【在宅での敗血症予測スコア】オランダの前向きコホート研究。6つの変数(65歳以上、体温> 38°C、収縮期血圧≤110mmHg、心拍数> 110 /分、飽和度≤95%、精神状態の変化)それぞれ1ポイント。予測性能は,SIRS や qSOFA よりも有意に優れていた. https://t.co/LPEPXzjGyk https://t.co/CCTqBSEObB
Vital signs are vital for diagnosing sepsis. New clinical prediction model for early recognition of sepsis in adult primary care patients: a prospective diagnostic cohort study of development and external validation https://t.co/ZvarewdOky
RT @BJGPjournal: #Sepsis can be accurately predicted by GPs using a new diagnostic model consisting of age, temperature, blood pressure, he…
RT @BJGPjournal: #Sepsis can be accurately predicted by GPs using a new diagnostic model consisting of age, temperature, blood pressure, he…
#Sepsis can be accurately predicted by GPs using a new diagnostic model consisting of age, temperature, blood pressure, heart rate, oxygen saturation, and mental status @theo_verheij https://t.co/xDdYfF3VD7 https://t.co/NlmX1RYkb9
RT @SomersetPICKLS: New clinical prediction model for early recognition of sepsis in adult primary care patients: a prospective diagnostic…
New clinical prediction model for early recognition of sepsis in adult primary care patients: a prospective diagnostic cohort study of development and external validation https://t.co/Jep2VkeQ0c
RT @BJGPjournal: Sepsis in acutely ill adult patients can be accurately predicted by GPs using a simple diagnostic model https://t.co/xDdYf…
RT @BJGPjournal: Sepsis in acutely ill adult patients can be accurately predicted by GPs using a simple diagnostic model https://t.co/xDdYf…
Sepsis in acutely ill adult patients can be accurately predicted by GPs using a simple diagnostic model https://t.co/xDdYfEMkex @theo_verheij #sepsis https://t.co/rQUDUdLPWh
RT @1CommonReader: Pretty simple tool with a C-stat of 0.8; seems useful. New clinical prediction model for early recognition of sepsis in…
Pretty simple tool with a C-stat of 0.8; seems useful. New clinical prediction model for early recognition of sepsis in adult primary care patients: a prospective diagnostic cohort study of development and external validation https://t.co/i8a27xBnjo
RT @enango: プライマリ・ケアにおける敗血症の予測のために開発された6つの変数(年齢>65歳,体温>38℃,収縮期血圧>110 mmHg,心拍数>110/分,飽和度>95%,精神状態の変化)の単純モデルは,C統計量0.80で,qSOFA(0.71),SIRS(0.66…
プライマリ・ケアにおける敗血症の予測のために開発された6つの変数(年齢>65歳,体温>38℃,収縮期血圧>110 mmHg,心拍数>110/分,飽和度>95%,精神状態の変化)の単純モデルは,C統計量0.80で,qSOFA(0.71),SIRS(0.66)に遜色なかった. https://t.co/8iYIJkENj1