Showing papers in "Biomarkers in Medicine in 2022"

Decreased circulating dipeptidyl peptidase-4 enzyme activity is prognostic for severe outcomes in COVID-19 inpatients

Abstract: Aim: To investigate the serum circulating DPP4 activity in patients with COVID-19 disease. Materials & methods: Serum samples from 102 hospitalized COVID-19 patients and 43 post-COVID-19 plasma donors and 39 SARS-CoV-2 naive controls and their medical data were used. Circulating DPP4 activities according to different COVID-19 disease peak severity (WHO) groups at sampling and at peak were assessed. Results: A significant decrease (p < 0.0001) in serum DPP4 activity was found in study groups of higher disease severity. When the circulating DPP4 activity was assessed as a prognostic marker, the logistic regression (p = 0.0023) indicated that the enzyme activity is a predictor of mortality (median 9.5 days before death) with receiver operating characteristic area under the curves of 73.33% (p[area = 0.5] < 0.0001) as single predictor and 83.45% (p[area = 0.5] < 0.0001) in combination with age among hospitalized patients with COVID-19. Conclusion: Decreased circulating DPP4 activity is associated with severe COVID-19 disease and is a strong prognostic biomarker of mortality.

Homocysteine as a marker for predicting disease severity in patients with COVID-19

Abstract: Aim: Our study was designed on the hypothesis that homocysteine levels are a prognostic parameter that can predict the severity of COVID-19 disease. Materials & methods: 117 COVID-19 patients and 34 non COVID-19 individuals were included in the study. Receiver operating characteristic (ROC) analysis was performed for homocysteine, D-dimer and monocyte/lymphocyte ratio (MLR) levels. Results: According to the ROC analysis, in COVID-19 patients group, Area under curve (AUC) values were 0.835 for homocysteine, 0.859 for D-dimer and 0.882 for MLR. According to the ROC analysis, in which homocysteine, MLR and D-dimer parameters were evaluated together, AUC values were 0.951 in the mild disease group, 1000 in severe disease group and 0.967 in COVID-19 patients group. Conclusion: It was concluded that homocysteine level is an important parameter in the follow-up of COVID-19 disease.

NCAPG is a prognostic biomarker of immune infiltration in non-small-cell lung cancer.

Abstract: Purpose: Non-small-cell lung cancer (NSCLC) is the leading cause of cancer-related deaths. The protein NCAPG plays a significant role in tumor development. Patients & methods: We set up a tissue microarray (containing 140 NSCLC and ten normal lung tissues) and performed immunohistochemistry to assess NCAPG expression in the tissues of 140 patients. The prognostic value of NCAPG in NSCLC was assessed using the univariate and multivariate Cox proportional hazards regression models and Kaplan-Meier plots. We analyzed the association between NCAPG and immune infiltration in NSCLC. Results: Multifactorial analysis and Kaplan-Meier plots revealed that upregulation of NCAPG expression was an independent factor in the prognosis of NSCLC. Data from CIBERSORT showed a negative correlation between NCAPG and the expression of memory CD4+ T cells, CD8+ T cells, dendritic cells, macrophages, mast cells and natural killer cells (p < 0.001). Gene set enrichment analysis revealed that cell cycle, adhesion and proliferation were significantly enriched in samples with a high NCAPG expression. Conclusion: NCAPG is a novel biomarker of prognosis and is associated with immune cell infiltration in the tumor microenvironment. Thus it may be a potential target in NSCLC treatment.

Prognostic value of serum albumin for long-term mortality in patients with dual-chamber permanent pacemakers.

Abstract: Background: This investigation aims to examine the prognostic utility of albumin concentrations for long-term all-cause mortality in patients undergoing permanent pacemaker implantation. Methods: A total of 1798 patients who received permanent pacemaker implantation were divided into quartiles according to serum albumin concentrations. The significance of albumin in predicting long-term mortality was compared in these quartiles. Results: There was a higher rate of long-term mortality in the Q4 group compared with the Q1-3 groups (49.9 vs 15.8%). The risk of long-term mortality in the Q4 group was 3.6-times higher compared with the Q1-3 groups after adjustment for confounders. Conclusion: Serum albumin level at the time of device implantation has great value when assessing long-term mortality in patients with permanent pacemakers.

