Clusters of Comorbidities in the Short-Term Prognosis of Acute Heart Failure among Elderly Patients: A Retrospective Cohort Study.

Background and Objectives: Elderly patients affected by acute heart failure (AHF) often show different patterns of comorbidities. In this paper, we aimed to evaluate how chronic comorbidities cluster and which pattern of comorbidities is more strongly related to in-hospital death in AHF. Materials and Methods: All patients admitted for AHF to an Internal Medicine Department (01/2015−01/2019) were retrospectively evaluated; the main outcome of this study was in-hospital death during an admission for AHF; age, sex, the Charlson comorbidity index (CCI), and 17 different chronic pathologies were investigated; the association between the comorbidities was studied with Pearson's bivariate test, considering a level of p ≤ 0.10 significant, and considering p < 0.05 strongly significant. Thus, we identified the clusters of comorbidities associated with the main outcome and tested the CCI and each cluster against in-hospital death with logistic regression analysis, assessing the accuracy of the prediction with ROC curve analysis. Results: A total of 459 consecutive patients (age: 83.9 ± 8.02 years; males: 56.6%). A total of 55 (12%) subjects reached the main outcome; the CCI and 16 clusters of comorbidities emerged as being associated with in-hospital death from AHF. Of these, CCI and six clusters showed an accurate prediction of in-hospital death. Conclusions: Both the CCI and specific clusters of comorbidities are associated with in-hospital death from AHF among elderly patients. Specific phenotypes show a greater association with a worse short-term prognosis than a more generic scale, such as the CCI.

Implementation of EHMRG Risk Model in an Italian Population of Elderly Patients with Acute Heart Failure.

Acute heart failure (AHF) is a cardiac emergency with an increasing incidence, especially among elderly patients. The Emergency Heart failure Mortality Risk Grade (EHMRG) has been validated to assess the 7-days AHF mortality risk, suggesting the management of patients admitted to an emergency department (ED). EHMRG has never been implemented in Italian ED nor among elderly patients. We aimed to assess EHMRG score accuracy in predicting in-hospital death in a retrospective cohort of elderly subjects admitted for AHF from the ED to an Internal Medicine Department. We enrolled, in a 24-months timeframe, all the patients admitted to an Internal Medicine Department from ED for AHF. We calculated the EHMRG score, subdividing patients into six categories, and assessing in-hospital mortality and length of stay. We evaluated EHMRG accuracy with ROC curve analysis and survival with Kaplan−Meier and Cox models. We collected 439 subjects, with 45 in-hospital deaths (10.3%), observing a significant increase of in-hospital death along with EHMRG class, from 0% (class 1) to 7.7% (class 5b; p < 0.0001). EHMRG was fairly accurate in the whole cohort (AUC: 0.75; 95%CI: 0.68−0.83; p < 0.0001), with the best cutoff observed at >103 (Se: 71.1%; Sp: 72.8%; LR+: 2.62; LR-: 0.40; PPV: 23.0%; NPV: 95.7%), but performed better considering the events in the first seven days of admission (AUC: 0.83; 95%; CI: 0.75−0.91; p < 0.0001). In light of our observations, EHMRG can be useful also for the Italian emergency system to predict the risk of short-term mortality for AHF among elderly patients. EHMRG performance was better in the first seven days but remained acceptable when considering the whole period of hospitalization.

Improving the EHMRG Prognostic Evaluation of Acute Heart Failure with TAPSE/PASp: A Sequential Approach.

The Emergency Heart Failure Mortality Risk Grade (EHMRG) can predict short-term mortality in patients admitted for acute heart failure (AHF) in the emergency department (ED). This paper aimed to evaluate if TAPSE/PASp, an echocardiographic marker of ventricular desynchronization, can improve in-hospital death prediction in patients at moderate-to-high risk, according to EHMRG score classification. From 1 January 2018 to 30 December 2019, we retrospectively enrolled all the consecutive subjects admitted to our Internal Medicine Department for AHF from the ED. We performed bedside echocardiography within the first 24 h of admission. We evaluated EHMRG and NYHA in the ED, days of admission in Internal Medicine, and in-hospital mortality. We assessed cutoffs with ROC curve analysis and survival with Kaplan-Meier and Cox regression. We obtained a cohort of 439 subjects; 10.3% underwent in-hospital death. Patients with normal TAPSE/PASp in EHMRG Classes 4, 5a, and 5b had higher survival rates (100%, 100%, and 94.3%, respectively), while subjects with pathologic TAPSE/PASp had lower survival rates (81.8%, 78.3%, and 43.4%, respectively) (p < 0.0001, log-rank test). TAPSE/PASp, an echocardiographic marker of ventricular desynchronization, can further stratify the risk of in-hospital death evaluated by EHMRG.

SOFA and qSOFA usefulness for in-hospital death prediction of elderly patients admitted for suspected infection in internal medicine.

PURPOSE: To reduce intensive care unit overcrowding and optimize resources, elderly patients affected by suspected infection with declining clinical conditions could be managed in internal medicine departments with stepdown beds. However, commonly used prognostic scores, as Sequential Organ Failure Assessment (SOFA) or quick SOFA (qSOFA) have never been studied in this specific setting. The aim of this study was to evaluate the role and the accuracy of SOFA and qSOFA as prognostic scores in a population of elderly patients with suspected infection admitted to stepdown beds of two internal medicine departments. METHODS: Elderly patients admitted from the emergency department in the stepdown beds of two different internal medicine departments for suspected infection were assessed with SOFA and qSOFA scores at the admission. All patients were treated according to current guidelines. Age, sex, comorbidities, Charlson comorbidity index, SOFA and qSOFA were assessed. In-hospital death and length of hospital admission were also recorded. RESULTS: 390 subjects were enrolled. In-hospital death occurred in 144 (36.9%) patients; we observed that both SOFA (HR 1.189; 95% CI 1.128-1.253; p < 0.0001) and qSOFA (HR 1.803; 95% CI 1.503-2.164; p < 0.0001) scores were independently associated with an increased risk of in-hospital death. However, the accuracy of both SOFA (AUC: 0.686; 95% CI 0.637-0.732; p < 0.0001) and qSOFA (AUC: 0.680; 95% CI 0.641-0.735; p < 0.0001) in predicting in-hospital death was low in this population. CONCLUSION: Elderly patients admitted to stepdown beds for suspected infection experience a high rate of in-hospital death; both SOFA and qSOFA scores can be useful to identify a group of patients who can benefit from admission to an intermediate care environment, however their accuracy is low.

Serum Uric Acid, Kidney Function and Acute Ischemic Stroke Outcomes in Elderly Patients: A Single-Cohort, Perspective Study.

Chronic kidney disease and hyperuricemia have been associated to an increased risk and a worse prognosis in acute ischemic stroke. Several mechanisms, including platelet dysfunction, coagulation disorders, endothelial dysfunction, inflammation, and an increased risk of atrial fibrillation could be implicated. The role of serum uric acid in this setting is still object of debate. We enrolled all the consecutive patients admitted to our department for acute ischemic stroke. Cox regression analysis was used to evaluate the risk of in-hospital death considering serum uric acid levels and all the comorbidities. In the overall sample, hyperuricemia was independently associated to an increased risk of in-hospital mortality. This effect was stronger in patients with chronic kidney disease while, in the group of patients with normal renal function, the relationship between hyperuricemia and increased stroke mortality was not confirmed. Hyperuricemia could be associated to higher in-hospital mortality for ischemic stroke among elderly patients when affected by kidney disease. Survival does not seem to be affected by hyperuricemia in patients with normal kidney function.

Charlson comorbidity index as a predictor of in-hospital death in acute ischemic stroke among very old patients: a single-cohort perspective study.

Chronic diseases are increasing worldwide. Association of two or more chronic conditions is related with poor health status and reduced life expectancy, particularly among elderly patients. Comorbidities represent a risk factor for adverse events in several critical illnesses. We aimed to evaluate if elderly patients are affected by multiple chronic pathologies, assessed by Charlson comorbidity index (CCI), showed a reduced in-hospital survival after ischemic stroke. In a 3-year period, we evaluated all the subjects admitted to our internal medicine department for ischemic stroke. Age, sex, NIHSS score and all the comorbidities were recorded. Days of hospitalization, hospital-related infections and in-hospital mortality were also assessed. For each patient, we evaluated CCI, obtaining four classes: group 1 (CCI: 2-3), group 2 (CCI: 4-5), group 3 (CCI: 6-7) and group 4 (CCI: ≥8). Survival was evaluated with Kaplan-Meier and Cox regression analyses. The complete model considered in-hospital death as the main outcome, days of hospitalization as the time variable and CCI as the main predictor, adjusting for NIHSS, sex and nosocomial infections. Patients in CCI group 3 and 4 had an increased risk of in-hospital mortality, independently of NIHSS, sex and nosocomial infections. Elderly patients with multiple comorbidities have higher risk of in-hospital death when affected by ischemic stroke.