Category: Nevin Manimala

Gait Posture. 2022 Apr 19;95:93-99. doi: 10.1016/j.gaitpost.2022.04.017. Online ahead of print.

ABSTRACT

BACKGROUND: Children with juvenile idiopathic arthritis (JIA) can experience significant physical impairment of the lower extremity. Prolonged joint disease and symptoms may cause gait alterations such as reduced walking speed and increased plantar pressures in diseased areas of their feet. There is limited robust clinical trials investigating the effect of non-invasive mechanical therapies such as foot orthoses (FOs) on improving gait parameters in children with JIA.

RESEARCH QUESTION: Are customised preformed FOs effective in improving gait parameters in children with JIA?

METHODS: A multicentre, parallel design, single-blinded randomised clinical trial was used to assess the gait impacts of customised preformed FOs on children with JIA. Children with a diagnosis of JIA, exhibiting lower limb symptoms and aged 5-18 were eligible. The trial group received a low-density full length, Slimflex Simple device which was customised chair side and the control group received a sham device. Peak pressure and pressure time integrals were used as the main gait outcomes and were measured using portable Tekscan gait analysis technology at baseline, 3 and 6 months. Differences at each follow-up were assessed using the Wilcoxon rank sum test.

RESULTS: 66 participants were recruited. Customised preformed FOs were effective in altering plantar pressures in children with JIA versus a control device. Reductions of peak pressures and pressure time integrals in the heel, forefoot and 5th metatarsophalangeal joint were statistically significant in favour of the trial group. This was associated with statistically significant increased midfoot contact with the trial device at baseline, 3 and 6-month data collections. The trial intervention was safe and well accepted by participants, which is reflected in the high retention rate (92%).

SIGNIFICANCE: Clinicians may prescribe customised preformed FOs in children with JIA to deflect pressure from painful joints and redistribute from high pressure areas such as the rearfoot and forefoot.

PMID:35468489 | DOI:10.1016/j.gaitpost.2022.04.017

Phys Med. 2022 Apr 22;98:11-17. doi: 10.1016/j.ejmp.2022.04.008. Online ahead of print.

ABSTRACT

PURPOSE: Radiomics is an active area of research focusing on high throughput feature extraction from medical images with a wide array of applications in clinical practice, such as clinical decision support in oncology. However, noise in low dose computed tomography (CT) scans can impair the accurate extraction of radiomic features. In this article, we investigate the possibility of using deep learning generative models to improve the performance of radiomics from low dose CTs.

METHODS: We used two datasets of low dose CT scans – NSCLC Radiogenomics and LIDC-IDRI – as test datasets for two tasks – pre-treatment survival prediction and lung cancer diagnosis. We used encoder-decoder networks and conditional generative adversarial networks (CGANs) trained in a previous study as generative models to transform low dose CT images into full dose CT images. Radiomic features extracted from the original and improved CT scans were used to build two classifiers – a support vector machine (SVM) and a deep attention based multiple instance learning model – for survival prediction and lung cancer diagnosis respectively. Finally, we compared the performance of the models derived from the original and improved CT scans.

RESULTS: Denoising with the encoder-decoder network and the CGAN improved the area under the curve (AUC) of survival prediction from 0.52 to 0.57 (p-value < 0.01). On the other hand, the encoder-decoder network and the CGAN improved the AUC of lung cancer diagnosis from 0.84 to 0.88 and 0.89 respectively (p-value < 0.01). Finally, there are no statistically significant improvements in AUC using encoder-decoder networks and CGAN (p-value = 0.34) when networks trained at 75 and 100 epochs.

CONCLUSION: Generative models can improve the performance of low dose CT-based radiomics in different tasks. Hence, denoising using generative models seems to be a necessary pre-processing step for calculating radiomic features from low dose CTs.

PMID:35468494 | DOI:10.1016/j.ejmp.2022.04.008

Asian J Psychiatr. 2022 Apr 11;73:103118. doi: 10.1016/j.ajp.2022.103118. Online ahead of print.

ABSTRACT

BACKGROUND: Mood-incongruent psychosis during bipolar disorder has been associated with poor outcomes. However, it remains unknown whether this is secondary to persistent affective or psychotic symptoms or both.

METHOD: Sixty-eight patients with bipolar disorder between the ages of 16 and 45 were recruited during their first psychiatric hospitalization for mania. These patients were evaluated using structured and semi-structured clinical interview then followed longitudinally. Outcomes during the first twenty-four months of follow-up were compared between patients with mood-incongruent psychosis and those without (i.e., patients with mood-congruent psychosis or no psychosis) during the index manic episode. Specifically, ratings of the percent of weeks during follow-up with the duration of mood incongruent psychotic symptom, any psychotic symptom, affective syndromes, and scores of global outcomes were compared.

