|Year : 2020 | Volume
| Issue : 4 | Page : 212-216
Study of microalbuminuria in acute ischemic stroke and its correlation with severity
Dhiraj Kumar Gaurav1, Rupali Malik1, Anita Rani2, Abha Dua1
1 Department of Internal Medicine, VMMC and Safdarjang Hospital, New Delhi, India
2 Department of Biochemistry, VMMC and Safdarjang Hospital, New Delhi, India
|Date of Submission||04-Sep-2020|
|Date of Decision||01-Oct-2020|
|Date of Acceptance||03-Oct-2020|
|Date of Web Publication||02-Dec-2020|
Dr. Rupali Malik
Department of Internal Medicine, VMMC and Safdarjang Hospital, New Delhi - 110 029
Source of Support: None, Conflict of Interest: None
Introduction: With the rising incidence of noncommunicable diseases such as stroke in low- and medium-income countries like India, it has become imperative to identify the potentially modifiable risk factors and focus on prevention. Microalbuminuria (MA) is now gaining recognition as an independent risk factor for ischemic stroke. It has also been studied as a prognostic marker for acute ischemic stroke. Thus, it was intended to study MA in acute ischemic stroke and its correlation with stroke severity. Methods: A single-center case–control study was done after enrolling seventy cases of ischemic stroke with age between 40 and 65 years, satisfying inclusion and exclusion criteria during a span of 2 years. Fifty patients in the age group of 40–65 years with no history of stroke and transient ischemic attack and fulfilling the exclusion criteria were taken as control. All cases were subjected to detailed history, systemic clinical examination, and biochemical and radiological investigations with assessment of National Institutes of Health Stroke Scale (NIHSS) for grading of severity of ischemic stroke with semi-quantitative measurement of MA (urinary albumin: creatinine ratio). Results: Hypertension (62.86%), diabetes mellitus (34.29%), and smoking (27.14%) were found to be the major risk factors for acute ischemic stroke. MA was present in 48.57% of cases, whereas in the control group, MA was present only in 18% of patients. Our study showed MA as an independent risk factor for acute ischemic stroke. On multivariate logistic regression analysis of risk factors of acute ischemic stroke, odd ratio for MA was 4.312 with P = 0.005. In our study, cases with mean NIHSS 17.71 and median NIHSS 18 were positive for MA, while cases with mean NIHSS 13.03 and median NIHSS 12 were negative for MA, that is, cases with higher mean and median NIHSS were positive for MA. This association of MA with NIHSS was statistically significant (P = 0.036). Conclusion: MA was found in approximately half of the patients studied with acute ischemic stroke, and there was a significant association between MA and higher NIHSS.
Keywords: Acute ischemic stroke, microalbuminuria, noncommunicable diseases
|How to cite this article:|
Gaurav DK, Malik R, Rani A, Dua A. Study of microalbuminuria in acute ischemic stroke and its correlation with severity. Indian J Med Spec 2020;11:212-6
|How to cite this URL:|
Gaurav DK, Malik R, Rani A, Dua A. Study of microalbuminuria in acute ischemic stroke and its correlation with severity. Indian J Med Spec [serial online] 2020 [cited 2022 Nov 30];11:212-6. Available from: http://www.ijms.in/text.asp?2020/11/4/212/302077
| Introduction|| |
Stroke is one of the leading causes of death and serious disability in adult individuals worldwide. The age-adjusted prevalence of stroke in rural India is 244–262/100,000 and in urban India is 334–545/100,000, while the incidence is 105–262/100,000.
Ischemic stroke is the most common type of stroke. In India, a pooled data incorporating multiple studies reveal that ischemic stroke occurs in 68%–80% and hemorrhagic stroke in 20%–32%. Ischemic stroke comprise large vessel (41%), lacunar (18%), cardioembolic (10%), other determined (10%), and undetermined (20%) subtypes.
Ischemic stroke is associated with a number of risk factors which can be modifiable or nonmodifiable. Nonmodifiable risk factors include older age, male gender, ethnicity, family history, and prior history of stroke. Modifiable risk factors include arterial hypertension (HTN), cigarette smoking, diabetes mellitus (DM), obesity, oral contraceptive use, dyslipidemia, alcohol consumption, low socioeconomic status, heart disease, asymptomatic carotid artery disease, increased fibrinogen, elevated homocysteine, elevated anticardiolipin antibodies, and sickle cell disease.
