RESUMEN
Ischemic stroke (IS) has a high recurrence rate. Machine learning (ML) models have been developed based on single-modal biochemical tests, and imaging data have been used to predict stroke recurrence. However, the prediction accuracy of these models is not sufficiently high. Therefore, this study aimed to collect biochemical detection and magnetic resonance imaging (MRI) data to establish a dataset and propose a high-performance heterogeneous multimodal IS recurrence prediction model based on deep learning. This is a retrospective cohort study. Data were retrospectively collected from 634 IS patients in Zhuhai, China, a 12-month follow-up was conducted to determine stroke recurrence. We propose the ischemic stroke multi-group learning (ISGL) model, an integrated model for predicting the recurrence risk of multimodal IS in patients, based on a capsule neural network and a linear support vector machine (SVM). Two capsule neural network prediction models based on T1 and T2 signals in the MRI data and a SVM prediction model based on biochemical test data were established. Finally, a vote was conducted on the final judgment of the integrated model. The ISGL model was compared with 6 classical ML and deep learning models: k-nearest neighbors, SVM, logistic regression, random forest, eXtreme Gradient Boosting, and visual geometry group. The results revealed that the accuracy, specificity, sensitivity and the area under the curve of the ISGL model were 95%, 96%, 94%, and 95%, respectively. Among the comparison models, the visual geometry group method exhibited the best performance, but it much lower than those of the ISGL model. Analysis of the importance of biochemical test data revealed that low-density lipoprotein, smoking, and heart disease history were the positively correlated factors, and total cholesterol, high-density lipoprotein, and diabetes were and the negatively correlated factors. This study proposes the ISGL model can be used simultaneously with MRI and biochemical data to predict IS recurrence. This combination resulted in higher rate of performance than that of the other ML models. Additionally, this study found related risk factors affected recurrence, which can be used to intervene in high-risk patients' recurrence as early as possible and promote the development of secondary prevention of stroke.
Asunto(s)
Accidente Cerebrovascular Isquémico , Imagen por Resonancia Magnética , Redes Neurales de la Computación , Recurrencia , Máquina de Vectores de Soporte , Humanos , Masculino , Femenino , Persona de Mediana Edad , Estudios Retrospectivos , Accidente Cerebrovascular Isquémico/diagnóstico por imagen , Imagen por Resonancia Magnética/métodos , Anciano , China/epidemiología , Aprendizaje ProfundoRESUMEN
Background: Metabolic syndrome(MetS) and depression are independently associated with type 2 diabetes (T2DM) risk. However, little is known about the combined effect of MetS and depression on the risk of T2DM. The present study aims to prospectively explore the impact of MetS and depression on T2DM susceptibility among the Chinese general population. Methods: 6489 general population without T2DM adults in Southwest China were recruited from 2010 to 2012. Depression and MetS were prospectively assessed using a 9-item Patient Health Questionnaire(PHQ-9) and Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) (CDS2020) during 2016-2020, respectively. Modified Poisson regression models were conducted to estimate relative risk(RR) and 95% confidence intervals (95%CI) for independent and combined associations of MetS and depression with an incidence of T2DM. Results: During a median follow-up of 6.6 years, 678 cases of T2DM were documented. Individuals with MetS were 1.33 times more likely to develop T2DM than those without MetS. The corresponding RR(95%CI) for depression with no depression was 1.45(1.22-1.72). Notably, compared with no MetS or depression, the multivariate-adjusted RR for a combined effect of MetS and depression on the risk of T2DM was 2.11(1.39-3.22). Moreover, an increased risk of T2DM was more apparent in those ≥ 60 years, males, and overweight. Conclusions: Individuals with multimorbidity of MetS and depression are at a higher risk of T2DM compared with those with no MetS or depression.
