metricas
covid
Buscar en
Clinics
Toda la web
Inicio Clinics The etiologies of post-stroke depression: Different between lacunar stroke and n...
Información de la revista
Vol. 77.
(enero - diciembre 2022)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
1730
Vol. 77.
(enero - diciembre 2022)
Original articles
Acceso a texto completo
The etiologies of post-stroke depression: Different between lacunar stroke and non-lacunar stroke
Visitas
1730
Ke-Wu Wanga, Yang-Miao Xua, Chao-Bin Loua, Jing Huangb, Chao Fenga,
Autor para correspondencia
8013010@zju.edu.cn

Corresponding author.
a The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China
b Shanghai Xuhui Central Hospital, Shanghai, China
Highlights

  • The main determinants for depression after lacunar and non-lacunar stroke were different.

  • Infarctions in the frontal cortex were significantly associated with post-stroke depression.

  • For patients of lacunar stroke, the location of the infarction was not associated with the presence of post-stroke depression.

Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (1)
Tablas (4)
Table 1. Characteristics of patients with lacunar stroke.
Table 2. Risk factors for the occurrence of PSD among patients with lacunar stroke.
Table 3. Characteristics of patients with non-lacunar stroke.
Table 4. Risk factors for the occurrence of PSD among patients with non-lacunar stroke.
Mostrar másMostrar menos
Abstract
Objectives

Depression is common after both lacunar stroke and non-lacunar stroke and might be associated with lesion locations as proven by some studies. This study aimed to identify whether lesion location was critical for depression after both lacunar and non-lacunar strokes.

Methods

A cohort of ischemic stroke patients was assigned to either a lacunar stroke group or a non-lacunar stroke group after a brain MRI scan. Neurological deficits and treatment response was evaluated during hospitalization. The occurrence of depression was evaluated 3 months later. Logistic regressions were used to identify the independent risk factors for depression after lacunar and non-lacunar stroke respectively.

Results

83 of 246 patients with lacunar stroke and 71 of 185 patients with non-lacunar stroke developed depression. Infarctions in the frontal cortex, severe neurological deficits, and a high degree of handicap were identified as the independent risk factors for depression after non-lacunar stroke, while lesion location was not associated with depression after lacunar stroke.

Conclusion

The main determinants for depression after lacunar and non-lacunar stroke were different. Lesion location was critical only for depression after non-lacunar stroke.

Keywords:
Post-stroke depression
Lesion location
Lacunar stroke
Non-lacunar stroke
Abbreviations:
PSD
WMH
SBI
GDS
LSNS
mRS
NIHSS
DSM
Texto completo
Introduction

Post-Stroke Depression (PSD) is a common consequence after a stroke, with its prevalence of more than 30% as reported.12 PSD has been proven to be associated with poor response to rehabilitation, poor quality of life, and high mortality,3–5 with the pathogenesis not clearly elucidated. Among the various factors related to PSD, lesion laterality and locations, accumulation of silent lesions, stroke severity and psychosocial factors were most frequently mentioned.6–8 However, discrepancy about the specific etiology of PSD especially on the role of lesion laterality and location is prominent among different studies. For example, Machale, et al. and Castellanos-Pinedo, et al. both reported that infarctions involving the right cerebral hemisphere were more significantly associated with PSD,910 while some other researchers such as Terroni, et al. and Hama S, et al. found that lesions in the left prefrontal cortex were related to PSD.1112 Until now, there is no conclusion about the association between PSD and lesion location.1314 The different methodologies might be one reason for the discrepancy. Meanwhile, the authors noticed that few studies made a detailed analysis of the etiologies of depression after different subtypes of stroke, such as lacunar and non-lacunar stroke, which were quite different in lesion location, lesion size,15 neurological dysfunction, and functional outcome,16 yet were similar in the prevalence of PSD.1718 It's possible that the significance of lesion location and the specific lesion location related to PSD might be different between the two subtypes of stroke. In order to test this hypothesis, the authors investigated a cohort of stroke patients and tried to make a detailed analysis of the etiologies of depression after lacunar and non-lacunar stroke respectively.

