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Nevin Manimala Statistics

Antidepressant Intake and Recovery of Dysphagia After Acute Ischemic Stroke

Stroke. 2026 Feb 13. doi: 10.1161/STROKEAHA.125.054073. Online ahead of print.

ABSTRACT

BACKGROUND: Poststroke dysphagia is associated with poor functional recovery and psychological consequences, including depression and fatigue, which may impede successful rehabilitation. Here, we investigate whether antidepressants may improve dysphagia recovery after acute ischemic stroke.

METHODS: In this prospective cohort study, patients with acute ischemic stroke (aged ≥18 years; consecutively enrolled in the STROKE-CARD trial 2014 to 2019 and registry 2020 to 2023 in Innsbruck, Austria) were examined for poststroke dysphagia (by standardized clinical and instrumental examinations) and antidepressant intake at hospital admission, discharge, and inpatient 3-month follow-up. The outcome was full oral diet resumption 3 months poststroke. Associations were analyzed using multivariable logistic regression and are presented as adjusted odds ratios, adjusting for age, sex, stroke severity, dysphagia severity, depression severity, stroke localization, thrombolysis, cognitive impairment, functional disability before stroke and at hospital discharge, and study type.

RESULTS: Poststroke dysphagia affected 380 (18.6%) of the total cohort of 2046 patients at hospital admission (mean age, 72.7±14.1 years; 37.8% females) and persisted in 290 (14.7%) and 95 (4.6%) patients until hospital discharge and 3-month follow-up, respectively. Among the 290 patients with persistent dysphagia at discharge included in the outcome analysis, antidepressant intake increased from 4.8% before stroke to 27.6% at hospital discharge and 49.0% at 3 months (P<0.001). A total of 195 (67.2%) of 290 patients with persistent dysphagia regained full oral diet by 3 months, with significantly higher recovery rates in those who were discharged on antidepressants (78.8% versus 62.9%; P=0.010). Antidepressant intake at hospital discharge was independently associated with improved dysphagia recovery at 3 months (adjusted odds ratio, 2.98 [95% CI, 1.51-5.87]; P=0.002).

CONCLUSIONS: Antidepressant intake was associated with better dysphagia recovery after acute ischemic stroke. As these findings are observational, randomized trials are required to clarify whether antidepressants can support dysphagia rehabilitation.

PMID:41685445 | DOI:10.1161/STROKEAHA.125.054073

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Nevin Manimala Statistics

Cerebrovascular regulation dynamics and Alzheimer’s neuroimaging phenotypes

Alzheimers Dement. 2026 Feb;22(2):e71146. doi: 10.1002/alz.71146.

ABSTRACT

INTRODUCTION: Cerebrovascular dysfunction may contribute to Alzheimer’s disease (AD) pathogenesis. We examined how novel cerebral hemodynamic markers relate to neuroimaging phenotypes associated with AD dementia in cognitively impaired and unimpaired older adults.

METHODS: Statistical hemodynamic indices were computed for each participant from stochastic dynamic models relating resting-state spontaneous arterial blood pressure and end-tidal CO2 fluctuations to transcranial doppler-derived blood velocity and near infrared spectroscopy-derived cortical tissue oxygenation. Linear regressions related these hemodynamic indices to hippocampal volume, WMH volume, cortical thickness in an AD-signature region, and brain amyloid burden measured by PET.

RESULTS: Higher hemodynamic indices, indicating proximity to normal cerebrovascular function correlated with neuroimaging phenotypes typically associated with better cognitive status: greater hippocampal volume and lower amyloid burden.

DISCUSSION: Our findings provide further support for the role of cerebrovascular dysfunction in AD pathogenesis and for the potential clinical utility of model-based indices of cerebral hemodynamics.

PMID:41685442 | DOI:10.1002/alz.71146

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Nevin Manimala Statistics

Same Day Discharge After Prostatectomy for Prostate Cancer and Readmissions

Cancer Med. 2026 Feb;15(2):e71564. doi: 10.1002/cam4.71564.

