma thrombin time.

Table 7 Efficacy analysis of each indicator in predicting primary hypertension.

Indicator	AUC	95%CI for AUC	Standard error	P value	Cut-off value	Sensitivity	Specificity
hs-CRP	0.890	0.840-0.941	0.026	< 0.001	1.135	0.950	0.975
TM	0.989	0.972-1.000	0.009	< 0.001	18.345	0.992	0.05
Hct	0.676	0.586-0.766	0.046	0.001	34.990	0.967	0.975
ESR	0.911	0.867-0.955	0.022	< 0.001	17.365	0.992	0.975
CD62P	0.982	0.966-0.997	0.008	< 0.001	6.635	0.992	0.325
PLT	0.680	0.572-0.788	0.055	0.001	47.290	0.975	0.975
APTT	0.987	0.973-1.000	0.007	< 0.001	38.650	0.992	0.650
PT	0.942	0.908-0.975	0.017	< 0.001	12.810	0.992	0.875
TT	0.929	0.890-0.968	0.020	< 0.001	12.680	0.992	0.975
FIB	0.957	0.929-0.986	0.015	< 0.001	2.110	0.975	0.267

AUC: Area under the curve; hs-CRP: High-sensitivity C-reactive protein; TM: Thrombomodulin; Hct: Hematocrit; ESR: Erythrocyte sedimentation rate; CD62P: P-selectin on platelet surface; PLT: Platelet count; APTT: Activated partial thromboplastin time; PT: Prothrombin; TT: Plasma thrombin time; FIB: Fibrinogen.

Correlation analysis of the above indicators in patients with PH

The 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 levels (r > 0, P < 0.05), as shown in Table 8.

Table 8 Efficacy analysis of each indicator in predicting primary hypertension.

Indicator	hs-CRP	TM	Hct	ESR	CD62P	PLT	APTT	PT	TT	FIB
hs-CRP	-	0.792a	0.237 (0.003)	0.782a	0.753a	-0.296a	-0.794a	-0.652a	-0.631a	0.802a
TM	0.792a	-	0.300a	0.818a	0.813a	-0.329a	-0.856a	-0.734a	-0.682a	0.846a
Hct	0.237 (0.003)	0.300a	-	0.317a	0.279a	-0.113 (0.153)	-0.295a	-0.201 (0.011)	-0.279a	0.318a
ESR	0.782a	0.818a	0.317a	-	0.788a	-0.267 (0.001)	-0.821a	-0.665a	-0.626a	0.830a
CD62P	0.753a	0.813a	0.279a	0.788a	-	-0.246 (0.002)	-0.850a	-0.707a	-0.668a	0.814a
PLT	-0.296a	-0.329a	-0.113 (0.153)	-0.267 (0.001)	-0.246 (0.002)	-	0.331a	0.214 (0.007)	0.223 (0.005)	-0.272 (0.001)
APTT	0.794a	0.856a	0.295a	0.821a	0.850a	-0.331	-	0.677a	0.681a	-0.843a
PT	0.652a	0.734a	0.201 (0.011)	0.665a	0.707a	-0.214 (0.007)	0.677a	-	0.534a	-0.739a
TT	0.631a	0.682a	0.279a	0.626a	0.668a	-0.223 (0.005)	0.681a	0.534a	-	-0.674a
FIB	0.802a	0.846a	0.318a	0.830a	0.814a	-0.272 (0.001)	-0.843a	-0.739a	-0.674a	-

^aP < 0.05.

hs-CRP: High-sensitivity C-reactive protein; TM: Thrombomodulin; Hct: Hematocrit; ESR: Erythrocyte sedimentation rate; CD62P: P-selectin on platelet surface; PLT: Platelet count; APTT: Activated partial thromboplastin time; PT: Prothrombin; TT: Plasma thrombin time; FIB: Fibrinogen.

DISCUSSION

At present, the pathogenesis of PH has not been fully elucidated in clinical practice. It is widely accepted that increased smooth muscle tension in peripheral arterioles and their increased responsiveness to vasoactive substances, such as angiotensin, 5-hydroxytryptamine, and catecholamine, induce corresponding functional changes. These changes can, in turn, cause structural changes in blood vessels, and ultimately result in hypertension-related symptoms due to increased peripheral vascular resistance[15,16]. The prethrombotic state, also known as hypercoagulable state, is a pathological process in which many factors cause dysfunction in coagulation, hemostasis, fibrinolysis, anticoagulation, and other systems. The pre-thrombotic state in PH is closely associated with target organ damage and long-term prognosis. Therefore, correcting coagulation and fibrinolysis dysfunction while reasonably controlling blood pressure is very important for reducing the risk of its complications[17,18].

