Longitudinal multisite study of the chronobiological control of chronic pain: the CircaHealth CircaPain study protocol.

INTRODUCTION: One in five Canadians lives with chronic pain. Evidence shows that some individuals experience pain that fluctuates in intensity following a circadian (24-hour) rhythm. Endogenous molecular rhythms regulate the function of physiological processes that govern pain mechanisms. Addressing chronic pain rhythmicity on a molecular and biopsychosocial level can advance understanding of the disease and identify new treatment/management strategies. Our CircaHealth CircaPain study uses an online survey combined with ecological momentary assessments and biosample collection to investigate the circadian control of chronic pain and identify potential biomarkers. Our primary objective is to understand interindividual variability in pain rhythmicity, by collecting biopsychosocial measures. The secondary objective accounts for seasonal variability and the effect of latitude on rhythmicity. METHODS AND ANALYSIS: Following completion of a baseline questionnaire, participants complete a series of electronic symptom-tracking diaries to rate their pain intensity, negative affect, fatigue and stress on a 0-10 scale at 8:00, 14:00 and 20:00 daily over 10 days. These measures are repeated at 6 and 12 months postenrolment to account for potential seasonal changes. We aim to recruit ≥2500 adults with chronic pain within Canada. Infrastructure is being developed to facilitate the collection of blood samples from subgroups of participants (~800) two times per day over 24-48 hours to identify rhythmic expression of circulating genes and/or proteins. ETHICS AND DISSEMINATION: Ethical approval for this study was obtained by the Queen's University Health Sciences and Affiliated Teaching Hospitals Research Ethics Board (File No. 6038114). Participants provide informed consent to participate, and their data will not be identifiable in any publication or report. Findings will be published in a relevant scientific journal and disseminated at scientific meetings and online webinars. We maintain a website to post updated resources and engage with the community. We employ knowledge mobilisation in the form of direct data sharing with participants.

Impact of the End PJ Paralysis interventions on patient health outcomes at the participating hospitals in Alberta, Canada.

PURPOSE: Multiple hospitals in Alberta implemented the End PJ Paralysis - a multicomponent inpatient ambulation initiative aimed at preventing the adverse physical and psychological effects patients experience due to low mobility during admission. To inform a scale-up strategy, this study assessed the impact of the initiative based on select process and outcome measures. MATERIALS AND METHODS: Clinical and administrative data were obtained from the hospital Discharge Abstract Database, Research Electronic Data Capture (Redcaps), and Reporting and Learning System for Patient Safety. The variables explored were length of stay, inpatient falls, discharge disposition, pressure injury, patient ambulation, and patient dressed rates. We then used the Interrupted Time Series design for impact analysis. RESULTS: The analysis included discharge abstracts for 32,884 patients and the results showed significant improvements in outcomes at the participating units. The length of stay and inpatient falls were reduced immediately by 1.8 days (B2=-1.80, p = 0.044, 95% CI [-3.54, -0.05]), and 2.2 events (B2=-2.22, p = 005, 95% CI [-3.75, -0.69]). The percentage of patients discharged home increased overtime (B2=.39, p=.006, 95% CI [.11, .66]). Mobilization and dressed rates also improved. CONCLUSIONS: The findings imply the interventions safely mitigated the risk of immobility-induced complications, including deconditioning and hospital-acquired disability.

Immobility during hospitalization is endemic in hospitals and, without intervention, presents a significant risk of physiological deconditioning and subsequent adverse health outcomes, such as functional decline and hospital-acquired disability.This study elevates the importance of preserving functional capacity and dignity of hospitalized patients by encouraging them to get up, dress in personal clothes, and move as much possible.Function-focused initiatives, that include intentional patient ambulation, have the potential to mitigate the risk of immobility-induced deconditioning and other adverse outcomes, such as falls and pressure injury, in older adults.In this study, we have demonstrated the End PJ Paralysis had a positive impact on patient ambulation, length of stay, inpatient falls, and discharge disposition.The study also informed a proposed transformational roadmap to strengthen rehabilitation in the provincial health system and spread the initiative to all the major hospitals to potentially benefit more patients.

Predicting long-term survival after de novo cardioverter-defibrillator implantation for primary prevention: A population based study.

Background: Implantable cardioverter-defibrillators (ICDs) reduce the risk of sudden cardiac death in patients with left ventricular dysfunction. While short-term mortality benefit of ICD insertion has been established in landmark randomized controlled trials, little is known about the long-term outcomes of patients with ICDs in clinical practice. In this paper, we describe the long-term survival of patients following de novo ICD implantation for primary prevention in clinical practice and determine the factors which help predict survival after ICD implant. Methods: Retrospective population-based study of all patients receiving a de novo ICD for primary prevention in Ontario, Canada from 2007 to 2011 using the Ontario ICD Database housed within ICES. Simple random selection was used to split the population into a derivation and internal validation cohort in a ratio of 2:1. Cox proportional hazards regression was used to determine predictors of interest and predict 10-year survival, model performance was assessed using calibration and validation. Results: In the derivation cohort (n = 3399), mean age was 65.3 years (standard deviation [SD] = 11.0), 664 patients were female (19.5 %) and 2344 patients (69.0 %) had ischemic cardiomyopathy. Ten year survival was 45.7 % (95 % confidence interval [CI] 44.0 %-47.4 %). The final prediction model included age, sex, disease factors (ischemic vs nonischemic cardiomyopathy, left ventricular ejection fraction) and patient factors (symptoms, comorbidities), and biomarkers at the time of ICD assessment. This model had good discrimination and calibration in derivation (0.79, 95 % CI 0.77, 0.81) and validation samples (0.78, 95 % CI 0.76, 0.79). Conclusions: A combination of demographic and clinical factors determined at baseline can be used to predict 10-year survival in patients with implantable cardioverter-defibrillators with good accuracy. Our findings help to identify individuals at risk of long-term mortality and may be useful in targeting future prevention strategies to enhance longevity in this high-risk population.

Clinical phenotypes of cardiogenic shock survivors: insights into late host responses and long-term outcomes.

AIMS: An elevated risk of adverse events persists for years in cardiogenic shock (CS) survivors with high mortality rate and physical/mental disability. This study aims to link clinical CS-survivor phenotypes with distinct late host-response patterns at intensive care unit (ICU) discharge and long-term outcomes using model-based clustering. METHODS AND RESULTS: In the original prospective, observational, international French and European Outcome Registry in Intensive Care Units (FROG-ICU) study, ICU patients with CS on admission were identified (N = 228). Among them, 173 were discharged alive from the ICU and included in the current study. Latent class analysis was applied to identify distinct CS-survivor phenotypes at ICU discharge using 15 readily available clinical and laboratory variables. The primary endpoint was 1 year of mortality after ICU discharge. Secondary endpoints were readmission and physical/mental disability [short form-36 questionnaire (SF-36) score] within 1 year after ICU discharge. Two distinct phenotypes at ICU discharge were identified (A and B). Patients in Phenotype B (38%) were more anaemic and had higher circulating levels of lactate, sustained kidney injury, and persistent elevation in plasma markers of inflammation, myocardial fibrosis, and endothelial dysfunction compared with Phenotype A. They had also a higher rate of non-ischaemic origin of CS and right ventricular dysfunction on admission. CS survivors in Phenotype B had higher 1 year of mortality compared with Phenotype A (P = 0.045, Kaplan-Meier analysis). When adjusted for traditional risk factors (i.e. age, severity of illness, and duration of ICU stay), Phenotype B was independently associated with 1 year of mortality [adjusted hazard ratio = 2.83 (95% confidence interval 1.21-6.60); P = 0.016]. There was a significantly lower physical quality of life in Phenotype B patients at 3 months (i.e. SF-36 physical component score). CONCLUSIONS: A phenotype with sustained inflammation, myocardial fibrosis, and endothelial dysfunction at ICU discharge was identified from readily available data and was independently associated with poor long-term outcomes in CS survivors.

