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Connection between psychological holistic factor and life satisfaction in old age – propensity score methods

. Available at: https://internal.psychology.illinois.edu/~ediener/Documents/Scale%20of%20Positive%20and%20Negative%20Experience.pdf 33. Koistinen POI, Elo S, Ahlroth M, et al. OLDWELLACTIVE – A self-rated wellness profile for the assessment of wellbeing and wellness activity in older people. European Geriatric Medicine. 2013; 4(2): 82-85. doi: http://dx.doi.org/10.1016/j.eurger.2012.09.007 . 34. Rubin DB. Matched sampling for Causal Effects. New York: Cambridge University Press; 2006. 35. Rosenbaum PR, Rubin DB. The Central Role of the Propensity Score

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The number of PON1 mutant alleles, but not PON1 phenotype, is associated with Gensini score of coronary damage

-23 6. Gensini GG. A more meaningful scoring system for determining the severity of coronary heart disease. Am J Cardiol 1983; 51(3): 606. 7. Eckerson HW, Wyte CM, La Du BN. The human serum paraoxonase/arylesterase polymorphism. Am J Hum Genet 1983; 35(6): 1126-1138. 8. R Development Core Team. (2012). R (Version 2.15). Retrieved from www.r-project.org 9. Brophy VH, Jampsa RL, Clendenning JB, McKinstry LA, Jarvik JP, Furlong CE. Effets of 5’ regulatory region polymorphisms on paraoxonase-gene (PON1) expression. Am J Hum

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Correlations between the Harris Hip Score and the Visual Analogue Scale in the assessment of total hip replacement in hip dysplasia

change: the lesson of Cronbach. Journal of clinical epidemiology. 50(8), 869-879. 24. Hoeksma H.L., Van Den Ende C.H., Ronday H.K., Heering A. & Breedveld F.C. (2003). Comparison of the responsiveness of the Harris Hip Score with generic measures for hip function in osteoarthritis of the hip. Annals of the rheumatic diseases. 62(10), 935-938. 25. Guyatt G.H., Townsend M., Berman L.B. & Keller J.L. (1987). A comparison of Likert and visual analogue scales for measuring change in function. Journal of chronic diseases. 40(12), 1129

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Association Between Severity of Peripheral Artery Disease Angio CT-derived Coronary Syntax Score in Patients with Critical Limb Ischemia

Abstract

Introduction: Peripheral artery disease, a frequent consequence of atherosclerosis, is usually associated with concomitant ischaemic coronary artery disease and with a high rate of cardiovascular mortality.

Material and methods: The study population consisted of 24 patients, admitted to our clinic with peripheral artery disease, 10 of them with critical limb ischaemia. In all cases, cardiovascular risk factors, left ventricular dysfunction and ejection fraction were analyzed. Peripheral Multislice Angio CT examination was used to determine the TASC class and to assess the peripheral arterial lesions. The Coronary Calcium Score and the Syntax Score were determined with angio CT of the coronary arteries.

Results: Patients were between 39 and 84 years of age, and 54% were in Fontaine class 2B, 21% in Fontaine class 3 and 25% in Fontaine class 4. 12.5% of patients presented TASC class A, 33.3% TASC class B, and 54.2% TASC class C. Coronary Calcium Scores were between 0 and 100 in 16.6% of patients, between 100 and 400 in 41.8%, and >400 in 41.6% of patients. The SYNTAX Score was <22 in 54% of patients, between 22 and 32 in 37.5%, and >32 in 8.5% of patients. A significant correlation was found between the Coronary Calcium Score and the SYNTAX Score (r = 0.82, p = 0.03). The Syntax Score was 22.43 ± 3.2 in TASC A patients, 26.2 ± 5.4 in TASC B patients, 32.1 ± 2.3 in TASC C patients (p = 0.005).

Conclusions: The severity of coronary artery disease characterized by the Syntax Score, by the presence of left main stenosis and segmental left ventricular hypokinesis presents significant correlation with the severity of peripheral artery disease, characterized by the TASC classification.

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The role of cultural capital in producing good health: a propensity score study / Vpliv kulturnega kapitala na zdravje: študija nagnjenja

Statist Software 2011; 45: 1-67. 18. Steiner PM, Cook DL. Matching and propensity scores. In: Little TD, editor. The Oxford handbook of quantitative methods. New York: Oxford University Press, 2013. 19. Hansen BB, Klopfer SO. Optimal full matching and related designs via network flows. J Computat Graph Statist 2006; 15: 609-627. 20. Crompton R. Class and stratification: an introduction to current debates. Cambridge: Polity Press, 2004. 21. Kropivnik S, Luthar B. Class, cultural capital, and the mobile phone

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Genetic Parameters for Somatic Cell Count, Logscc and Somatic Cell Score of Breeds: Improved Valachian, Tsigai, Lacaune and their Crosses/Genetski Parametri Za Broj Somatskih Ćelija, Logscc I Skor Somatskih Ćelija Kod Rasa: Poboljšana Vlaška, Cigaja, Lakon I Njihovih Meleza

