Tag: pubmed

BMC Geriatr. 2022 Nov 21;22(1):883. doi: 10.1186/s12877-022-03524-3.

ABSTRACT

BACKGROUND: Sensory impairments are common among older adults. These impairments have consequences on activities of daily living and communication with others. Such impairments for the elderly remain a significant public health issue globally. This study aimed to assess effect of nursing guidelines on first-year nursing students’ knowledge and reported practice towards sensory impairment among the elderly.

METHOD: A Pre- and post-test research design was utilized in this study to assess first year nursing students’ knowledge and reported practice towards sensory impairments among the elderly. It was carried out at faculties of nursing affiliated with three universities with a purposive sample (n = 531) of the first-year nursing students. The study was conducted in four phases: Pre-intervention assessment, nursing guidelines development, nursing guidelines implementation, and post-test after one month. The pre- and post-tests were conducted online and included three parts to collect the required data about students’ socio-demographic data, students’ knowledge about the five senses and changes in these senses among the elderly, and the students’ reported practice for coping with changes in these senses among elderly. Student t-tests and an ANOVA test were used to compare means. For qualitative data, comparison was done using chi-square. Pearson correlation coefficient was used for detecting the relations between continuous variables of the study.

RESULTS: There are statistically significant differences between the studied subjects means score knowledge and reported practice about the five senses among elderly people in the pre- and the post-tests (P = 0.001). At pre-test the total score mean of students’ knowledge was 24.25 while at post-test became 28.16. At pre-test the total score mean of students’ reported practice was 38.40 while at post-test became 44.43. There is a relationship between students’ knowledge and their reported practice at both pre-test and post-test with P value = 0.001.

CONCLUSION: The levels of the first-year nursing students’ knowledge and reported practice of the studied sample towards sensory impairment among the elderly were improved after implementation of the nursing guidelines. So, it is recommended that these nursing guidelines could be embedded within the undergraduate curriculum. Raising students’ awareness through providing lectures, and workshops on sensory impairment among elderly and how to deal with them, and train students on how to communicate with sensory impairment among the elderly.

PMID:36411407 | DOI:10.1186/s12877-022-03524-3

BMC Public Health. 2022 Nov 21;22(1):2135. doi: 10.1186/s12889-022-14557-z.

ABSTRACT

BACKGROUND: Insomnia and suicidal thoughts are two of the negative impacts that have been caused by the COVID-19 pandemic. Identifying the factors that contribute to these psychological problems may help develop strategies to sustain the mental health of the public. The present study examined the psychosocial impacts caused by the COVID-19 pandemic among different populations in Taiwan, and investigated the relationships between these psychosocial variables, insomnia, and suicidal thoughts.

METHODS: Between September 2020 and May 2021, online questionnaires including psychometrically validated scales were distributed to a convenience sample of outpatients (n = 205), healthcare workers (HCWs) (n = 500), and individuals in the general population (n = 1200) in Taiwan to collect data regarding their insomnia severity, suicidal thoughts, fear of COVID-19, trust of information, and resilience. Multivariate logistic regression methods were used to identify variables associated with suicidal thoughts and insomnia.

RESULTS: Greater fear of COVID-19 was significantly associated with suicidal thoughts: odds ratios (ORs) with 95% confidence interval (CI) = 1.155 (1.002-1.330) for outpatients; 1.127 (1.035-1.228) for HCWs; and 1.100 (1.130-1.222) for those in the general population. Higher resilience was significantly associated with lower insomnia: OR (95% CI) = 0.819 (0.725-0.926) for outpatients; 0.803 (0.728-0.887), for HCWs; 0.829 (0.785-0.875), and for those in the general population. In addition, there was a statistically significant association between insomnia diagnosis and greater fear of COVID-19 among HCWs (OR [95% CI] = 1.102 [1.062-1.144]) and those in the general population (OR [95% CI] = 1.079 [1.053-1.106]). Among outpatients, there was a statistically significant association between suicidal thoughts and lower trust of information (OR [95% CI] = 0.794 [0.646-0.976]), while among those in the general population there was a statistically significant association between suicidal thoughts and higher insomnia severity (OR [95% CI] = 1.175 [1.13-1.222]). A statistically significant association was also found between insomnia diagnosis and higher suicidal thoughts among those in the general population (OR [95% CI] = 3.455 [2.338-5.106]).