Asunto(s)
Depresión , Diabetes Mellitus Tipo 2 , Síndrome Metabólico , Multimorbilidad , Humanos , Diabetes Mellitus Tipo 2/epidemiología , Diabetes Mellitus Tipo 2/complicaciones , Síndrome Metabólico/epidemiología , Síndrome Metabólico/complicaciones , Masculino , Femenino , China/epidemiología , Persona de Mediana Edad , Depresión/epidemiología , Adulto , Estudios de Cohortes , Anciano , Estudios Prospectivos , Factores de Riesgo , Incidencia , Estudios de SeguimientoRESUMEN
BACKGROUND AND OBJECTIVE: Stroke is a disease with high mortality and disability. Importantly, the fatality rate demonstrates a significant increase among patients afflicted by recurrent strokes compared to those experiencing their initial stroke episode. Currently, the existing research encounters three primary challenges. The first is the lack of a reliable, multi-omics image dataset related to stroke recurrence. The second is how to establish a high-performance feature extraction model and eliminate noise from continuous magnetic resonance imaging (MRI) data. The third is how to integration multi-omics data and dynamically weighted for different omics data. METHODS: We systematically compiled MRI and conventional detection data from a cohort comprising 737 stroke patients and established PSTSZC, a multi-omics dataset for predicting stroke recurrence. We introduced the first-ever Integrated Multi-omics Prediction Model for Stroke Recurrence, MPSR, which is based on ResNet, Lnet-transformer, LSTM and dynamically weighted DNN. The MPSR model comprises two principal modules, the Feature Extraction Module, and the Integrated Multi-Omics Prediction Module. In the Feature Extraction module, we proposed a novel Lnet regularization layer, which effectively addresses noise issues in MRI data. In the Integrated Multi-omics Prediction Module, we propose a dynamic weighted mechanism based on evaluators, which mitigates the noise impact brought about by low-performance omics. RESULTS: We compared seven single-omics models and six state-of-the-art multi-omics stroke recurrence models. The experimental results demonstrate that the MPSR model exhibited superior performance. The accuracy, AUROC, specificity, and sensitivity of the MPSR model can reach 0.96, 0.97, 1, and 0.94, respectively, which is higher than the results of contrast model. CONCLUSION: MPSR is the first available high-performance multi-omics prediction model for stroke recurrence. We assert that the MPSR model holds the potential to function as a valuable tool in assisting clinicians in accurately diagnosing individuals with a predisposition to stroke recurrence.
Asunto(s)
Imagen por Resonancia Magnética , Recurrencia , Accidente Cerebrovascular , Humanos , Accidente Cerebrovascular/diagnóstico por imagen , Imagen por Resonancia Magnética/métodos , Masculino , Femenino , Anciano , Genómica/métodos , Persona de Mediana Edad , MultiómicaRESUMEN
BACKGROUND: Studies have shown that Chinese Clinicians and nurses have positive attitudes toward ACP, but no local tools exist to assess their need for ACP knowledge and skills training. resulting in their inability to initiate ACP conversations as well as poor end-of-life care for patients. Therefore, this study aims to assess the needs of Chinese Clinicians and nurses for ACP knowledge and skills training and assess the validity and reliability of a questionnaire on the Training Needs for Advance Care Planning (TNACP) scale. METHODS: From October to November 2021, 170 clinicians and nurses were pre-surveyed using a preliminary draft of the questionnaire. The responses were screened using item analysis, Cronbach's alpha coefficient, and the intraclass correlation coefficient (ICC) to describe the internal consistency and stability of the questionnaire. The Content validity index (CVI), Exploratory factor analysis (EFA) and Confirmatory factor analysis (CFA) were used to test the validity of the questionnaire. RESULTS: After independent samples t-test analysis, Except for the entry "A2", the critical ratio between the two groups of the remaining 23 items was statistically significant (p < 0.05). Based on the above screening methods, the "A2" item was deleted, and the final number of questionnaire items was 23. The I-CVI was 0.79-1.00, and the S-CVI/Ave was 0.90. Three common factors were extracted-the cumulative contribution rate was 69.969%, and the factor loading of all items was 0.506-0.843 (all > 0.40). The results of confirmatory factor analysis showed that the Training Needs for Advance Care Planning (TNACP) scale model fit well(X2/df = 2.504, RMSEA = 0.092, GFI = 0.809, AGFI = 0.745, CFI = 0.931, IFI = 0.932, TLI = 0.916); the Cronbach's α = 0.888 for the total questionnaire, and the three dimensions of Cronbach's α were 0.729 to 0.959; and the ICC for the overall scores between the test-retest evaluations was 0.884 (p < 0.001). CONCLUSIONS: The TNACP scale has good reliability and validity and can be used to assess Chinese Clinicians and nurses' training needs for implementing ACP.
