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Record W4396902815 · doi:10.1155/2024/9469769

Cognitive Impairment and Fatigue in Intensive Care Patients Three Months after the Acute Phase of COVID‐19 Infection: Follow‐Up with Focus on Differences between the First and Later Waves of the Pandemic

2024· article· en· W4396902815 on OpenAlexaboutno aff
Marika C. Möller, Alison K. Godbolt, Å. Ingvarsson, Kristian Borg, Gabriela Markovic, E. Melin, Monika Löfgren, Catharina Nygren Deboussard

Bibliographic record

VenueActa Neurologica Scandinavica · 2024
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersStockholm läns landstingStockholms Läns LandstingKarolinska Institutet
KeywordsCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedicineCognitive impairmentCognitionIntensive careFocus (optics)PediatricsPhysical therapyPsychiatryIntensive care medicineInternal medicineVirologyDisease

Abstract

fetched live from OpenAlex

Background . Cognitive symptoms and fatigue may persist after intensive care unit (ICU) care. It remains unclear whether post‐COVID‐19 symptoms are related to ICU care itself or the infection. Objective . The primary aim was to investigate the prevalence of residual cognitive impairment and fatigue after ICU care for COVID‐19 and to evaluate the importance of demographic factors. A secondary aim was to investigate whether differences in ICU treatment between the first wave (March 2020 to July 2020) and later waves (August 2020 to January 2021) of COVID‐19 were associated with differences in cognitive outcomes. Design . Prospective follow‐up study. Subjects/Patients . Swedish cohort of COVID‐19 patients referred from ICU . Methods . Montreal Cognitive Assessment (MoCA), Multidimensional Fatigue Inventory‐20 (MFI‐20), Hospital Anxiety and Depression Scale, Insomnia Severity Scale, and RAND‐36 were administered approximately three months after admission to ICU. Mann–Whitney tests were used to investigate group differences, and multiple linear regression was used to investigate the relationship between fatigue and covarying factors. Results . 71 patients completed follow‐up, and 60 patients underwent a cognitive screening of which 30% had MoCA scores indicative of cognitive impairment (<26 points). Higher age was related to poorer cognitive performance. Patients scored above the normal range on all subscales on the MFI‐20. There was a significant difference in length of ICU stay between wave one and following waves, but no statistically significant differences emerged on cognitive screening. Intubated patients’ fatigue ratings were lower compared to those not intubated—despite longer ICU stay. No difference in MoCA scores emerged between patients who were, or were not, intubated. Conclusion . Cognitive impairment and fatigue were evident in patients three months after a severe COVID‐19 infection, but global cognitive functioning was not related to ICU length of stay. Less fatigue among patients who had been intubated merits further investigation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.297
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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