Risk factors for postoperative complications in the elderly with lung cancer

2013 ◽  
Vol 21 (3) ◽  
pp. 313-318 ◽  
Author(s):  
Fumihiro Ogawa ◽  
Guoqin Wang ◽  
Yoshio Matsui ◽  
Hidenori Hara ◽  
Akira Iyoda ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Kiyoko Fukui ◽  
Masaki Fujioka ◽  
Kazumi Yamasaki ◽  
Sho Yamakawa ◽  
Haruka Matsuo ◽  
...  

Background. The frequency of surgery involving elderly patients has been increasing. The use of free tissue transfers in the elderly has been examined previously (Howard et al., 2005, Hwang et al., 2016, Grammatica et al., 2015, Serletti et al., 2000, and Sierakowski et al., 2017), whereas there have not been any such studies of plastic surgery procedures. We evaluated the risk factors for complications after plastic surgery procedures performed under general anesthesia in patients aged ≥75 years. Methods. The cases of patients aged ≥75 years who underwent plastic surgery procedures under general anesthesia at the Department of Plastic and Reconstructive Surgery, National Hospital Organization Nagasaki Medical Center, between 2009 and 2016 were reviewed retrospectively. Multiple logistic regression analysis was used to identify the risk factors for postoperative complications. Results. Two hundred and sixty-three cases were reviewed. Complications were seen in 137 patients. Age was not predictive of complications. The risk factors included a serum albumin level of <2.8 g/dl (odds ratio (OR): 2.96), an operative time of ≥120 min (OR: 6.22), and an American Society of Anesthesiologists performance status of ≥3 (OR: 2.39). Conclusions. Age is not contraindication for surgery in the elderly. It is important to assess comorbidities and perform surgical procedures as soon as possible to shorten the surgical period.


2017 ◽  
Vol 12 (1) ◽  
pp. S732-S733
Author(s):  
Yuzhao Wang ◽  
Nan Wu ◽  
Jingfeng Chen ◽  
Qingfeng Zheng ◽  
Shi Yan ◽  
...  

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nozomu Motono ◽  
Masahito Ishikawa ◽  
Shun Iwai ◽  
Yoshihito Iijima ◽  
Katsuo Usuda ◽  
...  

Abstract Background The risk factors for postoperative complications after pulmonary resection in patients with non-small cell lung cancer (NSCLC) have not been elucidated. Methods Clinical data of 956 patients with NSCLC were analyzed. Patient factors such as sex, age, comorbidities, smoking history, respiratory function, and the lobe involved in lung cancer and operative factors such as operative approach and operative procedures were collected and analyzed. Results Male sex (odds ratio [OR]: 1.73, 95% confidence interval [CI]: 1.09–2.75, p = 0.01), coexistence of asthma (OR 2.68, 95% CI 1.19–6.02, p = 0.01), low percentage of forced expiratory volume in 1 s (FEV1) (OR 1.41, 95% CI 1.02–1.95, p = 0.03), and lobectomy or greater resection (OR 2.47, 95% CI 1.66–3.68, p < 0.01) were identified as significant risk factors for postoperative complications. Male sex (OR 1.98; 95% CI 1.03–3.81, p = 0.03) and complete video-assisted thoracic surgery and robot-assisted thoracic surgery (OR 1.64; 95% CI 1.09–2.45; p = 0.01) were identified as significant risk factors for postoperative air leakage. Coexistence of asthma (OR 9.97; 95% CI 3.66–27.38; p < 0.01) was identified as a significant risk factor for postoperative atelectasis or pneumonia. Lobectomy or greater resection (OR 19.71; 95% CI 2.70–143.57; p < 0.01) was identified as a significant risk factor for postoperative arrhythmia. Conclusion Male sex, coexistence of asthma, low percentage of FEV1, and operative procedure were significant risk factors for postoperative complications. Furthermore, risk factors varied according to postoperative complications.


2019 ◽  
Author(s):  
Songjing Chen ◽  
Sizhu Wu

BACKGROUND Lung cancer is one of the most dangerous malignant tumors to human health, which morbidity and mortality are growing fastest, especially in the elderly. With rapid growth of the elderly population in recent years, the lung cancer prevention and control is more and more serious. OBJECTIVE The pathogenesis of lung cancer is a complex process involving a variety of risk factors. This study aims at identifying lung cancer risk factors of the elderly using deep learning method. METHODS Based on open access data, we integrated multidisciplinary risk factors together, which included behavioral risk factors, disease history factors, environmental factors, demography factors and so on. We conducted data preprocessing work of these integrated data. Then deep neural network (DNN) models were trained of stratified elderly population. Risk factors of different stratification were extracted from these DNN models. Finally, quantitative analysis were conducted to identify risk factors of different groups. RESULTS The proposed method identified risk factors quantitatively of lung cancer incidence in different stratified elderly populations. Smoking was the leading cause of lung cancer incidence in the elderly. And men ≥65 years were more sensitive to smoking frequency than women. Cancer history played an important role in the incidence of lung cancer. Lung cancer incidence decreased more obviously in men than in women with stop smoking, especially non-small cell lung cancer (NSCLC) in elderly men. CONCLUSIONS This study demonstrates a risk factor identifying method of lung cancer incidence quantitatively in the elderly. We adopt deep neural network method in different stratified populations, which could reflect age and gender disparities. Our findings provide intervention indicators to prevent lung cancer in the elderly, especially in the older men.


2017 ◽  
Vol 53 (5) ◽  
pp. 980-986 ◽  
Author(s):  
Haruaki Hino ◽  
Takahiro Karasaki ◽  
Yukihiro Yoshida ◽  
Takeshi Fukami ◽  
Atsushi Sano ◽  
...  

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