Postoperative Delirium in Lung Cancer Anatomical Resection—Analysis of Risk Factors and Prognosis

Author(s):  
Hironori Ishibashi ◽  
Ryo Wakejima ◽  
Ayaka Asakawa ◽  
Yusuke Sugita ◽  
Yuya Ishikawa ◽  
...  
PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0223917 ◽  
Author(s):  
Kazuki Hayashi ◽  
Makoto Motoishi ◽  
Satoru Sawai ◽  
Kanna Horimoto ◽  
Jun Hanaoka

2019 ◽  
Author(s):  
A Tufman ◽  
S Schneiderbauer ◽  
D Kauffmann-Guerrero ◽  
F Manapov ◽  
C Schneider ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Arissara Iamaroon ◽  
Titima Wongviriyawong ◽  
Patumporn Sura-arunsumrit ◽  
Nattikan Wiwatnodom ◽  
Nichakarn Rewuri ◽  
...  

2019 ◽  
Vol 17 ◽  
pp. 100251 ◽  
Author(s):  
Ben Wang ◽  
Lijie Chen ◽  
Chongan Huang ◽  
Jialiang Lin ◽  
Xiangxiang Pan ◽  
...  

Surgery Today ◽  
2021 ◽  
Author(s):  
Toshiki Takemoto ◽  
Junichi Soh ◽  
Shuta Ohara ◽  
Toshio Fujino ◽  
Takamasa Koga ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C.C Van 't Klooster ◽  
P.M Ridker ◽  
N.R Cook ◽  
J.G.J.V Aerts ◽  
J Westerink ◽  
...  

Abstract Background As treatment for cardiovascular disease (CVD) has improved substantially over the last decades, more patients survive acute CVD manifestations and are at risk for developing cancer as well as recurrent CVD. Due to similar risk factors, including smoking and obesity, patients with established CVD are at higher risk for cancer. Objectives The aim of this study was to develop and externally validate prediction models for the estimation of 10-year and lifetime risk for total, colorectal, and lung cancer in patients with established CVD. Methods Data from patients with established CVD from the UCC-SMART prospective cohort study (N=7,280) were used for model development, and data from the CANTOS trial (N=9,322) were used for model validation. Predictors were selected based on previously published cancer risk prediction models or cancer risk factors, easy clinical availability, and availability in the derivation dataset (UCC-SMART cohort). A Fine and Gray competing risk-adjusted lifetime model was developed for total, colorectal, and lung cancer. Results Selected predictors were age, sex, smoking status, weight, height, alcohol use, antiplatelet use, diabetes mellitus, and C-reactive protein. External calibration for 4-year risks of the total cancer, colorectal cancer, and lung cancer models was good (Figure 1), and C-statistics were 0.63–0.74 in the CANTOS trial population. Median predicted lifetime risks in CANTOS were 26% (range 1%-52%) for total cancer, 4% (range 0%-13%) for colorectal cancer, and 5% (range 0%-37%) for lung cancer. Conclusions Lifetime and 10-year risk of cancer can be estimated with easy to measure variables in patients with established CVD, showing a wide distribution of predicted lifetime risks for total cancer and lung cancer. Using these lifetime models in clinical practice could increase understanding of cancer risk and aid in emphasizing healthy lifestyle changes. Figure 1. Calibration plots of cancer models Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): University Medical Center; Additional funding: CANTOS trial was funded by Novartis Pharmaceuticals.


Author(s):  
Vinod K. Ramani ◽  
Ganesha D. V. ◽  
Radheshyam Naik

Abstract Introduction Clinical cancer can arise from heterogenous pathways through various genetic mutations. Although we cannot predict the timeline by which an individual will develop cancer, certain risk assessment tools can be used among high-risk groups for focusing the preventive activities. As primary level of cancer prevention, healthy lifestyle approach is being promoted. The etiological factors for lung cancer include by-products of industrialization and air pollution. We need to factor the increase in household air pollution as well. Methods “PubMed” database and Google search engines were used for searching the relevant articles. Search terms with Boolean operators used include “Cancer prevention,” “Missed opportunities in cancer causation,” and “incidence of risk factors.” This review includes 20 studies and other relevant literature that address the opportunities for cancer prevention. Body The narrative describes the association between many of the risk factors and development of cancer. This includes tobacco, alcohol, infections, air pollution, physical inactivity, diet, obesity, screening and preventive strategies, chemoprevention, biomarkers of carcinogenesis, and factors that prolong the diagnosis of cancer. Discussion Reports from basic science research provide evidence on the potential of biologically active food components and pharmacological agents for mitigating the risk of cancer and its progression. However, some reports from observational studies and randomized trials have been inconsistent. We need to recognize the impact of sociodemographic factors such as age, sex, ethnicity, culture, and comorbid illness on preventive interventions. Spiral computed tomographic scan is a robust tool for early detection of lung cancer. Conclusion Infectious etiology for specific cancers provides opportunities for prevention and treatment. The complex interplay between man and microbial flora needs to be dissected, for understanding the pathogenesis of relevant malignancies. For reducing the morbidity of cancer, we need to focus on prevention as a priority strategy and intervene early during the carcinogenic process.


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