Literature DB >> 35804871

Early Mortality among Patients with Head and Neck Cancer Diagnosed in Thuringia, Germany, between 1996 and 2016-A Population-Based Study.

Mussab Kouka1, Jens Buentzel2, Holger Kaftan3, Daniel Boeger4, Andreas H Mueller5, Andrea Wittig6, Stefan Schultze-Mosgau7, Thomas Ernst8, Orlando Guntinas-Lichius1.   

Abstract

Population-based studies on early mortality in head and neck cancer (HNC) are sparse. This retrospective population-based study investigated early mortality of HNC and the influence of patients' tumor and treatment characteristics. All 8288 patients with primary HNC of the German federal state Thuringia from 1996 to 2016 were included. Univariate and multivariate analysis were performed to identify independent factors for 30-day, 90-day, and 180-day mortality. The 30-, 90-, and 180-day mortality risks were 1.8%, 5.1%, and 9.6%, respectively. In multivariable analysis, male sex (odds ratio (OR) 1.41; 95% confidence interval (CI) 1.08-1.84), increasing age (OR 1.81; CI 1.49-2.19), higher T (T4: OR 3.09; CI 1.96-4.88) and M1 classification (OR 1.97; CI 1.43-2.73), advanced stage (IV: OR 3.97; CI 1.97-8.00), tumors of the cavity of mouth (OR 3.47; CI 1.23-9.75), oropharynx (OR 3.01; CI 1.06-8.51), and hypopharynx (OR 3.27; CI 1.14-9.40) had a significantly greater 180-day mortality. Surgery (OR 0.51; CI 0.36-0.73), radiotherapy (OR 0.37; CI 0.25-0.53), and multimodal therapy (OR 0.10; CI 0.07-0.13) were associated with decreased 180-day mortality. Typical factors associated with worse overall survival had the most important impact on early mortality in a population-based setting.

Entities:  

Keywords:  180-day mortality; 30-day mortality; 90-day mortality; early death; early mortality; head and neck cancer; survival

Year:  2022        PMID: 35804871      PMCID: PMC9264998          DOI: 10.3390/cancers14133099

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.575


1. Introduction

Germany has a population of approximately 83 million inhabitants [1]. In 2018, the overall number of new cancer cases was 497,885. The number of new head and neck cancer (HNC) cases was 14,312, which represents 2.8% of all cancers [2]. Tumor staging is performed according to the TNM classification and the UICC (Union for international Cancer Control) system [3]. HNC is the seventh most common cancer worldwide and is often diagnosed at an advanced stage (stage III/IV), which is associated with a lower overall survival (OS) [4,5]. Approximately 34% of the patients die within 5 years after diagnosis [6,7]. Death of the patients can also occur early after diagnosis and during the period of treatment. Early mortality in HNC in this regard is poorly studied. Early mortality describes premature death within a defined interval (e.g., 30-day, 90-day, or 180-day mortality) after the date of diagnosis. In nationwide studies of the Swedish and Finnish databases, early mortality at 180 days was about 9–10% [8]. The causes of early mortality may be either tumor-related, patient-related, treatment-related, or due to perioperative mortality. Few studies have examined early mortality in HNC patients in an epidemiologic population-based setting [9,10,11]. Based on data from the Danish Head and Neck Cancer Group (DAHANCA), 180-day mortality was 7.1% for all HNC patients treated with curative radio(chemo)therapy in Denmark between 2000 and 2017 [12]. In the Swedish Head and Neck Cancer Registry (SweHNCR) population-based study between 2008 and 2015, 180-day early mortality rate of 9733 HNC patients was 9.5% [9]. A retrospective analysis of the U.S. National Cancer Data Base (NCDB) of HNC cases between 2004 and 2014 examined demographic and socioeconomic factors that influence early mortality. Gender, race/ethnicity, comorbidity, other socioeconomic factors, interval between diagnosis to treatment, income, and insurance were associated with decreased 90-day mortality [10]. In general, most evidence comes from larger monocentric series and retrospective studies and therefore has methodologic limitations. Therefore, a population-based analysis of cancer registry data of all new Thuringian patients treated for primary HNC between 1996 and 2016 was performed. The main task was to investigate the influence of patients’ characteristics, tumor characteristics, and treatment types on early mortality at 30, 90, and 180 days after initial diagnosis.

2. Material and Methods

2.1. Ethical Considerations

This retrospective study was approved by the Ethics Committee of the Jena University Hospital (IRB No. 3204-07/11). The Ethics Committee waived the requirement for informed consent of the patients because the study had a non-interventional retrospective design and all data were analyzed anonymously.

2.2. Patients

This population-based cohort study was conducted using patient data from the five Thuringian cancer registries (Gera, Erfurt, Nordhausen, Suhl, Weimar, and Jena). All patients who were diagnosed with primary HNC in the Thuringian cancer registries from January 1996 to December 2016 were included. Thuringia is one of 16 states in the Federal Republic of Germany and has a population of 2.2 million people. All patients who had skin cancer or who had metastases from other entities in the head and neck region were excluded. Duplicates were also excluded, i.e., in patients with multiple head and neck cancers, only the index cancer was counted. A total of 8288 new cases of primary head and neck cancer were registered. The cases were divided into salivary glands, lip, oral cavity, oropharynx, nasopharynx, hypopharynx, larynx, nasal/paranasal cavity, middle ear, and unspecified according to the International Classification of Diseases for Oncology (ICD-O-3) [13]. The clinical (or if the patient underwent primary surgery) pathological T, N, and M categories were recorded and grouped together to the UICC tumor stage of the primary tumor using the TNM classification, 7th edition [7]. If a case was originally classified in accordance with an older edition, the case was reclassified according to the 7th edition. To allow an optimal comparison with other population-based studies, the tumors were additionally categorized according to the Surveillance, Epidemiology, and End Results Program (SEER) classification system into primary tumors without metastasis (localized), tumor with cervical metastasis (regional), and tumor with distal metastasis (distal).

2.3. Statistical Analysis

SPSS Statistics version 25 (IBM Deutschland GmbH, 71139 Ehningen, Germany) was used to perform the statistical analyses. The 30-day, 90-day, and 180-day mortality, respectively, was defined as any patient who died within these three periods. Nominal or ordinal parameters for patients’ tumor and treatment characteristics were compared between the patients who were alive and died within the three periods using chi-squared and Fisher exact tests. Significant factors from these univariate analyses were included into multivariate binary logistic regression models (death: yes/no) to identify independent factors separately for 30-day, 90-day, and 180-day mortality, respectively. Missing data were minimal (<5%) for outcomes and predictor variables employed in the reported analyses, and hence no imputation was employed. Unadjusted odds ratios (OR) are reported with 95% confidence intervals (CI). All statistical tests were 2-sided. The significance level of p = 0.05 was set.

3. Results

3.1. Patients’ Characteristics, Tumor Characteristics, and Treatment Characteristics

The distribution of patient characteristics, tumor characteristics, and treatment characteristics factors in the total cohort and in the subgroups with 30-day, 90-day, and 180-day mortality is shown in Table 1. The median age at diagnosis was 60 years and men formed the majority of HNC patients (6540 men, 78.9%). Most patients had T1-2 tumors, 40% had N0 status, and 87% had no evidence of distant metastases. Most tumors were located in the larynx (21%), pharynx (40.7%), and oral cavity (27%). Of the total group of 8288 HNC patients, 151 patients (1.8%) died within 30 days, 426 patients (5.1%) within 90 days, and 798 patients (9.6%) within 180 days after diagnosis of HNC. Mortality rates related to gender, age, cancer staging, and treatment are summarized in Figure 1. The mortality at 30, 90, and 180 days was higher in male patients and in patients older than the median age. Mortality increased with higher tumor stage, especially for stage IV cancer. If no curative therapy was possible, about one third of the patients died within 90 days, and nearly half of the patients within 180 days after diagnosis.
Table 1

Univariable analyses on predictors for 30-day, 90-day, and 180-day mortality.

AllDeath within 30 days p Death within 90 days p Death within 180 daysp *
Parameter N % N % N % N %
Overall 8288100.0151100.0 426100.0 798100.0
Gender 0.047 0.005 0.004
Female1748 21.12214.6 67 15.7 137 17.2
Male6540 78.9129 85.4 359 84.3 661 82.8
Age <0.001 <0.001 <0.001
≤Median3974 47.940 26.5 124 29.1 283 35.5
>Median3986 48.1111 73.5 302 70.9 515 64.5
Unknown3284.000 00 00
T classification <0.001 <0.001 <0.001
T12019 24.413 8.6 31 7.3 60 7.5
T21836 22.220 13.2 56 13.1 114 14.3
T3130315.716 10.6 68 16.0 132 16.5
T41941 23.460 39.7 172 40.4 351 44.0
Tx118914.341 27.2 99 23.2 141 17.7
N classification <0.001 <0.001 <0.001
N0335240.43523.1 92 21.6 170 21.3
N1783 9.58 5.3 36 8.5 61 7.6
N22457 29.645 29.8 143 33.6 320 40.1
N32853.416 10.6 36 8.5 74 9.3
Nx1411 17.147 31.1 11927.9 17321.7
M classification <0.001 <0.001 <0.001
M0 87.087.0108 71.5 32175.4 61577.1
M1362 4.418 11.9 4911.5 10813.5
Mx714 8.625 16.6 5613.1 759.4
Cancer staging <0.001 <0.001 <0.001
Stage I143517.38 5.3 14 3.3 253.1
Stage II911 11.07 4.6 27 6.3 49 6.1
Stage III105212.712 7.9 37 8.7 62 7.8
Stage IV3546 42.881 53.6 245 57.5 521 65.3
Unknown1344 16.24328.5 103 24.2 14117.7
SEER staging <0.001 <0.001 <0.001
Localized329439.734 22.5 8520.0 158 19.8
Regional/distal363643.972 47.7 234 54.9 493 61.8
Unstaged1358 16.445 29.8 107 25.1 147 18.4
Localization 0.084 <0.001 <0.001
Lip275 3.31 0.7 4 0.9 7 0.9
Cavity of the mouth211625.547 31.1 110 25.8 207 25.9
Oropharynx224027.048 31.8 140 32.9 260 32.6
Nasopharynx1912.32 1.3 8 1.9 22 2.8
Hypopharynx941 11.42214.6 7016.4 140 17.5
Larynx1737 21.022 14.6 57 13.4 100 12.5
Nose and paranasal sinus246 3.053.3 16 3.8 23 2.9
Middle ear7 0.10 0.0 0 0.0 1 0.1
Salivary glands4905.942.6 21 4.9 38 4.8
Unspecified450.500.0 0 0.0 0 0.0
Recurrence <0.001 <0.001 <0.001
Yes1330 16.053.3 13 3.1 55 6.9
No695884.0146 96.7 413 96.9 743 93.1
Treatment <0.001 <0.001 <0.001
No therapy4345.268 45.0 137 32.2 183 22.9
Radiotherapy alone5676.8117.3 59 13.8 132 16.5
Surgery alone219326.55939.1 13130.8 199 24.9
Multimodal therapy4766 57.5138.6 99 23.2 284 35.6
Unknown328 4.0NANA NANA NANA

* significant values (p < 0.05) in bold; NA = not applicable; SEER = Surveillance, Epidemiology, and End Results Program.

Figure 1

Distribution of 30-day, 90-day, and 180-day mortality according to gender (A), age in relation to the median of 60 years (B), cancer staging (C), and treatment (D).

