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Tracheal intubation is one of the most commonly performed and high-risk interventions in critically ill patients. Limited information is available on adverse peri-intubation events.

To evaluate the incidence and nature of adverse peri-intubation events and to assess current practice of intubation in critically ill patients.

The International Observational Study to Understand the Impact and Best Practices of Airway Management in Critically Ill Patients (INTUBE) study was an international, multicenter, prospective cohort study involving consecutive critically ill patients undergoing tracheal intubation in the intensive care units (ICUs), emergency departments, and wards, from October 1, 2018, to July 31, 2019 (August 28, 2019, was the final follow-up) in a convenience sample of 197 sites from 29 countries across 5 continents.

Tracheal intubation.

The primary outcome was the incidence of major adverse peri-intubation events defined as at least 1 of the following events occurring within 30 minutes from ality was 32.8%.

In this observational study of intubation practices in critically ill patients from a convenience sample of 197 sites across 29 countries, major adverse peri-intubation events-in particular cardiovascular instability-were observed frequently.

In this observational study of intubation practices in critically ill patients from a convenience sample of 197 sites across 29 countries, major adverse peri-intubation events-in particular cardiovascular instability-were observed frequently.

This study investigated whether a quantitative faecal immunochemical test (FIT) could be used to select patients with either high- or low-risk symptoms of colorectal cancer for urgent investigation.

A double-blinded diagnostic accuracy study was conducted in 50 hospitals in England between October 2017 and December 2019. Patients were eligible for inclusion if they had been referred to secondary care with suspected colorectal cancer symptoms meeting national criteria for urgent referral and triaged to investigation with colonoscopy.

The study included 9822 patients, of whom 7194 (73.2 per cent) had high-risk symptoms, 1994 (20.3 per cent) low-risk symptoms, and 634 (6.5 per cent) had other symptoms warranting urgent referral. In patients with high-risk symptoms, the sensitivity of FIT for colorectal cancer at cut-off values of 2 and 10 μg haemoglobin per g faeces was 97.7 (95 per cent c.i. 95.0 to 99.1) and 92.2 (88.2 to 95.2) per cent respectively, compared with 94.3 (84.3 to 98.8) and 86.8 (74.7 to 94.5) per cent in patients with low-risk symptoms at the same cut-off points. At cut-off values of 2, 10, and 150 μg/g, the positive predictive value for colorectal cancer was 8.9, 16.2, and 30.5 per cent respectively for those with high-risk symptoms, and 8.4, 16.9, and 35.5 per cent for those with low-risk symptoms.

.FIT safely selects patients with high or low risk symptoms of colorectal cancer for investigation.

.FIT safely selects patients with high or low risk symptoms of colorectal cancer for investigation.

older patients undergoing percutaneous coronary intervention (PCI) represent a growing population sharing both a high ischemic and bleeding risk. Dual antiplatelet therapy (DAPT) reduces the incidence of thrombotic events but exposes patients to an increased risk of bleeding and subsequent mortality. Its optimal duration after PCI remains unclear.

to assess the impact of short-duration DAPT on both bleeding and ischemic events in the specific population of older patients undergoing PCI.

we performed a meta-analysis of randomised controlled trials comparing the safety and efficacy of standard versus very short duration (≤ 3months, followed by P2Y12 inhibitor monotherapy) DAPT after PCI with a drug-eluting stent in older patients.

four studies, representing 8,961 older patients, were finally included. Compared with standard duration, short-duration DAPT was associated with similar rates of major bleeding (relative risks, RR 0.70 [0.47; 1.05]) and the composite efficacy endpoint (RR 0.85 [0.63; 1.14]). There was a high level of heterogeneity between the studies (I2= 68%) regarding major bleeding.

our meta-analysis suggests that short DAPT may be a valid option in older patients after PCI but it also highlights the need for specific studies in such patients on optimal duration of antiplatelet therapy.

our meta-analysis suggests that short DAPT may be a valid option in older patients after PCI but it also highlights the need for specific studies in such patients on optimal duration of antiplatelet therapy.

Facing the increasing gap between high-throughput sequence data and limited functional insights, computational protein function annotation provides a high-throughput alternative to experimental approaches. learn more However, current methods can have limited applicability while relying on protein data besides sequences, or lack generalizability to novel sequences, species and functions.

To overcome aforementioned barriers in applicability and generalizability, we propose a novel deep learning model using only sequence information for proteins, named Transformer-based protein function Annotation through joint sequence-Label Embedding (TALE). For generalizability to novel sequences we use self attention-based transformers to capture global patterns in sequences. For generalizability to unseen or rarely seen functions (tail labels), we embed protein function labels (hierarchical GO terms on directed graphs) together with inputs/features (1D sequences) in a joint latent space. Combining TALE and a sequence similarity-based method, TALE+ outperformed competing methods when only sequence input is available. It even outperformed a state-of-the-art method using network information besides sequence, in two of the three gene ontologies. Furthermore, TALE and TALE+ showed superior generalizability to proteins of low similarity, new species, or rarely annotated functions compared to training data, revealing deep insights into the protein sequence-function relationship. Ablation studies elucidated contributions of algorithmic components toward the accuracy and the generalizability.

The data, source codes and models are available at https//github.com/Shen-Lab/TALE.

Supplementary data are available at Bioinformatics online.

Supplementary data are available at Bioinformatics online.

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