Platelet Indices in Patients with Coal Workers’ Pneumoconiosis

Uygur, Fırat; Örnek, Tacettin; Tanrıverdi, Hakan; Altuntaş, Murat; Altınsoy, Bülent; Erboy, Fatma; Tor, Meltem; Atalay, Figen

doi:10.1007/s00408-016-9883-2

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…Previous studies have indicated an association between PCT and various cardiovascular events, such as a worse outcome in acute coronary syndrome 33,34 and presence of cardiac syndrome X, 35 and various pulmonary diseases such as pulmonary tuberculosis 25,26 and coal workers' pneumoconiosis. 36 Makhlouf et al 5 showed that PCT is higher in diabetic or nondiabetic patients with COPD compared with healthy controls, which is consistent with our results.…”

Section: Discussionsupporting

confidence: 92%

The relationship between hematological parameters and the severity level of chronic obstructive lung disease

Kalemci¹,

Akın²,

Sarihan³

et al. 2018

Polish Archives of Internal Medicine

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INTRODUCTION Chronic obstructive pulmonary disease (COPD) is the most important lung disease leading to disability and even death. Recent studies have shown that the platelet indices are associated with several cardiovascular diseases; however, there is little data on COPD. OBJECTIVES We aimed to explore the relationship between platelet indices, together with the platelet-to-lymphocyte ratio (PLR), white blood cell count to mean platelet volume ratio (WMR), and red cell distribution width (RDW) and the severity of COPD. PATIENTS AND METHODS This retrospective study was based on data collected from a total of 153 COPD patients admitted to our outpatient clinic between March 2014 and March 2015. All of the participants underwent pulmonary function tests; FEV1, FVC, and FEV1/FVC were measured. The study population was divided into four according to the severity of COPD as group A (mild), group B (mild to moderate), group C (moderate to severe), and group D (severe). RESULTS A significant increase was found in platelet distribution width (PDW), MPV, plateletcrit, PLR, and RDW while WMR decreased as the COPD severity increases. In the multiple logistic regression analysis, we found that PDW and RDW were independently associated with the presence of severe COPD. ROC curve analysis showed that a PDW>14.85 was associated with severe COPD with 85% sensitivity and 86% specificity while RDW>14.45 was associated with severe COPD with 90% sensitivity and 87% specificity. CONCLUSIONS The PDW and the RDW are independently associated with disease severity, which may indicate hypoxemia, underlying inflammation, and oxidative stress in COPD.

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Section: Discussionsupporting

confidence: 92%

The relationship between hematological parameters and the severity level of chronic obstructive lung disease

Kalemci¹,

Akın²,

Sarihan³

et al. 2018

Polish Archives of Internal Medicine

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“…8 However, the hemoglobin levels have no significant differences in patients with different stages. 23 In our study, there were no significant differences in hemoglobin and hematocrit between I/II stage pneumoconiosis and III stage pneumoconiosis. We consider that these discrepant results may be attributed to different occupational exposure factors and time in patients with pneumoconiosis.…”

Section: Discussioncontrasting

confidence: 55%

The Clinical Usefulness of Mean Corpuscular Hemoglobin Concentration in Patients with Pneumoconiosis

Peng¹,

Zhang²,

Luo³

2023

IJGM

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We investigated the clinical usefulness of mean corpuscular hemoglobin concentration (MCHC) in patients with pneumoconiosis. Methods: We retrospectively investigated the medical records from 52 patients with pneumoconiosis, and erythrocyte parameters were analyzed in pneumoconiosis patients with different stages.Results: Here, we found that the values of MCHC were significantly lower in III stage pneumoconiosis than those with I/II stage (p = 0.024), and there was no significantly difference in MCHC between smoking pneumoconiosis patients and non-smoking pneumoconiosis patients. A negatively correlation between MCHC and disease stage was observed in patients with pneumoconiosis (r = −0.298, p = 0.032). In multiple linear regression analysis, the MCHC was found to be independently associated with advanced pneumoconiosis in patients with pneumoconiosis (p=0.011). The results of logistic regression analysis indicated that decreased MCHC was an independent risk factor of advanced pneumoconiosis in patients with pneumoconiosis (OR: 0.936, CI95%: 0.877-0.999, p = 0.046). Receiver operating characteristic curve analysis showed that the optimal cutoff value of MCHC was 330 g/L to identify advanced pneumoconiosis with the area under the curve of 0.694 (CI95%:0.550-0.839, p = 0.018). Conclusion:The decreased MCHC is associated with advanced pneumoconiosis, and MCHC may be used as a monitoring marker for follow-up of pneumoconiosis patients.

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“…These biomarkers include IL6, IL8, TNFα, CC16, Npnt and serum HO-1 [20][21][22][23]. However, although these biomarkers are useful in understanding the pathogenesis and progression of silicosis, it is not possible to identify a biomarker with the greatest potential for silica-related diseases with complex pathogenesis [20,24,25].…”

Section: Discussionmentioning

confidence: 99%

Integration of routine hematological indicators for early diagnosis of occupational silicosis

Sun

Zhang

Xiang

et al. 2023

Preprint

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Objectives To explore the value of a logistic regression model based on haematological parameters for the early diagnosis of silicosis by comparing the differences in haematological parameters between silicosis patients and healthy physical examiners.Methods A total of 390 individuals, including 195 silicosis patients and 195 normal participants were included in the training cohort. Then, 65 silicosis patients and 65 healthy individuals were enrolled in the validation cohort. Whole blood samples were collected from all participants, and hematological indicator characteristics were determined. Features with statistical significance in the univariate analysis of the training cohort and reported significant features were included in the logistic regression analysis to determine the independent factors influencing the diagnosis of silicosis and to construct a logistic diagnostic model. A receiver operating characteristic (ROC) curve was plotted to evaluate the accuracy of the model in diagnosing silicosis.Results In the training cohort, several hematological indicators were significantly different in silicosis patients, including Hematocrit(HCT), Hemoglobin(HGB), Mean corpuscular volume(MCV), Red Blood Cell Count(RBC), White blood cell count (WBC), Mon#, Mon%, Neu#, Neu%, Red blood cell distribution width coefficient of variation(RDW_CV), C-reactive protein(CRP), Hydroxybutyrate dehydrogenase (HBDH), Lactate dehydrogenase(LDH), Prothrombin time(PT), International normalized ratio(INR), Fibrinogen(FIB), and D-Dimer(DD) levels, all with statistical significance (P < 0.05). The silicosis diagnostic model performed well in the training cohort (Area Under Curve, AUC = 0.943) and had high diagnostic sensitivity (83.1%) and specificity (92.3%). The diagnostic model also effectively distinguished between silicosis patients and the control cohort in the validation cohort (AUC = 0.936).Conclusions This study confirmed that Age, CRP, LDH, Macro%, and INR were independent factors influencing the diagnosis of silicosis, and the logistic regression model based on these indicators could provide a reliable basis for predicting silicosis diagnosis.

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Platelet Indices in Patients with Coal Workers’ Pneumoconiosis

Abstract: Platelet indices may be considered as disease markers for pneumoconiosis in coal miners and as a useful indicator of the progression of pneumoconiosis.

Cited by 4 publications

References 17 publications

The relationship between hematological parameters and the severity level of chronic obstructive lung disease

The relationship between hematological parameters and the severity level of chronic obstructive lung disease

The Clinical Usefulness of Mean Corpuscular Hemoglobin Concentration in Patients with Pneumoconiosis

Integration of routine hematological indicators for early diagnosis of occupational silicosis

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