Effect of inflammatory factors on myocardial infarction.

BACKGROUND: Cohort studies have increasingly shown associations between inflammatory markers and myocardial infarction (MI); however, the specific causal relationships between inflammatory markers and the development of MI remain unclear. METHODS AND RESULTS: By utilizing publicly accessible genome-wide association studies, we performed a two-sample Mendelian randomization (MR) analysis to explore the causal associations between inflammatory markers and myocardial infarction (MI). A random-effects inverse-variance weighted method was used to calculate effect estimates. The study included a total of 395,795 European participants for MI analysis and various sample sizes for inflammatory factors, ranging from 3,301 to 563,946 participants.Neutrophil count was found to increase the risk of MI (odds ratio [OR] = 1.08; 95% confidence interval [CI], 1.00-1.17; p = 0.04). C-reactive protein levels correlated positively with MI. No associations were observed with IL-1 beta, IL-6, IL-18, procalcitonin, TNF-α, total white cell count, or neutrophil percentage of white cells. Neutrophil count and C-reactive protein were inversely associated with lactate dehydrogenase: neutrophil cell count (OR 0.95; 95% CI, 0.93-0.98; p < 0.01) and C-reactive protein (OR 0.96; 95% CI, 0.92-1.00; p = 0.02). No associations of MI with myoglobin, troponin I, and creatine kinase-MB levels were found. CONCLUSIONS: This two-sample MR analysis revealed a causal positive association of MI with neutrophil count, C-reactive protein level, and the myocardial injury marker lactate dehydrogenase. These results indicate that monitoring C-reactive protein and neutrophil counts may be useful in management of MI patients.

Analysis of Correlation between Blood Inflammation Indicators in Peripheral Blood and Prognosis of Patients with Multiple Myeloma.

BACKGROUND: This study aimed to investigate the value of the peripheral blood neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) in the prognosis of patients with multiple myeloma (MM). METHODS: Before treatment, the NLR and LMR and all clinical indicators of 168 patients, diagnosed with MM at the Affiliated Hospital of Southwest Medical University from April 2013 to April 2022, were retrospectively analyzed, and the patients were grouped according to their median NLR counts and median LMR counts. Differences between the groups were compared by using the chi-squared (χ²) test, the Kaplan-Meier survival curve and Log-rank test were used for survival analysis and difference comparison, and the COX proportional risk model was constructed to analyze the factors affecting the prognosis of the MM patients. The test level was α = 0.05. RESULTS: The groups were divided into high NLR group (> 2.19) and low NLR group (≤ 2.19) and high LMR group (> 3.45) and low LMR group (≤ 3.45), according to the median NLR and LMR values. The clinical stage, blood ß2 microglobulin, and serum creatinine levels in the high NLR group were higher than in the low NLR group, and the differences between the groups were statistically significant (p < 0.05). The clinical stage and blood ß2 microglobulin in the low LMR group were higher than in the high LMR group, and the differences between the groups were statistically significant (p < 0.05). The Cox univariate and multivariate analyses showed that peripheral blood NLR < 2.19 and LMR ≤ 3.45 were independent risk factors for the prognosis in patients with MM (p < 0.05). CONCLUSIONS: High NLR and low LMR counts of peripheral blood suggest a poor prognosis; NLR and LMR may be prognostic indicators in MM patients.

Double-layer optical fiber interferometer with bio-layer-modified reflector for label-free biosensing of inflammatory proteins.

This work discusses label-free biosensing application of a double-layer optical fiber interferometer where the second layer tailors the reflection conditions at the external plain and supports changes in reflected optical spectrum when a bio-layer binds to it. The double-layer nanostructure consists of precisely tailored thin films, i.e., titanium (TiO2) and hafnium oxides (HfO2) deposited on single-mode fiber end-face by magnetron sputtering. It has been shown numerically and experimentally that the approach besides well spectrally defined interference pattern distinguishes refractive index (RI) changes taking place in a volume and on the sensor surface. These are of interest when label-free biosensing applications are considered. The case of myeloperoxidase (MPO) detection-a protein, which concentration rises during inflammation-is reported as an example of application. The response of the sensor to MPO in a concentration range of 1 × 10-11-5 × 10-6 g/mL was tested. An increase in the MPO concentration was followed by a redshift of the interference pattern and a decrease in reflected power. The negative control performed using ferritin proved specificity of the sensor. The results reported in this work indicate capability of the approach for diagnostic label-free biosensing, possibly also at in vivo conditions.

