RESUMO
BACKGROUND: Patient-reported symptoms are associated with inflammation biomarkers in many chronic diseases. We examined associations of inflammation biomarkers with pain, fatigue, and depression in patients with end-stage kidney disease (ESKD) and the effects of a Technology Assisted stepped Collaborative Care (TACcare) intervention on these biomarkers. METHODS: In the TACcare multi-site randomized control trial, data on patient-reported symptoms were collected at baseline, 3, and 6 months. Anti-inflammatory [interleukin 1 receptor agonist (IL-1RA), IL-10], pro-inflammatory [tumor necrosis factor alpha (TNF-α), high sensitivity C-reactive protein (hs-CRP), IL-6] and regulatory [IL-2] biomarkers were assayed. Linear mixed-effects modeling was used to examine within- and between-group differences after adjusting for age, sex, race, and comorbidities. RESULTS: Among the 160 patients (mean age 58±14 years, 55% men, 52% white), there were no significant associations between inflammation biomarkers and pain, fatigue or depression at baseline. Both intervention and control group demonstrated reductions in IL-10 and IL-1RA over 6 months (ß range=-1.22 to -0.40, p range=<0.001 to 0.02) At 3 months, the treatment group exhibited decreases in TNF-α (ß=-0.22, p<0.001) and IL-2 (ß=-0.71, p<0.001), whereas the control group showed increases in IL-6/IL-10 ratio (ß=0.33, p=0.03). At 6 months, both groups exhibited decreases in IL-2 (ß range=-0.66 to -0.57,p<0.001); the control group showed significant increases in the ratio of IL-6/IL-10 (ß=0.75,p<0.001) and decrease in TNF-α (ß=-0.16, p=0.02). Compared to controls, the treatment group demonstrated significantly decreased IL-2 at 3 months (ß=-0.53, p<0.001). Significant interaction effects of treatment were observed on the association between changes in pro-inflammatory biomarkers (TNF-α and hs-CRP) levels and changes in symptom scores from baseline to 6 months. CONCLUSIONS: The TACcare intervention had a short-term impact on reducing inflammatory burden in patients with ESKD. More studies are needed to confirm our findings and to determine if these biomarkers mediate the link between symptoms and disease progression.
RESUMO
OBJECTIVES: The aims of the study were to (1) describe types of pain in cancer patients, (2) examine the predictors and consequences of pain, (3) investigate the association between type of pain and survival, and (4) examine potential biological mediators of pain and survival. METHODS: This was a secondary analysis of baseline data from patients diagnosed with cancer. Patients answered questionnaires that assessed sociodemographic characteristics, pain, depression, sleep, and fatigue. Blood was collected and cytokine assays were performed. Analysis of variance, Kaplan-Meier, and Cox regression survival analyses were used to test the aims. RESULTS: Of the 779 patients diagnosed with cancer, the mean age was 63.5 years, 57.8% male, and 90.6% White. Of those who reported pain (total 70.3%), 46.5% stated their pain was cancer-related while 53.5% stated their pain was non-cancer-related. While both cancer and non-cancer-related pain was associated with depressive symptoms, fatigue, and sleep duration, those with cancer-related pain had significantly higher rates of depressive symptoms (F(1,516) = 21.217, p < 0.001) and fatigue (F(1,516) = 30.973, p < 0.001) but not poorer sleep (F(1,497) = 0.597, p = 0.440). After adjusting for sociodemographic, disease-related characteristics, depression, sleep duration, and morphine milligram equivalent, patient reports of cancer-related pain were significantly associated with poorer survival (HR = 0.646, 95% CI = 0.459-0.910, p = 0.012) compared to those with non-cancer-related pain, which was not associated with survival (HR = 1.022, 95% CI = 0.737-1.418, p = 0.896). Cytokines did not significantly mediate the link between pain and survival. CONCLUSION: While nearly half of the pain reported was cancer-related, both types of pain resulted in greater symptom burden, but only cancer-related pain was associated with survival.