3.2. Univariate Analysis of Predictors for Early Mortality

There was a significant survival difference in sex and age in all inclusion periods (Table 1). Male sex (death within 30 days: 85.4%, p = 0.047; death within 90 days: 84.3%, p = 0.005; death within 180 days: 82.8%, p = 0.004) and higher age (death within 30 days: 73.5%, death within 90 days: 70.9%, and death within 180 days: 64.5%; all p < 0.001) was associated with higher early mortality probability. Higher T-, N-, and M-classification and advanced cancer stage showed significant influence for all inclusion periods of 30-day, 90-day, and 180-day mortality (all p < 0.001). Tumor localization showed no significant impact on the 30-day mortality (p = 0.084). The probability of 90-day and 180-day mortality varied depending on the primary tumor localization (p < 0.001). The worst prognosis was found for tumors located in the cavity of the mouth (25.9%), oropharyngeal (32.6%), and hypopharyngeal carcinoma (17.5%) with death occurring within 180 days (p < 0.001). Any treatment type also showed a significant influence on early mortality for all inclusion periods (all p < 0.001). Patients who underwent radiotherapy (death within 30 days: 7.3%; death within 90 days 13.8%; death within 180 days: 16.5%), surgery (death within 30 days: 39.1%; death within 90 days: 30.8%; death within 180 days: 24.9%) or multimodal therapy (death within 30 days: 8.6%; death within 90 days: 23.2%; death within 180 days: 35.6%) had lower risk for early mortality (all p < 0.001). In summary, patients’ tumor and treatment related factors all influenced the risk of death within 30 days, 90 days, and 180 days except tumor localization in the 30-day mortality (p = 0.084).

3.3. Multivariate Analysis of Predictors for Early Mortality

The odds ratio (OR) and 95% confidence interval (CI) for 30-day, 90-day, and 180-day mortality are shown in Table 2. In the multivariable logistic regression analysis, all variables which showed significance in the univariate analysis were included. Men had a 3.8-fold increased odds ratio than women (OR 3.81; 95% CI 1.71–8.49; p = 0.001) for 30-day mortality, 1.8-fold increased odds ratio for 90-day mortality (OR 1.81; 95% CI 1.23–2.65; p = 0.003), and 1.4-fold increased OR for 180-day mortality (OR 1.41; 95% CI 1.080–1.836; p = 0.012). Increased age at diagnosis (30-day mortality: OR 2.137; 95% CI 1.33–3.43; p = 0.002; 90-day mortality: OR 2.16; 95% CI 1.64–2.84; p < 0.001; 180-day mortality: OR 1.81; 95% CI 1.49–2.19; p < 0.001) and recurrence (30-day mortality: OR 0.11; 95% CI 0.02–0.77; p = 0.027; 90-day mortality: OR 0.12; 95% CI 0.05–0.29; p < 0.001; 180-day mortality: OR 0.46; 95% CI 0.32–0.63; p < 0.001) showed to be independent variables for all inclusion periods of 30-day, 90-day, and 180-day mortality. All treatment types except for surgery in the 30-day mortality showed also a significant influence for all inclusion periods. Surgery (90-day mortality: OR 0.55; 95% CI 0.37–0.82; p < 0.001; 180-day mortality: OR 0.51; 95% CI 0.36–0.73; p < 0.001), radiotherapy (90-day mortality: OR 0.19; 95% CI 0.12–0.31; p < 0.001; 180-day mortality: OR 0.37; 95% CI 0.25–0.53; p < 0.001) and multimodal therapy (90-day mortality: OR 0.05; 95% CI 0.04–0.08; p < 0.001; 180-day mortality: OR 0.10; 95% CI 0.07–0.13; p < 0.001) were associated with decreased 90-day and 180-day mortality.
Table 2

Multivariate analyses on predictors for 30-day, 90-day, and 180-day mortality.

30-Day Mortality90-Day Mortality180-Day Mortality
ParameterOR *Lower 95% CIUpper 95% CI p OR *Lower 95% CIUpper 95% CI p OR *Lower 95% CIUpper 95% CI p **
GenderFemale1Reference1Reference1Reference
Male3.811.718.49 0.001 1.811.232.65 0.003 1.411.081.84 0.012
Age≤Median1Reference1Reference1Reference
>Median2.141.333.43 0.002 2.161.642.84 <0.001 1.811.492.19 <0.001
T classificationT11Reference1Reference1Reference
T22.100.567.8480.2691.420.663.030.3711.140.691.870.608
T31.130.294.380.8572.451.195.05 0.015 1.881.173.01 0.009
T43.981.1114.320.0344.152.048.46 <0.001 3.091.964.88 <0.001
N classificationN01.00Reference1Reference1Reference
N12.680.2627.530.4080.970.3063.090.9620.830.342.030.677
N25.320.6146.140.1300.960.3292.810.9431.120.492.600.789
N311.991.30110.65 0.028 1.740.575.360.3352.130.895.120.091
M classificationM01.00Reference1Reference1Reference
M11.710.883.350.1151.360.8672.130.1801.971.432.73 <0.001
UICC stagingI1.00Reference1Reference1Reference
II1.160.226.150.8623.371.239.22 0.018 3.511.567.91 0.002
III5.820.9137.410.0643.181.0110.00 0.048 2.981.286.94 0.012
IV3.150.5517.970.1963.071.019.32 0.048 3.971.978.00 0.001
UICC staging categorizedI/II1.00Reference1Reference1Reference
III/IV1.080.353.340.8941.030.492.150.9361.290.722.300.389
SEER stagingLocalized1.00Reference1Reference1Reference
Regional/distal0.290.032.790.2861.930.626.010.2591.570.653.800.315
Únstaged8.920.061378.5360.3958.370.369189.670.1822.460.1346.560.548
LocalizationLip----1Reference1Reference
Cavity of the mouth----2.660.808.850.1123.471.229.75 0.019
Oropharynx----2.750.829.250.1013.011.068.51 0.038
Nasopharynx----0.990.185.480.9862.470.728.400.149
Hypopharynx----2.610.768.990.1293.271.149.40 0.028
Larynx----1.350.404.560.632800.635.110.271
Nose/paranasal sinus----2.010.4688.810.3552.00.606.900.258
Middle ear------------
Salivary glands----1.540.405.990.5321.910.625.910.261
Unspecified------------
RecurrenceNo1Reference1Reference1Reference
Yes0.110.020.77 0.027 0.120.050.29 <0.001 0.450.320.63 <0.001
TreatmentNo therapy1Reference1Reference1Reference
Radiotherapy0.100.050.23 <0.001 0.190.120.31 <0.001 0.370.250.533 <0.001
Surgery0.600.351.040.0680.550.370.82 <0.001 0.510.360.73 <0.001
Multimodal therapy0.020.010.03 <0.001 0.050.040.08 <0.001 0.100.000.13 <0.001

* All significant variables (p < 0.05) of the univariate analyses were included in the multivariate analyses. All models included simultaneously the parameters gender, age, localization, recurrence, and treatment. To avoid a multiple inclusion of the same data, the models additionally included either the T, N, M classification parameters, or the UICC staging, or the SEER staging; OR = odds ratio; CI = confidence interval; - = not applicable; SEER = Surveillance, Epidemiology, and End Results Program; ** significant values (p < 0.05) in bold.

