Factors associated with lung cancer patients refusing treatment and their survival: a national cohort study under a universal health insurance in Taiwan

Effects of the Coronavirus disease 2019 pandemic on mortality in patients with lung cancer: A multiple mediation analysis in Japan

COVID-19 pandemic has had a substantial effect on healthcare systems worldwide, including the care of patients with lung cancer. The impact of healthcare disruptions and behavioral changes on lung cancer mortality is unclear. Patients newly diagnosed with lung cancer during the pandemic period 2020-2021 were compared with those diagnosed in the pre-pandemic 2018-2019. The primary outcome was all-cause mortality within 1 year. Cox proportional hazards regression analyses were conducted to estimate the changes in mortality between pandemic and pre-pandemic. Multiple mediation analyses were performed to determine the factors that accounted for the changes in mortality. In total, 5785 patients with lung cancer were included in this study. The overall mortality rate was significantly higher during the pandemic compared with the pre-pandemic (crude hazard ratio [HR]: 1.19, 95% confidence interval [CI]: 1.05, 1.29). Mediation analyses showed that not receiving tumor-directed treatment, diagnosis at an older age, and decreased diagnosis through cancer screening significantly accounted for 17.5% (95%CI: 4.2, 30.7), 13.9% (95%CI: 0.8, 27.0), and 12.4% (95%CI: 3.0, 21.8) of the increased mortality, respectively. This study revealed a significant increase in mortality risk in patients with lung cancer who have not received tumor-directed treatment or cancer screening, despite potential selection bias for follow-up status. Efforts should be focused on ensuring timely access to healthcare services, optimizing treatment delivery, and addressing the unique challenges faced by patients with lung cancer during the pandemic to mitigate the impact of the pandemic on lung cancer outcomes and provide clinical care to vulnerable populations.

The survival and cost-effectiveness analysis of adjunctive Chinese medicine therapy for patients with non-small cell lung cancer: a nationwide cohort study in Taiwan

Introduction: Cancer, particularly lung cancer, is a significant global healthcare challenge. Non-Small Cell Lung Cancer (NSCLC) constitutes 85% of cases. Patients often seek alternative therapies like Chinese medicine alongside Western treatments. This study investigates the survival outcomes and cost-effectiveness of adjunctive Chinese medicine therapy for NSCLC patients in Taiwan. Methods: We utilized the National Health Insurance Research Database in a retrospective cohort study from 2000 to 2018, focusing on NSCLC patients diagnosed between 2007 and 2013. After propensity score matching 1:5 ratio, then compared patients with and without adjunctive Chinese medicine therapy. Survival outcomes, cost-effectiveness, and sensitivity analyses were conducted. Results: The study involved 43,122 NSCLC patients with 5.76% receiving adjunctive Chinese medicine. There is no significant associated between the risk of death and adjuvant Chinese medicine therapy until 181-365 days of adjuvant treatment could reduce the risk of death (HR = 0.88, 95% CI: 0.80-0.98). Cost-effectiveness analysis showed an incremental cost-effectiveness ratio of 880,908 NT$/year. Conclusion: Adjunctive Chinese medicine therapy, particularly when administered for 181-365 days, significantly reduced the mortality risk among stage IV NSCLC patients. The cost-effectiveness aligns with willingness-to-pay thresholds, indicating economic benefit.

Cancer treatment refusal decisions in advanced cancer: a retrospective case-control study

OBJECTIVE

Cancer remains one of the leading causes of death worldwide. Despite advancements in anticancer therapy, some patients decide against treatment. Our study focused on characterising therapy refusal in advanced-stage malignancies and further determining if certain variables significantly correlated with refusal, compared with acceptance.

METHODS

Our inclusion criteria were patients aged 18-75 years, stage IV cancers between 1 January 2010 and 31 December 2015 and treatment refusal (cohort 1 (C1)). A randomly selected group of patients with stage IV cancers who accepted treatment within the same timeframe was used for comparison (cohort 2 (C2)).

