Selected article for: "ICU admission and illness severity score"

Author: Sevinc, Can; Demirci, Recep; Timur, Ozge
Title: Predicting hospital mortality in COVID‐19 hemodialysis patients with developed scores
  • Cord-id: g8jpqsxe
  • Document date: 2021_7_28
  • ID: g8jpqsxe
    Snippet: Various risk scores such as COVID‐GRAM Critical Illness Risk Score (COVID‐GRAM), quick COVID‐19 Severity Index (qCSI), and systemic immune‐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 COVID‐19, the performance of these scoring systems for the ne
    Document: Various risk scores such as COVID‐GRAM Critical Illness Risk Score (COVID‐GRAM), quick COVID‐19 Severity Index (qCSI), and systemic immune‐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 COVID‐19, the performance of these scoring systems for the need of intensive care unit (ICU) and mortality. The qCSI, COVID‐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 COVID‐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 COVID‐19 HD patients. Estimating the risk of critical illness could help to reduce mortality in HD patients.

    Search related documents:
    Co phrase search for related documents
    • abnormal chest and admission time: 1, 2, 3, 4
    • abnormal chest and logistic regression analysis: 1, 2, 3, 4
    • abnormal chest and low intermediate: 1
    • abnormal chest and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • abnormal chest and lymphocyte count platelet count: 1
    • abnormal chest and lymphocyte ratio: 1, 2, 3, 4, 5
    • absolute neutrophil count and admission time: 1, 2, 3
    • absolute neutrophil count and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7
    • absolute neutrophil count and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • absolute neutrophil count and lymphocyte count platelet count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • absolute neutrophil count and lymphocyte count platelet count neutrophil count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • absolute neutrophil count and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • admission time and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • admission time and low intermediate: 1, 2, 3, 4, 5, 6
    • admission time and low intermediate risk: 1, 2, 3
    • admission time and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • admission time and lymphocyte count platelet count: 1, 2, 3, 4, 5
    • admission time and lymphocyte count platelet count neutrophil count: 1
    • admission time and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25