Odds Ratio Range Research Articles

Association of self-harm and suicidality with psychiatric co-occurring conditions in autistic individuals: a systematic review and pooled analysis

Autistic individuals frequently experience psychiatric co-occurring conditions, but the association with self-harm/suicidality according to these conditions was not yet elucidated. We aimed to summarize the association between self-harm/suicidality and psychiatric co-occurring conditions in autistic people. We systematically searched PubMed, Scopus, Embase, Web of Science, and Cochrane Database of Systematic Reviews until June 4, 2024 (PROSPERO registration number: CRD42023412860). Observational studies were included that provided information to calculate the odds ratio (OR) regarding the association between self-harm/suicidality and psychiatric co-occurring conditions in autistic individuals. We summarized the identified associations by presenting OR range or meta-analyzing when 7 or more estimates are available. The systematic search found 20 eligible studies with 301,841 participants. Our findings suggested that autistic individuals with any psychiatric disorder (k=1; OR 3.55; 95% CI 1.27-9.98), ADHD (k=3; OR range: 1.07-1.65), or mood disorder (k=1; OR 1.26; 95% CI 1.05-1.51) may be associated with higher odds of self-harm than those without these conditions. We identified potential positive associations between suicidality and the following co-occurring conditions: any psychiatric disorder (k=1; OR 11.65; 95% CI 10.68-12.71), psychotic disorder (k=4; OR range: 1.95-10.97), mood disorder (k=3; OR range: 1.75-9.82), bipolar disorder (k=2; ORrange: 2.55-4.95), depressive disorder (k=10; pooled OR 2.29; 95% CI 1.39-3.77), trauma- and stress-related disorder (k=2; OR range: 1.28-10.47), and adjustment disorder (k=1; OR 3.52; 95% CI 2.89-4.28). We found psychiatric co-occurring conditions that may be associated with higher odds of self-harm/suicidality in autistic individuals. However, our findings should be interpreted with caution considering the limited number of included studies. We suggested that clinicians should remain vigilant for autistic individuals with psychiatric co-occurring conditions for their potentially higher likelihood of self-harm and suicidality. This research was supported by a grant of the R&D project, funded by the National Center for Mental Health (grant number: MHER22A01).

Evaluating Criteria for Symptoms Suggestive of Early Osteoarthritis Over Two Years Post-ACL Reconstruction: Data from the New Zealand ACL Registry.

The objectives were to determine the prevalence of meeting criteria for symptoms suggestive of early osteoarthritis (OA) following anterior cruciate ligament reconstruction (ACLR) and to characterize the longitudinal changes in these symptoms during the first two years post-ACLR. We analyzed data from 10231 patients aged 14-40 years in the New Zealand ACL Registry who completed the Knee injury and Osteoarthritis Outcome Score (KOOS) at 6, 12, and 24 months post-ACLR. Symptoms suggestive of early OA were defined as scoring ≤85% on at least 2 of 4 KOOS subscales. Longitudinal patterns of change were categorized as persistent, resolution, new, inconsistent, or no symptoms across the three visits. Prevalence and odds ratios (ORs) of symptoms were compared across visits, sex, and age groups using generalized estimating equations, and longitudinal patterns of symptom change were analyzed using multinomial logistic regression. Prevalence of meeting criteria of symptoms suggestive of early OA was 68% at 6 months, 54% at 12 months, and 46% at 24 months post-ACLR. Longitudinally, 33% had persistent symptoms, 23% had no symptoms, 29% showed symptom resolution, 6% developed new symptoms, and 9% had inconsistent symptoms. Females consistently showed higher odds of symptoms (OR range:1.17-1.52). Older age groups demonstrated higher odds of symptoms, particularly at 6 months (OR range:1.64-2.45). Symptoms suggestive of early OA are highly prevalent within two years post-ACLR, with one-third of patients experiencing persistent symptoms. These findings indicate that symptoms are more likely to persist rather than newly develop, emphasizing the importance of early identification and targeted interventions.

Natural menopause timing and menopause symptoms among lesbian, bisexual, and heterosexual women in the Nurses' Health Study II

Abstract Objective This study aimed to examine sexual orientation differences in natural menopause timing and symptoms between lesbian and bisexual women compared with heterosexual women. Methods We used longitudinal questionnaire data (1989-2015) from 92,314 women (858 lesbian, 375 bisexual) in the Nurses' Health Study II cohort. Women were 24-44 yr old at baseline and biennially reported their menopause status, including reasons for cessation of menstrual periods. In 2009 and 2013, women reported on their experience of hot flashes and night sweats. Covariates included age, age at menarche, body mass index, smoking, and parity. Sexual orientation was reported in 1995 and 2009. Results Age-adjusted Cox models and logistic regression models suggest that there were no statistically significant differences in menopause timing between lesbian or bisexual women when compared with heterosexual women. When examining menopause symptoms, lesbian women consistently had a statistically significantly (P < 0.05) higher odds of experiencing hot flashes or night sweats (odds ratio range: 1.17 to 1.72) and moderate/severe symptoms (OR range: 1.26 to 1.77) than heterosexual women, even after adjusting for covariates such as smoking and obesity. There were no statistically significant differences in menopause symptoms between bisexual and heterosexual women. Conclusions Our findings suggest no meaningful difference in menopause timing between sexual minority and heterosexual women. Additionally, menopause symptoms were more likely among lesbian women and warrants additional study.

