Predictors of mortality of COVID-19 in the general population and nursing homes

Pedro Pablo España, Amaia Bilbao, Susana García-Gutiérrez, Iratxe Lafuente, Ane Anton-Ladislao, Ane Villanueva, Ane Uranga, Maria Jose Legarreta, Urko Aguirre, Jose Maria Quintana, COVID-19-Osakidetza Working group, Susana García-Gutiérrez, Miren Orive, Nerea Gonzalez, Iratxe Lafuente, Ane Anton, Ane Villanueva, Josune Martin, Cristina Muñoz, Maria Jose Legarreta, Urko Aguirre, Jose María Quintana, Pedro Pablo España, Ane Uranga, Mikel Egurrola, Amaia Aramburu, Amaia Artaraz, Leire Chasco, Olaia Bronte, Patricia García, Ana Jodar, Virginia Fernandez, Cristobal Esteban, Naia Mas, Esther Pulido, Itxaso Bengoetxea, Antonio Escobar, Amaia Bilbao, Iñigo Gorostiza, Iñaki Arriaga, José Joaquín Portu, Naiara Parraza, Milagros Iriberri, Rafael Zalacain, Luis Alberto Ruiz, Leyre Serrano, Adriana Couto, Oier Ateka, Arantza Cano, Maria Olatz Ibarra, Eduardo Millan, Mayte Bacigalupe, Jon Letona, Andoni Arcelay, Iñaki Berraondo, Pedro Pablo España, Amaia Bilbao, Susana García-Gutiérrez, Iratxe Lafuente, Ane Anton-Ladislao, Ane Villanueva, Ane Uranga, Maria Jose Legarreta, Urko Aguirre, Jose Maria Quintana, COVID-19-Osakidetza Working group, Susana García-Gutiérrez, Miren Orive, Nerea Gonzalez, Iratxe Lafuente, Ane Anton, Ane Villanueva, Josune Martin, Cristina Muñoz, Maria Jose Legarreta, Urko Aguirre, Jose María Quintana, Pedro Pablo España, Ane Uranga, Mikel Egurrola, Amaia Aramburu, Amaia Artaraz, Leire Chasco, Olaia Bronte, Patricia García, Ana Jodar, Virginia Fernandez, Cristobal Esteban, Naia Mas, Esther Pulido, Itxaso Bengoetxea, Antonio Escobar, Amaia Bilbao, Iñigo Gorostiza, Iñaki Arriaga, José Joaquín Portu, Naiara Parraza, Milagros Iriberri, Rafael Zalacain, Luis Alberto Ruiz, Leyre Serrano, Adriana Couto, Oier Ateka, Arantza Cano, Maria Olatz Ibarra, Eduardo Millan, Mayte Bacigalupe, Jon Letona, Andoni Arcelay, Iñaki Berraondo

Abstract

The factors that predispose an individual to a higher risk of death from COVID-19 are poorly understood. The goal of the study was to identify factors associated with risk of death among patients with COVID-19. This is a retrospective cohort study of people with laboratory-confirmed SARS-CoV-2 infection from February to May 22, 2020. Data retrieved for this study included patient sociodemographic data, baseline comorbidities, baseline treatments, other background data on care provided in hospital or primary care settings, and vital status. Main outcome was deaths until June 29, 2020. In the multivariable model based on nursing home residents, predictors of mortality were being male, older than 80 years, admitted to a hospital for COVID-19, and having cardiovascular disease, kidney disease or dementia while taking anticoagulants or lipid-lowering drugs at baseline was protective. The AUC was 0.754 for the risk score based on this model and 0.717 in the validation subsample. Predictors of death among people from the general population were being male and/or older than 60 years, having been hospitalized in the month before admission for COVID-19, being admitted to a hospital for COVID-19, having cardiovascular disease, dementia, respiratory disease, liver disease, diabetes with organ damage, or cancer while being on anticoagulants was protective. The AUC was 0.941 for this model's risk score and 0.938 in the validation subsample. Our risk scores could help physicians identify high-risk groups and establish preventive measures and better follow-up for patients at high risk of dying.ClinicalTrials.gov Identifier: NCT04463706.

Keywords: COVID-19; Clinical prediction rules; Cohort study; Mortality; Prognostic factors.

Conflict of interest statement

The authors declare that they have no conflict of interest.

© 2021. Società Italiana di Medicina Interna (SIMI).

