Association of Type 2 Diabetes and Hepatic Encephalopathy in Chronic Liver Disease Patients
Bibliographic record
Abstract
Background Hepatic encephalopathy (HE) is an important complication of hepatic cirrhosis and is an independent predictor of mortality in patients with cirrhosis. The prevalence of type 2 diabetes continues to increase at an alarming rate around the world, with even more people being affected by prediabetes. Diabetes leads to increased gastric transit and orocecal time, increased glutamase activity, and intestinal bacterial overgrowth, which may increase intestinal ammonia production. Thus, we speculated that diabetes mellitus (DM) might predispose cirrhotic patients to development and/or exacerbation of HE. The main purpose of this study is to determine the association of DM with severe HE in patients with chronic liver disease (CLD). Methods This case-control study (122 cases and 122 controls) was conducted for 6 months on patients who fulfilled the inclusion criteria and were selected from the Medical department, Abbasi Shaheed Hospital, Karachi, after taking informed consent. Demographic data were presented as simple descriptive statistics giving mean and standard deviation and qualitative variables were presented as frequency and percentages. Chi-square was applied and the odds ratio (OR) was calculated taking a p-value of ≤ 0.05 as statistically significant. Results Out of a total of 244 patients, 122 patients had CLD with DM (case group) and 122 participants had CLD without DM (control group). The mean and standard deviation of age in the case and control groups in our study was 43.29±3.79 and 45.49±5.40. The mean and standard deviation of the duration of disease in the case and control groups in our study was 3.18±1.22 and 3.72±1.36. Males were 53 (43.44%) and 56 (45.10%) in the case and control groups, whereas females were 69 (56.56%) and 66 (54.10%) in the case and control groups, respectively. Out of 122 patients in the case group, 73 (59.84%) and 49 (40.16%) patients developed and did not develop severe HE, respectively. Out of 122 patients in the control group, 50 (40.98%) and 72 (59.02%) patients developed and did not develop severe HE, respectively. Binary logistic regression analysis showed an association of severe HE with DM (p-value: 0.93, OR: 1.033, 95% CI: 0.586-1.599). Conclusion This study demonstrates that HE is a common occurrence in CLD patients. There was not a direct relationship of DM with the severity of HE was observed. However, further research with larger sample size and involving a multicenter setting is warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".