Elevated plasma D-dimer level is associated with short-term poor outcome in patients with acute ischemic stroke: a prospective, observational study

DOI: https://doi.org/10.21203/rs.2.9184/v1

Abstract

Background Elevated level of D-dimer increases the risk of ischemic stroke, stroke severity and progression of stroke status, but the association between D-dimer and functional outcome is unclear. The aim of this study is to investigate whether Plasma D-dimer level is a determinant of short-term poor functional outcomes in patients with acute ischemic stroke (AIS). Methods This prospective study included 877 patients with AIS provided plasma D-dimer level after stroke onset. Patients were categorized per D-dimer level: Quartile 1(≤0.24 mg /L), Quartile 2 (0.25–0.56 mg /L), Quartile 3 (0.57–1.78 mg /L), and Quartile 4 (>1.78mg /L). Each patient’s medical record was reviewed, and demographic, clinical, laboratory and neuroimaging information was abstracted. Functional outcome at 90 days was assessed with the modified Rankin Scale (mRS). Results Of 877 patients were included (mean age, 64 years; male, 68.5%), poor outcome was present in 302 (34.4%) patients. After adjustment for potential confounding variables, higher D-dimer level on admission was associated with poor outcome (adjusted odds ratio [aOR] 2.257, 95% CI1.349-3.777 for Q4:Q1; P trend = 0.004). According to receiver operating characteristic (ROC) analysis, the best discriminating factor was a D-dimer level ≥0.315 mg/L for pour outcome [area under the ROC curve (AUC) 0.657; sensitivity 83.8%; specificity 41.4%]. Conclusion Elevated plasma D-dimer level on admission was significantly associated with increased poor outcome after admission for AIS, suggesting the potential role of D-dimer as a predictive marker for short-term poor outcomes in patients with AIS.

Background

Epidemiological investigations have concluded that stroke is a leading cause of adult disability and mortality, it poses a serious public health burden worldwide [1-3]. Recently the multicenter Global Burden of  Disease (GBD 2016) Study found that risk of ischemic stroke was 18.3% ,the risk of hemorrhagic stroke was 8.2% among adults 25 years of age or older [4]. As a predominant stroke subtype in Chinese populations[5], AIS was up to 66.4% among the stroke subtypes between September 2007 and August 2008 in the Chinese  National Stroke Registry  [6]. Because of the high morbidity of AIS and high risk of disability after AIS, the estimation of prognosis is an emergent issue when physicians confront with these concerns from patients and families after AIS. Recent studies have found prognostic factors such as glycemic index, BMI and uric acid, but their prognostic values on AIS was inconsistent [7-12]. For better specific management of stroke rehabilitation regarding neurological functional outcomes, identifying more powerful predictors of clinical prognosis is indispensable.

D-dimer is a final soluble fibrin degradation product and derived from the cross-linked fibrin network undergoes plasmin-mediated degradation. As D-dimer level reflects increases in blood thrombosis and degradation of fibrin, D-dimer could be a biological marker of hemostatic abnormalities and thrombosis[13]. Elevated D-dimer level is reportedly a determinant of stroke progression [14], and infarction volume [15] and the incidence of stroke [16]. There are recently many studies about whether D-dimer is a determinant of poor functional outcomes after AIS, however, the conclusions of studies were controversial [17-20]. Some investigators found that D-dimer level could predict independently poor functional outcomes in patients with AIS[17, 18], other investigators reported the conflicting results[19, 20].

Accordingly, the aim of this study was to investigate whether elevated D-dimer level could be a significant determinant of poor outcome after admission for AIS.

Methods

Study population

This was a prospective study based on retrospectively collected data. We collected the records of acute ischemic stroke patients at Renmin Hospital of Wuhan University from January 2017 to August 2018. All patients were admitted within 72 hours of experiencing a new focal or global neurological event. Acute ischemic stroke was diagnosed according to the World Health Organization criteria [21] combined with brain computed tomography or magnetic resonance confirmation within 72 hours. Patients were excluded if any of the following criteria were met: a delay of 72 hours from symptom recognition to admission, age younger than 18 years, preexisting significant disability (defined as modified Rankin scale, mRS2) from any condition, intracranial hemorrhage, malignancy, febrile disorders, acute or chronic inflammatory disease at study enrollment. Each participant was followed up after 3 months via telephone, email, and face to face. The study protocol complied with the Declaration of Helsinki and approved by the Wuhan University Ethics Committee.

Demographic and clinical assessment

Socio-demographic, self-reported medical history and vascular risk biomarker data were assessed and included: age, sex, body mass index (BMI), histories of hypertension, diabetes, alcohol consumption, smoking, dyslipidemia, atrial fibrillation, previous stroke, and coronary artery disease (CAD). The National Institutes of Health Stroke Scale (NIHSS) scores were used by stroke neurologists to assess neurological deficit when the patients were admitted [22]. Stroke subtype was

classified according to Trial of Org 10172 in acute stroke treatment (TOAST classification) criteria [23], which distinguished large-artery arteriosclerosis, small-artery occlusion, cardio-embolism, other causative factor, and undetermined causative factor.

Fasting plasma glucose (FPG) and plasma D-dimer were measured on the first morning of admission after at least 8 h of fasting. Plasma D-dimer levels were assessed for all patients upon admission with a particle-enhanced, immunoturbidimetric assay in a calibrated SYSMEX7000 analyzer (Sysmex Corporation, Hyogo, Japan). The normal range of morning plasma D-dimer concentration in our hospital laboratory is 0–0.55 mg/L.

Follow‑up and short term outcomes

Patient follow-up was performed at 90 days after stroke onset. The prognosis outcome was assessed with mRS by telephone interview by a trained research nurse or neurologist, a good functional outcome was defined as a mRS of 0–2 points, whereas a poor outcome was defined as a mRS of 3–6 points.

Statistical analysis

For continuous variables, data are expressed either as the means ± standard deviations (SD) or medians (interquartile ranges, IQR). Discrete variables are expressed as frequencies and percentages. The patients were categorized into two groups according to prognosis outcome (good outcome group vs poor outcome group) and four quartiles groups according to their median plasma D-dimer levels at admission. The statistical significance of inter-group differences was assessed by χ2 tests, unpaired Student t-test, one-way analysis of variance (ANOVA) and Mann–Whitney U tests, as appropriate. In this study, we collected variables associated with functional outcomes of AIS included sex, age, BMI, vascular risk factors smoker, Alcohol drinker, atrial fibrillation, diabetes, hypertension, CAD, dyslipidemia, previous stroke, baseline Systolic pressure , baseline Systolic pressure , FBG , baseline NIHSS scores and stroke subtype. Multivariate analysis adjustment for variables was performed for the relationship between the quartiles of D-dimer and poor outcome by logistic regression analysis, which used methods from previous studies [24, 25] . Results were expressed as adjusted odds ratios (OR) with the corresponding 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curves were utilized to evaluate the accuracy of D-dimer to predict AIS poor neurological outcomes. The area under the curve (AUC) was calculated as measurements of the accuracy of the test. All statistical analysis was performed with SPSS for Windows, version 22.0 (SPSS Inc., Chicago, IL, USA). P<0.05 was considered statistically significant.

Results

Baseline characteristics of the patients

A total of 877 AIS patients (median age 64 years,68.5% male) who met the inclusion criteria were recruited for this study,median D-dimer level on admission was 0.56 (0.24-1.79) mg /L, and the median NIHSS score on admission was 5(3–8). Among the 877 patients, 575(65.6%) presented with good outcomes, 302 (34.4%) presented with poor outcomes and 109 (8.8%) had died by 90 days. The baseline characteristics and outcomes of the patients with AIS are described in Table 1. The sex, age, BMI, smoker, history of atrial fibrillation, FBG, D-dimer, baseline NIHSS scores and stroke etiology were markedly associated with the outcomes of AIS at 90 days (P<0.05 for all).

Figure 1 shows the plasma D-dimer levels between two functional outcome groups. In the patients with pour outcome, plasma D-dimer levels were significantly higher compared with those in patients with good outcome [0.88(IQR, 0.42–2.72) mg/L vs 0.46 (IQR, 0.21–1.32) mg/L; P=0.001]

Correlation between D-dimer and 90-Day functional outcome

Patients were stratified into four groups according to D-dimer quartiles: Plasma D-dimer level 0.24, 0.25–0.56, 0.57–1.78, and 1.78mg /L (Table 2). Among the four groups, there were no significant differences in the history of hypertension, diabetes, dyslipidemia, previous stroke, Alcohol drinker, FBG, and baseline Systolic pressure (P0.05 for all). Age, sex, BMI, smoker, atrial fibrillation, baseline Diastolic pressure, baseline NIHSS scores, stroke etiology, and mortality differed among the four groups (P<0.05 for all). The unadjusted comparisons of the four groups revealed more poor outcomes among the higher quartiles of D-dimer (Figure 2).

