Prognostic factors in patients admitted to an urban teaching hospital with COVID-19 infection

Maguire, Donogh; Woods, Marylynne; Richards, Conor; Dolan, Ross D.; Veitch, Jesse Wilson; Sim, Wei; Kemmett, Olivia EH; Milton, David Cole; Randall, Sophie; Bui, Ly D.; Goldmann, Nicola; Cameron, Allan; Laird, Barry; Talwar, Dinesh; Godber, Ian M; Davidson, Alan

doi:10.21203/rs.3.rs-38340/v2

Cited by 2 publications

(15 citation statements)

References 21 publications

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“…Eighty-seven full-text articles were assessed for eligibility. Twenty-five studies 7,[9][10][11]13,[17][18][19][20][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36] across 19 countries (Belgium, Brazil, Cyprus, Egypt, France, Greece, Iraq, Italy, Libya, The Netherlands, Poland, Saudi Arabia, Spain, Sudan, Sweden, Switzerland, Turkey, UK and the USA) reporting on 34 628 patients with COVID-19 with frailty assessments, from the early phase of the pandemic, were included in the qualitative and quantitative analysis. Study population sizes were variable, ranging between 23 and 18 234 patients (Supporting Information Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Most of the studies were from the UK (n = 14). 7,[9][10][11]13,18,19,23,24,26,30,33,35,36 All studies reported findings from acute care hospitals, one study specifically on transplant patients 22 and another study from a COVID-19-specific hospital. 27 Five studies 20,24,27,30,31 provided additional data to enable further analysis.…”

Section: Resultsmentioning

confidence: 99%

“…27 Five studies 20,24,27,30,31 provided additional data to enable further analysis. Based on the NOS, four studies were of good quality, 30,[33][34][35] 12 studies were of fair quality 9,11,18,19,21,26,27,29,31,32,36 and the remaining nine were of poor quality. 7,10,13,17,20,22,24,25,28 The CFS was the most common frailty measure.…”

Section: Resultsmentioning

confidence: 99%

“…S2). Over half the patients were male (52%; 17 768/34 141; range 33% to 78%; 22 studies 7,[9][10][11][17][18][19][20][21][22][23][24][26][27][28][29][30][31][32][33][34][35] ). Male patients, compared with female patients, had higher short-term mortality risk (RR = 1.08; 95% CI 1.06-1.11; Fig.…”

Section: Resultsmentioning

confidence: 99%

“…[14][15][16] Many observational studies have been published recently in patients with COVID-19 comparing patient characteristics and outcomes among survivors and non-survivors. 7,[9][10][11]13,[17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36] Several studies used frailty as one of the predictors of mortality. No studies have pooled and analysed the results examining the association between frailty and mortality, adjusting for important confounders such as age.…”

Section: Introductionmentioning

confidence: 99%

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Frailty and mortality associations in patients with COVID‐19: a systematic review and meta‐analysis

Subramaniam

Shekar

Afroz³

et al. 2022

Internal Medicine Journal

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Background: Observational data during the pandemic have demonstrated mixed associations between frailty and mortality.Aim: To examine associations between frailty and short-term mortality in patients hospitalised with coronavirus disease 2019 .Methods: In this systematic review and meta-analysis, we searched PubMed, Embase and the COVID-19 living systematic review from 1 December 2019 to 15 July 2021. Studies reporting mortality and frailty scores in hospitalised patients with COVID-19 (age ≥18 years) were included. Data on patient demographics, short-term mortality (in hospital or within 30 days), intensive care unit (ICU) admission and need for invasive mechanical ventilation (IMV) were extracted. The quality of studies was assessed using the NewcastleÀOttawa Scale.Results: Twenty-five studies reporting 34 628 patients were included. Overall, 26.2%(n = 9061) died. Patients who died were older (76.7 ± 9.6 vs 69.2 ± 13.4), more likely male (risk ratio (RR) = 1.08; 95% confidence interval (CI): 1.06-1.11) and had more comorbidities. Fifty-eight percent of patients were frail. Adjusting for age, there was no difference in short-term mortality between frail and non-frail patients (RR = 1.04; 95% CI: 0.84-1.28). The non-frail patients were commonly admitted to ICU (27.2% (4256/15639) vs 29.1% (3567/12274); P = 0.011) and had a higher mortality risk (RR = 1.63; 95% CI: 1.30-2.03) than frail patients. Among patients receiving IMV, there was no difference in mortality between frail and non-frail (RR = 1.62; 95% CI 0.93-2.77). Conclusion:This systematic review did not demonstrate an independent association between frailty status and short-term mortality in patients with COVID-19. Patients with frailty were less commonly admitted to ICU and non-frail patients were more likely to receive IMV and had higher mortality risk. This finding may be related to allocation decisions for patients with frailty amidst the pandemic.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Frailty and mortality associations in patients with COVID‐19: a systematic review and meta‐analysis

Subramaniam

Shekar

Afroz³

et al. 2022

Internal Medicine Journal

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Significance of initial clinical laboratory parameters as prognostic factors in patients with COVID 19

et al. 2022

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Background/Aim. COVID 19 is a predominantly respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The aim of this study was to determine whether there are significant variables which could predict severe clinical picture and fatal outcome in COVID 19 patients. Methods. The research involved 632 patients who were treated at the University Medical Center Kragujevac at the Clinic for Infectious Diseases, in the period from June 2020 to February 2021. All patients were divided into two groups according to the need for oxygen therapy (Sat 02 < 94. Results. Our results showed that high BMI was singled out as a risk factor for the development of a severe clinical picture [BMI [ORadjusted = 1.263; 95% CI = 1.117 - 1.427; p < 0.001]]. Prothrombin time (ORadjusted = 1.170; 95% CI = 1.004 - 1.364; p = 0.045), as well as low albumin values (ORadjusted = 0.878; 95% CI = 0.804 - 0.958; p = 0,003) had a predictive significance for the development of severe clinical picture. Factors that were of predictive importance in patients with fatal outcome were CRP (ORadjusted = 1.010; 95% CI = 1.001 - 1.019; p = 0.031), LDH (ORadjusted = 1.004; 95% CI = 1.001 - 1.006; p = 0.002). X-ray of the lungs (ORadjusted = 1.394; 95% CI = 1.170 - 1.661; p < 0.001). Conclusion. Research has shown that routine, clinical-laboratory parameters can be important in the early detection of patients with a potentially severe clinical picture and fatal outcome. In patients with a mild clinical picture, CRP, LDH, ferritin, and serum albumin levels may indicate timely disease progression. Monitoring of parameters of essential importance for the timely clinical assessment of patients with COVID 19, and thus the timely application of adequate therapeutic protocols in the treatment of these patients.

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Prognostic factors in patients admitted to an urban teaching hospital with COVID-19 infection

Cited by 2 publications

References 21 publications

Frailty and mortality associations in patients with COVID‐19: a systematic review and meta‐analysis

Frailty and mortality associations in patients with COVID‐19: a systematic review and meta‐analysis

Significance of initial clinical laboratory parameters as prognostic factors in patients with COVID 19

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