Comparison of Different Anthropometric Measurements and Inflammatory Biomarkers

Introduction. Different anthropometric variables have been shown to be related to cardiovascular morbidity and mortality. Our aim was to compare the association between different anthropometric measurements and inflammatory status. Methods and results. A cross-sectional study design in which we analyzed the data collected during a five-year period in the Tel Aviv Medical Center Inflammation Survey (TAMCIS). Included in the study were 13,033 apparently healthy individuals at a mean (SD) age of 43. Of these, 8,292 were male and 4,741 female. A significant age-adjusted and multiple-adjusted partial correlation was noted between all anthropometric measurements and all inflammatory biomarkers. There was no significant difference in the correlation coefficients between different biomarkers and anthropometric variables. Conclusion. Most of the common used anthropometric variables are similarly correlated with inflammatory variables. The clinician can choose the variable that he/she finds easiest to use

Waist circumference as the predominant contributor to the micro-inflammatory response in the metabolic syndrome: a cross sectional study

<p>Abstract</p> <p>Background</p> <p>The metabolic syndrome (MetS) is associated with the presence of low grade inflammation. Our aim was to analyze the inter-relations between each of the components of the metabolic syndrome (MetS) and four inflammatory markers, namely high sensitivity C-reactive protein (hs-CRP), the erythrocyte sedimentation rate, the concentration of fibrinogen and the white blood cell count.</p> <p>Methods</p> <p>We have analyzed data collected between September 2002 and June 2009 in the Tel-Aviv medical center inflammation survey (TAMCIS). We recruited both apparently healthy individuals and individuals presenting with atherothrombotic risk factors. All participants were enrolled during their routine annual health check-up and gave their written informed consent. This is a cross sectional study in which we have fitted linear regression models using inflammatory markers as the dependant variables and adjust them according to the different components of the MetS and multiple other confounders.</p> <p>Results</p> <p>Included were 12,072 individuals of whom there were 7,760 men at a mean (S.D.) age of 44 (11) years, and 4,312 women aged 44 (11) years. A significant correlation was noted between most components of the MetS and all inflammatory markers, the most significant one being with hs-CRP. In the multi-adjusted regression analysis, waist was the factor that best explained the variability of hs-CRP, in both women and men. It also remained a significant variable for the other inflammatory markers.</p> <p>Conclusions</p> <p>From amongst the various components of the MetS, waist circumference appears to exert the most influence upon the presence and intensity of the micro-inflammatory response.</p

Platelet Counts and Platelet Activation Markers in Obese Subjects

Objective. In this work we studied the correlation between platelet count, platelet activation, and systemic inflammation in overweight, obese, and morbidly obese individuals. Methods and subjects. A total of 6319 individuals participated in the study. Complete blood counts, high sensitivity C-reactive protein (hs-CRP) serum levels, and body mass index (BMI) were measured during routine checkups. Platelet activation markers were studied among 30 obese (BMI = 41 ± 8 kg/m2) and 35 nonobese (BMI = 24 ± 3 kg/m2) individuals. Platelet activation status was evaluated by flow cytometry using specific antibodies against the activated platelet membrane glycoprotein IIb/IIIa, p-selectin (CD-62 p), and binding of Annexin-V to platelet anionic phospholipids. Results. Overweight, obese, and morbidly obese females had significantly elevated platelet counts ( P < .0001) compared with normal-weight females. No significant elevation of platelet counts was observed in the male subgroups. A significant age adjusted correlation between BMI and platelet counts ( P < .0001) was found among females. This correlation was attenuated (P = .001) after adjustment for hs-CRP concentrations. The flow cytometry analysis of platelets showed no significant differences in activation marker expression between nonobese and obese individuals. Discussion. Obesity may be associated with elevated platelet counts in females with chronic inflammation. Obesity is not associated with increased platelet activation

Analyzing Non-Alcoholic Fatty Liver Disease Risk Using Time-Series Model

Non-alcoholic fatty liver disease (NAFLD) is the most global frequent liver disease, with a prevalence of almost 20% in the overall population. NAFLD may progress to fibrosis and later into cirrhosis in addition to other diseases. Our objective is to stratify patients\u27 risks for NAFLD and advanced fibrosis over time and suggest preventive medical decisions. We used a cohort of individuals from the Tel-Aviv medical center. Time-series clustering machine learning model (Hidden Markov Models (HMM)) was used to profile fibrosis risk by modeling patients’ latent medical status and trajectories over time. The best-fitting model had three latent HMM states. Initial results show that tracking individuals over time and their relative risk for fibrosis at each point of time provides significant clinical insights regarding each state (and its group of individuals). Thus, longitudinal risk stratification can enable the early identification of specific individual groups following distinct medical trajectories based on their routine visits

C-reactive protein serum levels as an early predictor of outcome in patients with pandemic H1N1 influenza A virus infection

