Pandemic influenza: allocating scarce critical care resources

The epidemiology and treatment outcomes of COVID-19 patients admitted to an intensive care unit in an Iranian hospital in Neyshabur city

Background and Aims

The COVID-19 pandemic and the infection of numerous individuals from diverse societies have emerged as major global challenges. Given the limited resources in intensive care units, effective bed management and resource allocation require a deep understanding of the disease. This study aimed to assess the epidemiology and treatment outcomes of COVID-19 patients admitted to an intensive care unit in an Iranian hospital in Neyshabur city.

Methods

This cross-sectional study was conducted on COVID-19 patients hospitalized in intensive care units in Razavi Khorasan, Iran in 2021. Census sampling was used to include all intensive care units. Of the initial 480 cases, 54 cases were excluded based on the exclusion criteria, leaving 426 cases for the study. Data were collected with the help of a data collection form that was designed by the researcher and its content validity and reliability were measured with Cronbach's alpha coefficient (α = 89%.). Data were analyzed with SPSS version 20 software. Descriptive and inferential statistics were used to analyze the data. Mean, standard deviation, and interquartile range indicators were used for descriptive statistics, and absolute frequency and relative frequency (percentage) were used to show numbers and ratios.

Results

The mean (SD) age of the patients was 66.33 (15.05) years, and 49.3% were female. The results showed that arterial blood oxygen saturation, respiratory rate, and Alzheimer's disease were significant variables for predicting mortality. Furthermore, arterial blood oxygen saturation, respiratory rate, and the need for transfusion of blood products were significant variables in predicting hospitalization and the risk of acute respiratory distress syndrome (ARDS).

Conclusion

This study demonstrated that arterial blood oxygen saturation, respiratory rate, and Alzheimer's disease are crucial variables for predicting death. Furthermore, arterial blood oxygen saturation and respiratory rate are significant factors in predicting the risk of ARDS.

Mass Casualties and Disaster Implications for the Critical Care Team

Preparing for disasters both natural and anthropogenic requires assessment of risk through hazard vulnerability analysis and formulation of facility and critical care-specific disaster plans. Disaster surge conditions often require movement from conventional to contingency or crisis-level operations to meet the needs of the many under our care. Predisaster planning for modification of critical care space, staffing, and supplies is essential to successful execution of operations during a surge. Expansion of intensive care unit beds to nonconventional units such as perioperative areas, general care units, and even external temporary units may be necessary. Creative, tiered staffing models as well as just-in-time education of noncritical care clinicians and support staff are important to multiply capable personnel under surge conditions. Finally, anticipation of demand for key equipment and supplies is essential to maintain stockpiles, establish supply chains, and sustain operations under prolonged disaster scenarios.