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Post‐acute COVID‐19 syndrome in previously hospitalized patients

Abstract

Introduction

With the prolongation of the COVID-19 pandemic, more individuals are experiencing sequelae after COVID-19 infection, also known as post-acute COVID-19 syndrome (PCS). The aims of this study were to describe the prevalence and characteristics of PCS symptoms such as fatigue, anxiety, and depression and to compare these symptoms according to participant characteristics in patients who had been previously hospitalized due to COVID-19.

Design

A descriptive cross-sectional study design was used.

Methods

We included 114 individuals who had been hospitalized for COVID-19 and were discharged from the hospital at least 4 weeks before. Symptoms were assessed using the Fatigue Severity Scale, the Hospital Anxiety-Depression Scale, and the PCS symptom questionnaire developed by the authors. We used descriptive statistics, the Student's t-test, the Wilcoxon rank-sum test, and the Kruskal–Wallis test for statistical analyses.

Results

The most prevalent symptoms were anxiety (66.7%), fatigue (64.0%), headache (57.9%), and concentration or memory difficulties (57.9%). Concentration or memory difficulties and sleep disturbances had the highest mean frequency. Concentration or memory difficulties were rated with the highest mean severity, and cough, loss of taste, and muscle and joint pain had the highest mean distress scores. Female participants, individuals hospitalized for more than 2 weeks, individuals discharged more than 9 months ago, unvaccinated patients, and those who tried at least one symptom relief method reported higher symptom distress.

Conclusion

The findings of this investigation into the frequency, severity, and distress of symptoms shed light on the identification of post-COVID symptoms in detail. To objectively evaluate and comprehend the symptom trajectories of PCS, prospective studies about the development of symptom assessment tools and studies with a longitudinal design should be conducted.

Clinical Relevance

A substantial number of respondents reported numerous symptoms and expressed symptom distress; therefore, the development of nursing interventions and treatments to alleviate PCS symptoms is crucial.

Neural processing of prototypicality and simplicity of product design in forming design preferences

by Erin Cho, Shin-Ae Yoon, Hae-Jeong Park

The current study investigates the neural correlates when processing prototypicality and simplicity—affecting the preference of product design. Despite its significance, not much is known about how our brain processes these visual qualities of design when forming design preferences. We posit that, although fluency is the perceptual judgment accounting for the positive effects of both prototypicality and simplicity on design preference, the neural substrates for the fluency judgment associated with prototypicality would differ from those associated with simplicity. To investigate these issues, we conducted an fMRI study of preference decisions for actual product designs with different levels of prototypicality and simplicity. The results show a significant functional gradient between the preference processing of simplicity and prototypicality–i.e., involvement of the early ventral stream of visual information processing for simplicity evaluation but recruitment of the late ventral stream and parietal-frontal brain regions for prototypicality evaluation. The interaction between the simplicity and prototypicality evaluations was found in the extrastriate cortex in the right hemisphere. The segregated brain involvements suggest that the fluency judgment for prototypicality and simplicity contribute to preference choice in different levels of cognitive hierarchy in the perceptual mechanism of the design preference.

Spousal support, parent–nurse partnership and caregiver burden among parents of children with chronic diseases: A cross‐sectional study

Abstract

Aim

To examine the effects of spousal support and parent–nurse partnership on caregiver burden of parents of children with chronic disease.

Background

With the trend of increasing the global number of children with chronic diseases, the parental caregiver burden has become increasingly prevalent.

Design

Cross-sectional study.

Methods

The study participants included 115 parents of children diagnosed with chronic disease at a general hospital in South Korea. The study duration was 4 June 2021–30 April 2022. Self-reported measures included the parent–nurse partnership scale, the Korean version of the Parenting Alliance Inventory and the family caregiver burden scale. T-tests, ANOVA, Pearson's correlation coefficients and hierarchical linear multiple regression were conducted using IBM SPSS version 26.0. This study followed STROBE guideline.

Results

Parental caregiver burden was significantly negatively associated with spousal support and parent–nurse partnership. Factors significantly influencing caregiver burden were parental alcohol consumption; child's inherited metabolic disease, cardiovascular disease, disease relating to haematological tumours or kidney disease diagnosis; child's health perceived as poor by parents; child's dependency perceived as high by parents; hospitalization recency; and low spousal support. These factors accounted for 65% of caregiver burden.