Are Systemic Inflammation Markers Reliable for Diagnosing Intrahepatic Cholestasis of Pregnancy? A Retrospective Cohort Study.

PROBLEM: This study aims to evaluate the effectiveness of inflammation indexes (systemic immune-inflammation index [SII], systemic inflammation response index [SIRI], pan-immune inflammation value [PIV], and neutrophil-to-lymphocyte ratio [NLR]) in the diagnosis of intrahepatic cholestasis of pregnancy (ICP). METHOD OF STUDY: A retrospective study was conducted, reviewing medical records of patients diagnosed with ICP who delivered between October 1, 2022, and May 31, 2023, at the Perinatology clinic of Etlik City Hospital, Ankara. A control group of healthy pregnant women with uncomplicated pregnancies was also included. Demographic data, clinical characteristics, and laboratory results, including systemic inflammation indices and liver enzyme levels, were collected and analyzed. RESULTS: A total of 242 participants were included, with 121 ICP patients and 121 controls. White blood cell count, neutrophil count, and monocyte count showed significant differences between the two groups (p = 0.011, p = 0.004, and p = 0.039, respectively). Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were significantly elevated in the ICP group (p < 0.001 for both). SII and NLR were higher in the ICP group compared to controls (p = 0.032 and p = 0.010, respectively). Receiver operating characteristic (ROC) analysis revealed moderate predictive values for SII (area under the curve [AUC] = 0.581, p = 0.030) and NLR (AUC = 0.598, p = 0.009), with no significant difference in their predictive power (p = 0.502). CONCLUSIONS: Systemic inflammation indices such as SII and NLR offer a cost-effective and rapid means of diagnosing ICP, potentially complementing or surpassing traditional biomarkers like bile acid levels and liver function tests (LFTs). These indices can be easily integrated into routine clinical practice, providing timely intervention to improve maternal and fetal outcomes. Further research is warranted to confirm these findings and establish standardized protocols for their use in ICP management.

A marker of systemic inflammation in hidradenitis suppurativa patients without cardiovascular disease: aortic arch calcification.

BACKGROUND: In this study, we aimed to investigate whether there is a relationship between aortic arch calcification (AAC) and hidradenitis suppurativa (HS) in HS patients without cardiovascular disease. METHODS: In this study, patients over 18 years of age who applied to the dermatology outpatient clinic between January 2023 and February 2024 were followed up with the diagnosis of HS without cardiovascular disease, and a healthy control group matched in terms of age and gender were included retrospectively. RESULTS: In total, 130 patients with HS without cardiovascular disease and 130 control patients were included in the study. AAC was significantly higher in the HS group compared to the control group (p = 0.028). In the multivariate analysis, we found that age and HS were independent predictors of AAC (OR: 1.048 (1.009-1.089); p = 0.015, OR: 3.158 (1.181-8.445); p = 0.022, respectively). When we divided the groups as having AAC (grade 1-3) and not having AAC (grade 0), the rate of HS disease was significantly higher in the group with AAC compared to the group without AAC (75.0% vs. 47.5% p = 0.010). CONCLUSIONS: AAC is observed more frequently in patients with HS without cardiovascular disease than in healthy individuals. Moreover, HS can be considered as an independent predictor of AAC. AAC may contribute to developing treatment strategies in HS patients without cardiovascular disease.

Unveiling inflammatory biomarkers in multibacillary leprosy: the role of lymphocyte-platelet ratio in predicting leprosy reactions.

