Causes of death following small cell lung cancer diagnosis: a population-based analysis

Cardiovascular comorbidities and their prognostic value in small cell lung cancer patients with chemoradiotherapy

BACKGROUND

Small cell lung cancer (SCLC) is an extremely malignant subtype of lung cancer because of its high potential for metastases. Cardiac invasion of SCLC is a serious concern that may lead to systemic embolism or tract obstruction. It has aroused much concern that cardiovascular comorbidities may significantly affect the survival of SCLC patients and their treatment decisions.

METHODS

We consecutively recruited 772 small cell lung cancer (SCLC) patients between January 2011 and December 2018 from 4 cancer specialty hospitals in China. Only newly diagnosed primary cancer inpatients were included. Univariable and multivariable adjusted Cox proportional hazard models were conducted to evaluate the risk factors associated with mortality. Hazard ratios (HRs) for mortality and corresponding 95% confidence intervals (95% CIs) were calculated.

RESULTS

The prevalence of cardiovascular diseases (CVDs) was 34.6% in all SCLC patients. Log-rank analysis presented statistically significant differences in median survival time (MST) between patients with CVD and without CVD in all SCLC patients (9.0 months vs. 15.0 months, P = 0.005) and patients with chemotherapy only (12.0 months vs. 18.0 months, P = 0.048). Pericardial effusion (HR 1.671, 95% CI 1.082-2.580, P = 0.021) and heart failure (HR 1.752, 95% CI 1.290-2.379, P < 0.001) were independent risk factors associated with mortality in all SCLC patients. VTE is related to poorer prognosis in patients with chemotherapy only (HR 5.558, 95% CI 1.335-23.135, P = 0.018) and chemoradiotherapy (HR 3.057, 95% CI 1.270-7.539, P = 0.013).

CONCLUSIONS

Comprehensive management of CVD comorbidities is of vital importance for the long-term prognosis of SCLC patients.

A practical nomogram for predicting early death in elderly small cell lung cancer patients: A SEER-based study

This study aimed to identify risk factors for early death in elderly small cell lung cancer (SCLC) patients and develop nomogram prediction models for all-cause and cancer-specific early death to improve patient management. Data of elderly patients diagnosed with SCLC were extracted from the SEER database, then randomly divided into training and validation cohorts. Univariate and stepwise multivariable Logistic regression analyses were performed on the training cohort to identify independent risk factors for early death in these patients. Nomograms were developed based on these factors to predict the overall risk of early death. The efficacy of the nomograms was validated using various methods, including ROC analysis, calibration curves, DCA, NRI, and IDI. Among 2077 elderly SCLC patients, 773 died within 3 months, 713 due to cancer-specific causes. Older age, higher AJCC staging, brain metastases, and lack of surgery, chemotherapy, or radiotherapy increase the risk of all-cause early death, while higher AJCC staging, brain metastases, lung metastases, and lack of surgery, chemotherapy, or radiotherapy increase the risk of cancer-specific death (P < .05). These identified factors were used to construct 2 nomograms to predict the risk of early death. The ROC indicated that the nomograms performed well in predicting both all-cause early death (AUC = 0.823 in the training cohort and AUC = 0.843 in the validation cohort) and cancer-specific early death (AUC = 0.814 in the training cohort and AUC = 0.841 in the validation cohort). The results of calibration curves, DCAs, NRI and IDI also showed that the 2 sets of nomograms had good predictive power and clinical utility and were superior to the commonly used TNM staging system. The nomogram prediction models constructed in this study can effectively assist clinicians in predicting the risk of early death in elderly SCLC patients, and can also help physicians screen patients at higher risk and develop personalized treatment plans for them.

Risk of Sudden Cardiac Death in Patients Undergoing Cancer Treatment

The risk of sudden cardiac death (SCD) in patients with cancer receiving cancer therapies is not well defined. In this study we aimed to (1) evaluate the risk of SCD during the first 6 months of cancer treatment and (2) identify risk factors (RFs) for SCD in patients who underwent active cancer treatment. The study population comprised 8,356 patients who received any cancer treatment at the University of Rochester Medical Center from 2011 to 2020. The primary end point was the occurrence of SCD within 6 months of cancer treatment. SCD was defined by using the modified Hinkle-Thaler classification. The mean age at the time of cancer treatment was 64 ± 14 years and 49% were women. All-cause mortality occurred in 834 patients (10%), of whom 51 (6%) were identified as SCD. The cumulative probability of SCD at 6 months was 0.6%. Age <74 years (0.042), history of congestive heart failure (0.058) and lung cancer (0.004) were identified as independent RFs for SCD in the multivariate Cox regression models. The cumulative probability of SCD at 6 months from cancer treatment initiation was significantly higher in patients with ≥2 RFs (1.6%) than in patients with 0 or 1 RF (0.5%) (log-rank p <0.001). In conclusion, our findings suggest that active cancer treatment is associated with SCD risk that is more pronounced in younger patients (< 74 years), patients with cancer and a history of heart failure, and those who underwent treatment for lung cancer. Future studies should address appropriate modalities for prevention and protection in this high-risk population.

Development and validation of prognostic models for small cell lung cancer patients with liver metastasis: a SEER population-based study

BACKGROUND

This study was to establish and validate prediction models to predict the cancer-specific survival (CSS) and overall survival (OS) of small-cell lung cancer (SCLC) patients with liver metastasis.

METHODS

In the retrospective cohort study, SCLC patients with liver metastasis between 2010 and 2015 were retrospectively retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into the training group and testing group (3: 1 ratio). The Cox proportional hazards model was used to determine the predictive factors for CSS and OS in SCLC with liver metastasis. The prediction models were conducted based on the predictive factors. The performances of the prediction models were evaluated by concordance indexes (C-index), and calibration plots. The clinical value of the models was evaluated by decision curve analysis (DCA).

RESULTS

In total, 8,587 patients were included, with 154 patients experiencing CSS and 154 patients experiencing OS. The median follow-up was 3 months. Age, gender, marital status, N stage, lung metastases, multiple metastases surgery of metastatic site, chemotherapy, and radiotherapy were independent predictive factors for the CSS and OS of SCLC patients with liver metastasis. The prediction models presented good performances of CSS and OS among patients with liver metastasis, with the C-index for CSS being 0.724, whereas the C-index for OS was 0.732, in the training set. The calibration curve showed a high degree of consistency between the actual and predicted CSS and OS. DCA suggested that the prediction models provided greater net clinical benefit to these patients.

CONCLUSION

Our prediction models showed good predictive performance for the CSS and OS among SCLC patients with liver metastasis. Our developed nomograms may help clinicians predict CSS and OS in SCLC patients with liver metastasis.

Cause of death during nasopharyngeal carcinoma survivorship: a population-based analysis

Background

Recently, the survival rate of nasopharyngeal carcinoma (NPC) patients has improved greatly due to developments in NPC treatments. But cause-specific mortality in NPC patients remains unclear. This study aims to investigate the common causes of death in NPC patients.

Methods

Eligible patients with NPC were included from the Surveillance, Epidemiology, and End Results (SEER) database. Standardized mortality ratios(SMRs) were calculated to compare death rates in NPC patients with those in the general population.

Results

A total of 3475 patients with NPC were included, of whom 1696 patients died during the follow-up period. 52.83% of deaths were caused by NPC, followed by other cancers (28.13%) and non-cancer causes (18.46%). The proportion of patients who died of NPC decreased over survival time. Moreover, non-cancer causes of death increase from 12.94% to 51.22% over time after 10 years of diagnosis. Heart diseases was the most common non-cancer cause of death in NPC patients.

Conclusions

Although NPC remains the leading cause of death after NPC diagnosis, other non-NPC causes of death represent an increased number of death in NPC patients. These findings support the involvement of multidisciplinary care for follow-up strategy in NPC patients.

Non cancer causes of death after gallbladder cancer diagnosis: a population-based analysis

Mortality from non cancer causes in patients with gallbladder cancer (GBC) still unclear. This study evaluated the causes and risk factors of non cancer death during different follow-up periods after GBC diagnosis. Non cancer causes of death for GBC patients diagnosed between 2000 and 2017 in Surveillance, Epidemiology and End Results database were analyzed and standardized mortality rates (SMR) for each non cancer death were calculated. Predictors for non cancer death were identified through multivariate competing risk analysis. A total 11,927 GBC patients were identified for further analysis, 9393 died during follow up. The largest proportion of non cancer deaths occurred > 3 years after diagnosis (39.4%). Most common non cancer cause were cardiovascular disease (43.3%), followed by other cause of death (34.4%) and infectious diseases (8.6%). Compared with US general population, GBC patients has higher risk of death from disease of heart (SMR, 1.58; 95%CI, 1.41-1.75), septicemia (SMR,3.21; 95%CI, 2.27-4.40), diabetes mellitus (SMR,1.97; 95%CI, 1.43-2.63), alone with other causes. Non cancer causes accounted for a significant proportion of deaths during the follow-up period after GBC diagnosis. The risk of non cancer death is higher in GBC patients than in the general population. Our study provides comprehensive assessment of death from non cancer cause in GBC patients, which has important implications for health management in GBC patients.