Radiotherapy (OR 0.10; 95% CI 0.05–0.23; p < 0.001) and multimodal therapy (OR 0.02; 95% CI 0.01–0.03; p < 0.001) showed decreased 30-day mortality. The expected important predictors such as T3 (90-day mortality: OR 2.45; 95% CI 1.19–5.05; p = 0.015; 180-day mortality: OR 1.88; 95% CI 1.17–3.01; p = 0.009) and T4 classification (90-day mortality: OR 4.15; 95% CI 2.040–8.46; p < 0.001; 180-day mortality: OR 3.09; 95% CI 1.96–4.88; p < 0.001), and cancer stage II (90-day mortality: OR 3.37; 95% CI 1.23–9.22; p = 0.018; 180-day mortality: OR 3.51; 95% CI 1.56–7.91; p = 0.002), stage III (90-day mortality: OR 3.18; 95% CI 1.01–10.00; p = 0.048; 180-day mortality: OR 2.98; 95% CI 1.28–6.94; p = 0.012), and stage IV (90-day mortality: OR 3.07; 95% CI 1.01–9.32; p = 0.048; 180-day mortality: OR 3.97; 95% CI 1.97–8.00; p < 0.001) were associated with an increased risk of 90-day and 180-day mortality. There was no significant influence for all inclusion periods by higher N-classification except for N3–classification during 30-day mortality (OR: 11.99; 95% CI 1.23-110.65; p = 0.028). In 180-day mortality, M1 classification (OR 1.97; 95% CI 1.43–2.73; p < 0.001), tumors of the cavity of the mouth subsite (OR 3.47; 95% CI 1.23–9.75; p = 0.019), oropharynx (OR 3.01; 95% CI 1.06–8.51; p = 0.038), and hypopharynx (OR 3.27; 95% CI 1.14–9.40; p = 0.028) additionally showed significant influence. In total, odds ratios for 90-day and 180-day mortality were similar for most variables. There were less significant independent factors for 30-day mortality than for 90-day and 180-day mortality. Mortality risk for higher age, recurrence, and treatment types of 30-day mortality were similar to that of 90-day and 180-day mortality. The odds ratio for male sex during 30-day mortality was 3.819, indicating that men have more than twice the risk of dying within 30 days than within 90 days (OR: 1.81; 95% CI 1.23–2.65; p = 0.003) or 180 days (OR: 1.41; 95% CI 1.08–1.84; p = 0.012).

4. Discussion

Early mortality of HNC patients in terms of incidence and influencing factors has been rarely investigated worldwide. In Germany, early mortality of HNC patients has not been analyzed so far. To our knowledge, this study provides for the first time a population-based analysis of early mortality of HNC patients in Germany. The aim was to investigate the role of premature mortality and the influence of patients’ characteristics, tumor characteristics, and treatment types. The odds ratios for higher age, recurrence, and treatment types of 30-day mortality were similar to those for 90-day and 180-day mortality whereas the odds ratio for men of 30-day mortality was twice that during 90-day and 180-day mortality. In total, the odds ratios for 90-day and 180-day mortality were similar for most variables. Two previous Swedish studies based on data from 6785 and 9733 HNC patients reported 180-day mortality of 9.8% and 9.5%, respectively [7,8]. These results are consistent with our 180-day mortality of 9.6%. Jensen et al. reported a 90-day and 180-day mortality of 3.1% and 7.1% based on data from the Danish Head and Neck Cancer Group (DAHANCA) for 11,419 HNC patients treated with curative radio(chemo)therapy [12]. However, a comparison of treatment characteristic should be considered. The decreased risk in the Danish study is associated with HNC patients treated with primary radio(chemo)therapy [13]. In the present study, all types of therapy were considered. Otherwise, the present dataset would have been subject to an uncontrolled bias here. Therefore, the differences in early mortality may be influenced by the different treatment types and less investigated factors in the Danish study [14]. In randomized, multicenter clinical trials for treatment of HNC, 30-day mortality has been about 1.5−3.3% [15,16,17]. These results are consistent with the 30-day mortality rate of 1.8% in the present study. Most studies on early mortality of HNC examined only one period of early mortality (often 90-day mortality or 180-day mortality) [8,10,11,18]. Only a few studies observed more than one period of early mortality [9,12]. This study is the first to compare three inclusion periods of early mortality. There was no clear evidence of a period with a higher risk of early mortality for HNC patients, i.e., there was no relevant difference between 30, 90, and 180 days after diagnosis of HNC. The risk of early death was related to patients’ tumor and treatment characteristics. Increasing age and male gender were associated with a significantly increased risk of early mortality. Broadly consistent with previous studies were increasing age, advanced T-classification, increased stage, the location of the hypopharyngeal tumor and oral cavity carcinoma, which were associated with an increased risk of early mortality [9,11,12,18,19,20]. In general, the factors associated with early mortality are the same factors associated with worse overall survival of HNC [21]. However, important factors influencing overall survival such as alcohol consumption, smoking habits, and HPV status were not considered in this study [22]. There was a significant decrease of odds ratios of the investigated factors for most variables during the inclusion periods of 30-day, 90-day, and 180-day mortality. We suggest that the decreasing mortality risk is associated with increasing advances in imaging diagnostics and treatment decision-making, including multidisciplinary tumor boards and generally improved medical and nursing treatment care during the time after diagnosis of HNC. However, this study has some limitations. The retrospective design cannot guarantee sufficient information and standardized treatment decisions. Additionally, the actual causes of death were not reported. It is not clear whether death was caused by the cancer itself, by treatment-related complications, or by concomitant diseases. In addition, insufficient patient data and lack of information on alcohol consumption, smoking habits, occupational exposures, oral hygiene, and HPV status are limiting factors in this study [23]. Socioeconomic factors, comorbidity, and frailty were also not taken into account in this study, although there is evidence of a significant influence on early mortality [10,18,24]. Gaubatz et al. demonstrated the significant influence of socioeconomic factors such as gender, race/ethnicity, comorbidity, distance to treatment, income, and insurance in a retrospective analysis of the U.S. National Cancer Data Base (NCDB) of 260,011 HNC patients [10]. However, this study, with its large patient population, homogeneity, and population-based nature, may offset some of the limiting factors. We demonstrated that increasing age, male sex, higher T (T3, T4) and M1 classification, advanced stage, cavity of mouth subsite, oropharyngeal and hypopharyngeal carcinoma were significant factors for 180-day mortality. In addition, some of our results were confirmed in a previous study on the same patient population. Dittberner et al. showed that male gender, higher tumor stage, and hypopharyngeal carcinoma were also independent factors with a negative impact on overall survival in the same cohort of patients [25]. The surgical techniques, the modalities of radiotherapy, and the concepts of multimodal therapy have changed between 1996 and 2016. For instance, the introduction of transoral robotic surgery might have decreased early mortality [26]. The influence of innovative surgical techniques and other therapy changes on early mortality were not analyzed. Immunotherapy has opened a new era in cancer treatment and was introduced for head and neck cancer in 2018, hence later than the study period analyzed in the present trial [27]. It remains to be seen if immunotherapy, when it has reached primary therapy concepts [28], will help to decrease early mortality. Since the legal regulations and responsibilities for cancer registration in Germany have changed within 20 years, bias and underreporting of incident cases cannot be excluded. Nevertheless, the Thuringian cancer registries have probably covered about 98% of all head and neck cancer patients in Thuringia over the period of the study [29,30]. The results in this study and additional clinical information can be used to identify patients with high risk of early mortality. Curative and palliative treatments could be optimized for HNC patients with high risk of early mortality. In this study, almost every type of treatment was associated with decreased risk for early death during all inclusion periods of 30-day, 90-day and 180-day mortality. Therefore, it is important to reduce treatment delays to prevent early death. In summary, the 30-day, 90-day, and 180-day mortality risks were 1.8%, 5.1%, and 9.6%, respectively. The odds ratios for higher age, recurrence, and treatment types were similar to all inclusion periods of 30-day, 90-day, and 180-day mortality. The odds ratios for male sex, T-classification, and cancer stage were very similar for 90-day and 180-day mortality. Further studies with more attention to relevant influencing factors with the potential to reduce early death need to be performed.

