Suicide Attempt Following Pacemaker Implantation in an Eighty-Three-Year-Old Male: A Case Report
Bibliographic record
Abstract
As the global population ages, cardiac pacing procedures are rising exponentially to keep pace with the increasing incidence of bradyarrhythmias. The efficacy of pacemakers is well established, but recipients may have poor psychosocial adaptation leading to development or exacerbation of mental disorders, that may manifest with anxiety, depressive symptoms or rarely suicidal tendencies. An 83-year-old male of African descent was referred to us for evaluation and expert management. He came with chief complaints of general body malaise, light-headedness, chest pain and fainting spells for about 6 months. He was diagnosed with hypertension 4 years prior, and there was no history of mental illness in the patient or his family. Echocardiography (ECHO) revealed features of hypertensive heart disease while electrocardiogram (ECG) showed features of third-degree heart block. He underwent successful pacing with a resultant ventricular paced rhythm. The patient was stable and symptom free post pacing, but on the fourth day he jumped off the window of the ward in the hospital's second floor. Post suicide attempt examination revealed epistaxis, right periorbital hematoma with a temporal lacerated wound and deformed ankles bilaterally. ECG showed a ventricular paced rhythm and the chest radiograph showed an intact pacemaker. Ophthalmological review was evident for right sided blepharospasm with massive chemosis and bilateral constricted reactive pupils. Radiological investigations showed right orbital fracture, stable C5 and C6 fractures, and bilateral bimalleolar fractures with ankle dislocation. Neurosurgical review was unremarkable and psychiatric review could not be performed. The patient died 18 h after the suicide attempt incidence. Emotional disturbances post pacing impairs the quality of life and in the worst case scenario could lead to unanticipated cessation of life. In view of this, thorough evaluation and monitoring of the patient's psychological well-being both pre and post pacing is paramount.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".