Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Book Review
Brief Report
Case Letter
Case Report
Case Series
Commentary
Current Issue
Editorial
Erratum
Guest Editorial
Images
Images in Neurology
Images in Neuroscience
Images in Neurosciences
Letter to Editor
Letter to the Editor
Letters to Editor
Letters to the Editor
Media and News
None
Notice of Retraction
Obituary
Original Article
Point of View
Position Paper
Review Article
Short Communication
Systematic Review
Systematic Review Article
Technical Note
Techniques in Neurosurgery
View/Download PDF

Translate this page into:

Original Article
15 (
1
); 42-46
doi:
10.25259/JNRP_342_2023

Sequential carotid Doppler study in acute stroke and its clinical correlation: A prospective study

Department of Neurology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Department of Radiodiagnosis, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

*Corresponding author: Dr. Dinkar Kulshreshtha, Additional Professor, Department of Neurology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India. kulshred@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Karn AK, Narayan S, Qavi A, Maurya PK, Singh A, Kulshreshtha D. Sequential carotid Doppler study in acute stroke and its clinical correlation: A prospective study. J Neurosci Rural Pract. 2024;15:42-6. doi: 10.25259/JNRP_342_2023

Abstract

Objectives:

Resistive index (RI) and pulsatility index (PI) assessed on carotid Doppler assess the hemodynamic status of cranial vasculature. They are related to the severity of stroke and help determine the overall outcome. This study was done to compare the hospital stay and stroke severity with RI and PI of both internal carotid arteries.

Materials and Methods:

Patients >18 years of age presenting within 48 h of anterior circulation stroke (either ischemic or hemorrhagic) were included. They were divided into two groups based on their length of stay (LOS). They were assessed clinically on days 1, 3, and 5, and underwent a carotid Doppler study on the same days. The Doppler parameters were correlated with the LOS and stroke severity for possible associations.

Results:

One hundred and one patients were included. Forty-seven patients had a favorable outcome based on LOS. In this group, significant decrease in RI and PI scores was seen from days 1 to 3. In patients with unfavorable outcome, there was a significant increase in PI on days 1–3 and days 1–5. The National Institutes of Health Stroke Scale decreased significantly from days 1 to 5 in favorable group

Conclusion:

For those with an unfavorable outcome and prolonged LOS, PI continues to increase suggesting a failure of autoregulation. Carotid Doppler can be a simple bedside tool to predict outcome in patients with acute stroke.

Keywords

Stroke
Carotid Doppler
Resistive index
Pulsatility index
National Institutes of Health Stroke Scale
Length of stay

INTRODUCTION

Cerebrovascular accidents (stroke) constitute a major health issue and are the second most common cause of morbidity and the leading cause of disability worldwide.[1] With increasing life expectancy in the developing world, there is an increase in age-related non-communicable diseases, making stroke as the fourth leading cause of death in our country.[2-4] Severity of stroke is objectively quantified by the National Institutes of Health Stroke Scale (NIHSS) and is a major predictor of length of stay (LOS).[5] LOS >7 days defined as a longer stay depends on the provision of acute stroke care, and preventing complications, which is generally achieved within the 1st week of the event.[6] The physiological mechanisms involved in maintaining a constant cerebral blood flow (CBF) and thus, preventing hypo- or hyper-perfusion with changes in cerebral perfusion pressure is disrupted after stroke.[7] This impaired cerebral autoregulation (CA) has been noted in patients with both ischemic and hemorrhagic strokes.[7] Dynamic cerebral CA (DCA), the active response of cerebral vessels to blood pressure fluctuations, is also impaired after acute stroke. This jeopardizes the CBF and renders the brain to further injury from edema and hemorrhagic conversion.[8] DCA can be assessed noninvasively by transcranial Doppler (TCD) sonography that studies spontaneous fluctuations in CBF and blood pressure.[9] DCA is known to worsen for the first few days after an ischemic stroke. It has been seen to be proportionate to the infarct volume and is associated with a poor outcome.[10]. Likewise, carotid Doppler is a noninvasive simple, accurate, and reproducible method to assess carotid arteries for evaluating blood flow.[11,12] It measures peak systolic velocity (PSV), end diastolic velocity (EDV), mean flow velocity (MFV), and peak diastolic velocity which measure the resistive index (RI) and pulsatility index (PI), the most practical parameters for assessing hemodynamic status of the common carotid artery, internal carotid artery (ICA), extracranial carotid artery, vertebral artery, and ophthalmic artery.[13] PI assesses vascular resistance and is considered a marker of small vessel disease and microangiopathic changes in the brain,[14,15] whereas RI relates to the vessel wall elasticity.[16] The normal values for PI and RI are typically <1.2 and <0.7, respectively.[17] Assessment of PSV, PI, and RI can provide important information for making therapeutic decisions and help as a prognostic tool in predicting functional outcomes in patients of ischemic stroke or after carotid interventions.[11,18-20] These parameters are related to the NIHSS in a direct relation and can predict the LOS in patients with acute ischemic stroke and hence predict the functional and prognostic outcome in such patients. The present study was done to compare NIHSS, RI, and PI of both ipsilateral and contralateral ICA with the type of stroke (ischemic or hemorrhagic) and duration of hospital stay.

