scholarly journals Mortality Predictors in Severe COVID-19 Patients from an East European Tertiary Center: A Never-Ending Challenge for a No Happy Ending Pandemic

2021 ◽  
Vol 11 (1) ◽  
pp. 58
Author(s):  
Amalia-Stefana Timpau ◽  
Radu-Stefan Miftode ◽  
Antoniu Octavian Petris ◽  
Irina-Iuliana Costache ◽  
Ionela-Larisa Miftode ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Poor Prognosis ◽  
Survival Rates ◽  
C Reactive Protein ◽  
Happy Ending ◽  
Factors Associated ◽  
Reactive Protein ◽  
Tertiary Center ◽  
D Dimer

(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.

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 ◽  
...  
Keyword(s):  
Risk Factors ◽  
Osmotic Pressure ◽  
Older Patients ◽  
Troponin I ◽  
High Sensitivity ◽  
C Reactive Protein ◽  
Factors Associated ◽  
Reactive Protein ◽  
All Cause Mortality ◽  
D Dimer

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.

scholarly journals Risk factors for clinical progression in patients with COVID-19: a retrospective study of electronic health record data in the United Kingdom

2020 ◽  
Author(s):  
Robert A Fletcher ◽  
Thomas Matcham ◽  
Marta Tibúrcio ◽  
Arseni Anisimovich ◽  
Stojan Jovanović ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mechanical Ventilation ◽  
Logistic Regression ◽  
Body Temperature ◽  
Blood Cell ◽  
Severe Disease ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Multivariable Logistic Regression ◽  
D Dimer

Background: The novel coronavirus disease 2019 (COVID-19) outbreak presents a significant threat to global health. A better understanding of patient clinical profiles is essential to drive efficient and timely health service strategies. In this study, we aimed to identify risk factors for a higher susceptibility to symptomatic presentation with COVID-19 and a transition to severe disease. Methods: We analysed data on 2756 patients admitted to Chelsea & Westminster Hospital NHS Foundation Trust between 1st January and 23rd April 2020. We compared differences in characteristics between patients designated positive for COVID-19 and patients designated negative on hospitalisation and derived a multivariable logistic regression model to identify risk factors for predicting risk of symptomatic COVID-19. For patients with COVID-19, we used univariable and multivariable logistic regression to identify risk factors associated with progression to severe disease defined by: 1) admission to the hospital AICU, 2) the need for mechanical ventilation, 3) in-hospital mortality, and 4) at least one measurement of elevated D-dimer (equal or superior to 1,000 ug/L) indicative of increased risk of venous thromboembolism. Results: The patient population consisted of 1148 COVID-19 positive and 1608 COVID-19 negative patients. Age, sex, self-reported ethnicity, C-reactive protein, white blood cell count, respiratory rate, body temperature, and systolic blood pressure formed the most parsimonious model for predicting risk of symptomatic COVID-19 at hospital admission. Among 1148 patients with COVID-19, 116 (10.1%) were admitted to the AICU, 71 (6.2%) required mechanical ventilation, 368 (32.1%) had at least one record of D-dimer levels ≥1,000 μg/L, and 118 patients died. In the multivariable logistic regression, age (OR = 0.953 per 1 year, 95% CI: 0.937-0.968) C-reactive protein (OR = 1.004 per 1 mg/L, 95% CI: 1.002-1.007), and white blood cell counts (OR = 1.059 per 109/L, 95% CI: 1.010-1.111) were found to be associated with admission to the AICU. Age (OR = 0.973 per 1 year, 95% CI: 0.955-0.990), C-reactive protein (OR = 1.003 per 1 mg/L, 95% CI: 1.000-1.006) and sodium (OR = 0.915 per 1 mmol/L, 0.868-0.962) were associated with mechanical ventilation. Age (OR = 1.023 per 1 year, 95% CI: 1.004-1.043), CRP (OR = 1.004 per 1 mg/L, 95% CI: 1.002-1.006), and body temperature (OR = 0.723 per 1oC, 95% CI: 0.541-0.958) were associated with elevated D-dimer. For mortality, we observed associations with age (OR = 1.060 per 1 year, 95% CI: 1.040-1.082), female sex (OR = 0.442, 95% CI: 0.442, 95% CI: 0.245-0.777), Asian ethnic background (OR = 2.237 vs White ethnic background, 95% CI: 1.111-4.510), C-reactive protein (OR = 1.004 per 1 mg/L, 95% CI: 1.001-1.006), sodium (OR = 1.038 per 1 mmol/L, 95% CI: 1.001-1.006), and respiratory rate (OR = 1.054 per 1 breath/min, 95% CI: 1.024-1.087). Conclusion: Our analysis suggests there are several demographic, clinical and laboratory findings associated with a symptomatic presentation of COVID-19. Moreover, significant associations between patient deterioration were found with age, sex and specific blood markers, chiefly C-reactive protein, and could help early identification of patients at risk of poorer prognosis. Further work is required to clarify the extent to which our observations are relevant beyond current settings.

