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The Relationship between Apache 2 and PSI Scores with Length of Hospitalization and Mortality Rate of Covid-19 Patients Hospitalized in Intensive Care Unit: A Cross-Sectional Study
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Mahdieh Yavari    , Saiede Bahrampouri * , Nazi Nejat , Javad Javaheri |
| Faculty of Nursing, Arak University of Medical Sciences, Arak, Iran , s.bahrampouri@arakmu.ac.ir |
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Abstract: (290 Views) |
Background & aim: In Intensive Care Units (ICUs), several systems are used to predict patient mortality. In this study, the relationship between the Apache 2 and PSI scores with the length of stay and mortality rate of Covid-19 patients admitted to the ICU was investigated.
Methods: This cross-sectional analytical study was conducted on patients admitted to the ICU. In order to collect information, the PSI and Apache 2 tools were used. After obtaining a referral from the university's research vice chancellor, the hospital archives unit was referred. Then, the data required for the Apache 2 tool, the PSI tool, and demographic characteristics related to the first 24 hours of admission to the ICU were collected from the hospital's files and HIS. Information related to the time of death, length of stay, and patient transfer were also recorded.
Results: Of the 486 investigated patients, the mean and standard deviation of age was 62.76 ± 18.1. In addition, 46.7% of patients were female (227 patients) and 53.3% (259 patients) were male. The mean duration of hospitalization in the ICU was 7.15 ± 4.6 days (minimum 1, maximum 27 days). Furthermore, 21% (102 patients) were intubated at the time of examination. Finally, 51.9% (252 patients) were discharged from the ward and 48.1% (234 patients) died. In a recent evaluation, it was observed that the Apache 2 score had a statistically significant relationship with patient mortality, and the mean and standard deviation of the score were higher in deceased patients (P = 0.000). This tool can also predict the mortality rate of Covid-19 patients by 72.4%. The Apache 2 score was related to the patient's age and intubation status (P = 0.001), but it was not statistically significantly related to gender and length of hospitalization (P = 0.905). The PSI score had a statistically significant relationship with patient mortality, and the mean and standard deviation of the score were higher in deceased patients (P = 0.001). The PSI score also had no statistically significant relationship with length of hospitalization (P = 0.581). This tool can predict the mortality rate of Covid-19 patients by 66%. Also, according to the results of the recent evaluation, length of hospitalization was not related to the patient's age, gender, intubation status, and initial level of consciousness.
Conclusion: According to findings, the use of the Apache 2 tool in the admission of patients with Covid-19 to the ICU had a more accurate prediction than other tools and could greatly contribute to the optimal use of ICU beds.
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| Keywords: Apache 2, Pneumonia Severity Index, Length of Hospitalization, COVID-19 |
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Full-Text [PDF 1263 kb]
(34 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2024/10/8 | Accepted: 2024/12/28 | Published: 2025/04/16
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