Participant Data Research Articles

Effectiveness of Installment Payment Plan Program through Face-to-Face Service Channels and Non-Face-to-Face Service Channels

This study evaluates the effectiveness of registration services for BPJS Kesehatan's REHAB (Installment Payment Plan) program through face-to-face channels at branch offices and non-face-to-face channels via the Mobile JKN application. Employing a qualitative descriptive design, data were collected from 33 informants, including frontline coordinators, frontline staff, UP3KC staff, and 30 participants using purposive sampling. Data collection methods comprised interviews, observations, and documentation, with data validity ensured through triangulation. Analysis followed Miles, Huberman, and Saldana’s interactive model, involving data reduction, presentation, and conclusion verification. Results indicate that the Mobile JKN application is the preferred registration channel due to its convenience and practicality. At the same time, face-to-face services are utilized as a backup option during technical disruptions. However, challenges such as incorrect participant data and system reliability hinder registration. This study underscores the need for improvements in the Mobile JKN system, particularly in data validation and technical stability, to enhance service accessibility and ensure seamless participant registration

Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis.

Background: Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. Purpose: To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC. Methods: Databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched from 2014 to 2022. Individual participant data (IPD) were extracted from studies evaluating HCC diagnosis using CT/MRI LI-RADS and reporting HCC risk factors. IPD from studies were pooled and modelled with one-stage meta-regressions. Interactions were assessed between major features and HCC risk factors, including age, sex, cirrhosis, chronic hepatitis B virus (HBV), and study location. A mixed effects model that included the major features, as well as separate models that included interactions between each risk factor and each major feature, were fit. Differences in interactions across levels of each risk factor were calculated using adjusted odds-ratios (ORs), 95% confidence-intervals (CI), and z-tests. Risk of bias was assessed using QUADAS-2. (Protocol: https://osf.io/tdv7j/). Results: Across 23 studies (2958 patients and 3553 observations), the associations between LI-RADS major features and HCC were consistent across several HCC risk factors (P-value range: .09-.99). A sensitivity analysis among the 4 studies with a low risk of bias did not differ from the primary analysis. Conclusion: The association between CT/MRI LI-RADS major features and HCC risk factors do not significantly differ in individuals at-risk for HCC. These findings suggest that CT/MR LI-RADS should be applied to all patients considered at risk by LI-RADS without modification or exclusions, regardless of the presence or absence of the risk factors evaluated in this study.

EAES rapid guideline: surgical management of complicated diverticulitis - with ESCP participation.

The surgical management of complicated diverticulitis varies across Europe. EAES members prioritized this topic to be addressed by a clinical practice guideline through an online questionnaire. To develop evidence-informed clinical practice recommendations for key stakeholders involved in the treatment of complicated diverticulitis; to improve operative and perioperative outcomes, patient experience and quality of life through a systematic evidence-to-decision approach by a diverse, multidisciplinary panel. Informed by a linked individual participant data network meta-analysis of resection and primary anastomosis (PRA) versus Hartmann's resection (HR) versus laparoscopic lavage (LPL), a panel of general and colorectal surgeons, patient partners, trialists, and fellows appraised the certainty of the evidence using GRADE and CINeMA. The panel discussed the evidence using the evidence-to-decision framework during a synchronous consensus meeting. An asynchronous modified Delphi survey was used to establish consensus. The panel suggests that patients with complicated diverticulitis without sepsis receive PRA over HR or LPL when there is availability of a surgeon with skills and experience in colorectal surgery. HR is suggested over PRA or LPL in the subgroups of septic, frail, as well as immunocompromised patients. These recommendations apply to patients with an indication for surgery. Surgeons and patients should first consider conditionally recommended interventions, then conditionally recommended against. Based on the evidence, the key benefit of PRA was a higher likelihood of not having a stoma at 1year, with similar risks across comparisons. Conditional recommendations call for shared decision-making when considering management options. The full guideline with user-friendly decision aids is available in https://app.magicapp.org/#/guideline/7490 . This clinical practice guideline provides evidence-informed recommendations on the management of patients with complicated diverticulitis in accordance with the highest methodological standards through a structured framework informed by an international, multidisciplinary panel of stakeholders.