RESUMEN
While over 40 neonatal pain assessment scales have been published, owing to a lack of consensus and standardized metrics, there are more than 100 assessment indicators with varying descriptors and quality differences. This study aims to reach a consensus on optimal and comprehensive variables for neonatal pain assessment, leading to the development of a multidimensional neonatal pain response variable set. This study consisted of three phases: (1) A literature review was conducted to identify influencing factors and assessment indicators of neonatal pain response. (2) Panel meetings involving neonatal healthcare professionals evaluated and screened factors and indicators to develop an initial draft of the variable set. (3) Through two rounds of Delphi study achieved consensus, and determined the neonatal pain response variable set. Through a literature review and a panel meeting, the identified factors and indicators were categorized into contextual, physiological, and behavioral variables, forming an initial draft of the variable set. Sixteen professionals participated in two rounds of the Delphi study, with response rates exceeding 70%, and authority coefficients surpassing 0.7 in both rounds. The final iteration of the variable set includes 9 contextual variables, 2 physiological variables, and 5 behavioral variables. Conclusion: Neonatal pain response variable set developed in this study is scientific, comprehensive, and multidimensional, aligning with the characteristics of neonatal pain response and clinically applicable. The inclusion of contextual variables enhances the ability to confront the complexity of clinical environments and individual differences. It can provide a practical and theoretical basis for clinical research on neonatal pain assessment. What is Known: ⢠Neonatal pain assessment relies on scales used by healthcare professionals currently. But there is no "gold standard" for neonatal pain assessment. ⢠While over 40 neonatal pain assessment scales have been published, owing to a lack of consensus and standardized metrics, there are more than 100 assessment indicators with varying descriptors and quality differences. Most of scales overlook the clinical environment complexity individual differences in pain responses, diminishing the accuracy and applicability. What is New: ⢠In addition to the commonly used physiological and behavioral variables in the scales, we have incorporated contextual variables to better address the complexity of clinical environments and individual differences in pain responses. ⢠Through an evidence-based approach, developed a neonatal pain response variable set comprising 9 contextual variables, 2 physiological variables, and 5 behavioral variables.
Asunto(s)
Consenso , Técnica Delphi , Dimensión del Dolor , Humanos , Recién Nacido , Dimensión del Dolor/métodos , Dolor/diagnóstico , Dolor/etiologíaRESUMEN
Objective: The escalating global aging population underscores the need to effectively manage geriatric diseases, constituting a significant public health concern. Community-based rehabilitation has emerged as a crucial and accessible paradigm for the rehabilitation of older adults. In China, however, the practical implementation of community-based rehabilitation faces formidable challenges, including a dearth of specialized rehabilitation therapists, substantial disparities between demand and supply, and suboptimal satisfaction rates. We aimed to develop a community-based rehabilitation management platform for older adults centered around digital health technology, with the plan to conduct a cluster randomized controlled trial to gather more evidence to explore the best practices and service models of community-based rehabilitation based on digital health technology. Methods: This cluster randomized controlled trial will be conducted in Zunyi City, China. We will recruit 286 adults aged ≥60 years and randomly allocate 20 subdistricts in a 1:1 ratio into either the intervention group, which will use the Rehabilitation Journey application, or the control group, which will be given a Rehabilitation Information Booklet for Older Adults. Both groups will undergo a 12-month rehabilitation management program, encompassing six months of guidance and an additional six months of follow-up through online and offline methods. The evaluation indicators will be assessed at enrollment and at 3rd, 6th, and 12thâ month. Discussion: This study endeavors to furnish novel insights to develop a tailored community-based rehabilitation management program for older adults, delivering customized, intelligent, and precise rehabilitation services.
RESUMEN
Background: Emerging evidence has indicated that remnant cholesterol (RC) could predict cardiovascular disease (CVD) incidence. Nevertheless, the relationship between RC and CVD risk, especially within the general Chinese population, remains scarce. Objective: The present research aimed to assess whether RC concentrations and CVD outcomes in general Chinese adults are related. Methods: The Cox proportional hazard model was established to explore the relationship between RC and the outcomes of CVD and CVD subgroups. A restricted cubic spline (RCS) was utilized to investigate the dose-response connection between RC and the risk of CVD outcomes, and the ROC curve was used to calculate the corresponding cutoff values. Moreover, stratified analysis was conducted to investigate the potential effect modification in the association between RC and CVD outcomes. Results: Significant positive associations were found between elevated categorical RC and increased risk of CVD (HR Q4, 1.80; 95% CI 1.15-2.79; P-value = 0.008), atherosclerotic cardiovascular disease (HR Q4, 2.00; 95% CI 1.22-3.27; P-value = 0.007), stroke (HR Q4, 1.66; 95% CI 1.02-2.69; P-value = 0.040), and ischemic stroke (HR Q4, 1.87, 95% CI 1.08-3.25; P-value = 0.034), respectively. Our study suggested that the incidence of CVD outcomes increased when RC levels were above 0.75â mmol/L. Importantly, the CVD risks related to RC were more likely to be those found in subjects aged above 60 years, women, subjects with BMI <24â kg/m2, and subjects with hypertension and unhealthy diet patterns. Conclusions: Aberrant high level of RC is associated with elevated CVD risk, independent of low-density lipoprotein cholesterol (LDL-C). Our data reveal urgent primary prevention for subjects with high RC levels to a low incidence of CVD, especially for the elderly, women, and those with hypertension and unhealthy diet patterns.
