Clinical Predictors of Early Mortality in Colorectal Cancer Patients Undergoing Chemotherapy: Results From a Global Prospective Cohort Study

NELBI score: a new clinical calculator of thirty-day mortality following systemic anticancer therapy in breast cancer patients near the end of life

AIMS AND OBJECTIVES

Appropriately timed cessation of systemic anticancer treatments is an important part of a patient's quality of life (QoL). We aimed to determine the right time to discontinue systemic anticancer therapy (SACT) and switch to the best supportive care for patients with advanced breast cancer (BC) who are nearing the end of life.

METHODS

We identified 200 BC patients who died within 30 days after palliative SACT. Laboratory parameters and Eastern Cooperative Oncology Group (ECOG) performance status (PS) were recorded when the patients received their last SACT and at the time of their penultimate treatment. The (Neutrophil-ECOG-LDH-Bilirubin) 'NELBI' score, created on the basis of the optimum cut-off points of ECOG PS, neutrophil count, bilirubin level, and lactate dehydrogenase (LDH) level, which can predict mortality within 30 days after SACT, was scored between 0 and 4. Patients were stratified on the basis of the NELBI score.

RESULTS

A total of 4164 patients receiving palliative treatment for advanced BC were examined. A total of 4.8% of patients died within 30 days after SACT. The percentage of patients who died within 30 days after SACT among all deceased patients was 19.4%. The median time from the last systemic treatment to death was 19.5 ± 7.85 (95% CI 18.06-20.26) days, and the median time from the penultimate treatment to death was 43.0 ± 24.65 (95% CI 46.81-53.85) days. A total of 21.3%, 58.0%, 70.7%, and 88.9% of patients with NELBI scores of 0, 1, 2, and 3-4, respectively, died within 30 days after SACT. Compared with a NELBI score of 0, a NELBI score of 1 (OR = 5.095; 95% CI 2.654- 9.784; p < 0.001), a NELBI score of 2 (OR = 8.911; 95% CI 4.299-18.474; p < 0.001), and a NELBI score of 3-4 (OR = 29.500; 95% CI 6.135- 141.847; p < 0.001) was associated with significantly greater 30-day mortality. The AUC of the NELBI scoring for 30-day mortality prediction after SACT was 0.713.

CONCLUSIONS

The 'NELBI' scoring system has the potential to significantly improve patient care by guiding the appropriate discontinuation of SACTs in patients with BC.

Association between the Khorana risk score and all-cause mortality in Japanese patients with gastric and colorectal cancer: A retrospective cohort study

BACKGROUND

The Khorana risk score (KRS) has poor predictive value for cancer-associated thrombosis in a single tumor type but is associated with early all-cause mortality from cancer. Evidence for the association between KRS and all-cause mortality in Japanese patients with gastric and colorectal cancer is limited.

AIM

To investigate whether KRS was independently related to all-cause mortality in Japanese patients with gastric and colorectal cancer after adjusting for other covariates and to shed light on its temporal validity.

METHODS

Data from Dryad database were used in this study. Patients in the Gastroenterology Department of Sapporo General Hospital, Sapporo, Japan, were enrolled. The starting and ending dates of the enrollment were January 1, 2008 and January 5, 2015, respectively. The cutoff date for follow-up was May 31, 2016. The independent and dependent (target) variables were the baseline measured using the KRS and final all-cause mortality, respectively. The KRS was categorized into three groups: Low-risk group (= 0 score), intermediate-risk group (1-2 score), and high-risk group (≥ 3 score).

RESULTS

Men and patients with Eastern Cooperative Oncology Group Performance Status (ECOG PS) ≥ 2 displayed a higher 2-year risk of death than women and those with ECOG PS 0-1 in the intermediate/high risk group for KRS. The higher the score, the higher the risk of early death; however, the relevance of this independent prediction decreased with longer survival. The overall survival of each patient was recorded via real-world follow-up and retrospective observations, and this study yielded the overall relationship between KRS and all-cause mortality.

CONCLUSION

The prechemotherapy baseline of KRS was independently associated with all-cause mortality within 2 years; however, this independent predictive relationship weakened as survival time increased.

Early mortality in patients with cancer treated with immune checkpoint inhibitors in routine practice

BACKGROUND

We sought to estimate the proportion of patients with cancer treated with immune checkpoint inhibitors (ICI) who die soon after starting ICI in the real world and examine factors associated with early mortality (EM).

METHODS

We conducted a retrospective cohort study using linked health administrative data from Ontario, Canada. EM was defined as death from any cause within 60 days of ICI initiation. Patients with melanoma, lung, bladder, head and neck, or kidney cancer treated with ICI between 2012 and 2020 were included.