Materials and methodsSubjects

From May 2018 to July 2020, 544 patients with first-ever acute ischemic stroke who attended to the Shanghai Xuhui Central Hospital were consecutively enrolled into the study cohort if the patient met all the criteria: 1) Having the will and ability to give consent to this study; 2) Age more than 18 years old; 3) Being able to undergo MR scan and other clinical evaluation. Patients with the following conditions were excluded: 1) Previous history of ischemic or hemorrhagic stroke; 2) Brain tumor, Parkinson's disease, or other central nervous system diseases; 3) History of depression, anxiety, or drug dependence; 4) Moderate or severe cognitive dysfunction, with a Mini-Mental State Examination (MMSE) score lower than 18; 5) Severe communication problems including severe aphasia or dysarthria; 6) Undergoing thrombolytic therapy or endovascular treatment. Among the 544 patients enrolled, 63 patients were lost to follow-up because of death, movement, or other unknown reasons, and 50 patients had a recurrent stroke or developed severe complications including poor-controlled infection, cardiac arrest, heart failure, and renal failure within the three months after the index stroke, thus were not analyzed in this study. The sample size was calculated to be 530 based on a 30% prevalence of PSD, 95% Confidence Interval, a 2.5% estimation error, and a 20% percentage of loss in follow-up (calculator on medsci.cn). This study was proved by the Ethics Committee of the Shanghai Xuhui Central Hospital, with written consent form participants or their family members.

Demographic and clinical data

The following information was collected during hospitalization: sex, age, education years, the prevalence of hypertension and diabetes, MMSE scores. Neurological deficits were evaluated at admission and 7th day of hospitalization according to the National Institutes of Health Stroke Scale (NIHSS). An NIHSS score on the 7th day not lower than that at admission was defined as an unfavorable treatment effect. Before discharge, patients were given individualized rehabilitation treatment plans by a rehabilitation therapist.

Radiological examination

Subjects were scanned mostly by a 1.5 T scanner (Philips, Netherlands), and partly by a 3.0 T scanner (Siemens, Germany). The MRI protocol consisted of a T1-weighted image (Repetition Time/Echo Time ‒ TR/TE = 101/1.92 for 1.5 T, 2000/9 for 3.0 T scanner), Fluid Attenuated Inversion Recovery images (FLAIR) (TR/TE = 6000/110 for 1.5 T, 8500/94 for 3.0 T scanner), and Diffusion-Weighted Images (DWI) (TR/TE = 3393/86 for 1.5 T, 6000/94 for 3.0 T scanner) in the axial plane, as well as a T2-weighted image (TR/TE = 1940/120 for 1.5 T, 4540/96 for 3.0 T scanner) in the sagittal plane with 16 layers.

All images were assessed by two radiologists blind to the clinical information. The discrepancy was resolved by a visual consensus. The diagnosis of ischemic stroke was based on the acute neurological symptoms and the visible infarcts on MRI with hyperintense on DWI (Fig. 1). Lacunar stroke was defined as single or multiple acute ischemic infarcts in the perforating-artery territories or subcortical regions, with the longest diameter less than 20 mm on DWI,1920 otherwise the patients were deemed to have a non-lacunar stroke. According to the specific diagnosis, patients were assigned to either lacunar stroke group or the non-lacunar stroke group.

Fig. 1.

The acute infarctions of two patients of PSD on DWI. Left: A 63-year-old female, she was admitted because of right limb weakness and aphagia with NIHSS score 3. The brain MRI showed acute infarction in left frontal lobe. After hospitalization for 7 days, she was discharged with a NIHSS score 2. Three months later she had no obvious functional impairment but had a GDS score 9 and was identified to have PSD. Right: A 54-year-old male, he was admitted because of weakness and numbness of left limb with NIHSS score 3. The brain MRI showed acute lacunar infarction in right basal ganglia. During hospitalization he didn't react well to the treatment and had neurological deterioration with NIHSS score 5 at the 7th day of hospitalization. Three months later he had a GDS score 10 and was identified to have PSD.

(0.16MB).

The presence of silent lesions including White Matter Hyperintensities (WMH) and Silent Brain Infarctions (SBI) were also evaluated. WMH was defined as focal or confluent hyperintensities in the deep or periventricular area on FLAIR images.2122 Periventricular WMH (PWMH) and Deep WMH (DWMH) were respectively graded as 0 to 3 according to Fazekas’ scale.23 Infarcts with a > 3 mm-diameter, hypointense on T1-weighted images, and hyperintense on T2-weighted images, without a corresponding history of stroke or TIA, were deemed as SBI.24

The locations of infarcts were further evaluated. For lacunar stroke, the presence of acute and silent infarcts in basal ganglia, corona radiata (anterior and posterior), thalamus, and infratentorial region were recorded respectively. For non-lacunar stroke, the presence of acute infarcts in the cortical (frontal, temporal, pariental and occipital lobes), corona radiata (anterior and posterior), basal ganglia, thalamus, and infratentorial region were recorded respectively. For all infarcts except infratentorial infarcts, the laterality was recorded as a left or right hemisphere. For patients with large infarcts covering more than one region, the presence of infarcts were deemed positive in all regions it covered.

