ABSTRACT
Background@#Cellulitis is an inflammatory disease of the skin and subcutaneous tissue caused by bacterial infection and is one of the most common reasons for admission to the Department of Dermatology. There are many biomarkers to help diagnose inflammatory diseases, and the neutrophil-to-lymphocyte ratio (NLR) has recently been raised as an option. @*Objective@#This study aimed to evaluate the efficacy of pretreatment NLR for predicting the severity and prognosis of cellulitis. @*Methods@#We reviewed the medical records of 102 patients diagnosed with cellulitis over the past 5 years. White blood cell count, erythrocyte sedimentation rate, C-reactive protein (CRP) level, procalcitonin level, and NLR were measured on the first day of admission. The associations of CRP, procalcitonin, and NLR ratio with body temperature and number of hospitalization days were assessed. @*Results@#The CRP level and NLR were positively correlated with body temperature. In addition, positive correlations were found between the number of hospitalization days and biomarkers (p＜0.05), with the NLR showing the highest coefficients. @*Conclusion@#In patients with cellulitis, the NLR is a helpful parameter for evaluating the severity and prognosis of the disease. However, further studies are required to confirm this.
ABSTRACT
Background/Aims@#Neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) can serve as biomarkers for diagnosing and assessing disease activity in ulcerative colitis (UC). We investigated their clinical significance in UC. @*Methods@#We analyzed 48 patients with UC who underwent measurement of fecal calprotectin (FC) and endoscopy and 96 age- and sex-matched healthy controls. NLR and PLR were compared between the patients and healthy controls. The endoscopic activity was divided into 2 groups: group 1 (mild to moderate inflammation) and group 2 (severe inflammation) according to the Mayo endoscopic subscore in UC. @*Results@#To diagnose UC, the optimal cutoff of NLR and PLR was 2.26 (sensitivity 54.2%; specificity 90.6%; positive likelihood ratio 5.778, 95% confidence interval [CI] 2.944–11.339; area under the curve [AUC] 0.774, 95% CI, 0.690–0.859) and 179.8 (sensitivity 35.4%; specificity 90.6%; positive likelihood ratio 3.778, 95% CI 1.821–7.838; AUC 0.654, 95% CI 0.556–0.753), respectively. The optimal cutoff to differentiate group 1 and group 2 was 3.44, 175.9, and 453 µg/g for NLR, PLR, and FC, respectively (sensitivity, 63.6% vs. 90.9% vs. 81.8%; specificity, 81.1% vs. 78.4% vs. 73.0%; positive likelihood ratio, 3.364 vs. 4.205 vs. 3.027; AUC, 0.714 vs. 0.897 vs. 0.813). PLR had the highest AUC and positive likelihood ratio. @*Conclusions@#NLR and PLR help differentiate patients with UC from healthy controls. NLR, PLR, and FC indicate endoscopic activity and may reflect intestinal mucosal conditions.
ABSTRACT
BACKGROUND/AIMS: The present study aimed to investigate the associations between a change in body weight from 20 years of age to the present with insulin resistance and several parameters of metabolic syndrome in individuals at an increased risk of diabetes. METHODS: From patients with a diagnosis related to an increased risk of diabetes who were examined at our endocrinology clinic from January 2012 to December 2014, the present study recruited 125 individuals between 30 and 64 years of age with hemoglobin A1c levels from 5.7 to 6.4%. The change in body weight of each patient from 20 years of age to the present was retrospectively determined, and the associations of this change with insulin resistance and several parameters of metabolic syndrome were analyzed. RESULTS: The average gain in body weight after 20 years of age was 11.3 kg and there was no significance difference between the male and female patients. The proportion of overweight and obese patients at 20 years of age was 14%, but was 74% at the time of the visits to our endocrinology clinic. A change in body weight was significantly correlated with body mass index, insulin resistance, and waist circumference. Additionally, as the tertile of change in body weight increased, fasting insulin levels, insulin resistance, and the prevalence of abdominal obesity significantly increased. CONCLUSIONS: In the present study, an increase in body weight from 20 years of age to the present was correlated with insulin resistance and several parameters of metabolic syndrome in individuals at an increased risk of diabetes.
Subject(s)
Female , Humans , Male , Body Mass Index , Body Weight , Diagnosis , Endocrinology , Fasting , Insulin Resistance , Insulin , Obesity , Obesity, Abdominal , Overweight , Prevalence , Retrospective Studies , Waist CircumferenceABSTRACT
No abstract available.