<p>Abstract</p> <p>Background</p> <p>Data for predicting which patients with pandemic influenza A (H1N1) infection are likely to run a complicated course are sparse. We retrospectively studied whether the admission serum C-reactive protein (CRP) levels can serve as a predictor of illness severity.</p> <p>Methods</p> <p>Included were all consecutive adult patients who presented to the emergency department (ED) between May-December, 2009 with a flu-like illness, a confirmed diagnosis of pandemic influenza A (H1N1) infection and a serum CRP level measured within 24 hours of presentation. Patients with a proven additional concurrent acute illness (e.g., bacteremia) were excluded. We used the ROC curve analysis, Kaplan-Meier curves and the Cox proportional hazard model to evaluate the predictive ability of CRP as a prognostic factor.</p> <p>Results</p> <p>Seventeen (9%) of the 191 enrolled patients were admitted to the intensive care unit (ICU), of whom eight (4%) required mechanical ventilation and three (2%) died. The median admission serum CRP levels were significantly higher among patients who required subsequent ICU care and mechanical ventilation than among patients who did not (123 mg/L and 112 mg/L vs. 40 mg/L, <it>p </it>< .001 and 43 mg/L, <it>p </it>= .017, respectively). A Cox proportional hazard model identified admission serum CRP levels and auscultatory findings over the lungs as independent prognostic factors for ICU admission. Admission serum CRP levels were the only independent prognostic factor for mechanical ventilation. Thirty days after presenting to the ED, none of the patients with admission serum CRP level <28 mg/L (lower tertile) required either ICU admission or mechanical ventilation. At the same time point, 19% of the patients with admission serum CRP level ≥70 mg/L (upper tertile) needed to be admitted to the ICU and 8% of the same upper tertile group required mechanical ventilation. The differences in the rates between the lower vs. upper tertile groups were significant (Log-Rank <it>p </it>< .001 for ICU and <it>p </it>< .024 for mechanical ventilation).</p> <p>Conclusions</p> <p>In our study group, serum CRP levels obtained in the early ED admission stage from patients presenting with pandemic H1N1 influenza A infection were found to serve as a useful gauge for predicting disease course and assisting in patient management.</p

Risk factors for the development of macular edema in children with uveitis

AimTo determine the risk factors for macular edema (ME) in children with uveitis.MethodsA retrospective study was conducted of 150 pediatric patients (264 eyes) with uveitis attending 2 tertiary medical centers. Data were collected from the medical files on demographics, type of uveitis, etiology, clinical findings, treatment, and time to development of ME. Risk factors for the development of ME were identified.ResultsME developed in 63 eyes (23.9%) over a mean period of 15.3 ± 2.95 months from diagnosis of uveitis, at a rate of 0.08 eyes per eye-year. On univariate analysis, risk factors for the development of ME were the non-anterior location of the inflammation (p=0.002), band keratopathy (p &lt;0.0001), posterior synechiae (p=0.003), cataract (p=0.002), and vision impairment at presentation (p &lt;0.0001). On multivariate analysis, non-anterior uveitis, which includes intermediate, pan, and posterior-uveitis, and vision impairment retained significance as independent risk factors of ME.ConclusionWithin the pediatric population with uveitis, non-anterior location is associated with the highest risk of ME, followed by the presence of complications, such as band keratopathy and posterior synechiae. These findings indicate a need for close follow-up in children with uveitis for early detection of ME

Total serum cholinesterase activity predicts hemodynamic changes during exercise and associates with cardiac troponin detection in a sex-dependent manner.

BACKGROUND: Imbalanced autonomic nervous system (ANS) activity is associated with poor cardiovascular outcome. However, clinically validated biomarkers to assess parasympathetic function are not yet available. We sought to evaluate parasympathetic dysfunction by measuring serum cholinesterase activity and to determine its relationship to high sensitive cardiac troponin T (hs-cTnT) as well as traditional non-invasive parameters of ANS function during exercise in apparently healthy individuals. METHODS: We enrolled 1526 individuals (mean age 49 ± 11 yr., 75% men) from the Tel Aviv Medical Center Inflammation Survey (TAMCIS). We used the acetylcholine (ACh) analog acetylthiocholine (ATCh) as a substrate that is hydrolyzed by both ACh degrading enzymes and reflects the total serum capacity for acetylcholine hydrolysis, referred to as cholinergic status (CS). All subjects performed a cardiac stress test reviewed on the spot by a cardiologist and multiple physiological and metabolic parameters including hs-cTnT were measured. RESULTS: CS values at rest predicted multiple exercise-hemodynamic changes. Heart rate recovery after exercise was inversely correlated to CS values (p  5 ng/L) presented with elevated CS levels compared to women with undetectable levels; 1423 ± 272.5 vs 1347 ± 297.9 (p = 0.02). An opposite trend was observed in men. Metabolic dysfunction parameters were also associated with CS elevation in both men and women. CONCLUSIONS: Parasympathetic dysfunction assessed by total serum cholinesterase activity predicts hemodynamic changes during exercise. CS is also associated with hs-cTnT detection in women and inversely so in men. Future studies to assess the potential clinical use of this new sex-specific biomarker in cardiovascular disease risk stratification are warranted

Association of components of the metabolic syndrome with the appearance of aggregated red blood cells in the peripheral blood. An unfavorable hemorheological finding

Abstract Background Components of the metabolic syndrome are associated with low-grade inflammation. This can be accompanied by the synthesis of sticky proteins and erythrocyte aggregation

Comparison of Different Anthropometric Measurements and Inflammatory Biomarkers

Introduction. Different anthropometric variables have been shown to be related to cardiovascular morbidity and mortality. Our aim was to compare the association between different anthropometric measurements and inflammatory status. Methods and results. A cross-sectional study design in which we analyzed the data collected during a five-year period in the Tel Aviv Medical Center Inflammation Survey (TAMCIS). Included in the study were 13,033 apparently healthy individuals at a mean (SD) age of 43. Of these, 8,292 were male and 4,741 female. A significant age-adjusted and multiple-adjusted partial correlation was noted between all anthropometric measurements and all inflammatory biomarkers. There was no significant difference in the correlation coefficients between different biomarkers and anthropometric variables. Conclusion. Most of the common used anthropometric variables are similarly correlated with inflammatory variables. The clinician can choose the variable that he/she finds easiest to use