Mobile meditation for improving quality of life, anxiety and depression among surgical residents and faculty.

BACKGROUND: Burnout, anxiety and depression are commonly reported among surgical residents and faculty members. Resident training programmes are encouraged to implement structured wellness initiatives, to address emotional stress. METHODS: Thirty otolaryngology residents and faculty members were invited to participate in this prospective pilot trial. Participants were randomised to either the intervention group, which involved completing 10 mobile meditation sessions, or the control group. Outcomes were measured with the Generalized Anxiety Disorder scale-7, Patient Health Questionnaire and Professional Quality of Life scale. RESULTS: Nineteen participants completed the study. Participants in the intervention group had a significantly greater mean change in Generalized Anxiety Disorder scale-7 score (-2.7 ± 3.335 vs 0.33 ± 1.225; p = 0.04). There was no significant difference in average change in Patient Health Questionnaire-9 scores or Professional Quality of Life scale sub-scores between the intervention and control groups. CONCLUSION: Short meditation sessions can significantly improve anxiety in surgical residents and faculty members, and they offer a simple, attainable and effective wellness intervention.

Use of a sternocleidomastoid muscle flap to protect the carotid artery during laryngectomy.

OBJECTIVES: This paper describes a simple method of securing tissue coverage of the great vessels at the initial surgery by rotating the divided sternal heads of the sternocleidomastoid muscle, a routine step during laryngectomy, and approximating them to the prevertebral fascia. The paper presents an illustrated case example where this technique in a salvage laryngectomy repair resulted in a protected vascular axis following a salivary leak. RESULTS: Since utilising this technique, there has been a marked reduction in the requirement of subsequent flap procedures to protect vessels, and no episodes of threatened or actual carotid blowout.

Cost-effectiveness of social oocyte freezing in Germany: estimates based on a Markov model.

PURPOSE: Is oocyte freezing for non-medical reasons-the so-called "social freezing" (SF)-cost-effective compared to standard in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) in Germany today? METHODS: We developed a model based on three strategies for women planning to postpone pregnancy. In each strategy, women actively practiced contraception until 40 then tried to conceive naturally for 1 year. If unsuccessful, women using strategy I (oocyte cryopreservation) attempted ICSI with frozen oocytes in the 2nd year, while women using strategy II (no action) further attempted natural conception. In strategy III (IVF/ICSI), women underwent 1 year of IVF/ICSI. If still unsuccessful, each strategy was followed by attempting natural conception again until 45. We used an adaptive Markov model to estimate and compare live birth rates and cost-effectiveness measures. RESULTS: For strategy I, cumulative live birth rates at age 45 generally declined with the woman's age at freezing and were between 71.4% (25 years) and 67.6% (38 years), while the cumulative success rate was 51.5% for strategy II and 60.8% for strategy III. The costs per live birth of egg freezing were age-dependent ranging between 22,418 € (30 years) and 25,590 € (38 years). The costs for strategy III were lower at 20,293 € per live birth. CONCLUSION: Based on our results, social freezing in Germany may lead to additional pregnancies among women over 40 but also to significantly higher costs, since given the current live birth success rates and pricing, social freezing does not appear to be cost-effective.

Serological diagnostics in the detection of IgG autoantibodies against human collagen VII in epidermolysis bullosa acquisita: a multicentre analysis.

