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Mashup Score: 1Journal Watch - 1 hour(s) ago
The best critical care literature, updated daily
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 21Paper of the Day - 5 hour(s) ago
Join us to read 1 paper per day and stay up-to-date as we cover the spectrum of critical care across 2023
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 37Journal Watch - 17 hour(s) ago
The best critical care literature, updated daily
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 37Journal Watch - 18 hour(s) ago
The best critical care literature, updated daily
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 32Atrophying Pityriasis Versicolor | NEJM - 20 hour(s) ago
A 30-year-old man presented with a 6-month history of depressed skin lesions on his back. Numerous well-defined, erythematous, atrophic plaques across the back were noted on physical examination.
Source: www.nejm.orgCategories: General Medicine News, Critical CareTweet
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Mashup Score: 37Journal Watch - 20 hour(s) ago
The best critical care literature, updated daily
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 37Journal Watch - 21 hour(s) ago
The best critical care literature, updated daily
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 9CCR25 - 22 hour(s) ago
Critical Care Reviews Meeting 2025, Titanic Belfast, June 11th to 13th. Featuring 12 major critical care trial results
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 208Paper of the Day - 1 day(s) ago
Join us to read 1 paper per day and stay up-to-date as we cover the spectrum of critical care across 2023
Source: criticalcarereviews.comCategories: General Medicine News, Critical CareTweet
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Mashup Score: 10
Background New-onset atrial fibrillation (NOAF) is the most common arrhythmia in critically ill patients admitted to intensive care and is associated with poor prognosis and disease burden. Identifying high-risk individuals early is crucial. This study aims to create and validate a NOAF prediction model for critically ill patients using machine learning (ML). Methods The data came from two non-overlapping datasets from the Medical Information Mart for Intensive Care (MIMIC), with MIMIC-IV used for training and subset of MIMIC-III used as external validation. LASSO regression was used for feature selection. Eight ML algorithms were employed to construct the prediction model. Model performance was evaluated based on identification, calibration, and clinical application. The SHapley Additive exPlanations (SHAP) method was used for visualizing model characteristics and individual case predictions. Results Among 16,528 MIMIC-IV patients, 1520 (9.2%) developed AF post-ICU admission. A model
Source: ccforum.biomedcentral.comCategories: General Medicine News, Critical CareTweet
🚩 SuperAdd Trial ➡️ assessor blinded RCT ➡️ 600 ASA 3-4 pts post high risk surgery ➡️ albumin supplementation to keep serum level >30 g/L or standard care ➡️ 1 outcome - postop complications ➡️ 84.7%% vs 87.3% (95% CI, -8.3% to 2.9%) CCR Journal Watch https://t.co/Sp06oA6IDG https://t.co/YmEpt1LAVc