The significance of albuminuria as a possible risk factor for cerebrovascular disease in the general population has been suggested.[3-6] Microalbuminuria (MA) is now gaining recognition as an independent risk factor for ischemic stroke. It has also been studied as a prognostic marker for acute ischemic stroke.
MA is excretion of 30–300 mg albumin per day in urine or spot urinary albumin: creatinine ratio (UACR) 30–300 mg/g. Although often seen as a sign of early kidney disease, that is, impairment in glomerular filtration barrier, MA interacts with several conventional vascular risk factors and is an independent marker of endothelial dysfunction. In the Insulin Resistance and Atherosclerosis Study, USA, MA was independently associated with carotid artery intima-media thickness. Carotid intima-media thickness is itself a risk factor for stroke. It has been suggested that a pathophysiological link between MA and atherosclerosis may be mediated through an increased generalized transvascular leakage of albumin, and that this systemic transvascular leakiness may also include lipoproteins, thus allowing for an increased lipid penetration into the vessel walls.
Few studies have been done in India which also show a similar correlation of MA in ischemic stroke. [11,12] Overall, in India, there is a paucity of literature pertaining to MA in acute ischemic stroke and its correlation with severity of stroke. Hence, the present study was undertaken to determine the frequency of MA in acute ischemic stroke and its correlation with the severity of stroke.
| Methods|| |
This was a single-center case–control study. Patients were enrolled after taking informed consent from the patients or family member. Seventy cases of ischemic stroke with age between 40 and 65 years were recruited into the study after satisfying the inclusion and exclusion criteria during a span of 2 years (January 2015–December 2016). Fifty patients of age group 40–65 years with no history of stroke and transient ischemic attack and fulfilling exclusion criteria were taken as control.
Patients of either sex in the age group of 40–65 years, presenting with acute ischemic stroke, were included in the study.
- Renal disease
- Eclampsia and preeclampsia
- Urinary infection
- Rheumatic heart disease
The study samples were recruited from those patients attending a tertiary care hospital to determine the frequency of MA in acute ischemic stroke and to assess the severity of acute ischemic stroke with MA.
The cases were subjected to detailed history and physical examination, laboratory investigation, and noncontrast computed tomography head. The severity of stroke was assessed by National Institutes of Health Stroke Scale (NIHSS)[Table 1]. The NIHSS is a 15-item neurologic examination stroke scale used to evaluate the effect of acute ischemic stroke on the levels of consciousness, language, neglect, visual-field loss, extraocular movement, motor strength, ataxia, dysarthria, and sensory loss that provide a quantitative measure of stroke-related neurologic deficit. Ratings for each item are scored with 3–5 grades, with 0 as normal.
MA was detected by using? AU680 urine auto-analyzer (Beckman Coulter, CA, USA) which gives the outcome value of spot UACR as follows:
- <30 mg/g – normal
- 30–300 mg/g – abnormal
- >300 mg/g – high abnormal.
Because UACR between 30 and 300 mg/g is MA, “abnormal” value of urine analyzer was considered MA.
All the patients were subjected to the following investigations: complete blood count, urine examination, liver/kidney function test, serum electrolytes, fasting and postprandial blood sugar, glycated hemoglobin, where ever indicated, lipid profile, and UACR (albumin in mg % and creatinine in g %). Use of UACR as a measure of MA has been validated against gold standard urinary albumin excretion rate (UAER) measured on timed urine collection with correction coefficients ranging from 0.8 to 0.99, sensitivity 77%to 100%, and specificity 80% to 100% of UACR for UAER in various studies.[14-16]
Electrocardiography and two-dimensional–echocardiography were done in all patients. Chest X-ray and color Doppler were done where ever indicated. All the cases were subjected to noncontrast computerized tomographic scan of head.