Assessment of PSD, function loss, and social support

Three months after the index stroke, another researcher blind to the clinical information administered the face-to-face interview. Patients were diagnosed as PSD if they presented symptoms described in the clinical criteria of the Diagnostic and Statistical Manual of Mental Disorders, 4th edn (DSM-Ⅳ), and had a score ≥6 evaluated by the 15-item Geriatric Depression Scale (GDS) (scores ranging from 0 to15, a higher score suggesting a severer state of depression).25 Besides, the following information was collected: social support according to the Lubben Social Network Scale (LSNS) (scores ranging from 0 to 50, with a higher score indicating a lack of social support), which was designed for the evaluation of interactions between elderly and their social network, consisting of 10 items of different aspects of a social network; 26 functional status and degree of handicap according to the Modified Rankin Scale (mRS) (scores from 0 to 5, a higher score indicating unfavorable outcome).

Statistical analysis

All data were analyzed with SPSS 21.0. As introduced above, patients were assigned to either the lacunar stroke group or non-lacunar stroke group. The comparison was performed between patients with and without PSD in each group respectively. Specifically, categorical variables were listed as proportions (numbers) and compared with the Chi-Square test between patients with and without PSD in lacunar and non-lacunar stroke groups respectively. Continuous variables were listed as mean ± standard error. The distribution of continuous variables was analyzed with the Shapiro-Wilk test. Student t-test and Mann-Whitney U test were used to compare the values of characteristics with or without normal distribution respectively between patients with and without PSD in each group. Variables with p<0.10 except GDS score were further added into multiple logistic regression models to identify the independent risk factors for the occurrence of PSD in each group; p<0.05 was considered to indicate the statistical difference.

Results

Altogether 113 patients were lost to follow-up, and 431 patients were analyzed after follow-up, consisting of 246 patients with lacunar stroke and 185 patients of non-lacunar stroke. Compared with the 431 patients analyzed after follow-up, the 113 patients whose data were not analyzed after follow-up were older (p < 0.05) and had higher NIHSS scores (p < 0.05), with no significant difference in other characteristics.

Lacunar stroke

83 (33.7%) patients of lacunar stroke were identified to have PSD. Compared with patients without PSD, patients with PSD were more likely to be female, with a higher prevalence of diabetes, severe neurological deficits, unfavorable treatment effects, a high degree of handicap, and low social support. The analysis of the locations of acute infarcts or all the infarcts showed no statistical difference between patients with and without PSD (Table 1).

Table 1.

Characteristics of patients with lacunar stroke.

  PSD (n = 83)  Non-PSD (n = 163)  p 
Age, years  69.53±7.68  69.21±7.84  0.798 
Female  51 (61.4%)  74 (45.4%)  0.017 
Education years  5.87±4.87  5.08±4.61  0.166 
Hypertension  68 (81.9%)  123 (75.5%)  0.250 
Diabetes  37 (44.6%)  50 (30.7%)  0.031 
MMSE  25.11±2.17  25.72±2.81  0.018 
NIHSS  4.63±1.89  3.51±1.76  <0.001 
Unfavorable treatment effect  39 (47.0%)  39 (23.9%)  <0.001 
mRS  2.60±1.45  1.73±1.20  <0.001 
LSNS  33.53±4.65  35.45±5.22  0.005 
GDS  8.81±2.12  2.19±1.34  <0.001 
Grade of PWMH  1.28±1.02  1.12±1.01  0.247 
Grade of DWMH  1.13±0.87  1.04±0.90  0.342 
Presence of SBI  49 (59.0%)  88 (54.0%)  0.451 
Acute infarcts in       
Left hemisphere  37 (44.6%)  70 (42.9%)  0.807 
Right hemisphere  32 (38.6%)  73 (44.8%)  0.350 
infratentorial  14 (16.9%)  20 (12.3%)  0.323 
Basal ganglia  32 (38.6%)  62 (38.0%)  0.937 
Anterior corona radiata  16 (19.3%)  38 (23.3%)  0.470 
Posterior corona radiata  12 (14.5%)  32 (19.6%)  0.317 
Thalamus  11 (13.3%)  25 (15.3%)  0.662 
Acute or silent infarcts in       
Left hemisphere  57 (68.7%)  107 (65.6%)  0.634 
Right hemisphere  50 (60.2%)  108 (66.3%)  0.352 
infratentorial  31 (37.3%)  45 (27.6%)  0.118 
Basal ganglia  45 (54.2%)  92 (56.4%)  0.740 
Anterior corona radiata  27 (32.5%)  54 (33.1%)  0.925 
Posterior corona radiata  28 (33.7%)  64 (39.3%)  0.397 
Thalamus  29 (34.9%)  53 (32.5%)  0.703 

