The influence of opioid-taking self-efficacy and social support on pain management satisfaction in outpatients with cancer pain

Changes of Intestinal Flora and Its Relationship with Nutritional Status for Patients with Cancer Pain

Objective. To study the changes in the intestinal flora and its relationship with nutritional status for patients with cancer pain. Methods. A prospective research method was adopted. One hundred twenty cancer patients with cancer pain were selected as the research objects, who were treated in our hospital from June 2019 to June 2020, and 120 cancer patients without cancer pain were selected as the control group, who were treated in the same period. The differences of the intestinal flora and nutritional status of patients with different severity between the observation group and the control group were compared to analyze the changes of intestinal flora in patients with cancer pain and its correlation with nutritional status. Results. Hemoglobin (HB) ( $t=17.141$ , $p\le 0.001$ ), albumin (ALB) ( $t=27.654$ , $p\le 0.001$ ), prealbumin (PAB) ( $t=96.192$ , $p\le 0.001$ ), and total protein (TP) ( $t=18.781$ , $p\le 0.001$ ) in the observation group were significantly lower than those in the control group. There were statistically significant differences in HB ( $f=13.569$ , $p\le 0.001$ ), ALB ( $f=22.229$ , $p\le 0.001$ ), PAB ( $f=19.521$ , $p\le 0.001$ ), and TP ( $f=21.451$ , $p\le 0.001$ ) among patients with cancer pain of different severity. Through these two comparisons, their nutritional indicators showed a significant downward trend with the increase in the severity for cancer pain patients; the levels of Lactobacillus ( $t=2.124$ , $p=0.035$ ), Bifidobacterium ( $t=4.823$ , $p\le 0.001$ ), Enterococcus ( $t=3.578$ , $p\le 0.001$ ), and Eubacterium ( $t=2.394$ , $p=0.017$ ) in the observation group were significantly lower than those in the control group. There were statistically significant differences in the levels of Lactobacillus ( $f=20.643$ , $p\le 0.001$ ), Bifidobacterium ( $f=19.129$ , $p\le 0.001$ ), Enterococcus ( $f=17.408$ , $p\le 0.001$ ), and Eubacterium ( $f=22.343$ , $p\le 0.001$ ) among patients with cancer pain of different severity. After pairwise comparison, their beneficial intestinal bacteria were significantly lower than those in the control group with the increase in pain in cancer pain patients. Nitric oxide (NO) ( $t=8.418$ , $p\le 0.001$ ), galectin-3 ( $t=14.043$ , $p\le 0.001$ ), occludin (OCLN) ( $t=47.308$ , $p\le 0.001$ ), galectin-1 ( $t=15.298$ , $p\le 0.001$ ), zonula occludens protein 1 (ZO-1) ( $t=23.093$ , $p\le 0.001$ ), and cingulin ( $t=340.198$ , $p\le 0.001$ ) in the observation group were significantly lower than those in the control group. There were statistically significant differences in NO, galectin-3, OCLN, galectin-1, ZO-1, and cingulin for patients with cancer pain of different severity. By comparison, the NO, galectin-3, OCLN, galectin-1, ZO-1, and cingulin of the patients showed a significant downward trend with the aggravation of cancer pain symptoms. Through correlation analysis, the nutritional indicators of patients were positively correlated with intestinal microorganisms and intestinal barrier function. Conclusion. There was a significant correlation between the changes in intestinal flora and nutritional status for patients with cancer pain, which could be used as an important basis for improving the treatment of cancer pain.

Relationship between prescribed opioids, pain management satisfaction, and pain intensity in oncology outpatients

BACKGROUND

Pain is the most severe and commonest symptom for patients with cancer. Patients' pain management satisfaction is an essential indicator of quality care and further affects their willingness to seek care.

PURPOSE

This study aimed to examine the correlations between patients' prescribed opioids, pain management satisfaction, and pain intensity.

METHODS

This study adopted a cross-sectional correlation design, recruited a total of 123 patients with cancer pain through convenience sampling, and used two research scales, namely the Chinese version of the Pain Treatment Satisfaction Scale and the Brief Pain Inventory-Short Form.

RESULTS

The findings indicated that the correlations of prescribed opioid dosage with pain management satisfaction (r =  - .10, p > .05) and pain intensity (worst pain, least pain, average pain, and pain right now; r =  - .05 to .01, p > .05) were nonsignificant. The correlations of pain management satisfaction with pain intensity (r = .24 to .32, p < .01), pain interference (r = .32, p < .01), and pain relief (r =  - .25, p < .01) were all significant, but that with the worst pain (r = .06, p > .05) was nonsignificant.

CONCLUSIONS

Medical professionals providing cancer pain management should focus on medicines strategies and individuals' pain relief requirements. In particular, patients with the worst pain require extra investigations into their needs, and their satisfaction with their level of pain should be further evaluated.