BACKGROUND: Epidermolysis bullosa acquisita (EBA) is a rare, potentially devastating autoimmune disease of the skin. IgG autoantibodies directed against type VII collagen (Col7), the major component of anchoring fibrils, induce skin fragility leading to cutaneous and mucocutaneous blister formation, which is mostly of a scarring phenotype. Thus, powerful and reproducible diagnostic assays are critical to establish the diagnosis of EBA early to avoid irreversible sequelae. OBJECTIVES: The present international, retrospective multicentre study included a large cohort of patients with EBA and evaluated the diagnostic power of four different diagnostic assays for the detection of anti-Col7 IgG autoantibodies. METHODS: Overall, 95 EBA sera and 200 control sera consisting of 100 bullous pemphigoid sera, 50 pemphigus vulgaris sera and 50 sera of healthy controls were tested for anti-Col7 IgG autoantibodies using indirect immunofluorescence (IIF), two commercial enzyme-linked immunosorbent assay (ELISA) systems and Western blot (WB) analysis. EBA sera were taken from patients with positive direct immunofluorescence and IgG reactivity in at least one of the immunoserological assays (IIF, ELISA, WB). RESULTS: A Col7-NC1/NC2 ELISA (MBL, Nagoya, Japan) showed the highest sensitivity (97·9%), followed by a Col7-NC1 ELISA (Euroimmun, Lübeck, Germany) (89·5%), WB with Col7-NC1 (85·3%), and IIF on saline-split human skin (74·7%). The specificities of both ELISA systems were comparable (NC1 98·7%, NC1/NC2 99·3%). Furthermore, WB was more sensitive than IIF, which was more specific. CONCLUSIONS: The two commercially available ELISA systems allow for a highly sensitive and specific diagnosis of EBA. The sensitivity of the Col7-NC1/NC2 ELISA is significantly higher compared with the ELISA based on the Col7-NC1 domain only.

Early identification of declining balance in higher functioning older adults, an inertial sensor based method.

Higher functioning older adults rarely have their balance assessed clinically and as such early decline in balance is not captured. Early identification of declining balance would facilitate earlier intervention and improved management of the ageing process. This study sought to determine if (a) a once off inertial sensor measurement and (b) changes in inertial sensor measurements one year apart can identify declining balance for higher functioning older adults. One hundred and nineteen community dwelling older adults (58 males; 72.5±5.8 years) completed a timed up and go (TUG) instrumented with inertial sensors and the Berg balance scale (BBS) at two time points, one year apart. Temporal and spatio-temporal gait parameters as well as angular velocity and turn parameters were derived from the inertial sensor data. A change in balance from baseline to follow-up was determined by sub-components of the BBS. Changes in inertial sensor parameters from baseline to follow-up demonstrated strong association with balance decline in higher functioning older adults (e.g. mean medial-lateral angular velocity odds ratio=0.2; 95% CI: 0.1-0.5). The area under the Receiver operating characteristic curve (AUC) ranged from 0.8 to 0.9, a marked improvement over change in TUG time alone (AUC 0.6-0.7). Baseline inertial sensor parameters had a similar association with declining balance as age and TUG time. For higher functioning older adults, the change in inertial sensor parameters over time may reflect declining balance. These measures may be useful clinically, to monitor the balance status of older adults and facilitate earlier identification of balance deficits.

Musculoskeletal health in South Georgia farmworkers: a mixed methods study.

OBJECTIVE: Musculoskeletal injuries are recognized as an important health issue for farmworkers. This study aimed to assess musculoskeletal health in South Georgia farmworkers through an exploration of pain status, health beliefs, occupational tasks, work conditions, access to care, and demographics. PARTICIPANTS: Interviews were conducted with 83 farmworkers at pro bono medical clinics. METHODS: Mixed methods interview topics, based upon an adapted theoretical model, included: work history, current work practices, musculoskeletal symptoms, health beliefs, acculturation, general health, access to care, and demographics. RESULTS: Pain was reported by 81.9% of participants. The low back (57.4%) and mid back (52.9%) were the most commonly reported sites of pain. Adapted model constructs were identified quantitatively and qualitatively. Open-ended responses described health beliefs, barriers to accessing care, and farmworkers' sense of responsibility to provide for their families. CONCLUSIONS: Data revealed that musculoskeletal pain is common and suggest associations with work tasks and conditions. Numerous barriers to accessing care exist and must be considered. Solutions may include farm-based prevention, enhanced education, improved measurement tools, and ongoing use of ecological models to guide research and interventions.

[Contrast-enhancend sonography (CEUS) in pneumonia: typical patterns and clinical value - a retrospective study on n = 50 patients]. / Kontrastunterstützte Sonografie (CEUS) bei Pneumonie: Darstellungsmuster und prognostische Bedeutung - eine retrospektive Studie bei n = 50 Patienten.

