Prediction of Aspartate Aminotransferase to Platelet Ratio Index with Size of Esophageal Varices in Liver Cirrhosis.


Journal

Journal of Nepal Health Research Council
ISSN: 1999-6217
Titre abrégé: J Nepal Health Res Counc
Pays: Nepal
ID NLM: 101292936

Informations de publication

Date de publication:
28 Apr 2019
Historique:
received: 23 03 2018
accepted: 24 04 2019
entrez: 22 5 2019
pubmed: 22 5 2019
medline: 24 12 2019
Statut: epublish

Résumé

Liver cirrhosis is one of the major causes of morbidity and mortality. The threatening complication of Liver cirrhosis is variceal bleeding. Early diagnosis and initiation of therapy can reduce mortality associated with variceal bleeding. This study is designed to predict the esophageal varices by non-invasive method using aspartate aminotransferase to platelet count ratio index (APRI). A total of 100 patients were studied between March 2016 and February 2017 with the diagnosis of Liver cirrhosis admitted at Bir Hospital fulfilling the inclusion and exclusion criteria. Ethical approval was obtained from Institutional review board of National Academy of Medical Sciences. Out of one hundred patients, 80 were males and 20 females. On endoscopy, small varices were present in 28 (28%) patients and large varices in 51(51%) patients. APRI with a cutoff value of 0.908 has sensitivity of 87.3% and specificity of 71.4%, positive predictive value of 92% and negative predictive value of 60% (p=0.001) for the detection of varices. Aspartate aminotransferase to platelet count ratio index can be a useful tool to indirectly predict esophageal varices in a patient with Liver Cirrhosis.

Sections du résumé

BACKGROUND BACKGROUND
Liver cirrhosis is one of the major causes of morbidity and mortality. The threatening complication of Liver cirrhosis is variceal bleeding. Early diagnosis and initiation of therapy can reduce mortality associated with variceal bleeding. This study is designed to predict the esophageal varices by non-invasive method using aspartate aminotransferase to platelet count ratio index (APRI).
METHODS METHODS
A total of 100 patients were studied between March 2016 and February 2017 with the diagnosis of Liver cirrhosis admitted at Bir Hospital fulfilling the inclusion and exclusion criteria. Ethical approval was obtained from Institutional review board of National Academy of Medical Sciences.
RESULTS RESULTS
Out of one hundred patients, 80 were males and 20 females. On endoscopy, small varices were present in 28 (28%) patients and large varices in 51(51%) patients. APRI with a cutoff value of 0.908 has sensitivity of 87.3% and specificity of 71.4%, positive predictive value of 92% and negative predictive value of 60% (p=0.001) for the detection of varices.
CONCLUSIONS CONCLUSIONS
Aspartate aminotransferase to platelet count ratio index can be a useful tool to indirectly predict esophageal varices in a patient with Liver Cirrhosis.

Identifiants

pubmed: 31110374
doi: 10.33314/jnhrc.1392
doi:

Substances chimiques

Aspartate Aminotransferases EC 2.6.1.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

38-41

Auteurs

Amrendra K Mandal (AK)

Department of Internal Medicine, Interfaith Medical Center, Brooklyn, NY, USA.

Prashant Subedi (P)

Department of Internal Medicine, Patan Academy of Health Sciences, Lalitpur, Nepal.

Mukesh Sharma Paudel (MS)

Department of Gastroenterology, NAMS, Kathmandu, Nepal.

Suman Thapa (S)

Department of Internal Medicine, Patan Academy of Health Sciences, Lalitpur, Nepal.

Paritosh Kafle (P)

Department of Internal Medicine, Interfaith Medical Center, Brooklyn, NY, USA.

Vijay Gayam (V)

Department of Internal Medicine, Interfaith Medical Center, Brooklyn, NY, USA.

Mazin Khalid (M)

Department of Internal Medicine, Interfaith Medical Center, Brooklyn, NY, USA.

Rajan Kanth (R)

Carilion Clinic, VA, USA.

Neetu M Ray (NM)

New York Presbyterian Hospital, Queens, NY, USA.

Sunil Ray (S)

Sure Medical PC, Elmhurst, NY, USA.

Shristy Gautam (S)

KIST Medical College, Lalitpur, Nepal.

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Classifications MeSH