Categories
Nevin Manimala Statistics

Nurse students’ perception of the academic learning environment in Tunisian institutes of nursing sciences: A multisite cross-sectional study

Nurse Educ Today. 2022 Feb 27;111:105316. doi: 10.1016/j.nedt.2022.105316. Online ahead of print.

ABSTRACT

BACKGROUND: A learning environment is an important determinant of students’ learning behaviours, professional competencies, and academic performances. It is also an essential indicator of the quality of teaching programmes. To date, there is not a Tunisian study, that analysed nurse students’ perceptions of the educational environment.

AIMS: This study aimed to assess the perception of Tunisian higher nursing institutes students regarding the quality of the learning environment, and identify the factors associated with it.

DESIGN: Multi-site cross-sectional survey.

SETTING: Five universities of nursing sciences in Tunisia.

PARTICIPANTS: Undergraduate nursing students (n = 736).

METHODS: A cross-sectional descriptive study was conducted during the academic year 2019-2020. The Dundee Ready Educational Environment Measure (DREEM) questionnaire was used to describe the students’ perceptions of the learning environment. The participants were recruited using a convenience sampling method. Statistical analyses were performed using SPSS version 20. One-way analysis of variance and t-test were used to compare the DREEM scores and socio-demographic/academic characteristics. A p-value of less than 0.05 was considered significant.

RESULTS: The mean overall DREEM score was 110.92 ± 20.55, indicating a positive perception of the learning environment. The year of study was significantly associated with total DREEM scores, with first-year students scoring higher than third- and second-year students (p = 0.035). The perception of the learning environment varied significantly among the five institutes (p < 10-3). Demotivated atmosphere, lack of a support system, poor timetable organisation, and teacher-centred learning were revealed as problematic areas that needed improvement (individual score < 2). Our adapted version of the DREEM obtained acceptable internal consistency (Cronbach’s alpha coefficient of 0.881).

CONCLUSIONS: The study reported positive perceptions of the students regarding their academic learning environment. However, the DREEM scores reflected a traditional learning environment. It is essential to re-engineer the curriculum and shift the teaching paradigm towards ‘student-centred curriculum’ to enhance both the effectiveness and the efficiency of the learning environment.

PMID:35287064 | DOI:10.1016/j.nedt.2022.105316

Categories
Nevin Manimala Statistics

Corrigendum to “Suicide death over the first year of lithium versus valproate treatment in cohorts with and without bipolar disorder” [J. Psychiatr. Res. 147 (2021 Dec 15) 349-356]

J Psychiatr Res. 2022 Mar 11;149:209. doi: 10.1016/j.jpsychires.2022.02.020. Online ahead of print.

NO ABSTRACT

PMID:35287050 | DOI:10.1016/j.jpsychires.2022.02.020

Categories
Nevin Manimala Statistics

Effect of chronic alcohol consumption on brain structure in males with alcohol use disorder without a familiar history of alcoholism

J Psychiatr Res. 2022 Mar 8;149:210-216. doi: 10.1016/j.jpsychires.2022.03.005. Online ahead of print.

ABSTRACT

Structural brain damages caused by chronic alcohol consumption have been extensively reported. However, the neuroimaging findings in people with alcohol use disorder (AUD) are relatively inconsistent. This inconsistency may be due to the influence of different variables that are not always considered, such as the presence of a family history of alcoholism (FHA). The main aim of this research is to study the gray (GM) and white matter (WM) volumes in male participants with AUD without FHA compared to healthy control males (HC) without FHA. For this study, we included 19 participants with AUD without FHA and 18 HC males without FHA. T1-weighted images were acquired with a General Electric Signa Exite 1.5 T scanner. GM and WM tissues were calculated using Diffeomorphic Anatomical Registration Through Exponentiated Lie algebra (DARTEL). All analyses were controlled for age and total brain volume. The statistical threshold was calculated with AlphaSim and further adjusted to account for the non-isotropic smoothness of structural images, according to Hayasaka et al. (2004). The obtained main results showed that, relative to the HC group, the participants with AUD without FHA had significantly lower GM in several brain structures, reflecting relatively purely the effects of chronic alcohol intake on brain volume. GM structure integrity is relevant for the efficient functioning of low and high-order cognitive processes used in everyday life, and its damage seems to be related to the severity/intensity/chronicity of the AUD. As such, it becomes relevant to assess and follow brain structural changes through the dependence course.