Association between volatile organic compounds exposure and infertility risk among American women aged 18–45 years from NHANES 2013–2020

The risk of infertility is progressively escalating over the years, and it has been established that exposure to environmental pollutants is closely linked to infertility. As a prevalent environmental pollutant in daily life, there is still a lack of substantial evidence on the association between volatile organic compounds (VOCs) exposure and infertility risk. This study aimed to examine the association between VOCs exposure and the risk of female infertility in the United States. Participant data sets from three cycles (2013–2020) were collected and downloaded from the National Health and Nutrition Examination Survey (NHANES), including demographics, examination, laboratory and questionnaire data. The baseline characteristics of the included population were evaluated, and the weighted quartile logistic regression was used to analyze the association between the urinary metabolites of VOCs (mVOCs) levels and the risk of infertility. Further exploration of the relationship between mVOCs and infertility was conducted by using 35 and 25 as the cut-off points for age and BMI subgroup analyses, respectively. Restricted cubic spline (RCS) was employed to elucidate the nonlinear relationship between mVOCs and infertility risk. Additionally, the Bayesian kernel machine regression (BKMR) model with 20,000 iterations was applied to elucidate the link between mVOCs and the risk of infertility when exposed to mixed or individual mVOCs. A total of 1082 women aged 18 to 45 years were included in this study, with 133 in the infertility group and 949 in the control group. The analysis of baseline characteristics suggested that urinary 34MHA, AMCC and DHBMA levels were significantly higher in the infertility group compared to the control group (p < 0.05). Quartile logistic regression analysis indicated that AAMA (Q3), AMCC (Q4), CYMA (Q3) and HPMMA (Q3) were positively associated with infertility risk in all models (p < 0.05). Subgroup analysis revealed different risk factors for infertility among various subgroups, with CYMA consistently showing a positive correlation with infertility risk in two age subgroups (p < 0.05). Furthermore, the association between mVOCs and infertility was observed only in the subgroup with BMI ≥ 25 kg/m2. RCS analysis indicated that 2MHA, ATCA, BMA, BPMA, CYMA, 2HPMA, 3HPMA and PGA exhibited linear dose-response relationships with infertility (p > 0.05), while the remaining variables showed nonlinear relationships (p < 0.05). The BKMR model demonstrated that the risk of female infertility exhibited an increasing trend with the accumulation of mVOCs co-exposure. A positive association between the exposure to mVOCs represented by 34MHA and AMCC and the risk of infertility was observed in this research. However, the inherent limitations associated with the cross-sectional study design necessitate the pursuit of additional prospective and experimental research to further elucidate and validate the relationships between various mVOCs exposure and female infertility.

Considering the interconnected nature of social identities in neuroimaging research.

Considerable heterogeneity exists in the expression of complex human behaviors across the cognitive, personality and mental health domains. It is increasingly evident that individual variability in behavioral expression is substantially affected by sociodemographic factors that often interact with life experiences. Here, we formally address the urgent need to incorporate intersectional identities in neuroimaging studies of behavior, with a focus on research in mental health. We highlight how diverse sociodemographic factors influence the study of psychiatric conditions, focusing on how interactions between those factors might contribute to brain biology and illness expression, including prevalence, symptom burden, help seeking, treatment response and tolerance, and relapse and remission. We conclude with a discussion of the considerations and actionable items related to participant recruitment, data acquisition and data analysis to facilitate the inclusion and incorporation of diverse intersectional identities in neuroimaging.

Computational modeling of selective attention differentiates subtypes of amnestic mild cognitive impairment

ABSTRACT Individuals with amnestic mild cognitive impairment (aMCI), a prodromal stage of Alzheimer’s disease and other dementias, show inhibition deficits in addition to episodic memory. How the latent processes of selective attention (i.e., from perception to motor response) contribute to these inhibition deficits remains unclear. Therefore, the present study examined contributions of selective attention to aMCI-related inhibition deficits using computational modeling of attentional dynamics. Two models of selective attention – the dual-stage two-phase model and the shrinking spotlight model – were fitted to individual participant data from a flanker task completed by 34 individuals with single-domain aMCI (sdaMCI, 66–86 years), 20 individuals with multiple-domain aMCI (mdaMCI, 68–88 years), and 52 healthy controls (64–88 years). Findings showed greater commission errors in the mdaMCI group compared to controls. Final-fitting model parameters indicated inhibitory and early perceptual deficits in mdaMCI , and impaired spatial allocation of attention in both MCI groups. Model parameters differentiated mdaMCI from sdaMCI and controls with moderate-to-high sensitivity and specificity. Impairments in perception and selective attention may contribute to inhibition deficits in both aMCI subtypes.

Genotype-Guided Asthma Treatment Reduces Exacerbations in Children: Meta-Analysis of Two RCTs.

Long-acting beta2-agonists (LABA) in combination with inhaled corticosteroids (ICS) are commonly used to treat asthma, however, some children lack response to the addition of LABA. This might be partially due to the presence of the Arg16Gly polymorphism, encoded by rs1042713 G>A in the ADRB2 gene. Carrying the A allele (Arg16) at this variant has been associated with an increased risk of exacerbations despite LABA treatment. We investigated whether genotype-guided treatment improved asthma-related outcomes. We conducted an individual participant data meta-analysis of two randomised controlled trials: PUFFIN (Dutch and Swiss 6-18 year-olds) and PACT (English and Scottish 12-18 year-olds). Children with uncontrolled asthma despite ICS who required a step-up in treatment were included. Participants were randomised to genotype-guided treatment or the control group with a follow-up of at least 6 months. Genotype-guided treatment consisted of adding LABA for children with ADRB2 Gly16/Gly16, whilst children with ADRB2 Arg16/Arg16 or Arg16/Gly16 were treated with double dose ICS (PUFFIN) or add-on montelukast (PACT). The primary outcome was a change in asthma control; secondary outcomes included exacerbation rate and time to exacerbation. Repeated measures mixed models and Cox regression were used. Fifty-nine out of 102 (PUFFIN) and 59 out of 91 (PACT) children had at least one Arg (A allele). Amongst all 193 children, no difference was observed in asthma control between the study groups. However, genotype-guided treatment resulted in lower asthma exacerbation rates (-0.08 (95%CI -0.16 to -0.00, p = 0.04)) compared to the control group. Genotype-guided step-up treatment for children with uncontrolled asthma on ICS may lower asthma exacerbation rates and may be useful for personalising asthma care.

Negative valence in Obsessive-Compulsive Disorder: A worldwide mega-analysis of task-based functional neuroimaging data of the ENIGMA-OCD consortium.

Obsessive-compulsive disorder (OCD) is associated with altered brain function related to processing of negative emotions. To investigate neural correlates of negative valence in OCD, we pooled fMRI data of 633 individuals with OCD and 453 healthy controls from 16 studies using different negatively-valenced tasks across the ENIGMA-OCD Working-Group. Participant data were processed uniformly using HALFpipe, to extract voxelwise participant-level statistical images of one common first-level contrast: negative vs. neutral stimuli. In pre-registered analyses, parameter estimates were entered into Bayesian multilevel models to examine whole-brain and regional effects of OCD and its clinically relevant features - symptom severity, age of onset, and medication status. We provided a proof-of-concept that participant-level data can be combined across several task paradigms and observed one common task activation pattern across individuals with OCD and controls that encompasses fronto-limbic and visual areas implicated in negative valence. Compared to controls, individuals with OCD showed very strong evidence of weaker activation of the bilateral occipital cortex (P+<0.001) and adjacent visual processing regions during negative valence processing that was related to greater OCD severity, late-onset of disease and an unmedicated status. Individuals with OCD also showed stronger activation in the orbitofrontal, subgenual anterior cingulate and ventromedial prefrontal cortex (all P+<0.1) that was related to greater OCD severity and late onset. In the first mega-analysis of this kind, we replicate previous findings of stronger ventral prefrontal activation in OCD during negative valence processing and highlight the lateral occipital cortex as an important region implicated in altered negative valence processing.

Tranexamic Acid Within 4.5 Hours of Intracerebral Hemorrhage With the CTA Spot Sign: Systematic Review and Individual Patient Meta-analysis.

The antifibrinolytic agent tranexamic acid has been tested in intracerebral hemorrhage trials with overall neutral results. Ongoing contrast extravasation on CT angiography (spot sign) can identify individuals with ongoing bleeding who may benefit from anti-fibrinolytic therapy. We aimed to investigate the effect of tranexamic acid on hematoma growth in patients with spot signs treated within 4.5 hours of onset. We conducted a systematic review and individual patient meta-analysis, which we report according to the Preferred Reporting Items for Systematic Review and Meta-analyses of Individual Participant Data guidelines. PubMed and Embase were searched from inception to May 29, 2023, using the terms ((stroke) AND (randomised OR randomized) AND (tranexamic acid) AND (haemorrhage OR hemorrhage)). We included randomized trials comparing tranexamic acid with placebo in participants with primary intracerebral hemorrhage who had a spot sign and who had follow-up imaging within the required timeframe. Individual patient data were provided by each study and were integrated by the coordinating center. Data were pooled using a random-effects model. The primary endpoint was hematoma growth within 24 hours, defined as ≥33% relative or ≥6 mL absolute hematoma expansion compared with baseline, analyzed using mixed-effects-modified Poisson regression with robust standard errors, adjusted for baseline hematoma volume. Safety outcomes were mortality and major thromboembolic events within 90 days. Of 197 studies identified, 3 were eligible, contributing 162 participants for the primary analysis (60 female and 102 male). Hematoma growth occurred in 36 of 74 (49%) participants treated with tranexamic acid, compared with 48 of 88 (55%) participants treated with placebo (adjusted risk ratio 0.86, 95% CI 0.84-0.89, p < 0.001). Adjusted median absolute hematoma growth was 1.60 mL (95% CI 0.77-2.43) lower with tranexamic acid vs placebo. No differences in functional outcome or safety were observed. Tranexamic acid modestly reduced hematoma growth in patients with CT angiography spot signs treated within 4.5 hours of onset. Given the trials in the meta-analysis were individually neutral, these results require further validation before clinical application.

