Nevin Manimala

Urologia. 2024 Jul 24:3915603241261144. doi: 10.1177/03915603241261144. Online ahead of print.

ABSTRACT

This study aimed to assess the ten-year trend in semen quality among couples referred to the Infertility Center in Kerman between 2008 and 2017. The study included 2952 semen samples from men 18 to 60 years old referred to the infertility center as infertile couples living in Kerman province, Iran, whether they had normal or abnormal semen analysis. A total of 2952 sperm samples were included. Statistically significant changes were observed in semen parameters. Particularly, significant changes were observed for volume (-0.08 mL/year), sperm concentration (-2.34 (mio/mL)/year), total sperm count (-13.17 (mio/ejaculate)/year), progressive motility (-2.62%/year), non-progressive motility (-0.59%/year), immotile sperm (2.49%/year), and normal morphology (-0.134%/year). In bivariate analysis, the prevalence of oligozoospermia in this study showed a statistically significant association with age (OR = 1.019; 95% CI = 1.007-1.032; p = 0.003). Likewise, there was a statistically significant association with the year (OR = 1.087; 95% CI = 1.050-1.125; p = 0.000). Semen quality parameters showed a downtrend during the last 10 years in this study, emphasizing the importance of male reproductive health monitoring and warning public health coordinators to pay more attention to this important issue.

PMID:39045677 | DOI:10.1177/03915603241261144

Oncologist. 2024 Jul 23:oyae185. doi: 10.1093/oncolo/oyae185. Online ahead of print.

ABSTRACT

BACKGROUND: Neoadjuvant treatment has been developed as a systematic approach for patients with early breast cancer and has resulted in improved breast-conserving rate and survival. However, identifying treatment-sensitive patients at the early phase of therapy remains a problem, hampering disease management and raising the possibility of disease progression during treatment.

METHODS: In this retrospective analysis, we collected 2-deoxy-2-[F-18] fluoro-d-glucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) images of primary tumor sites and axillary areas and reciprocal clinical pathological data from 121 patients who underwent neoadjuvant treatment and surgery in our center. The univariate and multivariate logistic regression analyses were performed to investigate features associated with pathological complete response (pCR). An 18F-FDG PET/CT-based prediction model was trained, and the performance was evaluated by receiver operating characteristic curves (ROC).

RESULTS: The maximum standard uptake values (SUVmax) of 18F-FDG PET/CT were a powerful indicator of tumor status. The SUVmax values of axillary areas were closely related to metastatic lymph node counts (R = 0.62). Moreover, the early SUVmax reduction rates (between baseline and second cycle of neoadjuvant treatment) were statistically different between pCR and non-pCR patients. The early SUVmax reduction rates-based model showed great ability to predict pCR (AUC = 0.89), with all molecular subtypes (HR+HER2-, HR+HER2+, HR-HER2+, and HR-HER2-) considered.

CONCLUSION: Our research proved that the SUVmax reduction rate of 18F-FDG PET/CT contributed to the early prediction of pCR, providing rationales for utilizing PET/CT in NAT in the future.

PMID:39045652 | DOI:10.1093/oncolo/oyae185

J Agric Food Chem. 2024 Jul 24. doi: 10.1021/acs.jafc.4c00866. Online ahead of print.

ABSTRACT

Zanthoxyli radix is a popular tea among the elderly, and it is believed to have a positive effect on Alzheimer’s disease. In this study, a highly effective three-step strategy was proposed for comprehensive analysis of the active components and biological functions of Zanthoxylum nitidum (ZN), including high-resolution LC-Q-TOF mass spectrometry (HRMS), multivariate statistical analysis for heterogeneity (MSAH), and experimental and virtual screening for bioactivity analysis (EVBA). A total of 117 compounds were identified from the root, stem, and leaf of ZN through HRMS. Bioactivity assays showed that the order of acetylcholinesterase (AChE) inhibitory activity from strong to weak was root > stem > leaf. Nitidine, chelerythrine, and sanguinarine were found to be the main differential components of root, stem, and leaf by OPLS-DA. The IC₅₀ values of the three compounds are 0.81 ± 0.02, 0.14 ± 0.01, and 0.48 ± 0.01 μM respectively, indicating that they are potent and high-quality AChE inhibitors. Molecular docking showed that pi-pi T-shaped interactions and pi-lone pairs played important roles in AChE inhibition. This study not only explains the biological function of Zanthoxyli radix in alleviating Alzheimer’s disease to some extent, but also lays the foundation for the development of stem and leaf of ZN.