Leprosy is a neglected contagious disease that causes physical disability and episodes of inflammation, called leprosy reactions. There are currently no consolidated laboratory markers that can predict or confirm the diagnosis of leprosy reactions, negatively impacting the progression of the disease. The aim of this study was to analyze the behavior of inflammatory biomarkers in a population of patients with multibacillary leprosy. This prospective study in a northeastern capital involved 67 new cases of multibacillary leprosy, assessing inflammatory biomarkers at diagnosis. Histopathology, qPCR, slit skin smear microscopy, and laboratory tests, including CRP-albumin, neutrophil-lymphocyte, lymphocyte-monocyte, platelet-lymphocyte ratios, and systemic immune-inflammation index, were conducted. Statistical analysis utilized Stata version 16.0®, employing Chi-square, Kruskal-Wallis, and Poisson regression (5% significance). The population, mainly young brown men with low socioeconomic status, borderline leprosy, and and degree of physical disability one, saw 19.4% experiencing leprosy reactions. Standard multibacillary multidrug therapy was administered to all. Ratios and index values exceeding medians were prevalent (46.3-47.8%). Assessing biological markers against leprosy reactions revealed a positive relation between reactions and lymphocyte-platelet ratio (p = 0.05) and a positive trend with the systemic immune-inflammation index (p = 0.06). Patients with reactions were 1.3 times more likely to exhibit an elevated lymphocyte-platelet ratio. The lymphocyte-platelet ratio emerged as a potential indicator for recognizing leprosy reactions. Further research is essential to validate these findings, aiming for earlier detection of leprosy reactions.

Forefoot inflammation in recent-onset ACPA-positive and ACPA-negative RA: clinically similar, but different in underlying inflamed tissues.

OBJECTIVES: Although joint swelling is traditionally interpreted as synovitis, recent imaging studies showed that there is also inflammation of tenosynovium and intermetatarsal bursae in the forefoot. We aimed to increase our understanding of differences and similarities regarding forefoot involvement between ACPA-positive and ACPA-negative rheumatoid arthritis (RA) at diagnosis. Therefore, we (1) compared metatarsophalangeal (MTP) joint counts, walking disabilities and inflamed tissues between ACPA groups and (2) studied associations of joint swelling/tenderness and walking disabilities with underlying inflamed tissues within ACPA groups. METHODS: 171 ACPA-positive and 203 ACPA-negative consecutively diagnosed patients with RA had a physical joint examination (swollen joint count-66/tender joint count-68), filled a Health Assessment Questionnaire including the domain walking and underwent MRI of the MTP joints at diagnosis. Synovitis, tenosynovitis, osteitis and intermetatarsal bursitis (IMB) were assessed. Findings in age-matched healthy controls were applied to define abnormalities on MRI. RESULTS: While ACPA-negative RA patients had more swollen joints (mean SJC 8 vs 6 in ACPA-positives, p=0.003), the number of swollen MTP joints was similar (mean 1 in both groups); walking disabilities were also equally common (49% vs 53%). In contrast, inflamed tissues were all more prevalent in ACPA-positive compared with ACPA-negative RA. Within ACPA-positive RA, IMB was associated independently with MTP-joint swelling (OR 2.6, 95% CI 1.4 to 5.0) and tenderness (OR 3.0, 95% CI 1.8 to 5.0). While in ACPA-negatives, synovitis was associated independently with MTP-joint swelling (OR 2.8, 95% CI 1.4 to 5.8) and tenderness (OR 2.5, 95% CI 1.3 to 4.8). Tenosynovitis contributed most to walking disabilities. CONCLUSIONS: Although the forefoot of ACPA-positives and ACPA-negatives share clinical similarities at diagnosis, there are differences in underlying inflamed tissues. This reinforces that ACPA-positive and ACPA-negative RA are different entities.

Association between inflammatory burden index and coronary slow flow phenomenon in patients with chest pain and no obstructive coronary arteries.

BACKGROUND: The inflammatory burden index (IBI), a novel inflammation-based indicator, to is associated with the presence and prognosis of various diseases. However, few studies have focused on exploring the relationship between IBI and the coronary slow flow phenomenon (CSFP). In this study, we aimed to investigate the predictive value of IBI for CSFP in patients with chest pain and no obstructive coronary artery disease. METHODS: A total of 1126 individuals with chest pain and no obstructive coronary arteries were consecutively included in this study. 71 patients developed CSFP were included in the CSFP group. A 1:2 age- and sex-matched patient with normal blood flow and angiographically proven normal coronary arteries was selected as the control group (n = 142). Plasma C-reactive protein (CRP), neutrophil, and lymphocyte counts were measured to determine the value of IBI. RESULTS: The IBI were significantly higher in the CSFP group than in the controls (21.1 ± 6.5 vs. 14.5 ± 6.4, P < 0.001). The IBI increasedelevated with the increase of the numbers of vessels affected by CSFP. Multivariate logistic regression analysis revealed that IBI and body mass index (BMI) were independent predictors of CSFP. Receiver operating characteristic (ROC) curve analysis showed that when IBI was > 15.74, the sensitivity and specificity were 77.5% and 67.6%, respectively, and the area under the ROC curve (AUC) was 0.799 (95% CI: 0.737-0.862, P<0.001). CONCLUSION: The IBI may be an independent predictor of CSFP in patients with chest pain and normal coronary arteries. The IBI could improve the predictive value of CSFP compared with the indicators alone.

