Category: Statistics

Perspect Psychiatr Care. 2022 Feb 13. doi: 10.1111/ppc.13056. Online ahead of print.

ABSTRACT

PURPOSE: This study investigates the relationships between social media addiction and social and emotional loneliness in university students.

METHODS: This is a descriptive, correlational study. Data were collected from 555 university students. The study data were then collected through an online survey. The data were analyzed using the descriptive statistics, Mann-Whitney U test, the Kruskal Wallis analysis, and Spearman correlation.

RESULTS: Higher and statistically significant levels of loneliness were found in males, single students, students displaying poor academic performance, and learners who perceived their economic situation as worse than the other groups (p ≤ 0.005). A positive and significant relationship association was noted between the aggregate social media scores of students and their total loneliness scores (r = 0.196 p = 0.000) (p < 0.05).

PRACTICE IMPLICATIONS: Social skills training should be provided to young social media users. Young people should be offered social support resources and ways to reduce loneliness, such as listening to music, exercising, and doing yoga.

PMID:35152424 | DOI:10.1111/ppc.13056

Methods Mol Biol. 2022;2462:201-219. doi: 10.1007/978-1-0716-2156-1_16.

ABSTRACT

Drought stress is a serious agronomic problem resulting in significant yield losses globally. Breeding cultivars with drought tolerance is an important strategy that can be used to address this problem. Drought tolerance, however, is a complex multigenic trait, making advancements with conventional breeding approaches very challenging. This emphasizes the importance of dissecting the genetics of this trait and the identification and cloning of genes responsible for drought tolerance. With the rapid development of sequencing technologies and analytic methodologies, genome-wide association study (GWAS) has become an important tool for detecting natural variations underlying complex traits in crops. Identified loci can serve as targets for genomic selection or precise editing that enables the molecular design of new cultivars. This chapter describes the pipeline of statistical methods used in GWAS analysis, and covers field design, quality control, population structure control, association tests, and visualization of data. GWAS methodology used to dissect the genetic basis of drought tolerance is presented, and perspectives for optimizing the design and analysis of GWAS are discussed. The provided information serves as a valuable resource for researchers interested in GWAS technology.

PMID:35152391 | DOI:10.1007/978-1-0716-2156-1_16

Acta Psychiatr Scand. 2022 Feb 12. doi: 10.1111/acps.13408. Online ahead of print.

ABSTRACT

OBJECTIVE: There is limited evidence that adding an antidepressant to electroconvulsive therapy (ECT), compared with ECT monotherapy, improves outcomes. We aimed to determine whether the addition of nortriptyline to ECT enhances its efficacy and prevents post-ECT relapse.

METHODS: We conducted a randomized, double-blind, placebo-controlled trial (RCT). Patients with major depressive disorder and an indication for ECT received either nortriptyline or placebo during a bilateral ECT course. Outcome measures were mean decrease in Hamilton Rating Scale for Depression (HRSD) score, response, remission, and time to response and remission. Patients who attained remission participated in a one-year follow-up study with open-label nortriptyline. Outcome measures were relapse and time to relapse.

RESULTS: We included 47 patients in the RCT. In the nortriptyline group, 83% showed response, 74% attained remission, and the mean decrease in HRSD score was 21.6 points. In the placebo group these figures were, respectively, 81% (p=0.945), 73% (p=0.928) and 20.7 points (p=0.748). Thirty-one patients participated in the follow-up study. In patients who had received nortriptyline during the RCT, 47% relapsed at a mean of 34.2 weeks. Patients who had received placebo showed similar treatment results. In both study phases no statistically significant differences between the nortriptyline and the placebo group were found.

CONCLUSION: In our sample of severely depressed patients who were often medication resistant and suffering from psychotic depression, the addition of nortriptyline to ECT did not enhance its efficacy or prevent post-ECT relapse. Encouragingly, even in these patients ECT was highly effective and relapse rates were relatively low.

PMID:35152416 | DOI:10.1111/acps.13408

Curr Top Behav Neurosci. 2022 Feb 14. doi: 10.1007/7854_2021_293. Online ahead of print.

ABSTRACT

Anhedonia, or the decreased ability to experience pleasure, is a cardinal symptom of major depression that commonly occurs within other forms of psychopathology. Supportive of long-held theory that anhedonia represents a genetically influenced vulnerability marker for depression, evidence from twin studies suggests that it is moderately-largely heritable. However, the genomic sources of this heritability are just beginning to be understood. In this review, we survey what is known about the genomic architecture underlying anhedonia and related constructs. We briefly review twin and initial candidate gene studies before focusing on genome-wide association study (GWAS) and polygenic efforts. As large samples are needed to reliably detect the small effects that typically characterize common genetic variants, the study of anhedonia and related phenotypes conflicts with current genomic research requirements and frameworks that prioritize sample size over precise phenotyping. This has resulted in few and underpowered studies of anhedonia-related constructs that have largely failed to reliably identify individual variants. Nonetheless, the polygenic architecture of anhedonia-related constructs identified in these studies has genetic overlap with depression and schizophrenia as well as related brain structure (e.g., striatal volume), providing important clues to etiology that may usefully guide refinement in nosology. As we await the accumulation of larger samples for more well-powered GWAS of reward-related constructs, novel analytic techniques that leverage GWAS summary statistics (e.g., genomic structural equation modeling) may currently be used to help characterize how the genomic architecture of anhedonia is shared and distinct from that underlying other constructs (e.g., depression, neuroticism, anxiety).

