A case of myocardial damage caused by acute carbon monoxide intoxication
Bibliographic record
Abstract
本邦では,一酸化炭素(carbon monoxide: CO)中毒による自殺が多いが,CO中毒の合併症として意識障害が主に注目され,心機能低下についてはあまり知られていない。患者は29歳の男性である。車内でコンロを焚いて倒れているところを発見され,当院へ救急搬送された。来院時の意識レベルはJapan coma scale 200,脈拍数145/分,血圧124/80mmHg,carbon monoxide hemoglobin(CO-Hb)49.6%であった。CO-Hb値からCO中毒を疑い,気管挿管下に100%酸素を投与した。心電図上で虚血性変化を認めなかったが,心エコー検査の左室駆出率(left ventricular ejection fraction: LVEF)低下とトロポニンIの異常値から,心筋障害を併発していると診断した。 高気圧酸素療法(hyperbaric oxygen therapy: HBOT)施行後,意識状態が改善すると同時に尿量の増加とLVEFの改善を認めた。以上より,CO中毒患者の診療においては,脳への障害だけでなく心筋障害も念頭に置き,心エコー検査とトロポニンI測定をルーチンに行う必要があると考えられた。またCO中毒に対するHBOTは意識障害だけでなく,心筋障害に対しても有効である可能性が示された。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".