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Enregistrement W2409453590

[Prognostic value of extra-vascular lung water index and pulmonary vascular permeability index in patients with ARDS].

2015· article· en· W2409453590 sur OpenAlex

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Notice bibliographique

RevuePubMed · 2015
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueInflammation biomarkers and pathways
Établissements canadiensDiscovery Air (Canada)
Organismes subventionnairesnon disponible
Mots-clésARDSMedicineOxygenation indexInternal medicineReceiver operating characteristicLogistic regressionUnivariate analysisCardiologyGastroenterologyLungMultivariate analysis
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

OBJECTIVE: To investigate the correlation of the extra-vascular lung water index (EVLWI) and the pulmonary vascular permeability index (PVPI) with disease severity and their prognostic value in patients with acute respiratory distress syndrome (ARDS). METHODS: A total of 44 patients with ARDS from October 2012 to June 2014 admitted in the Second Affiliated Hospital of Wenzhou Medical University were recruited in this study. According to the severity, patients were divided into three groups (Mild group, Moderate group and Severe group); the acute physiology and chronic health evaluation system II score (APACHE II), the lung injury score (LIS), the pulse contour curve continuous cardiac output (PiCCO) and other clinical indicators were respectively monitored in the period of 24, 48, 72 hrs after admission; then the correlation of EVLWI, PVPI and oxygenation index (OI) among groups were analyzed; According to the prognosis, patients were divided into the survival group and the death group, both given the univariate and multivariate Logistic regression analysis; EVLWI, PVPI, APACHE II score, LIS and lactic acid were admitted into the receiver operating characteristic (ROC) curve analysis, and the prognosis was evaluated respectively. RESULTS: With the increase of disease severity, LIS and lactic acid gradually increased, the difference was significant among the three groups of Mild, Moderate and Severe (P<0.05). And the APACHE II score also increased gradually with the severity, but the difference was statistically significant only between the Mild group and the Severe group (P<0.01). And likewise, mild, moderate, severe ARDS patients had 1, 6, 9 cases of death, respectively. The 28-day mortality rate increased gradually after admission, with a significant difference between the Mild group and the Severe group (P<0.05). When all the 44 patients of three severities (during the 24 hrs period and during the 72 hrs period) were compared, the OI gradually decreased with the increase of severity of ARDS, while EVLWI and PVPI ascended, and differences between any two groups were statistically significant (P<0.05). In addition, there was a significant negative correlation between EVLWI and OI or between PVPI and OI (r=-0.666, -0.763, all P<0.01), and a significant positive correlation between EVLWI and PVPI, the APACHE II score or LIS (r=0.929, 0.895, 0.661, all P<0.01). Besides, OI was a predictive protection factor of ARDS, whereas lactic acid, EVLWI and PVPI were risk factors. Multivariate Logistic regression analysis showed that EVLWI and lactic acid were risk factors for ARDS death (all P<0.05). ROC curve analysis results suggested EVLWI and lactic acid were risk factors, (odd ratio (OR)> 1, and 95%CI: 1.071-5.201, 5.201-99.852, all P<0.05). CONCLUSION: EVLWI, PVPI were positively correlated with the severity of ARDS illness; EVLWI can be used as an independent risk factor for forecasting ARDS death, jointing EVLWI with PVPI could improve the accuracy of ARDS death forecasting.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,433

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,174
Écart entre enseignants0,165 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle