Dataset Information

The Impact of Liver Cell Injury on Health-Related Quality of Life in Patients with Chronic Liver Disease.

ABSTRACT: Patients with chronic liver disease often suffer from unspecific symptoms and report severe impairment in the quality of life. The underlying mechanisms are multifactorial and include disease-specific but also liver related causes. The current analysis evaluated the association of hepatocellular apoptosis in non-viral chronic liver disease and health-related quality of life (HRQL). Furthermore we examined factors, which influence patient's physical and mental well-being.A total of 150 patients with non-infectious chronic liver disease were included between January 2014 and June 2015. The German version of the Chronic Liver Disease Questionnaire (CLDQ-D), a liver disease specific instrument to assess HRQL, was employed. Hepatocellular apoptosis was determined by measuring Cytokeratin 18 (CK18, M30 Apoptosense ELISA).Female gender (5.24 vs. 5.54, p = 0.04), diabetes mellitus type II (4.75 vs. 5.46, p<0.001) and daily drug intake (5.24 vs. 6.01, p = 0.003) were associated with a significant impairment in HRQL. HRQL was not significantly different between the examined liver diseases. Levels of CK18 were the highest in patients with NASH compared to all other disease entities (p<0.001). Interestingly, CK18 exhibited significant correlations with obesity (p<0.001) and hyperlipidemia (p<0.001). In patients with cirrhosis levels of CK18 correlated with the MELD score (r = 0.18, p = 0.03) and were significantly higher compared to patients without existing cirrhosis (265.5 U/l vs. 186.9U/l, p = 0.047). Additionally, CK18 showed a significant correlation with the presence and the degree of hepatic fibrosis (p = 0.003) and inflammation (p<0.001) in liver histology. Finally, there was a small negative association between CLDQ and CK18 (r = -0.16, p = 0.048).Different parameters are influencing HRQL and CK18 levels in chronic non-viral liver disease and the amount of hepatocellular apoptosis correlates with the impairment in HRQL in chronic non-viral liver diseases. These findings support the role of liver-protective therapies for the improvement of the quality of life in chronic liver disease.

SUBMITTER: Alt Y

PROVIDER: S-EPMC4798400 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Impact of Liver Cell Injury on Health-Related Quality of Life in Patients with Chronic Liver Disease.

Alt Yvonne Y Grimm Anna A Schlegel Liesa L Grambihler Annette A Kittner Jens M JM Wiltink Jörg J Galle Peter R PR Wörns Marcus A MA Schattenberg Jörn M JM

PloS one 20160318 3

<h4>Background</h4>Patients with chronic liver disease often suffer from unspecific symptoms and report severe impairment in the quality of life. The underlying mechanisms are multifactorial and include disease-specific but also liver related causes. The current analysis evaluated the association of hepatocellular apoptosis in non-viral chronic liver disease and health-related quality of life (HRQL). Furthermore we examined factors, which influence patient's physical and mental well-being.<h4>Me ...[more]

PMID: 26990427

Similar Datasets

Project description:IntroductionDialysis patients are often prescribed a large number of medications to improve metabolic control and manage coexisting comorbidities. However, some studies suggest that a large number of medications could also detrimentally affect patients' health-related quality of life (HRQoL). Therefore, this study aims to provide insight in the association between the number of types of medications and HRQoL in dialysis patients.MethodsA multicentre cohort study was conducted among dialysis patients from Dutch dialysis centres 3 months after initiation of dialysis as part of the ongoing prospective DOMESTICO study. The number of types of medications, defined as the number of concomitantly prescribed types of drugs, was obtained from electronic patient records. Primary outcome was HRQoL measured with the Physical Component Summary (PCS) score and Mental Component Summary (MCS) score (range 0-100) of the Short Form 12. Secondary outcomes were number of symptoms (range 0-30) measured with the Dialysis Symptoms Index and self-rated health (range 0-100) measured with the EuroQol-5D-5L. Data were analysed using linear regression and adjusted for possible confounders, including comorbidity. Analyses for MCS and number of symptoms were performed after categorizing patients in tertiles according to their number of medications because assumptions of linearity were violated for these outcomes.ResultsA total of 162 patients were included. Mean age of patients was 58 ± 17 years, 35% were female, and 80% underwent haemodialysis. The mean number of medications was 12.2 ± 4.5. Mean PCS and MCS were 36.6 ± 10.2 and 46.8 ± 10.0, respectively. The mean number of symptoms was 12.3 ± 6.9 and the mean self-rated health 60.1 ± 20.6. In adjusted analyses, PCS was 0.6 point lower for each additional medication (95% confidence interval [95% CI]: -0.9 to -0.2; p = 0.002). MCS was 4.9 point lower (95% CI: -8.8 to -1.0; p = 0.01) and 1.0 point lower (95% CI: -5.1-3.1; p = 0.63) for the highest and middle tertiles of medications, respectively, than for the lowest tertile. Patients in the highest tertile of medications reported 4.1 more symptoms than in the lowest tertile (95% CI: 1.5-6.6; p = 0.002), but no significant difference in the number of symptoms was observed between the middle and lowest tertiles. Self-rated health was 1.5 point lower for each medication (95% CI: -2.2 to -0.7; p < 0.001).Discussion/conclusionAfter adjustment for comorbidity and other confounders, a higher number of medications were associated with a lower PCS, MCS, and self-rated health in dialysis patients and with more symptoms.

Project description:BackgroundPeople living with diabetes and chronic kidney disease (CKD) experience compromised quality of life. Consequently, it is critical to identify and understand factors influencing their health-related quality of life (HRQoL). This study examined factors associated with HRQoL among patients with diabetes and CKD.MethodsA cross sectional study among adults with comorbid diabetes and CKD (eGFR <60 mL/min/1.73m2) recruited from renal and diabetes clinics of four large tertiary referral hospitals in Australia was performed. Each participant completed the Kidney Disease Quality of Life (KDQoL ™ -36) questionnaire, which is comprised of two composite measures of physical and mental health and 3 kidney disease specific subscales with possible scores ranging from 0 to 100 with higher values indicating better HRQoL. Demographic and clinical data were also collected. Regression analyses were performed to determine the relationship between HRQoL and potential predictor factors.ResultsA total of 308 patients were studied with a mean age of 66.9 (SD = 11.0) years and 70% were males. Mean scores for the physical composite summary, mental composite summary, symptom/problem list, effects of kidney disease and burden of kidney disease scales were 35.2, 47.0, 73.8, 72.5 and 59.8 respectively. Younger age was associated with lower scores in all subscales except for the physical composite summary. Female gender, obese or normal weight rather than overweight, and smoking were all associated with lower scores in one or more subscales. Scores were progressively lower with more advanced stage of CKD (p<0.05) in all subscales except for the mental composite summary.ConclusionIn patients with diabetes and CKD, younger age was associated with lower scores in all HRQoL subscales except the physical composite summary and female gender, obese or normal weight and more advanced stages of CKD were associated with lower scores in one or more subscales. Identifying these factors will inform the timely implementation of interventions to improve the quality of life of these patients.

Dataset Information

The Impact of Liver Cell Injury on Health-Related Quality of Life in Patients with Chronic Liver Disease.

Publications

The Impact of Liver Cell Injury on Health-Related Quality of Life in Patients with Chronic Liver Disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets