Open-source logic-based automated sleep scoring software using electrophysiological recordings in rats

Manual state scoring of physiological recordings in sleep studies is time-consuming, resulting in a data backlog, research delays and increased personnel costs. We developed MATLAB-based software to automate scoring of sleep/waking states in rats, potentially extendable to other animals, from a variety of recording systems. The software contains two programs, Sleep Scorer and Auto-Scorer, for manual and automated scoring. Auto-Scorer is a logic-based program that displays power spectral densities of an electromyographic (EMG) signal and σ, δ, and θ frequency bands of an electroencephalographic (EEG) signal, along with the δ/θ ratio and σ × θ, for every epoch. The user defines thresholds from the training file state definitions which the Auto-Scorer uses with logic to discriminate the state of every epoch in the file. Auto-Scorer was evaluated by comparing its output to manually scored files from 6 rats under 2 experimental conditions by 3 users. Each user generated a training file, set thresholds, and auto-scored the 12 files into 4 states (waking, non-REM, transition-to-REM, and REM sleep) in 1/4 the time required to manually score the file. Overall performance comparisons between Auto-Scorer and manual scoring resulted in a mean agreement of 80.24 ± 7.87%, comparable to the average agreement among 3 manual scorers (83.03 ± 4.00%). There was no significant difference between user–user and user–Auto-Scorer agreement ratios. These results support the use of our open-source Auto-Scorer, coupled with user review, to rapidly and accurately score sleep/waking states from rat recordings.     

Stability and change in reported age of onset of depression,back pain,and smoking over 29 years in a prospective cohort study

Accurate age of onset (AOO) measurement is vital to etiologic and preventive research. While AOO reports are known to be subject to recall error, few population-based studies have been used to investigate agreement in AOO reports over more than a decade. We examined AOO reports for depression, back/neck pain, and daily smoking, in a population-based cohort spanning 29 years. A stratified sample of participants from Zurich, Switzerland (n = 591) completed a psychiatric and physical health interview 7 times between 1979, at ages 20 (males) and 21 (females), and 2008. We used one-way ANOVA to estimate intraclass correlations (ICCs) and weighted mixed models to estimate mean change over time and test for interactions with sex and clinical characteristics. Stratum-specific ICCs among those with 2 + reports were 0.19 and 0.29 for depression, 0.46 and 0.35 for back pain, and 0.66 and 0.75 for smoking. The average yearly increases in AOO report from the wave of first 12-month diagnosis or reported smoking, estimated in mixed models, were 0.57 years (95% confidence interval: 0.35, 0.79) for depression, 0.44 (95%CI: 0.28, 0.59) years for back pain, and 0.08 (95%CI: 0.03, 0.14) years for smoking. Initial impairment and frequency of treatment were associated with differences in average yearly change for depression. There is substantial variability in AOO reports over time and systematic increase with age. The degree of increase may differ by outcome, and for some outcomes, by participant clinical characteristics. Future studies should identify predictors of AOO report stability to ultimately benefit etiologic and preventive research.     

Saving space: Comparing mini - logMAR with standard logMAR visual acuity

Purpose:Assessing visual acuity (VA) is the cornerstone of an ophthalmic workup and needs VA charts in a four or six meters space. The objective of this study was to compare the performance of distant VA (DVA) on one meter mini-logMAR (MLM) with a standard six meter logMAR (SLM) chart.Methods:We developed a MLM chart to be used at 1 m with +1.0 D spectacles, by reducing the SLM chart designed for 6 meters, to 1/6^th its size, using AutoCAD version 2014. On an initial cohort, we obtained DVA on the two charts by optometrist trainees, masked to the outcomes on the different tests. We performed regression and checked agreement between the two measurements. Subsequently, on a new cohort, we validated the performance of the MLM.Results:Of the 56 initial subjects, mean DVA with SLM was 0.44 ± 0.13 and with MLM was 0.45 ± 0.13; mean difference of -0.01 ± 0.02, 95%CI: 0.007 to 0.018; P < 0.0001 on paired t-test. There was a significant correlation: r = 0.99; r² = 0.98, P < 0.0001. On an average, DVA with MLM was less than a letter worse than with SLM. The regression formula obtained: SLM DVA = -0.1312 + 1.0014 x (MLM DVA). The validation study revealed no significant difference (P = 0.29) between the predicted standard DVA calculated by the regression formula and the actual standard.Conclusion:We suggest that we can deduce distance logMAR VA from a mini-logMAR chart as devised and used by us. This will take less space, be portable and allow congenial interaction with patients.     

Sleep assessment in aging adults with type 2 diabetes: agreement between actigraphy and sleep diaries

ObjectiveActigraphy and sleep diaries have been widely used to evaluate various sleep parameters. However, their agreement in diabetes patients remains unclear. The objective of this study was to examine the agreement between sleep outcomes measured by actigraphy and sleep diaries in aging adults with type 2 diabetes (T2D).MethodsA convenience sample of 53 T2D adults (aged 50–76 years) were enrolled. Participants wore a wrist ActiGraph and filled out a daily sleep diary for eight days. Total sleep time (TST), sleep efficiency (SE), sleep onset latency (SOL), and wake after sleep onset (WASO) were obtained from the actigraphy and sleep diaries. Bland–Altman plots were conducted to examine the agreement between each sleep outcome.ResultsThe differences for TST and SE assessed by actigraphy and sleep diaries were 11.3 min (SD 65.3) and 0.2% (SD 10.5). Bland–Altman plots revealed wide limits of agreement between actigraphy- and diary-measured TST (95%CI: −139.3 min, 116.7 min) and SE (95%CI: −20.9%, 20.4%). Systematic biases were present for WASO and SOL: compared to actigraphy, sleep diaries underestimated WASO and overestimated SOL. As the SOL and WASO increased, the agreement became lower.ConclusionOverall, the agreement between actigraphy and sleep diaries is poor across all measures in aging adults with T2D patients. Findings from this study highlight the need for sleep researchers and clinicians to consider the method used for sleep assessment when developing interventions or interpreting study findings.     

