Patient-reported predictors of postdischarge mortality after cardiac hospitalization.

BACKGROUND: Adults hospitalized for cardiovascular events are at high risk for postdischarge mortality. Screening of psychosocial risk is prioritized by the Joint Commission. We tested whether key patient-reported psychosocial and behavioral measures could predict posthospitalization mortality in a cohort of adults hospitalized for a cardiovascular event. METHODS: We conducted a prospective cohort study to test the prognostic utility of validated patient-reported measures, including health literacy, social support, health behaviors and disease management, and socioeconomic status. Cox survival analyses of mortality were conducted over a median of 3.5 years. RESULTS: Among 2977 adults hospitalized for either acute coronary syndrome or acute decompensated heart failure, the mean age was 53 years, and 60% were male. After adjusting for demographic, clinical, and other psychosocial factors, mortality risk was greatest among patients who reported being unemployed (hazard ratio [HR]: 1.99, 95% confidence interval [CI]): 1.30-3.06), retired (HR: 2.14, 95% CI: 1.60-2.87), or unable to work due to disability (HR: 2.36, 95% CI: 1.73-3.21), as compared to those who were employed. Patient-reported perceived health competence (PHCS-2) and exercise frequency were also associated with mortality risk after adjusting for all other variables (HR: 0.86, 95% CI: 0.73-1.00 per four-point increase in PHCS-2; HR: 0.86, 95% CI: 0.77-0.96 per 3-day increase in exercise frequency, respectively). CONCLUSIONS: Patient-reported measures of employment status, perceived health competence, and exercise frequency independently predict mortality after a cardiac hospitalization. Incorporating these brief, valid measures into hospital-based screening may help with prognostication and targeting patients for resources during post-discharge transitions of care.

Vulnerability to functional decline is associated with noncardiovascular cause of 90-day readmission in hospitalized patients with heart failure.

BACKGROUND: Hospital readmission is common among patients with heart failure. Vulnerability to decline in physical function may increase the risk of noncardiovascular readmission for these patients, but the association between vulnerability and the cause of unplanned readmission is poorly understood, inhibiting the development of effective interventions. OBJECTIVES: We examined the association of vulnerability with the cause of readmission (cardiovascular vs. noncardiovascular) among hospitalized patients with acute decompensated heart failure. DESIGNS, SETTINGS, AND PARTICIPANTS: This prospective longitudinal study is part of the Vanderbilt Inpatient Cohort Study. MAIN OUTCOME AND MEASURES: The primary outcome was the cause of unplanned readmission (cardiovascular vs. noncardiovascular). The primary independent variable was vulnerability, measured using the Vulnerable Elders Survey (VES-13). RESULTS: Among 804 hospitalized patients with acute decompensated heart failure, 315 (39.2%) experienced an unplanned readmission within 90 days of discharge. In a multinomial logistic model with no readmission as the reference category, higher vulnerability was associated with readmission for noncardiovascular causes (relative risk ratio [RRR] = 1.36, 95% confidence interval [CI]: 1.06-1.75) in the first 90 days after discharge. The VES-13 score was not associated with readmission for cardiovascular causes (RRR = 0.94, 95% CI: 0.75-1.17). CONCLUSIONS: Vulnerability to functional decline predicted noncardiovascular readmission risk among hospitalized patients with heart failure. The VES-13 is a brief, validated, and freely available tool that should be considered in planning care transitions. Additional work is needed to examine the efficacy of interventions to monitor and mitigate noncardiovascular concerns among vulnerable patients with heart failure being discharged from the hospital.

Patient-reported predictors of post-discharge mortality after cardiac hospitalization.

