Relationship of Post-Stroke Aphasic Types with Sex, Age and Stroke Types
Author(s)
Jingfan Yao1,2,3,4,
Zaizhu Han5,
Yanli Song1,2,3,4,
Lei Li1,2,3,4,
Yun Zhou1,2,3,4,
Weikang Chen6,
Yongmei Deng1,2,3,4,
Yongjun Wang1,2,3,4,
Yumei Zhang1,2,3,4
Affiliation(s)
1 Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. 2 China National Clinical Research Center for Neurological Diseases, Beijing, China. 3 Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China. 4 Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. 5 State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. 6 The Sixth Affiliated Hospital of Wenzhou Medical University Lishui City People’s Hospital, Lishui, China.
1 Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. 2 China National Clinical Research Center for Neurological Diseases, Beijing, China. 3 Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China. 4 Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China. 5 State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. 6 The Sixth Affiliated Hospital of Wenzhou Medical University Lishui City People’s Hospital, Lishui, China.
ABSTRACT
Aim: To explore what is the relationship of the types of post-stroke aphasia with sex, age and stroke types. Methods: Retrospective analysis was administrated on data of 421 patients with acute stroke. Western battery aphasia was used to measure aphasiac type and aphasia quotient (AQ) score. The patients were divided into three age groups: young, middle-aged and elderly. The stroke types were classified into cerebral infraction (CI) and intracerebral hemorrhage (ICH). Results: All subjects were right-handed, which males and females accounted for 69.60% and 30.40%, respectively. There were 116 cases of Broca’s aphasia (85 males), 35 cases of Wernicke’s aphasia (20 males), 15 cases of conductive aphasia (10 males), 63 cases of transcortical motor aphasia (50 males), 11 cases of transcortical sensory aphasia (8 males), 27 cases of transcortical combined aphasia (13 males), 73 cases of anomic aphasia (47 males) and 81 cases of global aphasia (60 males). Male patients (69.60%) have a significantly higher morbidity of aphasia than that of females (30.40%) after stroke (χ2 = 11.57, P = 0.003), especially those under 65 years old (73.38%). For people 65 years and older, the morbidity of female (42.97%) tends to increase with age. Sex has no significant influence on the types of aphasia (χ2 = 13.84, P = 0.054). Broca’s aphasia is the most common type inboth male and female (29.01%, 24.22%, respectively). The distribution of aphasic types has no obvious difference among three age groups (χ2 = 14.94, P= 0.382). Aphasia induced by CI (306 cases) is more common than that by ICH (115 cases), but there was no difference in distribution of types of aphasia (χ2 = 13.23, P = 0.067). Conclusions: Male patients have a significantly higher level of morbidity of aphasia than females after stroke and a lower average age of onset than females. Broca’s aphasia is the most common one in both male and female. Broca’s aphasia, global and anomic aphasia are the most common aphasic types in both CI and ICH patients, except the female with ICH.
Aim: To explore what is the relationship of the types of post-stroke aphasia with sex, age and stroke types. Methods: Retrospective analysis was administrated on data of 421 patients with acute stroke. Western battery aphasia was used to measure aphasiac type and aphasia quotient (AQ) score. The patients were divided into three age groups: young, middle-aged and elderly. The stroke types were classified into cerebral infraction (CI) and intracerebral hemorrhage (ICH). Results: All subjects were right-handed, which males and females accounted for 69.60% and 30.40%, respectively. There were 116 cases of Broca’s aphasia (85 males), 35 cases of Wernicke’s aphasia (20 males), 15 cases of conductive aphasia (10 males), 63 cases of transcortical motor aphasia (50 males), 11 cases of transcortical sensory aphasia (8 males), 27 cases of transcortical combined aphasia (13 males), 73 cases of anomic aphasia (47 males) and 81 cases of global aphasia (60 males). Male patients (69.60%) have a significantly higher morbidity of aphasia than that of females (30.40%) after stroke (χ2 = 11.57, P = 0.003), especially those under 65 years old (73.38%). For people 65 years and older, the morbidity of female (42.97%) tends to increase with age. Sex has no significant influence on the types of aphasia (χ2 = 13.84, P = 0.054). Broca’s aphasia is the most common type inboth male and female (29.01%, 24.22%, respectively). The distribution of aphasic types has no obvious difference among three age groups (χ2 = 14.94, P= 0.382). Aphasia induced by CI (306 cases) is more common than that by ICH (115 cases), but there was no difference in distribution of types of aphasia (χ2 = 13.23, P = 0.067). Conclusions: Male patients have a significantly higher level of morbidity of aphasia than females after stroke and a lower average age of onset than females. Broca’s aphasia is the most common one in both male and female. Broca’s aphasia, global and anomic aphasia are the most common aphasic types in both CI and ICH patients, except the female with ICH.
