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Record W3080462543 · doi:10.1016/j.jinf.2020.08.021

Serum cholinesterase associated with COVID-19 pneumonia severity and mortality

2020· letter· en· W3080462543 on OpenAlexaboutno aff
Kento Nakajima, Takeru Abe, Ryo Saji, Fumihiro Ogawa, Hayato Taniguchi, Keishi Yamaguchi, Kazuya Sakai, Tomoki Nakagawa, Reo Matsumura, Yasufumi Oi, Mototsugu Nishii, Ichiro Takeuchi

Bibliographic record

VenueJournal of Infection · 2020
Typeletter
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsnot available
FundersUniversité de Bourgogne
KeywordsMedicineInternal medicineGastroenterologySepsisPneumoniaCholinesteraseButyrylcholinesteraseAcetylcholinesteraseAchéEnzymeBiology

Abstract

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Kunutsor and Laukkanen have written to this journal regarding elevated admission levels of markers of liver injury (alanine aminotransferase and aspartate aminotransferase, gamma-glutamyltransferase, alkaline phosphatase and total bilirubin) may be associated with progression to severe disease or death in COVID-19.1Kunutsor S.K. Laukkanen J.A. Markers of liver injury and clinical outcomes in COVID-19 patients: a systematic review and meta-analysis.J Infect. 2020; (published online ahead of print, 2020 May 28) (S0163-4453(20)30325-X)Abstract Full Text Full Text PDF Scopus (27) Google Scholar On the other hand, serum cholinesterase plays an important role in the inflammatory response and may be associated with prognosis in sepsis.2Santarpia L. Grandone I. Contaldo F. Pasanisi F Butyrylcholinesterase as a prognostic marker: a review of the literature.J Cachexia Sarcopenia Muscle. 2013; 4: 31-39Crossref PubMed Scopus (190) Google Scholar, 3Zivkovic A.R. Decker S.O. Zirnstein A.C. Sigl A. Schmidt K. Weigand M.A. et al.A sustained reduction in serum cholinesterase enzyme activity predicts patient outcome following sepsis.Mediators Inflamm. 2018; 20181942193Crossref PubMed Scopus (31) Google Scholar, 4Zhao R. Zhang X. Wang H. Zhang R. Duan X. Liu S. et al.Value of serum cholinesterase in the prognosis of septic shock.Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020; 32: 44-49PubMed Google Scholar We focused on the similarities between severe COVID-19 pneumonia and sepsis. We examined associations between cholinesterase levels on admission and the severity, and mortality of patients with COVID-19 pneumonia, as well as the interaction between cholinesterase and the previously reported factors of severity and mortality. We included patients who had tested positive for severe acute respiratory syndrome coronavirus 2 from February to May 2020 at Yokohama City University Hospital and Yokohama City University Medical Center. Ultimately, 26 patients were included in the study. Outcomes were aggravation of symptoms and in-hospital death. The clinical characteristics of the patients grouped by severity are shown in Table 1. There was no significant difference in patient characteristics between the groups. Supplementary Materials 1 shows the time course of cholinesterase and other factors in critically ill patients with good outcome and death. In critically ill patients with favorable outcome, cholinesterase, lymphocytes, albumin, and PaO2/FiO2 ratio decreased but C-reactive protein increased toward the peak of inflammation. Later, C-reactive protein decreased with improvement in inflammation, but there was a tendency for cholinesterase, lymphocytes, albumin, and PaO2/FiO2 ratio to increase. In contrast, in the severely ill patient who died, C-reactive protein poorly decreased, and cholinesterase, lymphocytes, albumin, and PaO2/FiO2 ratio were not elevated.Table 1Clinical characteristics grouped by severity.Mild-to-moderate cases*The mild-to-moderate group was defined based on the need for oxygen inhalation or no oxygen inhalation. (n = 11)Severe cases⁎⁎The severe group was defined as having a respiratory condition requiring ventilator management (PaO2/FiO2 ratio <200 mmHg to respiratory rate >30/min). (n = 15)p-valueMedian (interquartile range)/frequency (%)Median (interquartile range)/frequency (%)Age70(49–75)69(61–77)0.878Male7(64)14(93)0.128Nationality – no. (%)Japan812United States12China01Canada10Republic of the Philippines10Past history – no. (%)Diabetes28Hypertension45Chronic kidney disease03Ischemiac heart disease02Asthma11Dyslipidemia10Anything22Oxygen-support therapy – no. (%)Oxygen support7(64)15(100)Mechanical ventilation013(87)Extracorporeal membrane oxygenation04(27)Treatment – no. (%)Antibaiotics8(73)15(100)Ciclesonide5(45)12(80)Lopinavir/Ritonavir3(27)11(73)Steroid3(27)3(20)Favipiravir1(9)5(33)Peramivir1(9)2(13)Remdesivir0(0)2(13)Nafamostat0(0)1(7)Median laboratory values (IQR)ChE (U/L)326(228–394)218(185–279)0.006CRP (mg/dL)2.23(1.04–4.28)14.63(7.04–18.00)<0.001WBC (/μL)7100(5200–9300)7100(5900–11,200)0.574Lymphocytes (%)16.9(7.6–22.3)7.0(5.8–10.8)0.047Alb (g/dL)3.8(3.4–4.1)3.1(2.7–3.3)0.001D-dimer (μg/dL)1.2(0.6–5.1)2.1(0.9–5.0)0.384AST (U/L)29(24–39)56(38–94)0.025ALT (U/L)20(16–56)30(18–46)0.467P/F ratio (mmHg)308(300–380)154(113–209)<0.001Death0(0)6(40)0.051 The mild-to-moderate group was defined based on the need for oxygen inhalation or no oxygen inhalation. The severe group was defined as having a respiratory condition requiring ventilator management (PaO2/FiO2 ratio <200 mmHg to respiratory rate >30/min). Open table in a new tab Fig. 1A and Supplementary Materials 2 show the association between severity and cholinesterase levels in COVID-19 patients. 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). The optimal cut-off value for cholinesterase on severe cases was 301 U/L using the ROC curve, sensitivity was 93.3, and specificity was 63.6. The area under the ROC curve (AUC) in this case was 0.81. The positive and negative likelihood ratios were 2.6 and 0.1, respectively. In addition, ROC curves of C-reactive protein, albumin, lymphocytes, D-dimer, and PaO2/FiO2 ratio were prepared, and their AUCs were determined to be 0.94, 0.87, 0.73, 0.61, and 0.94, respectively. Fig. 1B and Supplementary Materials 2 show the association between mortality and cholinesterase levels in COVID-19 patients. 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). The optimal cutoff value for cholinesterase on mortality was 190 U/L using the ROC curve, sensitivity was 66.7, and specificity was 95.0. The AUC in this case was 0.79. The positive and negative likelihood ratios were 12.7 and 0.4, respectively. ROC curves of C-reactive protein, albumin, lymphocytes, D-dimer, and PaO2/FiO2 ratio were prepared, and their AUCs were 0.84, 0.77, 0.66, 0.70 and 0.79, respectively. Supplementary Materials 3A and 3B show analyses of the interaction between cholinesterase and the previously established factors of severity and mortality. Our results demonstrate that the potential of cholinesterase levels and their interactions were significantly associated with severity and mortality in COVID-19 pneumonia patients. Cholinesterase is an enzyme produced in the liver that hydrolyzes cholinesters, and measured as a liver function test. Cholinesterase levels are high in patients with nephrotic syndrome, diabetes, hyperthyroidism, fatty liver, dyslipidemia, and obesity and low in patients with liver cirrhosis, hepatitis, malignant tumor, malnutrition, sepsis, and organophosphate poisoning.5Ramachandran J. Sajith K.G. Priya S. Dutta A.K. Balasubramanian K.A Serum cholinesterase is an excellent biomarker of cirrhosis.Trop Gastroenterol. 2014; 35: 15-20Crossref PubMed Scopus (49) Google Scholar Although the mechanism underlying cholinesterase reduction in sepsis has not yet been determined, it is thought to be affected by acute-phase infections and inflammatory processes.6Das U.N. Acetylcholinesterase and butyrylcholinesterase as possible markers of low-grade systemic inflammation.Med Sci Monit. 