Conclusion

Parental caregiver burden was related to spousal support and parent–nurse partnership, but the primary factor affecting caregiver burden was spousal support.

Relevance to clinical practice

The results highlighted the role of healthcare professionals in educating parents of children with chronic diseases to facilitate spousal support and have implications for nursing and community-based interventions to reduce parental caregiver burden. Furthermore, they underlined that policymakers and other stakeholders should pay attention to the parental caregiver burden through government-based, family-centered strategies.

Patient or public contribution

Parents of children with chronic disease were recruited to perform the self-administered survey in the phase of data collection.

Efficacy of preoperative lymphoscintigraphy in predicting surgical outcomes of lymphaticovenous anastomosis in lower extremity lymphedema: Clinical correlations in gynecological cancer-related lymphedema

by Min Young Yoo, Kyong-Je Woo, Seo Young Kang, Byung Seok Moon, Bom Sahn Kim, Hai-Jeon Yoon

Background

Lymphaticovenous anastomosis (LVA) is a promising microsurgical treatment for lower extremity lymphedema (LEL). Lymphoscintigraphy effectively assesses lower limb lymphatic systems before LVA, but its role in predicting the therapeutic outcomes of LVA is indeterminate. In this study we investigate the efficacy of preoperative lymphoscintigraphy using clinical findings to predict outcomes in gynecological cancer-related LEL patients who underwent LVA.

Methods

A retrospective review was conducted on consecutive gynecological cancer patients with LEL who had undergone LVA between June 2018 and June 2021. The therapeutic efficacy was assessed by measuring the change rate of the lower extremity lymphedema index (LELi) six months after surgery. Clinical data and lymphoscintigraphic findings were analyzed to assess therapeutic efficacy of LVA.

Results

Out of the 60 evaluated legs, 83.3% of the legs showed improved results after LVA. Univariable linear regression analysis revealed that higher preoperative LELi, and ovarian cancer were associated with superior LELi change rate (LC rate). Absence of dermal backflow (DBF) on lymphoscintigraphy was associated with inferior LC rate. Multivariable linear regression analysis identified ovarian cancer and higher preoperative LELi were independently correlated with favorable outcomes, while the absence of DBF was independently correlated with inferior outcomes.

Conclusion

The results of this study emphasizes the effectiveness of preoperative lymphoscintigraphy, preoperative LELi, and primary malignancy as predictors of LVA outcomes in gynecological cancer-related LEL patients.

Providing a comprehensive approach to oil well blowout risk assessment

by Mostafa Satiarvand, Neda Orak, Katayoon Varshosaz, Elham Mobarak Hassan, Mahboobeh Cheraghi

Drilling is one of the most dangerous activities in the oil and gas process industries. Therefore, a holistic approach was presented to prevent and control risks and reduce the uncertainty of blowouts, kick scenarios, and control layers based on the Fuzzy Bayesian Network (FBN). Four independent protection layers (IPLs) were used to evaluate the blowout outcome, and the failure probabilities of IPL1 and IPL2 were calculated with Fault Tree Analysis (FTA). Then, different events were transferred to the Bayesian Network (BN) in GeNIe software, and updated the probabilities. The Fuzzy Fault Tree (FFT) results reveal that the failure probabilities for IPL1 and IPL2 amount to 8.94×10−4 and 4.97×10−21, respectively. Also, the blowout probability results based on FFT were larger than FBN. According to FBN, the probability of the kick event was equal to 6.60×10−34. Sensitivity analysis showed that X1 (Mud volume/flow change) had the highest degree of importance in the blowout of oil wells. The results of this study can be used in both a preventive and reactive approach. Deductive and inductive reasoning, the dynamic nature and conditional dependencies, and causal relationships between events can make the model more realistic.

Changes in life satisfaction among middle-aged adults living alone over a 12-year span

by Jaehee Yoon, Jeewuan Kim, Joohyun Chung, Heesook Son

This secondary analysis used data collected for the Korean Longitudinal Study of Aging from 2006 to 2018 to examine changes in life satisfaction among middle-aged adults living alone in South Korea. Individuals who were over 45 years of age, lived alone at the time of the first data collection wave, and responded at least twice to the survey over the 12-year study period were included in the final linear mixed model (N = 124). Life satisfaction increased for those who had increased assets, were widowed, and had more frequent contact with acquaintances (i.e., once a month and once a week compared with once a year). Life satisfaction decreased as the number of chronic illnesses increased for underweight individuals compared with normal weight or overweight individuals and for depressed versus non-depressed individuals. This study’s findings indicate that increased social support is beneficial for middle-aged marginalized individuals, including those who are economically disadvantaged, have few social interactions, are underweight, and have chronic illnesses.