Cross-sectional study of predictors of infant nutrition knowledge among new mothers in Iraq

Background: Despite recent improvements, infant and young child feeding (IYCF) remains a challenge in Basra, Iraq. Aim: To describe the predictors of IYCF knowledge among new mothers in Basra City, Iraq. Methods: This cross-sectional study collected data on infant nutrition knowledge from 400 new mothers attending 12 primary health care centres in Basra, Iraq, between February and June 2023. Jamovi version 2.3 was used for statistical analyses. Predictive analysis was performed with univariable and multivariable ordinal logistic regression, and the results were reported as crude and adjusted odds ratios with 95% confidence interval. P < 0.05 was considered significant. Results: Most (60%) of the women interviewed were younger than 19 years, married (98%), living in an extended family setting (93%), and in the lowest income level (76%). Age ≤19 was a significant predictor of knowledge about breastfeeding, formula feeding, complementary feeding, water and supplements, and food allergies (adjusted odds ratio range 2.24–5.30). Unemployment and low education status predicted lower knowledge about breastfeeding, complementary feeding, water and supplements, and food allergies, but neither unemployment nor low education status predicted lower knowledge about formula feeding. Receiving information from doctors or healthcare workers and social media or the internet was associated with better maternal IYCF knowledge while receiving information from family and friends predicted poorer knowledge about food allergy and water and supplements. Conclusion: IYCF education in Basra should be improved, with particular attention to healthcare worker-mediated and social media- and family systems-based approaches. Priority should be given to the less educated, younger and unemployed women and those in the lower income group.

Spillover effects from a type 2 diabetes integrated model of care in 22,706 Australians: an open cohort stepped wedge trial

BackgroundMany Australian adults are not receiving timely or effective diabetes management to prevent or delay the onset of diabetes related complications. Integrated care, a worldwide trend in healthcare reform, aims to reduce the fragmented delivery of health services and improve outcomes. This study aimed to test whether a specialist-led integrated model of care provided to a small subset of patients in general practices leads to spillover clinical improvements in all patients of the practice with type 2 diabetes.MethodsSeventy-two general practice sites (clusters) in New South Wales, Australia received the Diabetes Alliance intervention, creating a non-randomised open cohort stepped wedge trial. The intervention comprised of case conferencing, delivered directly to a small proportion of adults with type 2 diabetes (n = 1,072) of the general practice sites; as well as practice feedback, education and training. Spillover clinical improvements were assessed on all adults with type 2 diabetes within the general practice sites (n = 22,706), using practice level data recorded in the MedicineInsight electronic database, compared before and after the intervention. Outcome measures included frequency of diabetes screening tests in line with the Annual Cycle of Care, and clinical results for weight, blood pressure, HbA1c, lipids, and kidney function.ResultsCompared to before Diabetes Alliance, the odds of all practice patients receiving screening tests at or above the recommended intervals were significantly higher for all recommended tests after Diabetes Alliance (odds ratio range 1.41–4.45, p < 0.0001). Significant improvements in clinical outcomes were observed for weight (absolute mean difference: -1.38 kg), blood pressure (systolic − 1.12 mmHg, diastolic − 1.18 mmHg), HbA1c (-0.03% at the mean), total cholesterol (-0.11 mmol/L), and triglycerides (-0.02 mmol/L) (p < 0.05). There were small but significant declines in kidney function.ConclusionsIntegrated care delivered to a small subset of patients with type 2 diabetes across a large geographic region has spillover benefits that improve the process measures and clinical outcomes for all practice patients with type 2 diabetes.Trial registrationACTRN12622001438741; 10th November 2022, retrospectively registered: https://www.anzctr.org.au/ACTRN12622001438741.aspx.

Several factors predict the achievement of the patient acceptable symptom state and minimal clinically important difference for patient-reported outcome measures following anterior cruciate ligament reconstruction: A systematic review.

