scholarly journals The Fibrinogen to Mean Platelet Volume Ratio Can Predict Overall Survival of Patients with Non-Metastatic Gastric Cancer

2018 ◽  
Vol 18 (4) ◽  
pp. 368 ◽  
Author(s):  
Shubin Song ◽  
Xiliang Cong ◽  
Fengke Li ◽  
Yingwei Xue
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Mean Platelet Volume ◽  
Volume Ratio ◽  
Metastatic Gastric Cancer ◽  
Platelet Volume

scholarly journals Serum Inflammatory Biomarkers in the Diagnosis of Periprosthetic Joint Infections

Biomedicines ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1128
Author(s):  
Irene K. Sigmund ◽  
Stephan E. Puchner ◽  
Reinhard Windhager
Keyword(s):  
Platelet Count ◽  
Mean Platelet Volume ◽  
Preoperative Diagnosis ◽  
Clinical Symptoms ◽  
Volume Ratio ◽  
Diagnostic Value ◽  
Inflammatory Biomarkers ◽  
Platelet Volume ◽  
Joint Infections ◽  
D Dimer

Accurate preoperative diagnosis of periprosthetic joint infections (PJIs) can be very challenging, especially in patients with chronic PJI caused by low-virulence microorganisms. Serum parameters, such as serum C-reactive protein (CRP) or the erythrocyte sedimentation rate (ESR), are—among other diagnostic test methods—widely used to distinguish septic from aseptic failure after total hip or knee arthroplasty and are recommended by the AAOS in the preoperative setting. However, they are systemic parameters, and therefore, unspecific. Nevertheless, they may be the first and occasionally the only preoperative indication, especially when clinical symptoms are lacking. They are easy to obtain, cheap, and are available worldwide. In the last decade, different novel serum biomarkers (percentage of neutrophils, neutrophils to lymphocytes ratio, platelet count to mean platelet volume ratio, fibrinogen, D-Dimer, Il-6, PCT) were investigated to find a more specific and accurate serum parameter in the diagnosis of PJI. This article reviews the diagnostic value of established (serum CRP, ESR, WBC) and ‘novel’ serum inflammatory biomarkers (fibrinogen, D-dimer, interleukin-6 (IL-6), procalcitonin, percentage of neutrophils (%N), neutrophils to lymphocytes ratio (NLR), platelet count to mean platelet volume ratio (PC/mPV)) for the preoperative diagnosis of periprosthetic joint infections.

scholarly journals The White Blood Cell Count to Mean Platelet Volume Ratio for the Prediction of Chronic Limb-Threatening Ischemia in Lower Extremity Artery Disease

2019 ◽  
Vol 8 (10) ◽  
pp. 1593 ◽  
Author(s):  
Guetl ◽  
Raggam ◽  
Muster ◽  
Gressenberger ◽  
Vujic ◽  
...  
Keyword(s):  
Lower Extremity ◽  
Blood Cell ◽  
Cell Count ◽  
Mean Platelet Volume ◽  
Multivariate Regression ◽  
Volume Ratio ◽  
Blood Cell Count ◽  
Platelet Volume ◽  
Artery Disease ◽  
Lower Extremity Artery Disease

: Background: The white blood cell count to mean platelet volume ratio (WMR) is increasingly gaining importance as a promising prognostic marker in atherosclerotic disease, but data on lower extremity artery disease (LEAD) are not yet available. The principle aim of this study was to assess the association of the WMR with the occurrence of CLTI (chronic limb-threatening ischemia) as the most advanced stage of disease. Methods: This study was performed as a retrospective analysis on 2121 patients with a diagnosis of LEAD. Patients were admitted to the hospital for the reason of LEAD and received conservative or endovascular treatment. Blood sampling, in order to obtain the required values for this analysis, was implemented at admission. Statistical analysis was conducted by univariate regression in a first step and, in case of significance, by multivariate regression additionally. Results: Multivariate regression revealed an increased WMR (p < 0.001, OR (95%CI) 2.258 (1.460–3.492)), but also advanced age (p < 0.001, OR (95%CI) 1.050 (1.040–1.061)), increased CRP (p < 0.001, OR (95%CI) 1.010 (1.007–1.014)), and diabetes (p < 0.001, OR (95%CI) 2.386 (1.933–2.946)) as independent predictors for CLTI. Conclusions: The WMR presents an easily obtainable and cost-effective parameter to identify LEAD patients at high risk for CLTI.

