Abstract
Background: Given the high sensitivity of the D-dimer assessment when ruling out pulmonary embolism, the present study was conducted to investigate the D-dimer levels in patients with CKD based on their related GFR.
Methods: The present cross-sectional study included 98 patients with CKD who presented to the nephrology clinic of the Shahid Beheshti Hospital in Hamadan, Iran. The patients gave informed consent before enrollment. The data of each patient was recorded in the form of a checklist. The data analysis was performed using the SPSS software at a significance level of 0.05%.
Results: There was found to be a negative correlation between GFR and D-dimer levels in the study participants. However, there was no evidence of thromboembolic events during the 1-year follow-up. Moreover, we found a direct relationship between patient age and the serum levels of the D-dimer, in that the D-dimer levels were higher in the participants who were older.
Conclusion: We concluded that serum D-dimer level has a positive correlation with age, while it has a negative correlation with GFR in CKD patients. However, no evidence of thromboembolic events was found.
Introduction
Chronic Kidney Disease (CKD) is defined as a structural defect or decreased function of the kidney1. This disorder is diagnosed by having at least one of the following criteria: a Glomerular Filtration Rate (GFR) of < 60 ml/min/ 1.73 m2, albuminuria, disturbances in urinary sedimentation, histologic or imaging evidence of renal injury, renal tubular disorders, and a history of renal transplantation for longer than 3 months2, 3.
Glomerular filtration is the process in which the blood passes from a glomerular capillary tuft inside the Bowman's capsule where it is cleared of waste products. However, erythrocytes, leukocytes, and plasma proteins are exceptions, so they remain inside the vessel4, 5. It has been shown that GFR gradually decreases with age. This reduction is affected by diet, muscular mass, gender, and race6. Based on the GFR, CKD is classified into 5 stages from mild to an advanced disease with End-Stage Renal Disease (ESRD) being the final stage. This is characterized by dramatically reduced GFR and a need for dialysis. In this stage, either peritoneal dialysis or hemodialysis is selected for the patient depending on their condition7, 8, 9, 10, 11.
D-dimer, one of the molecules that results from fibrin degradation, is very low in the blood of healthy individuals. As an indicator of increased fibrinolysis, elevated levels of D-dimer indicate intravascular coagulation and thrombotic disease. Given its high sensitivity and negative predictive value, D-dimer testing is routinely used in clinical practice as a primary assessment for patients with suspected VTE12, 13. A negative D-dimer test can definitely rule out VTE. Thus, there is no need for subsequent imaging and anticoagulant therapy13, 14. Although D-dimer is almost always elevated in VTE, it can also increase due to several other conditions including acute illness, recent trauma or surgery, active malignancies, severe atherosclerosis, and pregnancy, leading to its relatively low specificity and positive predictive value15. Moreover, the specificity of D-dimer testing for the VTE diagnosis is even lower in patients with mild or moderate CKD. In these patients, the D-dimer level is associated with the CKD stage and disease progression16, therefore positive D-dimer results have no definite diagnostic value for ESRD patients under hemodialysis17 because they often have several other comorbidities such as atherosclerosis and malignancy which are also associated with increased serum D-dimer levels18, 19. In addition, investigations have shown that the specificity of D-dimer testing for pulmonary embolism diagnosis is significantly reduced in CKD patients because the D-dimer levels are associated with the CKD stage16. Therefore, the present study aimed to investigate the serum D-dimer level and its relationship with GFR in patients with CKD.
Methods
The present cross-sectional study included 98 patients with the diagnosis of CKD who presented to the nephrology clinic of Shahid Beheshti Hospital in Hamadan, Iran from April 2019 to February 2021. The exclusion criteria were active malignancy, rheumatoid arthritis, systemic lupus erythematosus, sickle cell anemia, current history of thromboembolic events, pregnancy, post-partum conditions, recent abdominal, thoracic or orthopedic surgery, cocaine use, hemoptysis, thrombophilia, and a history of trauma in the last 4 weeks. The present study was approved by the Ethics Committee of the Hamadan University of Medical Sciences with the ethics code of IR.UMSHA.REC.1398.869.
