BREAKING: Madonna has postponed her tour after falling seriously ill. The singer has been in intensive care.
has been in intensive care after contracting a ‘serious bacterial infection.’
She had contracted the infection on June 24, and while her health is now ‘improving’ she is still ‘under medical care.’planned tour is being postponedHer manager confirmed the news in a statement, writing: ‘On Saturday June 24, Madonna developed a serious bacterial infection which lead to a several day stay in the ICU.The 64-year-old is still under medical supervision ‘We will share more details with you soon as we have them, including a new start date for the tour and for rescheduled shows.
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Madonna cancels tour after 'serious' infection lands her in ICUMadonna's agent has confirmed that she has 'paused' her tour after coming down with the illness.
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Madonna postpones tour after stay in intensive careMadonna has postponed her tour after falling ill and staying several days in intensive care.
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A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study - Respiratory ResearchBackground The identification of critically ill COVID-19 patients at risk of fatal outcomes remains a challenge. Here, we first validated candidate microRNAs (miRNAs) as biomarkers for clinical decision-making in critically ill patients. Second, we constructed a blood miRNA classifier for the early prediction of adverse outcomes in the ICU. Methods This was a multicenter, observational and retrospective/prospective study including 503 critically ill patients admitted to the ICU from 19 hospitals. qPCR assays were performed in plasma samples collected within the first 48 h upon admission. A 16-miRNA panel was designed based on recently published data from our group. Results Nine miRNAs were validated as biomarkers of all-cause in-ICU mortality in the independent cohort of critically ill patients (FDR | 0.05). Cox regression analysis revealed that low expression levels of eight miRNAs were associated with a higher risk of death (HR from 1.56 to 2.61). LASSO regression for variable selection was used to construct a miRNA classifier. A 4-blood miRNA signature composed of miR-16-5p, miR-192-5p, miR-323a-3p and miR-451a predicts the risk of all-cause in-ICU mortality (HR 2.5). Kaplan‒Meier analysis confirmed these findings. The miRNA signature provides a significant increase in the prognostic capacity of conventional scores, APACHE-II (C-index 0.71, DeLong test p-value 0.055) and SOFA (C-index 0.67, DeLong test p-value 0.001), and a risk model based on clinical predictors (C-index 0.74, DeLong test-p-value 0.035). For 28-day and 90-day mortality, the classifier also improved the prognostic value of APACHE-II, SOFA and the clinical model. The association between the classifier and mortality persisted even after multivariable adjustment. The functional analysis reported biological pathways involved in SARS-CoV infection and inflammatory, fibrotic and transcriptional pathways. Conclusions A blood miRNA classifier improves the early prediction of fatal outcomes in critically
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