We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
This study examines the antecedent role of organizational culture and the mediating role of digital transformation when promoting big data analytics capabilities. Employing the Competing Values Framework, we scrutinize the influence of various cultural typologies, including digital culture on the successful deployment of digital transformation and the enhancement of big data analytics capabilities. Our analysis utilizes Partial Least Squares Structural Equation Modeling on a dataset of 183 firms to evaluate our hypotheses. The findings reveal that adhocratic, digital and hierarchical cultures significantly foster big data analytics capabilities mediated by digital transformation, which is a dynamic process that needs supportive digital and innovative values. In contrast, market and clan cultures exhibit weaker linkages. By providing empirical evidence and practical implications, this study highlights how organizations with a strong adhocratic and digital cultures outperform those with traditional cultures in their digital transformation and big data analytics capabilities efforts.
Artificial intelligence (AI) and virtual reality (VR) are useful tools that can improve precision medicine and can prove useful in the clinical care of patients with psychosis.
Objectives
Our aim was to determine whether AI and VR have been applied to the prediction of clinical response in women with schizophrenia.
Methods
A systematic review was carried out in PubMed and Scopus from inception to September 2023 by using the PRISMA guidelines. Search terms: (“artificial intelligence” OR “intelligent support” OR “machine intelligence” OR “machine learning” OR “virtual reality” OR “intelligent agent” OR “neural networks” OR “virtual reality” OR “digital twins”) AND (“schizophrenia” OR “psychosis”) AND (“women” OR gender”). Inclusion criteria: 1)English, French, German or Spanish language, 2) reporting treatment response in schizophrenia (as long as information in women was included), and 3) including AI and VR techniques.
Results
From a total of 320 abstracts initially screened (PubMed:182, Scopus:138), we selected 6 studies that met criteria.
- Prediction of treatment response. (1) Clinical information, genetic risk score and proxy methylation score have been shown to improve prediction models. (2) Graph-theory-based measures have been combined with machine learning.
- Therapeutic drug monitoring. (1) A machine learning model has been useful in predicting quetiapine blood concentrations.
- Pharmacovigilance. (1) Machine learning has connected prolactin levels and response in olanzapine-treated patients. (Zhu et al., 2022).
- Treatment-resistant schizophrenia (TRS). (1) Women with TRS have been found to receive clozapine less frequently than men (adjusted for sociodemographic, biological and clinical factors). (2) Statistical learning approach: Women have been found to respond better to clozapine than men.
Conclusions
AI, including machine learning, show promising results in the prediction of treatment response in women with schizophrenia. As of yet, digital twins have not been investigated to test specific interventions or to personalize treatment in women with schizophrenia.
There are many theoretical reasons to implement gender-specific care for schizophrenia. For all these reasons, the Mutua Terrassa-Functional Unit for Women with Schizophrenia was inaugurated in January 2023 in the context of a community mental health service.
Objectives
Our aim today is to describe the health care model applied in this newly initiated unit.
Methods
We created a healthcare model in our new unit consisting of A)Five observatories of Health (somatic morbi-mortality, hyperprolactinemia-HPRL, substance use disorders, social exclusion/discrimination, and drug safety); B)Monitoring stations or vigilance teams (reflecting the 5 observatories); and C)resulting actions (specific interventions). The observatory teams each meet monthly. In this presentation, according to the healthcare model we implemented, we first describe data about the original patient recruitment and then focus on the observatories of somatic morbi-mortality and hyperprolactinemia.
Results
From 265 potentially eligible women, 42 were included in the 5 observatories. (A) of the 11 women in the observatory of somatic morbi-mortality, 10 women had died within the last 24 months. Causes of Death: (1)respiratory tract disease (n=5,45.4%), (2)cancer (n=3;27.3%): lung cancer (n=1), pancreatic cancer (n=1), kidney cancer (n=1), (3)ischemic colitis (n=1;9%), (4)Alzheimer disease (n=1;9%). 2) Morbidity. One woman had an ongoing glioblastoma. (B)Observatory of HPRL. Eight women with moderate/severe HPRL were included. Strategies for lowering prolactin levels were discussed with neuroendocrinologists. Interventions:adjunctive aripiprazole (n=3), switch to aripiprazole (n=2), lowering antipsychotic doses (n=2), and adjunctive cabergoline (n=1).
Conclusions
Designating special teams to focus on specific problems of women with schizophrenia will reduce morbidity and improve outcomes in this vulnerable population.