Identification of obstructive sleep apnea in children with obesity: A cluster analysis approach.

BACKGROUND: Obstructive sleep apnea (OSA) is a heterogeneous disorder with a prevalence of 25%-60% in children with obesity. There is a lack of diagnostic tools to identify those at high risk for OSA. METHOD: Children with obesity, aged 8-19 years old, were enrolled into an ongoing multicenter, prospective cohort study related to OSA. We performed k-means cluster analysis to identify clinical variables which could help identify obesity related OSA. RESULTS: In this study, 118 participants were included in the analysis; 40.7% were diagnosed with OSA, 46.6% were female and the mean (SD) body mass index (BMI) and age were 39.7 (9.6) Kg/m², and 14.4 (2.6) years, respectively. The mean (SD) obstructive apnea-hypopnea index (OAHI) was 11.0 (21.1) events/h. We identified two distinct clusters based on three clustering variables (age, BMI z-score, and neck-height ratio [NHR]). The prevalence of OSA in clusters 1 and 2, were 22.4% and 58.3% (p = 0.001), respectively. Children in cluster 2, in comparison to cluster 1, had higher BMI z-score (4.7 (1.1) versus 3.2 (0.7), p < 0.001), higher NHR (0.3 (0.02) versus 0.2 (0.01), p < 0.001) and were older (15.0 (2.2) versus 13.7 (2.9) years, p = 0.09), respectively. However, there were no significant differences in sex and OSA symptoms between the clusters. The results from hierarchical clustering were similar to k-means analysis suggesting that the resulting OSA clusters were stable to different analysis approaches. INTERPRETATION: BMI, NHR, and age are easily obtained in a clinical setting and can be utilized to identify children at high risk for OSA.

Joint clustering multiple longitudinal features: A comparison of methods and software packages with practical guidance.

Clustering longitudinal features is a common goal in medical studies to identify distinct disease developmental trajectories. Compared to clustering a single longitudinal feature, integrating multiple longitudinal features allows additional information to be incorporated into the clustering process, which may reveal co-existing longitudinal patterns and generate deeper biological insight. Despite its increasing importance and popularity, there is limited practical guidance for implementing cluster analysis approaches for multiple longitudinal features and evaluating their comparative performance in medical datasets. In this paper, we provide an overview of several commonly used approaches to clustering multiple longitudinal features, with an emphasis on application and implementation through R software. These methods can be broadly categorized into two categories, namely model-based (including frequentist and Bayesian) approaches and algorithm-based approaches. To evaluate their performance, we compare these approaches using real-life and simulated datasets. These results provide practical guidance to applied researchers who are interested in applying these approaches for clustering multiple longitudinal features. Recommendations for applied researchers and suggestions for future research in this area are also discussed.

Peroxiredoxin 1 transfer during mating protects eupyrene sperm against oxdative stress in Grapholita molesta.

BACKGROUND: Each Grapholita molesta female only copulates once during its lifetime and thus must maintain the viability of stored eupyrene sperm for male reproductive success. The male ejaculate comprises abundant accessory gland proteins produced by the male accessory gland (AG), and many of which are major effectors for sperm storage and maintenance. RESULTS: Here, we reported that an antioxidant protein, peroxiredoxin 1 (GmolPrx1), secreted by the male AG, is essential for protecting eupyrene sperm from oxidative stress and maintaining their quality during storage in the female bursa copulatrix (BC). Our data showed that GmolPrx1 is highly expressed in the AG of sexually mature males. The GmolPrx1 protein is localized to the cytoplasm of AG cells and delivered to the female BC during mating. Knockdown of GmolPrx1 strongly decreased the fertility of mated females. Additionally, we evaluated oxidative status in the spermatophore of females and found that the content of hydrogen peroxide increased significantly after mating with GmolPrx1 knockdown males. Finally, the quality assessment of eupyrene sperm demonstrated that the plasma membrane integrity, acrosome integrity, and DNA integrity were all severely impaired in the spermatophore of females after mating with GmolPrx1 knockdown males, which may contribute to the fertility decline in males. CONCLUSION: Our current data demonstrated that activities of eupyrene sperm stored in females can be significantly impaired by enhanced oxidative stress through knocking down of GmolPrx1 in males. Our finding thus may further lay new foundations for the control of G. molesta through suppressing their populations by manipulating male reproductive genes. © 2023 Society of Chemical Industry.

