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BRIEF REPORT
Year : 2021  |  Volume : 4  |  Issue : 1  |  Page : 64-68

Readmission rates of heart failure and their associated risk factors in a tertiary academic medical City in Riyadh, Saudi Arabia


1 College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
2 Department of Cardiac Sciences, National Guard Hospital, Riyadh, Saudi Arabia

Correspondence Address:
Mohammad A Alghafees
Uzzam, AlManar, Riyadh 14222
Saudi Arabia
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/JNSM.JNSM_57_20

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Background: Readmissions remain a persistent challenge in the care process of heart failure (HF). This study aimed to assess the 30 and 90-day readmission rates of HF and the associated risk factors. Materials and Methods: This retrospective cohort study targeted adult patients admitted for HF to King Abdulaziz Medical City between January 2016 and December 2018. The primary outcome variables were 30- and 90-day readmissions. Descriptive statistics were used for the continuous variables, which displayed the mean, standard deviation, and minimum and maximum values. The binary logistic regression technique was used to investigate risk factors for 30- and 90-day readmissions. Results: The 30- and 90-day readmission rates were 39.6% and 37.6%, respectively. Hypertension (P < 0.001), chronic kidney disease (P = 0.03), hypothyroidism (P = 0.04), and pulmonary diseases (P < 0.001) were all deemed as risk factors for readmission within 30 days. Body mass index (P = 0.03), dyslipidemia (P = 0.04), chronic kidney disease (P = 0.03), arrhythmias (P = 0.007), and pulmonary diseases (P < 0.001) were all deemed as significant predictors of readmission within 90 days. Conclusion: The 30- and 90-day readmission rates were 39.6% and 37.6%, respectively. Hypertension, chronic kidney disease, hypothyroidism, and pulmonary diseases were significant predictors for 30-day readmission. Body mass index, dyslipidemia, chronic kidney disease, arrhythmias, and pulmonary diseases were significant predictors for 90-day readmissions. These predictors must be taken into consideration to develop strategies to reduce readmission rates and mitigate a burden on health-care resources and patients' morbidity.


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