Application of Skyline software for detecting prohibited substances in doping control analysis

by Hyeon-Jeong Lee, Mijin Jeon, Yoondam Seo, Inseon Kang, Wooyeon Jeong, Junghyun Son, Eugene C. Yi, Hophil Min

As the number of prohibited drugs has been progressively increasing and analytical methods for detecting such substances are renewed continuously for doping control, the need for more sensitive and accurate doping analysis has increased. To address the urgent need for high throughput and accurate analysis, liquid chromatography with tandem mass spectrometry is actively utilized in case of most of the newly designated prohibited substances. However, because all mass spectrometer vendors provide data processing software that is incapable of handling other instrumental data, it is difficult to cover all doping analysis procedures, from method development to result reporting, on one platform. Skyline is an open-source and vendor-neutral software program invented for the method development and data processing of targeted proteomics. Recently, the utilization of Skyline has been expanding for the quantitative analysis of small molecules and lipids. Herein, we demonstrated Skyline as a simple platform for unifying overall doping control, including the optimization of analytical methods, monitoring of data quality, discovery of suspected doping samples, and validation of analytical methods for detecting newly prohibited substances. For method optimization, we selected the optimal collision energies for 339 prohibited substances. Notably, 195 substances exhibited a signal intensity increase of >110% compared with the signal intensity of the original collision energy. All data related to method validation and quantitative analysis were efficiently visualized, extracted, or calculated using Skyline. Moreover, a comparison of the time consumed and the number of suspicious samples screened in the initial test procedure highlighted the advantages of using Skyline over the commercially available software TraceFinder in doping control.

The genes significantly associated with an improved prognosis and long-term survival of glioblastoma

by Hong Gyu Yoon, Jin Hwan Cheong, Je Il Ryu, Yu Deok Won, Kyueng-Whan Min, Myung-Hoon Han

Background and purpose

Glioblastoma multiforme (GBM) is the most devastating brain tumor with less than 5% of patients surviving 5 years following diagnosis. Many studies have focused on the genetics of GBM with the aim of improving the prognosis of GBM patients. We investigated specific genes whose expressions are significantly related to both the length of the overall survival and the progression-free survival in patients with GBM.

Methods

We obtained data for 12,042 gene mRNA expressions in 525 GBM tissues from the Cancer Genome Atlas (TCGA) database. Among those genes, we identified independent genes significantly associated with the prognosis of GBM. Receiver operating characteristic (ROC) curve analysis was performed to determine the genes significant for predicting the long-term survival of patients with GBM. Bioinformatics analysis was also performed for the significant genes.

Results

We identified 33 independent genes whose expressions were significantly associated with the prognosis of 525 patients with GBM. Among them, the expressions of five genes were independently associated with an improved prognosis of GBM, and the expressions of 28 genes were independently related to a poorer prognosis of GBM. The expressions of the ADAM22, ATP5C1, RAC3, SHANK1, AEBP1, C1RL, CHL1, CHST2, EFEMP2, and PGCP genes were either positively or negatively related to the long-term survival of GBM patients.

Conclusions

Using a large-scale and open database, we found genes significantly associated with both the prognosis and long-term survival of patients with GBM. We believe that our findings may contribute to improving the understanding of the mechanisms underlying GBM.

