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Nevin Manimala Statistics

Impact of cataract surgery on a delirium-related electroencephalography index in older adults

Br J Ophthalmol. 2026 Mar 23:bjo-2025-329212. doi: 10.1136/bjo-2025-329212. Online ahead of print.

ABSTRACT

The bispectral electroencephalography (BSEEG) method is a simple one-channel quantitative electroencephalography approach that yields a single index, with higher scores previously associated with more severe delirium in older adults. We prospectively measured BSEEG scores in 21 patients over 60 years old before and 1 month after cataract surgery. BSEEG scores significantly decreased after surgery (p=0.001), and this decrease significantly correlated with improvement in best-corrected visual acuity (r=0.52; p=0.02). Improved visual function after cataract surgery was associated with lower BSEEG scores.

PMID:41871919 | DOI:10.1136/bjo-2025-329212

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Multiomic characterisation of the clinical efficacy of guselkumab induction therapy in ulcerative colitis

BMJ Open Gastroenterol. 2026 Mar 23;13(1):e002153. doi: 10.1136/bmjgast-2025-002153.

ABSTRACT

OBJECTIVE: Selective inhibition of interleukin (IL)-23 through antagonism of the IL-23p19 subunit has demonstrated clinical efficacy in inflammatory bowel disease, but the molecular changes underlying the efficacy outcomes have not yet been described. Here, we provide a detailed evaluation of the cellular and molecular changes associated with guselkumab treatment in patients with moderately to severely active ulcerative colitis (UC) from the QUASAR Phase IIb induction study.

METHODS: In this double-blind, placebo-controlled, dose-ranging induction study, patients (n=313) were randomised (1:1:1) to receive intravenous guselkumab 200 or 400 mg or placebo at weeks 0, 4, and 8. Colon biopsy samples were collected at weeks 0 and 12, enabling molecular profiling by bulk RNA sequencing (RNA-seq, n=257), single-cell RNA sequencing (n=52), and flow cytometry (n=30). Serum proteomic profiling was also performed at weeks 0, 4, and 12 (n=302).

RESULTS: Guselkumab treatment significantly reduced pro-inflammatory serum proteins by week 4 with continued decline through week 12, compared with placebo. Unsupervised analysis of tissue gene modules revealed significant changes in transcriptional states related to pro-inflammatory and epithelial repair pathways, which were most pronounced in patients who achieved histological-endoscopic mucosal improvement (HEMI) at week 12, an important tissue-based end point. Single-cell analyses supported a decrease in the cellular abundance of pro-inflammatory and an increase in mucosal cell types in tissue following treatment.

CONCLUSION: This analysis of guselkumab in UC demonstrated changes in key pathways and cell types that are associated with achieving important clinical end points including HEMI at week 12.

TRIAL REGISTRATION NUMBER: NCT04033445.

PMID:41871904 | DOI:10.1136/bmjgast-2025-002153

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Severe Obesity Management in a Large Academic Health System: A Retrospective Evaluation of Metabolic Bariatric Surgery Counselling Practices

Clin Obes. 2026 Apr;16(2):e70077. doi: 10.1111/cob.70077.

ABSTRACT

Metabolic and bariatric surgery (MBS) is an effective treatment for severe obesity but remains substantially underutilized. Limited data exist on outpatient counselling patterns preceding surgical uptake. Using electronic health record data, we conducted a 10-year retrospective cohort study of adults with body mass index ≥ 40 kg/m2. The primary outcome was documentation of the MBS discussion. Secondary outcomes included MBS receipt and demographic factors associated with documented discussion. Among 60 574 eligible patients, only 7.6% had documented MBS discussion. Overall, 1.2% underwent MBS. Surgery occurred in 12.1% of patients with documented discussion compared with 0.3% without discussion. Patients with documented discussion were younger (median, 42 vs. 47 years), had higher BMI (median, 46.8 vs. 42.0 kg/m2), and were more often female. Eligible women were more likely than men to have documented discussion (8.7% vs. 5.5%). Black patients had higher discussion rates than White patients, despite known downstream disparities in MBS utilization. Documented MBS discussion is rare but represents a critical inflection point in surgical uptake. Demographic differences in counselling suggest clinician- and system-level factors influence access before referral, highlighting outpatient counselling as a key target to improve equitable MBS utilization.

PMID:41871890 | DOI:10.1111/cob.70077

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Comparing TA-TAVR and SAVR in severe aortic regurgitation: outcomes and valve haemodynamics

Open Heart. 2026 Mar 23;13(1):e003969. doi: 10.1136/openhrt-2026-003969.

ABSTRACT

BACKGROUND: Transcatheter aortic valve replacement (TAVR) has already been recommended for some high-risk patients with aortic valve regurgitation, but there is still a lack of evidence regarding its early-term and medium-term safety and effectiveness compared with surgical aortic valve replacement (SAVR).

