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Role of Duke treadmill score in the diagnosis of ischemic heart disease in women

-80. 19. ALEXANDER KP, SHAW LJ, SHAW LK, DELONG ER, MARK DB, PETERSON ED. Value of exercise treadmill testing in women . J Am Coll Cardiol. 1998; 32 :1657-64. 20. KLIGFIELD P, LAUER MS. Exercise electrocardiogram testing: beyond the ST segment. Circulation. 2006; 114 :2070–2082. 21. MARK DB, SHAW L, HARRELL FE JR, LEE KL, BENGTSON JR, MCCANTS CB, et al. Prognostic value of a treadmill exercise score in outpatients with suspected coronary artery disease. N Engl J Med. 1991; 325 :849–853. 22. GULATI M, ARNSDORF MF, SHAW LJ, PANDEY DK, THISTED RA

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Serum ghrelin level is associated with cardiovascular risk score

Abstract

Ghrelin, a newly discovered bioactive peptide, was originally reported to induce growth hormone release. Recent studies have shown beneficial hemodynamic effects of ghrelin in the cardiovascular system to support the wide distribution of its receptors in cardiovascular tissues. The aim of the study was to determine whether cardiovascular risk factors influence plasma ghrelin levels.

Methods. We evaluated in the Rehabilitation Hospital Cluj-Napoca, Cardiology - Department 88 consecutive subjects, 65 (73.86%) being women, with mean age 61.7±10.33 years. We assessed the presence of cardiovascular risk factors (obesity, arterial hypertension, diabetes mellitus, metabolic syndrome, smoking and lipid fractions). Plasma ghrelin levels were determined with a commercial ELISA kit (pg/ml).

Results. After the evaluation of cardiovascular risk factors, we found no statistically significant difference between ghrelin levels in the patients with vs those without cardiovascular risk factors (p>0.05). A negative correlation was found between ghrelin levels and age, r = −0.32 (p <0.05). Using the HeartScore Internet tool we calculated the cardiovascular risk for each patient according to the risk score system (SCORE) for high cardiovascular risk countries. Statistically, the risk of fatal cardiovascular events in the next 10 years was indirectly correlated with the ghrelin levels in each patient - correlation between ghrelin levels and SCORE system r=−0.25, p=0.015. In conclusion, low serum ghrelin concentrations are associated with an increased global cardiovascular risk, calculated based on the European SCORE scale. However, we could not demonstrate a direct relationship between any of the major risk factors and ghrelin.

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Comparison of three risk Scores to predict outcomes in upper gastrointestinal bleeding; modifying Glasgow Blatchford with Albumin

REFERENCES 1. SALTZMAN JR., TABAK YP., HYETT BH., SUN X., TRAVIS AC., JOHANNES RS. A simple risk score accurately predicts in-hospital mortality, length of stay, and cost in acute upper GI bleeding. Gastrointest Endosc. 2011;74(6):1215-24. 2. WADDELL KM., STANLEY AJ. Risk assessment scores for patients with upper gastrointestinal bleeding and their use in clinical practice. Hosp Pract(1995). 2015;43(5):290-8. 3. TAKATORI Y., KATO M., SUNATA Y., HIRAI Y., KUBOSAWA Y., ABE K., et al. The Role of History of Gastro-Duodenal Ulcer in Patients with

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Different effects of anti-TNF-alpha biologic drugs on the small bowel macroscopic inflammation in patients with ankylosing spondylitis

.A., LEGNANI P., LEWIS B.S. Development of a capsule endoscopy scoring index for small bowel mucosal inflammatory change . Aliment Pharmacol Ther. 2008; 27( 2 ):146-54. 20. ORLANDO A., RENNA S., PERRICONE G., COTTONE M. Gastrointestinal lesions associated with spondyloarthropathies . World J Gastroenterol. 2009; 15( 20 ):2443-8. 21. DE KEYSER F., BAETEN D., VAN DEN BOSCH F., DE VOS M., CUVELIER C., MIELANTS H., et al . Gut inflammation and spondyloarthropathies . Curr Rheumatol Rep. 2002; 4( 6 ):525-32. 22. MIELANTS H., DE KEYSER F., BAETEN D., VAN DEN

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Metabolic and bone profile in postmenopausal women with and without type 2 diabetes: a cross-sectional study

ML. Effect of type 2 diabetes-related non-enzymatic glycation on bone biomechanical properties . Bone. 2016; 82 :21-27. 19. SUNDARARAGHAVAN V, MAZUR MM, EVANS B, LIU J, EBRAHEIM NA. Diabetes and bone health: latest evidence and clinical implications . Therapeutic Advances in Musculoskeletal Disease. (2017); 9 (3):67-74. 20. DUMITRU N., CARSOTE M., COCOLOS A., GHEMIGIAN A. Glucose metabolism indices and Trabecular Bone Score in type 2 diabetes mellitus women . 4th International Conference on Interdisciplinary Management of Diabetes Mellitus and its

