scholarly journals The prognostic utility of protein C as a biomarker for adult sepsis: a systematic review and meta-analysis

Critical Care ◽  
2022 ◽  
Vol 26 (1) ◽  
Author(s):  
Vanessa Catenacci ◽  
Fatima Sheikh ◽  
Kush Patel ◽  
Alison E. Fox-Robichaud

Abstract Background Sepsis, the dysregulated host response to infection, triggers abnormal pro-coagulant and pro-inflammatory host responses. Limitations in early disease intervention highlight the need for effective diagnostic and prognostic biomarkers. Protein C’s role as an anticoagulant and anti-inflammatory molecule makes it an appealing target for sepsis biomarker studies. This meta-analysis aims to assess the diagnostic and prognostic value of protein C (PC) as a biomarker for adult sepsis. Methods We searched MEDLINE, PubMed, EMBASE, CINAHL and Cochrane Library from database inception to September 12, 2021. We included prospective observational studies of (1) adult patients (> 17) with sepsis or suspicion of sepsis that; (2) measured PC levels with 24 h of study admission with; and (3) the goal of examining PC as a diagnostic or prognostic biomarker. Two authors screened articles and conducted risk of bias (RoB) assessment, using the Quality in Prognosis Studies (QUIPS) and the Quality Assessment in Diagnostic Studies-2 (QUADAS-2) tools. If sufficient data were available, meta-analysis was conducted to estimate the standardized mean difference (SMD) between patient populations. Results Twelve studies were included, and 8 were synthesized for meta-analysis. Pooled analysis demonstrated moderate certainty of evidence that PC levels were less reduced in sepsis survivors compared to non-survivors (6 studies, 741 patients, SMD = 0.52, 95% CI 0.24–0.81, p = 0.0003, I2 = 55%), and low certainty of evidence that PC levels were less reduced in septic patients without disseminated intravascular coagulation (DIC) compared to those with DIC (3 studies, 644 patients, SMD = 0.97, 95% CI 0.62–1.32, p < 0.00001, I2 = 67%). PC could not be evaluated as a diagnostic tool due to heterogeneous control populations between studies. Conclusion and relevance Our review demonstrates that PC levels were significantly higher in sepsis survivors compared to non-survivors and patients with sepsis but not disseminated intravascular coagulation (DIC). Our evaluation is limited by high RoB in included studies and poor reporting of the sensitivity and specificity of PC as a sepsis biomarker. Future studies are needed to determine the sensitivity and specificity of PC to identify its clinical significance as a biomarker for early sepsis recognition. Trial Registration PROSPERO registration number: CRD42021229786. The study protocol was published in BMJ Open.

2020 ◽  
Author(s):  
Xianghui Zhou ◽  
Zhipeng Cheng ◽  
Lili Luo ◽  
Ying Zhu ◽  
Wenyi Lin ◽  
...  

Abstract Background: Coronavirus disease 2019 (COVID-19) is a novel infectious disease, with significant morbidity and mortality. This meta-analysis is to evaluate the prevalence of disseminated intravascular coagulation (DIC) in COVID-19 patients and to determine the association of DIC with the severity and prognosis of COVID-19.Methods: We searched the PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI) database until August 12, 2020. The meta-analysis was performed using Stata 16.0 software.Results: 15 studies were included in our meta-analysis. The pooled analysis revealed that the incidence of COVID-19 patients developing DIC was 4% (95%: 2%-5%, P<0.001). In addition, DIC was more likely to occur in the death group (Log OR = 2.4, 95% CI: 1.58-3.21, P<0.001) with statistical significance.Conclusions: DIC is associated with the severity and poor prognosis of COVID-19 patients. Therefore, attention should be paid to coagulation dysfunction in COVID-19 patients. Monitoring of coagulation indicators may improve the prognosis of COVID-19 inpatients.


2012 ◽  
Vol 87 (2) ◽  
pp. 230-232 ◽  
Author(s):  
Alessandra Malato ◽  
Giorgia Saccullo ◽  
Lucio Lo Coco ◽  
Clementina Caracciolo ◽  
Simona Raso ◽  
...  

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Dong-Lan Tang ◽  
Xiao Chen ◽  
Chang-Guo Zhu ◽  
Zhong-wei Li ◽  
Yong Xia ◽  
...  

Abstract Background The present meta-analysis examined the diagnostic accuracy of T2 Candida for candidiasis. Methods The literature databases, such as PubMed, Embase, DVIO, Cochrane library, Web of Science, and CNKI, were searched on T2 Candida detection. Results A total of 8 articles, comprising of 2717 research subjects, were included in the study. The pooled sensitivity and specificity were 0.91 (95% confidence interval (CI): 0.88–0.94) and 0.94 95% CI: 0.93–0.95), respectively. The pooled positive likelihood ratio and negative likelihood ratio was 10.16 (95% CI: 2.75–37.50) and 0.08 (95% CI: 0.02–0.35), respectively. The combined diagnostic odds ratio is 133.65 95% CI: 17.21–1037.73), and the AUC of SROC is 0.9702 [(SE = 0.0235), Q* = 0.9201(SE = 0.0381)]. Conclusions The current evidence supported that T2 Candida has high accuracy and sensitivity and is of major clinical significance in the diagnosis of Candida infection.


