Development of a prognostic nomogram based on objective blood test data for patients with advanced cancer undergoing palliative care.

BACKGROUND: Accurate estimation of prognosis can help provide early palliative care to patients. However, few studies have developed nomograms that are totally based on objective blood test parameters. The current study constructed a simple and objective prognostic nomogram and validated the model using advanced cancer patients. METHODS: A total of 245 patients were retrospectively analyzed (training sample, n=162; validation sample, n=54), from January 2020 to December 2021. Blood test and demographic data were collated. Cox proportional hazard regression was performed to identify the independent factors, which were built into a nomogram to visualize the probability of patient survival within 30 days. Calibration and discrimination of the model was assessed. The decision curve analysis (DCA) was developed to summarize the performance of the model in supporting decision making. RESULTS: The median survival was 17.0 [8, 37] days and 21.0 [10, 46] days for the training set and the validation set, respectively. Serum calcium (>2.65 mmol/L), neutrophil count (<2 mmol/L and >7 mmol/L), urea (>7.6 nmol/L), and glutamic oxalacetic transaminase (>40 U/L) were identified and an easily obtained nomogram predicting the 30-day probability of mortality was developed. The nomogram model had adequate discrimination and calibration. The Harrell's concordance index (C-index) of the training set and validation set was 0.69 and 0.71, respectively, while the values of the area under the curve (AUC) of the receiver operating characteristic (ROC) curve were 0.76 and 0.70, respectively. CONCLUSIONS: A simple and objective prognostic nomogram model for predicting the 30-day survival of patients with advanced cancer was developed and validated, with adequate calibration and discrimination. It is expected to guide practical prognosis evaluation in the clinical setting. Further validation is still required in a prospective, multicenter, and large sample study.

Retrospective Observational Study on the Characteristics of Pain and Associated Factors of Breakthrough Pain in Advanced Cancer Patients.

Objective: This study aimed to conduct a retrospective observational study to understand the status of characteristics of pain and identify potential variables influencing the clinical presentation of breakthrough cancer pain (BTP) in advanced cancer patients. Methods: Advanced cancer patients over 18 years of age; diagnosed with cancer of any type and stage III or IV in the palliative care ward with available data were enrolled between 2018 and 2020. Demographic data and pain-related information were collected by using structured electronic extraction form from Hospital Information System (HIS). Patients who had well-controlled background pain with an intensity ≤4 on a 0-10 numerical scale for >12 hours/day, the presence of transient exacerbations of pain with moderate-severe intensity (≧5), and clearly distinguish from background pain were regarded to have suffered BTP. Spearman correlation was conducted to explore the relationship between pain score and demographics characteristics. Factors significant in univariate analysis were included in the multiple regression model to explore independent predictive factors associated with the BTP. Results: Of 798 advanced cancer patients, the mean age was 56.7 (SD = 11.84) years. Lung cancer (29.95%) was the most common cancer, and pain (93%) was the most common symptom. More than half (n = 428, 53.6%) of the patients experienced BTP. The median number of BTP episodes was 4 (IQR = 2, 7, range: 1-42). The median intensity of BTP was 6 (IQR = 6, 7, range 5-10). Patients with severe background pain or BTP had longer hospital stay and more symptoms. Besides, more severe background pain was related to higher activity of daily living. Intramuscular injection of hydromorphone hydrochloride was the main medication for BTP onset. Younger age, background pain, anorexia, and constipation were independently associated with the presentation of BTP. BTP pain intensity was independently associated with bloating. Symptom numbers were an independent factor and positively associated with BTP episodes. Conclusions: BTP resulted in poor prognosis, which has a variable presentation depending on interdependent relationships among different characteristics. Good controlling of background pain and assessment of pain-related symptoms are essential for BTP management. BTP should be managed individually, especially the invisible pain among aged patients. Furthermore, BTP-related education and training were still needed.

Symptomatic Features and Factors Associated With Do-Not-Resuscitate Consent in Advanced Cancer Patients Admitted to Palliative Care Ward.

This study aimed to conduct a retrospective cross-sectional study to investigate the prevalence of symptoms and symptom clusters on sociodemographic and disease characteristics, as well as factors associated with Do-Not-Resuscitate (DNR) consent. Advanced cancer patients were enrolled between 2018 and 2020 with available data. Demographic and clinical data were obtained for analysis from Hospital Information System (HIS) in China. Symptom clusters were extracted by hierarchical cluster analysis. Chi-square test and multiple logistic regression were conducted to investigate the prevalence characteristics of symptoms and influencing factors of DNR consent, respectively. 798 advanced cancer patients were enrolled. The most prevalent symptoms were pain (93%), anorexia (36.5%), and sleep disorders (34.2%). High heart rate was associated with poor performance status and more symptoms. Three clusters were extracted: fatigue-related, respiratory-circulatory system, and digestive system symptom clusters. The incidence of symptoms was statistically significant in age, gender, education level, residence, BMI, performance status, distress score, ADL, and primary pain level. The DNR signature rate was 15.5%. Female, distant metastasis, in-ward rescue, and appearance of dyspnea were independent influencing factors of DNR signature.Chinese hospitalized cancer patients had more symptoms burden that were influenced by various demographic characteristics, especially pain and fatigue-related symptoms. Concerning the trajectory of vital signs is important among advanced cancer patients. The DNR signature rate was lower and our finding indicating an urgency to accurately assess the prognosis and give more palliative care education to enhance DNR rates and early signing in Chinese context.