Liquid biopsy: the value of different bodily fluids.

Abstract: Liquid biopsies have gained an increasing interest in the last years among medical and scientific communities. Indeed, the value of liquid effusions, while less invasive and more accurate techniques, has been markedly highlighted. Peripheral blood comprises the most often analyzed sample, but recent evidences have pointed out the huge importance of other bodily fluids, including pleural and peritoneal fluids, urine, saliva and cerebrospinal fluid in the detection and monitoring of different tumor types. In face to these advances, this review aims to provide an overview of the value of tumor-associated mutations, detectable in different effusions, and how they can be used in clinical practice, namely in prognosis assessment and early disease and minimal disease recurrence detection, and in predicting the treatment response or acquired-resistance development.

Novel biomarkers for acute respiratory distress syndrome: genetics, epigenetics and transcriptomics.

Abstract: Acute respiratory distress syndrome (ARDS) can be induced by multiple clinical factors, including sepsis, acute pancreatitis, trauma, intestinal ischemia/reperfusion and burns. However, these factors alone may poorly explain the risk and outcomes of ARDS. Emerging evidence suggests that genomic-based or transcriptomic-based biomarkers may hold the promise to establish predictive or prognostic stratification methods for ARDS, and also to help in developing novel therapeutic targets for ARDS. Notably, genetic/epigenetic variations correlated with susceptibility and prognosis of ARDS and circulating microRNAs have emerged as potential biomarkers for diagnosis or prognosis of ARDS. Although limited by sample size, ethnicity and phenotypic heterogeneity, ongoing genetic/transcriptomic research contributes to the characterization of novel biomarkers and ultimately helps to develop innovative therapeutics for ARDS patients.

Prognostic value of hemoglobin-to-red cell distribution width ratio in cancer: a systematic review and meta-analysis.

Abstract: Background: The hemoglobin-to-red cell distribution width ratio (HRR) has emerged as a novel integrative biomarker predictive of overall and disease-free survival in cancer patients. This study aimed to investigate the prognostic significance of HRR in the cancer population. Methods: A literature search was performed in PubMed/MEDLINE from inception to 1 July 2021, to collect studies assessing the prognostic value of HRR in cancer patients. The primary and secondary end points were all-cause mortality and occurrence of disease progression or relapse, respectively. A meta-analytic approach was employed to estimate the pooled hazard ratio with 95% CI by fitting random-effects models. Results: A total of 11 retrospective cohort studies representing 2985 cancer patients were included. Compared with patients with high HRR, patients with low HRR had a twofold risk of all-cause mortality (hazard ratio: 2.29; 95% CI: 1.76-2.98; p < 0.0001). There was substantial heterogeneity in the association of HRR with mortality across the studies (I2: 66.8%; 95% CI: 35.3-82.9%; p = 0.0014). Similarly, low HRR was associated with a twofold risk of disease progression or relapse (hazard ratio: 2.19; 95% CI: 1.74-2.76; p < 0.0001). No significant heterogeneity was observed (I2: 16.8%; 95% CI: 0.0-60.7%; p = 0.30). Conclusion: Low HRR was associated with mortality and disease progression or relapse in patients with cancer. Further studies are required to standardize the HRR cutoff value and investigate whether HRR can be incorporated into risk assessment models for predicting adverse prognosis in cancer patients.

Can the systemic immune-inflammation index be used as a novel diagnostic tool in the diagnosis of subacute thyroiditis?

Abstract: Aim: To evaluate systemic inflammatory parameters derived from hematological parameters in the diagnosis and prognosis of subacute thyroiditis (SAT). Methods: Demographic and laboratory data of 170 patients with SAT and 91 healthy control subjects were analysed retrospectively. The authors compared inflammatory parameters and thyroid function tests between SAT and control groups. Results: The erythrocyte sedimentation rate, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and systemic immune-inflammatory index (SII) were significantly higher in patients with SAT (p < 0.001). There was a significant positive correlation between the SII and erythrocyte sedimentation rate (r: 0.448; p < 0.001), CRP (r: 0.449; p < 0.01), neutrophil-to-lymphocyte ratio (r: 0.861; p < 0.001) and platelet-to-lymphocyte ratio (r: 0.782, p < 0.001). The thyroid stimulating hormone levels were higher in patients with recurrence when compared with those without recurrence (p = 0.007). Conclusions: As a practical biomarker, SII was significantly higher in patients with SAT compared with the control group. SII may be a new diagnostic tool for SAT.