Bayesian approaches to variable selection in mixture models with application to disease clustering.

In biomedical research, cluster analysis is often performed to identify patient subgroups based on patients' characteristics or traits. In the model-based clustering for identifying patient subgroups, mixture models have played a fundamental role in modeling. While there is an increasing interest in using mixture modeling for identifying patient subgroups, little work has been done in selecting the predictors that are associated with the class assignment. In this study, we develop and compare two approaches to perform variable selection in the context of a mixture model to identify important predictors that are associated with the class assignment. These two approaches are the one-step approach and the stepwise approach. The former refers to an approach in which clustering and variable selection are performed simultaneously in one overall model, whereas the latter refers to an approach in which clustering and variable selection are performed in two sequential steps. We considered both shrinkage prior and spike-and-slab prior to select the importance of variables. Markov chain Monte Carlo algorithms are developed to estimate the posterior distribution of the model parameters. Practical applications and simulation studies are carried out to evaluate the clustering and variable selection performance of the proposed models.

Mindfulness on Rumination in Patients with Depressive Disorder: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Objective: To systematically evaluate the effectiveness of mindfulness-based interventions (MBIs) on rumination among patients with depression and their efficacy across countries and year of publication and control conditions. Methods: Web of Science Core Collection, Medline, BIOSIS Citation Index, KCI-Korean Journal Database, SciELO Citation Index, PubMed, Cochrane Library, and Embase were searched to include randomized controlled trials of MBIs for depressive rumination that met the criteria. The Rumination Scale was used as the primary outcome indicator; Depression, mindfulness, and anxiety indexes were selected as the secondary outcome indicators. An evaluation of bias risk was conducted to identify possible sources of bias based on methodological and clinical factors. RevMan5.3 software was used to perform a meta-analysis of the extracted data. Results: Nineteen studies with 1138 patients were included. Meta-analysis showed that MBIs could significantly reduce rumination levels in patients with depression (standardized mean difference (SMD) = −0.46; 95% confidence interval (CI): −0.58, −0.34; p < 0.001), notably improve depression (SMD = −0.58; 95% CI: −0.83, −0.32; p < 0.001), enhance mindfulness ability (SMD = 0.95; 95% CI: 0.57, 1.32; p < 0.001), and reduce the anxiety of patients with depression (SMD = −0.45, 95% CI: −0.62, −0.27; p < 0.001). MBIs conducted in Asia improved rumination better than studies in Europe and North America (SMD = −2.05 95% CI: −4.08, −0.01; p < 0.001) but had no greater effect than behavior activation on depression. The interventions carried out in the past 5 years were significantly better than earlier studies in improving mindfulness levels (SMD = 2.74; 95% CI: 0.81, 4.66; p = 0.005). Conclusions: MBIs are effective in the treatment of depression as they produce pleasant improvement in rumination and depression, decrease the degree of anxiety, and enhance mindfulness levels compared to controls. In newer forms of MBIs, regional differences need to be considered when designing the intervention program. More large, high-quality randomized controlled studies are needed to confirm the conclusion that the effectiveness of MBIs has differences in terms of the trial area and year of publication.

The effectiveness of exposure and response prevention combined with pharmacotherapy for obsessive-compulsive disorder: A systematic review and meta-analysis.

Objective: To systematically evaluate the effectiveness of exposure and response prevention (ERP) combined with medication on obsessive-compulsive disorder (OCD). Methods: PubMed, Web of Science, EBSCO, Cochrane, Embase, and Science Direct databases were searched to include randomized controlled trials of ERP combined with medication for OCD that met the criteria. The Yale Brown Obsessive Compulsive Scale was used as the primary outcome indicator, and Depression scales were used as secondary outcome indicators. An evaluation of bias risk was conducted to identify possible sources of bias based on methodological and clinical factors. Review Manager 5.3 and Stata 16.0 software was used to perform meta-analysis of the extracted data. Results: A total of 21 studies with 1113 patients were included. Meta-analysis showed that ERP combined with medication therapy was significantly better than medication therapy alone including selective serotonin reuptake inhibitors, clomipramine and risperidone (MD = -6.60, 95% CI: -8.35 to -4.84, P < 0.00001), but D-cycloserine (DCS) drugs do not enhance the effect of ERP intervention in patients with OCD (MD = 0.15, 95% CI: -0.87 to 1.17, P = 0.77). There is more significant maintenance by combined treatment method of medication plus ERP than medication treatment alone during the follow-up period (MD = -7.14, 95% CI: -9.17 to -5.10, P < 0.00001). DCS drugs did not enhance the effect of ERP intervention on depression in patients with OCD (SMD = -0.08, 95% CI: -0.31 to 0.15, P = 0.50). ERP combined with drug improved patients' depression levels significantly better than providing drug alone (SMD = -0.40, 95% CI: -0.68 to -0.11, P = 0.006). Conclusion: Patients with OCD have significant improvement in symptoms of obsessive-compulsive disorder and depression when ERP is combined with medication, however, not enough to prove that DCS can enhance ERP effectiveness.

Effects of childhood trauma on nonsuicidal self-injury in adolescent patients with bipolar II depression.

OBJECTIVE: This study was performed to explore the effect of childhood trauma on nonsuicidal self-injury (NSSI) in adolescents with bipolar II (BD II) depression. METHODS: Based on the diagnostic criteria of the DSM-5 and structured interviews to assess the presence or absence of NSSI, 184 adolescent patients with BD II depression were divided into the NSSI (n = 112) and non-NSSI (n = 72) groups. The Adolescent Nonsuicidal Self-Injury Assessment Questionnaire (ANSAQ), Childhood Trauma Questionnaire-Short Form (CTQ-SF), Toronto Alexithymia Scale (TAS-20), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAMA) were used to assess the subjects. RESULT: The CTQ-SF, HAMD, HAMA, and TAS-20 scores were significantly higher in the NSSI group than in the non-NSSI group (p < .01). Logistic regression analysis showed emotional abuse (p = .028, OR = 1.14, 95% CI = 1.01-1.28) and age of onset (p = .009) as risk factors for NSSI. Adolescents with onset age 12-13 years (OR = 6.30, 95% CI = 1.72-23.10) and 14-15 years (OR = 2.24, 95% CI = 1.04-4.84) had a higher risk of self-injury relative to adolescents aged 16-18 years. CONCLUSION: Childhood trauma and alexithymia were important influencing factors in adolescent patients with BD II depression. Emotional abuse and age of onset as risk factors for NSSI, and difficulties in emotion recognition were positively associated with the patients' NSSI.

Verbal learning, working memory, and attention/vigilance may be candidate phenotypes of bipolar II depression in Chinese Han nationality.

OBJECTIVES: Bipolar II depression (BD-II) is a subtype of bipolar disorder with recurrent depressive, manic, and frequent depressive episodes as the main clinical manifestations. This study aimed to compare the cognitive function of patients with BD-II with those of healthy siblings and controls to explore the internal phenotype of BD-II in the field of cognitive function. METHODS: 66 BD-II patients, 58 healthy siblings, and 55 healthy controls were assessed with the Trail Making Test (TMT), Digit Symbol Coding Test (DSCT), Category Fluency, Hopkins Verbal Learning Test-Revised (HVLTR), Brief Visuospatial Memory Test-Revised (BVMT-R), Wechsler Memory Scale 3rd ed. Spatial Span Subtest (WMS-III SS), Neuropsychological Assessment Battery Mazes (NABM), Continuous Performance Test, and Identical Pairs (CPT-IP). RESULTS: Patients with BD-II showed cognitive deficits in visual learning, reasoning and problem solving, verbal learning, attention/vigilance, working memory, and speed of processing. Healthy siblings showed cognitive deficits in reasoning and problem solving, verbal learning, attention/vigilance, working memory, and speed of processing. Substantial differences were observed among the three groups in reasoning and problem solving. CONCLUSIONS: Verbal learning, working memory, and attention/vigilance may be potential endophenotypes that can be used to identify BD-II among Han Chinese in the early stage.

Bayesian consensus clustering for multivariate longitudinal data.

In clinical and epidemiological studies, there is a growing interest in studying the heterogeneity among patients based on longitudinal characteristics to identify subtypes of the study population. Compared to clustering a single longitudinal marker, simultaneously clustering multiple longitudinal markers allow additional information to be incorporated into the clustering process, which reveals co-existing longitudinal patterns and generates deeper biological insight. In the current study, we propose a Bayesian consensus clustering (BCC) model for multivariate longitudinal data. Instead of arriving at a single overall clustering, the proposed model allows each marker to follow marker-specific local clustering and these local clusterings are aggregated to find a global (consensus) clustering. To estimate the posterior distribution of model parameters, a Gibbs sampling algorithm is proposed. We apply our proposed model to the primary biliary cirrhosis study to identify patient subtypes that may be associated with their prognosis. We also perform simulation studies to compare the clustering performance between the proposed model and existing models under several scenarios. The results demonstrate that the proposed BCC model serves as a useful tool for clustering multivariate longitudinal data.

Lung clearance index predicts persistence of preschool wheeze.

BACKGROUND: The lung clearance index (LCI) is a measure of pulmonary function. Variable feasibility (50->80%) in preschool children has been reported. There are limited studies exploring its relationship to respiratory symptoms and how it predicts persistent wheeze. We aimed to assess the association with respiratory symptoms in preschool-aged children with LCI and determine its utility in predicting persistent wheeze. METHODS: LCI was measured in a subcohort of the CHILD Cohort Study at age 3 years using SF6  multiple breath washout test mass spectrometry. Respiratory symptom phenotypes at age 3 were derived from children's respiratory symptoms reported by their parents. Responses were used to categorize children into 4 symptom groups: recurrent wheeze (3RW), recurrent cough (3RC), infrequent symptoms (IS), and no current symptoms (NCS). At age 5 years, these children were seen by a specialist clinician and assessed for persistent wheeze (PW). RESULTS: At age 3 years, 69% (234/340) had feasible LCI. Excluding two children with missing data, 232 participants were categorized as follows: 33 (14%) 3RW; 28 (12%) 3RC; 17 (7%) IS; and 154 (66%) NCS. LCI z-score at age 3 years was highest in children with 3RW compared to 3RC (mean (SD): 1.14 (1.56) vs. 0.09 (0.95), p < .01), IS (mean (SD): -0.14 (0.59), p < .01), and NCS (mean (SD): -0.08 (1.06), p < .01). LCI z-score at age 3 was predictive of persistent wheeze at age 5 (PW) (AUROC: 0.87). CONCLUSIONS: LCI at age 3 was strongly associated with recurrent wheeze at age 3, and predictive of its persistence to age 5.

Relationship among self-injury, experiential avoidance, cognitive fusion, anxiety, and depression in Chinese adolescent patients with nonsuicidal self-injury.