Lecturers’ Behavior and Students’ Drive to Learn: A Survey of Students’ Perception in Selected Nigerian Universities

This study examined students’ perceptions regarding lecturers’ behavior and drive to learn, specifically focusing on the educational interactions within Nigerian universities. It explored the intricacies of the lectures—student rapport, lecturers’ teaching style, authoritative behavior, supportive style, and lecturer feedback styles—and students’ motivation and overall educational experience. A quantitative approach was implemented in the study, and it employed a survey research methodology. Purposive sampling was utilized to select the area of interest as part of a multistage sampling methodology. Consequently, Nigeria was selected, and all higher institutions within the six geopolitical zones were considered, culminating in the selection of more than 200 universities. Stratified sampling was implemented to select 80 universities from the population, which included private, state, and federal institutions. Furthermore, a random sampling procedure led to selecting 30 universities, which included ten private, ten state, and ten federal universities. In the same vein, 300 students from each stratum were selected through simple random sampling, resulting in a population size of 9,000. Taro Yamane’s formula (1967) was employed to ascertain the sample size, which was 383, and a closed-ended questionnaire was carefully devised and distributed to gather data from the participants. Consequently, the study recommended that universities encourage positive interactions between lecturers and students, emphasize student-centered learning, avoid authoritarian approaches by advocating inclusive practices, provide students with meaningful feedback, and cultivate an environment where students are encouraged to improve themselves continuously.stratum were selected through simple random sampling, resulting in a population size of 9,000. Taro Yamane’s formula (1967) was employed to ascertain the sample size, which was 383, and a closed-ended questionnaire was carefully devised and distributed to gather participant data. Consequently, the study recommended that universities encourage positive interactions between lecturers and students, emphasize student-centered learning, and avoid authoritarian approaches by advocating inclusive practices, providing students with meaningful feedback, and cultivating an environment where students are encouraged to improve themselves continuously.

Triangulating evidence from the GALENOS living systematic review on trace amine-associated receptor 1 (TAAR1) agonists in psychosis.

Trace amine-associated receptor 1 (TAAR1) agonists offer a new approach, but there is uncertainty regarding their effects, exact mechanism of action and potential role in treating psychosis. To evaluate the available evidence on TAAR1 agonists in psychosis, using triangulation of the output of living systematic reviews (LSRs) of animal and human studies, and provide recommendations for future research prioritisation. This study is part of GALENOS (Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis). In the triangulation process, a multidisciplinary group of experts, including those with lived experience, met and appraised the first co-produced living systematic reviews from GALENOS, on TAAR1 agonists. The animal data suggested a potential antipsychotic effect, as TAAR1 agonists reduced locomotor activity induced by pro-psychotic drug treatment. Human studies showed few differences for ulotaront and ralmitaront compared with placebo in improving overall symptoms in adults with acute schizophrenia (four studies, n = 1291 participants, standardised mean difference (SMD) 0.15, 95% CI -0.05 to 0.34). Large placebo responses were seen in ulotaront phase three trials. Ralmitaront was less efficacious than risperidone (one study, n = 156 participants, SMD = -0.53, 95% CI -0.86 to -0.20). The side-effect profile of TAAR1 agonists was favourable compared with existing antipsychotics. Priorities for future studies included (a) using different animal models of psychosis with greater translational validity; (b) animal and human studies with wider outcomes including cognitive and affective symptoms and (c) mechanistic studies and investigations of other potential applications, such as adjunctive treatments and long-term outcomes. Recommendations for future iterations of the LSRs included (a) meta-analysis of individual human participant data, (b) including studies that used different methodologies and (c) assessing other disorders and symptoms. This co-produced, international triangulation examined the available evidence and developed recommendations for future research and clinical applications for TAAR1 agonists in psychosis. Broader challenges included difficulties in assessing the risk of bias, reproducibility, translation and interpretability of animal models to clinical outcomes, and a lack of individual and clinical characteristics in the human data. The research will inform a separate, independent prioritisation process, led by lived experience experts, to prioritise directions for future research.

The Number of Remaining Teeth-A Predictability Factor for a Certain Type of Cardiovascular Condition in a Group of Hospitalized Individuals.

