| Literature DB >> 35460882 |
Kacey A Berry1, Dorothea Kent1, Srilakshmi Seetharaman1, Randi Wong1, Yara Mohamad1, Frederick Yao1, Maria Nunez-Duarte2, Sharad I Wadhwani1, Brian J Boyarsky2, Robert S Rahimi3, Andres Duarte-Rojo4, Matthew R Kappus5, Michael L Volk6, Daniela P Ladner7, Dorry L Segev2, Mara McAdams-DeMarco2, Elizabeth C Verna8, Daniel R Ganger7, Jennifer C Lai9.
Abstract
INTRODUCTION: Loneliness, "a subjective feeling of being isolated", is a strong predictor of adverse health. We characterized loneliness in patients with end-stage liver disease (ESLD) awaiting liver transplantation (LT).Entities:
Keywords: Cirrhosis; End-stage liver disease; Frailty; Mental health; Psychosocial; Quality of life; Social isolation; Social support
Mesh:
Year: 2022 PMID: 35460882 PMCID: PMC9533335 DOI: 10.1016/j.aohep.2022.100718
Source DB: PubMed Journal: Ann Hepatol ISSN: 1665-2681 Impact factor: 3.388
Characteristics of 454 liver transplant candidates, categorized by loneliness status.
| Characteristics | All | By Loneliness Status | p-value | ||
|---|---|---|---|---|---|
| Lonely (score ≥ 5 | Not Lonely(score <5) | ||||
|
|
| ||||
| Age, years | 60 (53-64) | 57 (50-63) | 61 (54-65) | <0.001 | |
| Sex | Male | 64% | 52% | 69% | <0.001 |
| Female | 36% | 48% | 31% | ||
| Race/Ethnicity | Non-Hispanic White | 59% | 61% | 58% | 0.31 |
| Black | 5% | 2% | 6% | ||
| Hispanic | 25% | 24% | 26% | ||
| Asian | 9% | 12% | 8% | ||
| Other | 2% | 2% | 2% | ||
| Work status | Yes, Working | 23% | 15% | 26% | 0.08 |
| No, On disability | 30% | 36% | 27% | ||
| No, Retired | 34% | 31% | 35% | ||
| No, Other | 13% | 18% | 12% | ||
| Relationship Status | Committed partnership | 66% | 52% | 71% | <0.001 |
| Single | 19% | 21% | 18% | ||
| Separated or Divorced | 11% | 20% | 8% | ||
| Widowed | 4% | 7% | 3% | ||
| Unknown | 0% | 0% | 1% | 0.87 | |
| Highest education level achieved | ≤ 8th grade | 8% | 4% | 10% | |
| ≤12th grade | 33% | 39% | 31% | ||
| Any college | 48% | 44% | 49% | ||
| Any post-grad | 9% | 8% | 9% | ||
| Unknown | 3% | 4% | 2% | ||
| Frail (LFI≥4.4)[ | 14% | 21% | 12% | 0.01 | |
| Liver Frailty Index (LFI)[ | 3.7 (3.2-4.1) | 3.8 (3.4-4.3) | 3.6 (3.1-4.1) | <0.01 | |
| Weight, kg | 83.5 (69.9-96.6) | 83.5 (65.3-96.2) | 83.5 (70.8-96.9) | 0.34 | |
| Body mass index, kg/m2 | 28.6 (24.8-32.5) | 28.1 (24.2-32.8) | 28.6 (24.8-32.3) | 0.83 | |
| Etiology of liver disease | EtOH | 29% | 28% | 29% | 0.71 |
| Chronic hepatitis C | 25% | 24% | 25% | ||
| Non-alcoholic fatty liver disease | 20% | 21% | 20% | ||
| Autoimmune/cholestatic | 11% | 11% | 11% | ||
| Other | 15% | 16% | 15% | ||
| Hypertension | 48% | 47% | 48% | 0.98 | |
| Diabetes | 35% | 37% | 35% | 0.59 | |
| Coronary artery disease | 5% | 4% | 5% | 0.72 | |
| MELDNa | 14 (10-19) | 13 (9-19) | 14 (10-19) | 0.43 | |
| HCC | 33% | 32% | 34% | 0.68 | |
| Dialysis | 4% | 3% | 5% | 0.52 | |
| Ascites history | 61% | 58% | 62% | 0.45 | |
| Hepatic encephalopathy (HE) history | 55% | 62% | 53% | 0.08 | |
Median (interquartile range) or %
Using UCLA Three-Item Loneliness Scale, validated for interviewer-administered loneliness assessment
n=436. 18 subjects (4%) were unable to receive in-person LFI testing due to COVID19-related clinical constraints
Factors associated with loneliness among liver transplant candidates.
