scholarly journals Incidence, clinical characteristics and prognostic factor of patients with COVID-19: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Chaoqun Ma ◽  
Jiawei Gu ◽  
Pan Hou ◽  
Liang Zhang ◽  
Yuan Bai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Severity ◽  
Old Age ◽  
Clinical Characteristics ◽  
Early Stage ◽  
Meta Analysis ◽  
Blood Platelet ◽  
Clinical Feature ◽  
Chronic Obstructive ◽  
Medicine Research

AbstractBackgroundRecently, Coronavirus Disease 2019 (COVID-19) outbreak started in Wuhan, China. Although the clinical features of COVID-19 have been reported previously, data regarding the risk factors associated with the clinical outcomes are lacking.ObjectivesTo summary and analyze the clinical characteristics and identify the predictors of disease severity and mortality.MethodsThe PubMed, Web of Science Core Collection, Embase, Cochrane and MedRxiv databases were searched through February 25, 2020. Meta-analysis of Observational Studies in Epidemiology (MOOSE) recommendations were followed. We extracted and pooled data using random-e□ects meta-analysis to summary the clinical feature of the confirmed COVID-19 patients, and further identify risk factors for disease severity and death. Heterogeneity was evaluated using the I2 method and explained with subgroup analysis and meta-regression.ResultsA total of 30 studies including 53000 patients with COVID-19 were included in this study, the mean age was 49.8 years (95% CI, 47.5-52.2 yrs) and 55.5% were male. The pooled incidence of severity and mortality were 20.2% (95% CI, 15.1-25.2%) and 3.1% (95% CI, 1.9-4.2%), respectively. The predictor for disease severity included old age (≥ 50 yrs, odds ratio [OR] = 2.61; 95% CI, 2.29-2.98), male (OR =1.348, 95% CI, 1.195-1.521), smoking (OR =1.734, 95% CI, 1.146-2.626) and any comorbidity (OR = 2.635, 95% CI, 2.098-3.309), especially chronic kidney disease (CKD, OR = 6.017; 95% CI, 2.192-16.514), chronic obstructive pulmonary disease (COPD, OR = 5.323; 95% CI, 2.613-10.847) and cerebrovascular disease (OR = 3.219; 95% CI, 1.486-6.972). In terms of laboratory results, increased lactate dehydrogenase (LDH), C-reactive protein (CRP) and D-dimer and decreased blood platelet and lymphocytes count were highly associated with severe COVID-19 (all for P < 0.001). Meanwhile, old age (≥ 60 yrs, RR = 9.45; 95% CI, 8.09-11.04), followed by cardiovascular disease (RR = 6.75; 95% CI, 5.40-8.43) hypertension (RR = 4.48; 95% CI, 3.69-5.45) and diabetes (RR = 4.43; 95% CI, 3.49-5.61) were found to be independent prognostic factors for the COVID-19 related death.ConclusionsTo our knowledge, this is the first evidence-based medicine research to explore the risk factors of prognosis in patients with COVID-19, which is helpful to identify early-stage patients with poor prognosis and adapt effective treatment.

scholarly journals Clinical Characteristics and Risk Factors of Cardiac Involvement in COVID‐19

2020 ◽  
Vol 9 (18) ◽  
Author(s):  
Huayan Xu ◽  
Keke Hou ◽  
Rong Xu ◽  
Zhenlin Li ◽  
Hang Fu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Old Age ◽  
Clinical Characteristics ◽  
Cardiac Involvement ◽  
Cardiac Injury ◽  
Chronic Obstructive ◽  
Unique Identifier ◽  
Obstructive Pulmonary Disease ◽  
Pneumonia Severity ◽  
Novel Coronavirus

Background Increasing studies demonstrated that the cardiac involvements are related to coronavirus disease 2019 (COVID‐19). Thus, we investigated the clinical characteristics of patients with COVID‐19 and further determined the risk factors for cardiac involvement in them. Methods and Results We analyzed data from 102 consecutive laboratory‐confirmed and hospitalized patients with COVID‐19 (52 women aged 19–87 years). Epidemiologic and demographic characteristics, clinical features, routine laboratory tests (including cardiac injury biomarkers), echocardiography, electrocardiography, chest imaging findings, management methods, and clinical outcomes were collected. Patients were divided into acute cardiac injury, with and without cardiac marker abnormities groups according to different level of cardiac markers. In this research, cardiac involvement was found in 72 of the 102 (70.6%) patients: tachycardia (n=20), electrocardiography abnormalities (n=23), echocardiography abnormalities (n=59), elevated myocardial enzymes (n=55), and acute cardiac injury (n=9). Eight patients with acute cardiac injury were aged >60 years; seven of them had ≥2 underlying comorbidities (hypertension, diabetes mellitus, cardiovascular diseases, chronic obstructive pulmonary disease, and chronic kidney disease). Novel coronavirus pneumonia was much more severe in the patients with acute cardiac injury than in patients with nondefinite acute cardiac injury ( P <0.001). Multivariate analyses showed that CRP (C‐reactive protein) levels, old age, novel coronavirus pneumonia severity, and underlying comorbidities were the risk factors for cardiac abnormalities in patients with COVID‐19. Conclusions Cardiac involvements are common in patients with COVID‐19. Elevated CRP levels, old age, underlying comorbidities, and novel coronavirus pneumonia severity are the main risk factors for cardiac involvement in patients with COVID‐19. More attention should be given to cardiovascular protection during COVID‐19 treatment for mortality reduction. Registration URL: https://www.chictr.org ; Unique identifier: ChiCTR2000029955.