RESULTS

There were 508 patients in C1 and 100 patients in C2. Female sex was associated with treatment acceptance (51/100, 51.0%) than refusal (201/508, 39.6%); p=0.03. There were no associations between treatment decisions and race, marital status, BMI, tobacco use, previous cancer history, or family cancer history. Government-funded insurance was associated with treatment refusal (337/508, 66.3%) than acceptance (35/100, 35.0%); p<0.001. Age was associated with refusal (p<0.001). Average age of C1 was 63.1 years (SD:8.1) and C2 was 59.2 years (SD:9.9). Only 19.1% (97/508) in C1 were referred to palliative medicine, with 18% (18/100) in C2; p=0.8. There was a trend for patients who accepted therapy to have more comorbidities per the Charlson Comorbidity Index(p=0.08). The treatment of psychiatric disorders after cancer diagnosis was inversely associated with treatment refusal (p<0.001).

CONCLUSIONS

The treatment of psychiatric disorders after cancer diagnosis was associated with cancer treatment acceptance. Male sex, older age and government-funded health insurance were associated with treatment refusal in patients with advanced cancer. Those who refused treatment were not increasingly referred to palliative medicine.

How do cancer patients refuse treatment? A grounded theory study

BACKGROUND

All cancer patients, except for a small fraction, seek treatment after becoming aware of the disease. That small fraction do not seek any treatment due to various reasons, and this phenomenon is unknown to us. Therefore, the present study aimed to discover the reasons for treatment refusal in cancer patients.

METHODS

This qualitative grounded theory study was conducted on 22 participants including patients, caregivers, physicians, and nurses. Purposive theoretical sampling was employed. Data were collected through in-depth interviews. All interviews were gradually transcribed and analyzed. Data analysis was carried out through the three-step method of open, axial, and selective coding and was continued until theoretical saturation. Straussian Grounded Theory was used for data analysis.

RESULTS

A total of 4 themes and 20 sub-themes were extracted in this study. The core variable extracted from the interviews was "resilience" Other related themes included encounter with cancer, fighting cancer, and coping with cancer. The findings showed that in the context of fighting cancer, patients lost their resilience through various processes and refused treatment.

CONCLUSION

Cancer patients abandon the treatment in silence, oncologists and even family members being unaware of the matter. In other words, refusal of treatment is like an iceberg and the majority of the patients who have abandoned treatment are unknown to the health system. The model obtained in this study can increase the knowledge of the process that leads patients to lose their resilience against cancer and abandon treatment, which can increase the possibility of recognizing and predicting treatment refusal for oncologists.

Treatment patterns and survival in patients with small cell lung cancer in Taiwan

BACKGROUND

Small cell lung cancer (SCLC) is the most aggressive form of lung cancer. The chemotherapy regimens and their efficacy in practice are seldom reported. We aimed to investigate treatment patterns and survival outcomes of patients with SCLC in Taiwan.

METHODS

Patients newly diagnosed with SCLC from 2011 to 2015 were identified from the Cancer Registry database. Their clinical characteristics, treatment regimens, and survival status were obtained from National Health Insurance Research database. The Kaplan-Meier method and Cox-proportional hazard model were used to analyze the survival outcomes.

RESULTS

Among a total of 2707 patients enrolled, 439 were in the limited stage (LS, 16.22%) and 2268 were in the extensive stage of the disease (ES, 83.78%). The median age was 66 and the majority were male (90.36%). The first-line regimen used for the patients was etoposide/cisplatin-based treatment, followed by etoposide/carboplatin-based regimen, and etoposide only. The median overall survival (OS) was 16.92 months (95% confidence interval [CI] 15.31-18.92) and 8.71 months (95% CI 8.38-9.07) in LS and ES patients, respectively. Chemotherapy regimen, Eastern Cooperative Oncology Group performance status, and history of radiotherapy were significant factors associated with OS. On the other hand, the major second-line treatment was a topotecan-based regimen (68.3%). However, this showed inferior survival outcome compared to etoposide-based regimen (5.09 months [95% CI 4.76-5.62] versus 8.77 months [95% CI 6.31-11.89], p < 0.001).