ABSTRACT

BACKGROUND: Same-day discharge following radical prostatectomy has become increasingly common, with single-institution series suggesting it reduces healthcare costs without increasing adverse events. However, this practice has not been studied nationally, outside of specialized centers. This study assesses 30-day readmissions, observation stays, and emergency department visits among men with prostate cancer undergoing prostatectomy.

STUDY DESIGN: We used national Medicare data to identify men undergoing prostatectomy for prostate cancer between 2016 and 2021. We focused on patients discharged either the same day or the day after surgery to include only those with an uneventful postoperative course presumably eligible for same-day discharge. We used multivariable logistic regression to measure relationships between discharge day (same-day vs. next-day) and 30-day readmissions, adjusted for patient factors. We also assessed the association between the day of discharge and a secondary outcome, a composite of readmission, observation stay, or emergency department visits within 30 days.

RESULTS: Our cohort included 528 men discharged the same day and 11,513 discharged the next day. By 2021, same-day discharges rose to 9.2%. Same-day discharge was associated with an almost two-fold increase in the odds of a readmission within 30 days (adjusted OR: 1.93; 95% CI 1.35-2.76; p < 0.01). However, the odds of an acute care event, measured by a composite of any readmission, observation stay, or emergency department visit, were similar in both groups (adjusted OR: 1.16; 95% CI 0.90-1.50; p = 0.27).

CONCLUSIONS: Same-day discharges after prostatectomy have increased substantially but were associated with a two-fold increase in odds of a readmission within 30 days. However, global adverse events, as measured by our composite outcome, were similar.

PMID:41685432 | DOI:10.1002/cam4.71564

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Nevin Manimala Statistics

TropMol: a cloud-based web tool for virtual screening and early-stage prediction of acetylcholinesterase inhibitors using machine learning

Org Biomol Chem. 2026 Feb 13. doi: 10.1039/d6ob00094k. Online ahead of print.

ABSTRACT

Alzheimer’s disease (AD) is the most common type of dementia, accounting for at least two-thirds of dementia cases in people aged 65 and older. Numerous approaches have been studied for the treatment of this disease, including the cholinergic hypothesis. Acetylcholinesterase (AChE) is the most promising target studied within the cholinergic hypothesis for the treatment of AD. Therefore, it is necessary to develop predictive models for the identification of AChE inhibitors. Thus, general drug design models can assist chemical synthesis groups and biochemical testing laboratories by enabling virtual screening and drug design. In this work, the objective is to build a generic molecular screening prediction model for public, online and free use based on pIC50, using a random forest model (RF). For this, a dataset with approximately 16 000 compounds and 134 classes of descriptors was used, resulting in more than 2 000 000 calculated descriptors. Other algorithms were studied, such as gradient boosting, XGBoost, LightGBM, and RF with descriptors from principal component analysis (PCA), but none demonstrated significantly superior results compared to the RF model. The final model studied obtained an R2 = 0.76 with a 15% test set and obtained an R2 = 0.73 with a 30% test set, with rigorous Y-scrambling confirming the absence of chance correlation. External validation performed on an independent test set comprising 10% of the data yielded an R2 of 0.77 and an RMSE of 0.67, statistically confirming that the model retains high predictive accuracy for novel chemical scaffolds and is free from overfitting. It is suggested that compounds containing oxime groups (RR’C = NOH) and those with high structural branching (higher Balaban index) tend to be less potent AChE inhibitors (negative correlation). In addition, some descriptors indicate that electronic charge distribution, molecular surface area, and hydrophobicity play important roles in correlating with the inhibitory activity (pIC50) of the compounds. The presence of linear alkane chains also seems relevant to activity (positive correlation and greater importance). The data and models are available at the following link: (https://colab.research.google.com/drive/1gMcuXAsrqTIBMNnsCEWG9xfkK7aaZAbn?usp=sharing).

PMID:41685429 | DOI:10.1039/d6ob00094k

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Nevin Manimala Statistics

Depression Rates Among Rheumatologists From Latin America: A PANLAR Online Survey

J Clin Rheumatol. 2026 Feb 13. doi: 10.1097/RHU.0000000000002324. Online ahead of print.