PMID:39045647 | DOI:10.1021/acs.jafc.4c00866

J Public Health Res. 2024 Jun 24;13(2):22799036241262296. doi: 10.1177/22799036241262296. eCollection 2024 Apr.

ABSTRACT

Background: social support is important for adaptation in chronic diseases, such as diabetes and depression, because it favors recovery and adherence to treatment. Introducing its evaluation in the follow-up of diabetic patients can reduce complications derived from secondary non-adherence. Aims: to establish social support in diabetic patients and its correlation with depressive symptoms. Methods: a cross-sectional analytical study nested in a cohort of 173 recently diagnosed diabetic patients (<6 months) in Colombia over 18 years of age, treated in a cardiovascular risk program in 2022. The Chronic Illness Social Support Inventory was used. Results: Most of the participants were women (77.5%); single(83.8%), age (mean = 62.6 years (SD 12.3)); glycemia (mean = 146.4 (SD 65.5)), glycosylated hemoglobin (mean = 7.6 (SD 1.7)). Cronbach’s α coefficient for the general scale of the social support instrument was 0.9859. The mean social support was 168.5 (SD 37.4), range 38-228. The total social support score was normally distributed (Shapiro Wilk p > 0.05). The correlation between domains was statistically significant. The PHQ9 total score was significantly associated with the domains of Personal Interaction and Guide but did not significantly correlate with the overall social support score. The respondents who were at risk of developing depression were referred for treatment. Conclusions: findings suggest that perceived social support may play a significant role in the prevention and treatment of depression in diabetic patients. It is desirable that health professionals consider evaluating and enhancing social support to improve their mental health. More research is needed to gain a comprehensive understanding of this relationship.

PMID:39045604 | PMC:PMC11265234 | DOI:10.1177/22799036241262296

Consort Psychiatr. 2022 Dec 28;3(4):28-37. doi: 10.17816/CP211. eCollection 2022.

ABSTRACT

BACKGROUND: There has been an increase in the prevalence of autism spectrum disorders (ASD) worldwide over the past decades. Studies have shown that the number of confirmed diagnoses correlates with the awareness of the disorder among the general public and the professional community, in particular, as well as the availability of formalized screening procedures and modern medical and educational tools for families raising children with ASD in regional population centers. Thus, comparing autism prevalence rates in regions of the same country helps identify regions with limited access to diagnostic services and adequate medical care.

AIM: To estimate the overall number of individuals meeting the diagnostic criteria for ASD in Russia and determine the differences in the number of registered individuals with established diagnosis in the constituent territories of the Russian Federation.

METHODS: We conducted a retrospective, observational study and analyzed data from official statistical reports (form 12 “Information on the Number of Diseases Registered in Patients Residing in the Service Area of a Healthcare Institution” for 2020-2021).

RESULTS: A steady upward trend in the number of individuals with autism has been observed since 2014 in the Russian Federation as a whole and in the federal districts, although the prevalence rates differ from the global median prevalence of ASD (all-Russian figure by almost 40 times). In addition, regional differences (by 104.5 times) in the frequency of the diagnosis have been revealed: from a minimum of 1.7 to a maximum of 177.7 per 100,000 population. The percentile distribution of the number of individuals with ASD that are followed-up at healthcare facilities in the constituent territories of the Russian Federation was in the interquartile range (25-75th percentile), below the 25th percentile, and above the 75th percentile in 38, 26 and 21 regions, respectively.

CONCLUSION: The study has shown significant differences in the ASD diagnosis rates by regions in the country against a backdrop of a low (compared to international data) number of registered cases of autism. The presented data suggest that, due to the lack of proper diagnosis, a significant number of individuals with ASD do not receive adequate medical care, nor do they receive social, psychological, or pedagogical support. Possible reasons for this probably include low awareness of new diagnostic approaches among psychiatrists; low level of involvement of pediatrics professionals in screening activities; and fear of stigmatization because of a psychiatric diagnosis in the absence of a developed medical care infrastructure that encompasses a social, psychological, and pedagogical support system for people with ASD.

PMID:39045584 | PMC:PMC11262083 | DOI:10.17816/CP211

Consort Psychiatr. 2022 Dec 28;3(4):8-17. doi: 10.17816/CP206. eCollection 2022.

ABSTRACT

BACKGROUND: The existing research has mainly focused on exploring how the duration of untreated psychosis effects the further course of the disease. By contrast, the duration of an untreated illness (DUI) in youth depression and its impact on the further course of the disease has remained scarcely investigated.

AIM: The current study aims to determine how the duration of untreated illness affects the severity of the symptoms during the first depressive episode and the degree to which the symptoms are reduced after treatment.

METHODS: Fifty-two young male patients (15-29 years old) were examined. First, they were hospitalized with a severe without psychotic symptoms (F32.2) and moderate (F32.1) depressive episode. The Hamilton Depression Rating Scale (HDRS), the Scale of Prodromal Symptoms (SOPS), and the Scale for Assessment of Negative Symptoms (SANS) were used to achieve the research goals. The examination was conducted twice at the time of patient admission to the hospital and before discharge. Our statistical analysis was carried out with the Statistica 12 software. The Mann-Whitney U test was used to compare the differences between two independent groups. The Spearman’s rank correlation coefficient was used to uncover any correlation between how long the illness has remained untreated and the severity of its clinical symptoms.

RESULTS: All patients were hospitalized at the first depressive episode. The average duration of an untreated illness was 35.8±17.0 months. The patients were divided into two groups: the first group (59.6%, n=31), with a duration of the untreated illness of more than 36 months, and the second group (40.4%, n=21), with a duration of the untreated illness of less than 36 months. A cross-group comparison between the participants showed that the reduction of HDRS scores was significantly higher in the second group (p=0.019) at the time of discharge, with no differences in the severity of depressive symptoms (p=0.544) at the time of admission. Comorbidity was detected in 83.9% of the patients in the first group and in 42.9% of the patients in the second group. A greater therapy effectiveness was found to exist in the second group, as the depressive symptoms score on the HDRS scale (p=0.016; U=196.0) and prodromal symptoms score on the SOPS disorganization subscale (p=0.046; U=218.0) were found to have been reduced significantly.

CONCLUSION: The study showed that DUI has an impact on the reduction of depressive, negative symptoms and symptoms of disorganization in youth patients at the first depressive episode. A high level of comorbidity has been uncovered, confirming that a variety of non-psychotic and psychotic disorders in youth manifest themselves in depression at a prodromal stage, causing difficulties in establishing diagnoses and requiring subsequent verification. Future research might need to focus on exploring depressive symptoms as predictors of mental disorders in youth patients.

PMID:39045583 | PMC:PMC11262081 | DOI:10.17816/CP206

Front Psychiatry. 2024 Jul 9;15:1433316. doi: 10.3389/fpsyt.2024.1433316. eCollection 2024.

ABSTRACT

INTRODUCTION: Difficulty falling asleep place an increasing burden on society. EEG-based sleep staging is fundamental to the diagnosis of sleep disorder, and the selection of features for each sleep stage is a key step in the sleep analysis. However, the differences of sleep EEG features in gender and age are not clear enough.

METHODS: This study aimed to investigate the effects of age and gender on sleep EEG functional connectivity through statistical analysis of brain functional connectivity and machine learning validation. The two-overnight sleep EEG data of 78 subjects with mild difficulty falling asleep were categorized into five sleep stages using markers and segments from the “sleep-EDF” public database. First, the 78 subjects were finely grouped, and the mutual information of the six sleep EEG rhythms of δ, θ, α, β, spindle, and sawtooth wave was extracted as a functional connectivity measure. Then, one-way analysis of variance (ANOVA) was used to extract significant differences in functional connectivity of sleep rhythm waves across sleep stages with respect to age and gender. Finally, machine learning algorithms were used to investigate the effects of fine grouping of age and gender on sleep staging.

RESULTS AND DISCUSSION: The results showed that: (1) The functional connectivity of each sleep rhythm wave differed significantly across sleep stages, with delta and beta functional connectivity differing significantly across sleep stages. (2) Significant differences in functional connections among young and middle-aged groups, and among young and elderly groups, but no significant difference between middle-aged and elderly groups. (3) Female functional connectivity strength is generally higher than male at the high-frequency band of EEG, but no significant difference in the low-frequency. (4) Finer group divisions based on gender and age can indeed improve the accuracy of sleep staging, with an increase of about 3.58% by using the random forest algorithm. Our results further reveal the electrophysiological neural mechanisms of each sleep stage, and find that sleep functional connectivity differs significantly in both gender and age, providing valuable theoretical guidance for the establishment of automated sleep stage models.

PMID:39045546 | PMC:PMC11264056 | DOI:10.3389/fpsyt.2024.1433316

SAGE Open Med. 2024 Jun 24;12:20503121241260149. doi: 10.1177/20503121241260149. eCollection 2024.

ABSTRACT

INTRODUCTION: Imposter syndrome is common among health disciplinary students, leading to serious consequences. However, the impact of imposter syndrome on self-esteem and quitting intention among respiratory therapy students has not been well researched.

OBJECTIVE: To report on the prevalence of imposter syndrome and assess its impacts on self-esteem and quitting intention among respiratory therapy students in Saudi Arabia.

