Category: Statistics

Psychiatr Pol. 2022 Dec 23:1-14. doi: 10.12740/PP/OnlineFirst/154985. Online ahead of print.

ABSTRACT

OBJECTIVES: The aim of the pilot study was to compare the level of empathy among adolescents treated in a psychiatric day unit in groups with varied age, gender and type of disorder (conduct and emotional disorders and depressive-anxiety disorders).

METHODS: The study was carried out in a group of 117 adolescents (69 girls and 48 boys) aged 13-20, treated in the Clinical Day Unit of the Department of Adult, Child and Adolescent Psychiatry of the University Hospital in Kraków between 2016-2021. The Davis Empathy Scale and the Cohen Empathy Scale were used for the study.

RESULTS: Girls scored significantly higher compared to boys on the Cohen and Davis Empathy scales and on the Davis subscale: Personal Distress. Statistically significant interactions were observed for the factors of gender and age, as well as age and disorder type. Older boys had statistically significantly higher scores on the Davis Empathy Scale compared to younger boys, while the reverse pattern was observed for girls (non-significant). Older patients with conduct disorders had significantly lower Cohen’s Empathy Scale scores compared to younger patients; the opposite pattern was observed in the group of patients with anxiety-depressive disorders (non-significant).

CONCLUSIONS: Girls exhibit higher levels of affective and cognitive empathy than boys. The intensity of empathy increases with age in the group of boys, while for girls the obtained differences are not statistically significant. The intensity of empathy is significantly lower in the group of older adolescents (versus younger) with conduct and emotional disorders. Among depressive-anxiety disorders, the opposite pattern was noted (non-significant). The unique results obtained indicate a different trajectory of empathy development in the group of patients with conduct disorders and with depressive-anxiety disorders.

PMID:37037044 | DOI:10.12740/PP/OnlineFirst/154985

Neural Comput. 2023 Apr 6:1-58. doi: 10.1162/neco_a_01586. Online ahead of print.

ABSTRACT

Similar activity patterns may arise from model neural networks with distinct coupling properties and individual unit dynamics. These similar patterns may, however, respond differently to parameter variations and specifically to tuning of inputs that represent control signals. In this work, we analyze the responses resulting from modulation of a localized input in each of three classes of model neural networks that have been recognized in the literature for their capacity to produce robust three-phase rhythms: coupled fast-slow oscillators, near-heteroclinic oscillators, and threshold-linear networks. Triphasic rhythms, in which each phase consists of a prolonged activation of a corresponding subgroup of neurons followed by a fast transition to another phase, represent a fundamental activity pattern observed across a range of central pattern generators underlying behaviors critical to survival, including respiration, locomotion, and feeding. To perform our analysis, we extend the recently developed local timing response curve (lTRC), which allows us to characterize the timing effects due to perturbations, and we complement our lTRC approach with model-specific dynamical systems analysis. Interestingly, we observe disparate effects of similar perturbations across distinct model classes. Thus, this work provides an analytical framework for studying control of oscillations in nonlinear dynamical systems and may help guide model selection in future efforts to study systems exhibiting triphasic rhythmic activity.

PMID:37037042 | DOI:10.1162/neco_a_01586

Neural Comput. 2023 Apr 6:1-24. doi: 10.1162/neco_a_01585. Online ahead of print.

ABSTRACT

Pairwise learning is widely employed in ranking, similarity and metric learning, area under the curb maximization, and many other learning tasks involving sample pairs. Pairwise learning with deep neural networks was considered for ranking, but enough theoretical understanding about this topic is lacking. In this letter, we apply symmetric deep neural networks to pairwise learning for ranking with a hinge loss ϕh and carry out generalization analysis for this algorithm. A key step in our analysis is to characterize a function that minimizes the risk. This motivates us to first find the minimizer of ϕh-risk and then design our two-part deep neural networks with shared weights, which induces the antisymmetric property of the networks. We present convergence rates of the approximation error in terms of function smoothness and a noise condition and give an excess generalization error bound by means of properties of the hypothesis space generated by deep neural networks. Our analysis is based on tools from U-statistics and approximation theory.

PMID:37037041 | DOI:10.1162/neco_a_01585

Biotechnol Genet Eng Rev. 2023 Apr 10:1-11. doi: 10.1080/02648725.2023.2199575. Online ahead of print.

ABSTRACT

The purpose of this study was to investigate the impact of vaginal delivery on adverse pregnancy outcomes after cesarean section for the cicatricial uterus. Eighty patients with scarred uterus after cesarean section admitted to our hospital from October 2019 to May 2021 were selected for the study. Among them, 44 cases were eligible for vaginal delivery. Thirty-eight cases of cesarean delivery were selected as the control group and 42 cases of vaginal delivery were selected as the observation group according to the mode of delivery. Baseline data, 24-h blood loss, length of hospital stay, hospital costs, 5-minute Apger score, and adverse pregnancy outcomes were compared between the two groups. When comparing the age, gestational age, number of pregnancies, and duration of cesarean delivery between the two groups (t = 1.333, 0.989, 0.597, 0.752, P > 0.05), the scar thickness in the observation group was higher than that in the control group. The 24-h postpartum bleeding and hospitalization cost was lower in the observation group than in the control group, the hospitalization time was shorter than in the control group, and the 5-minute Apger score was higher than in the control group (t = 21.744, 15.029, 11.524, 7.342, P < 0.05). The incidence of maternal and neonatal complications was compared between the two groups (23.68% vs 7.14%, 7.89% vs 0.00%, correction 2 = 1.083, 1.605, P > 0.05). The incidence of adverse pregnancy outcomes was 7.14% in the observation group, which was significantly lower than the 31.57% in the control group. The difference was statistically significant (correction 2 = 4.060, P < 0.05).

