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Around the world, people living in objectively difficult circumstances who experience symptoms of generalized anxiety disorder (GAD) do not qualify for a diagnosis because their worry is not ‘excessive’ relative to the context. We carried out the first large-scale, cross-national study to explore the implications of removing this excessiveness requirement.
Methods
Data come from the World Health Organization World Mental Health Survey Initiative. A total of 133 614 adults from 12 surveys in Low- or Middle-Income Countries (LMICs) and 16 surveys in High-Income Countries (HICs) were assessed with the Composite International Diagnostic Interview. Non-excessive worriers meeting all other DSM-5 criteria for GAD were compared to respondents meeting all criteria for GAD, and to respondents without GAD, on clinically-relevant correlates.
Results
Removing the excessiveness requirement increases the global lifetime prevalence of GAD from 2.6% to 4.0%, with larger increases in LMICs than HICs. Non-excessive and excessive GAD cases worry about many of the same things, although non-excessive cases worry more about health/welfare of loved ones, and less about personal or non-specific concerns, than excessive cases. Non-excessive cases closely resemble excessive cases in socio-demographic characteristics, family history of GAD, and risk of temporally secondary comorbidity and suicidality. Although non-excessive cases are less severe on average, they report impairment comparable to excessive cases and often seek treatment for GAD symptoms.
Conclusions
Individuals with non-excessive worry who meet all other DSM-5 criteria for GAD are clinically significant cases. Eliminating the excessiveness requirement would lead to a more defensible GAD diagnosis.
Long-term care facilities, such as nursing homes and other assisted living facilities, have been hit particularly hard by the COVID-19. The overall pandemic created an enormous pressure on long-term care workers (LTCWs), making them particularly vulnerable to mental disorders. However, most of the existing evidence regarding the well-being of care professionals has predominantly focused on frontline healthcare workers.
Objectives
This study aimed to identify long-term psychological needs of LTCWs derived from the COVID-19 pandemic, as part of a project that is developing an intervention to reduce psychological distress in this population group.
Methods
We performed a qualitative study with a rapid research approach. Participants were recruited from long-term care facilities located in Catalonia, Spain. Between April and September 2022, we conducted semi-structured interviews inquiring about the most psychologically challenging stages of the pandemic, perceived emotions during those stages, main determinants of those emotions, and their emotional state at the time of the interview. We used a qualitative content analysis method with an inductive-deductive approach.
Results
Thirty LTCWs participated in the study. Mean age was 44 (SD=11,4), 87% were females and one third were from foreign nationalities. The period of the pandemic with highest mental health burden was the outbreak, with almost every worker having experienced some form of emotional distress. Emotional distress persisted over time in more than half of participants, with fatigue and nervousness being the main emotions expressed at the time of the interview. High workload, feeling that pandemic times are not over and poor working conditions that have remained since then, have been the most frequently expressed determinants of such emotions.
Conclusions
Long after the pandemic outbreak, emotional distress is still relevant. The persistent burden of psychological distress points to a need for institutions to take action to improve working conditions and promote employees’ wellbeing.
We recently reported on the radio-frequency attenuation length of cold polar ice at Summit Station, Greenland, based on bi-static radar measurements of radio-frequency bedrock echo strengths taken during the summer of 2021. Those data also allow studies of (a) the relative contributions of coherent (such as discrete internal conducting layers with sub-centimeter transverse scale) vs incoherent (e.g. bulk volumetric) scattering, (b) the magnitude of internal layer reflection coefficients, (c) limits on signal propagation velocity asymmetries (‘birefringence’) and (d) limits on signal dispersion in-ice over a bandwidth of ~100 MHz. We find that (1) attenuation lengths approach 1 km in our band, (2) after averaging 10 000 echo triggers, reflected signals observable over the thermal floor (to depths of ~1500 m) are consistent with being entirely coherent, (3) internal layer reflectivities are ≈–60$\to$–70 dB, (4) birefringent effects for vertically propagating signals are smaller by an order of magnitude relative to South Pole and (5) within our experimental limits, glacial ice is non-dispersive over the frequency band relevant for neutrino detection experiments.
