Obesity causes subclinical inflammation. Leukocyte count and high-sensitivity C-reactive protein (hs-CRP) are used to indicate inflammation in clinical practice. Also, inflammatory markers are ...evaluated as important indicators of cardiovascular risk in patients with obesity and metabolic syndrome (MetS). We aimed to investigate the usage of the neutrophil-lymphocyte ratio (NLR) as an inflammatory marker in obese patients with and without MetS.
The study included a total of 1267 patients. The patients were assigned groups according to degree of obesity and status of MetS. Metabolic and inflammatory markers were compared between groups, and correlation analysis was performed.
Leukocyte count and hs-CRP were significantly different (p<0.001), but NLR was not different between body mass index (BMI) groups (p=0.168). Both lymphocyte and neutrophil counts were significantly increased with increased degree of obesity (p<0.001, p=0.028, respectively). Leukocyte, neutrophil, and lymphocyte counts and hs-CRP level showed a significant correlation with BMI (r=0.198, p<0.001; r=0.163, p<0.001; r=0.167, p<0.001; r=0.445, p<0.001, respectively), whereas NLR was not correlated with BMI (r=0.017, p=0.737). Only a significant association between a MetS severity of 5 and 4 with hs-CRP level was observed (p=0.028), whereas there was no statistically significant association for leukocyte count and NLR (p=0.246; p=0.643, respectively).
NLR was not a good indicator of inflammation, while leukocyte and hs-CRP were more useful biomarkers to indicate inflammation in non-diabetic patients with obesity and MetS.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Primary care providers are uniquely positioned to initiate smoking cessation. We aimed to evaluate knowledge levels about the health effects of smoking and attitudes toward smoking and tobacco ...control activities among primary care providers.
In the cross-sectional and primary care-based study, self-administered surveys modified from the WHO Global Health Professional Survey 5A steps of smoking cessation practice (Ask, Advise, Assess, Assist and Arrange) were provided to primary care physicians (PCPhs) and nurses (PCNs).
Respondents included 1182 PCPhs and 1063 PCNs. The proportions of current and former smokers were significantly higher among PCPhs than among PCNs (34.4 vs. 30.7 % and 14.0 vs. 10.1 %, respectively; both P < 0.001). We observed that 77.2 % of PCPhs and 58.4 % of PCNs always or rarely practiced an "Ask" step about their patients' smoking status (P < 0.001). One-third of PCPhs (33.8 %) stated that they always practiced an "Ask" step, whereas only 27.6 % of PCNs always did so in their practice (P < 0.001). A small minority of primary care providers had advised patients to quit smoking, although there was a significant difference in this between PCNs and PCPhs (8.4 vs. 15.6 %; P < 0.001). Most PCPhs considered themselves competent in advising about smoking interventions, but only a minority of PCNs did so (75.1 vs. 17.3 %; P < 0.001). Among barriers to tobacco intervention measures, lack of time was the item most commonly cited by PCPhs, whereas low patient priority was most commonly cited by PCNs (35.9 and 35.7 %; P < 0.001).
Smoking intervention practice by primary care nurses was quite low. Lack of time and low patient priority were identified as barriers by primary care providers. Strategies by which primary care providers could improve tobacco control should be established.
Metabolic syndrome is a cluster of disorders and great risk for cardiovascular diseases. We aimed to investigate association between severity of metabolic syndrome (MetS) and anthropometric ...measurements, and to evaluate correlation of MetS and its components with metabolic deterioration and inflammatory indexes. The cross-sectional study enrolled 1474 patients with obesity and overweight. The patients were grouped as MetS and Non-MetS, and were sub-grouped as group 1 (three criteria), 2 (four criteria) and 3 (≥ five criteria) according to NCEP ATP III. Mean age was 38.7 ± 11.9 years and BMI was 35.1 ± 6.3 kg/m(2). Lipid profile, anthropometric and blood pressure measurements, liver function tests, bioelectric impedance body fat compositions, insulin resistance and HbA1c, and spot urinary albumin-creatinine ratio were significantly different between groups of MetS and Non-MetS. Age, lipid profile, bioelectric impedance fat analyses, BMI, blood pressure values, glucose, insulin resistance, uric acid and hs-CRP levels were significantly different between groups of MetS component groups. ROC analysis revealed that hs-CRP was found to be more predictive for severity of metabolic syndrome components 3 and 4 (P=0.030); uric acid and visceral fat were more actual to predict severity of metabolic syndrome between 3 and 5 MetS components, (P=0.006) and uric acid was detected as more actual to predict severity of MetS between 4 and 5 components (P=0.023). In conclusion, uric acid, hs-CRP and visceral body fat composition were useful to predict to severity of MetS in primary care.
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