PMID:35287051 | DOI:10.1016/j.jpsychires.2022.03.005

Categories
Nevin Manimala Statistics

Profiles of post-migration stressors and mental health in refugees: A latent class analysis

Psychiatry Res. 2022 Mar 6;311:114494. doi: 10.1016/j.psychres.2022.114494. Online ahead of print.

ABSTRACT

Studies have documented the mental health effects of pre-migration trauma on resettled refugees and identified distinct psychological symptom profiles using person centred statistical techniques (e.g., latent class analysis; LCA). These techniques have advanced our understanding of the complex presentation of trauma and psychopathology in refugees. The current study employs LCA to examine patterns of exposure to stressors including post-migration stressors, allowing us to identify patterns of post-migration stress exposure and their association with mental health outcomes. Participants were 1085 Arabic, Farsi, Tamil, or English speaking adult refugees. Pre-migration trauma, post-migration stressors, PTSD, depression, anger, and functional impairment was measured. LCA was conducted to identify distinct classes of post-migration stressors and associations with mental health and adjustment in the resettlement environment. Latent class analysis revealed 5 classes of participants: high difficulties class (7.2%), immigration fear class (14.4%), social disconnection class (17.3%), moderate difficulties class (28.9%) and a low difficulties class (32.3%). Each of the five classes shared commonalities in addition to key differences associated with specific demographic characteristics and psychopathology. Post-migration stressors appear to map onto distinct profiles, which uniquely contribute to functional impairment and mental health outcomes in refugees. These findings have substantial implications for public health and social services working with resettled refugee communities.

PMID:35287045 | DOI:10.1016/j.psychres.2022.114494

Categories
Nevin Manimala Statistics

Recovery from opioid use disorder: A 4-year post-clinical trial outcomes study

Drug Alcohol Depend. 2022 Mar 9;234:109389. doi: 10.1016/j.drugalcdep.2022.109389. Online ahead of print.

ABSTRACT

BACKGROUND: Opioid use disorder (OUD) seriously impacts public health in the United States. However, few investigations of long-term outcomes following treatment with medication for OUD exist. Additionally, these studies have prioritized opioid use and treatment utilization outcomes, and a gap in knowledge regarding long-term, multidimensional trajectories of OUD recovery exists. This study investigated a diverse array of outcomes for individuals with OUD at an average of 4.2 years post clinical trial participation.

METHODS: Individuals who previously participated in long-acting buprenorphine subcutaneous injection clinical trials (NCT023579011; NCT025100142; NCT02896296) and enrolled in The Remission from Chronic Opioid Use-Studying Environmental and SocioEconomic Factors on Recovery (RECOVER; NCT03604861) Study participated in a follow up assessment (n = 216). Substance use, psychosocial, opioid dependence, and delay discounting outcomes were assessed. Regression analyses were conducted to determine significant associations between psychosocial/opioid dependence variables and both recent opioid use and delay discounting.

RESULTS: The majority of participants reported abstinence from opioids since the last RECOVER study assessment (mean 2.26 years; 55%) and in the past 30 days (69%). Participants reported low levels of depression and psychological distress. Positive associations between depression and opioid craving with past 30-day opioid misuse and delay discounting, and negative associations between quality of life and treatment effectiveness with these outcomes were observed.

CONCLUSIONS: This study examined longer term OUD recovery outcomes. Participants reported high levels of abstinence from opioids and psychosocial functioning. These encouraging results highlight the multidimensional nature of recovery from OUD, and further support the effectiveness of buprenorphine as an OUD treatment.

PMID:35287034 | DOI:10.1016/j.drugalcdep.2022.109389

Categories
Nevin Manimala Statistics

Study on the Correlation between different Levels of Patients with Vertebrobasilar Dolichoectasia and Posterior Circulation Blood Perfusion

J Stroke Cerebrovasc Dis. 2022 Mar 11;31(5):106378. doi: 10.1016/j.jstrokecerebrovasdis.2022.106378. Online ahead of print.

ABSTRACT

OBJECTIVE: This study investigates the differences and changing trend of posterior circulation blood perfusion between different levels of vertebrobasilar dolichoectasia(VBD) patients. The relationship between the deviation of the basilar artery(BA) in different directions and the location of pontine infarction are also investigated.

METHODS: A cohort of 106 patients(74 males and 32 females) who satisfied the diagnostic criteria for VBD were recruited for this study and classified according to the bifurcation height and the deviation position of the BA, as well as the measured blood perfusion value of the pontine, which includes rCBF, rCBV, MTT, and TTP.

