Int J Infect Dis
. 2021 Jul 23;S1201-9712(21)00605-6.
doi: 10.1016/j.ijid.2021.07.049. Online ahead of print.
ABC 2-SPH risk score for in-hospital mortality in COVID-19 patients: development, external validation and comparison with other available scores
Milena S Marcolino 1 , Magda C Pires 2 , Lucas Emanuel F Ramos 3 , Rafael T Silva 4 , Luana M Oliveira 5 , Rafael L R Carvalho 6 , Rodolfo Lucas S Mourato 7 , Adrián Sánchez-Montalvá 8 , Berta Raventós 9 , Fernando Anschau 10 , José Miguel Chatkin 11 , Matheus C A Nogueira 12 , Milton H Guimarães Júnior 13 , Giovanna G Vietta 14 , Helena Duani 15 , Daniela Ponce 16 , Patricia K Ziegelmann 17 , Luís C Castro 18 , Karen B Ruschel 19 , Christiane C R Cimini 20 , Saionara C Francisco 21 , Maiara A Floriani 22 , Guilherme F Nascimento 23 , Bárbara L Farace 24 , Luanna S Monteiro 25 , Maira V R Souza-Silva 26 , Thais L S Sales 27 , Karina Paula M P Martins 28 , Israel J Borges do Nascimento 29 , Tatiani O Fereguetti 30 , Daniel T M O Ferrara 31 , Fernando A Botoni 32 , Ana Paula B S Etges 33 , Eric Boersma 34 , Carisi A Polanczyk 35 , Alexandre V Schwarzbold 36 , Amanda O Maurílio 37 , Ana Luiza B A Scotton 38 , André P Weber 39 , André S M Costa 40 , Andressa B Glaeser 41 , Angélica Aparecida C Madureira 42 , Angelinda R Bhering 43 , Bruno Mateus de Castro 44 , Carla Thais C A da Silva 45 , Carolina M Ramos 46 , Caroline D Gomes 47 , Cíntia A de Carvalho 48 , Daniel V Silveira 49 , Edilson Cezar 50 , Elayne C Pereira 51 , Emanuele Marianne S Kroger 52 , Felipe B Vallt 53 , Fernanda B Lucas 54 , Fernando G Aranha 55 , Frederico Bartolazzi 56 , Gabriela P Crestani 57 , Gisele A N Bastos 58 , Glícia Cristina de C Madeira 59 , Helena Carolina Noal 60 , Heloisa R Vianna 61 , Henrique C Guimarães 62 , Isabela M Gomes 63 , Israel M Romero 64 , Joanna D L Batista 65 , Joice C de Alvarenga 66 , Júlia D S S Guimarães 67 , Júlia D P de Morais 68 , Juliana M Rugolo 69 , Karen Cristina J R Pontes 70 , Kauane Aline M Dos Santos 71 , Leonardo S de Oliveira 72 , Lílian S Pinheiro 73 , Liliane S Pacheco 74 , Lucas de D Sousa 75 , Luciana S F Couto 76 , Luciane Kopittke 77 , Luis Cesar S de Moura 78 , Luisa Elem A Santos 79 , Máderson A S Cabral 80 , Maíra D Souza 81 , Marcela G T Tofani 82 , Marcelo Carneiro 83 , Maria Angélica P Ferreira 84 , Maria Aparecida C Bicalho 85 , Maria Clara P B Lima 86 , Mariana F Godoy 87 , Marilia M A Cardoso 88 , Meire P Figueiredo 89 , Natália C S Sampaio 90 , Natália L Rangel 91 , Natália T Crespo 92 , Neimy R de Oliveira 93 , Pedro L Assaf 94 , Petrônio José de L Martelli 95 , Rafaela S C Almeida 96 , Raphael C Martins 97 , Raquel Lutkmeier 98 , Reginaldo Aparecido Valacio 99 , Renan G Finger 100 , Ricardo B Cardoso 101 , Roberta Pozza 102 , Roberta X Campos 103 , Rochele M Menezes 104 , Roger M de Abreu 105 , Rufino de F Silva 106 , Silvana M M Guimarães 107 , Silvia F Araújo 108 , Susany Anastácia Pereira 109 , Talita F Oliveira 110 , Tatiana Kurtz 111 , Thainara C de Oliveira 112 , Thaíza Simônia M A Araújo 113 , Thulio Henrique O Diniz 114 , Veridiana B Dos Santos 115 , Virginia Mara R Gomes 116 , Vitor Augusto L do Vale 117 , Yuri C Ramires 118
Affiliations
- PMID: 34311100
- DOI: 10.1016/j.ijid.2021.07.049
Abstract
Objectives: The majority of available scores to assess mortality risk of coronavirus disease 19 (COVID-19) patients in the emergency department have high risk of bias. Therefore, our aim was to develop and validate a score at hospital admission for predicting in-hospital mortality in COVID-19 patients, and to compare this score with other existing ones.
Methods: Consecutive patients (≥18 years) with confirmed COVID-19 admitted to the participating hospitals were included. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients admitted between March-July, 2020. The model was validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients.
Results: Median (25th-75th percentile) age of the model-derivation cohort was 60 (48-72) years, and in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. Seven significant variables were included in the risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO2/FiO2 ratio, platelet count and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829 to 0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833 to 0.885]) and Spanish (0.894 [95% CI 0.870 to 0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/).
Conclusions: We designed and validated an easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation, for early stratification for in-hospital mortality risk of patients with COVID-19.
Keywords: COVID-19; SARS-CoV-2; hospitalizations; mortality; prognosis; risk factors; score.