Prognostic Scoring System for Mortality of Hospitalized COVID-19 Patients in Resource-Limited Settings: A Multicenter Study from COVID-19 Referral Hospitals
Centers for Disease Control and Prevention. 2019 Novel Coronavirus, Wuhan, China, https://www.cdc.gov/coronavirus/2019-ncov/about/index.html. (2020, accessed 17 June 2021).
Mostaza JM, García-Iglesias F, González-Alegre T, et al. Clinical course and prognostic factors of COVID-19 infection in an elderly hospitalized population. Arch Gerontol Geriatr. 2020;91:104204.
Gupta RK, Marks M, Samuels THA, et al. Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study. Eur Respir J. 2020; 56. Epub ahead of print 1 December 2020. DOI: 10.1183/13993003.03498-2020.
Gue YX, Tennyson M, Gao J, et al. Development of a novel risk score to predict mortality in patients admitted to hospital with COVID-19. Sci Rep. 2020; 10:21379.
Williamson EJ, Walker AJ, Bhaskaran K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584:430–6.
Johns Hopkins Coronavirus Resource Center. Mortality Analyses, https://coronavirus.jhu.edu/data/mortality (2021, accessed 25 August 2021).
Setiati S, Azwar MK. COVID-19 and Indonesia. Acta Med Indones. 2020;52:84–9.
Knight SR, Ho A, Pius R, et al. Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score. BMJ. 2020;m3339.
Grobbee D, Hoes A. Clinical Epidemiology: Principles, Methods, and Applications for Clinical Research. 2nd ed. Burlington, MA: Jones & Bartlett Learning; 2014.
Collins GS, Reitsma JB, Altman DG, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ. 2015;350:g7594.
World Health Organization. WHO Information Notice for IVD Users 2020/05, https://www.who.int/news/item/20-01-2021-who-information-notice-for-ivd-users-2020-05 (2021, accessed 5 March 2021).
World Health Organization. Clinical management of COVID-19: living guidance, https://www.who.int/publications/i/item/WHO-2019-nCoV-clinical-2021-1 (2021).
Song C, Xu J, He J, et al. COVID-19 early warning score: a multi-parameter screening tool to identify highly suspected patients. medRxiv Prepr. Epub ahead of print 2020. DOI: 10.1101/2020.03.05.20031906.
Bradley P, Frost F, Tharmaratnam K, et al. Utility of established prognostic scores in COVID-19 hospital admissions: multicentre prospective evaluation of CURB-65, NEWS2 and qSOFA. BMJ Open Respir Res. 2020;7:e000729.
Booth A, Reed AB, Ponzo S, et al. Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis. PLoS One. 2021;16:e0247461.
Franceschi C, Garagnani P, Parini P, et al. Inflammaging: a new immune–metabolic viewpoint for age-related diseases. Nat Rev Endocrinol. 2018;14:576–90.
Azwar MK, Setiati S, Rizka A, et al. Clinical Profile of Elderly Patients with COVID-19 hospitalised in Indonesia’s National General Hospital. Acta Med Indones. 2020;52:199–205.
Pakhchanian H, Raiker R, Mukherjee A, et al. Outcomes of COVID-19 in CKD Patients. Clin J Am Soc Nephrol. 2021;CJN.13820820.
Podestà MA, Valli F, Galassi A, et al. COVID-19 in Chronic Kidney Disease: The Impact of Old and Novel Cardiovascular Risk Factors. Blood Purif. 2021;1–10.
Leung JM, Niikura M, Yang CWT, et al. COVID-19 and COPD. Eur Respir J. 2020;56:2002108.
Lee SC, Son KJ, Han CH, et al. Impact of COPD on COVID-19 prognosis: A nationwide population-based study in South Korea. Sci Rep. 2021;11:3735.
He X, Cheng X, Feng X, et al. Clinical Symptom Differences Between Mild and Severe COVID-19 Patients in China: A Meta-Analysis. Front Public Health; 8. Epub ahead of print 14 January 2021. DOI: 10.3389/fpubh.2020.561264.
Yang L, Jin J, Luo W, et al. Risk factors for predicting mortality of COVID-19 patients: A systematic review and meta-analysis. PLoS One. 2020;15:e0243124.
Rudroff T, Fietsam AC, Deters JR, et al. Post-COVID-19 fatigue: Potential contributing factors. Brain Sci. 2020;10:1012.
Kenerly MJ, Shah P, Patel H, et al. Altered mental status is an independent predictor of mortality in hospitalized COVID-19 patients. Irish J Med Sci. 2021;1971. Epub ahead of print 10 February 2021. DOI: 10.1007/s11845-021-02515-4.
Pezzini A, Padovani A. Lifting the mask on neurological manifestations of COVID-19. Nat Rev Neurol. 2020; 16:636–44.
Simadibrata DM, Calvin J, Wijaya AD, et al. Neutrophil-to-lymphocyte ratio on admission to predict the severity and mortality of COVID-19 patients: A meta-analysis. Am J Emerg Med. 2021;42:60–9.
Li X, Liu C, Mao Z, et al. Predictive values of neutrophil-to-lymphocyte ratio on disease severity and mortality in COVID-19 patients: a systematic review and meta-analysis. Crit Care. 2020;24:647.
Torres Acosta MA, Singer BD. Pathogenesis of COVID-19-induced ARDS: implications for an ageing population. Eur Respir J. 2020;56:2002049.
Hojyo S, Uchida M, Tanaka K, et al. How COVID-19 induces cytokine storm with high mortality. Inflamm Regen. 2020;40:37.
Mei Q, Wang AY, Bryant A, et al. Development and validation of prognostic model for predicting mortality of COVID-19 patients in Wuhan, China. Sci Rep. 2020;10:1–12.
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