RESULTS: Comparing the 24-month follow-up results between the two groups, patients with mood incongruent psychotic symptoms had a lower global functional rating scale, efficacy index, while the duration of mood incongruent psychotic symptom, any psychotic symptom, and complete affective symptom showed statistically significant differences between the two groups. There were also statistically significant differences between the two groups in the duration of mood stabilizers, and antidepressants use, typical antipsychotics, and atypical antipsychotics. Partial correlation analysis reveals the scores of the global assessment of functioning scale (GAF) after 24 months showed a significant negative correlation with the length of time of incongruent psychotic symptoms. Still, the correlation was intermediate (correlation coefficients less than 0.5，r² = -0.471, P < 0.001).

CONCLUSION: Mood-incongruent psychosis that occurs during the first manic episode appears to predict an increased likelihood of persistent psychotic symptoms during the subsequent twenty-four months. This persistence of psychosis is associated with a worse overall course of illness than patients without mood-incongruent psychosis.

LIMITATIONS: These results apply to a relatively short outcome period, and the sample size is relatively small.

PMID:35468481 | DOI:10.1016/j.ajp.2022.103118

Breast. 2022 Apr 18;64:29-34. doi: 10.1016/j.breast.2022.04.007. Online ahead of print.

ABSTRACT

BACKGROUND: To date, it remains unclear which patients with breast cancer (BC) benefit from post-mastectomy radiotherapy (PMRT). Cheng et al. developed and validated a scoring system based on 4 prognostic factors for locoregional recurrence (LRR) to identify patients in need for PMRT. These factors include age, estrogen receptor status, lymphovascular status and number of affected axillary lymph nodes.

PURPOSE: To validate the scoring system for LRR in BC developed by Cheng et al. by using an independent BC database.

METHODS AND MATERIALS: We retrospectively identified 1989 BC cases, treated with mastectomy (ME) with or without PMRT at the University Hospitals Leuven between 2000 and 2007. The primary endpoint was 5-year locoregional control rate with and without PMRT, according to the LRR score.

RESULTS: Median follow-up time was 11.4 years. After excluding patients with missing variables 1103 patients were classified using the LRR scoring system: 688 (62.38%) patients were at low risk of recurrence (LRR score 0-1), 335 (30.37%) patients were at intermediate risk of recurrence (LRR score 2-3) and 80 (7.25%) patients were at high risk of recurrence (LRR score ≥4). 5-year locoregional control rates with and without PMRT were 99.20% versus 99.21% (p = 0.43) in the low-risk group; 98.24% versus 85.74% (p < 0.0001) in the intermediate-risk group and 96.87% versus 85.71% (p = 0.10) in the high-risk group respectively.

CONCLUSION: Our validation of the LRR scoring system suggests it can be used to point out patients that would benefit from PMRT. We recommend further validation of this scoring system by other independent institutions before application in clinical practice.

PMID:35468477 | DOI:10.1016/j.breast.2022.04.007

Mar Pollut Bull. 2022 Apr 22;179:113671. doi: 10.1016/j.marpolbul.2022.113671. Online ahead of print.

ABSTRACT

Metal contamination has never been assessed in Ampullae of Lorenzini. This study employed Rhizoprionodon lalandii, as an ecotoxicological model to investigate potential metal accumulation in Ampullae of Lorenzini jelly. No differences between sexes were observed regarding jelly metal concentrations at Rio das Ostras (RJ) or Santos (SP). Statistically significant correlations were noted between total lengths (TL) and condition factors and several metals at both sampling sites, demonstrating the potential for Chondrichthyan sensory capacity disruption and possible effects on foraging success. Maternal metal transfer to Ampullae jelly was confirmed. Rhizoprionodon lalandii is thus, a good model to assess Ampullae of Lorenzini contamination, as this electrosensory organ seems to be highly vulnerable to metal contamination.

PMID:35468471 | DOI:10.1016/j.marpolbul.2022.113671

J Electrocardiol. 2022 Apr 18;72:120-127. doi: 10.1016/j.jelectrocard.2022.04.001. Online ahead of print.