MATERIALS AND METHODS

The present study was conducted at Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, a tertiary care referral teaching institute, from February 2020 to July 2021. Patients above 18 years of age who came to the hospital within 48 h of anterior circulation stroke (either ischemic or hemorrhagic) were included in the study. Those coming in the window period were taken up for stroke intervention and excluded. Furthermore, we excluded patients with renal or hepatic failure and those coming with severe cardiorespiratory distress and requiring mechanical ventilation soon after admission.

Patients fulfilling the selection criteria were assessed clinically with NIHSS on days 1, 3, and 5. Carotid Doppler done by an ultrasonologist, blinded to the study, measured ICA Doppler parameters (RI and PI) for both Ipsilateral and Contralateral ICAs on days 1, 3, and 5. Patients were divided into two groups based on their LOS. Patients with LOS <7 days were taken as favorable outcome and those with LOS ≥7 days were grouped as unfavorable outcome.

Duplex Doppler sonography was done using Mindray Ultrasonography machine with 7 megahertz array transducers. Both ipsilateral and contralateral ICAs were scanned following the standard carotid sonography protocol.[21] Patients were examined in the supine and semi-supine positions with the head slightly rotated to the opposite side. Spectral Doppler scanning was performed to measure the RI and PI of the ICA. The velocity of blood flow was measured in the proximal ICA with a Doppler angle of <60°. RI and PI were calculated from the difference in the systolic and diastolic velocities divided by the MFV and PSV, respectively.[11]

PI = (PSV–EDV)/MFV

RI = (PSV–EDV)/PSV

NIHSS was used as a measure of severity of stroke with higher scores indicating a poor neurological status and severe deficits.[22]

Statistical analysis

Data were analyzed using SPSS software. Mean and standard deviation were computed for all quantitative variables for all the 3 days for both the groups. An unpaired t-test was used to find the association between LOS and other variables. P < 0.05 was considered statistically significant.

RESULTS

One hundred and one patients were included in the study. There were 55 males and 46 females with 65 ischemic and 36 hemorrhagic strokes. Forty-seven patients had a LOS of <7 days (38 ischemic and 9 hemorrhagic stroke) whereas 54 patients had a prolonged LOS of >7 days (27 patients each with ischemic and hemorrhagic stroke). Four patients succumbed to the illness and 97 were discharged in a stable condition.

Comparison of Doppler parameters for ipsilateral ICA for the two groups

For patients having LOS <7 days (n = 47), we found that there was a significant decrease in RI score from days 1 to 3 and a non-significant decrease from days 1 to 5. However, PI score decreased from days 1 to day 3, it showed an increase from days 1 to 5, though the differences were not significant [Table 1]. For patients having LOS ≥7 days (n = 54), we found that PI scores significantly increased from days 1 to 3 and from days 1 to 5 [Table 1].

Table 1: Change in RI and PI for patients with favorable (LOS <7 days) and unfavorable outcome (LOS>7 days).
Index Mean change SD t P-value
Favorable outcome (LOC <7 days)
  RI change day 1–3 −0.040 0.102 −2.577 0.010
  RI change day 1–5 −0.004 0.077 −0.396 0.694
  PI change day 1–3 −0.044 0.325 −0.929 0.358
  PI change day 1–5 0.022 0.271 0.555 0.582
Unfavorable outcome (LOC >7 days)
  RI change day 1–3 0.011 0.085 0.991 0.326
  RI change day 1–5 0.001 0.089 0.076 0.940
  PI change day 1–3 0.143 0.449 2.341 0.023
  PI change day 1–5 0.116 0.396 2.145 0.037

LOS: Length of stay, LOC: Length of care, RI: Resistive index, PI: Pulsatility index, SD: Standard deviation. P<0.05

In patients with a favorable outcome, RI decreased significantly from days 1 to 3 in ischemic stroke patients whereas all other changes were non-significant. In both ischemic and hemorrhagic strokes, the PI increased non-significantly from days 1 to 5 [Table 2]. In patients with an unfavorable outcome, there was a significant increase in PI in days 1–3 and days 1–5 in ischemic and hemorrhagic stroke, respectively [Table 2]. In patients with hemorrhagic stroke, the RI score showed a significant increase from days 1 to 3 (mean change 0.188, P = 0.046) but decreased from days 1 to 5.