Urinary tubular biomarkers as predictors of death in critically ill patients with COVID-19

Abstract: Aim: To evaluate the prediction capacity of urinary biomarkers for death in critically ill patients with COVID-19. Methods: This is a prospective study with critically ill patients due to COVID-19 infection. The urinary biomarkers NGAL, KIM-1, MCP-1 and nephrin were quantified on ICU admission. Results: There was 40% of death. Urinary nephrin and MCP-1 had no association with death. Tubular biomarkers (proteinuria, NGAL and KIM-1) were predictors of death and cutoff values of them for death were useful in stratify patients with worse prognosis. In a multivariate cox regression analysis, only NGAL remains associated with a two-mount survival chance. Conclusion: Kidney tubular biomarkers, mostly urinary NGAL, had useful capacity to predict death in critically ill COVID-19 patients.

Novel biomarker-based score (SAD-60) for predicting mortality in patients with COVID-19 pneumonia: a multicenter retrospective cohort of 1013 patients

Abstract: Background: The aim was to explore a novel risk score to predict mortality in hospitalized patients with COVID-19 pneumonia. Methods: This was a retrospective, multicenter study. Results: A total of 1013 patients with COVID-19 were included. The mean age was 60.5 ± 14.4 years, and 581 (57.4%) patients were male. In-hospital death occurred in 124 (12.2%) patients. Multivariate analysis revealed peripheral capillary oxygen saturation (SpO2), albumin, D-dimer and age as independent predictors. The mortality score model was given the acronym SAD-60, representing SpO2, Albumin, D-dimer, age ≥60 years. The SAD-60 score (0.776) had the highest area under the curve compared with CURB-65 (0.753), NEWS2 (0.686) and qSOFA (0.628) scores. Conclusion: The SAD-60 score has a promising predictive capacity for mortality in hospitalized patients with COVID-19.

Copeptin: a neuroendocrine biomarker of COVID-19 severity

Abstract: Aim: To investigate the change in a serum level of copeptin, a neuroendocrine biomarker, in differentiating grades of COVID-19 severity on admission time and to find its diagnostic potential. Materials & Methods: 160 COVID-19 patients were classified according to disease severity into 80 mild to moderate and 80 severe patients. Serum copeptin level was assessed by ELISA on their admission time. Besides, serum CRP, ferritin and D-dimer were estimated. Results: Severe COVID-19 patients showed higher serum copeptin level in comparison to mild to moderate cases, with diagnostic potential to distinguish disease severity with 93.33% sensitivity and 100% specificity at cut-off value >18.5 Pmol/l. Conclusion: Serum copeptin was remarkably increased with COVID-19 severity with reasonable differentiation potential for recently admitted patients.

Red blood cell distribution width as a prognostic biomarker for viral infections: prospects and challenges

Abstract: Viral diseases remain a significant global health threat, and therefore prioritization of limited healthcare resources is required to effectively manage dangerous viral disease outbreaks. In a pandemic of a newly emerged virus that is yet to be well understood, a noninvasive host-derived prognostic biomarker is invaluable for risk prediction. Red blood cell distribution width (RDW), an index of red blood cell size disorder (anisocytosis), is a potential predictive biomarker for severity of many diseases. In view of the need to prioritize resources during response to outbreaks, this review highlights the prospects and challenges of RDW as a prognostic biomarker for viral infections, with a focus on hepatitis and COVID-19, and provides an outlook to improve the prognostic performance of RDW for risk prediction in viral diseases.

Prognostic value of triglyceride/glucose index in patients with ST-segment elevation myocardial infarction.

Abstract: Aim: New parameters are emerging to predict prognosis in patients with ST-segment elevation myocardial infarction (STEMI). In this study we aimed to determine and compare the prognostic values of some metabolic indices in terms of predicting long-term mortality in patients with STEMI. Method: A total of 1900 nondiabetic patients who presented with STEMI and underwent percutaneous coronary intervention were included in the study. Multivariable Cox proportional regression analysis was used to determine and compare the predictive performance of triglyceride-glucose (TyG) index, triglyceride-high density lipoprotein ratio (Ty/HDL) and admission glucose. Results: In multivariable Cox regression analysis, the model based on TyG index had better predictive performance than the Ty/HDL and admission blood glucose. Conclusion: The TyG index is more informative than Ty/HDL and admission glucose level to predict long-term all-cause mortality.

