Nevin Manimala Statistics

Correlation Between ICU Admission Time and Long-Term Mortality in Elderly Critically Ill Patients

Altern Ther Health Med. 2023 Nov 3:AT8865. Online ahead of print.


OBJECTIVE: The the intensive care unit (ICU), also known as intensive care medicine department and intensive intensive care unit, is a medical place for centralized treatment of critical diseases and continuous monitoring and treatment. To investigate the relationship between the length of intensive care unit (ICU) admission and long-term mortality in elderly critically ill patients.

METHODS: A total of 2694 critically ill ICU patients admitted to Xianning First People’s Hospital from April 2017 to April 2021 were selected. Inclusion criteria including: age ≥ 60 years; meet the diagnostic criteria for critical illness; admission to ICU ≥ 24h. According to admission time, patients were divided into 1684 patients admitted during working hours and 1010 patients admitted during non-working hours. The relationship between the admission time of ICU patients and long-term mortality was taken as the dependent variable. The evaluation was performed using the Acute Physiology and Chronic Health Status Assessment Scale (APACHE II score). Epidemiological questionnaire was used to investigate the status of time to hospital and mortality, and the independent risk factors affecting time to hospital and mortality were analyzed by univariate and multivariate analysis. SPSS 26.0 statistical software was used for analysis and processing.

RESULTS: Among 2694 critically ill patients in ICU, 1010 patients were hospitalized during non-working hours, with an admission rate of 37.49%. The acute physiology and chronic health evaluation (APACHE) II score of non-working hours was 19.91±6.62, which is significantly higher than that of working hours (18.21±6.42) (P < .05). The mortality rates of ICU patients hospitalized during non-working hours and during working hours accounted for 30.10 % and 19.71% of all patients, respectively, with statistical significance (P < .05). Comparing the mortality rates of the two groups at different time periods, there was a significant difference between the two groups (P < .05). In order to influence the independent variables of ICU mortality (non-occurrence = 0, occurrence = 1), the significant factors of univariate analysis were included in the logistic regression equation. Time of admission, combined cardiopulmonary disease, APACHE II score, nurse workload and other factors were independent risk factors for ICU mortality.

CONCLUSION: Out-of-hours admission is associated with an increased risk of death and is associated with changes in ICU organizational structure. Therefore, sending patients to ICU in time migh help improve their life.


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