CONCLUSIONS: Trust of information, fear, and resilience were important factors for suppressing suicidal thoughts and insomnia among the three study populations. Health policies that monitor psychological status and build resiliency of the public are recommended to help develop tailored strategies for different populations affected by the COVID-19 pandemic.

PMID:36411400 | DOI:10.1186/s12889-022-14557-z

J Sch Health. 2022 Nov 21. doi: 10.1111/josh.13271. Online ahead of print.

ABSTRACT

BACKGROUND: About 20-30% of children worldwide report depressive symptoms. This study examined associations between children’s depressive symptoms, life events, and family factors.

METHODS: Nationally representative data (n = 95,725) were drawn from the 2017 School Health Promotion Study in Finland. The respondents were 4th and 5th grade pupils (aged 10-12) in primary schools and their parents/guardians (n = 33,726). Data were analyzed for child-parent dyads (n = 32,181). Associations were studied using cross tabulation and logistic regression models.

RESULTS: Children’s reports of poor self-rated health, problems with family interactions, and the accumulation of life events were statistically significantly associated with depressive symptoms, also when controlling for sociodemographic factors. Financial situation and parent’s depressed mood, both reported by parents, were associated with children’s depressive symptoms when both were included in the regression model. However, this association disappeared when other predictors were added to the model.

CONCLUSION: The results make apparent the complex associations between children’s depressive symptoms and family factors. Further research is needed on the discrepancies between parent and child experiences.

PMID:36411393 | DOI:10.1111/josh.13271

Eur Radiol Exp. 2022 Nov 22;6(1):55. doi: 10.1186/s41747-022-00308-7.

ABSTRACT

BACKGROUND: Magnetic resonance imaging (MRI) can be used to target tumour components in biopsy procedures, while the ability to precisely correlate histology and MRI signal is crucial for imaging biomarker validation. Robotic MRI/computed tomography (CT) fusion biopsy offers the potential for this without in-gantry biopsy, although requires development.

METHODS: Test-retest T1 and T2 relaxation times, attenuation (Hounsfield units, HU), and biopsy core quality were prospectively assessed (January-December 2021) in a range of gelatin, agar, and mixed gelatin/agar solutions of differing concentrations on days 1 and 8 after manufacture. Suitable materials were chosen, and four biopsy phantoms were constructed with twelve spherical 1-3-cm diameter targets visible on MRI, but not on CT. A technical pipeline was developed, and intraoperator and interoperator reliability was tested in four operators performing a total of 96 biopsies. Statistical analysis included T1, T2, and HU repeatability using Bland-Altman analysis, Dice similarity coefficient (DSC), and intraoperator and interoperator reliability.

RESULTS: T1, T2, and HU repeatability had 95% limits-of-agreement of 8.3%, 3.4%, and 17.9%, respectively. The phantom was highly reproducible, with DSC of 0.93 versus 0.92 for scanning the same or two different phantoms, respectively. Hit rate was 100% (96/96 targets), and all operators performed robotic biopsies using a single volumetric acquisition. The fastest procedure time was 32 min for all 12 targets.

CONCLUSIONS: A reproducible biopsy phantom was developed, validated, and used to test robotic MRI/CT-fusion biopsy. The technique was highly accurate, reliable, and achievable in clinically acceptable timescales meaning it is suitable for clinical application.

