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1.
J Cancer ; 9(15): 2744-2750, 2018.
Article in English | MEDLINE | ID: mdl-30087716

ABSTRACT

Purpose: Age at diagnosis has been identified as a major determinant of thyroid cancer-specific survival. But the cut-off value for age was controversial. The interaction among gender, age and histologic subtypes needed to be answered. Methods: We identified 59,892 thyroid cancer (TC) patients from the Surveillance, Epidemiology, and End Results (SEER) database. We divided the patients into the following three groups according to age: 20-44 years (young), 45-64 years (middle-aged), and ≥ 65 years (elderly). Logistic regression model was used to identify factors relating to prognosis in elderly patients. Multivariable Cox regression model identified potential prognostic factors. All statistical tests were two-sided. Results: Elderly patients had significantly worse prognosis than the other two groups, P=0.001. Elderly patients had higher proportion of male gender, advanced tumor grade, follicular subtype and advanced tumor stage. There was no survival difference for elderly patients to receive lobectomy and total thyroidectomy, P=0.852. Cox proportional hazards regression model showed that gender, marital status, histology, tumor grade, tumor size, TNM stage, surgery and radiotherapy were all independent prognostic factors in the multivariable analysis. Male patients with TC had worse prognosis than their female counterparts in differentiated tumor but not in undifferentiated tumor. There were more patients of larger tumor, advanced TNM stage and histologic subtypes in male patients. Conclusions: In conclusion, there were a series of factors contributing to the poor prognosis in elderly patients including clinic-pathologic factors and therapy selection. There was no survival difference for elderly patients to receive lobectomy and total thyroidectomy.

2.
Clin Cardiol ; 41(10): 1353-1357, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30141193

ABSTRACT

BACKGROUND: Atrial fibrillation (AF) is common in elderly patients and is associated with ischemic stroke. We sought to explore the current status of antithrombotic therapy in elderly patients with nonvalvular persistent AF. METHODS: This is a retrospective study and data were collected from the First Hospital of China Medical University. A total of 300 patients were enrolled from January 2015 to June 2017. Patients were divided into two groups: Group 1 (from 65-74) and Group 2 (older than 75). The status of antithrombotic treatment was recorded. Follow-ups were done at 7, 90 , 180, and 360 days after discharge. The occurrence of stroke was recorded. RESULTS: For 287 patients with a CHA2 DS2 -VASc score ≥2, 41.10% received oral anticoagulants (OAC), 27.20% received new oral anticoagulants (NOAC), 42.20% received antiplatelet agents, 16.70% received no antithrombotic treatment. From 2015 to the first half 2017, the ratio of OAC was 25.90%, 51.89%, and 49.30%, respectively; ratio of NOAC were 16.90%, 30.19%, and 39.10%, respectively. During the four times follow-up, percentage of patients who had good treatment compliance was 65%, 49.2%, 38.5%, and 25% stroke rate was 6.7% in total 300 patients. Logistic regression analysis showed age older than 75 (odds ratio [OR] 4.812), prior stroke (OR 4.109) were risk factors of stroke, and OAC treatment (OR 0.021) could prevent stroke. CONCLUSION: Ratio of antithrombotic therapy in elderly patients with nonvalvular persistent AF was low and drug compliance was poor. Age, prior history of stroke, and OAC treatment are the important predictive factors of stoke in elderly patients.


Subject(s)
Anticoagulants/administration & dosage , Atrial Fibrillation/complications , Platelet Aggregation Inhibitors/administration & dosage , Registries , Risk Assessment/methods , Stroke/prevention & control , Administration, Oral , Aged , Aged, 80 and over , Atrial Fibrillation/drug therapy , China/epidemiology , Dose-Response Relationship, Drug , Electrocardiography, Ambulatory , Female , Follow-Up Studies , Humans , Male , Morbidity/trends , Odds Ratio , Retrospective Studies , Risk Factors , Stroke/epidemiology , Stroke/etiology , Survival Rate/trends , Treatment Outcome
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