Cite this paper
Yao, J. , Han, Z. , Song, Y. , Li, L. , Zhou, Y. , Chen, W. , Deng, Y. , Wang, Y. , Zhang, Y. , (2015) Relationship of Post-Stroke Aphasic Types with Sex, Age and Stroke Types. World Journal of Neuroscience, 5, 34-39. doi: 10.4236/wjns.2015.51004.
Yao, J. , Han, Z. , Song, Y. , Li, L. , Zhou, Y. , Chen, W. , Deng, Y. , Wang, Y. , Zhang, Y. , (2015) Relationship of Post-Stroke Aphasic Types with Sex, Age and Stroke Types. World Journal of Neuroscience, 5, 34-39. doi: 10.4236/wjns.2015.51004.
References
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http://dx.doi.org/10.1179/174313208X300332 [16] Zhang, Y.M., Wang, Y.J., Zhou, Y., et al. (2005) The Clinical Study of the Association between the Types of Aphasia and Lesion Localization. Chinese Journal of Rehabilitation Medicine, 20, 352-353. [17] Hier, D.B., Yoon, W.B., Mohr, J.P., Price, T.R. and Wolf, P.A. (1994) Gender and Aphasia in the Stroke Data Bank. Brain and Language, 47, 155-167. http://dx.doi.org/10.1006/brln.1994.1046 [18] De Renzi, E., Faqlioni, P. and Ferrari, P. (1980) The Influence of Sex and Age on the Incidence and Type of Aphasia. Cortex, 16, 627-630. http://dx.doi.org/10.1016/S0010-9452(80)80010-4 [19] Chen, Y. and Li, Y.S. (2009) The Effect of Sex on the Post-Stroke Aphasia. Journal of Shanghai Jiao Tong University (Medical Science), 29, 978-981. [20] Zhang, Y.M. and Wang, Y.J. (2004) Relevant Factors about the Types of Aphasia. Chinese Journal of Rehabilitation Theory and Practice, 10, 241-242. [21] Bitan, T., Lifshitz, A., Breznitz, Z. and Booth, J.R. (2010) Bidirectional Connectivity between Hemispheres Occurs at Multiple Levels in Language Processing but Depends on Sex. The Journal of Neuroscience, 30, 11576-11585. http://dx.doi.org/10.1523/JNEUROSCI.1245-10.2010 [22] Clements-Stephens, A.M., Rimrodt, S.L. and Cutting, L.E. (2009) Developmental Sex Differences in Basic Visuospatial Processing: Differences in Strategy Use? Neuroscience Letters, 449, 155-160.
http://dx.doi.org/10.1016/j.neulet.2008.10.094 [23] Mu, X.D. (2012) Analysis of Gender Differences in First-Ever Ischemic Stroke Imaging and Epidemiology. Hebei Medical University, Shijiazhuang. [24] Geng, Y.Y. (2011) Gender Differences of Clinical Features and Prognosis of Primary Cerebral Hemorrhage. Wenzhou Medical College, Wenzhou. [25] Appelros, P., Stegmayr, B. and Terént, A. (2009) Sex Differences in Stroke Epidemiology: A Systematic Review. Stroke, 40, 1082-1090. http://dx.doi.org/10.1161/STROKEAHA.108.540781
[1] Vidovic, M., Sinanovic, O., Sabaskic, L., et al. (2011) Incidence and Types of Speech Disorders in Stroke Patients. Acta Clinica Croatica, 50, 491-494. [2] Kadojic, D., Bijelic, B.R., Radanovic, R., et al. (2012) Aphasia in Patients with Ischemic Stroke. Acta Clinica Croatica, 51, 221-225. [3] Sinanovic, O., Mrkonjic, Z., Zukic, S., et al. (2011) Post-Stroke Language Disorders. Acta Clinica Croatica, 50, 79-94. [4] Dickey, L., Kagan, A., Lindsay, M.P., et al. (2010) Incidence and Profile of Inpatient Stroke-Induced Aphasia in Ontario, Canada. Archives Physical Medicine and Rehabilitation, 91, 196-202.
