Impact on Mental, Physical and Cognitive functioning of a Critical care sTay during the COVID-19 pandemic (IMPACCT COVID-19): protocol for a prospective, multicentre, mixed-methods cohort study
Bibliographic record
Abstract
INTRODUCTION: The ongoing pandemic could affect the duration, variety and severity of the mental, physical, and cognitive impairments intensive care unit (ICU) survivors and their families frequently present. We aim to determine the impact of the COVID-19 pandemic on the mental, physical, and cognitive health of survivors, the experience of their families and their treating healthcare professionals. METHODS AND ANALYSIS: Prospective, multicentre, mixed-methods cohort study in seven Chilean ICUs. SAMPLE: 450 adults, able to walk independently prior to admission, in ICU and mechanical ventilation >48 hours with and without COVID-19. Clinical Frailty Scale, Charlson comorbidity index, mobility (Functional Status Score for the Status Score for the Intensive Care Unit) and muscle strength (Medical Research Council Sum Score) will be assessed at ICU discharge. Cognitive functioning (Montreal Cognitive Assessment-blind), anxiety and depression (Hospital Anxiety and Depression Scale), post-traumatic stress (Impact of Event Scale-Revised) symptoms, disability (WHO Disability Assessment Schedule 2.0), quality of life (European Quality of Life Health Questionnaire), employment and survival will be assessed at ICU discharge, 3 months and 6 months. A sample will be assessed using actigraphy and the Global Physical Activity Questionnaire at 6 months after ICU discharge. Trajectories of mental, physical, and cognitive impairments will be estimated using multilevel longitudinal modelling. A sensitivity analysis using multiple imputations will be performed to account for missing data and loss-to-follow-up. Survival will be analysed using Kaplan-Meier curves. The perceptions of family members regarding the ICU stay and the later recovery will be explored 3 months after discharge. Healthcare professionals will be invited to discuss the challenges faced during the pandemic using semistructured interviews. Interviews will be thematically analysed by two independent coders to identify the main themes of the experience of family members and healthcare professionals. ETHICS AND DISSEMINATION: The study was approved by the Clinica Alemana Universidad del Desarrollo Ethics Committee (2020-78) and each participating site. Study findings will be published in peer-reviewed journals and disseminated through social media and conference meetings. TRIAL REGISTRATION NUMBER: NCT04979897.
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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 | 0.022 | 0.012 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".