RESULTS: Out of the 106 patients, 19 cases were classified as Level 1, 74 cases were classified as Level 2, and 13 cases were classified as Level 3. The different levels between the VBD groups were statistically significant (P<0.05, P<0.01), and it was found that as the level increases, rCBF and rCBV gradually decreased, while MTT and TTP gradually increased. The statistic results of different perfusion parameters were also significant, when pairwise comparisons between Level 1 and Level 3, and Level 2 and Level 3 were performed. However, when comparing Level 1 and Level 2, only the TTP showed significant result. Among 106 patients, 22 cases had brainstem infarction, 13 cases had left brainstem infarction, 8 cases had right brainstem infarction, and 1 case had brainstem infarction on both sides. Brainstem infarction generally occurs on the opposite side of the direction of BA deviation(P<0.05). Regardless of the BA was deviated to the left or right, perfusion analysis showed that there was significant difference in blood perfusion on both sides of the pontine when BA is deviated(P<0.05, P<0.01). The rCBF and rCBV on the contralateral side of deviation were lower than those on the same side, and the MTT and TTP were longer than those on the same side. There were 37 cases with vertebral artery dominance(VAD), 16 cases with left VAD, and 21 cases with right VAD. Statistical analysis showed that BA was more likely to deflect to the opposite side of the dominant artery(P<0.05), and compared with non-VAD, there was no significant difference in pontine blood perfusion (p>0.05).

CONCLUSION: As VBD level increases, rCBF and rCBV will gradually decreases while MTT and TTP showed sign of increasing. The location of brainstem infarction is opposite to the direction of the BA deviation, and BA is more likely to deviate to the opposite side of the dominant artery.

PMID:35287024 | DOI:10.1016/j.jstrokecerebrovasdis.2022.106378

Categories
Nevin Manimala Statistics

Machine Learning Improves Prediction Over Logistic Regression on Resected Colon Cancer Patients

J Surg Res. 2022 Mar 11;275:181-193. doi: 10.1016/j.jss.2022.01.012. Online ahead of print.

ABSTRACT

INTRODUCTION: Despite advances, readmission and mortality rates for surgical patients with colon cancer remain high. Prediction models using regression techniques allows for risk stratification to aid periprocedural care. Technological advances have enabled large data to be analyzed using machine learning (ML) algorithms. A national database of colon cancer patients was selected to determine whether ML methods better predict outcomes following surgery compared to conventional methods.

METHODS: Surgical colon cancer patients were identified using the 2013 National Cancer Database (NCDB). The negative outcome was defined as a composite of 30-d unplanned readmission and 30- and 90-d mortality. ML models, including Random Forest and XGBoost, were built and compared with conventional logistic regression. For the accounting of unbalanced outcomes, a synthetic minority oversampling technique (SMOTE) was implemented and applied using XGBoost.

RESULTS: Analysis included 528,060 patients. The negative outcome occurred in 11.6% of patients. Model building utilized 30 variables. The primary metric for model comparison was area under the curve (AUC). In comparison to logistic regression (AUC 0.730, 95% CI: 0.725-0.735), AUC’s for ML algorithms ranged between 0.748 and 0.757, with the Random Forest model (AUC 0.757, 95% CI: 0.752-0.762) outperforming XGBoost (AUC 0.756, 95% CI: 0.751-0.761) and XGBoost using SMOTE data (AUC 0.748, 95% CI: 0.743-0.753).

CONCLUSIONS: We show that a large registry of surgical colon cancer patients can be utilized to build ML models to improve outcome prediction with differential discriminative ability. These results reveal the potential of these methods to enhance risk prediction, leading to improved strategies to mitigate those risks.

PMID:35287027 | DOI:10.1016/j.jss.2022.01.012

Categories
Nevin Manimala Statistics

Advanced Material-oriented Biomass Precise Reconstruction: A Review on Porous Carbon with Inherited Natural Structure and Created Artificial Structure by Post-treatment

Macromol Biosci. 2022 Mar 14:e2100479. doi: 10.1002/mabi.202100479. Online ahead of print.

ABSTRACT

Manufacturing of porous carbon with biomass resources has been intensively investigated in recent decades. The diversity of biomass species and great variety of processing methods enable the structural richness of porous carbon as well as their wide applications. In this review, we specifically focused on the structure of biomass-derived porous carbon either inherited from natural biomass or created by post-treatment. The intrinsic structure of plant biomass was briefly introduced and the utilization of the unique structures at different length-scales were discussed. In term of post-treatment, the structural features of activated carbon by traditional physical and chemical activation were summarized and compared in a wide spectrum of biomass species, statistical analysis were performed to evaluate the effectiveness of different activation methods in creating specific pore structures. The similar pore structure of biomass-derived carbon and coal-derived carbon suggested a promising replacement with more sustainable biomass resources in producing porous carbon. In summary, using biomass as porous carbon precursor endows the flexibility of using its naturally patterned micro-structure and the tunability of controlled pore-creation by post treatment. This article is protected by copyright. All rights reserved.