Bentonite- and sepiolite-supported copper catalysts have been prepared either by adsorption of Cu(II) from aqueous solutions of copper nitrate at pH ~4.5 or by adsorption of a [Cu(NH3)4]2+ complex from an ammonia solution of CuSO4 at pH ~9.5. The structure and composition of the calcined preparations have been studied by X-ray diffraction, chemical analysis, and energy dispersive X-rays. Textural characteristics have derived from the analysis of the adsorption-desorption isotherms of N2. All catalysts have been tested for the dehydrogenation of methanol to methyl formate. For this reaction, bentonite-based catalysts were found to have very little activity, which indicates that copper located in the inter-lamellar spaces is inaccessible to methanol molecules. On the contrary, copper-sepiolite catalysts showed a very high specific activity even for those catalysts with a very low copper content. The chemical state of copper in the catalysts on-stream has been revealed by X-ray photoelectron spectroscopy and X-ray-induced Auger techniques. In most of the catalysts Cu+ is the dominant copper species.
It is estimated that the prevalence of severe Intellectual Disability (ID) is 6 per 1,000 people. ID is sometimes the cause of Behavioral Disorders (BD) with aggressive and impulsive behaviors that make family and social life difficult. However, despite its high prevalence, the number of studies on it is very scarce.
When BD appears, it should be evaluated if there is a physical or psychiatric cause that causes it and assess non-pharmacological treatments. If they are insufficient, treatments such as risperidone are used to manage BD. When these are ineffective, the use of drugs with greater difficulties in their effects and clinical management, such as clozapine, is required.
Objectives
The objective is to describe the use of clozapine in patients with severe ID associated with BD.
Methods
Retrospective descriptive study. Patients older than 18 years with severe ID and BD, treated with clozapine for at least two years were included. Those with medical or psychiatric comorbidity were excluded.
Results
The sample consisted of 12 patients, 16.67% women (n=2) and 83.33% men (n=10), aged 47.57±9.27 years. Prior to the introduction of clozapine, a mean of 2.67±1.21 antipsychotics had been tested. The mean dose of clozapine was 264.24±70.50 mg/day. The patients had received treatment for 51.57±25.67 months, following the usual controls. None had hematological adverse effects or other serious adverse effects.
Conclusions
Clozapine can be an effective and safe therapeutic alternative in the treatment of BD in intellectual disabled patients which do not respond to other treatments. The clinical benefits of clozapine treatment seem to outweigh the potential risks associated with the treatment. However, more studies are needed to evaluate the effects of clozapine in patients with intellectual disabilities.
Family caregivers (FCs) of cancer patients experience burden of care. The aims of this study are to describe the caregiving phenomenon among FCs of advanced cancer patients in a Latino community and to identify caregiver and patient characteristics associated with high-intensity subjective caregiver burden.
Methods
In this cross-sectional study, advanced cancer patient–caregiver dyads assessed at a Palliative Care Unit in Santiago, Chile, enrolled in a longitudinal observational study were included. FCs completed questions to describe the caregiving phenomenon and surveys to assess burden of care, psychological distress, and perception of patients’ symptoms; patients completed surveys to assess physical distress and quality of life (QOL). We explored associations between high-intensity subjective caregiver burden with caregiver and patient variables.
Results
Two hundred seven dyads were analyzed. FCs were on average 50 years old and 75% female. Thirty-two percent of FCs experienced high-intensity subjective burden of care. Eighty two percent of FCs took care of the patient daily and 31% took care of the patient alone. In univariate analysis, high-intensity caregiver burden was associated with caregiver depression (59% vs. 27%; p < 0.001), anxiety (86% vs. 67%; p = 0.003), caring for the patient alone (45% vs. 24%; p = 0.002), perception of patient symptom distress, patient religion, and worse patient QOL (mean [standard deviation] 58 [33] vs. 68 [27]; p = 0.03). In multivariate analysis, FC depression (OR [95% confidence interval] 3.07 [1.43–6.60]; p = 0.004), anxiety (3.02 [1.19–7.71]; p = 0.021), caring for the patient alone (2.69 [1.26–5.77]; p = 0.011), caregiver perception of patient’s fatigue (1.26 [1.01–1.58]; p = 0.04), and patient’s religion (3.90 [1.21–12.61]; p = 0.02) were independently associated with caregiver burden.
Significance of results
FCs of advanced cancer patients in a Latino community frequently experience high-intensity burden of care and are exposed to measures of objective burden. High-intensity burden is associated with both caregiver and patient factors. Policies should aim to make interventions on patient–caregiver dyads to decrease caregiving burden among Latinos.
