Temporal Trend of Rehospitalization after Establishing a Heart Failure Diagnosis
1
Cardiac, King Abdulaziz Cardiac Center, Riyadh, Saudi Arabia
Popul. Med. 2026;8(Supplement Supplement 1):
ABSTRACT
ABSTRACT:
Heart failure remains a leading cause of morbidity and mortality, influenced age, increased cardiometabolic risk, and advancements in therapy. Temporal trend analyses are vital for tracking incidence, hospitalization, and survival, Therefore, we aim to evaluate the rehospitalization rate for heart failure patients following the establishment of their diagnosis at King Abdulaziz Medical City between January 2016 and June 2025.
METHODS:
This is a cohort study using data from all adult hospitalizations (≥18 years) in the King Abdulaziz Medical City, central region database from January 2016 to June 2025, with a primary diagnosis of HF. The electronic medical records system was used for data extraction. Unique, 30-day readmissions, and overall hospitalizations with a primary diagnosis of HF and post-discharge readmissions were used as the main study outcomes. Furthermore, a stratified analysis was conducted by age groups and gender. The Cochran-Armitage Tend test was used to determine the significance of trends across years, and the chi-square test for groups was used to compare differences between age groups and genders.
RESULTS:
The overall readmission rate decreased significantly from 2016 to 2025 by 3.88% (p-value = 0.015), despite two peak events in 2022 and 2017 (26.57% and 16.13%, respectively). The 30-day readmission rate stayed steady at around 9%. The need for frequent hospitalizations among HF patients, exceeding twice a year, showed a decline from 9.7% in 2016 to 5.6% in 2025 (p-value = 0.010). Age- and gender-stratified analysis demonstrated consistently higher readmission rates among patients aged 50 years or older, as well as females had higher annual readmission rates than males, with no significant differences.
CONCLUSIONS:
Our study demonstrated a significant reduction in overall HF readmission and frequent hospitalization with a consistent 30-day readmission rate between 2016 and 2025. Further studies are needed to enhance the generalizability
Heart failure remains a leading cause of morbidity and mortality, influenced age, increased cardiometabolic risk, and advancements in therapy. Temporal trend analyses are vital for tracking incidence, hospitalization, and survival, Therefore, we aim to evaluate the rehospitalization rate for heart failure patients following the establishment of their diagnosis at King Abdulaziz Medical City between January 2016 and June 2025.
METHODS:
This is a cohort study using data from all adult hospitalizations (≥18 years) in the King Abdulaziz Medical City, central region database from January 2016 to June 2025, with a primary diagnosis of HF. The electronic medical records system was used for data extraction. Unique, 30-day readmissions, and overall hospitalizations with a primary diagnosis of HF and post-discharge readmissions were used as the main study outcomes. Furthermore, a stratified analysis was conducted by age groups and gender. The Cochran-Armitage Tend test was used to determine the significance of trends across years, and the chi-square test for groups was used to compare differences between age groups and genders.
RESULTS:
The overall readmission rate decreased significantly from 2016 to 2025 by 3.88% (p-value = 0.015), despite two peak events in 2022 and 2017 (26.57% and 16.13%, respectively). The 30-day readmission rate stayed steady at around 9%. The need for frequent hospitalizations among HF patients, exceeding twice a year, showed a decline from 9.7% in 2016 to 5.6% in 2025 (p-value = 0.010). Age- and gender-stratified analysis demonstrated consistently higher readmission rates among patients aged 50 years or older, as well as females had higher annual readmission rates than males, with no significant differences.
CONCLUSIONS:
Our study demonstrated a significant reduction in overall HF readmission and frequent hospitalization with a consistent 30-day readmission rate between 2016 and 2025. Further studies are needed to enhance the generalizability
| eISSN: | 2654-1459 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
