Author: Sevinc, Can; Demirci, Recep; Timur, Ozge
Title: Predicting hospital mortality in COVIDâ€19 hemodialysis patients with developed scores Cord-id: g8jpqsxe Document date: 2021_7_28
ID: g8jpqsxe
Snippet: Various risk scores such as COVIDâ€GRAM Critical Illness Risk Score (COVIDâ€GRAM), quick COVIDâ€19 Severity Index (qCSI), and systemic immuneâ€inflammation index (SII) have been developed to determine critical illness in hospitalized patients. None of these risk scoring systems was evaluated in HD patients who indeed carry the highest risk of developing critical illnesses. We aimed to evaluate, in hemodialysis (HD) patients with COVIDâ€19, the performance of these scoring systems for the ne
Document: Various risk scores such as COVIDâ€GRAM Critical Illness Risk Score (COVIDâ€GRAM), quick COVIDâ€19 Severity Index (qCSI), and systemic immuneâ€inflammation index (SII) have been developed to determine critical illness in hospitalized patients. None of these risk scoring systems was evaluated in HD patients who indeed carry the highest risk of developing critical illnesses. We aimed to evaluate, in hemodialysis (HD) patients with COVIDâ€19, the performance of these scoring systems for the need of intensive care unit (ICU) and mortality. The qCSI, COVIDâ€GRAM, and SII scores of the patients at admission to hospital were calculated and grouped according to the scoring results. The primary outcome of the study was mortality and need of ICU. Critical illness was described as a composition of admission to the ICU, invasive ventilation, or death. It was determined that when the qCSI is over 6.5, the need for ICU increased 13.8 times and mortality increased 21.3 times. When the COVIDâ€GRAM score is >157, the ICU need increased 14.7 times and the mortality increased 33.7 times. We found that the need for ICU increased 4.2 times and mortality increased 3.1 times when the SII score was >1145. These tests, which can be easily calculated, could be used to estimate the risk of developing critical illness among COVIDâ€19 HD patients. Estimating the risk of critical illness could help to reduce mortality in HD patients.
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