Neutrophil to lymphocyte ratio in the prediction of coagulopathy in traumatic brain injury.

Abstract: Aim: Traumatic brain injury (TBI) is a public health issue of increasing incidence. Coagulopathy after TBI is a frequent event, associated with a poor prognosis, and biomarkers that could predict coagulopathy occurrence are needed. The neutrophil-to-lymphocyte ratio (NLR) is useful as a cost-effective biomarker to assess prognosis and the need for cranial computed tomography in patients with mild TBI. As no study has yet evaluated the association of NLR with coagulopathy, we investigated whether the NLR at presentation could predict coagulopathy occurrence after TBI. Materials & methods: A retrospective study was conducted of patients aged >18 years who attended the emergency department (ED) with TBI, over a 3-year period. We included all patients for whom the NLR at presentation was available, and who underwent a brain CT scan. Results: The study included 173 patients (mean age 57.4 ± 21.1 years) with TBI, the most frequent cause of which was a fall. According to the Glasgow Coma Scale, 37 patients had severe TBI, 19 moderate and 117 mild TBI and 40 patients (23.1%) developed coagulopathy. Their mean NLR was 7.5 ± 6.7. Using receiver operating characteristic curve analysis, a cut-off value of 4.2 for NLR had 87.5% sensitivity and 52.9% specificity for predicting coagulopathy occurrence. Conclusion: Coagulopathy occurs frequently after TBI. This study investigated the value of NLR as a biomarker to predict coagulopathy occurrence, and concluded that NLR might be a novel and inexpensive biomarker for decision making in the management of TBI. Combination of NLR with other low-cost biomarkers and the clinical findings might further increase accuracy in the prediction of coagulopathy.

The Synuclein-One study: skin biopsy detection of phosphorylated α-synuclein for diagnosis of synucleinopathies.

Abstract: Finding an easily accessible and reliable tool to diagnose the diseases collectively defined as 'synucleinopathies' is an urgent, unmet priority. The synucleinopathies include Parkinson's disease, multiple system atrophy, pure autonomic failure and dementia with Lewy bodies. There are millions of people who have a diagnosis of a synucleinopathy, with more diagnosed every year. With accessibility, ease of implementation, consistently high sensitivity (>80%) and specificity approaching 100%, skin biopsy has great potential as the clinical test of choice for the diagnosis of synucleinopathies. The large, multi-center Synuclein-One study will determine the sensitivity, specificity, accuracy and precision of α-synuclein detection within punch skin biopsies in patients with clinically established synucleinopathies using standardized, robust methods suitable for large-scale analysis. Clinical Trial Registration: NCT04700722 (ClinicalTrials.gov).

Association between LDL/HDL ratio and in-stent restenosis in patients with acute coronary syndrome after stent implantation.

Abstract: Background: The relationship between LDL/HDL ratio and in-stent restenosis in acute coronary syndrome is unknown. Methods: This observational study recruited 256 patients with acute coronary syndrome who were being followed up by angiography after stenting. The patients were divided into in-stent restenosis (59%) and non-in-stent restenosis (41%) groups. Three stepwise multivariate logistic regression models and area under the curve were conducted to determine the role of LDL/HDL ratio in predicting in-stent restenosis. Results: LDL/HDL ratio was significantly associated with risk of in-stent restenosis (odds ratio ≈ 2.00; p < 0.05 for all) in three models. A good predictive performance of LDL/HDL ratio on in-stent restenosis was found with an area under the curve of 0.74. Conclusion: LDL/HDL ratio was independently associated with the risk of in-stent restenosis in acute coronary syndrome.

Association of serum elabela levels with carotid artery stenosis in patients with non-cardioembolic ischemic stroke.

