Serum cholinesterase on admission as a predictor of COVID-19 pneumonia severity and mortality

2020 ◽  
Author(s):  
Kento Nakajima ◽  
Takeru Abe ◽  
Ryo Saji ◽  
Fumihiro Ogawa ◽  
Hayato Taniguchi ◽  
...  

Abstract Background Although some predictors of COVID-19 pneumonia severity and mortality have been identified, much of the pathophysiology of this emerging infectious disease remains unclear. We hypothesized that a patient’s cholinesterase level on admission could predict COVID-19 pneumonia severity and mortality. Methods We retrospectively collected data of 26 COVID-19 pneumonia patients from February–May 2020. Outcomes were aggravation of symptoms and in-hospital mortality. We compared receiver operating curves of cholinesterase, C-reactive protein, lymphocytes, albumin, D-dimer, and PaO2/FiO2 ratio and examined prediction accuracy. Regarding the interaction between cholinesterase and other variables, each independent variable was divided into two groups using cutoff values, and interaction terms were created. Results Cholinesterase levels on admission were significantly lower in the severe group than in the mild-to-moderate group (326 vs. 218 IU/L, p = 0.006; area under the curve: 0.81; 95% confidence interval 0.61–0.94). When comparing the area under the curve, cholinesterase was comparable to C-reactive protein, albumin, lymphocytes, and PaO2/FiO2 ratio other than D-dimer in the prediction accuracy of severe cases and mortality. Cholinesterase levels on admission were significantly lower in the death group than in the survival group (274 vs. 187.5 IU/L, p = 0.028; area under the curve: 0.79; 95% interval 0.58–0.93). Regarding the interaction between cholinesterase and established predictors, the prediction accuracy of both severity and death was higher when cholinesterase was combined with each predictor than when cholinesterase was used alone. Conclusions Cholinesterase may reflect the disease state of COVID-19 pneumonia, suggesting that a patient’s cholinesterase level on admission may be useful as a predictor of severity and prognosis.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 5056-5056
Author(s):  
Claire Siemes ◽  
Paul Berendes ◽  
Frans van der Straaten ◽  
Ton Cleophas ◽  
Mark-David Levin

Abstract Abstract 5056 OBJECTIVE To investigate the relation between elevated levels of C-reactive protein (CRP) and D-dimer, and to study whether D-dimer levels can be interpreted in relation to elevated levels of CRP in the prediction of a pulmonary embolism in order to increase its specificity without decline in sensitivity. METHODS Between august 2004 and april 2007 (33 months) serum levels of C-reactive protein (mmol/L) and D-dimer (mmol/L) were cross-sectionally collected and pulmonary embolisms on CT-angiograms were scored within 48 hours. The study was devided into three parts. First, characteristics of excluded persons were studied. Second, the correlation between CRP and D-dimer level was considered in those with a defined (i.e. values with < and > symbols excluded) biomarker level. Finally, the effect of CRP level on the sensitivity of D-dimer for pulmonary embolisms was examined. RESULTS CRP and D-dimer levels were positively correlated ( r = 0.37; p < 0.001), and both were increased in persons with a pulmonary embolism (CRP: p = 0.02; D-dimer: p < 0.001). 14 % of variability in D-dimer level was explained by CRP level. Median D-dimer levels were increased in the pulmonary embolism (PE) group, however, the increase in D-dimer level by CRP quartile as was found in the non-PE was not seen in de PE-group. Adding the interaction term of CRP and D-dimer to the statistical model showed some influence on the area under the curve (AUC). Nevertheless, this was not significantly different from the model with only D-dimer levels. However, when stratified for CRP quartile, ROC-curves of the predictive effect of D-dimer on pulmonary embolisms showed a decrease in AUC by increment of CRP quartile. CONCLUSION CRP and D-dimer are positively correlated, and both predictive of PE. The predictive value of D-dimer for PE declines by increment of CRP, although this seems to be safely for a broader range of accompanied CRP levels. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Minping Zhang ◽  
Enhua Xiao ◽  
Jiayi Liu ◽  
Yeyu Cai ◽  
Qizhi Yu