RESUMEN
Objective: The clinical manifestation of vertigo caused by vestibular neuritis is acute and persistent vertigo, accompanied by nausea, vomiting, and dizziness. Low-dose glucocorticoid therapy is recommended in the acute phase, while drug therapy is not recommended in the recovery phase. Therefore, it is of certain clinical value to explore other treatment options. This study hopes to better fill the current research gap in non-drug treatment of vertigo caused by vestibular neuritis. Methods: The medical data of 96 patients with vertigo caused by vestibular neuritis in our hospital from May 2019 to May 2021 were retrospectively analyzed. According to different treatment methods, they were divided into the control group (routine treatment regimen) and the experimental group (vestibular rehabilitation training combined with the medical wisdom platform), with 48 cases in each group, and the clinical efficacy of the two groups was compared. Results: The total effective rate of treatment was 95.83% in the experimental group, which was significantly higher than 79.17% in the control group (χ2 = 6.095, P = .014). In the two groups, the scores of dizziness handicap inventory (DHI) and vestibular symptom index (VSI) decreased. In contrast, the scores of Tinetti performance-oriented mobility assessment (POMA) and functional independence measure (FIM) increased after treatment. After treatment, the experimental group had significantly lower DHI score (t = 12.942, P < .001), distinctly higher POMA score (t = 9.940, P < .001), overtly lower VSI score (t = 8.783, P < .001), and notably higher FIM score than the control group (t = 12.649, P < .001). Conclusion: The application of vestibular rehabilitation training combined with the medical wisdom platform is beneficial to patients with vertigo caused by vestibular neuritis, which provides reference for the subsequent treatment of this disease and has a certain clinical promotion value.
RESUMEN
INTRODUCTION: Exploring the experiences and perspectives of healthcare professionals, patients and caregivers toward serious illness conversations based on the Serious Illness Care Program is vital for improving communication with patients who are seriously ill, as has been shown in previous studies. However, few studies have carried out a systematic review to examine common themes, strengthen conclusions and identify gaps in the literature, the findings of which could help steer further research, policies and practice to improve more timely and person-centred conversations about the values and priorities of patients with serious illnesses. The objective of this qualitative meta-synthesis is to explore how healthcare professionals, patients and caregivers described their own experiences of the processes of serious illness communication through a secondary analysis of published qualitative data. METHODS AND ANALYSIS: Meta-aggregation will be used to conduct a systematic review of qualitative studies. We conducted an initial search on 10 October 2023; papers published in English will be searched using electronic databases, including PubMed (MEDLINE), Web of Science, Embase, Ovid and CINAHL. Studies that satisfy the eligibility criteria will be evaluated for methodological quality using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Qualitative Research. The meta-aggregative review will consist of the following: (1) extraction of findings of all included studies; (2) categorisation of the findings, with at least two findings per category; and (3) synthesis of one or more findings from at least two categories. Study eligibility screening, data extraction, analysis and JBI Critical Appraisal Checklist and Grading of Recommendations Assessment, Development and Evaluation-Confidence in the Evidence from Reviews of Qualitative research assessments will be undertaken independently by two authors. ETHICS AND DISSEMINATION: Secondary data analysis of published literature does not require ethical approval. The results will be disseminated in peer-reviewed journals and presented in conference papers and elsewhere. PROSPERO REGISTRATION NUMBER: CRD42022330859.
