Self-reported sleep fragmentation and sleep duration and their association with cognitive function in PROTECT, a large digital community-based cohort of people over 50.

OBJECTIVE: Sleep is vital for normal cognitive function in daily life, but is commonly disrupted in older adults. Poor sleep can be detrimental to mental and physical health, including cognitive function. This study assessed the association between self-reported short (<6 h) and long (>9 h) sleep duration and sleep fragmentation (3≥ nightly awakenings) in cognitive function. METHODS: Cross-sectional data from 8508 individuals enroled in the PROTECT study aged 50 and above formed the basis of the univariate linear regression analysis conducted on four cognitive outcomes assessing visuospatial episodic memory (VSEM), spatial working memory, verbal working memory (VWM), and verbal reasoning (VR). RESULTS: Short (ß = -0.153, 95% CI [-0.258, -0.048], p = 0.004) and long sleep duration (ß = -0.459, 95% CI [-0.826, -0.091], p = 0.014) were significantly associated with poorer cognitive performance in VWM. Long sleep duration (ß = -2.986, 95% CI [-5.453, -0.518], p = 0.018) was associated with impaired VR. Short sleep (ß = -0.133, 95% CI [-0.196, -0.069], p = <0.001) and sleep fragmentation (ß = -0.043, 95% CI [-0.085, -0.001], p = 0.043) were associated with reduced VSEM. These associations remained significant when including other established risk factors for dementia and cognitive decline (e.g., depression, hypertension). CONCLUSIONS: Our findings suggest that short and long sleep durations and fragmented sleep, may be risk factors for a decline in cognitive processes such as working memory, VR and episodic memory thus might be potential targets for interventions to maintain cognitive health in ageing.

State transition modeling of complex monitored health data.

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.

Patient safety in transitional care of the elderly: effects of a quasi-experimental interorganisational educational intervention.

OBJECTIVE: The study objective was to assess the effects of an interorganisational educational intervention called the 'Meeting Point' on patient safety culture among staff in hospital and nursing home wards. DESIGN: The study employs a quasi-experimental, non-randomised design with a hospital and nursing home intervention group and a hospital and nursing home control group. The study uses one preintervention and two postintervention survey measurements. The intervention group participated in an educational programme 'The Meeting Point' including interorganisational staff meetings combining educational sessions with a discussion platform focusing on quality and safety in transitional care of the elderly. RESULTS: The results show a stable development over time for the patient safety culture factor 'Handoff and transitions', and small improvements for 'Overall perceptions of patient safety culture' and 'Organisational learning - continuous improvement' for the hospital intervention group. No similar development was reported in the nursing home intervention group, which is most likely explained by ongoing organisational changes. Qualitative data show the existence of ongoing initiatives in the hospital to improve transitional care, but not all were connected to the 'Meeting Point'. CONCLUSION: The 'Meeting Point' has the potential to be a useful measure for healthcare professionals when aiming to improve patient safety culture in transitional care. Further refinement of the key components and testing with a more robust study design will be beneficial.

Long-term risk of falls in an incident Parkinson's disease cohort: the Norwegian ParkWest study.

The objective of this study is to examine the frequency, development, concomitants, and risk factors of falls in a population-based incident Parkinson's disease (PD) cohort. One hundred eighty-one drug-naïve patients with incident PD and 173 normal controls recruited from the Norwegian ParkWest study were prospectively monitored over 7 years. Information on falls was obtained biannually from patients, and at baseline and after 1, 3, 5, and 7 years of follow-up in control subjects. Generalized estimating equation models for correlated data were applied to investigate concomitant features of falls and risk factors for incident falls during 7 years of follow-up in PD. Overall, 64.1% of patients reported falling during the study period. The 7-year cumulative incidence of falls in non-falling patients at baseline (n = 153) was 57.5%, with a relative risk to controls of at least 3.1 (95% confidence interval 1.5-6.3; p < 0.002). Significant concomitants of falls in patients during the study period were higher age, Unified PD Rating Scale motor score, postural instability and gait difficulties (PIGD) phenotype, dementia, and follow-up time. Higher age at baseline, PIGD phenotype at 1-year visit, and follow-up time were independent risk factors for incident falls during follow-up. Nearly two-thirds of patients in the general PD population experience falls within 7 years of diagnosis, representing a more than threefold increased risk compared to age- and gender-matched controls. Patients with higher age at baseline and early PIGD have the greatest risk of falling and may, therefore, be the prime target of specialized assessment and treatment interventions.

