Clinical and Laboratory Profile of COVID-19 Pneumonia Patients With a Complicated Post-Intensive Care Unit Hospital Course
Bibliographic record
Abstract
BACKGROUND: Characteristics of intensive care unit (ICU) downgrades who experience a complicated post-ICU ward course (ICU return or floor death) and the incidence of this phenomenon have not been examined in ICU survivors of coronavirus disease 2019 (COVID-19) pneumonia. The aim of the present study was to establish the rate of a complicated post-ICU ward course among survivors of COVID-19 pneumonia and describe the associated patient, ICU management, and serum biomarker characteristics. An additional aim was to compare these parameters between those who experienced a complicated post-ICU course and those who did not. METHODS: This was a retrospective study of patients who were admitted to the ICU with COVID-19 pneumonia and were downgraded to a hospital floor at the end of their initial ICU stay. Patients were divided based on a complicated or uncomplicated post-ICU course. Groups were compared with respect to relevant clinical variables. Serum biomarker levels were compared on day of ICU exit and were trended in the days preceding the downgrade. Ward stay of patients who had a complicated course was examined for notable floor events surrounding their decompensation. RESULTS: Eighteen out of 99 downgraded patients (18%) experienced a complicated post-ICU course, among them there were 14 returns (14%) and four deaths (4%). They had higher Charlson Comorbidity Index, higher Acute Physiology and Chronic Health Evaluation (APACHE) IV score, as well as higher D-dimer and C-reactive protein (CRP) at ICU departure. They were less likely to have received therapeutic anticoagulation and convalescent plasma during their ICU stay. On multivariable analysis, these parameters except D-dimer remained independently associated with a complicated course. Review of biomarker trends preceding ICU exit demonstrated an upward trajectory of D-dimer, CRP, and lactate dehydrogenase (LDH) in the complicated course group not mirrored by the uncomplicated course group. Examination of notable floor events leading up to decompensation revealed that in 50% the ward course was characterized by new cardiac disturbances. CONCLUSIONS: Our rate of ward death among ICU downgrades was similar to pre-COVID data, but the rate of ICU return was higher. Complicated post-ICU course patients were exhibiting upward biomarker trends at ICU exit, and their ward stay was punctuated by acute cardiac abnormalities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".