scholarly journals Risk factors for mortality in patients with Coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies

2020 ◽  
Author(s):  
Mohammad Parohan ◽  
Sajad Yaghoubi ◽  
Asal Seraji ◽  
Mohammad Hassan Javanbakht ◽  
Payam Sarraf ◽  
...  
Keyword(s):  
Risk Factors ◽  
Early Stage ◽  
Meta Analysis ◽  
Older Age ◽  
Cochrane Library ◽  
Chronic Obstructive ◽  
Pool Data ◽  
Obstructive Pulmonary Disease ◽  
Risk Of Death ◽  
Retrospective Cohort Studies

AbstractPurposeCoronavirus disease 2019 (COVID-19) is an emerging disease that was first reported in Wuhan city, the capital of Hubei province in China, and has subsequently spread worldwide. Risk factors for mortality have not been well summarized. Current meta-analysis of retrospective cohort studies was done to summarize available findings on the association between age, gender, comorbidities and risk of death from COVID-19 infection.MethodsOnline databases including Web of Science, PubMed, Scopus, Cochrane Library and Google scholar were searched to detect relevant publications up to 1 May 2020, using relevant keywords. To pool data, random-effects model was used. Furthermore, sensitivity analysis and publication bias test were also done.ResultsIn total, 14 studies with 29,909 COVID-19 infected patients and 1,445 cases of death were included in the current meta-analysis. Significant associations were found between older age (≥65 vs <65 years old) (pooled ORs=4.59, 95% CIs=2.61-8.04, p<0.001), gender (male vs female) (pooled ORs=1.50, 95% CIs=1.06-2.12, p=0.021) and risk of death from COVID-19 infection. In addition, hypertension (pooled ORs=2.70, 95% CIs= 1.40-5.24, p=0.003), cardiovascular diseases (CVDs) (pooled ORs=3.72, 95% CIs=1.77-7.83, p=0.001), diabetes (pooled ORs=2.41, 95% CIs=1.05-5.51, p=0.037), chronic obstructive pulmonary disease (COPD) (pooled ORs=3.53, 95% CIs=1.79-6.96, p<0.001) and cancer (pooled ORs=3.04, 95% CIs=1.80-5.14, p<0.001), were associated with higher risk of mortality.ConclusionOlder age (≥65 years old), male gender, hypertension, CVDs, diabetes, COPD and malignancies were associated with greater risk of death from COVID-19 infection. These findings could help clinicians to identify patients with poor prognosis at an early stage.

COVID-19 in Healthcare Workers: A Systematic Review and Meta-Analysis of Prevalence, Risk Factors, Clinical Characteristics, and Outcomes

2020 ◽  
Author(s):  
Sergio Alejandro Gómez-Ochoa ◽  
Oscar H. Franco ◽  
Lyda Z. Rojas ◽  
Sandra Lucrecia Romero Guevara ◽  
Luis Eduardo Echeverría ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Healthcare Workers ◽  
Clinical Characteristics ◽  
Meta Analysis

Risk factors for radiation failure in early-stage glottic carcinoma: A systematic review and meta-analysis

Oral Oncology ◽  
2016 ◽  
Vol 62 ◽  
pp. 90-100 ◽  
Author(s):  
Görkem Eskiizmir ◽  
Yasemin Baskın ◽  
Femin Yalçın ◽  
Hülya Ellidokuz ◽  
Robert L. Ferris
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Early Stage ◽  
Meta Analysis ◽  
Glottic Carcinoma

scholarly journals Clinical Characteristics, Risk Factors and Predictive Value of COVID-19 Pneumonia: A Retrospective Study of 173 Patients in Wuhan, China

2020 ◽  
Author(s):  
Yang Zhang ◽  
Jun Xue ◽  
Mi Yan ◽  
Jing Chen ◽  
Hai Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Predictive Model ◽  
Disease Severity ◽  
Roc Curve ◽  
Predictive Value ◽  
Older Patients ◽  
Clinical Characteristics ◽  
Lactic Dehydrogenase ◽  
Older Age ◽  
Hospital Outcome

