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Application of national early warning score in assessing postoperative illness severity in elderly patients with gastrointestinal illnesses.
- Source :
- Technology & Health Care; 2024, Vol. 32 Issue 3, p1393-1402, 10p
- Publication Year :
- 2024
-
Abstract
- BACKGROUND: Population aging is a social problem that is being faced in most countries. OBJECTIVE: To apply the National Early Warning Score (NEWS) for an early warning on the vital signs and consciousness of elderly patients who are hospitalized in the gastrointestinal surgical department and to provide a reference for early detection of changes in illness severity in elderly patients by studying the correlation between NEWS value and changes in illness severity. METHODS: We enrolled 528 elderly patients who were hospitalized in the gastrointestinal surgical department of a tertiary grade A hospital in Guizhou Province between June 2020 and May 2021, to analyze how NEWS max value correlates with illness severity and obtain the optimal NEWS cutoff value for both potentially critically ill and critically ill elderly patients using the receiver operating characteristic (ROC) curve. RESULTS: There were statistically significant differences in NEWS values between elderly patients with various illness severities (P < 0.05). NEWS values correlated positively with illness severity (r = 0.605, P < 0.001). Based on the ROC curve, early warning trigger values for NEWS to identify potentially critically ill, critically ill and terminally ill elderly patients were 6, 7 and 8, respectively. The area under the curve (AUC) for potentially critically ill, critically ill and terminally ill elderly patients was 0.907, 0.921 and 0.939, respectively. NEWS performed better in detecting patient illness severity than Modified Early Warning Score (MEWS) in AUC, sensitivity, specificity, and Youden's index, with statistically significant differences (P < 0.05). CONCLUSION: An early warning on the vital signs and consciousness of hospitalized elderly patients using NEWS can facilitate advanced detection of changes in illness severity of elderly patients by medical staff and enable timely treatment, thus significantly lowering the risks of illness deterioration. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09287329
- Volume :
- 32
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Technology & Health Care
- Publication Type :
- Academic Journal
- Accession number :
- 177634844
- Full Text :
- https://doi.org/10.3233/THC-230369