Your browser doesn't support javascript.
loading
A Prediction Rule to Identify Severe Cases among Adult Patients Hospitalized with Pandemic Influenza A (H1N1) 2009
Journal of Korean Medical Science ; : 499-506, 2011.
Article in English | WPRIM | ID: wpr-173914
ABSTRACT
The purpose of this study was to establish a prediction rule for severe illness in adult patients hospitalized with pandemic influenza A (H1N1) 2009. At the time of initial presentation, the baseline characteristics of those with severe illness (i.e., admission to intensive care unit, mechanical ventilation, or death) were compared to those of patients with non-severe illnesses. A total of 709 adults hospitalized with pandemic influenza A (H1N1) 2009 were included 75 severe and 634 non-severe cases. The multivariate analysis demonstrated that altered mental status, hypoxia (PaO2/FiO2 or = 65 yr) were independent risk factors for severe cases (all P or = 2 risk factors had a higher sensitivity, specificity, positive predictive value and negative predictive value than an APACHE II score of > or = 13. As a prediction rule, the presence of > or = 2 these risk factors is a powerful and easy-to-use predictor of the severity in adult patients hospitalized with pandemic influenza A (H1N1) 2009.
Subject(s)

Full text: Available Index: WPRIM (Western Pacific) Main subject: Antiviral Agents / Respiration, Artificial / Severity of Illness Index / Predictive Value of Tests / Risk Factors / ROC Curve / APACHE / Influenza, Human / Influenza A Virus, H1N1 Subtype / Pandemics Type of study: Etiology study / Prognostic study / Risk factors Limits: Adult / Aged / Female / Humans / Male Language: English Journal: Journal of Korean Medical Science Year: 2011 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Antiviral Agents / Respiration, Artificial / Severity of Illness Index / Predictive Value of Tests / Risk Factors / ROC Curve / APACHE / Influenza, Human / Influenza A Virus, H1N1 Subtype / Pandemics Type of study: Etiology study / Prognostic study / Risk factors Limits: Adult / Aged / Female / Humans / Male Language: English Journal: Journal of Korean Medical Science Year: 2011 Type: Article