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Article

Chronic Obstructive Pulmonary Disease and Its Acute Exacerbation before Colon Adenocarcinoma Treatment Are Associated with Higher Mortality: A Propensity Score-Matched, Nationwide, Population-Based Cohort Study

1
Division of Chest Medicine, Department of Internal Medicine, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 256, Taiwan
2
Department of Colorectal Surgery, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 256, Taiwan
3
Division of Thoracic Surgery, Department of Surgery, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 256, Taiwan
4
Department of Food Nutrition and Health Biotechnology, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
5
Big Data Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 256, Taiwan
6
Division of Radiation Oncology, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 256, Taiwan
7
Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung 413, Taiwan
8
Cancer Center, Lo-Hsu Medical Foundation, Lotung Poh-Ai Hospital, Yilan 256, Taiwan
9
Graduate Institute of Business Administration, Fu Jen Catholic University, Taipei 242062, Taiwan
10
Centers for Regional Anesthesia and Pain Medicine, Taipei Municipal Wan Fang Hospital, Taipei Medical University, Taipei 110, Taiwan
*
Authors to whom correspondence should be addressed.
These authors have contributed equally to this study.
Cancers 2021, 13(18), 4728; https://doi.org/10.3390/cancers13184728
Submission received: 3 August 2021 / Revised: 19 September 2021 / Accepted: 19 September 2021 / Published: 21 September 2021

Abstract

:

Simple Summary

This is the first study to reveal that hospitalization frequency for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) before colon adenocarcinoma treatment is a severity-dependent and independent prognostic factor for overall survival in patients with stage I–III colon cancer receiving surgical resection and standard treatments. In patients with colon adenocarcinoma undergoing curative resection, those with chronic obstructive pulmonary disease (COPD) had poorer survival outcomes than had those without COPD. Hospitalization for AECOPD at least once within 1 year before colon adenocarcinoma diagnosis is an independent risk factor for poor overall survival in these patients, and a higher number of hospitalizations for AECOPD within 1 year before diagnosis was associated with poorer survival. Our study may be applied to accentuate the importance of COPD management, particularly the identification of frequent exacerbators and the prevention of AECOPD, before standard colon adenocarcinoma treatments are initiated.

Abstract

Purpose: To investigate whether chronic obstructive pulmonary disease (COPD) and COPD severity (acute exacerbation of COPD (AECOPD)) affect the survival outcomes of patients with colon adenocarcinoma receiving standard treatments. Methods: From the Taiwan Cancer Registry Database, we recruited patients with clinical stage I–III colon adenocarcinoma who had received surgery. The Cox proportional hazards model was used to analyze all-cause mortality. We categorized the patients into COPD and non-COPD (Group 1 and 2) groups through propensity score matching. Results: In total, 1512 patients were eligible for further comparative analysis between non-COPD (1008 patients) and COPD (504 patients) cohorts. In the multivariate Cox regression analysis, the adjusted hazard ratio (aHR; 95% confidence interval (CI)) for all-cause mortality for Group 1 compared with Group 2 was 1.17 (1.03, 1.29). In patients with colon adenocarcinoma undergoing curative resection, the aHRs (95% CIs) for all-cause mortality in patients with hospitalization frequencies of ≥1 and ≥2 times for AECOPD within 1 year before adenocarcinoma diagnosis were 1.08 (1.03, 1.51) and 1.55 (1.15, 2.09), respectively, compared with those without AECOPD. Conclusion: In patients with colon adenocarcinoma undergoing curative resection, COPD was associated with worse survival outcomes. Being hospitalized at least once for AECOPD within 1 year before colon adenocarcinoma diagnosis was an independent risk factor for poor overall survival in these patients, and a higher number of hospitalizations for AECOPD within 1 year before diagnosis was associated with poorer survival. Our study highlights the importance of COPD management, particularly the identification of frequent exacerbators and the prevention of AECOPD before standard colon adenocarcinoma treatments are applied.

1. Introduction

Chronic obstructive pulmonary disease (COPD) was the third leading cause of death and seventh leading cause of disability-adjusted life years worldwide in 2019 [1,2]. However, the COPD burden becomes greater if the relationship of COPD with cancers is considered. COPD is a well-known independent risk factor for lung cancer [3,4,5]. Moreover, recent studies have suggested that regardless of the smoking status, COPD is a risk factor for several extrapulmonary solid organ cancers, including colorectal cancer [6,7]. The treatment outcome of colon cancer may be negatively affected by COPD because it increases the risk of postoperative complications, precludes patients from receiving adjuvant chemotherapy, and reduces the effectiveness of chemotherapy [8,9,10,11]. Nevertheless, to our knowledge, for patients with colon cancer who received surgical resection and standard treatments, no study has been conducted to estimate the long-term mortality risk posed by their pre-existing COPD and their COPD severity (defined as the frequency of acute exacerbation of COPD (AECOPD) associated with hospitalization within 1 year before surgical resection in this study).
In this study, we focused on colon cancer but not colorectal cancer. Colon cancer and rectal cancer are different in terms of patient characteristics, the prevalence and patterns of genetic mutations, plasma protein expression, types of hereditary cancer, blood supply and drainage, innervations, and the invasive growth of primary tumors; hence, their surgical approaches, chemosensitivity, response to and feasibility of radiotherapy, and treatment outcomes also vary [12,13,14].
This study investigated whether COPD and COPD severity affect the survival of patients with colon cancer receiving standard treatments. If COPD severity before colon cancer treatment was identified as a crucial prognostic factor for survival, determining COPD severity before colon cancer treatment and preventing COPD from progressing to AECOPD could improve survival after colon cancer treatment.

2. Patients and Methods

2.1. Study Population

In this study, cohort data were retrieved from the Taiwan Cancer Registry Database (TCRD), a nationwide population-based registry containing data of patients newly diagnosed as having cancer. The patients enrolled in this study were diagnosed as having stage I–III colon adenocarcinoma (according to the Cancer Staging Manual of the American Joint Committee on Cancer (AJCC), eighth edition [15]) between 1 January 2009, and 31 December 2018. The index date was the date on which each patient underwent surgical resection. The follow-up duration was the period from the index date to 31 December 2019. With financial support of Taiwan’s Ministry of Health and Welfare, the TCRD maintains detailed cancer-related information on patients, including disease stage, cigarette smoking habits (but not smoking intensity), treatment modalities, pathologic data, and chemotherapy regimens used [16,17]. The study protocols were reviewed and approved by the Institutional Review Board of Tzu-Chi Medical Foundation (IRB109-015-B).