Univariate analysis shows a clear relationship between admission D-dimer and functional outcome (Figure 3). Furthermore, the associations between D-dimer and pour outcome after adjustment are detailed in Tables 3. In patients with high D-dimer, the risk of poor functional outcome at 90 days was significantly increased as compared with the group with low D-dimer (P trend = 0.000, OR = 3.800, 95% CI = 2.420-5.965 for Q4: Q1; adjusted for age, sex and BMI). Additional adjustment for smoker, Alcohol drinker, atrial fibrillation, diabetes, hypertension, CAD, dyslipidemia ,previous stroke, baseline Systolic pressure , baseline Systolic pressure , FBG , baseline NIHSS scores and stroke etiology did not influence this finding, an overall OR of 2.257 (P trend = 0.004, 95% CI = 1.349-3.777 for Q4: Q1) was found for patients with high D-dimer.

Predictive values of D-dimer levels for outcome

To further evaluate the predictive values of Plasma D-dimer levels in patients with AIS, the ROC curves and AUCs were created and are depicted (Figure 4). Based on the ROC curve, the optimal cut-off value of plasma D-D levels as an indicator for diagnosis of unfavorable functional outcome was projected to be 0.315 mg/L, which yielded a sensitivity of 83.8% and a specificity of 41.4%, the area under the curve was 0.657 (95%CI, 0.620–0.694; P=0.000).

Discussion

In the present study, higher D-dimer level on admission was a significant independent determinant of short-term neurological dysfunction in patients with AIS within 90 days in the Chinese population. After adjusting for various confounders, the association remained significant.

Previous prospective epidemiological investigations have concluded that there is a positive association between D-dimer levels and stroke [26-28]. In some studies, the results showing that D-dimer was associated with stroke severity [29, 30], infarct volume [15, 31, 32] and progression of stroke status [14, 33, 34]. While in the patient with AIS, there are not many studies about the association between D-dimer levels and poor outcomes.

The available investigations of stroke have shown a correlation between D-dimer levels and functional outcomes and the prognostic value of D-Dimer in several different types of population with AIS [35-39]. Nam et al. [35] and Nezu et al. [36] found a predictive role of D-dimer only in patients with cryptogenic stroke. A Canadian study by Kim et al. [37] reported prognostic Value of plasm D-Dimer in patients with noncardioembolic stroke. In the study of the Chinese population complicating coronary heart disease, the result indicated that higher D-dimer levels had worst outcomes within 90 days after initial onset of AIS[38]. A Swiss study by Hsu et al. reported high plasma D-dimer indicates unfavorable outcome of in patients with AIS receiving intravenous thrombolysis[39]. But review previous literature, we also found that some other studies have reported conflicting results in comparison. A report by Squizzato et al. [19] revealed that D-dimer levels with AIS probably do not predict the functional outcome after adjustment for age and stroke subtype. Furthermore, two other studies even did not find a meaningful association between D-dimer and the prognosis of patients with AIS[40, 41].

In this study, because the prognostic did not alter even if adjusted various confounders such as age, sex, BMI, vascular risk factors, baseline NIHSS scores, and stroke etiology, our results revealed D-dimer is an independent biological prognostic marker of AIS. Actually, the positive value of plasm D-Dimer in patients with all subtypes of AIS was indicated in the previous several studies [33, 41, 42], which is consistent with our findings.

D-dimer derived from the cross-linked fibrin network is a final soluble fibrin degradation product undergoes plasmin-mediated degradation [13]. D-dimer could be elevated in population with thrombotic diseases such as pulmonary embolism and venous thromboembolism [42, 43], however, the mechanism remains unclear. There are several possible explanations for why D-dimer levels might be relevant to poor functional outcomes in patient with AIS. First of all, D-dimer level increases in blood coagulation and degradation of fibrin and could be a marker of thrombosis based on the underlying mechanisms [44, 45]. Moreover, high D-dimer levels may result in resistant to the endogenous fibrinolytic system and influence thromboembolism formation [40, 46]. Furthermore, D-dimer also stimulates the immune system and lead to changes in inflammatory mediators levels such as IL-1, TNF-alpha, IL-6, and IL-8 [47, 48]. Activated inflammation may contribute to the pathological alteration in patients with AIS [49]. In addition, infarct volume, initial stroke severity, and progression of stroke status were correlated with high D-dimer levels [14, 29-34], therefore elevated D-dimer levels may predict poor outcomes through the aggravation of cerebral tissue damage by disturbing recanalization and increasing reperfusion injury. Additionally, D-dimer level in patients with AIS may identify patients who may benefit from additional interventions, targeting some of the mechanisms mentioned above. This need be explored in further studies.