Abstract: Aim: Elabela (ELA) is a peptide of the apelinergic system and is known to play a role in endothelial homeostasis and vascular pathobiology. In this study, the relationship between carotid artery stenosis, which is the main culprit, and ELA level in patients with non-cardioembolic ischemic stroke was investigated. Materials & methods: Cross-sectional observation included two groups of 40 patients with critical carotid artery stenosis and 40 patients with age-sex matched noncritical carotid artery stenosis. Results: ELA levels were significantly higher in the noncritical stenosis group. ELA had a significantly moderate negative correlation with the carotid score (r = -0.334, p = 0.003), maximal carotid plaque length (r = -0.413, p < 0.001) and degree of stenosis (r = -0.397, p < 0.001). Conclusions: There is a significant inverse correlation between critical carotid artery disease and ELA level in patients with non-cardioembolic ischemic stroke.

Novel marker for predicting the severity and prognosis of acute pulmonary embolism: platelet-to-hemoglobin ratio.

Abstract: Background: We investigated the ability of the platelet-to-hemoglobin ratio (PHR) to predict mortality and disease severity in patients with acute pulmonary embolism (APE). Materials & methods: The severity of APE was classified as massive (high risk), submassive (intermediate risk) or nonmassive (low risk). PHR is defined as platelet count/hemoglobin count. Results: PHR was significantly higher in patients with massive APE, and this elevation showed a gradual increase from the nonmassive group to the massive group (p < 0.001). In-hospital and 1-month mortality were higher in patients with high PHR values. PHR was an independent risk factor for the development of massive APE (odds ratio: 1.014; 95% CI: 1.011-1.017; p = 0.009). Conclusion: PHR values predicted massive APE and were an independent predictor of mortality in APE.

Organ function biomarker abnormalities, associated factors and disease outcome among hospitalized patients with COVID-19

Abstract: Background: The aim of this study was to determine the magnitude of abnormal organ function tests and biomarkers in hospitalized patients with confirmed COVID-19 and to define the association among markers of organ failure, disease severity and its outcome in hospitalized COVID-19 patients in Ethiopia. Methods: A prospective cohort study was conducted among COVID-19 patients admitted to Millennium COVID-19 Treatment Center from December 2020 to June 2021. Results: The median age of the 440 study participants was 60.3 ± 1.3 years, and from these 71.3% of patients were male. Disease severity: p-value: 0.032; adjusted odds ratio (AOR) (95% CI): 4.4 (0.022–0.085); and the presence of any co-morbidity; p-value: 0.012; AOR (95% CI): 0.80 (0.47–0.83) was significantly associated with mortality. Aspartate transaminase, alanine transaminase and alkaline phosphatase parameter values of patients overall, were elevated – mainly among critical patients (56.9 ± 57.7, 58.5 ± 63 and 114.6 ± 60, respectively).

Usefulness of systemic immune-inflammation index in predicting atrial fibrillation recurrence after direct current cardioversion.

Abstract: Background: We aimed to determine whether there is a relationship between the systemic immune-inflammation (SII) index and the recurrence of atrial fibrillation (AF) after successful direct current cardioversion (DCCV). Methods: The study included 99 patients with persistent AF who underwent successful cardioversion between 2015 and 2020. Results: In multiple regression analyses, the SII index was found to be a better independent predictor of AF recurrence after successful DCCV (p < 0.001). The cut-off value of SII (563) was associated with 96.9% sensitivity and 55.2% specificity to predict AF recurrence after DCCV. Conclusion: As a simple biomarker, SII index is an independent parameter for predicting AF recurrence after successful DCCV in patients with persistent AF. Also, SII levels can predict AF recurrence better than neutrophil-to-lymphocyte ratio.

Copy number alteration signatures as biomarkers in cancer: a review.

Abstract: Within certain cancers, extensive copy number alterations (CNAs) contribute to a complex and heterogenic genomic profile. This makes it difficult to understand and unravel the distinct molecular dynamics shaping the disease while preventing clinically effective patient stratification. CNA signature analysis represents a novel genomic stratification tool for probing this complexity, offering an intricate framework for deriving CNA patterns at the molecular level. This allows the underlying genomic mechanisms of specific cancers to be revealed, leading to the potential identification of therapeutic targets and prognostic associations. This review outlines the molecular and methodological basis of CNA signatures and focuses on recent advances highlighting their clinical utility, limitations and prospective future as novel diagnostic and prognostic cancer biomarkers.

