Predicting In-Hospital Acute Heart Failure Worsening in the Oldest Old: Insights from Point-of-Care Ultrasound.
Tessa MazzaroneVirginia MorelliAndrea GiustiMaria Giovanna BiancoLorenzo MaccioniCristina CargiolliDaniela GuarinoAgostino VirdisChukwuma OkoyePublished in: Journal of clinical medicine (2023)
The decompensation trajectory check is a basic step to assess the clinical course and to plan future therapy in hospitalized patients with acute decompensated heart failure (ADHF). Due to the atypical presentation and clinical complexity, trajectory checks can be challenging in older patients with acute HF. Point-of-care ultrasound (POCUS) has proved to be helpful in the clinical decision-making of patients with dyspnea; however, to date, no study has attempted to verify its role in predicting determinants of ADHF in-hospital worsening. In this single-center, cross-sectional study, we consecutively enrolled patients aged 75 or older hospitalized with ADHF in a tertiary care hospital. All of the patients underwent a complete clinical examination, blood tests, and POCUS, including Lung Ultrasound and Focused Cardiac Ultrasound. Out of 184 patients hospitalized with ADHF, 60 experienced ADHF in-hospital worsening. By multivariable logistic analysis, total Pleural Effusion Score (PEFs) [aO.R.: 1.15 (CI95% 1.02-1.33), p = 0.043] and IVC collapsibility [aO.R.: 0.90 (CI95% 0.83-0.95), p = 0.039] emerged as independent predictors of acute HF worsening after extensive adjustment for potential confounders. In conclusion, POCUS holds promise for enhancing risk assessment, tailoring diuretic treatment, and optimizing discharge timing for older patients with ADHF.
Keyphrases
- heart failure
- end stage renal disease
- acute heart failure
- ejection fraction
- magnetic resonance imaging
- newly diagnosed
- chronic kidney disease
- risk assessment
- healthcare
- prognostic factors
- decision making
- peritoneal dialysis
- emergency department
- left ventricular
- computed tomography
- stem cells
- palliative care
- ultrasound guided
- artificial intelligence
- big data
- cardiac resynchronization therapy
- hepatitis b virus