Pathologist-level diagnosis of ulcerative colitis inflammatory activity level using an automated histological grading method.

BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is a global disease that is evolving with increasing incidence. However, there are few works on computationally assisted diagnosis of IBD based on pathological images. Therefore, based on the UK and Chinese IBD diagnostic guidelines, our study established an artificial intelligence-assisted diagnostic system for histologic grading of inflammatory activity in ulcerative colitis (UC). METHODS: We proposed an efficient deep-learning (DL) method for grading inflammatory activity in whole-slide images (WSIs) of UC pathology. Our model was constructed using 603 UC WSIs from Nanjing Drum Tower Hospital for model train set and internal test set. We collected 212 UC WSIs from Zhujiang Hospital as an external test set. Initially, the pre-trained ResNet50 model on the ImageNet dataset was employed to extract image patch features from UC patients. Subsequently, a multi-instance learning (MIL) approach with embedded self-attention was utilized to aggregate tissue image patch features, representing the entire WSI. Finally, the model was trained based on the aggregated features and WSI annotations provided by senior gastrointestinal pathologists to predict the level of inflammatory activity in UC WSIs. RESULTS: In the task of distinguishing the presence or absence of inflammatory activity, the Area Under Curve (AUC) value in the internal test set is 0.863 (95% confidence interval [CI] 0.829, 0.898), with a sensitivity of 0.913 (95% [CI] 0.866, 0.961), and specificity of 0.816 (95% [CI] 0.771, 0.861). The AUC in the external test set is 0.947 (95% confidence interval [CI] 0.939, 0.955), with a sensitivity of 0.889 (905% [CI] 0.837, 0.940), and specificity of 0.858 (95% [CI] 0.777, 0.939). For distinguishing different levels of inflammatory activity in UC, the average Macro-AUC in the internal test set and the external test set are 0.827 (95% [CI] 0.803, 0.850) and 0.908 (95% [CI] 0.882, 0.935). the average Micro-AUC in the internal test set and the external test set are 0.816 (95% [CI] 0.792, 0.840) and 0.898 (95% [CI] 0.869, 0.926). CONCLUSIONS: Comparative analysis with diagnoses made by pathologists at different expertise levels revealed that the algorithm reached a proficiency comparable to the pathologist with 5 years of experience. Furthermore, our algorithm performed superior to other MIL algorithms.

Prognostic value of systemic inflammation response index in cancer patients treated with PD-1/PD-L1 immune checkpoint inhibitors: a meta-analysis.

BACKGROUND: The prognostic significance of the systemic inflammatory response index (SIRI) in patients with cancer receiving programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) immune checkpoint inhibitors (ICIs) has been widely investigated; however, the results have been conflicting. As such, the present meta-analysis aimed to analyze the precise significance of the SIRI in predicting prognosis in patients with cancer undergoing ICI therapy. METHODS: A comprehensive literature search of the Web of Science, PubMed, Embase, and Cochrane Library databases for relevant studies, published from inception to April 25, 2024, was performed. The SIRI was analyzed for its prognostic utility in patients undergoing ICI therapy by calculating combined hazard ratios (HRs) and corresponding 95% confidence intervals (CIs). RESULTS: Six studies comprising 1133 patients were included in the analysis. Pooled data revealed that a higher SIRI was significantly associated with poor overall survival (OS) (HR 1.96 [95% CI 1.55-2.47]; p < 0.001) and progression-free survival (PFS) (HR 1.41 [95% CI 1.19-1.67]; p < 0.001) for patients who underwent PD-1/PD-L1 ICI treatment. Subgroup analysis revealed that SIRI was markedly associated with dismal OS and PFS, independent of sample size, cut-off value, and survival analysis (p < 0.05). The findings were verified to be robust against publication bias and sensitivity analyses. CONCLUSION: In summary, an elevated SIRI was significantly associated with OS and PFS in patients with cancer undergoing PD-1/PD-L1 ICI treatment. SIRI may a candidate indicator for predicting the prognosis of patients undergoing ICI therapy.