5. Conclusions

This study provides for the first time a population-based analysis of 8288 HNC patients in Germany investigating early mortality 30 days, 90 days, and 180 days after diagnosis of HNC between 1996 and 2016. In summary, the 30-day, 90-day, and 180-day mortality risks were 1.8%, 5.1%, and 9.6%, respectively. Increased age at diagnosis, male sex, recurrence, and treatment types showed to be independent factors for all inclusion periods of 30-day, 90-day, and 180-day mortality. For 90-day and 180-day mortality, advanced T classification, and advanced stage were significant factors. Only in 180-day mortality tumors of cavity of mouth, oropharynx, and hypopharynx were additionally found to be independent factors. The mortality risks for higher age, recurrence, and treatment types were similar for the 30-day, 90-day, and 180-day mortality. In contrast, the mortality risks for male sex, T-classification, and cancer stage were only very similar for the 90-day and 180-day mortality. For 30-day mortality, only mortality risk for male sex was higher than for 90-day and 180-day mortality. Further studies with more attention to relevant influencing factors with the potential to reduce early death need to be performed.
  25 in total

1.  Racial and socioeconomic disparities associated with 90-day mortality among patients with head and neck cancer in the United States.

Authors:  Matthew E Gaubatz; Aleksandr R Bukatko; Matthew C Simpson; Katherine M Polednik; Eric Adjei Boakye; Mark A Varvares; Nosayaba Osazuwa-Peters
Journal:  Oral Oncol       Date:  2018-12-29       Impact factor: 5.337

2.  Impact of severe malnutrition on short-term mortality and overall survival in head and neck cancer.

Authors:  Frank R Datema; Marciano B Ferrier; Robert J Baatenburg de Jong
Journal:  Oral Oncol       Date:  2011-07-28       Impact factor: 5.337

3.  Changes in survival in head and neck cancers in the late 20th and early 21st century: a period analysis.

Authors:  Dianne Pulte; Hermann Brenner
Journal:  Oncologist       Date:  2010-08-26

Review 4.  Introducing Checkpoint Inhibitors Into the Curative Setting of Head and Neck Cancers: Lessons Learned, Future Considerations.

Authors:  Pablo Nenclares; Antonio Rullan; Kenric Tam; Lara A Dunn; Maie St John; Kevin J Harrington
Journal:  Am Soc Clin Oncol Educ Book       Date:  2022-04

