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Record W2409453590

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

2015· article· en· W2409453590 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePubMed · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsARDSMedicineOxygenation indexInternal medicineReceiver operating characteristicLogistic regressionUnivariate analysisCardiologyGastroenterologyLungMultivariate analysis
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.174
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it