Comorbid Chronic Diseases are Strongly Correlated with Disease Severity among COVID-19 Patients: A Systematic Review and Meta-Analysis

AbstractCoronavirus disease 2019 (COVID-19), an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is responsible for the most threatening pandemic in modern history. The aim of this systematic review and meta-analysis was to investigate the associations between serum albumin concentrations and COVID-19 disease severity and adverse outcomes. A systematic literature search was conducted in PubMed, from inception to October 30, 2020. Sixty-seven studies in 19,760 COVID-19 patients (6141 with severe disease or poor outcome) were selected for analysis. Pooled results showed that serum albumin concentrations were significantly lower in patients with severe disease or poor outcome (standard mean difference, SMD: − 0.99 g/L; 95% CI, − 1.11 to − 0.88, p < 0.001). In multivariate meta-regression analysis, age (t = − 2.13, p = 0.043), publication geographic area (t = 2.16, p = 0.040), white blood cell count (t = − 2.77, p = 0.008) and C-reactive protein (t = − 2.43, p = 0.019) were significant contributors of between-study variance. Therefore, lower serum albumin concentrations are significantly associated with disease severity and adverse outcomes in COVID-19 patients. The assessment of serum albumin concentrations might assist with early risk stratification and selection of appropriate care pathways in this group.

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Impact in the quality of life of parents of children with chronic diseases using psychoeducational interventions – A systematic review with meta-analysis

Patient Education and Counseling ◽

10.1016/j.pec.2021.07.048 ◽

2021 ◽

Author(s):

Marisa Garcia Rodrigues ◽

José Daniel Rodrigues ◽

Ana Teresa Pereira ◽

Luís Filipe Azevedo ◽

Pedro Pereira Rodrigues ◽

...

Keyword(s):

Quality Of Life ◽

Systematic Review ◽

Chronic Diseases ◽

Meta Analysis ◽

Psychoeducational Interventions

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Red Blood Cell Distribution Width, Disease Severity, and Mortality in Hospitalized Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis

Journal of Clinical Medicine ◽

10.3390/jcm10020286 ◽

2021 ◽

Vol 10 (2) ◽

pp. 286

Author(s):

Angelo Zinellu ◽

Arduino A. Mangoni

Keyword(s):

Systematic Review ◽

Blood Cell ◽

Disease Severity ◽

Red Blood Cell ◽

Effect Size ◽

Meta Analysis ◽

Severe Illness ◽

Cell Distribution ◽

Distribution Width ◽

Red Blood Cell Distribution

The identification of biomarkers predicting disease severity and outcomes is the focus of intense research in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 infection). Ideally, such biomarkers should be easily derivable from routine tests. We conducted a systematic review and meta-analysis of the predictive role of the red blood cell distribution width (RDW), a routine hematological test, in patients with SARS-CoV-2 infection. We searched the electronic databases PubMed, Web of Science and Scopus, from January 2020 to November 2020, for studies reporting data on the RDW and coronavirus disease 2019 (COVID-19) severity, defined as severe illness or admission to the intensive care unit (ICU), and mortality. Eleven studies in 4901 COVID-19 patients were selected for the meta-analysis. Pooled results showed that the RDW values were significantly higher in patients with severe disease and non-survivors (standard mean difference, SMD = 0.56, 95% CI 0.31 to 0.81, p < 0.001). Heterogeneity between studies was extreme (I2 = 80.6%; p < 0.001). In sensitivity analysis, the effect size was not modified when each study was in turn removed (effect size range, between 0.47 and 0.63). The Begg’s (p = 0.53) and Egger’s tests (p = 0.52) showed no evidence of publication bias. No significant correlations were observed between SMD and age, gender, whole blood count, end point, study geographic area, or design. Our meta-analysis showed that higher RDW values are significantly associated with COVID-19 severity and mortality. This routine parameter might assist with early risk stratification in patients with SARS-CoV-2 infection.

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Clinical characteristics, treatment and outcomes of paediatric COVID-19: a systematic review and meta-analysis

Archives of Disease in Childhood ◽

10.1136/archdischild-2020-321385 ◽

2021 ◽

pp. archdischild-2020-321385

Author(s):

Omar Irfan ◽

Fiona Muttalib ◽

Kun Tang ◽

Li Jiang ◽

Zohra S Lassi ◽

...