To our knowledge, this meta-analysis is the first to analyze the utility of the SIRI in predicting the prognosis of patients with cancer undergoing ICI therapy.Pooled data demonstrated that a higher SIRI was significantly associated with OS and PFS in patients with cancer undergoing PD-1/PD-L1 ICI treatment.SIRI may be a candidate indicator for predicting the prognosis of patients undergoing ICI therapy.

The Pathophysiology, Diagnosis and Management of Chronic Inflammatory Skin Diseases.

Atopic dermatitis, psoriasis, rosacea, seborrheic dermatitis, allergic contact dermatitis, and irritant contact dermatitis comprise a large proportion of chronic inflammatory dermatoses. This paper reviews the clinical presentations, pathophysiology, and therapeutics of inflammatory dermatoses, highlighting recent drug developments such as lebrikizumab for atopic dermatitis as well as deucravacitinib and spesolimab for psoriasis. Chronic inflammatory dermatoses significantly impact patient quality of life and contribute to substantial healthcare costs. Effective management of severe cases often requires systemic therapies and biological therapies. A thorough clinical evaluation with a tailored therapeutic approach is essential for delivering optimal care to individuals with chronic inflammatory skin diseases.

Evaluation of primary markers of inflammation and the systemic inflammation index in specific learning disabilities.

Aim: Specific learning disorder (SLD) is a term that refers to reading, writing and arithmetic difficulties. The neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and systemic inflammation index (SII) are affordable and accessible inflammatory biomarkers. This research aims to evaluate the relationship between NLR, PLR, SII and SLD to determine whether inflammation contributes to pathogenesis.Methods: This study included 90 SLD-diagnosed patients and 90 age-, sex- and ethnicity-matched healthy controls. Blood cell counts and NLR, PLR and SII values were obtained from medical records and compared between the two groups.Results: The NLR, PLR and SII were significantly higher (p = 0.029, p = 0.033 and p = 0.018 respectively) and lymphocyte counts were significantly lower (p = 0.041) in the SLD group. WISC-R total scores decreased with age in the SLD group (-1.988 coefficient, Beta = -0.247 ß, p = 0.041). Multivariate logistic regression analysis revealed that the SII was the only parameter independently associated with the diagnosis of SLD (Beta = 0.003, p = 0.023).Conclusion: Inflammation might play a role in SLD etiopathogenesis. NLR, PLR and SII may be potential biomarkers for SLD in children. Further research may lead to early diagnosis and additional anti-inflammatory pharmacological therapies for SLDs.

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Contribution of inflammation markers and quantitative sensory testing (QST) indices of central sensitisation to rheumatoid arthritis pain.

BACKGROUND: Pain, the primary complaint in rheumatoid arthritis (RA), is multifaceted, and may be driven by inflammatory disease activity and central sensitisation. We aimed to ascertain what proportion of RA pain severity is explained by markers of inflammation and quantitative sensory testing (QST) indices of central sensitisation. METHODS: This was a cross-sectional analysis of data from individuals with clinically active RA. Pain severity was assessed using numerical rating scales and inflammation via 28-joint Disease Activity Score (DAS28) and Ultrasound (Greyscale, Power Doppler). Pain sensitivity was assessed by 'static' (tibialis anterior or brachioradialis pressure pain detection threshold-PPT-TA/PPT-BR) and 'dynamic' (temporal summation-TS, conditioned pain modulation-CPM) QST. Bivariate associations used Spearman's correlation coefficients, and multivariable linear regression models determined relative contributions to pain severity. RESULTS: In bivariate analyses of N = 96 (age 65 ± 10y, 77% females) people with RA, pain severity was significantly associated with inflammation indices (r = 0.20 to 0.55), and CPM (r=-0.26). In multivariable models that included TS, CPM, age, sex, and body mass index, inflammation indices remained significantly associated with pain severity. Multivariable models explained 22 to 27% of pain variance. Heterogeneity was apparent for associations with pain between subscores for pain now, strongest or average over the past 4-weeks. CONCLUSIONS: In individuals with clinically active RA, markers of inflammatory disease activity best explain RA pain with only marginal contributions from QST indices of central sensitisation. Although inflammation plays a key role in the experience of RA pain, the greater proportion of pain severity remains unexplained by DAS28 and ultrasound indices of inflammation.

