Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.cmi.2020.07.030 http://scihub22266oqcxt.onion/10.1016/j.cmi.2020.07.030 32717417!7378475!32717417     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Microbiol+Infect 2020 ; 26 (10): 1417.e5-1417.e8 Nephropedia Template TP {{tp|p=32717417|t=2020. CT lung lesions as predictors of early death or ICU admission in COVID-19 patients |pdf=|usr=}}{{32717417}} gab.com Text CT lung lesions as predictors of early death or ICU admission in COVID-19 patients JO: Clin Microbiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32717417 #FOAvip OBJECTIVE: The main objective of this study was to investigate the prognostic value of early systematic chest computed tomography (CT) with quantification of lung lesions in coronavirus disease 2019 (COVID-19) patients. METHODS: We studied 572 patients diagnosed with COVID-19 (confirmed using polymerase chain reaction) for whom a chest CT was performed at hospital admission. Visual quantification was used to classify patients as per the percentage of lung parenchyma affected by COVID-19 lesions: normal CT, 0-10%, 11-25%, 26-50%, 51-75% and >75%. The primary endpoint was severe disease, defined by death or admission to the intensive care unit in the 7 days following first admission. RESULTS: The mean patient age was 66.0 +/- 16.0 years, and 343/572 (60.0%) were men. The primary endpoint occurred in 206/572 patients (36.0%). The extent of lesions on initial CT was independently associated with prognosis (odds ratio = 2.35, 95% confidence interval 1.24-4.46; p < 0.01). Most patients with lung involvement >50% (66/95, 69.5%) developed severe disease compared to patients with lung involvement of 26-50% (70/171, 40.9%) and </=25% (70/306, 22.9%) (p < 0.01 and p < 0.01, respectively). None of the patients with normal CT (0/14) had severe disease. CONCLUSION: Chest CT findings at admission are associated with outcome in COVID-19 patients. Twit Text FOAVip CT lung lesions as predictors of early death or ICU admission in COVID-19 patients ????Clin Microbiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32717417 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32717417 #FOAvip English Wikipedia <ref>{{Cite pmid|32717417}}</ref> CT lung lesions as predictors of early death or ICU admission in COVID-19 patients #MMPMID32717417 Ruch Y; Kaeuffer C; Ohana M; Labani A; Fabacher T; Bilbault P; Kepka S; Solis M; Greigert V; Lefebvre N; Hansmann Y; Danion F Clin Microbiol Infect 2020[Oct]; 26 (10): 1417.e5-1417.e8 PMID32717417show ga OBJECTIVE: The main objective of this study was to investigate the prognostic value of early systematic chest computed tomography (CT) with quantification of lung lesions in coronavirus disease 2019 (COVID-19) patients. METHODS: We studied 572 patients diagnosed with COVID-19 (confirmed using polymerase chain reaction) for whom a chest CT was performed at hospital admission. Visual quantification was used to classify patients as per the percentage of lung parenchyma affected by COVID-19 lesions: normal CT, 0-10%, 11-25%, 26-50%, 51-75% and >75%. The primary endpoint was severe disease, defined by death or admission to the intensive care unit in the 7 days following first admission. RESULTS: The mean patient age was 66.0 +/- 16.0 years, and 343/572 (60.0%) were men. The primary endpoint occurred in 206/572 patients (36.0%). The extent of lesions on initial CT was independently associated with prognosis (odds ratio = 2.35, 95% confidence interval 1.24-4.46; p < 0.01). Most patients with lung involvement >50% (66/95, 69.5%) developed severe disease compared to patients with lung involvement of 26-50% (70/171, 40.9%) and |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Betacoronavirus/genetics/*pathogenicity[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques/methods[MESH] |Coronavirus Infections/diagnosis/*diagnostic imaging/*mortality/physiopathology/virology[MESH] |Female[MESH] |Humans[MESH] |Intensive Care Units[MESH] |Lung/*diagnostic imaging/physiopathology/virology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnostic imaging/*mortality/physiopathology/virology[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |Reverse Transcriptase Polymerase Chain Reaction[MESH] |SARS-CoV-2[MESH] |Severity of Illness Index[MESH] |Survival Analysis[MESH]CT lung lesions as predictors of early death or ICU admission in COVID(epmc).pdf DeepDyve Pubget Overpricing