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Continuous positive airway pressure (CPAP) therapy is an efficacious treatment for patients diagnosed with obstructive sleep apnea (OSA). However, there are only few data on long-term adherence. The aim of this study is to quantify the extent of non-adherence and describe the clinical characteristics. A retrospective study including 695 patients with newly diagnosed OSA and prescribed CPAP therapy within an inclusion period of 14 months. All patients were offered free of charge individually adjusted CPAP therapy. Data on comorbidity, medication, BMI and Epworth Sleepiness Score (ESS) were obtained by questionnaires and consultation with an otorhinolaryngeal specialist. The median follow-up time after initiating CPAP therapy was 3.0 (range 2.4-3.6) years. An adherence rate of 89% was found for severe OSA, 71% for moderate OSA and 55% for mild OSA. 18% initiated humidification. Patients adherent to CPAP had a significantly higher Body Mass Index (BMI), Apnea Hypopnea Index (AHI), Oxygen Desaturation Index (ODI) and ESS compared to non-adherent patients. Furthermore, adherence was associated with a higher frequency of observed interrupted breathing, a less frequent use of hypnotic drugs, fewer smokers, and they were more often offered humidification. Age, gender and comorbidity were not significantly associated with adherence. In a Cox model only AHI (Hazard Ratio (HR) 0.963, p < 0.001), ESS (HR 0.939, p = 0.001) and smoking (HR 1.576, p = 0.022) were independently associated with CPAP non-adherence. The severity of OSA, subjective daytime sleepiness and smoking status are independently related to adherence to CPAP therapy.

Background Crowding in the emergency department (ED) is associated with increased mortality, increased treatment cost, and reduced quality of care. Crowding arises when demand exceed resources in the ED and a first sign may be increasing waiting time. We aimed to quantify predictors for departure from the ED, and relate this to waiting time in the ED before departure. Methods We utilised administrative data from the ED and calculated number of arrivals, departures, and the resulting queue in 30 min time steps for all of 2013 ( N  = 17,520). We build a transition model for each time step using the number of past departures and pre-specified risk factors (arrivals, weekday/weekend and shift) to predict the expected number of departures and from this the expected waiting time in the ED. The model was validated with data from the same ED collected March through August 2014. Results We found that the number of arrivals had the greatest independent impact on departures with an odds ratio of 0.942 (95%CI: 0.937;0.948) corresponding to additional 7 min waiting time per new arrival in a 30 min time interval with an a priori time spend in the ED of two hours. The serial correlation of departures was present up to one and a half hour previous but had very little effect on the estimates of the risk factors. Boarding played a negligible role in the studied ED. Conclusions We present a transition regression model with high predictive power to predict departures from the ED utilising only system level data. We use this to present estimates of expected waiting time and ultimately crowding in the ED. The model shows good internal validity though further studies are needed to determine generalisability to the performance in other settings.

Aim: The aim of this study is to evaluate the feasibility of Microlife Watch BP for measuring bilateral blood pressure (BP) in a clinical setting. Method: 339 patients (85% diabetic) scheduled for ambulatory blood pressure monitoring at the outpatient clinic for endocrinology, Silkeborg Regional Hospital, were examined with simultaneously bilateral BP measurements. A fully automatic, oscillometric device was used and two successive measurements were made. Results: 9,1% of the patients had a clinically significant inter-arm blood pressure difference (IAD) of ≥10mmHg in the first set of measurements. Mean IAD in the first measurement was -0,3mmHg 6.6. Twenty-three patients had a normal IAD in the first set of measurements but IAD ≥10mmHg in the second set of measurements. Only one of the patients with an IAD ≥10mmHg had a change in the arm with the highest blood pressure. The 95 % Limits of Agreement (LoA) for the mean interarm difference for a single measurement was 13.2 mmHg. Conclusion: Microlife WatchBP measurement is a feasible method to determine IAD in a clinical setting. Bilateral BP measurements should be performed at first visit to help the clinician choose the right arm for further BP evaluations.

Background Practices for withholding or withdrawing therapy vary according to professional, cultural and religious differences. No Danish-validated questionnaire examining withholding and withdrawing practices exists, thus the aim of this study was to develop and validate a questionnaire for surveying the views of intensive care nurses, intensivists, and primary physicians regarding collaboration and other aspects of withholding and withdrawing therapy in the ICU. Methods A questionnaire was developed on the basis of literature, focus group interviews with intensive care nurses and intensivists, and individual interviews with primary physicians. The questionnaire was validated in the following 3 phases: a qualitative test with 17 participants; a quantitative pilot test with 60 participants; and a survey with 776 participants. The validation process included tests for face and content validity (by interviewing participants in the qualitative part of the pilot study), reliability (by assessing the distribution of responses within the individual response categories), agreement (by conducting a test-retest, evaluated by paired analyses), known groups’ validity (as a surrogate test for responsiveness, by comparing two ICUs with a known difference in end-of-life practices), floor and ceiling effect, and missing data. Results Face and content validity were assessed as good by the participants in the qualitative pilot test; all considered the questions relevant and none of the participants found areas lacking. Almost all response categories were used by the participants, thus demonstrating the questionnaires ability to distinguish between different respondents, agreement was fair (the average test-retest agreement for the Likert scale responses was 0.54 (weighted kappa; range, 0.25-0.73), and known groups’ validity was proved by finding significant differences in level of satisfaction with interdisciplinary collaboration and in experiences of withdrawal decisions being unnecessarily postponed. Floor and ceiling effect was in accordance with other questionnaires, and missing data was limited to a range of 0-7% for all questions. Conclusions The validation showed good and fair areas of validity of the questionnaire. The questionnaire is considered a useful tool to assess the perceptions of collaboration and other aspects of withholding and withdrawing therapy practices in Danish ICUs amongst nurses, intensivists, and primary physicians.