CONCLUSION

Etoposide is the preferred and superior first-line chemotherapy regimen in combination with platinum, and an alternative choice of second-line regimen for Taiwanese patients with SCLC.

Differences in therapy and survival between lung cancer patients treated in hospitals with high and low patient case volume

BACKGROUND

In light of political discussions about minimum case volumes and certified lung cancer centers, this observational study investigates differences in therapy and survival between high vs. low patient volume hospitals (HPVH vs. LPVH).

METHODS

We identified 12,374 lung cancer patients treated in HPVH (>67 patients) and LPVH in 2013 from German health insurance claims. Stratified by metastasis status (no metastases, nodal metastases, systemic metastases), we compared HPVHs and LPVHs regarding likelihood of resection and systemic therapy, type of systemic therapy, and surgical outcomes, using multivariate logistic models. Three-year survival was modeled using Cox regression. We adjusted all regression models for age, gender, comorbidity, and residence area, and included a cluster variable for the hospital.

RESULTS

Around 24 % of patients were treated in HPVHs. Irrespective of stratum and subgroup, three-year survival was significantly better in HPVHs. In patients with systemic metastases (OR = 1.84, CI=[1.22,2.76]) and without metastases (OR = 3.28, CI=[2.13, 5.04]), resection was more likely in HPVHs. Among patients with systemic therapy, the odds of receiving pemetrexed was higher in HPVHs, in patients with nodal metastases (OR = 1.57, CI=[1.01,2.45]). In resected patients without metastases the odds ratio of receiving a thoracoscopic lobectomy was 2.28 (CI=[1.04,4.99]) in HPVHs.

CONCLUSION

Our data suggests that case volume is clinically relevant in resected and non-resected lung cancer patients, but optimal minimum case volumes may differ for subgroups.

Outcome of stage IV cancer patients receiving in-hospital cardiopulmonary resuscitation: a population-based cohort study

The effects of cardiopulmonary resuscitation (CPR) on patients with advanced cancer remain to be elucidated. We identified a cohort of patients with stage-IV cancer who received in-hospital CPR from the Taiwan Cancer Registry and National Health Insurance claims database, along with a matched cohort without cancer who also received in-hospital CPR. The main outcomes were post-discharge survival and in-hospital mortality. In total, 3,446 stage-IV cancer patients who underwent in-hospital CPR after cancer diagnosis were identified during January 2009–June 2014. A vast majority of the patients did not survive to discharge (n = 2,854, 82.8%). The median post-discharge survival was 22 days; 10.1% (n = 60; 1.7% of all patients) of the hospital survivors received anticancer therapy after discharge. We created 1:1 age–, sex–, Charlson comorbidity index (CCI)–, and year of CPR–matched noncancer and stage-IV cancer cohorts (n = 3,425 in both; in-hospital mortality rate = 82.1% and 82.8%, respectively). Regression analysis showed that the stage-IV cancer cohort had shorter post-discharge survival than did the noncancer cohort. The outcome of patients with advanced cancer was poor. Even among the survivors, post-discharge survival was short, with only few patients receiving further anticancer therapy.

"Age matters"-German claims data indicate disparities in lung cancer care between elderly and young patients

Background

Although lung cancer is most commonly diagnosed in elderly patients, evidence about tumor-directed therapy in elderly patients is sparse, and it is unclear to what extent this affects treatment and care. Our study aimed to discover potential disparities in care between elderly patients and those under 65 years of age.

Methods

We studied claims from 13 283 German patients diagnosed with lung cancer in 2009 who survived for at least 90 days after diagnosis. We classified patients as “non-elderly” (≤ 65), “young-old” (65–74), “middle-old” (75–84), and “old-old” (≥ 85). We compared receipt of tumor-directed therapy (6 months after diagnosis), palliative care, opioids, antidepressants, and pathologic diagnosis confirmation via logistic regression. We used generalized linear regression (gamma distribution) to compare group-specific costs of care for 3 months after diagnosis. We adjusted all models by age, nursing home residency, nursing care need, comorbidity burden, and area of residence (urban, rural). The age group “non-elderly” served as reference group.