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Correlation between neutrophil-to-lymphocyte ratio and severity scores in septic patients upon hospital admission. A series of 50 patients

REFERENCES 1. STEVENSON EK, RUBENSTEIN AR, RADIN GT, WIENER RS, WALKEY AJ. Two decades of mortality trends among patients with severe sepsis: a comparative meta-analysis *. Crit Care Med 2014; 42 : 625-31. 2. KNAUS WA, DRAPER EA, WAGNER DP, ZIMMERMAN JE. APACHE II: a severity of disease classification system . Crit Care Med 1985; 13 : 818-29. 3. VINCENT JL, MORENO R, TAKALA J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of

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A prospective study of hospitalized patients with leukemoid reaction; causes, prognosis and value of manual peripheral smear review

setting . Rom J Intern Med. 2018;10.2478/rjim-2018-0039 14. VELISSARIS D., PANTZARIS N.D., BOUNTOURIS P., GOGOS C. Correlation between neutrophil-to-lymphocyte ratio and severity scores in septic patients upon hospital admission. A series of 50 patients . Rom J Intern Med. 2018; 56 (3):153-57.

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The Relationship between Hepatic Steatosis, inflammation and insulin Resistance in type 2 Diabetes with Metabolic Imbalance

. Diabetes Care, 2004; 27(6):1487-1495. DOI: 10.2337/diacare.27.6.1487 10. “Fatty Liver Index - Mdcalc”. Mdcalc.Com, Available from: https://www.mdcalc.com/fatty-liver-index (accessed at 28 December 2018) 11. “Hepatic Steatosis Index (HSI) Calculator”. Available from: https://www.mdapp.co/hepatic-steatosis-index-hsi-calculator-357/ (accessed at 28 December 2018) 12. “Non-Alcoholic Fatty Liver Disease - Liver Fat Score (NAFLD-LFS) Calculator”. Available from: https://www.mdapp.co/non-alcoholic-fatty-liver-disease-liver-fat-score

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Medical evaluation and management of male and female voiding dysfunction: a review

-302. 61. KUO, H.C., Videourodynamic characteristics and lower urinary tract symptoms of female bladder outlet obstruction. Urology, 2005. 66 (5): p. 1005-9. 62. AKBAL, C., et al ., Dysfunctional voiding and incontinence scoring system: quantitative evaluation of incontinence symptoms in pediatric population. J Urol, 2005. 173 (3): p. 969-73. 63. AFSHAR, K., et al ., Development of a symptom score for dysfunctional elimination syndrome. J Urol, 2009. 182 (4 Suppl): p. 1939-43. 64. SINHA, S., Dysfunctional voiding: A review of the terminology

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A quality of life assessment and the correlation between generic and disease-specific questionnaires scores in outpatients with chronic liver disease-pilot study

Abstract

Introduction. Chronic liver diseases (CLD) are an important cause of morbidity and mortality in general population. The aim of this study was to analyze potential differences between patients with CLD and healthy control group, and to estimate the severity of CLD by using simple questionnaires: general health questionnaire (GHQ-12) and chronic liver disease questionnaire (CLDQ). Methods. A cross-sectional pilot study was performed in Zemun Clinical Hospital during years 2014 and 2015. Sixty participants were divided into 4 groups (15 per group): chronic alcoholic hepatitis, other chronic hepatitis, liver cirrhosis, and healthy control group. Entire study population chose one of four offered answers of structured questionnaires GHQ-12 and CLDQ, based on which mean model of end-stage liver disease (MELD) and Child-Turcotte-Pugh (CTP) scores were calculated. Results. Mean GHQ12 and CLDQ scores were 10.5 and 5.21 ± 1.11 respectively. Regarding certain CLDQ domain scores, a significant difference between alcoholic and non-alcoholic hepatitis groups in the worry domain was observed. Mean MELD score was 7.42 ± 2.89 and did not differ between chronic hepatitis groups, while mean CTP score was 5.73 ± 0.88. A statistically significant correlation was observed between GHQ12 and CLDQ scores (ρ = -0.404, p < 0.01), but not between subjective and objective scores. Conclusions. Mean GHQ12 and CLDQ scores pointed out to general psychological no-distress condition of the studied participants, as well as scarcely expressed CLD-specific complaints. Mean MELD and CTP scores indicated stable chronic liver diseases, with low three-month mortality rates in the cases of chronic hepatitis, as well as determination to Child A group in the case of liver cirrhosis.

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