No abstract

A bstract Background An increasing number of patients become chronic critically ill (CCI) and dependent on long-term therapies in the intensive care unit (ICU). Mortality and healthcare costs increase in these patients. In order to deal with this problem, the magnitude and risk factors for CCI must first be determined. Therefore, we aimed at evaluating the incidence cost and risk factors for CCI in our ICU. Materials and methods This retrospective cohort study was compiled by recruiting patients admitted to our ICU between January 1, 2017, and December 31, 2018. Patients with an ICU stay of more than 21 days were defined as CCI. Patients who did not survive in the first 21 days were excluded from the study because it could be not known whether these patients would progress to CCI. During the study period, 1,166 patients were followed up, and 475 (40%) of them were excluded and 691 patients were included in the final analyses. Results During the study period, 691 patients were included in the study and 152 of them (22%) were CCI. Age, acute physiology and chronic health evaluation (APACHE)-2 score, length of stay, and daily costs were higher in patients with CCI. The cost for a patient with CCI is sixfold that of a patient without CCI. ICU mortality was 47% in patients without CCI and 54% in the CCI patients ( p < 0.001). C onclusion CCI affects an increasing number of patients and leads to increased mortality rates and cost. Prolonged duration in ICU may cause complications such as secondary infections, sepsis episodes, and acute renal injury. The treatment of these complications may lead to increased mortality and cost. How to cite this article Yildirim S, Durmaz Y, Şan Y, Taşkiran İ, Cinleti BA, Kirakli C. Cost of Chronic Critically Ill Patients to the Healthcare System: A Single-center Experience from a Developing Country. Indian J Crit Care Med 2021;25(5):519–523.

BACKGROUND: Disease severity scores are important tools for predicting mortality in intensive care units (ICUs), but conventional disease severity scores may not be suitable for predicting mortality in coronavirus disease-19 (COVID-19) patients. OBJECTIVE: Compare conventional disease severity scores for discriminative power in ICU mortality. DESIGN: Retrospective cohort SETTING: Intensive care unit in tertiary teaching and research hospital. PATIENTS AND METHODS: COVID-19 patients who were admitted to our ICU between 11 March 2020 and 31 December 2021 were included in the study. Patients who died within the first 24 hours were not included. SAPS II, APACHE II and APACHE 4 scores were calculated within the first 24 hours of ICU admission. A receiver operating characteristics (ROC) analysis was performed for discriminative power of disease severity scores. MAIN OUTCOME MEASURE: ICU mortality SAMPLE SIZE AND CHARACTERISTICS: 510 subjects with median (interquartile percentiles) age of 65 (56-74) years. RESULTS: About half (n=250, 51%) died during ICU stay. Three disease severity scores had similar discriminative power, the area under the curve (AUC), SAPS II (AUC 0.79), APACHE II (AUC 0.76), APACHE 4 (AUC 0.78) ( P <.001). Observed mortality was higher than predicted mortality according to conventional disease severity scores. CONCLUSION: Conventional disease severity scores are good indicators of COVID-19 severity. However, they may underestimate mortality in COVID-19. New scoring systems should be developed for mortality prediction in COVID-19. LIMITATION: A single-center study CONFLICT OF INTEREST: None.