2014 ◽  
Vol 21 (6) ◽  
pp. 614-622
Author(s):  
Toshihiro Sakurai ◽  
Shu Yamada ◽  
Maki Kitada ◽  
Satoshi Hashimoto ◽  
Shoko Hashimoto ◽  
...  

2018 ◽  
Vol 171 ◽  
pp. 136-142 ◽  
Author(s):  
Tomoaki Yatabe ◽  
Shigeaki Inoue ◽  
So Sakamoto ◽  
Yuka Sumi ◽  
Osamu Nishida ◽  
...  

2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
S Ganesananthan ◽  
S Ganesananthan ◽  
B S Simpson ◽  
J M Norris

Abstract Aim Detection of suspected bladder cancer at diagnostic cystoscopy is challenging and is dependent on clinician skill. Artificial Intelligence (AI) algorithms, specifically, machine learning and deep learning, have shown promise in accurate classification of pathological images in various specialties. However, utility of AI for urothelial cancer diagnosis is unknown. Here, we aimed to systematically review the extant literature in this field and quantitively summarise the role of these algorithms in bladder cancer detection. Method The EMBASE, PubMed and CENTRAL databases were searched up to December 22nd 2020 , in accordance with the PRISMA guidelines, for studies that evaluated AI algorithms for cystoscopic diagnosis of bladder cancer. Random-effects meta-analysis was performed to summarise eligible studies. Risk of Bias was assessed using the QUADAS-2 tool. Results Five from 6715 studies met criteria for inclusion. Pooled sensitivity and specificity values were 0.93 (95% CI 0.89–0.95) and 0.93 (95% CI 0.80–0.89) respectively. Pooled positive likelihood and negative likelihood ratios were 14 (95% CI 4.3–44) and 0.08 (95% CI: 0.05–0.11), respectively. Pooled diagnostic odds ratio was 182 (95% CI 61–546). Summary AUC curve value was 0.95 (95% CI 0.93–0.97). No significant publication bias was noted. Conclusions In summary, AI algorithms performed very well in detection of bladder cancer in this pooled analysis, with high sensitivity and specificity values. However, as with other clinical AI usage, further external validation through deployment in real clinical situations is essential to assess true applicability of this novel technology.


PEDIATRICS ◽  
1986 ◽  
Vol 77 (5) ◽  
pp. 670-676
Author(s):  
Patrick Yuen ◽  
Alfred Cheung ◽  
Hsiang Ju Lin ◽  
Faith Ho ◽  
Jun Mimuro ◽  
...  

Severe and recurrent purpura fulminans developed in a Chinese boy at one day of age. Results of coagulation studies performed on the patient during attacks were compatible with the diagnosis of disseminated intravascular coagulation. Subsequent investigations have revealed that the patient is homozygous and that his parents are heterozygous for protein C deficiency. Cryoprecipitate and fresh frozen plasma induced a remission, and administration of warfarin has been successful in preventing recurrence of attacks for as long as 8 months without infusion of any plasma components. None of the family members who are heterozygous for protein C deficiency have had thrombotic episodes.


2019 ◽  
Vol 25 ◽  
pp. 107602961985216 ◽  
Author(s):  
Amanda Walborn ◽  
Matthew Rondina ◽  
Michael Mosier ◽  
Jawed Fareed ◽  
Debra Hoppensteadt

The role of the endothelium in sepsis-associated disseminated intravascular coagulation (DIC) is multifaceted and may contribute substantially to disease severity and outcome. The purpose of this study was to quantify measures of endothelial function, including markers of activation (endocan, Angiopoietin-2 [Ang-2], and von Willebrand Factor), endogenous anticoagulants (tissue factor pathway inhibitor and protein C), and damage-associated factors (High Mobility Group Box 1 [HMGB-1]) in the plasma of patients with sepsis and DIC, and to determine the relationship of these factors with severity of illness and outcome. Plasma samples were collected from 103 adult patients with sepsis within 48 hours of intensive care unit admission. Biomarker levels were measured using commercially available, standardized methods. Disseminated intravascular coagulation was diagnosed according to the International Society of Thrombosis and Hemostasis scoring algorithm. Twenty-eight-day mortality was used as the primary end point. In this study, endothelial damage and dysfunction were associated with the severity of coagulopathy and mortality in DIC patients. Loss of the endogenous anticoagulant protein C and elevation in the vascular regulator Ang-2 were associated with the development of overt DIC. In addition to Ang-2 and protein C, endocan, a biomarker of endothelial activation, and HMGB-1, a mediator of endothelial damage and activation, were significantly associated with mortality. This underscores the contribution of the endothelium to the pathogenesis of sepsis-associated DIC.


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