OBJECTIVE: To explore relationship among self-injury behavior, experiential avoidance, cognitive fusion, anxiety, and depression in Chinese adolescent patients with nonsuicidal self-injury (NSSI). METHODS: Cognitive fusion questionnaire (CFQ), Acceptance and Action Questionnaire-2nd edition (AAQ-II), adolescent nonsuicidal self-injury behavior questionnaire (ANSAQ), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD) were used as research tools to investigate 120 subjects with NSSI and 130 healthy controls. RESULTS: The scores of CFQ and AAQ-II in the NSSI group were significantly higher than those in the healthy control group (p < .001). The results of regression analysis showed that the experiential avoidance score of patients with NSSI could predict the score of self-injury questionnaire (ß = 0.585, p < .001); when predicting anxiety, only CFQ (ß = 0.361, p < .001) entered the equation, with an explanatory variation of 12.3%; when predicting depression, CFQ (ß = 0.287, p < .01) entered the equation, with an explanatory variation of 7.4%. CONCLUSION: A high level of cognitive fusion and experiential avoidance may be important factors for the maintenance of self-injury behavior in patients with NSSI.

Home parenteral nutrition patients on mixed oil lipid emulsion have a higher rate of hospitalizations compare to those on soybean oil- a prospective 2-year cohort study.

BACKGROUND & AIMS: Mixed oil intravenous lipid emulsion (MO ILE) that contains 30% soybean oil (SO), 30% medium chain triglycerides, 25% olive oil and 15% fish oil can benefit hospitalized patients receiving parenteral nutrition (PN) but there are very few studies on its long-term use. Our goal was to evaluate the clinical outcomes of adults receiving home PN (HPN) with MO versus those receiving SO ILE over a 2-year period. METHOD: This is a retrospective analysis of data collected prospectively from a cohort of patients recorded in the Canadian HPN Registry over a 2-year period. HPN patients from academic programs across Canada were entered in the Registry according to a validated protocol. For this study, demographic, nutritional, laboratory and clinical data were extracted from January 1st 2015, when MO lipid emulsion became available in Canada, to July 24th 2019. Clinical data for each patient included: number of hospitalizations, number of hospitalizations related to HPN and number of hospitalization days related to HPN, over a year; incidence of line sepsis per 1000 catheter days and mortality. Data are presented as median (1st, 3rd quartile) for continuous variables and frequency (percentage) for categorical variables. Comparisons between groups were performed using two sample t-test or Wilcoxon Rank Sum tests for continuous variables and Chi-square tests or Fisher's exact tests for categorical variables. Univariate and multiple linear regressions were also carried out. Statistical significance is set at a p-value <0.05. RESULTS: A total of 120 patients were included (MO n = 68, SO n = 52). Significant differences at baseline between the two groups were a higher use of Hickman line (62.12% vs 42%, p = 0.038) and more western Canada based hospital care with MO (75% vs 42.31%, p = 0.0002). The MO group had significantly more hospitalizations (p = 0.001), more hospitalizations related to HPN (p = 0.012) and more hospitalization days related to HPN (p = 0.016) per patient per year compared to SO patients. There was no significant difference between groups for line sepsis per 1000 catheter days (MO: 0.05 (0.0, 1.0) vs SO: 0.0 (0.0, 0.22), p = 0.053) or mortality. All other variables, including biochemical variables, were similar between groups. In a multiple regression analysis, the following factors were significantly associated with a greater number of hospitalizations per patient per year: use of MO, high blood glucose from the last recorded value and having died by the end of the study period. CONCLUSION: This 2-year prospective cohort study suggests an increased risk of hospitalization in HPN patients receiving MO lipid emulsion. The long-term effect of using MO lipid emulsion in HPN patients should be further evaluated using a large randomized controlled trial. THE STUDY WAS REGISTERED IN CLINICALTRIALS.GOV: (NCT02299466).

Olive oil-based lipid emulsion is noninferior to soybean oil-based lipid emulsion in the acute care setting: A double-blind randomized controlled trial.