2.2. Inclusion and Exclusion Criteria

The pathological data of patients were reviewed to confirm their diagnoses, and that no patient enrolled had distant metastases or any other cancer except colon adenocarcinoma. Those who were newly diagnosed as having colon adenocarcinoma and who underwent surgical resection were included if they were ≥20 years old and had pathologic cancer stage of I–III according to the eighth edition of the AJCC Cancer Staging Manual. Patients with high-risk pathologic features—that is, tumor invasion or adherence to adjacent organs or tissues, such as vascular, lymphatic, or perineural invasion—were included. Patients were excluded from the study if they had a history of cancer before their colon adenocarcinoma diagnosis, unknown pathologic types, missing sex data, unclear staging, and a histological type other than adenocarcinoma.
The comorbidity incidence was scored using the Charlson comorbidity index (CCI) [18,19,20]. Comorbidities were coded according to the International Classification of Diseases, 10th Revision, Clinical Modification codes [19]. Comorbidities were included in the CCI score if they were reported and assigned at the first admission or led to more than two outpatient department visits. Only comorbidities observed within 6 months before the index date were considered. Diabetes, hyperlipidemia, hypertension, COPD, end-stage renal disease (ESRD), and coronary heart disease were excluded from the CCI scores to avoid multiple adjustment in the multivariate analysis.

2.3. Propensity-Score Matching and Covariates

We implemented propensity-score matching (PSM) to control confounding effects before comparing all-cause mortality between the COPD and non-COPD cohorts. The cohorts were matched at a ratio of 1:2 in terms of variables such as sex, age, CCI score, diabetes, hyperlipidemia, hypertension, ESRD, coronary heart disease, cigarette smoking habit, histological differentiation grade, urbanization, obesity, chemotherapy (including all neoadjuvant and adjuvant chemotherapies), perineural invasion, lymphovascular invasion, and AJCC pathologic stages. A caliper width of 0.2 was applied for matching [21]. The robust sandwich estimator that considers clustering within matched sets was used for Cox regression. Hazard ratios were calculated through multivariate Cox regression analyses to determine whether any of the following factors were independent predictors of all-cause mortality: COPD status, AECOPD hospitalization frequency within 1 year before surgical resection, sex, age, CCI score, diabetes, hyperlipidemia, hypertension, ESRD, coronary heart disease, cigarette smoking habit, histological differentiation grade, urbanization level, obesity, chemotherapy (including all neoadjuvant and adjuvant treatments), perineural invasion, lymphovascular invasion, and AJCC pathologic stages. These potential predictors were controlled through PSM before further statistical analyses were conducted (Table 1). The primary endpoint for both COPD and non-COPD groups was all-cause mortality. Colon cancer death estimations according to the Cause of Death database are presented in Table 1.
After the inclusion and exclusion criteria were applied and PSM was conducted, 1512 patients diagnosed as having AJCC clinical stage I–III colon adenocarcinoma and who received surgical resection were eligible for further analysis. They were categorized into two groups based on their COPD status to compare all-cause mortality: one group comprised patients diagnosed as having COPD at least 1 year before undergoing surgical resection for their newly diagnosed colon adenocarcinoma, and the other group comprised non-COPD patients (defined as those who had never been diagnosed as having COPD before or throughout the study period). In addition to the comparison of all-cause mortality between COPD and non-COPD groups, we estimated the survival outcomes of patients with COPD who had different frequencies of severe acute exacerbation that resulted in hospitalization. The definition of AECOPD was that patients used the main diagnosis code of AECOPD for hospitalization and had COPD medications, including inhaled short-acting bronchodilator therapy or systemic glucocorticoids, during hospitalization for AECOPD.

2.4. Statistics

Comparative analyses of all-cause mortality between COPD and non-COPD groups were performed after confounders were adjusted. A p value of <0.05 was considered statistically significant in a two-tailed test. All survival curves were estimated using the Kaplan–Meier method, and a comparison of survival curves, stratified according to matched sets, among non-COPD, COPD, and hospitalization for AECOPD groups was performed using a stratified log rank test [22]. All statistical analyses were performed using SAS version 9.3 software (SAS Institute, Cary, NC, USA).

3. Results

3.1. PSM and Study Cohort

There were 3548 patients initially identified for further matching with non-COPD (3044 patients) and COPD (504 patients) cohorts; 57.38% of initial cohort were then excluded. Finally, 1512 patients were eligible for further comparative analysis between non-COPD (1008 patients) and COPD (504 patients) cohorts. The age distribution between the two groups was balanced (Table 1). After head-to-head PSM, the variables of the two cohorts, including sex, diabetes, hyperlipidemia, hypertension, ESRD, cigarette smoking, coronary heart disease, obesity, CCI score, histological differentiation, urbanization, perineural invasion, chemotherapy, lymphovascular invasion, and AJCC pathologic stages, were well matched and showed no statistically significant differences. Death, follow-up time, and hospitalization for AECOPD within 1 year before surgical resection were inconsistent between the two groups.

3.2. Prognostic Factors for All-Cause Mortality and Colon Cancer Death

Table 1 presents that after PSM, not only all-cause death but also colon cancer death was significantly higher in Group 2 than in Group 1 (p < 0.001). A multivariate Cox regression for survival analyses indicated that COPD, hospitalization for AECOPD before surgical resection, age of >60 years, high CCI score, cigarette smoking, high grade of differentiation, perineural invasion, lymphovascular invasion, and advanced AJCC pathologic stages were associated with poor overall survival (OS) (Table 2). No significant differences were observed in explanatory variables, including sex, diabetes, hyperlipidemia, hypertension, ESRD, coronary artery disease, urbanization level, obesity, and chemotherapy (Table 2). In the multivariate Cox regression analysis, the adjusted hazard ratio (aHR) (95% confidence interval (CI)) for all-cause mortality for COPD patients compared with non-COPD patients was 1.17 (1.03, 1.29; p = 0.025). Compared with patients with COPD without AECOPD-associated hospitalization within 1 year before surgical resection, the aHR (95% CI) for all-cause mortality for those who were hospitalized for AECOPD once was 1.08 (1.03, 1.51; p = 0.031), whereas the aHR (95% CI) of all-cause mortality for those who were hospitalized for AECOPD more than once was 1.55 (1.15, 2.09; p = 0.004).

3.3. Kaplan–Meier OS among Non-COPD, COPD, and Hospitalization for AECOPD

The OS curve of patients with COPD was inferior to that of those without COPD (p < 0.001) (Figure 1). The Kaplan–Meier OS curve for patients with COPD hospitalized for AECOPD once within 1 year before surgical resection was inferior to that of those not hospitalized for AECOPD; the curve for those with more frequent AECOPD hospitalizations (≥2) was the worst of all study groups (p < 0.001) (Figure 2).