The synthesis rate and amount of hs-CRP, a marker of the inflammatory response, are both low in a healthy individual. When the body suffers from inflammation and injury, the expression of hs-CRP can increase rapidly within a short time, playing an important role in regulating the function of phagocytes, activating complement, and eliminating apoptosis, necrosis, and damaged cell tissues in the body[19,20]. The results of this study showed that the expression of hs-CRP in the control group was < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, indicating that high expression of hs-CRP might be an important factor leading to the progression of PH and induction of a prethrombotic state. The reasons for this analysis may be as follows: First, the chronic inflammatory state induced by hs-CRP leads to the transformation of vascular endothelium to pro-inflammatory and pro-coagulation surfaces, leading to damage to the vascular system and causing endothelial dysfunction. Local hypercoagulable states lead to the formation of fibrin, platelet aggregation, and other coagulation-fibrinolysis system disorders, finally inducing PH; if not properly controlled, it will further induce a prethrombotic state[21,22]. Second, the inflammatory state of the body causes urate crystals to deposit in the blood vessels, which over time causes the blood to hypercoagulate and induce thrombosis[23]. Hct indirectly reflects the volume and size of red blood cells and determines the effect of red blood cells on blood viscosity[24]. The high expression of Hct leads to a reduction of erythrocyte deformability and volume, increase in blood viscosity, significant increase in blood pressure on one hand, and a retardation of blood flow due to the increase in blood viscosity and blood flow resistance on the other hand. This leads to the accumulation of metabolic indicators in the blood, such as uric acid and glucose, in large quantities on the vascular wall, affecting the body's blood pressure level[25,26]. ESR refers to the rate of erythrocyte sedimentation at rest. Owing to the interference of the negative charge on the cell membrane surface, the ESR is dispersed and decreases. The higher the ESR is, the higher the ESR becomes. Therefore, ESR is often used as an evaluation index for tumors and inflammation in clinic[27,28]. The results of this study showed that the expressions of Hct and ESR in the control group were < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, suggesting that the high expressions of Hct and ESR were related to the induction of PH. The reasons for analysis results may be as follows: (1) High expression of Hct can lead to increased red blood cell count and blood viscosity, increased vascular resistance, and significantly increased cardiovascular load, which in turn can lead to increased body blood pressure and the occurrence of PH; (2) The increase of blood viscosity leads to slow blood flow, hypoxia of organs and tissues, and intracellular release of cytokines such as angiotensin, resulting in thickening and decreased elasticity of the vascular wall, and inducing PH; and (3) The red blood cell surface is negatively charged. When Hct is highly expressed, the number of blood cells decreases and the electrical load is alleviated. The agglutination reaction occurs at an increased speed, and precipitation is accelerated. As a result, the blood becomes hypercoagulable, with the flow rate reducing and blood pressure increasing, which is more likely to induce PH[29-31]. Platelet activation, endothelial damage, and the subsequent release of bioactive substances are important processes during the prethrombotic state[32]. TM, a specific endothelial cell receptor, mainly distributed as a single-chain glycoprotein on the surface of vascular endothelial cells, which mediates the rapid activation of the anticoagulant factor protein C and causes specific changes in the thrombin substrate; thus, playing an important role in the body's anticoagulant reaction. When its expression in plasma is increased, it accelerates platelet accumulation, which is closely related to cardiovascular and cerebrovascular diseases[33-35]. Endothelial cells are the only interface where tissue contacts the blood. Local endothelial cells exhibit antithrombotic activity and are vulnerable to functional interface[36]. The results of this study showed that the expression level of TM in the control group was as follows: Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, suggesting that TM was related to the formation of PH. The possible reasons for this observation were as follows: When the blood pressure increased, the vascular endothelium was damaged and thrombogenic endothelial components such as microfibrils and collagen were exposed; the damaged endothelial cells released substances such as von Willebrand factor and P-selectin, causing local leukocyte aggregation, platelet adhesion, and smooth muscle contraction. Persistent abnormal blood circulation occurred, which in turn accelerated blood viscosity and caused PH[37,38]. The biological effects of PLT include the release of substances rich in hemostatic components, acceleration of blood coagulation, and prevention of vascular endothelial damage. High PLT expression can induce thrombosis[39]. CD62P, an adhesion molecule belonging to the selectin family, is distributed on the surface of the platelet membrane. When its high expression in the blood promotes thrombosis, it is followed by CD62P, which belongs to the lysosomal membrane-intact membrane glycoprotein. When platelets are activated, they are released into the blood along with their shedding. Their high expression in the peripheral blood is a key indicator for the clinical evaluation of platelet activation and release function[40,41]. P-selectin is synthesized in platelets and endothelial cells, and is primarily located in the α particles of endothelial cell coryneform bodies and platelets. P-selectin plays a key role in platelet adhesion to endothelial cells, and also mediates interaction between platelets, platelet monocytes, and neutrophils. This interaction activates neutrophils, releases many vasoactive substances, such as active enzymes and cytokines, and damages endothelial cells. This causes several biological effects, such as increased permeability of the basement membrane, decreased fibrinolytic activity, proliferation of extracellular matrix, and deposition of fibrinogen, and ultimately initiates thrombosis[42,43]. The results of this study showed that the expression of CD62P in the control group was < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, and the expression of PLT in the control group was > Grade 1 hypertension group > Grade 2 hypertension group > Grade 3 hypertension group, indicating that the high expression of CD62P and low expression of PLT might be related to PH and the prethrombotic state. The causes were analyzed as follows: (1) For patients with continuously elevated blood pressure, spastic contraction of blood vessels results in impaired vascular endothelium, activated platelet activity, activated large numbers of platelets, simultaneously activated thromboxane A2, increased release of serotonin, enhanced platelet adhesion and agglutination, and slowed blood flow rate, causing hypertension and prethrombotic state; and (2) When blood pressure increased, the α particles of endothelial coryneform bodies and platelets fused with the cell membrane in a short time, and P- selectin showed persistently high expression on the cell membrane surface, which initiated and expanded thrombosis[44,45]. Coagulation is a process involving many coagulation factors and enzymes that require positive and negative feedback regulatory pathways to jointly maintain demand. In a healthy state, the coagulation and anticoagulant systems contain each other and are in a dynamically balanced state to ensure the health of the blood system. When any link is abnormal, the dynamic balance is disrupted, resulting in an abnormal blood system that mainly manifests as thrombosis or hemorrhage. APTT, PT, TT, and FIB are collectively referred to as the coagulation four items, including different coagulation pathways, which are effective indicators of the body's anticoagulant activity, coagulation factor synthesis ability, and coagulation conditions. Prothrombin is synthesized in the liver and converted into thrombin after activation, which promotes the conversion of fibrinogen into fibrin and plasma coagulation and causes a prethrombotic state[46,47]. FIB is an indispensable glycoprotein bridging molecule with a relatively high molecular weight during platelet aggregation. It not only directly participates in blood coagulation, but also increases blood viscosity and changes hemodynamics by promoting platelet adhesion and aggregation[48]. The results of this study showed that the expressions of APTT, PT, and TT in the control group were > Grade 1 hypertension group > Grade 2 hypertension group > Grade 3 hypertension group, and the expression of FIB in the control group was < Grade 1 hypertension group < Grade 2 hypertension group < Grade 3 hypertension group, suggesting that APTT, PT, TT, and FIB were also related to PH and its prethrombotic state. Based on the biological effects of the above indices, it is speculated that these serum indices are closely related to the occurrence of PH and its prethrombotic state.

