Notes

Changing between Magnet Bloch as well as Néel Area Walls with Anisotropy Modulations.
Recovery after heart transplantation is challenging and many heart recipients struggle with various transplant-related symptoms, side-effects of immunosuppressive medications and mental challenges. Fatigue has been reported to be one of the most common and distressing symptoms after heart transplantation and might therefore constitute a barrier to self-efficacy, which acts as a moderator of self-management.

To explore the prevalence of fatigue and its relationship to self-efficacy among heart recipients 1-5years after transplantation.

An explorative cross-sectional design, including 79 heart recipients due for follow-up 1-5years after transplantation. Three different self-assessment instruments were employed; The Multidimensional Fatigue Inventory-19, Self-efficacy for managing chronic disease 6-Item Scale and The Postoperative Recovery Profile.

The study was approved by the Regional Ethics Board of Lund (Dnr. 2014/670-14/10) with supplementary approval from the Swedish Ethical Review Authority (Dnr. lem. However, for those suffering from severe fatigue it is a troublesome symptom that affects the recovery process and their ability to return to work. Efforts should be made to identify those troubled by fatigue to enable sufficient self-management support.
Tracheoesophageal diversion (TED) can prevent damage to the respiratory system in patients with swallowing disorders and/or repetitive aspiration pneumonia; however, TED may cause the loss of phonation. Our previous study demonstrated that TED with tracheoesophageal puncture (TEP) prevents aspiration while retaining phonation. In this study, we aimed to further evaluate the feeding status and phonation of patients who underwent TED with TEP to verify the reproducibility of this procedure.

Case series study.

We retrospectively reviewed the medical records of 11 patients who underwent TED with TEP for intractable aspiration from February 2017 to August 2019 at Fukuoka Sanno Hospital. We evaluated the preoperative penetration aspiration score (PPAS), daily activities, preoperative and postoperative food intake level scale (FILS) score, nutrition route, maximum phonation time(MPT), and postoperative communication method.

The study population included 10 men and 1 woman (mean age, 66 years; range, 44-81) with a PPAS of 6.8 ± 1.0. The FILS score changed from 2.1 ± 0.5 preoperatively to 7.5 ± 2.0 postoperatively (paired t-test, P < .05), while the MPT changed from 7.9 ± 4.1 to 10.3 ± 4.2 s (paired t-test, P = .9). Preoperatively, a gastric fistula (eight patients [73%]) was the main nutrition route, followed by a gastric tube (two patients [18%]). Postoperatively, the main nutritional route for eight patients (73%) was oral, while the remaining three patients (27%) used the oral route occasionally. All patients maintained laryngeal phonation function, and eight (73%) used only laryngeal phonation for communication.

Patients with intractable aspiration who wish to retain phonatory function should be advised to undergo TED with TEP.

4 Laryngoscope, 131E1965-E1970, 2021.
4 Laryngoscope, 131E1965-E1970, 2021.
To describe the quality of care for older cancer patients in acute care settings as perceived by the responsible nursing staff.

A cross-sectional study design was used. Data were collected using a questionnaire completed by 90 nursing staff at a university hospital and a city hospital. Quality of care was measured using the Revised Humane Caring Scale. Descriptive statistics, reliability analysis, nonparametric tests and linear regression analysis were used to analyse the data.

Generally, the nursing staff perceived the quality of care as good; however, university hospital nursing staff perceived the quality of care to be better than city hospital nursing staff. Compared with other age groups, nursing staff in the 30- to 40-year age group more frequently indicated that patients' information and participation need improvement. Moreover, supplemental education in cancer care was found to have no significant impact on the quality of care. Altogether, nursing staff disagreed the most about their perceptions of staffing, sufficient time and an unhurried atmosphere.

Nursing staff should focus more on patients' personal needs, particularly with regard to patients' provision of information and participation in care. Younger nurses need more support and mentoring about complex care from their experienced colleagues when performing their work. Leaders should guarantee availability of the adequate number of competent staff in hospital wards.
Nursing staff should focus more on patients' personal needs, particularly with regard to patients' provision of information and participation in care. Younger nurses need more support and mentoring about complex care from their experienced colleagues when performing their work. Leaders should guarantee availability of the adequate number of competent staff in hospital wards.
To create a new strategy for monitoring pediatric otitis media (OM), we developed a brief, reliable, and objective method for automated classification using convolutional neural networks (CNNs) with images from otoscope.

Prospective study.

An otoscopic image classifier for pediatric OM was built upon the idea of deep learning and transfer learning using the two most widely used CNN architectures named Xception and MobileNet-V2. MK571 price Otoscopic images, including acute otitis media (AOM), otitis media with effusion (OME), and normal ears were obtained from our institution. Among qualified otoendoscopic images, 10,703 images were used for training, and 1,500 images were used for testing. In addition, 102 images captured by smartphone with WI-FI connected otoscope were used as a prospective test set to evaluate the model for home screening and monitoring.

For all diagnoses combined in the test set, the Xception model and the MobileNet-V2 model had similar overall accuracies of 97.45% (95% CI 96.81%-97.94%) and 95.72% (95% CI 95.12%-96.16%). The overall accuracies of two models with smartphone images were 90.66% (95% CI 90.21%-90.98%) and 88.56% (95% CI 87.86%-90.05%). The class activation map results showed that the extracted features of smartphone images were the same as those of otoendoscopic images.

We have developed deep learning algorithms for the successfully automated classification of pediatric AOM and OME with otoscopic images. With a smartphone-enabled wireless otoscope, artificial intelligence may assist parents in early detection and continuous monitoring at home to decrease the visit frequencies.

NA Laryngoscope, 2021.
NA Laryngoscope, 2021.
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