End-of-life care in a cardiology department: have we improved?

nd-of-life care is not usually a priority in cardiology departments. We sought to evaluate the changes in end-of-life care after the introduction of a do-not-resuscitate (DNR) order protocol. Retrospective analysis of all deaths in a cardiology department in two periods, before and after the introduction of the protocol. Comparison of demographic characteristics, use of DNR orders, and end-of-life care issues between both periods, according to the presence in the second period of the new DNR sheet (Group A), a conventional DNR order (Group B) or the absence of any DNR order (Group C). The number of deaths was similar in both periods (n = 198 vs. n = 197). The rate of patients dying with a DNR order increased significantly (57.1% vs. 68.5%; P = 0.02). Only 4% of patients in both periods were aware of the decision taken about cardiopulmonary resuscitation. Patients in Group A received the DNR order one day earlier, and 24.5% received it within the first 24 h of admission (vs. 2.6% in the first period; P < 0.001). All patients in Group A with an implantable cardioverter defibrillator (ICD) had shock therapies deactivated (vs. 25.0% in the first period; P = 0.02). The introduction of a DNR order protocol may improve end-of-life care in cardiac patients by increasing the use and shortening the time of registration of DNR orders. It may also contribute to increase ICD deactivation in patients with these orders in place. However, the introduction of the sheet in late stages of the disease failed to improve patient participation.

Prediction of 30-day mortality in older patients with a first acute myocardial infarction

This study sought predictors of mortality in patients aged >or=75 years with a first ST-segment elevation myocardial infarction (STEMI) and evaluated the validity of the GUSTO-I and TIMI risk models. Clinical variables, treatment and mortality data from 433 consecutive patients were collected. Univariable and multivariable logistic regression analyses were applied to identify baseline factors associated with 30-day mortality. Subsequently a model predicting 30-day mortality was created and compared with the performance of the GUSTO-I and TIMI models. After adjustment, a higher Killip class was the most important predictor (OR 16.1; 95% CI 5.7-45.6). Elevated heart rate, longer time delay to admission, hyperglycemia and older age were also associated with increased risk. Patients with hypercholesterolemia had a significantly lower risk (OR 0.46; 95% CI 0.24-0.86). Discrimination (c-statistic 0.79, 95% CI 0.75-0.84) and calibration (Hosmer-Lemeshow 6, p = 0.5) of our model were good. The GUSTO-I and TIMI risk scores produced adequate discrimination within our dataset (c-statistic 0.76, 95% CI 0.71-0.81, and c-statistic 0.77, 95% CI 0.72-0.82, respectively), but calibration was not satisfactory (HL 21.8, p = 0.005 for GUSTO-I, and HL 20.6, p = 0.008 for TIMI). In conclusion, short-term mortality in elderly patients with a first STEMI depends most importantly on initial clinical and hemodynamic status. The GUSTO-I and TIMI models are insufficiently adequate for providing an exact estimate of 30-day mortality risk.

Valve surgery in active infective endocarditis: a simple score to predict in-hospital prognosis

Aims Surgery for infective endocarditis (IE) is associated with high mortality. Our objectives were to describe the experience with surgical treatment for IE in Spain, and to identify predictors of in-hospital mortality. Methods Prospective cohort of 1000 consecutive patients with IE. Data were collected in 26 Spanish hospitals. Results Surgery was performed in 437 patients (43.7%). Patients treated with surgery were younger and predominantly male. They presented fewer comorbid conditions and more often had negative blood cultures and heart failure. In-hospital mortality after surgery was lower than in the medical therapy group (24.3 vs 30.7%, p = 0.02). In patients treated with surgery, endocarditis involved a native valve in 267 patients (61.1%), a prosthetic valve in 122 (27.9%), and a pacemaker lead with no clear further valve involvement in 48 (11.0%). The most common aetiologies were Staphylococcus (186, 42.6%), Streptococcus (97, 22.2%), and Enterococcus (49, 11.2%). The main indications for surgery were heart failure and severe valve regurgitation. A risk score for in-hospital mortality was developed using 7 prognostic variables with a similar predictive value (OR between 1.7 and 2.3): PALSUSE: prosthetic valve, age ≥ 70, large intracardiac destruction, Staphylococcus spp, urgent surgery, sex [female], EuroSCORE ≥ 10. In-hospital mortality ranged from 0% in patients with a PALSUSE score of 0 to 45.4% in patients with PALSUSE score > 3. Conclusions The prognosis of IE surgery is highly variable. The PALSUSE score could help to identify patients with higher in-hospital mortality.