×

A study on the factors influencing the transfer of COVID-19 severe illness patients out of the ICU based on generalized linear mixed effect model. (English) Zbl 1508.92278

MSC:

92D30 Epidemiology

Software:

carData; arm; car

References:

[1] C, Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet, 395, 497-506 (2020) · doi:10.1016/S0140-6736(20)30183-5
[2] CDC COVID-19 Response Team; Severe outcomes among patients with coronavirus disease 2019 (COVID-19)–United States; February 12- March 16; 2020; MMWR Morb Mortal Wkly Rep; 69 (2020); 343-346, Severe outcomes among patients with coronavirus disease 2019 (COVID-19)–United States, February 12- March 16, 2020, MMWR Morb Mortal Wkly Rep, 69, 343-346 (2020) · doi:10.15585/mmwr.mm6912e2
[3] K, Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province, Chin. Med. J. (Engl.), 33, 1025-1031 (2020) · doi:10.1097/CM9.0000000000000744
[4] H. A. Rothan, S. N. Byrareddy, The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak, J. Autoimmun., (2020), 102433. https://doi.org/10.1016/j.jaut.2020.102433
[5] National Health Commission of the People’s Republic of China, Announcement of the National Health Commission of the People’s Republic of China (No. 1, 2020). (2020-01-20), Available from: http://www.nhc.gov.cn/xcs/zhengcwj/202001/44a3b8245e8049d2837a4f27529cd386.shtml. Accessed date: April 1, 2020.
[6] J, A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster, Lancet, 395, 514-523 (2020) · doi:10.1016/S0140-6736(20)30154-9
[7] Q, Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia, N. Engl. J. Med., 382, 1199-1207 (2020) · doi:10.1056/NEJMoa2001316
[8] J, Clinical characteristics and outcomes of 74 patients with severe or critical COVID-19, Am. J. Med. Sci., 360, 229-235 (2020) · doi:10.1016/j.amjms.2020.05.040
[9] W, Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19): a multi-center study in Wenzhou city, Zhejiang, China, J. Infect., 80, 388-393 (2020) · doi:10.1016/j.jinf.2020.02.016
[10] Y, Clinical and computed tomographic imaging features of novel coronavirus pneumonia caused by SARS-CoV-2, J. Infect., 80, 394-400 (2020) · doi:10.1016/j.jinf.2020.02.017
[11] Z, Clinical characteristics of patients with severe and critical COVID-19 in Wuhan: A single-center, retrospective study, Infect. Dis. Ther., 10, 1-18 (2021) · doi:10.1007/s40121-020-00379-2
[12] F, Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study, Lancet, 395, 1054-1062 (2020) · doi:10.1016/S0140-6736(20)30566-3
[13] J, Clinical characteristics and risk factors associated with COVID-19 disease severity in patients with cancer in Wuhan, China: a multicentre, retrospective, cohort study, Lancet Oncol., 21, 893-903 (2020) · doi:10.1016/S1470-2045(20)30309-0
[14] G, Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region Italy, JAMA, 323, 1574-1581 (2020) · doi:10.1001/jama.2020.5394
[15] M, Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series, BMJ, 369, m1996 (2020) · doi:10.1136/bmj.m1996
[16] X, Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study, Lancet Respir. Med., 8, 475-481 (2020) · doi:10.1016/S2213-2600(20)30079-5
[17] National Health Committee of the People’s Republic of China, The Diagnostic Criteria of COVID-19 Diagnosis and Treatment Protocol (Trial Edition 8). [2020-08-19], Available from: http://www.nhc.gov.cn/yzygj/s7653p/202008/0a7bdf12bd4b46e5bd28ca7f9a7f5e5a.shtml.
[18] R, The possibilistic C-means algorithm: insights and recommendations, IEEE Trans. Fuzzy Syst., 4, 385-393 (2002) · doi:10.1109/91.531779
[19] R, A possibilistic approach to clustering, IEEE Trans. Fuzzy Syst., 1, 98-110 (2002) · doi:10.1109/91.227387
[20] F, Partitional fuzzy clustering methods based on adaptive quadratic distances, Fuzzy Sets Syst., 157, 2833-2857 (2006) · Zbl 1103.68679 · doi:10.1016/j.fss.2006.06.004
[21] N. E. Breslow, D. G. Clayton, Approximate inference in generalized linear mixed models, J. Am. Stat. Assoc., 88 (1993), 9-25. https://doi.org/10.2307/2290687 · Zbl 0775.62195
[22] N, Bias correction in generalised linear mixed models with a single component of dispersion, Biometrika, 82, 81-91 (1995) · Zbl 0823.62059 · doi:10.1093/biomet/82.1.81
[23] S, Maximum likelihood for generalized linear models with nested random effects via high-Order, multivariate laplace approximation, J. Comput. Graphical Stat., 9, 141-157 (2000) · doi:10.2307/1390617
[24] D, Fitting linear mixed-effects models using lme4, J. Stat. Software, 67, 1-48 (2015) · doi:10.18637/jss.v067.i01
[25] M, glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling, R J., 9, 378-400 (2017) · doi:10.32614/rj-2017-066
[26] P, Intraclass correlations: uses in assessing rater reliability, Psychol. Bull., 86, 420-428 (1979) · doi:10.1037/0033-2909.86.2.420
[27] J. Twisk, Applied Multilevel Analysis, Cambridge University Press, 2006. https://doi.org/10.1017/cbo9780511610806
[28] P, Cox’s regression model for counting pro- cesses: A large sample study, Ann. Stat., 10, 1100-1120 (1982) · Zbl 0526.62026 · doi:10.1214/aos/1176345976
[29] T. Fleming, D. Harrington, Counting Processes and Survival Analysis, Wiley, New York, (1991), 343-346. · Zbl 0727.62096
[30] P. Andersen, O. Borgan, R. Gill, N. Keiding, Statistical Models Based on Counting Processes, Springer-Verlag, New York, 1993. https://doi.org/10.1007/978-1-4612-4348-9 · Zbl 0769.62061
[31] D, Performance: An R package for assessment, comparison and testing of statistical Models, J. Open Source Software, 6, 3139 (2021) · doi:10.21105/joss.03139
[32] H, A new look at the statistical model identification, IEEE Trans. Autom. Control, 19, 716-723 (1974) · Zbl 0314.62039 · doi:10.1109/tac.1974.1100705
[33] A. Gelman, Y. Su, arm: Data analysis using regression and multilevel/hierarchical models, R package version 1.12-2, 2021.
[34] J. Fox, S. Weisberg, An R Companion to Applied Regression, 3rd edition, Thousand Oaks CA: Sage, 2019.
[35] T. M. Therneau, P. M. Grambsch, Modeling Survival Data: Extending the Cox Model, Springer, New York, 2000. · Zbl 0958.62094
[36] Y, Association between age and clinical characteristics and outcomes of COVID-19, Eur. Respir. J., 55, 2001112 (2020) · doi:10.1183/13993003.01112-2020
[37] L, Coronavirus disease 2019 in elderly patients: characteristics andprognostic factors based on 4-week follow-up, J. Infect., 80, 639-645 (2020) · doi:10.1016/j.jinf.2020.03.019
[38] J, Analysis of epidemiological and clinical features in older patients with Coronavirus disease 2019 (COVID-19) outside Wuhan, Clin. Infect. Dis., 71, 740-747 (2020) · doi:10.1093/cid/ciaa242
[39] G, Clinical characteristics of severe acute respiratory syndrome coronavirus 2 reactivation, J. Infect., 80, e14-17 (2020) · doi:10.1016/j.jinf.2020.03.001
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.