Statin Therapy and Levels of Thrombosis Risk Factors In a Healthy Population: the Multi-Ethnic Study of Atherosclerosis

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3178-3178
Author(s):  
Nathan B. Adams ◽  
Pamela Lutsey ◽  
Aaron Folsom ◽  
David Herrington ◽  
Christopher T Sibley ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Viii ◽  
Healthy People ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Ethnic Study ◽  
Reactive Protein ◽  
Thrombosis Risk ◽  
D Dimer ◽  
Statin Use

Abstract Abstract 3178 Background: HMG CoA reductase inhibitors (statins) were recently reported to reduce the rate of venous thromboembolism (VTE) in healthy people. Statins reduce levels of inflammation biomarkers, however the mechanism for a reduction in VTE risk is unknown. We studied cross-sectional associations of statin use with hemostatic factors related to venous thrombosis risk in a large cohort of healthy people. Methods: Cross-sectional analyses were performed in the Multi-Ethnic Study of Atherosclerosis (MESA), a cohort study of 6814 healthy men and women age 45–84, free of clinical cardiovascular disease at baseline; 1001 were using statins. Twenty three warfarin users were excluded. Age, race, and sex-adjusted mean hemostatic factor levels were compared between statin users and nonusers, and multivariable linear regression models were used to assess associations of statin use with hemostasis factors, adjusted for age, race/ethnicity, education, income, hormone replacement therapy (in women) and major cardiovascular risk factors. Results: The table shows that those using statins had significantly lower levels of D-dimer, C-reactive protein and factor VIII than non-users. Homocysteine and von Willebrand factor did not differ by statin use. Specific adjustment for LDL and triglycerides did not attenuate the observed differences in these factors by statin use. Conclusions: Findings of lower D-dimer, factor VIII and C-reactive protein levels with statin use suggest mechanisms whereby statins might lower VTE risk. These associations were not explained by lipid levels on treatment. A prospective study linking these biochemical differences to VTE outcomes is warranted. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Risk factors associated with the presentation of brucellosis in the spine

2015 ◽  
Vol 14 (1) ◽  
pp. 33-36 ◽  
Author(s):  
Alberto Aceves Pérez
Keyword(s):  
Risk Factors ◽  
Lumbar Pain ◽  
X Rays ◽  
C Reactive Protein ◽  
Factors Associated ◽  
Reactive Protein ◽  
Significant Difference ◽  
Place Of Origin ◽  
Age Range ◽  
Strength Of Association

OBJECTIVE: The aim of this study is to describe the risk factors associated with the presentation of brucellosis on the spine, and determine the strength of association between these factors. METHODS: The medical records of patients with brucellosis on the spine were analyzed and a spreadsheet was created to compile the following data: age, sex, place of origin and residence, risk factors (exposure at work, consumption of unpasteurized products and comorbidities), clinical presentation (lumbar pain, anorexia, headache, myalgia, fatigue, paresthesia, dysesthesia, muscle weakness, weight loss, fever), affected spine level, presence of abscesses, disease duration (acute, subacute, chronic), laboratory studies (erythrocyte sedimentation rate, C-reactive protein, serology, blood culture, Rose Bengal test, histopathological reports), imaging studies (x-rays, MRI, bone gammagraphy), established treatment (medical and/or surgical), therapeutic failure and sequelae. RESULTS: A total of 17 patients, 10 women (58.8%) and seven men (41.2%), were reviewed from January 2007 to January 2011. The group had a mean age of 57.8 years with a standard deviation of +13.91 and age range between 16-74 years. CONCLUSIONS: There is no significant difference between the groups compared with respect to age and sex, however, improvement of the neurological deficit was observed in eight patients who underwent surgical procedure.

scholarly journals A brief-review of the risk factors for covid-19 severity

2020 ◽  
Vol 54 ◽  
pp. 60 ◽  
Author(s):  
J. E. Rod ◽  
Oscar Oviedo-Trespalacios ◽  
Javier Cortes-Ramirez
Keyword(s):  
Risk Factors ◽  
Disease Severity ◽  
World Health ◽  
Future Research ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
History Of ◽  
Health Organization ◽  
High Consistency ◽  
D Dimer