4. Discussion

This study demonstrated a significant relationship between COPD and colon cancer mortality (Table 2, Figure 1 and Figure 2). The mortality risk increases in patients hospitalized for AECOPD. People hospitalized more than 1 a year before surgical resection have the highest risk. Before this study, no head-to-head PSM study had been conducted to estimate the OS of patients with colon cancer with different COPD histories and severity after they received surgical resection and standard treatments according to the National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines in Oncology (NCCN Guidelines [23]).
Our study indicated that COPD affects the long-term survival of patients diagnosed as having stage I–III colon cancer and receiving standard treatments. This is consistent with the findings of previous studies, which have investigated the association between COPD and colorectal cancer mortality [24,25]. Furthermore, we showed that hospitalization for AECOPD within 1 year before surgical resection was an independent prognostic factor for survival in patients receiving standard treatments for stage I–III colon adenocarcinoma; patients with more frequent hospitalizations for AECOPD (≥2 within 1 year before surgical resection) before colon adenocarcinoma treatments had poorer survival outcomes than did those with less frequent AECOPD hospitalizations before colon adenocarcinoma treatments. In addition, our study results are compatible with those of previous studies, which have identified age, comorbidity, cigarette smoking status, histological differentiation, perineural invasion, lymphovascular invasion, and AJCC pathologic stages as independent predictors of OS [26,27,28,29,30]. The present study is the first to identify hospitalization frequency for AECOPD before colon adenocarcinoma treatments as a severity-dependent independent prognostic factor for the OS of patients with stage I–III colon cancer receiving surgical resection and standard treatments. Although the mechanisms behind our findings require further research, the significance of our findings should be considered in future medical practice and clinical trials concerning colon cancer and COPD. To increase the OS of patients with colon adenocarcinoma, progression prevention from COPD to AECOPD is crucial according to our findings. Moreover, COPD is an independent poor prognostic factor of the OS of patients undergoing colon adenocarcinoma treatments; this finding is compatible with those of previous studies [24,25]. Therefore, during the treatment of patients with colon adenocarcinoma and COPD, prognostic factors for poor OS should be considered as survival indicators in future clinical trials.
One possible mechanism by which COPD lowers the survival rate of patients with colon adenocarcinoma is spillover inflammation, namely a spillover of the airway inflammation into systemic circulation, resulting in increased concentrations of various inflammatory markers [31]. Moreover, the activation of inflammation cytokines such as NF-κB in malignant cells increases the expression of genes whose products promote cancer cell survival and proliferation [32,33]. Therefore, colon cancer death rates are significantly higher in Group 2 based on the aforementioned possible reasons (Table 1). Studies have demonstrated that inflammation contributes to tumorigenesis, and therapies that regulate inflammation inhibit tumor growth and improve survival [24,34]. Patients with COPD have higher serum concentrations of inflammatory markers, such as C-reactive protein (CRP) [35,36,37], fibrinogen [38], interleukin (IL)-6 [35,36], and IL-8 [36]. In patients with colorectal cancer, increased serum CRP concentrations have been linked to poorer survival [39,40]. In one study, patients with hyperfibrinogen (≥2.61 g/L) had lower 5-year overall and disease-free survival rates [41]. In another study, high serum levels of IL-6 were associated with the tumor stage, tumor size, tumor metastasis, and survival of patients [42]. Increased serum levels of IL-8 because of polymorphisms in the IL-8/CXCR2 genes were associated with disease progression, disease recurrence, and drug resistance [43,44,45,46]. Furthermore, patients with COPD with frequent exacerbations were reported to have high levels of inflammatory markers, such as CRP [47], fibrinogen [47], IL-6 [48], soluble tumor necrosis factor-α receptors [37,49,50], and osteoprotegrin [37], which have been shown to be associated with the survival of patients with colorectal cancer [39,40,41,42,51,52,53,54]. In summary, the findings of our study are in line with those of previous studies regarding the COPD spillover hypothesis.
Another possible reason for our findings is the association between lung function decline and the survival of patients with colon cancer. A recent retrospective study of 1375 patients revealed that patients with colorectal cancer who had ventilatory insufficiency—namely an increase in the minute ventilation to carbon dioxide excretion ratio measured through cardiopulmonary exercise testing—was associated with a decreased long-term survival rate up to 5 years after surgery [25]. Conditions affecting ventilatory efficiency include heart failure, senescence, pulmonary hypertension, chronic smoking, interstitial lung diseases, and COPD [55,56]. Ventilatory inefficiency may develop before a patient is diagnosed as having COPD and worsen along with a decrease in forced expiratory volume in 1 s (FEV1) [55]. The relationship between AECOPD frequency and FEV1 decline has been observed in multiple studies [57,58], and the frequency of hospitalization for AECOPD within 1 year before commencement of standard colon cancer treatments is associated with long-term survival in these patients.
A previous study conducted by van de Schans et al. has reported that the overall mortality for colon cancer patients with COPD was higher than that for others without COPD, and the difference is more significant in those aged 65 and above [59]. However, cancer stages and consistent cancer treatments (major confounding factors of mortality) were not specified in the study [59]. Moreover, information about COPD severity (defined as the frequency of AECOPD associated with hospitalization within 1 year before surgical resection in our study) was not included either [59]. Our study investigated whether COPD and COPD severity affect the survival of patients with colon cancer receiving standard treatments. COPD severity before colon cancer treatments may be a crucial prognostic factor for survival. Therefore, determining COPD severity and preventing COPD from progressing to AECOPD before colon cancer treatments may be crucial to improving survival after colon cancer treatments.

4.1. Strength

The main strength of our study is its novelty as no previous studies have demonstrated that not only a diagnosis of COPD but also COPD severity affects the survival of patients with colon cancer receiving standard treatments. This is the first and largest head-to-head PSM study to estimate the effects of pre-existing COPD and COPD severity on the survival outcomes of patients with colon adenocarcinoma who underwent surgical resection and standard treatments according to the NCCN guidelines. Another strength is that this study addresses the importance of modifying COPD progression from an oncological perspective; a relevant prospective study may never be permitted because of ethical concerns. Moreover, all prognostic factors identified in the literature for the OS of patients with colon cancer were evaluated in our study if the data were available in the TCRD. Before comparing all-cause mortality, we used PSM to minimize confounding effects. The covariates between the COPD and non-COPD groups were homogenous for patients with stage I–III colon cancer receiving standard treatments, and no selection bias was noted between the two groups (Table 1).

4.2. Limitations

The results of our study should be interpreted with caution because of the following limitations. First, selection bias and residual or unmeasured confounding (e.g., elective or urgent operation, adjuvant regimens of chemotherapy or radiotherapy, laparoscopic or open surgery, left- or right-sided colon cancer, and different hospital volume) are likely, as in all retrospective studies. Second, data that may be of importance in terms of mortality risk, such as dietary habits, socioeconomic status, or body mass index, are not collected in the TCRD. Third, ethnic differences in both COPD susceptibility and colon adenocarcinoma survival have been reported in relevant studies [60,61]. As such, our results and conclusions may not be extrapolated to non-Asian populations because only Asian patients with colon adenocarcinoma were enrolled in this study. Further large-scale studies comprising various ethnic groups may provide more information on whether different strategies are necessary to improve the survival of patients with colon cancer in each group. Fourth, not all data are recorded accurately in the TCRD. Although data recorded cannot be completely accurate, the TCR long-form data have a high degree of accuracy, probably because these databases periodically undergo field data audits based on medical chart reviews and patient interviews [62]. Despite these limitations, a major strength of this study is the use of a nationwide population-based registry with detailed baseline and treatment information. Lifelong follow-up was possible through the linkage of the registry with the national Cause of Death database. Considering the magnitude and statistical significance of the observed effects in the current study, the limitations are unlikely to affect our conclusions.

5. Conclusions

Our data demonstrated that the OS of patients with colon cancer undergoing surgical resection and receiving standard treatments was worse in those with COPD than in those without COPD. When hospitalization frequency for AECOPD within 1 year before surgical resection was considered, an independent frequency-dependent risk was observed in predicting the OS of patients with colon cancer receiving standard treatments. Our study may accentuate the importance of COPD management, particularly the identification of frequent exacerbations and AECOPD prevention before standard treatments in patients with colon adenocarcinoma.

Author Contributions

Conception and Design: Y.-C.C.; C.-M.L.; S.-Y.W. Financial Support: Lo-Hsu Medical Foundation, LotungPoh-Ai Hospital, supports S.-Y.W.’s work (Funding Number: 10908, 10909, 11001, 11002, 11003, 11006, and 11013). Collection and Assembly of Data: Y.-C.C.; M.-C.L.; Y.-H.Y.; C.-M.L. Data Analysis and Interpretation: Y.-C.C.; C.-M.L.; S.-Y.W. Administrative Support: S.-Y.W. Manuscript Writing: Y.-C.C.; C.-M.L.; S.-Y.W. Final Approval of Manuscript: All authors. All authors have read and agreed to the published version of the manuscript.

Funding

Lo-Hsu Medical Foundation, LotungPoh-Ai Hospital, supports Szu-Yuan Wu’s work (Funding Number: 10908, 10909, 11001, 11002, 11003, 11006).

Institutional Review Board Statement

The study protocols were reviewed and approved by the Institutional Review Board of Tzu-Chi Medical Foundation (IRB109-015-B).

Informed Consent Statement

Not applicable.

Data Availability Statement

Informed consent was waived because the data sets are covered under the Personal Information Protection Act. We used data from the National Health Insurance Research Database (NHIRD) and Taiwan Cancer Registry database (TCRD). The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. The data utilized in this study cannot be made available in the manuscript, the supplemental files, or in a public repository due to the “Personal Information Protection Act” executed by Taiwan’s government, starting from 2012. Requests for data can be sent as a formal proposal to obtain approval from the ethics review committee of the appropriate governmental department in Taiwan. Specifically, links regarding contact info for which data requests may be sent to the following web address (accessed date: 29 December 2020): http://nhird.nhri.org.tw/en/Data_Subsets.html#S3 and http://nhis.nhri.org.tw/point.html. Szu-Yuan Wu, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

COPD: chronic obstructive pulmonary disease; AECOPD, acute exacerbation of COPD; aHR, adjusted hazard ratio; CI, confidence interval; AJCC, American Joint Committee on Cancer; TCRD, Taiwan Cancer Registry Database; PSM, propensity score matching; OS, overall survival; CRP, C-reactive protein; IL, interleukin; CCI, Charlson comorbidity index; ESRD, end-stage renal disease; NCCN, National Comprehensive Cancer Network; FEV1, forced expiratory volume in 1 s.

References

  1. WHO. Global Health Estimates 2019: Deaths by Cause, Age, Sex, by Country and by Region 2000–2019; WHO: Geneva, Switzerland, 2020. [Google Scholar]
  2. WHO. Global Health Estimates 2019: Disease Burden by Cause, Age, Sex, by Country and by Region, 2000–2019; WHO: Geneva, Switzerland, 2020. [Google Scholar]
  3. De Torres, J.P.; Marin, J.M.; Casanova, C.; Cote, C.; Carrizo, S.; Cordoba-Lanus, E.; Baz-Davila, R.; Zulueta, J.J.; Aguirre-Jaime, A.; Saetta, M.; et al. Lung cancer in patients with chronic obstructive pulmonary disease—Incidence and predicting factors. Am. J. Respir. Crit. Care Med. 2011, 184, 913–919. [Google Scholar] [CrossRef] [PubMed]
  4. Turner, M.C.; Chen, Y.; Krewski, D.; Calle, E.E.; Thun, M.J. Chronic obstructive pulmonary disease is associated with lung cancer mortality in a prospective study of never smokers. Am. J. Respir. Crit. Care Med. 2007, 176, 285–290. [Google Scholar] [CrossRef] [PubMed]
  5. Park, H.Y.; Kang, D.; Shin, S.H.; Yoo, K.H.; Rhee, C.K.; Suh, G.Y.; Kim, H.; Shim, Y.M.; Guallar, E.; Cho, J.; et al. Chronic obstructive pulmonary disease and lung cancer incidence in never smokers: A cohort study. Thorax 2020, 75, 506–509. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Ahn, S.V.; Lee, E.; Park, B.; Jung, J.H.; Park, J.E.; Sheen, S.S.; Park, K.J.; Hwang, S.C.; Park, J.B.; Park, H.S.; et al. Cancer development in patients with COPD: A retrospective analysis of the National Health Insurance Service-National Sample Cohort in Korea. BMC Pulm. Med. 2020, 20, 170. [Google Scholar] [CrossRef]
  7. Ho, C.H.; Chen, Y.C.; Wang, J.J.; Liao, K.M. Incidence and relative risk for developing cancer among patients with COPD: A nationwide cohort study in Taiwan. BMJ Open 2017, 7, e013195. [Google Scholar] [CrossRef] [Green Version]
  8. Kennedy, G.D.; Rajamanickam, V.; O’Connor, E.S.; Loconte, N.K.; Foley, E.F.; Leverson, G.; Heise, C.P. Optimizing surgical care of colon cancer in the older adult population. Ann. Surg 2011, 253, 508–514. [Google Scholar] [CrossRef]
  9. Flynn, D.E.; Mao, D.; Yerkovich, S.T.; Franz, R.; Iswariah, H.; Hughes, A.; Shaw, I.M.; Tam, D.P.L.; Chandrasegaram, M.D. The impact of comorbidities on post-operative complications following colorectal cancer surgery. PLoS ONE 2020, 15, e0243995. [Google Scholar] [CrossRef]
  10. Lemmens, V.E.; Janssen-Heijnen, M.L.; Houterman, S.; Verheij, K.D.; Martijn, H.; van de Poll-Franse, L.; Coebergh, J.W. Which comorbid conditions predict complications after surgery for colorectal cancer? World J. Surg. 2007, 31, 192–199. [Google Scholar] [CrossRef] [PubMed]
  11. Gross, C.P.; McAvay, G.J.; Guo, Z.; Tinetti, M.E. The impact of chronic illnesses on the use and effectiveness of adjuvant chemotherapy for colon cancer. Cancer 2007, 109, 2410–2419. [Google Scholar] [CrossRef] [PubMed]
  12. Van der Sijp, M.P.; Bastiaannet, E.; Mesker, W.E.; van der Geest, L.G.; Breugom, A.J.; Steup, W.H.; Marinelli, A.W.; Tseng, L.N.; Tollenaar, R.A.; van de Velde, C.J.; et al. Differences between colon and rectal cancer in complications, short-term survival and recurrences. Int. J. Colorectal Dis. 2016, 31, 1683–1691. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Tamas, K.; Walenkamp, A.M.; de Vries, E.G.; van Vugt, M.A.; Beets-Tan, R.G.; van Etten, B.; de Groot, D.J.; Hospers, G.A. Rectal and colon cancer: Not just a different anatomic site. Cancer Treat. Rev. 2015, 41, 671–679. [Google Scholar] [CrossRef] [PubMed]
  14. Holm, M.; Joenvaara, S.; Saraswat, M.; Tohmola, T.; Ristimaki, A.; Renkonen, R.; Haglund, C. Plasma protein expression differs between colorectal cancer patients depending on primary tumor location. Cancer Med. 2020, 9, 5221–5234. [Google Scholar] [CrossRef] [PubMed]
  15. Amin, M.B.; American Joint Committee on Cancer; American Cancer Society. AJCC Cancer Staging Manual, 8th ed.; Amin, M.B., Edge, S., Greene, F., Byrd, D.R., Brookland, R.K., Washington, M.K., Gershenwald, J.E., Compton, C.C., Hess, K.R., Sullivan, D.C., et al., Eds.; Springer: Chicago, IL, USA, 2017; p. xvii, 1032. [Google Scholar]
  16. Kuan, F.C.; Lai, C.H.; Ku, H.Y.; Wu, C.F.; Hsieh, M.C.; Liu, T.W.; Yeh, C.Y.; Lee, K.D. The survival impact of delayed surgery and adjuvant chemotherapy on stage II/III rectal cancer with pathological complete response after neoadjuvant chemoradiation. Int. J. Cancer 2017, 140, 1662–1669. [Google Scholar] [CrossRef] [Green Version]
  17. Chang, C.L.; Yuan, K.S.; Wu, A.T.H.; Wu, S.Y. Adjuvant therapy for high-risk stage II or III colon adenocarcinoma: A propensity score-matched, nationwide, population-based cohort study. Cancers 2019, 11, 2003. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Charlson, M.; Szatrowski, T.P.; Peterson, J.; Gold, J. Validation of a combined comorbidity index. J. Clin. Epidemiol. 1994, 47, 1245–1251. [Google Scholar] [CrossRef]
  19. Sundararajan, V.; Henderson, T.; Perry, C.; Muggivan, A.; Quan, H.; Ghali, W.A. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J. Clin. Epidemiol. 2004, 57, 1288–1294. [Google Scholar] [CrossRef] [PubMed]
  20. Chen, J.H.; Yen, Y.C.; Yang, H.C.; Liu, S.H.; Yuan, S.P.; Wu, L.L.; Lee, F.P.; Lin, K.C.; Lai, M.T.; Wu, C.C.; et al. Curative-intent aggressive treatment improves survival in elderly patients with locally advanced head and neck squamous cell carcinoma and high comorbidity index. Medicine 2016, 95, e3268. [Google Scholar] [CrossRef]
  21. Austin, P.C. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm. Stat. 2011, 10, 150–161. [Google Scholar] [CrossRef] [Green Version]
  22. Austin, P.C. The use of propensity score methods with survival or time-to-event outcomes: Reporting measures of effect similar to those used in randomized experiments. Stat. Med. 2014, 33, 1242–1258. [Google Scholar] [CrossRef] [Green Version]
  23. Benson, A.B.; Venook, A.P.; Al-Hawary, M.M.; Arain, M.A.; Chen, Y.J.; Ciombor, K.K.; Cohen, S.; Cooper, H.S.; Deming, D.; Farkas, L.; et al. Colon cancer, version 2.2021, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Cancer Netw. 2021, 19, 329–359. [Google Scholar] [CrossRef]
  24. Van Gestel, Y.R.; Hoeks, S.E.; Sin, D.D.; Huzeir, V.; Stam, H.; Mertens, F.W.; van Domburg, R.T.; Bax, J.J.; Poldermans, D. COPD and cancer mortality: The influence of statins. Thorax 2009, 64, 963–967. [Google Scholar] [CrossRef] [Green Version]
  25. Wilson, R.J.T.; Yates, D.R.A.; Walkington, J.P.; Davies, S.J. Ventilatory inefficiency adversely affects outcomes and longer-term survival after planned colorectal cancer surgery. Br. J. Anaesth. 2019, 123, 238–245. [Google Scholar] [CrossRef] [PubMed]
  26. Walter, V.; Jansen, L.; Hoffmeister, M.; Ulrich, A.; Chang-Claude, J.; Brenner, H. Smoking and survival of colorectal cancer patients: Population-based study from Germany. Int. J. Cancer 2015, 137, 1433–1445. [Google Scholar] [CrossRef]
  27. Van Eeghen, E.E.; Bakker, S.D.; van Bochove, A.; Loffeld, R.J. Impact of age and comorbidity on survival in colorectal cancer. J. Gastrointest. Oncol. 2015, 6, 605–612. [Google Scholar] [CrossRef]
  28. Lee, C.H.; Tseng, P.L.; Tung, H.Y.; Cheng, S.C.; Ching, C.Y.; Chang, S.C.; Wu, S.F. Comparison of risk factors between colon cancer and rectum cancer in a single medical center hospital, Taiwan. Arch. Med. Sci. 2020, 16, 102–111. [Google Scholar] [CrossRef]
  29. Yuan, H.; Dong, Q.; Zheng, B.; Hu, X.; Xu, J.B.; Tu, S. Lymphovascular invasion is a high risk factor for stage I/II colorectal cancer: A systematic review and meta-analysis. Oncotarget 2017, 8, 46565–46579. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Zhong, J.W.; Yang, S.X.; Chen, R.P.; Zhou, Y.H.; Ye, M.S.; Miao, L.; Xue, Z.X.; Lu, G.R. Prognostic value of lymphovascular invasion in patients with stage III colorectal cancer: A retrospective study. Med. Sci. Monit. 2019, 25, 6043–6050. [Google Scholar] [CrossRef] [PubMed]
  31. Barnes, P.J.; Celli, B.R. Systemic manifestations and comorbidities of COPD. Eur. Respir. J. 2009, 33, 1165–1185. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Coussens, L.M.; Werb, Z. Inflammation and cancer. Nature 2002, 420, 860–867. [Google Scholar] [CrossRef] [PubMed]
  33. Todoric, J.; Antonucci, L.; Karin, M. Targeting inflammation in cancer prevention and therapy. Cancer Prev. Res. 2016, 9, 895–905. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Peek, R.M., Jr.; Mohla, S.; DuBois, R.N. Inflammation in the genesis and perpetuation of cancer: Summary and recommendations from a national cancer institute-sponsored meeting. Cancer Res. 2005, 65, 8583–8586. [Google Scholar] [CrossRef]
  35. Yanbaeva, D.G.; Dentener, M.A.; Spruit, M.A.; Houwing-Duistermaat, J.J.; Kotz, D.; Passos, V.L.; Wouters, E.F. IL6 and CRP haplotypes are associated with COPD risk and systemic inflammation: A case-control study. BMC Med. Genet. 2009, 10, 23. [Google Scholar] [CrossRef] [Green Version]
  36. Piehl-Aulin, K.; Jones, I.; Lindvall, B.; Magnuson, A.; Abdel-Halim, S.M. Increased serum inflammatory markers in the absence of clinical and skeletal muscle inflammation in patients with chronic obstructive pulmonary disease. Respiration 2009, 78, 191–196. [Google Scholar] [CrossRef]
  37. Eagan, T.M.; Ueland, T.; Wagner, P.D.; Hardie, J.A.; Mollnes, T.E.; Damas, J.K.; Aukrust, P.; Bakke, P.S. Systemic inflammatory markers in COPD: Results from the Bergen COPD Cohort Study. Eur. Respir. J. 2010, 35, 540–548. [Google Scholar] [CrossRef] [Green Version]
  38. Dahl, M.; Tybjaerg-Hansen, A.; Vestbo, J.; Lange, P.; Nordestgaard, B.G. Elevated plasma fibrinogen associated with reduced pulmonary function and increased risk of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2001, 164, 1008–1011. [Google Scholar] [CrossRef] [PubMed]
  39. Kersten, C.; Louhimo, J.; Algars, A.; Lahdesmaki, A.; Cvancerova, M.; Stenstedt, K.; Haglund, C.; Gunnarsson, U. Increased C-reactive protein implies a poorer stage-specific prognosis in colon cancer. Acta Oncol. 2013, 52, 1691–1698. [Google Scholar] [CrossRef]
  40. Holm, M.; Saraswat, M.; Joenvaara, S.; Ristimaki, A.; Haglund, C.; Renkonen, R. Colorectal cancer patients with different C-reactive protein levels and 5-year survival times can be differentiated with quantitative serum proteomics. PLoS ONE 2018, 13, e0195354. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Sun, Z.Q.; Han, X.N.; Wang, H.J.; Tang, Y.; Zhao, Z.L.; Qu, Y.L.; Xu, R.W.; Liu, Y.Y.; Yu, X.B. Prognostic significance of preoperative fibrinogen in patients with colon cancer. World J. Gastroenterol. 2014, 20, 8583–8591. [Google Scholar] [CrossRef] [PubMed]
  42. Waldner, M.J.; Foersch, S.; Neurath, M.F. Interleukin-6—A key regulator of colorectal cancer development. Int. J. Biol. Sci. 2012, 8, 1248–1253. [Google Scholar] [CrossRef]
  43. Najdaghi, S.; Razi, S.; Rezaei, N. An overview of the role of interleukin-8 in colorectal cancer. Cytokine 2020, 135, 155205. [Google Scholar] [CrossRef]
  44. Ning, Y.; Manegold, P.C.; Hong, Y.K.; Zhang, W.; Pohl, A.; Lurje, G.; Winder, T.; Yang, D.; LaBonte, M.J.; Wilson, P.M.; et al. Interleukin-8 is associated with proliferation, migration, angiogenesis and chemosensitivity in vitro and in vivo in colon cancer cell line models. Int. J. Cancer 2011, 128, 2038–2049. [Google Scholar] [CrossRef] [Green Version]
  45. Lurje, G.; Zhang, W.; Schultheis, A.M.; Yang, D.; Groshen, S.; Hendifar, A.E.; Husain, H.; Gordon, M.A.; Nagashima, F.; Chang, H.M.; et al. Polymorphisms in VEGF and IL-8 predict tumor recurrence in stage III colon cancer. Ann. Oncol. 2008, 19, 1734–1741. [Google Scholar] [CrossRef]
  46. Lee, Y.S.; Choi, I.; Ning, Y.; Kim, N.Y.; Khatchadourian, V.; Yang, D.; Chung, H.K.; Choi, D.; LaBonte, M.J.; Ladner, R.D.; et al. Interleukin-8 and its receptor CXCR2 in the tumour microenvironment promote colon cancer growth, progression and metastasis. Br. J. Cancer 2012, 106, 1833–1841. [Google Scholar] [CrossRef] [PubMed]
  47. Thomsen, M.; Ingebrigtsen, T.S.; Marott, J.L.; Dahl, M.; Lange, P.; Vestbo, J.; Nordestgaard, B.G. Inflammatory biomarkers and exacerbations in chronic obstructive pulmonary disease. JAMA 2013, 309, 2353–2361. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Wei, J.; Xiong, X.F.; Lin, Y.H.; Zheng, B.X.; Cheng, D.Y. Association between serum interleukin-6 concentrations and chronic obstructive pulmonary disease: A systematic review and meta-analysis. PeerJ 2015, 3, e1199. [Google Scholar] [CrossRef] [Green Version]
  49. Woodruff, P.G.; Chatila, W.; Connett, J.E.; Criner, G.J.; Curtis, J.L.; Dransfield, M.T.; Han, M.K.; Lazarus, S.C.; Marchetti, N.; Rogers, T.J.; et al. Tumour necrosis factor receptor-75 and risk of COPD exacerbation in the azithromycin trial. Eur. Respir. J. 2014, 43, 295–298. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Ji, J.; von Scheele, I.; Bergstrom, J.; Billing, B.; Dahlen, B.; Lantz, A.S.; Larsson, K.; Palmberg, L. Compartment differences of inflammatory activity in chronic obstructive pulmonary disease. Respir. Res. 2014, 15, 104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Li, M.; Wu, Y.; Zhang, J.; Huang, L.; Wu, X.; Yuan, Y. Prognostic value of pretreatment plasma fibrinogen in patients with colorectal cancer: A systematic review and meta-analysis. Medicine 2019, 98, e16974. [Google Scholar] [CrossRef]
  52. Aderka, D.; Englemann, H.; Hornik, V.; Skornick, Y.; Levo, Y.; Wallach, D.; Kushtai, G. Increased serum levels of soluble receptors for tumor necrosis factor in cancer patients. Cancer Res. 1991, 51, 5602–5607. [Google Scholar] [PubMed]
  53. Tsukamoto, S.; Ishikawa, T.; Iida, S.; Ishiguro, M.; Mogushi, K.; Mizushima, H.; Uetake, H.; Tanaka, H.; Sugihara, K. Clinical significance of osteoprotegerin expression in human colorectal cancer. Clin. Cancer Res. 2011, 17, 2444–2450. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. De Toni, E.N.; Nagel, D.; Philipp, A.B.; Herbst, A.; Thalhammer, I.; Mayerle, J.; Torok, H.P.; Brandl, L.; Kolligs, F.T. Correlation Between Baseline Osteoprotegerin Serum Levels and Prognosis of Advanced-Stage Colorectal Cancer Patients. Cell Physiol. Biochem. 2018, 45, 605–613. [Google Scholar] [CrossRef] [Green Version]
  55. Neder, J.A.; Berton, D.C.; Muller, P.T.; Elbehairy, A.F.; Rocha, A.; Palange, P.; O’Donnell, D.E.; Canadian Respiratory Research Network. Ventilatory inefficiency and exertional dyspnea in early chronic obstructive pulmonary disease. Ann. Am. Thorac. Soc. 2017, 14, S22–S29. [Google Scholar] [CrossRef] [PubMed]
  56. Phillips, D.B.; Collins, S.E.; Stickland, M.K. Measurement and interpretation of exercise ventilatory efficiency. Front. Physiol. 2020, 11, 659. [Google Scholar] [CrossRef] [PubMed]
  57. Donaldson, G.C.; Seemungal, T.A.; Bhowmik, A.; Wedzicha, J.A. Relationship between exacerbation frequency and lung function decline in chronic obstructive pulmonary disease. Thorax 2002, 57, 847–852. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  58. Seemungal, T.A.; Wedzicha, J.A. Exacerbation frequency and FEV1 decline of COPD: Is it geographic? Eur. Respir. J. 2014, 43, 1220–1222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Van de Schans, S.A.; Janssen-Heijnen, M.L.; Biesma, B.; Smeenk, F.W.; van de Poll-Franse, L.V.; Seynaeve, C.; Coebergh, J.W. COPD in cancer patients: Higher prevalence in the elderly, a different treatment strategy in case of primary tumours above the diaphragm, and a worse overall survival in the elderly patient. Eur. J. Cancer 2007, 43, 2194–2202. [Google Scholar] [CrossRef]
  60. Gilkes, A.; Hull, S.; Durbaba, S.; Schofield, P.; Ashworth, M.; Mathur, R.; White, P. Ethnic differences in smoking intensity and COPD risk: An observational study in primary care. NPJ Prim. Care Respir. Med. 2017, 27, 50. [Google Scholar] [CrossRef] [Green Version]
  61. Gomez, S.L.; O’Malley, C.D.; Stroup, A.; Shema, S.J.; Satariano, W.A. Longitudinal, population-based study of racial/ethnic differences in colorectal cancer survival: Impact of neighborhood socioeconomic status, treatment and comorbidity. BMC Cancer 2007, 7, 193. [Google Scholar] [CrossRef] [Green Version]
  62. Kao, C.W.; Chiang, C.J.; Lin, L.J.; Huang, C.W.; Lee, W.C.; Lee, M.Y.; Taiwan Society of Cancer Registry Expert Group; Senior Cancer Registrars. Accuracy of long-form data in the Taiwan cancer registry. J. Formos. Med. Assoc. 2021, 18, S0929-6646(21)00179-0. [Google Scholar] [CrossRef]
Figure 1. Kaplan–Meier overall survival curves of patients with colon adenocarcinoma with and without chronic obstructive pulmonary disease before surgical resection. COPD, chronic obstruction pulmonary disease; KM, Kaplan–Meier.
Figure 1. Kaplan–Meier overall survival curves of patients with colon adenocarcinoma with and without chronic obstructive pulmonary disease before surgical resection. COPD, chronic obstruction pulmonary disease; KM, Kaplan–Meier.
Cancers 13 04728 g001
Figure 2. Kaplan–Meier overall survival curves of patients with colon adenocarcinoma and their AECOPD hospitalization frequency within 1 year before surgical resection. COPD, chronic obstruction pulmonary disease; AECOPD, acute exacerbation of COPD; KM, Kaplan–Meier.
Figure 2. Kaplan–Meier overall survival curves of patients with colon adenocarcinoma and their AECOPD hospitalization frequency within 1 year before surgical resection. COPD, chronic obstruction pulmonary disease; AECOPD, acute exacerbation of COPD; KM, Kaplan–Meier.
Cancers 13 04728 g002