Figures

Fig. 1
Fig. 1
Kaplan–Meier curves of short-term mortality according to the risk classes in the derivation and validation samples. The log-rank test detected statistically significant differences between all risk classes in both derivation and validation samples, except between the risk classes with score 4–5 and score 6–10 in the validation sample of nursing home residents (p = 0.612)

References

    1. 2020 WD-GsORatMBoC--M. . Accessed 20 Apr 2020
    1. Emami A, Javanmardi F, Pirbonyeh N, Akbari A. Prevalence of underlying diseases in hospitalized patients with COVID-19: a systematic review and meta-analysis. Arch Acad Emerg Med. 2020;8(1):e35.
    1. Guan WJ, Liang WH, Zhao Y, et al. Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. Eur Respir J. 2020;55(5):2000547. doi: 10.1183/13993003.00547-2020.
    1. Liu H, Chen S, Liu M, Nie H, Lu H. Comorbid chronic diseases are strongly correlated with disease severity among COVID-19 patients: a systematic review and meta-analysis. Aging Dis. 2020;11(3):668–678. doi: 10.14336/AD.2020.0502.
    1. Wang X, Fang X, Cai Z, et al. Comorbid chronic diseases and acute organ injuries are strongly correlated with disease severity and mortality among COVID-19 patients: a systemic review and meta-analysis. Research (Wash DC) 2020;2020:2402961.
    1. Yang J, Zheng Y, Gou X, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 2020;94:91–95. doi: 10.1016/j.ijid.2020.03.017.
    1. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020 doi: 10.1001/jama.2020.2648.
    1. Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054–1062. doi: 10.1016/S0140-6736(20)30566-3.
    1. Wynants L, Van Calster B, Collins GS, et al. Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ. 2020;369:m1328. doi: 10.1136/bmj.m1328.
    1. Charlson ME, Sax FL, MacKenzie CR, Fields SD, Braham RL, Douglas RG., Jr Assessing illness severity: does clinical judgment work? J Chronic Dis. 1986;39(6):439–452. doi: 10.1016/0021-9681(86)90111-6.
    1. World Health O, Collaborating Centre for Drug Statistics M (2013) ATC classification index with DDDs. WHO, Oslo
    1. McFadyen JD, Schaff M, Peter K. Current and future antiplatelet therapies: emphasis on preserving haemostasis. Nat Rev Cardiol. 2018;15(3):181–191. doi: 10.1038/nrcardio.2017.206.
    1. Chaudhary R, Sharma T, Garg J, et al. Direct oral anticoagulants: a review on the current role and scope of reversal agents. J Thromb Thrombolysis. 2020;49(2):271–286. doi: 10.1007/s11239-019-01954-2.
    1. Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130–1139. doi: 10.1097/01.mlr.0000182534.19832.83.
    1. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143(1):29–36. doi: 10.1148/radiology.143.1.7063747.
    1. Hastie T, Tibshirani R, Friedman JH. The elements of statistical learning: data mining, inference, and prediction. Berlin: Springer; 2009.
    1. Steyerberg EW. Clinical prediction models a practical approach to development, validation, and updating. New York: Springer; 2009.
    1. Barrio I, Arostegui I, Rodríguez-Álvarez MX, Quintana JM. A new approach to categorising continuous variables in prediction models: proposal and validation. Stat Methods Med Res. 2017;26(6):2586–2602. doi: 10.1177/0962280215601873.
    1. Parohan M, Yaghoubi S, Seraji A, Javanbakht MH, Sarraf P, Djalali M. Risk factors for mortality in patients with Coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies. Aging Male. 2020;2020:1–9.
    1. Tian W, Jiang W, Yao J, et al. Predictors of mortality in hospitalized COVID-19 patients: a systematic review and meta-analysis. J Med Virol. 2020 doi: 10.1002/jmv.26050.
    1. Opal SM, Girard TD, Ely EW. The immunopathogenesis of sepsis in elderly patients. Clin Infect Dis. 2005;41(Suppl 7):S504–512. doi: 10.1086/432007.