Changes in insomnia subtypes in early Parkinson disease.

OBJECTIVE: To examine the development of factors associated with insomnia in a cohort of originally drug-naive patients with incident Parkinson disease (PD) during the first 5 years after diagnosis. METHODS: One hundred eighty-two drug-naive patients with PD derived from a population-based incident cohort and 202 control participants were assessed for insomnia before treatment initiation and were repeatedly examined after 1, 3, and 5 years. Insomnia was diagnosed according to the Stavanger Sleepiness Questionnaire. The Parkinson's Disease Sleep Scale was used to differentiate sleep initiation problems from problems of sleep maintenance. Generalized estimating equation models were applied for statistical measures. RESULTS: The prevalence of insomnia in general was not higher in patients with PD compared to controls at the 5-year follow-up. There were changes in the prevalence of the different insomnia subtypes over the 5-year follow-up. The prevalence of solitary problems in sleep maintenance increased from 31% (n = 18) in the drug-naive patients at baseline to 49% (n = 29) after 1 year and were associated with the use of dopamine agonists and higher Montgomery-Åsberg Depression Rating Scale scores. The prevalence of solitary sleep initiation problems decreased continuously from 21% (n = 12) at baseline to 7.4% (n = 4) after 5 years; these were associated with less daytime sleepiness. CONCLUSIONS: The prevalence rates of the different insomnia subtypes changed notably in patients with early PD. The frequency of sleep maintenance problems increased, and these problems were associated with dopamine agonist use and depressive symptoms, while the total number of patients with insomnia remained stable. Our findings reflect the need for early individual assessments of insomnia subtypes and raise the possibility of intervention to reduce these symptoms in patients with early PD.

Typologies in GPs' referral practice.

BACKGROUND: GPs' individual decisions to refer and the various ways of working when they refer are important determinants of secondary care use. The objective of this study was to explore and describe potential characteristics of GPs' referral practice by investigating their opinions about referring and their self-reported experiences of what they do when they refer. METHODS: Observational cross-sectional study using data from 128 Norwegian GPs who filled in a questionnaire with statements on how they regarded the referral process, and who were invited to collect data when they actually referred to hospital during one month. Only elective referrals were recorded. The 57 participants (44,5 %) recorded data from 691 referrals. The variables were included in a principal component analysis. A multiple linear regression analysis was conducted to identify typologies with GP's age, gender, specialty in family medicine and location as independent variables. RESULTS: Eight principal components describe the different ways GPs think and work when they refer. Two typologies summarize these components: confidence characterizing specialists in family medicine, mainly female, who reported a more patient-centred practice making priority decisions when they refer, who confer easily with hospital consultants and who complete the referrals during the consultation; uncertainty characterizing young, mainly male non-specialists in family medicine, experiencing patients' pressure to be referred, heavy workload, having reluctance to cooperate with the patient and reporting sparse contact with hospital colleagues. CONCLUSIONS: Training specialists in family medicine in patient-centred method, easy conference with hospital consultant and cooperation with patients while making the referral may foster both self-reflections on own competences and increased levels of confidence.

Normal Newborn Heart Rate in the First Five Minutes of Life Assessed by Dry-Electrode Electrocardiography.