Table 2: Change in RI, PI for patients having favorable (LOS <7 days) and unfavorable outcome (LOC >7 days) in ischemic and hemorrhagic subgroups.
Index Mean change SD t P-value
Favorable outcome (LOC <7 days)
  Ischemic stroke RI change day 1–3 −0.045 0.018 −2.517 0.016
  Ischemic stroke RI change day 1–5 −0.004 0.012 −0.337 0.738
  Ischemic stroke PI change day 1–3 −0.043 0.056 −0.778 0.441
  Ischemic stroke PI change day 1–5 0.020 0.042 0.483 0.632
  Hemorrhagic stroke RI change day 1–3 −0.019 0.059 −0.953 0.369
  Hemorrhagic stroke RI change day 1–5 −0.006 0.084 −0.199 0.847
  Hemorrhagic stroke PI change day 1–3 −0.047 0.246 −0.570 0.584
  Hemorrhagic stroke PI change day 1–5 0.029 0.336 0.258 0.803
Unfavorable outcome (LOC >7 days)
  Ischemic stroke RI change day 1–3 0.012 0.091 0.679 0.503
  Ischemic stroke RI change day 1–5 0.007 0.111 0.346 0.732
  Ischemic stroke PI change day 1–3 0.188 0.465 2.100 0.046
  Ischemic stroke PI change day 1–5 0.084 0.447 0.982 0.335
  Hemorrhagic stroke RI change day 1–3 0.011 0.081 0.713 0.482
  Hemorrhagic stroke RI change day 1–5 −0.006 0.061 −0.471 0.642
  Hemorrhagic stroke PI change day 1–3 0.098 0.436 1.169 0.253
  Hemorrhagic stroke PI change day 1–5 0.147 0.343 2.220 0.035

LOS: Length of stay, LOC: Length of care, RI: Resistive index, PI: Pulsatility index, SD: Standard deviation. P<0.05

There was no statistically significant difference on the comparison of Doppler parameters for ipsilateral and contralateral ICA in the two groups of patients with ischemic stroke.

Comparison of NIHSS score in the two groups

NIHSS decreased in both favorable and unfavorable groups from days 1 to 3 and days 1 to 5, with a significant decrease in NIHSS in the favorable group (P = 0.010). The decrease in NIHSS on day 5 compared to day 1 was highly significant in patients with ischemic stroke (mean change −0.447, P = 0.008) as compared to hemorrhagic stroke (mean change −0.370, P = 0.096).

DISCUSSION

In this study, we evaluated the association of changes in physiological parameters of ICA and NIHSS score with LOS in hospital as a prognostic marker in patients presenting with acute stroke. We found that the markers of peripheral arterial resistance and blood vessel elasticity, PI and RI, decreased over the 5 days in patients with shorter stay compared to an increase in PI in those with prolonged LOS. Although, not all the parameters reached a statistical significance, our findings do indicate that patients with favorable outcomes had reduced peripheral resistance due to reperfusion which led to a decrease in RI. PI showed initial lowering, suggesting dysautoregulation that showed a gradual recovery by the 5th day of ictus. Likewise, in those with a shorter stay, the NIHSS decreased significantly over 5 days, a marker of clinical improvement.