    1. Jaillon S, Berthenet K, Garlanda C. Sexual dimorphism in innate immunity. Clin Rev Allergy Immunol. 2019;56(3):308–321. doi: 10.1007/s12016-017-8648-x.
    1. Guo T, Fan Y, Chen M, et al. Cardiovascular implications of fatal outcomes of patients with coronavirus disease 2019 COVID-19. JAMA Cardiol. 2020 doi: 10.1001/jamacardio.2020.1017.
    1. Bianchetti A, Rozzini R, Guerini F, et al. Clinical Presentation of COVID19 in Dementia Patients. J Nutr Health Aging. 2020;24(6):560–562. doi: 10.1007/s12603-020-1389-1.
    1. Zhao Q, Meng M, Kumar R, et al. The impact of COPD and smoking history on the severity of COVID-19: a systemic review and meta-analysis. J Med Virol. 2020 doi: 10.1002/jmv.25889.
    1. Filardi T, Morano S. COVID-19: is there a link between the course of infection and pharmacological agents in diabetes? J Endocrinol Invest. 2020 doi: 10.1007/s40618-020-01318-1.
    1. Shi Q, Zhang X, Jiang F, et al. Clinical characteristics and risk factors for mortality of COVID-19 patients with diabetes in Wuhan, China: a two-center retrospective study. Diabetes Care. 2020;43(7):1382–1391. doi: 10.2337/dc20-0598.
    1. Scheen AJ, Marre M, Thivolet C. Prognostic factors in patients with diabetes hospitalized for COVID-19: findings from the CORONADO study and other recent reports. Diabetes Metab. 2020;46(4):265–271. doi: 10.1016/j.diabet.2020.05.008.
    1. Garrido I, Liberal R, Macedo G. Review article: COVID-19 and liver disease-what we know on 1st May 2020. Aliment Pharmacol Ther. 2020;52(2):267–275. doi: 10.1111/apt.15813.
    1. Mantovani A, Beatrice G, Dalbeni A. Coronavirus disease 2019 and prevalence of chronic liver disease: a meta-analysis. Liver Int. 2020;40(6):1316–1320. doi: 10.1111/liv.14465.
    1. Jothimani D, Venugopal R, Abedin MF, Kaliamoorthy I, Rela M. COVID-19 and the liver. J Hepatol. 2020;73(5):1231–1240. doi: 10.1016/j.jhep.2020.06.006.
    1. Extance A. Covid-19 and long term conditions: what if you have cancer, diabetes, or chronic kidney disease? BMJ. 2020;368:m1174. doi: 10.1136/bmj.m1174.
    1. Liang W, Guan W, Chen R, et al. Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Lancet Oncol. 2020;21(3):335–337. doi: 10.1016/S1470-2045(20)30096-6.
    1. Meng Y, Lu W, Guo E, et al. Cancer history is an independent risk factor for mortality in hospitalized COVID-19 patients: a propensity score-matched analysis. J Hematol Oncol. 2020;13(1):75. doi: 10.1186/s13045-020-00907-0.
    1. Li J, Li SX, Zhao LF, Kong DL, Guo ZY. Management recommendations for patients with chronic kidney disease during the novel coronavirus disease 2019 (COVID-19) epidemic. Chronic Dis Transl Med. 2020;6(2):119–123.
    1. Cheng Y, Luo R, Wang K, et al. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney Int. 2020;97(5):829–838. doi: 10.1016/j.kint.2020.03.005.
    1. Esteban C, Quintana JM, Moraza J, et al. Impact of hospitalisations for exacerbations of COPD on health-related quality of life. Respir Med. 2009;103(8):1201–1208. doi: 10.1016/j.rmed.2009.02.002.
    1. Reiner Ž, Hatamipour M, Banach M, et al. Statins and the COVID-19 main protease: in silico evidence on direct interaction. Arch Med Sci. 2020;16(3):490–496. doi: 10.5114/aoms.2020.94655.
    1. Rodrigues-Diez RR, Tejera-Muñoz A, Marquez-Exposito L, Rayego-Mateos S, Santos Sanchez L, Marchant V, Tejedor Santamaria L, Ramos AM, Ortiz A, Egido J, Ruiz-Ortega M. Statins: could an old friend help in the fight against COVID-19? Br J Pharmacol. 2020;177(21):4873–4886. doi: 10.1111/bph.15166.
    1. Sivaloganathan H, Ladikou EE, Chevassut T (2020) COVID-19 mortality in patients on anticoagulants and antiplatelet agents. Br J Haematol 190(4):e192-e195. 10.1111/bjh.16968
    1. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015;350:g7594. doi: 10.1136/bmj.g7594.

Source: PubMed

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