Despite their documented efficacy, substantial proportions of patients discontinue antidepressant medication (ADM) without a doctor's recommendation. The current report integrates data on patient-reported reasons into an investigation of patterns and predictors of ADM discontinuation.
Methods
Face-to-face interviews with community samples from 13 countries (n = 30 697) in the World Mental Health (WMH) Surveys included n = 1890 respondents who used ADMs within the past 12 months.
Results
10.9% of 12-month ADM users reported discontinuation-based on recommendation of the prescriber while 15.7% discontinued in the absence of prescriber recommendation. The main patient-reported reason for discontinuation was feeling better (46.6%), which was reported by a higher proportion of patients who discontinued within the first 2 weeks of treatment than later. Perceived ineffectiveness (18.5%), predisposing factors (e.g. fear of dependence) (20.0%), and enabling factors (e.g. inability to afford treatment cost) (5.0%) were much less commonly reported reasons. Discontinuation in the absence of prescriber recommendation was associated with low country income level, being employed, and having above average personal income. Age, prior history of psychotropic medication use, and being prescribed treatment from a psychiatrist rather than from a general medical practitioner, in comparison, were associated with a lower probability of this type of discontinuation. However, these predictors varied substantially depending on patient-reported reasons for discontinuation.
Conclusion
Dropping out early is not necessarily negative with almost half of individuals noting they felt better. The study underscores the diverse reasons given for dropping out and the need to evaluate how and whether dropping out influences short- or long-term functioning.
Women with a history of preeclampsia (PE) have a greater risk of pulmonary arterial hypertension (PAH). In turn, pregnancy at high altitude is a risk factor for PE. However, whether women who develop PE during highland pregnancy are at risk of PAH before and after birth has not been investigated. We tested the hypothesis that during highland pregnancy, women who develop PE are at greater risk of PAH compared to women undergoing healthy highland pregnancies. The study was on 140 women in La Paz, Bolivia (3640m). Women undergoing healthy highland pregnancy were controls (C, n = 70; 29 ± 3.3 years old, mean±SD). Women diagnosed with PE were the experimental group (PE, n = 70, 31 ± 2 years old). Conventional (B- and M-mode, PW Doppler) and modern (pulsed wave tissue Doppler imaging) ultrasound were applied for cardiovascular íííassessment. Spirometry determined maternal lung function. Assessments occurred at 35 ± 4 weeks of pregnancy and 6 ± 0.3 weeks after birth. Relative to highland controls, highland PE women had enlarged right ventricular (RV) and right atrial chamber sizes, greater pulmonary artery dimensions and increased estimated RV contractility, pulmonary artery pressure and pulmonary vascular resistance. Highland PE women had lower values for peripheral oxygen saturation, forced expiratory flow and the bronchial permeability index. Differences remained 6 weeks after birth. Therefore, women who develop PE at high altitude are at greater risk of PAH before and long after birth. Hence, women with a history of PE at high altitude have an increased cardiovascular risk that transcends the systemic circulation to include the pulmonary vascular bed.
This study examined the incorporation of benzalkonium chloride into palygorskite and montmorillonite, assessing their potential as drug carriers. The aim was to evaluate the use of both clay minerals as viable options for antibacterial drug delivery. Various amounts (0.5, 1.0 and 2.0 times the cation-exchange capacity) of benzalkonium chloride were incorporated into both clay minerals, and the resulting materials were characterized using Fourier-transform infrared spectroscopy, thermogravimetric analysis, X-ray diffraction and elemental analysis using both CHNS-O elemental analysis and energy-dispersive X-ray spectroscopy. The Fourier-transform infrared spectroscopy and elemental analysis results indicate that benzalkonium chloride was incorporated successfully into the clay minerals. The X-ray diffraction traces of organo-montmorillonite indicate that the d-value increased as benzalkonium chloride content increased, confirming the intercalation of benzalkonium chloride within the montmorillonite interlayer space. By contrast, this behaviour was not observed for palygorskite. For the benzalkonium chloride-release studies, an initial burst release was found within the first 5 h, followed by a sustained release of benzalkonium chloride during the remaining testing time (24 h). Drug-release profiles were similar for modified palygorskite or montmorillonite during the testing time (24 h). Both clay minerals modified with benzalkonium chloride are promising materials for use as antibacterial fillers for several applications, including in the dental care industry.