A logistic regression model was constructed to identify the independent risk factors for the occurrence of PSD after lacunar stroke, with the items significant at the 0.10 level listed in Table 1 except GDS score added into the model. The results showed that females, a high NIHSS score, unfavorable treatment effect, high mRS, and low LSNS scores were independent risk factors for the occurrence of PSD (Table 2).

Table 2.

Risk factors for the occurrence of PSD among patients with lacunar stroke.

  OR (95% CI)  p 
Female  1.992 (1.074‒3.693)  0.029 
Diabetes  1.536 (0.822‒2.872)  0.179 
MMSE  0.892 (0.793‒1.004)  0.058 
NIHSS  1.346 (1.125‒1.610)  0.001 
Unfavorable treatment effect  3.260 (1.702‒6.245)  <0.001 
mRS  1.410 (1.099‒1.810)  0.007 
LSNS  0.934 (0.877‒0.995)  0.035 
Non-lacunar stroke

Among patients with non-lacunar stroke, 71 (38.38%) patients were identified to have PSD. Compared with patients without PSD, PSD patients were more likely to be female, with severe symptoms, a high degree of handicap. Besides, PSD patients had a higher prevalence of infarcts in the frontal and temporal cortexes (Table 3).

Table 3.

Characteristics of patients with non-lacunar stroke.

  PSD (n = 71)  Non-PSD (n = 114)  p 
Age, years  66.93±8.57  68.57±10.58  0.169 
Female  42 (59.2%)  46 (40.4%)  0.013 
Education years  5.96±4.00  5.83±4.29  0.669 
Hypertension  51 (71.8%)  81 (71.1%)  0.909 
Diabetes  29 (40.8%)  38 (33.3%)  0.301 
MMSE  24.70±2.59  25.43±2.82  0.034 
NIHSS  6.04±1.99  4.53±1.92  <0.001 
Unfavorable treatment effect  30 (42.3%)  35 (30.7%)  0.109 
mRS  3.06±1.22  2.32±0.93  <0.001 
LSNS  32.38±4.70  33.08±4.17  0.343 
GDS  8.49±1.56  2.48±1.47  <0.001 
Grade of PWMH  0.96±0.92  1.04±1.04  0.710 
Grade of DWMH  0.94±0.91  0.89±0.92  0.639 
Presence of SBI  39 (54.9%)  58 (50.9%)  0.591 
Acute infarcts in       
Left hemisphere  41 (57.7%)  55 (48.2%)  0.208 
Right hemisphere  28 (39.4%)  51 (44.7%)  0.478 
Infratentorial  9 (12.7%)  15 (13.2%)  0.924 
Frontal cortex  29 (40.8%)  22 (19.3%)  0.001 
Temporal cortex  30 (42.3%)  29 (25.4%)  0.017 
Pariental cortex  15 (21.1%)  27 (23.7%)  0.686 
Occipital cortex  8 (11.3%)  19 (16.7%)  0.312 
Basal ganglia  17 (23.9%)  33 (28.9%)  0.456 
Anterior corona radiata  16 (22.5%)  34 (29.8%)  0.278 
Posterior corona radiata  20 (28.2%)  28 (24.6%)  0.586 
Thalamus  3 (4.2%)  7 (6.1%)  0.575 

A logistic regression model was constructed to identify the independent risk factors for the occurrence of PSD after non-lacunar stroke, with the items significant at the 0.10 level listed in Table 3 except the GDS score added into the model. The results showed that high NIHSS, high mRS scores, and the presence of acute infarctions in the frontal cortex were independent risk factors for PSD (Table 4).