PMID:37036961 | DOI:10.1080/02648725.2023.2199575

Int J Environ Health Res. 2023 Apr 10:1-14. doi: 10.1080/09603123.2023.2199972. Online ahead of print.

ABSTRACT

We investigated the distribution of dengue cases, solid waste deposits (SWDs), forest fragments, water drainage, population income, and the possible association with dengue outbreaks in Presidente Prudente, São Paulo, Brazil. An urban setting with recent transmission. Data were obtained from public agencies. Kernel density maps of the variables were constructed. From 2015 to 2021, 33026 cases of dengue were reported; the incidence and mortality rate were highest in 2016. The number of cases decreased during the COVID-19 pandemic (2020 and 2021) compared with 2019, but alarming rates were registered in 2022. In 2015, 56 points of SWDs were identified, with an increase of 1.6-fold in 2020 and 2021. Multivariate analysis showed a positive correlation between the density of dengue cases and SWDs with the highest correlation (0.70) in 2020. Identifying these areas could guide public health authorities in surveillance measures and improvements in health care infrastructure.

PMID:37036947 | DOI:10.1080/09603123.2023.2199972

Chin Med J (Engl). 2023 Apr 11. doi: 10.1097/CM9.0000000000002580. Online ahead of print.

ABSTRACT

BACKGROUND: Human neutrophil lipocalin (HNL) has been used extensively to differentiate acute bacterial infection from febrile diseases as a biomarker to reflect the activation of the neutrophil. The serum HNL levels in the adult-onset Still’s disease (AOSD) patients with and without infection, as well as the healthy controls (HCs), were analyzed statistically in this study to evaluate the value of HNL for the diagnosis of AOSD.

METHODS: A total of 129 AOSD patients were enrolled, from whom blood samples were drawn and the AOSD diagnosis was confirmed through the review of the medical records, where the systemic score, demographic characteristics, clinical manifestations, and laboratory parameters were also collected for the patients; in addition, a total of 40 HCs were recruited among the blood donors from the healthcare center with the relevant information collected. The HNL test was done for the blood samples with the enzyme-linked immunosorbent assay and the analyses were done for the correlations of HNL with clinical manifestations and diagnostic effectiveness.

RESULTS: The serum HNL increased significantly in the patients with only AOSD as compared with that in the HCs (139.76 ± 8.99 ng/mL vs. 55.92 ± 6.12 ng/mL; P < 0.001). The serum HNL level was correlated with the white blood cell (WBC) count (r = 0.335, P < 0.001), neutrophil count (r = 0.334, P < 0.001), erythrocyte sedimentation rate (r = 0.241, P = 0.022), C-reactive protein (r = 0.442, P < 0.0001), and systemic score (r = 0.343, P < 0.0001) in the AOSD patients significantly. Patients with fever, leukocytosis ≥15,000/mm3, and myalgia in the HNL-positive group were observed relatively more than those in the HNL-negative group (P = 0.009, P = 0.023, and P = 0.007, respectively). HNL was a more sensitive indicator than ferritin and C-reactive protein (CRP) to differentiate the AOSD patients with a bacterial infection from AOSD-only patients, and the Youden index was 0.6 for HNL and 0.29 for CRP.

CONCLUSION: Serum HNL can be used as a biomarker for the diagnosis of the AOSD, and HNL is also observed to be associated with the disease activity.

PMID:37036898 | DOI:10.1097/CM9.0000000000002580

Oncologist. 2023 Apr 10:oyad037. doi: 10.1093/oncolo/oyad037. Online ahead of print.

ABSTRACT

BACKGROUND: Little is known about the impact of spiritual caregivers, psychologists, and social workers on desired end-of-life (EoL) medical outcomes, such as reduced use of aggressive care in the final 2 weeks of life, having more time between the last active oncological treatment and death, and increased hospice use.

PATIENTS AND METHODS: We conducted a prospective study of 180 patients with cancer and their families, their interactions with social work, psychology, and spiritual care, and the above three treatment outcomes.

RESULTS: We found that having one or more spiritual care visits (adjusted odds ratio (AOR) = 2.02; P = .04), having more quality visits with the psychologist (P = .01), and speaking with someone about one’s inner resources (AOR = 2.25; P = .03) all correlated with reduced EoL aggressive care. The key interventions correlating with increased time after final treatment were more visits with the spiritual caregiver or the social worker (AOR = 1.30; P < .001), and speaking about the medical treatment (AOR = 1.54; P < .001) and about interpersonal relationships (AOR = 2.28; P < .001). A subjectively good-quality connection with the spiritual caregiver correlated with increased hospice use (AOR = 10.00; P = .01).

CONCLUSIONS: Patients with cancer who availed themselves of the spiritual care, psychology, and social work services, each profession in distinct ways, had significantly different outcomes in their EoL medical treatment, including undergoing fewer futile aggressive measures, having more time after their last active treatment, and using hospice services more. These outcomes directly bear on improved quality of life and reduced costs.

PMID:37036873 | DOI:10.1093/oncolo/oyad037

PLoS One. 2023 Apr 10;18(4):e0283618. doi: 10.1371/journal.pone.0283618. eCollection 2023.

ABSTRACT

This paper provides a novel model that is more relevant than the well-known conventional distributions, which stand for the two-parameter distribution of the lifetime modified Kies Topp-Leone (MKTL) model. Compared to the current distributions, the most recent one gives an unusually varied collection of probability functions. The density and hazard rate functions exhibit features, demonstrating that the model is flexible to several kinds of data. Multiple statistical characteristics have been obtained. To estimate the parameters of the MKTL model, we employed various estimation techniques, including maximum likelihood estimators (MLEs) and the Bayesian estimation approach. We compared the traditional reliability function model to the fuzzy reliability function model within the reliability analysis framework. A complete Monte Carlo simulation analysis is conducted to determine the precision of these estimators. The suggested model outperforms competing models in real-world applications and may be chosen as an enhanced model for building a statistical model for the COVID-19 data and other data sets with similar features.

PMID:37036849 | DOI:10.1371/journal.pone.0283618

Ann Med. 2023 Dec;55(1):2197293. doi: 10.1080/07853890.2023.2197293.

ABSTRACT

INTRODUCTION: The study aims to determine whether body mass index (BMI), metabolic syndrome (MS) or its individual components (primary hypertension, type 2 diabetes mellitus and dyslipidemias) are risk factors for common urological diseases.

MATERIALS AND METHODS: Cross-sectional study with data collected on February 28, 2022 from the TriNetX Research Network. Patients were divided in cohorts according to their BMI, presence of MS (BMI > 30 kg/m², type 2 diabetes mellitus, primary hypertension and disorders of lipoprotein metabolism) and its individual components and its association with common urological conditions was determined. For each analysis, odds ratio (OR) with 95% confidence intervals were calculated. Statistical significance was assessed at p < .05.

RESULTS: BMI > 30 kg/m² was associated with increased risk of lithiasis, kidney cancer, overactive bladder, male hypogonadism, benign prostatic hyperplasia, and erectile dysfunction (p < .05). On the contrary, BMI was inversely associated with ureteral, bladder and prostate cancer (p < .05). In all urological diseases, MS was the strongest risk factor, with prostate cancer (OR = 2.53) showing the weakest and male hypogonadism the strongest (OR = 13.00) associations.

CONCLUSIONS: MS and its individual components were significant risk factors for common urological conditions. Hence holistic approaches with lifestyle modification might prevent common urological disease.Key messagesOverall, metabolic syndrome is the strongest risk factor for all the analysed urological diseases.Abnormally high body mass index can be a risk or protective factor depending on the threshold and urological disease that are being evaluated.Metabolic syndrome and increased BMI should be considered important factors associated to the prevalence of common urological diseases.

PMID:37036830 | DOI:10.1080/07853890.2023.2197293

Australas J Ageing. 2023 Apr 10. doi: 10.1111/ajag.13191. Online ahead of print.

ABSTRACT

OBJECTIVE: To examine whether measures of neuromuscular control and proprioceptive acuity were predictive of falls in an older community-dwelling population and to develop a multivariate prediction model.

METHODS: Fifty-eight adults aged above 60 living independently in the community were recruited for a prospective falls study. On entry, they undertook a Sensory Organisation Test (SOT) and an Active Movement Extent Discrimination Assessment (AMEDA) and completed a short fall risk questionnaire. Participants were monitored for falls over the subsequent 12 months. Prior to analysis, falls were classified into three categories based on the difficulty of the activity being undertaken and the demands of the environment in which the fall occurred. Logistic regression was used to predict the probability of a fall.

RESULTS: For falls occurring under the least challenging circumstances, the model fitted using the AMEDA score and two of the questions from the fall risk questionnaire, related to balance and confidence, achieved a specificity of 87% and sensitivity of 83%. Falls occurring in more challenging circumstances could not be predicted with any accuracy based on the variables recorded at inception.

CONCLUSIONS: This study highlights the importance of considering the heterogeneous nature of falls. Poorer proprioceptive acuity appears to play a role in falls occurring where neither the environment nor the activity is challenging, but not in falls occurring in other circumstances. Falls in the least-challenging circumstances affected 15% of participants, but this group was considerably more likely to have multiple falls, increasing their vulnerability to adverse consequences.

PMID:37036826 | DOI:10.1111/ajag.13191