To summarize the predictors of the patient acceptable symptom state (PASS), minimal clinically important difference (MCID) and minimal important change (MIC) for patient-reported outcome measures (PROMs) following anterior cruciate ligament reconstruction (ACLR). MEDLINE, PubMed and Embase were searched from inception to 5 January 2024. The authors adhered to PRISMA/R-AMSTAR guidelines, and the Cochrane Handbook for Systematic Reviews of Interventions. Data on statistical associations between predictive factors and PROMs were extracted. Inverse odds ratios (ORs) and confidence intervals (reverse group comparison) were calculated when appropriate to ensure comparative consistency. Thirteen studies comprising 21,235 patients (48.1% female) were included (mean age 29.3 years). Eight studies comprising 3857 patients identified predictors of PASS, including lateral extra-articular tenodesis (LET) (OR = 11.08, p = 0.01), hamstring tendon (HT) autografts (OR range: 2.02-2.63, p ≤ 0.011), age over 30 (OR range: 1.37-2.28, p ≤ 0.02), male sex (OR range: 1.03-1.32, p ≤ 0.01) and higher pre-operative PROMs (OR range: 1.04-1.21). Eight studies comprising 18,069 patients identified negative predictors of MCID or MIC, including female sex (OR = 0.93, p = 0.034), absence of HT autografts (OR = 0.70, p < 0.0001), higher pre-operative PROMs (OR = 0.76-0.84, p ≤ 0.01), meniscectomy (OR = 0.67, p = 0.014) and collision sports (OR = 0.02-0.60, p ≤ 0.05). Higher pre-operative PROMs, age over 30, male sex, LETs and HT autografts predicted PASS achievement. Lower pre-operative PROMs, male sex, non-collision sports, and lack of meniscectomies predicted MCID/MIC achievement. This review provides a comprehensive understanding of the predictors of clinically significant post-ACLR outcomes, thus improving clinical decision-making and the management of patient expectations. Level IV.

Potential mechanisms of gut microbiota influence on different types of vertigo: a bidirectional Mendelian randomization and mediation analysis

BackgroundThe relationship between gut microbiota and vertigo, specifically Benign Paroxysmal Vertigo (BPV) and Vertigo of Central (VC), remains underexplored.Aim and hypothesesThis study aims to investigate the causal relationships between gut microbiota and two types of vertigo, BPV and VC. Additionally, the study seeks to explore the mediation effects of metabolic, inflammatory, and psychological factors on these relationships. We hypothesize that specific taxa of gut microbiota have a causal effect on the risk of developing BPV and VC. The mediation effects of HbA1c, obesity, major depression, and interleukin-18 levels significantly influence the relationships between gut microbiota and vertigo.MethodUtilizing a bidirectional two-sample Mendelian randomization approach, this study investigated causal associations between gut microbiota and the two types of vertigo. A network MR assessed mediation effects of HbA1c, major depression, obesity, and interleukin-18 levels, with data sourced from several consortia, including MiBioGen.ResultsDistinct gut microbiota displayed varying influences on BPV and VC risks. A total of ten taxa affect BPV. Among these, two taxa have an odds ratio (OR) greater than 1, including one class, one order. Conversely, eight taxa have an OR less than 1, encompassing four families, three genera, and one order. The OR for these taxa ranges from 0.693 to 0.930, with p-values between 0.006 and 0.048. For VC, eight taxa were found to have an impact. Five of these taxa exhibit an OR greater than 1, including four genera and one phylum. The OR for these taxa ranges from 1.229 to 2.179, with p-values from 0.000 to 0.046. The remaining three taxa have an OR less than 1, comprising one family and two genera, with an OR range of 0.445 to 0.792 and p-values ranging from 0.013 to 0.050. The mediation analysis for BPV shows that major depression, obesity, and HbA1c are key mediators between specific taxa and BPV. Major depression mediates 28.77% of the effect of family Rhodospirillaceae on BPV. Obesity mediates 13.90% of the effect of class Lentisphaeria/order Victivallales. HbA1c mediates 11.79% of the effect of genus Bifidobacterium, 11.36% of family Bifidobacteriaceae/order Bifidobacteriales. For VC, interleukin-18 levels and major depression are significant mediators. Interleukin-18 levels mediate 6.56% of the effect of phylum Actinobacteria. Major depression mediates 6.51% of the effect of genus Alloprevotella.ConclusionThe study highlights potential causal links between gut microbiota and vertigo, emphasizing metabolic and psychological mediators. These insights underscore the therapeutic potential of targeting gut health in vertigo management.

Acute kidney injury as a prognostic predictor of in-hospital mortality and neurological outcomes in patients after extracorporeal cardiopulmonary resuscitation.

