CLINICAL, LABORATORY AND NEUROLOGICAL ASSESSMENT OF LITHIUM TOXICITY IN PATIENTS WITH BIPOLAR DISORDERS.
Bibliographic record
Abstract
Objective: This study aimed to evaluate the clinical, laboratory, and neurological outcomes of lithium toxicity in patients with bipolar disorder. The primary objective was to assess the severity and frequency of lithium toxicity symptoms in relation to serum lithium levels. Secondary objectives included examining the long-term effects on cognitive function, renal and thyroid health, and the correlation between toxicity severity and hospitalization rates. Methods: This was a prospective cohort study conducted at Abbasi Shaheed Hospital Karachi, Pakistan from 1st January, 2023 to December 31st, 2023. A total of 120 patients with bipolar disorder on lithium therapy for at least six months were recruited, with 112 completing the study. Participants were assessed for toxicity severity, cognitive function using the Montreal Cognitive Assessment (MoCA), renal function (serum creatinine), and thyroid function (TSH). Outcomes were analyzed using SPSS 27.0, with statistical significance set at p < 0.05 and 95% confidence intervals reported. Results: Of the 112 participants, 59.8% exhibited mild toxicity, 29.5% moderate toxicity, and 10.7% severe toxicity. Serum lithium levels were significantly associated with toxicity severity (p < 0.001). Cognitive impairments were more pronounced in the moderate and severe groups, with MoCA scores significantly lower (p < 0.01). Renal impairment was observed in 19.6% of participants, and 13.4% exhibited thyroid dysfunction. Severe toxicity cases had a longer mean hospital stay of 12.6 days compared to mild cases (p < 0.001). Conclusion: Lithium toxicity in bipolar disorder patients is significantly associated with higher serum lithium levels, leading to cognitive, renal, and thyroid dysfunctions. These findings emphasize the importance of regular monitoring of lithium levels and organ function to prevent severe outcomes. This research supports the need for tailored lithium management strategies to improve patient safety and long-term treatment outcomes in clinical practice.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".