METHODS: A nonprobability cross-sectional questionnaire using the Clance Impostor Phenomenon Scale and the Rosenberg Self-Esteem Scale was self-administered and distributed among respiratory therapy students between October 2022 and April 2023. Data analysis was performed using Descriptive and inferential statistics.

RESULTS: Of the 1500 respiratory therapy students invited to participate in the study, 901 surveys were completed; and thus, included in the final analysis. Of whom, 92% were presented with imposter syndrome: 44% with moderate, 35% with frequent, and 13% with intense feelings. In addition, 60% of respiratory therapy students and interns experienced low self-esteem, while only 0.5% indicated high self-esteem. More than 50% of the study participants thought about quitting the respiratory therapy program, and 30% have been diagnosed with psychological disorders. Furthermore, there was a significant association between imposter syndrome and low self-esteem, p < 0.001. Factors associated with imposter syndrome and low self-esteem were family income (<0.005) and parents’ education (<0.005), quitting intention (<0.005), and having been diagnosed with psychological disorders (<0.005). Genders, academic levels, and grade point average were not associated with either imposter syndrome or self-esteem (>0.005).

CONCLUSION: Imposter syndrome and low self-esteem are prevalent among respiratory therapy students, both of which are associated with considering leaving the respiratory therapy program. Effective interventions should be implemented to ameliorate the symptoms imposter syndrome and low self-esteem; thus, improving the academic experience of respiratory therapy students.

PMID:39045543 | PMC:PMC11265236 | DOI:10.1177/20503121241260149

Front Hum Neurosci. 2024 Jul 9;18:1360218. doi: 10.3389/fnhum.2024.1360218. eCollection 2024.

ABSTRACT

Affect-biased attention is the phenomenon of prioritizing attention to emotionally salient stimuli and away from goal-directed stimuli. It is thought that affect-biased attention to emotional stimuli is a driving factor in the development of depression. This effect has been well-studied in adults, but research shows that this is also true during adolescence, when the severity of depressive symptoms are correlated with the magnitude of affect-biased attention to negative emotional stimuli. Prior studies have shown that trainings to modify affect-biased attention may ameliorate depression in adults, but this research has also been stymied by concerns about reliability and replicability. This study describes a clinical application of augmented reality-guided EEG-based attention modification (“AttentionCARE”) for adolescents who are at highest risk for future depressive disorders (i.e., daughters of depressed mothers). Our results (n = 10) indicated that the AttentionCARE protocol can reliably and accurately provide neurofeedback about adolescent attention to negative emotional distractors that detract from attention to a primary task. Through several within and cross-study replications, our work addresses concerns about the lack of reliability and reproducibility in brain-computer interface applications, offering insights for future interventions to modify affect-biased attention in high-risk adolescents.

PMID:39045509 | PMC:PMC11264899 | DOI:10.3389/fnhum.2024.1360218

Ecol Evol. 2024 Jul 23;14(7):e11569. doi: 10.1002/ece3.11569. eCollection 2024 Jul.

ABSTRACT

Classifications of forest vegetation types and characterization of related species assemblages are important analytical tools for mapping and diversity monitoring of forest communities. The discrimination of forest communities is often based on β-diversity, which can be quantified via numerous indices to derive compositional dissimilarity between samples. This study aims to evaluate the applicability of unsupervised classification for National Forest Inventory data from Georgia by comparing two cluster hierarchies. We calculated the mean basal area per hectare for each woody species across 1059 plot observations and quantified interspecies distances for all 87 species. Following an unspuervised cluster analysis, we compared the results derived from the species-neutral dissimilarity (Bray-Curtis) with those based on the Discriminating Avalanche dissimilarity, which incorporates interspecies phylogenetic variation. Incorporating genetic variation in the dissimilarity quantification resulted in a more nuanced discrimination of woody species assemblages and increased cluster coherence. Favorable statistics include the total number of clusters (23 vs. 20), mean distance within clusters (0.773 vs. 0.343), and within sum of squares (344.13 vs. 112.92). Clusters derived from dissimilarities that account for genetic variation showed a more robust alignment with biogeographical units, such as elevation and known habitats. We demonstrate that the applicability of unsupervised classification of species assemblages to large-scale forest inventory data strongly depends on the underlying quantification of dissimilarity. Our results indicate that by incorporating phylogenetic variation, a more precise classification aligned with biogeographic units is attained. This supports the concept that the genetic signal of species assemblages reflects biogeographical patterns and facilitates more precise analyses for mapping, monitoring, and management of forest diversity.

PMID:39045499 | PMC:PMC11264350 | DOI:10.1002/ece3.11569