Background: The aim of this study was to determine whether the oral parameter reflecting the total number of remaining permanent teeth (NRT) on both arches represents a predictability factor for a certain type of cardiovascular condition. Methods: This study included 84 subjects (40 males and 44 females) with ages between 50 and 89 years old, hospitalized in the Cardiology Department, who required dental examinations and specialized therapeutic interventions within the Emergency Dental Department of the same medical facility. Results: The study participant's data were statically analyzed. An unadjusted oral parameter NRT < 21 may represent a statistically significant predictor of developing cardiomyopathy (OR = 8.00, 95%CI = 2.78-23.06, p < 0.0005), heart valve disease and arterial hypertension, in association with other comorbidities (except for metabolic or pulmonary comorbidities). The regression analyses revealed a borderline-significant association between the adjusted NRT and metabolic comorbidities or coronary disease (OR = 0.37, 95%CI = 0.13-1.01, p = 0.052). Conclusions: Overall, the NRT may be considered a predictive marker that is relative to the risk of exhibiting cardiovascular conditions.

Development and validation of a gonadotropin dose selection model for optimized ovarian stimulation in IVF/ICSI: an individual participant data meta-analysis.

The ovarian response to gonadotropin stimulation varies widely among women, and could impact the probability of live birth as well as treatment risks. Many studies have evaluated the impact of different gonadotropin starting doses, mainly based on predictive variables like ovarian reserve tests (ORT) including anti-Müllerian hormone (AMH), antral follicle count (AFC), and basal follicle-stimulating hormone (bFSH). A Cochrane systematic review revealed that individualizing the gonadotropin starting dose does not affect efficacy in terms of ongoing pregnancy/live birth rates, but may reduce treatment risks such as the development of ovarian hyperstimulation syndrome (OHSS). An individual patient data meta-analysis (IPD-MA) offers a unique opportunity to develop and validate a universal prediction model to help choose the optimal gonadotropin starting dose to minimize treatment risks without affecting efficacy. The objective of this IPD-MA is to develop and validate a gonadotropin dose-selection model to guide the choice of a gonadotropin starting dose in IVF/ICSI, with the purpose of minimizing treatment risks without compromising live birth rates. Electronic databases including MEDLINE, EMBASE, and CRSO were searched to identify eligible studies. The last search was performed on 13 July 2022. Randomized controlled trials (RCTs) were included if they compared different doses of gonadotropins in women undergoing IVF/ICSI, presented at least one type of ORT, and reported on live birth or ongoing pregnancy. Authors of eligible studies were contacted to share their individual participant data (IPD). IPD and information within publications were used to determine the risk of bias. Generalized linear mixed multilevel models were applied for predictor selection and model development. A total of 14 RCTs with data of 3455 participants were included. After extensive modeling, women aged 39 years and over were excluded, which resulted in the definitive inclusion of 2907 women. The optimal prediction model for live birth included six predictors: age, gonadotropin starting dose, body mass index, AFC, IVF/ICSI, and AMH. This model had an area under the curve (AUC) of 0.557 (95% confidence interval (CI) from 0.536 to 0.577). The clinically feasible live birth model included age, starting dose, and AMH and had an AUC of 0.554 (95% CI from 0.530 to 0.578). Two models were selected as the optimal model for combined treatment risk, as their performance was equal. One included age, starting dose, AMH, and bFSH; the other also included gonadotropin-releasing hormone (GnRH) analog. The AUCs for both models were 0.769 (95% CI from 0.729 to 0.809). The clinically feasible model for combined treatment risk included age, starting dose, AMH, and GnRH analog, and had an AUC of 0.748 (95% CI from 0.709 to 0.787). The aim of this study was to create a model including patient characteristics whereby gonadotropin starting dose was predictive of both live birth and treatment risks. The model performed poorly on predicting live birth by modifying theFSH starting dose. On the contrary, predicting treatment risks in terms of OHSS occurrence and management by modifying thegonadotropin starting dose was adequate. This dose-selection model, consisting of easily obtainable patient characteristics, aids in the choice of the optimal gonadotropin starting dose for each individual patient to lower treatment risks and potentially reduce treatment costs.

