Psychosocial sequelae following cardiac arrest
Bibliographic record
Abstract
Ăvod: SrdeÄnĂ zĂĄstava (SZ) s nĂĄslednou cerebrĂĄlnĂ hypoxiĂ vede k multifaktoriĂĄlnĂmu poĹĄkozenĂ mozku. KognitivnĂ deficit a vyĹĄĹĄĂ mĂra depresivnĂch projevĹŻ jsou nejÄastÄji popisovanĂ˝mi psychickĂ˝mi dĹŻsledky SZ. CĂlem pĹedklĂĄdanĂŠ studie je charakterizovat psychosociĂĄlnĂ dĹŻsledky SZ.Metody: PrĹŻzkumnĂŠho ĹĄetĹenĂ se ĂşÄastnilo 113 osob. K 62 pacientĹŻm po SZ bylo dle demografickĂ˝ch charakteristik a premorbidnĂ inteligenÄnĂ ĂşrovnÄ pĹiĹazeno 51 zdravĂ˝ch jedincĹŻ. ĂÄastnĂkĹŻm byly pĹedloĹženy testy kognitivnĂ vĂ˝konnosti (Montreal Cognitive Assessment, MoCA), depresivnĂch (Beck Depression Inventory-II, BDI-II) a ĂşzkostnĂ˝ch projevĹŻ (State-Trait Anxiety Inventory, STAI) a sociĂĄlnĂch faktorĹŻ krize stĹednĂho vÄku (Ĺ kĂĄla faktorĹŻ krize stĹednĂho vÄku, Ĺ KSV).VĂ˝sledky: AnalĂ˝za ukĂĄzala, Ĺže pacienti po SZ vykazujĂ niŞťà kognitivnĂ vĂ˝konnost (p = 0,016) a vyĹĄĹĄĂ mĂru symptomĹŻ aktuĂĄlnĂ Ăşzkosti (p = 0,023). V Ăşrovni depresivnĂch symptomĹŻ (p = 0,435) a v dlouhodobĂŠ Ăşzkostnosti (p = 0,542) se pacienti po SZ neliĹĄili od kontrolnĂho souboru. Ex-post facto analĂ˝za zaloĹženĂĄ na logistickĂŠ regresi poukazuje na to, Ĺže nejsilnÄjĹĄĂm psychologickĂ˝m prediktorem SZ je pohlavĂ (OR = 4,45) a mĂra aktuĂĄlnÄ proĹžĂvanĂŠ Ăşzkosti (OR = 0,50). AnalĂ˝za diskriminaÄnĂ funkce ukazuje, Ĺže predikce vzniku SZ je zĂĄvislĂĄ na vÄku, kognitivnĂ vĂ˝konnosti a na mĂĹe aktuĂĄlnĂ Ăşzkosti (λ = 0,81, p = 0,028).ZĂĄvÄr: VĂ˝sledky studie ukazujĂ, Ĺže SZ mĂĄ vĂ˝znamnĂ˝ vliv na rozvoj neŞådoucĂch kognitivnĂch a neuropsychiatrickĂ˝ch projevĹŻ. ZaĹazenĂ psychosociĂĄlnĂ pĂŠÄe a neuropsychiatrickĂŠ lĂŠÄby do komplexnĂ pĂŠÄe o pacienty po SZ je ŞådoucĂ.
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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".