ABSTRACT

BACKGROUND/OBJECTIVE: Depression among physicians is a growing concern due to its impact on personal health and clinical performance. This study aimed to determine the prevalence of depressive symptoms in rheumatologists from Latin America and identify demographic, professional, and psychosocial factors associated with depressive symptoms.

METHODS: This is a cross-sectional study between August and November 2020, using a multilingual (Spanish and Portuguese) online survey distributed by national rheumatology societies under the Pan-American League of Associations for Rheumatology. The survey included the Patient Health Questionnaire (PHQ-9) to assess depression and the Maslach Burnout Inventory for burnout. Depression was defined as a PHQ-9 score ≥10. Descriptive statistics, χ2, t tests, and multivariate logistic regression were used for analysis. A total of 297 rheumatologists over the age of 25 actively practicing in 15 Latin American countries were included.

RESULTS: Of 297 participants, 15.8% had moderate to severe depression, and 33% had mild symptoms. Burnout affected 56.6%. Depression was more prevalent among younger physicians, those with fewer years in practice, lower income (≤$25,000/year), shorter vacation time, and those experiencing burnout. In multivariate analysis, burnout and lower happiness were independently associated with depression.

CONCLUSIONS: Nearly half of Latin American rheumatologists reported depressive symptoms. Burnout and psychosocial stressors were major contributors. Early identification and institutional strategies to promote well-being and mental health are critical.

PMID:41685422 | DOI:10.1097/RHU.0000000000002324

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Nevin Manimala Statistics

Chronotype and sleep duration in relation to leukaemia subtypes: a two-sample Mendelian randomization analysis

Hematology. 2026 Dec;31(1):2626211. doi: 10.1080/16078454.2026.2626211. Epub 2026 Feb 13.

ABSTRACT

OBJECTIVES: Several observational studies have suggested an association between sleep traits and leukaemia. This study aimed to determine the causal association between sleep traits and leukaemia using two-sample Mendelian Randomization (MR) analysis.

METHODS: Publicly available databases were used to retrieve summary statistics from genome-wide association studies (GWAS) related to sleep traits (UK BioBank) and leukaemia (FinnGen database). Inverse Variance Weighted (IVW) method was utilized for the primary MR analysis. Subsequently, we conducted a reverse MR analysis. Sensitivity analyses and statistical power calculation validated the robustness of the research findings. The Steiger directionality test was employed to ascertain the direction of causality.

RESULTS: Univariable MR identified nominal associations between chronotype and higher risk of acute lymphoblastic leukaemia (OR = 2.15, P = 0.014) and chronic myeloid leukaemia (OR = 1.27, P = 0.016), as well as between short sleep duration and lower lymphoid leukaemia risk (OR = 0.06, P = 0.035). However, none remained significant after FDR correction. Sensitivity analyses revealed no evidence of heterogeneity or horizontal pleiotropy. Adjusting for smoking and BMI in multivariable MR abolished all associations. Colocalization suggested shared genetic variants, but reverse MR indicated a significant effect only from acute lymphoblastic leukaemia to chronotype (PFDR = 0.0017).

CONCLUSIONS: Our MR study found several nominal associations that sleep traits causally influence leukaemia subtypes. Nominal associations were not significant after multiple testing correction, attenuated by adjustment for smoking and BMI, and potentially affected by pleiotropy or reverse causation.

PMID:41685402 | DOI:10.1080/16078454.2026.2626211

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Nevin Manimala Statistics

Using Quality Improvement and Workflow Analysis to Successfully Implement Evidence-Based Interventions to Increase Colorectal Cancer Screening Rates

Cancer Med. 2026 Feb;15(2):e71634. doi: 10.1002/cam4.71634.

ABSTRACT

BACKGROUND: Colorectal cancer (CRC) is the third leading cause of cancer deaths in the United States for men and women combined but is preventable with timely screening. Evidence-based interventions (EBIs) provide promising opportunities to increase screening. There are few descriptive examples of the processes used to assess and implement EBIs to increase CRC screening.

PROJECT DESCRIPTION: The Colorectal Cancer Prevention Network (CCPN) in South Carolina facilitated an intensive quality improvement technical assistance project aimed to increase CRC screening in 25 primary care clinics. In this paper we provide a detailed description of the process used to implement EBIs, report on the changes in CRC screening rates, and examine the impact of the interventions across clinics with different attributes (such as clinic size and rurality).