Table 1. Characteristics of patients with colon adenocarcinoma with or without chronic obstructive pulmonary disease before surgical resection after propensity score matching.
Table 1. Characteristics of patients with colon adenocarcinoma with or without chronic obstructive pulmonary disease before surgical resection after propensity score matching.
Non-COPD PatientsCOPD Patientsp Value
N = 1008, %N = 504, %
Age (mean ± SD)(72.66 ± 10.14)(72.26 ± 10.29)0.854
Age (years) 0.926
Age ≤ 5021221.03%10721.23%
50 < age ≤ 6034834.52%17434.52%
60 < age ≤ 7035935.62%17935.52%
Age > 70898.83%448.73%
Sex 0.924
Female35835.52%17735.12%
Male65064.48%32764.88%
Diabetes 0.985
No65865.28%32865.08%
Yes35034.72%17634.92%
Hyperlipidemia 0.752
No60459.92%30760.91%
Yes40440.08%19739.09%
Hypertension 0.951
No60560.02%30360.12%
Yes40339.98%20139.88%
ESRD 0.288
No97796.92%49498.02%
Yes313.08%101.98%
Cigarette Smoking 0.940
No30229.96%14829.37%
Yes70670.04%35670.63%
Coronary heart disease 0.234
No86385.62%41983.13%
Yes14514.38%8516.87%
Obesity 0.842
No89889.09%44888.89%
Yes11010.91%5611.11%
CCI score 0.779
061861.31%30560.52%
≥139038.69%19939.48%
Differentiation 0.135
I929.13%5911.71%
II62061.51%30259.92%
III29629.37%14328.37%
Urbanization 0.858
Rural29629.37%15129.96%
Urban71270.63%35370.04%
Perineural invasion 0.122
No37937.60%21141.87%
Yes62962.40%29358.13%
Chemotherapy 0.783
No76675.99%37975.20%
Yes24224.01%12524.80%
Lymphovascular invasion 0.941
No55555.06%27754.96%
Yes45344.94%22745.04%
AJCC pathologic stages 1.000
I28027.7814027.78
IIA11211.115611.11
IIB–IIC22422.2211222.22
IIIA13413.296713.29
IIIB–IIIC25825.6012925.60
All-cause death 0.039
No58257.74%26251.98%
Yes42642.26%24248.02%
Colon cancer death <0.001
No63563.00%27253.97
Yes37337.00%23246.03%
Follow up (death)
Years, median (IQR, Q1, Q3)
2.80 (0.86, 6.84)2.13 (0.73, 5.35)0.002
Follow up (death)
Years, (mean ± SD)
(4.33 ± 4.29)(3.36 ± 3.34)<0.001
Hospitalizations frequency for AECOPD (before colon cancer) <0.001
01008100.00%34768.85%
100.00%7214.29%
≥200.00%8516.87%
IQR, interquartile range; SD, standard deviation; AJCC, American Joint Committee on Cancer; CCI, Charlson comorbidity index; COPD, chronic obstruction pulmonary disease; AECOPD, acute exacerbation of COPD; ESRD, end stage renal disease.
Table 2. Cox proportional hazards models for all-cause mortality of patients with colon adenocarcinoma with or without chronic obstructive pulmonary disease before surgical resection after propensity-score matching.
Table 2. Cox proportional hazards models for all-cause mortality of patients with colon adenocarcinoma with or without chronic obstructive pulmonary disease before surgical resection after propensity-score matching.
VariablesCrude HR (95% CI)Adjusted HR* (95% CI)p Value
COPD status (ref. non-COPD)
COPD1.35(1.15, 1.58)1.17(1.03, 1.29)0.025
Hospitalization frequency for AECOPD before surgical resection (ref. = 0)
11.60(1.15, 2.21)1.08(1.03, 1.51)0.031
22.36(1.81, 3.08)1.55(1.15, 2.09)0.004
Sex (ref. female)
Male0.90(0.77, 1.06)0.89(0.75, 1.05)0.152
Age (ref. 50 years)
50 years < age 60 years1.21(0.93, 1.56)1.05(0.80, 1.37)0.714
60 years < age 70 years2.38(1.88, 3.02)2.07(1.61, 2.67)<0.001
Age > 70 years3.99(2.98, 5.34)3.29(2.41, 4.50)<0.001
CCI score (ref. = 0)
11.58(1.36, 1.84)1.46(1.23, 1.72)<0.001
Diabetes (ref.: No)
Yes1.30(0.91, 1.53)1.14(0.84, 1.48)0.315
Hyperlipidemia (ref.: No)
Yes0.96(0.81, 1.13)0.91(0.76, 1.09)0.317
Hypertension (ref.: No)
Yes0.96(0.81, 1.14)0.94(0.79, 1.13)0.537
ESRD (ref.: No)
Yes1.42(1.05, 1.92)0.93(0.67, 1.27)0.642
Coronary heart disease (ref.: No)
Yes1.47(1.2, 1.8)1.11(0.84, 1.45)0.463
Cigarette smoking (ref.: No)
Yes1.68(1.36, 2.06)1.27(0.96, 1.68)0.007
Differentiation (ref. grade I)
II2.14(1.33, 3.43)1.50(1.11, 1.49)0.014
III2.79(1.76, 4.42)1.92(1.18, 2.31)0.008
Urbanization (ref. urban)
Rural0.94(0.80, 1.11)0.92(0.76, 1.10)0.348
Obesity (ref.: No)
Yes0.93(0.45, 1.42)0.95(0.47, 1.45)0.752
Chemotherapy (ref.: No)
Yes1.17(0.84, 1.64)1.15(0.92, 1.25)0.479
Perineural invasion (ref.: No)
Yes1.72(1.25, 2.36)1.48(1.06, 2.07)0.020
Lymphovascular invasion (ref.: No)
Yes1.30(1.11, 1.53)1.24(1.04, 1.48)0.015
AJCC pathologic stage (ref.: stage I)
IIA1.14(1.03, 1.43)1.04(0.93, 1.36)0.092
IIB–IIC1.19(1.06, 1.42)1.15(1.10, 1.36)0.007
IIIA2.14(1.33, 2.73)1.54(1.31, 2.56)0.002
IIIB–IIIC2.72(1.25, 2.96)2.10(1.38, 2.80)0.006
HR, hazard ratio; CI, confidence interval; AJCC, American Joint Committee on Cancer; CCI, Charlson comorbidity index; COPD, chronic obstruction pulmonary disease; AECOPD, acute exacerbation of COPD; ref., reference group; ESRD, end-stage renal disease * All covariates mentioned in Table 2 were adjusted.
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Chen, Y.-C.; Li, M.-C.; Yu, Y.-H.; Lin, C.-M.; Wu, S.-Y. Chronic Obstructive Pulmonary Disease and Its Acute Exacerbation before Colon Adenocarcinoma Treatment Are Associated with Higher Mortality: A Propensity Score-Matched, Nationwide, Population-Based Cohort Study. Cancers 2021, 13, 4728. https://doi.org/10.3390/cancers13184728

AMA Style

Chen Y-C, Li M-C, Yu Y-H, Lin C-M, Wu S-Y. Chronic Obstructive Pulmonary Disease and Its Acute Exacerbation before Colon Adenocarcinoma Treatment Are Associated with Higher Mortality: A Propensity Score-Matched, Nationwide, Population-Based Cohort Study. Cancers. 2021; 13(18):4728. https://doi.org/10.3390/cancers13184728

Chicago/Turabian Style

Chen, Yen-Chang, Ming-Chang Li, Ying-Hui Yu, Chih-Ming Lin, and Szu-Yuan Wu. 2021. "Chronic Obstructive Pulmonary Disease and Its Acute Exacerbation before Colon Adenocarcinoma Treatment Are Associated with Higher Mortality: A Propensity Score-Matched, Nationwide, Population-Based Cohort Study" Cancers 13, no. 18: 4728. https://doi.org/10.3390/cancers13184728

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