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Nevin Manimala Statistics

Patient-Centered Lupus Erythematosus Mobile Apps: Systematic Search and Cross-Sectional Evaluation by Patients and Physicians

JMIR Mhealth Uhealth. 2026 May 29;14:e73019. doi: 10.2196/73019.

ABSTRACT

BACKGROUND: Lupus erythematosus (LE) is a chronic autoimmune disease that significantly impacts patients’ quality of life. Photosensitivity is a key impairment that severely limits the quality of life, especially in cutaneous lupus erythematosus (CLE), where exposure to sunlight can lead to rashes, exacerbations, and pain. In systemic lupus erythematosus (SLE), other manifestations such as joint pain, fatigue, and organ damage may contribute to decreased physical function and emotional distress. Mobile health apps (MHA) offer potential support for comprehensive disease management for the symptoms mentioned above. However, there is a lack of systematic analysis of available lupus management apps.

OBJECTIVE: This study aims to systematically identify publicly available German or English MHA for lupus management as well as to assess their quality by surveying both patients and physicians.

METHODS: A systematic search and assessment of German or English mobile apps for patients with lupus, available in the Google Play Store and Apple App Store, was conducted independently by two reviewers. The two apps that met all relevant criteria were then reviewed independently by seven physicians using the German Mobile Application Rating Scale (MARS) and the System Usability Scale (SUS). Subsequently, they were reviewed by five patients (three with SLE and two with CLE), using the user version of MARS (uMARS) and SUS. Additionally, the Affinity for Technology Interaction (ATI) scale was collected from both patients and physicians to evaluate the technical affinity in both groups.

RESULTS: In total, 29 apps were available on the Apple Store and 26 on the Google Store, with 18 apps being present and downloadable on both platforms. Of the 18 apps, 16 were excluded because they did not meet the inclusion and exclusion criteria. Only two apps, Lupus Log and Lupus Minder met all the required criteria and were included in the study. The mean MARS scores varied from 2.61/5 to 4.17/5 and mean SUS from 17.5/100 to 100/100 between physicians. The app with the highest mean overall MARS score was Lupus Log, which was rated with 3.91/5 on average by the physicians. Patients evaluated the app with a comparably mean uMARS score (3.95/5). Technical affinity, objectified by ATI, was higher in patients than physicians (3.9 vs 3.68).

CONCLUSIONS: Systematic identification and evaluation showed high-quality apps for patient-centered lupus MHA as indicated by MARS and uMARS scores greater than 3 for both Lupus Log and Lupus Minder.

PMID:42214032 | DOI:10.2196/73019

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Nevin Manimala Statistics

Physiological Responses to Occupational Heat Exposure Among Male Agricultural and Brick-Field Workers in Eastern India: A Biochemical Perspective

Am J Hum Biol. 2026 Jun;38(6):e70285. doi: 10.1002/ajhb.70285.

ABSTRACT

Occupational heat exposure is considered a major health concern for workers performing strenuous work during hot environmental conditions. This cross-sectional study aimed to assess the biochemical and physiological responses to occupational heat exposure among agricultural and brick-field workers working in hot environmental conditions in eastern India. A sub-sample of 20 agricultural workers and 20 brick-field workers was selected from the larger sample of 200 workers each to assess the physiological and biochemical responses to hot environmental conditions during the summer and winter seasons. Environmental heat exposure was measured using the time-weighted average Wet Bulb Globe Temperature (TWA-WBGT in °C). Venous blood samples were collected to measure the levels of sodium, potassium, and aldosterone. Active sweat gland responses were measured using the modified starch-iodine technique. Multivariate general linear models of repeated measures were used to measure the effect of the following factors: season, exposure day, and occupation. The multivariate analysis showed significant seasonal effects on serum potassium, sodium, and aldosterone levels, and that exposure day influenced only potassium, not occupation. The monitoring sessions showed normal physiological levels of electrolytes in both occupational groups. Sweat gland activation was also significantly higher during the summer season. TWA-WBGT values above 23°C-25°C are associated with a higher probability of hyponatremia, as revealed by the receiver operating characteristic (ROC) analysis. These findings highlight the physiological adjustments associated with occupational heat exposure and emphasize the importance of hydration and heat mitigation strategies for outdoor workers.

PMID:42214031 | DOI:10.1002/ajhb.70285

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Nevin Manimala Statistics

Efficacy of molecular adsorbent recirculating system albumin dialysis in the treatment of hepatic encephalopathy associated with liver failure: a meta-analysis

Eur J Gastroenterol Hepatol. 2026 May 7. doi: 10.1097/MEG.0000000000003214. Online ahead of print.