Extracorporeal cardiopulmonary resuscitation (ECPR) is increasingly being applied to patients with refractory cardiac arrest, but the survival rate to hospital discharge is only approximately 29%. Because ECPR requires intensive resources, it is important to predict outcomes. We therefore investigated the prognostic association between acute kidney injury (AKI) and ECPR to confirm the performance of AKI as a prognostic predictor of in-hospital mortality and neurological outcomes in ECPR. We conducted a retrospective observational study on patients undergoing ECPR for cardiac etiology at Chonnam National University Hospital from 2015 to 2021. The group diagnosed with AKI in any KDIGO category within the first 48 h after ECPR was compared to that without AKI, and the primary outcome of the study was in-hospital mortality. Of 138 enrolled patients, 83 were studied. Hospital mortality occurred in 49 patients (59%), and 55 (66.3%) showed poor neurological outcomes. The AKI group displayed significantly elevated in-hospital mortality (77.8% vs 24.1%) and poor neurological outcomes (81.5% vs 37.9%) compared to the non-AKI group (p < 0.001). Regression analysis showed that AKI was associated with significantly higher rates of both in-hospital mortality (odds ratio (OR) range 10.75-12.88) and neurologic outcomes (OR range 5.9-6.22). There was a significant association of AKI with both in-hospital mortality and poor neurologic outcome in patients after ECPR, and AKI can be used as an early prognostic predictor in these patients.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome After SARS-CoV-2 Infection

Chronic symptoms reported following an infection with SARS-CoV-2, such as cognitive problems, overlap with symptoms included in the definition of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). To evaluate the prevalence of ME/CFS-like illness subsequent to acute SARS-CoV-2 infection, changes in ME/CFS symptoms through 12 months of follow-up, and the association of ME/CFS symptoms with SARS-CoV-2 test results at the acute infection-like index illness. This prospective, multisite, longitudinal cohort study (Innovative Support for Patients with SARS-CoV-2 Infections Registry [INSPIRE]) enrolled participants from December 11, 2020, to August 29, 2022. Participants were adults aged 18 to 64 years with acute symptoms suggestive of SARS-CoV-2 infection who received a US Food and Drug Administration-approved SARS-CoV-2 test at the time of illness and did not die or withdraw from the study by 3 months. Follow-up surveys were collected through February 28, 2023. COVID-19 status (positive vs negative) at enrollment. The main outcome was the weighted proportion of participants with ME/CFS-like illness based on the 2015 Institute of Medicine clinical case definition using self-reported symptoms. A total of 4378 participants were included in the study. Most were female (3226 [68.1%]). Mean (SD) age was 37.8 (11.8) years. The survey completion rates ranged from 38.7% (3613 of 4738 participants) to 76.3% (1835 of 4738) and decreased over time. The weighted proportion of participants identified with ME/CFS-like illness did not change significantly at 3 through 12 months of follow-up and was similar in the COVID-19-positive (range, 2.8%-3.7%) and COVID-19-negative (range, 3.1%-4.5%) groups. Adjusted analyses revealed no significant difference in the odds of ME/CFS-like illness at any time point between COVID-19-positive and COVID-19-negative individuals (marginal odds ratio range, 0.84 [95% CI, 0.42-1.67] to 1.18 [95% CI, 0.55-2.51]). In this prospective cohort study, there was no evidence that the proportion of participants with ME/CFS-like illness differed between those infected with SARS-CoV-2 vs those without SARS-CoV-2 infection up to 12 months after infection. A 3% to 4% prevalence of ME/CFS-like illness after an acute infection-like index illness would impose a high societal burden given the millions of persons infected with SARS-CoV-2.

Validation and Application of Thresholds to Define Meaningful Change in Vasomotor Symptoms Frequency: Analysis of Pooled SKYLIGHT1 and 2 Data.

Vasomotor symptoms (VMS), the characteristic symptoms of menopausal transition, are often the primary reason women seek treatment. Current treatment options for VMS include fezolinetant, a nonhormonal, selective neurokinin3 receptor antagonist. This study aimed to define a clinically meaningful threshold for reduction of moderate-to-severe VMS in postmenopausal women treated with fezolinetant and then apply it in a responder analysis of the pooled trial data. This analysis pooled data from two identical phase3, double-blind, placebo-controlled studies that randomized women with moderate-to-severe VMS to once-daily fezolinetant 30mg, 45mg, or placebo (SKYLIGHT1 and 2). The frequency of VMS was collected daily using an electronic diary. Patients completed the Patient Global Impression of Change in VMS (PGI-C VMS) instrument, which assessed changes in hot flushes/night sweats at weeks4 and 12 compared with baseline using a seven-point Likert scale. VMS frequency data were anchored to PGI-C VMS data; the anchor level for meaningful within-patient change in PGI-C VMS was "moderately better." In the pooled population (N = 1022), the mean (standard deviation) estimated thresholds for a meaningful within-patient change in moderate-to-severe VMS frequency were - 5.73 (3.47) at week4 and - 6.20 (5.18) at week12. Applying the thresholds for meaningful within-patient change to responder analyses ("missing as non-responder" imputation method) indicated a favorable clinical benefit: greater proportions of responders were observed in the fezolinetant 30-mg and 45-mg groups compared with placebo at week4 (odds ratio range 2.48-2.91; P < 0.001) and week12 (odds ratio range 1.908-2.68; P < 0.001). PGI-C VMS is sensitive to change and correlates with VMS frequency: a reduction of approximately six VMS episodes per day from baseline to week12 was meaningful at the individual patient level. Fezolinetant provides a meaningful clinical benefit for women with moderate-to-severe VMS associated with menopause and represents an important nonhormonal treatment option. NCT04003155 and NCT04003142.

