Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease
Aim: To study Electroencephalogram (EEG) in different stages of chronic kidney disease (CKD). Materials and Methods: This observational study was carried out in the Department of Medicine, Jawaharlal Nehru Medical College, Sawangi (Meghe), Wardha conducted over a period of 24 months, spanning f...
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| Format: | Article |
| Language: | English |
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JCDR Research and Publications Private Limited
2015-03-01
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| Series: | Journal of Clinical and Diagnostic Research |
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| Online Access: | https://jcdr.net/articles/PDF/5705/11257_CE(RA1)_F(T)_PF1(PAK)_PFA(AK)_PF2(PAG).pdf |
| _version_ | 1819066922679926784 |
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| author | Pradyumna Gadewar Sourya Acharya Praveen Khairkar Samarth Shukla S.N. Mahajan |
| author_facet | Pradyumna Gadewar Sourya Acharya Praveen Khairkar Samarth Shukla S.N. Mahajan |
| author_sort | Pradyumna Gadewar |
| collection | DOAJ |
| description | Aim: To study Electroencephalogram (EEG) in different stages of
chronic kidney disease (CKD).
Materials and Methods: This observational study was carried
out in the Department of Medicine, Jawaharlal Nehru Medical
College, Sawangi (Meghe), Wardha conducted over a period of 24
months, spanning from August 2011 to August 2013. Eighty three
cases of CKD at different stages were studied. EEG was done in
all the subjects and the various EEG dynamics like morphometric
waveform patterns, symmetricity, amplitude were recorded and
compared with the different stages of CKD.
Results: We found that characteristic changes were observed
with increasing severity of CKD. Slow delta wave patterns were
more prominent in stage 5 (p<0.0001), asymmetric discharges,
dysthymia, sharp wave transients and low amplitude wave forms
were more prominent beyond Stage 4 (p<0.0001).
Conclusion: EEG can be used as an effective tool for detection
of subclinical or latent uremic encephalopathy. EEG findings which
are characteristics of uremic encephalopathy can be present in
CKD patients without overt signs of encephalopathy. So, EEG can
be used as a prognostic indicator of response to clinical therapy
of CKD. |
| first_indexed | 2024-12-21T16:10:03Z |
| format | Article |
| id | doaj.art-3f2186c606d44f57a31e5478f28dc9da |
| institution | Directory Open Access Journal |
| issn | 2249-782X 0973-709X |
| language | English |
| last_indexed | 2024-12-21T16:10:03Z |
| publishDate | 2015-03-01 |
| publisher | JCDR Research and Publications Private Limited |
| record_format | Article |
| series | Journal of Clinical and Diagnostic Research |
| spelling | doaj.art-3f2186c606d44f57a31e5478f28dc9da2022-12-21T18:57:49ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2015-03-0193OC25OC2710.7860/JCDR/2015/11257.5705Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney DiseasePradyumna Gadewar0Sourya Acharya1Praveen Khairkar2Samarth Shukla3S.N. Mahajan4Assistant Professor, Department of Medicine, JNMC, DMIMSU, Wardha, Maharashtra, India.Professor, Department of Medicine, JNMC DMIMSU, Wardha, Maharashtra, India.. Professor, Department of Psychiatry, MGIMS, Sewagram, Wardha, Maharashtra, India.Professor, Department of Pathology, JNMC, DMIMSU, Wardha, Maharashtra, India.Professor, Department of Medicine, JNMC, DMIMSU, Wardha, Maharashtra, India.Aim: To study Electroencephalogram (EEG) in different stages of chronic kidney disease (CKD). Materials and Methods: This observational study was carried out in the Department of Medicine, Jawaharlal Nehru Medical College, Sawangi (Meghe), Wardha conducted over a period of 24 months, spanning from August 2011 to August 2013. Eighty three cases of CKD at different stages were studied. EEG was done in all the subjects and the various EEG dynamics like morphometric waveform patterns, symmetricity, amplitude were recorded and compared with the different stages of CKD. Results: We found that characteristic changes were observed with increasing severity of CKD. Slow delta wave patterns were more prominent in stage 5 (p<0.0001), asymmetric discharges, dysthymia, sharp wave transients and low amplitude wave forms were more prominent beyond Stage 4 (p<0.0001). Conclusion: EEG can be used as an effective tool for detection of subclinical or latent uremic encephalopathy. EEG findings which are characteristics of uremic encephalopathy can be present in CKD patients without overt signs of encephalopathy. So, EEG can be used as a prognostic indicator of response to clinical therapy of CKD.https://jcdr.net/articles/PDF/5705/11257_CE(RA1)_F(T)_PF1(PAK)_PFA(AK)_PF2(PAG).pdfdysthymiaencephalopathyuremia |
| spellingShingle | Pradyumna Gadewar Sourya Acharya Praveen Khairkar Samarth Shukla S.N. Mahajan Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease Journal of Clinical and Diagnostic Research dysthymia encephalopathy uremia |
| title | Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease |
| title_full | Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease |
| title_fullStr | Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease |
| title_full_unstemmed | Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease |
| title_short | Dynamics of Electroencephalogram (EEG) in Different Stages of Chronic Kidney Disease |
| title_sort | dynamics of electroencephalogram eeg in different stages of chronic kidney disease |
| topic | dysthymia encephalopathy uremia |
| url | https://jcdr.net/articles/PDF/5705/11257_CE(RA1)_F(T)_PF1(PAK)_PFA(AK)_PF2(PAG).pdf |
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