scholarly journals Prognostic and clinicopathological significance of pretreatment mean platelet volume in cancer: a meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037614
Author(s):  
Xin Chen ◽  
Jing Li ◽  
Xunlei Zhang ◽  
Yushan Liu ◽  
Jindong Wu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Mean Platelet Volume ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Clinicopathological Parameters ◽  
Platelet Volume ◽  
Poor Overall Survival ◽  
Patients With Cancer ◽  
Clinicopathological Significance

ObjectiveOur study aimed to evaluate the prognostic and clinicopathological significance of pretreatment mean platelet volume (MPV) on cancer by using meta-analysis of published studies.DesignMeta-analysis.Data sourcesRelevant studies available before 22 December 2019 were identified by searching MEDLINE, EMBASE.Eligibility criteriaAll published studies that assessed the prognostic and clinicopathological significance of pretreatment MPV on cancer were included.Data extraction and synthesisStudies were identified and extracted by two reviewers independently. The HR/OR and its 95% CIs of survival outcomes and clinicopathological parameters were calculated.ResultsA total of 38 eligible studies (41 subsets) with 9894 patients with cancer were included in the final meta-analysis. MPV level was not significantly associated with both overall survival (HR 0.98, 95% CI 0.84 to 1.14) and disease-free survival (HR 1.22, 95% CI 0.86 to 1.73) of patients with cancer. Neither advanced nor mixed-stage tumour patients showed significant association between MPV and overall survival (HR 1.36, 95% CI 0.96 to 1.94, HR 0.90, 95% CI 0.74 to 1.09). However, high MPV had the strongest relationship with poor overall survival (HR 2.01; 95% CI 1.08 to 3.41) in gastric cancer, followed by pancreatic cancer (HR 1.54; 95% CI 1.31 to 1.82). Whereas in the subgroup using receiver operating characteristic curve method to define cut-off values, low MPV was significantly related to poor overall survival (HR 0.78, 95% CI 0.64 to 0.95). In addition, MPV had no significant association with age (OR 0.96, 95% CI 0.90 to 1.02), sex (OR 1.04, 95% CI 1.00 to 1.09), depth of cancer invasion (OR 0.90, 95% CI 0.77 to 1.04) and tumour stage (OR 0.91, 95% CI 0.78 to 1.07).ConclusionsPretreatment MPV level is of no clearly prognostic significance in cancers and no significant association with clinicopathological parameters of patients with cancers.

scholarly journals Relationship between White Blood Count to Mean Platelet Volume Ratio and Clinical Outcomes and Severity of Coronary Artery Disease in Patients Undergoing Primary Percutaneous Coronary Intervention

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Altekin Refik Emre ◽  
Kilinc Ali Yasar ◽  
Yanikoglu Atakan ◽  
Cicekcibasi Orhan ◽  
Kucuk Murathan
Keyword(s):  
Percutaneous Coronary Intervention ◽  
Primary Percutaneous Coronary Intervention ◽  
Mean Platelet Volume ◽  
Cardiac Death ◽  
Volume Ratio ◽  
Coronary Intervention ◽  
White Blood Count ◽  
Platelet Volume ◽  
Percutaneous Coronary

