The CALL Score for Predicting Outcomes in Patients With COVID-19

被引:31
|
作者
Grifoni, Elisa [1 ]
Valoriani, Alice [2 ]
Cei, Francesco [2 ]
Vannucchi, Vieri [3 ]
Moroni, Federico [3 ]
Pelagatti, Lorenzo [3 ]
Tarquini, Roberto [2 ]
Landini, Giancarlo [3 ]
Masotti, Luca [1 ]
机构
[1] San Giuseppe Hosp, Internal Med 2, Viale Boccaccio 20, I-50053 Florence, Italy
[2] San Giuseppe Hosp, Internal Med 1, Empoli, Italy
[3] Santa Maria Nuova Hosp, Internal Med, Florence, Italy
关键词
D O I
10.1093/cid/ciaa686
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
引用
收藏
页码:182 / 183
页数:2
相关论文
共 50 条
  • [11] The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19
    Sebastian, Agata
    Madziarski, Marcin
    Madej, Marta
    Proc, Krzysztof
    Szymala-Pedzik, Malgorzata
    Zorawska, Joanna
    Gronek, Michal
    Morgiel, Ewa
    Kujawa, Krzysztof
    Skarupski, Marek
    Trocha, Malgorzata
    Rola, Piotr
    Gawrys, Jakub
    Letachowicz, Krzysztof
    Doroszko, Adrian
    Adamik, Barbara
    Kaliszewski, Krzysztof
    Kilis-Pstrusinska, Katarzyna
    Matera-Witkiewicz, Agnieszka
    Pomorski, Michal
    Protasiewicz, Marcin
    Sokolowski, Janusz
    Jankowska, Ewa Anita
    Madziarska, Katarzyna
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (19)
  • [12] A Practical Clinical Score Predicting Respiratory Failure in COVID-19 Patients
    Ashkenazi, Moshe
    Zimlichman, Eyal
    Zamstein, Noa
    Rahav, Galia
    Lerner, Reut Kassif
    Haviv, Yael
    Pessach, Itai M.
    ISRAEL MEDICAL ASSOCIATION JOURNAL, 2022, 24 (05): : 327 - 331
  • [13] Predicting Severe Outcomes in COVID-19
    Lipworth, Brian
    Chan, Rory
    Kuo, Chris R.
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE, 2020, 8 (08): : 2582 - 2584
  • [14] Federated learning for predicting clinical outcomes in patients with COVID-19
    Ittai Dayan
    Holger R. Roth
    Aoxiao Zhong
    Ahmed Harouni
    Amilcare Gentili
    Anas Z. Abidin
    Andrew Liu
    Anthony Beardsworth Costa
    Bradford J. Wood
    Chien-Sung Tsai
    Chih-Hung Wang
    Chun-Nan Hsu
    C. K. Lee
    Peiying Ruan
    Daguang Xu
    Dufan Wu
    Eddie Huang
    Felipe Campos Kitamura
    Griffin Lacey
    Gustavo César de Antônio Corradi
    Gustavo Nino
    Hao-Hsin Shin
    Hirofumi Obinata
    Hui Ren
    Jason C. Crane
    Jesse Tetreault
    Jiahui Guan
    John W. Garrett
    Joshua D. Kaggie
    Jung Gil Park
    Keith Dreyer
    Krishna Juluru
    Kristopher Kersten
    Marcio Aloisio Bezerra Cavalcanti Rockenbach
    Marius George Linguraru
    Masoom A. Haider
    Meena AbdelMaseeh
    Nicola Rieke
    Pablo F. Damasceno
    Pedro Mario Cruz e Silva
    Pochuan Wang
    Sheng Xu
    Shuichi Kawano
    Sira Sriswasdi
    Soo Young Park
    Thomas M. Grist
    Varun Buch
    Watsamon Jantarabenjakul
    Weichung Wang
    Won Young Tak
    Nature Medicine, 2021, 27 : 1735 - 1743
  • [15] Federated learning for predicting clinical outcomes in patients with COVID-19
    Dayan, Ittai
    Roth, Holger R.
