scholarly journals Risk factors associated with 28-day all-cause mortality in older severe COVID-19 patients in Wuhan, China: a retrospective observational study

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yi Jiang ◽  
Subi Abudurexiti ◽  
Meng-Meng An ◽  
Da Cao ◽  
Jie Wei ◽  
...  

AbstractWe aimed to analyse clinical characteristics and identify risk factors predicting all-cause mortality in older patients with severe coronavirus disease 2019 (COVID-19). A total of 281 older patients with severe COVID-19 were categorized into two age groups (60–79 years and ≥ 80 years). Epidemiological, clinical, and laboratory data, and outcome were obtained. Patients aged ≥ 80 years had higher mortality (63.6%) than those aged 60–79 years (33.5%). Anorexia and comorbidities including hypertension, diabetes and COPD, higher levels of lactate dehydrogenase (LDH), osmotic pressure, C-reactive protein, D-dimer, high-sensitivity troponin I and procalcitonin, and higher SOFA scores were more common in patients aged > 80 years than those aged 60–79 years and also more common and higher in non-survivors than survivors. LDH, osmotic pressure, C-reactive protein, D-dimer, high-sensitivity troponin I, and procalcitonin were positively correlated with age and sequential organ failure assessment (SOFA), whereas CD8+ and lymphocyte counts were negatively correlated with age and SOFA. Anorexia, comorbidities including hypertension, diabetes, and chronic obstructive pulmonary disease (COPD), LDH, osmotic pressure, and SOFA were significantly associated with 28-day all-cause mortality. LDH, osmotic pressure and SOFA were valuable for predicting 28-day all-cause mortality, whereas the area under the receiver operating characteristic curve of LDH was the largest, with sensitivity of 86.0% and specificity of 80.8%. Therefore, patients with severe COVID-19 aged ≥ 80 years had worse condition and higher mortality than did those aged 60–79 years, and anorexia and comorbidities including hypertension, diabetes, COPD, elevated plasma osmotic pressure, LDH, and high SOFA were independent risk factors associated with 28-day all-cause mortality in older patients with severe COVID-19. LDH may have the highest predictive value for 28-day all-cause mortality in all examined factors.

2021 ◽  
Vol 11 (1) ◽  
pp. 58
Author(s):  
Amalia-Stefana Timpau ◽  
Radu-Stefan Miftode ◽  
Antoniu Octavian Petris ◽  
Irina-Iuliana Costache ◽  
Ionela-Larisa Miftode ◽  
...  

(1) Background: There are limited clinical data in patients from the Eastern European regions hospitalized for a severe form of Coronavirus disease 2019 (COVID-19). This study aims to identify risk factors associated with intra-hospital mortality in patients with COVID-19 severe pneumonia admitted to a tertiary center in Iasi, Romania. (2) Methods: The study is of a unicentric retrospective observational type and includes 150 patients with severe COVID-19 pneumonia divided into two subgroups, survivors and non-survivors. Demographic and clinical parameters, as well as comorbidities, laboratory and imaging investigations upon admission, treatments, and evolution during hospitalization were recorded. First, we sought to identify the risk factors associated with intra-hospital mortality using logistic regression. Secondly, we assessed the correlations between D-Dimer and C-reactive protein and predictors of poor prognosis. (3) Results: The predictors of in-hospital mortality identified in the study are D-dimers >0.5 mg/L (p = 0.002), C-reactive protein >5mg/L (p = 0.001), and heart rate above 100 beats per minute (p = 0.001). The biomarkers were also significantly correlated the need for mechanical ventilation, admission to intensive care unit, or multiple organ dysfunction syndrome. By area under the curve (AUC) analysis, we noticed that both D-Dimer (AUC 0.741) and C-reactive protein (AUC 0.707) exhibit adequate performance in predicting a poor prognosis in patients with severe viral infection. (4) Conclusions: COVID-19′s outcome is significantly influenced by several laboratory and clinical factors. As mortality induced by severe COVID-19 pneumonia is considerable, the identification of risk factors associated with negative outcome coupled with an early therapeutic approach are of paramount importance, as they may significantly improve the outcome and survival rates.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Nikorowitsch ◽  
F Ojeda ◽  
K.J Lackner ◽  
R.B Schnabel ◽  
S Blankenberg ◽  
...  