The participants gave informed written consent. They then gave blood samples, which were used to proceed with a quantitative D-dimer assessment using the ELFA VIDAS kits by the Biomerieux Company. The cut-off value was 500 ng/ml for a quantitative D-dimer assessment. The GFR of the participants was calculated using the MDRD formula and their serum creatinine levels, which were obtained from the recent test results of the patients. The patients were classified into 2 groups based on the calculated GFR as follows:
The clinical and demographic data of the participants, including age, gender, educational level, BMI, the cause of renal failure, serum creatinine, D-dimer level, GFR, and CKD duration were recorded in the related checklists.
Data analysis was performed using the SPSS-24 software with a significance level of 0.05%. The Pearson's correlation, Spearman's correlation, t-test, and Mann-Whitney U test were used in the analytical part of this study.
Variable | Sub-groups | Frequency | Percentage (%) |
---|---|---|---|
Age group (year) | Younger than 45 | 19 | 19.39 |
45 - 60 | 28 | 28.57 | |
Older than 60 | 51 | 52.04 | |
Gender | Men | 51 | 52.04 |
Women | 47 | 47.96 | |
Educatioal level | Illiterate | 34 | 34.69 |
Lower than the high school | 41 | 41.84 | |
High school and diploma | 12 | 12.24 | |
Academic | 11 | 11.22 | |
BMI (kg/m 2 ) | BMI ≤ 18.5 | 3 | 3.06 |
18.5 < BMI ≤ 25 | 42 | 42.86 | |
25 < BMI ≤ 30 | 34 | 34.69 | |
30 < BMI | 19 | 19.39 |
CKD cause | Frequency | Percentage (%) |
---|---|---|
Diabetes | 22 | 22.45 |
Hypertension | 45 | 45.92 |
Nephrolithiasis and other urologic disorders | 12 | 12.24 |
Polycystic kidney disease | 10 | 10.20 |
Glomerulonephritis | 5 | 5.10 |
Collagen-vascular diseases | 2 | 2.04 |
Cardiorenal diseases | 2 | 2.04 |
D-dimer | Creatinine | GFR | Age | CKD duration | ||
---|---|---|---|---|---|---|
D-dimer | R | 1 | - | - | - | - |
P-value | ||||||
Creatinine | R | 0.1661 | 1 | - | - | - |
P-value | 0.1021 | |||||
GFR | R | -0.2975 | -0.8234 | 1 | - | - |
P-value | 0.0029* | 0.0000* | ||||
Age | R | 0.2096 | -0.0973 | -0.0100 | 1 | - |
P-value | 0.0383* | 0.3403 | 0.9224 | |||
CKD duration | R | 0.1749 | 0.0540 | -0.1398 | 0.0986 | 1 |
P-value | 0.0849 | 0.5975 | 0.1697 | 0.3338 |
Results
The present study investigated 98 patients diagnosed with CKD. According to our results, 52.04% of the participants were men. The mean ± SD of the participants' age was 58.14 ± 15.89 years with a range of 27 – 93. More than half of the patients were older than 60, and most of them were illiterate or had less than a high school diploma. Regarding BMI, 42.86% had a BMI of 18.5 - 25 kg/m2 (Table 1). In total, 52 (53.06%) patients were undergoing hemodialysis. The most common cause of renal failure was hypertension (45.92%), followed by diabetes (22.45%) (Table 2).
The mean ± SD values of serum creatinine and D-dimer levels were 4.96 ± 3.34 mg/dl and 1614.28 ± 1917.39 ng/ml, respectively. Moreover, the mean ± SD value for GFR was 20.27 ± 15.32 ml/min.1.73 m2. The mean ± SD for CKD duration was 10.36 ± 6.54. Finally, for a total 98 participants, 75 (76.53%) had a positive D-dimer test, while 23 (23.47%) had a negative test.
