Incidence of and risk factors associated with lung metastases in newly diagnosed epithelial ovarian cancer with a look on prognosis after diagnosis: a population-based cohort study of the SEER database

Author(s):  
Jiaqin Xu ◽  
Iftikhar Hussain ◽  
Liuying Wang ◽  
Kui Deng ◽  
Liang Zhao ◽  
...  
2015 ◽  
Vol 25 (2) ◽  
pp. 193-202 ◽  
Author(s):  
Mariam AlHilli ◽  
Carrie Langstraat ◽  
Christine Tran ◽  
Janice Martin ◽  
Amy Weaver ◽  
...  

BackgroundTo identify patients at risk for postoperative morbidities, we evaluated indications and factors associated with 30-day readmission after epithelial ovarian cancer surgery.MethodsPatients undergoing primary surgery for epithelial ovarian cancer between January 2, 2003, and December 29, 2008, were evaluated. Univariable and multivariable logistic regression models were fit to identify factors associated with 30-day readmission. A parsimonious multivariable model was identified using backward and stepwise variable selection.ResultsIn total, 324 (60.2%) patients were stage III and 91 (16.9%) were stage IV. Of all 538 eligible patients, 104 (19.3%) were readmitted within 30 days. Cytoreduction to no residual disease was achieved in 300 (55.8%) patients, and 167 (31.0%) had measurable disease (≤1 cm residual disease). The most common indications for readmission were surgical site infection (SSI; 21.2%), pleural effusion/ascites management (14.4%), and thromboembolic events (12.5%). Multivariate analysis identified American Society of Anesthesiologists score of 3 or higher (odds ratio, 1.85; 95% confidence interval, 1.18–2.89;P= 0.007), ascites [1.76 (1.11–2.81);P= 0.02], and postoperative complications during initial admission [grade 3–5 vs none, 2.47 (1.19–5.16); grade 1 vs none, 2.19 (0.98–4.85); grade 2 vs none, 1.28 (0.74–2.21);P= 0.048] to be independently associated with 30-day readmission (c-index = 0.625). Chronic obstructive pulmonary disease was the sole predictor of readmission for SSI (odds ratio, 3.92; 95% confidence interval, 1.07–4.33;P= 0.04).ConclusionsClinically significant risk factors for 30-day readmission include American Society of Anesthesiologists score of 3 or higher, ascites and postoperative complications at initial admission. The SSI and pleural effusions/ascites are common indications for readmission. Systems can be developed to predict patients needing outpatient management, improve care, and reduce costs.


2020 ◽  
Vol Volume 12 ◽  
pp. 637-649 ◽  
Author(s):  
Chen-Yu Huang ◽  
Wen-Hsun Chang ◽  
Hsin-Yi Huang ◽  
Chao-Yu Guo ◽  
Yiing-Jenq Chou ◽  
...  

2021 ◽  
Author(s):  
Shuning Ding ◽  
Kaibo Guo ◽  
Linqin Wu ◽  
Dongxu Li ◽  
Peipei Wang ◽  
...  

Abstract Background: To evaluate the risk factors for the morbidity and prognosis of lung metastases (LM) in patients with newly diagnosed ovarian carcinoma (OC). Methods: Based on the Surveillance, Epidemiology, and End Results (SEER) dataset, OC patients from 2010 and 2016 were retrospectively analyzed. Risk factors for the morbidity of LM in OC patients and their survival were assessed by logistic regression analysis and Kaplan-Meier and Gray method, respectively. Cox regression analysis was performed to identify risk factors for the prognosis of OC patients with LM, and their prognostic potentials were further validated by two established nomograms.Results: There are 27,123 eligible OC patients were enrolled in the study, with the morbidity of LM at 5.61% (1,521/27,123). Logistic regression models illustrated that T3 stage [odds ratio (OR)=2.74, 95%CI=2.09-3.66, P<0.01], advanced N stage (OR=1.86, 95%CI=1.62-2.14, P<0.01), and the prevalence of bone metastasis (OR=3.78, 95%CI=2.79-5.11, P<0.01), brain metastasis (OR=4.67, 95%CI=2.50-8.63, P<0.01) and liver metastasis (OR=3.60, 95%CI=3.14-4.12, P<0.01) were all significantly correlated with the morbidity of LM in OC patients. Median survival for OC patients with LM was 11 months (interquartile range, 3 to 25 months). Cox regression analyses illustrated over 80 years of age [hazard ratio (HR)=2.52, 95%CI=2.33-2.72, P<0.01] and positive expression of cancer antigen 125 (CA-125, HR=1.63, 95%CI=1.47-1.82, P<0.01) were significantly correlated with the high mortality of LM, while chemotherapy (HR=0.62, 95%CI=0.59-0.65, P<0.01) was significantly correlated with the low mortality. Two nomograms were established to examine the concordance index (C-index), calibration curves, the area under the curve (AUC), decision curve analyses (DCAs) and clinical impact curves (CICs), which validated the prognostic potentials of identified risk factors in OC patients with LM. Conclusion: The population-based cohort study provides references for guiding clinical screening and individualized treatment of OC patients with LM.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dong Hun Suh ◽  
Kyungdo Han ◽  
Jin Woo Lee ◽  
Hak Jun Kim ◽  
Bongsung Kim ◽  
...  

AbstractWe conducted a nationwide population-based cohort study to identify the risk factors associated with failure of total ankle arthroplasty (TAA). We included 2,914 subjects who underwent primary TAA between January 1, 2010, and December 31, 2016, utilizing the database of the Korean National Health Insurance Service. Failure of TAA was defined as revision TAA or arthrodesis procedures. An increased risk of TAA failure was observed in the < 65 age group versus the ≥ 75 age group [adjusted hazard ratios (aHR) 2.273, 95% confidence interval (CI) 1.223–4.226 in the 60–64 age group; aHR 2.697, 95% CI 1.405–5.178 in the 55–59 age group; aHR 2.281, 95% CI 1.145–4.543 in the 50–54 age group; aHR 2.851, 95% CI 1.311–6.203 in the < 50 age group]. Conversely, the ≥ 65 age group displayed no increase in the risk of TAA failure. The risk of TAA failure was increased in the severely obese group with body mass index (BMI) of ≥ 30 kg/m2 versus the normal BMI group (aHR 1.632; 95% CI 1.036–2.570). This population-based longitudinal study demonstrated that age < 65 years and BMI of ≥ 30 kg/m2 were associated with increased risk of TAA failure.


BMJ Open ◽  
2016 ◽  
Vol 6 (6) ◽  
pp. e011398 ◽  
Author(s):  
Nusrat Homaira ◽  
Kylie-Ann Mallitt ◽  
Ju-Lee Oei ◽  
Lisa Hilder ◽  
Barbara Bajuk ◽  
...  

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