Background: Adults hospitalized for cardiovascular events are at high risk for post-discharge mortality. Hospital-based screening of health-related psychosocial risk factors is now prioritized by the Joint Commission and the National Quality Forum to achieve equitable, high-quality care. We tested our hypothesis that key patient-reported psychosocial and behavioral measures could predict post-hospitalization mortality in a cohort of adults hospitalized for a cardiovascular event. Methods: This was a prospective cohort of adults hospitalized at Vanderbilt University Medical Center. Validated patient-reported measures of health literacy, social support, disease self-management, and socioeconomic status were used as predictors of interest. Cox survival analyses of mortality were conducted over a median 3.5-year follow-up (range: 1.25 - 5.5 years). Results: Among 2,977 adults, 1,874 (63%) were hospitalized for acute coronary syndrome and 1,103 (37%) were hospitalized for acute decompensated heart failure; 60% were male; and the mean age was 53 years. After adjusting for demographic, clinical, and other psychosocial factors, mortality risk was greatest among patients who reported being unable to work due to disability (Hazard Ratio (HR) 2.36, 95% Confidence Interval (CI): 1.73-3.21), who were retired (HR 2.14, 95% CI 1.60-2.87), and who reported unemployment (HR 1.99, 95% CI 1.30-3.06) as compared to those who were employed. Patient-reported measures of disease self-management, perceived health competence and exercise frequency, were also associated with mortality risk after full covariate adjustment (HR 0.86, 95% CI 0.73-1.00 per four-point increase), (HR 0.86, 95% CI 0.77-0.96 per three-day change), respectively. Conclusions: Patient-reported measures of employment status independently predict post-discharge mortality after a cardiac hospitalization. Measure of disease self-management also have prognostic modest utility. Hospital-based screening of psychosocial risk is increasingly prioritized in legislative policy. Incorporating brief, valid measures of employment status and disease self-management factors may help target patients for psychosocial, financial, and rehabilitative resources during post-discharge transitions of care.

Impact of COVID-19 on Disease Self-management Among Patients With Advanced CKD: A Qualitative Study.

Rationale & Objective: Patients with advanced chronic kidney disease (CKD) and their care partners experienced decreased access to care, and worse physical and emotional health during the Coronavirus Disease-19 (COVID-19) pandemic. Few studies have explored how COVID-19-related challenges affected disease self-management among those with advanced chronic kidney disease (CKD) and their care partners. Leventhal's self-regulation model offers a comprehensive framework for understanding disease self-management through the interplay of cognitive beliefs, emotional reactions and social influences. The study aims to examine the impact of COVID-19 on self-management activities among patients with CKD and care partners. Study Design: Qualitative study. Setting & Participants: Adults with advanced CKD, including dialysis and transplant recipients, and their carepartners. Analytical Approach: Thematic Analysis. Results: Among 42 participants, 12 had stage 4 CKD, 5 had stage 5 CKD, 6 were receiving in-center hemodialysis, 5 had a kidney transplant, and 14 were care partners. We identified 4 patient-related themes with corresponding subthemes related to the impact of COVID-19 on self-management: 1) cognitive understanding that COVID-19 is an additional health threat to existing kidney disease, 2) heightened anxiety and vulnerability driven by perceived risk, 3) coping with isolation through virtual interactions with healthcare services and social circles, 4) increased protective behaviors to maximize survival. Three care partner-related themes emerged: 1) hypervigilance in family care and protection, 2) interaction with health system and adaptations to self-management, and 3) increased intensity in caregiving role to facilitate patient self-management. Limitations: The qualitative study design limits the ability to generate generalizable data. Grouping patients with Stage 3 and 4 CKD, in-center hemodialysis, and kidney transplants together limited our ability to examine self-management challenges specific to each treatment requirement. Conclusions: When faced with the COVID-19 pandemic, patients with CKD and their care partners experienced heightened vulnerability and thus increased cautionary activities to maximize survival. Our study provides the groundwork for future interventions to help patients and care partners live with kidney disease during future crises.

Lactobacillus fermentum MCC2760 abrogate high-fat induced perturbations in the enterohepatic circulation of bile acids in rats.

AIM: This study in hyperlipidemic rats elucidated the effect of Lactobacillus fermentum MCC2760 on intestinal bile acid (BA) uptake, hepatic BA synthesis, and enterohepatic BA transporters. MAIN METHODS: Diets rich in saturated fatty acids [coconut oil (CO)] and omega-6 fatty acids [sunflower oil (SFO)] at 25 g fat/100 g diet were fed to rats with or without MCC2760 (109 cells/kg body weight). After 60 days of feeding, intestinal BA uptake and expression of Asbt, Osta/b mRNA and protein, and hepatic expression of Ntcp, Bsep, Cyp7a1, Fxr, Shp, Lrh-1, and Hnf4a mRNA were measured. Hepatic expression of HMG-CoA reductase protein and its activity and total BAs in serum, liver, and feces were assessed. KEY FINDINGS: Hyperlipidaemic groups (HF-CO and HF-SFO) had: 1) increased intestinal BA uptake, Asbt and Osta/b mRNA expression, and ASBT staining 2) increased BA in serum, 3) decreased hepatic expression of Ntcp, Bsep, and Cyp7a1 mRNA, and NTCP staining 4) increased activity of HMG-CoA reductase, 5) increased hepatic expression of Fxr and Shp mRNA, 6) decreased hepatic expression of Lrh-1 and Hnf4a mRNA, and 7) decreased BA in Feces when compared to their respective controls (N-CO and N-SFO) and experimental groups (HF-CO + LF and HF-SFO + LF). Immunostaining revealed increased intestinal Asbt and hepatic Ntcp protein expression in the HF-CO and HF-SFO groups compared to control and experimental groups. SIGNIFICANCE: Incorporating probiotics like MCC2760 abrogated hyperlipidemia-induced changes in the intestinal uptake, hepatic synthesis, and enterohepatic transporters of BA in rats. Probiotic MCC2760 can be used to modulate lipid metabolism in high-fat-induced hyperlipidemic conditions.

Patient perspectives on peritoneal dialysis (PD) and the PD catheter: Strategies and Solutions.

INTRODUCTION: Peritoneal dialysis (PD) catheter complications reduce quality of life and increase risks for hospitalizations, for unplanned transitions to haemodialysis and for death. Patient PD catheter management is crucial for safe, sustained PD. Patient perspectives on strategies for living with PD and using a PD catheter may inform efforts to reduce PD catheter complications, increase individual patient PD modality persistence, and thus increase overall home dialysis prevalence. METHODS: We interviewed 32 adult PD patients in Nashville, Tennessee. Qualitative analyses included (1) isolation of themes, (2) development of a coding system and (3) creation of a conceptual framework using an inductive-deductive approach. RESULTS: Challenges identified by patients as important included drain pain, difficulty eating and sleeping, and fear of peritonitis. Coping strategies included repositioning while draining, adjusting eating patterns, and development of PD patient and helper knowledge and confidence, especially at home after initial training. Patients described a trial-and-error iterative process of trying multiple strategies with input from multiple sources, which led to individualised solutions. CONCLUSIONS: The trial-and-error process may be crucial for maintaining PD. Individual patient success with PD may be promoted by creating expectations during training that a solution may require multiple attempts, and by a reimbursement policy that supports robust nursing support for safe progression through the trial-and-error process, particularly in the first few months for incident patients. Interventions to support patient motivation and optimal coping behaviour may also support an increase in PD modality duration for individual patients, and thus increase overall PD prevalence.

Mental Health in Tech: Analysis of Workplace Risk Factors and Impact of COVID-19.

The psychological, emotional and social well-being of an individual determines their ability to contribute and function as a social member. Several studies over the years have proven that an alarming number of people live with mental illnesses, of which only a fraction is documented. Studies conducted by Open Sourcing Mental Illness (OSMI) organization have indicated that these figures are much higher in the tech industry. We present an analysis of patterns and infer contributory factors for mental illness in the tech industry, to aid in the early detection and assess employees' risk of diagnosis. Towards this end, the study comprises a detailed analysis, models for prediction of diagnosis, risk-based clustering and investigation into existing literature on factors contributing to mental illness. In addition to this, we have attempted to understand the impact of Covid-19 through analyzing trends of the factors influencing mental health, pre- and post-pandemic. We conclude with an insight to the impact of the COVID-19 pandemic on global mental health and the actions taken in the workplace to mitigate this.

Exploring mHealth potential to improve kidney function: secondary analysis of a randomized trial of diabetes self-care in diverse adults.

BACKGROUND: Many individuals living with chronic kidney disease (CKD) have comorbid Type 2 diabetes (T2D). We sought to explore if efficacious interventions that improve glycemic control may also have potential to reduce CKD progression. METHODS: REACH is a text message-delivered self-management support intervention, which focused on medication adherence, diet, and exercise that significantly improved glycemic control in N = 506 patients with T2D. Using data from the trial, we characterized kidney health in the full sample and explored the intervention's effect on change in estimated glomerular filtration rate (eGFR) at 12 months in a subsample of N=271 patients with eGFR data. RESULTS: In a diverse sample with respect to race/ethnicity and socioeconomic status, 37.2% had presence of mild or heavy proteinuria and/or an eGFR < 60 mL/min/1.73 m2. There was a trending interaction effect between intervention and presence of proteinuria at baseline (b = 6.016, p = .099) such that patients with proteinuria at baseline who received REACH had less worsening of eGFR. CONCLUSIONS: Future research should examine whether diabetes directed self-management support reduces CKD progression in ethnically diverse individuals with albuminuria. In highly comorbid populations, such as T2D and CKD, text-based support can be further tailored according to individuals' multimorbid disease self-management needs and is readily scalable for individuals with limited resources. TRIAL REGISTRATION: This study was registered with ClinicalTrials.gov ( NCT02409329 ).

Building from Patient Experiences to Deliver Patient-Focused Healthcare Systems in Collaboration with Patients: A Call to Action.

Patients' experiences of their diagnosis, condition, and treatment (including the impact on their lives), and their experiences surrounding expectations of care, are becoming increasingly important in shaping healthcare systems that meet the evolving needs and priorities of different patient communities over time; this is an ongoing goal of all healthcare stakeholders. Current approaches that capture patient experiences with data are fragmented, resulting in duplication of effort, numerous requests for information, and increased patient burden. Application of patient experience data to inform healthcare decisions is still emerging and there remains an opportunity to align diverse stakeholders on the value of these data to strengthen healthcare systems. Given the collective value of understanding patient experiences across multiple stakeholder groups, we propose a more aligned approach to the collection of patient experience data. This approach is built on the principle that the patients' experiences are the starting point, and not just something to be considered at the end of the process. It must also be based on meaningful patient engagement, where patients are collaborators and decision makers at each step, thereby ensuring their needs and priorities are accurately reflected. The resulting data and evidence should be made available for all stakeholders, to inform their decision making and healthcare strategies in ways that meet patient priorities. We call for multi-stakeholder collaboration that will deliver healthcare systems and interventions that are better centered around and tailored to patient experiences, and that will help address patients' unmet needs.

Clin-Star corner: What is new at the interface of geriatrics and nephrology?

Chronic kidney disease (CKD) is prevalent and burdensome among older adults in the United States. CKD affects at least 15% of the US population, and adults over 65 comprise the largest subset within this group. In this special article, we highlight key findings of three recent original investigations in nephrology and describe each study, relevance to the care of older adults, and current areas of uncertainty that warrant further investigation. Articles relate to removal of the race adjustment in the estimation of kidney function, the use of novel therapeutics to halt CKD progression and improve cardiovascular outcomes, and medication management for short-term pain control in CKD.

Depressive Symptoms and Incident Heart Failure Risk in the Southern Community Cohort Study.

OBJECTIVES: This study aims to examine whether greater frequency of depressive symptoms associates with increased risk of incident heart failure (HF). BACKGROUND: Depressive symptoms associate with adverse prognosis in patients with prevalent HF. Their association with incident HF is less studied, particularly in low-income and minority individuals. METHODS: We studied 23,937 Black or White Southern Community Cohort Study participants (median age: 53 years, 70% Black, 64% women) enrolled between 2002 and 2009, without prevalent HF, receiving Centers for Medicare and Medicaid Services coverage. Cox models adjusted for traditional HF risk factors, socioeconomic and behavioral factors, social support, and antidepressant medications were used to quantify the association between depressive symptoms assessed at enrollment via the Center for Epidemiologic Studies Depression Scale (CESD-10) and incident HF ascertained from Centers for Medicare and Medicaid Services International Classification of Diseases-9th Revision (ICD-9) (code: 428.x) and ICD-10 (codes: I50, I110) codes through December 31, 2016. RESULTS: The median CESD-10 score was 9 (IQR: 5 to 13). Over a median 11-year follow-up, 6,081 (25%) participants developed HF. The strongest correlates of CESD-10 score were antidepressant medication use, age, and socioeconomic factors, rather than traditional HF risk factors. Greater frequency of depressive symptoms associated with increased incident HF risk (per 8-U higher CESD-10 HR: 1.04; 95% CI: 1.00 to 1.09; P = 0.038) without variation by race or sex. The association between depressive symptoms and incident HF varied by antidepressant use (interaction-P = 0.03) with increased risk among individuals not taking antidepressants. CONCLUSIONS: In this high-risk, low-income, cohort of predominantly Black participants, greater frequency of depressive symptoms significantly associates with higher risk of incident HF.

Burnout Among Nephrologists in the United States: A Survey Study.

Rationale & Objective: Burnout decreases job satisfaction and leads to poor patient outcomes but remains underinvestigated in nephrology. We explored the prevalence and determinants of burnout among a sample of nephrologists. Study Design: Cross-sectional. Setting & Participants: The nephrologists were approached via the American Medical Association Physicians Masterfile, National Kidney Foundation listserv, email, and social media between April and August 2019. The predictors were demographics and practice characteristics. The outcome was burnout, defined as responding "once a week" or more on either 1 of the 2 validated measures of emotional exhaustion and depersonalization or both. Analytical Approach: Participant characteristics were tabulated. Responses were compared using χ2 tests. Multivariable logistic regression was used to estimate the odds ratios (ORs) of burnout for risk factors. Free text responses were thematically analyzed. Results: About half of 457 respondents were 40-59 years old (n=225; 49.2%), and the respondents were more predominantly men (n=296; 64.8%), US medical graduates (n=285; 62.4%), and in academic practice (n=286; 62.6%). Overall, 106 (23.2%) reported burnout. The most commonly reported primary drivers of burnout were the number of hours worked (n=27; 25.5%) and electronic health record requirements (n=26; 24.5%). Caring for ≤25 versus 26-75 patients per week (OR, 0.34; 95% confidence interval [95% CI], 0.15-0.77), practicing in academic versus nonacademic settings (OR, 0.33; 95% CI, 0.21-0.54), and spending time on other responsibilities versus patient care (OR, 0.32; 95% CI, 0.17-0.61) were each independently associated with nearly 70% lower odds of burnout after adjusting for age, sex, race, and international medical graduate status. The free text responses emphasized disinterested health care systems and dissatisfaction with remuneration as the drivers of burnout. Limitations: Inability to precisely capture response rate. Conclusions: Nearly one-quarter of the nephrologists in our sample reported burnout. Future studies should qualitatively investigate how the care setting, time spent on electronic medical records, and hours of clinical care drive burnout and explore other system-level drivers of burnout in nephrology.

The Knowledge Assessment of Renal Transplantation (KART) 2.0: Development and Validation of CKD and Transplant Knowledge Scales.

BACKGROUND AND OBJECTIVES: Many individuals with kidney disease, particularly those belonging to racial and ethnic minority groups and whose primary language is not English, lack knowledge related to kidney disease symptoms, physiologic functions of the kidney, and benefits and risks of kidney transplantation. Valid instruments to assess patients' knowledge of CKD and kidney transplantation are needed. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Using a sample of 977 patients with stages 3-5 CKD in the Kaiser Permanente health system, we developed the Knowledge Assessment of Renal Transplantation (KART) 2.0 instrument. We conducted cognitive interviews followed by item response theory (IRT) to reduce 48 candidate items. Construct validity was tested by examining differences in scores between patients who spent <1 and ≥1 hour receiving CKD and transplant education. RESULTS: Cognitive interviews modified four items and omitted 11. IRT analyses resulted in two scales: the KART 2.0-Transplant Knowledge Scale (16 items; Cronbach's α=0.8) and the KART 2.0-CKD Knowledge Scale (nine items; Cronbach's α=0.79). Differential item functioning showed that the scales were unbiased to capture knowledge across self-identified race, primary language, CKD stage, and sex. Both scales distinguished patients who had spent <1 and ≥1 hour speaking with health professionals (effect size [ES]=0.33 [transplant], 0.54 [CKD]; P<0.001 for both), reading about kidney disease (ES=0.45 [transplant], 0.62 [CKD]; P<0.001), reading about kidney transplantation (ES=0.67 [transplant], 0.69 [CKD]; P<0.001), and reading about living donor kidney transplant (ES=0.76 [transplant], 0.62 [CKD]; P<0.001). CONCLUSIONS: The KART 2.0 is a valid tool to assess patients' knowledge of CKD and kidney transplantation.