ABSTRACT

This meta-analysis aimed to systematically evaluate the efficacy (including improvement of biochemical indicators and clinical outcomes) and safety of the molecular adsorbent recirculating system (MARS) in the treatment of hepatic encephalopathy associated with liver failure. PubMed, EMBASE, Cochrane Library, Web of Science, CNKI, Wanfang, and VIP databases were systematically searched from inception to April 2024. Predefined inclusion criteria were used to assess study quality, and statistical analyses were performed using RevMan 5.4. Seven studies were included. Results showed that MARS significantly improved hemoglobin [standard mean difference (SMD): -0.81, 95% confidence interval (CI): -1.42 to -0.19, P = 0.01], creatinine (SMD: -0.46, 95% CI: -0.68 to -0.24, P < 0.0001), and international normalized ratio (INR) (SMD: -0.22, 95% CI: -0.43 to -0.01, P = 0.004). However, effects on albumin (SMD: 0.60, 95% CI: -0.22 to 1.41, P = 0.15) and bilirubin (SMD: -0.21, 95% CI: -0.78 to 0.35, P = 0.46) were NS. No significant association was observed between MARS treatment and increased risk of bleeding (risk ratio: 1.23, 95% CI: 0.83 to 1.81, P = 0.30) or infection (risk ratio: 1.23, 95% CI: 0.97 to 1.56, P = 0.09). In conclusion, preliminary analysis suggests that MARS may help improve creatinine and INR levels in hepatic encephalopathy patients without significantly increasing bleeding or infection risks. However, because of the limited number and suboptimal quality of included studies and presence of heterogeneity, current evidence is insufficient. Rigorously designed, adequately powered, high-quality randomized controlled trials are needed to validate the precise efficacy and safety of MARS in hepatic encephalopathy treatment.

PMID:42214012 | DOI:10.1097/MEG.0000000000003214

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Nevin Manimala Statistics

Sleep disturbances and respiratory dysfunction in amyotrophic lateral sclerosis

Amyotroph Lateral Scler Frontotemporal Degener. 2026 May 29:1-7. doi: 10.1080/21678421.2026.2671162. Online ahead of print.

ABSTRACT

OBJECTIVE: To investigate how respiratory dysfunction and site of onset influences changes in sleep architecture in people with ALS (pwALS).

METHODS: We conducted a retrospective observational study, analyzing demographic data, lung function tests, and polysomnography (PSG) measures. Descriptive statistics, correlation analyses, and survival analyses were performed.

RESULTS: Our cohort had 240 pwALS, 63% male, median age at onset 59.3 (IQR 16.5) years. Median time from onset to PSG was 27.5 (IQR 25) months. Most pwALS had spinal onset (79%). Spirometry at time of PSG showed a reduced Forced Vital Capacity (FVC) (58; (IQR 26) %). We saw a significant FVC decline (3.9; (IQR 4) % per month) in the months before PSG. The sleep quality assessment in pwALS revealed a reduced total sleep time (339; (IQR 144.7) minutes), diminished sleep efficiency (62.8; (IQR 26.5)%) and increased wake after sleep onset (172; (IQR 130.2) minutes) when compared to normal values of healthy age-matched adults. The spinal onset group had a higher number of arousals. In the multivariate linear regression model adjusted for age and sex, FVC is a significant predictor for sleep efficiency (β = 3.359, p = 0.0059). Spinal onset, a slower rate of FVC decline in the months preceding PSG and a preserved FVC (≥ 70%) at the time of PSG were associated with improved survival.

CONCLUSION: We observed substantial sleep disturbances in our cohort overall with substantially increased arousals in the spinal group. FVC is a significant predictor for sleep efficiency and the decline in FVC is linked to survival.

PMID:42214007 | DOI:10.1080/21678421.2026.2671162

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Nevin Manimala Statistics

New Framework for Interfacial Statistics: Exact n-Point Correlations of Gaussian Level Sets

Phys Rev Lett. 2026 May 15;136(19):196101. doi: 10.1103/mcf7-xfrd.

ABSTRACT

We derive exact analytical expressions for higher-order correlations of Gaussian level-set interfaces, establishing a direct link between bulk field statistics and interface geometry. This framework enables efficient reconstruction of disordered media, detailed modeling of Gaussian foams-structured, double-thresholded interfaces with tunable morphology-and analysis of memory-enhanced anisotropy reflecting directional persistence in the surface structure. These results open new possibilities for characterizing complex transport, guiding stochastic reconstructions, designing materials with desired properties, quantifying the information content of correlation functions, and modeling directional processes on irregular boundaries.

PMID:42213940 | DOI:10.1103/mcf7-xfrd

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Nevin Manimala Statistics

Lost in Retraining: Closed-Loop Learning and Model Collapse in Exponential Families

Phys Rev Lett. 2026 May 15;136(19):197301. doi: 10.1103/156q-3ngc.