To verify the above hypothesis, the multivariate Logistic regression model established in this study revealed that the expressions of hs-CRP, TM, Hct, ESR, CD62P, PLT, APTT, PT, TT, and FIB in participants were related to the progression of PH. Among these, high expression of hs-CRP, TM, Hct, ESR, CD62P, and FIB and low expression of APTT, PT, TT, and PLT were risk factors for PH. The results of the ROC curve showed that the AUC of hs-CRP, TM, ESR, CD62P, APTT, PT, TT, and FIB in the prediction of PH was > 0.80, and the prediction values were all ideal. This suggests that the risk of PH and its prethrombotic state in patients can be determined clinically by observing the above serum indicators in research participants, thus guiding rational clinical intervention measures. The results of the linear correlation analysis with bivariate Spearman showed that hs-CRP, TM, Hct, ESR, CD62P, and FIB had a positive correlation with each other (r > 0, P < 0.05), whereas PLT, APTT, PT, and TT had a negative correlation 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, and the above indicators interacted with each other, which may be because the indicators are related to the body's coagulation mechanism and platelet function, and a change in one indicator will definitely cause a change in the other related indicators. However, the specific mechanism of action of these indicators has not yet been identified and needs to be defined in future targeted research. In addition, it should be noted that the number of enrolled samples in this study was single, and the baseline data of enrolled patients was all covered by our hospital. The inclusion of a retrospective analysis was limited, and all covered indicators were selected at a certain time point without performing dynamic real-time detection of their indicators. There was still a bias in the conclusion of the study, and the credibility of the conclusion should be verified by expanding the sample size and conducting multicenter prospective research in the future to provide a scientific and effective reference basis for the clinical evaluation of the disease occurrence and progression in relevant patients.

