Animal companionship and psycho-social well-being: Findings from a national study of community-dwelling aging Canadians.

A growing body of evidence has provided support for the beneficial impact of human-animal interactions on a range of biological, social, and psychological outcomes for humans; however, less is conclusively known about the association between animal companionship and psycho-social health specifically among aging populations. In this study, we assessed the association between animal companionship and psycho-social well-being in a large sample (N = 30,865) of community dwelling Canadians aged 45 and older. Using cross-sectional data from the Canadian Community Health Survey-Healthy Aging, we conducted hierarchical multiple regression to assess the relationship between animal companionship and four domains of psycho-social well-being (satisfaction with life, loneliness, depression, and levels of social support) after controlling for socio-demographic factors and psycho-social measures.

Efficacy of a yeast postbiotic on cold/flu symptoms in healthy children: A randomized-controlled trial.

Background: Children attending school/daycare are at high risk of acute respiratory tract infections. EpiCor postbiotic, derived from yeast fermentate, has been demonstrated to improve immune function in adults, reducing the incidence of cold/flu-like or allergy symptoms. As such, studies are warranted in children as available pharmaceutical options have unwanted side effects.

Reducing the Frequency of Surveillance Blood Work in Patients Treated With Maintenance Hemodialysis: A Local Quality Improvement Initiative.

Introduction: There is little evidence on the ideal frequency of routine blood work in maintenance dialysis patients to manage complications, including anemia, mineral bone disease (MBD), and hyperkalemia. Recent quality improvement studies from Ontario showed no negative impacts when decreasing the frequency from monthly to every 6 weeks in conventional in-center hemodialysis (ICHD) patients. In December 2020, Alberta Kidney Care-South (AKC-S) reduced the frequency of routine blood work from every 6 weeks to every 8 weeks for ICHD patients.

Progression of Kidney Disease in Kidney Transplant Recipients With a Failing Graft: A Matched Cohort Study.

Background: Few studies have assessed outcomes in transplant recipients with failing grafts as most studies have focused on outcomes after graft loss.

Objective: To determine whether renal function declines faster in kidney transplant recipients with a failing graft than in people with chronic kidney disease of their native kidneys.

Design: Retrospective cohort study.

Calculated versus measured albumin-creatinine ratio to predict kidney failure and death in people with chronic kidney disease.

Albumin-to-creatinine ratio (ACR), the preferred method to quantify proteinuria, can be calculated from urine dipstick protein or protein-to-creatinine ratio (PCR). The performance of calculated vs. measured ACR in predicting kidney failure and death without kidney failure in people with chronic kidney disease (CKD) is unknown.

A prospective phase II clinical trial identifying the optimal regimen for carboplatin plus standard backbone of anthracycline and taxane-based chemotherapy in triple negative breast cancer.

Addition of platinums to combination chemotherapy for triple negative breast cancer (TNBC) has shown efficacy and is increasingly accepted in the clinic, yet optimal delivery is unknown. A prospective clinical trial with TNBC patients was conducted to determine the optimal chemotherapy regimen to deliver carboplatin with standard dose dense ACT. Tissue microarray was conducted to isolate markers indicative of response to treatment.

Progression and Regression of Chronic Kidney Disease by Age Among Adults in a Population-Based Cohort in Alberta, Canada.

Importance: The burden of chronic kidney disease (CKD) is expected to increase worldwide as the global population ages, potentially increasing the demand for nephrology services. Understanding whether CKD inevitably progresses or may regress can inform clinical decision-making and health policy.

Objective: To study CKD progression and regression by age in adults with CKD.

Accounting for the Competing Risk of Death to Predict Kidney Failure in Adults With Stage 4 Chronic Kidney Disease.

Importance: Kidney failure risk prediction has implications for disease management, including advance care planning in adults with severe (ie, estimated glomerular filtration rate [eGFR] category 4, [G4]) chronic kidney disease (G4-CKD). Existing prediction tools do not account for the competing risk of death.

Objective: To compare predictions of kidney failure (defined as estimated glomerular filtration rate [eGFR] <10 mL/min/1.

Investigating the Relationship Between Age and Kidney Failure in Adults With Category 4 Chronic Kidney Disease.

Background: In people with severe chronic kidney disease (CKD), there is an inverse relationship between age and kidney failure. If this relationship is the same at any age (linear), one effect (hazard ratio) will be sufficient for accurate risk prediction; if it is nonlinear, the effect will vary with age.

Objective: To investigate the relationship between age and kidney failure in adults with category G4 chronic kidney disease (G4 CKD).

Association of Age With Risk of Kidney Failure in Adults With Stage IV Chronic Kidney Disease in Canada.

Importance: With population aging, the burden of many age-related chronic conditions, including kidney failure, is increasing globally.

Objective: To investigate the risks of kidney failure and death in adults with incident stage IV chronic kidney disease (CKD).

Design, Setting, And Participants: This population-based cohort study obtained data recorded between July 30, 2002, and March 31, 2014, from the linked laboratory and administrative data set of Alberta Health in Alberta, Canada.

A bivariate autoregressive Poisson model and its application to asthma-related emergency room visits.

There are no gold standard methods that perform well in every situation when it comes to the analysis of multiple time series of counts. In this paper, we consider a positively correlated bivariate time series of counts and propose a parameter-driven Poisson regression model for its analysis. In our proposed model, we employ a latent autoregressive process, AR(p) to accommodate the temporal correlations in the two series.