Literature DB >> 36185282

Cardiovascular disease related death among patients with esophagus cancer: A population-based competing risk analysis.

Yang Xia1, Min Lin1, Jin Huang1, Li Fan1.   

Abstract

The proportion of non-cancer death in patients with esophagus cancer (EC) still increasing, especially cardiovascular disease (CVD) related death. The aim of this study was assess non-cancer causes of death and identified independent risk factors of CVD related death in EC patients. Patients diagnosed with EC were extracted from the Surveillance, Epidemiology, and End Result database (SEER) database for analysis. Standardized mortality rates (SMRs) for non-EC deaths were calculated, the risk of death were assessed and compared with US general population. Multivariate competitive risk analysis were performed to select independent risk factors for death from CVD in EC patients. A total of 43739 EC patients were enrolled and 35139 died during follow-up, of which 4248 died from non-cancer cause of death. The risk of non-cancer death in EC patients was 2.27-fold higher than in the general population (SMR=2.27; 95% CI, 2.20-2.34). CVD were the most important cause of non-cancer death in EC patients, accounting for 43.4% of non-cancer of deaths. Compare with the general population, EC patients have higher risk of death from disease of heart (SMR, 2.24; 95% CI, 2.13-2.35), pneumonia and influenza (SMR, 2.92; 95% CI, 2.50-3.39), septicemia (SMR, 5.01; 95% CI, 4.30-5.79), along with other causes. Patients with advanced age and patients who received radiotherapy has higher risk of death caused by CVD, patients with female sex, poor differentiated and undifferentiated, regional and distant stage, married, diagnosed between 2010-2016 has lower risk of CVD related death, compared with patients without any treatment measures, patients received chemotherapy alone has lower risk of death from CVD. Non-cancer cause of death has become an important cause of death in EC patients. Improving public awareness of the major risk factors for non-cancer death is beneficial to the prevention and treatment of malignant tumors.
Copyright © 2022 Xia, Lin, Huang and Fan.

Entities:  

Keywords:  and end result; cardiovascular disease; cause of death; epidemiology; esophagus cancer; standardized mortality rates; surveillance

Year:  2022        PMID: 36185282      PMCID: PMC9522624          DOI: 10.3389/fonc.2022.976711

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   5.738


Introduction

Esophagus cancer (EC) is seventh common cancers and the sixth leading cause of cancer death worldwide, with 604100 new cases and 544076 deaths in 2020, respectively (1). With recent advances in cancer prevention, diagnosis and treatment measures, the number of cancer survivors continues to rise, these patients are not only at risk for recurrence, but may also have a variety of disease states, result the risk of non-cancer death becoming a huge threat to the health of cancer survivors (2, 3). Due to the improvement of treatments and the popularity of endoscopic screening of the upper gastrointestinal tract has led to more EC patients being diagnosed at an earlier stage, the 5-years overall survival rates of EC patients has improved in recent years (4–9). This part of EC patients may live long enough after the initial diagnosis, resulting in non-cancer-related comorbidities that may have a dramatic impact on overall survival. Recent years, the proportion of non-cancer death in EC patients were increasing, especially cardiovascular disease (CVD) related death (2, 10). Therefore, understanding the proportion and risk factor of different causes of death after EC diagnosis can be helpful in EC patient’s follow up and management. This study was designed to comprehensively assess non-cancer causes of death and identified independent predictors of CVD related death in EC patients, to provide a constructive basis for follow-up management of EC patients and optimize their quality of life.

Materials and methods

Data source and study population

This retrospective cohort study used data from the Surveillance, Epidemiology, and End Results (SEER) database, it’s a population-based cancer registry sponsored by the National Cancer Institute which includes morbidity, survival, and mortality data and covering approximately 27.8% of the total US population. Because of its population-based program design, data selected in SEER program can be used for comparison with the general population, and therefore can be used to estimate cancer incidence, mortality, and survival (11). We used SEER*stat software to extract primary EC patients diagnosed between 2000-2016, patients diagnosed only at autopsy or on death certificates were not included. Public information provided by the SEER program does not require ethical approval.

Variable

EC Patients (Site recode International Classification of Diseases for Oncology-3 (ICD-O-3)/WHO 2008: Esophagus) with malignant behavior between 2000-2016 were extracted from SEER database. The exclusion criteria were as follow (1): Multiple primary tumor; (2) Unknown cause of death; the specific process is shown in . Patient’s detailed information were extracted including age at diagnosis, sex, race, diagnosis year, insurance status, marital status, grade, primary site, SEER summary stage, surgery, radiotherapy and chemotherapy. Well-differentiated and moderately differentiated tumors were defined as grade I + II, poorly differentiated and undifferentiated tumors were defined as grade III + IV.
Figure 1

Inclusion and exclusion flowchart.

Inclusion and exclusion flowchart.

Classification of cause of death

In the SEER database, the cause of death classification is coded according to the International Classification of Diseases, Version 9 (ICD-9) and ICD-10 used by the registry, information about cause of death categories in the general population originate in the Wide-ranging Online Data for Epidemiologic Research tool from the Centers for Disease Control and Prevention and which can available through the SEER*stat software (12). SEER database through systematic and standard data collection procedure to ensure the accuracy of cause of death determinations, thereby mitigating the possible impacts of potential biases on study findings (13). All cause of death was referring to the total number of deaths during the follow-up period, non-cancer death included seven categories: cardiovascular disease, infectious disease, respiratory disease, kidney disease, gastrointestinal disease, external injury, and other causes of death. CVD included disease of heart, hypertension without heart disease, cerebrovascular diseases, aortic aneurysm and dissection, atherosclerosis and other diseases of arteries, arterioles, capillaries (14).

Outcome

We examined non-cancer causes of death in EC patients, mortality events were classified according to the time interval from diagnosis to death, these intervals contained: <1 year, 1-5 years, 5-10 years and >10 years. The relative risk of non-cancer death among EC patients was compared with that of US general population and expressed as standardized mortality rates (SMRs), which was defined as the radio of observed number divide expected number, ”Observed” was defined as the actual death number of a specific cause in a specific interval, and “Expected” was defined as the expected number of deaths from the same cause in a demographically similar population (regarding sex, race, and age) within the same interval (15).

Statistic analysis

SMR and 95% confidence intervals (95%CI) were calculated in different interval after diagnosis (<1 year, 1-5 years, 5-10 years and >10 years), we used the Poisson exact method to compute the 95% CI for SMR. The hazard ratios (HRs) and 95% CI were used to estimate the associations between patient characteristics and CVD related death in EC patients through multivariate competing risk analysis. Death from CVD were defined as events of primary concern, while competitive events were defined as deaths from other causes. All tests were double-sided, P < 0.05 were considered statistically significant. Data analysis was performed by SEER*stat (version 8.4.0) and R software (version 4.0.0).

Results

Baseline characteristics

After above exclusion criteria, 43739 EC patients were extracted from the SEER database for further analysis. Most patients died within 5 years after diagnosis (94.6%). The majority of patients were male (78.7%), white patients accounted for 83.7% of the total. Most included patients were poor differentiation and undifferentiation (41.8%), married (55.3%), insured (48.5%), 50-70 years old (56.7%) and were located in the lower third of the esophagus (60.6%). Most esophageal malignancies were found in regional stage (33.6%) and distant stage (34.2%), while only a minority of patients were diagnosed in the localized stage (21.5%). The rate of surgery, radiotherapy and chemotherapy in our cohort were 28%, 59.4% and 64.5%, respectively. Some patients received multiple treatment measures, as shown in for specific information.
Table 1

Baseline characteristics of EC patients.

CharacteristicAll diagnosis cases (n)
All patients with EC43739
Age<503530
50-7024799
>7015410
RaceWhite36608
Black4924
Other2207
SexFemale9309
Male34430
GradeI+II16452
III+IV18270
Unknown9017
StageLocalized9424
Regional14699
Distant14965
Unknown4651
PrimarysiteUpper esophagus2868
Mid- esophagus8223
Lower esophagus26504
Overlap1847
Unknown4297
Diagnosisyear2000-200925257
2010-201618482
MaritalstatusMarried24204
Single17351
Unknown2184
InsuredstatusInsured21208
Medicaid3443
Uninsured856
Unknown18232
SurgeryNo+Unknown31492
Yes12247
RadiotherapyNo+Unknown17753
Yes25986
ChemotherapyNo+Unknown15539
Yes28200
TreatmentmeasuresNo+Unknown7407
Surgery only4332
Radiotherapy only3494
Chemotherapy only5179
Surgery+ Radiotherapy306
Surgery+ Chemotherapy835
Radiotherapy+ Chemotherapy15412
Surgery+ Radiotherapy+Chemotherapy6774
Baseline characteristics of EC patients.

Non-cancer causes of death

A total of 35,193 patients died during follow-up, of which 4248 (12.1%) died from non-cancer causes, including CVD (1843, 43.4%), other cause of death (1109, 26.1%), infectious diseases (451, 10.6%), respiratory diseases (439, 10.3%), external injuries (228, 5.4%), renal diseases (91, 2.1%) and gastrointestinal diseases (87, 2.0%). Throughout the follow-up period, patients had a higher risk of death from disease of heart (SMR, 2.24; 95% CI, 2.13-2.35), cerebrovascular diseases (SMR, 1.56; 95% CI, 1.35-1.78), pneumonia and influenza (SMR, 2.92; 95% CI, 2.50-3.39), septicemia (SMR, 5.01; 95% CI, 4.30-5.79), COPD (SMR, 2.75; 95% CI, 2.50-3.02), suicide and self-inflicted injury (SMR, 4.08; 95% CI, 3.24-5.06) and nephritis, nephrotic syndrome and nephrosis (SMR, 1.79; 95% CI, 1.44-2.20) compared with US general population, along with other cause ( ).
Table 2

Standardized-mortality ratios for each cause of death following esophagus cancer diagnosis.

Cause of death< 1 year1-5 years5-10 years> 10 yearsTotal
ObservedSMR(95%CI)ObservedSMR(95%CI)ObservedSMR(95%CI)ObservedSMR(95%CI)ObservedSMR(95%CI)
ALL cause of death 2033529.20(28.80-29.61)1296211.67(11.47-11.87)14812.85(2.70-2.99)3952.10(1.89-2.31)3519313.99(13.84-14.13)
Non-cancer of death 17693.42(3.27-3.59)15991.95(1.86-2.05)6451.65(1.53-1.79)2351.62(1.42-1.84)42482.27(2.20-2.34)
Cardiovascular diseases 7563.04(2.83-3.27)6891.79(1.66-1.93)2861.62(1.43-1.81)1121.75(1.44-2.10)18432.11(2.01-2.20)
Diseases of heart6213.22(2.97-3.48)5731.91(1.75-2.07)2371.72(1.51-1.96)931.87(1.51-2.29)15242.24(2.13-2.35)
Hypertension without heart disease192.76(1.66-4.31)171.53(0.89-2.45)61.05(0.39-2.29)31.35(0.28-3.95)451.74(1.27-2.32)
Aortic aneurysm and dissection92.19(1.00-4.16)121.93(1.00-3.37)10.39(0.01-2.19)11.24(0.03-6.93)231.68(1.07-2.52)
Atherosclerosis124.67(2.41-8.16)71.88(0.76-3.88)10.64(0.02-3.58)0NA202.39(1.46-3.69)
Cerebrovascular diseases892.28(1.83-2.81)711.18(0.92-1.49)391.41(1.00-1.92)141.37(0.75-2.29)2131.56(1.35-1.78)
Other diseases of arteries, arterioles, capillaries62.18(0.80-4.75)92.09(0.96-3.97)21.00(0.12-3.61)11.38(0.04-7.70)181.84(1.09-2.91)
Infectious diseases 2166.53(5.68-7.46)1532.95(2.50-3.45)602.48(1.89-3.19)222.54(1.59-3.85)4513.83(3.48-4.20)
Pneumonia and influenza794.75(3.76-5.92)542.10(1.58-2.47)282.32(1.54-3.35)112.49(1.24-4.46)1722.92(2.50-3.39)
Syphilis0NA0NA0NA0NA0NA
Tuberculosis0NA0NA18.50(0.22-47.35)0NA11.59(0.04-8.86)
Septicemia818.11(6.44-10.08)704.37(3.47-5.52)212.76(1.71-4.22)103.63(1.74-6.68)1825.01(4.30-5.79)
Other infectious diseases568.93(6.74-11.59)292.94(1.97-4.23)102.28(1.09-4.20)10.69(0.02-3.87)964.37(3.54-5.34)
Respiratory diseases 1593.69(3.14-4.31)1772.50(2.15-2.90)742.19(1.72-2.75)292.38(1.59-3.41)4392.75(2.50-3.02)
Chronic obstructive pulmonary disease and allied Cond1593.69(3.14-4.31)1772.50(2.15-2.90)742.19(1.72-2.75)292.38(1.59-3.41)4392.75(2.50-3.02)
Gastrointestinal diseases 475.23(3.84-6.96)251.75(1.13-2.58)122.02(1.04-3.52)31.60(0.33-4.676)872.80(2.24-3.45)
Stomach and duodenal ulcers22.02(0.24-7.29)32.00(0.41-5.85)0NA0NA51.49(0.48-3.48)
Chronic liver disease and cirrhosis455.63(4.11-7.54)221.72(1.08-2.61)122.26(1.17-3.95)31.81(0.37-5.29)822.96(2.35-3.67)
Renal diseases 443.18(2.31-4.27)271.21(0.80-1.77)141.29(0.71-2.17)61.51(0.55-3.28)911.79(1.44-2.20)
Nephritis, nephrotic syndrome and nephrosis443.18(2.31-4.27)271.21(0.80-1.77)141.29(0.71-2.17)61.51(0.55-3.28)911.79(1.44-2.20)
External injuries 933.50(2.82-4.29)902.13(1.71-2.61)341.79(1.24-2.50)111.65(0.82-2.95)2282.41(2.11-2.75)
Accidents and adverse effects*432.17(1.57-2.92)591.86(1.42-2.40)291.98(1.32-2.84)101.88(0.90-3.45)1411.97(1.66-2.32)
Suicide and self-inflicted injury508.64(6.41-11.39)262.81(1.84-4.12)51.30(0.42-3.03)10.82(0.02-4.59)824.08(3.24-5.06)
Homicide and legal intervention0NA53.73(1.21-8.70)0NA0NA51.72(0.56-4.02)
Other cause of death 4543.19(2.90-3.49)4381.88(1.71-2.06)1651.38(1.18-1.61)521.10(0.82-1.44)11092.05(1.93-2.17)
Alzheimers (ICD-9 and 10 only)100.52(0.25-0.95)240.75(0.48-1.12)211.18(0.73-1.81)81.01(0.44-2.00)630.82(0.63-1.05)
Diabetes mellitus391.79(1.27-2.44)411.18(0.85-1.60)110.70(0.35-1.24)40.74(0.20-1.88)951.22(0.99-1.49)
Congenital anomalies11.60(0.04-8.91)11.03(0.03-5.72)12.49(0.06-13.85)0NA31.41(0.29-4.11)
Certain conditions originating in perinatal period0NA1233.36(5.91-1300.22)0NA0NA1108.39(2.74-603.92)
Complications of pregnancy, childbirth, puerperium2536.54(64.98-1938.17)0NA0NA0NA2180.75(21.89-652.95)
Symptoms, signs and ill-defifined conditions507.10(5.27-9.36)343.01(2.08-4.20)40.69(0.19-1.77)41.86(0.51-4.77)923.50(2.82-4.30)
Other3523.76(3.38-4.17)3372.19(1.96-2.43)1281.60(1.34-1.91)361.14(0.80-1.58)8532.37(2.22-2.54)

*Transport accidents, other external causes of accidental injury and sequelae of transport accidents or other accidents. NA, not applicable.

Standardized-mortality ratios for each cause of death following esophagus cancer diagnosis. *Transport accidents, other external causes of accidental injury and sequelae of transport accidents or other accidents. NA, not applicable.

Non-cancer causes of death within 1 year following diagnosis

A total of 20335 patients died within 1 year after diagnosis, of which 1769 (8.7%) died because of non-cancer causes. The most common causes of death were CVD (756; 42.7%), followed by other cause of death (454; 25.7%) and infectious diseases (216; 12.2%). Compared with US general populations, EC patients has the higher risk of death from disease of heart (SMR, 3.22; 95% CI, 2.97-3.48), cerebrovascular diseases (SMR, 2.28; 95% CI, 1.83-2.81), pneumonia and influenza (SMR, 4.75; 95% CI, 3.76-5.92), septicemia (SMR, 8.11; 95% CI, 6.44-10.08), COPD (SMR, 3.69; 95% CI, 3.14-4.31), suicide and self-inflicted injury (SMR, 8.64; 95% CI, 6.41-11.39) and diabetes mellitus (SMR, 1.79; 95% CI, 1.27-2.44), along with other cause. In addition, EC patients have a significantly decreased risk of Alzheimer’s disease compare with general populations within 1 year (SMR, 0.52; 95% CI, 0.25–0.95) ( ).

Non-cancer causes of death within 1-5 years following diagnosis

A total of 12962 patients died within 1-5 years of diagnosis, of which 1599 (12.3%) died because of non-cancer causes. The most common causes of death were CVD (689; 43.1%), followed by other cause of death (438; 27.4%) and respiratory diseases (177; 11.1%). Compared with the general population, EC patients had higher risk of death from disease of heart (SMR, 1.91; 95% CI, 1.75-2.07), pneumonia and influenza (SMR, 2.10; 95% CI, 1.58-2.47), septicemia (SMR, 4.37; 95% CI, 3.47-5.52), COPD (SMR, 2.50; 95% CI, 2.15-2.90), chronic liver disease and cirrhosis (SMR, 1.72; 95% CI, 1.08-2.61), suicide and self-inflicted injury (SMR, 2.81; 95% CI, 1.84-4.12), along with other cause. Patients’ risk of dying from Alzheimer’s disease was still reduced, but not statistically (SMR,0.75; 95% CI, 0.48-1.12) ( ).

Non-cancer causes of death within 5-10 years following diagnosis

A total of 1481 patients died within 5-10 years of diagnosis, of which 645 (43.6%) died because of non-cancer causes. The most common cause of death were CVD (286; 44.3%), followed by other cause of death (165; 25.6%) and COPD (74; 11.5%). Within 5-10 years of diagnosis, patients had a higher risk of death from disease of heart (SMR, 1.72; 95% CI, 1.51-1.96), pneumonia and influenza (SMR, 2.32; 95% CI, 1.54-3.35), septicemia (SMR, 2.76; 95% CI, 1.71-4.22), COPD (SMR, 2.19; 95% CI, 1.72-2.75), chronic liver disease and cirrhosis (SMR, 2.26; 95% CI, 1.17-3.95) and accidents and adverse effects (SMR, 1.98; 95% CI, 1.32-2.84) compared with US general population, along with other causes of death ( ).

Non-cancer causes of death after more than 10 years following diagnosis

A total of 395 patients died 10 years after diagnosis, including 235 deaths from non-cancer causes (59.5%) accounted for more than half. The most common causes of death were CVD (112; 47.7%), followed by other cause of death (52; 22.1%) and respiratory diseases (29; 12.3%). After more than 10 years of diagnosis, EC patients showed a higher risk of death from disease of heart (SMR, 1.87; 95% CI, 1.51–2.29), pneumonia and influenza (SMR, 2.49; 95% CI, 1.24–4.46), septicemia (SMR, 3.63; 95% CI, 1.74–6.68), COPD (SMR, 2.38; 95% CI, 1.59-3.41) compared with US general population, along with other causes of death ( ).

Risk factor of CVD related death

Given that CVD accounts for a large proportion of non-cancer deaths, we used a multivariate competitive risk analysis to identify predictors associated with CVD related death in EC patients, the results indicated that these following characteristics were independently associated with a higher risk of CVD: 50-70 years old (HR: 2.324; 95% CI: 1.731-3.120), > 70 years old (HR: 4.886; 95% CI: 3.636-6.565), patients who received radiotherapy (HR: 1.180; 95% CI: 1.052-1.324). On the other hand, we found that the following characteristics were independently associated with a lower risk of CVD: female sex (HR: 0.848; 95% CI: 0.755-0.953), poorly differentiated and undifferentiated (HR: 0.843; 95% CI: 0.757-0.938), regional (HR: 0.625; 95% CI: 0.558-0.701) or distant stage (HR: 0.315; 95% CI: 0.271-0.366), married state (HR: 0.883; 95% CI: 0.797-0.978) and diagnosed between 2010-2016 (HR: 0.697; 95% CI: 0.611-0.794) ( ).
Table 3

Multivariate competing risk analysis for predictors of CVD related death in EC patients.

CharacteristicsHR95% CIP
Age<50Ref
50-702.3241.731-3.120< 0.001
>704.8863.636-6.565< 0.001
RaceWhiteRef
Black1.1110.959-1.2870.160
Other0.6850.529-0.8880.004
SexMaleRef
Female0.8480.755-0.9530.006
GradeI+IIRef
III+IV0.8430.757-0.9380.002
Unknown1.1351.008-1.2780.037
StageLocalizedRef
Regional0.6250.558-0.701< 0.001
Distant0.3150.271-0.366< 0.001
Unknown0.7790.672-0.904< 0.001
PrimarysiteUpper esophagusRef
Mid- esophagus1.0550.861-1.2920.600
Lower esophagus1.0930.903-1.3220.360
Overlap1.0910.813-1.4640.560
Unknown0.9740.771-1.2300.820
Diagnosisyear2000-2009Ref
2010-20160.6970.611-0.794< 0.001
MaritalstatusSingleRef
Married0.8830.797-0.9780.018
Unknown1.0340.843-1.2680.750
InsuredstatusUninsuredRef
Medicaid1.0520.660-1.6770.830
Insured0.8230.531-1.2750.380
Unknown1.0130.651-1.5770.950
SurgeryNo+UnknownRef
Yes1.0540.939-1.1840.370
RadiationNo+UnknownRef
Yes1.1801.052-1.3240.005
ChemotherapyNo+UnknownRef
Yes0.9460.843-1.0610.340
Multivariate competing risk analysis for predictors of CVD related death in EC patients.

Effects of radiotherapy on CVD related death with different characteristics

Multivariate competitive risk analysis suggested that radiotherapy was an independent risk factor for CVD related death in EC patients. Therefore, we further analyzed the effects of radiotherapy with different characteristics. we found that the following patients receive radiotherapy has higher risks of CVD related death: 50-70 years old (HR: 1.210; 95% CI: 1.013-1.446), >70 years old (HR: 1.229; 95% CI: 1.054-1.433), white patients (HR: 1.196; 95% CI: 1.053-1.358), male patients (HR: 1.174; 95% CI: 1.030-1.338), regional stage (HR: 1.280; 95% CI: 1.023-1.601), unmarried patients (HR: 1.210; 95% CI: 1.012-1.446), located at the middle third (HR: 1.297; 95% CI: 1.004-1.676) and lower third (HR: 1.234; 95% CI: 1.060-1.437) of the esophagus, specific information see in .
Table 4

Effects of radiotherapy on CVD related death in EC patients with different characteristics.

CharacteristicsHR95% CIP
Age< 500.6600.301-1.4480.300
50-701.2101.013-1.4460.035
> 701.2291.054-1.4330.009
RaceWhite1.1961.053-1.3580.006
Black1.1100.810-1.5190.520
SexMale1.1741.030-1.3380.016
Female1.1930.936-1.5200.150
StageLocalized1.1610.930-1.4480.190
Regional1.2801.023-1.6010.031
Distant1.0910.855-1.3930.480
GradeI+II1.1800.979-1.4220.082
III+IV1.2130.999-1.4730.051
MaritalstatusMarried1.1420.974-1.3380.100
Single1.2101.012-1.4460.036
PrimarysiteUpper esophagus0.9900.598-1.640.970
Mid- esophagus1.2971.004-1.6760.046
Lower esophagus1.2341.060-1.4370.007
Effects of radiotherapy on CVD related death in EC patients with different characteristics.

Effects of comprehensive treatment measures on CVD related death in EC patients

Because some patients in our cohort received combination therapies, we further divided patient treatment measures to determine the effects of different treatments on CVD related death in EC patients through multivariate competitive risk analysis, the results indicated that these following characteristics were independently associated with a higher risk of CVD: 50-70 years old (HR: 2.307; 95% CI: 1.719-3.097), > 70 years old (HR: 4.949; 95% CI: 3.608-6.516). On the other hand, we found that the following characteristics were independently associated with a lower risk of CVD: female sex (HR: 0.848; 95% CI: 0.755-0.953), poorly differentiated and undifferentiated (HR: 0.848; 95% CI: 0.762-0.944), regional (HR: 0.635; 95% CI: 0.565-0.713) or distant stage (HR: 0.333; 95% CI: 0.286-0.388), married (HR: 0.883; 95% CI: 0.797-0.979), diagnosed between 2010-2016 (HR: 0.696; 95% CI: 0.610-0.793) and patients received chemotherapy alone compared with patients without any treatment measures (HR: 0.702; 95% CI: 0.551-0.895) ( ).
Table 5

Effects of comprehensive treatment measures on CVD related death in EC patients.

CharacteristicsHR95% CIP
Age< 50Ref
50-702.3071.719-3.097< 0.001
> 704.9493.608-6.516< 0.001
RaceWhiteRef
Black1.1150.963-1.2920.150
Other0.6860.529-0.8900.005
SexMaleRef
Female0.8480.755-0.9530.006
GradeI+IIRef
III+IV0.8480.762-0.9440.003
Unknown1.1341.007-1.2760.038
StageLocalizedRef
Regional0.6350.565-0.713< 0.001
Distant0.3330.286-0.388< 0.001
Unknown0.7880.677-0.9180.002
PrimarysiteUpper esophagusRef
Mid- esophagus1.0600.865-1.2980.580
Lower esophagus1.1020.910-1.3340.320
Overlap1.0990.819-1.4740.530
Unknown0.9800.775-1.2380.860
Diagnosisyear2000-2010Ref
2010-20160.6960.610-0.793< 0.001
MaritalstatusSingleRef
Married0.8830.797-0.9790.018
Unknown1.0300.840-1.2640.770
InsuredstatusUninsuredRef
Medicaid1.0460.656-1.6660.850
Insured0.8220.530-1.2730.380
Unknown1.0060.646-1.5660.980
TreatmentmeasuresNo+UnknownRef
Surgery only1.0750.905-1.2760.410
Radiotherapy only0.9550.788-1.1560.630
Chemotherapy only0.7020.551-0.8950.004
Surgery+ Radiotherapy1.3000.809-2.0870.280
Surgery+ Chemotherapy0.8090.532-1.2310.320
Radiotherapy+ Chemotherapy1.1330.988-1.3000.074
Surgery+ Radiotherapy+Chemotherapy1.0840.899-1.3060.400
Effects of comprehensive treatment measures on CVD related death in EC patients.

Discussion

Analysis of the mortality rate and the main causes of death of malignant tumors are helpful to master the disease characteristics of malignant tumors, and is of great significance to the control and management of tumors. According to a study about the causes of death among cancer patients in China, EC is the fourth leading cause of in-hospital deaths among cancer patients (16). With the spread of neoadjuvant therapy, the current median survival time for EC patients has improved significantly (4). With the increasing number of long-term EC survivors, non-cancer causes have become one of the main causes of death in EC patients, especially CVD related death, which are currently the second leading cause of death, after cancer itself (10), and the trend is still rising. As the diversification of combination therapies leads to long-term survival in more cancer patients, it is increasingly important to identify non-cancer deaths due to comorbidities or side effects due to treatment toxicity. Recent years, several studies have suggested that cancer patients have a higher risk of CVD related death compared with general population (12, 14). Wang’s study showed that the cardiovascular mortality rates of 1, 3 and 5 years in cancer patients were 6.0%, 10.8% and 17.9%, respectively, and the total cardiovascular mortality rates were 25.8% (17). According to previous report, cancer patients have a higher risk of thromboembolism compare with general population, especially in lung and pancreatic cancer (18). In our research, EC patients have a higher risk of death from CVD than the general population during the whole follow-up periods (SMR, 2.11; 95% CI, 2.01–2.20), the highest risk of death from CVD occurred within 1 year after diagnosis (SMR, 3.04; 95% CI, 2.83–3.27). At the beginning of cancer diagnosis, patients are often at increased risk of CVD due to psychological stress such as anxiety and stress, these emotional states may be increased pressure on the heart due to the increased burden of disease, leading to death from cardiovascular causes, this phenomenon were particularly pronounced in esophageal, liver, pancreatic and lung cancers (19). In addition, EC patients are at risk for long-term cardiac sequelae due to radiotherapy, chemotherapy or surgery during treatment, which may also contribute to the high incidence of CVD related death (20). CVD are the most common cause of non-cancer death in EC patients, it is significant to select high-risk EC patients of CVD related death and develop appropriate measures to prevent potential risk of it. Previous studies indicated that male sex, black race, advanced age, receive radiotherapy were associated with a significantly increased risk of death from CVD (17, 20). Male cancer patients have a greater risk of death from CVD compared to women (17), our research came to the same conclusion, this phenomenon may be due to hormonal differences (21). Another possible reason were that men tend to have worse lifestyle habits, such as drinking and smoking, which have been reported to be independent risk factors for CVD (22–24). According to previous studies, black are more likely to died from CVD than other races (25, 26), this may be due to the higher risk of venous thromboembolism in black cancer patients (26). Our research showed that black patients are at greater risk of CVD related death, but there was no statistical significance (HR:1.111; P=0.160), this may be due to the small percentage of blacks in the overall study cohort (11.3%), so may be it doesn’t reflect actual CVD related death in the whole black population, therefore, further investigation about this issue in EC patients is still necessary. In our research, older patients are more likely to died from CVD, which is in line with previous study (17). The reason may be that elderly patients has a higher incidence of comorbidities, which may result higher risk of cardiovascular events, but the specific mechanism still needs further analysis. In addition, multivariate competitive risk analysis suggested that EC patients with poorly and undifferentiated (HR: 0.843; 95% CI: 0.757-0.938) and distant tumor stage (HR: 0.315; 95% CI: 0.271-0.366) has lower risk of CVD related death, low degree of differentiation and distant stage are adverse prognostic factors of EC patients (27, 28), since the proportion of CVD related death increased with the increase in years of diagnosis, leading to the possibility that these patients may not have a long enough life expectancy to died from CVD. Married patients showed a lower tendency to died from CVD than unmarried patients (HR: 0.883; 95% CI: 0.797-0.978), they often receive more physical and emotional care, encouragement and support than unmarried patients (29), that could be one of the reason. Our study revealed that EC patients diagnosed between 2010-2016 had a lower risk of CVD related death. With the advances in imaging and laboratory medicine, such as cardiac magnetic resonance imaging and echocardiography, as well as the widespread clinical use of troponin and n-terminal b-type natriuretic peptide, resulting more and more early detection and intervention of heart disease (30–32), in addition, the comprehensive treatment measures of EC continues to improve (4–8), these advances in medical technology may have significantly reduced heart-specific mortality in recent years. Many studies established that cancer patients without surgery may lead to a significantly increased risk of CVD related death (17, 20, 33), but there have also been studies showing that surgery can increase the risk of venous thromboembolism (34, 35). Our study indicated that surgical treatment is an risk factor for CVD related death but there was no statistical significance (HR: 1.054; P=0.370). Khorana proposed that thromboembolism is the leading cause of death in cancer patients who received chemotherapy (10), in our research, patients who received chemotherapy alone had a lower risk of CVD related death than patients who did not received any treatments (HR: 0.702; P=0.004). It has been claimed that anticoagulant therapy can prolong the survival time of cancer patients, low molecular weight heparin and warfarin are more and more commonly used in cancer patients during chemotherapy in recent years, which to some extent reduces the probability of thromboembolic events in cancer patients (18). In addition, patients received regularly chemotherapy can have better health monitoring during treatment and receive more timely intervention when at risk for thromboembolism to avoid subsequent adverse events. These reasons may explain the lower risk of CVD related death in EC patients who receiving chemotherapy alone. Advances in cancer treatment, while significantly reducing mortality from primary cancer, may increase the risk of death from causes other than primary cancer, such as non-cancer comorbidities. Radiotherapy can bring survival benefits to EC patients (4), but the short and long-term side effects of radiotherapy cannot be ignored. Our study indicated that EC patients who received radiotherapy had a higher risk of death from CVD (HR:1.180; P=0.005). This is consistent with the conclusions of previous analysis (20). Long-term cardiotoxicity caused by radiotherapy has been previously reported, mainly including myocardial fibrosis, pericardial disease, coronary artery disease, valvular disease and arrhythmias (20). It has been reported that abnormal increase of myocardial perfusion, decrease of ejection fraction and pericardial effusion occurred after chemoradiotherapy by imaging examination (36–38). In addition, given that the heart is anatomically located close to the esophagus, it is expected that the radiation process will affect the heart, these above side effects may lead to cardiovascular system injury, but the exact mechanism is still unclear and further research is still needed. Therefore, despite the survival benefits of radiotherapy for EC patients, its potential cardiac toxicity and side effects should not be ignored, radiation-induced cardiotoxicity should be considered in long-term follow-up management of EC patients. Our study have several limitations: first, factors such as patient’s comorbidities (hyperlipidemia, diabetes, dyslipidemia, obesity and history of CVDs), bad habits (alcohol use and smoking habit), family history, detailed information of radiation and chemotherapy (type, dosage, and duration) may influence CVD related death in EC patients, but these information are not included in the SEER database (12, 14). Second, because only patients diagnosed between 2000 and 2016 were included, some patients diagnosed late do not have adequate follow-up time. Finally, this study was retrospective analysis, which may be biased in data selection.

Conclusion

Non-cancer deaths account for a significant proportion of death in EC patients, the highest numbers of non-cancer deaths were caused by CVD. Patients, who were 50-70 years old, >70 years old, male sex, well differentiated and moderately differentiated, localized stage, unmarried state, diagnosed between 2000-2009 and receive radiotherapy had a significantly higher risk of death from CVD. Compared with EC patients without any treatments, patients received chemotherapy alone has lower risk of CVD related death. Regular CVD screening and CVD risk factors control are of great significance for the follow-up of EC patients.

Data availability statement

Publicly available datasets were analyzed in this study. This data can be found here: https://seer.cancer.gov/.

Author contributions

YX and LF designed the research. YX, ML, JH, LF performed the study and analyzed the data. YX and ML wrote the paper and interpreted the data. LF, ML and JH help to revised manuscript. All authors read and approved the final manuscript. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the Changzhou No.2 People’s Hospital Fund (2019HZD001).

Acknowledgments

The authors acknowledge contributions from SEER program.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  38 in total

1.  Analysis of death causes of in-patients with malignant tumors in Sichuan Cancer Hospital of China from 2002 to 2012.

Authors:  Xiao Wang; Zheng-Fang Song; Rui-Meng Xie; Jiao Pei; Ming-Fei Xiang; Huan Wang
Journal:  Asian Pac J Cancer Prev       Date:  2013

2.  Risk factors for pericardial effusion in inoperable esophageal cancer patients treated with definitive chemoradiation therapy.

Authors:  Xiong Wei; H Helen Liu; Susan L Tucker; Shulian Wang; Radhe Mohan; James D Cox; Ritsuko Komaki; Zhongxing Liao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-01-11       Impact factor: 7.038

3.  The contribution of specific causes of death to sex differences in mortality.

Authors:  Mitchell D Wong; Anne K Chung; W John Boscardin; Ming Li; Hsin-ju Hsieh; Susan L Ettner; Martin F Shapiro
Journal:  Public Health Rep       Date:  2006 Nov-Dec       Impact factor: 2.792

4.  A comparison of multimodal therapy and surgery for esophageal adenocarcinoma.

Authors:  T N Walsh; N Noonan; D Hollywood; A Kelly; N Keeling; T P Hennessy
Journal:  N Engl J Med       Date:  1996-08-15       Impact factor: 91.245

5.  Survival benefits from neoadjuvant chemoradiotherapy or chemotherapy in oesophageal carcinoma: a meta-analysis.

Authors:  Val Gebski; Bryan Burmeister; B Mark Smithers; Kerwyn Foo; John Zalcberg; John Simes
Journal:  Lancet Oncol       Date:  2007-03       Impact factor: 41.316

6.  The clinical implications of myocardial perfusion abnormalities in patients with esophageal or lung cancer after chemoradiation therapy.

Authors:  Isis Gayed; Salman Gohar; Zhongxing Liao; Mary McAleer; Roland Bassett; Syed Wamique Yusuf
Journal:  Int J Cardiovasc Imaging       Date:  2009-02-22       Impact factor: 2.357

7.  Cigarette smoking and hypertension. Factors independently associated with blood hyperviscosity and arterial rigidity.

Authors:  J Levenson; A C Simon; F A Cambien; C Beretti
Journal:  Arteriosclerosis       Date:  1987 Nov-Dec

8.  Venous thromboembolism after major cancer surgery: temporal trends and patterns of care.

Authors:  Vincent Q Trinh; Pierre I Karakiewicz; Jesse Sammon; Maxine Sun; Shyam Sukumar; Mai-Kim Gervais; Shahrokh F Shariat; Zhe Tian; Simon P Kim; Keith J Kowalczyk; Jim C Hu; Mani Menon; Quoc-Dien Trinh
Journal:  JAMA Surg       Date:  2014-01       Impact factor: 14.766

9.  Risk factors associated with mortality from vascular thromboembolic events in patients diagnosed with non-small cell lung cancer: a population-based analysis.

Authors:  X-J He; Y-Y Wu; M-R Xia; Z-Q Li; M Zhao; Q-D Dai; J-P Zhang; J-H Xia; J-W Zhang
Journal:  QJM       Date:  2017-12-01

10.  Incidence of Death From Unintentional Injury Among Patients With Cancer in the United States.

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