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Pattern of Alcohol-related Liver Disease in Dependent Alcoholics: the Indian dimension.

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Title: Pattern of Alcohol-related Liver Disease in Dependent Alcoholics: the Indian dimension.
Authors: Sarin, S.K., Bhatt, A., Malhotra, V., Sachdev, G., Jiloha, R.C., Munjal, G.C.
Source: British Journal of Addiction. Mar88, Vol. 83 Issue 3, p279-284. 6p.
Subjects: Liver diseases, People with alcoholism, Alcoholism, Health
Abstract: To study the incidence and profile of alcoholic liver disease in dependant alcoholics, 56 patients, 31 with moderate and 25 with severe dependence on alcohol, were assessed by a severity of alcohol dependence questionnaire. All the patients were males. Forty-five (80.4%) dependant alcoholics were found to have alcoholic liver disease, diagnosed either by abnormal biochemical tests (78.6%) or when available, specific histological lesions (87.8%). Of the 49 (87.5%) patients in whom liver biopsy could be obtained, fatty liver was seen in 17 (34.7%), hepatitis in 22 (44.9%) and cirrhosis in four (8.2%) patients. Liver biopsy was normal in the remaining six (12.2%) patients. Symptoms suggestive of alcoholic liver disease were however, observed in only 18.6% patients. No significant difference was seen in the nature and severity of biochemical and histological liver injury between patients with moderate or severe dependence on alcohol. It can be concluded that significant hepatic abnormalities exist in a high percentage of dependant alcoholics in India. Increased awareness and institution of measures for early screening of these patients for the presence of underlying liver disease are warranted. [ABSTRACT FROM AUTHOR]
Copyright of British Journal of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Pattern of Alcohol-related Liver Disease in Dependent Alcoholics: the Indian dimension.
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  Data: <searchLink fieldCode="JN" term="%22British+Journal+of+Addiction%22">British Journal of Addiction</searchLink>. Mar88, Vol. 83 Issue 3, p279-284. 6p.
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  Data: To study the incidence and profile of alcoholic liver disease in dependant alcoholics, 56 patients, 31 with moderate and 25 with severe dependence on alcohol, were assessed by a severity of alcohol dependence questionnaire. All the patients were males. Forty-five (80.4%) dependant alcoholics were found to have alcoholic liver disease, diagnosed either by abnormal biochemical tests (78.6%) or when available, specific histological lesions (87.8%). Of the 49 (87.5%) patients in whom liver biopsy could be obtained, fatty liver was seen in 17 (34.7%), hepatitis in 22 (44.9%) and cirrhosis in four (8.2%) patients. Liver biopsy was normal in the remaining six (12.2%) patients. Symptoms suggestive of alcoholic liver disease were however, observed in only 18.6% patients. No significant difference was seen in the nature and severity of biochemical and histological liver injury between patients with moderate or severe dependence on alcohol. It can be concluded that significant hepatic abnormalities exist in a high percentage of dependant alcoholics in India. Increased awareness and institution of measures for early screening of these patients for the presence of underlying liver disease are warranted. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of British Journal of Addiction is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/j.1360-0443.1988.tb00469.x
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      – Code: eng
        Text: English
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