Cell-free DNA as a solid-organ transplant biomarker: technologies and approaches

Abstract: High-quality biomarkers that detect emergent graft damage and/or rejection after solid-organ transplantation offer new opportunities to improve post-transplant monitoring, allow early therapeutic intervention and facilitate personalized patient management. Donor-derived cell-free DNA (DD-cfDNA) is a particularly exciting minimally invasive biomarker because it has the potential to be quantitative, time-sensitive and cost-effective. Increased DD-cfDNA has been associated with graft damage and rejection episodes. Efforts are underway to further improve sensitivity and specificity. This review summarizes the procedures used to process and detect DD-cfDNA, measurement of DD-cfDNA in clinical transplantation, approaches for improving sensitivity and specificity and long-term prospects as a transplant biomarker to supplement traditional organ monitoring and invasive biopsies.

Imaging biomarkers for diagnosis and treatment response in patients with lymphedema.

Abstract: Lymphedema is defined as a dysfunction of the lymphatic system producing an accumulation of lymphatic fluid in the surrounding tissue, as well as edema and fibrosis. A total of 250 million people worldwide are affected by this condition. Greater than 99% of these cases are related to a secondary cause. As there is a lack of curative therapy, the goal involves early diagnosis, in order to prevent the progression of the disease. Additionally, early diagnosis can aid in decreasing the demand for more complex surgical procedures. Currently, there is an impressive breadth of diagnostic tests available for these patients. We aimed to review the available literature in relation to the utilization of imaging biomarkers for the early diagnosis and treatment response in lymphedema.

Role of miRNA polymorphism in recurrent pregnancy loss: a systematic review and meta-analysis.

Abstract: There are a plethora of publications on the role of miRNA gene polymorphism and its association with recurrent pregnancy loss (RPL), but a lack of uniformity in the studies available due to the variable subject population, heterogeneity and contrary results of significance. Rigorous data mining was done through PubMed, SCOPUS, Cochrane library, Elsevier and Google Scholar to extract the studies of interest published until June 2021. A total of eight SNPs of miRNAs have been included, where ≥2 studies per SNPs were available. Analysis was done on the basis of pooled odds ratios and 95% CI. This is the first meta-analysis on miRNA SNPs in RPL that suggests that rs11614913, rs3746444 and rs2292832 biomarkers may decrease the risk of RPL under different genetic models.

Validation of a gene expression signature to measure immune quiescence in kidney transplant recipients in the CLIA setting.

Abstract: Aim: Allograft rejection remains a major cause of graft failure in kidney transplantation. Here the authors report the validation of a non-invasive molecular diagnostic assay, AlloMap Kidney, using peripheral blood. Methods: The AlloMap Kidney test is a gene expression profile utilizing the RNA-seq platform to measure immune quiescence in kidney transplant patients. Results/Conclusions: Analytical validation showed robust performance characteristics with an accuracy correlation coefficient of 0.997 and a precision coefficient of variation of 0.049 across testing. Clinical validation from the prospective, multi-center studies of 235 samples (66 rejection and 169 quiescence specimens) demonstrated the sensitivity of 70% and specificity of 66% for allograft rejection, while the negative predictive value was 95% to discriminate rejection from quiescence at 10% prevalence of rejection.

Examining variation and temporal dynamics of extracellular matrix biomarkers following acute myocardial infarction.

Abstract: Aim: This study investigated an optimal extracellular matrix (ECM) biomarker panel for measurement in acute myocardial infarction (AMI). Materials & methods: Blood samples were collected from 12 healthy volunteers, and from 23 patients during hospital admission (day 1-3) and 6 months following AMI. Protein assays measured: FGFb, MMP-2, -3, -8, -9, osteopontin, periostin, PINP, TGF-β1, TIMP-1, -4 and VEGF. Results: When compared with healthy levels, seven ECM biomarkers were significantly altered in AMI patients, and six of these biomarkers displayed stable expression during hospital admission. Clinical characteristics and baseline cardiac function were not well correlated with ECM biomarkers. Conclusion: We suggest, MMP-2, MMP-3, MMP-8, MMP-9, periostin, PINP and TIMP-1 may be useful ECM biomarkers for future studies in AMI patients.