Background. The white blood cell count to mean platelet volume ratio (WMR) is an indicator of inflammation in patients with atherosclerotic disease. Residual SYNTAX Score (RSS) is an objective measure of degree and complexity of residual stenosis after percutaneous coronary intervention (PCI). We investigated the relationship between WMR and clinical prognosis and RSS in patients undergoing primary percutaneous coronary intervention (P-PCI). Method. Between June 2015 and December 2018, 537 patients who underwent primary PCI were evaluated for in-hospital events, and 477 patients were evaluated for clinical events during follow-up after discharge. The endpoint of our study is major adverse cardiac events (MACEs) seen in the in-hospital and follow-up periods. Results. In our study, 537 patients were stratified into two groups according to admission median WMR. There were 268 patients in the low WMR group (WMR<1286) and 269 patients in the high WMR group (WMR≥1286). RSS (p=0.01) value of the high WMR group was higher than that of the low WMR group. The rates of in-hospital MACE (p=0.001), cardiac death (p<0.001), decompansated heart failure (0.007), and ventricular tachycardia/fibrillation (p=0.003) were higher in the high WMR group than in the low WMR group. The follow-up MACEs (p=0.043), cardiac death (p=0.026), and reinfarction (p=0.031) ratio were higher in the high WMR group. In ROC analysis, cut-off values of in-hospital and follow-up MACEs were >1064 (sensitivity: 83.12%, and specificity: 36.29%) and >1130 (sensitivity: 69.15%, and specificity: 44.91%), respectively. The Kaplan-Meier analysis showed that the high WMR group had the significantly lowest MACE-free survival rate (log-rank test, p=0.006). A moderate correlation was observed between WMR and RSS (r: 456, p=0.002). Conclusion. A higher WMR value on admission was associated with worse outcomes in patients with P-PCI and independently predicted for follow-up MACEs. The WMR provides both a rapid and an easily obtainable parameter to identify reliably high-risk patients who underwent primary percutaneous coronary intervention due to STEMI.

The prognostic value of systemic inflammatory factors in patient with metastatic gastric cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15505-e15505 ◽  
Author(s):  
Georgy M. Manikhas ◽  
Natalia P. Beliak ◽  
Svetlana I. Kutukova ◽  
Natalia V. Zhukova ◽  
Natalia V. Popova ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Inflammatory Markers ◽  
Prognostic Biomarker ◽  
Metastatic Gastric Cancer ◽  
Neutrophil To Lymphocyte Ratio ◽  
C Reactive Protein ◽  
Platelet To Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Reactive Protein

e15505 Background: Inflammation seems to be significant factor in carcinogenesis and tumor progression of numerous cancers. Blood calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), lactate dehydrogenase (LDH), international normalized ratio (INR) can be evaluated as systemic inflammation markers and prognostic biomarker for many aims: survival outcomes, lymph node metastasis and recurrence, treatment responses in a variety of cancers. The purpose of this study was to investigate baseline associations between blood test parameters (NLR, PLR, LDH, CRP, INR) and their prognostic biomarker role for patient with metastatic gastric cancer, undergoing first-line chemotherapy Methods: Potential baseline inflammatory markers (platelets, neutrophils, lymphocytes, the platelet-lymphocyte ratio, the neutrophil-lymphocyte ratio, the serum C-reactive protein [CRP], the serum LDH, INR) were retrospectively analyzed in 32 patients with metastatic gastric cancer, IV stage (median of age – 60,50). Multivariate analyses were used to identify prognostic factors for overall survival (OS). Baseline values were compared with tumor characteristic and median survival times (MSTs). Results: Multivariate analysis identified due to Cox proportional-hazards regression showed significant longest OS in patients with: localization of primary tumor in antral part of gastric (HR 0,45, 95% CI 0,25-0,80, p = 0,0065); low baseline’s level of WBC (HR 1,17, 95% CI 1.02 - 1,35, p = 0,0219); low baseline’s level of neutrophil (HR 1,18, 95% CI 1.02 - 1,34, p = 0,0251). Level of LDH, CRP, INR didn’t show significant ratio for this cohort of patient. Peritoneum metastatic also didn’t significant affect on OS in patient with metastatic gastric cancer. Patients with low baseline’s platelet to lymphocyte ratio (HR 1,004, 95% CI 1,0009-1,0072, p = 0,0125) and low (from 0 to 3,0) neutrophil to lymphocyte ratio (HR 1,81, 95% CI 1,09-2,99, p = 0,0212) had a significantly longest OS time. Conclusions: Inflammatory markers can predict overall survival in stage IV gastric cancer. Simple and useful.

scholarly journals Mean platelet volume may indicate early diagnosed gastric cancer based on inflammation

Platelets ◽  
2013 ◽  
Vol 26 (1) ◽  
pp. 99-100 ◽  
Author(s):  
Sait Demirkol ◽  
Sevket Balta ◽  
Ugur Kucuk ◽  
Turgay Celik
Keyword(s):  
Gastric Cancer ◽  
Mean Platelet Volume ◽  
Platelet Volume
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