Inverted U-Shaped relationship Between Systemic Immune-Inflammation Index and Pulmonary Function: A Large Population-Based Study in US Adults.

Background: Systemic immune-inflammation index (SII) is a novel comprehensive inflammatory marker. Inflammation is associated with impaired lung function. We aimed to explore the possible relationship between SII and lung function to examine the potential of SII in predicting lung function decline. Methods: A cross-sectional survey was conducted using the data of the NHANES from 2007 to 2012. Multiple linear regression models were used to analyze the linear relationship between SII and pulmonary functions. Sensitivity analyses, subgroup analyses, and interaction tests were used to examine the robustness of this relationship across populations. Fitted smooth curves and threshold effect analysis were used to describe the nonlinear relationships. Results: A total of 10,125 patients were included in this study. After adjusting for all covariates, multiple linear regression model analysis showed that high Log2-SII level was significantly associated with decreased FVC(ß, -23.4061; 95% CI, -42.2805- -4.5317), FEV1(ß, -46.7730; 95% CI, -63.3371- -30.2089), FEV1%(ß, -0.7923; 95% CI, -1.1635- -0.4211), FEV1/FVC(ß, -0.6366; 95% CI, -0.8328- -0.4404) and PEF(ß, -121.4468; 95% CI,-164.1939- -78.6998). The negative correlation between Log2-SII and pulmonary function indexes remained stable in trend test and stratified analysis. Inverted U-shaped relationships between Log2-SII and FVC, FEV1, FEV1%, and PEF were observed, while a negative linear correlation existed between FEV1/FVC and Log2-SII. The cutoff values of the nonlinear relationship between Log2-SII and FVC, FEV1, FEV1%, PEF were 8.3736, 8.0688, 8.3745, and 8.5255, respectively. When SII exceeded the critical value, the lung function decreased significantly. Conclusion: This study found a close correlation between SII and pulmonary function indicators. This study investigated the SII threshold when lung functions began to decline in the overall population. SII may become a promising serological indicator for predicting lung function decline. However, prospective studies were needed further to establish the causal relationship between these two factors.

Prognosis impact of multiple novel lymphocyte-based inflammatory indices in patients with initially diagnosed coronary artery disease.

BACKGROUND: This study aimed to evaluate six novel lymphocyte-based inflammatory markers (neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, platelet-lymphocyte ratio [PLR], systemic immune inflammation index [SII], systemic inflammatory response index, and systemic immune inflammation response index [SIIRI]) in patients with newly diagnosed coronary artery disease [CAD]. METHODS: A total of 959 patients newly diagnosed with CAD and underwent diagnostic coronary angiography were enrolled in this study and followed for major adverse cardiovascular events (MACEs), including cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. The best cutoff value was used to compare the six indicators. Cox risk regression analysis evaluated the relationship between novel lymphocyte-based inflammatory markers and MACEs in newly diagnosed CAD patients. RESULTS: During a mean follow-up period of 33.3 ± 9.9 months, 229 (23.9%) MACEs were identified. Multivariate Cox regression analysis showed that only SIIRI (hazard ratio [HR]: 5.853; 95% confidence interval [CI]: 4.092-8.371; p < .001) and PLR (HR: 1.725; 95% CI: 1.214-2.452; p = .002) were independent predictors of MACEs. Nevertheless, following the adjustment for covariates, only the SIIRI was found to be a significant predictor MACEs and its corresponding specific endpoint occurrences. The predictive ability of the model was improved when six different inflammatory markers were added to the basic model established by traditional risk factors, namely, the C-index increased, and the SIIRI increased most significantly (AUC: 0.778; 95% CI: 0.743-0.812; p < .001). However, among the six novel inflammatory markers, only SIIRI had improved net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI: 0.187; 95% CI: 0.115-0.259, p < .001. IDI: 0.135; 95% CI: 0.111-0.159, p < .001), which was superior to the basic model established by traditional risk factors. CONCLUSIONS: SIIRI is independent predictor of MACEs in newly diagnosed CAD patients. SIIRI was superior to other measures in predicting MACEs. The combination of SIIRI and traditional risk factors can more accurately predict MACEs.

Can pin-site inflammation be detected with thermographic imaging? A cross-sectional study from the USA and Denmark of patients treated with external fixators.

