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Fatal Infections Among Cancer Patients: A Population-Based Study in the United States

INTRODUCTION: Cancer patients are prone to infections, but the mortality of fatal infections remains unclear. Understanding the patterns of fatal infections in patients with cancer is imperative. In this study, we report the characteristics, incidence, and predictive risk factors of fatal infections...

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Autores principales: Zheng, Yongqiang, Chen, Ying, Yu, Kaixu, Yang, Yun, Wang, Xindi, Yang, Xue, Qian, Jiaxin, Liu, Ze-Xian, Wu, Bian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116465/
https://www.ncbi.nlm.nih.gov/pubmed/33761114
http://dx.doi.org/10.1007/s40121-021-00433-7
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author Zheng, Yongqiang
Chen, Ying
Yu, Kaixu
Yang, Yun
Wang, Xindi
Yang, Xue
Qian, Jiaxin
Liu, Ze-Xian
Wu, Bian
author_facet Zheng, Yongqiang
Chen, Ying
Yu, Kaixu
Yang, Yun
Wang, Xindi
Yang, Xue
Qian, Jiaxin
Liu, Ze-Xian
Wu, Bian
author_sort Zheng, Yongqiang
collection PubMed
description INTRODUCTION: Cancer patients are prone to infections, but the mortality of fatal infections remains unclear. Understanding the patterns of fatal infections in patients with cancer is imperative. In this study, we report the characteristics, incidence, and predictive risk factors of fatal infections among a population-based cancer cohort. METHODS: A total of 8,471,051 patients diagnosed with cancer between 1975 and 2016 were retrospectively identified from the Surveillance, Epidemiology, and End Results (SEER) program. The primary outcome was dying from fatal infections. Mortality rates and standardized mortality ratios (SMRs) adjusted for age, sex, race, and calendar year were calculated to characterize the relative risks of dying from fatal infections and to compare with the general population. Furthermore, cumulative mortality rates and the Cox regression models were applied to identify predictive risk factors of fatal infections. RESULTS: In cancer patients, the mortality rate of fatal infections was 260.1/100,000 person-years, nearly three times that of the general population [SMR, 2.92; 95% (confidence interval) CI 2.91–2.94]. Notably, a decreasing trend in mortality rate of fatal infections was observed in recent decades. SMRs of fatal infections were highest in Kaposi sarcoma (SMR, 162.2; 95% CI 159.4–165.1), liver cancer (SMR, 30.9; 95% CI 30.0–31.8), acute lymphocytic leukemia (SMR, 19.1; 95% CI 17.0–21.4), and acute myeloid leukemia (SMR, 13.3; 95% CI 12.4–14.3). Patients aged between 20 and 39 years old exhibited a higher cumulative mortality rate in the first few years after cancer diagnosis, whereas the cumulative mortality rate of those > 80 years old was rapidly increasing and became the highest approximately 3 years post-cancer diagnosis. Predictive risk factors of dying from fatal infections in cancer patients were the age of 20–39 or > 80 years, male sex, black race, diagnosed with cancer before 2000, unmarried status, advanced cancer stage, and not receiving surgery and radiotherapy, but receiving chemotherapy. CONCLUSION: Cancer patients were at high risks of dying from infectious diseases. Certain groups of cancer patients, including those aged between 20 and 39 or > 80 years, as well as those receiving chemotherapy, should be sensitized to the risk of fatal infections. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-021-00433-7.
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spelling pubmed-81164652021-05-14 Fatal Infections Among Cancer Patients: A Population-Based Study in the United States Zheng, Yongqiang Chen, Ying Yu, Kaixu Yang, Yun Wang, Xindi Yang, Xue Qian, Jiaxin Liu, Ze-Xian Wu, Bian Infect Dis Ther Original Research INTRODUCTION: Cancer patients are prone to infections, but the mortality of fatal infections remains unclear. Understanding the patterns of fatal infections in patients with cancer is imperative. In this study, we report the characteristics, incidence, and predictive risk factors of fatal infections among a population-based cancer cohort. METHODS: A total of 8,471,051 patients diagnosed with cancer between 1975 and 2016 were retrospectively identified from the Surveillance, Epidemiology, and End Results (SEER) program. The primary outcome was dying from fatal infections. Mortality rates and standardized mortality ratios (SMRs) adjusted for age, sex, race, and calendar year were calculated to characterize the relative risks of dying from fatal infections and to compare with the general population. Furthermore, cumulative mortality rates and the Cox regression models were applied to identify predictive risk factors of fatal infections. RESULTS: In cancer patients, the mortality rate of fatal infections was 260.1/100,000 person-years, nearly three times that of the general population [SMR, 2.92; 95% (confidence interval) CI 2.91–2.94]. Notably, a decreasing trend in mortality rate of fatal infections was observed in recent decades. SMRs of fatal infections were highest in Kaposi sarcoma (SMR, 162.2; 95% CI 159.4–165.1), liver cancer (SMR, 30.9; 95% CI 30.0–31.8), acute lymphocytic leukemia (SMR, 19.1; 95% CI 17.0–21.4), and acute myeloid leukemia (SMR, 13.3; 95% CI 12.4–14.3). Patients aged between 20 and 39 years old exhibited a higher cumulative mortality rate in the first few years after cancer diagnosis, whereas the cumulative mortality rate of those > 80 years old was rapidly increasing and became the highest approximately 3 years post-cancer diagnosis. Predictive risk factors of dying from fatal infections in cancer patients were the age of 20–39 or > 80 years, male sex, black race, diagnosed with cancer before 2000, unmarried status, advanced cancer stage, and not receiving surgery and radiotherapy, but receiving chemotherapy. CONCLUSION: Cancer patients were at high risks of dying from infectious diseases. Certain groups of cancer patients, including those aged between 20 and 39 or > 80 years, as well as those receiving chemotherapy, should be sensitized to the risk of fatal infections. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40121-021-00433-7. Springer Healthcare 2021-03-24 2021-06 /pmc/articles/PMC8116465/ /pubmed/33761114 http://dx.doi.org/10.1007/s40121-021-00433-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Zheng, Yongqiang
Chen, Ying
Yu, Kaixu
Yang, Yun
Wang, Xindi
Yang, Xue
Qian, Jiaxin
Liu, Ze-Xian
Wu, Bian
Fatal Infections Among Cancer Patients: A Population-Based Study in the United States
title Fatal Infections Among Cancer Patients: A Population-Based Study in the United States
title_full Fatal Infections Among Cancer Patients: A Population-Based Study in the United States
title_fullStr Fatal Infections Among Cancer Patients: A Population-Based Study in the United States
title_full_unstemmed Fatal Infections Among Cancer Patients: A Population-Based Study in the United States
title_short Fatal Infections Among Cancer Patients: A Population-Based Study in the United States
title_sort fatal infections among cancer patients: a population-based study in the united states
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116465/
https://www.ncbi.nlm.nih.gov/pubmed/33761114
http://dx.doi.org/10.1007/s40121-021-00433-7
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