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10.1038/s41467-021-27797-1 http://scihub22266oqcxt.onion/10.1038/s41467-021-27797-1 35078982!8789854!35078982     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2022 ; 13 (1): 446 Nephropedia Template TP {{tp|p=35078982|t=2022. Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome |pdf=|usr=}}{{35078982}} gab.com Text Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=35078982 #FOAvip Following acute infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a significant proportion of individuals develop prolonged symptoms, a serious condition termed post-acute coronavirus disease 2019 (COVID-19) syndrome (PACS) or long COVID. Predictors of PACS are needed. In a prospective multicentric cohort study of 215 individuals, we study COVID-19 patients during primary infection and up to one year later, compared to healthy subjects. We discover an immunoglobulin (Ig) signature, based on total IgM and IgG3 levels, which - combined with age, history of asthma bronchiale, and five symptoms during primary infection - is able to predict the risk of PACS independently of timepoint of blood sampling. We validate the score in an independent cohort of 395 individuals with COVID-19. Our results highlight the benefit of measuring Igs for the early identification of patients at high risk for PACS, which facilitates the study of targeted treatment and pathomechanisms of PACS. Twit Text FOAVip Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=35078982 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35078982 #FOAvip English Wikipedia <ref>{{Cite pmid|35078982}}</ref> Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome #MMPMID35078982 Cervia C; Zurbuchen Y; Taeschler P; Ballouz T; Menges D; Hasler S; Adamo S; Raeber ME; Bachli E; Rudiger A; Stussi-Helbling M; Huber LC; Nilsson J; Held U; Puhan MA; Boyman O Nat Commun 2022[Jan]; 13 (1): 446 PMID35078982show ga Following acute infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a significant proportion of individuals develop prolonged symptoms, a serious condition termed post-acute coronavirus disease 2019 (COVID-19) syndrome (PACS) or long COVID. Predictors of PACS are needed. In a prospective multicentric cohort study of 215 individuals, we study COVID-19 patients during primary infection and up to one year later, compared to healthy subjects. We discover an immunoglobulin (Ig) signature, based on total IgM and IgG3 levels, which - combined with age, history of asthma bronchiale, and five symptoms during primary infection - is able to predict the risk of PACS independently of timepoint of blood sampling. We validate the score in an independent cohort of 395 individuals with COVID-19. Our results highlight the benefit of measuring Igs for the early identification of patients at high risk for PACS, which facilitates the study of targeted treatment and pathomechanisms of PACS. |Adult[MESH] |Aged[MESH] |Antibodies, Viral/blood/*immunology[MESH] |COVID-19/blood/*complications/diagnosis/*immunology[MESH] |Cohort Studies[MESH] |Cough/blood/complications/immunology[MESH] |Dyspnea/blood/complications/immunology[MESH] |Fatigue/blood/complications/immunology[MESH] |Female[MESH] |Fever/blood/complications/immunology[MESH] |Humans[MESH] |Immunoglobulin G/blood/*immunology[MESH] |Immunoglobulin M/blood/*immunology[MESH] |Male[MESH] |Middle Aged[MESH] |Post-Acute COVID-19 Syndrome[MESH] |ROC Curve[MESH]Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome(epmc).pdf DeepDyve Pubget Overpricing