| Literature DB >> 35135582 |
Marcus-Alexander Wörns1, Christian Labenz2,3, Michael Nagel4,5,6, Vanessa Weidner2, Sina Schulz2, Jens U Marquardt7, Peter R Galle2,3, Jörn M Schattenberg2,3,8, Marc Nguyen-Tat9.
Abstract
BACKGROUND: Patients with liver cirrhosis suffer from significantly reduced health-related quality of life and are often dependent on support from caregivers. In this context, caregivers often suffer from impaired quality of life (QoL) as well as psychosocial burden (PB). The aim of the present study was to identify factors influencing QoL and PB of caregivers in order to improve the social care of patients and caregivers.Entities:
Keywords: Burden of disease; Complications of liver cirrhosis; Decompensated liver cirrhosis; Quality of life
Mesh:
Year: 2022 PMID: 35135582 PMCID: PMC8822635 DOI: 10.1186/s12955-022-01923-z
Source DB: PubMed Journal: Health Qual Life Outcomes ISSN: 1477-7525 Impact factor: 3.186
Fig. 1Flow diagram showing the reasons for dropout of patients
Patient baseline characteristics at the time of study inclusion
| Variable | Patients with liver cirrhosis |
|---|---|
Male Gender n (%) | 72 (68%) |
Age of patients (years) median (IQR) | 63 (53; 69) |
Age of caregiver (years) median (IQR) | 59 (47; 66) |
Sodium (mmol/l) median (IQR) | 138 (135; 140) |
Creatinine (mg/dl) median (IQR) | 0.9 (0.8; 1.4) |
Bilirubin (mg/dl) median (IQR) | 1.8 (1; 2.6) |
Albumin (g/l) median (IQR) | 31 (26; 34) |
INR median (IQR) | 1.4 (1.2; 1.6) |
CRP (mg/l) median (IQR) | 8.1 (3.5; 18.5) |
White blood cell count (/nl) median (IQR) | 5.7 (4.6; 7.6) |
Hemoglobin (g/d) median (IQR) | 12.3 (10.2; 13.6) |
Platelets (/nl) median (IQR) | 99 (72; 147) |
MELD median (IQR) | 14 (10; 18) |
Child–Pugh score *A n (%) | 49 (46%) |
*B n (%) | 41 (39%) |
*C n (%) | 16 (15%) |
History of ascites n (%) | 60 (57%) |
History of spontaneous bacterial peritonitis n (%) | 9 (8%) |
History of hepatic encephalopathy n (%) | 28 (26%) |
History of variceal bleeding n (%) | 21 (20%) |
History of hepatorenal syndrome n (%) | 11 (10%) |
Univariate and multivariate analyses to identify predictors for poorer quality of life (SF-36) of caregivers in the total cohort, in patients with alcoholic liver cirrhosis, and in patients with non-alcoholic liver cirrhosis
| Variable | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| r | β | |||
| Total cohort | ||||
| Continued alcohol consumption | 0.259 | 0.079 | 0.292 | 0.003 |
| Psychosocial burden of caregivers (ZBI) | − 0.275 | 0.005 | − 0.310 | 0.003 |
| Health-related Quality of life of patients (CLDQ) | 0.182 | 0.062 | 0.139 | 0.167 |
| Alcoholic liver cirrhosis | ||||
| Continued alcohol consumption | 0.259 | 0.079 | 0.355 | 0.038 |
| Psychosocial burden of caregivers (ZBI) | − 0.275 | 0.005 | − 0.264 | 0.135 |
| Health-related Quality of life of patient (CLDQ) | 0.182 | 0.062 | − 0.043 | 0.796 |
| Non-alcoholic liver cirrhosis | ||||
| History of ascites | − 0.272 | 0.042 | − 0.094 | 0.516 |
| History of SBP | − 0.359 | 0.007 | − 0.216 | 0.091 |
| History of gastrointestinal bleeding | − 0.360 | 0.006 | − 0.210 | 0.097 |
| Health-related Quality of life of patients (CLDQ) | 0.344 | 0.009 | 0.071 | 0.610 |
| Psychosocial burden of caregivers (ZBI) | − 0.409 | 0.002 | − 0.358 | 0.010 |
Gender 1 for male, 2 for female; 1 for Alcohol consumption, 0 for no alcohol consumption; 1 for history of hepatic encephalopathy, 0 for no history of hepatic encephalopathy. Factors not predictive for SF-36 in the univariate analysis were gender, age, age of caregiver, sodium, creatine, bilirubin, albumin, INR, CRP, leucocytes, hemoglobin, platelets, MELD, Child–Pugh status, history of hepatorenal syndrome. With the remaining factors, a multivariate linear regression model with inclusion variable selection was built
ZBI, Zarit burden interview; CLDQ, chronic liver disease questionnaire; SBP, spontaneous bacterial peritonitis; SF-36, Short Form Health 36; INR, international standardized ratio; CRP, C-reactive protein; MELD, model of end-stage liver disease
Fig. 2Health-related quality of life of patients with liver cirrhosis as well as quality of life and psychosocial burden of caregivers. A displays health-related quality of life (CLDQ) of patients with liver cirrhosis stratified by alcoholic and non-alcoholic etiology (not significant). B displays quality of life (SF-36) of caregivers stratified by alcoholic and non-alcoholic liver cirrhosis (not significant). C displays psychosocial burden (ZBI) of caregivers stratified by alcoholic and non-alcoholic liver cirrhosis (not significant)
Univariate and multivariate analysis to identify predictors for a higher psychosocial burden (PB) in caregivers in the total cohort, in patients with alcoholic liver cirrhosis, and in patients with non-alcoholic liver cirrhosis
| Variable | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| r | β | |||
| Total cohort | ||||
| Continued alcohol consumption | 0.324 | 0.001 | 0.280 | 0.020 |
| History of HE | 0.390 | < 0.001 | 0.234 | 0.010 |
| Health-related Quality of life of patients (CLDQ) | − 0.419 | < 0.001 | − 0.199 | 0.030 |
| Quality of life of caregivers (SF-36) | − 0.275 | 0.005 | − 0.250 | 0.005 |
| Alcoholic liver cirrhosis | ||||
| Quality of life of patients (CLDQ) | − 0.419 | < 0.001 | − 0.254 | 0.083 |
| Continued calcohol consumption | 0.449 | 0.002 | 0.305 | 0.030 |
| History of HE | 0.390 | < 0.001 | 0.179 | 0.231 |
| Non-alcoholic liver cirrhosis | ||||
| Health-related quality of life of patients (CLDQ) | − 0.4 | 0.002 | 0.263 | 0.039 |
| Quality of life of caregivers (SF 36) | − 0.409 | 0.002 | − 0.135 | 0.299 |
| History of HE | 0.389 | 0.003 | 0.263 | 0.039 |
Gender 1 for male, 2 for female; 1 for Alcohol consumption, 0 for no alcohol consumption; 1 for history of hepatic encephalopathy, 0 for no history of hepatic encephalopathy. Factors not predictive for ZBI in the univariate analysis were gender, age, age of caregiver, sodium, creatine, bilirubin, albumin, INR, CRP, leucocytes, hemoglobin, platelets, MELD, Child–Pugh status, history of ascites, history of spontaneously bacterial peritonitis, history of gastrointestinal bleeding, history of hepatorenal syndrome. With the remaining factors, a multivariate linear regression model with inclusion variable selection was built
HE, hepatic encephalopathy; SF-36, short form health 36; INR, international standardized ratio; CRP, C-reactive protein