Effectiveness of the primary Bacillus Calmette-Guérin vaccine against the risk of Mycobacterium tuberculosis infection and tuberculosis disease: a meta-analysis of individual-participant data

Tuberculosis vaccine trials using disease as the primary endpoint are large, time consuming, and expensive. An earlier immunological measure of the protection against disease would accelerate tuberculosis vaccine development. We aimed to assess whether the effectiveness of the Bacillus Calmette-Guérin (BCG) vaccine for preventionof Mycobacterium tuberculosis infection was consistent with that for prevention of tuberculosis disease. We conducted an individual participant data (IPD) meta-analysis on experimental and observational longitudinal studies before April 6, 2018, identified through systematic reviews, known to us through expert knowledge in the field, reporting on BCG vaccination status, Mtuberculosis infection test (QuantiFERON IFN-γ release assay [IGRA] and tuberculin skin test [TST]), and tuberculosis incidence. Cohort studies were included only for countries with a mandatory neonatal BCG vaccination policy. Exclusion criteria were previous or current tuberculosis disease, HIV infection, tuberculosis preventive treatment usage, and for household contacts, a positive baseline IGRA or TST test and young children aged 0-2 years; for randomised controlled trials, TST results within 2years after random assignation were excluded. We contacted the investigators of the identified studies to provide IPD. We compared the protective efficacy of the BCG vaccine against Mtuberculosis infection with that against tuberculosis disease using mixed-effects, multivariable proportional hazards modelling, by study type, Mtuberculosis infection test (IGRA and TST), cutoff for defining test positivity, age, sex, and latitude. We identified 79studies eligible for full screening and of these, IPD datasets from 14studies were included in our analysis: 11household contact studies (29 147participants), two adolescent cohort studies (11 368participants), and one randomised controlled trial (2963 participants). Among 28 188participants we found no protection by the BCG vaccine against TST conversion regardless of cutoff in any type of study. Among 1491household contacts, but not among 5644adolescents, the BCG vaccine protected against QuantiFERON conversion at the primary cutoff of 0·7IU/mL or more with the adjusted hazard ratio (0·65, 95% CI 0·51-0·82) being consistent with that for protection against disease (0·68, 0·18-2·59). Protection against QuantiFERON conversion at cutoff of 0·35IU/mL or more (0·64,0·51-0·81) was similar. Protection from the BCG vaccination against Mtuberculosis infection, measured as QuantiFERON conversion, is inconsistent across different groups. Among groups with recent household exposure, QuantiFERON conversion is consistent with protection against disease and could be evaluated as a proxy for disease in tuberculosis vaccine trials. We found that TST lacks value for prevention in phase 2b proof-of-concept trials. Bill & Melinda Gates Foundation.

Validation of prognostic models predicting mortality or ICU admission in patients with COVID-19 in low- and middle-income countries: a global individual participant data meta-analysis

BackgroundWe evaluated the performance of prognostic models for predicting mortality or ICU admission in hospitalized patients with COVID-19 in the World Health Organization (WHO) Global Clinical Platform, a repository of individual-level clinical data of patients hospitalized with COVID-19, including in low- and middle-income countries (LMICs).MethodsWe identified eligible multivariable prognostic models for predicting overall mortality and ICU admission during hospital stay in patients with confirmed or suspected COVID-19 from a living review of COVID-19 prediction models. These models were evaluated using data contributed to the WHO Global Clinical Platform for COVID-19 from nine LMICs (Burkina Faso, Cameroon, Democratic Republic of Congo, Guinea, India, Niger, Nigeria, Zambia, and Zimbabwe). Model performance was assessed in terms of discrimination and calibration.ResultsOut of 144 eligible models, 140 were excluded due to a high risk of bias, predictors unavailable in LIMCs, or insufficient model description. Among 11,338 participants, the remaining models showed good discrimination for predicting in-hospital mortality (3 models), with areas under the curve (AUCs) ranging between 0.76 (95% CI 0.71–0.81) and 0.84 (95% CI 0.77–0.89). An AUC of 0.74 (95% CI 0.70–0.78) was found for predicting ICU admission risk (one model). All models showed signs of miscalibration and overfitting, with extensive heterogeneity between countries.ConclusionsAmong the available COVID-19 prognostic models, only a few could be validated on data collected from LMICs, mainly due to limited predictor availability. Despite their discriminative ability, selected models for mortality prediction or ICU admission showed varying and suboptimal calibration.

A technology-enabled collaborative learning model (Project ECHO) to upskill primary care providers in best practice pain care.