    Zhong, Aoxiao
    Harouni, Ahmed
    Gentili, Amilcare
    Abidin, Anas Z.
    Liu, Andrew
    Costa, Anthony Beardsworth
    Wood, Bradford J.
    Tsai, Chien-Sung
    Wang, Chih-Hung
    Hsu, Chun-Nan
    Lee, C. K.
    Ruan, Peiying
    Xu, Daguang
    Wu, Dufan
    Huang, Eddie
    Kitamura, Felipe Campos
    Lacey, Griffin
    de Antonio Corradi, Gustavo Cesar
    Nino, Gustavo
    Shin, Hao-Hsin
    Obinata, Hirofumi
    Ren, Hui
    Crane, Jason C.
    Tetreault, Jesse
    Guan, Jiahui
    Garrett, John W.
    Kaggie, Joshua D.
    Park, Jung Gil
    Dreyer, Keith
    Juluru, Krishna
    Kersten, Kristopher
    Rockenbach, Marcio Aloisio Bezerra Cavalcanti
    Linguraru, Marius George
    Haider, Masoom A.
    AbdelMaseeh, Meena
    Rieke, Nicola
    Damasceno, Pablo F.
    Silva, Pedro Mario Cruz E.
    Wang, Pochuan
    Xu, Sheng
    Kawano, Shuichi
    Sriswasdi, Sira
    Park, Soo Young
    Grist, Thomas M.
    Buch, Varun
    Jantarabenjakul, Watsamon
    Wang, Weichung
    Tak, Won Young
    NATURE MEDICINE, 2021, 27 (10) : 1735 - +
  • [16] A Simple Scoring Model Predicting the Outcome of COVID-19 Patients: Tanta COVID Score
    Elhendawy, Mohammed
    El-Kalla, Ferial
    Abd-Elsalam, Sherief
    ElSharawy, Dalia
    Soliman, Shaimaa S.
    Abdelhai, Dina
    Hagras, Maha M.
    Khalaf, Mai
    Esmail, Eslam Saber
    Kobtan, Abdelrahman
    ENDOCRINE METABOLIC & IMMUNE DISORDERS-DRUG TARGETS, 2022, 22 (06) : 620 - 630
  • [17] The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients
    Antunez Muinos, Pablo Jose
    Lopez Otero, Diego
    Amat-Santos, Ignacio J.
    Lopez Pais, Javier
    Aparisi, Alvaro
    Cacho Antonio, Carla E.
    Catala, Pablo
    Gonzalez Ferrero, Teba
    Cabezon, Gonzalo
    Otero Garcia, Oscar
    Francisco Gil, Jose
    Perez Poza, Marta
    Candela, Jordi
    Rojas, Gino
    Jimenez Ramos, Victor
    Veras, Carlos
    Alberto San Roman, J.
    Gonzalez-Juanatey, Jose R.
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [18] The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients
    Pablo Jose Antunez Muiños
    Diego López Otero
    Ignacio J. Amat-Santos
    Javier López País
    Alvaro Aparisi
    Carla E. Cacho Antonio
    Pablo Catalá
    Teba González Ferrero
    Gonzalo Cabezón
    Oscar Otero García
    José Francisco Gil
    Marta Pérez Poza
    Jordi Candela
    Gino Rojas
    Víctor Jiménez Ramos
    Carlos Veras
    J. Alberto San Román
    José R. González-Juanatey
    Scientific Reports, 11
  • [19] Performance of a Severity Score on Admission Chest Radiography in Predicting Clinical Outcomes in Hospitalized Patients With Coronavirus Disease (COVID-19)
    Reeves, Russell A.
    Pomeranz, Corbin
    Gomella, Andrew A.
    Gulati, Aishwarya
    Metra, Brandon
    Hage, Anthony N.
    Lange, Steven
    Parekh, Maansi
    Donuru, Achala
    Lakhani, Paras
    Sundaram, Baskaran
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2021, 217 (03) : 623 - 632
  • [20] Predicting Criticality in COVID-19 Patients
    Hallman, Roger A.
    Chikkula, Anjali
    Prioleau, Temiloluwa
    ACM-BCB 2020 - 11TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, 2020,