METHODS: We used Chi-square to explore changes in screening rates from baseline to years two and three of clinic implementation. We used Difference-in-Differences analysis to assess changes in screening rates from baseline to third year for clinics with different attributes.

RESULTS AND CONCLUSIONS: Across all clinics, the CRC screening increased from 45% to 51% (p < 0.05) from baseline to third year of participation. Sixteen of out 25 clinics saw an increase in screening rates for their second year, and 14 out of 25 saw an increase in their third year. Clinics with smaller patient populations, rural clinics, clinics with fewer uninsured patients, and clinics with lower baseline rates saw greater percentage point improvements. Clinics onboarded in the second year saw the lowest gains. We conclude that a structured tailored approach to the selection of EBIs can have positive effects on CRC screening rates, but positive change may vary depending on clinic attributes.

PMID:41685389 | DOI:10.1002/cam4.71634

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Nevin Manimala Statistics

Determinants of childbearing intention among Iranian women: Integrating psychological, demographic, and socioeconomic factors

J Public Health Res. 2026 Feb 10;15(1):22799036251410258. doi: 10.1177/22799036251410258. eCollection 2026 Jan.

ABSTRACT

BACKGROUND: Over the past three decades, Iran’s fertility rate has declined sharply from 6.5 to 1.7, posing a critical demographic and public health challenge, a global trend that highlights the need to tackle multifaceted influences on childbearing intentions, including economic, social, emotional, and attitudinal factors.This study examined the factors influencing childbearing intentions among women.

DESIGN AND METHODS: This cross-sectional study surveyed 450 reproductive-age women in Tabriz, Iran. Data were collected using self-administered questionnaires to assess sociodemographic/obstetric characteristics, attitudes toward fertility/childbearing, subjective norms, marital satisfaction, perceived social support, childbearing/parental anxiety, and hope. Data were analyzed with SPSS v24 via descriptive statistics, chi-square/Fisher’s exact tests, independent t-tests, and hierarchical multiple logistic regression to identify predictors of childbearing intention.

RESULTS: Only 34.2% (95% CI: 29.8-38.8) of participants intended to have children. Adjusted logistic regression identified positive associations with childbearing intention for positive attitudes (OR = 1.113, 95% CI: 1.057-1.172), subjective norms (OR = 1.458, 95% CI: 1.292-1.646), social support (OR = 1.093, 95% CI: 1.020-1.172), hope (OR = 1.165, 95% CI: 1.043-1.172), and religious beliefs (OR = 12.789, 95% CI: 1.029-158.990); conversely, negative associations for pregnancy/childbirth anxiety (OR = 0.633, 95% CI: 0.422-0.949), age > 40 years (OR = 0.01, 95% CI: 0.000-0.279), and poor financial status (OR = 0.007, 95% CI: 0.000-0.347).

CONCLUSION: The findings highlight the multifaceted economic, social, emotional, and attitudinal influences on childbearing intentions among Iranian women. To promote fertility rates, targeted public health strategies are recommended, including counseling for emotional barriers, economic supports like infertility subsidies and family incentives, and community-based education on reproductive health benefits.

PMID:41685375 | PMC:PMC12891384 | DOI:10.1177/22799036251410258

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Nevin Manimala Statistics

Altered static and dynamic functional network connectivity between subcortical nuclei and cortical regions of the default mode network in type 2 diabetes mellitus

Front Neurosci. 2026 Jan 28;20:1766192. doi: 10.3389/fnins.2026.1766192. eCollection 2026.

ABSTRACT

INTRODUCTION: Disruptions in functional connectivity (FC) within the default mode network (DMN) are well established as a key neuropathology underlying cognitive impairment in type 2 diabetes mellitus (T2DM). Subcortical nuclei, including the basal forebrain (BF) and mediodorsal thalamus, play critical roles in regulating DMN-associated cognitive processes and are particularly vulnerable to hyperglycemia and brain insulin resistance. However, the specific FC patterns between these subcortical nuclei and DMN cortical regions in patients with T2DM, as well as their potential associations with cognitive impairment, remain incompletely elucidated.