Purpose The purpose of the study was to determine the views of intensive care nurses, intensivists, and primary physicians regarding collaboration and other aspects of withholding and withdrawing therapy in the intensive care unit (ICU). Methods A questionnaire survey was conducted in seven hospitals in the Region of Southern Denmark, including six regional and four university ICUs. Four hundred ninety-five nurses, 135 intensivists, and 146 primary physicians participated in the study. The primary physicians came from two regional hospitals. Results The unified response rate was 84%. “Futile therapy” and “Patient’s wish” were for all participants the main reasons for considering withholding or withdrawing therapy. Of primary physicians 63% found their general experience of collaboration very or extremely satisfactory compared to 36% of intensivists and 27% of nurses. Forty-three percent of nurses, 29% of intensivists, and 2% of primary physicians found that decisions regarding withdrawal of therapy were often, very often, or always unnecessarily postponed. Intensivists with ICU as their main workplace were more satisfied with the collaboration and more rarely found that end-of-life decisions were changed or postponed compared to intensivists who did not have ICU as their main workplace. Conclusion Nurses, intensivists and primary physicians differ in their perception of collaboration and other aspects of withholding and withdrawing therapy practises at the ICU. Multi-disciplinary patient conferences, nurse involvement in the decision-making process, and guidelines for withholding and withdrawing therapy are recommended.

Abstract Context Turner syndrome (TS) is a rare genetic syndrome with an increased mortality, mainly attributed to cardiovascular disease. Objective This work aimed to investigate and correlate the lipid profile in adult women with TS to clinical characteristics. Methods A 12-year prospective cohort study, including 4 study visits, was conducted at a specialist hospital. A total of 102 women with TS qualified for inclusion. Excluding missing variables and participants lost to follow-up, 86 women (mean age 38.1 years; range, 18.4-62.1 years) were included in this study. Fifty-three women completed the study. Repeated-measurement analysis was performed, using total cholesterol (Total-C), low-density lipoprotein (LDL), triglycerides (TGs), and high-density lipoprotein (HDL) as outcome variables and age, karyotype, body mass index (BMI), treatment with statins, antidiabetics, and hormone replacement therapy as explanatory variables. Principal component analysis (PCA) and partial least squares (PLS) analysis were performed at the first study visit. Results Hyperlipidemia was present in 30% of the TS cohort. Total-C increased with age (0.12 mmol/L/y; P = .016). LDL (P = .08), TGs (P = .14), and HDL (P = .24) were not associated with age. BMI significantly increased total-C (0.19 mmol/L/kg/m2; P = .006), LDL (0.63 mmol/L/kg/m2; P < .001), and TGs (0.80 mmol/L/kg/m2; P < .001) and decreased HDL (−0.59 mmol/L/kg/m2; P < .001). PCA and PLS analysis found correlations between weight and BMI and total-C, LDL, and TGs. Conclusion Hyperlipidemia is more prevalent in adult women with TS across adulthood compared to the background population. Total-C, LDL, TGs, and HDL were significantly associated with BMI characterizing the atherogenic profile in adult women with TS.

Identification of the subset females with Turner syndrome who face especially high risk of aortic dissection is difficult, and more optimal risk assessment is pivotal in order to improve outcomes. This study aimed to provide comprehensive, dynamic mathematical models of aortic disease in Turner syndrome by use of cardiovascular magnetic resonance (CMR). A prospective framework of long-term aortic follow-up was used, which comprised diameters of the thoracic aorta prospectively assessed at nine positions by CMR at the three points in time (baseline [n = 102, age 38 ± 11 years], follow-up [after 2.4 ± 0.4 years, n = 80] and end-of-study [after 4.8 ± 0.5 years, n = 78]). Mathematical models were created that cohesively integrated all measurements at all positions, from all visits and for all participants, and using these models cohesive risk factor analyses were conducted based on which predictive modeling was performed on which predictive modelling was performed. The cohesive models showed that the variables with effect on aortic diameter were aortic coarctation (P < 0.0001), bicuspid aortic valves (P < 0.0001), age (P < 0.0001), diastolic blood pressure (P = 0.0008), body surface area (P = 0.015) and antihypertensive treatment (P = 0.005). Oestrogen replacement therapy had an effect of borderline significance (P = 0.08). From these data, mathematical models were created that enabled preemption of aortic dilation from CMR derived aortic diameters in scenarios both with and without known risk factors. The fit of the models to the actual data was good. The presented cohesive model for prediction of aortic diameter in Turner syndrome could help identifying females with rapid growth of aortic diameter, and may enhance clinical decision-making based on serial CMR.

