Krystyna Łoboz-Grudzień

Cross-cultural adaptation and reliability testing of the Tilburg Frailty Indicator for optimizing care of Polish patients with frailty syndrome

Background Frail older people are at high risk of developing adverse outcomes, such as disability, mortality, hospitalization, and institutionalization. Previous research suggests that the Tilburg Frailty Indicator (TFI) is a valid and reliable instrument for measuring frailty. The aim of this study was to adapt and to test the reliability of the Polish version of the TFI. Method A standard guideline was used for translation and cultural adaptation of the English version of the TFI into Polish. The study included 100 Polish patients (mean age 68.2±6.5 years), among them 42 men and 58 women. Cronbach’s alpha was used for analysis of the internal consistency of the TFI. Results The mean total TFI score was 6.7±3.1. Forty patients scored ≥5, which corresponded to being frail. Cronbach’s alpha reliability coefficients of the instrument ranged from 0.68 to 0.72 and item-total correlation ranged from 0.12 to 0.52. Conclusion The TFI is valid and reproducible for assessment of frailty syndrome among a Polish population. The Polish adaptation of the TFI proved a useful and fast tool for assessing frailty.

Frailty Syndrome in cardiovascular disease: Clinical significance and research tools

Frailty Syndrome is one of the key health problems in geriatrics, strongly affecting poor prognosis. There is a growing interest in the relevance of this syndrome in cardiovascular disease. The diagnosis of Frailty Syndrome in the elderly cardiac population is essential for an accurate risk stratification and for making therapeutic decisions. Most risk assessment systems used in cardiology are based on chronological age, which does not always reflect the biological age of a patient, therefore making an inadequate risk estimation. This paper discusses the definitions of Frailty Syndrome and research tools used to identify it. We specifically address the role of Frailty Syndrome in cardiovascular disease and the diagnostic and therapeutic difficulties in patients with Frailty Syndrome, emphasizing the role of the identification of Frailty Syndrome in making therapeutic decisions and the stratification of cardiovascular risk in patients with cardiologic conditions.

Frailty in patients with acute coronary syndrome: comparison between tools for comprehensive geriatric assessment and the Tilburg Frailty Indicator

Purpose It is a known fact that age is a strong predictor of adverse events in acute coronary syndrome (ACS). In this context, the main risk factor in elderly patients, ie, frailty syndrome, gains special importance. The availability of tools to identify frail people is relevant for both research and clinical purposes. The purpose of this study was to investigate the correlation of a scale for assessing frailty – the Tilburg Frailty Indicator (TFI) and its domains (mental and physical) – with other research tools commonly used for comprehensive geriatric assessment in patients with ACS. Patients and methods The study covered 135 people and was carried out in the cardiology ward at T Marciniak Lower Silesian Specialist Hospital in Wroclaw, Poland. The patients were admitted with ACS. ST segment elevation myocardial infarction and non-ST segment elevation myocardial infarction were defined by the presence of certain conditions in reference to the literature. The Polish adaptation of the TFI was used for the frailty syndrome assessment, which was compared to other single measures used in geriatric assessment: the Mini-Mental State Examination (MMSE), the Hospital Anxiety and Depression Scale (HADS), and Katz Index of Independence in Activities of Daily Living (ADLs). Results The mean TFI value in the studied group amounted to 7.13±2.81 (median: 7, interquartile range: 5–9, range [0, 14]). Significant correlations were demonstrated between the values of the TFI and other scales: positive for HADS (r=0.602, P<0.001) and the reverse for MMSE (r=−0.603, P<0.001) and IADL (r=−0.462, P<0.001). Patients with a TFI score ≥5 revealed considerably higher values on HADS (P<0.001) and considerably lower values on the MMSE (P<0.001) and IADL scales (P=0.001). Conclusion The results for the TFI comply with the results of other scales (MMSE, HADS, ADL, IADL), which confirm the credibility of the Polish adaptation of the tool. Stronger correlations were observed for mental components and the mental scales turned out to be independently related to the TFI in a multidimensional analysis.

