Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros











Base de dados
Intervalo de ano de publicação
1.
Biomark Res ; 8: 37, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32879731

RESUMO

BACKGROUND: Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters. METHODS: EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes. RESULTS: The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87; P-value:< 0.001), troponin I (SMD = 0.71, 95%CI:0.42;1.00; P-value:< 0.001), D-dimer (SMD = 0.54,95%CI:0.31;0.77; P-value:< 0.001), prothrombin time (SMD = 0.48, 95%CI:0.23;0.73; P-value: < 0.001), procalcitonin (SMD = 0.72, 95%CI: 0.34;1,11; P-value:< 0.001), interleukin-6 (SMD = 0.93, 95%CI: 0.25;1.61;P-value: 0.007),C-reactive protein (CRP) (SMD = 1.34, 95%CI:0.83;1.86; P-value:< 0.001), ALAT (SMD = 0.53, 95%CI: 0.34;0,71; P-value:< 0.001), ASAT (SMD = 0.96, 95%CI: 0.58;1.34; P-value: < 0.001), LDH (SMD = 1.36, 95%CI: 0.75;1.98; P-value:< 0.001), CK (SMD = 0.48, 95%CI: 0.10;0.87; P-value:0.01), total bilirubin (SMD = 0.32, 95%CI: 0.18;0.47;P-value: < 0.001), γ-GT (SMD = 1.03, 95%CI: 0.83;1.22; P-value: < 0.001), myoglobin (SMD = 1.14, 95%CI: 0.81;1.47; P-value:< 0.001), blood urea nitrogen (SMD = 0.32, 95%CI: 0.18;0.47;P-value:< 0.001) and Creatininemia (SMD = 0.18, 95%CI: 0.01;0.35; P-value:0.04) were significantly more elevated in severe cases, in opposition to lymphocyte count (SMD = -0.57, 95%CI:-0.71; - 0.42; P-value: < 0.001) and proportion of lymphocytes (SMD = -0.81, 95%CI: - 1.12; - 0.49; P-value:< 0.001) which were found to be significantly lower in severe patients with other biomarker such as thrombocytes (SMD = -0.26, 95%CI: - 0.48; - 0.04; P-value:0.02), eosinophils (SMD = - 0.28, 95%CI:-0.50; - 0.06; P-value:0.01), haemoglobin (SMD = -0.20, 95%CI: - 0.37,-0.03; P-value:0.02), albuminemia (SMD-1.67,95%CI -2.40; - 0.94; P-value:< 0.001), which were also lower. Furthermore, severe COVID-19 cases had a higher risk to have lymphopenia (RR =1.66, 95%CI: 1.26;2.20; P-value:0.002), thrombocytopenia (RR = 1.86, 95%CI: 1.59;2.17; P-value: < 0.001), elevated procalcitonin level (RR = 2.94, 95%CI: 2.09-4.15; P-value:< 0.001), CRP (RR =1.41,95%CI: 1.17-1.70; P-value:0.003), ASAT(RR =2.27, 95%CI: 1.76;2.94; P-value:< 0.001), CK(RR = 2.61, 95%CI: 1.35;5.05; P-value: 0.01), Creatininemia (RR = 3.66, 95%CI: 1.53;8.81; P-value: 0.02) and LDH blood level (RR = 2.03, 95%CI: 1.42;290; P-value: 0.003). CONCLUSION: Some inflammatory (procalcitonin, CRP), haematologic (lymphocyte, Thrombocytes), and biochemical (CK-MB, Troponin I, D-dimer, ASAT, ALAT, LDH, γ-GT) biomarkers are significantly associated with severe COVID-19. These biomarkers might help in prognostic risk stratification of patients with COVID-19.

3.
BMJ Open ; 9(9): e030594, 2019 09 20.
Artigo em Inglês | MEDLINE | ID: mdl-31542752

RESUMO

OBJECTIVE: To describe the global cardiovascular disease (CVD) risk distribution in a young adult-aged population living in Yaoundé, Cameroon and depict factors likely influencing this risk distribution. DESIGN: A cross-sectional study between May and July 2017. SETTING: The University of Yaoundé I, Cameroon. PARTICIPANTS: Any university student aged 18 years and above, with no known history of CVD, found at the campus during recruitment and who voluntarily agreed to be included in the study. PRIMARY AND SECONDARY OUTCOME MEASURES: The global risk of CVD was measured with the non-laboratory-based INTERHEART Modifiable Risk Score. RESULTS: A total of 949 participants (54% males) were recruited; the median age was 23 (IQR 21-26) years. The CVD risk varied between 2 and 21, with a median of 9 (IQR 7-12); 51.2% of students had a low risk of CVD, 43.7% had a moderate risk and 5.1% presented a high risk of CVD. The number of years since first registration at the university (ß=0.08), history of sudden death among biological parents (ß=1.28), history of hypertension among brothers/sisters (ß=1.33), history of HIV infection (ß=4.34), the Alcohol Use Disorder Identification Test-Consumption score (ß=0.13), regular exposure to firewood smoke (ß=1.29), eating foods/drinks with too much sugar ≥1 time/day (ß=0.96), eating foods/snacks with too much oil ≥3 times/week (ß=1.20) and eating dairy products≥1 time/day (ß=0.61) were the independent factors likely influencing participants' global risk of CVD. CONCLUSION: Almost 50% of participants had moderate or high risk of CVD. Specific interventions targeting major CVD risk factors should be put in place among young adults to prevent or reduce this upcoming overburdened picture of CVD.


Assuntos
Doenças Cardiovasculares/epidemiologia , Adolescente , Camarões/epidemiologia , Estudos Transversais , Feminino , Humanos , Masculino , Medição de Risco , Estudantes , Universidades , Adulto Jovem
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA