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Nevin Manimala Statistics

Association between stroke and psychosis across four nationally representative psychiatric epidemiological studies

BJPsych Open. 2023 Apr 17;9(3):e71. doi: 10.1192/bjo.2023.47.

ABSTRACT

BACKGROUND: Both stroke and psychosis are independently associated with high levels of disability. However, psychosis in the context of stroke has been under-researched. To date, there are no general population studies on their joint prevalence and association.

AIMS: To estimate the joint prevalence of stroke and psychosis and their statistical association using nationally representative psychiatric epidemiology studies from two high-income countries (the UK and the USA) and two middle-income countries (Chile and Colombia) and, subsequently, in a combined-countries data-set.

METHOD: Prevalences were calculated with 95% confidence intervals. Statistical associations between stroke and psychosis and between stroke and psychotic symptoms were tested using regression models. Overall estimates were calculated using an individual participant level meta-analysis on the combined-countries data-set. The analysis is available online as a computational notebook.

RESULTS: The overall prevalence of probable psychosis in stroke was 3.81% (95% CI 2.34-5.82) and that of stroke in probable psychosis was 3.15% (95% CI 1.94-4.83). The odds ratio of the adjusted association between stroke and probable psychosis was 3.32 (95% CI 2.05-5.38). On the individual symptom level, paranoia, hallucinated voices and thought passivity delusion were associated with stroke in the unadjusted and adjusted analyses.

CONCLUSIONS: Rates of association between psychosis and stroke suggest there is likely to be a high clinical need group who are under-researched and may be poorly served by existing services.

PMID:37066638 | DOI:10.1192/bjo.2023.47

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Nevin Manimala Statistics

Identifying prognostic indicators for cognitive stimulation therapy for dementia: protocol for a systematic review and individual participant data meta-analysis

BJPsych Open. 2023 Apr 17;9(3):e69. doi: 10.1192/bjo.2023.46.

ABSTRACT

BACKGROUND: Cognitive stimulation therapy (CST) is the only non-pharmacological, treatment for dementia recommended by the UK National Institute for Health and Care Excellence, following multiple international trials demonstrating beneficial cognitive outcomes in people with mild-to-moderate dementia. However, there is limited understanding of whether treatment prognosis is influenced by sociodemographic and clinical variables (such as dementia subtype and gender), information which could inform clinical decision-making.

AIM: We describe the protocol for a systematic review and individual patient data meta-analysis assessing the prognostic factors related to CST. In publishing this protocol, we hope to increase the transparency of our work, and keep healthcare professionals aware of the latest evidence for effective CST.

METHOD: A systematic review will be conducted with searches of the bibliographic databases Medline, EMBASE and PsycINFO, from inception to 7 February 2023. Studies will be included if they are clinical trials of CST, use the Alzheimer’s Disease Assessment Scale – Cognitive Subscale (gold-standard measure of cognition in dementia in clinical trials) and include participants with mild-to-moderate dementia. Following harmonisation of the data-set, mixed-effect models will be constructed to explore the relationship between the prognostic indicators and change scores post-treatment.

CONCLUSIONS: This is the first individual patient data meta-analyses on CST, and has the potential to significantly optimise patient care. Previous analyses suggest people with advanced dementia could benefit more from CST treatment. Given that CST is currently used post-diagnosis in people with mild-to-moderate dementia, the implications of confirming this finding, among identifying other prognostic indicators, are profound.

PMID:37066632 | DOI:10.1192/bjo.2023.46

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Nevin Manimala Statistics

High rates of “atypical” single nucleotide polymorphism-based noninvasive prenatal screening results among consanguineous Arab American patients: A single center retrospective study

J Genet Couns. 2023 Apr 17. doi: 10.1002/jgc4.1714. Online ahead of print.

