Author/Authors :
Oh, Yeseul Department of Internal Medicine - Pusan National University School of Medicine - Busan, Korea , Kang, Yewon Department of Internal Medicine - VHS Medical Center - Busan, Korea , Lee, Kwangha Department of Internal Medicine - Pusan National University School of Medicine - Busan, Korea
Abstract :
Background: The aim of the present study was to develop a prognostic model using demographic characteristics, comorbidities, and clinical variables measured on day 4 of mechanical
ventilation (MV) for patients with prolonged acute mechanical ventilation (PAMV; MV for
>96 hours).
Methods: Data from 437 patients (70.9% male; median age, 68 years) were obtained over a
period of 9 years. All patients were diagnosed with pneumonia. Binary logistic regression identified factors predicting mortality at 90 days after the start of MV. A PAMV prognosis score
was calculating β-coefficient values and assigning points to variables.
Results: The overall 90-day mortality rate was 47.1%. Five factors (age ≥65 years, body mass
index <18.5 kg/m2
, hemato-oncologic diseases as comorbidities, requirement for vasopressors on day 4 of MV, and requirement for neuromuscular blocking agents on day 4 of MV) were
identified as prognostic indicators. Each factor was valued as +1 point and used to develop a
PAMV prognosis score. This score showed acceptable discrimination (area under the receiver
operating characteristic curve of 0.695 for mortality, 95% confidence interval 0.650–0.738,
P<0.001), and calibration (Hosmer–Lemeshow chi-square=6.331, with df 7 and P=0.502).
The cutoff value for predicting mortality based on the maximum Youden index was ≤2 (sensitivity, 87.5%; specificity, 41.3%). For patients with PAMV scores ≤1, 2, 3, and ≥4, the 90-day
mortality rates were 29.2%, 45.7%, 67.9%, and 90.9%, respectively (P<0.001).
Conclusions: Our study developed a PAMV prognosis score for predicting 90-day mortality.
Further research is needed to validate the utility of this score.