Mean platelet volume as a marker for differentiating disease flare from infection in Behçet's disease

The prognostic value of mean platelet volume in patients with coronary artery disease: An updated systematic review with meta-analyses

BACKGROUND

Mean platelet volume (MPV) is a widely available laboratory index, however its prognostic significance in patients with coronary artery disease (CAD) is still unclear. We intended to investigate and pool the evidence on the prognostic utility of admission MPV in predicting clinical outcomes in patients with CAD.

METHODS

PubMed, Web of Science, and Scopus were the major databases used for literature search. The risk of bias was assessed using the quality in prognostic factor studies. We used random-effects pairwise analysis with the Knapp and Hartung approach supported further with permutation tests and prediction intervals (PIs).

RESULTS

We identified 52 studies with 47,066 patients. A meta-analysis of nine studies with 14,864 patients demonstrated that one femtoliter increase in MPV values was associated with a rise of 29% in the risk of long-term mortality (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.22-1.37) in CAD as a whole. The results were further supported with PIs, permutation tests and leave-one-out sensitivity analyses. MPV also demonstrated its stable and significant prognostic utility in predicting long-term mortality as a linear variable in patients treated with percutaneous coronary intervention (PCI) and presented with acute coronary syndrome (ACS) (HR 1.29, 95% CI 1.20-1.39, and 1.29, 95% CI 1.19-1.39, respectively).

CONCLUSION

The meta-analysis found robust evidence on the link between admission MPV and the increased risk of long-term mortality in patients with CAD patients, as well as in patients who underwent PCI and patients presented with ACS.

Mean platelet volume as a predictor in the differentiation of Behçet's disease from recurrent aphthous stomatitis - A single centre, prospective, case-control study

INTRODUCTION

Recurrent oral ulcers (ROUs) are the most common disorder of the oral cavity in the community. The most challenging issue for the clinician to deal with in the diagnosis is to distinguish whether ROUs are associated with primarily Behçet's disease (BD). We aimed to investigate whether hemogram parameters contribute to reinforce BD suspicion in the differential diagnosis of recurrent aphthous stomatitis (RAS) and BD.

METHODS

A total of 260 participants were recruited from the dermatology department in this single-centre, prospective, case-control study. Participants meeting eligibility criteria were divided into three groups as healthy control (n = 90), RAS (n = 97) and mucocutaneous BD (n = 73). The mean platelet volume (MPV), red cell distribution width (RDW), haemoglobin, neutrophils, monocyte, lymphocytes and platelet counts were evaluated with the complete blood count. Furthermore, the neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio and platelet/lymphocyte ratio were calculated. Erythrocyte sedimentation rate (ESR) and C-reactive protein were recorded. The contribution of hemogram parameters to the differentiation of BD from RAS was analysed.

RESULTS

The healthy control, RAS and BD groups were matched in terms of mean age (29.3 ± 5.8, 28.7 ± 5.6 and 29.9 ± 6.8 years; respectively) and sex distribution (women/men rate: 1.4, 1.6 and 1.7; respectively). ESR, neutrophil count and NLR were significantly higher in BD patients. (P = .032, P = .010, P = .019; respectively). MPV is significantly decreased in BD patients than in healthy control and RAS patients (P < .001). Decreased MPV (≤10 fL) and increased RDW (≥13.0%) were useful in predicting BD in patients evaluated with complaints of ROUs (OR = 9.98, 95% CI: [4.65-21.42], P < .001 and OR = 2.23, 95% CI: [1.14-3.36], P = .019, respectively).

CONCLUSIONS

Decreased MPV may be predictive for BD in selected patients with ROUs. We consider that more attention is required in terms of BD especially if MPV ≤10.0 fL.

Platelet activation in ocular Behçet's patients with posterior segment involvement

PURPOSE:

The aim of the present study was to assess platelet activation by analyzing three platelet activation parameters in ocular Behçet's disease (BD): mean platelet volume (MPV), platelet distribution width (PDW), and plateletcrit (PCT).