METHODS: Eighty-two patients with T2DM and 79 healthy controls (HCs) were enrolled in this study. Clinical data, neuropsychological assessments, and resting-state functional magnetic resonance imaging were collected from all participants. Resting-state (rs-FNC) and dynamic (dFNC) functional network connectivity analyses were performed to characterize connectivity between subcortical nuclei and DMN cortical regions. Correlation analyses explored associations between FNC metrics showing significant intergroup differences and participants’ clinical and cognitive parameters.

RESULTS: rs-FNC analysis revealed decreased FC between the BF and the dorsomedial prefrontal cortex (dMPFC), the BF and the temporal pole, and the dMPFC and the anteromedial prefrontal cortex in patients with T2DM (network-based statistic correction; edge p < 0.001, component p < 0.05). dFNC analyses indicated increased frequency and prolonged mean dwell time (MDT) of State 1 (high-frequency low-connectivity), as well as decreased frequency and shortened MDT of State 2 (high-frequency high-connectivity) compared with HCs (all p < 0.05). Reduced FC between the dMPFC and BF was positively correlated with Montreal Cognitive Assessment scores (r = 0.353, p = 0.001), whereas frequency (r = -0.434, p < 0.001) and MDT (r = -0.376, p = 0.001) of State 2 were negatively correlated with T2DM disease duration after Bonferroni correction.

CONCLUSION: These findings indicate that T2DM duration correlates with reduced highly efficient DMN connectivity, and that the BF may regulate cognitive function via the dMPFC subsystem. The results reveal temporal and functional specificity in abnormal DMN connectivity in patients with T2DM and enrich the neural atlas of DMN dysfunction in this population.

PMID:41685355 | PMC:PMC12891212 | DOI:10.3389/fnins.2026.1766192

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Nevin Manimala Statistics

Phenotypic Analysis of P-Wave Morphology as a Key Determinant of Late Recurrence Post-Ablation in Paroxysmal Atrial Fibrillation

J Arrhythm. 2026 Feb 10;42(1):e70285. doi: 10.1002/joa3.70285. eCollection 2026 Feb.

ABSTRACT

BACKGROUND: It remains unclear how P-wave morphology characteristics can be used to stratify the risk of late recurrence after catheter ablation (CA) for atrial fibrillation (AF).

METHODS: Patients with paroxysmal AF who underwent an initial CA were enrolled. We investigated the association between P-wave morphology (P-wave duration (Pd), PQ interval, P-wave amplitude (PWA) in leads II, V2, and V6) and late arrhythmia recurrence. Patients were classified into groups using statistical methods, and differences in recurrence and predictive scores for low voltage areas (LVA) among the groups were evaluated.

RESULTS: A total of 1005 paroxysmal AF patients undergoing initial CA were included. Cox regression identified female sex, Pd > 124 ms, PQ > 196 ms, and low PWA in leads II, V2, and V6 as predictors of late recurrence. Hierarchical clustering defined three phenotypes: Phenotype 1 (isolated low PWA), Phenotype 2 (isolated prolonged Pd) and Phenotype 3 (low PWA with prolonged Pd). At 1-year, cumulative recurrence rates were 10.1% (95% CI 0.8-15.7), 7.0% (4.7-9.6), and 36.2% (30.8-42.3) for Phenotypes 1-3; at 3-year, rates were 17.4% (12.8-23.3), 10.2% (7.4-14.0), and 61.2% (54.8-67.6). Phenotype 3 showed the highest risk, with HRs of 4.84 (95% CI 3.42-6.84) versus Phenotype 1 and 7.44 (4.34-12.8) versus Phenotype 2 (both p < 0.001). Phenotype 3 also had higher DR-FLASH and APPLE scores than the other phenotypes.

CONCLUSIONS: Low PWA across multiple leads (II, V2, and V6), especially when combined with prolonged Pd, correlates with late arrhythmia recurrence and suggests the potential presence of LVA.

PMID:41685353 | PMC:PMC12891814 | DOI:10.1002/joa3.70285