Clinical efficacy of inhaled corticosteroids in patients with coronavirus disease 2019: A living review and meta-analysis

by Su-Yeon Yu, Miyoung Choi, Seungeun Ryoo, Chelim Cheong, Kyungmin Huh, Young Kyung Yoon, Su Jin Jeong

Inhaled corticosteroids are known to be relatively safe for long-term use in inflammatory respiratory diseases and it has been repurposed as one of the potential therapies for outpatients with coronavirus disease 2019 (COVID-19). However, inhaled corticosteroids have not been accepted for COVID-19 as a standard therapy because of its lack of proven benefits. Therefore, this study aimed to evaluate the effectiveness of inhaled corticosteroids in patients with COVID-19. Randomized controlled trials comparing the efficacy of inhaled corticosteroid treatment in patients with COVID-19 were identified through literature electronic database searches up to March 10, 2023. Meta-analyses were conducted for predefined outcomes, and the certainty of evidence was graded using the grading of recommendations, assessment, development, and evaluation approach. Overall, seven trials (eight articles) were included in this systematic review. Compared with usual care, inhaled corticosteroids was associated with significantly improved clinical recovery at 7 and 14 days in patients with COVID-19. In subgroup analysis, only budesonide showed significant efficacy in clinical recovery, whereas no significant benefit was observed for ciclesonide. Moreover, inhaled corticosteroids use was not significantly associated with all-cause hospitalization, all-cause mortality, admission to intensive care unit, or the use of mechanical ventilation. Our systematic review used evidence with very low to moderate certainty. Although based on limited evidence, our results suggest that inhaled corticosteroids treatment, especially budesonide, improves the clinical recovery of patients with COVID-19. More trials and meta-analyses are needed to assess the efficacy of inhaled corticosteroids for COVID-19 treatment.

Eight‐year trajectories and predictors of cognitive function in community‐dwelling Korean older adults with cardiovascular diseases

Abstract

Purpose

This study aims to identify longitudinal patterns and predictors of cognitive function trajectories among Korean older adults with cardiovascular diseases.

Design

This study is a longitudinal panel analysis based on secondary data. Data from the the Korean Longitudinal Study of Ageing (KLoSA) were used for analysis.

Methods

The KLoSA is a representative panel survey of older Koreans. We analyzed responses from 301 participants aged ≥65 years who completed the same survey more than three times out of five waves between 2012 and 2020.

Findings

Latent class growth modeling identified two trajectories of cognitive function in older people with cardiovascular diseases: “low and declining” (n = 81, 26.9%) and “high and declining” (n = 220, 73.1%). Participants in “the low and declining trajectory group” were more likely to have a low educational level, weak handgrip strength, depression, and low social participation at baseline than those in “the high and declining trajectory group.”

Conclusions

Our results indicate a need to develop community-based tailored interventions for improving handgrip strength, mental health, and social participation in delaying cognitive decline in older people with cardiovascular diseases considering their educational level.

Clinical Relevance

Healthcare providers should be more concerned about older people with a weaker handgrip, depression, and low social activities as a high-risk group for cognitive decline over time in cardiovascular care. Therefore, it is necessary to evaluate them early with standardized tools and make subsequent strategies for the older population with cardiovascular diseases.

The impact of organizational compassion in health care on clinicians: A scoping review

Abstract

Background

The unprecedented exodus of workers from the healthcare system is a patient safety crisis. Organizational compassion in health care is the proactive, systematic, and continuous identification, alleviation, and prevention of all sources of suffering.

Aims

This scoping review aimed to describe the evidence regarding the impact of organizational compassion on clinicians, identify gaps, and provide recommendations for future research.

Methods

A comprehensive librarian-assisted database search was conducted. Databases searched were PubMed, SCOPUS, EMBASE, Web of Science, PsychInfo, and Business Source Complete. Combinations of search terms regarding health care, compassion, organizational compassion, and workplace suffering were used. The search strategy was limited to English language articles and those published between 2000 and 2021.

Results

Database search yielded 781 articles. After removing duplicates, 468 were screened by title and abstract, and 313 were excluded. One-hundred and fifty-five underwent full-text screening, and 137 were removed, leaving 18 eligible articles, two of which were set in the United States. Ten articles evaluated barriers or facilitators to organizational compassion, four evaluated elements of compassionate leadership, and four evaluated the Schwartz Center Rounds intervention. Several described the need to create systems that are compassionate to clinicians. Lack of time, support staff, and resources impeded the delivery of such interventions.

Linking evidence to action

Little research has been done to understand and evaluate the impact of compassion on US clinicians. Given the workforce crisis in American health care and the potential positive impact of increasing compassion for clinicians, there is an urgent need for researchers and healthcare administrators to fill this gap.

The experience of Black Americans with long COVID: Comment

Journal of Clinical Nursing, Volume 32, Issue 23-24, Page 8153-8153, December 2023.
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