Author: Sun, Wei; Luo, Zujin; Jin, Jiawei; Cao, Zhixin; Ma, Yingmin
Title: The Neutrophil/Lymphocyte Ratio Could Predict Noninvasive Mechanical Ventilation Failure in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Retrospective Observational Study Cord-id: wyuq1wg8 Document date: 2021_8_5
ID: wyuq1wg8
Snippet: PURPOSE: To determine the effectiveness of neutrophil/lymphocyte ratio (NLR), compared to traditional inflammatory markers, for predicting noninvasive mechanical ventilation (NIMV) failure in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients. PATIENTS AND METHODS: We conducted this retrospective observational study including 212 AECOPD patients who required NIMV during hospitalization from January 2015 to December 2020 in the department of respiratory and critical car
Document: PURPOSE: To determine the effectiveness of neutrophil/lymphocyte ratio (NLR), compared to traditional inflammatory markers, for predicting noninvasive mechanical ventilation (NIMV) failure in acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients. PATIENTS AND METHODS: We conducted this retrospective observational study including 212 AECOPD patients who required NIMV during hospitalization from January 2015 to December 2020 in the department of respiratory and critical care medicine of Beijing Chao-Yang Hospital (west campus). We reviewed the medical record to determine if NIMV succeeded or failed for each patient, and compared NLR with traditional markers (leukocyte, C-reactive protein [CRP] and procalcitonin [PCT]) between NIMV failure and NIMV success group. Receiver-operating characteristic (ROC) curve and multivariate logistic regression analysis were used to assess the accuracy of these markers for predicting NIMV failure. RESULTS: A total of 38 (17.9%) patients experienced NIMV failure. NLR was a more sensitive biomarker to predict NIMV failure (AUC, 0.858; 95% CI 0.785–0.931) than leukocyte counts (AUC, 0.723; 95% CI 0.623–0.823), CRP (AUC, 0.670; 95% CI 0.567–0.773) and PCT (AUC, 0.719; 95% CI 0.615–0.823). There was statistically positive correlation between NLR and leukocytes count (r=0.35, p<0.001), between NLR and CRP (r=0.258, p<0.001), between NLR and PCT (r=0.306, p<0.001). The cutoff value of NLR to predict NIMV failure was 8.9 with sensitivity 0.688, specificity 0.886 and diagnostic accuracy 0.868. NLR>8.9 (odds ratio, 10.783; 95% CI, 2.069–56.194; P=0.05) was an independent predictor of NIMV failure in the multivariate logistic regression model. CONCLUSION: NLR may be an effective marker for predicting NIMV failure in AECOPD patients, and the patients with NLR>8.9 should be handled with caution since they are at higher risk of NIMV failure and require intubation. Further study with a larger sample size and with more data is necessary to confirm our study.
Search related documents:
Co phrase search for related documents- absolute predict and logistic regression: 1, 2
- absolute predict and logistic regression analysis: 1
- absolute value and admission time: 1, 2, 3
- absolute value and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9
- absolute value and logistic regression analysis: 1, 2, 3, 4
- absolute value and logistic regression analysis multivariate: 1
- acute exacerbation and admission time: 1, 2, 3
- acute exacerbation and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- acute exacerbation and logistic regression analysis: 1, 2, 3, 4
- acute exacerbation and logistic regression analysis multivariate: 1
- acute exacerbation and long term oxygen therapy: 1
- acute physiology and admission time: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
- acute physiology and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute physiology and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
- acute physiology and logistic regression analysis multivariate: 1, 2, 3, 4, 5, 6, 7, 8
- admission time and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- admission time and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- admission time and logistic regression analysis multivariate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Co phrase search for related documents, hyperlinks ordered by date