Risk factors for in-hospital mortality in laboratory-confirmed COVID-19 patients in the Netherlands: A competing risk survival analysis

Nijman, Gerine; Wientjes, Maike H M; Ramjith, Jordache; Janssen, Nico; Hoogerwerf, Jacobien J.; Abbink, Evertine J.; Blaauw, Marc; Dofferhoff, Ton; Apeldoorn, Marjan van; Veerman, Karin; Mast, Quirijn de; Oever, Jaap ten; Hoefsloot, Wouter; Reijers, Monique H.; Crevel, Reinout van; Maat, Josephine S. van de

doi:10.1371/journal.pone.0249231

Cited by 21 publications

(22 citation statements)

References 33 publications

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“…On the other hand, a Turkish study revealed that the MEWS score calculated in the emergency room effectively predicted death in the forthcoming 28 days in patients with COVID-19 who required hospitalization [ 26 ]. The results of this study were in line with findings from a large cohort of 1000 patients from five Dutch hospitals [ 45 ]. A retrospective analysis of data from Wuhan showed that the MEWS was accurate in predicting in-hospital mortality in elderly patients with SARS-CoV-2 infection [ 46 ].…”

Section: Discussionsupporting

confidence: 90%

Neurological Prognostic Factors in Hospitalized Patients with COVID-19

et al. 2022

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We aimed to search whether neurological symptoms or signs (NSS) and the MEWS (Modified Early Warning Score) score were associated with in-hospital mortality or oxygen requirement during the first 14 days of hospitalization in COVID-19 patients recruited at the University Hospital in Krakow, Poland. The detailed clinical questionnaires on twenty NSS were either filled out by patients prospectively or retrospectively assessed by neurologists based on daily medical records. NSS were considered high or low-risk if they were associated with increased or decreased mortality in the univariable analysis. This cohort study included 349 patients with COVID-19 (median age 64, interquartile range (51–77), women 54.72%). The presence of high-risk NSS (decreased level of consciousness, delirium, seizures, and symptoms of stroke or transient ischemic attack) or its combination with the absence of low-risk NSS (headache, dizziness, decreased mood, and fatigue) increased the risk of in-hospital mortality in SARS-CoV-2 infection 3.13 and 7.67-fold, respectively. The presence of low-risk NSS decreased the risk of in-hospital mortality in COVID-19 patients more than 6-fold. Death in patients with SARS-CoV-2 infection, apart from NSS, was predicted by older age, neoplasm, and higher MEWS scores on admission. High-risk NSS or their combination with the absence of low-risk NSS increased the risk of oxygen requirement during hospitalization in COVID-19 patients 4.48 and 1.86-fold, respectively. Independent predictors of oxygen therapy during hospitalization in patients with SARS-CoV-2 infection were also older age, male sex, neoplasm, and higher MEWS score on admission.

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Section: Discussionsupporting

confidence: 90%

Neurological Prognostic Factors in Hospitalized Patients with COVID-19

et al. 2022

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“…Most studies published to-date have focused on mortality or severe COVID-19, although the findings were similar to those in the current study [36,37,38] [40].…”

Section: Discussionsupporting

confidence: 87%

On-admission laboratory predictors for developing critical COVID-19 during hospitalization – a multivariable logistic regression model

Schmidt¹,

Jóźwiak²,

Czabajska³

et al. 2022

Ann Agric Environ Med.

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Introduction and Objective. Recognition of patients with COVID-19 who will progress clinically and need respiratory support remains challenging. The aim of the study was to identify abnormalities in on-admission laboratory results that can precede progression from moderate or severe to critical COVID-19. Materials and method. Laboratory data analyzed of 190 patients admitted with moderate or severe COVID-19 to our ward. Laboratory results taken into analysis were obtained during the first 48 hours of hospitalization. Multivariate logistic regression was performed using risk factors obtained in the univariate analysis as dependent variables. Results. 42 patients were identified who developed critical COVID-19. In univariate analysis, 22 laboratory risk factors were detected that were used in logistic regression and in building model with following predictors: high-sensitive troponin I concentration (hs-TnI) >26 ng/mL (OR 13.45;

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“…ACE (angiotensinconverting enzyme) inhibitors, diuretics, and β-blockers were more frequently used in no survivors than in survivors. Nijman et al [14] in the Netherlands found no increased mortality risk in male patients, or patients with high BMI or diabetes. In the systematic review developed by Flook et al [15], age was a prominent predicting factor for death in hospitalized patients with SARS-CoV-2.…”

Section: Introductionmentioning

confidence: 90%

Survival of COVID-19 with Multimorbidity Patients

et al. 2021

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Background: The outbreak of SARS-CoV-2 abruptly disseminated in early 2020, overcoming the capacity of health systems to respond the pandemic. It was not until the vaccines were launched worldwide that an increase in survival was observed. The objectives of this study were to analyse the characteristics of survivors and their relationship with comorbidities. We had access to a database containing information on 16,747 hospitalized patients from Mexico, all infected with SARS-CoV-2, as part of a regular follow-up. The descriptive analysis looked for clusters of either success or failure. We categorized the samples into no comorbidities, or one and up to five coexisting with the infection. We performed a logistic regression test to ascertain what factors were more influential in survival. The main variable of interest was survival associated with multimorbidity factors. The database hosted information on hospitalized patients from Mexico between March 2020 through to April 2021. Categories 2 and 3 had the largest number of patients. Survival rates were higher in categories 0 (64.8%), 1 (57.5%) and 2 (51.6%). In total, 1741 (10.5%) patients were allocated to an ICU unit. Mechanical ventilators were used on 1415 patients, corresponding to 8.76%. Survival was recorded in 9575 patients, accounting for 57.2% of the sample population. Patients without comorbidities, younger people and women were more likely to survive.

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Risk factors for in-hospital mortality in laboratory-confirmed COVID-19 patients in the Netherlands: A competing risk survival analysis

Cited by 21 publications

References 33 publications

Neurological Prognostic Factors in Hospitalized Patients with COVID-19

Neurological Prognostic Factors in Hospitalized Patients with COVID-19

On-admission laboratory predictors for developing critical COVID-19 during hospitalization – a multivariable logistic regression model

Survival of COVID-19 with Multimorbidity Patients

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