Internal and Emergency Medicine
IF
3.40
Papers
2,981
Papers 2,893
1 page of 290 pages (2,893 results)
Newest
#1Hung-Yi Chen (NDMC: National Defense Medical Center)
#2Hsing-Hao Ho (NDMC: National Defense Medical Center)
Last. Jung-Chun Lin (NDMC: National Defense Medical Center)H-Index: 2
view all 5 authors...
Source
#1Florent Noël (University of Paris)H-Index: 2
Last. Pierre-Clément Thiebaud (University of Paris)H-Index: 2
view all 6 authors...
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Source
#1Tahar Chouihed (UL: University of Lorraine)H-Index: 14
#2Adrien BassandH-Index: 6
Last. Nicolas Girerd (UL: University of Lorraine)H-Index: 32
view all 12 authors...
BREST and PREDICA scores have recently emerged for the diagnosis of acute heart failure (AHF) in the emergency department (ED). This study aimed to perform a head-to-head comparison in a large contemporary cohort. BREST and PREDICA scores were calculated from, respectively, 11 and 8 routine clinical variables recorded in the ED in 1386 patients from the PArADIsE cohort. The diagnostic performance of the scores for adjudicated AHF diagnosis was assessed by the area under the ROC curve (AUC). Acut...
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#1Donato Lacedonia (University of Foggia)H-Index: 21
#2Michele CorrealeH-Index: 23
Last. Maria Pia Foschino Barbaro (University of Foggia)H-Index: 22
view all 9 authors...
Idiopathic pulmonary fibrosis (IPF) is a specific form of chronic, progressive, fibrosing interstitial pneumonia of unknown cause that leads to respiratory failure and death within few years of diagnosis. Pulmonary hypertension (PH) is a common complication in IPF, where it is strongly associated with increased morbidity and mortality. Patients with IPF and PH have particularly poor prognosis, despite current best medical therapies and the anti-fibrotic therapy with pirfenidone or nintedanib. Th...
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#1Lorenzo Loffredo (Sapienza University of Rome)H-Index: 42
#2A. Fallarino (Sapienza University of Rome)
Last. Francesco Violi (Sapienza University of Rome)H-Index: 87
view all 7 authors...
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#1David Spirk (UB: University of Bern)H-Index: 16
#2Tim Sebastian (UZH: University of Zurich)H-Index: 9
Last. Stefano Barco (UZH: University of Zurich)H-Index: 23
view all 10 authors...
We aimed to evaluate the impact of age, sex, and their interactions with provoking risk factors for deep vein thrombosis (DVT). In addition, we intended to provide additional insights on risk factors associated with the isolated distal versus proximal presentation of first symptomatic acute DVT, both being characterized by different prognosis. In the present analysis from the SWIss Venous ThromboEmbolism Registry (SWIVTER), we compared demographic and baseline characteristics in patients with is...
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#1Lars Grant (Jewish General Hospital)
#2Pil Joo (Ottawa Hospital)
Last. Venkatesh Thiruganasambandamoorthy (Ottawa Hospital)H-Index: 19
view all 4 authors...
Artificial Intelligence and machine learning (ML) methods are promising for risk-stratification, but the added benefit over traditional statistical methods remains unclear. We compared predictive models developed using machine learning (ML) methods to the Canadian Syncope Risk Score (CSRS), a risk-tool developed with logistic regression for predicting serious adverse events (SAE) after emergency department (ED) disposition for syncope. We used the prospective multicenter cohort data collected fo...
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#1Santi Di Pietro (UNIPV: University of Pavia)H-Index: 2
#2Ilaria Ferrari (UNIPV: University of Pavia)H-Index: 27
Last. Stefano Perlini (UNIPV: University of Pavia)H-Index: 46
view all 4 authors...
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