Keyword(s):

Systematic Review ◽

Disease Severity ◽

World Bank ◽

Low Income ◽

Meta Analysis ◽

Severe Disease ◽

Income Level ◽

Clinical Findings ◽

Middle Income ◽

Middle Income Countries

ObjectiveCompare paediatric COVID-19 disease characteristics, management and outcomes according to World Bank country income level and disease severity.DesignSystematic review and meta-analysis.SettingBetween 1 December 2019 and 8 January 2021, 3350 articles were identified. Two reviewers conducted study screening, data abstraction and quality assessment independently and in duplicate. Observational studies describing laboratory-confirmed paediatric (0–19 years old) COVID-19 were considered for inclusion.Main outcomes and measuresThe pooled proportions of clinical findings, treatment and outcomes were compared according to World Bank country income level and reported disease severity.Results129 studies were included from 31 countries comprising 10 251 children of which 57.4% were hospitalised. Mean age was 7.0 years (SD 3.6), and 27.1% had a comorbidity. Fever (63.3%) and cough (33.7%) were common. Of 3670 cases, 44.1% had radiographic abnormalities. The majority of cases recovered (88.9%); however, 96 hospitalised children died. Compared with high-income countries, in low-income and middle-income countries, a lower proportion of cases were admitted to intensive care units (ICUs) (9.9% vs 26.0%) yet pooled proportion of deaths among hospitalised children was higher (relative risk 2.14, 95% CI 1.43 to 3.20). Children with severe disease received antimicrobials, inotropes and anti-inflammatory agents more frequently than those with non-severe disease. Subgroup analyses showed that a higher proportion of children with multisystem inflammatory syndrome (MIS-C) were admitted to ICU (47.1% vs 22.9%) and a higher proportion of hospitalised children with MIS-C died (4.8% vs 3.6%) compared with the overall sample.ConclusionPaediatric COVID-19 has a favourable prognosis. Further severe disease characterisation in children is needed globally.

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Exergaming for Quality of Life in Persons Living with Chronic Diseases: A Systematic Review and Meta‐analysis

PM&R ◽

10.1002/pmrj.12444 ◽

2020 ◽

Author(s):

Lucia Cugusi ◽

Luca Prosperini ◽

Gioia Mura

Keyword(s):

Quality Of Life ◽

Systematic Review ◽

Chronic Diseases ◽

Meta Analysis

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Cognitive behavior therapy combined with exercise for adults with chronic diseases: Systematic review and meta-analysis.

Health Psychology ◽

10.1037/hea0000578 ◽

2018 ◽

Vol 37 (5) ◽

pp. 433-450 ◽

Cited By ~ 13

Author(s):

Paquito Bernard ◽

Ahmed-Jérôme Romain ◽

Johan Caudroit ◽

Guillaume Chevance ◽

Marion Carayol ◽

...

Keyword(s):

Systematic Review ◽

Chronic Diseases ◽

Behavior Therapy ◽

Cognitive Behavior Therapy ◽

Meta Analysis ◽

Cognitive Behavior

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Factors Associated with Disease Severity and Mortality among Patients with Coronavirus Disease 2019: A Systematic Review and Meta-Analysis

10.1101/2020.08.07.20166868 ◽

2020 ◽

Author(s):

Vignesh Chidambaram ◽

Nyan Lynn Tun ◽

Waqas Haque ◽

Marie Gilbert Majella ◽

Ranjith Kumar Sivakumar ◽

...

Keyword(s):

Systematic Review ◽

Disease Severity ◽

English Language ◽

Clinical Decision Making ◽

Clinical Laboratory ◽

Data Extraction ◽

Meta Analysis ◽

Severe Disease ◽

Factors Associated ◽

Risk Of Mortality

Background: Understanding the factors associated with disease severity and mortality in Coronavirus disease (COVID19) is imperative to effectively triage patients. We performed a systematic review to determine the demographic, clinical, laboratory and radiological factors associated with severity and mortality in COVID-19. Methods: We searched PubMed, Embase and WHO database for English language articles from inception until May 8, 2020. We included Observational studies with direct comparison of clinical characteristics between a) patients who died and those who survived or b) patients with severe disease and those without severe disease. Data extraction and quality assessment were performed by two authors independently. Results: Among 15680 articles from the literature search, 109 articles were included in the analysis. The risk of mortality was higher in patients with increasing age, male gender (RR 1.45; 95%CI 1.23,1.71), dyspnea (RR 2.55; 95%CI 1.88,2.46), diabetes (RR 1.59; 95%CI 1.41,1.78), hypertension (RR 1.90; 95%CI 1.69,2.15). Congestive heart failure (OR 4.76; 95%CI 1.34,16.97), hilar lymphadenopathy (OR 8.34; 95%CI 2.57,27.08), bilateral lung involvement (OR 4.86; 95%CI 3.19,7.39) and reticular pattern (OR 5.54; 95%CI 1.24,24.67) were associated with severe disease. Clinically relevant cut-offs for leukocytosis(>10.0 x109/L), lymphopenia(< 1.1 x109/L), elevated C-reactive protein(>100mg/L), LDH(>250U/L) and D-dimer(>1mg/L) had higher odds of severe disease and greater risk of mortality. Conclusion: Knowledge of the factors associated of disease severity and mortality identified in our study may assist in clinical decision-making and critical-care resource allocation for patients with COVID-19.

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