Abstract Background: To analyze clinical features and laboratory indicators and identify the markers of exacerbation in COVID-19. Methods: We reviewed clinical histories of 177 patients with confirmed COVID-19. The patients were categorized into mild group (153 patients) and severe group (24 patients). The baseline demographic and laboratory indicators of all patients were collected, including the neutrophil-lymphocyte count ratio (NLCR) and C-reactive protein to albumin ratio (CAR). Receiver operating characteristic curve (ROC) analysis was performed to search for indicators predicting exacerbation in COVID-19 patients, and acquiring the area under the curves (AUCs), sensitivity, specificity and cut-off value. Results: The age of the severe group were significantly older than those of the mild group (P <0.01). Fever was the typical symptom in all COVID-19 patients. Cough and fatigue were manifested in mild group, yet severe patients were more prominent in dyspnea. The laboratory indicators showing that the mild group mainly had an elevated C-reactive protein; the severe group had a decreased lymphocyte count and lymphocyte ratio. WBC, neutrophil count, neutrophil ratio, D-dimer, AST, ALT, LDH, BUN, CRP levels increased. Furthermore, compared to mild group, WBC, neutrophil count, neutrophil ratio (Neut%), D-dimer, total bilirubin, albumin, AST, ALT, LDH, BUN, creatine kinase, CRP, CAR, NLCR were significantly higher, the lymphocyte count, lymphocyte ratio, and APTT were significantly lower in severe group (P<0.05). The ROC indicating that NLCR, Neut%, CAR, CRP, and LDH were better at distinguishing mild and severe patients. The AUCs of NLCR was larger than others (NLCR>Neut%>CAR>CRP>LDH: 0.939>0.925>0.908>0.895>0.873), which suggested that NLCR was the optimal maker; a cut-off value for NLCR of 6.15 had 87.5% sensitivity and 97.6% specificity for predicting exacerbation in COVID-19 patients. Conclusions: The different types of COVID-19 had significant differences in age, clinical symptoms and laboratory indicators, and severe patients might be easier to suffer from the multiple organ damage. An elevated NLCR may indicate that the disease was progressing towards exacerbation. It was essential to dynamically monitor the serum NLCR levels which contributed to evaluate the patient's condition and efficacy. NLCR could be used as a novel, highly specific and sensitive marker for predicting severity of COVID-19 patients.


Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1067
Author(s):  
Oleksandr Oliynyk ◽  
Wojciech Barg ◽  
Anna Slifirczyk ◽  
Yanina Oliynyk ◽  
Vitaliy Gurianov ◽  
...  

Background: Cytokine storm in COVID-19 is heterogenous. There are at least three subtypes: cytokine release syndrome (CRS), macrophage activation syndrome (MAS), and sepsis. Methods: A retrospective study comprising 276 patients with SARS-CoV-2 pneumonia. All patients were tested for ferritin, interleukin-6, D-Dimer, fibrinogen, calcitonin, and C-reactive protein. According to the diagnostic criteria, three groups of patients with different subtypes of cytokine storm syndrome were identified: MAS, CRS or sepsis. In the MAS and CRS groups, treatment results were assessed depending on whether or not tocilizumab was used. Results: MAS was diagnosed in 9.1% of the patients examined, CRS in 81.8%, and sepsis in 9.1%. Median serum ferritin in patients with MAS was significantly higher (5894 vs. 984 vs. 957 ng/mL, p < 0.001) than in those with CRS or sepsis. Hypofibrinogenemia and pancytopenia were also observed in MAS patients. In CRS patients, a higher mortality rate was observed among those who received tocilizumab, 21 vs. 10 patients (p = 0.043), RR = 2.1 (95% CI 1.0–4.3). In MAS patients, tocilizumab decreased the mortality, 13 vs. 6 patients (p = 0.013), RR = 0.50 (95% CI 0.25–0.99). Сonclusions: Tocilizumab therapy in patients with COVID-19 and CRS was associated with increased mortality, while in MAS patients, it contributed to reduced mortality.


Diagnostics ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 829
Author(s):  
Yana Kogan ◽  
Edmond Sabo ◽  
Majed Odeh

Objectives: The role of serum C-reactive protein (CRPs) and pleural fluid CRP (CRPpf) in discriminating uncomplicated parapneumonic effusion (UCPPE) from complicated parapneumonic effusion (CPPE) is yet to be validated since most of the previous studies were on small cohorts and with variable results. The role of CRPs and CRPpf gradient (CRPg) and of their ratio (CRPr) in this discrimination has not been previously reported. The study aims to assess the diagnostic efficacy of CRPs, CRPpf, CRPr, and CRPg in discriminating UCPPE from CPPE in a relatively large cohort. Methods: The study population included 146 patients with PPE, 86 with UCPPE and 60 with CPPE. Levels of CRPs and CRPpf were measured, and the CRPg and CRPr were calculated. The values are presented as mean ± SD. Results: Mean levels of CRPs, CRPpf, CRPg, and CRPr of the UCPPE group were 145.3 ± 67.6 mg/L, 58.5 ± 38.5 mg/L, 86.8 ± 37.3 mg/L, and 0.39 ± 0.11, respectively, and for the CPPE group were 302.2 ± 75.6 mg/L, 112 ± 65 mg/L, 188.3 ± 62.3 mg/L, and 0.36 ± 0.19, respectively. Levels of CRPs, CRPpf, and CRPg were significantly higher in the CPPE than in the UCPPE group (p < 0.0001). No significant difference was found between the two groups for levels of CRPr (p = 0.26). The best cut-off value calculated by the receiver operating characteristic (ROC) analysis for discriminating UCPPE from CPPE was for CRPs, 211.5 mg/L with area under the curve (AUC) = 94% and p < 0.0001, for CRPpf, 90.5 mg/L with AUC = 76.3% and p < 0.0001, and for CRPg, 142 mg/L with AUC = 91% and p < 0.0001. Conclusions: CRPs, CRPpf, and CRPg are strong markers for discrimination between UCPPE and CPPE, while CRPr has no role in this discrimination.