The Guillain-Barré syndrome (GBS) has been previously associated with Zika virus infection. We analysed the data from all the patients with GBS diagnosis that were admitted to a referral hospital, in Tapachula City during the period from January 2013 to August 2016, comparing the incidence of GBS according to the temporality of the Zika outbreak in Southern Mexico. Additionally, we described the clinical and epidemiological characteristics of the GBS patients admitted before or after the Zika outbreak. We observed a sharp increase in the number of patients hospitalised due to GBS from the time the first confirmed Zika cases appeared in Mexico. Clinically we observed GBS cases before zika outbreak had more frequently history of respiratory/gastrointestinal symptoms and GBS during zika outbreak had significantly more frequently recent history of rash/conjunctivitis. Although we cannot affirm that the increased cases of GBS have a specific aetiologic association with Zika, our results suggest that this observed outbreak of in Tapachula, might have been associated to the emerging Zika epidemic, locally and suggests that rare complications associated with acute infections (such as GBS) might be useful in the surveillance systems for emerging infections.
Despite of the evidence of high psychopathological disorders in patients with ATSCI, few data are available on their psychiatric morbidity prior to the injury.
Objectives
Identify psychiatric morbidity pre-post ATSCI in a sample of patients admitted in the Spinal Injuries Unit of the Vall d’ Hebron University Hospital in Barcelona (Spain).
Material and methods
54 patients with ATSCI patients were admitted between 1st. October 2009 and 1st. October 2010. SPSS (version 16.1) was used to analyze the data.
Results
Seventy-six percent of the inpatients with ATSCI (41 cases) were evaluated by the psychiatrist and constitute the study sample. Twenty-seven (66%) were male and 14 (33%) female. The average age of the sample was 41 years with younger males (p < 0.05).
Reasons for ATSCI in males were traffic accident (26%), accidental falls and sports accidents (both 18.5%). In women were suicidal attempt by precipitation, fall accident (28.6% both) and traffic accident (21.4%).
41% of men versus 14% of women had a history of substance misuse (p < 0.01) while 64% of women versus the 14.8% of males had a prior psychiatric disorder (p < 0.01). 72.5% of men with ATSCI caused by traffic accident had used substances prior to the accident, those association was not found for women.
91% of patients underwent psychopharmacological intervention.
Conclusions
ATSCI patients exhibit high psychiatric morbidity and require specialized assessment. The high incidence of substance use associated with road traffic injuries suggests the need to identify risk groups in order to establish effective preventive measures.
Lithium has been used in the treatment of pregnant women with bipolar disorder for many decades but information on the effects of its exposure on perinatal variables is scarce.
Objectives:
To determine the effects of in-utero exposure to lithium on neonatal outcomes among infants born to women with treatment with lithium during pregnancy.
Methods:
Prospective and observational study including all consecutive cases of pregnant women with bipolar disorder type I or II (N = 22) and maintenance treatment with lithium monotherapy (n=13) or polytherapy (n=9), attended at the PERINATAL PSYCHIATRY PROGRAM CLÍNIC-BARCELONA between 2005 and 2012. We evaluated sociodemographic data, lithium plasma concentrations in maternal blood and umbilical cord, obstetric and neonatal variables.
Results:
No statistically significant differences were found regarding sociodemographic data between both groups. Rates for umbilical cord:maternal plasma lithium levels were higher in women treated with polytherapy than in women who received lithium alone (1.08 vs. 1.05). Neonates exposed to polytherapy had a higher weight percentile at birth (p70 vs p50) and greater gestational age (39.72 vs. 38.28 weeks), than those exposed to lithium alone. Acute neonatal complications were more frequently observed in infants that were exposed to lithium monotherapy (33.3% vs. 38.50), being all complications transitory and not severe.
Conclusions:
The infants exposed to lithium polytherapy presented a higher weight at birth compared to those who received lithium monotherapy. However, no statistically significant differences were found between treatment groups. Further research is needed to better clarify safety of lithium and its effect on neonatal outcomes.
This first systematic account of the basic theory of normed algebras, without assuming associativity, includes many new and unpublished results and is sure to become a central resource for researchers and graduate students in the field. This second volume revisits JB*-triples, covers Zel'manov's celebrated work in Jordan theory, proves the unit-free variant of the Vidav–Palmer theorem, and develops the representation theory of alternative C*-algebras and non-commutative JB*-algebras. This completes the work begun in the first volume, which introduced these algebras and discussed the so-called non-associative Gelfand–Naimark and Vidav–Palmer theorems. This book interweaves pure algebra, geometry of normed spaces, and infinite-dimensional complex analysis. Novel proofs are presented in complete detail at a level accessible to graduate students. The book contains a wealth of historical comments, background material, examples, and an extensive bibliography.