Caractéristiques épidémiologiques et cliniques des patients COVID-19 admis en réanimation à l’hôpital Donka de Conakry, Guinée : étude descriptive des 140 premiers cas hospitalisés
Bibliographic record
Abstract
Décrire les caractéristiques épidémiologiques et cliniques des patients COVID-19 admis au service de réanimation. Il s’agissait d’une étude prospective observationnelle de 4 mois (12 mars au 12 juillet) réalisée au service de réanimation du Centre de Traitement COVID-19 de l’Hôpital national Donka. Durant la période d’étude, 6044 malades ont été testés positifs au SARS-CoV-2 ; 140 parmi eux ont été admis en réanimation, soit une prévalence de 2,3 %. L’âge moyen des patients était de 59 ± 14 ans. La majorité des patients (79 %) était de sexe masculin. Concernant les comorbidités, 77 % des patients avaient au moins une comorbidité médicale, dont l’hypertension artérielle (55 %) et le diabète (38 %). Les signes cliniques les plus fréquents étaient la dyspnée, (81 %), l’asthénie physique (64 %) et la toux (60 %). La majorité de nos patients (91 %) a bénéficié d’une oxygénothérapie classique. Le syndrome de détresse respiratoire aiguë (SDRA) était la complication la plus représentée (38 %). Le taux de létalité était de 25 % sur l’ensemble des patients admis en réanimation. Une faible proportion de patients COVID-19 ont été admis en réanimation. Ces patients étaient principalement des personnes âgées et de sexe masculin, ayant au moins une comorbidité. La symptomatologie était dominée par la dyspnée et les complications par le SDRA. La létalité était comparable en Europe et aux États-Unis. To describe the epidemiological and clinical characteristics of COVID-19 patients admitted to the intensive care unit. This was a 4-month (from the 12th of March to the 12th of July) prospective and observational study carried out in the intensive care unit of the COVID-19 Treatment Centre at Donka National Hospital, Conakry, Guinea. During the duration of the study, 6044 patients tested positive for SARS-CoV-2, of whom 140 were admitted to intensive care, i.e. 2.31 %. The average age of the patients was 59 ± 14 years. The majority of patients were male, 79 % (n = 110). Concerning comorbidities, 77 % (n = 108) of the patients had at least one medical comorbidity, mainly hypertension (55 % of cases n= 77) and diabetes (38 % of cases n = 53). Main clinical signs were dyspnea (81 %), physical asthenia (64 %) and cough (60 %). The majority of our patients (91 %) benefited from conventional oxygen therapy. Acute Respiratory Distress Syndrome (ARDS) was the most represented complication (38 %). The lethality rate in resuscitation was 25 %. The rate of admission of COVID-19 patients to intensive care was relatively low, and it concerned mainly elderly, male patients with at least one comorbidity. The symptomatology was dominated by dyspnea and complications by ARDS with significant mortality.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".