5.  Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Authors:  Jonathan M Kocarnik; Kelly Compton; Frances E Dean; Weijia Fu; Brian L Gaw; James D Harvey; Hannah Jacqueline Henrikson; Dan Lu; Alyssa Pennini; Rixing Xu; Emad Ababneh; Mohsen Abbasi-Kangevari; Hedayat Abbastabar; Sherief M Abd-Elsalam; Amir Abdoli; Aidin Abedi; Hassan Abidi; Hassan Abolhassani; Isaac Akinkunmi Adedeji; Qorinah Estiningtyas Sakilah Adnani; Shailesh M Advani; Muhammad Sohail Afzal; Mohammad Aghaali; Bright Opoku Ahinkorah; Sajjad Ahmad; Tauseef Ahmad; Ali Ahmadi; Sepideh Ahmadi; Tarik Ahmed Rashid; Yusra Ahmed Salih; Gizachew Taddesse Akalu; Addis Aklilu; Tayyaba Akram; Chisom Joyqueenet Akunna; Hanadi Al Hamad; Fares Alahdab; Ziyad Al-Aly; Saqib Ali; Yousef Alimohamadi; Vahid Alipour; Syed Mohamed Aljunid; Motasem Alkhayyat; Amir Almasi-Hashiani; Nihad A Almasri; Sadeq Ali Ali Al-Maweri; Sami Almustanyir; Nivaldo Alonso; Nelson Alvis-Guzman; Hubert Amu; Etsay Woldu Anbesu; Robert Ancuceanu; Fereshteh Ansari; Alireza Ansari-Moghaddam; Maxwell Hubert Antwi; Davood Anvari; Anayochukwu Edward Anyasodor; Muhammad Aqeel; Jalal Arabloo; Morteza Arab-Zozani; Olatunde Aremu; Hany Ariffin; Timur Aripov; Muhammad Arshad; Al Artaman; Judie Arulappan; Zatollah Asemi; Mohammad Asghari Jafarabadi; Tahira Ashraf; Prince Atorkey; Avinash Aujayeb; Marcel Ausloos; Atalel Fentahun Awedew; Beatriz Paulina Ayala Quintanilla; Temesgen Ayenew; Mohammed A Azab; Sina Azadnajafabad; Amirhossein Azari Jafari; Ghasem Azarian; Ahmed Y Azzam; Ashish D Badiye; Saeed Bahadory; Atif Amin Baig; Jennifer L Baker; Senthilkumar Balakrishnan; Maciej Banach; Till Winfried Bärnighausen; Francesco Barone-Adesi; Fabio Barra; Amadou Barrow; Masoud Behzadifar; Uzma Iqbal Belgaumi; Woldesellassie M Mequanint Bezabhe; Yihienew Mequanint Bezabih; Devidas S Bhagat; Akshaya Srikanth Bhagavathula; Nikha Bhardwaj; Pankaj Bhardwaj; Sonu Bhaskar; Krittika Bhattacharyya; Vijayalakshmi S Bhojaraja; Sadia Bibi; Ali Bijani; Antonio Biondi; Catherine Bisignano; Tone Bjørge; Archie Bleyer; Oleg Blyuss; Obasanjo Afolabi Bolarinwa; Srinivasa Rao Bolla; Dejana Braithwaite; Amanpreet Brar; Hermann Brenner; Maria Teresa Bustamante-Teixeira; Nadeem Shafique Butt; Zahid A Butt; Florentino Luciano Caetano Dos Santos; Yin Cao; Giulia Carreras; Ferrán Catalá-López; Francieli Cembranel; Ester Cerin; Achille Cernigliaro; Raja Chandra Chakinala; Soosanna Kumary Chattu; Vijay Kumar Chattu; Pankaj Chaturvedi; Odgerel Chimed-Ochir; Daniel Youngwhan Cho; Devasahayam J Christopher; Dinh-Toi Chu; Michael T Chung; Joao Conde; Sanda Cortés; Paolo Angelo Cortesi; Vera Marisa Costa; Amanda Ramos Cunha; Omid Dadras; Amare Belachew Dagnew; Saad M A Dahlawi; Xiaochen Dai; Lalit Dandona; Rakhi Dandona; Aso Mohammad Darwesh; José das Neves; Fernando Pio De la Hoz; Asmamaw Bizuneh Demis; Edgar Denova-Gutiérrez; Deepak Dhamnetiya; Mandira Lamichhane Dhimal; Meghnath Dhimal; Mostafa Dianatinasab; Daniel Diaz; Shirin Djalalinia; Huyen Phuc Do; Saeid Doaei; Fariba Dorostkar; Francisco Winter Dos Santos Figueiredo; Tim Robert Driscoll; Hedyeh Ebrahimi; Sahar Eftekharzadeh; Maha El Tantawi; Hassan El-Abid; Iffat Elbarazi; Hala Rashad Elhabashy; Muhammed Elhadi; Shaimaa I El-Jaafary; Babak Eshrati; Sharareh Eskandarieh; Firooz Esmaeilzadeh; Arash Etemadi; Sayeh Ezzikouri; Mohammed Faisaluddin; Emerito Jose A Faraon; Jawad Fares; Farshad Farzadfar; Abdullah Hamid Feroze; Simone Ferrero; Lorenzo Ferro Desideri; Irina Filip; Florian Fischer; James L Fisher; Masoud Foroutan; Takeshi Fukumoto; Peter Andras Gaal; Mohamed M Gad; Muktar A Gadanya; Silvano Gallus; Mariana Gaspar Fonseca; Abera Getachew Obsa; Mansour Ghafourifard; Ahmad Ghashghaee; Nermin Ghith; Maryam Gholamalizadeh; Syed Amir Gilani; Themba G Ginindza; Abraham Tamirat T Gizaw; James C Glasbey; Mahaveer Golechha; Pouya Goleij; Ricardo Santiago Gomez; Sameer Vali Gopalani; Giuseppe Gorini; Houman Goudarzi; Giuseppe Grosso; Mohammed Ibrahim Mohialdeen Gubari; Maximiliano Ribeiro Guerra; Avirup Guha; D Sanjeeva Gunasekera; Bhawna Gupta; Veer Bala Gupta; Vivek Kumar Gupta; Reyna Alma Gutiérrez; Nima Hafezi-Nejad; Mohammad Rifat Haider; Arvin Haj-Mirzaian; Rabih Halwani; Randah R Hamadeh; Sajid Hameed; Samer Hamidi; Asif Hanif; Shafiul Haque; Netanja I Harlianto; Josep Maria Haro; Ahmed I Hasaballah; Soheil Hassanipour; Roderick J Hay; Simon I Hay; Khezar Hayat; Golnaz Heidari; Mohammad Heidari; Brenda Yuliana Herrera-Serna; Claudiu Herteliu; Kamal Hezam; Ramesh Holla; Md Mahbub Hossain; Mohammad Bellal Hossain Hossain; Mohammad-Salar Hosseini; Mostafa Hosseini; Mehdi Hosseinzadeh; Mihaela Hostiuc; Sorin Hostiuc; Mowafa Househ; Mohamed Hsairi; Junjie Huang; Fernando N Hugo; Rabia Hussain; Nawfal R Hussein; Bing-Fang Hwang; Ivo Iavicoli; Segun Emmanuel Ibitoye; Fidelia Ida; Kevin S Ikuta; Olayinka Stephen Ilesanmi; Irena M Ilic; Milena D Ilic; Lalu Muhammad Irham; Jessica Y Islam; Rakibul M Islam; Sheikh Mohammed Shariful Islam; Nahlah Elkudssiah Ismail; Gaetano Isola; Masao Iwagami; Louis Jacob; Vardhmaan Jain; Mihajlo B Jakovljevic; Tahereh Javaheri; Shubha Jayaram; Seyed Behzad Jazayeri; Ravi Prakash Jha; Jost B Jonas; Tamas Joo; Nitin Joseph; Farahnaz Joukar; Mikk Jürisson; Ali Kabir; Danial Kahrizi; Leila R Kalankesh; Rohollah Kalhor; Feroze Kaliyadan; Yogeshwar Kalkonde; Ashwin Kamath; Nawzad Kameran Al-Salihi; Himal Kandel; Neeti Kapoor; André Karch; Ayele Semachew Kasa; Srinivasa Vittal Katikireddi; Joonas H Kauppila; Taras Kavetskyy; Sewnet Adem Kebede; Pedram Keshavarz; Mohammad Keykhaei; Yousef Saleh Khader; Rovshan Khalilov; Gulfaraz Khan; Maseer Khan; Md Nuruzzaman Khan; Moien A B Khan; Young-Ho