Abstract Background Risk stratification among patients with coronary artery disease (CAD) and acute coronary syndrome (ACS) is of considerable interest due to the potential to guide secondary preventive therapies. Cardiac troponins as well as the inflammatory biomarker C-reactive protein (CRP) and natriuretic peptides have now emerged as useful blood-based biomarkers for risk stratification concerning incident cardiac events. Nevertheless, it has not been tested, whether one of these biomarkers yields predictive value beyond the others. Thus, we evaluated the head-to-head potential of high-sensitivity troponin I (hsTnI), high-sensitivity (hs) CRP and NT-proBNP as prognostic biomarkers for adverse outcome in patients with manifest CAD. Methods Plasma levels of hsTnI, hsCRP and NT-proBNP were measured in a cohort of 2,193 patients with documented CAD –including 837 patients with ACS and 1,356 patients with stable angina pectoris (SAP). Cardiovascular death and/or non-fatal acute myocardial infarction (MI) were defined as the main outcome measures. The association of circulating biomarker levels, used after log-transformation, with cardiovascular mortality and non-fatal MI during follow-up was assessed by Cox proportional hazards analyses adjusted according to three different models including cardiovascular risk factors and either the biomarkers hsCRP, NT-proBNP or hsTnI. Additionally, the net reclassification index (NRI) was calculated using the category five-year event probabilities for two models. Results During a median follow-up of 3.8 years, a total of 231 events were registered (10.5%). All three biomarkers reliably predicted cardiovascular death and/or MI, as evidenced by survival curves stratified for tertiles of circulating levels. In Cox regression analyses with adjustments for sex, age, and conventional cardiovascular risk factors, the hazard ratio (HR) per standard deviation (SD) for the prediction of cardiovascular (CV) death and/or non-fatal MI during follow-up was 1.39 [95% CI: 1.24–1.57, p<0.001] for hsTnI, 1.41 [95% CI: 1.24–1.60, p<0.001] for hsCRP, and 1.64 [95% CI: 1.39–1.92, p<0.001] for NT-proBNP. Nevertheless, upon further adjustment for the other two biomarkers, the significance of the association for hsTnI got lost, association for hsCRP attenuated, and only NT-proBNP kept its predictive value and was still strongly associated with the combined endpoint (1.47 [95% CI: 1.19–1.82, p<0.001]), but also with CV death alone (2.42 [95% CI: 1.86–3.15, p<0.001]). Moreover, only NT-proBNP significantly improved C-statistics and net reclassification index (NRI) for the prediction of cardiovascular death. Conclusions NT-proBNP reliably predicted cardiovascular death and myocardial infarction in patients with manifest CAD and provides incremental value beyond hsCRP and hsTnI. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): “Stiftung Rheinland-Pfalz für Innovation”, Ministry for Science and Education


Author(s):  
DHEAA SHAMIH ZAGEER ◽  
SUNDUS FADHIL HANTOOSH ◽  
WATHIQ Q SH. ALI

Objectives: This meta-analysis aims to investigate the role of high sensitivity-cardiac troponin I (hs-cTnI) as a prognostic factor for cardiac injury and as a risk factor of death for patients with coronavirus disease 2019 (COVID-19). This meta-analysis studies the impact of hs-cTnI elevated levels on C-reactive protein (C-RP) protein, interleukin-6 (IL-6), and D-dimer (DD) levels in COVID-19 affected individuals. Methods: Of 557 downloaded articles according to chosen criteria for this meta-analysis, 11 were finally chosen as they met the criteria. Results: Male and elderly individuals were noticeably prone to COVID-19 infection and considerably underwent death in comparison with female and young individuals. Levels of hs-cTn I, C-RP, IL-6, and DD were significantly higher among dead compare to survivors for COVID-19 affected individuals. Conclusions: Levels of C-RP, IL-6, and DD were considerably high and in linear relation with elevated hs-cTn I levels. Hs-cTn I can be considered a reliable marker for COVID-19 infection prognosis and potent predictor of decease.


2019 ◽  
Vol 55 (2) ◽  
pp. 1901314 ◽  
Author(s):  
Benjamin Waschki ◽  
Peter Alter ◽  
Tanja Zeller ◽  
Christina Magnussen ◽  
Johannes T. Neumann ◽  
...  

Chronic obstructive pulmonary disease (COPD) is a leading cause of death with a considerable part of the population dying from cardiovascular diseases. High-sensitivity troponin I (hs-TnI) might help to better identify COPD patients at high risk of mortality. We aimed to study the predictive value of hs-TnI for all-cause mortality beyond established COPD assessments, and after consideration of relevant cardiovascular risk factors and prevalent cardiovascular diseases, in a broad population with stable COPD.Circulating hs-TnI concentrations together with a wide range of respiratory and cardiovascular markers were evaluated in 2085 patients with stable COPD across all severity stages enrolled in the multicentre COSYCONET cohort study. The primary outcome was all-cause mortality over 3 years of follow-up.Hs-TnI was detectable in 2020 (96.9%) patients. The median hs-TnI concentration was 3.8 ng·L−1 (interquartile range 2.5–6.6 ng·L−1), with levels above the 99th percentile reference limit of 27 ng·L−1 observed in 1.8% of patients. In Cox regression analyses including adjustments for airflow limitation, dyspnoea grade, exercise capacity and history of severe exacerbations, as well as traditional cardiovascular risk factors, estimated glomerular filtration rate, ankle–brachial index, N-terminal pro-brain natriuretic peptides and prevalent cardiovascular diseases, hs-TnI was a significant predictor for all-cause mortality, both as a continuous variable (hazard ratio (HR) for log hs-TnI 1.28, 95% CI 1.01–1.62) and categorised according to the cut-off of 6 ng·L−1 (HR 1.63, 95% CI 1.10–2.42).In patients with stable COPD, hs-TnI is a strong predictor of all-cause mortality beyond established COPD mortality predictors, and independent of a broad range of cardiovascular risk factors and prevalent cardiovascular diseases. Hs-TnI concentrations well below the upper reference limit provide further prognostic value for all patients with COPD when added to established risk assessments.


