west china medical publishers
Keyword
  • Title
  • Author
  • Keyword
  • Abstract
Advance search
Advance search

Search

find Keyword "长期预后" 3 results
  • Research on the Correlation between Admission Serum Potassium Level and Long-term Prognosis in Patients with Unstable Angina

    ObjectiveTo investigate the relationship between admission serum potassium level and long-term prognosis in patients with unstable angina. MethodsWe studied the data of 1 412 patients with unstable angina who received coronary angiography examinations and completed the follow-up between July 2008 and September 2012. Serum potassium level within the first 24 hours after admission was collected. According to the serum potassium level, the patients were divided into three groups:those with a serum potassium level lower than 3.5 mmol/L, those with a level between 3.5 and 5.0 mmol/L and those with a level higher than 5.0 mmol/L. Then, we analyzed the relationship between admission serum potassium level and long-term prognosis in patients with unstable angina. ResultsThere was a U-shaped relationship between admission serum potassium level and long-term mortality that persisted after multivariable adjustment in patients with unstable angina. The all-cause mortality risk was the lowest in the group of patients with a potassium level of 3.5 to 5.0 mmol/L, whereas mortality was higher in patients with potassium level lower than 3.5 mmol/L and higher than 5.0 mmol/L [HR=1.89, 95%CI (1.13, 3.17), P=0.016; HR=1.64, 95%CI (0.40, 6.77), P=0.493]. Compared with patients with a serum potassium level between 3.5 and 5.0 mmol/L, the cardiovascular mortality risk was significantly higher in those patients with a potassium level lower than 3.5 mmol/L [HR=1.99, 95%CI (1.01, 3.94), P=0.048]. ConclusionThere is a U-shaped relationship between admission serum potassium level and long-term all-cause mortality rate, and the all-cause mortality rate and cardiovascular mortality risk was the lowest in patients with a potassium level between 3.5 and 5.0 mmol/L.

    Release date: Export PDF Favorites Scan
  • 心因性非痫性发作的精神相关长期预后

    探讨心因性非癫痫性癫痫发作(Psychogenic nonepileptic seizures,PNES)患者的长期心理状态、人格和健康相关生活质量(Health-related quality of life,HRQoL),并确定 PNES 预后的相关预测因子。选取在 Erlangen 癫痫中心的视频脑电图(VEEG)监测过程中被诊断为 PNES 的病例,病程 1~16 年。随访数据为心理症状问卷(贝克抑郁量表-II、症状清单-90-标准、分离症状问卷),人格特质(Freiburg 弗莱堡人格量表-修改版)和 HRQoL(36-项简短健康调查)。共纳入 52 例患者,平均年龄(40.5±14.0)岁,女性 75%,随访(5.3±4.2)年。在过去的 12 个月中,有 19 例(37%)患者 PNES 得到了缓解。持续性 PNES 患者在疾病首次发作(32.9 vs. 22.3 岁,P<0.01)和诊断(40.5 vs. 27.2 岁,P<0.001)时年龄较大,表现出较差的心理状态、较低的外向性人格和较低的生活满意度,同时 HRQoL 较非 PNES 患者更差。PNES 缓解患者在所有方面均处于正常范围内。PNES 的最佳缓解预测指标为发病时年龄较小和人格外向性。持续性 PNES 患者的预后较差,精神病理学指标较高且 HRQoL 较低,但可能因 PNES 的缓解而恢复正常。人格内向性高和年龄较大是持续性 PNES 的危险因素。

    Release date:2020-09-04 03:06 Export PDF Favorites Scan
  • Construction and verification of a long-term survival prediction model for rectal cancer-Nomogram

    ObjectiveBased on a large sample of data, study the factors affecting the survival and prognosis of patients with rectal cancer and construct a prediction model for the survival and prognosis.MethodsThe clinical data of 26 028 patients with rectal cancer were screened from the Surveillance, Epidemiology, and End Results (SEER) clinical database of the National Cancer Institute. Univariate and multivariate Cox proportional hazard regression analysis were used to screen related risk factors. Finally, the Nomogram prediction model was summarized and its accuracy was verified.ResultsResult of multivariate Cox proportional hazard regression analysis showed that the risk factors affecting the survival probability of rectal cancer included: age, gender, marital status, TMN staging, T staging, tumor size, degree of tissue differentiation, total number of lymph nodes removed, positive lymph node ratio, radiotherapy, and chemotherapy (P<0.05). Then we further built the Nomogram prediction model. The C index of the training cohort and the validation cohort were 0.764 and 0.770, respectively. The area under the ROC curve (0.777 and 0.762) for 3 years and 5 years, and the calibration curves of internal and external validation all indicated that the model could effectively predict the survival probability of rectal cancer.ConclusionThe constructed Nomogram model can predict the survival probability of rectal cancer, and has clinical guiding significance for the prognostic intervention of rectal cancer.

    Release date: Export PDF Favorites Scan
1 pages Previous 1 Next

Format

Content