Incidence and risk factors for early readmission after hospitalization for SARS-CoV-2 infection: results from a retrospective cohort study

Kirkegaard, Cristina; Falcó-Roget, Anna; Sánchez-Montalvà, Adrián; Valls, Ángel; Clofent, David; Campos‐Varela, Isabel; García-García, Sonia; Leguízamo, Lina María; Sellarès-Nadal, Júlia; Eremiev, Simeon; Villamarín, Miguel; Marzo, Blanca; Almirante, Benito; Len, Óscar

doi:10.1007/s15010-021-01662-1

Cited by 12 publications

(19 citation statements)

References 30 publications

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“…Myocardial injury with COVID-19 has been extensively reported, with rates widely varying depending upon the population studied. 4 The underlying causes are numerous and include but are not limited to myocarditis, 22 acute coronary syndrome (myocardial infarction type 1), 17 demand ischemia (myocardial infarction type 2), 25 , 32 , 33 , 34 , 35 multisystem inflammatory syndrome in children (MIS-C) and multisystem inflammatory syndrome in adults (MIS-A), 20 , 21 , 24 takotsubo/stress cardiomyopathy, 36 , 37 cytokine storm, 34 acute cor pulmonale resulting from macropulmonary or micropulmonary emboli, 23 , 25 myocardial injury from chronic conditions like pre-existing heart failure, 38 , 39 , 40 , 41 and acute viral infection unmasking subclinical heart disease. 38 Because 1 or more of these etiologies may coexist, it can sometimes be challenging to identify a specific underlying cause.…”

Section: Description Of Pathwaymentioning

confidence: 99%

2022 ACC Expert Consensus Decision Pathway on Cardiovascular Sequelae of COVID-19 in Adults: Myocarditis and Other Myocardial Involvement, Post-Acute Sequelae of SARS-CoV-2 Infection, and Return to Play

Gluckman¹,

Bhave²,

Allen³

et al. 2022

Journal of the American College of Cardiology

271

273

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Section: Description Of Pathwaymentioning

confidence: 99%

2022 ACC Expert Consensus Decision Pathway on Cardiovascular Sequelae of COVID-19 in Adults: Myocarditis and Other Myocardial Involvement, Post-Acute Sequelae of SARS-CoV-2 Infection, and Return to Play

Gluckman¹,

Bhave²,

Allen³

et al. 2022

Journal of the American College of Cardiology

271

273

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“…All three study from Spain use logistic regression for their research, and the data sizes are 7,137, 1,368, and 629, respectively. Age, age-adjusted Charlson comorbidity index score, chronic obstructive pulmonary disease (COPD), asthma, hemoglobin level at admission, ground-glass opacification at admission, and glucocorticoid treatment are identified by Ramos-Martínez et al ( 24 ), immunocompromised patients, hypertensive patients, and fever during the 48 h prior to discharge by Parra et al ( 23 ), while prior diagnosis of heart failure, length of stay during index admission >13 days, treatment with corticosteroids and developing pulmonary thromboembolism are identified by Kirkegaard et al ( 16 ).…”

Section: Readmission Risk Factors Post Covid-19 Admissionmentioning

confidence: 99%

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies

Loo

Hasikin‬

Suhaimi

et al. 2022

Front. Public Health

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In this review, current studies on hospital readmission due to infection of COVID-19 were discussed, compared, and further evaluated in order to understand the current trends and progress in mitigation of hospital readmissions due to COVID-19. Boolean expression of (“COVID-19” OR “covid19” OR “covid” OR “coronavirus” OR “Sars-CoV-2”) AND (“readmission” OR “re-admission” OR “rehospitalization” OR “rehospitalization”) were used in five databases, namely Web of Science, Medline, Science Direct, Google Scholar and Scopus. From the search, a total of 253 articles were screened down to 26 articles. In overall, most of the research focus on readmission rates than mortality rate. On the readmission rate, the lowest is 4.2% by Ramos-Martínez et al. from Spain, and the highest is 19.9% by Donnelly et al. from the United States. Most of the research (n = 13) uses an inferential statistical approach in their studies, while only one uses a machine learning approach. The data size ranges from 79 to 126,137. However, there is no specific guide to set the most suitable data size for one research, and all results cannot be compared in terms of accuracy, as all research is regional studies and do not involve data from the multi region. The logistic regression is prevalent in the research on risk factors of readmission post-COVID-19 admission, despite each of the research coming out with different outcomes. From the word cloud, age is the most dominant risk factor of readmission, followed by diabetes, high length of stay, COPD, CKD, liver disease, metastatic disease, and CAD. A few future research directions has been proposed, including the utilization of machine learning in statistical analysis, investigation on dominant risk factors, experimental design on interventions to curb dominant risk factors and increase the scale of data collection from single centered to multi centered.

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“…The reasons for hospital readmissions were progression of lung involvement due to COVID-19 pneumonia, respiratory failure, unspecified infectious diseases, cardiovascular diseases, venous thrombosis, and gastrointestinal diseases. Other studies evaluated readmissions over a period of 60 days after confirmed infection with SARS-CoV-2; the proportion of readmission was 4.5–19.9% [ 65 , 66 , 67 ]. The most common causes of admissions were respiratory failure, progression of inflammatory changes after previous COVID-19 infection, venous thromboembolism, and various infective complications.…”

Section: Discussionmentioning

confidence: 99%

Pulmonary Complications after COVID-19

Jakubec

Fišerová

Genzor

et al. 2022

Life

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Coronavirus disease 2019 (COVID-19) is a threat to patients not only because of its acute course, but also because of various complications occurring in the following period, that is, more than 28 days after the onset of acute infection. The present study identified a total of 121 patients hospitalized 29 or more days after the first positive result of a PCR test for SARS-CoV-2, of whom 98 patients were included in the study. Patients were divided into two groups by the time interval between the positive COVID-19 test result and hospitalization date. The time intervals were week 5–11 in an ongoing-COVID group (57.1% of patients) and 12 or more weeks in a post-COVID-group (42.9%). The most frequent reason for hospitalization was respiratory tract infection (58.2%). Pneumonia accounted for 77.2% of these cases. Other reasons for hospitalization were interstitial lung disease (22.4%), pulmonary embolism (8.2%), and sarcoidosis (6.1%). The study group was further divided according to the causes of hospitalization into subgroups with infections and other causes. In the group with infectious diseases, there was a shorter time period between PCR positivity and hospitalization and there were significantly more frequent non-respiratory complications. In the entire sample, the in-hospital mortality was 5.1%.

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Incidence and risk factors for early readmission after hospitalization for SARS-CoV-2 infection: results from a retrospective cohort study

Abstract: Purpose We aim to assess risk factors related to early readmission in previous hospitalized patients with COVID-19. Methods We analyzed a retrospective cohort of patients with laboratory-confirmed COVID-19 admitted to Vall d'

Cited by 12 publications

References 30 publications

2022 ACC Expert Consensus Decision Pathway on Cardiovascular Sequelae of COVID-19 in Adults: Myocarditis and Other Myocardial Involvement, Post-Acute Sequelae of SARS-CoV-2 Infection, and Return to Play

2022 ACC Expert Consensus Decision Pathway on Cardiovascular Sequelae of COVID-19 in Adults: Myocarditis and Other Myocardial Involvement, Post-Acute Sequelae of SARS-CoV-2 Infection, and Return to Play

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies

Pulmonary Complications after COVID-19

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