FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2789162557> ?p ?o ?g. }

• W2789162557 endingPage "326" @default.
• W2789162557 startingPage "317" @default.
• W2789162557 abstract "Background Prediction of neurological outcome after cardiac arrest is a major challenge. The aim of this study was to assess whether quantitative whole-brain white matter fractional anisotropy (WWM-FA) measured by diffusion tensor imaging between day 7 and day 28 after cardiac arrest can predict long-term neurological outcome. Methods This prospective, observational, cohort study (part of the MRI-COMA study) was done in 14 centres in France, Italy, and Belgium. We enrolled patients aged 18 years or older who had been unconscious for at least 7 days after cardiac arrest into the derivation cohort. The following year, we recruited the validation cohort on the same basis. We also recruited a minimum of five healthy volunteers at each centre for the normalisation procedure. WWM-FA values were compared with standard criteria for unfavourable outcome, conventional MRI sequences (fluid-attenuated inversion recovery and diffusion-weighted imaging), and proton magnetic resonance spectroscopy. The primary outcome was the best achieved Glasgow-Pittsburgh Cerebral Performance Categories (CPC) at 6 months, dichotomised as favourable (CPC 1–2) and unfavourable outcome (CPC 3–5). Prognostication performance was assessed by the area under the receiver operating characteristic (ROC) curves and compared between groups. This study was registered with ClinicalTrials.gov, number NCT00577954. Findings Between Oct 1, 2006, and June 30, 2014, 185 patients were enrolled in the derivation cohort, of whom 150 had an interpretable multimodal MRI and were included in the analysis. 33 (22%) patients had a favourable neurological outcome at 6 months. Prognostic accuracy, as quantified by the area under the ROC curve, was significantly higher with the normalised WWM-FA value (area under the ROC curve 0·95, 95% CI 0·91–0·98) than with the standard criteria for unfavourable outcome or other MRI sequences. In a subsequent validation cohort of 50 patients (enrolled between April 1, 2015, and March 31, 2016), a normalised WWM-FA value lower than 0·91, set from the derivation cohort, had a negative predictive value of 71·4% (95% CI 41·9–91·6) and a positive predictive value of 100% (90·0–100), with 89·7% sensitivity (75·8–97·1) and 100% specificity (69·1–100) for the prediction of unfavourable outcome. Interpretation In patients who are unconscious 7 days after cardiac arrest, the normalised WWM-FA value, measured by diffusion tensor imaging, could be used to accurately predict neurological outcome at 6 months. This evidence requires confirmation from future large-scale trials with a strict protocol of withdrawal or limitation-of-care decisions and time window for MRI. Funding French Ministry of Health, French National Agency for Research, Italian Ministry of Health, and Regione Lombardia." @default.
• W2789162557 created "2018-03-06" @default.
• W2789162557 creator A5000005360 @default.
• W2789162557 creator A5000314659 @default.
• W2789162557 creator A5001052369 @default.
• W2789162557 creator A5001943118 @default.
• W2789162557 creator A5002219202 @default.
• W2789162557 creator A5005072018 @default.
• W2789162557 creator A5005956369 @default.
• W2789162557 creator A5007346051 @default.
• W2789162557 creator A5010339174 @default.
• W2789162557 creator A5018682768 @default.
• W2789162557 creator A5023836233 @default.
• W2789162557 creator A5025347195 @default.
• W2789162557 creator A5027238968 @default.
• W2789162557 creator A5030773426 @default.
• W2789162557 creator A5034966733 @default.
• W2789162557 creator A5035205639 @default.
• W2789162557 creator A5036135069 @default.
• W2789162557 creator A5036904693 @default.
• W2789162557 creator A5044444886 @default.
• W2789162557 creator A5044536321 @default.
• W2789162557 creator A5046498953 @default.
• W2789162557 creator A5046747223 @default.
• W2789162557 creator A5047964386 @default.
• W2789162557 creator A5051176970 @default.
• W2789162557 creator A5051759836 @default.
• W2789162557 creator A5052265648 @default.
• W2789162557 creator A5059663472 @default.
• W2789162557 creator A5061241486 @default.
• W2789162557 creator A5061623968 @default.
• W2789162557 creator A5062494963 @default.
• W2789162557 creator A5063148239 @default.
• W2789162557 creator A5064997820 @default.
• W2789162557 creator A5068979551 @default.
• W2789162557 creator A5070071339 @default.
• W2789162557 creator A5072188433 @default.
• W2789162557 creator A5074578462 @default.
• W2789162557 creator A5077433632 @default.
• W2789162557 creator A5080636963 @default.
• W2789162557 creator A5082410364 @default.
• W2789162557 creator A5084335269 @default.
• W2789162557 creator A5084811801 @default.
• W2789162557 creator A5085875530 @default.
• W2789162557 creator A5088222616 @default.
• W2789162557 creator A5088934635 @default.
• W2789162557 creator A5089356294 @default.
• W2789162557 creator A5090721303 @default.
• W2789162557 creator A5090830124 @default.
• W2789162557 date "2018-04-01" @default.
• W2789162557 modified "2023-10-18" @default.
• W2789162557 title "Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study" @default.
• W2789162557 cites W1916035025 @default.
• W2789162557 cites W1917220061 @default.
• W2789162557 cites W1969661146 @default.
• W2789162557 cites W2006617902 @default.
• W2789162557 cites W2015915282 @default.
• W2789162557 cites W2016984624 @default.
• W2789162557 cites W2017646480 @default.
• W2789162557 cites W2022264418 @default.
• W2789162557 cites W2022961959 @default.
• W2789162557 cites W2053824637 @default.
• W2789162557 cites W2060327991 @default.
• W2789162557 cites W2064497396 @default.
• W2789162557 cites W2081722315 @default.
• W2789162557 cites W2091308012 @default.
• W2789162557 cites W2102150307 @default.
• W2789162557 cites W2113811260 @default.
• W2789162557 cites W2117286964 @default.
• W2789162557 cites W2122506485 @default.
• W2789162557 cites W2130457419 @default.
• W2789162557 cites W2158475422 @default.
• W2789162557 cites W2161992525 @default.
• W2789162557 cites W2166596683 @default.
• W2789162557 cites W2171793470 @default.
• W2789162557 cites W2189726121 @default.
• W2789162557 cites W2296910921 @default.
• W2789162557 cites W2308800763 @default.
• W2789162557 cites W2324428652 @default.
• W2789162557 cites W2328176404 @default.
• W2789162557 cites W2337489893 @default.
• W2789162557 cites W2401324195 @default.
• W2789162557 cites W4245059104 @default.
• W2789162557 cites W4245344289 @default.
• W2789162557 cites W4247999440 @default.
• W2789162557 cites W2029117631 @default.
• W2789162557 doi "https://doi.org/10.1016/s1474-4422(18)30027-9" @default.
• W2789162557 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29500154" @default.
• W2789162557 hasPublicationYear "2018" @default.
• W2789162557 type Work @default.
• W2789162557 sameAs 2789162557 @default.
• W2789162557 citedByCount "115" @default.
• W2789162557 countsByYear W27891625572012 @default.
• W2789162557 countsByYear W27891625572018 @default.
• W2789162557 countsByYear W27891625572019 @default.
• W2789162557 countsByYear W27891625572020 @default.
• W2789162557 countsByYear W27891625572021 @default.
• W2789162557 countsByYear W27891625572022 @default.

• next