Artificial intelligence (AI) content detection in ASCO scientific abstracts from 2021 to 2023.

1565 Background: Generative AI models such as OpenAI’s ChatGPT have been broadly utilized throughout the medical literature. Previous studies have found that AI can generate scientific abstracts which can be difficult to distinguish from the work of human authors. There is a pressing need to characterize utilization of AI in scientific writing to guide policy. Methods: In collaboration with ASCO's Center for Research and Analytics, we extracted text from all scientific abstracts submitted to ASCO 2021 – 2023 Annual Meetings. Likelihood of AI content was evaluated by four AI detectors: GPTZero, Originality.ai (OGAI), Sapling, and Kashyap's AI Content Detector (AICD). Each detector produces a numeric likelihood of AI content. Predictions were dichotomized for uniform analysis across detectors: those in the top 5% for a given detector were considered as having high likelihood of AI content. Logistic regression was used to compute odds ratio (OR) for AI-generated content with respect to submission year and abstract characteristics. Predictions were also assessed for 10 human-written abstracts as negative controls, and 10 produced by OpenAI’s GPT-3 and GPT-4 models as positive controls. Results: 15,553 abstracts met inclusion criteria. 5,179 (33%) were published online only, and 5,327 (34%) referenced registered clinical trials. Across all detectors, abstracts submitted in 2023 were significantly more likely to contain AI content than those in 2021 (OR range 1.3 - 1.7). In abstracts from 2023, AI content score was associated with online only publication, lack of clinical trial number, and abstract track (Table). None of the 10 negative control human written abstracts were identified as AI generated, whereas 100%, 95%, 90%, and 30% of the GPT-3/4 generated abstracts were classified as AI generated by Sapling, GPTZero, OGAI, and AICD respectively using the 5% threshold. Additional results will be presented. Conclusions: AI content detectors uniformly suggest a higher likelihood of AI content generation for abstracts submitted in 2023. Predicted AI content is associated with triage of abstracts to online only presentation, suggesting predicted AI content is associated with lower perceived abstract quality. Further work is needed to understand the accuracy of AI detectors and utility in the abstract review process. [Table: see text]

Tumor Stiffness Measurement at Multifrequency MR Elastography to Predict Lymphovascular Space Invasion in Endometrial Cancer.

Background Pathologic lymphovascular space invasion (LVSI) is associated with poor outcome in endometrial cancer. Its relationship with tumor stiffness, which can be measured with use of MR elastography, has not been extensively explored. Purpose To assess whether MR elastography-based mechanical characteristics can aid in the noninvasive prediction of LVSI in patients with endometrial cancer. Materials and Methods This prospective study included consecutive adult patients with a suspected uterine tumor who underwent MRI and MR elastography between October 2022 and July 2023. A region of interest delineated on T2-weighted magnitude images was duplicated on MR elastography images and used to calculate c (stiffness in meters per second) and φ (viscosity in radians) values. Pathologic assessment of hysterectomy specimens for LVSI served as the reference standard. Data were compared between LVSI-positive and -negative groups with use of the Mann-Whitney U test. Multivariable logistic regression was used to determine variables associated with LVSI positivity and develop diagnostic models for predicting LVSI. Model performance was assessed with use of area under the receiver operating characteristic curve (AUC) and compared using the DeLong test. Results A total of 101 participants were included, 72 who were LVSI-negative (median age, 53 years [IQR, 48-62 years]) and 29 who were LVSI-positive (median age, 54 years [IQR, 49-60 years]). The tumor stiffness in the LVSI-positive group was higher than in the LVSI-negative group (median, 4.1 m/sec [IQR, 3.2-4.6 m/sec] vs 2.2 m/sec [IQR, 2.0-2.8 m/sec]; P < .001). Tumor volume, cancer antigen 125 level, and tumor stiffness were associated with LVSI positivity (adjusted odds ratio range, 1.01-9.06; P range, <.001-.04). The combined model (AUC, 0.93) showed better performance for predicting LVSI compared with clinical-radiologic model (AUC, 0.77; P = .003) and similar performance to the MR elastography-based model (AUC, 0.89; P = .06). Conclusion The addition of tumor stiffness as measured at MR elastography into a clinical-radiologic model improved prediction of LVSI in patients with endometrial cancer. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Ehman in this issue.

Parental mental disorders in patients with comorbid schizophrenia and obsessive-compulsive disorder: a nationwide family-link study.

