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1.
J Geriatr Oncol ; 12(3): 416-421, 2021 04.
Article in English | MEDLINE | ID: mdl-32980269

ABSTRACT

BACKGROUND: There is limited information on the frequency of complications among older adults after oncological thoracic surgery in the modern era. We hypothesized that morbidity and mortality in older adults with lung cancer undergoing lobectomy is low and different than that of younger patients undergoing thoracic surgery. METHODS: All patients undergoing lobectomy at a large volume academic center between May 2016 and May 2019 were included. Patients were prospectively monitored to grade postoperative morbidity by organ system, based on the Clavien-Dindo classification. Patients were divided into two groups: Group 1 included patients 65-91 years of age, and Group 2 included those <65 years. RESULTS: Of 680 lobectomies in 673 patients, 414(61%) were older than 65 years of age (group 1). Median age at surgery was 68 years (20-91). Median hospital stay was 4 days (1-38) and longer in older adults. Older adults experienced higher rates of grade II and IV complications, mostly driven by an increased incidence of delirium, atrial fibrillation, prolonged air leak, respiratory failure and urinary retention. In this modern cohort, there was only 1 stroke (0.1%), and delirium was reduced to 7%. Patients undergoing minimally invasive (MI) surgery had a lower rate of Grade IV life-threatening complications. Older adults were more likely to be discharged to a rehabilitation facility, however this difference also disappeared with MI surgical procedures. CONCLUSIONS: Current morbidity of older adults undergoing lobectomy for cancer is low and is different than that of younger patients. Thoracotomy may be associated with postoperative complications in these patients. Our findings suggest the need to consider MI approaches and broad-based, geriatric-focused perioperative management of older adults undergoing lobectomy.


Subject(s)
Lung Neoplasms , Quality Improvement , Aged , Humans , Length of Stay , Lung Neoplasms/surgery , Morbidity , Postoperative Complications/epidemiology , Retrospective Studies , Thoracic Surgery, Video-Assisted , Thoracotomy
2.
J Thorac Cardiovasc Surg ; 158(4): 1248-1254.e1, 2019 10.
Article in English | MEDLINE | ID: mdl-31248631

ABSTRACT

BACKGROUND: It is estimated that 20% of lung cancer cases in the United States are among never smokers, yet current screening recommendations only include a small subset of high-risk patients. In this study, 2 models were used to predict the risk of developing lung cancer in subgroups of never smoking patients with additional risk variables. METHODS: The Liverpool Lung Project (LLP) and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) were 2 models used to calculate risk of developing lung cancer. Risk was calculated as a function of age for developing lung cancer within the next 5 to 10 years. RESULTS: PLCO estimated a peak risk of 16.20% at age 75 for 30-pack-year smokers with a first-degree relative with lung cancer. LLP estimated a peak risk of 7.3% over the next 5 years at age 79 for men with 30-pack-year and a first-degree relative with early-onset lung cancer (<60 years). Female never smokers with cumulative variables other than smoking had a peak risk of 3.40% for age 74 to 75 years. In contrast, women with only 30-pack-year smoking history and no other variable had a peak risk of 2.20% at age 74 to 75 years. CONCLUSIONS: Models such as LLP and PLCO might be used to identify risk for patients who would otherwise not receive lung cancer screening. These individual risk assessments can be used by patients and providers to assess if one is at substantial risk for developing lung cancer.


Subject(s)
Cigarette Smoking/adverse effects , Decision Support Techniques , Lung Neoplasms/epidemiology , Non-Smokers , Smokers , Age Factors , Aged , Early Detection of Cancer , Female , Genetic Predisposition to Disease , Heredity , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/genetics , Male , Middle Aged , Pedigree , Predictive Value of Tests , Risk Assessment , Risk Factors , Sex Factors , Time Factors
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