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.
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.