METHODS: This retrospective study included patients who underwent bioprosthetic aortic valve replacement for severe aortic regurgitation (AR) at a single centre between January 2018 and December 2023. All patients in the TAVR group received the J-Valve system via transapical (TA) approach. Propensity score matching (PSM) was used to balance the groups. The primary endpoint was 2-year all-cause mortality. Secondary endpoints included other clinical events, left ventricular (LV) function recovery and prosthesis haemodynamics, assessed by transthoracic echocardiography.

RESULTS: A total of 369 patients (median age 68 years, 26.6% female) were enrolled. Of these, 256 underwent TA-TAVR and 113 underwent SAVR. After 1:1 PSM, 76 matched pairs were included. There were no statistical differences between the groups in all-cause mortality, cardiovascular mortality, stroke, heart failure rehospitalisation, permanent pacemaker implantation or moderate to severe paravalvular leakage at 30 days or 2 years. Before PSM, left ventricular ejection fraction (LVEF) improved in the TAVR group (57% (IQR: 45-63%) vs 61% (IQR: 55-65%), p<0.001), with no significant change in the SAVR group (61% (IQR: 55-65%) vs 62% (IQR: 59-66%), p>0.05). After PSM, LVEF improvement was comparable between groups (+4.0% (IQR: -1.5 to 10.0) vs +2.0% (IQR: -3.0 to 9.5), p=0.430). Haemodynamics was superior in the TAVR group (p<0.001), while regression of LV dimensions was greater in the SAVR group.

CONCLUSION: In patients with severe AR, using the J-Valve for TA-TAVR showed comparable outcomes to SAVR regarding mortality and other clinical events. TAVR provided superior valve haemodynamics and was an effective treatment that significantly improved LV function, especially in high-risk patients.

PMID:41871886 | DOI:10.1136/openhrt-2026-003969

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Identifying postpartum depression subtypes using natural language processing and clinical notes

BMJ Ment Health. 2026 Mar 23;29(1):e302066. doi: 10.1136/bmjment-2025-302066.

ABSTRACT

BACKGROUND: Postpartum depression (PPD) remains vastly underdiagnosed, and its clinical heterogeneity is not well understood. Diagnosis codes in electronic health records (EHRs) alone may not identify all PPD cases, highlighting a need for novel detection approaches.

OBJECTIVE: To develop a transformer-based natural language processing (NLP) method to identify patients with PPD from clinical notes in EHRs and to examine demographic and clinical heterogeneity among identified cases.

METHODS: Clinical notes from 64 426 patients who gave birth between 2010 and 2023 at a major US academic medical centre were used to develop and evaluate the NLP method. By augmenting the NLP output with International Classification of Diseases (ICD-9/10) diagnosis codes, three subgroups of individuals with PPD were identified: patients identified by ICD only (PPD-ICD), NLP only (PPD-NLP) and both ICD and NLP (PPD-BOTH). Demographics, mental health and substance use disorders (SUDs), antidepressant treatment, behavioural therapy and healthcare utilisation were compared across PPD subgroups and a non-PPD control group. Longitudinal associations of depression and anxiety were also examined.

FINDINGS: The NLP method identified an additional 29.6% of patients whose clinical notes indicated symptoms suggestive of PPD but who lacked an ICD diagnosis. Significant variation was observed among PPD subgroups in comorbid psychiatric disorders, SUDs, treatment patterns and healthcare utilisation. During the 24 months post-delivery, the PPD-BOTH subgroup exhibited the highest rates of anxiety disorder diagnoses (vs PPD-ICD: OR 1.69, 95% CI 1.49 to 1.93; vs PPD-NLP: OR 4.46, 95% CI 3.82 to 5.22), antidepressant prescriptions (vs PPD-ICD: OR 1.95, 95% CI 1.71 to 2.22; vs PPD-NLP: OR 5.98, 95% CI 5.11 to 7.01) and mental health outpatient visits (vs PPD-ICD: OR 1.45, 95% CI 1.24 to 1.7; vs PPD-NLP: OR 4.94, 95% CI 3.9 to 6.31), suggesting higher symptom severity (all p<0.001). Comorbid depression and anxiety diagnoses were most prevalent during the postpartum period and declined over time.

CONCLUSIONS: Augmenting NLP-based identification with ICD codes yielded more individuals with distinct demographic and clinical profiles, demonstrating the method’s ability to improve case detection and characterise heterogeneity.

CLINICAL IMPLICATIONS: Given that PPD is underdiagnosed and undertreated, this novel approach demonstrates further potential for NLP in healthcare settings to capture more cases, enabling earlier and more personalised interventions that reach patients who may otherwise be overlooked.