ABSTRACT

Closed-loop learning is the process of repeatedly estimating a model from data generated from the model itself. It is receiving great attention due to the possibility that large neural network models may, in the future, be primarily trained with data generated by artificial neural networks themselves. We study this process for models that belong to exponential families, deriving equations of motion that govern the dynamics of the parameters. We show that maximum likelihood estimation of the parameters endows sufficient statistics with the martingale property and that as a result the process converges to absorbing states that amplify initial biases present in the data. However, we show that, for exponential families, this outcome may be prevented if, at each closed-loop retraining iteration, the data contains at least one data point generated from a ground truth model, by relying on maximum a posteriori estimation or by introducing regularization.

PMID:42213932 | DOI:10.1103/156q-3ngc

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Nevin Manimala Statistics

A case series of 21 adult cows with acute infectious bronchopneumonia: clinical, laboratory, and thoracic ultrasonographic findings

J Vet Intern Med. 2026 May 4;40(3):aalag097. doi: 10.1093/jvimsj/aalag097.

ABSTRACT

BACKGROUND: Acute infectious bronchopneumonia is widely reported in adult cattle, yet most descriptions focus on postmortem findings.

HYPOTHESIS/OBJECTIVES: To describe signalment, clinical, hematological, and ultrasonographic findings in affected cows, and to identify pathogens and clinical findings associated with outcome.

ANIMALS: Twenty-one cows from 11 farms.

METHODS: Prospective case series. All cows underwent clinical examination, thoracic ultrasonography, bronchoalveolar lavage for culture and PCR, and CBC. Thoracic ultrasonography was repeated to assess lesion dynamics after antibiotic treatment. Outcomes were classified as favorable (clinical recovery and maintained milk production) or unfavorable (death or reduced milk production leading to premature drying-off and early culling). Descriptive statistics were computed, and univariate analyses were performed to identify variables associated with outcome.

RESULTS: Mean age at inclusion was 47 months (range, 24-104). Cases occurred mainly in winter (10/21) and during the early postpartum period (10/21); 17/21 were dairy cows. Typical clinical signs associated with acute respiratory disease (coughing, wheezes, and crackles) were rarely observed. Thoracic ultrasonography revealed frequent consolidations (17/21) and pleural effusion (13/21), with lesion size decreasing over time. Mannheimia haemolytica and Pasteurella multocida were identified by PCR in bronchoalveolar lavage samples in 13/21 and 18/21 cases, respectively. Unfavorable outcomes (11/21) were associated with nasal discharge, left shift on CBC, reduced ruminal contractions, higher respiratory rate on day 0, and deeper consolidation lesions on days 0 and 5.

CONCLUSIONS AND CLINICAL IMPORTANCE: Ultrasonography is a valuable cow-side tool that supports diagnosis and provides key information on the clinical course of acute infectious bronchopneumonia in adult cows.

PMID:42207578 | DOI:10.1093/jvimsj/aalag097

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Nevin Manimala Statistics

Efficacy of an e-Learning Module on Endocrine Disruptors for Family Medicine Residents: Matched Before-And-After Cohort Study

JMIR Form Res. 2026 May 28;10:e89880. doi: 10.2196/89880.

ABSTRACT

BACKGROUND: Environmental factors account for 23% of global deaths and 25% of chronic diseases. In France, the Fourth National Environmental Health Plan prioritizes training health professionals in environmental health. Endocrine-disrupting chemicals (EDCs) are chemical substances that interfere with hormonal systems, contributing to a range of health effects. In 2024, the Primary Care and Environmental Health (PCEH) program at the University of Montpellier-Nîmes introduced an innovative e-learning module on EDCs for first-year family medicine residents.

OBJECTIVE: This study aimed to evaluate the impact of the PCEH e-learning module on participants’ satisfaction, knowledge, and self-reported behaviors regarding EDCs in household environments.

METHODS: This monocentric, matched before-and-after cohort study included all first-year family medicine residents at the University of Montpellier-Nîmes. The module, developed collaboratively by clinicians and educators, integrated interactive images, artificial intelligence-generated virtual rooms, short educational videos, games, and flash cards. Participants were assessed using pretraining and posttraining questionnaires administered immediately before and after the module. These questionnaires evaluated satisfaction (using a 5-point Likert scale), knowledge (using binary “yes” or “no” questions), and behaviors (using a 5-point Likert scale). Statistical analyses included the McNemar test for paired categorical variables and paired 2-tailed t tests for continuous variables, with a significance threshold set at a P value of less than .05.