Background The South Australian (SA) Chronic Pain Extension for Community Healthcare Outcomes (ECHO) Network was established to upskill primary care providers in best practice pain care aligned to a patient-centred, biopsychosocial approach using didactic and case-based virtual mentoring sessions. The aims of this study were to assess: (a) participation, satisfaction (relevance, satisfaction with format and content, perceptions of the mentorship environment), learning (perceived knowledge gain, change in attitudes), competence (self-confidence) and performance (intention to change practice, perceived practice change) of the ECHO Network clinician participants; and (b) self-perceived barriers at the clinical, service and system level to applying the learnings. Methods A mixed methods, participatory evaluation approach was undertaken. Data sources included analysis of program records (learning needs assessment, enrolment survey data, program participation data and online surveys of healthcare professionals including a satisfaction survey after each ECHO session (n=106 across the ECHO series of 10 sessions; average response rate=46%), a case presenters survey (n=7, response rate=78%) and an outcome survey after all 10 ECHO sessions (n=11, response rate=25%). Results Forty-four healthcare professionals participated in the ECHO Network from a range of career stages and professional disciplines (half were general practitioners). One-third of participants practised in regional SA. Participants reported that the ECHO sessions met their learning needs (average=99% across the series), were relevant to practice (average=99% across the series), enabled them to learn about the multidisciplinary and biopsychosocial approach to pain care (a verage=97% across the series) and provided positive mentorship (average=96% across the series). Key learnings for participants were the importance of validating the patient experience and incorporating psychological and social approaches into pain care. More than one-third of participants (average=42% across the series) identified barriers to applying the learnings such as limited time during a consultation and difficulty in forming a multidisciplinary team. Conclusions The ECHO Network model was found to be an acceptable and effective interdisciplinary education model for upskilling primary care providers in best practice pain care aligned to a patient-centred, biopsychosocial approach to pain managment. However, participants perceived barriers to translating this knowledge into practice at the clinical, service and system levels.

Associations between serum uric acid and risk of depressive symptoms in East Asian populations

BackgroundDespite the fact that observational studies have reported associations between serum uric acid (SUA) and depressive symptoms risk in East Asian populations, there is a lack of evidence demonstrating a causal relationship between them. This study aimed to perform a comprehensive assessment of the relationship between SUA and depressive symptoms.MethodsThis study included two cohort studies and a two-sample Mendelian randomization study. The cross-sectional cohort was derived from the China Health and Retirement Longitudinal Study (CHARLS) wave 3 (in 2015), and the baseline data of participants were extracted from the CHARLS wave 1(in 2011), excluding those with depressive symptoms in 2011 and forming a longitudinal cohort from 2011 to 2015. Logistic multiple regression was performed to investigate the cross-sectional and longitudinal associations of SUA with depressive symptoms in the two cohorts. Furthermore, we performed two-sample Mendelian randomization analyses to explore the potential causal relationships between them.ResultsWe included two cohorts of 9056 and 3177 individuals respectively. Logistic regression showed that individual with higher SUA levels had a lower risk of depressive symptoms (OR = 0.921; 95%CI: 0.886–0.957) in the cross-sectional cohort. However, neither the baseline SUA level (OR = 1.055, 95%CI: 0.961–1.157) nor the change in SUA level (OR = 0.945, 95%CI: 0.656–1.363) affected the depressive symptoms 4 years later in the longitudinal cohort. The two-sample MR showed that there was no genetic causal relationship between SUA and depression (ORIVW_MRE= 1.071, 95% CI: 0.926–1.238).ConclusionsSUA and depressive symptoms are associated, with lower SUA levels observed in middle-aged and older participants with depressive symptoms; however, no causal evidence supports their relationship.

The relationship between food components and constipation: a cross-sectional study

BackgroundThe worldwide incidence of constipation is exhibiting an increasing trend. The objective of this study was to assess the relationship between dietary components and the occurrence of constipation.MethodsSociodemographic characteristics data of participants experiencing constipation and those without were sourced from the National Health and Nutrition Examination Survey (NHANES; 2000–2010; n = 1903; ≥20 years). Sociodemographic characteristics of participants experiencing constipation and those without were sourced from the National Health and Nutrition Examination Survey (NHANES). Data from two 24-hour dietary recalls (n = 1696; participants aged 20 years and older) were utilized to compare the dietary intake of various food components between constipated and non-constipated individuals, as well as to investigate the relationship between food component consumption and constipation. Odds ratios (OR) were calculated using an adjusted model. The distribution of the data was illustrated through a histogram. Based on this distribution, vegetable intake was categorized into five groups (0-0.733, 0.733–1.47, 1.47–2.2, 2.2–2.93, 2.93-8) for the purpose of subgroup analysis.ResultsThe median age of individuals experiencing constipation is 41.5 years, with women accounting for 65.3% and men accounting for 34.7%. The consumption of fruits (constipated people = 0.79 cups/d; non-constipated people = 0.93 cups/d), vegetables (1.21 cups/d; 1.59 cups/d), dairy (1.68 cups/d; 1.55 cups/d), and oils (15.31 g/d; 19.61 g/d) is below the recommended dietary intake for both groups. After multivariable adjustment, vegetable consumption (OR: 0.74, 95% CI: 0.59–0.92, p = 0.008) and female (OR: 2.12, 95% CI: 1.38–3.24, p < 0.001) were identified as significant predictors of constipation. The subgroup analysis concerning vegetable consumption indicated a statistically significant result within Group (2.93,8 ] [OR: 0.2, 95% CI: 0.069–0.57].ConclusionsThe findings of the research suggest that it is advisable for individuals to consume a minimum of 2.93 cups of vegetables daily. Furthermore, females exhibit a significantly elevated risk of experiencing constipation. However, no association has been identified between constipation and either age or educational level.