http://dx.doi.org/10.1016/j.apmr.2009.09.020 [5] Gialanella, B., Bertolinelli, M., Lissi, M., et al. (2011) Predicting Outcome after Stroke: The Role of Aphasia. Disability and Rehabilitation, 33, 122-129. http://dx.doi.org/10.3109/09638288.2010.488712 [6] Miyashita, H. and Sakai, K.L. (2011) Localization of Language Function in the Brain. Brain and Nerve, 63, 1339-1345. [7] Kang, E.K., Sohn, H.M., Han, M.K., et al. (2010) Severity of Post-Stroke Aphasia According to Aphasia Type and Lesion Location in Koreans. Journal of Korean Medical Science, 25, 123-127.
http://dx.doi.org/10.3346/jkms.2010.25.1.123 [8] Otsuki, M. (2008) Aphasia in Practice—Recent Progress. Rinsho Shinkeigaku, 48, 853-856.
http://dx.doi.org/10.5692/clinicalneurol.48.853 [9] Trudeau, N., Goulet, P. and Joanette, Y. (1993) Age and Type of Aphasia. Acta Neurologica Belgica, 93, 283-289. [10] Steinvil, Y., Ring, H. and Luz, Y. (1985) Type of Aphasia: Relationship to Age, Sex, Previous Risk Factors, and Outcome of Rehabilitation. Scandinavian Journal Rehabilitation Medicine Supplement, 12, 68-71. [11] The Chinese Medical Association of the Fourth National Cerebrovascular Disease Conference (1996) Essentials of Diagnosis of All Kinds of Cerebrovascular Diseases. Chinese Journal of Neurology, 29, 379. [12] Gao, S.R. (1992) Discussion about the Standardization of Aphasia Battery of Chinese. Journal of Clinical Neurology, 5, 193-195. [13] Gao, S.R. (2006) Aphasia. 2nd Version, Peking University Medical Press, Beijing, 4-5. [14] Obler, L.K., Albert, M.L., Benson, D.F. and Goodglass, H. (1978) Aphasia Type and Aging. Brain and Language, 6, 318-322. http://dx.doi.org/10.1016/0093-934X(78)90065-2 [15] Yang, Z.H., Zhao, X.Q., Wang, C.X., Chen, H.Y. and Zhang, Y.M. (2008) Neuroanatomic Correlation of the Post-Stroke Aphasias Studied with Imaging. Neurological Research, 30, 356-360.
http://dx.doi.org/10.1179/174313208X300332 [16] Zhang, Y.M., Wang, Y.J., Zhou, Y., et al. (2005) The Clinical Study of the Association between the Types of Aphasia and Lesion Localization. Chinese Journal of Rehabilitation Medicine, 20, 352-353. [17] Hier, D.B., Yoon, W.B., Mohr, J.P., Price, T.R. and Wolf, P.A. (1994) Gender and Aphasia in the Stroke Data Bank. Brain and Language, 47, 155-167. http://dx.doi.org/10.1006/brln.1994.1046 [18] De Renzi, E., Faqlioni, P. and Ferrari, P. (1980) The Influence of Sex and Age on the Incidence and Type of Aphasia. Cortex, 16, 627-630. http://dx.doi.org/10.1016/S0010-9452(80)80010-4 [19] Chen, Y. and Li, Y.S. (2009) The Effect of Sex on the Post-Stroke Aphasia. Journal of Shanghai Jiao Tong University (Medical Science), 29, 978-981. [20] Zhang, Y.M. and Wang, Y.J. (2004) Relevant Factors about the Types of Aphasia. Chinese Journal of Rehabilitation Theory and Practice, 10, 241-242. [21] Bitan, T., Lifshitz, A., Breznitz, Z. and Booth, J.R. (2010) Bidirectional Connectivity between Hemispheres Occurs at Multiple Levels in Language Processing but Depends on Sex. The Journal of Neuroscience, 30, 11576-11585. http://dx.doi.org/10.1523/JNEUROSCI.1245-10.2010 [22] Clements-Stephens, A.M., Rimrodt, S.L. and Cutting, L.E. (2009) Developmental Sex Differences in Basic Visuospatial Processing: Differences in Strategy Use? Neuroscience Letters, 449, 155-160.
http://dx.doi.org/10.1016/j.neulet.2008.10.094 [23] Mu, X.D. (2012) Analysis of Gender Differences in First-Ever Ischemic Stroke Imaging and Epidemiology. Hebei Medical University, Shijiazhuang. [24] Geng, Y.Y. (2011) Gender Differences of Clinical Features and Prognosis of Primary Cerebral Hemorrhage. Wenzhou Medical College, Wenzhou. [25] Appelros, P., Stegmayr, B. and Terént, A. (2009) Sex Differences in Stroke Epidemiology: A Systematic Review. Stroke, 40, 1082-1090. http://dx.doi.org/10.1161/STROKEAHA.108.540781