Patients with type 2 diabetes have a high incidence of cardiovascular events including stroke. Increased arterial stiffness (AS) predicts cardiovascular events in the general population. Cerebral white matter lesions (WMLs) are associated with an increased risk of stroke. It is unknown whether AS in patients with type 2 diabetes is associated with WMLs. We examined 89 patients recently diagnosed with type 2 diabetes (<5 years) and 89 sex- and age-matched controls. AS was assessed with carotid-femoral pulse wave velocity (PWV). WMLs were identified using magnetic resonance imaging and graded qualitatively with the Breteler scale (no/slight changes = 0, moderate changes = 1, severe changes = 2) and semiquantitatively. The diabetic population had excellent glycemic control (HbA(1c), 6.5% [6.2-6.8]; median [interquartile range {IQR}]) and had, compared with the controls, lower office blood pressure (BP) (127 ± 12/79 ± 8 vs. 132 ± 14/84 ± 10 mmHg) and total cholesterol (4.3[3.9-4.7] vs. 5.6 [5.1-6.4]; mmol/L; median [IQR]), (P < 0.01 for all). Despite this, PWV was higher in the patients with diabetes compared with controls (9.3 ± 2.0 vs. 8.0 ± 1.6 m/s; P < 0.0001). PWV was associated with Breteler score (OR 1.36 [95% CI 1.17-1.58]; P < 0.001) and WML volume (OR 1.32 [95% CI 1.16-1.51]; P < 0.001) per 1 m/s increase in PWV. These associations remained significant when adjusted for age, sex, diabetes, 24-h mean arterial BP, BMI, heart rate, and use of antihypertensives and statins (Breteler score: OR 1.28 [95% CI 1.03-1.60]; P < 0.05 and WML volume: OR 1.30 [95% CI 1.06-1.58]; P < 0.05). PWV was higher among patients with well-controlled type 2 diabetes compared with controls and was independently associated with WMLs. PWV may represent a clinically relevant parameter in the evaluation of cerebrovascular disease risk in type 2 diabetes.

The purpose of this study was to examine the influence of the increasing prevalence of obesity on the development of health care utilization in Denmark in the period 1987-2005. From a random sample of adult Danes (19,142 women and 18,335 men) who participated in the Danish Health Interview Surveys in 1987, 1994, 2000, and 2005, self-reported data on type of health care utilization within the previous 3 months and on height and weight were obtained. Adjusted odds ratios (ORs) showed that an increased use of health care among obese men compared with those of normal weight was pronounced and significant for those aged 45-64 years, whereas it was weaker and borderline significant for those aged 25-44 and 65+ years. Among obese men, there was an increasing use of health care until 2005. Among women, there was also an increased use of health care among the obese women in comparison with the normal weight women. An increase in the use of health care was found among obese women during 1987-2000, followed by a leveling of utilization during 2000-2005. In conclusion, this study showed that the increase in health care utilization in Denmark could, in part, be attributed to an increase in prevalence of obesity and to an increase in health care utilization among obese men in particular.

Identification of the subset females with Turner syndrome who face especially high risk of aortic dissection is difficult, and more optimal risk assessment is pivotal in order to improve outcomes. This study aimed to provide comprehensive, dynamic mathematical models of aortic disease in Turner syndrome by use of cardiovascular magnetic resonance (CMR). A prospective framework of long-term aortic follow-up was used, which comprised diameters of the thoracic aorta prospectively assessed at nine positions by CMR at the three points in time (baseline [n = 102, age 38 ± 11 years], follow-up [after 2.4 ± 0.4 years, n = 80] and end-of-study [after 4.8 ± 0.5 years, n = 78]). Mathematical models were created that cohesively integrated all measurements at all positions, from all visits and for all participants, and using these models cohesive risk factor analyses were conducted based on which predictive modeling was performed on which predictive modelling was performed. The cohesive models showed that the variables with effect on aortic diameter were aortic coarctation (P < 0.0001), bicuspid aortic valves (P < 0.0001), age (P < 0.0001), diastolic blood pressure (P = 0.0008), body surface area (P = 0.015) and antihypertensive treatment (P = 0.005). Oestrogen replacement therapy had an effect of borderline significance (P = 0.08). From these data, mathematical models were created that enabled preemption of aortic dilation from CMR derived aortic diameters in scenarios both with and without known risk factors. The fit of the models to the actual data was good. The presented cohesive model for prediction of aortic diameter in Turner syndrome could help identifying females with rapid growth of aortic diameter, and may enhance clinical decision-making based on serial CMR.