BACKGROUND: There is limited evidence regarding the heart rate (HR) during the first minutes of life. Nonetheless, resuscitative actions within the first minute are partly guided by different HR levels. The advent of an electrocardiographic (ECG) HR sensor with early HR detection has provided the opportunity to study changes immediately following delivery. OBJECTIVE: The objectives were to determine immediately following delivery: (i) the time to achievement of reliable ECG signals using dry electrodes, (ii) changes in HR, and (iii) the influence of the onset of breathing and cord clamping on the HR. METHODS: Healthy term neonates were randomly included between July and October 2013. The HR was recorded by the ECG sensor, placed over the abdomen immediately after birth. RESULTS: Fifty-five newborns were included. The median time from birth to placement of the HR sensor was 3 s (quartiles: 2 and 5), and the median time to the start of breathing was 6 s (quartiles: 2 and 15). The HR was around 120 beats/min (bpm) in the first seconds of life. As determined via breakpoint analysis, the HR increased by 1 beat in the first 40 s to 149 ± 33 bpm, followed by a moderate increase until 130 s and stabilization thereafter. After the onset of breathing, the HR decreased for 10 s and then increased. Minimal HR changes were observed after cord clamping. CONCLUSION: A dry-electrode ECG sensor detected reliable ECG signals almost immediately after birth. The normal HR increased significantly in spontaneously breathing infants during the first minute, influenced by the onset of breathing. Delayed cord clamping had a minimal impact on the HR, likely reflecting an earlier onset of breathing.

Non-Euclidean classification of medically imaged objects via s-reps.

Classifying medically imaged objects, e.g., into diseased and normal classes, has been one of the important goals in medical imaging. We propose a novel classification scheme that uses a skeletal representation to provide rich non-Euclidean geometric object properties. Our statistical method combines distance weighted discrimination (DWD) with a carefully chosen Euclideanization which takes full advantage of the geometry of the manifold on which these non-Euclidean geometric object properties (GOPs) live. Our method is evaluated via the task of classifying 3D hippocampi between schizophrenics and healthy controls. We address three central questions. 1) Does adding shape features increase discriminative power over the more standard classification based only on global volume? 2) If so, does our skeletal representation provide greater discriminative power than a conventional boundary point distribution model (PDM)? 3) Especially, is Euclideanization of non-Euclidean shape properties important in achieving high discriminative power? Measuring the capability of a method in terms of area under the receiver operator characteristic (ROC) curve, we show that our proposed method achieves strongly better classification than both the classification method based on global volume alone and the s-rep-based classification method without proper Euclideanization of non-Euclidean GOPs. We show classification using Euclideanized s-reps is also superior to classification using PDMs, whether the PDMs are first Euclideanized or not. We also show improved performance with Euclideanized boundary PDMs over non-linear boundary PDMs. This demonstrates the benefit that proper Euclideanization of non-Euclidean GOPs brings not only to s-rep-based classification but also to PDM-based classification.

Judicious use of oxytocin augmentation for the management of prolonged labor.

INTRODUCTION: A protocol including judicious use of oxytocin augmentation was investigated to determine whether it would change how oxytocin was used and eventually influence labor and fetal outcomes. MATERIAL AND METHODS: The population of this cohort study comprised 20 227 delivering women with singleton pregnancies ≥37 weeks, cephalic presentation, spontaneous or induced onset of labor, without previous cesarean section. Women delivering from 2009 to 2013 at Stavanger University Hospital, Norway, were included. Data were collected prospectively. Before implementing the protocol in 2010, oxytocin augmentation was used if progression of labor was perceived as slow. After implementation, oxytocin could only be started when the cervical dilation had crossed the 4-h action line in the partograph. RESULTS: The overall use of oxytocin augmentation was significantly reduced from 34.9% to 23.1% (p < 0.01). The overall frequency of emergency cesarean sections decreased from 6.9% to 5.3% (p < 0.05) and the frequency of emergency cesarean sections performed due to fetal distress was reduced from 3.2% to 2.0% (p = 0.01). The rate of women with duration of labor over 12 h increased from 4.4% to 8.5% (p < 0.01) and more women experienced severe estimated postpartum hemorrhage (2.6% vs. 3.7%; p = 0.01). The frequency of children with pH <7.1 in the umbilical artery was reduced from 4.7% to 3.2% (p < 0.01). CONCLUSIONS: The frequency of emergency cesarean section was reduced after implementing judicious use of oxytocin augmentation. Our findings may be of interest in the ongoing discussion of how the balanced use of oxytocin for labor augmentation can best be achieved.

Development of excessive daytime sleepiness in early Parkinson disease.