PMID:41871883 | DOI:10.1136/bmjment-2025-302066

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Delays in seeking and reaching care for injured patients in four low-income and middle-income countries: a cohort study

BMJ Glob Health. 2026 Mar 23;11(3):e021659. doi: 10.1136/bmjgh-2025-021659.

ABSTRACT

BACKGROUND: Injury burden is high in low-income and middle-income countries (LMICs). Delays in accessing definitive care after injury beyond the ‘golden’ hour or 2 hours worsen outcomes. We examined delays in accessing definitive healthcare after injury and whether their magnitude and associations differ across four diverse LMICs: Ghana, Pakistan, Rwanda and South Africa.

METHODS: Across 19 hospitals providing definitive care for injuries in urban or rural settings, we enrolled patients with moderate to severe injuries who were hospitalised for at least 12 hours. The time between injury and admission for definitive care and perceived reasons for delays in seeking and reaching care were captured. The association between more than 1-hour delay to reaching definitive care and age, sex, education, wealth, injury mechanism or severity, prior healthcare encounters, ambulance transport, the hospital type and catchment area was evaluated in a multivariable model. Patients’ perceived reasons for delay in seeking and reaching care were described. Findings were compared between countries.

RESULT: Data on delays were available for 8331 patients, of whom 57.3% experienced delays exceeding 1 hour. Prior healthcare encounter before definitive care showed the strongest association with delay (OR: 8.44, 95% CI 7.41 to 9.60). Delays were associated with older age, less education and wealth, greater injury severity, urban (vs rural) catchment area, ambulance transport, injury mechanism due to falls or fire (vs road traffic collision) and tertiary (vs secondary) hospital admission in the adjusted model. Ghana and Rwanda showed the lowest and highest odds of delays compared with South Africa, respectively. Only 18.8% of patients perceived being delayed, most citing unawareness of urgency and ambulance unavailability as reasons.

CONCLUSIONS: Most injured patients do not arrive at definitive care within the critical golden hour, with delays inequitably affecting the population. Improvements in pathways to care are needed to reduce delays across healthcare systems.

PMID:41871872 | DOI:10.1136/bmjgh-2025-021659

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Engineering framework for curiosity-driven and humble AI in clinical decision support

BMJ Health Care Inform. 2026 Mar 23;33(1):e101877. doi: 10.1136/bmjhci-2025-101877.

ABSTRACT

We present BODHI (Balanced, Open-minded, Diagnostic, Humble, and Inquisitive), an engineering framework for curiosity driven and humble clinical decision support artificial intelligence (AI) systems. Despite growing capabilities, large language models (LLMs) often express inappropriate confidence, conflating statistical pattern recognition with genuine medical understanding. BODHI addresses this through a dual reflective architecture that: (1) decomposes epistemic uncertainty into task specific dimensions, and (2) constrains model responses using virtue based stance rules derived from a Virtue Activation Matrix. We validate the framework through controlled evaluation on 200 clinical vignettes from HealthBench Hard, assessing GPT-4o-mini and GPT-4.1-mini across 5 random seeds (2000 total observations). Statistical analysis included bootstrap resampling, paired t tests, and effect size computation. BODHI improved overall clinical response quality (GPT-4.1-mini: +16.6 pp, p<0.0001, Cohen’s d=11.56; GPT-4o-mini: +2.2 pp, p<0.0001, Cohen’s d=1.56) and achieved very large effect sizes on curiosity (context seeking rate: Cohen’s d=16.38 and 19.54) and humility (hedging: d=5.80 for GPT-4.1-mini) metrics. Crucially, 97.3% of GPT-4.1-mini responses and 73.5% of GPT-4o-mini responses included appropriate clarifying questions, compared with 7.8% and 0.0% at baseline, demonstrating the framework’s effectiveness in eliciting information gathering behaviour. Findings suggest LLMs can be reliably constrained to operate within epistemic boundaries when provided with structured uncertainty decomposition and virtue aligned response rules, offering a pathway towards safer clinical AI deployment.

PMID:41871866 | DOI:10.1136/bmjhci-2025-101877

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History of Child Maltreatment and Suicide Risk Among Individuals Who Have Experienced Intimate Partner Violence: Examining the Role of Posttraumatic Stress Disorder Symptoms

Psychol Rep. 2026 Mar 23:332941261436723. doi: 10.1177/00332941261436723. Online ahead of print.

ABSTRACT

Survivors of intimate partner violence (IPV) experience significant psychological consequences including high rates of suicidal thoughts and behaviors. A history of child maltreatment (CM) is also prevalent among IPV survivors and has been identified as a significant risk factor for suicide. Posttraumatic stress disorder (PTSD) symptoms have been proposed as a mechanism by which CM leads to suicide risk; however, this association has yet to be evaluated in IPV survivors. In the current study, we tested whether CM was associated with suicide risk among IPV survivors and whether this association was statistically explained by PTSD symptoms. A total of 122 adult survivors of IPV completed a survey containing measures of CM, IPV victimization experiences, PTSD symptoms, and suicide risk. Five mediation analyses examined direct and indirect effects of each type of CM (i.e., physical abuse, emotional abuse, sexual abuse, physical neglect, and emotional neglect) on suicide risk. Across all models, IPV victimization was associated with greater PTSD symptoms. All abuse subtypes of CM were associated with greater PTSD symptoms while the neglect subtypes of CM were not associated with PTSD symptoms. There was no direct effect of any type of CM on suicide risk; however, we found that greater experiences of childhood emotional abuse, physical abuse, and sexual abuse were associated with greater suicide risk via greater PTSD symptoms. These findings can be used to better understand responses to CM and IPV and identify pathways leading to suicide, which is essential for developing targeted interventions that correspond with risk profiles.

PMID:41871370 | DOI:10.1177/00332941261436723

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MADRe: Strain-level Metagenomic Classification Through Assembly-Driven Database Reduction

Gigascience. 2026 Mar 23:giag030. doi: 10.1093/gigascience/giag030. Online ahead of print.

ABSTRACT

Strain-level metagenomic classification is essential for understanding microbial diversity and functional potential, yet remains challenging, particularly when sample composition is unknown and reference databases are large and redundant. Here we present MADRe, a modular and scalable pipeline for long-read strain-level metagenomic classification based on Metagenome Assembly-Driven Database Reduction. Beyond system-level integration, MADRe introduces statistical strategies that leverage assembly-derived genomic context to guide database reduction and probabilistic read reassignment. Specifically, it combines long-read metagenome assembly, contig-to-reference reassignment using an expectation-maximization framework for reference reduction, and probabilistic read mapping reassignment on a reduced database to achieve sensitive and precise strain-level classification. We extensively evaluated MADRe on simulated datasets, mock communities, and a real anaerobic digester sludge metagenome. Across diverse similarity and coverage conditions, MADRe consistently improves precision by reducing false-positive strain detections. MADRe’s design allows users to apply either the database reduction or read classification step individually. Using only the read classification step shows results on par with other tested tools. MADRe is open source and publicly available at https://github.com/lbcb-sci/MADRe.

PMID:41871361 | DOI:10.1093/gigascience/giag030

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Timing of Pegfilgrastim Administration and Pegfilgrastim-Induced Bone Pain : A Prospective, Randomized, Phase 3 Trial

Ann Intern Med. 2026 Mar 24. doi: 10.7326/ANNALS-25-02600. Online ahead of print.

ABSTRACT

BACKGROUND: Pegfilgrastim-induced bone pain (PIBP) is common and lacks effective treatment.

OBJECTIVE: To determine whether there is an association between the timing of pegfilgrastim administration and PIBP.

DESIGN: Three-arm randomized controlled trial. (ClinicalTrials.gov: NCT05841186).

SETTING: A tertiary A-level hospital.

PATIENTS: Patients with I to III stage breast cancer who were naive to chemotherapy.

INTERVENTION: Patients were randomly allocated in a 1:1:1 ratio to the 24-hour, 48-hour, or 72-hour group based on the timing of pegfilgrastim administration postchemotherapy.

MEASUREMENTS: The primary end point was the area under the curve (AUC) of the daily worst bone pain score (assessed using the “worst pain” question from the Brief Pain Inventory, a 0 to 10 numerical rating scale [NRS]) for 5 consecutive days in the first chemotherapy cycle. Secondary end points included the incidence of severe bone pain (>5 on the NRS), neutropenia, and febrile neutropenia (FN).

RESULTS: The intention-to-treat analyses included 159 patients, with 53 in each group. For the first cycle, in the 72-hour group, the mean AUC exhibited a statistically significant reduction from 12.74 in the 24-hour group and 14.20 in the 48-hour group to 6.05 (all P < 0.001). Furthermore, the incidence of severe bone pain also declined significantly from 58.5% in the 24-hour group and 66.0% in the 48-hour group to 22.6% in the 72-hour group (all P < 0.001). There was no substantial difference in the incidence of neutropenia among groups, and no patients developed FN.

LIMITATION: Open label, single center, and relatively small sample size.

CONCLUSION: Administration of pegfilgrastim 72 hours postchemotherapy reduced PIBP compared with 24- and 48-hour administration and did not seem to be associated with higher rates of neutropenia or FN.

PRIMARY FUNDING SOURCE: National Natural Science Foundation of China.

PMID:41871353 | DOI:10.7326/ANNALS-25-02600