Patient preferences and comfort for cancer survivorship models of care: results of an online survey.

PURPOSE: Workforce shortages will impact oncologists' ability to provide both active and survivorship care. While primary care provider (PCP) or survivorship clinic transition has been emphasized, there is little evidence regarding patient comfort. METHODS: We developed an online survey in partnership with patient advocates to assess survivors' comfort with PCP or survivorship clinic care and distributed the survey to online, cancer-specific patient communities from June to August 2020. Descriptive and logistic regression analyses were conducted. RESULTS: A total of 975 surveys were complete. Most respondents were women (91%) and had private insurance (65%). Thirty-six cancer types were reported. Ninety-three percent had a PCP. Twenty-four percent were comfortable seeing a PCP for survivorship care. Higher odds of comfort were seen among respondents who were Black or had stage 0 cancer; female sex was associated with lower odds. Fifty-five percent were comfortable with a survivorship clinic. Higher odds of comfort were seen with lymphoma or ovarian cancer, > 15 years from diagnosis, and non-US government insurance. Lower odds were seen with melanoma, advanced stage, Medicaid insurance, and one late effect. Preference for PCP care was 87% for general health, 32% for recurrence monitoring, and 37% for late effect management. CONCLUSIONS: One quarter of cancer survivors were comfortable with PCP-led survivorship care and about half with a survivorship clinic. Most preferred oncologist care for recurrence monitoring and late-effect management. IMPLICATIONS FOR CANCER SURVIVORS: Patient preference and comfort should be considered when developing survivorship care models. Future efforts should focus on facilitating patient-centered transitions to non-oncologist care.

Serum Low-Density Lipoprotein Cholesterol and Cardiovascular Disease Risk Across Chronic Kidney Disease Stages (Data from 1.9 Million United States Veterans).

In the general population, elevated low-density lipoprotein (LDL) cholesterol levels are an important risk factor for cardiovascular disease (CVD) and mortality; however, the association of LDL with mortality risk and cardiovascular events are less clear in chronic kidney disease (CKD). We sought to examine the relationship of LDL with mortality and rates of atherosclerotic cardiovascular disease (ASCVD) and non-atherosclerotic cardiovascular-related (non-ASCVD) hospitalizations across CKD stages. Our analytical cohort consisted of 1,972,851 United States veterans with serum LDL data between 2004 and 2006. Associations of LDL with all-cause and cardiovascular mortality across CKD stages were evaluated using Cox proportional hazard models with adjustment for demographics, comorbid conditions, smoking status, prescription of statins and non-statin lipid-lowering drugs, body mass index, albumin, high-density lipoprotein, and triglycerides. Associations between LDL and ASCVD and non-ASCVD hospitalizations were estimated using negative binomial regression models across CKD stages. The cohort consisted of 5% female, 14% Black, 29% diabetic, 33% statin-users, and 44% current smokers, with a mean patient age of 64 ± 14 years. Patients with high LDL (≥160 mg/dL) had a higher risk of all-cause and cardiovascular mortality as well as ASCVD and non-ASCVD hospitalization rates across all CKD stages compared with the reference (LDL 70 to <100 mg/dL). The associations with all-cause and cardiovascular mortality and ASCVD hospitalization rate were attenuated at higher CKD stages. These trends were reversed with amplification of the association of high LDL with non-ASCVD hospitalization at higher CKD stages. In conclusion, associations of LDL with mortality and both ASCVD and non-ASCVD hospitalizations are modified according to kidney disease stage.

Cohort Study and Bias Analysis of the Obesity Paradox Across Stages of Chronic Kidney Disease.