PI is a marker of increased vascular resistance caused by small vessel disease.[23] Higher PI is most likely associated with an increase in intracranial pressure and is an independent determinant of volume of infarct in acute stroke.[24,25] Increase in RI >0.70 and PI >1.35 in the middle cerebral artery (MCA) are prognostic indicators of unfavorable outcome in ischemic stroke.[1] Soon after stroke, pathophysiological abnormalities in cerebral microcirculation have been postulated to account for the high PI values in large strokes carrying a poor prognosis. Little et al. demonstrated that endothelium and astrocyte end feet get swollen in ischemic stroke.[26] In addition, despite attempts at reperfusion, the capillary beds narrow segmentally by contraction of pericytes, preventing passage of blood cells, as shown by Yemisci et al.[27] RI relates to elasticity or extensibility of the vessel and its related vascular resistance.[16] Tagelsir et al. found a significant increase in RI on carotid Doppler study in fifty Sudanese patients with acute stroke.[16] Similarly, Staub et al., in a prospective study of 146 patients with cardiovascular risk factors followed up for a median 36 months, showed a direct correlation between RI and intima–media thickness (IMT) of the CCA and ICA and cardiovascular and cerebrovascular events in these patients.[28] They concluded that like IMT, RI is an indicator of the vessel wall status and can be a predictive marker of stroke. Lin et al. studied 67 ischemic stroke patients, who underwent carotid stenting and found that contralateral ICA RI was the most important indicator for differentiating between patients showing good improvement as against those with static symptoms as measured on modified Rankin score.[29] We found no statistically significant difference between ipsilateral and contralateral Doppler parameters in the two groups. El Khatib and El Ahwal, contrary to our findings, found a significant difference in the hemodynamic parameters in both ipsilateral and contralateral MCA on 100 patients of acute ischemic stroke.[19] Similarly, Reinhard et al. demonstrated that in large infarcts, deterioration in autoregulation is more on ipsilateral side.[30] They used TCD to look at the hemodynamic parameters of the MCA. Our findings were restricted to the neck vessels that probably account for the difference in our findings. NIHSS was seen to decrease in both our groups, but in those with a favorable outcome, the decrease was consistent and statistically significant. Similar findings were observed by Dawodu and Danesi, in their study on patients with ischemic stroke.[31] LOS is most closely and directly related to the severity of stroke as measured clinically by NIHSS. Koton et al. showed that in patients with a NIHSS of 16–20, the LOS was prolonged by 5 times than those with an NIHSS of 5 or less.[5]

In our study, patients with a favorable outcome showed a sequential decrease in RI values on days 3 and 5 in ipsilateral ICA whereas PI showed an initial lowering followed by recovery on day 5. For patients having an unfavorable outcome, PI continued to increase on days 3 and 5 probably suggesting a failure of autoregulation.

Our study has a few limitations. The sample size was small and hence an absolute cutoff value of PI and RI could not be determined in this small cohort. A larger study with both ischemic and hemorrhagic strokes with a good follow-up is worthwhile to come to definite standardized values for these predictive markers. Patients were assessed on NIHSS and LOS was determined based only on this clinical indicator. However, in acute stroke, metabolic and septic complications, especially in the acute period, are well-known and these could have been confounders in our study.

CONCLUSION

In patients with acute cerebrovascular events, measuring the hemodynamic parameters in the ICA using a carotid Doppler as a non-invasive, widely available, bedside reproducible tool can help prognosticating patients. For those with an unfavorable outcome and prolonged LOS, PI continues to increase on days 3 and 5, suggesting a failure of autoregulation. This study supports the notion that in addition to NIHSS, a simple objective bedside carotid Doppler study can be a predictor of outcome in patients with acute cerebrovascular episodes.

Ethical approval

The author(s) declare that they have taken the ethical approval from IRB/IEC.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship

Nil.