Asunto(s)
Cuidadores , Personal de Salud , Humanos , Investigación Cualitativa , Comunicación , Atención a la Salud , Revisiones Sistemáticas como AsuntoRESUMEN
BACKGROUND: Currently, more and more older people are inevitably facing the final stages of life and their need for end-of-life care is becoming more prominent. It is therefore important to understand in advance what older people expect from their approaching end-of-life care and attention. We conducted a meta-analysis to explore the influence of advance care planning (ACP) on end-of-life decision-making among older adults living in community settings and their family members. METHODS: We searched databases including PubMed, Embase, Cochrane Library, and Web of Science through 10 August 2022, to locate randomized controlled trials (RCTs) that investigated the effects of ACP on the end-of-life decision-making of community-dwelling elderly individuals and their family members. Studies we obtained from the databases were screened based on specific inclusion and exclusion criteria. The software Stata 15.0 was used for combining and analyzing data. RESULTS: A total of 8 RCTs were eligible for meta-analysis. They involved 1,292 community-dwelling elderly people. The meta-analysis results revealed the incidence of the following items among participants after the intervention of the ACP: cardiopulmonary resuscitation (CPR) [rate =26%, 95% confidence interval (CI): 11-41%], life-sustaining treatment (rate =12%, 95% CI: 6-18%), gastric gavage (rate =34%, 95% CI: 18-50%), mechanical ventilation (rate =34%, 95% CI: 14-54%), death at home (rate =7%, 95% CI: 3-12%), and death in hospital (rate =6%, 95% CI: 3-10%). The systematic review protocol was prespecified and registered in the international prospective register of systematic reviews (PROSPERO; CRD42022348900). CONCLUSIONS: According to current research, ACP is a promising treatment that can improve the end of life of elderly people living in the community and their families. However, considering the heterogeneity of the included studies, multi-center RCTs with high quality and larger sample sizes need to be conducted to confirm our conclusions.
Asunto(s)
Planificación Anticipada de Atención , Cuidado Terminal , Humanos , Anciano , Vida Independiente , Familia , MuerteRESUMEN
BACKGROUND: Life-limited patients may lose decision-making abilities during disease progression. Advance care planning can be used as a discussion method for healthcare professionals to understand patients' future care preferences. However, due to many difficulties, the participation rate of healthcare professionals in advance care planning is not high. AIM: To explore the facilitators of and barriers to healthcare professionals' provision of advance care planning to life-limited patients to better implement it for this population. METHODS: We followed ENTREQ and PRISMA to guide this study. We conducted a systematic search of PubMed, Web of Science, Embase, CINAHL, PsycINFO, CNKI, and SinoMed to include qualitative data on the experiences and perspectives of healthcare professionals in different professional fields in providing advance care planning for life-limited patients. The Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research was used to assess the quality of the included studies. RESULTS: A total of 11 studies were included. Two themes were identified: unsupported conditions and facilitative actions. Healthcare professionals regarded cultural concepts, limited time, and fragmented record services as obstacles to implementation. They had low confidence and were overly concerned about negative effects. They needed to possess multiple abilities, learn to flexibly initiate topics, and facilitate effective communication based on multidisciplinary collaboration. CONCLUSION: Healthcare professionals need an accepting cultural environment to implement advance care planning, a sound legal system, financial support, and a coordinated and shared system to support them. Healthcare systems need to develop educational training programs to increase the knowledge and skills of healthcare professionals and to promote multidisciplinary collaboration to facilitate effective communication. Future research should compare the differences in the needs of healthcare professionals in different cultures when implementing advance care planning to develop systematic implementation guidelines in different cultures.
Asunto(s)
Planificación Anticipada de Atención , Humanos , Personal de Salud/educación , Atención a la Salud , Investigación Cualitativa , AprendizajeRESUMEN
Objective: The global incidence of diabetes is rising, in part due to the widespread adoption of poor dietary habits. Fermented vegetables have numerous health benefits and are generally affordable. Here, we examined whether regular consumption of pickled vegetables or fermented bean curd reduces the risk of diabetes. Methods: A total of 9,280 adults (≥18 years of age) were recruited via multi-stage sampling from 48 townships in China between 2010 and 2012 for this 10-year prospective study. In addition to demographic information, monthly consumption levels of pickled vegetables and fermented bean curd were recorded. Participants were then monitored for diabetes onset. After the final follow-up, logistic regression analyses with multiple covariant corrections were conducted to estimate the changes in diabetes risk associated with consumption of pickled vegetables and fermented bean curd compared to non-consumption. Results: A total of 6,640 subjects without diabetes at the start of the study were followed up for a median period of 6.49 years, among whom 714 were diagnosed with diabetes during the study. According to a regression model with multivariable adjustment, diabetes risk was significantly reduced by consumption of 0-0.5 kg/month of pickled vegetables (OR = 0.77, 95% CI: 0.63, 0.94) and further reduced by consumption of >0.5 kg/month of pickled vegetables (OR = 0.37, 95% CI: 0.23, 0.60) compared to no consumption (both P-trend < 0.001). Consumption of fermented bean curd also reduced diabetes risk (OR = 0.68, 95% CI: 0.55, 0.84). Conclusion: Regular consumption of pickled vegetables and/or fermented bean curd can reduce the long-term risk of diabetes.
