ABSTRACT
OBJECTIVE: We investigated whether mental status assessed by simple bedside tests in elderly patients admitted for acute coronary syndromes (ACS) was associated with higher risk of mortality. METHODS: We used the data from a prospective, open, ongoing cohort of patients≥75 years old admitted for ACS to a tertiary centre. Cognitive impairment (CogI) was defined by delirium detected by the Confusion Assessment Method or an abnormal Mini Mental State Examination score. A Cox model adjusted on predefined correlates of mortality was used to assess the relationship between CogI and 1-year mortality. RESULTS: Six-hundred consecutive patients with mental status assessment within 48 hours after admission were included. CogI was identified in 172 (29%) patients among whom 153 (25.5%) had an abnormal Mini Mental State Evaluation and 19 (3.2%) delirium. Death occurred in 49 (28.6%) patients with and 43 (10.5%) patients without CogI at 1 year. There was a significant association between CogI and 1-year mortality (adjusted-HR 2.4, 95% CI 1.53 to 3.62), p<0.001) independent of other covariables. CogI was also independently associated with higher rates of in-hospital bleeding and mortality as well as 3-month rates of all-cause, cardiovascular-related and heart failure-related rehospitalisation. CONCLUSIONS: CogI detected by simple bedside tests in patients≥75 admitted for ACS is associated with an increased risk of 1-year mortality and 3 month rehospitalisation independent of other correlates of poor outcome.
Subject(s)
Acute Coronary Syndrome/diagnosis , Cognition Disorders/diagnosis , Cognition , Geriatric Assessment , Mental Status and Dementia Tests , Patient Admission , Point-of-Care Testing , Acute Coronary Syndrome/mortality , Acute Coronary Syndrome/psychology , Age Factors , Aged , Aged, 80 and over , Cognition Disorders/mortality , Cognition Disorders/psychology , Female , Humans , Male , Mental Health , Predictive Value of Tests , Prognosis , Prospective Studies , Risk Assessment , Risk Factors , Time FactorsABSTRACT
OBJECTIVE: We implemented the two-step OPTIMA program to anticipate chemotherapy prescription which aims to assess the discrepancy rate between anticipated and real prescription and its impact on waiting time and quality of care. METHODS: This prospective study included cancer patients receiving any intravenous chemotherapy. The OPTIMA program consists in a nurse phone call and a blood sample two days before the planned treatment. Collected information and biological results were used by a physician to issue a non-effective (step 1) or effective (step 2) anticipated prescription the day before the consultation. The real prescription was given as usual by another physician on the day of the consultation. Waiting time was collected, and patients' satisfaction with care was assessed with the OUT-PATSAT35 questionnaire. RESULTS: Respectively, 540 and 979 consultations (283 and 294 patients) were analysed in both steps. The discrepancy rate was 8.7% (step 1). In routine practice, the OPTIMA program (step 2) reduced patients' waiting time (median time 55 vs. 95 min, p < 0.001). A high general care satisfaction score was observed in both steps (80.7% and 80.2%). CONCLUSIONS: This anticipation program demonstrated the accuracy of chemotherapy prescription, whatever the regimen and cancer site, and its impact on waiting time optimisation.