Circulation ◽  
2020 ◽  
Vol 142 (12) ◽  
pp. 1148-1158
Author(s):  
Brendan M. Everett ◽  
M.V. Moorthy ◽  
Jani T. Tikkanen ◽  
Nancy R. Cook ◽  
Christine M. Albert

Background: The majority of sudden cardiac deaths (SCDs) occur in low-risk populations often as the first manifestation of cardiovascular disease (CVD). Biomarkers are screening tools that may identify subclinical cardiovascular disease and those at elevated risk for SCD. We aimed to determine whether the total to high-density lipoprotein cholesterol ratio, high-sensitivity cardiac troponin I, NT-proBNP (N-terminal pro-B-type natriuretic peptide), or high-sensitivity C-reactive protein individually or in combination could identify individuals at higher SCD risk in large, free-living populations with and without cardiovascular disease. Methods: We performed a nested case-control study within 6 prospective cohort studies using 565 SCD cases matched to 1090 controls (1:2) by age, sex, ethnicity, smoking status, and presence of cardiovascular disease. Results: The median study follow-up time until SCD was 11.3 years. When examined as quartiles or continuous variables in conditional logistic regression models, each of the biomarkers was significantly and independently associated with SCD risk after mutually controlling for cardiac risk factors and other biomarkers. The mutually adjusted odds ratios for the top compared with the bottom quartile were 1.90 (95% CI, 1.30–2.76) for total to high-density lipoprotein cholesterol ratio, 2.59 (95% CI, 1.76–3.83) for high-sensitivity cardiac troponin I, 1.65 (95% CI, 1.12–2.44) for NT-proBNP, and 1.65 (95% CI, 1.13–2.41) for high-sensitivity C-reactive protein. A biomarker score that awarded 1 point when the concentration of any of those 4 biomarkers was in the top quartile (score range, 0–4) was strongly associated with SCD, with an adjusted odds ratio of 1.56 (95% CI, 1.37–1.77) per 1-unit increase in the score. Conclusions: Widely available measures of lipids, subclinical myocardial injury, myocardial strain, and vascular inflammation show significant independent associations with SCD risk in apparently low-risk populations. In combination, these measures may have utility to identify individuals at risk for SCD.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xiangxue Lu ◽  
Jialing Zhang ◽  
Shixiang Wang ◽  
Qian Yu ◽  
Han Li

Background. Renal anemia is a common complication of hemodialysis patients. Erythropoietin (EPO) hyporesponsiveness has been recognized as an important factor to poor efficacy of recombinant human erythropoietin in the treatment of renal anemia. More importantly, increased erythropoiesis resistance index (ERI) may be associated with inflammation and increased mortality. Objective. The objective of this research was to investigate correlated factors of EPO responsiveness and to clarify the relationships between EPO hyporesponsiveness and cardiovascular mortality and all-cause mortality among maintenance hemodialysis patients. Methods. This prospective cohort study enrolled 276 maintenance hemodialysis patients for a 55-month follow-up to investigate the factors related to ERI and its relationship to all-cause mortality and cardiovascular mortality. Results. ERI was positively correlated with predialysis serum high-sensitivity C-reactive protein ( r = 0.234 , p < 0.001 ), alkaline phosphatase ( r = 0.134 , p = 0.028 ), and ferritin ( r = 0.155 , p = 0.010 ) and negatively correlated with albumin ( r = − 0.206 , p < 0.001 ) and creatinine ( r = − 0.232 , p < 0.001 ). As multiple linear regression showed, predialysis serum albumin, high-sensitivity C-reactive protein, ferritin, and creatinine were independent correlated factors of ERI ( p < 0.05 ). Kaplan–Meier curves showed that the cumulative incidences of both cardiovascular mortality and all-cause mortality were significantly higher in patients with ERI > 11.04   IU / kg / w / g / dL (both p < 0.01 ). The high ERI group was significantly associated with higher risk for all-cause mortality (OR 1.781, 95% CI 1.091 to 2.910, p = 0.021 ) and cardiovascular mortality (OR 1.972, 95% CI 1.139 to 3.417, p = 0.015 ) after adjusting for confounders. Conclusions. Predialysis serum albumin, high-sensitivity C-reactive protein, ferritin, and creatinine were independent correlated factors of EPO responsiveness among maintenance hemodialysis patients. Patients with higher ERI values had a higher all-cause mortality rate and cardiovascular mortality rate.


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