PMID:35286776 | DOI:10.1002/mabi.202100479

Categories
Nevin Manimala Statistics

177 Lu-PSMA radioligand therapy effectiveness in metastatic castration-resistant prostate cancer: An updated systematic review and meta-analysis

Prostate. 2022 Mar 14. doi: 10.1002/pros.24325. Online ahead of print.

ABSTRACT

BACKGROUND: An updated systematic review and meta-analysis of relevant studies to evaluate the effectiveness of prostate-specific membrane antigen (PSMA)-targeted endoradiotherapy/radioligand therapy (PRLT) in castration resistant prostate cancer (CRPC).

METHODS: A systematic search was performed in July 2020 using PubMed/Medline database to update our prior systematic review. The search was limited to papers published from 2019 to June 2020. A total of 472 papers were reviewed. The studied parameters included pooled proportion of patients showing any or ≥50% prostate-specific antigen (PSA) decline after PRLT. Survival effects of PRLT were assessed based on pooled hazard ratios (HRs) of the overall survival (OS) according to any PSA as well as ≥50% PSA decline after PRLT. Response to therapy based on ≥50% PSA decrease after PRLT versus controls was evaluated using Mantel-Haenszel random effect meta-analysis. All p values < 0.05 were considered as statistically significant.

RESULTS: A total of 45 publications were added to the prior 24 studies. 69 papers with total of 4157 patients were included for meta-analysis. Meta-analysis of the two recent randomized controlled trials showed that patients treated with 177 Lu-PSMA 617 had a significantly higher response to therapy compared to controls based on ≥50% PSA decrease. Meta-analysis of the HRs of OS according to any PSA decline and ≥50% PSA decline showed survival prolongation after PRLT.

CONCLUSIONS: PRLT results in higher proportion of patients responding to therapy based on ≥50% PSA decline compared to controls. Any PSA decline and ≥50% PSA decline showed survival prolongation after PRLT.

ADVANCES IN KNOWLEDGE: This is the first meta-analysis to aggregate the recent randomized controlled trials of PRLT which shows CRPC patients had a higher response to therapy after PRLT compared to controls.

PMID:35286735 | DOI:10.1002/pros.24325

Categories
Nevin Manimala Statistics

Craniofacial characteristics in Van der Woude syndrome

Oral Dis. 2022 Mar 14. doi: 10.1111/odi.14187. Online ahead of print.

ABSTRACT

AIM: To describe the particular craniofacial characteristics of Van der Woude syndrome(VWS) patients compared to patients with a non-syndromic cleft(CG1) and to a malocclusive healthy population(CG2).

MATERIAL AND METHODS: Retrospective case-control study. A sample of 110matched-patients was recruited(VWS(n=7),CG1(n=49),CG2(n=49)).Subsequently, 37 radiometric-variables were analysed and the dental-skeletal ages were determined. The intra/inter-observer method errors were quantified.Descriptive statistics were computed, and different inferential analysis tests were used depending on the normality of the data(Chi-square-test,Fisher-exact-test,paired-Student’sT-test,Mann-Whitney´s-test)(p-value<0.05).Pairwise comparisons were corrected by Bonferroni´s criteria.

RESULTS: VW-patients presented specific craniofacial characteristics and morphology. A marked tendency to the vertical growth pattern was found in VW-patients compared to CG1-CG2(p<0.001); at the sagittal level, skeletal class II caused by mandibular retrognathism, with a greatly increased ANB angle compared to CG1(p=0.042). Dental analysis showed that the lower incisor was more retruded and retroclined(p<0.05 in all cases)and the interincisal angulation was increased(p<0.001(CG2)).At the profile level, an open nasolabial angle(p=0.040;CG1) and a more protruding lower lip with respect to the Sn-Pg plane(p=0.040(CG1);p=0.044(CG2))were observed.

CONCLUSIONS: VW-patients present particular characteristics in the facial skeletal structures. There is a critical necessity to increase the evidence regarding specific clinical features and orofacial pathology of rare diseases such as VWS, which will help to these minorities to gain access in the future to a better quality of care with precise treatment and diagnostic necessities.

PMID:35286743 | DOI:10.1111/odi.14187