Asunto(s)
Diabetes Mellitus , Verduras , Adulto , Humanos , Estudios Prospectivos , Estudios de Casos y Controles , IncidenciaRESUMEN
BACKGROUND: During the coronavirus (COVID-19) outbreak in 2019, an increased large number of male nurses volunteered for frontline assignment. Their excellent performance suggests that male nurses have several advantages over female nurses. However, research into the activities of Chinese male nurses engaged in frontline work during the COVID-19 pandemic remains limited. PURPOSE: This study was designed to summarize the reflections of male nurses on their experiences while volunteering for frontline COVID-19 duty in Hubei, China. METHODS: An interpretative qualitative descriptive study was conducted from May to July 2020 on male nurses who had volunteered for frontline COVID-19 duty in Hubei. Twelve male nurses were selected using a purposive sampling method. Data were collected using semistructured interviews, transcribed verbatim, and analyzed using thematic analysis. RESULTS: Four main themes and 11 subthemes were identified, including (a) changing the way of thinking at work (four subthemes), (b) clarity regarding career development (three subthemes), (c) change in life philosophy (two subthemes), and (d) personal growth (two subthemes). CONCLUSIONS: The experience of volunteering during the COVID-19 public health emergency influenced the male nurses positively in terms of improved organizational, management, and decision-making skills as well as improved performance. The beneficial attributes of male nurses should be taken into consideration when developing management policies related to nursing personnel.
Asunto(s)
COVID-19 , Enfermeros , Femenino , Humanos , Masculino , COVID-19/epidemiología , Brotes de Enfermedades , Enfermeras y Enfermeros , Enfermeros/psicología , Pandemias , Investigación Cualitativa , VoluntariosRESUMEN
OBJECTIVE: The efficacy and safety of epinephrine in patients with out-of-hospital cardiac arrest (OHCA) remains controversial. The meta-analysis was used to comprehensively appraise the influence of epinephrine in OHCA patients. METHODS: We searched all randomized controlled and cohort studies published by PubMed, EMBASE, and Cochrane Library from the inception to August 2022 on the prognostic impact of epinephrine on patients with OHCA. Survival to discharge was the primary outcome, while the return of spontaneous circulation (ROSC) and favorable neurological outcome were secondary outcomes. RESULTS: The meta-analysis included 18 studies involving 863,952 patients. OHCA patients with adrenaline had an observably improved chance of ROSC (RR 2.81; 95% CI 2.21-3.57; P = 0.001) in randomized controlled studies, but the difference in survival to discharge (RR 1.27; 95% CI 0.58-2.78; P = 0.55) and favorable neurological outcomes (RR 1.21; 95% CI 0.90-1.62; P = 0.21) between the two groups was not statistically significant. In cohort studies, the rate of ROSC (RR 1.62; 95% CI 1.14-2.30; P = 0.007) increased significantly with the adrenaline group, while survival to discharge (RR 0.73; 95% CI 0.55-0.98; P = 0.03) and favorable cerebral function (RR 0.42; 95% CI 0.30-0.58; P = 0.001) were lower than the non-adrenaline group. CONCLUSION: We found that both the randomized controlled trials (RCTs) and cohort studies showed that adrenaline increased ROSC in OHCA patients. However, they were unable to agree on a long-term prognosis. The cohort studies showed that adrenaline had an adverse effect on the long-term prognosis of OHCA patients (discharge survival rate and good neurological prognosis), but adrenaline had no adverse effect in the RCTs. In addition to the differences in research methods, there are also some potential confounding factors in the included studies. Therefore, more high-quality studies are needed to fully confirm the effect of adrenaline on the long-term results of OHCA.