OBJECTIVE: In advanced chronic kidney disease (CKD), patients with obesity often have better outcomes than patients without obesity, often called the 'obesity paradox'. Yet, in CKD, the prevalence of inflammation increases as CKD progresses. Although a potential confounder, inflammation may be left unaccounted in obesity-mortality studies. We examined the associations of body mass index (BMI) with all-cause and cause-specific mortality across CKD stages, with consideration for uncontrolled confounding due to unmeasured inflammation. METHODS: We investigated 2,703,512 patients with BMI data between 2004 and 2006. We used Cox models to examine the associations of BMI with all-cause, cardiovascular, and cancer mortality, (ref: BMI 25-<30 kg/m2), adjusted for clinical characteristics and stratified by CKD stages. To address uncontrolled confounding, we performed bias analysis using a weighted probabilistic model of inflammation given the observed data applied to weighted Cox models. RESULTS: The cohort included 5% females and 14% African Americans. In adjusted analyses, the associations of the BMI with all-cause and cardiovascular mortality showed a reverse J-shape, where a higher BMI (>40 kg/m2) was associated with a higher risk. Conversely, a lower mortality risk was observed with a BMI 30-<35 kg/m2 across all CKD stages and for BMI >40 kg/m2 in CKD stage 4/5. Cancer mortality analyses showed an inverse relationship. Bias analysis for uncontrolled confounding suggested that independent of inflammation, the obesity paradox was present. CONCLUSION: We observed the presence of the obesity paradox in this study. This association was consistent in advanced CKD and in our bias analysis, suggesting that inflammation may not fully explain the observed BMI-mortality associations including in patients with CKD.

Association of lactate dehydrogenase with mortality in incident hemodialysis patients.

BACKGROUND: Lactate dehydrogenase (LDH) plays a role in the glucose metabolism of the human body. Higher LDH levels have been linked to mortality in various cancer types; however, the relationship between LDH and survival in incident hemodialysis (HD) patients has not yet been examined. We hypothesized that higher LDH level is associated with higher death risk in these patients. METHODS: We examined the association of baseline and time-varying serum LDH with all-cause, cardiovascular and infection-related mortality among 109 632 adult incident HD patients receiving care from a large dialysis organization in the USA during January 2007 to December 2011. Baseline and time-varying survival models were adjusted for demographic variables and available clinical and laboratory surrogates of malnutrition-inflammation complex syndrome. RESULTS: There was a linear association between baseline serum LDH levels and all-cause, cardiovascular and infection-related mortality in both baseline and time-varying models, except for time-varying infection-related mortality. Adjustment for markers of inflammation and malnutrition attenuated the association in all models. In fully adjusted models, baseline LDH levels ≥360 U/L were associated with the highest risk of all-cause mortality (hazard ratios = 1.19, 95% confidence interval 1.14-1.25). In time-varying models, LDH >280 U/L was associated with higher death risk in all three hierarchical models for all-cause and cardiovascular mortality. CONCLUSIONS: Higher LDH level >280 U/L was incrementally associated with higher all-cause and cardiovascular mortality in incident dialysis patients, whereas LDH <240 U/L was associated with better survival. These findings suggest that the assessment of metabolic functions and monitoring for comorbidities may confer survival benefit to dialysis patients.

Obesity Paradox in Advanced Kidney Disease: From Bedside to the Bench.

While obesity is associated with a variety of complications including diabetes, hypertension, cardiovascular disease and premature death, observational studies have also found that obesity and increasing body mass index (BMI) can be linked with improved survival in certain patient populations, including those with conditions marked by protein-energy wasting and dysmetabolism that ultimately lead to cachexia. The latter observations have been reported in various clinical settings including end-stage renal disease (ESRD) and have been described as the "obesity paradox" or "reverse epidemiology", engendering controversy. While some have attributed the obesity paradox to residual confounding in an effort to "debunk" these observations, recent experimental discoveries provide biologically plausible mechanisms in which higher BMI can be linked to longevity in certain groups of patients. In addition, sophisticated epidemiologic methods that extensively adjusted for confounding have found that the obesity paradox remains robust in ESRD. Furthermore, novel hypotheses suggest that weight loss and cachexia can be linked to adverse outcomes including cardiomyopathy, arrhythmias, sudden death and poor outcomes. Therefore, the survival benefit observed in obese ESRD patients can at least partly be derived from mechanisms that protect against inefficient energy utilization, cachexia and protein-energy wasting. Given that in ESRD patients, treatment of traditional risk factors has failed to alter outcomes, detailed translational studies of the obesity paradox may help identify innovative pathways that can be targeted to improve survival. We have reviewed recent clinical evidence detailing the association of BMI with outcomes in patients with chronic kidney disease, including ESRD, and discuss potential mechanisms underlying the obesity paradox with potential for clinical applicability.