Patient Activation: The Cornerstone of Effective Self-Management in Chronic Kidney Disease?

The importance of patient activation (i.e., the knowledge, skills, and confidence one has in managing one's own healthcare) in people with long-term conditions, including kidney disease, is growing. Enabling and empowering patients to take a more active role in their health and healthcare is the focus of person-centred care. Patient activation is recognised as a key construct of self-management, as to effectively self-manage a long-term condition, it is required to enable individuals to actively participate in treatment decisions, prevent complications, and manage risk factors. Identifying an individual's level of activation can help guide and tailor care, and interventions aimed at increasing patient activation may improve patient engagement and health outcomes. In this review, we explore the concepts of patient activation and self-management, the relationship between patient activation and self-management, interventions aimed at improving these, and what these mean to people living with kidney disease.

Cardiac Surgery in Patients With Blood Disorders.

Blood disorders that can contribute to abnormal bleeding can have a detrimental effect during cardiac surgery. Patients who are known to have such pathologies should be investigated thoroughly and cautious measures would need to be taken when cardiac surgery is needed in this cohort. The majority of current literature for cardiac surgery in patients with von Willebrand Disease and haemophilia are case reports. Nevertheless, evidence shows that optimising factor levels pre, intra and postoperatively offers outcomes similar to that of patients without these disorders. Preoperative screening followed by appropriate iron therapy reduces mortality for patients with anaemia. In this group, haemoglobin levels can be improved postoperatively through iron supplementation. The management strategy of cardiac surgery for people with blood disorders requires a multidisciplinary approach that is highly individualised for each patient. It is essential to adequately adjust preoperative, perioperative and postoperative care to the patient's blood disorder in order to achieve outcomes similar to that of patients without blood disorders.

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

BACKGROUND: Diagnostic classification of diffuse gliomas now requires an assessment of molecular features, often including IDH-mutation and 1p19q-codeletion status. Because genetic testing requires an invasive process, an alternative noninvasive approach is attractive, particularly if resection is not recommended. The goal of this study was to evaluate the effects of training strategy and incorporation of biologically relevant images on predicting genetic subtypes with deep learning. METHODS: Our dataset consisted of 384 patients with newly diagnosed gliomas who underwent preoperative MRI with standard anatomical and diffusion-weighted imaging, and 147 patients from an external cohort with anatomical imaging. Using tissue samples acquired during surgery, each glioma was classified into IDH-wildtype (IDHwt), IDH-mutant/1p19q-noncodeleted (IDHmut-intact), and IDH-mutant/1p19q-codeleted (IDHmut-codel) subgroups. After optimizing training parameters, top performing convolutional neural network (CNN) classifiers were trained, validated, and tested using combinations of anatomical and diffusion MRI with either a 3-class or tiered structure. Generalization to an external cohort was assessed using anatomical imaging models. RESULTS: The best model used a 3-class CNN containing diffusion-weighted imaging as an input, achieving 85.7% (95% CI: [77.1, 100]) overall test accuracy and correctly classifying 95.2%, 88.9%, 60.0% of the IDHwt, IDHmut-intact, and IDHmut-codel tumors. In general, 3-class models outperformed tiered approaches by 13.5%-17.5%, and models that included diffusion-weighted imaging were 5%-8.8% more accurate than those that used only anatomical imaging. CONCLUSION: Training a classifier to predict both IDH-mutation and 1p19q-codeletion status outperformed a tiered structure that first predicted IDH-mutation, then 1p19q-codeletion. Including apparent diffusion coefficient (ADC), a surrogate marker of cellularity, more accurately captured differences between subgroups.