The serum D-dimer level had a significant positive correlation with creatinine and age (P < 0.05), while it had a significant negative correlation with GFR (P < 0.05). Moreover, there was a significant negative correlation between GFR and creatinine level (Table 3).
Using the Mann-Whitney U test, we found a significant difference between the patients with moderate (30 ≤ GFR ≤ 59) and severe (GFR ≤ 29) CKD and the D-dimer levels (986.37 ± 943.68 vs. 1853.06 ± 2133.95, P = 0.024).
Discussion
According to our results, there was a significant relationship between serum D-dimer level and the patients' GFR and age. We also found a negative correlation between GFR and serum D-dimer level. Patients with a lower GFR had higher D-dimer levels. In addition, there was a direct correlation between age and serum D-dimer level, meaning that an increased age led to higher D-dimer levels.
The present study is compatible with most similar studies20, 21, 22, 23, 24. For example, a study by Robert-Ebadi et al. on 1,625 participants found a more significant relationship between D-dimer level and GFR in patients whose possibility of pulmonary embolism had been ruled out compared to those with a diagnosis of pulmonary embolism23. In a study of 1305 participants, 169 participants (13%) were affected by pulmonary embolism, Linder et al. showed there to be a significant relationship between the calculated GFR and D-dimer level21. A study by Gubensek et al. on 167 participants undergoing chronic hemodialysis reported a mean D-dimer level of 966 ng/ml in these patients. Moreover, 75% of the patients had a positive D-dimer test (> 500 ng/ml), and the D-dimer levels were significantly correlated with the participants' age25. These results are compatible with our results.
According to a study by Xi et al. involving 1784 participants, the mean D-dimer levels were 291.5 mg/L, 995.5 mg/L, and 1901.5 mg/L in the patients with normal renal function, mild renal disease, and moderate renal disease, respectively. They found a significant relationship between D-dimer level and GFR24. Huang et al. performed a study on 115 participants and found a significantly elevated D-dimer level in patients with CKD stages 3, 4, and 520.
Mohammed and Khalil performed a study on 49 patients with CKD and found there to be no significant relationship between D-dimer level and the patients' GFR and age. They reported a significant correlation between D-dimer level and CKD duration22.
The present study had some limitations. For example, our sample size was smaller than similar studies due to the limited financial resources. Moreover, some patients refused to participate due to the invasive sampling method used.
Conclusions
According to our results, there was a significant correlation between the serum D-dimer level and the patients' GFR and age in patients with CKD, including those affected by ESRD who underwent hemodialysis. Given the present study results, we recommend setting a GFR-adjusted cut-off for D-dimer testing in patients with GFR <60 ml/min.1.73 m2 to reduce the number of false-positive results. The patients with CKD will be less exposed to imaging modalities with contrast which may lead to contrast-related nephropathy, exacerbating the current renal dysfunction of the patients.
Abbreviations
BMI: Body Mass Index
CKD: Chronic Kidney Disease
ESRD: End-Stage Renal Disease
GFR: Glomerular Filtration Rate
SD: Standard Deviation
VTE: Venous Thromboembolism
Acknowledgments
This article was derived from a research project approved by the Esfarayen University of Medical Sciences, which was conducted with the financial support of this university. The researchers would like to express their gratitude to the University Research Council and all patients, who participated in this study.
Author’s contributions
VS, SK, and NAS developed the original idea and the protocol, abstracted, and prepared the manuscript. SK and VS participated in the study design and analyzed the data. VS, and NAS contributed to the data gathering. All authors read and approved the final manuscript.
Funding
This study was funded by the Hamadan University of Medical Sciences, Iran (Research ID: 9811158772).
Availability of data and materials
Data and materials used and/or analysed during the current study are available The data that support the findings of the study are available from the corresponding author in SPSS form upon reasonable request.