RESULTS: This study aimed to evaluate the impact of an e-learning module on knowledge and behaviors related to endocrine disruptors. Our findings show significant improvements across all measured domains. Of 148 eligible residents, 78 (52.7%) completed both assessments over a 17-day period. Overall satisfaction was high (mean 4.0/5, SD 0.9), with positive ratings for the e-learning format (mean 4.1/5, SD 1.0) and module duration (mean 4.2/5, SD 1.0). Knowledge improved significantly, with a mean 55.56 (SD 13.54) increase in correct identification of EDCs across all substances (P<.001). Self-reported behaviors improved by an average of 2.13 points (95% CI 1.71-2.56) on the 5-point scale (P<.001), exceeding those reported in previous PCEH modules. Secondary outcomes showed high posttraining identification of at-risk populations and exposure locations, although recognition of some substances (eg, alkylphenols and phenoxyethanol) remained low.

CONCLUSIONS: This innovative e-learning module significantly improved residents’ knowledge and preventive behaviors related to EDCs. These findings support the integration of environmental health training into medical curricula and highlight the potential of scalable e-learning interventions to strengthen preventive competencies in primary care.

PMID:42207575 | DOI:10.2196/89880

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Nevin Manimala Statistics

Behçet’s syndrome incidence and prevalence in Sardinia: implications of a latent class analysis combining administrative and clinical data

Clin Exp Rheumatol. 2026 May 28. doi: 10.55563/clinexprheumatol/g80tlj. Online ahead of print.

ABSTRACT

OBJECTIVES: To estimate the epidemiology of Behçet’s syndrome (BS) in Sardinia using a combined administrative and clinical data latent class analysis (LCA).

METHODS: Cases with a diagnosis of BS were retrieved from 2006-2016 in the Hospital Discharge Records (HDRs), 2006-2016 Rare Diseases Regional Register (RDRR), and 2014-2016 in the Specialist Outpatient Database (SOD). Medical records from regional rheumatology clinics were reviewed and classified by the International Criteria for Behçet’s Disease (ICBD) and International Study Group (ISG) criteria. Statistical analysis involved cross-referencing databases and applying LCA to estimate the probability of a BS diagnosis. Prevalence and incidence of BS in Sardinia were calculated, as well as the sensitivity and specificity of each database source.

RESULTS: Administrative databases analysis retrieved 271 unique cases. A medical record review of 133 patients identified 116 BS cases, of which 107 matched administrative records and 9 were new. After excluding two deaths, 280 cases were considered for analysis (164 administrative-only, 107 mixed, 9 clinical-only). Using ICBD, the LCA confirmed 193 (68.9%) as BS cases (68.3% female, mean age 47). This yielded a 2016 Sardinian BS prevalence of 11.7 per 100,000 inhabitants (15.7) for women and 7.6 for men), with annual incidence rates ranging from 0.24 to 0.48 per 100,000 inhabitants (2014-2016). Prevalence and incidence were lower using the ISG criteria. Database sensitivity varies from 40.6% to 70.5%, while specificity ranges from 16.3% to 99.0%.

CONCLUSIONS: BS in Sardinia is a rare disease. Relying on a single data source to estimate.

PMID:42207566 | DOI:10.55563/clinexprheumatol/g80tlj

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Association of the rs7574865 polymorphism in the signal transducer and activator of transcription 4 gene with rheumatoid arthritis in Moroccan patients

Clin Exp Rheumatol. 2026 May 21. doi: 10.55563/clinexprheumatol/mf8noj. Online ahead of print.

ABSTRACT

OBJECTIVES: Rheumatoid arthritis (RA) is a complex autoimmune disease with a strong genetic component. The STAT4 rs7574865 (G>T) variant has been associated with RA in various populations, but data from North Africa remain limited. This study aimed to investigate the association of rs7574865 with RA susceptibility in Moroccan patients.

METHODS: A case-control study was conducted including 87 Moroccan patients with severe RA and 69 healthy controls. Genotyping of rs7574865 was performed using TaqMan assays. Serum levels of anti-CCP2 and IgM-RF were measured by ELISA. Associations between genotypes, alleles, demographic, clinical, and serological features were analysed.

RESULTS: The GT genotype was more frequent in patients than in controls, and the T allele showed higher prevalence in the RA group. A significant genotypic association with RA risk was observed, while the TT genotype was absent in both groups. No associations were detected with demographic or general clinical characteristics. However, a significant clinical association was observed with anti-CCP2 status. The GT genotype also showed a noticeable trend in RF-positive and anti-CCP2-negative patients compared with controls, though differences between serological subgroups within patients were not statistically significant.

CONCLUSIONS: These findings provide the first evidence from Morocco that the STAT4 rs7574865 variant may contribute to RA susceptibility. While its effect appears moderate, the study highlights the importance of including North African populations in genetic studies of RA.

PMID:42207556 | DOI:10.55563/clinexprheumatol/mf8noj