Table 4.

Risk factors for the occurrence of PSD among patients with non-lacunar stroke.

  OR (95% CI)  p 
Female  1.956 (0.988‒3.875)  0.054 
MMSE  0.900 (0.781‒1.038)  0.148 
NIHSS  1.330 (1.082‒1.635)  0.007 
mRS  1.514 (1.032‒2.221)  0.034 
Acute infarctions in     
Frontal cortex  2.560 (1.109‒5.913)  0.028 
Temporal cortex  1.733 (0.822‒3.653)  0.148 
Discussion

This study verified that depression was common after both lacunar stroke and non-lacunar stroke. The main determinants of PSD were different between lacunar and non-lacunar strokes to some extent. The severities of neurological deficits and handicaps were important for depression after both lacunar and non-lacunar infarction. Unfavorable treatment effects during hospitalization and lack of social support were critical for depression after lacunar stroke, while the lesion locations were more important for depression after non-lacunar stroke.

This study showed that the prevalence of PSD after lacunar stroke was around 1/3, close to that of PSD after non-lacunar stroke, and was similar with the results of previous reports about PSD.27–29 PSD after lacunar and non-lacunar stroke shared some common risk factors, such as female gender, degrees of neurological deficits and functional outcome, which had been studied and identified as the predictors of PSD for a series of studies.29–34 Meanwhile, there were also some risk factors associated with PSD after lacunar stroke and non-lacunar stroke differently. For example, the unfavorable treatment effect was associated with PSD after lacunar stroke more strongly. Specifically, patients with lacunar infarctions who had no neurological functional improvement during hospitalization were much more likely to develop PSD than the rest (OR=3.260, p<0.001), and unfavorable treatment response or neurological deterioration were identified as the most important risk factor of PSD after lacunar stroke, while it wasn't that critical for PSD after non-lacunar stroke. There were no similar reports about the role of treatment effect or neurological deterioration in the mechanism of PSD. However, a recent study showed that the degree of disability at discharge was strongly associated with PSD.29 Compared with patients with non-lacunar stroke, patients with lacunar stroke usually have mild symptoms without severe physical disability at first, and therefore they might be physically and emotionally more sensitive to the deterioration of neurological function which could lead to relatively severe disability at discharge. However, this is just a hypothesis that requires more studies to prove it.

In this study, the authors made a detailed analysis of lesion location and found that the roles of lesion location in PSD were different between patients with lacunar and non-lacunar stroke. For patients with non-lacunar stroke, acute infarctions in frontal and temporal cortexes seemed to be associated with a high prevalence of PSD. However, the authors didn't get positive results about the laterality of infarcts which might be more likely to result in PSD. Furthermore, the analysis of lesion laterality and location among patients with lacunar stroke showed that neither the laterality nor the location of acute infarctions was associated with PSD. After the authors counted silent brain infarctions which were similar to symptomatic lacunar infarctions in many aspects,24 the results about the association between lesion location and PSD in lacunar infarction were still negative. Based on the results above, the authors concluded that frontal and temporal cortexes of both sides especially the former were critical locations for PSD. Actually, although the role of lesion location in the pathogenesis of PSD was still controversial, frontal lobe especially the left frontal lobe was mentioned most frequently in studies about the association between lesion location and PSD.1435-37 Specifically, some studies suggested that the frontal cortex or the network of the limbic-cortical-striatal-pallidal-thalamic circuit which consists of both cortex and grey matters was crucial for the development of PSD.123638 For lacunar stroke, the infarctions could be located in several places of the above-mentioned circuit including basal ganglia, thalamus, and anterior subcortex regions. However, the results of this study showed no significant association between lesion location and PSD after lacunar stroke. Based on this result, it seemed that the subcortical region might just contribute equally to the occurrence of PSD, unlike the frontal cortex which was proven to be associated with PSD more closely than other parts of the cortex.1236 In the future, maybe functional MRI could supply more convincing details about the role of lesion location and PSD.

