We extracted the data of this retrospective study from the MIMIC-III version 1.4 (MIMIC-III v1.4) database. The aim of this study was to investigate the relationship between PNI and the prognosis of AECOPD patients in the ICU from the Medical Information Mart for Intensive Care-III (MIMIC-III) database and to make comparisons with serum albumin alone, neutrophil-to-lymphocyte (NLR) ratio, and platelet-to-lymphocyte (PLR) ratio. However, to the best of our knowledge, no study has evaluated the predictive value of PNI in AECOPD patients. Recently, it has been described as an accurate and independent prognostic predictor in human cancers, chronic kidney and heart disease, and autoimmune disease. PNI was initially developed to evaluate preoperative nutritional conditions and surgical complications in patients with gastrointestinal cancers. The prognostic nutritional index (PNI), a new prognostic score, is calculated by serum albumin concentration and peripheral total lymphocyte count. In terms of the severity of AECOPD, early risk evaluation is critical, so it is important to find a biomarker that can reflect both the inflammation and nutritional status of the patients. Malnutrition significantly increases the risk of exacerbation, length of hospital stay, and costs. Malnutrition is also common among patients with COPD, occurring in 10–45% of such patients. When AECOPD occurs, it is necessary to transfer the patient to the Intensive Care Unit (ICU) due to its high mortality. Acute exacerbation of COPD (AECOPD) is significantly associated with poor outcome of patients with COPD. It is a global epidemic respiratory disease and affects millions of people worldwide, estimated to become one of the major causes of death by 2040. Keywords: Medical Informatics, Nutrition Assessment, Pulmonary Disease, Chronic ObstructiveĬhronic obstructive pulmonary disease (COPD) is a common chronic airway inflammation featuring persistent respiratory symptoms and airflow limitation. The area under the ROC of PNI (0.642, 95% CI, 0.560 to 0.717) was better than that of serum albumin, NLR, and PLR.ĬONCLUSIONS: PNI could serve as a simple and reliable prognostic biomarker for AECOPD patients in the ICU. The cut-off value of PNI was 31.8 with sensitivity 62.3% and specificity 64.1%. Kaplan-Meier analysis showed ongoing divergence in rates of mortality among tertiles ( p70 years and with mechanical ventilation. RESULTS: A total of 494 AECOPD patients were included in this study. Receiver operator characteristic (ROC) curve analysis was performed to evaluate the predictive accuracy among PNI, serum albumin, neutrophil-to-lymphocyte (NLR), and platelet-to-lymphocyte ratio (PLR). Subgroup analyses were performed to identify the consistency of the association. Cox proportional hazard regressions were performed to assess the association between PNI and 30-day mortality. Patients were divided into 3 groups according to the tertiles of PNI.
MATERIAL AND METHODS: Clinical data were extracted from the Medical Information Mart for Intensive Care-III (MIMIC-III) database. The current study aimed to investigate the predictive ability of the prognostic nutritional index (PNI) in 30-day mortality among AECOPD patients admitted to the ICU.
doi: 10.1007/s0013-6.BACKGROUND: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is significantly associated with increased mortality. Multi-site and multi-depth near-infrared spectroscopy in a model of simulated (central) hypovolemia: lower body negative pressure. doi: 10.1016/j.siny.2010.05.003.īartels SA, Bezemer R, de Vries FJ, Milstein DM, Lima A, Cherpanath TG, van den Meiracker AH, van Bommel J, Heger M, Karemaker JM, Ince C. Near-infrared spectroscopy: a methodology-focused review. Yearbook of intensive care and emergency medicine. Hepatosplanchnic failure: splanchnic perfusion and oxygenation in critical illness. The effects of levosimendan and glibenclamide on circulatory and metabolic variables in a canine model of acute hypoxia. Schwarte LA, Schwartges I, Thomas K, Schober P, Picker O. Can near-infrared spectroscopy identify the severity of shock in trauma patients? J Trauma. Crookes BA, Cohn SM, Bloch S, Amortegui J, Manning R, Li P, Proctor MS, Hallal A, Blackbourne LH, Benjamin R, Soffer D, Habib F, Schulman CI, Duncan R, Proctor KG.
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