Literature DB >> 33762058

Survival Analysis and Risk Factors in COVID-19 Patients.

Wen Lu1, Shuhui Yu2, Hailing Liu3, Lihua Suo4, Kuanyin Tang5, Jitao Hu6, Yantong Shi7, Ke Hu3.   

Abstract

OBJECTIVE: The aim of this study is to evaluate the clinical characteristics and outcomes in 2019 coronavirus disease (COVID-19) patients and to help clinicians perform correct treatment and evaluate prognosis and guide the treatment.
METHODS: Patients totaling 239 were diagnosed with COVID-19 and were included in this study. Patients were divided into the improvement group and the death group according to their outcome (improvement or death). Clinical characteristics and laboratory parameters were collected from medical records. Continuous variables were tested by an independent sample T test, and categorical variables were analyzed by the chi-square test or Fisher's exact test. The Cox proportional hazard regression model was used for survival analysis in death patients. The time-dependent area under curves (AUC) based on white blood cell count, lymphocyte count, neutrophil count by age, blood urea nitrogen, and C-reactive protein were plotted.
RESULTS: Efficacy evaluation indicated that 99 (41.4%) patients had deteriorated, and 140 (58.6%) patients had improved. Oxygen saturation, hemoglobin levels, infection-related indicators, lymphocyte and platelet counts, C-reactive protein, serum albumin, liver and kidney function, and lactate dehydrogenase in improvement group were statistically significant between the improvement and death groups. A survival analysis revealed that comorbidities, lymphocyte counts, platelet count, serum albumin, C-reactive protein level, and renal dysfunction may be risk factors in patients with COVID-19.
CONCLUSION: Patients with comorbidities, lower lymphocyte counts in hemogram, platelet count and serum albumin, high C-reactive protein level, and renal dysfunction may have higher risk for death. More attention should be given to risk management in the progression of COVID-19.

Entities:  

Keywords:  COVID-19; risk factors of death; survival probability

Year:  2021        PMID: 33762058     DOI: 10.1017/dmp.2021.82

Source DB:  PubMed          Journal:  Disaster Med Public Health Prep        ISSN: 1935-7893            Impact factor:   1.385


  5 in total

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Journal:  J Pers Med       Date:  2021-09-07

2.  Routine laboratory parameters, including complete blood count, predict COVID-19 in-hospital mortality in geriatric patients.

Authors:  Fabiola Olivieri; Jacopo Sabbatinelli; Anna Rita Bonfigli; Riccardo Sarzani; Piero Giordano; Antonio Cherubini; Roberto Antonicelli; Yuri Rosati; Simona Del Prete; Mirko Di Rosa; Andrea Corsonello; Roberta Galeazzi; Antonio Domenico Procopio; Fabrizia Lattanzio
Journal:  Mech Ageing Dev       Date:  2022-04-11       Impact factor: 5.498

3.  Analysis of Survival of Patients Hospitalized with COVID-19 in Espírito Santo, Brazil.

Authors:  Juliana Rodrigues Tovar Garbin; Franciéle Marabotti Costa Leite; Luís Carlos Lopes-Júnior; Cristiano Soares da Silva Dell'Antonio; Larissa Soares Dell'Antonio; Ana Paula Brioschi Dos Santos
Journal:  Int J Environ Res Public Health       Date:  2022-07-17       Impact factor: 4.614

4.  COVID-19 mortality surveillance in Lebanon.

Authors:  Linda Abou-Abbas; Zeina Nasser; Mario Baaklini; Lina Cheaito; Jeanette Karout; Hawraa Sweidan; Abbas Jouni; Nada Ghosn; Hamad Hassan
Journal:  Sci Rep       Date:  2022-08-27       Impact factor: 4.996

5.  Clinical characteristics and risk factors for mortality in COVID-19 inpatients in Birjand, Iran: a single-center retrospective study.

Authors:  Ghodsiyeh Azarkar; Freshteh Osmani
Journal:  Eur J Med Res       Date:  2021-07-21       Impact factor: 2.175

  5 in total

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