Hypertension as a prognostic factor in the prediction of mortality in patients with COVID-19: a systematic review and meta-analysis
Notice bibliographique
Résumé
Abstract Background The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) brought the majority of the world into a halt when it started to spread outside the virus epicenter in Wuhan, China. With the alarming increase in the number of cases and deaths worldwide, the possible risk factors should be determined in order to have a general idea on those who are more susceptible to have this disease. Hypertension, being one of the world's leading causes of noncommunicable diseases, was identified by the CDC to be one of underlying medical conditions that might pose an increased risk for severe illness from COVID-19. Objective The aim of this study is to determine the predictive value of hypertension as a comorbidity in COVID-19 mortality. Materials and methods Participants included all patients clinically diagnosed with COVID-19, and have hypertension as their pre-existing medical condition. Studies were selected based on study design, participants, exposure, outcome, timing, setting and language. The following databases were searched from June to August 2020 for case control and cohort studies on MEDLINE and CINAHL, ScienceDirect, Clinical Key, OVID database, Wiley Online library, and UpToDate. The criteria for evaluation of risk of bias were based on the selection bias, comparability bias and outcome bias. All information gathered were collated and evaluated using the Newcastle-Ottawa Quality Assessment Scale and CEBM. Results Individual studies all showed a significant relationship between hypertension and mortality in COVID-19 patients. Odds ratio ranging from 1.75 to 28.88, and hazard ratio ranging from 1.49 to 3.32 are present in the studies. For the data analysis, Mantel Haenszel method and random effects model was used for case control studies with odds ratio as effect measure; while Inverse variance method and fixed model was used for cohort studies with hazard ratio as effect measure. Both groups showed significant positive association between mortality and hypertension as a prognostic factor. Overall odds ratio is 5.25 (2.42–11.40) with a p value of <0.ehab724.23931, and the pooled hazard ratio is 2.21 (1.75–2.80) with a p value of <0.ehab724.23931. This shows that there is an increased risk of mortality among COVID-19 patients with hypertension as a comorbid condition. Conclusions Hypertension as a comorbid condition is a prognostic factor in the prediction of mortality in hospitalized COVID-19 patients. The ten included studies showed that there is a significant positive association suggesting an increased risk of mortality in COVID-19 patients with hypertension. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): University of the East Ramon Magsaysay Memorial Medical Center College of Medicine Forest Plot HR Hypertension COVID
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,015 | 0,031 |
| Bibliométrie | 0,006 | 0,007 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».