Khang; Amir M Khater; Maryam Khayamzadeh; Gyu Ri Kim; Yun Jin Kim; Adnan Kisa; Sezer Kisa; Katarzyna Kissimova-Skarbek; Jacek A Kopec; Rajasekaran Koteeswaran; Parvaiz A Koul; Sindhura Lakshmi Koulmane Laxminarayana; Ai Koyanagi; Burcu Kucuk Bicer; Nuworza Kugbey; G Anil Kumar; Narinder Kumar; Nithin Kumar; Om P Kurmi; Tezer Kutluk; Carlo La Vecchia; Faris Hasan Lami; Iván Landires; Paolo Lauriola; Sang-Woong Lee; Shaun Wen Huey Lee; Wei-Chen Lee; Yo Han Lee; James Leigh; Elvynna Leong; Jiarui Li; Ming-Chieh Li; Xuefeng Liu; Joana A Loureiro; Raimundas Lunevicius; Muhammed Magdy Abd El Razek; Azeem Majeed; Alaa Makki; Shilpa Male; Ahmad Azam Malik; Mohammad Ali Mansournia; Santi Martini; Seyedeh Zahra Masoumi; Prashant Mathur; Martin McKee; Ravi Mehrotra; Walter Mendoza; Ritesh G Menezes; Endalkachew Worku Mengesha; Mohamed Kamal Mesregah; Tomislav Mestrovic; Junmei Miao Jonasson; Bartosz Miazgowski; Tomasz Miazgowski; Irmina Maria Michalek; Ted R Miller; Hamed Mirzaei; Hamid Reza Mirzaei; Sanjeev Misra; Prasanna Mithra; Masoud Moghadaszadeh; Karzan Abdulmuhsin Mohammad; Yousef Mohammad; Mokhtar Mohammadi; Seyyede Momeneh Mohammadi; Abdollah Mohammadian-Hafshejani; Shafiu Mohammed; Nagabhishek Moka; Ali H Mokdad; Mariam Molokhia; Lorenzo Monasta; Mohammad Ali Moni; Mohammad Amin Moosavi; Yousef Moradi; Paula Moraga; Joana Morgado-da-Costa; Shane Douglas Morrison; Abbas Mosapour; Sumaira Mubarik; Lillian Mwanri; Ahamarshan Jayaraman Nagarajan; Shankar Prasad Nagaraju; Chie Nagata; Mukhammad David Naimzada; Vinay Nangia; Atta Abbas Naqvi; Sreenivas Narasimha Swamy; Rawlance Ndejjo; Sabina O Nduaguba; Ionut Negoi; Serban Mircea Negru; Sandhya Neupane Kandel; Cuong Tat Nguyen; Huong Lan Thi Nguyen; Robina Khan Niazi; Chukwudi A Nnaji; Nurulamin M Noor; Virginia Nuñez-Samudio; Chimezie Igwegbe Nzoputam; Bogdan Oancea; Chimedsuren Ochir; Oluwakemi Ololade Odukoya; Felix Akpojene Ogbo; Andrew T Olagunju; Babayemi Oluwaseun Olakunde; Emad Omar; Ahmed Omar Bali; Abidemi E Emmanuel Omonisi; Sokking Ong; Obinna E Onwujekwe; Hans Orru; Doris V Ortega-Altamirano; Nikita Otstavnov; Stanislav S Otstavnov; Mayowa O Owolabi; Mahesh P A; Jagadish Rao Padubidri; Keyvan Pakshir; Adrian Pana; Demosthenes Panagiotakos; Songhomitra Panda-Jonas; Shahina Pardhan; Eun-Cheol Park; Eun-Kee Park; Fatemeh Pashazadeh Kan; Harsh K Patel; Jenil R Patel; Siddhartha Pati; Sanjay M Pattanshetty; Uttam Paudel; David M Pereira; Renato B Pereira; Arokiasamy Perianayagam; Julian David Pillay; Saeed Pirouzpanah; Farhad Pishgar; Indrashis Podder; Maarten J Postma; Hadi Pourjafar; Akila Prashant; Liliana Preotescu; Mohammad Rabiee; Navid Rabiee; Amir Radfar; Raghu Anekal Radhakrishnan; Venkatraman Radhakrishnan; Ata Rafiee; Fakher Rahim; Shadi Rahimzadeh; Mosiur Rahman; Muhammad Aziz Rahman; Amir Masoud Rahmani; Nazanin Rajai; Aashish Rajesh; Ivo Rakovac; Pradhum Ram; Kiana Ramezanzadeh; Kamal Ranabhat; Priyanga Ranasinghe; Chythra R Rao; Sowmya J Rao; Reza Rawassizadeh; Mohammad Sadegh Razeghinia; Andre M N Renzaho; Negar Rezaei; Nima Rezaei; Aziz Rezapour; Thomas J Roberts; Jefferson Antonio Buendia Rodriguez; Peter Rohloff; Michele Romoli; Luca Ronfani; Gholamreza Roshandel; Godfrey M Rwegerera; Manjula S; Siamak Sabour; Basema Saddik; Umar Saeed; Amirhossein Sahebkar; Harihar Sahoo; Sana Salehi; Marwa Rashad Salem; Hamideh Salimzadeh; Mehrnoosh Samaei; Abdallah M Samy; Juan Sanabria; Senthilkumar Sankararaman; Milena M Santric-Milicevic; Yaeesh Sardiwalla; Arash Sarveazad; Brijesh Sathian; Monika Sawhney; Mete Saylan; Ione Jayce Ceola Schneider; Mario Sekerija; Allen Seylani; Omid Shafaat; Zahra Shaghaghi; Masood Ali Shaikh; Erfan Shamsoddin; Mohammed Shannawaz; Rajesh Sharma; Aziz Sheikh; Sara Sheikhbahaei; Adithi Shetty; Jeevan K Shetty; Pavanchand H Shetty; Kenji Shibuya; Reza Shirkoohi; K M Shivakumar; Velizar Shivarov; Soraya Siabani; Sudeep K Siddappa Malleshappa; Diego Augusto Santos Silva; Jasvinder A Singh; Yitagesu Sintayehu; Valentin Yurievich Skryabin; Anna Aleksandrovna Skryabina; Matthew J Soeberg; Ahmad Sofi-Mahmudi; Houman Sotoudeh; Paschalis Steiropoulos; Kurt Straif; Ranjeeta Subedi; Mu'awiyyah Babale Sufiyan; Iyad Sultan; Saima Sultana; Daniel Sur; Viktória Szerencsés; Miklós Szócska; Rafael Tabarés-Seisdedos; Takahiro Tabuchi; Hooman Tadbiri; Amir Taherkhani; Ken Takahashi; Iman M Talaat; Ker-Kan Tan; Vivian Y Tat; Bemnet Amare A Tedla; Yonas Getaye Tefera; Arash Tehrani-Banihashemi; Mohamad-Hani Temsah; Fisaha Haile Tesfay; Gizachew Assefa Tessema; Rekha Thapar; Aravind Thavamani; Viveksandeep Thoguluva Chandrasekar; Nihal Thomas; Hamid Reza Tohidinik; Mathilde Touvier; Marcos Roberto Tovani-Palone; Eugenio Traini; Bach Xuan Tran; Khanh Bao Tran; Mai Thi Ngoc Tran; Jaya Prasad Tripathy; Biruk Shalmeno Tusa; Irfan Ullah; Saif Ullah; Krishna Kishore Umapathi; Bhaskaran Unnikrishnan; Era Upadhyay; Marco Vacante; Maryam Vaezi; Sahel Valadan Tahbaz; Diana Zuleika Velazquez; Massimiliano Veroux; Francesco S Violante; Vasily Vlassov; Bay Vo; Victor Volovici; Giang Thu Vu; Yasir Waheed; Richard G Wamai; Paul Ward; Yi Feng Wen; Ronny Westerman; Andrea Sylvia Winkler; Lalit Yadav; Seyed Hossein Yahyazadeh Jabbari; Lin Yang; Sanni Yaya; Taklo Simeneh Yazie Yazie; Yigizie Yeshaw; Naohiro Yonemoto; Mustafa Z Younis; Zabihollah Yousefi; Chuanhua Yu; Deniz Yuce; Ismaeel Yunusa; Vesna Zadnik; Fariba Zare; Mikhail Sergeevich Zastrozhin; Anasthasia Zastrozhina; Jianrong Zhang; Chenwen Zhong; Linghui Zhou; Cong Zhu; Arash Ziapour; Ivan R Zimmermann; Christina Fitzmaurice; Christopher J L Murray; Lisa M Force
Journal:  JAMA Oncol       Date:  2022-03-01       Impact factor: 31.777