PMID:35152374 | DOI:10.1007/7854_2021_293

Int J Colorectal Dis. 2022 Feb 13. doi: 10.1007/s00384-022-04101-1. Online ahead of print.

ABSTRACT

BACKGROUND: This systematic review and meta-analysis studied the role of high (HL) versus low (LL) inferior mesenteric artery (IMA) ligation on genitourinary and defecatory dysfunction in patients who had undergone resection for rectal cancer (RC).

METHODS: A systematic literature search of four major databases was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Randomized controlled trials (RCTs) comparing HL and LL of IMA in RC surgery were identified. Those studies that looked at genitourinary or defecatory dysfunction were included. Random-effects modeling to summarize statistics was performed. The risk of bias was assessed using Cochrane’s Risk-of-Bias tool 2.

RESULTS: Three RCTs were included. There was clinical heterogeneity with regard to cancer stage and location as well as operative techniques and adjuvant treatments. Functional outcomes (FO) that were reported by at least two studies were International Consultation on Incontinence Questionnaire (ICIQ), International Index for Erectile Function (IIEF), Jorge-Wexner incontinence score (J-W). Difference was observed in ICIQ at 9 months after surgery favoring LL (standard mean difference: – 0.66; 95% confidence intervals (CI): – 0.92, – 0.40; P = 0.37; I 2 = 0%). Difference was also observed in IIEF at 9 months favoring LL (mean difference: 7.43; CI: 1.86, 13.00; P = 0.16; I 2 = 50%).

CONCLUSIONS: Although our study has demonstrated the superiority of LL in genitourinary function preservation, these results should be taken with consciousness due to significant heterogeneity between included studies, small sample size, and potential bias. More high-quality studies are needed.

PROSPERO: CRD4202121099 https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021210998.

PMID:35152339 | DOI:10.1007/s00384-022-04101-1

Ann Surg Oncol. 2022 Feb 12. doi: 10.1245/s10434-021-11286-2. Online ahead of print.

NO ABSTRACT

PMID:35152359 | DOI:10.1245/s10434-021-11286-2

Thorac Cardiovasc Surg. 2022 Feb 12. doi: 10.1055/s-0042-1742686. Online ahead of print.

ABSTRACT

OBJECTIVES: Aortic stenosis is highly prevalent among patients with concomitant coronary artery disease. Surgical aortic valve replacement with coronary artery bypass grafting is usually the treatment of choice for patients with severe aortic stenosis and significant coronary disease. The aim of this study was to evaluate the outcome and hemodynamic results of the implantation of rapid-deployment valves (Rapid-Deployment Edwards Intuity Valve System [RDAVR]) versus conventional sutured valves (CSAVR) in combined surgery.

METHODS: Between January 2012 and January 2017, 120 patients underwent replacement via RDAVR and 133 patients underwent replacement using CSAVR with concomitant coronary bypass grafting. Clinical and echocardiographic data were compared.

RESULTS: The mean age was 76 ± 7 for RDAVR patients and 74 ± 6 years for CSAVR patients (p = 0.054); 48% in the RDAVR group were female versus 17% in the CSAVR group (p <0.002). Other characteristics such as diabetes mellitus, body-mass index, chronic obstructive pulmonary disease, nicotine consumption, and extracardiac arteriopathy were similar. Coronary three-vessel disease was more common in the RDAVR group (42.5 vs. 27.8%, p = 0.017). Both mean EuroSCORE II (6.6 ± 5.4 vs. 4.3 ± 3.0, p = 0.001) and STS score (5.4 ± 4.4 vs. 3.4 ± 2.4, p = 0.001) were significantly higher in the RDAVR group. Mean cross-clamp time (82 ± 25 vs. 100 ± 30 minutes, p < 0.001) and cardiopulmonary bypass time (119 ± 38 vs. 147 ± 53 minutes, p < 0.001) were shorter with RDAVR. The mean number of bypass grafts, length of hospital and ICU stays, and mechanical ventilation time were not statistically significant different. Hospital mortality was 2.5% for RDAVR and 9.7% for CSAVR (p = 0.019). There was a similar rate of stroke (5.8 vs. 6.0%, p = 0.990) and postoperative delirium (14.1 vs. 15.8%, p = 0.728). Mean gradients were 8.2 ± 4.1 mm Hg in the RDAVR group vs. 11.3 ± 4.6 mm Hg in the CSAVR group (p = 0.001) at discharge.

CONCLUSION: RDAVR combined with coronary artery bypass grafting (CABG) can be performed extremely safely. Cross-clamp and cardiopulmonary bypass times can be significantly reduced with rapid deployment aortic valve system in the scenario of combined CABG. RDAVR resulted in lower gradients than CSAVR in patients implanted with prostheses of the same size.

PMID:35151232 | DOI:10.1055/s-0042-1742686

Brief Bioinform. 2022 Feb 13:bbab608. doi: 10.1093/bib/bbab608. Online ahead of print.

ABSTRACT

Identifying differential genes over conditions provides insights into the mechanisms of biological processes and disease progression. Here we present an approach, the Kullback-Leibler divergence-based differential distribution (klDD), which provides a flexible framework for quantifying changes in higher-order statistical information of genes including mean and variance/covariation. The method can well detect subtle differences in gene expression distributions in contrast to mean or variance shifts of the existing methods. In addition to effectively identifying informational genes in terms of differential distribution, klDD can be directly applied to cancer subtyping, single-cell clustering and disease early-warning detection, which were all validated by various benchmark datasets.

PMID:35151228 | DOI:10.1093/bib/bbab608

Methods Inf Med. 2022 Feb 12. doi: 10.1055/s-0042-1742672. Online ahead of print.

ABSTRACT

BACKGROUND: Prediction models inform decisions in many areas of medicine. Most models are fitted once and then applied to new (future) patients, despite the fact that model coefficients can vary over time due to changes in patients’ clinical characteristics and disease risk. However, the optimal method to detect changes in model parameters has not been rigorously assessed.

METHODS: We simulated data, informed by post-lung transplant mortality data and tested the following two approaches for detecting model change: (1) the “Direct Approach,” it compares coefficients of the model refit on recent data to those at baseline; and (2) “Calibration Regression,” it fits a logistic regression model of the log-odds of the observed outcomes versus the linear predictor from the baseline model (i.e., the log-odds of the predicted probabilities obtained from the baseline model) and tests whether the intercept and slope differ from 0 and 1, respectively. Four scenarios were simulated using logistic regression for binary outcomes as follows: (1) we fixed all model parameters, (2) we varied the outcome prevalence between 0.1 and 0.2, (3) we varied the coefficient of one of the ten predictors between 0.2 and 0.4, and (4) we varied the outcome prevalence and coefficient of one predictor simultaneously.

RESULTS: Calibration regression tended to detect changes sooner than the Direct Approach, with better performance (e.g., larger proportion of true claims). When the sample size was large, both methods performed well. When two parameters changed simultaneously, neither method performed well.

CONCLUSION: Neither change detection method examined here proved optimal under all circumstances. However, our results suggest that if one is interested in detecting a change in overall incidence of an outcome (e.g., intercept), the Calibration Regression method may be superior to the Direct Approach. Conversely, if one is interested in detecting a change in other model covariates (e.g., slope), the Direct Approach may be superior.

PMID:35151231 | DOI:10.1055/s-0042-1742672

Pregnancy Hypertens. 2022 Feb 8;28:21-27. doi: 10.1016/j.preghy.2022.02.001. Online ahead of print.

ABSTRACT

OBJECTIVES: Analyze secular trends of preeclampsia in Norway based on risk factors.

STUDY DESIGN: Population-based cohort study of 1,153,227 women using data from Medical Birth Registry of Norway from 1999 to 2018. Aggregated data from Norwegian Prescription Database from 2004 to 2018 were used. Main exposure variable was time period. Descriptive statistics identified the prevalence of preeclampsia, labor induction and aspirin use. Multiple logistic regression analysis was performed to estimate the risk of preeclampsia during the time periods.

MAIN OUTCOME MEASURES: Preeclampsia.

RESULTS: Overall preeclampsia prevalence decreased from 4.3% in 1999-2002 to 2.7% in 2015-2018. A reduction was observed in all subgroups of women with known risk factors (age, nulliparity, diabetes, chronic hypertension, assisted reproduction, twin pregnancy). Adjusted risk of preeclampsia was reduced by 44% from 1999-2002 to 2015-2018 (aOR = 0.56, 95%CI 0.54, 0.58), while the net prevalence of gestational hypertension remained stable over the study period. Labor induction increased 104%. Aspirin prescriptions increased among fertile women in the general Norwegian population.

CONCLUSIONS: Preeclampsia prevalence and risk were reduced regardless of risk factors and despite an increased proportion of high-risk parturients (advanced age, lower parity, use of assisted reproduction). A corresponding increase in aspirin prescriptions among fertile women and an overall increase in labor inductions were also observed, suggesting that clinical interventions may partly explain the observed reduction in preeclampsia prevalence. Lower average blood pressure and improved health in the population may also explain some of the reduction.

PMID:35151209 | DOI:10.1016/j.preghy.2022.02.001