Can Microalbuminuria Predict the Outcome (Mortality) in Critically ill Patients? A Hospital-based, Prospective, Observational Study

被引:1
作者
Gagarin, P. Yuri [1 ]
Ramesh, R. [1 ]
Abinaya, V. [2 ]
机构
[1] Velammal Med Coll Hosp & Res Inst, Dept Gen Med, Madurai, Tamil Nadu, India
[2] Velammal Med Coll Hosp & Res Inst, Madurai, Tamil Nadu, India
关键词
Micro albumin; Critically ill; Mortality; Prediction;
D O I
10.17354/ijss/2016/419
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background: Complex scores, such as Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, are highly reliable methods of to predict the mortality in critically ill patients. However, due to their complex nature intense resource requirements, their utility is limited in resource-poor settings like India. Hence, low-cost reliable markers like microalbuminuria can be utilized in such situations. Hence, the present study intends to assess the role of microalbuminuria in predicting the mortality among critically ill patients. Materials and Methods: The study was a prospective observational study, conducted in a medical-surgical intensive care unit (ICU) of a private tertiary care teaching hospital. A total of 50 adult patients (>18 years) with a stay in the ICU for more than 24 h were included. For disease severity scoring, urinary microalbumin will be measured using the immunoturbidimetric method with an albumin creatinine ratio cutoff of 30-300 mg/L. Results: The mean microalbumin level was 25.39 g/dl higher in people who met with mortality, compared to people who survived (95% confidence interval [CI]: 43.57-94.37, P < 0.463), which was statistically not significant. The mean microalbumin level was 25.39 g/dl higher in people who met with mortality, compared to people who survived (95% CI: 43.57-94.37, P = 0.463), which was statistically not significant. The area under receiver operating characteristic curve for microalbumin in predicting mortality was 0.59 (95% CI: 0.41-0.772, P = 0.398) and was very close to the null value of 0.5% and 95% CI included the null value of 0.5. Conclusions: To conclude, the findings reveal that microalbuminuria weakly correlated with the mortality of the ICU patients and that the APACHE II scores may be more reliable and accurate measure, though it employs cumbersome data collection methods and complex statistical analysis.
引用
收藏
页码:6 / 10
页数:5
相关论文
共 16 条
[1]   Predictive value of microalbuminuria in medical ICU patients - Results of a pilot study [J].
Abid, O ;
Sun, QH ;
Sugimoto, K ;
Merean, D ;
Vincent, JL .
CHEST, 2001, 120 (06) :1984-1988
[2]   Daily-Mean-SOFA, a New Derivative to Increase Accuracy of Mortality Prediction in Cardiac Surgical Intensive Care Units [J].
Badreldin, Akmal ;
Elsobky, Sherif ;
Lehmann, Thomas ;
Brehm, Bernhard B. ;
Doenst, Torsten ;
Hekmat, Khosro .
THORACIC AND CARDIOVASCULAR SURGEON, 2012, 60 (01) :43-50
[3]   Microalbuminuria: An inexpensive, non invasive bedside tool to predict outcome in critically ill patients [J].
Basu S. ;
Chaudhuri S. ;
Bhattacharyya M. ;
Chatterjee T.K. ;
Todi S. ;
Majumdar A. .
Indian Journal of Clinical Biochemistry, 2010, 25 (2) :146-152
[4]   Red cell distribution width and all-cause mortality in critically ill patients [J].
Bazick, Heidi S. ;
Chang, Domingo ;
Mahadevappa, Karthik ;
Gibbons, Fiona K. ;
Christopher, Kenneth B. .
CRITICAL CARE MEDICINE, 2011, 39 (08) :1913-1921
[5]   Elevation of blood urea nitrogen is predictive of long-term mortality in critically ill patients independent of "normal" creatinine [J].
Beier, Kevin ;
Eppanapally, Sabitha ;
Bazick, Heidi S. ;
Chang, Domingo ;
Mahadevappa, Karthik ;
Gibbons, Fiona K. ;
Christopher, Kenneth B. .
CRITICAL CARE MEDICINE, 2011, 39 (02) :305-313
[6]   CD8+ T-cell counts: an early predictor of risk and mortality in critically ill immunocompromised patients with invasive pulmonary aspergillosis [J].
Cui, Na ;
Wang, Hao ;
Long, Yun ;
Liu, Dawei .
CRITICAL CARE, 2013, 17 (04)
[7]   Does microalbuminuria predict illness severity in critically ill patients on the intensive care unit? - A systematic review [J].
Gopal, Shameer ;
Carr, Bryan ;
Nelson, Paul .
CRITICAL CARE MEDICINE, 2006, 34 (06) :1805-1810
[8]   Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and Influence of Resuscitation Status on Model Performance [J].
Keegan, Mark T. ;
Gajic, Ognjen ;
Afessa, Bekele .
CHEST, 2012, 142 (04) :851-858
[9]   Mortality prediction using SAPS II: an update for French intensive care units [J].
Le Gall, JR ;
Neumann, A ;
Hemery, F ;
Bleriot, JP ;
Fulgencio, JP ;
Garrigues, B ;
Gouzes, C ;
Lepage, E ;
Moine, P ;
Villers, D .
CRITICAL CARE, 2005, 9 (06) :R645-R652
[10]   Use of microalbuminuria as a predictor of outcome in critically ill patients [J].
MacKinnon, KL ;
Molnar, Z ;
Lowe, D ;
Watson, ID ;
Shearer, E .
BRITISH JOURNAL OF ANAESTHESIA, 2000, 84 (02) :239-241