Depression in cirrhosis – a prospective evaluation of the prevalence, predictors and development of a screening nomogram
Bibliographic record
Abstract
BACKGROUND: Depression is associated with substantial morbidity and mortality in cirrhosis, but is underdiagnosed and undertreated. AIMS: Using the Mini International Neuropsychiatric Interview (MINI) as a gold-standard, to determine prevalence, predictors, and outcomes of depression, and to develop a screening nomogram for use in cirrhosis patients. METHODS: Cirrhotic outpatients 18-80 years of age, not on anti-depressants, were consecutively recruited from liver clinics at three tertiary care hospitals. Baseline health-related quality of life (HRQoL) and frailty were determined by the chronic liver disease questionnaire, EQ-VAS, Clinical Frailty Scale and Fried Frailty Criteria. Depression was identified using the MINI and participants were followed up to 6 months to determine unplanned hospitalization/death. RESULTS: Of 305 patients, 62% were male; mean age 55(10) years; mean MELD 12.5(5), 61% Child Pugh B/C. Prevalence of depression 18% by MINI. Patients with depression had lower baseline HRQoL and higher frailty scores. Five independently predictive factors were used to develop a clinical nomogram for the diagnosis of clinical depression. These included three Hospital Anxiety and Depression Screening tool variables: "I have lost interest in my appearance" (adjusted odds ratio [aOR] 2.2, P = 0.006), "I look forward with enjoyment to things" (aOR 2.0, P = 0.02), "I feel cheerful" (aOR 2.8, P = 0.002), and two demographic variables: younger age (aOR 0.92, P = 0.001) and not being married or in a common-law relationship (aOR 0.30, P = 0.008). CONCLUSIONS: Depression is common in patients with cirrhosis. It has a significant impact on HRQoL and functional status. The developed clinical nomogram is promising for the rapid screening of depression in patients with cirrhosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".