Factors predicting long-term survival of patients with sepsis on arrival at the emergency department
| Autor: | Roh, Jiyeon, Jo, Eun-Jung, Eom, Jung Seop, Mok, Jeongha, Kim, Mi Hyun, Kim, Ki Uk, Park, Hye-Kyung, Lee, Min Ki, Yeom, Seokran, Lee, Kwangha |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Aged 80 and over Male emergency department Age Factors Observational Study Comorbidity Length of Stay Middle Aged Respiration Artificial Shock Septic Survival Analysis Body Mass Index sepsis Intensive Care Units Young Adult Humans Female long-term prognosis Hospital Mortality Emergency Service Hospital Research Article APACHE Aged |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| Popis: | Predicting long-term outcomes after sepsis is important when caring for patients with this condition. The purpose of the present study was to develop models predicting long-term mortality of patients with sepsis, including septic shock. Retrospective data from 446 patients with sepsis (60.8% men; median age, 71 years) treated at a single university-affiliated tertiary care hospital over 3 years were reviewed. Binary logistic regression was used to identify factors predicting mortality at 180 and 365 days after arrival at the emergency department. Long-term prognosis scores for the 180- and 365-day models were calculated by assigning points to variables according to their β coefficients. The 180- and 365-day mortality rates were 40.6% and 47.8%, respectively. Multivariate analysis identified the following factors for inclusion in the 180- and 365-day models: age ≥65 years, body mass index ≤18.5 kg/m2, hemato-oncologic diseases as comorbidities, and ventilator care. Patients with scores of 0 to ≥3 had 180-day survival rates of 83.8%, 70.8%, 42.3%, and 25.0%, respectively, and 365-day survival rates of 72.1%, 64.6%, 36.2%, and 15.9%, respectively (all differences P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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