ABSTRACT

PURPOSE: Cardiac resynchronization therapy (CRT) reduces ventricular activation times and electrical dyssynchrony, however the effect on repolarization is unclear. In this study, we sought to investigate the effect of CRT and left ventricular (LV) remodeling on dispersion of repolarization using electrocardiographic imaging (ECGi).

METHODS: 11 patients with heart failure and electrical dyssynchrony underwent ECGi 1-day and 6-months post CRT. Reconstructed epicardial electrograms were used to create maps of activation time, repolarization time (RT) and activation recovery intervals (ARI) and calculate measures of RT, ARI and their dispersion. ARI was corrected for heart rate (cARI).

RESULTS: Compared to baseline rhythm, LV cARI dispersion was significantly higher at 6 months (28.2 ± 7.7 vs 36.4 ± 7.2 ms; P = 0.03) but not after 1 day (28.2 ± 7.7 vs 34.4 ± 6.8 ms; P = 0.12). There were no significant differences from baseline to CRT for mean LV cARI or RT metrics. Significant LV remodeling (>15% reduction in end-systolic volume) was an independent predictor of increase in LV cARI dispersion (P = 0.04) and there was a moderate correlation between the degree of LV remodeling and the relative increase in LV cARI dispersion (R = -0.49) though this was not statistically significant (P = 0.12).

CONCLUSION: CRT increases LV cARI dispersion, but this change was not fully apparent until 6 months post implant. The effects of CRT on LV cARI dispersion appeared to be dependent on LV reverse remodeling, which is in keeping with evidence that the risk of ventricular arrhythmia after CRT is higher in non-responders compared to responders.

PMID:35468456 | DOI:10.1016/j.jelectrocard.2022.04.001

Nurse Educ Today. 2022 Apr 19;113:105373. doi: 10.1016/j.nedt.2022.105373. Online ahead of print.

ABSTRACT

BACKGROUND: In the coronavirus disease-impacted era, many medical institutions have not permitted clinical practice at hospitals or have operated their training on a restricted basis. The effective strategy for improving therapeutic communication and team cooperation as a nursing core competency is required.

OBJECTIVES: The study aimed to verify the effects of simulation problem-based learning on nursing students’ communication skills, communication attitudes, and team efficacy.

DESIGN: Non-equivalent control group pretest-posttest design.

SETTINGS: A university in South Korea.

PARTICIPANTS: Nursing students who were classified as advanced beginners were randomly allocated to the control group (n = 46) or the experimental group (n = 47).

METHODS: The experimental group’s students participated in the simulation problem-based learning for cesarean section maternity nursing. The control group’s students participated in a conventional type of maternity nursing clinical practice. The communication skills, communication attitudes, and team efficacy were measured by using a self-reported questionnaire.

RESULTS: As compared with the pretest, the communication attitudes increased significantly (t = 2.41, p = .020) in the posttest for the experimental group. The communication skills (t = 1.47, p = .150) and team efficacy (F = 3.30, p = .073) were not statistically significant.

CONCLUSIONS: The simulation problem-based learning in clinical practice is recommended to improve communication attitudes for nursing students and to apply the learned knowledge in simulated nursing situations through experiential learning. Future research is particularly needed the standardized educational program to identify the long-term effects in various cases and settings.

PMID:35468458 | DOI:10.1016/j.nedt.2022.105373

Ecotoxicol Environ Saf. 2022 Apr 22;237:113542. doi: 10.1016/j.ecoenv.2022.113542. Online ahead of print.

ABSTRACT

Existing evidence has showed that exposure to polycyclic aromatic hydrocarbons (PAHs) increases the risk of many chronic diseases. Given the close connection between aging (a major risk factor) and chronic diseases, however, very few studies have evaluated the association between PAHs and aging. Furthermore, whether modifiable healthy lifestyle could attenuate the detrimental effect of PAHs on aging remains unknown. Therefore, we conducted this study, aiming to: (1) examine the associations of urinary monohydroxy polycyclic aromatic hydrocarbons (OH-PAHs) and lifestyle with Phenotypic Age Acceleration (PhenoAge.Accel), a novel aging measure that captures morbidity and mortality risk; and (2) evaluate the potential interaction effects of OH-PAHs and lifestyle on PhenoAge.Accel. Cross-sectional data of 2,579 participants (aged 20-84 years, n = 1,292 females) from the National Health and Nutrition Examination Survey for years 2001-2010 were analyzed. A lifestyle index was constructed based on five components (drinking, smoking, body mass index, physical activity, and diet), ranging from 0 to 5. We calculated PhenoAge.Accel using algorithms developed previously. General linear regression models were used to examine the associations. We observed strong associations of OH-PAHs and lifestyle with PhenoAge.Accel. For instance, one unit increase in ∑NAP (sum of 1- and 2-hydroxynaphthalene) was associated with 0.37 year (95% confidence interval [CI]: 0.26, 0.48) increase in PhenoAge.Accel. We did not observe statistically significant interaction effects between OH-PAHs and lifestyle on PhenoAge.Accel. After stratified by sex, we observed strong associations as well as statistically significant interactions of OH-PAHs and lifestyle with PhenoAge.Accel among females. In conclusion, both OH-PAHs and lifestyle were independently associated with phenotypic aging and there were statistically significant interactions between OH-PAHs and lifestyle on phenotypic aging among females. The findings highlight the importance of adherence to a healthy lifestyle to attenuate the detrimental effects of exposures to PAHs on phenotypic aging among females.