Ethics approval and consent to participate
This study was conducted in accordance with the amended Declaration of Helsinki. Institutional review board approval was obtained from the ethics committees of Hamadan University of Medical Sciences (Ethics code: IR.UMSHA.REC.1398.869), and all participants provided written informed consent.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
-
Kellum
J.A.,
Lameire
N.,
Aspelin
P.,
Barsoum
R.S.,
Burdmann
E.A.,
Goldstein
S.L.,
Kidney disease: improving global outcomes (KDIGO) acute kidney injury work group. KDIGO clinical practice guideline for acute kidney injury. Kidney International. Supplement.
2012;
2
(1)
:
1-138
.
-
Chen
T.K.,
Knicely
D.H.,
Grams
M.E.,
Chronic kidney disease diagnosis and management: a review. Journal of the American Medical Association.
2019;
322
(13)
:
1294-304
.
View Article PubMed Google Scholar -
Romagnani
P.,
Remuzzi
G.,
Glassock
R.,
Levin
A.,
Jager
K.J.,
Tonelli
M.,
Chronic kidney disease. Nature Reviews. Disease Primers.
2017;
3
(1)
:
17088
.
View Article PubMed Google Scholar -
Levey
A.S.,
Becker
C.,
Inker
L.A.,
Glomerular filtration rate and albuminuria for detection and staging of acute and chronic kidney disease in adults: a systematic review. Journal of the American Medical Association.
2015;
313
(8)
:
837-46
.
View Article PubMed Google Scholar -
Renkin
E.M.,
Robinson
R.R.,
Glomerular filtration. The New England Journal of Medicine.
1974;
290
(14)
:
785-92
.
View Article PubMed Google Scholar -
Stevens
L.A.,
Coresh
J.,
Greene
T.,
Levey
A.S.,
Assessing kidney function measured and estimated glomerular filtration rate. The New England Journal of Medicine.
2006;
354
(23)
:
2473-83
.
View Article PubMed Google Scholar -
Inker
L.A.,
Schmid
C.H.,
Tighiouart
H.,
Eckfeldt
J.H.,
Feldman
H.I.,
Greene
T.,
Investigators
CKD-EPI,
Estimating glomerular filtration rate from serum creatinine and cystatin C. The New England Journal of Medicine.
2012;
367
(1)
:
20-9
.
View Article PubMed Google Scholar -
Eknoyan
G.,
Lameire
N.,
Eckardt
K.,
Kasiske
B.,
Wheeler
D.,
Levin
A.,
KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney International.
2013;
3
(1)
:
5-14
.
-
Inker
L.A.,
Grams
M.E.,
Levey
A.S.,
Coresh
J.,
Cirillo
M.,
Collins
J.F.,
Prognosis Consortium
CKD,
Relationship of estimated GFR and albuminuria to concurrent laboratory abnormalities: an individual participant data meta-analysis in a global consortium. American Journal of Kidney Diseases.
2019;
73
(2)
:
206-17
.
View Article PubMed Google Scholar -
Wattanakit
K.,
Cushman
M.,
Chronic kidney disease and venous thromboembolism: epidemiology and mechanisms. Current Opinion in Pulmonary Medicine.
2009;
15
(5)
:
408-12
.
View Article PubMed Google Scholar -
Bounameaux
H.,
de Moerloose
P.,
Perrier
A.,
Reber
G.,
Plasma measurement of D-dimer as diagnostic aid in suspected venous thromboembolism: an overview. Thrombosis and Haemostasis.
1994;
71
(1)
:
1-6
.
View Article PubMed Google Scholar -
Brill-Edwards
P.,
Lee
A.,
D-dimer testing in the diagnosis of acute venous thromboembolism. Thrombosis and Haemostasis.
1999;
82
(2)
:
688-94
.
PubMed Google Scholar -
Bates
S.M.,
Jaeschke
R.,
Stevens
S.M.,
Goodacre
S.,
Wells
P.S.,
Stevenson
M.D.,
Diagnosis of DVT: antithrombotic therapy and prevention of thrombosis: American College of Chest Physicians evidence-based clinical practice guidelines. Chest.
2012;
141
(2)
:
e351-418
.