Results

Compared with the reference group “non-elderly”, the likelihood of receiving any tumor-directed treatment was significantly lower in all age groups with a decreasing gradient with advancing age. Elderly lung cancer patients received significantly fewer resections and radiotherapy than non-elderly patients. In particular, treatment with antineoplastic therapy declined with increasing age (“young-old” (OR = 0.76, CI = [0.70,0.83]), “middle-old” (OR = 0.45, CI = [0.36,0.50]), and “old-old” (OR = 0.13, CI = [0.10,0.17])). Patients in all age groups were less likely to receive structured palliative care than “non-elderly” (“young-old” (OR = 0.84, CI = [0.76,0.92]), “middle-old” (OR = 0.71, CI = [0.63,0.79]), and “old-old” (OR = 0.57, CI = [0.44,0.73])). Moreover, increased age was significantly associated with reduced quotas for outpatient treatment with opioids and antidepressants. Costs of care decreased significantly with increasing age.

Conclusion

This study suggests the existence of age-dependent care disparities in lung cancer patients, where elderly patients are at risk of potential undertreatment. To support equal access to care, adjustments to public health policies seem to be urgently required.

Effect of length of time from diagnosis to treatment on colorectal cancer survival: A population-based study

Evidence is limited regarding the effect of diagnosis-to-treatment interval (DTI) on the survival of colorectal cancer (CRC) patients. In addition, previous studies on treatment delay and CRC survival have largely grouped patients from all stages (I-IV) into one cohort. Our study provides analysis on each stage individually. We conducted a retrospective cohort study with 39,000 newly diagnosed CRC patients obtained from the Taiwan Cancer Registry Database from 2004–2010 to examine the effect of DTIs on overall survival. DTIs were divided into 3 groups: ≤ 30 days (36,115 patients, 90.5% of study patients), 31–150 days (2,533, 6.4%), and ≥ 151 days (1,252, 3.15%). Risk of death was increased for DTI 31–150 days (hazard ratio 1.51; 95% confidence interval 1.43–1.59) and DTI ≥ 151 days (1.64; 1.54–1.76) compared to DTI ≤ 30. This risk was consistent across all cancer stages. Additional factors that increased risk of death include male gender, age >75, Charlson Comorbidity Index ≥7, other catastrophic illnesses, lack of multidisciplinary team involvement, and treatment in a low volume center. From these results, we advise that the DTI for all CRC patients, regardless of cancer staging, should be 30 days or less.

Higher Age Puts Lung Cancer Patients at Risk for Not Receiving Anti-cancer Treatment

PURPOSE

We aimed to determine the demographic and epidemiologic variables that are associated with no treatment in lung cancer patients.

Materials and Methods

Patient data were collected from the Korean National Health Insurance Database. The lung cancer group included patients with an initial diagnosis of lung cancer between January 2009 and December 2014. Treated cases were defined as those that underwent surgery, radiation, or chemotherapy until death, after the diagnosis of lung cancer. Risk of no treatment was calculated by multiple logistic regression analysis.

RESULTS

Among the 2148 new cases of lung cancer from 2009 to 2104, 612 (28.4%) were not treated. Risk of no treatment was higher in the following patients: patients in their 60s (odds ratio [OR], 1.18; 95% confidence interval [CI], 0.75 to 1.84), 70s (OR, 3.64; 95% CI, 2.41 to 5.50), and >80 years old (OR, 16.55; 95% CI, 10.53 to 25.03) than those in their 50s; patients with previous myocardial infarction (OR, 2.07; 95% CI, 1.01 to 4.25) or chronic kidney disease (OR, 2.88; 95% CI, 1.57 to 5.30); and patients diagnosed at a non-referral hospital (OR, 1.40; 95% CI, 1.01 to 1.92) or primary care provider (OR, 1.81; 95% CI, 1.43 to 2.29) compared with referral hospital. Low-income patients receiving Medicaid were 1.75 times (95% CI, 1.14 to 2.68) more likely to forgo treatment than high-income patients (upper 20%). Risk was not associated with sex or the year in which the lung cancer was diagnosed.

CONCLUSION

Age predominantly determines whether patients with lung cancer undergo anti-cancer treatment.

Patient Choice of Nonsurgical Treatment Contributes to Disparities in Head and Neck Squamous Cell Carcinoma

Objectives

There are well-established outcome disparities among different demographic groups with head and neck squamous cell carcinoma (HNSCC). We aimed to investigate the potential contribution of patient choice of nonsurgical treatment to these disparities by estimating the rate of this phenomenon, identifying its predictors, and estimating the effect on cancer-specific survival.

Study Design

Retrospective nationwide analysis.

Settings

Surveillance, Epidemiology, and End Results Database (2004-2014).

Subjects and Methods

Patients with HNSCC, who were recommended for primary surgery, were included. Multivariable logistic regression was used to identify demographic and clinical factors associated with patient choice of nonsurgical treatment, and Kaplan Meier/Cox regression was used to analyze survival.

Results

Of 114,506 patients with HNSCC, 58,816 (51.4%) were recommended for primary surgery, and of those, 1550 (2.7%) chose nonsurgical treatment. Those who chose nonsurgical treatment were more likely to be older (67.1 ± 12.6 vs 63.6 ± 13.1, P < .01), were of Black (odds ratio [OR], 1.49; 95% confidence interval [CI], 1.28-1.74) or Asian (OR = 1.79; 95% CI, 1.46-2.20) ethnicity, were unmarried (OR married, 0.50; 95% CI, 0.44-0.58), had an advanced tumor, and had a hypopharyngeal or laryngeal primary. Choice of nonsurgical treatment imparted a 2.16-fold (95% CI, 2.02-2.30) increased risk of cancer-specific death.

Conclusion

Of the patients, 2.7% chose nonsurgical treatment despite a provider recommendation that impairs survival. Choice of nonsurgical treatment is associated with older age, having Black or Asian ethnicity, being unmarried, having an advanced stage tumor, and having a primary site in the hypopharynx or larynx. Knowledge of these disparities may help providers counsel patients and help patients make informed decisions.

Effect of postoperative systemic therapy on pulmonary adenocarcinoma with unexpected pleural spread detected during thoracotomy or thoracoscopy

Background

Occasionally, malignant pleural disease is only detected unexpectedly during surgery in patients with pulmonary adenocarcinoma. Previous studies mostly focused on the role of main tumor resection on patient's outcome, barely addressing the position of postoperative systemic therapy.

Methods

The medical records of 5321 non-small cell lung cancer patients who underwent thoracic surgery between January 1990 and December 2012 were reviewed. Pulmonary adenocarcinoma patients with unexpected pleural spread noted during surgery were included. The clinical and postoperative treatment variables were assessed for correlation with overall survival.

Results

In 134 patients identified, main tumor resection was performed in 87 (64.9%) patients, while 89 (66.4%) and 57 (42.5%) patients received postoperative chemotherapy and epidermal growth factor receptor- tyrosine kinase inhibitor (EGFR -TKI) therapy, respectively. Overall, the 5-year survival rate was 30.2% and median survival time was 29.3 months. Multivariate analysis showed main tumor resection and EGFR-TKI therapy were associated with better survival. Mutational status of EGFR was available in 57 patients and 43 (75.4%) had activating mutations. Resection of the main tumor conferred a better outcome in patients without EGFR mutation or with unknown EGFR mutation status and had not been treated with EGFR-TKI therapy (P = 0.003), but not in those with activating EGFR mutation and had been treated with EGFR-TKI (P = 0.857).

Conclusions

In pulmonary adenocarcinoma patients with unexpected pleural spread detected during surgery, main tumor resection and EGFR-TKI therapy correlated with better survival. Identifying EGFR mutation status before surgery can provide useful information for clinical decision during surgery.

Lung adenocarcinoma with intraoperatively diagnosed pleural seeding: Is main tumor resection beneficial for prognosis?

