Systematic Review and Meta-Analysis of Risk Factors for Dehydration and the Development of a Predictive Scoring
Melvin Omone Ogbolu1, Olanrewaju D Eniade2,3, Miklos Kozlovszky4,5
1BioTech Research Center, University Research and Innovation Center, Óbuda University, Bécsi Street 96/B, 1034 Budapest, Hungary.
Insights
Simple clinical signs like thirst and dry mouth can help identify dehydration risk. A new scoring tool shows promise for early assessment, but needs more research before clinical use.
Area of Science:
- Clinical Medicine
- Public Health
- Diagnostic Accuracy
Background:
- Dehydration is a common and serious health issue, especially for children and the elderly.
- Early detection and treatment are vital to prevent severe complications.
Purpose of the Study:
- To identify clinical and demographic risk factors for dehydration.
- To develop and evaluate a risk stratification tool for dehydration.
Main Methods:
- Systematic review and meta-analysis of studies (2000-2024) from PubMed, Scopus, and Cochrane Library.
- Risk of bias assessment using Newcastle-Ottawa Scale and Cochrane RoB tool.
- Development of a preliminary dehydration risk scoring tool based on pooled diagnostic metrics.
Main Results:
- Common signs (thirst, dry mouth, dark urine) showed pooled sensitivity of 85% and specificity of 70%.
- Positive predictive value (PPV) was 75%, and negative predictive value (NPV) was 80%.
- Pediatric data were robust; adult and elderly data were limited. A preliminary risk scoring system was proposed.
Conclusions:
- Clinical signs offer reasonable accuracy for dehydration risk identification.
- The proposed scoring system provides a framework for early risk assessment.
- Further validation in prospective studies is required before clinical implementation.
Abstract:
Background: Dehydration is a prevalent and potentially serious condition, particularly affecting vulnerable populations such as children and older adults. Prompt recognition and intervention are critical for preventing associated complications. Methods: A systematic review and meta-analysis were conducted, registered in PROSPERO (CRD42024594780), to identify key clinical and demographic risk factors associated with dehydration. A comprehensive search of PubMed, Scopus, and the Cochrane Library was performed for studies published between 2000 and 2024. The risk of bias in included studies was assessed using the Newcastle-Ottawa Scale and the Cochrane Risk-of-Bias (RoB) tool. Ten studies met the inclusion criteria for quantitative synthesis. Based on pooled diagnostic metrics, a preliminary scoring tool was developed for dehydration risk stratification. Results: The pooled sensitivity and specificity of common clinical signs, such as thirst, dry mouth, and dark urine, were 85% (95% CI: 80-90%) and 70% (95% CI: 65-75%), respectively. The positive predictive value (PPV) was 75%, and the negative predictive value (NPV) was 80%. Pediatric subgroup analysis yielded the most robust data, while data for adult and elderly populations were limited. A conceptual risk scoring system was proposed based on relative diagnostic utility, though it has not yet been externally validated. Conclusions: Simple clinical signs demonstrate reasonable diagnostic accuracy for identifying individuals at risk of dehydration. The proposed scoring system offers a promising, evidence-informed framework for early risk assessment but requires further validation in prospective studies before integration into clinical practice.
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