References

  1. , , . Transcranial dopplerography in acute left-hemispheric ischemic stroke. J Brain Neurol. 2018;2:8-13.
    [Google Scholar]
  2. , . Indian health: The path from crisis to progress. Lancet. 2011;377:181-3.
    [CrossRef] [PubMed] [Google Scholar]
  3. , , , . UN millennium development goals: Can we halt the stroke epidemic in India? Ann Indian Acad Neurol. 2007;10:130.
    [CrossRef] [Google Scholar]
  4. . National programme for prevention and control of cancer, diabetes, cardiovascular diseases and stroke. . Government of India. Available from: https://main.mohfw.gov.in/majorprogrammes/non-communicable-diseases-injury-trauma/non-communicable-disease-ii/national-programmefor-prevention-and-control-of-cancer-diabetescardiovascular-diseases-and-stroke-npcdcs [Last accessed on 2019 Sep 21]
    [Google Scholar]
  5. , , , , . Derivation and validation of the prolonged length of stay score in acute stroke patients. Neurology. 2010;74:1511-6.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , . Optimizing discharge planning: Clinical predictors of longer stay after recombinant tissue plasminogen activator for acute stroke. Stroke. 2005;36:147-50.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , , , et al. Dynamic cerebral autoregulation is an independent functional outcome predictor of mild acute ischemic stroke. Stroke. 2018;49:2605-11.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , . Dynamic cerebral autoregulation is transiently impaired for 1 week after large-vessel acute ischemic stroke. Cerebrovasc Dis. 2015;39:144-50.
    [CrossRef] [PubMed] [Google Scholar]
  9. . Transcranial Doppler for evaluation of cerebral autoregulation. Clin Auton Res. 2009;19:197-211.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , . Cerebral autoregulation in acute ischemic stroke. Perspect Med. 2012;1:194-7.
    [CrossRef] [Google Scholar]
  11. , , , , , . Carotid duplex parameters to predict long term outcomes of ischemic stroke patients receiving intra-arterial thrombectomy treatment. Medicine (Baltimore). 2019;98:e15734.
    [CrossRef] [PubMed] [Google Scholar]
  12. , , , . The use of diagnostic tests in patients with acute ischemic stroke. J Stroke Cerebrovasc Dis. 2009;18:178-84.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , . Appraisal of different ultrasonography indices in patients with carotid artery atherosclerosis. EXCLI J. 2017;16:727-41.
    [Google Scholar]
  14. , , , , . Arterial pulsatility as an index of cerebral microangiopathy in diabetes. Stroke. 2000;31:1111-5.
    [CrossRef] [PubMed] [Google Scholar]
  15. , , , , , , et al. Central aortic pressure and pulsatility index in acute ischemic stroke. J Neuroimaging. 2015;25:438-42.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , , , , . Doppler sonographic assessment of carotid arteries in Sudanese stroke patients. Brain Circ. 2017;3:114-20.
    [CrossRef] [PubMed] [Google Scholar]
  17. , , , , . Comparison of carotid arterial resistive indices with intima-media thickness as sonographic markers of atherosclerosis. Stroke. 2001;32:836-41.
    [CrossRef] [PubMed] [Google Scholar]
  18. , , , . Effect of hypertension on the carotid artery intima media thickness (IMT) in patients with Type 2 diabetes mellitus-across sectional study. Int J Diabetes Res. 2014;3:66-70.
    [Google Scholar]
  19. , . Duplex ultrasonography as prognostic tool of acute ischemic stroke patients. Egypt J Neurol Psychiatry Neurosurg. 2021;57:75.
    [CrossRef] [Google Scholar]
  20. , , , , , , et al. The evolving role of transcranial Doppler in stroke prevention and treatment. J Stroke Cerebrovasc Dis. 1998;7:101-4.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , . Three-dimensional ultrasound imaging for the evaluation of carotid atherosclerosis. Atherosclerosis. 2011;219:377-83.
    [CrossRef] [PubMed] [Google Scholar]
  22. , , , , , , et al. National institutes of health stroke scale: An alternative primary outcome measure for trials of acute treatment for ischemic stroke. Stroke. 2020;51:282-90.
    [CrossRef] [PubMed] [Google Scholar]
  23. , , , , , . Transcranial Doppler pulsatility indices as a measure of diffuse small-vessel disease. J Neuroimaging. 2001;11:229-35.
    [CrossRef] [PubMed] [Google Scholar]
  24. , , , , , , et al. The effect of pulsatility index on infarct volume in acute lacunar stroke. Yonsei Med J. 2016;57:950-5.
    [CrossRef] [PubMed] [Google Scholar]
  25. , . Relationship between pulsatility index and clinical course of acute ischemic stroke after thrombolytic treatment. Biomed Res Int. 2013;2013:265171.
    [CrossRef] [PubMed] [Google Scholar]
  26. , , . Microcirculatory obstruction in focal cerebral ischemia. Relationship to neuronal alterations. Mayo Clin Proc. 1975;50:264-70.
    [Google Scholar]
  27. , , , , , . Pericyte contraction induced by oxidativenitrative stress impairs capillary reflow despite successful opening of an occluded cerebral artery. Nat Med. 2009;15:1031-7.
    [CrossRef] [PubMed] [Google Scholar]
  28. , , , , . Prediction of cardiovascular morbidity and mortality: Comparison of the internal carotid artery resistive index with the common carotid artery intima-media thickness. Stroke. 2006;37:800-5.
    [CrossRef] [PubMed] [Google Scholar]
  29. , , , , , . Is carotid sonography a useful tool for predicting functional capabilities in ischemic stroke patients following carotid artery stenting? Medicine (Baltimore). 2017;96:e6363.
    [CrossRef] [PubMed] [Google Scholar]
  30. , , , , , , et al. Dynamic cerebral autoregulation associates with infarct size and outcome after ischemic stroke. Acta Neurol Scand. 2012;125:156-62.
    [CrossRef] [PubMed] [Google Scholar]
  31. , . Relationship of national institute of health stroke scores [NIHSS] to 90 days mortality in Africa. Niger Postgrad Med J. 2008;15:259-63.
    [CrossRef] [Google Scholar]
Show Sections