Temporal Trends and Clinical Impact of Malnutrition on In-Hospital Outcomes Among Patients with Advanced Chronic Kidney Disease: A Nationwide Inpatient Analysis Article Swipe
Wannasit Wathanavasin
,
Charat Thongprayoon
,
Wisit Kaewput
,
Supawit Tangpanithandee
,
Supawadee Suppadungsuk
,
Wisit Cheungpasitporn
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/nu17091508
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/nu17091508
Background/Objectives: Malnutrition is a prevalent yet under-recognized condition in patients with advanced chronic kidney disease (CKD), contributing to increased morbidity, mortality, and healthcare burden. The aim of this study is to determine the prevalence and trends of malnutrition and investigate the impact of malnutrition on in-hospital outcomes, treatments, and resource utilization in hospitalized patients with advanced CKD. Methods: This study utilized the National Inpatient Sample (NIS) database to identify hospitalized patients with advanced CKD from 2016 to 2021. This study investigated temporal trends in the prevalence and in-hospital mortality across different degrees of malnutrition in advanced CKD patients. Multivariable regression models were used to assess the association between malnutrition and in-hospital outcomes. Results: Out of 1,244,415 advanced CKD patients, 67,587 (5.4%) had mild to moderate malnutrition, and 63,785 (5.1%) had severe malnutrition. Malnourished patients exhibited significantly higher in-hospital mortality, with adjusted odds ratios of 1.70 (95% confidence interval (CI), 1.64–1.75) for mild to moderate cases and 2.67 (95% CI, 2.60–2.75) for severe cases. Severely malnourished patients were associated with longer mean hospital stay by 7.0 days and higher hospitalization costs by $97,767 compared with non-malnourished patients. The prevalence of severe malnutrition showed a significant uptrend from 4.2% in 2016 to 5.5% in 2021 (p for trend < 0.001). Conclusions: Malnutrition in advanced CKD is an increasingly prevalent condition linked to worsened in-hospital outcomes and heightened healthcare resource utilization. The rising trend of severe malnutrition underscores the need for early nutritional screening and the need for future interventional studies to mitigate adverse clinical outcomes in this high-risk population.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/nu17091508
- https://www.mdpi.com/2072-6643/17/9/1508/pdf?version=1746009083
- OA Status
- gold
- Cited By
- 2
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409961859
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409961859Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/nu17091508Digital Object Identifier
- Title
-
Temporal Trends and Clinical Impact of Malnutrition on In-Hospital Outcomes Among Patients with Advanced Chronic Kidney Disease: A Nationwide Inpatient AnalysisWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-29Full publication date if available
- Authors
-
Wannasit Wathanavasin, Charat Thongprayoon, Wisit Kaewput, Supawit Tangpanithandee, Supawadee Suppadungsuk, Wisit CheungpasitpornList of authors in order
- Landing page
-
https://doi.org/10.3390/nu17091508Publisher landing page
- PDF URL
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https://www.mdpi.com/2072-6643/17/9/1508/pdf?version=1746009083Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-6643/17/9/1508/pdf?version=1746009083Direct OA link when available
- Concepts
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Medicine, Malnutrition, Kidney disease, Odds ratio, Confidence interval, Intensive care medicine, Disease burden, Pediatrics, Disease, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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57Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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