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Signs and Symptoms Clusters Among Patients With Acute Heart Failure: A Correlational Study.
Journal of Cardiovascular Nursing 2023 May 30
BACKGROUND: Patients with acute heart failure present to the emergency department with a myriad of signs and symptoms. Symptoms evaluated in clusters may be more meaningful than those evaluated individually by clinicians.
OBJECTIVE: Among emergency department patients, we aimed to identify signs and symptoms correlations, clusters, and differences in clinical variables between clusters.
METHODS: Medical record data included adults older than 18 years, International Classification of Diseases, Tenth Revisions codes, and positive Framingham Heart Failure Diagnostic Criteria. Exclusion criteria included medical records with a ventricular assist device and dialysis. For analysis, correlation, and the Gower distance, the independent t test, Mann-Whitney U test, χ2 test, and regression were performed.
RESULTS: A secondary analysis was conducted from the data set to evaluate door-to-diuretic time among patients with acute heart failure in the emergency department. A total of 218 patients were included, with an average age of 69 ± 15 years and predominantly White (74%, n = 161). Two distinct symptom clusters were identified: severe and mild congestion. The severe congestion cluster had a more comorbidity burden compared with the mild congestion cluster, as measured by the Charlson Comorbidity index (cluster 1 vs cluster 2, 6 [5-7] vs 5 [4-6]; P = .0019). Heart failure with preserved ejection fraction was associated with the severe congestion symptom cluster (P = .009), and heart failure with mildly reduced ejection fraction was associated with the mild congestion cluster (P = .019).
CONCLUSIONS: In conclusion, 2 distinct symptom clusters were identified among patients with acute heart failure. Symptom clusters may be related to ejection fraction or overall cardiac output and comorbidity burden.
OBJECTIVE: Among emergency department patients, we aimed to identify signs and symptoms correlations, clusters, and differences in clinical variables between clusters.
METHODS: Medical record data included adults older than 18 years, International Classification of Diseases, Tenth Revisions codes, and positive Framingham Heart Failure Diagnostic Criteria. Exclusion criteria included medical records with a ventricular assist device and dialysis. For analysis, correlation, and the Gower distance, the independent t test, Mann-Whitney U test, χ2 test, and regression were performed.
RESULTS: A secondary analysis was conducted from the data set to evaluate door-to-diuretic time among patients with acute heart failure in the emergency department. A total of 218 patients were included, with an average age of 69 ± 15 years and predominantly White (74%, n = 161). Two distinct symptom clusters were identified: severe and mild congestion. The severe congestion cluster had a more comorbidity burden compared with the mild congestion cluster, as measured by the Charlson Comorbidity index (cluster 1 vs cluster 2, 6 [5-7] vs 5 [4-6]; P = .0019). Heart failure with preserved ejection fraction was associated with the severe congestion symptom cluster (P = .009), and heart failure with mildly reduced ejection fraction was associated with the mild congestion cluster (P = .019).
CONCLUSIONS: In conclusion, 2 distinct symptom clusters were identified among patients with acute heart failure. Symptom clusters may be related to ejection fraction or overall cardiac output and comorbidity burden.
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