| Literature DB >> 26765452 |
Chih-Cheng Lai1, Shian-Chin Ko, Chin-Ming Chen, Shih-Feng Weng, Kuei-Ling Tseng, Kuo-Chen Cheng.
Abstract
This study investigated the outcomes and the prognostic factors among the very elderly (patients ≥80 years old) requiring prolonged mechanical ventilation (PMV).Between 2006 and 2014, all of the very elderly patients of age 80 or more transferred to respiratory care center (RCC) of a tertiary medical center were retrospectively identified, and only patients who used mechanical ventilation (MV) for >3 weeks were included in this study.A total of 510 very elderly patients undergoing PMV were identified. The mean age of the patients was 84.3 ± 3.3 years, and it ranged from 80 to 96 years. Male comprised most of the patients (n = 269, 52.7%), and most of the patients were transferred to RCC from medical ICU (n = 357, 70.0%). The APACHE II scores on RCC admission was 17.6 ± 6.0. At least 1 comorbidity was found in 419 (82.2%) patients. No significant differences of gender, disease severity, diagnosis, dialysis, laboratory examinations, comorbidities, and outcome were found between octogenarians (aged 80-89) and nonagenarians (aged ≥ 90). The overall in-hospital mortality rate was 21.8%. In the multivariate analysis, patients who had APACHE II score ≥ 15(odds ratio [OR], 2.30, 95% confidence interval [CI], 1.36-3.90), or albumin ≤ 2 g/dL (OR, 3.92, 95% CI, 2.17-7.01) were more likely to have significant in-hospital mortality (P < 0.05).The in-hospital mortality rate of the very elderly PMV patients in our RCC is 21.8%, and poor outcomes in this specific population were found to be associated with a higher APACHE II score and lower albumin level.Entities:
Mesh:
Year: 2016 PMID: 26765452 PMCID: PMC4718278 DOI: 10.1097/MD.0000000000002479
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Demographic Characteristics of 510 Very Elderly Patients Required Prolonged Mechanical Ventilation
FIGURE 1Annual cases of the very elderly requiring prolonged mechanical ventilation.
FIGURE 2Annual case number and rate of mortality.
Risk Factors Associated With In-Hospital Mortality Determined by Using Logistic Regression