| Factor | Association with Loneliness (score≥5 | ||
|---|---|---|---|
| Univariable Analyses | Multivariable Models[ | ||
| Odds Ratio (95% CI)p-value | Odds Ratio (95% CI)p-value | ||
|
|
| ||
| Frailty (LFI≥4.4) | 2.05 (1.17-3.61) p=0.01 | 2.24 (1.23-4.08) p<0.01 | |
| Age, per 5-year decrease | 1.18 (1.07-1.30) p<0.01 | 1.19 (1.07-1.34) p<0.01 | |
| Female sex | 2.06 (1.40-3.16) p<0.01 | 1.83 (1.14-2.92) p=0.01 | |
| Race/ethnicity | Non-Hispanic White | Reference | Reference |
| Black | 0.27 (0.06-1.19) p=0.08 | 0.17 (0.03-0.82) p=0.03 | |
| Hispanic | 0.87 (0.52-1.44) p=0.58 | 0.72 (0.41-1.2) p=0.24 | |
| Asian | 1.35 (0.67-2.70) p=0.40 | 1.46 (0.68-3.12) p=0.33 | |
| Other | 0.77 (0.16-3.79) p=0.75 | 0.69 (0.13-3.70) p=0.66 | |
| Work status | Working | Reference | Reference |
| Not Working | 1.97 (1.13-3.44) p=0.02 | 2.16 (1.16-4.03) p<0.01 | |
| Relationship status | Committed partnership | Reference | Reference |
| No committed partnership | 2.26 (1.47-3.48) p<0.0005 | 2.07 (1.29-3.32) p<0.01 | |
| Unknown | 1 (n=2) | 1 (n=2) | |
| Highest level of education achieved | ≥12th grade | Reference | – |
| >12th grade | 0.85 (0.55-1.30) p=0.45 | – | |
| Unknown | 1.89 (0.57-6.23) p=0.30 | – | |
| Etiology | EtOH | 0.96 (0.60-1.52) p=0.85 | – |
| Other | Reference | – | |
| MELDNa | 0.99 (0.96-1.03) p=0.60 | – | |
| HCC | 0.91 (0.58-1.43) p=0.68 | – | |
| Ascites history | 0.88 (0.66-1.17) p=0.38 | – | |
| Hepatic Encephalopathy (HE) history | 1.46 (0.95-2.24) p=0.09 | – | |
Using UCLA Three-Item Loneliness Scale, a validated metric for loneliness scaled from 3-9, in which higher scores indicates higher degrees of loneliness. Given that various cut points have been reported in the literature1, we chose ≥5 as the cut-point for loneliness in our primary analysis because it balances sensitivity and specificity. We also performed several sensitivity analyses to test the robustness of our final multi-variable model; and none qualitatively change the results of our primary analysis: 1. alternate loneliness cut-points 2. simple linear regression, with total loneliness scores treat as a continuous interval outcome variable 3. Ordinal regression analyses: ordered logit and ordered probit regressions
Sensitivity analysis including all variables assessed in UV analysis—except for height and education due to high collinearity with sex and Hispanic race, respectively—did not qualitatively change the MV model. Likewise, excluding loneliness scale assessment modality in sensitivity analysis did not change the MV model.