Evaluating causal associations of chronotype with pregnancy and perinatal outcomes and its interactions with insomnia and sleep duration: a mendelian randomization study

BackgroundObservational studies suggested chronotype was associated with pregnancy and perinatal outcomes. Whether these associations are causal is unclear. Our aims are to use Mendelian randomization (MR) to explore (1) associations of evening preference with stillbirth, miscarriage, gestational diabetes, hypertensive disorders of pregnancy, perinatal depression, preterm birth and offspring birthweight; and (2) differences in associations of insomnia and sleep duration with those outcomes between chronotype preferences.MethodsWe conducted two-sample MR using 105 genetic variants reported in a genome-wide association study (N = 248,100) to instrument for lifelong predisposition to evening- versus morning-preference. We generated variant-outcome associations in European ancestry women from UK Biobank (UKB, N = 176,897), Avon Longitudinal Study of Parents and Children (ALSPAC, N = 6826), Born in Bradford (BiB, N = 2940) and the Norwegian Mother, Father and Child Cohort Study (MoBa, N = 57,430), and extracted equivalent associations from FinnGen (N = 190,879). We used inverse variance weighted (IVW) as main analysis, with weighted median and MR-Egger as sensitivity analyses. Relying on the individual participant data from UKB, ALSPAC, BiB and MoBa, we also conducted IVW analyses of insomnia and sleep duration on the pregnancy and perinatal outcomes, stratified by genetically predicted chronotypes.ResultsIn IVW and sensitivity analyses, we did not find robust evidence of associations of chronotype with the outcomes. Insomnia was associated with a higher risk of preterm birth among evening preference women (odds ratio 1.61, 95% confidence interval: 1.17, 2.21), but not among morning preference women (odds ratio 0.87, 95% confidence interval: 0.64, 1.18), with an interaction P-value = 0.01. There was no evidence of interactions between insomnia and chronotype on other outcomes, or between sleep duration and chronotype on any outcomes.ConclusionsThis study raises the possibility of a higher risk of preterm birth among women with insomnia who also have an evening preference. Our findings warrant replications due to imprecise estimates.

2024 Update of the RECOVER-Adult Long COVID Research Index

Classification of persons with long COVID (LC) or post-COVID-19 condition must encompass the complexity and heterogeneity of the condition. Iterative refinement of the classification index for research is needed to incorporate newly available data as the field rapidly evolves. To update the 2023 research index for adults with LC using additional participant data from the Researching COVID to Enhance Recovery (RECOVER-Adult) study and an expanded symptom list based on input from patient communities. Prospective, observational cohort study including adults 18 years or older with or without known prior SARS-CoV-2 infection who were enrolled at 83 sites in the US and Puerto Rico. Included participants had at least 1 study visit taking place 4.5 months after first SARS-CoV-2 infection or later, and not within 30 days of a reinfection. The study visits took place between October 2021 and March 2024. SARS-CoV-2 infection. Presence of LC and participant-reported symptoms. A total of 13 647 participants (11 743 with known SARS-CoV-2 infection and 1904 without known prior SARS-CoV-2 infection; median age, 45 years [IQR, 34-69 years]; and 73% were female) were included. Using the least absolute shrinkage and selection operator analysis regression approach from the 2023 model, symptoms contributing to the updated 2024 index included postexertional malaise, fatigue, brain fog, dizziness, palpitations, change in smell or taste, thirst, chronic cough, chest pain, shortness of breath, and sleep apnea. For the 2024 LC research index, the optimal threshold to identify participants with highly symptomatic LC was a score of 11 or greater. The 2024 index classified 20% of participants with known prior SARS-CoV-2 infection and 4% of those without known prior SARS-CoV-2 infection as having likely LC (vs 21% and 5%, respectively, using the 2023 index) and 39% of participants with known prior SARS-CoV-2 infection as having possible LC, which is a new category for the 2024 model. Cluster analysis identified 5 LC subtypes that tracked quality-of-life measures. The 2024 LC research index for adults builds on the 2023 index with additional data and symptoms to help researchers classify symptomatic LC and its symptom subtypes. Continued future refinement of the index will be needed as the understanding of LC evolves.