Low creatinine levels may be predictive for prolonged ventilation in the ICU patients

Author(s):  
Slavica Kvolik
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Woo Moon ◽  
Song Yee Kim ◽  
Ji Soo Choi ◽  
Ah Young Leem ◽  
Su Hwan Lee ◽  
...  

AbstractIn elderly ICU patients, the prevalence of skeletal muscle loss is high. Longitudinal effect of thoracic muscles, especially in elderly ICU patients, are unclear although skeletal muscle loss is related with the short- and long-term outcomes. This study aimed to evaluate whether pectoralis muscle mass loss could be a predictor of prognosis in elderly ICU patients. We retrospectively evaluated 190 elderly (age > 70 years) patients admitted to the ICU. We measured the cross-sectional area (CSA) of the pectoralis muscle (PMCSA) at the fourth vertebral region. CT scans within two days before ICU admission were used for analysis. Mortality, prolonged mechanical ventilation, and longitudinal changes in Sequential Organ Failure Assessment (SOFA) scores were examined. PMCSA below median was significantly related with prolonged ventilation (odds ratio 2.92) and a higher SOFA scores during the ICU stay (estimated mean = 0.94). PMCSA below median was a significant risk for hospital mortality (hazards ratio 2.06). In elderly ICU patients, a low ICU admission PMCSA was associated with prolonged ventilation, higher SOFA score during the ICU stay, and higher mortality. Adding thoracic skeletal muscle CSA at the time of ICU admission into consideration in deciding the therapeutic intensity in elderly ICU patients may help in making medical decisions.


2021 ◽  
Author(s):  
Sung Woo Moon ◽  
Song Yee Kim ◽  
Ji Soo Choi ◽  
Ah Young Leem ◽  
Su Hwan Lee ◽  
...  

Abstract Background: In elderly ICU patients, the prevalence of skeletal muscle loss is high. And the consequences of skeletal muscle loss can be severe in elderly. Correlations have been found between the muscle cross-sectional area (CSA) at a single thoracic level on chest computed tomography (CT). Correlation between thoracic muscle mass and mortality has been found in ICU patients. But longitudinal effect of thoracic muscles especially in elderly ICU patients are unclear although skeletal muscle loss is related with the short- and long-term outcomes. Objective: This study aimed to evaluate whether pectoralis muscle mass could be a predictor of prognosis in elderly ICU patients.Methods: We retrospectively evaluated 190 elderly patients admitted in the ICU between January 2010 and December 2015 in one tertiary care hospital in South Korea. We measured the CSA of the pectoralis muscle area (PMCSA) at the fourth vertebral region. CT scans within two days before ICU admission were used for analysis. Mortality, prolonged mechanical ventilation, and longitudinal change in Sequential Organ Failure Assessment (SOFA) scores were examined. Multivariate logistic regression, linear mixed, and multivariate Cox proportional hazards models were used.Results: PMCSA below median was significantly related with prolonged ventilation. (odds ratio 2.92, 95% CI: 1.02-1.42, P=0.06) and a higher SOFA score during the ICU stay (estimated mean = 0.94, P = 0.03). PMCSA below median was a significant risk for all-cause mortality (HR: 2.06, 95% CI: 1.23-3.47, P=0.01)Conclusions: In elderly ICU patients, low ICU admission PMCSA was associated with prolonged ventilation, a higher SOFA score during the ICU stay and higher mortality. Adding thoracic skeletal muscle CSA at the time of ICU admission into consideration in deciding therapeutic intensity in elderly ICU patients may help in making medical decisions.


2017 ◽  
Vol 20 (1) ◽  
pp. 007 ◽  
Author(s):  
Eric Stephen Wise ◽  
David P. Stonko ◽  
Zachary A. Glaser ◽  
Kelly L. Garcia ◽  
Jennifer J. Huang ◽  
...  

Objectives: The need for mechanical ventilation 24 hours after coronary artery bypass grafting (CABG) is considered a morbidity by the Society of Thoracic Surgeons. The purpose of this investigation was twofold: to identify simple preoperative patient factors independently associated with prolonged ventilation and to optimize prediction and early identification of patients prone to prolonged ventilation using an artificial neural network (ANN).Methods: Using the institutional Adult Cardiac Database, 738 patients who underwent CABG since 2005 were reviewed for preoperative factors independently associated with prolonged postoperative ventilation. Prediction of prolonged ventilation from the identified variables was modeled using both “traditional” multiple logistic regression and an ANN. The two models were compared using Pearson r2 and area under the curve (AUC) parameters.Results: Of 738 included patients, 14% (104/738) required mechanical ventilation ≥ 24 hours postoperatively. Upon multivariate analysis, higher body-mass index (BMI; odds ratio [OR] 1.10 per unit, P < 0.001), lower ejection fraction (OR 0.97 per %, P = 0.01) and use of cardiopulmonary bypass (OR 2.59, P = 0.02) were independently predictive of prolonged ventilation. The Pearson r2 and AUC of the multivariate nominal logistic regression model were 0.086 and 0.698 ± 0.05, respectively; analogous statistics of the ANN model were 0.159 and 0.732 ± 0.05, respectively.BMI, ejection fraction and cardiopulmonary bypass represent three simple factors that may predict prolonged ventilation after CABG. Early identification of these patients can be optimized using an ANN, an emerging paradigm for clinical outcomes modeling that may consider complex relationships among these variables.


Sign in / Sign up

Export Citation Format

Share Document