There are differences in the training curricula of medical specialists in different countries. The opinion of the doctors in training on how they acquire competencies and carry them out is of great importance. In our case, we asked ourselves what were the perceived shortcomings in psychiatric training.
Objectives
The main objective of the study is to describe the opinion of psychiatry residents in Spain on the acquisition of competencies, compliance with the training programme and quality of clinical supervision.
Methods
This is a descriptive, cross-sectional, mixed (quantitative and qualitative) study. Based on previous bibliography and the ministerial order of the official training programme, an online survey was prepared, which was disseminated telematically through the residents’ representatives of the National Commission of the Speciality of Psychiatry of the National Council of Health Sciences Specialities.
Results
A total of 109 responses were obtained, with representation from all the Autonomous Communities of Spain. Graph I shows the opinion of the psychiatry residents as to which competencies they feel are less developed at present, with the competencies related to psychotherapy standing out in first place with great importance. In terms of compliance with the training programme, the parameter most in line with what was established was the average number of shifts, with an average of 4.26 shifts per month. However, 11.7% of residents do not take compensatory rest after on-call duty as required by law. Moreover, the rotation times established by the BOE are not complied with in 38.5% of the hospitals. With regard to the rotations that the residents feel should increase their rotation time, the child and adolescent psychiatry and dual pathology rotations stand out (graph II). Finally, with regard to the supervision process, only 22.90% of first-year residents are always supervised in person during their rotations (graph III).
Image:
Image 2:
Image 3:
Conclusions
Our study reflects the belief on the part of the resident physicians that further training in psychotherapy (45.7%), psychogeriatrics (10.6%) and dual pathology (8.5%) would be necessary. The fact that only 11.7% of the participants stated that they did not take compensatory rest after on-call duty seems to us to be an improvement over what was initially expected. There are other less reassuring data, such as the fact that only 22.9% of first-year residents report having continuous supervision. We consider that the results found follow the trends observed in studies carried out in residents from other countries. We stress the need to carry out a greater number of studies with a broad population base in which to find the failures that psychiatry residents themselves perceive in their training.
Approximately one person commits suicide every 40 seconds, resulting in more than 800,000 deaths per year worldwide. Regarding this phenomenon, it is necessary to highlight how suicide rates increase markedly with age. These reach their highest figures in people aged 85 years or older, and this increase is very worrying in certain geographical areas. Although there is extensive literature on the risk factors that influence at the individual level, the same cannot be said when the problem is analyzed at the population level.
Objectives
The study aims to review the entire Eurostat database, relating suicide data from different European countries to any possible variables that may influence suicide. In this pilot phase, certain socioeconomic variables were chosen based on criteria of suitability and availability of the information provided, selecting data from 2015, as it was the most recent year in which most countries reported their data on suicide in people over 85 years of age.
Methods
Firstly, a comparison was made of suicide rates in people over 85 years of age in relation to overall suicide rates in different European countries (suicide rate in people over 85 years of age divided by the total rate in the country). Secondly, socioeconomic variables that may be more strongly related to suicide in this age group in these European countries were studied. After calculating the conditional suicide rate in people over 85 years of age with respect to the overall suicide rate in each country (Fig. 1), Spearman correlations were performed between the conditional rates and different demographic variables, economic variables, social variables, and health variables.