METHODS:

Twenty-nine patients with active ocular BD (Group 1), 40 patients with inactive ocular BD (Group 2), and 40 healthy adult individuals serving as controls (Group 3) were evaluated. All of the individuals had been performed the complete ophthalmologic evaluation. The levels of MPV, PDW, and PCT were measured in each group.

RESULTS:

The mean MPV level was 8.40 ± 0.97 in Group 1, 8.32 ± 1.04 in Group 2, and 7.77 ± 0.72 in Group 3. The mean PDW level was 15.12 ± 1.09 in Group 1, 14.97 ± 1.02 in Group 2, and 14.52 ± 0.82 in Group 3. The mean PCT level was 0.23 ± 0.07 in Group 1, 0.21 ± 0.04 in Group 2, and 0.18 ± 0.03 in Group 3. MPV, PDW, and PCT levels were significantly higher in ocular BD patients than controls (P < 0.05).

CONCLUSION:

Platelet activation may affect vascular occlusion in ocular Behçet's patients with posterior segment involvement. This result may be important in evaluating ocular BD patients.

Use of prognostic nutritional index in the evaluation of disease activity in patients with Behçet's disease

OBJECTIVE

Behçet's disease (BD) is a chronic, multisystem disorder that can cause severe morbidity and mortality. Monitoring tools that measure disease activity are required for effective management of BD. We aimed to investigate the association of prognostic nutritional index (PNI) with disease activity in BD.

METHODS

In this cross-sectional study, we enrolled 88 adult patients with BD and 51 healthy controls. The patients were divided into patients with active and inactive BD according to their disease activities. PNI was calculated using the following formula: 10×serum albumin (g/dL)+0.005×peripheral lymphocyte count (per mm3). To evaluate BD activity, the Behçet Disease Current Activity Form was used. The relations of BD activity with PNI, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, erythrocyte sedimentation rate, and C-reactive protein were investigated. A receiver operator characteristic curve analysis was used to define the optimum cutoff value of PNI for active BD.

RESULTS

A total of 48 patients were classified as having active BD and 40 as having inactive BD. Patients with active BD had lower mean PNI than patients with inactive BD and healthy controls (51.8±4.2, 57.4±2.9, and 56.6±3.6, respectively; p<0.001). In multivariate analysis, PNI was the only independent predictor of BD activity (odds ratio, -0.687; 95% confidence interval 0.548-0.861; p=0.001). The optimum cutoff of PNI for active BD was 55.35 with 79.2% sensitivity and 77.75% specificity.

CONCLUSION

PNI was significantly associated with BD activity. PNI may be a useful tool for the assessment of disease activity in BD.

Accuracy of neutrophil CD64 expression in diagnosing infection in patients with autoimmune diseases: a meta-analysis

We aimed to systematically evaluate the accuracy of nCD64 in diagnosing infection in patients with autoimmune diseases. Studies were searched in PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang, and Chongqing VIP databases up to October 2018. There was no restriction for language and age. Prospective studies examining the accuracy of nCD64 in diagnosing infection in patients with autoimmune diseases were included. The Quality Assessment of Diagnostic Accuracy Studies-2 tool was used to assess the quality of eligible studies. Stata 15.1 and Meta-DiSc 1.4 software were used for data analysis. Eleven studies fulfilled the inclusion criteria (677 patients, 229 patients with bacterial infection, and 448 without infection). The pooled sensitivity and specificity of nCD64 were 89% (95% confidence interval (CI) 82-93) and 94% (95% CI 91-96), respectively. The pooled positive likelihood ratio and negative likelihood ratio were 14.9 (95% CI 9.3-23.8) and 0.12 (95% CI 0.07-0.20), respectively. The diagnostic odds ratio and area under the summary receiver operating characteristic curve were 123 (95% CI 53-283) and 0.97 (95% CI 0.95-0.98), respectively. The univariate meta-regression analysis showed that region, type of disease, antibiotic therapy, and presentation of nCD64 measurement results were responsible for the heterogeneity. The Deeks' funnel plot asymmetry test showed that there was no publication bias (p = 0.15). nCD64 has a good overall diagnostic performance for differentiating infection from disease flare in patients with autoimmune diseases. Further studies are needed to confirm the optimized cutoff value.