RESULTS

A total of 7126 patients treated with ICI were evaluated. Fifteen percent (1075 of 7126) died within 60 days of initiating ICI. The highest mortality was observed in patients with bladder and head and neck tumors (approximately 21% each). In multivariable analysis, previous hospital admission or emergency department visit, prior chemotherapy or radiation therapy, stage 4 disease at diagnosis, lower hemoglobin, higher white blood cell count, and higher symptom burden were associated with higher risk of EM. Conversely, patients with lung and kidney cancer (compared with melanoma), lower neutrophil to lymphocytes ratio, and with higher body mass index were less likely to die within 60 days post ICI initiation. In a sensitivity analysis, 30-day and 90-day mortality were 7% (519 of 7126) and 22% (1582 of 7126), respectively, with comparable clinical factors associated with EM identified.

CONCLUSIONS

EM is common among patients treated with ICI in the real-world setting and is associated with several patient and tumor characteristics. Development of a validated tool to predict EM may facilitate better patient selection for treatment with ICI in routine practice.

Clinical practice guidelines for the treatment and prevention of cancer-associated thrombosis

The risk of venous thromboembolism (VTE) is increased in patients with cancer and is greatest in those with cancers of the pancreas, stomach, brain, lung and ovary, late stage disease and in those undergoing treatment including chemotherapy, hormonal therapy, or surgery. VTE in patients with cancer is associated with a variety of adverse consequences including an increased risk of VTE recurrence, major bleeding, and early mortality. A VTE risk score for ambulatory patients receiving cancer chemotherapy has been extensively validated and has been used to select high risk patients for thromboprophylaxis trials. Several randomized controlled trials (RCTs) and meta-analyses of these trials have confirmed that LMWHs can significantly reduce the risk of VTE in patients with cancer. While the direct oral anticoagulants (DOACs) have been approved for the general population, previous guideline panels discouraged their use due to a lack of cancer-specific data. Recently RCTs for the treatment of established VTE in patients with cancer have demonstrated that the risk of recurrent VTE is lower while the risk of bleeding greater with DOACs compared to LMWH. Two thromboprophylaxis trials comparing low dose DOACs to placebo in high risk patients receiving cancer therapy have recently reported similar rates of VTE occurrence at 6 months in the control arms. A meta-analysis of the pooled results from these trials in higher risk ambulatory patients receiving cancer therapy confirmed a significant reduction in overall VTE incidence as well as pre-planned secondary outcomes on treatment. Several clinical practice guidelines addressing VTE in patients with malignant disease have been updated including those from the American Society of Clinical Oncology (ASCO). The addition of DOACs as an option for the management of VTE in patients with cancer is the latest major change to previous guidelines issued by these organizations. The updated recommendations from these guidelines are summarized in this review.

Healthcare costs of patients with cancer stratified by Khorana score risk levels

AIMS

Patients with cancer are at high risk of venous thromboembolism (VTE), which entails a high economic burden. The risk of cancer-associated VTE can be assessed using the Khorana score (KS), a validated VTE risk prediction algorithm. This study compared healthcare costs associated with different KS in a population of patients newly diagnosed with cancer.

METHODS

The Optum Clinformatics DataMart database (01/01/2012-09/30/2017) was used to select adult patients with ≥1 hospitalization or ≥2 outpatient claims with a cancer diagnosis (index date) initiated on systemic therapy or radiation therapy. Patients were classified in mutually exclusive cohorts based on KS (i.e. KS = 0, 1, 2 or ≥3). The observation period spanned from index to the earliest among the end of data availability, death, end of insurance coverage, or 12 months.

RESULTS

In total 6,194 patients (KS = 0: 2,488; KS = 1: 2,125; KS = 2: 1,074; KS ≥ 3: 507) were included. On average, patients were aged 68 years, 48-52% were female, and the Quan-Charlson comorbidity index ranged between 1.1 and 1.4. Over the observation period, all-cause total healthcare costs per patient per month (PPPM) were $8,826 (KS = 0), $11,598 (KS = 1), $14,028 (KS = 2), and $16,211 (KS ≥ 3). Using the KS = 0 cohort as a reference, adjusted PPPM costs were $2,506, $4,775, and $6,452 higher in the KS = 1, KS = 2, and KS ≥ 3 cohorts, respectively. Hospitalization and outpatient costs were the main drivers of these differences. Similar results were found for VTE-related costs, which represented 4-11% of the total all-cause cost difference between KS cohorts.

LIMITATIONS

Residual confounders; results may not be generalized to patients with other insurance plans or those who received treatments other than systemic therapy or radiation therapy.

CONCLUSIONS

This real-world analysis found that cancer patients at higher risk of VTE (based on KS) incurred significantly greater all-cause and VTE-related healthcare costs compared with cancer patients at lower risk of VTE.