Corpus overview


MeSH Disease

Human Phenotype



There are no seroprevalence terms in the subcorpus

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    Split ventilation with pressure regulators for patient-specific tidal volumes

    Authors: Lakshminarayan Srinivasan; Chris A Rishel; Barrett J. Larson; Juhwan Yoo; Ned Shelton

    doi:10.1101/2020.07.03.20145409 Date: 2020-07-06 Source: medRxiv

    As a measure of last resort during the COVID-19 pandemic, single mechanical ventilators have been repurposed to support multiple patients. In existing split-ventilator configurations using FDA-approved tubing adaptors, each patient receives the same inspiratory pressure, requiring careful matching of patients to avoid barotrauma MESHD. Progression of disease MESHD may cause tidal volumes to diverge from desired targets, and routine interventions (eg. suctioning) in one patient may adversely affect other patients. To overcome these limitations, we demonstrate a split-ventilator configuration that enables individualized patient management by incorporating a commonly available pressure regulator used for gas appliances. We validate this method by achieving various combinations of tidal volume in each of two synthetic lungs using a standard ventilator machine in combination with two gas flow analyzers. With further safety testing and instrumentation, pressure regulators may represent a viable path to substantially augment the capacity for ventilation in resource-constrained settings.

    Coronavirus Disease MESHD 2019 (COVID-19) in Italy: features on Chest Computed Tomography using a structured report system

    Authors: Grassi Roberto; Fusco Roberta; Belfiore Maria Paola; Montanelli Alessandro; Patelli Gianluigi; Urraro Fabrizio; Petrillo Antonella; Granata Vincenza; Sacco Palmino; Mazzei Maria Antonietta; Feragalli Beatrice; Reginelli Alfonso; Cappabianca Salvatore

    doi:10.21203/ Date: 2020-04-21 Source: ResearchSquare

    OBJECTIVE. To assess the use of a structured report system in the Chest Computed Tomography (CT) reporting of patients with suspicious viral pneumonia MESHD pneumonia HP by COVID-19 and the evaluation of the main CT patterns.MATERIALS AND METHODS. This study included 134 patients (43 women and 91 men; 68.8 years of mean age TRANS, range 29-93 years) with suspicious COVID-19 viral infection MESHD evaluated by reverse transcription real-time fluorescence polymerase chain reaction (RT-PCR) test. All patients underwent CT examinations at the time of admission. CT images were reviewed by two radiologists who identified COVID-19 CT patterns using a structured reports.RESULTS. Temporal difference mean value between RT-PCRs and CT scan was 0.18 days ±2.0 days. CT findings were positive for viral pneumonia MESHD pneumonia HP in 94.0% patients while COVID-19 was diagnosed at RT-PCR in 77.6% patients. Mean value of time for radiologist to complete the structured report was 8.5 min±2.4 min. The disease MESHD on chest CT predominantly affected multiple lobes and the main CT feature was GGOs with or without consolidation (96.8%). GGOs was predominantly bilateral (89.3%), peripheral (80.3%), multifocal/patching (70.5%). Consolidation disease MESHD was predominantly bilateral (83.9%) with prevalent peripheral (87.1%) and segmental (47.3%) distribution. Additional CT signs were the crazy-paving pattern in 75.4% of patients, the septal thickening in 37.3% of patients, the air bronchogram sign in 39.7% and the “reversed halo” sign in 23.8%. Less frequent characteristics at CT regard discrete pulmonary nodules, increased trunk diameter of the pulmonary artery, pleural effusion MESHD pleural effusion HP and pericardium effusion (7.9%, 6.3%, 14.3% and 16.7%, respectively). Barotrauma MESHD sign was absent in all the patients. High percentage (54.8%) of the patients had mediastinal lymphadenopathy HP lymphadenopathy MESHD.CONCLUSION. Using a Chest CT structured report, with a standardized language, we identified that the cardinal hallmarks of COVID-19 infection MESHD were bilateral, peripheral and multifocal/patching ground-glass opacities and bilateral consolidations with peripheral and segmental distribution. 

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MeSH Disease
Human Phenotype

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