CONCLUSION

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. In clinical settings, according to the expression of the above serum indicators, targeted interventions can be administered to patients with abnormal expression to control the progression of the patient's disease and reduce the risk of a prethrombotic state.

ARTICLE HIGHLIGHTS

Research background

Hypertension is a common chronic disease that affects many people worldwide. Hypertension can lead to various complications, including prethrombotic state and thrombotic diseases, which pose a significant risk to patients' health.

Research motivation

The study collected data from patients with different grades of hypertension and compared them with a control group. The results showed that certain indicators, such as high-sensitivity C-reactive protein (hs-CRP), thrombomodulin (TM), hematocrit (Hct), erythrocyte sedimentation rate (ESR), P-selectin on platelet surface (CD62P), platelet (PLT), activated partial thromboplastin time (APTT), prothrombin (PT), plasma thrombin time (TT), and fibrinogen (FIB), were associated with PH progression, and their expression levels differed among the groups. High expression of some indicators, such as hs-CRP, TM, Hct, ESR, CD62P, and fibrinogen, and low expression of others, such as PLT, APTT, PT, and TT, were identified as risk factors for PH. The findings suggest that targeted interventions based on these indicators' expression levels could help control the progression of PH and reduce the risk of developing a prethrombotic state.

Research objectives

The research objectives were to investigate the relationship between these indicators and the progression of PH and identify risk factors for the development of prethrombotic state in hypertensive patients.

Research methods

This study retrospectively collected general data from patients with primary hypertension. The patients were divided into three groups based on their hypertension grade, and a control group was included. Relevant indicators of prethrombotic state were compared among the groups, including inflammation-related indicators, hemorheology-related indicators, vascular endothelial injury-related indicators, platelet-related indicators, and coagulation function-related indicators. Multivariate logistic regression models and receiver operating characteristic curve analyses were used to analyze the relationship between these indicators and PH progression. Linear correlation analysis was also performed.

Research results

The study results showed that certain indicators, including hs-CRP, TM, Hct, ESR, CD62P, PLT, APTT, PT, TT, and FIB, were associated with PH progression. The expressions of these indicators varied among hypertensive patients with different grades of hypertension and the control group. High expression of hs-CRP, TM, Hct, ESR, CD62P, and FIB, and low expression of PLT, APTT, PT, and TT, were identified as risk factors for PH.

Research conclusions

This study identified the relevant indicators associated with prethrombotic state in patients with primary hypertension. The expressions of these indicators varied among hypertensive patients with different grades of hypertension and the control group. High expression of certain indicators and low expression of others were identified as risk factors for PH progression and the development of a prethrombotic state. The study findings suggest that monitoring and controlling the expression levels of these indicators could help prevent and treat hypertensive thrombotic diseases. The results provide a laboratory basis for clinical prevention and control of hypertensive thrombotic diseases, offering valuable insights into the mechanisms underlying the development of thrombotic events in hypertensive patients.

Research perspectives

The findings of this study could pave the way for future research to investigate the mechanisms underlying the relationship between prethrombotic state and hypertension progression. Further studies could explore the efficacy of targeted interventions based on these indicators' expression levels to prevent and treat hypertensive thrombotic diseases. Additionally, future research could investigate the potential of these indicators as biomarkers for monitoring the progression of PH and predicting the development of thrombotic events in hypertensive patients. The study's results provide valuable insights into the pathophysiology of hypertensive thrombotic diseases and offer a basis for the development of personalized and effective prevention and treatment strategies for patients with PH.