ABSTRACT

Noninvasive prenatal screening (NIPS), using placental cell-free DNA from a maternal blood sample, is currently the most sensitive and specific screening tool for detecting common fetal aneuploidies. The aim of this study was to compare the rates of “atypical” single nucleotide polymorphism (SNP)-based NIPS results and subsequent pregnancy outcomes between Arab American and non-Arab American patients. We conducted a retrospective cohort study of pregnant Arab and non-Arab American patients who had SNP-based NIPS performed between September 2018 and January 2021 at an urban health system in Michigan. The rate of “atypical” results and other perinatal outcomes were compared between groups using descriptive statistics. “Atypical” results due to multifetal gestations, either undisclosed or unknown at time of ordering, were excluded. Five thousand eight hundred and seventy-three patients underwent SNP-based NIPS: 771 (13.1%) were identified as Arab American, 5102 (86.9%) were non-Arab American, and 49 (0.8%) patients received “atypical” results. Arab patients represented only 13.1% of patients screened (771/5873) but had a significantly higher rate of “atypical” results than non-Arab American patients (17/771 [2.2%] vs. 32/5102 [0.6%]; p < 0.001). Of the 17 Arab patients with “atypical” results, 9 (52.9%) were in known consanguineous relationships. No major congenital anomalies or chromosomal aberrations were identified for any patients who had “atypical” results, and no significant differences in other perinatal outcomes were observed between Arab and non-Arab American patients. A better understanding of the association between consanguinity and “atypical” SNP-based NIPS results would aid in appropriate test selection and interpretation and may help physicians and genetic counselors provide better perinatal counseling and follow-up care for patients in consanguineous relationships.

PMID:37066630 | DOI:10.1002/jgc4.1714

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Nevin Manimala Statistics

COVID-19 after two years: trajectories of different components of mental health in the Spanish population

Epidemiol Psychiatr Sci. 2023 Apr 17;32:e19. doi: 10.1017/S2045796023000136.

ABSTRACT

AIMS: Our study aimed to (1) identify trajectories on different mental health components during a two-year follow-up of the COVID-19 pandemic and contextualise them according to pandemic periods; (2) investigate the associations between mental health trajectories and several exposures, and determine whether there were differences among the different mental health outcomes regarding these associations.

METHODS: We included 5535 healthy individuals, aged 40-65 years old, from the Barcelona Brain Health Initiative (BBHI). Growth mixture models (GMM) were fitted to classify individuals into different trajectories for three mental health-related outcomes (psychological distress, personal growth and loneliness). Moreover, we fitted a multinomial regression model for each outcome considering class membership as the independent variable to assess the association with the predictors.

RESULTS: For the outcomes studied we identified three latent trajectories, differentiating two major trends, a large proportion of participants was classified into ‘resilient’ trajectories, and a smaller proportion into ‘chronic-worsening’ trajectories. For the former, we observed a lower susceptibility to the changes, whereas, for the latter, we noticed greater heterogeneity and susceptibility to different periods of the pandemic. From the multinomial regression models, we found global and cognitive health, and coping strategies as common protective factors among the studied mental health components. Nevertheless, some differences were found regarding the risk factors. Living alone was only significant for those classified into ‘chronic’ trajectories of loneliness, but not for the other outcomes. Similarly, secondary or higher education was only a risk factor for the ‘worsening’ trajectory of personal growth. Finally, smoking and sleeping problems were risk factors which were associated with the ‘chronic’ trajectory of psychological distress.

CONCLUSIONS: Our results support heterogeneity in reactions to the pandemic and the need to study different mental health-related components over a longer follow-up period, as each one evolves differently depending on the pandemic period. In addition, the understanding of modifiable protective and risk factors associated with these trajectories would allow the characterisation of these segments of the population to create targeted interventions.

PMID:37066626 | DOI:10.1017/S2045796023000136

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Nevin Manimala Statistics

Evaluating robustness of a generalized linear model when applied to electronic health record data accessed using an Open API

Health Informatics J. 2023 Apr-Jun;29(2):14604582231170892. doi: 10.1177/14604582231170892.

ABSTRACT

The Integrated Clinical and Environmental Exposures Service (ICEES) provides open regulatory-compliant access to clinical data, including electronic health record data, that have been integrated with environmental exposures data. While ICEES has been validated in the context of an asthma use case and several other use cases, the regulatory constraints on the ICEES open application programming interface (OpenAPI) result in data loss when using the service for multivariate analysis. In this study, we investigated the robustness of the ICEES OpenAPI through a comparative analysis, in which we applied a generalized linear model (GLM) to the OpenAPI data and the constraint-free source data to examine factors predictive of asthma exacerbations. Consistent with previous studies, we found that the main predictors identified by both analyses were sex, prednisone, race, obesity, and airborne particulate exposure. Comparison of GLM model fit revealed that data loss impacts model quality, but only with select interaction terms. We conclude that the ICEES OpenAPI supports multivariate analysis, albeit with potential data loss that users should be aware of.

PMID:37066514 | DOI:10.1177/14604582231170892

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Nevin Manimala Statistics

Cardiac and Kidney Benefits of Empagliflozin in Heart Failure Across the Spectrum of Kidney Function: Insights from the EMPEROR-Preserved Trial

Eur J Heart Fail. 2023 Apr 16. doi: 10.1002/ejhf.2857. Online ahead of print.

ABSTRACT

BACKGROUND: In the EMPEROR-Preserved trial, empagliflozin improved clinical outcomes of patients with heart failure with preserved ejection fraction. In this pre-specified analysis, we aim to study the effect of empagliflozin on cardiovascular and kidney outcomes across the spectrum of kidney function.

METHODS: Patients were categorized by the presence or absence of chronic kidney disease (CKD) at baseline (CKD defined by an estimated glomerular filtration rate [eGFR] <60ml/min/1.73m2 or urine albumin to creatinine ratio [UACR]>300mg/g). The primary and key secondary outcomes were (1) a composite of cardiovascular death or first HF hospitalization (primary outcome); (2) total number of HF hospitalization, (3) eGFR slope; and a prespecified exploratory composite kidney outcome including a sustained ≥ 40% decline in eGFR, chronic dialysis or renal transplant. The median follow-up was 26.2 months.

RESULTS: 5,988 patients were randomized to empagliflozin or placebo, of whom 3,198 (53.5%) had CKD. Irrespective of CKD status, empagliflozin reduced the primary outcome (with CKD HR 0.80 [95% CI 0.69, 0.94], and without CKD HR 0.75 [95% CI 0.60 0.95], interaction P=0.67) and total (first and recurrent) hospitalizations for HF (with CKD 0.68, [95% CI 0.54, 0.86], and without CKD 0.89 [95% CI 0.66, 1.21], interaction P=0.17). Empagliflozin slowed the slope of eGFR decline by 1.43 (1.01, 1.85) ml/min/1.73m2 /year in patients with CKD and 1.31 (0.88, 1.74) ml/min/1.73m2 /year without CKD (interaction P=0.70). Empagliflozin did not reduce the pre-specified kidney outcome in patients with or without CKD (with CKD HR 0.97 [95% CI 0.71,1.34]; without CKD HR 0.92 [0.58, 1.48], interaction P=0.86) but slowed progression to macroalbuminuria and reduced the risk of acute kidney injury. The effect of empagliflozin on the primary composite outcome and the key secondary outcomes was consistent across 5 baseline eGFR categories (all interaction p-value > 0.05). Empagliflozin was well tolerated independent of CKD status.

CONCLUSIONS: In EMPEROR-Preserved, empagliflozin had a beneficial effect on the key efficacy outcomes in patients with and without CKD. Overall, the benefit and safety of empagliflozin was consistent across a wide range of kidney function spectrum, down to a baseline eGFR of 20 ml/min/1.73m2 .

PMID:37062851 | DOI:10.1002/ejhf.2857

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Nevin Manimala Statistics

How does ethnicity affect presence of advance care planning in care records for individuals with advanced disease? A mixed-methods systematic review

BMC Palliat Care. 2023 Apr 17;22(1):43. doi: 10.1186/s12904-023-01168-7.

ABSTRACT

BACKGROUND: Advance care planning (ACP) is the process supporting individuals with life-limiting illness to make informed decisions about their future healthcare. Ethnic disparities in ACP have been widely highlighted, but interpretation is challenging due to methodological heterogeneity. This review aims to examine differences in the presence of documented ACP in individuals’ care records for people with advanced disease by ethnic group, and identify patient and clinician related factors contributing to this.

METHODS: Mixed-methods systematic review. Keyword searches on six electronic databases were conducted (01/2000-04/2022). The primary outcome measure was statistically significant differences in the presence of ACP in patients’ care records by ethnicity: quantitative data was summarised and tabulated. The secondary outcome measures were patient and clinician-based factors affecting ACP. Data was analysed qualitatively through thematic analysis; themes were developed and presented in a narrative synthesis. Feedback on themes was gained from Patient and Public Involvement (PPI) representatives. Study quality was assessed through Joanna Briggs Institute Critical Appraisal tools and Gough’s Weight of Evidence.

RESULTS: N=35 papers were included in total; all had Medium/High Weight of Evidence. Fifteen papers (comparing two or more ethnic groups) addressed the primary outcome measure. Twelve of the fifteen papers reported White patients had statistically higher rates of formally documented ACP in their care records than patients from other ethnic groups. There were no significant differences in the presence of informal ACP between ethnic groups. Nineteen papers addressed the secondary outcome measure; thirteen discussed patient-based factors impacting ACP presence with four key themes: poor awareness and understanding of ACP; financial constraints; faith and religion; and family involvement. Eight papers discussed clinician-based factors with three key themes: poor clinician confidence around cultural values and ideals; exacerbation of institutional constraints; and pre-conceived ideas of patients’ wishes.

CONCLUSIONS: This review found differences in the presence of legal ACP across ethnic groups despite similar presence of informal end of life conversations. Factors including low clinician confidence to deliver culturally sensitive, individualised conversations around ACP, and patients reasons for not wishing to engage in ACP (including, faith, religion or family preferences) may begin to explain some documented differences.

TRIAL REGISTRATION: PROSPERO-CRD42022315252.

PMID:37062841 | DOI:10.1186/s12904-023-01168-7

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Nevin Manimala Statistics

Antioxidants-related nuclear factor erythroid 2-related factor 2 gene variants associated with HBV-related liver disease

Cancer Cell Int. 2023 Apr 16;23(1):72. doi: 10.1186/s12935-023-02918-6.

ABSTRACT

BACKGROUND: Accumulating evidence demonstrated that nuclear factor erythroid 2-related factor 2 (NRF2) expression plays a crucial role in the proliferation, invasion and metastasis of hepatocellular carcinoma (HCC). However, research on the effect of NRF2 genetic polymorphism on the development of chronic hepatitis B (CHB), HBV-related liver cirrhosis (LC) and HCC is still missing.

METHODS: A total of 673 individuals were included in the study and classified into four groups: 110 CHB cases, 86 LC cases, 260 HCC cases, and 217 healthy controls. ​The polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing method were used to detect rs6721961 and rs6726395 polymorphisms.

RESULTS: Patients carrying the T allele in rs6721961 were at a higher risk of HCC than individuals with the G allele compared to CHB patients (OR = 1.561, 95%CI: 1.003-2.430, P = 0.048). The statistically significant differences were also found in the rs6721961 GT genotype (OR = 2.298, 95% CI: 1.282-4.119, P = 0.005) and dominant model (OR = 2.039, 95% CI: 1.184-0.510, P = 0.010). Subgroup analysis also detected a significant association between the rs6721961 T allele and the development of HCC in older subjects (≥ 50 years) (OR = 2.148, 95% CI: 1.208-3.818, P = 0.009). Statistical analysis results indicated that subjects carrying haplotype G-A had a lower risk of HCC (OR = 0.700, 95% CI: 0.508-0.965, P = 0.028).