PURPOSE: To describe contrast-enhanced ultrasound (CEUS) patterns of pneumonia, to characterize CEUS patterns and to determine the clinical value of deviant CEUS patterns. PATIENTS AND METHODS: N = 50 patients with radiologically diagnosed alveolar pneumonia were investigated by CEUS and retrospectively evaluated. Pulmonary enhancement was differentiated from bronchial arterial enhancement by measurement of time to enhancement from the application of the contrast agent (CA). The echogenicity of the CA enhancement was evaluated (isoechoic/hypoechoic) using the spleen as an "in vivo reference". In addition, the homogeneity of the CA enhancement (homogeneous/ inhomogeneous) was recorded. The patients were divided into two groups according to the CEUS pattern (type 1/type 2) and compared to each other in terms of age, days of hospitalization, comorbidity, rate of complications and the presence of pleural effusion. RESULTS: The majority showed a type 1 CEUS pattern consisting of a pulmonary arterial supply (92 %), an isoechoic extent of enhancement (74 %) and a homogeneous enhancement (78 %) of the CA in the pulmonary lesions. The only significant difference found between the two groups was the average age. CONCLUSION: Pneumonia most likely shows a type 1 CEUS pattern consisting of a pulmonary arterial supply, an isoechoic extent of enhancement compared to the spleen and a homogeneous enhancement of the CA in the pulmonary lesions. Prognostic value of a type 2 CEUS pattern (bronchial arterial supply and/or hypoechoic extent of enhancement and/or inhomogeneous enhancement) in pneumonia regarding days of hospitalization, comorbidity, rate of complications and the presence of pleural effusion could not be shown.

The performance of conditional tests for family data in associated regions derived from GWAS.

BACKGROUND: Genome-wide association studies (GWAS) have been used successfully to identify genetic loci associated with complex diseases and phenotypes. Often this association takes the form of several significant signals (such as small p-values) in a univariate analysis at various markers within a single genetic region. Once confirmed, these associations lead to the question if a single marker tags the association signal of another, functionally relevant variant or if the single marker tags a functionally relevant haplotype. To deal with this question, methods for family data based on logistic regression, adaptations of the transmission/disequilibrium test (TDT) or weighted haplotype likelihood (WHL) methods have been proposed in the literature. OBJECTIVES: Objectives were to examine the effect of parameters such as sample size, inheritance model, and the effects of linkage disequilibrium (LD) in the region on the ability of a selection of methods to detect an independent effect from an additional locus. METHODS: All methods tested were applied to simulated genetic data of trios comprising a single affected offspring and two parents. RESULTS: While regression-based methods have advantages such as model flexibility, potentially increasing power, the WHL method was more robust against increasing LD in the scenarios analyzed. CONCLUSIONS: Simulation results suggest that the regression and WHL methods are better able with regard to statistical power than the adaptation of the TDT analyzed here to detect genetic effects at an additional locus while controlling for confounding at another locus.

EEG in the healthy term newborn within 12 hours of birth.

OBJECTIVE: To characterise and quantify the EEG during sleep in healthy newborns in the early newborn period. METHODS: Continuous multi-channel video-EEG data was recorded for up to 2 hours in normal newborns within 12 hours of birth. The total amount of active (AS) and quiet sleep (QS) was calculated in the first hour of recording. The EEG signal was quantitatively analysed for symmetry and synchrony. Spectral edge frequency (SEF), spectral entropy (H) and relative delta power (delta(R)) were calculated for a ten-minute segment of AS and QS in each recording. Paired t-test and Wilcoxon rank sum test were used for data analysis. RESULTS: Thirty normal newborn babies were studied, 10 within 6 hours of birth and 20 between 6 and 12 hours. All babies showed continuous symmetrical and synchronous EEG activity and well-developed sleep-wake cycling (SWC) with the median percentage of AS--48.5% and QS--36.6%. Quantitative EEG analysis of sleep epochs showed that SEF and H were significantly higher (p<0.0001) and delta(R) was significantly lower (p<0.0001) in AS than in QS. CONCLUSION: The normal newborn EEG shows symmetrical and synchronous continuous activity and well-developed SWC as early as within the first 6 hours of birth. Quantitative analysis of the EEG in the early postnatal period reveals differences in SEF, H and delta(R) for AS and QS periods. SIGNIFICANCE: These findings may have implications for quantitative analysis of the newborn EEG, including the EEG of babies with hypoxic ischaemic encephalopathy.

Can state or response entropy be used as a measure of sleep depth?