PMID:36411379 | DOI:10.1186/s41747-022-00308-7

Nat Biomed Eng. 2022 Nov 21. doi: 10.1038/s41551-022-00961-8. Online ahead of print.

ABSTRACT

Gene transcription is regulated through complex mechanisms involving non-coding RNAs (ncRNAs). As the transcription of ncRNAs, especially of enhancer RNAs, is often low and cell type specific, how the levels of RNA transcription depend on genotype remains largely unexplored. Here we report the development and utility of a machine-learning model (MENTR) that reliably links genome sequence and ncRNA expression at the cell type level. Effects on ncRNA transcription predicted by the model were concordant with estimates from published studies in a cell-type-dependent manner, regardless of allele frequency and genetic linkage. Among 41,223 variants from genome-wide association studies, the model identified 7,775 enhancer RNAs and 3,548 long ncRNAs causally associated with complex traits across 348 major human primary cells and tissues, such as rare variants plausibly altering the transcription of enhancer RNAs to influence the risks of Crohn’s disease and asthma. The model may aid the discovery of causal variants and the generation of testable hypotheses for biological mechanisms driving complex traits.

PMID:36411359 | DOI:10.1038/s41551-022-00961-8

Nat Microbiol. 2022 Nov 21. doi: 10.1038/s41564-022-01263-0. Online ahead of print.

ABSTRACT

The Klebsiella group, found in humans, livestock, plants, soil, water and wild animals, is genetically and ecologically diverse. Many species are opportunistic pathogens and can harbour diverse classes of antimicrobial resistance genes. Healthcare-associated Klebsiella pneumoniae clones that are non-susceptible to carbapenems can spread rapidly, representing a high public health burden. Here we report an analysis of 3,482 genome sequences representing 15 Klebsiella species sampled over a 17-month period from a wide range of clinical, community, animal and environmental settings in and around the Italian city of Pavia. Northern Italy is a hotspot for hospital-acquired carbapenem non-susceptible Klebsiella and thus a pertinent setting to examine the overlap between isolates in clinical and non-clinical settings. We found no genotypic or phenotypic evidence for non-susceptibility to carbapenems outside the clinical environment. Although we noted occasional transmission between clinical and non-clinical settings, our data point to a limited role of animal and environmental reservoirs in the human acquisition of Klebsiella spp. We also provide a detailed genus-wide view of genomic diversity and population structure, including the identification of new groups.

PMID:36411354 | DOI:10.1038/s41564-022-01263-0

Commun Med (Lond). 2022 Nov 21;2(1):147. doi: 10.1038/s43856-022-00215-3.

ABSTRACT

BACKGROUND: Currently, alternative medical imaging methods for the assessment of pulmonary involvement in patients infected with COVID-19 are sought that combine a higher sensitivity than conventional (attenuation-based) chest radiography with a lower radiation dose than CT imaging.

METHODS: Sixty patients with COVID-19-associated lung changes in a CT scan and 40 subjects without pathologic lung changes visible in the CT scan were included (in total, 100, 59 male, mean age 58 ± 14 years). All patients gave written informed consent. We employed a clinical setup for grating-based dark-field chest radiography, obtaining both a dark-field and a conventional attenuation image in one image acquisition. Attenuation images alone, dark-field images alone, and both displayed simultaneously were assessed for the presence of COVID-19-associated lung changes on a scale from 1 to 6 (1 = surely not, 6 = surely) by four blinded radiologists. Statistical analysis was performed by evaluation of the area under the receiver-operator-characteristics curves (AUC) using Obuchowski’s method with a 0.05 level of significance.

RESULTS: We show that dark-field imaging has a higher sensitivity for COVID-19-pneumonia than attenuation-based imaging and that the combination of both is superior to one imaging modality alone. Furthermore, a quantitative image analysis shows a significant reduction of dark-field signals for COVID-19-patients.

CONCLUSIONS: Dark-field imaging complements and improves conventional radiography for the visualisation and detection of COVID-19-pneumonia.