Results
Conditional suicide rates in people over 85 years of age show a marked difference between southern and northern European countries. In the correlational analysis, several significant associations were found. Suicide in those over 85 years of age was associated with economic variables (social deprivation, economic impossibility to buy new clothes, impossibility to dedicate money for personal matters and Gini coefficient), demographic (old-age dependency ratio) and health (self-perceived health). After performing a multivariate regression with the variables that were significant in the Spearman correlation, included the variables “old-age dependency ratio (X1)” and “economic impossibility to buy new clothes (X2),” with a value of R-square = 0.612 and a value of p < 0.01.
Image:
Conclusions
The conclusions suggest that of the different variables studied, the great majority in which an association has been found belong to the field of economics, specifically poverty and economic inequality, and demographics, highlighting the old-age dependency ratio. Furthermore, marked north/south differences can be observed in the different European countries.
Chronic psychiatric patients admitted to subacute and long-stay hospital units are especially vulnerable to the situation of confinement due to the pandemic. Throughout 2020 and 2021 they have suffered the consequences of multiple strict confinements given the differences in isolation protocols in hospitalized patients compared to the general population. This has repercussions on the increase in anxious symptomatology, which influences a more torpid and prolonged evolution of mental disorders in this subpopulation.
Objectives
The objective of this study is to study the anxiety levels of patients admitted to a sub-acute and long-stay mental health unit in a situation of confinement due to covid-19.
Methods
We have carried out a cross-sectional descriptive observational study in 25 patients admitted to the subacute and long-stay unit of the Barcelona Forum Center between December 8 and 23, 2021 in the context of confinement due to a covid-19 outbreak. Sociodemographic and clinical variables are collected. We have used the self-administered STAI scale to assess clinical anxiety.
Results
The mean age is 47.7 years; women 60%. 80% with single marital status. 90% of the patients presented active tobacco consumption, with an average of 21.2 cigarettes/day. The mean score on the STAI scale was 58.8 for state anxiety and 46.7 for trait anxiety, both levels above the 75th percentile for adults, both men (state anxiety 28, trait anxiety 25) and women (state anxiety 31, trait anxiety 32).
Conclusions
The state and trait anxiety scores of the STAI scale of hospitalized patients are higher than the average of the general population, which could be due to the situation of confinement due to the covid pandemic.
This study describes attitudes towards diversity, equity, and inclusion (DEI) among members of the Clinical and Translational Science Awards (CTSA) Program. It also explores associations between program members’ roles and their perceived importance of and commitment to improving DEI and assesses the link between perceived importance of and commitment to improving DEI. Lastly, it ascertains barriers and priorities concerning health equity research, workforce development, CTSA consortium leadership, and clinical trials participation among respondents.
Methods:
A survey was administered to registrants of the virtual CTSA Program 2020 Fall Meeting. Respondents reported their roles, perceived importance of and commitment to improving DEI. Bivariate cross-tabulations and structural equation modeling examined associations between respondents’ roles, perceived importance of DEI, and commitment to improving DEI. Grounded theory was used to code and analyze open-ended questions.
Results:
Among 796 registrants, 231 individuals completed the survey. DEI was “extremely important” among 72.7 percent of respondents and lowest among UL1 PIs (66.7%). Being “extremely committed” to improving DEI was reported by 56.3 percent of respondents and lowest among “other staff” (49.6%). Perceived importance of DEI was positively associated with commitment to improve DEI. Institutional and CTSA Commitment, Support, and Prioritization of DEI represented a key theme for improving DEI among respondents.
Conclusion:
Clinical and translational science organizations must take bold steps to transform individual perceptions of DEI into commitment and commitment into action. Institutions must set visionary objectives spanning leadership, training, research, and clinical trials research to meet the promise and benefits of a diverse NIH-supported workforce.
Protestantism has grown strikingly throughout Latin America in the last two decades. Estimating such growth is hazardous in the absence of firm national survey data, but the phenomenon is clearly embracing sizable segments of national populations. In Guatemala, estimates of Protestants in the national population ranged from 20 to 25 percent by the early 1980s, with more recent estimates approaching 30 percent.