The World Health Organization has emphasized that one of the most important questions to address regarding the covid-19 pandemic is to understand risk factors for disease severity. We conducted a brief review that synthesizes the available evidence and provides a judgment on the consistency of the association between risk factors and a composite end-point of severe-fatal covid-19. Additionally, we also conducted a comparability analysis of risk factors across 17 studies. We found evidence supporting a total of 60 predictors for disease severity, of which seven were deemed of high consistency, 40 of medium and 13 of low. Among the factors with high consistency of association, we found age, C-reactive protein, D-dimer, albumin, body temperature, SOFA score and diabetes. The results suggest that diabetes might be the most consistent comorbidity predicting disease severity and that future research should carefully consider the comparability of reporting cases, factors, and outcomes along the different stages of the natural history of covid-19.

scholarly journals Development a Nomogram to Predict Prognosis in Severe and Critically Ill Patients with COVID-19

2020 ◽  
Author(s):  
Weiping Tan ◽  
Ying Zhu ◽  
Hui Yi ◽  
Yingyu Lin ◽  
Yumei Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Disease Severity ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Poor Prognosis ◽  
Total Bilirubin ◽  
Lung Involvement ◽  
Factors Associated ◽  
Independent Risk Factors ◽  
D Dimer

Abstract Background: The number of deaths caused by COVID-19 are on the rising worldwide. This study focused on severe and critically ill COVID-19, aim to explore independent risk factors associated with disease severity and to build a nomogram to predict patients’ prognosis.Methods: Patients with laboratory-confirmed COVID-19 admitted to the Union Hospital, Tongji Medical College and Hankou Hospital of Wuhan, China, from February 8th to April 6th, 2020. LASSO Regression and Multivariate Analysis were applied to screen independent factors. COX Nomogram was built to predict the 7-day, 14-day and 1-month survival probability.Results: A total of 115 severe [73 (63.5%)] and critically ill [42 (36.5%)] patients were included in this study, containing 93 (80.9%) survivors and 22 (19.1%) non-survivors. For disease severity, D-dimer [OR 6.33 (95%CI, 1.27-45.57], eosinophil percentage [OR 8.02 (95%CI, 1.82-45.04)], total bilirubin [OR 12.38 (95%CI, 1.24-223.65)] and lung involvement score [OR 1.22 (95%CI, 1.08-1.40)] were the independent factors associated with critical illness. Troponin [HR 9.02 (95%CI, 3.02, 26.97)] and total bilirubin [HR 3.16 (95%CI, 1.13, 8.85)] were the independent predictors for patients’ prognosis. Troponin≥26.2 ng/L and total bilirubin＞20 μmol/L were associated with poor prognosis. The nomogram based on the independent risk factors had a C-index of 0.92 (95%CI, 0.87, 0.98) for predicting survival probability. The survival nomogram validated in the critically ill patients had a C-index of 0.83 (95%CI: 0.75, 0.94).Conclusions: In conclusion, in severe and critically ill patients with COVID-19, D-dimer, eosinophil percentage, total bilirubin and lung involvement score were the independent risk factors associated with disease severity. The proposed survival nomogram accurately predicted prognosis. The survival analysis may suggest that early incidence of multiple organ dysfunction may be an important predictor of poor prognosis.

scholarly journals Risk factors of severe cases with COVID-19: a meta-analysis

2020 ◽  
Vol 148 ◽  
Author(s):  
Mingchun Ou ◽  
Jieyun Zhu ◽  
Pan Ji ◽  
Hongyuan Li ◽  
Zhimei Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Platelet Count ◽  
Weighted Mean Difference ◽  
Meta Analysis ◽  
Severe Disease ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Electronic Search ◽  
Low Platelet Count ◽  
D Dimer

Abstract Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-analysed 40 studies involving 5872 COVID-19 patients. The average age was higher in severe COVID-19 patients (weighted mean difference; WMD = 10.69, 95%CI 7.83–13.54). Patients with severe disease showed significantly lower platelet count (WMD = −18.63, 95%CI −30.86 to −6.40) and lymphocyte count (WMD = −0.35, 95%CI −0.41 to −0.30) but higher C-reactive protein (CRP; WMD = 42.7, 95%CI 31.12–54.28), lactate dehydrogenase (LDH; WMD = 137.4, 95%CI 105.5–169.3), white blood cell count（WBC), procalcitonin（PCT）, D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and creatinine（Cr）. Similarly, patients who died showed significantly higher WBC, D-dimer, ALT, AST and Cr but similar platelet count and LDH as patients who survived. These results indicate that older age, low platelet count, lymphopenia, elevated levels of LDH, ALT, AST, PCT, Cr and D-dimer are associated with severity of COVID-19 and thus could be used as early identification or even prediction of disease progression.

Sign in / Sign up

Export Citation Format

Share Document