PMID:36411311 | DOI:10.1038/s43856-022-00215-3

Sci Rep. 2022 Nov 21;12(1):20008. doi: 10.1038/s41598-022-24227-0.

ABSTRACT

18F-FDG-PET/CT is standard to assess response in Hodgkin lymphoma by quantifying metabolic activity with the Deauville score. PET/CT, however, is time-consuming, cost-extensive, linked to high radiation and has a low availability. As an alternative, we investigated radiomics from non-contrast-enhanced computed tomography (NECT) scans. 75 PET/CT examinations of 43 patients on two different scanners were included. Target lesions were classified as Deauville score 4 positive (DS4+) or negative (DS4-) based on their SUVpeak and then segmented in NECT images. From these segmentations, 107 features were extracted with PyRadiomics. All further statistical analyses were then performed scanner-wise: differences between DS4+ and DS4- manifestations were assessed with the Mann-Whitney-U-test and single feature performances with the ROC-analysis. To further verify the reliability of the results, the number of features was reduced using different techniques. The feature median showed a high sensitivity for DS4+ manifestations on both scanners (scanner A: 0.91, scanner B: 0.85). It furthermore was the only feature that remained in both datasets after applying different feature reduction techniques. The feature median from NECT concordantly has a high sensitivity for DS4+ Hodgkin manifestations on two different scanners and thus could provide a surrogate for increased metabolic activity in PET/CT.

PMID:36411307 | DOI:10.1038/s41598-022-24227-0

Sci Rep. 2022 Nov 21;12(1):19997. doi: 10.1038/s41598-022-24569-9.

ABSTRACT

A fully hydroxyapatite (HA)-coated stem such as Corail stem, that compacts the cancellous bone around the stem in total hip arthroplasty (THA), is reported to have good long-term results for more than 20 years. Although various fully HA-coated stems have being used recently, it is unclear whether there are differences in the postoperative outcomes. In this study, 224 patients (234 hips) with THA using either the Corail collarless stem or the Hydra stem were enrolled. And then we performed a retrospective comparison of the data at 2 years postoperatively using propensity score matching analysis. The postoperative modified Harris hip scores in 84 hips each group were 93.6 ± 8.2 points in the Corail group and 92.8 ± 10.1 points in the Hydra group, and there was no significant difference between the two groups. However, there was significantly less stem subsidence and rate of 3rd degree or greater stress shielding in the Corail group. Although these two stems were similar collarless fully HA-coated stems and clinical outcomes were favorable results in both groups at 2 years postoperatively, radiographic evaluations showed statistically significant differences between the two groups.

PMID:36411306 | DOI:10.1038/s41598-022-24569-9

Sci Rep. 2022 Nov 21;12(1):20005. doi: 10.1038/s41598-022-20991-1.

ABSTRACT

Modern datasets are characterized by numerous features related by complex dependency structures. To deal with these data, dimensionality reduction techniques are essential. Many of these techniques rely on the concept of intrinsic dimension (id), a measure of the complexity of the dataset. However, the estimation of this quantity is not trivial: often, the id depends rather dramatically on the scale of the distances among data points. At short distances, the id can be grossly overestimated due to the presence of noise, becoming smaller and approximately scale-independent only at large distances. An immediate approach to examining the scale dependence consists in decimating the dataset, which unavoidably induces non-negligible statistical errors at large scale. This article introduces a novel statistical method, Gride, that allows estimating the id as an explicit function of the scale without performing any decimation. Our approach is based on rigorous distributional results that enable the quantification of uncertainty of the estimates. Moreover, our method is simple and computationally efficient since it relies only on the distances among data points. Through simulation studies, we show that Gride is asymptotically unbiased, provides comparable estimates to other state-of-the-art methods, and is more robust to short-scale noise than other likelihood-based approaches.

PMID:36411305 | DOI:10.1038/s41598-022-20991-1