苏皖地区变应性鼻炎患者气传变应原皮肤点刺试验和血清特异性IgE检测的一致性及相关性分析

目的 基于皮肤点刺试验(SPT)和血清特异性IgE(sIgE)检测方法分析变应性鼻炎(AR)患者常见气传变应原,评估该两种检测方法所得结果的一致性及相关性.方法 纳入苏皖地区AR患者101例,其中男53例,女48例;4～68岁,平均(38.5±14.8)岁.均同时进行10种气传变应原SPT和sIgE检测,包括6种常年性...     

Actigraph-defined moderate-to-vigorous physical activity cut-off points among children: statistical and biobehavioural relevance

Aim: To compare Actigraph-defined moderate-to-vigorous physical activity (MVPA) cutpoints among children, combining statistical and biobehavioural analyses.
Methods: One hundred and thirteen children aged 10.0 ± 0.8 years wore accelerometer for three days. The time they spent in MVPA was estimated using 10 thresholds ranged from 3000 to 3900 cpm. A statistical construct including 45 Bland and Altman pairwise analyses was used to compare the 10 estimates of MVPA. A regression was performed to develop an equation relating mean differences to the between-cutpoint gaps.
Results: Mean differences in the MVPA estimates ranged from 1.6 to 12.8 min as a function of increment. Raw estimates of MVPA decreased according to an arithmetic sequence with a common difference of 200 cpm. This difference translates into a drop of 12% in MVPA and a misclassification of up to 5% of children. Mean differences ( Y ) could be predicted from increments ( X ) using: Y = 0.02 X (R²= 0.99, SEE = 0.72, p < 0.0001).
Conclusion: When a lack of agreement should be assumed as the between-cutpoint gap exceeds 200 cpm, statistical differences may occur earlier at 90 cpm. Yet, the current equation makes it possible to compare and adjust results from studies/interventions using diverse cutpoints for MVPA among children.     

An assessment of the validity of reporting by proxy to women's health questionnaire: a pilot study

OBJECTIVE: The quality of proxy reports provided by husbands regarding women's health, when the index case (the wife) cannot be interviewed, is controversial. STUDY DESIGN: Fourteen husbands and wives at menopause were interviewed separately using the same pre-constructed questionnaire. The extent of agreement between their reports was assessed. RESULTS: Higher agreement was noted for questions regarding physiognomy, number of live children, age at menopause and general health problems. Lesser agreement was observed regarding obstetric history. CONCLUSIONS: In light of these preliminary observations, the use of husbands as proxy for women's health questionnaire at midlife should be carefully considered and may be limited to questions regarding general health issues rather than reproductive health.     

Agreement between patients' and proxies' reports of quality of lifein Alzheimer's disease

Agreement between self reports and proxy reports of health-related quality of life (HRQoL) was examined in a sample of 76 patients with mild to moderate Alzheimer's disease and their proxies. Patients and proxies completed an (17-item Duke health profile). The items were rephrased for the proxy. The proportion of exact agreement between patients and proxies on the 17 items ranged from 26.3 to 52.6%. Results reveal poor to moderate agreement (intraclass correlation coefficients (ICCs) from 0.00 to 0.61 for 10 subscales) between patients' and proxies' reports. Agreement was higher for measures of function that are directly observable (physical health, disability) and relatively poor for more subjective measures. Proxy reliability varied according to the relationship of the proxy to the index subject. Spouses and nurses agreed more closely with index subjects than did children or nurses' aides. Agreement decreased with increasing severity of dementia. Statistically significant differences in mean scores were noted for several dimensions, with proxies tending to rate the patients as having a lower quality of life than the patients themselves. This study indicates the importance of considering the information source of a patient's HRQoL. However, assessments by proxies should be used with caution. This revised version was published online in June 2006 with corrections to the Cover Date.     

Predictors of the Extent of Agreement for Quality of Life Assessments Between Terminally Ill Cancer Patients and their Primary Family Caregivers in Taiwan

The use of family caregivers to report patients’ dying experiences has been suggested as a way of resolving the problem of non-response bias and missing data in end-of-life research. There is a dearth of information in the literature about the predictors of the extent of agreement for quality of life (QOL) assessments between patients and family informants outside of Western countries. In addition, to date there has been little progress made in deciphering meaningful influencing factors on the levels of agreement between patient and family QOL assessments. The purpose of this study was to identify the impact of the demographics and disease characteristics of patients and families, relationships of the patient to family caregiver, and caregiving burden on the extent of agreement for QOL assessments between Taiwanese terminally ill cancer patients and their family caregivers. Results from assessments by 114 dyads of Taiwanese terminally ill cancer patients and their family caregivers indicated that the extent of agreement between patient and family assessments of patient QOL was negatively influenced by the caregiving burden (amount of care needed and the impact of caregiving on caregiver’s health), positively influenced by the patient’s poorer health status, and there were a mixed effect of the demographics and the relationship between the patient and the family. Providing clinical care tailored at empowering families and aimed at reducing their unmet caregiving needs may improve family caregivers’ abilities to assess patient QOL sensitively.