Traditionally, primate cognition research has been conducted by independent teams on small populations of a few species. Such limited variation and small sample sizes pose problems that prevent us from reconstructing the evolutionary history of primate cognition. In this chapter, we discuss how large-scale collaboration, a research model successfully implemented in other fields, makes it possible to obtain the large and diverse datasets needed to conduct robust comparative analysis of primate cognitive abilities. We discuss the advantages and challenges of large-scale collaborations and argue for the need for more open science practices in the field. We describe these collaborative projects in psychology and primatology and introduce ManyPrimates as the first, successful collaboration that has established an infrastructure for large-scale, inclusive research in primate cognition. Considering examples of large-scale collaborations both in primatology and psychology, we conclude that this type of research model is feasible and has the potential to address otherwise unattainable questions in primate cognition.
Many governments invest public funds in communication interventions and campaigns against prostitution and sexual exploitation in an attempt to change attitudes toward prostitution and eventually decrease its consumption. Despite the considerable investment that public institutions have made in campaigns against prostitution and sexual slavery, no known empirical studies have evaluated the effectiveness of such campaigns on attitudes and behavioral change. The messages of these campaigns usually center on one of two thematic focuses: Prostituted women who suffer exploitation and male consumers of prostitution. The present study examines the impact of different anti-prostitution advertisements on attitudes among male participants (N = 155 male participants). Specifically, the experiment aims to test the differential effect of these two focuses, compared to a no-advertisement control condition, on social support for prostitution, negative and incorrect beliefs about prostitutes, and family values related to prostitution. The results show that compared with the no-advertisement control condition, advertisements focused on men who use prostitutes have a significant effect on social support toward prostitution and incorrect beliefs about prostitutes, whereas advertisements focused on female prostitutes have no effect. The results have practical implications for governments and councils regarding the efficacy of this kind of public communication campaign against prostitution consumption.
Over the last 25 years, radiowave detection of neutrino-generated signals, using cold polar ice as the neutrino target, has emerged as perhaps the most promising technique for detection of extragalactic ultra-high energy neutrinos (corresponding to neutrino energies in excess of 0.01 Joules, or 1017 electron volts). During the summer of 2021 and in tandem with the initial deployment of the Radio Neutrino Observatory in Greenland (RNO-G), we conducted radioglaciological measurements at Summit Station, Greenland to refine our understanding of the ice target. We report the result of one such measurement, the radio-frequency electric field attenuation length $L_\alpha$. We find an approximately linear dependence of $L_\alpha$ on frequency with the best fit of the average field attenuation for the upper 1500 m of ice: $\langle L_\alpha \rangle = ( ( 1154 \pm 121) - ( 0.81 \pm 0.14) \, ( \nu /{\rm MHz}) ) \,{\rm m}$ for frequencies ν ∈ [145 − 350] MHz.
Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide application, and reduce risks to human and animal health. IPM is based on two important aspects – prevention and monitoring of diseases and insect pests – which today are being assisted by sensing and artificial-intelligence (AI) techniques. In this paper, we surveyed the detection and diagnosis, with AI, of diseases and insect pests, in cotton, which have been published between 2014 and 2021. This research is a systematic literature review. The results show that AI techniques were employed – mainly – in the context of (i) classification, (ii) image segmentation and (iii) feature extraction. The most used algorithms, in classification, were support vector machines, fuzzy inference, back-propagation neural-networks and recently, convolutional neural networks; in image segmentation, k-means was the most used; and, in feature extraction, histogram of oriented gradients, partial least-square regression, discrete wavelet transform and enhanced particle-swarm optimization were equally used. The most used sensing techniques were cameras, and field sensors such as temperature and humidity sensors. The most investigated insect pest was the whitefly, and the disease was root rot. Finally, this paper presents future works related to the use of AI and sensing techniques, to manage diseases and insect pests, in cotton; for instance, implement diagnostic, predictive and prescriptive models to know when and where the diseases and insect pests will attack and make strategies to control them.
Patients with anti-N-methyl-d-aspartate (NMDA) receptor encephalitis (ANMDARE) show a wide range of behavioral abnormalities and are often mistaken for primary psychiatric presentations. We aimed to determine the behavioral hallmarks of ANMDARE with the use of systematic neuropsychiatric and cognitive assessments.
