A Statistical Model for Early Recognition of Patients Requiring Transfer to Palliative Care (ERPAC)

To develop a scoring system to identify patients at an early stage who will need palliative care during intensive care follow-up. Analytical study. Ankara City Hospital, Neurology and Orthopaedics Hospital, General Intensive Care Unit, Ankara, Turkiye, from June 2019 to March 2020. Intensive care patients were enrolled and divided into palliative care transfer (p1) and nontransfer groups (p2). The predicted logit value / probality score was calculated and a scoring system was developed, using the formula value, [logit= -3.275 + 0.194 (days of hospitalisation) - 0.345 (SOFAmax) +1.659 (ward admission) + 2.08 (cancer)]. One hundred and thirty five patients were analysed. Sixty-eight (50.4%) were males. The mean age was 67.2 ± 17.2 years. Length of hospital stay (p