Silent cerebral lesions especially WML have been proven to be associated with the prevalence and severity of late-onset depression.3940 According to the theory of “vascular depression”,41 the accumulation of silent lesions especially those in some critical regions might destruct the neurons and fibers involved in the process of mood regulation, thus leading to depression,4243 similarly to the lesion location hypothesis of PSD. However, the present study showed that, in both lacunar and non-lacunar stroke groups, the degrees of PWML and DWML, and the prevalence of SBI had no statistical difference between patients with and without PSD. It suggested no significant association between specific locations of silent lesions and PSD. The authors speculate that the role of silent lesions on depression was overshadowed by the onset of stroke, i.e., the neurological deficits and the following handicap, which were more depressogenic. The similar deduction could also explain the different associations between social support and PSD in the two groups. Most previous studies proved the association between PSD and lack of social support.4445 This study showed that this association mainly lay among patients with lacunar stroke. Compared with lacunar stroke, non-lacunar stroke usually results in severe neurological deficit which is a strong predictor of PSD and might weaken the influence of social support. This could be a possible explanation for the different associations mentioned above.

This was the first study about the significance of lesion location for the occurrence of depression after different subtypes of ischemic stroke. The main strength of this study mainly included the combined use of DSM-Ⅳ and GDS as the criteria of PSD, which could improve the specificity of diagnosis; and the comprehensive analysis of multiple factors including lesion location, silent lesions, stroke severity, treatment effect, functional outcome, and social support, which covered a large range of risk factors that might be associated with PSD. Meanwhile, there were also some limitations in this study. For example, the small sample size might limit the significance of the results. Besides, patients with symptoms too severe to give consent to this study or with severe aphasia (mostly non-lacunar stroke) were excluded from this study which lead to the imbalance of patient numbers in the two groups. Considering the strong association between stroke severity and PSD, the prevalence of PSD might be underestimated with some selective bias inevitable. In the future, more studies with a large sample size and elaborated design are still needed to explore the etiology of PSD.

Statement of ethics

This study protocol was reviewed and approved by the Ethics Committee of Shanghai Xuhui Central Hospital, approval number (20190057). Written consent forms were obtained from participants or their family members.

Authors’ contributions

Ke-Wu Wang: Was in charge of the data analysis and paper writing.

Yang-Miao Xu: Assisted with the data acquisition, data analysis and paper writing.

Chao-Bin Lou: Assisted with the data acquisition, data analysis and paper writing.

Jing Huang: Assisted with the data acquisition, data analysis and paper revision.

Chao Feng: Was in charge of the study design, data acquisition and paper revision.

Funding sources

This paper was funded by grants from the Natural Science Foundation of Shanghai (No. 19ZR1450100) and the National Natural Science Foundation of China (No. 81971688).