OBJECTIVE

To evaluate whether main tumor resection improves survival compared with pleural biopsy alone in patients with lung adenocarcinoma with intraoperatively diagnosed pleural seeding.

METHODS

Forty-three patients with lung adenocarcinoma with pleural seeding diagnosed unexpectedly during surgery performed between January 2006 and December 2014 were included in this retrospective study using a prospectively collected lung cancer database. Each surgeon decided whether to perform main tumor resection or pleural biopsy alone.

RESULTS

Main tumor and visible pleural nodule resection was performed in 30 patients (tumor resection group). The remaining 13 patients underwent pleural nodule biopsy alone (open-close group). The clinical T stage was higher in the open-close group than in the tumor resection group (P = .02). The tumor resection group had longer operative times compared with the open-close group (mean, 141.8 vs 80.3 minutes). There were no other statistically significant differences in perioperative parameters. The surgical method was the sole statistically significant prognostic factor. Patients in the tumor resection group had better progression-free survival (3-year survival: 44.5% vs 0%; P = .009) and overall survival (3-year survival: 82.9% vs 38.5%; P = .013) than did the open-close group. There was no significant survival difference between sublobar resection and lobectomy for the main tumor resection.

CONCLUSIONS

Our study demonstrated improved progression-free and overall survival after main tumor and visible pleural nodule resection in patients with lung adenocarcinoma with intraoperatively diagnosed pleural seeding. Further randomized trials are needed to define the role of main tumor resection in these patients.

Risk factors associated with treatment refusal in lung cancer

Background

The incidence of lung cancer is increasing with longer life expectancy. Refusal of active treatment for cancer is prone to cause patients to experience more severe symptoms and shorten survival. The purpose of this study was to define the factors related to refusal or abandonment of active therapy in lung cancer.

Methods

We retrospectively reviewed the data of 617 patients from medical records from 2010 to 2014. Two groups were formed: 149 patients who refused anti‐cancer treatment and allowed only palliative care were classified into the non‐treatment group, while the remaining 468 who received anti‐cancer treatment were classified into the treatment group.

Results

The groups differed significantly in age, employment, relationship status, number of offspring, educational status, body mass index, presence of chest and systemic symptoms, Charlson Comorbidity Index, Eastern Cooperative Oncology Group score, and tumor node metastasis stage (P < 0.05). In logistic regression analysis, age (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.07–1.13), educational status lower than high school (OR 1.95, 95% CI 1.2–3.2), no history of surgery (OR 2.29, 95% CI 1.4–3.7), body mass index < 18.5 (OR 2.49, 95% CI 1.3–4.7), and a high Eastern Cooperative Oncology Group score of 3 or 4 (OR 5.02, 95% CI 2.3–10.8) were significant factors for refusal of cancer treatment.

Conclusion

Individual factors, such as old age, low educational status, low weight, and poor performance status can influence refusal of cancer treatment in patients with lung cancer, and should be considered prior to consultation with patients.

Clinical practice guidelines of the French Association for Supportive Care in Cancer and the French Society for Psycho-oncology: refusal of treatment by adults afflicted with cancer

PURPOSE

The study's purpose was to develop practical guidelines for assessment and management of refusal of treatment by adults afflicted with cancer.

METHODS

The French Association for Supportive Care in Cancer and the French Society for Psycho-oncology gathered a task force that applied a consensus methodology to draft guidelines studied predisposing situations, the diagnosis, regulatory aspects, and the management of refusal of treatment by adults afflicted with cancer.

RESULTS

We propose five guidelines: (1) be aware of the conditions/profiles of patients most often associated with refusal of treatment so as to adequately underpin the care and support measures; (2) understand the complexity of the process of refusal and knowing how to accurately identify the type and the modalities of the refused treatments; (3) apply a way to systematically analyze refusal, thereby promoting progression from a situation of disaccord toward a consensual decision; (4) devise procedures, according to the legal context, to address refusal of treatment that safeguards the stakeholders in situations of sustained disaccord; and (5) know the indications for ethical collective decision-making.