Relationship between vascular age and classic cardiovascular risk factors and arterial stiffness

BACKGROUND We aimed at establishing if the substitution of vascular age (VA) for chronological age (CA) causes a change in the Framingham Risk Score (FRS) categories. Sex differences in predictors of increased VA among cardiovascular (CV) risk factors and arterial stiffness (AS) parameters were identifi ed. METHODS In 187 asymptomatic subjects with CV risk factors, classifi ed into 3 FRS categories the VA was derived from the nomograms of the carotid intima-media thickness. Two groups: 1 - subjects whose VA has exceeded CA for at least 5 years and 2 - others were established. Carotid AS parameters were obtained from echo-tracking. RESULTS Substitution of VA for CA changed the FRS category into the higher one in 11.8% of subjects. Diabetes mellitus (DM) was the predictor of increased VA in both sexes, while metabolic syndrome (MS) only in women. The cut-off values of AS parameters that allow for prediction of increased VA were determined from the ROC-curve analysis - in men: b > 7.3, Ep > 103 kPa, AC < 0.61 mm2/kPa after adjustment for DM, BMI > 29.1 kg/m2, WHR > 0.85 and CA > 51 years; in women: b > 9.6, Ep > 126 kPa, AC < 0.75 mm2/kPa, PWV-b > 7.4 m/s after adjustment for DM, BMI > 25.8 kg/m2, WHR > 0.80 and CA > 60 years. CONCLUSIONS The substitution of VA for CA may increase the FRS category. Sex differences in predictors of increased VA were identifi ed. AS parameters proved to be predictors of increased VA besides the classic risk factors.

Factors influencing quality of life up to the 36th month follow-up after treatment of acute coronary syndrome by coronary angioplasty

(unported, v3.0) License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress.com/permissions.php Nursing: Research and Reviews 2015:5 23–31 Nursing: Research and Reviews Dovepress

Sex differences in the quality of life of patients with acute coronary syndrome treated with percutaneous coronary intervention after a 3-year follow-up

Background The aims of this study were to analyze the dynamics of quality of life (QoL) changes after 36 months from the percutaneous coronary intervention (PCI) depending on sex and identify baseline predictors of the follow-up QoL of patients hospitalized for acute coronary syndrome (ACS) and subjected to PCI. Methods and results The study included 137 patients, females (n=67) and males (n=70), with ACS who underwent PCI. The QoL was assessed using the MacNew Heart Disease Health-Related Quality of Life questionnaire. The group of females scored lower in all the domains of the MacNew Heart Disease Health-Related Quality of Life questionnaire in the initial measurement (B1), in the measurement after 6 months (B2), and in the long-term follow-up measurement (36 months – B3). Despite the fact that both groups achieved improved QoL, its values were higher in the males. The average growth rate of the QoL score in the period from the sixth month to 36th month was higher in females than in males. In the univariate and multivariate analyses, significant independent predictors with a negative influence on the long-term QoL score included female sex (ρ=−0.190, β=−0.21), age >60 years (ρ=−0.255, β=−0.186), and diabetes (ρ=−0.216, β=−0.216). Conclusion In a 36-month follow-up of ACS patients treated with PCI, there were no statistically significant differences in QoL between sexes. In the entire cohort, there was improvement in QoL, which was higher in the case of the females studied. For the entire group, significant independent determinants of lower QoL 3 years after ACS included female sex, age >60 years, and diabetes.

Impact of cardiovascular risk factors on carotid intima-media thickness: sex differences