References 1. Haenlein GFW: About the evolution of goat and sheep milk production. Small Rumin Res 2007, 68:3-6. 2. Barillet F, Rupp R, Mignon-Grasteau S, Astruc JM, Jacquin M: Genetic analysis for mastitis resistance and milk somatic cell score in French Lacaune dairy sheep. Genet Sel Evol 2001a, 33:397-415. 3. Fernández G, Álvarez P, San Primitivo F, De la Fuente LF: Factors affecting variation of udder traits of dairy ewes. J Dairy Sci 1995, 78:842-849. 4. De la Fuente LF, Fernández G, San

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Enabling Customer-Centricity and Relationship Management using Net Promoter Score

Abstract

We are in the fifth era of marketing development, that of relationship marketing, where the environment is influenced by globalization, informatization, market liberalization, and the overcapacity of production, and the focus will be not on increasing the volume of production, but on obtaining profit using relationship with profitable customers. Customer-centricity, customization, one-to-one relationship and measuring the value of each customer is an advantage in the fearless market. Organizations if they knew what customers wants would offering only those products or services they want, but to help them to know the customers’ needs better, they use models, new methods and calculation of performance indicators. One of the models which help organizations to determine the customer value and centricity is Net Promoter Score (NPS), its formula being developed by Reichheld F. in 2006. Our research is made on 10 organizations and on 150 respondents and is consisting in using NPS in order to observe customers’ perception of the analysed brands, to measure how well the brand is having satisfayed and loyal customers, and the desire for recommendation of the analysed brand. Our article is using simulation, modeling and IT programs to observe possible relationships and future trends.

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Correlation of Serum and Synovial Osteocalcin, Osteoprotegerin and Tumor Necrosis Factor-Alpha with the Disease Severity Score in Knee Osteoarthritis

Abstract

Objectives: Study of circulating and synovial levels of osteocalcin, osteoprotegerin and tumor necrosis factor-alpha (TNF-α) in patients with different stages of knee osteoarthritis and correlation analysis of these parameters with disease severity.

Methods: We enrolled 20 patients with different stages of knee osteoarthritis. The IKDC score (International Knee Documentation Comittee, 2000) was determined for each patient. Based on these data patients were divided into two groups: group I (advanced osteoarthritis) and group II (early osteoarthritis). Serum and synovial fluid levels of osteocalcin, osteoprotegerin, TNF-α were determined.

Results: For the entire group the level of osteocalcin in the serum showed higher values than in the synovial fluid. We found statistically significant differences in the serum levels of osteocalcin between the two groups (group I: 2.18 ± 0.54 ng/ml, group II: 6.07 ± 1.98 ng/ml, p = 0.019). Serum and synovial osteocalcin in the whole study lot could not be correlated with the disease score, however we observed a tendency towards significant negative correlation between the serum osteocalcin and IKDC score for group I and between synovial osteocalcin and IKDC score in group II. In the entire group, synovial osteoprotegerin concentration was six times higher than the serum osteoprotegerin level (p <0.0001) and TNF-α showed higher circulating levels than local concentrations.

Conclusions: In the advanced osteoarthritis group the serum and synovial osteocalcin show lower values than in the early osteoarthritis group, which means that as the disease progresses, bone anabolism decreases. In the case of osteoprotegerin, no significant difference between the two groups was detected.

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Doppler ultrasound for diagnosis of soft tissue sarcoma: efficacy of ultrasound-based screening score

Abstract

Background. The utility of ultrasound imaging in the screening of soft-part tumours (SPTs) has been reported. We classified SPTs according to their blood flow pattern on Doppler ultrasound and re-evaluated the efficacy of this imaging modality as a screening method. Additionally, we combined Doppler ultrasound with several values to improve the diagnostic efficacy and to establish a new diagnostic tool.

Patients and methods. This study included 189 cases of pathologically confirmed SPTs (122 cases of benign disease including SPTs and tumour-like lesions and 67 cases of malignant SPTs). Ultrasound imaging included evaluation of vascularity by colour Doppler. We established a scoring system to more effectively differentiate malignant from benign SPTs (ultrasound-based sarcoma screening [USS] score).

Results. The mean scores in the benign and malignant groups were 1.47 ± 0.93 and 3.42 ± 1.30, respectively. Patients with malignant masses showed significantly higher USS scores than did those with benign masses (p < 1 × 10-10). The area under the curve was 0.88 by receiver operating characteristic (ROC) analysis. Based on the cut-off value (3 points) calculated by ROC curve analysis, the sensitivity and specificity for a diagnosis of malignant SPT was 85.1% and 86.9%, respectively.

Conclusions. Assessment of vascularity by Doppler ultrasound alone is insufficient for differentiation between benign and malignant SPTs. Preoperative diagnosis of most SPTs is possible by combining our USS score with characteristic clinical and magnetic resonance imaging findings.

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A New Marker to Determine Prognosis of Acute Pancreatitis: PLR and NLR Combination

pancreatitis--2012: revision of the Atlanta classification and definitions by international consensus. Gut 2013; 62: 102-11. 5. Larvin M, McMahon MJ. APACHE-II score for assessment and monitoring of acute pancreatitis. Lancet 1989; 2: 201-5. 6. Wu BU, Johannes RS, Sun X, Tabak Y, Conwell DL, Banks PA. The early prediction of mortality in acute pancreatitis: a large population-based study. Gut 2008; 57: 1698-703. 7. Aliustaoglu M, Bilici A, Ustaalioglu BB, et al. The effect of peripheral blood values on prognosis of patients

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