COVID-19 in a rural intensive care unit in Northern British Columbia: Descriptive analysis of outcomes and demands on rural resources
Bibliographic record
Abstract
INTRODUCTION: This descriptive study reviews clinical outcomes of individuals admitted to a northern Canadian, rural intensive care unit (ICU) with severe COVID-19. It reports our site-specific data that is part of an ongoing global effort to gather data and guide therapy; the aims of this study were to describe participants admitted to our ICU with COVID-19 and illuminate challenges faced by rural and remote centres. METHODS: This retrospective study examined data from participants admitted to the ICU with COVID-19 pneumonia between 24th November 2020 and 28th February 2022. Using data from electronic and hardcopy health records, data were obtained according to standardised forms developed for the Short Period Incidence Study of Severe Acute Respiratory Infection. RESULTS: Eighty-five adult participants were admitted to our ICU with COVID-19. The median age of participants was 57 years old (range: 23-83 years); 49.4% were males and 50.6% were females. Of our cohort, 58.9% required mechanical ventilation at some point during their stay and the median duration of stay in our ICU was 5 days (range: 1-36 days). Amongst individuals included, 25.9% were discharged alive from our hospital on their index admission, 57.6% were transferred to another facility and 16.5% died in our facility. CONCLUSION: COVID-19 significantly strained our local ICU resources, necessitating high numbers of patient transfers. However, despite limited resources, patients at our site received contemporary guideline-based care for COVID-19 pneumonia. Future pandemic and surge capacity planning must ensure that rural and remote communities receive adequate additional resources to meet the anticipated needs of their local populations. INTRODUCTION: Cette étude descriptive examine les résultats cliniques des personnes admises dans une unité de soins intensifs rurale du nord du Canada avec une COVID-19 sévère. Elle rapporte des données spécifiques à notre site qui font partie d'un effort global en cours pour rassembler des données et guider la thérapie. Les objectifs de cette étude étaient de décrire les participants admis dans notre unité de soins intensifs avec la COVID-19 et d'éclairer les défis auxquels sont confrontés les centres ruraux et éloignés. MTHODES: Cette étude rétrospective a examiné les données des participants admis à l'unité de soins intensifs pour une pneumonie due à la COIVD-19 entre le 24 novembre 2020 et le 28 février 2022. Les données ont été obtenues à partir de dossiers médicaux électroniques et papier, selon des formulaires standardisés développés pour l'étude d'incidence à court terme des infections respiratoires aiguës sévères (SPRINT-SARI). RSULTATS: 85 participants adultes ont été admis dans notre unité de soins intensifs avec la COVID-19. L'âge médian des participants était de 57 ans (intervalle: 23-83 ans); 49,4% étaient des hommes et 50,6% des femmes. Dans notre cohorte, 58,9% ont eu besoin d'une ventilation mécanique à un moment ou à un autre de leur séjour et la durée médiane du séjour dans notre unité de soins intensifs était de 5 jours (intervalle: 1-36 jours). Parmi les personnes incluses, 25,9% sont sorties vivantes de notre hôpital lors de leur admission initiale, 57,6% ont été transférées dans un autre établissement et 16,5% sont décédées dans notre établissement. CONCLUSION: La COVID-19 a mis à rude épreuve les ressources de notre unité locale de soins intensifs, nécessitant un grand nombre de transferts de patients. Cependant, malgré des ressources limitées, les patients de notre site ont reçu des soins fondés sur des lignes directrices contemporaines pour la pneumonie due à la COVID-19. À l'avenir, la planification de la pandémie et de la capacité de pointe doit garantir que les communautés rurales et éloignées reçoivent des ressources supplémentaires adéquates pour répondre aux besoins anticipés de leurs populations locales.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".