Schizophrenia is highly comorbid with obsessive-compulsive disorder (OCD); both conditions share numerous pathophysiological etiologies. We, thus, examined the risk of mental disorders in the parents of probands with schizophrenia, OCD, or both conditions. Between 2001 and 2011, we enrolled a nationwide cohort of 69,813 patients with schizophrenia, OCD, or both. The control cohort included 698,130 individuals matched for demographics. Poisson regression models were employed to examine the risk of six mental disorders in their parents, including schizophrenia, bipolar disorder, depressive disorder, OCD, alcohol use disorder, and substance use disorder. We stratified patients into schizophrenia-only, OCD-only, and dual-diagnosis groups, and the dual-diagnosis group was further divided into schizophrenia-first, OCD-first, and simultaneously diagnosed groups. Compared with controls, the schizophrenia, OCD, and dual-diagnosis groups had higher risks for the six mental disorders in their parents (range of odds ratio [OR] 1.50-7.83). The sub-analysis of the dual-diagnosis group showed that the schizophrenia-first, OCD-first, and simultaneously diagnosed groups had higher odds for schizophrenia, bipolar disorder, depressive disorder, and OCD (range of OR 1.64-6.45) in their parents than the control group; the simultaneously diagnosed and OCD-first diagnosed groups had a higher odds of parental substance use disorder, while the schizophrenia-first diagnosed group had a higher odds of parental alcohol use disorder. The interrelationship between OCD and schizophrenia is linked to bipolar disorder, depressive disorder, alcohol use disorder, and substance use disorder. The results have implications for mental health policy and future research.

Autoimmune conditions and gastric cancer risk in a population-based study in the United Kingdom

BackgroundAlthough overall incidence of gastric cancer is decreasing, incidence has been increasing among young people in some Western countries. This trend may stem from the increase in autoimmune conditions.MethodsA nested case-control study of gastric cancer in UK Clinical Practice Research Datalink. Up to ten cancer-free controls were matched to cases by age and sex. Conditional logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for associations between analyzable autoimmune conditions (n = 34) and gastric cancer with Bonferroni correction. We evaluated associations between pernicious anaemia and other conditions. A meta-analysis of published prospective studies and ours was conducted.ResultsAmong 6586 cases (1156 cardia, 1104 non-cardia, and 4334 overlapping/unspecified tumours) and 65,687 controls, any autoimmune condition was associated with gastric cancer (OR = 1.10; 95% CI: 1.01–1.20). Individuals with pernicious anaemia had higher gastric cancer risk than those without (OR = 2.75; 2.19–3.44). Among controls, pernicious anaemia was associated with seven other conditions (OR range: 2.21–29.80). The pooled estimate for any autoimmune condition and gastric cancer was 1.17 (1.14–1.21; n = 47,126 cases).ConclusionAutoimmunity increases gastric cancer risk. Some autoimmune conditions may be indirectly associated with gastric cancer via pernicious anaemia. Pernicious anaemia could be considered for gastric cancer risk stratification and screening.

Decision-Making Confidence of Clinical Competency Committees for Entrustable Professional Activities

A competency-based assessment framework using entrustable professional activities (EPAs) was endorsed by the American Board of Surgery following a 2-year feasibility pilot study. Pilot study programs' clinical competency committees (CCCs) rated residents on EPA entrustment semiannually using this newly developed assessment tool, but factors associated with their decision-making are not yet known. To identify factors associated with variation in decision-making confidence of CCCs in EPA summative entrustment decisions. This cohort study used deidentified data from the EPA Pilot Study, with participating sites at 28 general surgery residency programs, prospectively collected from July 1, 2018, to June 30, 2020. Data were analyzed from September 27, 2022, to February 15, 2023. Microassessments of resident entrustment for pilot EPAs (gallbladder disease, inguinal hernia, right lower quadrant pain, trauma, and consultation) collected within the course of routine clinical care across four 6-month study cycles. Summative entrustment ratings were then determined by program CCCs for each study cycle. The primary outcome was CCC decision-making confidence rating (high, moderate, slight, or no confidence) for summative entrustment decisions, with a secondary outcome of number of EPA microassessments received per summative entrustment decision. Bivariate tests and mixed-effects regression modeling were used to evaluate factors associated with CCC confidence. Among 565 residents receiving at least 1 EPA microassessment, 1765 summative entrustment decisions were reported. Overall, 72.5% (1279 of 1765) of summative entrustment decisions were made with moderate or high confidence. Confidence ratings increased with increasing mean number of EPA microassessments, with 1.7 (95% CI, 1.4-2.0) at no confidence, 1.9 (95% CI, 1.7-2.1) at slight confidence, 2.9 (95% CI, 2.6-3.2) at moderate confidence, and 4.1 (95% CI, 3.8-4.4) at high confidence. Increasing number of EPA microassessments was associated with increased likelihood of higher CCC confidence for all except 1 EPA phase after controlling for program effects (odds ratio range: 1.21 [95% CI, 1.07-1.37] for intraoperative EPA-4 to 2.93 [95% CI, 1.64-5.85] for postoperative EPA-2); for preoperative EPA-3, there was no association. In this cohort study, the CCC confidence in EPA summative entrustment decisions increased as the number of EPA microassessments increased, and CCCs endorsed moderate to high confidence in most entrustment decisions. These findings provide early validity evidence for this novel assessment framework and may inform program practices as EPAs are implemented nationally.