OBJECTIVE: To examine the frequency, development, and risk factors of excessive daytime sleepiness (EDS) in a cohort of originally drug-naive patients with incident Parkinson disease (PD) during the first 5 years after diagnosis. METHODS: One hundred fifty-three drug-naive patients with early PD derived from a population-based incident cohort and 169 control participants were assessed for EDS and reevaluated after 1, 3, and 5 years on medication. EDS was diagnosed according to the Epworth Sleepiness Scale. Cutoff score above 10 was applied. Generalized estimating equation models for correlated data were used to examine associated and risk factors for EDS. RESULTS: Patients reported EDS more often than control participants at the time of diagnosis and during follow-up. The frequency of EDS in PD increased from 11.8% at baseline to 23.4% after 5 years. Associated factors were male sex, the use of dopamine agonists, and higher Montgomery-Åsberg Depression Rating Scale and Unified Parkinson's Disease Rating Scale-activities of daily living scores. Main risk factor for developing EDS was an increased Epworth Sleepiness Scale score at baseline. CONCLUSION: EDS is more frequent in PD even before treatment initiation compared with control participants and increases in occurrence with disease progression. The main risk factor for developing EDS with time is an early predisposition for sleepiness. In addition, the use of dopamine agonists was associated with the development of EDS. These findings necessitate caution in patients with PD and early increased sleep propensity and when using dopamine agonists.

Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists.

BACKGROUND: It is often difficult to differentiate early melanomas from benign melanocytic nevi even by expert dermatologists, and the task is even more challenging for primary care physicians untrained in dermatology and dermoscopy. A computer system can provide an objective and quantitative evaluation of skin lesions, reducing subjectivity in the diagnosis. OBJECTIVE: Our objective is to make a low-cost computer aided diagnostic tool applicable in primary care based on a consumer grade camera with attached dermatoscope, and compare its performance to that of experienced dermatologists. METHODS AND MATERIALS: We propose several new image-derived features computed from automatically segmented dermoscopic pictures. These are related to the asymmetry, color, border, geometry, and texture of skin lesions. The diagnostic accuracy of the system is compared with that of three dermatologists. RESULTS: With a data set of 206 skin lesions, 169 benign and 37 melanomas, the classifier was able to provide competitive sensitivity (86%) and specificity (52%) scores compared with the sensitivity (85%) and specificity (48%) of the most accurate dermatologist using only dermoscopic images. CONCLUSION: We show that simple statistical classifiers can be trained to provide a recommendation on whether a pigmented skin lesion requires biopsy to exclude skin cancer with a performance that is comparable to and exceeds that of experienced dermatologists.

A semiautomatic tool for prostate segmentation in radiotherapy treatment planning.

BACKGROUND: Delineation of the target volume is a time-consuming task in radiotherapy treatment planning, yet essential for a successful treatment of cancers such as prostate cancer. To facilitate the delineation procedure, the paper proposes an intuitive approach for 3D modeling of the prostate by slice-wise best fitting ellipses. METHODS: The proposed estimate is initialized by the definition of a few control points in a new patient. The method is not restricted to particular image modalities but assumes a smooth shape with elliptic cross sections of the object. A training data set of 23 patients was used to calculate a prior shape model. The mean shape model was evaluated based on the manual contour of 10 test patients. The patient records of training and test data are based on axial T1-weighted 3D fast-field echo (FFE) sequences. The manual contours were considered as the reference model. Volume overlap (Vo), accuracy (Ac) (both ratio, range 0-1, optimal value 1) and Hausdorff distance (HD) (mm, optimal value 0) were calculated as evaluation parameters. RESULTS: The median and median absolute deviation (MAD) between manual delineation and deformed mean best fitting ellipses (MBFE) was Vo (0.9 ± 0.02), Ac (0.81 ± 0.03) and HD (4.05 ± 1.3)mm and between manual delineation and best fitting ellipses (BFE) was Vo (0.96 ± 0.01), Ac (0.92 ± 0.01) and HD (1.6 ± 0.27)mm. Additional results show a moderate improvement of the MBFE results after Monte Carlo Markov Chain (MCMC) method. CONCLUSIONS: The results emphasize the potential of the proposed method of modeling the prostate by best fitting ellipses. It shows the robustness and reproducibility of the model. A small sample test on 8 patients suggest possible time saving using the model.