Asunto(s)
Reanimación Cardiopulmonar , Servicios Médicos de Urgencia , Paro Cardíaco Extrahospitalario , Humanos , Epinefrina/uso terapéutico , Paro Cardíaco Extrahospitalario/tratamiento farmacológico , Reanimación Cardiopulmonar/métodos , Alta del Paciente , Tasa de SupervivenciaRESUMEN
BACKGROUND: Fatigue is a symptom characterized by an elevated prevalence in patients undergoing hemodialysis, which may cause extreme mental and muscular debilitation, significantly influencing social interaction, life quality and well-being. However, the significance of fatigue to patients undergoing hemodialysis has not been recognized yet, and prevention and management of fatigue in this population have not been thoroughly investigated. Additionally, previous studies mainly focused on muscular fatigue, while mental fatigue has been seldom discussed. This study aims to investigate the interaction between nurses and multidisciplinary of nonpharmacological integrated care interventions (NICIs) and assess the impact of fatigue on patients undergoing hemodialysis. METHODS: The integrative nonpharmacological care interventions in this study included walking, motivational interviewing (MI) and health education regarding behavioral self-management. A single-center randomized controlled trial was conducted in the dialysis center of the nephrological department in a tertiary affiliated hospital of medical university from January to June 2019. A total of 118 patients were selected and randomly divided into the intervention group (IG) and the control group (CG). Four patients dropped out during the study, and 114 patients were enrolled for the eventual analysis. The 60 patients in the IG received routine nursing combined with integrated care interventions, while the 54 patients in the CG received routine nursing only. This study lasted for six months. RESULTS: The experimental group exhibited significant reductions of overall fatigue (2.26 vs. 0.48), mental fatigue (1.41 vs. 0.54), muscular fatigue (2.13 vs. 0.75), and some biochemical indicators (e.g., serum urea) (P<0.05), compared with the CG. CONCLUSIONS: Nurses and multidisciplinary teams have been demonstrated to play a key role and interplay function in chronic disease management. Hence, the nurse-led multidisciplinary NICIs significantly alleviated total fatigue (muscular fatigue and mental fatigue) and improved other parameters. TRIAL REGISTRATION: ChiCTR-IOR-16008621 (March 18, 2016).
RESUMEN
Recently, numerous studies have focused on tourism among the older population. Of them, most reported on status analysis, tourism motivation, and tourism model, to name a few; however, there was a lack of comprehensive synthesis and analysis of the motivation, influencing factors, policy impact, and other factors of older tourism. Thus, this study conducted various keyword searches among both English and Chinese publications. We found that older population's tourism is affected by various factors, such as travel expense, physical condition, the length and distance of a trip, and cultural influence. The results provide a reference for the development and implementation of tourism among the older population.
RESUMEN
The Coronavirus disease 2019 (COVID-19) has spread globally. Although mixed liver impairment has been reported in COVID-19 patients, the association of liver injury caused by specific subtype especially chronic hepatitis B (CHB) with COVID-19 has not been elucidated. In this multi-center, retrospective, and observational cohort study, 109 CHB and 327 non-CHB patients with COVID-19 were propensity score matched at an approximate ratio of 3:1 on the basis of age, sex, and comorbidities. Demographic characteristics, laboratory examinations, disease severity, and clinical outcomes were compared. Furthermore, univariable and multivariable logistic and Cox regression models were used to explore the risk factors for disease severity and mortality, respectively. A higher proportion of CHB patients (30 of 109 (27.52%)) developed into severe status than non-CHB patients (17 of 327 (5.20%)). In addition to previously reported liver impairment markers, such as alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, and total bilirubin, we identified several novel risk factors including elevated lactate dehydrogenase (⩾ 245 U/L, hazard ratio (HR) = 8.639, 95% confidence interval (CI) = 2.528-29.523; P < 0.001) and coagulation-related biomarker D-dimer (⩾ 0.5 µg/mL, HR = 4.321, 95% CI = 1.443-12.939; P = 0.009) and decreased albumin (< 35 g/L, HR = 0.131, 95% CI = 0.048-0.361; P < 0.001) and albumin/globulin ratio (< 1.5, HR = 0.123, 95% CI = 0.017-0.918; P = 0.041). In conclusion, COVID-19 patients with CHB were more likely to develop into severe illness and die. The risk factors that we identified may be helpful for early clinical surveillance of critical progression.