Methods
A prospective study was conducted, with 160 patients admitted to the National Institute of Neurology and Neurosurgery of Mexico, who fulfilled criteria for possible autoimmune encephalitis and/or red flags along a time window of seven years. Cerebrospinal fluid (CSF) antibodies against the NR1 subunit of the NMDAR were processed with rat brain immunohistochemistry and cell-based assays with NMDA expressing cells. Systematic cognitive, neuropsychiatric, and functional assessments were conducted before knowing NMDAR antibodies results. A multivariate analysis was used to compare patients with and without definite ANMDARE according to antibodies in CSF.
Results
After obtaining the CSF antibodies results in 160 consecutive cases, 100 patients were positive and classified as having definite ANMDARE. The most frequent neuropsychiatric patterns were psychosis (81%), delirium (75%), catatonia (69%), anxiety-depression (65%), and mania (27%). Cognition was significantly impaired. A total of 34% of the patients had a predominantly neuropsychiatric presentation without seizures. After multivariate analysis, the clinical hallmarks of ANMDARE consisted of a catatonia–delirium comorbidity, tonic-clonic seizures, and orolingual dyskinesia.
Conclusions
Our study supports the notion of a neurobehavioral phenotype of ANMDARE characterized by a fluctuating course with psychotic and affective symptoms, catatonic signs, and global cognitive dysfunction, often accompanied by seizures and dyskinesia. The catatonia–delirium comorbidity could be a distinctive neurobehavioral phenotype of ANMDARE.
Conflicting results have been obtained through meta-analyses for the role of obesity as a risk factor for adverse outcomes in patients with coronavirus disease-2019 (COVID-19), possibly due to the inclusion of predominantly multimorbid patients with severe COVID-19. Here, we aimed to study obesity alone or in combination with other comorbidities as a risk factor for short-term all-cause mortality and other adverse outcomes in Mexican patients evaluated for suspected COVID-19 in ambulatory units and hospitals in Mexico. We performed a retrospective observational analysis in a national cohort of 71 103 patients from all 32 states of Mexico from the National COVID-19 Epidemiological Surveillance Study. Two statistical models were applied through Cox regression to create survival models and logistic regression models to determine risk of death, hospitalisation, invasive mechanical ventilation, pneumonia and admission to an intensive care unit, conferred by obesity and other comorbidities (diabetes mellitus (DM), chronic obstructive pulmonary disease, asthma, immunosuppression, hypertension, cardiovascular disease and chronic kidney disease). Models were adjusted for other risk factors. From 24 February to 26 April 2020, 71 103 patients were evaluated for suspected COVID-19; 15 529 (21.8%) had a positive test for SARS-CoV-2; 46 960 (66.1%), negative and 8614 (12.1%), pending results. Obesity alone increased adjusted mortality risk in positive patients (hazard ratio (HR) = 2.7, 95% confidence interval (CI) 2.04–2.98), but not in negative and pending-result patients. Obesity combined with other comorbidities further increased risk of death (DM: HR = 2.79, 95% CI 2.04–3.80; immunosuppression: HR = 5.06, 95% CI 2.26–11.41; hypertension: HR = 2.30, 95% CI 1.77–3.01) and other adverse outcomes. In conclusion, obesity is a strong risk factor for short-term mortality and critical illness in Mexican patients with COVID-19; risk increases when obesity is present with other comorbidities.