BACKGROUND AND PURPOSE:  Patients with external fixators are at risk of pin-site infection. A tool for objective monitoring of pin sites for evolving signs of infection is warranted. We aimed to investigate the temperature (MaxTp) difference between clean and visually inflamed pin sites using thermography and to establish the optimal cut-off value of MaxTp using thermography as a screening tool for inflammation detection. METHODS:  This was a cross-sectional study performed in the USA and Denmark of patients with circular external fixators. Pin sites were visually judged by a surgeon or a nurse as clean or as showing signs of inflammation. The MaxTp was obtained at the pin site by thermographic imaging using an infrared camera (FLIR T540). RESULTS:  We included 1,970 pin sites from 83 patients. The mean MaxTp for clean pin sites (n = 1,739) was 33.1°C (95% confidence interval [CI] 32.8-33.4) and the mean MaxTp for visual inflamed pin sites (n = 231) was 34.0°C (CI 33.6-34.3). The mean difference, when adjusted for repeated observations of patients and pin sites, was statistically significant with a difference of 0.9°C (CI 0.7-1.1) (P < 0.001). The area under the receiver operating characteristic curve for MaxTp as a screening tool to detect visual signs of inflammation was 0.71 (CI 0.65-0.76). The empirically optimal cut-off value was 34.1°C with a sensitivity of 65%, a specificity of 72%, a positive predictive value of 23%, and a negative predictive value of 94%. CONCLUSION:  We found a statistically significant difference in mean temperature between pin sites with and without visual signs of inflammation. Thermography could be a promising tool for future point of care technology for monitoring inflammation around pin sites.

Congential nasolacrimal duct obstruction: investigating the role of systemic inflammation through novel biomakers.

OBJECTIVE: Congenital nasolacrimal duct obstruction (CNLDO) is a common lacrimal system anomaly in newborns and infants. We aimed to evaluate the role of inflammation in the pathogenesis of persistent CNLDO and its potential use in diagnosis and follow up, focusing on novel inflammatory biomarkers: Systemic Immune-Inflammation Index (SII), Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), Red cell distribution width (RDW), and Mean platelet volume (MPV). METHODS: A retrospective case-control study involving 76 CNLDO patients and 47 age-matched healthy controls was conducted. Complete blood count parameters were analyzed to calculate SII, NLR, PLR, RDW, and MPV. Receiver Operating Characteristic (ROC) analysis determined the diagnostic efficacy of these markers. RESULTS: SII, RDW, and neutrophil count were significantly elevated in the CNLDO group (p < 0.05). An elevated SII (cutoff > 200.9) demonstrated a sensitivity of 63.2% and a specificity of 63.8%. ROC analysis (AUC = 61.7%, p = 0.029) indicated that SII is a more significant marker for diagnosing CNLDO compared to NLR and PLR. CONCLUSION: Elevated SII, indicative of systemic inflammation may serve as a significant biomarker in the diagnosis of CNLDO that does not resolve spontaneously and requires probing. SII > 200.9 acts as a threshold that aids in the diagnosis of persistent CNLDO. Being a valuable biomarker, SII can be used in monitoring patients with CNLDO and in identifying those who will require advanced treatment like probing. Prospective studies are essential to validate these findings.

Hyperferritinemia Screening to Aid Identification and Differentiation of Patients with Hyperinflammatory Disorders.

High ferritin is an important and sensitive biomarker for the various forms of hemophagocytic lymphohistiocytosis (HLH), a diverse and deadly group of cytokine storm syndromes. Early action to prevent immunopathology in HLH often includes empiric immunomodulation, which can complicate etiologic work-up and prevent collection of early/pre-treatment research samples. To address this, we instituted an alert system at UPMC Children's Hospital where serum ferritin > 1000 ng/mL triggered real-time chart review, assessment of whether the value reflected "inflammatory hyperferritnemia (IHF)", and biobanking of remnant samples from consenting IHF patients. We extracted relevant clinical data; periodically measured serum total IL-18, IL-18 binding protein (IL-18BP), and CXCL9; retrospectively classified patients by etiology into infectious, rheumatic, or immune dysregulation; and subjected a subgroup of samples to a 96-analyte biomarker screen. 180 patients were identified, 30.5% of which had IHF. Maximum ferritin levels were significantly higher in patients with IHF than with either hemoglobinopathy or transplant, and highly elevated total IL-18 levels were distinctive to patients with Stills Disease and/or Macrophage Activation Syndrome (MAS). Multi-analyte analysis showed elevation in proteins associated with cytotoxic lymphocytes in all IHF samples when compared to healthy controls and depression of proteins such as ANGPT1 and VEGFR2 in samples from hyperferritinemic sepsis patients relative to non-sepsis controls. This real-time IFH screen proved feasible and efficient, validated prior observations about the specificity of IL-18, enabled early sample collection from a complex population, suggested a unique vascular biomarker signature in hyperferritinemic sepsis, and expanded our understanding of IHF heterogeneity.

