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Prolonged Hospital Stay in Hypertensive Patients: Retrospective Analysis of Risk Factors and Interactions
Stanisław Surma1, Michał Czapla2,3,4, Izabella Uchmanowicz5,6
1Department of Internal Medicine and Clinical Pharmacology, Medical University of Silesia, 40-752 Katowice, Poland.
Predictors of prolonged hospital stays in hypertension patients include lower LDL cholesterol, higher hs-CRP, and heart failure in women. These findings aid in managing hypertension and reducing healthcare burdens.
Area of Science:
- Cardiology
- Clinical Medicine
- Biochemistry
Background:
- Arterial hypertension (HT) is a major modifiable risk factor for cardiovascular diseases.
- Prolonged hospital stays (LOHS) in HT patients strain healthcare resources.
- Identifying predictors of LOHS is crucial for effective patient management.
Purpose of the Study:
- To analyze biochemical and clinical factors associated with prolonged LOHS in hospitalized HT patients.
- To identify key predictors and interactions influencing LOHS in this population.
Main Methods:
- Retrospective study of 356 adult HT patients from January 2017 to June 2021.
- Data included demographics, BMI, comorbidities, and laboratory parameters.
- Logistic regression models were used to identify predictors of LOHS (≥4 days) and interactions.
Main Results:
- Lower low-density lipoprotein cholesterol (LDL-c) and elevated high-sensitivity C-reactive protein (hsCRP) predicted prolonged LOHS.
- Each 1 mg/dL decrease in LDL-c increased LOHS odds by 1.21% (p < 0.001).
- Each 1 mg/L increase in hsCRP increased LOHS odds by 3.80% (p = 0.004).
- An interaction between sex and heart failure (HF) was significant: female patients with HF had 3.995-fold higher odds of prolonged LOHS (p < 0.001), with no significant difference in males.
Conclusions:
- Key predictors of prolonged LOHS in HT patients are lower LDL-c, elevated hsCRP, and the sex-heart failure interaction.
- Female HT patients with HF face significantly higher odds of prolonged hospitalization.
- These findings highlight specific patient subgroups requiring targeted management strategies to reduce LOHS.
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