CONCLUSION

The quality of the relationship between patients and health professionals, and the communication between them are essential components involved in reaching a point of consent or refusal of treatment. A process of systematic analysis of refusal is recommended as the only way to ensure that all of the physiological, psychological, and contextual elements that are potentially involved are taken into account.

Factors involved in the delay of treatment initiation for cervical cancer patients: A nationwide population-based study

Cervical cancer ranks as the fourth leading cause of cancer death in women worldwide. In Taiwan, although the universal health insurance system has achieved 99.9% coverage and ensured easy access to medical care, some cervical cancer patients continue to delay initiation of definitive treatment after diagnosis. This study focused on cervical cancer patients who delayed treatment for at least 4 months, and examined the characteristics, related factors, and survival in these patients.Data on patients with a new confirmed diagnosis of cervical cancer by the International Federation of Gynecology and Obstetrics (FIGO) staging system between 2005 and 2010 were obtained from the National Health Insurance Research Database and the Taiwan Cancer Registry. Logistic regression analysis was performed to analyze the association of various factors with treatment delay. The Cox proportional hazards model was used to analyze the effects of various factors on mortality risk.The rate of treatment delay for cervical cancer decreased steadily from 6.46% in 2005 to 2.48% in 2010. Higher rates of treatment delay were observed among patients who were aged ≥75 years (9.91%), had severe comorbidity, had stage IV (9.50%), diagnosing hospital level at nonmedical center, or at public hospital ownership. Factors that correlated with treatment delay were age ≥75 years (odds ratio [OR] = 2.42), higher comorbidity Charlson comorbidity index (CCI) 4-6, or ≥7 (OR = 1.60, 2.00), cancer stage IV (OR = 2.60), the diagnosing hospital being a regional, district hospital, or other (OR = 3.00, 4.01, 4.60), and at public hospital ownership. Those who delayed treatment had 2.31 times the mortality risk of those who underwent timely treatment (P < 0.05).Delayed cervical cancer treatment in Taiwan was associated with age, comorbidity, cancer stage, diagnosing hospital level, and hospital ownership. Delaying treatment for ≥4 months substantially raised mortality risk in cervical cancer patients.

The Influence of Comorbidity and the Simplified Comorbidity Score on Overall Survival in Non-Small Cell Lung Cancer-A Prospective Cohort Study

INTRODUCTION

We addressed the uncertainty of comorbidity as a prognosticator by evaluating comorbidity and the Simplified Comorbidity Score (SCS) as predictors of overall survival in non-small cell lung cancer (NSCLC).

METHODS

A prospective study included patients in whom NSCLC was diagnosed at an Australian cancer hospital between 2012 and 2014. Patients were assessed for SCS at recruitment and followed up every 3 months until death.

RESULTS

The cohort included 633 patients; their median age was 67 years (range 28-93), 63% were male, and 86% were ever-smokers. The median SCS at enrolment was 8 (range 0-19); 20% had an SCS higher than 9, and 11% had an SCS of 0. An SCS higher than 9 was associated with male sex, age older than 75 years, an Eastern Cooperative Oncology Group performance status of 2 or higher, and fewer cancer treatments. The 1-year overall survival rate was 62% (95% confidence interval: 58-66). In multivariate analysis, the strongest associations with mortality were metastatic disease (hazard ratio [HR] = 2.8, p < 0.01), Eastern Cooperative Oncology Group performance status of 2 or higher (HR = 2.0, p < 0.01), male sex (HR = 1.6, p < 0.01), more than 10% weight loss at diagnosis (HR = 1.5, p < 0.01), and age older than 75 years (HR = 1.5, p = 0.01). An SCS higher than 9 was not associated with overall survival (HR = 1.0, p = 0.8), and the effect of continuous SCS (HR = 1.1, p < 0.01) was explained by smoking status.

CONCLUSIONS

In this cohort of patients with NSCLC the SCS was not a clinically significant predictor of overall survival over and above basic patient and disease factors.