Prognostic role of systemic immune-inflammation index versus other cardiac markers in acute myocarditis in young adults.

Aim: Myocarditis, an inflammatory disease of the myocardium, can range from asymptomatic cases to severe forms such as fulminant myocarditis. The systemic immune-inflammation index (SII) has emerged as a potential biomarker for various inflammatory diseases. This study aimed to determine the effect of SII on the prognosis of young adults with acute myocarditis and compare it with other cardiac markers.Methods: We retrospectively analyzed patients aged 18-40 years who were admitted to the emergency department with a diagnosis of acute myocarditis between January 2014 and January 2024. Patients were divided into non-fulminant and fulminant myocarditis groups based on diagnostic criteria.Results: SII, troponin I and N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were significantly higher in the fulminant myocarditis group (p < 0.001 for all). Logistic regression analysis identified SII and NT-proBNP as independent predictors of fulminant myocarditis but not for troponin I (p = 0.064). The optimal cutoff value for SII in diagnosing fulminant myocarditis was 1020, with a sensitivity of 91% and specificity of 83%, outperforming troponin I. Patients with SII ≥1020 had a significantly higher risk of adverse outcomes.Conclusion: The SII enables early detection of adverse outcomes and is an independent predictor of prognosis in young adults with myocarditis.

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Associations between vitamin D status and biomarkers linked with inflammation in patients with asthma: a systematic review and meta-analysis of interventional and observational studies.

BACKGROUND: Numerous studies indicate an association between vitamin D status and inflammatory biomarkers in patients with asthma, but findings are inconsistent. This review aims to summarize the relationship between serum vitamin D status, assessed by 25-hydroxyvitamin D (25(OH)D) level, and inflammatory biomarkers in children and adults with asthma. METHODS: A literature search of interventional and observational studies on 25(OH)D up to November 2022 was conducted across six electronic databases. Outcomes of interest included a range of inflammatory biomarkers classified in four categories: T helper 2 (Th2) pro-inflammatory, non-Th2 pro-inflammatory, anti-inflammatory, and non-specific biomarkers. Study characteristics were extracted and risk of bias was evaluated using the American Academy of Nutrition and Dietetics tool. Meta-analysis was conducted on studies with a low risk of bias, while narrative reporting was used to present the direction of associations (positive, no association, or negative) for each biomarker, overall and within the low-risk studies. RESULTS: We included 71 studies (3 interventional, 68 observational) involving asthma patients. These studies investigated the association between serum 25(OH)D and Th2 pro-inflammatory biomarkers (N = 58), non-Th2 pro-inflammatory biomarkers (N = 18), anti-inflammatory biomarkers (N = 16), and non-specific biomarkers (N = 10). Thirteen (18.3%) studies, 50 (70.4%), and 8 (11.3%) were at high, moderate, and low risk of bias, respectively. In all studies, irrespective of risk of bias, the most frequently reported finding was no significant association, followed by a negative association between 25(OH)D and pro-inflammatory biomarkers and a positive association with anti-inflammatory biomarkers. In low-risk studies, one biomarker could be meta-analysed. The pooled estimate for 25(OH)D and serum IgE showed a negative association (ß (95% CI)= - 0.33 (-0.65 to - 0.01); I2 = 88%; N = 4 studies). A negative association between 25(OH)D and blood eosinophils was also observed in the largest of three studies, as well as with cathelicidin (LL-37) in the only study reporting it. For other biomarkers, most low-risk studies revealed no significant association with 25(OH)D. CONCLUSION: Serum 25(OH)D is negatively associated with serum IgE and possibly with blood eosinophils and LL-37, supporting an in vivo immunomodulatory effect of 25(OH)D. Future research should employ rigorous methodologies and standardized reporting for meta-analysis aggregation to further elucidate these associations.