2007 ◽  
Vol 24 (5) ◽  
pp. 1068-1077 ◽  
Author(s):  
Emine Akinci ◽  
Gulbin Aygencel ◽  
Ayfer Keles ◽  
Ahmet Demircan ◽  
Fikret Bildik

2012 ◽  
Vol 39 (4) ◽  
pp. 728-734 ◽  
Author(s):  
HYOUN-AH KIM ◽  
JA-YOUNG JEON ◽  
JEONG-MI AN ◽  
BO-RAM KOH ◽  
CHANG-HEE SUH

Objective.C-reactive protein (CRP), S100A8/A9, and procalcitonin have been suggested as markers of infection in patients with systemic lupus erythematosus (SLE). We investigated the clinical significance of these factors for indication of infection in SLE.Methods.Blood samples were prospectively collected from 34 patients with SLE who had bacterial infections and 39 patients with SLE who had disease flares and no evidence of infection. A second set of serum samples was collected after the infections or flares were resolved.Results.CRP levels of SLE patients with infections were higher than those with flares [5.9 mg/dl (IQR 2.42, 10.53) vs 0.06 mg/dl (IQR 0.03, 0.15), p < 0.001] and decreased after the infection was resolved. S100A8/A9 and procalcitonin levels of SLE patients with infection were also higher [4.69 μg/ml (IQR 2.25, 12.07) vs 1.07 (IQR 0.49, 3.05) (p < 0.001) and 0 ng/ml (IQR 0–0.38) vs 0 (0–0) (p < 0.001), respectively]; these levels were also reduced once the infection disappeared. In the receiver-operating characteristics analysis of CRP, S100A8/A9, and procalcitonin, the area under the curve was 0.966 (95% CI 0.925–1.007), 0.732 (95% CI 0.61–0.854), and 0.667 (95% CI 0.534–0.799), respectively. CRP indicated the presence of an infection with a sensitivity of 100% and a specificity of 90%, with a cutoff value of 1.35 mg/dl.Conclusion.Our data suggest that CRP is the most sensitive and specific marker for diagnosing bacterial infections in SLE.


2021 ◽  

Objectives: The COVID-19 disease can manifest itself with acute respiratory distress syndrome, renal failure, and septic shock in critically ill patients. There are opinions that there is a correlation between high IL-6 levels and disease severity. In our intensive care unit, we evaluated the changes in the laboratory data and radiological involvement severity of our patients who underwent tocilizumab treatment and examined the appropriate laboratory parameter in the treatment follow-up and its effect on survival. Methods: In the critical patient follow-up of COVID-19, 17 of the 23 patients treated with tocilizumab had a mortal course (Group 1) and the remaining 6 (Group 2) were. The C-reactive protein, lactate dehydrogenase, IL-6, D-dimer, procalcitonin, albumin, and ferritin values, which were routinely screened in our clinic on the day of tocilizumab treatment and the 5th day after, were recorded. Both the change between the two groups and the change between days 1 and 5 were analyzed. Results: A total of 23 patients (55.35 ± 13.31 years) were included in the study. The computed tomography severity score assessed at the intensive care unit admission was statistically significantly higher in Group 2. The procalcitonin and lactate dehydrogenase values measured on day 5 after tocilizumab were significantly lower in Group 2. On the 5th day after treatment, the levels of C-reactive protein, ferritin, chest X-rays, IL-6 and D-dimer statistically significantly changed compared to the first day of the treatment. In correlation with the decrease in PCT as of the 5th day after tocilizumab administration, an increasing tendency was observed in 28-day survival. Conclusion: This study demonstrated that tocilizumab treatment may positively contribute to the treatment by decreasing cytokine levels. PCT and LDH follow-up before and after treatment in critically ill patients who are receiving tocilizumab treatment can give an idea about survival.


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