View Article PubMed Google Scholar -
van Belle
A.,
Büller
H.R.,
Huisman
M.V.,
Huisman
P.M.,
Kaasjager
K.,
Kamphuisen
P.W.,
Christopher Study Investigators
Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. Journal of the American Medical Association.
2006;
295
(2)
:
172-9
.
View Article PubMed Google Scholar -
Stein
P.D.,
Hull
R.D.,
Patel
K.C.,
Olson
R.E.,
Ghali
W.A.,
Brant
R.,
D-dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic review. Annals of Internal Medicine.
2004;
140
(8)
:
589-602
.
View Article PubMed Google Scholar -
Karami-Djurabi
R.,
Klok
F.A.,
Kooiman
J.,
Velthuis
S.I.,
Nijkeuter
M.,
Huisman
M.V.,
D-dimer testing in patients with suspected pulmonary embolism and impaired renal function. The American Journal of Medicine.
2009;
122
(11)
:
1050-3
.
View Article PubMed Google Scholar -
Miozzari
M.,
Wahl
C.,
D-dimers in hemodialysis patients. The Nephron Journals.
2001;
88
(3)
:
278-9
.
View Article PubMed Google Scholar -
Ambühl
P.M.,
Wüthrich
R.P.,
Korte
W.,
Schmid
L.,
Krapf
R.,
Plasma hypercoagulability in haemodialysis patients: impact of dialysis and anticoagulation. Nephrology, Dialysis, Transplantation.
1997;
12
(11)
:
2355-64
.
View Article PubMed Google Scholar -
Milburn
J.A.,
Cassar
K.,
Ford
I.,
Fluck
N.,
Brittenden
J.,
Prothrombotic changes in platelet, endothelial and coagulation function following hemodialysis. The International Journal of Artificial Organs.
2011;
34
(3)
:
280-7
.
View Article PubMed Google Scholar -
Huang
M.J.,
Wei
R.B.,
Wang
Y.,
Su
T.Y.,
Di
P.,
Li
Q.P.,
Blood coagulation system in patients with chronic kidney disease: a prospective observational study. BMJ Open.
2017;
7
(5)
:
e014294
.
View Article PubMed Google Scholar -
Lindner
G.,
Funk
G.C.,
Pfortmueller
C.A.,
Leichtle
A.B.,
Fiedler
G.M.,
Schwarz
C.,
D-dimer to rule out pulmonary embolism in renal insufficiency. The American Journal of Medicine.
2014;
127
(4)
:
343-7
.
View Article PubMed Google Scholar -
Mohammed
N.M.,
Khalil
H.B.,
D-dimer levels in patients presenting chronic kidney disease in Sudan. American Journal of Medicine and Medical Sciences.
2016;
120
:
2-6
.
-
Robert-Ebadi
H.,
Bertoletti
L.,
Combescure
C.,
Le Gal
G.,
Bounameaux
H.,
Righini
M.,
Effects of impaired renal function on levels and performance of D-dimer in patients with suspected pulmonary embolism. Thrombosis and Haemostasis.
2014;
112
(3)
:
614-20
.
PubMed Google Scholar -
Xi
X.,
Potential effect of a renal function adjusted D-dimer cutoff value to improve the exclusion of pulmonary embolism. Chest.
2016;
149
(4)
:
524
.
View Article Google Scholar -
Gubensek
J.,
Lolic
M.,
Ponikvar
R.,
Buturovic-Ponikvar
J.,
D-dimer levels in maintenance hemodialysis patients: high prevalence of positive values also in the group without predisposing diseases. Hemodialysis International. International Symposium on Home Hemodialysis.
2016;
20
(2)
:
198-203
.
View Article PubMed Google Scholar
Comments
Article Details
Volume & Issue : Vol 8 No 11 (2021)
Page No.: 4695-4699
Published on: 2021-11-30
Citations
Copyrights & License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Search Panel
Pubmed
Google Scholar
Pubmed
Google Scholar
Pubmed
Search for this article in:
Google Scholar
Researchgate
- HTML viewed - 9352 times
- PDF downloaded - 1436 times
- XML downloaded - 0 times