2007; 13: Ra214-Ra221PubMed Google Scholar It has been hypothesized that cholinesterase synthesis decreases owing to hepatic dysfunction with disease progression, capillary permeability enhancement, dilution with fluid challenges, cholinesterase catabolism enhancement, and cholinesterase inhibition by inflammatory mediators (cytokines).7Bahloul M. Baccouch N. Chtara K. Turki M. Turki O. Hamida C.B. et al.Value of serum cholinesterase activity in the diagnosis of septic shock due to bacterial infections.J Intensive Care Med. 2017; 32: 346-352Crossref PubMed Scopus (28) Google Scholar Levels of "positive" acute-phase proteins such as C-reactive protein, amyloid A, and ferritin generally increase in patients with inflammatory diseases. In contrast, levels of "negative" acute-phase proteins such as albumin, prealbumin, and transferrin decrease in response to inflammation and increase during the recovery period.2Santarpia L. Grandone I. Contaldo F. Pasanisi F Butyrylcholinesterase as a prognostic marker: a review of the literature.J Cachexia Sarcopenia Muscle. 2013; 4: 31-39Crossref PubMed Scopus (190) Google Scholar,8Soeters P.B. Schols A.M. Advances in understanding and assessing malnutrition.Curr Opin Clin Nutr Metab Care. 2009; 12: 487-494Crossref PubMed Scopus (101) Google Scholar Cholinesterase and lymphocytes behave similar to the "negative" acute-phase proteins in response to inflammation.9Camarero González E. Muñoz Leira V. Iglesias Guerrero M. Fernández Alvarez J.A. Cabezas-Cerrato J Protein-energy malnutrition: its effects on 4 metabolic parameters.Nutr Hosp. 1995; 10: 158-160PubMed Google Scholar,10Hubbard R.E. O'Mahony M.S. Calver B.L. Woodhouse K.W Plasma esterases and inflammation in ageing and frailty.Eur J Clin Pharmacol. 2008; 64: 895-900Crossref PubMed Scopus (113) Google Scholar Even in patients with COVID-19 pneumonia, amyloid A, which is classified as a "positive" acute-phase protein; albumin, which is classified as a "negative" acute-phase protein; and lymphocytes showing similar reactions as those of "negative" acute-phase proteins against inflammation have been suggested to be related to severity.4Zhao R. Zhang X. Wang H. Zhang R. Duan X. Liu S. et al.Value of serum cholinesterase in the prognosis of septic shock.Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020; 32: 44-49PubMed Google Scholar Our study suggests that cholinesterase, which responds similar to the "negative" acute-phase proteins in response to inflammation, is reduced even in the acute phase of severe COVID-19 pneumonia. Following the changes in cholinesterase over time, we found that it decreased with deterioration of the condition and increased with improvement. Cholinesterase level on admission is suggested to be an independent predictor of severity and mortality for COVID-19 pneumonia. Cholinesterase levels on admission were significantly lower in the severe group than in the mild-to-moderate group, and they were also significantly lower in the death group than in the survival group. Cholinesterase was comparable to other markers, such as C-reactive protein, PaO2/FiO2 ratio, albumin, lymphocytes, and D-dimer regarding associations with the severity and mortality of COVID-19 pneumonia. Limitations of this study include individual variances in cholinesterase, limited sample size, and potential bias owing to the confounding factors due to the retrospective nature of the study. Multiple factors may have been involved and multivariate analysis might have yielded more detailed results. Finally, owing to the limited number of facilities and regions, close attention should be paid to the generalization of the results. In conclusion, cholinesterase may reflect the disease state of COVID-19 pneumonia, suggesting that a patient's cholinesterase level on admission may be useful as one of predictors of severity and prognosis. It has potential to be used as an indicator of severity or death and for recommending therapeutic interventions including intensive care during early stages of the disease. None. We express our deep appreciation to all of the staff at Yokohama City University Hospital and Yokohama City University Medical Center. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.328
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations32
Published2020
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