References
[1]
J Das, G KR.
Post stroke depression: The sequelae of cerebral stroke.
Neurosci Biobehav Rev, 90 (2018), pp. 104-114
[2]
H Schottke, CM. Giabbiconi.
Post-stroke depression and post-stroke anxiety: prevalence and predictors.
Int Psychogeriatr, 27 (2015), pp. 1805-1812
[3]
W Cai, C Mueller, YJ Li, WD Shen, R. Stewart.
Post stroke depression and risk of stroke recurrence and mortality: A systematic review and meta-analysis.
Ageing Res Rev, 50 (2019), pp. 102-109
[4]
I Loubinoux, G Kronenberg, M Endres, P Schumann-Bard, T Freret, RK Filipkowski, et al.
Post-stroke depression: mechanisms, translation and therapy.
J Cell Mol Med, 16 (2012), pp. 1961-1969
[5]
CI Ezema, PC Akusoba, MC Nweke, CU Uchewoke, J Agono, G. Usoro.
Influence of post-stroke depression on functional independence in activities of daily living.
Ethiop J Health Sci, 29 (2019), pp. 841-846
[6]
J Tu, LX Wang, HF Wen, YC Xu, PF. Wang.
The association of different types of cerebral infarction with post-stroke depression and cognitive impairment.
Medicine (Baltimore), 97 (2018), pp. e10919
[7]
T Zhang, X Jing, X Zhao, C Wang, Z Liu, Y Zhou, et al.
A prospective cohort study of lesion location and its relation to post-stroke depression among Chinese patients.
J Affect Disord, 136 (2012), pp. e83-e87
[8]
WK Tang, YK Chen, JY Lu, WCW Chu, VCT Mok, GS Ungvari, et al.
White matter hyperintensities in post-stroke depression: a case control study.
J Neurol, Neurosurg Psychiatry, 81 (2010), pp. 1312-1315
[9]
F Castellanos-Pinedo, JM Hernandez-Perez, M Zurdo, B Rodriguez-Funez, JM Hernandez-Bayo, C Garcia-Fernandez, et al.
Influence of premorbid psychopathology and lesion location on affective and behavioral disorders after ischemic stroke.
J Neuropsychiatry Clin Neurosci, 23 (2011), pp. 340-347
[10]
SM MacHale, SJ O'Rourke, JM Wardlaw, MS Dennis.
Depression and its relation to lesion location after stroke.
J Neurol Neurosurg Psychiatry, 64 (1998), pp. 371-374
[11]
S Hama, H Yamashita, M Shigenobu, A Watanabe, K Kurisu, S Yamawaki, et al.
Post-stroke affective or apathetic depression and lesion location: left frontal lobe and bilateral basal ganglia.
Eur Arch Psychiatry Clin Neurosci, 257 (2007), pp. 149-152
[12]
L Terroni, E Amaro, DV Iosifescu, G Tinone, JR Sato, CC Leite, et al.
Stroke lesion in cortical neural circuits and post-stroke incidence of major depressive episode: a 4-month prospective study.
World J Biol Psychiatry, 12 (2011), pp. 539-548
[13]
N Wei, W Yong, X Li, Y Zhou, M Deng, H Zhu, et al.
Post-stroke depression and lesion location: a systematic review.
J Neurol, 262 (2015), pp. 81-90
[14]
A Nickel, G. Thomalla.
Post-Stroke Depression: Impact of lesion location and methodological limitations-a topical review.
Front Neurol, 8 (2017), pp. 498
[15]
S Koch, MS McClendon, R. Bhatia.
Imaging evolution of acute lacunar infarction: Leukoariosis or lacune?.
Neurology, 77 (2011), pp. 1091-1095
[16]
M Samuelsson, B Soderfeldt, GB. Olsson.
Functional outcome in patients with lacunar infarction.
Stroke, 27 (1996), pp. 842-846
[17]
M Altieri, I Maestrini, A Mercurio, P Troisi, E Sgarlata, V Rea, et al.
Depression after minor stroke: prevalence and predictors.
Eur J Neurol, 19 (2012), pp. 517-521
[18]
Y Shi, Y Xiang, Y Yang, N Zhang, S Wang, GS Ungvari, et al.
Depression after minor stroke: prevalence and predictors.
J Psychosom Res, 79 (2015), pp. 143-147
[19]
RW Regenhardt, AS Das, EH Lo, LR. Caplan.
Advances in understanding the pathophysiology of lacunar stroke: a review.
JAMA Neurol, 75 (2018), pp. 1273-1281
[20]
RW Regenhardt, AS Das, R Ohtomo, EH Lo, C Ayata, ME. Gurol.
Pathophysiology of lacunar stroke: history's mysteries and modern interpretations.
J Stroke Cerebrovasc Dis, 28 (2019), pp. 2079-2097
[21]
BM Frey, M Petersen, C Mayer, M Schulz, B Cheng, G. Thomalla.
Characterization of white matter hyperintensities in large-scale MRI-studies.
Front Neurol, 10 (2019), pp. 238
[22]
YY Xiong, V. Mok.
Age-related white matter changes.
J Aging Res, 2011 (2011),
[23]
F Fazekas, JB Chawluk, A Alavi, HI Hurtig, RA. Zimmerman.
MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.
AJR, 149 (1987), pp. 351-356
[24]
SE Vermeer, WT Longstreth, PJ. Koudstaal.
Silent brain infarcts: a systematic review.
