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Nevin Manimala Statistics

Quasi experimental study of same-sex marriage laws & sexually transmitted infections

Public Health Pract (Oxf). 2022 Oct 17;4:100330. doi: 10.1016/j.puhip.2022.100330. eCollection 2022 Dec.

ABSTRACT

OBJECTIVES: On June 26, 2015, the Supreme Court legalized same-sex marriages in the United States. This change has had some positive implications for the health of Lesbian, gay, bisexual, and transgender (LGBT) individuals and public health in general. Sexually transmitted infections (STIs) are common among LGBT individuals and legalization of same sex marriage effected the rate of emergency department (ED) visits for STIs. We examined the effect of same-sex marriage legalization on emergency department visits related to STIs among LGBT individuals.

STUDY DESIGN: Quasi-experimental difference-in-difference negative binomial design is used with state and time fixed-effects. We used data for 16 states from State Emergency Department Database and State Inpatient Database from January 2007-December 2015. People over 18 years of age visited the ED for STIs were included.

RESULTS: At 5% significance level, number of STIs cases decreased by 6.1% (95% CI, 0.906-0.973; P = 0.001) after same-sex marriage legalization. When adjusting for sex, these cases decreased by 7.6% (95% CI, 0.885-0.966; P < 0.001) for females, and 4.7% (95% CI, 0.914-0.995; P = 0.027) for males. By age cohorts, 18-24 aged had 8.5% (95% CI, 0.875-0.957; P < 0.001) decrease, while older age cohorts was statistically insignificant.

CONCLUSIONS: Our results show that there is an association between legalization and decreased STIs cases in ED visits. Policy makers need to focus on encouraging a positive attitude towards LGBT community, as it leads to better quality of health for sexual minority groups and leads to positive externalities for general community.

PMID:36300196 | PMC:PMC9589203 | DOI:10.1016/j.puhip.2022.100330

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Nevin Manimala Statistics

Abnormal brain activities in multiple frequency bands in Parkinson’s disease with apathy

Front Neurosci. 2022 Oct 10;16:975189. doi: 10.3389/fnins.2022.975189. eCollection 2022.

ABSTRACT

BACKGROUND: Apathy is among the most prevalent and incapacitating non-motor symptoms of Parkinson’s disease (PD). PD patients with apathy (PD-A) have been reported to have abnormal spontaneous brain activity mainly in 0.01-0.08 Hz. However, the frequency-dependence of brain activity in PD-A remains unclear. Therefore, this study aimed to examine whether abnormalities in PD-A are associated with specific frequency bands.

MATERIALS AND METHODS: Overall, 28 patients with PD-A, 19 PD patients without apathy (PD-NA), and 32 gender-, age-matched healthy controls (HCs) were enrolled. We collected resting-state functional magnetic resonance imaging (rs-fMRI) data, demographic information, and neuropsychological assessments, including apathy, depression, anxiety and cognitive function for every participant. The amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), percent amplitude of fluctuation (PerAF), regional homogeneity (ReHo), and degree centrality (DC) were calculated in the conventional (0.01-0.08 Hz), slow-4 (0.027-0.073 Hz), and slow-5 (0.01-0.027 Hz) frequency bands based on statistical parametric mapping (SPM12) and RESTplus V1.25. Two-sample t-tests were performed to compare the differences among the three groups.

RESULTS: PD-A reduced ALFF in the right anterior cingulate gyri in the slow-5 band and decreased fALFF in the right middle frontal gyrus in the conventional band, compared to patients with PD-NA. However, PerAF, ReHo, and DC could not distinguish PD-A from PD-NA in the three bands. PD-A had higher ALFF and fALFF in the left middle occipital gyrus and lower fALFF in the bilateral insula in the slow-5 band compared to the HCs. Furthermore, abnormal DC value in hippocampus and parahippocampus was observed separately in the conventional band and in the slow-4 band between PD-A and HCs. Moreover, PD-A and PD-NA showed lower ReHo in cerebellum in the three bands compared to the HCs.

CONCLUSION: Our study revealed that PD-A and PD-NA might have different neurophysiological mechanisms. Concurrently, the ALFF in the slow-5 band and fALFF in the conventional band were sensitive in differentiating PD-A from PD-NA. The influence of apathy on the disease can be considered in the future research on PD, with the effects of frequency band taken into account when analyzing spontaneous brain activities in PD-A.

PMID:36300172 | PMC:PMC9589053 | DOI:10.3389/fnins.2022.975189

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Nevin Manimala Statistics

Analysis of variation in pre-procedural fasting duration for common inpatient gastrointestinal procedures

Transl Gastroenterol Hepatol. 2022 Oct 25;7:39. doi: 10.21037/tgh-20-280. eCollection 2022.

ABSTRACT

BACKGROUND: Gastrointestinal procedures generally require pre-procedural fasting to optimize sedation safety. While the American Society of Anesthesiologists (ASA) recommends no intake of clear liquids and solid food 2-4 and 6-8 hours respectively prior to endoscopic procedures, the actual nil per os (NPO) duration for these procedures in practice is unknown. Our objective was to analyze NPO duration for patients undergoing these procedures and to determine its association with clinical and administrative variables.

METHODS: Inpatient data from 2016-2018 for the three procedures was extracted from electronic medical records and administrative data at a single-center tertiary academic medical center. Various statistical tests (Kruskal-Wallis, Wilcoxon, Pearson) were employed depending on the outcome type and data distribution.

RESULTS: One thousand three hundred and twenty-five esophagogastroduodenoscopies (EGDs), 753 colonoscopies, and 550 endoscopic retrograde cholangiopancreatographies (ERCPs) were included. The median NPO time for all procedures was 12.6 hours (IQR, 9.6-16.1 hours). The median NPO times were 12.6, 11.9, and 13.1 hours for EGD, colonoscopy, and ERCP respectively. NPO duration was greater for Hispanic than non-Hispanic patients (median 13.9 vs. 12.4, P=0.018). NPO duration was also associated with increased age (r=0.041, P=0.027) and inversely related to hospital occupancy (r=-0.08, P<0.0001). There were no statistically significant associations with provider type, hospital location or service, length of stay, and total number of comorbidities.

CONCLUSIONS: NPO times for common inpatient gastroenterology (GI) procedures generally exceeded 12 hours, suggesting there is an opportunity to adopt changes to decrease NPO duration for low-risk patients while maintaining adherence to guidelines and best practice.

PMID:36300152 | PMC:PMC9469011 | DOI:10.21037/tgh-20-280

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Identifying optimal therapies in patients with advanced hepatocellular carcinoma: a systematic review and network meta-analysis

Transl Gastroenterol Hepatol. 2022 Oct 25;7:38. doi: 10.21037/tgh-20-318. eCollection 2022.

ABSTRACT

BACKGROUND: Recently, increasing literature has been reported on optimal therapies in patients with advanced hepatocellular carcinoma (HCC) and many therapeutic modalities have been proposed to improve the survival rate. However, the results are not consistent due to different research protocols, small sample sizes and different study endpoints and there is no standard treatment protocol has been defined. Therefore, it is very important to explore the optimal bonding mode and to evaluate the efficacy and safety of the optimal sequential therapy for those patients.

METHODS: We searched available databases through January 2020 for relevant studies. The main outcome measure was 1-year overall survival (OS) and overall response rate (ORR); the secondary outcome measure was a composite of toxic effects retrieved grade 3 or 4 adverse events (AEs) from all included studies. Statistical analyses were conducted using STATA version 15 and GeMTC package in the R statistical software.

RESULTS: After a detailed review, 8 randomized controlled trials (RCTs) and 20 retrospective studies involving 3,675 advanced HCC patients were included for network meta-analysis. Indirect comparisons showed that hepatic arterial infusion chemotherapy (HAIC) plus radiofrequency ablation (RFA) was highest probability of obtaining the best OS rate of 1 year [surface under the cumulative ranking (SUCRA), 0.95] and ORR (SUCRA, 0.86) when compared with other potential optimal therapies and which had ranked the first in all treatment regimens, followed by HAIC (SUCRA, 0.75). Direct and indirect comparison of 1-year OS and ORR with all treatment regimens each other showed that for all treatment regimens, patients showed significant clinical benefit when compared with transcatheter arterial chemoembolization (TACE) or sorafenib alone. However, the incidence of treatment-related AEs of grade 3 or 4 occurred in patients who have received targeted drug sorafenib therapy (SUCRA, 0.51) compared with other interesting regimens.

CONCLUSIONS: HAIC may be a valuable therapeutic strategy for advanced HCC patients to prevent recurrence and metastasis after RFA, as well as in improving patient prognosis and quality of life. Meanwhile, HAIC combined with RFA is a safe and effective treatment in patients with advanced HCC, and this combination therapy can significantly prolong 1-year survival rate when compared with other optimal sequential therapies.

TRIAL REGISTRATION: This study is registered with PROSPERO, number CRD42020176149.

PMID:36300147 | PMC:PMC9468989 | DOI:10.21037/tgh-20-318

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Artificial intelligence in the detection, characterisation and prediction of hepatocellular carcinoma: a narrative review

Transl Gastroenterol Hepatol. 2022 Oct 25;7:41. doi: 10.21037/tgh-20-242. eCollection 2022.

ABSTRACT

Hepatocellular carcinoma (HCC) is a significant cause of morbidity and mortality worldwide. Despite significant advancements in detection and treatment of HCC, its management remains a challenge. Artificial intelligence (AI) has played a role in medicine for several decades, however, clinically applicable AI-driven solutions have only started to emerge, due to gradual improvement in sensitivity and specificity of AI, and implementation of convoluted neural networks. A review of the existing literature has been conducted to determine the role of AI in HCC, and three main domains were identified in the search: detection, characterisation and prediction. Implementation of AI models into detection of HCC has immense potential, as AI excels at analysis and integration of large datasets. The use of biomarkers, with the rise of ‘-omics’, can revolutionise the detection of HCC. Tumour characterisation (differentiation between benign masses, HCC, and other malignant tumours, as well as staging and grading) using AI was shown to be superior to classical statistical methods, based on radiological and pathological images. Finally, AI solutions for predicting treatment outcomes and survival emerged in recent years with the potential to shape future HCC guidelines. These AI algorithms based on a combination of clinical data and imaging-extracted features can also support clinical decision making, especially treatment choice. However, AI research on HCC has several limitations, hindering its clinical adoption; small sample size, single-centre data collection, lack of collaboration and transparency, lack of external validation, and model overfitting all results in low generalisability of the results that currently exist. AI has potential to revolutionise detection, characterisation and prediction of HCC, however, for AI solutions to reach widespread clinical adoption, interdisciplinary collaboration is needed, to foster an environment in which AI solutions can be further improved, validated and included in treatment algorithms. In conclusion, AI has a multifaceted role in HCC across all aspects of the disease and its importance can increase in the near future, as more sophisticated technologies emerge.

PMID:36300146 | PMC:PMC9468986 | DOI:10.21037/tgh-20-242

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Nevin Manimala Statistics

A retrospective assessment of COVID-19 model performance in the USA

R Soc Open Sci. 2022 Oct 19;9(10):220021. doi: 10.1098/rsos.220021. eCollection 2022 Oct.

ABSTRACT

Coronavirus disease 2019 (COVID-19) forecasts from over 100 models are readily available. However, little published information exists regarding the performance of their uncertainty estimates (i.e. probabilistic performance). To evaluate their probabilistic performance, we employ the classical model (CM), an established method typically used to validate expert opinion. In this analysis, we assess both the predictive and probabilistic performance of COVID-19 forecasting models during 2021. We also compare the performance of aggregated forecasts (i.e. ensembles) based on equal and CM performance-based weights to an established ensemble from the Centers for Disease Control and Prevention (CDC). Our analysis of forecasts of COVID-19 mortality from 22 individual models and three ensembles across 49 states indicates that-(i) good predictive performance does not imply good probabilistic performance, and vice versa; (ii) models often provide tight but inaccurate uncertainty estimates; (iii) most models perform worse than a naive baseline model; (iv) both the CDC and CM performance-weighted ensembles perform well; but (v) while the CDC ensemble was more informative, the CM ensemble was more statistically accurate across states. This study presents a worthwhile method for appropriately assessing the performance of probabilistic forecasts and can potentially improve both public health decision-making and COVID-19 modelling.

PMID:36300136 | PMC:PMC9579776 | DOI:10.1098/rsos.220021

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Effects of Aerobic Exercise on Sleep Quality and Mental Health of College Students

Occup Ther Int. 2022 Oct 10;2022:8366857. doi: 10.1155/2022/8366857. eCollection 2022.

ABSTRACT

OBJECTIVE: In recent years, people’s living standards have been greatly improved, but at the same time, it also brings many health problems, among which mental health problems and sleep problems of college students are important problems. The aim of the study is to explore the effect of physical activity intervention on college students’ mental health and provide a new way of thinking for colleges and universities to carry out mental health interventions.

METHODS: This paper focuses on the physical health problems of college students and explores the relationship between aerobic exercise, emotion, and sleep quality among college students. The SPSS statistical method was used to analyze the differences in aerobic exercise, emotion, and sleep quality among college students in terms of demographic variables; to explore the relationship between aerobic exercise, emotion, and sleep quality; and to construct a structural equation model using the relationship between them. Results/Discussion. This study explores the relationship between aerobic exercise and sleep quality and psychological health of college students, further analyzes the path model of the role of aerobic exercise and psychological health on sleep quality of college students, and verifies it through experiments, which proves to help universities and relevant departments understand the current situation of exercise and sleep quality of college students and provide timely and effective design of mandatory aerobic exercise courses for college students who lack exercise and have sleep problems. At the same time, it helps college students to understand their sleep situation and adjust their aerobic exercise courses according to their sleep status.

PMID:36300132 | PMC:PMC9576443 | DOI:10.1155/2022/8366857

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Biomarkers in the diagnostic algorithm of myalgic encephalomyelitis/chronic fatigue syndrome

Front Immunol. 2022 Oct 10;13:928945. doi: 10.3389/fimmu.2022.928945. eCollection 2022.

ABSTRACT

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disease that is mainly diagnosed based on its clinical symptoms. Biomarkers that could facilitate the diagnosis of ME/CFS are not yet available; therefore, reliable and clinically useful disease indicators are of high importance. The aim of this work was to analyze the association between ME/CFS clinical course severity, presence of HHV-6A/B infection markers, and plasma levels of autoantibodies against adrenergic and muscarinic acetylcholine receptors. A total of 134 patients with ME/CFS and 33 healthy controls were analyzed for the presence of HHV-6A/B using PCRs, and antibodies against beta2-adrenergic receptors (β2AdR) and muscarinic acetylcholine receptors (M3 AChR and M4 AChR) using ELISAs. HHV-6A/B U3 genomic sequence in whole-blood DNA was detected in 19/31 patients with severe ME/CFS, in 18/73 moderate ME/CFS cases, and in 7/30 mild ME/CFS cases. Severity-related differences were found among those with a virus load of more than 1,000 copies/106 PBMCs. Although no disease severity-related differences in anti-β2AdR levels were observed in ME/CFS patients, the median concentration of these antibodies in plasma samples of ME/CFS patients was 1.4 ng/ml, while in healthy controls, it was 0.81 ng/ml, with a statistically significant increased level in those with ME/CFS (p = 0.0103). A significant difference of antibodies against M4 AChR median concentration was found between ME/CFS patients (8.15 ng/ml) and healthy controls (6.45 ng/ml) (p = 0.0250). The levels of anti-M4 plotted against disease severity did not show any difference; however, increased viral load correlates with the increase in anti-M4 level. ME/CFS patients with high HHV-6 load have a more severe course of the disease, thus confirming that the severity of the disease depends on the viral load-the course of the disease is more severe with a higher viral load. An increase in anti-M4 AchR and anti-β2AdR levels is detected in all ME/CFS patient groups in comparison to the control group not depending on ME/CFS clinical course severity. However, the increase in HHV-6 load correlates with the increase in anti-M4 level, and the increase in anti-M4 level, in turn, is associated with the increase in anti-β2AdR level. Elevated levels of antibodies against β2AdR and M4 receptors in ME/CFS patients support their usage as clinical biomarkers in the diagnostic algorithm of ME/CFS.

PMID:36300129 | PMC:PMC9589447 | DOI:10.3389/fimmu.2022.928945

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Efficacy and safety profile of phosphodiesterase 4 inhibitor in the treatment of psoriasis: A systematic review and meta-analysis of randomized controlled trials

Front Immunol. 2022 Oct 10;13:1021537. doi: 10.3389/fimmu.2022.1021537. eCollection 2022.

ABSTRACT

BACKGROUND: Systemic therapy is an important treatment for psoriasis. Phosphodiesterase 4 (PDE4) inhibitors are new candidates for psoriasis therapy.

OBJECTIVES: To evaluate the efficacy and safety of PDE4 inhibitors in psoriasis.

METHOD: Randomized clinical trials with PDE4 inhibitors vs placebos in patients with psoriasis were identified from MEDLINE, Embase, Cochrane Controlled Register of Trials, ClinicalTrials.gov, from inception to July 14, 2022. The study was registered in PROSPERO (CRD42022345700).

RESULTS: 18 studies were identified, 9 of which included moderate-to-severe plaque psoriasis, 2 mild-to-moderate plaque psoriasis, and 7 psoriatic arthritis. A total of 6036 patients were included. Only one oral PDE4 inhibitor, apremilast, met the inclusion criteria. Overall, compared with the placebo, apremilast was associated with higher response rates in PASI-75 (RR, 3.22; 95% CI, 2.59-4.01), ScPGA of 0 or 1 (RR, 2.21; 95% CI, 1.69-2.91), PPPGA of 0 or 1 (RR 2.33; 95%CI, 1.16-4.66), and a significant decrease in NPASI (SMD, -0.46; 95% CI, -0.58 to -0.33). There were no significant differences in serious adverse events. Subgroup analyses showed that significantly more patients achieved PASI-75 after 16 weeks of therapy with apremilast of 20 mg bid (RR, 2.82; 95% CI, 2.01-3.95) and 30 mg bid (RR, 4.08; 95% CI, 3.12-5.33). Heterogeneity was not significant across studies.

CONCLUSION: Apremilast is a safe and effective treatment for plaque psoriasis and psoriatic arthritis, especially for difficult-to-treat sites.

SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero, identifier (CRD42022345700).

PMID:36300119 | PMC:PMC9589065 | DOI:10.3389/fimmu.2022.1021537

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TSH-SPP1/TRβ-TSH positive feedback loop mediates fat deposition of hepatocyte: Crosstalk between thyroid and liver

Front Immunol. 2022 Oct 10;13:1009912. doi: 10.3389/fimmu.2022.1009912. eCollection 2022.

ABSTRACT

AIMS: We conducted this study with two aims: (1) whether TRβ could be damaged by NAFLD, thereby represent thyroid hormone resistance-like manifestation and (2) to analyze the potential role of SPP1 in TH signaling pathway on the process of NAFLD. This study is expected to provide a new perspective on the therapeutic mechanism in the pathological course of NAFLD.

METHODS: A total of 166 patients diagnosed with type 2 diabetes mellitus (T2DM) were enrolled in this study. All patients had a BMI above 24 kg/m2 and were stratified into two groups: NAFLD and Non-NAFLD groups. Ages, gender, BMI, duration of diabetes and biochemical markers were obtained from participants’ records. We downloaded the dataset GSE48452 from GEO. The Pathview library was used to make the thyroid hormone signaling pathway visualization. The CIBERSORT algorithm was applied to calculate the infiltrated immune cells in obese NAFLD patients. C57BL/6 mice were randomly selected to constitute the normal control (NC) group and were fed a normal chow diet; the rest of the mice were fed a high-fat diet (HFD). After 12 weeks HFD feeding, the mice were sacrificed by cervical dislocation, and blood samples were collected. Mouse livers were also collected; one part of each liver was fixed in 10% formalin for histological analysis, and the other part was snap-frozen for subsequent molecular analyses. To explore the relationship between SPP1, TRβ and lipid deposition in hepatocytes, HepG2 cells were treated with 50 μ M concentration of PA and/or 20 ng/ml concentration of rh-SPP1 for 48h. In addition, the PC3.1-TRβ plasmid was constructed for further validation in HepG2 cells. We used THP-1 cells to construct an M1 macrophage model in vitro. We then analyzed THP-1 cells treated with various concentrations of PA or TSH.

RESULTS: (1) After adjusting for all factors that appeared P value less than 0.1 in the univariate analysis, BMI, TSH, and FT3 were significant independent risk factors of NAFLD (ORs were 1.218, 1.694, and 2.259, respectively); (2) A further analysis with BMI stratification indiacted that both FT3 and TSH had a significant change between individuals with NAFLD and Non-NAFLD in obesity subgroup; however, there was no statistic difference in over-weight group; (3) Bioinformatics analysis of GSE48452 had shown that several key molecular (including TRβ) of thyroid hormone pathway affected by NAFLD induced transcriptomic changes and the expression levels of SPP1, FABP4 and RPS4Y1 were significantly higher, while the expression levels of PZP and VIL1 were significantly decreased in NAFLD patients(adjusted p < 0.05, |logFC| > 1.0). The CIBERSORT algorithm showed increased M0 and M1, decreased M2 macrophage infiltration in NAFLD with comparison to healthy obese group; (4) After 12 weeks of HFD-feeding, the obesity mice had significantly higher serum TSH and In IHC-stained liver sections of obesity group, the intensity of SPP1 had a significantly increased, while TRβ reduced; (5) In vitro studies have shown SPP1 aggravated lipid deposition in hepatic cells dependent on down-regulating the expression of TRβ and TSH acts to promote secretion of SPP1 in M1 macrophage cells.

CONCLUSIONS: SPP1 secretion induced by M1 macrophage polarization, which may down-regulates TRβ in hepatocytes via paracrine manner, on the one hand, the lipid deposition aggravating in liver, on the other hand, a compensatory increase of TSH in serum. The increased TSH can further lead to the following SPP1 secretion of M1 macrophage. The positive feedback crosstalk between thyroid and liver, may be plays an important role in maintaining and amplifying pathological process of NAFLD.

PMID:36300106 | PMC:PMC9589424 | DOI:10.3389/fimmu.2022.1009912