Abstract Background: COVID-19 is a globally emerging infectious disease. As the global epidemic continues to spread, the risk of COVID-19 transmission and diffusion in the world will also remain. Currently, several studies describing its clinical characteristics have focused on the initial outbreak, but rarely to the later stage. Here we described clinical characteristics, risk factors for disease severity and in-hospital outcome in patients with COVID-19 pneumonia from Wuhan. Methods: Patients with COVID-19 pneumonia admitted to Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February 13 to March 8, 2020, were retrospectively enrolled. Multivariable logistic regression analysis was used to identify risk factors for disease severity and in-hospital outcome and establish predictive models. Receiver operating characteristic (ROC) curve was used to assess the predictive value of above models.Results: 106 (61.3%) of the patients were female. The mean age of study populations was 62.0 years, of whom 73 (42.2%) had underlying comorbidities mainly including hypertension (24.9%). The most common symptoms on admission were fever (67.6%) and cough (60.1%), digestive symptoms (22.0%) was also very common. Older age (OR: 3.420; 95%Cl: 1.415-8.266; P=0.006), diarrhea (OR: 0.143; 95%Cl: 0.033-0.611; P=0.009) and lymphopenia (OR: 4.769; 95%Cl: 2.019-11.266; P=0.000) were associated with severe illness on admission; the area under the ROC curve (AUC) of predictive model were 0.860 (95%CI: 0.802-0.918; P=0.000). Older age (OR: 0.309; 95%Cl: 0.142-0.674; P=0.003), leucopenia (OR: 0.165; 95%Cl: 0.034-0.793; P=0.025), increased lactic dehydrogenase (OR: 0.257; 95%Cl: 0.100-0.659; P=0.005) and interleukins-6 levels (OR: 0.294; 95%Cl: 0.099-0.872; P=0.027) were associated with poor in-hospital outcome; AUC of predictive model were 0.752 (95%CI: 0.681-0.824; P=0.000).Conclusion: Older patients with diarrhea and lymphopenia need early identification and timely intervention to prevent the progression to severe COVID-19 pneumonia. However, older patients with leucopenia, increased lactic dehydrogenase and interleukins-6 levels are at a high risk for poor in-hospital outcome.Trial registration: ChiCTR2000029549

scholarly journals Epidemiological characteristics, clinical characteristics, and prognostic factors of children with atopy hospitalised with adenovirus pneumonia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Miao Li ◽  
Xiao-Hua Han ◽  
Li-Yun Liu ◽  
Hui-Sheng Yao ◽  
Li-Li Yi
Keyword(s):  
Risk Factors ◽  
Disease Severity ◽  
Clinical Characteristics ◽  
Severe Infection ◽  
Small Airway ◽  
Personal History ◽  
Factors Associated ◽  
History Of ◽  
Radiological Changes ◽  
Epidemiological Characteristics

Abstract Background Atopy may be associated with disease severity and a poor prognosis of human adenovirus (HAdV) pneumonia in children. Our aim was to observe the clinical characteristics and pulmonary radiological changes in children with atopy and HAdV pneumonia in China. Methods Children hospitalised with HAdV pneumonia from June 2018 to December 2019 were analysed. All children were divided into atopic with HAdV, non-atopic with HAdV, and atopic without HAdV infection group. Each group was further divided into the mild and severe pneumonia groups according to disease severity. Standard treatment was initiated after admission, and regular follow-up evaluations were conducted at 1 month after discharge. Baseline and clinical characteristics and pulmonary radiological changes in children with and without atopy were evaluated. Risk factors associated with small airway lesions in patients with HAdV pneumonia were analysed. Results The eosinophil count in the atopic group was significantly higher than that in the non-atopic group (P < 0.05). Severe coughing, wheezing, and small airway lesions on chest high-resolution computed tomography (HRCT) upon admission, after discharge and 1 month after discharge were significantly higher in the atopic group (with or without HAdV infection) than in the non-atopic group (P < 0.05). There were significant differences in the number of patients with wheezing and small airway lesions during hospitalisation and after discharge among the three groups (P < 0.05). The risks of small airway lesions in children with a family or personal history of asthma, severe infection, atopy, and HAdV infection were 2.1-, 2.7-, 1.9-, 2.1-, and 1.4-times higher than those in children without these characteristics, respectively. Conclusions Children with atopy and HAdV pneumonia may experience severe coughing in mild cases and wheezing in mild and severe cases. Children with atopy are more susceptible to the development of small airway lesions, recurrent wheezing after discharge and slower recovery of small airway lesions as observed on pulmonary imaging than non-atopic children after HAdV infection. A family or personal history of asthma, atopy, severe infection, and HAdV infection are independent risk factors associated with the development of small airway lesion as observed on chest HRCT.

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