Lancet Neurol, 6 (2007), pp. 611-619
[25]
AJ Mitchell, V Bird, M Rizzo, N. Meader.
Diagnostic validity and added value of the geriatric depression scale for depression in primary care: a meta-analysis of GDS30 and GDS15.
J Affect Disord, 125 (2010), pp. 10-17
[26]
JE. Lubben.
Assessing social networks among elderly populations.
Fam Community Health, 11 (1988), pp. 42-52
[27]
X Qiu, H Wang, Y Lan, J Miao, C Pan, W Sun, et al.
Blood biomarkers of post-stroke depression after minor stroke at three months in males and females.
BMC Psychiatry, 22 (2022), pp. 162
[28]
S Paolucci, M Iosa, P Coiro, V Venturiero, A Savo, D De Angelis, et al.
Post-stroke depression increases disability more than 15% in ischemic stroke survivors: a case-control study.
Front Neurol, 10 (2019), pp. 926
[29]
F Lopez-Espuela, R Roncero-Martin, ML Canal-Macias, JM Moran, V Vera, A Gomez-Luque, et al.
Depressed mood after stroke: predictive factors at six months follow-up.
Int J Environ Res Public Health, 17 (2020), pp. 9542
[30]
G Li, P Jing, G Chen, J Mei, J Miao, W Sun, et al.
Development and validation of 3-month major post-stroke depression prediction nomogram after acute ischemic stroke onset.
Clin Interv Aging, 16 (2021), pp. 1439-1447
[31]
CH Lee, SH Jeon, MJ Kim, GD Ra, YH Lee, SH Hong, et al.
Factors affecting post-stroke depression in acute ischemic stroke patients after 3 months.
J Pers Med, 11 (2021), pp. 1178
[32]
G Meng, X Ma, L Li, Y Tan, X Liu, X Liu, et al.
Predictors of early-onset post-ischemic stroke depression: a cross-sectional study.
BMC Neurol, 17 (2017), pp. 199
[33]
X Li, X. Wang.
Relationships between stroke, depression, generalized anxiety disorder and physical disability: some evidence from the Canadian Community Health Survey-Mental Health.
Psychiatry Res, 290 (2020),
[34]
Z Wang, M Zhu, Z Su, B Guan, A Wang, Y Wang, et al.
Post-stroke depression: different characteristics based on follow-up stage and gender-a cohort perspective study from Mainland China.
Neurol Res, 39 (2017), pp. 996-1005
[35]
E Douven, S Kohler, MMF Rodriguez, J Staals, FRJ Verhey.
Aalten P. Imaging sis.
Neuropsychol Rev., 27 (2017), pp. 202-219
[36]
Y Shi, Y Zeng, L Wu, W Liu, Z Liu, S Zhang, et al.
A study of the brain abnormalities of post-stroke depression in frontal lobe lesion.
[37]
XF Zhang, X He, L Wu, CJ Liu, W. Wu.
Altered functional connectivity of amygdala with the fronto-limbic-striatal circuit in temporal lobe lesion as a proposed mechanism for poststroke depression.
Am J Phys Med Rehabil, 98 (2019), pp. 303-310
[38]
W Liang, Z Fan, S Cui, X Shen, L. Wang.
The association between White matter microstructure alterations detected by Diffusional kurtosis imaging in Neural circuit and post-stroke depression.
Neurol Res, 43 (2021), pp. 535-542
[39]
X Zhang, Y Tang, Y Xie, C Ding, J Xiao, X Jiang, et al.
Total magnetic resonance imaging burden of cerebral small-vessel disease is associated with post-stroke depression in patients with acute lacunar stroke.
Eur J Neurol, 24 (2017), pp. 374-380
[40]
Y Fang, T Qin, W Liu, L Ran, Y Yang, H Huang, et al.
Cerebral small-vessel disease and risk of incidence of depression: a meta-analysis of longitudinal cohort studies.
J Am Heart Assoc, 9 (2020),
[41]
WD Taylor, HJ Aizenstein, GS. Alexopoulos.
The vascular depression hypothesis: mechanisms linking vascular disease with depression.
Mol Psychiatry, 18 (2013), pp. 963-974
[42]
L Emsell, C Adamson, FL De Winter, T Billiet, D Christiaens, F Bouckaert, et al.
Corpus callosum macro and microstructure in late-life depression.
J Affect Disord, 222 (2017), pp. 63-70
[43]
RB Dalby, MM Chakravarty, J Ahdidan, L Sorensen, J Frandsen, KY Jonsdottir, et al.
Localization of white-matter lesions and effect of vascular risk factors in late-onset major depression.
Psychol Med, 40 (2010), pp. 1389-1399
[44]
RE Taylor-Piliae, JT Hepworth, BM Coull.
Predictors of depressive symptoms among community-dwelling stroke survivors.
J Cardiovasc Nurs, 28 (2013), pp. 460-467
[45]
Y Shi, D Yang, Y Zeng, W. Wu.
Risk Factors for post-stroke depression: a meta-analysis.
Front Aging Neurosci, 9 (2017), pp. 218
Copyright © 2022. HCFMUSP
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos