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In recent observational studies, a potential link between prostatitis and prostate cancer (PCa) has been hinted at, yet the causality remains ambiguous. In our endeavor to scrutinize the conceivable causal nexus between prostatitis and PCa, we embarked upon a Mendelian randomization (MR) study. MR circumvents arbitrary groupings by employing genetic variations that have a strong association with the exposure as instrumental variables to infer causal relationships between exposures and outcomes. The etiology of PCa remains elusive. Given that prostatitis and prostate cancer occupy the same anatomical region, MR can more effectively delineate their relationship by mitigating confounding variables. This method can indirectly elucidate disease correlations, thereby contributing to cancer prevention strategies. FinnGen Consortium data were used for the prostatitis genome-wide association study (GWAS), including 74,658 participants. UK biobank baseline data (ncase = 3436, ncontrol = 459574), European Bioinformatics Institute Database (ncase = 79148, ncontrol = 61106), and IEU openGWAS database (ncase = 79148, ncontrol = 61106) were used for PCa outcomes, mostly for European population samples. Data from the GWSAs for prostatitis were compared with data from the three GWASs for PCa, respectively, in an analysis of an MR. Utilizing the inverse variance weighting (IVW) methodology as our primary analytical framework, we delved into a meticulous exploration of the conceivable causal association between prostatitis and PCa. Furthermore, we deployed supplementary methodologies, including Maximum Likelihood, MR-Egger, weighted median, and MR-PRESSO, to thoroughly assess and scrutinize the causality aspect comprehensively. Cochran's Q statistic is employed as a metric to quantify the heterogeneity inherent in instrumental variables. The inverse variance weighted analysis revealed no discernible effect of prostatitis on PCa in the three PCa GWAS databases (odds ratio [OR]: 1.001, 95% Confidence Interval [CI]: 0.999–1.002, p = 0.28), (OR: 1.015, 95% CI: 0.981–1.050, p = 0.40), (OR: 1.015, 95% CI: 0.981–1.050, p = 0.40). Similarly, employing MR-Egger did not yield substantial evidence (OR: 0.999, 95% CI: 0.999–1.002, p = 0.89), (OR: 1.103, 95% CI: 1.006–1.209, p = 0.07), (OR: 1.103, 95% CI: 1.006–1.209, p = 0.07). The weighted median analysis also failed to provide convincing support for the impact of prostatitis on the incidence of PCa (OR: 1.001, 95% CI: 1.000-1.002, p = 0.064), (OR: 0.989, 95% CI: 0.946–1.034, p = 0.64), (OR: 0.989, 95% CI: 0.945–1.036, p = 0.65). The results of the MR showed no causality from prostatitis to PCa. [ABSTRACT FROM AUTHOR]

Background: Differences in 30-day survival between males and females following out-of-hospital cardiac arrest (OHCA) are well documented. Biological sex does not appear to be responsible for this survival gap independently of potential mediating factors. We investigated the role of potential mediating factors in the association between sex and 30-day survival after OHCA in Scotland. Methods: A retrospective cohort study of adult non-emergency medical services (EMS)-witnessed OHCA cases was conducted. We included incidents from the whole of Scotland where resuscitation was attempted by the Scottish Ambulance Service (SAS) between April 1, 2011 and March 1, 2020. Logistic regression was used to assess the contribution of age, socioeconomic status, urban–rural location of the incident, initial cardiac rhythm, bystander cardiopulmonary resuscitation (CPR) and location of the arrest (home or away from home). Results: The cohort consisted of 20,585 OHCA cases (13,130 males and 7,455 females). Median (IQR) age was 69 years (22) for males versus 72 years (23) for females. A higher proportion of males presented with initial shockable rhythm (29.4% versus 12.4%) and received bystander CPR (56.7% versus 53.2%) compared with females. A higher proportion of females experienced OHCA at home (78.8% versus 66.8%). Thirty-day survival after OHCA was higher for males compared with females (8.2% versus 6.2%). Males had higher age-adjusted odds for 30-day survival after OHCA than females (OR, 1.26; (95% CI), 1.12–1.41). Mediation analyses suggested a role for initial cardiac rhythm and location of the arrest (home or away from home). Conclusion: Males had higher age-adjusted 30-day survival after OHCA than females. However, after adjusting for confounding/mediating variables, sex was not associated with 30-day survival after OHCA. Our findings suggest that initial cardiac rhythm and location of the arrest are potential mediators of higher 30-day OHCA survival in males than females. Improving proportions of females who present with initial shockable rhythm may reduce sex differences in survival after OHCA. [ABSTRACT FROM AUTHOR]

The relationship between smoking and testosterone levels in adult males remains a topic of ongoing debate. Serum cotinine is considered a reliable marker of both smoking intensity and exposure to tobacco smoke. Therefore, we aim to examine the association between serum cotinine levels and total testosterone concentrations in adult males using data from the U.S. National Health and Nutrition Examination Survey (NHANES) database. Our study assessed the relationship between serum cotinine and total testosterone using weighted linear regression models and subgroup analysis. A fully adjusted model with smooth curve fitting was employed to investigate the potential nonlinear association between serum cotinine and total testosterone. Threshold effects were analyzed to identify the inflection point between serum cotinine and total testosterone. Indeed, a total of 7797 participants were included in our study. After adjusting for potential confounding variables, the findings indicate a positive association between serum cotinine levels and total testosterone levels (β: 0.05, 95%CI: 0.02, 0.09). Furthermore, applying smoothed curve fitting analysis and threshold effects, an inflection point was detected at a serum cotinine level of 487 ng/ml. Above this threshold, total testosterone levels declined with increasing serum cotinine levels. In conclusion, the findings of our study suggest a positive association between elevated serum cotinine levels and total testosterone levels in adult men. However, it is essential to note that this association may be reversed at excessively high serum cotinine concentrations. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to assess the efficacy and safety of ballon dilation of the eustachian tube (BDET) in adult population suffering from Eustachian tube dysfunction (ETD). Methods: Following PRISMA criteria, a systematic review was conducted by searching PubMed, Cochrane, and Embase databases from January 2015 to March 2024. The primary outcomes included Eustachian Tube Score (ETS), tympanometry, and Valsalva maneuver. The quality of studies was assessed using the Quality in Prognostic Studies (QUIPS) instrument. Results: Overall, 11 studies were incorporated into the systematic review: two RCTs, three prospective investigations, and six retrospective studies. The balloon dilation in all investigations was performed using either Spiggle & Theis or Acclarent catheters for balloon dilation. There was heterogeneity across studies examining the effect of BDET on persistent ETD in terms of patient selection, period of follow-up, administration of conservative or surgical therapies, and use of assessment methods. Overall, the treatment yielded alleviation of symptoms, which either exhibited stability over time or demonstrated further improvement after an average duration of follow-up. Moreover, the incidence of complications was categorized as low and resolving spontaneously. The majority of the studies exhibited a high risk of bias related to confounding variables, and consequently, the overall risk of bias across most studies was considered high. Conclusion: The findings suggest BDET holds promise for ETD treatment, reducing symptom severity with minimal complications. Nonetheless, there is a need for improved studies that adhere to established indications, methodologies, and outcomes to establish a more robust body of evidence. [ABSTRACT FROM AUTHOR]

Products that may reduce menstrual flow from the endometrial cavity to the vagina (i.e. tampons and menstrual cups) could facilitate retrograde menstruation and the spillage of blood into the myometrium, two mechanisms which could be major determinants in endometriosis and adenomyosis pathogenesis. The aim of this narrative review is to summarize the evidence regarding the mechanical role menstrual products may have in the pathogenesis of these two conditions. Evidence in this regard is inconclusive. While Darrow and colleagues observed that 14 or more years of tampon use were associated with endometriosis (OR 3.6; 95% CI, 1.04–13.5); in Meaddough and colleagues' retrospective study, the percentage of women using pads only was significantly higher among those with endometriosis than among those without the condition (31% vs 22%). Three further groups failed to find an association between endometriosis/adenomyosis and any type of menstrual product. The only case that may be considered as a sort of proof-of-concept of the association between products potentially reducing anterograde menstrual flow and endometriosis was reported by Spechler and colleagues, who described the case of a 41 year-old who developed endometriosis after having used a menstrual cup on a regular basis. However, the number of studies on the subject is scarce, study populations are exiguous and a greater attention to temporality of endometriosis onset in relation to when women started habitually using a specific menstrual product is needed. Confounding variables including type and quantity of endocrine disruptors contained in menstrual products should also be addressed. At the present moment, no recommendation can be provided on the safety of one type of menstrual product compared to another. [ABSTRACT FROM AUTHOR]

The objective of this study is to investigate the association between diabetic kidney disease (DKD) and various adiposity indexes, including the visceral adiposity index (VAI), lipid accumulation product index (LAPI), visceral fat area (VFA), and subcutaneous fat area (SFA) in type 2 diabetes mellitus (T2DM) patients. 1176 T2DM patients was stratified into normoalbuminuria (NO), microalbuminuria (MI), and macroalbuminuria (MA) groups based on their urinary albumin-creatinine ratio (UACR) levels. To analyse the correlation between DKD and VAI, LAPI, VFA, and SFA. Multiple linear, restricted cubic spline (RCS), subgroup analyses, and multinomial logistic regression were employed. After adjusting for confounding variables, UACR levels were positively associated with VAI, LAPI, and VFA. RCS curves demonstrated a J-shaped dose-response relationship between VAI and LAPI levels with UACR levels, while a linear correlation was observed between UACR levels and VFA. Using the NO and MI as reference groups, the MA group was analysed as the observational group. DKD severity was positively associated with VAI, LAPI and VFA. When evaluating DKD prognostic risk, with the low-risk and medium-risk groups serving as reference categories, a significant positive correlation was identified with prognostic risk and VAI, LAPI, and VFA in the high-risk or very high-risk groups. In patients with T2DM, DKD severity and prognostic risk were positively correlated with VAI, LAPI, and VFA levels. [ABSTRACT FROM AUTHOR]

Purpose: To assess the impact of maternal age on the association between maternal basal FSH and aneuploidy. Methods: A retrospective study including data from 1749 blastocysts diagnosed as euploid or aneuploid by PGT-A (preimplantation genetic testing for aneuploidy). Aneuploidy incidence was compared between embryos from mothers with high vs. low basal FSH levels (above and below the group median, respectively) in total, pre-AMA (advanced maternal age; < 35 years, 198 embryos) and AMA (≥ 35 years, 1551 embryos) patient groups, separately. To control for the interference of potentially confounding variables, the association between aneuploidy and high basal FSH levels was assessed by multivariate logistic analysis in overall, pre-AMA and AMA patient groups. Results: Overall, aneuploidy rate was 9% higher (p = 0.02) in embryos from patients with high basal FSH (63.7%) compared to those with low basal FSH (58.4%). In the pre-AMA subgroup, aneuploidy incidence was 35% higher (p = 0.04) in embryos from patients with high basal FSH (53.5%) compared to those with low basal FSH (39.4%). Differently, aneuploidy occurrence did not vary between embryos from AMA patients with low (61.0%) and high (64.8%) basal FSH (p = 0.12). The multivariate analysis revealed that, in pre-AMA embryos, the association between aneuploidy occurrence and high basal FSH is independent of potential confounding variables (p = 0.04). Conclusion: Maternal basal FSH values are associated with embryo aneuploidy in pre-AMA but not in AMA patients. The present findings suggest that basal FSH is a useful parameter to assess aneuploidy risk in pre-AMA patients and reinforce the hypothesis that excessive FSH signalling can predispose to oocyte meiotic errors. [ABSTRACT FROM AUTHOR]

The World Bank assessed that meeting the goal of eradicating extreme poverty by 2030 appears to be challenging (or even impossible) for the world. This observation requires an urgent need for policymakers to explore potent instruments to combat poverty globally. Numerous studies have examined various determinants of poverty. However, financial literacy—a relatively new concept—remains underexplored, especially on a global scale. As such, this study is conducted to assess whether financial literacy can reduce the likelihood of falling into poverty using a unique dataset of 113 countries. We find that financial literacy has a significant and negative association with the likelihood of falling into poverty. Beyond association, the causal analysis shows that financial literacy exerts a negative effect on poverty. Our findings remain largely unchanged across different sub-samples based on socio-demographic factors, regions and country income levels, and robustness analyses. [ABSTRACT FROM AUTHOR]

Purpose: Inflammation is strongly correlated with obesity. However, very few studies have reported associations between novel inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), C-reactive protein (CRP), and C-reactive protein-to-albumin ratio (CAR), and different obesity types. Therefore, this study aimed to explore the associations of these inflammatory markers with generalized and abdominal obesity. Materials and Methods: This cross-sectional study included data from 2015 to 2018 obtained from the National Health and Nutrition Examination Survey. Multivariate regression analysis was performed to determine the associations between different inflammatory biomarkers and obesity. The discriminative capacities of the markers for obesity types were depicted using receiver operating characteristic (ROC) curves, with corresponding area under the curve (AUC) metrics quantifying this discrimination. Results: After adjusting for confounding variables, generalized obesity was found to be positively associated with an increased risk of NLR by 35%, SII by 52%, CRP by 941%, and CAR by 925%, compared with the reference groups. In the model, the CRP concentration and CAR demonstrated high AUC values of 0.690 and 0.889, respectively, for the identification of generalized and abdominal obesity (P < 0.05). Conclusion: This study revealed associations between obesity and inflammatory biomarkers, such as the NLR, SII, CRP, and CAR. CRP is the most sensitive marker for generalized obesity, while CAR shows the strongest association with abdominal obesity. These findings suggest that inflammatory biomarkers may be useful for assessing and managing obesity-related health concerns. [ABSTRACT FROM AUTHOR]

Employment of appropriate study strategies is crucial for academic success. Previous findings on whether use of specific strategies is related to academic performance in real educational settings were inconsistent, and their participant samples were largely restricted to undergraduate students. The current study recruited a large sample (i.e., 4,331 participants) of elementary school students to explore the association between use of specific strategies and academic performance by using multilevel linear regression models, in which two potential confounding variables (i.e., SES and gender) are controlled for. The results showed that after controlling for SES, gender and other study strategies, use of spaced study, rereading and help-seeking positively related to academic performance in elementary school students. However, use of self-testing, highlighting/underlining, note-taking, summarizing, making diagrams, making study plans and studying with friends did not positively correlate with academic performance in elementary school children. Instructors and parents are suggested to encourage children to study by using the effective study strategies, and teach them how to maximize the benefits of these strategies. [ABSTRACT FROM AUTHOR]

With distinct advantages in clinical application, total knee arthroplasty (TKA) is an effective surgical option for treating end-stage osteoarthritis in the knee. After TKA, incisional problems are one of the major factors influencing the speed in which patients recover. Although it is widely acknowledged that preoperative hypoalbuminemia and the incidence of incisional complications are significantly associated, it is still unclear if postoperative hypoalbuminemia raises the risk of incisional complications following TKA. Furthermore, human serum albumin (HSA) is frequently utilized domestically and internationally to treat postoperative hypoalbuminemia; nevertheless, there is ongoing discussion on whether HSA supplementation can enhance postoperative clinical outcomes. To investigate the relationship between hypoalbuminemia and suboptimal incision healing following TKA, as well as to determine whether HSA supplementation can enhance incision healing after surgery, we collected clinical data for this study. The study sample consisted of 22 patients with poorly healed incisions and 120 cases with normal healing of incisions who underwent TKA treatment for knee osteoarthritis (KOA) in the operator's hospital's Department of Orthopaedics between July 1, 2020, and July 1, 2023. To determine the prevalence of postoperative poor incision healing, data on patients' basic characteristics, preoperative test results, surgical data, postoperative test results, and postoperative incision healing were gathered. The contributing factors to inadequate recovery after surgery were examined using SPSS software. After controlling for confounding variables, a multivariate regression analysis model was used to examine the relationship between postoperative hypoalbuminemia, HSA supplementation, and poor incision healing. 22 cases (15.49%) had poor wound healing following surgery. The findings of multivariate regression analysis after controlling for confounders indicated that there was no correlation between poor wound healing and postoperative albumin level (P > 0.05). Similarly, there was no association (P > 0.05) seen between HSA supplementation and poor incision healing. Following the TKA, postoperative hypoalbuminemia does not raise the risk of incisional problems, and postoperative HSA supplementation neither lowers nor enhances the risk of inadequate incisional healing. [ABSTRACT FROM AUTHOR]

Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as a predominant liver disease worldwide, lacking approved drugs for clinical intervention at present. The composite dietary antioxidant index (CDAI) is used to assess the anti-inflammatory properties of diets, with higher CDAI indicating greater exposure to antioxidants. Therefore, our study aimed to explore the relationship between CDAI and MASLD in order to identify potential therapeutic approaches. We collected data from 12,286 participants in the National Health and Nutrition Examination Survey (NHANES) database from 2017 to 2020 for analysis. The correlation between CDAI and MASLD status, controlled attenuation parameter (CAP), and liver stiffness measurement (LSM) was evaluated by adjusting for confounding variables using weighted binary logistic regression model, linear regression model, and restricted cubic spline (RCS) regression. The median CDAI in this study was − 0.3055 (interquartile range [IQR], − 2.299 to 2.290). The CDAI was higher in the population characterized by being young, female, higher income, absence of diabetes, and non-MASLD. After multivariable adjustment, the results of the weighted linear regression model suggested that higher CDAI may be associated with a decrease in CAP values; the results of the RCS regression model indicated significant non-linear relationships between MASLD status, CAP, LSM, and CDAI. The CDAI corresponding to the inflection points of the relationship curves between MASLD status, CAP, LSM, and CDAI were 0.349, 0.699, and 0.174, respectively. After further stratification by gender, we found that the relationship between MASLD status, CAP, and CDAI was significantly linear for females, whereas for males, it was non-linear, and the CDAI values corresponding to the inflection points in the curves for males were 1.325 and 0.985, respectively. We found that higher CDAI may be associated with decreased CAP values, particularly significant in females, suggesting that the intake of complex dietary antioxidants may ameliorate hepatic steatosis and reduce the occurrence of MASLD. Therefore, promoting dietary patterns rich in antioxidants may be an appropriate strategy to reduce the incidence of MASLD. [ABSTRACT FROM AUTHOR]

Background: Noninvasive ventilation (NIV) is commonly used in clinical practice to reduce intubation times and enhance patient comfort. However, patient-ventilator interaction (PVI) during NIV, particularly with helmet interfaces, can be challenging due to factors such as dead space and compliance. Neurally adjusted ventilatory assist (NAVA) has shown promise in improving PVI during helmet NIV, but limitations remain. A new mode, neural pressure support (NPS), aims to address these limitations by providing synchronized and steep pressurization. This study aims to assess whether NPS per se improves PVI during helmet NIV compared to standard pressure support ventilation (PSV). Methods: The study included adult patients requiring NIV with a helmet. Patients were randomized into two arms: one starting with NPS and the other with PSV; the initial ventilatory parameters were always set as established by the clinician on duty. Physiological parameters and arterial blood gas analysis were collected during ventilation trials. Expert adjustments to initial ventilator settings were recorded to investigate the impact of the expertise of the clinician as confounding variable. Primary aim was the synchrony time (Timesync), i.e., the time during which both the ventilator and the patient (based on the neural signal) are on the inspiratory phase. As secondary aim neural-ventilatory time index (NVTI) was also calculated as Timesync divided to the total neural inspiratory time, i.e., the ratio of the neural inspiratory time occupied by Timesync. Results: Twenty-four patients were enrolled, with no study interruptions due to safety concerns. NPS demonstrated significantly longer Timesync (0.64 ± 0.03 s vs. 0.37 ± 0.03 s, p < 0.001) and shorter inspiratory delay (0.15 ± 0.01 s vs. 0.35 ± 0.01 s, p < 0.001) compared to PSV. NPS also showed better NVTI (78 ± 2% vs. 45 ± 2%, p < 0.001). Ventilator parameters were not significantly different between NPS and PSV, except for minor adjustments by the expert clinician. Conclusions: NPS improves PVI during helmet NIV, as evidenced by longer Timesync and better coupling compared to PSV. Expert adjustments to ventilator settings had minimal impact on PVI. These findings support the use of NPS in enhancing patient-ventilator synchronization and warrant further investigation into its clinical outcomes and applicability across different patient populations and interfaces. Trial registration: This study was registered on www.clinicaltrials.gov NCT06004206 Registry URL: https://clinicaltrials.gov/study/NCT06004206 on September 08, 2023. [ABSTRACT FROM AUTHOR]

Data on the association between social isolation, loneliness, and risk of incident coronary heart disease (CVD) are conflicting. The objective of this study is to determine the relationship between social isolation and loneliness, and the risk of developing cardiovascular disease (CVD) in middle age and elderly using meta-analysis. The purpose of the bibliometric analysis is to systematically evaluate the existing literature on the relationship between social isolation, loneliness, and the risk of developing cardiovascular disease (CVD) in middle-aged and elderly individuals. A comprehensive search through four electronic databases (MEDLINE, Google Scholar, Scopus, and Web of Science) was conducted for published articles that determined the association between social isolation and/or loneliness and the risk of developing coronary heart disease from June 2015 to May 2023. Two independent reviewers reviewed the titles and abstracts of the records. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline to conduct the systematic review and meta-analysis. Data for the bibliometric analysis was obtained from the Scopus database and analyzed using VOSviewer and Bibliometrix applications. Six studies involving 104,511 patients were included in the final qualitative review and meta-analysis after screening the records. The prevalence of loneliness ranged from 5 to 65.3%, and social isolation ranged from 2 to 56.5%. A total of 5073 cardiovascular events were recorded after follow-up, ranging between 4 and 13 years. Poor social relationships were associated with a 16% increase in the risk of incident CVD (Hazard Ratio of new CVD when comparing high versus low loneliness or social isolation was 1.16 (95% Confidence Interval (CI) 1.10–1.22). The bibliometric analysis shows a rapidly growing field (9.77% annual growth) with common collaboration (6.37 co-authors/document, 26.53% international). The US leads research output, followed by the UK and Australia. Top institutions include University College London, Inserm, and the University of Glasgow. Research focuses on "elderly," "cardiovascular disease," and "psychosocial stress," with recent trends in "mental health," "social determinants," and "COVID-19". Social isolation and loneliness increase the risk of and worsen outcomes in incident cardiovascular diseases. However, the observed effect estimate is small, and this may be attributable to residual confounding from incomplete measurement of potentially confounding or mediating factors. The results of the bibliometric analysis highlight the multidimensional nature of CVD research, covering factors such as social, psychological, and environmental determinants, as well as their interplay with various demographic and health-related variables. [ABSTRACT FROM AUTHOR]

A large body of previous research has provided support for the role of attentional bias as a maintaining factor in addiction. This systematic review aimed to investigate the extent and nature of attentional bias as a phenomenon which exists within problem gamblers. Studies were identified through searches of three databases (MedLine, PSYCHINFO, and Web of Science) and examination of the reference lists of the final studies meeting criteria for inclusion. The scope of the review included empirical studies making experimental comparisons of problem gamblers and non-problem gamblers across a range of attentional paradigms. A comparison of effect sizes was conducted across studies comparing problem to non-problem gamblers within and between attention paradigms. Twenty-two studies were reviewed systematically across ten experimental paradigms. Attentional bias was demonstrated in 16 of the 22 studies, with attentional bias effects varying across paradigms. Quality assessment revealed two main limitations across studies: lack of a priori power analysis, and failure to control for gambling frequency as a possible confounding variable. Findings support the role of attentional bias as a potential maintaining factor in problem gambling behaviour, in line with evidence for substance addiction. Recommendations for future studies are outlined alongside a discussion of clinical implications. [ABSTRACT FROM AUTHOR]

Background: Vestibular dysfunction is closely associated with the pathophysiology of Parkinson's disease (PD) accompanied by freezing of gait (FOG); however, evidence supporting this clinical association is lacking. Vestibular-evoked myogenic potentials (VEMPs) have been widely acknowledged as a crucial electrophysiological parameter in the clinical evaluation of vestibular function. Objective: The present study investigated the possible correlation of FOG occurrence with VEMP observations in patients diagnosed with PD. Methods: Altogether, 95 idiopathic PD patients were recruited into the present cross-sectional study. All patients underwent motor and non-motor assessments using serial scales. In addition, the electrophysiological vestibular evaluation was conducted, which included cervical (cVEMP) and ocular VEMP (oVEMP) assessments. Furthermore, the correlations of bilateral c/oVEMP absence with clinical phenotypes, especially FOG, among the PD patients were analyzed. Results: Among the 95 patients with PD, 44 (46.3%) had bilateral oVEMP absence and 23 (24.2%) had bilateral cVEMP absence, respectively. The proportions of patients with bilateral oVEMP absence (77.8% vs 30.9%, p = 0.004) and bilateral cVEMP absence (44.4% vs 19.5%, p = 0.035) were higher in the patient group exhibiting FOG than in the group without FOG. Following the adjustment of confounding variables, bilateral oVEMP absence (OR = 8.544, p = 0.007), rather than bilateral cVEMP absence, was shown to independently predict FOG occurrence in patients with PD. Conclusion: The close correlation between bilateral oVEMP absence and FOG in PD patients sheds new light on the possible role of central vestibular/upper brainstem dysfunction in FOG development in patients with PD. [ABSTRACT FROM AUTHOR]

Real-world datasets inevitably contain biases that arise from different sources or conditions during data collection. Consequently, such inconsistency itself acts as a confounding factor that disturbs the cluster analysis. Existing methods eliminate the biases by projecting data onto the orthogonal complement of the subspace expanded by the confounding factor before clustering. Therein, the interested clustering factor and the confounding factor are coarsely considered in the raw feature space, where the correlation between the data and the confounding factor is ideally assumed to be linear for convenient solutions. These approaches are thus limited in scope as the data in real applications is usually complex and non-linearly correlated with the confounding factor. This paper presents a new clustering framework named Sanitized Clustering Against confounding Bias, which removes the confounding factor in the semantic latent space of complex data through a non-linear dependence measure. To be specific, we eliminate the bias information in the latent space by minimizing the mutual information between the confounding factor and the latent representation delivered by variational auto-encoder. Meanwhile, a clustering module is introduced to cluster over the purified latent representations. Extensive experiments on complex datasets demonstrate that our SCAB achieves a significant gain in clustering performance by removing the confounding bias. [ABSTRACT FROM AUTHOR]

In the last two decades, significant research efforts have been dedicated to addressing the issue of spatial confounding in linear regression models. Confounding occurs when the relationship between the covariate and the response variable is influenced by an unmeasured confounder associated with both. This results in biased estimators for the regression coefficients reduced efficiency, and misleading interpretations. This article aims to understand how confounding relates to the parameters of the data generating process. The sampling properties of the regression coefficient estimator are derived as ratios of dependent quadratic forms in Gaussian random variables: this allows us to obtain exact expressions for the marginal bias and variance of the estimator, that were not obtained in previous studies. Moreover, we provide an approximate measure of the marginal bias that gives insights of the main determinants of bias. Applications in the framework of geostatistical and areal data modeling are presented. Particular attention is devoted to the difference between smoothness and variability of random vectors involved in the data generating process. Results indicate that marginal covariance between the covariate and the confounder, along with marginal variability of the covariate, play the most relevant role in determining the magnitude of confounding, as measured by the bias. [ABSTRACT FROM AUTHOR]

Epidemiological researchers often examine associations between risk factors and health outcomes in non-experimental designs. Observed associations may be causal or confounded by unmeasured factors. Sibling and co-twin control studies account for familial confounding by comparing exposure levels among siblings (or twins). If the exposure-outcome association is causal, the siblings should also differ regarding the outcome. However, such studies may sometimes introduce more bias than they alleviate. Measurement error in the exposure may bias results and lead to erroneous conclusions that truly causal exposure-outcome associations are confounded by familial factors. The current study used Monte Carlo simulations to examine bias due to measurement error in sibling control models when the observed exposure-outcome association is truly causal. The results showed that decreasing exposure reliability and increasing sibling-correlations in the exposure led to deflated exposure-outcome associations and inflated associations between the family mean of the exposure and the outcome. The risk of falsely concluding that causal associations were confounded was high in many situations. For example, when exposure reliability was 0.7 and the observed sibling-correlation was r = 0.4, about 30–90% of the samples (n = 2,000) provided results supporting a false conclusion of confounding, depending on how p-values were interpreted as evidence for a family effect on the outcome. The current results have practical importance for epidemiological researchers conducting or reviewing sibling and co-twin control studies and may improve our understanding of observed associations between risk factors and health outcomes. We have developed an app (SibSim) providing simulations of many situations not presented in this paper. [ABSTRACT FROM AUTHOR]

Background: The relationship between adiposity indicators and thyroid cancer (TC) risk has garnered increasing attention due to the rising prevalence of obesity and its potential impact on cancer incidence. We conducted a comprehensive meta-analysis to investigate this association across various effect measures. Method: Until July 2022, a comprehensive search of databases was conducted to identify cohort studies that assessed the association between adiposity and the development of TC. Meta-analysis was performed using random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Begg's tests. Results: A systematic literature search identified 27 eligible studies reporting odds ratios (OR), relative risks (RR), or hazard ratios (HR) as effect measures. Pooling the studies irrespective of the effect measure, a significant positive association between adiposity indicators and TC risk was observed, yielding an effect estimate of 1.16 (95% CI 1.12–1.21). The combined effect estimate for OR/RR studies was 1.10 (95%CI 1.04–1.17), while HR studies yielded an effect estimate of 1.20 (95%CI 1.13–1.26). Subgroup analyses revealed associations across different age groups, obesity indices, and regions, with some variations based on effect measure. Meta-regression identified follow-up duration as a confounding factor only in HR studies. Conclusion: The synthesis of 27 studies with diverse designs and populations underscores a robust positive association between adiposity and TC risk, providing compelling evidence for the potential role of increased adiposity in TC development. [ABSTRACT FROM AUTHOR]

Background: The association between osteoporosis and cardiovascular disease, two major health problems, has been reported in some studies. In this study was aimed to investigate the relationship between osteoporosis and the CVD risk score based on Framingham and American College of Cardiology and the American Heart Association (ACC/AHA) prediction models in the population over 60 years old. Methods: A cross-sectional analysis was conducted on data from 2389 men and women participating in the Bushehr Elderly Health (BEH) program. Osteoporosis was defended as T-score ≤ − 2.5 at any site (total hip, femoral neck and lumbar spine (L1-L4). Based on Framingham and ACC/AHA risk scores, participants were categorized as non-high risk (< 20%) or high-risk (≥ 20%). Logistic regression model, was applied to investigate the relationship between osteoporosis and cardiovascular disease risk scores. All comparisons were stratified by sex. Results: Considering the cut point of ≥ 20% for CVD risk, 36.7% of women and 66.2% of men were categorized as having high risk of CVD in ACC/AHA model. These values in women and men based on the Framingham model were 30% and 35.7%, respectively. In general, there was a negative significant correlation between BMD in the femoral neck, total hip and TBS except for the spine with the CVD risk score in both models. After adjusting for confounding variables, a significant positive association was observed between osteoporosis only at femoral neck with CVD risk score ≥ 20% based on ACC/AHA in both genders. Conclusion: The ACC/AHA model is effective in identifying the CVD risk difference between individuals with and without osteoporosis. [ABSTRACT FROM AUTHOR]

Background: We assessed the possible effect of usual dairy consumption on pre-diabetes (Pre-DM) remission or progression to type 2 diabetes (T2D). Methods: Pre-DM adults (n = 334, mean age of 49.4 years, and 51.5% men) were assessed for dairy intakes (2006–2008) and followed up to 9 years for incidence of T2D or normal glycemia (NG). All biochemical measurements were done at baseline and all subsequent examinations with 3-y follow-up intervals. Multinomial regression models with adjustment of confounding variables were used to estimate odds ratios (OR) and 95% confidence intervals (CIs) of incident T2D and NG for each serving/d dairy consumption. Results: The odds of NG was significantly elevated by 69% (OR = 1.69, 95% CI = 1.00–2.86, P = 0.05) per 200 g/d increased high-fat dairy intake, while the amount of total dairy or low-fat dairy was not related to the outcomes. Higher intakes of yogurt were more likely to be associated with an increased odds of NG (OR = 1.82, 95% CI = 1.20–2.74, P = 0.01). Usual intakes of milk, cheese, or cream-butter were not associated to Pre-DM remission or progression to T2D. Conclusion: Regular dairy consumption may increase the chance of Pre-DM regression to NG. [ABSTRACT FROM AUTHOR]

Purpose: The study aimed to examine the consistency of vertebral bone quality (VBQ) scores for assessing osteoporosis across different etiologies and explore the predictive value of various VBQ scores for fragility vertebral fractures. Methods: Patients with fragility fractures were matched by age and sex to patients with lumbar degeneration. VBQ scores were calculated in T1- and T2-weighted magnetic resonance imaging. Differential analysis of bone quality was performed based on etiology. Results: A total of 96 inpatients were retrospectively enrolled. VBQT1 scores were only sensitive to osteoporotic bone in degenerative group (p < 0.01), failing to identify osteoporosis in fractured group (p > 0.05). For the degenerative group, the area under the curve (AUC) using the VBQT1 scores to differentiate osteoporosis was 0.72. After controlling the confounding variables, only VBQT2 scores were significantly higher in fractured group than degenerative group, with a greater AUC of 0.82 predicting fragility fractures. VBQT1 scores moderately correlated with femoral neck T-scores in degenerative group (r = −0.45, p < 0.01) but not in fractured group (r = −0.24, p > 0.05). VBQT2 scores were not associated with femoral neck T-scores (p > 0.05). Conclusion: This study is the first to evaluate the effectiveness of VBQs scores in assessing osteoporosis post-fracture. Only non-fractured patients' bone quality is fully susceptible to VBQT1 scores. While VBQT1 scores may not correlate with fragility fractures, VBQT2 scores present a viable alternative. [ABSTRACT FROM AUTHOR]

Treatment effect estimation is a fundamental problem in various domains for effective decision making. While many studies assume that observational data include all the confounding variables, we cannot practically guarantee that observational data include such confounding variables, and there might be confounding variables that are not included in observational data, referred to as hidden confounding variables. Recently, variational autencoder (VAE) based methods have been successfully applied to treatment effect estimation problem. However, although they can recover a large class of latent variable models, they do not give the correct treatment effect, even when they achieve an optimal solution due to the nature of VAE loss function. We propose an efficient VAE-based method that employs information theory to estimate treatment effect and combines it with a matching technique. To the best of our knowledge, this is the first work that gives the correct treatment effect given an optimal solution using VAE-based methods. Experiments on a semi-real dataset and synthetic dataset demonstrate that the proposed method mitigates VAE problems and observational bias effectively, even under hidden confounding variables, and outperforms strong baseline methods. [ABSTRACT FROM AUTHOR]

Body mass index (BMI) is a crucial health indicator for obesity. With the progression of socio-economic status and alterations in lifestyle, an increasing number of global populations are at risk of obesity. Given the complexity and severity of neurological diseases, early identification of risk factors is vital for the diagnosis and prognosis of such diseases. In this study, we employed Mendelian randomization (MR) analysis utilizing the most comprehensive genome-wide association study (GWAS) data to date. We selected single nucleotide polymorphisms (SNPs) that are unaffected by confounding factors and reverse causality as instrumental variables. These variables were used to evaluate the genetic and causal relationships between Body Mass Index (BMI) and various neurological diseases, including Parkinson's Disease (PD), Alzheimer's Disease (AD), Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis (MS), Ischemic Stroke (IS), and Epilepsy (EP). The Inverse Variance Weighted (IVW) analysis indicated that there was no significant causal relationship between Body Mass Index (BMI) indicators and PD (P-value = 0.511), AD (P-value = 0.076), ALS (P-value = 0.641), EP (P-value = 0.380). However, a causal relationship was found between BMI indicators and MS (P-value = 0.035), and IS (P-value = 0.000), with the BMI index positively correlated with the risk of both diseases. The Cochran's Q test for MR-IVW showed no heterogeneity in the MR analysis results between the BMI index and the neurological diseases (P > 0.05). The Egger intercept test for pleiotropy revealed no horizontal pleiotropy detected in any of the neurological diseases studied (P > 0.05). It was found that there was no causal relationship between BMI and PD, AD, ALS, EP, and a genetic causal association with MS, and IS. Meanwhile, the increase in BMI can lead to a higher risk of MS and IS, which reveals the critical role of obesity as a risk factor for specific neurological diseases in the pathogenesis of the diseases. [ABSTRACT FROM AUTHOR]

Hypertension and osteoporosis are common geriatric diseases, sharing similar risk factors. This study aims to investigate this association and explore relatively mixed variables. Our study included 12,787 eligible participants from the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Included participants had valid data on hypertension and osteoporosis, without tumors, liver diseases, gout or thyroid diseases. We explored the association between hypertension and osteoporosis by logistic regression and examined blood pressure and BMD/BMC by linear and non-linear regression. Moreover, we used machine learning models to predict the importance of various factors in the occurrence of osteoporosis and evaluated causality by mendelian randomization. Our study found that osteoporosis is significantly associated with hypertension [OR 2.072 (95% CI 2.067–2.077), p < 0.001]. After adjusting for co-variances, the association remained significant [OR 1.223 (95% CI 1.220–1.227), p < 0.001]. Our study showed that osteoporosis is positively associated with hypertension in the US population. A variety of factors influence this relationship. Specific regulatory mechanisms and confounding factors need to be further investigated. [ABSTRACT FROM AUTHOR]

Although the risk of autism spectrum disorder (ASD) has been reported to be associated with interpregnancy intervals (IPIs), their association remains debatable due to inconsistent findings in existing studies. Therefore, the present study aimed to explore their association. PubMed, Embase, Web of Science, and the Cochrane Library were systematically retrieved up to May 25, 2022. An updated search was performed on May 25, 2023, to encompass recent studies. The quality of the included studies was assessed using the Newcastle–Ottawa Scale (NOS). Our primary outcome measures were expressed as adjusted odds ratios (ORs). Given various control measures for IPI and diverse IPI thresholds in the included studies, a Bayesian network meta-analysis was performed. Eight studies were included, involving 24,865 children with ASD and 2,890,289 children without ASD. Compared to an IPI of 24 to 35 months, various IPIs were significantly associated with a higher risk of ASD (IPIs < 6 months: OR = 1.63, 95% CI 1.53–1.74, n = 5; IPIs of 6–11 months: OR = 1.50, 95% CI 1.42–1.59, n = 4; IPIs of 12–23 months: OR = 1.19, 95% CI 1.12–1.23, n = 10; IPIs of 36–59 months: OR = 0.96, 95% CI 0.94–0.99, n = 2; IPIs of 60–119 months: OR = 1.15, 95% CI 1.10–1.20, n = 4; IPIs > 120 months: OR = 1.57, 95% CI 1.43–1.72, n = 4). After adjusting confounding variables, our analysis delineated a U-shaped restricted cubic spline curve, underscoring that both substantially short (< 24 months) and excessively long IPIs (> 72 months) are significantly correlated with an increased risk of ASD. Conclusion: Our analysis indicates that both shorter and longer IPIs might predispose children to a higher risk of ASD. Optimal childbearing health and neurodevelopmental outcomes appear to be associated with a moderate IPI, specifically between 36 and 60 months. What is Known: • An association between autism spectrum disorder (ASD) and interpregnancy intervals (IPIs) has been speculated in some reports. • This association remains debatable due to inconsistent findings in available studies. What is New: • Our study delineated a U-shaped restricted cubic spline curve, suggesting that both shorter and longer IPIs predispose children to a higher risk of ASD. • Optimal childbearing health and neurodevelopmental outcomes appear to be associated with a moderate IPI, specifically between 36 and 60 months. [ABSTRACT FROM AUTHOR]

Objectives: To examine the relationships between gestational diabetes mellitus (GDM) treatment and neonatal anthropometry. Methods: Covariate-adjusted multivariable linear regression analyses were used in 9907 offspring of the Born in Bradford cohort. GDM treatment type (lifestyle changes advice only, lifestyle changes and insulin or lifestyle changes and metformin) was the exposure, offspring born to mothers without GDM the control, and birth weight, head, mid-arm and abdominal circumference, and subscapular and triceps skinfold thickness the outcomes. Results: Lower birth weight in offspring exposed to insulin (− 117.2 g (95% CI − 173.8, − 60.7)) and metformin (− 200.3 g (− 328.5, − 72.1)) compared to offspring not exposed to GDM was partly attributed to lower gestational age at birth and greater proportion of Pakistani mothers in the treatment groups. Higher subscapular skinfolds in offspring exposed to treatment compared to those not exposed to GDM was partly attributed to higher maternal glucose concentrations at diagnosis. In fully adjusted analyses, offspring exposed to GDM treatment had lower weight, smaller abdominal circumference and skinfolds at birth than those not exposed to GDM. Metformin exposure was associated with smaller offspring mid-arm circumference (− 0.3 cm (− 0.6, − 0.07)) than insulin exposure in fully adjusted models with no other differences found. Conclusions for Practice: Offspring exposed to GDM treatment were lighter and smaller at birth than those not exposed to GDM. Metformin-exposed offspring had largely comparable birth anthropometric characteristics to those exposed to insulin. Significance: What is already known on this subject? Offspring exposed to untreated GDM are more likely to have higher weight and adiposity at birth in comparison to offspring not exposed to GDM. What this study adds? Offspring exposed to GDM treatment of any type (lifestyle changes advice, insulin or metformin) were lighter and less adipose than offspring not exposed to GDM. Metformin and insulin-exposed offspring had comparable anthropometric outcomes. [ABSTRACT FROM AUTHOR]

Background: The cause of early septic failure after two-stage exchange revision total knee arthroplasty (TKA) for chronic periprosthetic joint infection (PJI) and the factors affecting it are not well known. The purpose of this study was to determine the surgical outcomes and the risk factors for early septic failure after two-stage revision TKA for chronic PJI. Methods: We identified a total of 246 adult patients who met the Musculoskeletal Infection Society (MSIS) diagnostic criteria for chronic PJI at two academic tertiary hospitals from March 2012 to December 2018. Finally, 151 patients who consecutively received two-stage exchange revision TKA for chronic PJI and who had a minimum 3-year follow-up were enrolled and retrospectively reviewed. Successful surgical treatment was evaluated for two-stage revision TKA and risk factors for early septic failure were identified. Results: Early septic failures occurred within 3 years after reimplantation in 48 patients (31.8%). After accounting for potentially confounding variables, we found that male patient [odds ratio (OR): 2.753, 95% confidence interval (CI) 1.099–6.893, p = 0.031], fungus or mycobacterial infection (OR: 5.224, 95% CI 1.481–18.433, p = 0.01), and positive culture at reimplantation (OR: 4.407, 95% CI 1.255–15.480, p = 0.021) were independently associated with early septic failure after two-stage exchange revision TKA. Conclusion: Male patients, fungus or mycobacterial infection, and positive culture at reimplantation were independently associated with an increased risk of early septic failure after two-stage exchange revision TKA despite normal C-reactive protein values prior to reimplantation. Further prospective and high-quality studies are needed to determine the risk factors of two-stage exchange revision TKA for chronic PJI. Level of evidence: level IV; retrospective comparison; treatment study. [ABSTRACT FROM AUTHOR]

Gene expression datasets offer a wide range of information about various biological processes. However, it is difficult to find the important genes among the high-dimensional biological data due to the existence of redundant and unimportant ones. Numerous Feature Selection (FS) techniques have been created to get beyond this obstacle. Improving the efficacy and precision of FS methodologies is crucial in order to identify significant genes amongst complicated complex biological data. In this work, we present a novel approach to gene selection called the Sine Cosine and Cuckoo Search Algorithm (SCACSA). This hybrid method is designed to work with well-known machine learning classifiers Support Vector Machine (SVM). Using a dataset on breast cancer, the hybrid gene selection algorithm's performance is carefully assessed and compared to other feature selection methods. To improve the quality of the feature set, we use minimum Redundancy Maximum Relevance (mRMR) as a filtering strategy in the first step. The hybrid SCACSA method is then used to enhance and optimize the gene selection procedure. Lastly, we classify the dataset according to the chosen genes by using the SVM classifier. Given the pivotal role gene selection plays in unraveling complex biological datasets, SCACSA stands out as an invaluable tool for the classification of cancer datasets. The findings help medical practitioners make well-informed decisions about cancer diagnosis and provide them with a valuable tool for navigating the complex world of gene expression data. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study was to assess whether PTSD was associated with preoperative and/or postoperative joint-specific function and health-related quality of life (HRQoL) in patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA) and whether there were associated preoperative factors. Methods: A retrospective study was conducted at a single centre using an established arthroplasty database over a 2-year period. Patients undergoing THA and TKA completed pre and 1-year postoperative Oxford hip/knee scores and EuroQoL questionnaire (EQ-5D) to assess joint specific function and HRQoL. Postoperatively, patients completed the self-reported PTSD Checklist for DSM-5 (PCL-5) questionnaire where a score of 31 or greater was used to determine a provisional diagnosis of PTSD. Results: There were 1244 THA and 1356 TKA patients, of which 42 (3.4%) and 54 (4.0%) had a PCL-5 score of ≥ 31, respectively (PTSD groups). Younger age was associated (p < 0.001) with PTSD for both THA (mean difference (MD) 9.9, 95%CI 6.7–13.0) and TKA (MD 4.6, 95%CI 2.2–6.9), which remained significant when adjusting for confounding variables (THA: p < 0.001; TKA: p = 0.020). The preoperative Oxford (THA:MD 4.9, p < 0.001; TKA:MD 5.7, p < 0.001) and EQ-5D scores (THA:MD 0.378, p < 0.001; TKA:MD 0.276, p < 0.001) were significantly worse in the PTSD groups. Age (AUC 73.8%, p < 0.001) and EQ-5D (AUC 72.9%, p < 0.001) were independent factors that were predictive of PTSD in patients undergoing THA and TKA, respectively. When adjusting for confounding variables, PTSD was clinically and statistically significantly (p < 0.001) associated with a lower improvement in the Oxford (THA:MD 9.3; TKA:MD 10.0) and EQ-5D (THA:MD 0.375; TKA:MD 0.293) scores. Conclusions: One in 25 patients met a provisional PTSD diagnosis; they were younger and had worse preoperative and improvement in postoperative joint specific function and HRQoL. Age and EQ-5D could be used to identify patients at risk. [ABSTRACT FROM AUTHOR]

Environmental issues need public support to be solved. But the theoretical model that supports providing the public scientific information to enhance their support for scientific issues, the deficit model, is confirmed in some studies but disapproved in others. Hypothesizing that the difference lies partially in the topic of issues used in those studies, this study tests the deficit model (and the expanded linkage from knowledge to attitude to behavioral intention in the hierarchy of response model) with the complex issue of climate change (N = 379), which is entangled with political and ideological confounders, and the new water–energy–food nexus (N = 524), which is involved with few confounders. The survey on climate change, a hotly debated issue deeply entangled with many social, economic, and political factors, revealed a substantial positive correlation between attitude and behavioral intention and no correlation between knowledge and attitude or behavioral intention, producing no evidence to support the deficit model and partial evidence to support the hierarchy of response model. The partial correlation analysis of this data, controlling age, gender, and ideology, also identified a negative relationship between knowledge and behavioral intention, further calling researchers' attention to the influence of the complexness of the scientific event on public information processing. The survey on the WEF nexus, a new scientific approach that systematically governs water, energy, and food as a nexus, showed positive correlations of knowledge with attitude and of attitude with behavioral intention, confirming the deficit model as well as the traditional response hierarchy model. The study suggests that when confounding variables do not intervene, the deficit model and the traditional response model hold to guide science communication projects and garner public support for science and the environment. [ABSTRACT FROM AUTHOR]

Recent studies suggest that eco-anxiety motivates pro-environmental behaviors. However, these studies are all cross-sectional in nature, and they frequently neglect possible important confounding variables (e.g., ecological identity). The present study was designed to deepen our understanding of the effect of eco-anxiety on pro-environmental behaviors by addressing the abovementioned limitations of recent research. The present study consisted of a 2-wave longitudinal study in which eco-anxiety and pro-environmental behaviors as well as possible confounding variables (i.e., ecological identity and personality) were assessed among French adults. As hypothesized, individuals' experience of eco-anxiety at t1 was positively and significantly related to individuals' engagement in pro-environmental behaviors at t2. This significant positive relationship was observed even when ecological identity, the Big Five domains of personality, and pro-environmental behaviors at t1 were controlled for. It thus appeared that compared with individuals with low levels of eco-anxiety at a given time, individuals with higher levels of eco-anxiety at a given time displayed a greater likelihood of experiencing increases in their subsequent engagement in pro-environmental behaviors. The results are discussed in light of current knowledge about the function of anxiety. [ABSTRACT FROM AUTHOR]

Introduction: Overuse of medication to treat migraine attacks can lead to development of a new type of headache or significant worsening of pre-existing headache, known as medication overuse headache. However, data concerning the burden of medication overuse (MO) in migraine are limited. This study aimed to assess the humanistic burden of MO in individuals with migraine from five European countries. Methods: Data are from the 2020 National Health and Wellness Survey—a cross-sectional, population-based survey conducted in France, Germany, Italy, Spain, and the UK. Data were included from adults (≥ 18 years) with a self-reported diagnosis of migraine and at least one migraine attack and one headache in the past 30 days. MO was defined as (i) use of simple analgesics/over-the-counter medications on ≥ 15 days/month; or (ii) use of migraine medication, including combination analgesics, on ≥ 10 days/month. Humanistic burden of MO was assessed using the 12-Item Short-Form Health Survey (SF-12v2), EuroQol 5-Dimensions 5-Levels (EQ-5D), Short-Form 6-Dimensions (SF-6D), and Migraine Disability Assessment (MIDAS). The association of MO with humanistic burden was evaluated using generalized linear models adjusted for potential confounders in the full migraine population and in subgroups defined by headache frequency (monthly headache days [MHDs] 1–3, 4–7, 8–14, or ≥ 15). Results: Among individuals with migraine, humanistic burden (SF-12v2, SF-6D, EQ-5D, and MIDAS) was higher in individuals who reported MO (n = 431) versus no MO (n = 3554), even after adjustment for confounding variables (p < 0.001 for all measures). MIDAS and EQ-5D scores were higher in individuals with MO than without, at all levels of headache frequency. For SF-12v2 and SF-6D, differences between groups with/without MO were seen only at lower levels of headache frequency (MHD 1–3 and 4–7). Conclusion: Among people with migraine, those who report MO face a greater humanistic burden than those without MO, irrespective of headache frequency. [ABSTRACT FROM AUTHOR]

Background: Missing data in costs and/or health outcomes and in confounding variables can create bias in the inference of health economics and outcomes research studies, which in turn can lead to inappropriate policies. Most of the literature focuses on handling missing data in randomized controlled trials, which are not necessarily always the data used in health economics and outcomes research. Objectives: We aimed to provide an overview on missing data issues and how to address incomplete data and report the findings of a systematic literature review of methods used to deal with missing data in health economics and outcomes research studies that focused on cost, utility, and patient-reported outcomes. Methods: A systematic search of papers published in English language until the end of the year 2020 was carried out in PubMed. Studies using statistical methods to handle missing data for analyses of cost, utility, or patient-reported outcome data were included, as were reviews and guidance papers on handling missing data for those outcomes. The data extraction was conducted with a focus on the context of the study, the type of missing data, and the methods used to tackle missing data. Results: From 1433 identified records, 40 papers were included. Thirteen studies were economic evaluations. Thirty studies used multiple imputation with 17 studies using multiple imputation by chained equation, while 15 studies used a complete-case analysis. Seventeen studies addressed missing cost data and 23 studies dealt with missing outcome data. Eleven studies reported a single method while 20 studies used multiple methods to address missing data. Conclusions: Several health economics and outcomes research studies did not offer a justification of their approach of handling missing data and some used only a single method without a sensitivity analysis. This systematic literature review highlights the importance of considering the missingness mechanism and including sensitivity analyses when planning, analyzing, and reporting health economics and outcomes research studies. [ABSTRACT FROM AUTHOR]

Calcific aortic valve stenosis (CAVS) is associated with an increased risk of atrial fibrillation (AF) in observational studies, but whether these associations are causal has not been determined. This study aimed to explore the potential causal relationship between CAVS and AF via Mendelian randomization (MR). Genetic variants from the genome-wide association study (GWAS) summary data of the European population for CAVS were used to investigate the association with AF. The inverse variance weighted (IVW) approach was used to obtain the primary causal inference, and several sensitivity analysis approaches, such as the MR‒Egger and weighted median (WM), were performed to assess the robustness of the results. A total of nineteen valid and independent genetic SNPs associated with CAVS were obtained from the GWAS database. Genetically predicted CAVS (OR: 1.105; 95% CI: 1.072–1.139; p = 8.60E−11) was associated with an increased risk of AF. Similar results were discovered in the sensitivity analyses by using MR Egger and weighted median approaches. An MR design was used to reduce confounding variables and the potential for reverse causality bias. The results provide genetic evidence that CAVS considerably increased the risk of AF. [ABSTRACT FROM AUTHOR]

This study aimed at investigating the association of acrylamide consumption with the incidence of type 2 diabetes (T2D) in adults. The 6022 subjects of the Tehran lipid and glucose study participants were selected. The acrylamide content of food items were summed and computed cumulatively across follow up surveys. Multivariable Cox proportional hazard regression analyses were performed to estimate the hazards ratio (HR) and 95% confidence interval (CI) of incident T2D. This study was done on men and women, respectively aged 41.5 ± 14.1 and 39.2 ± 13.0 years. The mean ± SD of dietary acrylamide intake was 57.0 ± 46.8 µg/day. Acrylamide intake was not associated with the incidence of T2D after adjusting for confounding variables. In women, a higher acrylamide intake was positively associated with T2D [HR (CI) for Q4: 1.13 (1.01–1.27), P trend: 0.03] after adjusting for confounding factors. Our results demonstrated that dietary intake of acrylamide was associated with an increased risk of T2D in women. [ABSTRACT FROM AUTHOR]

This study aimed to examine the association of hemoglobin concentration with a 90-day mortality of young adult patients with ICH in a large retrospective cohort. A retrospective observational study was conducted between December 2013 and June 2019 in two tertiary academic medical centers in China. We defined patients with hemoglobin concentration < 80 g/L as severe anemia and 80–120/130 g/L as mild to moderate anemia. We also defined patients with hemoglobin concentration > 160 g/L as high hemoglobin. Associations of hemoglobin and outcomes were evaluated in multivariable regression analyses. The primary outcome was mortality at 90 days. We identified 4098 patients with ICH who met the inclusion criteria. After adjusting primary confounding variables, the 90-day mortality rate was significantly higher in young patients with severe anemia (OR, 39.65; 95% CI 15.42–101.97), moderate anemia (OR, 2.49; 95% CI 1.24–5.00), mild anemia (OR, 1.89; 95% CI 1.20–2.98), and high hemoglobin (OR, 2.03; 95% CI 1.26–3.26) group than in young patients of the normal group. The younger age was associated with a higher risk of death from anemia in patients with ICH (P for interaction = 0.01). In young adult patients with ICH, hemoglobin concentration was associated with 90-day mortality, and even mild to moderate anemia correlated with higher mortality. We also found that in ICH patients with anemia, younger age was associated with higher risk. [ABSTRACT FROM AUTHOR]

Previous studies on self-rated health and mortality have usually not differentiated between physical and mental health, respectively have not considered physical diseases. This study aims to determine self-rated physical and mental health from middle to old age, examine associations with mortality adjusted for objective risk factors and assess effect modification by gender. In a large population-based sample (N = 14,993 at baseline), self-rated physical and mental health were rated separately by a single-item. Associations to mortality were modelled by Cox regressions, adjusting for potential confounding variables. Most participants rated their physical (79.4%), resp. mental health (82.3%) as good. Poor self-rated physical health was lowest in the youngest group (19.6%, age 35–44), and highest in midlife (29.1%, age 55–64). Poor self-rated mental health was lowest among the oldest (18.5%), and highest from 45 to 54 years (29.3%). Poor self-rated physical, but not mental health was predictive of mortality when adjusting for objective risk factors. Male gender and poor self-rated physical health interacted (RERI 0.43 95%-CI 0.02–0.85). Self-rated physical health was best in the youngest and worst in the midlife group, this pattern was reversed regarding self-rated mental health. Poor self-rated physical, but not mental health was predictive of mortality, adjusting for objective risk factors. It was more strongly predictive of mortality in men than in women. Poor subjective physical health ratings, should be taken seriously as an unfavorable prognostic sign, particularly in men. [ABSTRACT FROM AUTHOR]

Purpose: This systematic review of systematic reviews aims to provide the first global picture of the prevalence and correlates of perinatal depression, and to explore the commonalities and discrepancies of the literature. Methods: Seven databases were searched from inception until April 2022. Full-text screening and data extraction were performed independently by two researchers and the AMSTAR tool was used to assess the methodological quality. Results: 128 systematic reviews were included in the analysis. Mean overall prevalence of perinatal depression, antenatal depression and postnatal depression was 26.3%, 28.5% and 27.6%, respectively. Mean prevalence was significantly higher (27.4%; SD = 12.6) in studies using self-reported measures compared with structured interviews (17.0%, SD = 4.5; d = 1.0) and among potentially vulnerable populations (32.5%; SD = 16.7, e.g. HIV-infected African women) compared to the general population (24.5%; SD = 8.1; d = 0.6). Personal history of mental illness, experiencing stressful life events, lack of social support, lifetime history of abuse, marital conflicts, maternity blues, child care stress, chronic physical health conditions, preeclampsia, gestational diabetes mellitus, being exposed to second-hand smoke and sleep disturbance were among the major correlates of perinatal depression. Conclusion: Although the included systematic reviews were all of medium–high quality, improvements in the quality of primary research in this area should be encouraged. The standardisation of perinatal depression assessment, diagnosis and measurement, the implementation of longitudinal designs in studies, inclusions of samples that better represent the population and better control of potentially confounding variables are encouraged. [ABSTRACT FROM AUTHOR]

Data on the association between uric acid (UA) levels and clinical outcomes, such as readmission and mortality, in patients with heart failure are scarce. This study explores whether UA exhibits an independent association with the composite endpoint (clinical outcome during 6 months after discharge, including mortality and 6-month readmission) in patients with chronic heart failure while controlling for other covariates. This study was an observational retrospective study. A cohort of 1943 consecutive patients diagnosed with chronic heart failure, who were admitted between December 2016 and June 2019, was included in the study. Data were sourced from PhysioNet. The independent variable analyzed was the UA level, and the dependent variable was a composite endpoint comprising mortality and 6-month readmission. The study had 1943 participants, of which 91.04% were aged more than 60 years and 58.05% were female. The fully-adjusted model yielded a positive correlation between UA levels (per 10 µmol/L) and the composite endpoint as well as readmission, following adjustment for confounding variables (HR = 1.01, 95% CI 1.00–1.01). Notably, a non-linear relationship was observed between UA levels and the composite endpoint, particularly readmission, with a J-shaped correlation observed between UA levels and both the composite endpoint and readmission. Overall, we found that the serum UA levels at admission were independently and positively associated with the risk of the composite endpoint (clinical outcomes during 6 months after discharge), especially readmission after adjusting other covariates. A J-shaped relationship was observed between UA levels and the composite endpoint and readmission. [ABSTRACT FROM AUTHOR]

Purpose: We sought to compare the effectiveness of a novel antibiotic irrigation device to the standard O-ring wound retractor in preventing surgical site infections (SSIs) following colorectal resections. Methods: This single-arm clinical trial included patients undergoing colorectal resections utilizing the novel device. A retrospective cohort of patients undergoing the same procedures with the O-ring retractor was selected as the control group. The primary outcome assessed was SSI. Secondary outcomes assessed were overall complications, hospital length of stay (LOS), and 30-day readmission. A univariable and multivariable logistic regression model was built to evaluate the association between SSI as the outcome variable and the use of the novel device as the main independent variable. The model was adjusted for any confounding variables. Results: Eighty-six novel device cases and 170 O-ring retractor cases were enrolled. There were no significant differences between the two groups in terms of demographics and preoperative comorbidities. Cases with the novel device had fewer Pfannenstiel incisions (1.2% vs. 14.6%, p < 0.001). There were no other significant differences in intraoperative variables. SSI rates were significantly lower in the novel device group (1.2% vs. 9.1%, p = 0.014). There were no other significant differences in postoperative complications. Multivariable logistic regression with backward elimination showed that the use of the novel device was significantly more effective against SSI by 92.5% compared to the use of the O-ring retractor. Conclusion: The novel device may contribute to lower SSI rates compared to the O-ring retractor following colorectal resection. [ABSTRACT FROM AUTHOR]

Previous studies have already suggested that the deliberate nature of Mind-Wandering (MW) is critical for promoting creative performance. However, the deliberate nature of MW may be mixed up with task-relatedness. Whether the deliberate nature or task-relatedness of MW is responsible for such positive influence remains unclear. The present study tried to address this issue by investigating the influence of deliberate MW (MW-d) and task-related MW (MW-r) on post-incubation creative performance. Our result showed that MW-d is positively correlated with MW-r and spontaneous MW (MW-s) is highly positively correlated with task-unrelated MW (MW-u). Meanwhile, after controlling the possible confounding variables (i.e., the pre-incubation creative performance, the performance during distraction task, and motivation on creative ideation), both MW-d and MW-r predicted participants' AUT performance after incubation. However, the prediction model based on MW-r was stable while the MW-d-based prediction model was not. These findings indicate that the task-relatedness of MW, instead of its deliberate nature, might have a positive influence on subsequent creative performance. [ABSTRACT FROM AUTHOR]

In medicine, confounding variables in a generalized linear model are often adjusted; however, these variables have not yet been exploited in a non-linear deep learning model. Sex plays important role in bone age estimation, and non-linear deep learning model reported their performances comparable to human experts. Therefore, we investigate the properties of using confounding variables in a non-linear deep learning model for bone age estimation in pediatric hand X-rays. The RSNA Pediatric Bone Age Challenge (2017) dataset is used to train deep learning models. The RSNA test dataset is used for internal validation, and 227 pediatric hand X-ray images with bone age, chronological age, and sex information from Asan Medical Center (AMC) for external validation. U-Net based autoencoder, U-Net multi-task learning (MTL), and auxiliary-accelerated MTL (AA-MTL) models are chosen. Bone age estimations adjusted by input, output prediction, and without adjusting the confounding variables are compared. Additionally, ablation studies for model size, auxiliary task hierarchy, and multiple tasks are conducted. Correlation and Bland–Altman plots between ground truth and model-predicted bone ages are evaluated. Averaged saliency maps based on image registration are superimposed on representative images according to puberty stage. In the RSNA test dataset, adjusting by input shows the best performances regardless of model size, with mean average errors (MAEs) of 5.740, 5.478, and 5.434 months for the U-Net backbone, U-Net MTL, and AA-MTL models, respectively. However, in the AMC dataset, the AA-MTL model that adjusts the confounding variable by prediction shows the best performance with an MAE of 8.190 months, whereas the other models show the best performances by adjusting the confounding variables by input. Ablation studies of task hierarchy reveal no significant differences in the results of the RSNA dataset. However, predicting the confounding variable in the second encoder layer and estimating bone age in the bottleneck layer shows the best performance in the AMC dataset. Ablations studies of multiple tasks reveal that leveraging confounding variables plays an important role regardless of multiple tasks. To estimate bone age in pediatric X-rays, the clinical setting and balance between model size, task hierarchy, and confounding adjustment method play important roles in performance and generalizability; therefore, proper adjusting methods of confounding variables to train deep learning-based models are required for improved models. [ABSTRACT FROM AUTHOR]

The identification of territorial clusters where the population suffers from worse health conditions is an important topic in social epidemiology, in order to identify health inequalities in cities and provide health policy interventions. This objective is particularly challenging because of the mechanism of self-selection of individuals into neighborhoods, which causes selection bias. The aim of this paper consists in the identification of neighborhood clusters where elderly people living in Turin, a city in north-western Italy, are exposed to an increased risk of hospitalized fractures. The study is based on administrative data and is a retrospective, observational cohort study. It is composed by a first phase, in which the individual confounding variables are balanced across neighborhoods in order to make them comparable, and a second phase in which the neighborhoods are aggregated into clusters characterized by significantly higher health risk. In the first phase we exploited a balancing technique based on partially ordered sets (poset), called Matching on poset based Average Rank for Multiple Treatments (MARMoT). On the balanced dataset, we used a spatial scan to identify the presence of clusters and we checked whether the risk of fracture is significantly higher in some contiguous areas. The combination of both MARMoT procedure and spatial scan makes it possible to highlight two clusters of neighborhoods in Turin where the risk of incurring hospitalized fractures for elderly people is significantly higher than the mean. These results could have important implications for the implementation of health policies. [ABSTRACT FROM AUTHOR]

Psilocybin and lysergic acid diethylamide (LSD) experiences can range from very positive to highly challenging (e.g., fear, grief, and paranoia). These challenging experiences contribute to hesitancy toward psychedelic-assisted psychotherapy among health care providers and patients. Co-use of 3,4-Methylenedioxy methamphetamine (MDMA) with psilocybin/LSD anecdotally reduces challenging experiences and enhances positive experiences associated with psilocybin/LSD. However, limited research has investigated the acute effects of co-use of MDMA and psilocybin/LSD. In a prospective convenience sample (N = 698) of individuals with plans to use psilocybin/LSD, we examined whether co-use of MDMA with psilocybin/LSD (n = 27) is associated with differences in challenging or positive experiences. Challenging experiences were measured using the Challenging Experiences Questionnaire and positive experiences were measured using the Mystical Experience Questionnaire and single-item measures of self-compassion, compassion, love, and gratitude. Potentially confounding variables were identified and included as covariates. Relative to psilocybin/LSD alone, co-use of psilocybin/LSD with a self-reported low (but not medium–high) dose of MDMA was associated with significantly less intense total challenging experiences, grief, and fear, as well as increased self-compassion, love and gratitude. Co-use of psilocybin/LSD and MDMA was not associated with differences in mystical-type experiences or compassion. Findings suggest co-use of MDMA with psilocybin/LSD may buffer against some aspects of challenging experiences and enhance certain positive experiences. Limitations include use of a convenience sample, small sample size, and non-experimental design. Additional studies (including controlled dose–response studies) that examine the effects and safety of co-administering MDMA with psilocybin/LSD (in healthy controls and clinical samples) are warranted and may assist the development of personalized treatments. [ABSTRACT FROM AUTHOR]

Objective: To evaluate how preoperative anemia severity affects 90-day outcomes of spinal fusion surgery. Methods: A retrospective cohort study was conducted on adult lumbar fusion patients at a tertiary medical center. Patients were classified by World Health Organization anemia severity definitions for comparisons. Multivariate regression models were created to control for confounding variables, for all primary outcomes of transfusion requirements, non-home discharge, readmissions, complications, and length of stay. Results: A total of 2582 patients were included: 2.7% with moderate-severe anemia, 11.0% with mild anemia, and 86.3% without anemia. Moderate-severe patients had the longest hospital stay (5.03 days vs 4.14 and 3.59 days, p < 0.001) and highest risk of transfusion (52.2% vs 13.0% vs 2.69%, p < 0.001), non-home discharge (39.1% vs 27.8% vs 15.4%, p < 0.001), readmission (7.25% vs 5.99% vs 3.36%, p = 0.023), and complications (13.0% vs 9.51% vs 6.20%, p = 0.012). On multivariable logistic regression, both patients with mild and moderate-severe anemia had an increased risk of transfusion (OR: 37.3, p < 0.001; OR: 5.25, p < 0.001, respectively) and non-home discharge (OR: 2.00, p = 0.021; OR: 1.71, p = 0.001, respectively) compared to patients without anemia. Anemia severity was not independently associated with complications or 90-day readmission. On multivariable linear regression, mild anemia (β: 0.37, p = 0.001) and moderate-severe anemia (β: 1.07, p < 0.001) were independently associated with length of hospital stay. Conclusion: Patients with moderate-severe preoperative anemia are at increased risk for longer length of stay, transfusions, and non-home discharge. Improved optimization of preoperative anemia may significantly reduce healthcare utilization, and surgeons should consider these risks in preoperative planning. Level of Evidence: III [ABSTRACT FROM AUTHOR]

Confounding variables are a recurrent challenge for causal discovery and inference. In many situations, complex causal mechanisms only manifest themselves in extreme events, or take simpler forms in the extremes. Stimulated by data on extreme river flows and precipitation, we introduce a new causal discovery methodology for heavy-tailed variables that allows the effect of a known potential confounder to be almost entirely removed when the variables have comparable tails, and also decreases it sufficiently to enable correct causal inference when the confounder has a heavier tail. We also introduce a new parametric estimator for the existing causal tail coefficient and a permutation test. Simulations show that the methods work well and the ideas are applied to the motivating dataset. [ABSTRACT FROM AUTHOR]

Research on marine microbial communities is growing, but studies are hard to compare because of variation in seawater sampling protocols. To help researchers in the inter-comparison of studies that use different seawater sampling methodologies, as well as to help them design future sampling campaigns, we developed the EuroMarine Open Science Exploration initiative (EMOSE). Within the EMOSE framework, we sampled thousands of liters of seawater from a single station in the NW Mediterranean Sea (Service d'Observation du Laboratoire Arago [SOLA], Banyuls-sur-Mer), during one single day. The resulting dataset includes multiple seawater processing approaches, encompassing different material-type kinds of filters (cartridge membrane and flat membrane), three different size fractionations (>0.22 µm, 0.22–3 µm, 3–20 µm and >20 µm), and a number of different seawater volumes ranging from 1 L up to 1000 L. We show that the volume of seawater that is filtered does not have a significant effect on prokaryotic and protist diversity, independently of the sequencing strategy. However, there was a clear difference in alpha and beta diversity between size fractions and between these and "whole water" (with no pre-fractionation). Overall, we recommend care when merging data from datasets that use filters of different pore size, but we consider that the type of filter and volume should not act as confounding variables for the tested sequencing strategies. To the best of our knowledge, this is the first time a publicly available dataset effectively allows for the clarification of the impact of marine microbiome methodological options across a wide range of protocols, including large-scale variations in sampled volume. [ABSTRACT FROM AUTHOR]

The letter to the editor in the European Spine Journal discusses a recent study on the reliability and accuracy of a wireless handheld 3D ultrasound system for measuring scoliotic parameters in children with adolescent idiopathic scoliosis (AIS). The study highlights the system's effectiveness in measuring Cobb angle, axial vertebral rotation, and kyphotic angle, but suggests the need for further research to compare it with other imaging modalities, address training requirements, technical limitations, and potential biases. The authors recommend future studies with larger and more diverse populations to validate the findings and consider longitudinal assessments of the system's consistency. [Extracted from the article]