Cargando…
Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital
Introduction: Chronic liver disease (CLD) is a term used to describe a wide spectrum of disorders, including idiopathic, infectious, genetic, drug-induced, toxin-induced, and autoimmune disorders. The common consequence of chronic damage to the liver is cirrhosis. Cirrhotic patients are further clas...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671171/ https://www.ncbi.nlm.nih.gov/pubmed/33214947 http://dx.doi.org/10.7759/cureus.11019 |
_version_ | 1783610876678373376 |
---|---|
author | Tauseef, Abubakar Zafar, Maryam Rashid, Behzad Thirumalareddy, Joseph Chalfant, Victor Farooque, Umar Mirza, Mohsin |
author_facet | Tauseef, Abubakar Zafar, Maryam Rashid, Behzad Thirumalareddy, Joseph Chalfant, Victor Farooque, Umar Mirza, Mohsin |
author_sort | Tauseef, Abubakar |
collection | PubMed |
description | Introduction: Chronic liver disease (CLD) is a term used to describe a wide spectrum of disorders, including idiopathic, infectious, genetic, drug-induced, toxin-induced, and autoimmune disorders. The common consequence of chronic damage to the liver is cirrhosis. Cirrhotic patients are further classified by their severity based on the Child-Pugh scoring system. Currently, Child-Pugh scoring consists of ascites, hepatic encephalopathy (HE), prothrombin time, serum albumin level, and total bilirubin level. Lipid panel in CLD is a great marker in determining the severity of CLD. Method and methodology: It was a descriptive cross-sectional study conducted at a tertiary care hospital. A sample size of 122 was calculated by using a RaoSoft Digital Sample Size Calculator (RaoSoft, Inc., Seattle, WA) in which we used 5% as a margin of error, 95% as confidence interval (CI), 178 as population size, and response distribution as 50%. Non-complicated CLD patients having age in between 15 and 80 years with no cirrhotic complications including HE, spontaneous bacterial peritonitis, hepato-pumonary, or hepato-renal syndrome were included in our study; the rest of the CLD patients were excluded from our study. Results: The mean age of the study population was 47.09 ± 12.30 years with more than half of the patients lying among the age group 25-50 years. The study population included 76% of males (n=93) and 24% of females (n=29), with a mean age of females higher than the males. Diabetes mellitus (58.19%) was the most frequent comorbidity associated with CLD in subjects included in our study. Parameters of lipid panel were decreased exponentially as the severity of CLD increases from Child score A to C. Total cholesterol, low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL), high-density lipoprotein (HDL), and triglyceride (TG) level decreased as the severity increases in our study. The mean model for end-stage liver disease (MELD) score increased as per hypothesized as the severity increases from Child score A to Child score C, respectively. Conclusion: Our study concluded that as the severity of CLD increases from Child class A to Child class C, the lipid panel profile decreases exponentially which proved the idea that had been hypothesized at the beginning of our study. |
format | Online Article Text |
id | pubmed-7671171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-76711712020-11-18 Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital Tauseef, Abubakar Zafar, Maryam Rashid, Behzad Thirumalareddy, Joseph Chalfant, Victor Farooque, Umar Mirza, Mohsin Cureus Internal Medicine Introduction: Chronic liver disease (CLD) is a term used to describe a wide spectrum of disorders, including idiopathic, infectious, genetic, drug-induced, toxin-induced, and autoimmune disorders. The common consequence of chronic damage to the liver is cirrhosis. Cirrhotic patients are further classified by their severity based on the Child-Pugh scoring system. Currently, Child-Pugh scoring consists of ascites, hepatic encephalopathy (HE), prothrombin time, serum albumin level, and total bilirubin level. Lipid panel in CLD is a great marker in determining the severity of CLD. Method and methodology: It was a descriptive cross-sectional study conducted at a tertiary care hospital. A sample size of 122 was calculated by using a RaoSoft Digital Sample Size Calculator (RaoSoft, Inc., Seattle, WA) in which we used 5% as a margin of error, 95% as confidence interval (CI), 178 as population size, and response distribution as 50%. Non-complicated CLD patients having age in between 15 and 80 years with no cirrhotic complications including HE, spontaneous bacterial peritonitis, hepato-pumonary, or hepato-renal syndrome were included in our study; the rest of the CLD patients were excluded from our study. Results: The mean age of the study population was 47.09 ± 12.30 years with more than half of the patients lying among the age group 25-50 years. The study population included 76% of males (n=93) and 24% of females (n=29), with a mean age of females higher than the males. Diabetes mellitus (58.19%) was the most frequent comorbidity associated with CLD in subjects included in our study. Parameters of lipid panel were decreased exponentially as the severity of CLD increases from Child score A to C. Total cholesterol, low-density lipoprotein (LDL), very-low-density lipoprotein (VLDL), high-density lipoprotein (HDL), and triglyceride (TG) level decreased as the severity increases in our study. The mean model for end-stage liver disease (MELD) score increased as per hypothesized as the severity increases from Child score A to Child score C, respectively. Conclusion: Our study concluded that as the severity of CLD increases from Child class A to Child class C, the lipid panel profile decreases exponentially which proved the idea that had been hypothesized at the beginning of our study. Cureus 2020-10-18 /pmc/articles/PMC7671171/ /pubmed/33214947 http://dx.doi.org/10.7759/cureus.11019 Text en Copyright © 2020, Tauseef et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Internal Medicine Tauseef, Abubakar Zafar, Maryam Rashid, Behzad Thirumalareddy, Joseph Chalfant, Victor Farooque, Umar Mirza, Mohsin Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital |
title | Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital |
title_full | Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital |
title_fullStr | Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital |
title_full_unstemmed | Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital |
title_short | Correlation of Fasting Lipid Profile in Patients With Chronic Liver Disease: A Descriptive Cross-Sectional Study in Tertiary Care Hospital |
title_sort | correlation of fasting lipid profile in patients with chronic liver disease: a descriptive cross-sectional study in tertiary care hospital |
topic | Internal Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671171/ https://www.ncbi.nlm.nih.gov/pubmed/33214947 http://dx.doi.org/10.7759/cureus.11019 |
work_keys_str_mv | AT tauseefabubakar correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital AT zafarmaryam correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital AT rashidbehzad correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital AT thirumalareddyjoseph correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital AT chalfantvictor correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital AT farooqueumar correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital AT mirzamohsin correlationoffastinglipidprofileinpatientswithchronicliverdiseaseadescriptivecrosssectionalstudyintertiarycarehospital |