This current study has several limitations. First, this is a single-center, observational study. The sample sizes of patients are small, and selection bias was a major concern, therefore limiting the power to generalize our results. Second, the D-dimer levels were recorded only at admission, recording the serial change of D-dimer levels might be better explored the correlation between D-dimer and outcomes after AIS. Finally, our study did explore short-term outcomes whose end-point was defined at 90 days. The relationship between D-dimer levels and long-term prognosis require further confirmation in our study population. Therefore, further larger sample size, multicenter studies are needed to carry out.

Conclusions

Elevated plasma D-dimer level on admission was significantly associated with increased poor outcome after admission for AIS, suggesting the positive role of D-dimer as a predictive marker for short-term poor outcomes in patients with AIS. Plasma D-dimer level as a convenient and economical biological indicator could be used for better specific management of stroke rehabilitation regarding functional outcomes.

Abbreviations

AIS :acute ischemic stroke; mRS :modified Rankin Scale ;NIHSS: National Institutes of Health Stroke Scale; OR: Odds ratio; aOR: adjusted odds ratio; ROC :receiver operating characteristic; AUC: area under the ROC curve;BMI :body mass index ; CAD: coronary artery disease; FPG :Fasting plasma glucose; SD :standard deviations ;IQR : interquartile ranges ;ANOVA: analysis of variance; SD: Standard difference; CI: Confidence interval

Declarations

Acknowledgments

We thank all the participants for their participation in this study.

Funding

This research was supported by the National Natural Science Foundation of China (No. 81401051) and the Hubei Provincial Natural Science Foundation of China (No. 2016CFB575).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

TY interpreted the patient data and were the main contributors in writing the manuscript. TY, BLT, GL, DH, and YQZ performed the statistical analysis and were a major contributor in writing the manuscript. QZ, CFW, BP, YG, and LX collected the data and were the major contributors in writing the manuscript. GHW participated in study design, data interpretation and revise the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study is approved by the Ethics Committee of Wuhan University, Wuhan, Chin, and all participants gave written informed consent for participation and to publication.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author details

1 Department of Neurology, Renmin Hospital of Wuhan University, Wuhan 430060, China

2 Department of Neurology, Dawu County Hospital of Traditional Chinese Medicine, Hubei 432800, China

3 Emergency Department, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430061, China

4 Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China

5 Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China

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Tables

Table 1 Baseline characteristics of the study patients grouped by 90-day functional outcome

all

good outcome

poor outcome

Variable

(n=877)

(n=575)

(n=302)

P value

Age (years)

64.00 (54.50-73.00)

62(52-70)

68(60-77.25)

0.000

Sex (male) (%)

601(68.5)

413(71.8)

188(62.3)

0.004

BMI (kg/m2)

25.09±3.64

27.69±3.54

25.70±3.74

0.000

Smoker (%)

337(38.4)

217(37.7)

120(39.7)

0.307

Alcohol drinkers (%)

192(21.9)

137(23.8)

55(18.2)

0.056

Hypertension (%)

531(60.5)

336(58.4)

195(64.6)

0.077

Diabetes mellitus (%)

281(32.0)

172(29.9)

109(36.1)

0.062

Coronary artery disease (%)

106(12.1)

61(10.6)

45(14.9)

0.064

Atrial fibrillation (%)

110(12.5)

44(7.7)

66(21.9)

0.000

Dyslipidemia (%)

309(35.2)

209(36.3)

100(33.1)

0.341

Previous stroke (%)

116(13.2)

73(12.7)

43(14.2)

0.522

NIHSS on admission

5(3-8)

5(3-7)

7(5-8)

0.000

Systolic pressure (mmHg)

147(131-164)

147(132-162)

147(130-165)

0.949

Diastolic pressure (mmHg)

83(75-92)

83(75-92)

83(74-92)

0.229

FBG (mmol/L)

6(4.81-8.22)

5.62(4.63-7.50)

6.70(5.46-9.50)

0.000

D-dimer (mg /L)

0.56(0.24-1.79)

0.46(0.21-1.32)