Asunto(s)
COVID-19 , Hepatitis B Crónica , Estudios de Cohortes , Hepatitis B Crónica/complicaciones , Hepatitis B Crónica/epidemiología , Humanos , Estudios Retrospectivos , Factores de RiesgoRESUMEN
The COVID-19 pandemic has dramatically changed the patterns of lifestyle and posed psychological stress on pregnant women. However, the association of sleep duration and screen time with anxiety among pregnant women under the backdrop of the COVID-19 pandemic scenario has been poorly addressed. We conducted one large-scale, multicenter cross-sectional study which recruited 1794 pregnant women across middle and west China. Self-reported demographic characteristics, lifestyle, and mental health status were collected from 6th February to 8th May 2020. We investigated the association of sleep duration and screen time with the risk of anxiety by multivariable logistic regression analysis and linear regression analysis after adjusting potential confounders. The dose-response relationship of sleep duration and screen time with anxiety was visualized using a cubic spline plot. Our data revealed that almost 35% of pregnant women suffered from anxiety during the COVID-19 pandemic. Sleep duration was dose-dependently associated with a lower risk of anxiety among pregnant women (OR = 0.41, 95% CI: 0.27-0.63), while screen time exhibited a conversed effect (OR = 2.01, 95% CI:1.00-4.39). Notably, sleep duration (≥8 h/day) synergistically combined with screen time (3-7 h/day) to diminish the risk of anxiety (OR = 0.70, 95% CI: 0.50-0.99). Taken together, sleep duration and screen time were independently and jointly associated with anxiety (P < 0.05). Therefore, promoting a more active lifestyle and maintaining higher sleep quality could improve the mental health of pregnant women, especially under public health emergency.
RESUMEN
PURPOSE: A deluge of fake news and misinformation about the coronavirus disease 2019 (COVID-19) on the Internet poses challenges for the public in their search for reliable and relevant health information for taking protective measures, especially among people with chronic diseases (PWCD). This study aimed to (a) understand the satisfaction level of the online information related to COVID-19 in people with and without chronic diseases; (b) explore information-searching behavior and digital health literacy in PWCD; and (3) identify the possible predictors of information satisfaction among PWCD. METHODS: This was a multicity, cross-sectional study using an online survey with a convenience sample of people who (a) were 15 years of age or older and (b) had access to the Internet in mainland China, Hong Kong, and Macau. FINDINGS: Four thousand four hundred and seventy-two subjects completed the survey, of whom less than 50% felt satisfied with the online information. About 20% of respondents (n = 882) were diagnosed with at least one chronic disease and reported a lower level of information satisfaction (p = .003) than the people without chronic diseases. The majority of the PWCD obtained their online health information from social media. Higher digital health literacy (adjusted odds ratio [OR] = 5.07), higher frequency of searches regarding symptoms of COVID-19 (adjusted OR = 2.07), higher perceived importance of quickly learning from the information searched (adjusted OR = 1.63), and lower frequency of searches on the topic of dealing with psychological stress (adjusted OR = 0.54) were found to be predictors of information satisfaction among PWCD. CONCLUSIONS: The majority of PWCD sought online information related to COVID-19 from social media, and their level of information satisfaction was significantly lower than among people without chronic diseases. Digital health literacy is a strong and significant predictor of information satisfaction. CLINICAL RELEVANCE: To support PWCD, we not only have to provide them with clear and accurate information, but also promote their digital health literacy so that they may seek, understand, and appraise health information from the Internet to make appropriate health-related judgments and decisions.
Asunto(s)
COVID-19 , Enfermedad Crónica/epidemiología , Información de Salud al Consumidor , Internet , Satisfacción Personal , Adulto , China/epidemiología , Estudios Transversales , Femenino , Alfabetización en Salud/estadística & datos numéricos , Humanos , Masculino , Encuestas y CuestionariosRESUMEN
This study aims to investigate the relationship between body measures and the presence of two frailty-related phenotypes, and the moderating effect of age on this relationship. This is a secondary data analysis of the baseline data of an interventional study. The participants were residents of seven districts in Hong Kong, aged 55 or older, able to ambulate independently and to function well cognitively. Pre-frailty refers to the presence of two frailty-related phenotypes: low physical activity or poor handgrip strength or both. Included in the study were 199 individuals with a mean age of 73.43 (SD 7.54). Regression models showed that body weight (OR = 0.95, 95% CI 0.92-0.99, p < .05) was significantly associated with pre-frailty, as was body height (OR = 0.88, 95% CI 0.83-0.94, p < .001). Age is a significant moderator of the relationship between pre-frailty and body weight and body height. The effect of body weight (beta = -0.044, p < .05) and height (beta = -0.16, p < .001) on pre-frailty was significant and negative in the younger age groups. The findings indicate that raw body measures (i.e. body weight, body height) are more predictive of pre-frailty than BMI in older Chinese people. However, in the old-old group, these measures are not significant predictors of pre-frailty in Chinese community-dwelling adults. Practitioners should consider adopting body measures as predictors of pre-frailty in the younger-old population.