Background and purpose There has been growing interest in the sex-related differences in the impact of cardiovascular (CV) risk factors on carotid intima–media thickness (CIMT). Therefore, we aimed at examining the influence of CV risk factors on CIMT in men and women and identifying differences between males and females in the risk profiles affecting CIMT. Patients and methods The study group consisted of 256 patients (mean age 54.7 years), including 134 females (52%), with the following CV risk factors: arterial hypertension, type 2 diabetes mellitus, dyslipidemia, nicotine addiction, overweight, and obesity. Subjects with the history of any overt CV disease were excluded. CIMT was measured through B-mode ultrasound examination of the right common carotid artery. In the analysis of CIMT values at different ages, the patients were divided into three age groups: 1) <45 years, 2) 45–60 years, and 3) >60 years. Regression analysis was used to examine the influence of CV risk factors on CIMT in men and women. Results CIMT increased with age in both men and women. Women had lower values of CIMT than men (0.54 mm vs 0.60 mm, P=0.011). The analysis in three age subgroups revealed that CIMT values were comparable in men and women in group 1 (0.48 mm vs 0.48 mm, P=0.861), but over the age of 45 years, CIMT values became significantly lower in women compared to men (group 2: 0.51 mm vs 0.63 mm, P=0.005; group 3: 0.63 mm vs 0.72 mm, P=0.020). Significant differences were observed between the sexes in terms of risk factor impact on CIMT. In men, only three factors significantly affected CIMT: age (b=+0.009, P<0.0001), hypertension (b=+0.067, P<0.05), and type 2 diabetes (b=+0.073, P<0.05). In women, apart from age (b=+0.008, P<0.0001) and type 2 diabetes (b=+0.111, P<0.01), significant factors were pulse pressure (PP; b=+0.005, P<0.0001), body mass index (b=+0.007, P<0.05), increased waist circumference (b=+0.092, P<0.01), and metabolic syndrome (b=+0.071, P<0.05). In the multiple regression analysis, independent CIMT determinants for the entire group were age (β=0.497, P<0.001) and body mass index (β=0.195, P=0.006). For males, age was the only independent determinant of CIMT (β=0.669, P<0.001). For females, these were PP (β=0.317, P=0.014), age (β=0.242, P=0.03), and increased waist circumference (β=0.207, P=0.048). Conclusion CIMT values are lower in women than in men, which is most pronounced over the age of 45 years. There are sex-related differences in the profile of CV risk factors affecting CIMT: in males, CIMT is mostly determined by age, while in females, by age, PP, and increased waist circumference.

Gender-related differences in the progression of carotid stiffness with age and in the influence of risk factors on carotid stiffness

Background In recent years, there has been growing interest in the impact of gender-related factors on the function and structure of the arterial tree. The aim of our study was to identify gender-specific differences in the progression of carotid stiffness parameters with age and in the impact of risk factors on carotid stiffness. Subjects and methods The study group included 256 subjects (mean age: 54.7 years): 134 women (52%) and 122 men (48%) with cardiovascular risk factors: hypertension, type 2 diabetes mellitus, dyslipidemia, smoking, and obesity. Local parameters of carotid stiffness: β stiffness index (β), Peterson’s elastic modulus (Ep), pulse wave velocity β (PWV-β) and arterial compliance (AC) were determined with ultrasound echo-tracking software application. Results Women were characterized by lower AC than men (women: 0.57 mm2/kPa vs men: 0.69 mm2/kPa, p < 0.001) and the subanalysis in three age groups revealed that the difference in AC value between genders became significant over the age of 45 years. Although no significant difference in the value of β, Ep and PWV-β were found between genders in the whole study group, women <45 years were characterized by lower values of β and Ep than their men counterparts (β: women: 5.4 vs men: 6.6, p = 0.002; Ep: women: 72 kPa vs men: 84 kPa, p = 0.015). Among analyzed risk factors, the significant determinants of carotid stiffness were age, blood pressure components (pulse pressure and mean arterial pressure), type 2 diabetes mellitus and heart rate. The relationship between carotid stiffness and pulse pressure was observed only in women and between carotid stiffness and heart rate – only in men. Conclusion There are gender-related differences in the progression of carotid stiffness parameters with age and in the influence of risk factors on carotid stiffness.

1365: Impact of diabetes on QOL of patients who underwent coronary angioplasty

be treated easier by clinical tutors and implemented. New checklists have a common structure: a) First part emphasizes in self-learning of important basic knowledge that all personnel must acquire during training. b) Second part analyzes the fundamentals of the hospital’s operation, the differences of each department and orientation in their workspace. c) Third part of the new checklist is specialized in each department’s work, equipment and procedures that new nurses should adapt. Preceptors have also the opportunity to evaluate and rate the trainees in each topic with a score of 1 (‘‘cannot exercise’’), 2 (‘‘exercise with help’’) or 3 (‘‘exercise without help’’), depending on their competence in nursing practice and repeat the necessary training procedure if needed. By completing the training program, the employee will be finally evaluated by the Head Nurse of the corresponding department and the evaluation will be written at the end of the checklist. Finally all checklists return to Nursing Education Office for further evaluation of the orientation program and a copy is sent to employee’s personal file. The renewal of checklists promotes quality of in-service training by simplifying the educational procedure and by providing general and specialized training pathways for the new employees. Unification of the structure enhances the overall evaluation from the Preceptors, the Head Nurses and finally the Education Department.