Categorical variables were presented in number and percentage (%) and continuous variables were presented as mean ± standard deviation and median. Normality of data was tested by Kolmogorov–Smirnov test. If the normality was rejected, then nonparametric test was used. Quantitative variables were compared using unpaired t-test/Mann–Whitney test (when the data sets were not normally distributed) between the two groups. Qualitative variables were correlated using Chi-square test/Fisher’s exact test. Univariate and multivariate logistic regression analysis was used to find out the risk factors of ischemic stroke and MA in ischemic stroke. P < 0.05 was considered statistically significant. The data were entered in MS EXCEL spreadsheet, and analysis was done using Statistical Package for Social Sciences (SPSS) version 21.0 (IBM SPSS Statistics, IBM Corporation, Armonk, NY).
| Results|| |
There was no significant difference in age distribution among cases and controls. In the case group, majority of the patients were between the age of 50 and 59 years (comprises 38.57%). In the control group, majority of the patients were in age group of 60 years and above (comprises 40%) [Figure 1].
HTN (62.86%), DM (34.29%), and smoking (27.14%) were the major risk factors for acute ischemic stroke. Among cases, 62.86% were hypertensive, whereas among control group, 26% were hypertensive. There was a significant difference of HTN distribution among cases and controls (P < 0.0005). Among cases, 34.29% were diabetic, while among control group, 16% were diabetic, which was statistically significant different (P = 0.026). Among cases, 27.14% were smoker, whereas among the control group, 8% were smoker, which was again statistically significant (P = 0.01). Among cases, 24.29% were dyslipidemic, whereas among the control group, 10% were dyslipidemic, which was statistically significant different (P = 0.046). Obesity was seen in 30% of the cases and 14% of the controls, with a statistically significant difference (P = 0.041).
Univariate logistic regression analysis showed that HTN, DM, smoking, and obesity were significant risk factors for acute ischemic stroke [Table 2]. Multivariate logistic regression analysis showed that HTN, DM, and smoking were significantly associated with acute ischemic stroke [Table 3].
|Table 2: Univariate logistic regression for risk factors of acute ischemic stroke|
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|Table 3: Multivariate logistic regression for risk factors of acute ischemic stroke|
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MA was present in 48.57% cases, whereas in the control group, MA was present only in 18% of patients. Statistical analysis showed a significant difference of MA distribution among case and control groups (P = 0.001). MA was more prevalent in older age group (P = 0.003). The correlation between risk factors of ischemic stroke such as HTN, diabetes, smoking, and obesity with MA was insignificant.
In our study, multivariate logistic regression analysis showed that MA was an independent risk factor for acute ischemic stroke (P = 0.005). Univariate logistic regression for risk factors of MA in acute ischemic stroke showed that only age was statistically significantly associated with MA (P = 0.006) [Table 4] and [Figure 2].
|Table 4: Univariate logistic regression for risk factors of microalbuminuria in acute ischemic stroke|
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MA was present in 3 out of 8 patients belonging to minor stroke severity (on NIHSS), 8 out of 24 (33.3%) of moderate severity, 14 out of 22 (63.6%) of severe, and 9 out of 16 (56.2%) of very severe category. The average NIHSS score in stroke patients with MA was 17.71 ± 9.43 compared to 13.03 ± 8.84 in stroke patients without microalbuminuria (P = 0.036).
| Discussion|| |
This study was conducted to study MA in acute ischemic stroke and its correlation with severity. We found HTN (present in 62.86% cases) to be the major risk factor for acute ischemic stroke, similar to previous literature.[17-20] These studies have also shown the frequency of HTN in stroke in India to vary between 48% and 83.2%. Arterial HTN predisposes to ischemic stroke by aggravating atherosclerosis and accelerating heart disease, increasing the relative risk for stroke to an estimated three- to fourfolds.
Two other major risk factors are diabetes (34.29%) and smoking (27.14%).
Previous studies [17, 19, 20] have also shown that DM and tobacco intake increase the risk of ischemic cerebrovascular disease. These studies have shown that the frequency of diabetes and tobacco intake in stroke in India varies between 25.42% and 50% and between 26.8% and 33.15%, respectively. The mechanisms of stroke secondary to diabetes may be caused by cerebrovascular atherosclerosis and cardiac embolism.
The risk for stroke in smokers is two to three times greater than that in nonsmokers possibly through enhanced atherosclerosis, arterial spasm, and increased coagulability.