Screening mammography frequency following dense breast notification among a predominantly Hispanic/Latina screening cohort.

Nationally legislated dense breast notification (DBN) informs women of their breast density (BD) and the impact of BD on breast cancer risk and detection, but consequences for screening participation are unclear. We evaluated the association of DBN in New York State (NYS)with subsequent screening mammography in a largely Hispanic/Latina cohort. Women aged 40-60 were surveyed in their preferred language (33% English, 67% Spanish) during screening mammography from 2016 to 2018. We used clinical BD classification from mammography records from 2013 (NYSDBN enactment) through enrollment (baseline) to create a 6-category variable capturing prior and new DBN receipt (sent only after clinically dense mammograms). We used this variable to compare the number of subsequent mammograms (0, 1, ≥ 2) from 10 to 30months after baseline using ordinal logistic regression. In a sample of 728 women (78% foreign-born, 72% Hispanic, 46% high school education or less), first-time screeners and women who received DBN for the first timeafter prior non-dense mammograms had significantly fewer screening mammograms within 30months of baseline (Odds Ratios range: 0.33 (95% Confidence Interval (CI) 0.12-0.85) to 0.38 (95% CI 0.17-0.82)) compared to women with prior mammography but no DBN. There were no differences in subsequent mammogram frequency between women with multiple DBN and those who never received DBN. Findings were consistent across age, language, health literacy, and educationgroups. Women receiving their first DBN after previous non-dense mammograms have lower mammography participation within 2.5years. DBN has limited influence on screening participation of first-time screeners and those with persistent dense mammograms.

Disease activity and widespread pain are main contributors to patient-reported global health in axial spondyloarthritis: an analysis of 6064 patients.

Global health (GH) and health-related quality of life are patient priorities in axial spondyloarthritis (axSpA). Our objective was to assess the relative importance of disease-related factors including disease activity, and patient-related factors including comorbidities, to explain GH in axSpA. Post hoc cross-sectional analyses of 4 sets (COMOSPA, PERSPA, COMEDSPA, and DESIR) of patients fulfilling ASAS criteria for axSpA. GH was assessed through the ASAS Health Index (ASAS-HI) or the EuroQoL-5D-3L (EQ-5D). Disease-related factors included disease activity (ASDAS, psoriasis, arthritis, enthesitis, and CRP), disease duration, diagnostic delay, bamboo spine, and treatment. Non-disease-related factors included sociodemographic characteristics, comorbidities and chronic widespread pain. Multivariable logistic and linear regressions and partial variances (R2) were applied to identify independent determinants of GH. In 6064 patients (range 284-2756 across datasets), mean age ranged 38.9-45.8years, 51-68% were male. GH was generally moderate: median ASAS-HI ranged 5.0-7.0. GH was explained by ASDAS (range of odds ratios, OR, 2.60-4.48) and chronic widespread pain (range of OR 2.19-8.39); other determinants included comorbidities and sociodemographic characteristics. Only 47-57% of the total variance in GH could be explained by the models; disease activity (partial variance, 16-26%) and chronic widespread pain (partial variance 12-15%) were the key contributing variables. A wide range of disease and non-disease-related variables usually collected in studies could only explain 47-57% of the variability in GH. Among these, disease activity and chronic widespread pain were most relevant and of similar magnitude of importance. These findings will be helpful for shared decision-making.

Using nephropathy as an outcome to determine the HbA1c diagnostic threshold for type 2 diabetes

ObjectiveThe hemoglobin A1c (HbA1c) diagnostic threshold for type 2 diabetes (T2D) of 6.5 % (48 mmol/mol) was based on the prevalence of retinopathy found in populations not known to have T2D. It is unclear if nephropathy has a similar HbA1c threshold, partly because it is a rarer complication of early diabetes. This cohort study investigated a very high diabetes prevalence population to determine if a better diagnostic HbA1c value can be established for predicting nephropathy rather than retinopathy in subjects without T2D. MethodsThe urine albumin:creatinine ratios (UACRs) of 2920 healthy individuals from the Qatar Biobank who had an HbA1c ≥ 5.6 %. were studied. Nephropathy was defined as a UACR≥30 mg/g and its prediction by HbA1c was assessed using cut-points ranging from 5.7 to 7.0 % to dichotomize high from low HbA1c. ResultsAlthough there was a significant trend for an increased prevalence of abnormal UACR as the HbA1c threshold increased (p < 0.01), significance was due mostly to subjects with HbA1c ≥ 7.0 % (53 mmol/mol). The odds ratios for abnormal UACR were similar over the 5.7–6.9 % HbA1c threshold range, with a narrow odds ratio range of 1.2–1.6. Utilizing area-under-receiver-operating characteristic curves, no HbA1c threshold <7.0 % was identified as the best predictor of nephropathy. ConclusionEven in a population with a high prevalence of known and unknown diabetes, no HbA1c threshold <7.0 % could be found predicting an increased prevalence of nephropathy. This means there is not a requirement to change the existing retinopathy-based HbA1c threshold of 6.5 % to also accommodate diabetes nephropathy risk.