0.88(0.42_2.72)

0.000

Stroke etiology (%)

0.000

Large-vessel occlusive

344(39.2)

176(30.6)

168(55.6)

Small-vessel occlusive

366(41.7)

312(54.3)

54(17.9)

Cardioembolic

88(10)

32(5.6)

56(18.5)

Other

30(3.4)

21(3.7)

9(3.0)

Undetermined

49(5.6)

34(5.9)

15(5.0)

The data are presented as the means ± SD for the BMI, as medians (interquartile ranges, IQR) for Age, Systolic pressure, Diastolic pressure, FBG, D-dimer levels and the NIHSS score at admission, and as the number (%) of patients for the remaining characteristics.

Table 2 Baseline characteristics of the study patients grouped by D-dimer Quartile

Quartile 1

Quartile 2

Quartile 3

Quartile 4

(≤ 0.24)

(0.25-0.56)

(0.57-1.78)

(>1.78)

P value

Age (years), median (IQR)

59(50-66)

66(58-74)

66(53-76)

66(57-76)

0.000

Sex (male) (%)

172(76.1)

152(71.4)

142(64.8)

135(61.6)

0.005

Body mass index (kg/m2)

24.89±3.52

24.79±3.56

24.99±3.64

25.69±3.78

0.040

Smoker (%)

102(45.1)

90(42.3)

74(33.8)

71(32.4)

0.012

Alcohol drinker (%)

56(24.8)

51(23.9)

44(20.1)

41(18.7)

0.344

Hypertension (%)

138(61.1)

131(63.5)

130(59.4)

133(60.7)

0.972

Diabetes mellitus (%)

83(36.7)

71(33.3)

55(25.1)

72(32.9)

0.062

Coronary artery disease (%)

18(8.0)

24(11.3)

27(12.3)

37(16.9)

0.036

Atrial fibrillation (%)

10(4.4)

23(10.8)

30(13.7)

47(21.5)

0.000

Dyslipidemia (%)

90(39.8)

80(37.6)

63(28.8)

76(34.7)

0.085

Previous stroke (%)

22(9.7)

38(17.8)

28(12.8)

28(12.8)

0.093

NIHSS on admission

4(3-7)

5(3-7)

6(3-7)

7(5-10)

0.000

Systolic pressure (mmHg)

148(134-165)

145(131-162)

144(130-162)

152(134-166)

0.221

Diastolic pressure (mmHg)

85(78-95)

82(76-90)

80(74-90)

84(76-93)

0.001

FBG (mmol/L)

5.7(4.66-8.23)

6.01(4.95-7.85)

5.90(4.78-7.46)

6.23(5.00-9.10)

0.089

D-dimer (mg /L)

0.17(0.12-0.21)

0.38(0.31-0.48)

0.92(0.72-1.27)

3.06(2.45-3.97)

0.000

Stroke etiology (%)

0.000

Large-vessel occlusive

81(35.8)

82(38.5)

86(39.3)

95(43.4)

Small-vessel occlusive

118(52.2)

93(43.7)

91(41.6)

64(29.2)

Cardioembolic

7(3.1)

18(8.5)

24(11)

39(19.8)

Other

12(5.3)

7(3.3)

5(2.3)

6(2.7)

Unknown

8(3.5)

13(6.1)

13(5.9)

15(6.8)

Mortality

4(1.8)

13(6.1)

24(11)

36(16.4)

0.000

Table 3 Adjusted odds ratios for poor outcomes according to D-dimer levels

Quartile 1

Quartile 2

P value

Quartile 3

P value

Quartile 4

P value

P for trend

OR (95% CI)a

1

2.139(1.348-3.393)

0.001

2.518(1.596-3.974)

0.000

3.800(2.420-5.965)

0.000

0.000

OR (95% CI)b

1

2.021(1.225-3.334)

0.006

2.503(1.527-4.105)

0.000

3.181(1.964-5.201)

0.000

0.000

OR (95% CI)c

1

2.028(1.208-3.405)

0.007

2.246(1.345-3.749)

0.002

2.257(1.349-3.777)

0.002

0.004

ORa, adjusted for age, sex, and BMI. ORb, as note a with additional adjustment for smoker, Alcohol drinker, atrial fibrillation, diabetes, hypertension, CAD, dyslipidemia, previous stroke, and stroke etiology. ORc, as note b with additional adjustment for baseline Systolic pressure, baseline Systolic pressure, FBG, baseline NIHSS scores.