The Gut Microbiome and Symptom Burden After Kidney Transplantation: An Overview and Research Opportunities.

Many kidney transplant recipients continue to experience high symptom burden despite restoration of kidney function. High symptom burden is a significant driver of quality of life. In the post-transplant setting, high symptom burden has been linked to negative outcomes including medication non-adherence, allograft rejection, graft loss, and even mortality. Symbiotic bacteria (microbiota) in the human gastrointestinal tract critically interact with the immune, endocrine, and neurological systems to maintain homeostasis of the host. The gut microbiome has been proposed as an underlying mechanism mediating symptoms in several chronic medical conditions including irritable bowel syndrome, chronic fatigue syndrome, fibromyalgia, and psychoneurological disorders via the gut-brain-microbiota axis, a bidirectional signaling pathway between the enteric and central nervous system. Post-transplant exposure to antibiotics, antivirals, and immunosuppressant medications results in significant alterations in gut microbiota community composition and function, which in turn alter these commensal microorganisms' protective effects. This overview will discuss the current state of the science on the effects of the gut microbiome on symptom burden in kidney transplantation and future directions to guide this field of study.

Associations Between Gut Microbial Features and Sickness Symptoms in Kidney Transplant Recipients.

PURPOSE: The study investigated the relationship of gut microbiome features and sickness symptoms in kidney transplant recipients. METHODS: Employing a prospective, longitudinal design, we collected data from 19 participants who had undergone living-donor kidney transplant at three timepoints (pre-transplant and 1 week and 3 months post-transplant). Sickness symptom data and fecal specimens were collected at each timepoint. Participants were grouped either as high or low sickness symptom severity at baseline. Shotgun metagenomics sequencing characterized gut microbial structure and functional gene content. Fecal microbial features, including alpha (evenness and richness within samples) and beta (dissimilarities between samples) diversity and relative abundances, were analyzed using R statistical packages. Cross-sectional and longitudinal analyses examined relationships between gut microbial features and sickness symptoms. RESULTS: Although our exploratory findings revealed no significant differences in alpha and beta diversity between groups, the high-severity group showed lower microbial richness and evenness than the low-severity group. The high-severity group had enriched relative abundance of bacteria from the genera Citrobacter and Enterobacter and reduced relative abundance of bacteria from the genus Akkermansia across timepoints. No functional genes differed significantly between groups or timepoints. CONCLUSIONS: Kidney transplant recipients with high symptom burden displayed increased putative proinflammatory bacteria and decreased beneficial bacteria. This study provides an effect size that future large cohort studies can employ to confirm associations between gut microbial features and sickness symptom experiences in the kidney transplant population. The study findings also have implications for future interventional studies aiming to alleviate the sickness symptom burden in this population.

Sickness Symptoms in Kidney Transplant Recipients: A Scoping Review.

Sickness symptoms (depressive symptoms, anxiety, and fatigue) are common among people with chronic illness, often presenting as a symptom cluster. Sickness symptoms persist in many patients with chronic kidney disease, even after kidney transplantation (KT); however, little is known about sickness symptom-induced burden in KT recipients. This scoping review synthesizes available evidence for sickness symptoms in KT recipients, including findings on symptom prevalence, predictors, outcomes, interrelationships, and clustering. Among 38 reviewed studies, none identified sickness symptoms as a cluster, but we observed interrelationships among the symptoms examined. Fatigue was the most prevalent sickness symptom, followed by anxiety and depressive symptoms. Predictors of these symptoms included demographic, clinical, and psychosocial factors, and health-related quality of life was the most researched outcome. Future research should use common data elements to phenotype sickness symptoms, include biological markers, and employ sophisticated statistical methods to identify potential clustering of sickness symptoms in KT recipients.

Nurse turnover: A longitudinal survival analysis of the Korea Nurses' Health Study.

AIMS: To identify factors influencing turnover among Korean female nurses from a longitudinal perspective. DESIGN: A national cohort study called the Korea Nurses' Health Study (2013-2020) was used. METHODS: A national sample of female nurses from module 1 (N = 20,613, 2013-2014), module 5 (N = 11,527, 2016-2017), module 7 (N = 8,658, 2018-2019) and module 8 (N = 10,253, 2019-2020) was used. Based on a nurse turnover model, individual, health-related, social work environment and work organizational factors were considered explainable variables for nurse turnover. Kaplan-Meier survival analysis and multivariate Cox regression analysis were used to identify the factors influencing female nurse turnover in South Korea. RESULTS: Female nurses who had less education, were unmarried, were pregnant, and had higher stress levels and an increased probability of experiencing turnover as they aged. Those who perceived moderate health rather than good/very good health, had depressive symptoms, had a higher salary, were charge nurses/unit managers/supervisors or advanced practice nurses, were advanced practice nurses rather than registered nurses, worked shifts, worked in special care units or outpatient wards/administration as opposed to general wards, and worked in larger hospitals had a decreased probability of experiencing turnover as they aged. A two-way interaction analysis revealed that those who had depressive symptoms and increased perceived stress were more likely to experience turnover as they aged. CONCLUSION: Multiple factors influenced female nurse turnover, including individual, health-related, social work environment and work organizational factors. A multidimensional approach is needed to reduce nurse turnover. IMPACT: Various factors predict nurse turnover as nurses age, implying that a multifaceted approach is needed to manage nurse turnover. The influence of depressive symptoms on turnover should be evaluated by considering the perceived stress level. Nursing managers and policy makers could use our results to develop programs/policies to reduce nurse turnover.

Factors related to nursing performance in South Korean intensive care units.

AIM: The purpose of this study was to investigate potential factors that influence nursing performance in South Korean intensive care units (ICUs). BACKGROUND: As nursing performance is directly related to patient outcomes in the ICU setting, identifying factors related to nursing performance at various levels could contribute to improving those outcomes. METHOD: A cross-sectional descriptive design was employed with a convenience sample of 177 nurses having worked at least 6 months in an ICU. Data were collected from 2 to 16 March 2018. RESULTS: Workplace incivility from supervisors and patients and their families was negatively related to nursing performance, whereas a relation-oriented culture and task-oriented culture were positively related to nursing performance. The factors that predicted nursing performance were nurse age and a task-oriented culture. CONCLUSION: Based on study findings, hospitals should focus on mitigating workplace incivility to help improve the nursing performance. Also, hospitals should develop strategies to assess organizational culture and foster relation- and task-oriented culture to maximize nursing performance.