Real-world evidence of constipation and laxative use in the Korean population with chronic kidney disease from a common data model

Constipation is a highly prevalent gastrointestinal disorder in patients with chronic kidney disease (CKD). However, our understanding of its epidemiology and management in CKD is limited. We aimed to explore real-world data on constipation and laxative use in patients with CKD in a nationwide population-based cohort from the Korean Health Insurance Review and Assessment-National Patient Sample database. This study analyzed retrospective health claims data in Korea from 2012 to 2017 that were transformed into the Observational Medical Outcomes Partnership Common Data Model. The pooled proportion of constipation diagnoses was 30.5% in all patients with CKD and 15.9%, 16.5%, 17.4%, 29.9%, and 43.3% in patients with CKD stages 1–5, respectively, suggesting a higher prevalence in advanced CKD. Patients receiving peritoneal dialysis or hemodialysis had the highest prevalence of constipation, while transplant recipients showed a prevalence comparable to that of patients with early CKD. Patients with CKD had a significantly higher risk of constipation than age- and sex-matched non-CKD individuals (range of odds ratio [OR]:1.66–1.90). Laxative prescribing patterns differed by CKD severity. Osmotic agents were prescribed in more than half of patients with advanced CKD, while magnesium salts and bulking agents were prescribed less frequently. The CKD patients with constipation were more likely to be prescribed constipation-inducing medications, including antipsychotic and neurological medications. Our findings provide real-world constipation and laxative prescription status in the Korean CKD population, revealing a significantly higher risk of constipation and different laxative prescribing patterns in patients with CKD.

Comparing pregnancy and pregnancy outcome rates between adolescents with and without pre-existing mental disorders.

There are limited population-based data on the role of mental disorders in adolescent pregnancy, despite the presence of mental disorders that may affect adolescents' desires and decisions to become pregnant. This study aimed to examine the relationship between specific types of mental disorders and pregnancy rates and outcome types among adolescents aged 13-19 years, using single-year age groups. We conducted a retrospective cohort study using data from the Merative™ MarketScan Research Databases. The study population consisted of females aged 13-19 years with continuous insurance enrollment for three consecutive calendar years between 2005 and 2015. Pregnancy incidence rates were calculated both overall and within the different categories of mental disorders. The presence of mental disorders, identified through diagnosis codes, was classified into 15 categories. Pregnancy and pregnancy outcome types were determined using diagnosis and procedure codes indicating the pregnancy status or outcome. To address potential over- or underestimations of mental disorder-specific pregnancy rates resulting from variations in age distribution across different mental disorder types, we applied age standardization using 2010 U.S. Census data. Finally, multivariable logistic regression models were used to examine the relationships between 15 specific types of mental disorders and pregnancy incidence rates, stratified by age. The age-standardized pregnancy rate among adolescents diagnosed with at least one mental disorder was 15.4 per 1,000 person-years, compared to 8.5 per 1,000 person-years among adolescents without a mental disorder diagnosis. Compared to pregnant adolescents without a mental disorder diagnosis, those with a mental disorder diagnosis had a slightly but significantly higher abortion rate (26.7% vs 23.8%, P-value < 0.001). Multivariable logistic regression models showed that substance use-related disorders had the highest odds ratios (ORs) for pregnancy incidence, ranging from 2.4 [95% confidence interval (CI): 2.1-2.7] to 4.5 [95% CI:2.1-9.5] across different age groups. Overall, bipolar disorders (OR range: 1.6 [95% CI:1.4-1.9]- 1.8 [95% CI: 1.7-2.0]), depressive disorders (OR range: 1.4 [95% CI: 1.3-1.5]- 2.7 [95% CI: 2.3-3.1]), alcohol-related disorders (OR range: 1.2 [95% CI: 1.1-1.4]- 14.5 [95% CI: 1.2-178.6]), and attention-deficit/conduct/disruptive behavior disorders (OR range: 1.1 [95% CI: 1.0-1.1]- 1.8 [95% CI: 1.1-3.0]) were also significantly associated with adolescent pregnancy, compared to adolescents without diagnosed mental disorders of the same age. This study emphasizes the elevated rates of pregnancy and pregnancy ending in abortion among adolescents diagnosed with mental disorders, and identifies the particular mental disorders associated with higher pregnancy rates.