CONCLUSIONS: For the first time, our findings provide evidence that the NRF2 gene rs6721961 variation is a potential genetic marker of susceptibility to HCC.

PMID:37062839 | DOI:10.1186/s12935-023-02918-6

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Nevin Manimala Statistics

Probiotic vs. placebo and metformin: probiotic dietary intervention in polycystic ovary syndrome – A randomized controlled trial

BMC Endocr Disord. 2023 Apr 17;23(1):82. doi: 10.1186/s12902-023-01294-6.

ABSTRACT

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a very common endocrine disorder with a variety of symptoms. Current treatment options include the contraceptive pill as well as metformin, however both treatments are limited to specific symptoms and have common side effects.

METHODS: This phase IV study is a monocentric, double blinded randomized clinical trial comparing the effects of six months of probiotic intervention to a placebo, with an additional open-label metformin arm as a positive control in a total of 180 participants with PCOS. The first of three visits is the screening visit, where inclusion/exclusion criteria are assessed. At the first visit, they are randomised into one of the three treatment arms equally and receive their study medication. After six months, all assessments from the first two visits are repeated. The primary endpoint is the change in free testosterone levels after the intervention, while secondary endpoints include changes in hormonal and metabolic parameters associated with PCOS as well as the gut microbial composition and diversity after intervention.

DISCUSSION: Based on new insights into the role of the gut microbiome in PCOS development, this study is exploring the potential of using probiotics to treat women with PCOS symptoms. If successful, this new therapy approach could open a new realm of possibilities for treating PCOS. To our knowledge, this is the first study comparing probiotic intervention with not only placebo treatment, but also metformin. This study has been approved by the ethics committee of the Medical University of Graz (EC number 32-230 ex 19/20).

REGISTRATION: EudraCT number: 2020-000228-20.

CLINICALTRIALS: gov identifier: NCT04593459.

PROTOCOL VERSION: Version 1.5 dated 29th November 2021.

PMID:37062834 | DOI:10.1186/s12902-023-01294-6

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Nevin Manimala Statistics

Consciousness, Exascale Computational Power, Probabilistic Outcomes, and Energetic Efficiency

Cogn Sci. 2023 Apr;47(4):e13272. doi: 10.1111/cogs.13272.

ABSTRACT

A central problem in the cognitive sciences is identifying the link between consciousness and neural computation. The key features of consciousness-including the emergence of representative information content and the initiation of volitional action-are correlated with neural activity in the cerebral cortex, but not computational processes in spinal reflex circuits or classical computing architecture. To take a new approach toward considering the problem of consciousness, it may be worth re-examining some outstanding puzzles in neuroscience, focusing on differences between the cerebral cortex and spinal reflex circuits. First, the mammalian cerebral cortex exhibits exascale computational power, a feature that is not strictly correlated with the number of binary computational units; second, individual computational units engage in noisy coding, allowing random electrical events to gate signaling outcomes; third, this noisy coding results in the synchronous firing of statistically random populations of cells across the neural network, at a range of nested frequencies; fourth, the system grows into a more ordered state over time, as it encodes the predictive value gained through observation; and finally, the cerebral cortex is extraordinarily energy efficient, with very little free energy lost to entropy during the work of information processing. Here, I argue that each of these five key features suggest the mammalian brain engages in probabilistic computation. Indeed, by modeling the physical mechanisms of probabilistic computation, we may find a better way to explain the unique emergent features arising from cortical neural networks.

PMID:37062806 | DOI:10.1111/cogs.13272