Exploring the role of systemic immune-inflammation index and neutrophil-lymphocyte ratio in cardiovascular risk stratification for patients with hidradenitis suppurativa: A cross-sectional study

Biomarkers of systemic inflammation are associated with disease severity and metabolic syndrome in patients with hidradenitis suppurativa

Background

Biomarkers associated with disease severity and comorbid metabolic syndrome (MetS) in patients with hidradenitis suppurativa (HS) are lacking.

Objective

To identify biomarkers associated with disease severity and comorbid MetS in patients with HS.

Methods

Data on hospital outpatients with HS were obtained through clinical examination and interviews. Indicators of systemic inflammation; C-reactive protein (CRP), erythrocyte sedimentation-rate (ESR), neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR), monocyte/lymphocyte-ratio (MLR), platelet/neutrophil-ratio (PNR), pan-immune-inflammation-value (PIV), and systemic-immune-inflammatory-index (SII), were calculated from blood samples.

Results

Seven hundred patients were included; of those 444 (63.4%) and 256 (36.6%) were female and male, respectively, with a median age of 38.3 years (IQR = 27.9-51.0). Increasing CRP, ESR, NLR, PIV, and SII (P < .001) were significantly associated with increasing Hurley-stage and international hidradenitis suppurativa severity score system 4 (IHS4)-score in adjusted analysis. A doubling in CRP (OR 1.59 (1.36-1.85), P < .001), ESR (OR 1.39 (1.17-1.66), P < .001) and PIV (OR 1.41 (1.12-1.77) P = .002) was associated with MetS in adjusted analysis. ESR was the best estimator for severe IHS4-score (AUC = 0.72 (0.66-0.77), P < .001) and Hurley III (AUC = 0.79 (0.73-0.85), P < .001) whereas CRP was best for MetS (AUC = 0.67 (0.62-0.72), P < .001).

Limitations

Patients in a hospital setting tend to have more severe disease.

Conclusion

Biomarkers like CRP, ESR, and PIV measuring systemic inflammation were associated with disease severity and comorbid MetS in patients with HS.

Complete blood count inflammation derived indexes as predictors of metabolic syndrome in type 2 diabetes mellitus

BACKGROUND

Metabolic syndrome (MetS) is a group of comorbidities related to regulating hyperglycemia and acute cardiovascular incidents and complications. With the increasing prevalence in individuals with type 2 diabetes mellitus (T2DM), MetS represents an increasing public health problem and clinical challenge, and early diagnosis is necessary to avoid the accelerated development of diabetic complications.

OBJECTIVE

To investigate the role of Complete Blood Count-derived Inflammation Indexes (CBCIIs) in predicting MetS in T2DM individuals.

METHODS

The study was designed as a two-year prospective study and included 80 T2DM individuals divided into MetS and non-MetS groups based on MetS development over two years. The sera samples were analyzed for complete blood count parameters and C-reactive protein (CRP). Based on the laboratory test results, 13 CBCIIs were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy.

RESULTS

There were significant differences between T2DM participants with Mets and those without MetS concerning Neutrophil to Platelet Ratio (NPR) values (p< 0.001), Neutrophil to Lymphocyte and Platelet Ratio (NLPR) (p< 0.001), Platelet to Lymphocyte Ratio (PLR) (p< 0.001), Lymphocyte to C-reactive protein Ratio (LCR) (p< 0.001), C-reactive protein to Lymphocyte Ratio (CRP/Ly) (p< 0.001), Systemic immune inflammation index (SII) (< 0.001), and Aggregate Index of Systemic Inflammation (AISI) (p= 0.005). The results of ROC curve analysis have shown that the LCR (AUC of 0.907), CRP/Ly (AUC of 0.907) can serve as excellent predictors, but NPR (AUC of 0.734), NLRP (AUC of 0.755), PLR (AUC of 0.823), SII (AUC of 0.745), and AISI (AUC of 0.688) as good predictors of MetS in T2 DM individuals.

CONCLUSION

This study confirms the reliability of the CBCIIs as novel, simple, low cost and valuable predictors of MetS developing in T2DM.

Hematologic and biochemical inflammatory markers increase with body mass and positively correlate in adolescents

BACKGROUND

Atherosclerosis is a chronic inflammatory disease that has its origins in childhood. The goal of this study was to explore the relationships of hematologic inflammatory markers to body mass, biochemical inflammatory markers and cardiometabolic risk factors.

METHODS

Healthy, white, non-Hispanic identifying adolescents (n = 75, age 12 to 18 years) were enrolled. Measures studied included body mass index percentile (BMI%), neutrophil and platelet to lymphocyte ratio (NLR, PLR), pan immune inflammation value (PIV), lipids, augmentation index, reactive hyperemia, inflammatory markers (interleukin 6: IL6, c-reactive protein: CRP), complement (C3, C3a, C4, C4a, C5a) insulin secretion and insulin sensitivity (oral glucose tolerance test: Matusda index, and disposition index (DI)).

RESULTS

NLR (rS = 0.31, p < 0.01), PLR (rS = 0.32, p < 0.01), PIV (rS = 0.32, p < 0.01) and CRP (rS = 0.51, p < 0.001) all positively correlated with BMI% but IL-6 did not. NLR, PLR and PIV all positively correlated with each other. NLR correlated with the reactive hyperemia response (rS = 0.29, p < 0.02) but this relationship was lost when BMI% was included. NLR positively correlated with C3a, C4, CRP and IL6 even when BMI% was included.

CONCLUSION

In healthy adolescents hematologic markers of inflammation increase with increasing body mass and neutrocyte to lymphocyte ratio is associated with increased complement and inflammatory markers independent of obesity.

IMPACT STATEMENT

Hematologic and biochemical markers of inflammation increase with increased body mass in healthy adolescents. Hematologic and biochemical markers of inflammation are positively related independent of body mass in healthy adolescents. Hematologic inflammatory markers are not related to markers of cardiometabolic risk in healthy adolescents.