SUMMARY: In this prospective observational study we examined the potential of the spectral entropy measures 'state' and 'response' entropy (Entropy monitor), as measures of sleep depth in 12 healthy adult subjects. Both median state and response entropy values varied significantly with sleep stage (p = 0.017 and p = 0.014 respectively; ANOVA). Median state or response entropy did not decrease significantly during the transition from awake to stage I sleep (p > 0.017). State entropy values decreased significantly between sleep stages I and II (p < 0.001). Both state and response entropy values were significantly less (40 and 45 arbitrary units respectively) in stage III (slow wave sleep) vs stage II sleep (p = 0.008). We conclude that state and response entropy values, when expressed as a function of time, may be a useful means of quantifying aspects of sleep.

Classifier models and architectures for EEG-based neonatal seizure detection.

Neonatal seizures are the most common neurological emergency in the neonatal period and are associated with a poor long-term outcome. Early detection and treatment may improve prognosis. This paper aims to develop an optimal set of parameters and a comprehensive scheme for patient-independent multi-channel EEG-based neonatal seizure detection. We employed a dataset containing 411 neonatal seizures. The dataset consists of multi-channel EEG recordings with a mean duration of 14.8 h from 17 neonatal patients. Early-integration and late-integration classifier architectures were considered for the combination of information across EEG channels. Three classifier models based on linear discriminants, quadratic discriminants and regularized discriminants were employed. Furthermore, the effect of electrode montage was considered. The best performing seizure detection system was found to be an early integration configuration employing a regularized discriminant classifier model. A referential EEG montage was found to outperform the more standard bipolar electrode montage for automated neonatal seizure detection. A cross-fold validation estimate of the classifier performance for the best performing system yielded 81.03% of seizures correctly detected with a false detection rate of 3.82%. With post-processing, the false detection rate was reduced to 1.30% with 59.49% of seizures correctly detected. These results represent a comprehensive illustration that robust reliable patient-independent neonatal seizure detection is possible using multi-channel EEG.

Behaviour of spectral entropy, spectral edge frequency 90%, and alpha and beta power parameters during low-dose propofol infusion.

BACKGROUND: In this study we analyse the behaviour, potential clinical application and optimal cortical sampling location of the spectral parameters: (i) relative alpha and beta power; (ii) spectral edge frequency 90%; and (iii) spectral entropy as monitors of moderate propofol-induced sedation. METHODS: Multi-channel EEG recorded from 12 ASA 1 (American Society of Anesthesiologists physical status 1) patients during low-dose, target effect-site controlled propofol infusion was used for this analysis. The initial target effect-site concentration was 0.5 microg ml(-1) and increased at 4 min intervals in increments of 0.5 to 2 microg ml(-1). EEG parameters were calculated for 2 s epochs in the frequency ranges 0.5-32 and 0.5-47 Hz. All parameters were calculated in the channels: P4-O2, P3-O1, F4-C4, F3-C3, F3-F4, and Fp1-Fp2. Sedation was assessed clinically using the OAA/S (observer's assessment of alertness/sedation) scale. RESULTS: Relative beta power and spectral entropy increased with increasing propofol effect-site concentration in both the 0.5-47 Hz [F(18, 90) = 3.455, P<0.05 and F(18, 90) = 3.33, P<0.05, respectively] and 0.5-32 Hz frequency range. This effect was significant in each individual channel (P<0.05). No effect was seen of increasing effect-site concentration on relative power in the alpha band. Averaged across all channels, spectral entropy did not outperform relative beta power in either the 0.5-32 Hz [Pk=0.79 vs 0.814 (P>0.05)] or 0.5-47 Hz range [Pk=0.81 vs 0.82 (P>0.05)]. The best performing indicator in any single channel was spectral entropy in the frequency range 0.5-47 Hz in the frontal channel F3-F4 (Pk=0.85). CONCLUSIONS: Relative beta power and spectral entropy when considered over the propofol effect-site range studied here increase in value, and correlate well with clinical assessment of sedation.

A comparison of quantitative EEG features for neonatal seizure detection.