Review 6.  Metastatic disease in head & neck oncology.

Authors:  Paolo Pisani; Mario Airoldi; Anastasia Allais; Paolo Aluffi Valletti; Mariapina Battista; Marco Benazzo; Roberto Briatore; Salvatore Cacciola; Salvatore Cocuzza; Andrea Colombo; Bice Conti; Alberto Costanzo; Laura Della Vecchia; Nerina Denaro; Cesare Fantozzi; Danilo Galizia; Massimiliano Garzaro; Ida Genta; Gabriela Alejandra Iasi; Marco Krengli; Vincenzo Landolfo; Giovanni Vittorio Lanza; Mauro Magnano; Maurizio Mancuso; Roberto Maroldi; Laura Masini; Marco Carlo Merlano; Marco Piemonte; Silvia Pisani; Adriele Prina-Mello; Luca Prioglio; Maria Gabriella Rugiu; Felice Scasso; Agostino Serra; Guido Valente; Micol Zannetti; Angelo Zigliani
Journal:  Acta Otorhinolaryngol Ital       Date:  2020-04       Impact factor: 2.124

Review 7.  Early death among head and neck cancer patients.

Authors:  Lovisa Farnebo; Nea Malila; Antti Mäkitie; Göran Laurell
Journal:  Curr Opin Otolaryngol Head Neck Surg       Date:  2016-04       Impact factor: 2.064

8.  Impact of comorbidity on short-term mortality and overall survival of head and neck cancer patients.

Authors:  Frank R Datema; Marciano B Ferrier; Marc P van der Schroeff; Robert J Baatenburg de Jong
Journal:  Head Neck       Date:  2010-06       Impact factor: 3.147

9.  Development and Validation of Nomograms for Predicting Delayed Postoperative Radiotherapy Initiation in Head and Neck Squamous Cell Carcinoma.

Authors:  Dylan A Levy; Hong Li; Katherine R Sterba; Chanita Hughes-Halbert; Graham W Warren; Brian Nussenbaum; Anthony J Alberg; Terry A Day; Evan M Graboyes
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2020-05-01       Impact factor: 6.223

10.  Early mortality after diagnosis of cancer of the head and neck - A population-based nationwide study.

Authors:  Charbél Talani; Antti Mäkitie; Martin Beran; Erik Holmberg; Göran Laurell; Lovisa Farnebo
Journal:  PLoS One       Date:  2019-10-02       Impact factor: 3.240

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