Soluble urokinase plasminogen activator receptor levels are predictive of COVID-19 severity in Afro-Caribbean patients

Abstract: Aim: To investigate association between soluble urokinase plasminogen activator receptor (suPAR) plasma levels at admission and incidence of complications in COVID-19 patients. Patients & methods: We considered Afro-Caribbean patients (n = 64) admitted to the hospital between 1 February 2020 and 28 February 2021. Primary outcome was time from the hospital admission until intensive care unit care or death. Results: Primary outcome (hazard ratio, HR [95%CI]) was associated with higher CT scan severity score (3.18 [1.15-8.78], p = 0.025), National Early Warning Score (NEWS2; 1.43 [1.02-2.02], p = 0.041) and suPAR (1.28 [1.06-2.06], p = 0.041). Kaplan-Meier analysis indicated patients with suPAR level above 8.95 ng/ml had a worse outcome (7.95 [3.33-18.97], p < 0.001). Conclusion: Our study suggests that COVID-19 patients with increased baseline suPAR levels are at a high risk of complications.Plain language summary Our aim was to investigate association between the plasma levels of soluble urokinase plasminogen activator receptor (suPAR) at admission and incidence of complications in COVID-19 patients. Increased suPAR level has been previously associated with activation of inflammation and coagulation, which important features of COVID-19. We considered Afro-Caribbean patients admitted to the hospital between 1 February 2020 and 28 February 2021. Primary outcome was time from the hospital admission until intensive care unit care or death. The use of an integrative prediction tool which combines simple clinical score (NEWS2), imaging technique (chest CT severity score) and suPAR plasma levels has potent predictive value for COVID-19 outcome.

Association between D-dimer levels and post-acute sequelae of SARS-CoV-2 in patients from a tertiary care center.

Abstract: Background: Post-acute sequelae of SARS-CoV-2 (PASC) is becoming an important concern in SARS-CoV-infected people. The pathophysiology behind PASC is unknown, and much study should be carried out to check the D-dimer levels in the PASC population. Methodology: In COVID-19 patients, the D-dimer level was checked during admission and discharge, and a follow-up study was carried out after 3 and 6 months of discharge. The results were compared with the appropriate statistical tests. Results: Patients had a high D-dimer value than the normal range, and the elevated D-dimer value continued to increase up to 6 months. Conclusion: Persistence of PASC has a direct correlation with increased D-dimer values. D-dimer can be used as biomarker in PASC patients.

Accuracy of cytokeratin 19 fragment in the diagnosis of bladder cancer.

Abstract: Aim: CYFRA21-1 is a biomarker of cancer and has a promising future in the diagnosis of bladder cancer. The purpose of this study was to assess the diagnostic accuracy of CYFRA21-1 for bladder cancer. Methods: We included articles from the Cochrane Library, Web of Science, PubMed and Embase. Meta-DiSc 1.4 and Stata 12.0 were used for data analysis. Results: Twenty-eight articles were analyzed, and the results are as follows: sensitivity, specificity, PLR, NLR, DOR and AUC were 0.69 (95% CI [0.67, 0.71]), 0.81 (95% CI [0.80, 0.83]), 5.99 (95% CI [4.42, 8.11]), 0.31 (95% CI [0.25, 0.38]), 24.58 (95% CI [15.15, 39.89]) and 0.8917, respectively. Conclusion: CYFRA21-1 has a high diagnostic efficiency for bladder cancer.

Prognostic value of STC1 in solid tumors: a meta-analysis.

Abstract: Aim: The prognostic value of STC1 has been evaluated in solid tumors. However, the results remain controversial. Materials & methods: Relevant studies published up to 27 February 2021 were identified by a comprehensive search of the PubMed, EMBASE and Web of Science databases. Hazard ratios (HRs) and odds ratios with 95% CIs were applied to explore the association between STC1 and survival outcome and clinical characteristics. Results: Sixteen articles involving 2942 participants were included in this meta-analysis. The pooled analysis showed that high STC1 expression was significantly associated with worse overall survival (HR: 1.91; 95% CI: 1.63-2.24) and disease-free survival/progression-free survival/relapse-free survival (HR: 2.01; 95% CI: 1.34-3.02). Conclusion: STC1 may be an effective prognostic marker in solid tumors.