PMID:35468442 | DOI:10.1016/j.ecoenv.2022.113542

Ecotoxicol Environ Saf. 2022 Apr 22;237:113537. doi: 10.1016/j.ecoenv.2022.113537. Online ahead of print.

ABSTRACT

Both long-term exposure to air pollution and abnormal fasting blood glucose (FBG) are linked to dyslipidemia prevalence. However, the joint role of air pollution and FBG on dyslipidemia remains unknown clearly. In this study, we aimed to test whether abnormal FBG could enhance the risks of long-term exposure to air pollutants on dyslipidemia in general Chinese adult population. The present study recruited 8917 participants from 4 cities in Hebei province, China. Participants’ individual exposure to air pollutants was evaluated by the Empirical Bayesian Kriging statistical model in ArcGIS10.2 geographic information system. Dyslipidemia was defined according to Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults. Subjects were grouped into normal, prediabetes, diabetes according to FBG level. Generalized linear models were applied to analyze the interaction of air pollutants and FBG on dyslipidemia prevalence. The prevalence of dyslipidemia was 43.83% in our investigation. After adjusting all covariates, we found the risk of four air pollutants (PM_2.5, PM₁₀, NO₂, SO₂) on dyslipidemia prevalence was stronger as higher FBG level, and the adjusted odd ratio of interaction (OR_inter (95% CI)) between PM_2.5, PM₁₀, NO₂, SO₂ and FBG levels on dyslipidemia was 1.171 (1.162, 1.189), 1.119 (1.111, 1.127), 1.124 (1.115, 1.130), 1.107 (1.098, 1.115), respectively. Stratified analyses indicated the modifying effects of FBG on the association of air pollution with dyslipidemia were stronger among male, less than 65 years old, overweight/obesity (all P_inter<0.1). Our study concluded that high FBG levels strengthened the risk of long-term exposure to air pollution on dyslipidemia, especially more noticeable in male, less than 65 years old, overweight.

PMID:35468441 | DOI:10.1016/j.ecoenv.2022.113537

J Psychiatr Res. 2022 Apr 18;151:78-85. doi: 10.1016/j.jpsychires.2022.03.066. Online ahead of print.

ABSTRACT

Despite the established effectiveness of evidence-based PTSD treatments, not everyone responds the same. Specifically, some individuals respond early while others respond minimally throughout treatment. Our ability to predict these trajectories at baseline has been limited. Predicting which individuals will respond to a certain type of treatment can significantly reduce short- and long-term costs and increase the ability to preemptively match individuals with treatments to which they are most likely to respond. In the present study, we examined whether veterans’ responses to a 3-week Cognitive Processing Therapy-based intensive PTSD treatment program could be accurately predicted prior to the first session. Using a sample of 432 veterans, and a wide range of demographic and clinical data collected during intake, we assessed six machine learning and statistical methods and their ability to predict fast and minimal responders prior to treatment initiation. For fast response classification, gradient boosted models (GBM) had the highest AUC-PR (0.466). For minimal response classification, elastic net (EN) had the highest mean CV AUC-PR (0.628). Using the best performing classifiers, we were able to predict both fast and minimal responders prior to starting treatment with relatively high AUC-ROC of 0.765 (GBM) and 0.826 (EN), respectively. These results may inform treatment modifications, although the accuracy may not be sufficient for clinicians to base inclusion/exclusion decisions entirely on the classifiers. Future research should evaluate whether these classifiers can be expanded to predict to which treatment type(s) an individual is most likely to respond based on various clinical, circumstantial, and biological features.

PMID:35468429 | DOI:10.1016/j.jpsychires.2022.03.066