OBJECTIVES: Olive oil (OO)-based intravenous lipid emulsion (IVLE) may have biological advantages for nutrition and inflammation status compared with soybean oil (SO)-based IVLE. We aimed to compare prealbumin levels during infusion of OO- or SO-based IVLE in patients receiving parenteral nutrition in the acute-care setting. METHODS: In this prospective, noninferiority, double blind randomized controlled efficacy trial, patients received either OO-based or SO-based IVLE after providing consent. Biochemical and nutrition parameters were collected at baseline and at 7 to 10 d after initiation of parenteral nutrition. Results are expressed as means (standard deviations). RESULTS: A total of 210 patients completed the study: 102 patients in the SO-based IVLE group and 108 patients in the OO-based IVLE group. Both groups had a significant increase in prealbumin levels from baseline (SO: 0.10 [0.06] versus 0.15 [0.08] g/L; P < 0.0001; OO: 0.11 [0.06] versus 0.16 [0.08] g/L; P < 0.0001), but mean changes between groups were not different (P = 0.53). OO-based IVLE was noninferior to SO-based IVLE in maintaining or increasing serum prealbumin levels, with 20% as the noninferiority margin at follow-up (least square geometric mean ratio [95% CI], 1.10 [0.83,1.47]; P = 0.50). There was a significant improvement in C-reactive protein levels from baseline within each group (SO: 83.24 [69.72] versus 53.4 [59.78] mg/dL; P < 0.0001; OO: 85.13 [68.14] versus 58.75 [60.11] mg/dL; P = 0.004), but mean changes between the groups were not different (P = 0.836). Mortality, length of stay, and infection rates were not different for both groups. CONCLUSIONS: In this study, OO-based IVLE was not inferior to SO-based IVLE in maintaining or increasing the prealbumin level. The improvement of C-reactive protein levels and other clinical outcomes were not different for both groups.

Reasoning, problem solving, attention/vigilance, and working memory are candidate phenotypes of non-suicidal self-injury in Chinese Han nationality.

BACKGROUND: Non-suicidal self-injury (NSSI) is an act of deliberately hurting one's body without the purpose of death. Internal phenotypes have been used in numerous studies of mental disorders, suicide, and self-injury. This research aimed to evaluate the cognitive function of patients with NSSI and determine their potential endophenotype. METHODS: This study used a comparative control design and included 61 patients with NSSI, 55 healthy siblings (HS), and 53 healthy controls. Visual learning, reasoning and problem, verbal learning, attention/vigilance, working memory, and speed of processing were used to evaluate the cognitive function of the subjects. RESULTS: Patients with NSSI and their HS showed cognitive defects in reasoning and problem, attention/vigilance, and working memory. Substantial differences were observed in verbal learning among the three groups, but no significant difference was recorded in the scores in Brief Assessment of Cognition in Schizophrenia. CONCLUSIONS: The results suggest that reasoning and problem, attention/vigilance, and working memory may be potential endophenotypes in early identification of Chinese Han people with NSSI behavior.

Bayesian approaches to variable selection: a comparative study from practical perspectives.

In many clinical studies, researchers are interested in parsimonious models that simultaneously achieve consistent variable selection and optimal prediction. The resulting parsimonious models will facilitate meaningful biological interpretation and scientific findings. Variable selection via Bayesian inference has been receiving significant advancement in recent years. Despite its increasing popularity, there is limited practical guidance for implementing these Bayesian approaches and evaluating their comparative performance in clinical datasets. In this paper, we review several commonly used Bayesian approaches to variable selection, with emphasis on application and implementation through R software. These approaches can be roughly categorized into four classes: namely the Bayesian model selection, spike-and-slab priors, shrinkage priors, and the hybrid of both. To evaluate their variable selection performance under various scenarios, we compare these four classes of approaches using real and simulated datasets. These results provide practical guidance to researchers who are interested in applying Bayesian approaches for the purpose of variable selection.

Newly developed multiple-breath washout reference equations from the CHILD Cohort Study: implications of poorly fitting equations.

Using inappropriate reference equations would provide incorrect estimate of z-scores, which would cause misdiagnosis. Appropriate representative normative reference data must be available to correctly interpret individual lung function results. https://bit.ly/3dcNZ5p.