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1.
Ther Adv Drug Saf ; 15: 20420986241228129, 2024.
Article in English | MEDLINE | ID: mdl-38323189

ABSTRACT

Background: Polypharmacy is a growing phenomenon among elderly individuals. However, there is little information about the frequency of polypharmacy among the elderly population treated in emergency departments (EDs) and its prognostic effect. This study aims to determine the prevalence and short-term prognostic effect of polypharmacy in elderly patients treated in EDs. Methods: A retrospective analysis of the Emergency Department Elderly in Needs (EDEN) project's cohort was performed. This registry included all elderly patients who attended 52 Spanish EDs for any condition. Mild and severe polypharmacy was defined as the use of 5-9 drugs and ⩾10 drugs, respectively. The assessed outcomes were ED revisits, hospital readmissions, and mortality 30 days after discharge. Crude and adjusted logistic regression analyses, including the patient's comorbidities, were performed. Results: A total of 25,557 patients were evaluated [mean age: 78 (IQR: 71-84) years]; 10,534 (41.2%) and 5678 (22.2%) patients presented with mild and severe polypharmacy, respectively. In the adjusted analysis, mild polypharmacy and severe polypharmacy were associated with an increase in ED revisits [odds ratio (OR) 1.13 (95% confidence interval (CI): 1.04-1.23) and 1.38 (95% CI: 1.24-1.51)] and hospital readmissions [OR 1.18 (95% CI: 1.04-1.35) and 1.36 (95% CI: 1.16-1.60)], respectively, compared to non-polypharmacy. Mild and severe polypharmacy were not associated with increased 30-day mortality [OR 1.05 (95% CI: 0.89-2.26) and OR 0.89 (95% CI: 0.72-1.12)], respectively. Conclusion: Polypharmacy was common among the elderly treated in EDs and associated with increased risks of ED revisits and hospital readmissions ⩽30 days but not with an increased risk of 30-day mortality. Patients with polypharmacy had a higher risk of ED revisits and hospital readmissions ⩽30 days after discharge.


Short-term prognosis of polypharmacy in elderly patients treated in emergency departments: results from the EDEN project Management elderly patients with polypharmacy is becoming a major challenge to the emergency services. The progressive aging of the population is producing a progressive increase in the number of patients treated with multiple comorbidities and chronic medications. It's well known that polypharmacy is associated with an increase in hospital admissions and health care system costs. However, the impact of polypharmacy over the risk of new visits to the emergency rooms is not well defined. Understanding the impact of polypharmacy on the frequency of new visits to the emergency room and on patient mortality is the first step to establish prevention measures for new visits, proposing improvements in chronic treatment at discharge. This study aimed to determine the prevalence and effect on short-term prognosis of polypharmacy in elderly patients treated in Emergency departments. The authors used a retrospective multipurpose registry in 52 hospitals in Spain. This study includes 25,557 patients with a mean age of 78 years. On admission, the median number of drugs was 6 (IQR: 3­9), with 10,534 (41.2%) patients taking 5­9 drugs and 5,678 (22.2%) taking ⩾10 drugs. In these patients comorbidities were associated with an increase in the number of drugs. In the patients with severe polypharmacy (⩾10 drugs), diuretics were the most frequently drugs prescribed, followed by antihypertensives and statins. The results obtained indicate that polypharmacy is a frequent phenomenon among the elderly population treated in Emergency departments, being antihypertensives the most frequently used drugs in this population. Those patients who takes ⩾10 drugs have a higher risk of new visits to the emergency room and hospital readmissions in short term period.

2.
PLoS One ; 10(6): e0125212, 2015.
Article in English | MEDLINE | ID: mdl-26030588

ABSTRACT

BACKGROUND: midregional proadrenomedullin (MR-proADM) is a prognostic biomarker in patients with community-acquired pneumonia (CAP). We sought to confirm whether MR-proADM added to Pneumonia Severity Index (PSI) improves the potential prognostic value of PSI alone, and tested to what extent this combination could be useful in predicting poor outcome of patients with CAP in an Emergency Department (ED). METHODS: Consecutive patients diagnosed with CAP were enrolled in this prospective, single-centre, observational study. We analyzed the ability of MR-proADM added to PSI to predict poor outcome using receiver operating characteristic (ROC) curves, logistic regression and risk reclassification and comparing it with the ability of PSI alone. The primary outcome was "poor outcome", defined as the incidence of an adverse event (ICU admission, hospital readmission, or mortality at 30 days after CAP diagnosis). RESULTS: 226 patients were included; 33 patients (14.6%) reached primary outcome. To predict primary outcome the highest area under curve (AUC) was found for PSI (0.74 [0.64-0.85]), which was not significantly higher than for MR-proADM (AUC 0.72 [0.63-0.81, p > 0.05]). The combination of PSI and MR-proADM failed to improve the predictive potential of PSI alone (AUC 0.75 [0.65-0.85, p=0.56]). Ten patients were appropriately reclassified when the combined PSI and MR-proADM model was used as compared with the model of PSI alone. Net reclassification improvement (NRI) index was statistically significant (7.69%, p = 0.03) with an improvement percentage of 3.03% (p = 0.32) for adverse event, and 4.66% (P = 0.02) for no adverse event. CONCLUSION: MR-proADM in combination with PSI may be helpful in individual risk stratification for short-term poor outcome of CAP patients, allowing a better reclassification of patients compared with PSI alone.


Subject(s)
Adrenomedullin/blood , Community-Acquired Infections/blood , Community-Acquired Infections/pathology , Pneumonia/blood , Pneumonia/pathology , Protein Precursors/blood , Aged , Aged, 80 and over , Biomarkers/blood , Female , Humans , Male , Middle Aged , Prognosis , Prospective Studies , Severity of Illness Index
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