Mexico has a wealth of plant genetic resources, including Capsicum species. In southern Mexico, specifically in the western part of the Yucatan Peninsula, Maya farmers have preserved a great diversity of chilli pepper landraces of C. annuum, C. frutescens and C. chinense. However, the morphological diversity, capsaicinoid content, conservation status and potential use of these species have not been studied. To fill this gap and generate information to support the conservation and use of these species, we characterized the phenotypic diversity and capsaicinoid content for nine chilli pepper landraces from the western Yucatan Peninsula by assessing 15 quantitative and 39 qualitative traits for 10 plants of each landrace. For quantitative variables, two groups of chilli pepper landraces were obtained by principal component analysis and cluster analysis. Group I was formed by Rosita, Bobo, Dulce, Xcat'ik1, Xcat'ik2 and Verde landraces; Group II included the Maax, Bolita and Pico Paloma landraces. For qualitative variables, three groups of chilli pepper landraces were obtained; Group I included Dulce, Bobo, Xcat'ik1, Xcat'ik2 and Verde landraces, Group II only included the Rosita landrace, and Group III included Maax, Bolita and Pico Paloma landraces. Ultra-performance liquid chromatography–photodiode array (UPLC-PDA) quantification of capsaicinoids indicated higher values in landraces Rosita (14,062.3 μg/g D.W), Bolita (5928.1 μg/g D.W), Maax (3438.4 μg/g D.W) and Pico Paloma (3138.9 μg/g D.W). The Yucatan chilli pepper landraces provide valuable diverse germplasm for morphological characteristics and capsaicinoid content that can be used in breeding and conservation programmes.
A cumulative environmental exposure score for schizophrenia (exposome score for schizophrenia [ES-SCZ]) may provide potential utility for risk stratification and outcome prediction. Here, we investigated whether ES-SCZ was associated with functioning in patients with schizophrenia spectrum disorder, unaffected siblings, and healthy controls.
Methods
This cross-sectional sample consisted of 1,261 patients, 1,282 unaffected siblings, and 1,525 healthy controls. The Global Assessment of Functioning (GAF) scale was used to assess functioning. ES-SCZ was calculated based on our previously validated method. The association between ES-SCZ and the GAF dimensions (symptom and disability) was analyzed by applying regression models in each group (patients, siblings, and controls). Additional models included polygenic risk score for schizophrenia (PRS-SCZ) as a covariate.
Results
ES-SCZ was associated with the GAF dimensions in patients (symptom: B = −1.53, p-value = 0.001; disability: B = −1.44, p-value = 0.001), siblings (symptom: B = −3.07, p-value < 0.001; disability: B = −2.52, p-value < 0.001), and healthy controls (symptom: B = −1.50, p-value < 0.001; disability: B = −1.31, p-value < 0.001). The results remained the same after adjusting for PRS-SCZ. The degree of associations of ES-SCZ with both symptom and disability dimensions were higher in unaffected siblings than in patients and controls. By analyzing an independent dataset (the Genetic Risk and Outcome of Psychosis study), we replicated the results observed in the patient group.
Conclusions
Our findings suggest that ES-SCZ shows promise for enhancing risk prediction and stratification in research practice. From a clinical perspective, ES-SCZ may aid in efforts of clinical characterization, operationalizing transdiagnostic clinical staging models, and personalizing clinical management.
Most of the existing prediction models for COVID-19 lack validation, are inadequately reported or are at high risk of bias, a reason which has led to discourage their use. Few existing models have the potential to be extensively used by healthcare providers in low-resource settings since many require laboratory and imaging predictors. Therefore, we sought to develop and validate a multivariable prediction model of death in Mexican patients with COVID-19, by using demographic and patient history predictors. We conducted a national retrospective cohort study in two different sets of patients from the Mexican COVID-19 Epidemiologic Surveillance Study. Patients with a positive reverse transcription-polymerase chain reaction for SARS-CoV-2 and complete unduplicated data were eligible. In total, 83 779 patients were included to develop the scoring system through a multivariable Cox regression model; 100 000, to validate the model. Eight predictors (age, sex, diabetes, chronic obstructive pulmonary disease, immunosuppression, hypertension, obesity and chronic kidney disease) were included in the scoring system called PH-Covid19 (range of values: −2 to 25 points). The predictive model has a discrimination of death of 0.8 (95% confidence interval (CI) 0.796–0.804). The PH-Covid19 scoring system was developed and validated in Mexican patients to aid clinicians to stratify patients with COVID-19 at risk of fatal outcomes, allowing for better and efficient use of resources.