OBJECTIVE: This study was undertaken to identify the best performing quantitative EEG features for neonatal seizures detection from a test set of 21. METHODS: Each feature was evaluated on 1-min, artefact-free segments of seizure and non-seizure neonatal EEG recordings. The potential utility of each feature for neonatal seizure detection was determined using receiver operating characteristic analysis and repeated measures t-tests. A performance estimate of the feature set was obtained using a cross-fold validation and combining all features together into a linear discriminant classifier model. RESULTS: Significant differences between seizure and non-seizure segments were found in 19 features for 17 patients. The best performing features for this application were the RMS amplitude, the line length and the number of local maxima and minima. An estimate of the patient independent classifier performance yielded a sensitivity of 81.08% and specificity of 82.23%. CONCLUSIONS: The individual performances of 21 quantitative EEG features in detecting electrographic seizure in the neonate were compared and numerically quantified. Combining all features together into a classifier model led to superior performance than that provided by any individual feature taken alone. SIGNIFICANCE: The results documented in this study may provide a reference for the optimum quantitative EEG features to use in developing and enhancing neonatal seizure detection algorithms.

Seizure detection in neonates: Improved classification through supervised adaptation.

The goal of neonatal seizure detection is the development of a patient independent system to alert staff in the neonatal intensive care unit of ongoing seizures. This study demonstrates the potential in adapting a patient independent classifier using patient specific data. Supervised adaptation is investigated using the basic gradient descent algorithm and least mean squares procedures. An increase in mean ROC area of 3% is obtained for the best performing learning algorithm, yielding an increase in mean accuracy of 7.7% compared to the patient independent algorithm.

Automated single channel seizure detection in the neonate.

Neonatal seizures are the most common neurological emergency in the neonatal period and are associated with poor long-term outcome. EEG is considered the gold standard for identification of all neonatal seizures, reducing the number of EEG electrodes required would reduce patient handling and allow faster acquisition of data. A method for automated neonatal seizure detection based on two carefully chosen cerebral scalp electrodes but trained using multi-channel EEG is presented. The algorithm was developed and tested using a multi-channel EEG dataset containing 411 seizures from 251.9 hours of EEG recorded from 17 full-term neonates. Automated seizure detection using a variety of bipolar channel derivations was investigated. Channel C3-C4 yielded correct detection of 90.77% of seizures with a false detection rate of 9.43%. This compares favourably with a multi-channel seizure detection method which detected 81.03% of seizures with a false detection rate of 3.82%.

Characterisation of heart rate changes and their correlation with EEG during neonatal seizures.

The effect of seizures on instantaneous HR (iHR) in 12 neonates is investigated here. HR can be readily extracted from the ECG and can be employed as an additional signal in seizure detection algorithms. The change in instantaneous HR and its correlation with the change in RMS EEG amplitude were examined. Two methods were employed to classify significant iHR changes. Significant correlation (p 0.05) during seizure was observed in 100% of patients (83.33% of seizures). Overall, significant iHR changes (classified by either method) were found in 83% of patients (50% of seizures). It was found that a markedly higher iHR was observed in patients whose seizures were not classified as having significant iHR changes.

The effect of frequency band on quantitative EEG measures in neonates with hypoxic-ischaemic encephalopathy.

The effect of frequency ranges on three quantitative EEG measures as related to neurodevelopmental outcome at 12-24 months is reported here. Thirteen EEG records from term neonates with moderate hypoxic-ischaemic encephalopathy (HIE) were analyzed. The spectral entropy, spectral edge frequency and relative power were calculated for each EEG channel. 4 separate frequency ranges were employed and their respective variations examined. Graphical and statistical analysis was carried out on the results. Statistical separation between the mean distributions of SEF, H(s) and RP was not observed. The optimal frequency band is dependent on the qEEG measure in question.

Automated estimation of sedation depth from the EEG.

A method is presented for the automatic determination of a patient's level of sedation from the EEG. Six bipolar channels of EEG recorded from 12 adult patients sedated with low-dose propofol (2, 6-disopropylphenol) were used to develop a linear discriminant based system for depth of sedation monitoring using a number of quantitative EEG measures. A cross fold validation estimate of the performance of the algorithm as a patient independent system yielded a sensitivity of 74.70% and a specificity of 81.67%. It is hoped that the methodology reported here could lead to fully automated systems for depth of sedation monitoring.