There was a significant difference of dyslipidemia distribution and obesity as well among cases and controls (P = 0.046).
In our study, in the case group MA was present in 48.57% of patients, whereas in the control group, MA was present only in 18% of patients. Statistical analysis showed a statistically significant difference of MA distribution among case and control groups (P = 0.001). This is similar to the results of several previous studies.[21-26] Turaj et al. reported that MA was found in 46.1% of acute stroke patients and 13.5% in controls. Słowik et al. reported that MA was found in 46.7% of patients with acute stroke and 16.7% of controls.
In our study, multivariate logistic regression analysis showed that MA was an independent risk factor for acute ischemic stroke (P = 0.005). Thus, our finding has similar association as described by several previous literature.[24-30]
Cases with a mean age of 57.94 years and a median age of 59.5 years were positive for MA. Cases with a mean age of 52.97 years and a median age of 54.5 years were negative for MA. Nearly 65.38% of cases with age 60 years and above were positive for MA, whereas only 23.53% cases in the age group of 40–49 years were positive for MA. This difference of MA distribution among different age groups was statistically significant (P = 0.003).
In our study, univariate logistic regression for risk factors of MA in acute ischemic stroke showed that only age was statistically significantly associated with MA (P = 0.006). Previous studies have also showed correlation of MA with age. [7,11] Gumbinger et al. found a significant association of MA with higher age (mean age of MA positive group was 72.4 ± 10.4 years and MA negative group was 66.1 ± 11.1 years) (P = 0.003). Mathur et al. found that MA was present more often in patients aged more than 60 years than in patients aged 60 years or less; 80.76% versus 54.16% (P < 0.05).
Among cases, 60.71% of females were positive for MA, whereas 40.48% of male were positive for MA. This difference was not statistically significant (P = 0.097). Previous study done by Mathur et al. did not find any difference between patients with and without MA according to gender.
Overall, MA was present in 48.57% of cases. Nearly 37.50% of minor stroke cases, 33.33% of moderate stroke cases, 56.25% of severe stroke cases, and 56.25% of very severe stroke cases were positive for MA. In our study, cases with mean NIHSS 17.71 and median NIHSS 18 were positive for MA, whereas cases with mean NIHSS 13.03 and median NIHSS 12 were negative for MA, that is, cases with higher mean and median NIHSS were positive for MA. This association of MA with NIHSS was significant (P = 0.036). Thus, our finding has similar association as described by previous studies. [7,21-23, 26, 31-33] Gumbinger et al. found that MA was associated with NIHSS upon admission (eight in MA-positive group and four in MA-negative group) (P < 0.0001) and NIHSS upon discharge (five in MA-positive group and one in MA-negative group) (P < 0.0001). Das et al. had reported mean NIHSS score 29.12 versus 18.88 between two groups of strokes, that is, with and without MA. Chowdhury et al. had reported significantly higher mortality in patients with MA than that of patients without MA.
Our study showed a correlation of MA with age, but no correlation with other risk factors of stroke, probably due to small sample size.
Our study showed correlation between the presence of MA and clinical severity of acute ischemic stroke. The pathophysiological mechanism is still unclear. A plausible explanation for our findings is that MA is a marker of endothelial dysfunction and plays an important role in the inflammatory response in the acute phase of a vascular event. [7, 24, 34]
Our study has some limitations. First, there is lack of follow-up. Second, MA was measured by a semi-quantitative method; for better correlation, MA should be measured quantitatively. Third, our study did not have consecutive recruitment of patients (as patients with age below 40 years and above 65 years were excluded) and the number of patients included was relatively small.
| Conclusion|| |
Our study has found MA as an independent marker of acute ischemic stroke with a prevalence of 48.57%. It also correlates with the clinical severity of stroke. Those with a higher NIHSS score had a higher rate of urine albumin excretion and vice versa. Measurement of MA may thus help to assess those who are at increased risk and to triage those who may need a more aggressive management protocol.
Although the results of our study need to be confirmed in a larger cohort, we believe that further studies should investigate whether MA is only a biomarker of severity of stroke or a potential modifiable risk factor for stroke.
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Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3], [Table 4]