Red cell distribution width/albumin ratio is associated with 60-day mortality in patients with acute respiratory distress syndrome

Yoo, Jung‐Wan; Ju, Sunmi; Lee, Seung Jun; Cho, Yu Ji; Lee, Jong Deog; Kim, Ho Cheol

doi:10.1080/23744235.2020.1717599

Cited by 39 publications

(37 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Notably, there was no difference in RDW/albumin ratio between the two groups, which was inconsistent with the results from a previous study. This study showed that the RDW/albumin ratio was significantly associated with 60-day mortality in ARDS patients [13]. In addition, we also found that the integration of MLR and NLR indicators may lead to improved prediction.…”

Section: Discussionsupporting

confidence: 58%

“…Clinical and animal studies have shown that the activation of multiple inflammatory cells and the release of inflammatory mediators contribute to the development and progression of ARDS [10], and the associations between ARDS and inflammatory biomarkers, such as IL-18, red blood cell distribution width (RDW)/albumin ratio, and neutrophil-to-lymphocyte ratio (NLR), have been explored [11][12][13]. Monocyte-to-lymphocyte ratio (MLR) is the absolute monocyte count divided by the absolute lymphocyte count and has been demonstrated to be a novel hematological and inflammatory parameter.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Monocyte-to-lymphocyte ratio is associated with 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study

Yang

Gao

et al. 2021

j intensive care

View full text Add to dashboard Cite

Background Systemic inflammation relates to the initiation and progression of acute respiratory distress syndrome (ARDS). Neutrophil-to-lymphocyte ratio (NLR) and red blood cell distribution width (RDW)/albumin ratio have been reported to be predictive prognostic biomarkers in ARDS patients. However, the role of monocyte-to-lymphocyte ratio (MLR) as a prognostic inflammatory biomarker in a variety of diseases is rarely mentioned in ARDS. In this study, we explored the relationship between MLR and disease severity in ARDS patients and compared it with other indicators associated with 28-day mortality in patients with ARDS. Methods We retrospectively included 268 patients who fulfilled the Berlin definition of ARDS and were admitted to a single institute from 2016 to 2020. Clinical characteristics and experimental test data were collected from medical records within 24 h after the ARDS diagnosis. MLR, NLR, and RDW/albumin ratio levels were calculated. The primary clinical outcome was 28-day mortality. Logistic regression analysis was used to illustrate the relationship between indicators and 28-day mortality. Receiver operating characteristic (ROC) curve was used to evaluate the area under the curve (AUC), and propensity score matching (PSM) was employed to validate our findings. Results The median MLR values were higher for non-survivors than for survivors before and after matching (P<0.001, P=0.001, respectively). MLR values were significantly associated with 28-day mortality (OR 2.956; 95% CI 1.873–4.665; P<0.001). MLR and NLR indicators were combined for predictive efficacy analysis, and its AUC reached 0.750. There was a significant increase in 28-day mortality depending on the increasing MLR level: low MLR group 38 (20.4%), high MLR group 47 (57.3%) (P<0.001). Conclusions Higher MLR values were associated with 28-day mortality in patients with ARDS. Further investigation is required to verify this relationship with prospectively collected data.

show abstract

Section: Discussionsupporting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Monocyte-to-lymphocyte ratio is associated with 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study

Yang

Gao

et al. 2021

j intensive care

View full text Add to dashboard Cite

show abstract

“…The main features that influenced model prediction of a poor outcome included: low albumin, high red cell distribution width (RDW), and high creatinine. RDW and albumin have been associated with mortality, and have been used as prognostic markers in a number of studies 17 – 24 . This ranking shown partly in Fig.…”

Section: Resultsmentioning

confidence: 99%

“…The main factors that were identified as increasing risk included: red cell distribution width, albumin, and creatinine. Red cell distribution width and albumin have been associated with mortality, and have been used as prognostic markers in a number of studies 17 – 24 . The Charlson Comorbidity Index has also been found to predict mortality in various medical situations 25 , 26 .…”

Section: Discussionmentioning

confidence: 99%

Predicting bloodstream infection outcome using machine learning

Zoabi

Kehat

Lahav

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Bloodstream infections (BSI) are a main cause of infectious disease morbidity and mortality worldwide. Early prediction of BSI patients at high risk of poor outcomes is important for earlier decision making and effective patient stratification. We developed electronic medical record-based machine learning models that predict patient outcomes of BSI. The area under the receiver-operating characteristics curve was 0.82 for a full featured inclusive model, and 0.81 for a compact model using only 25 features. Our models were trained using electronic medical records that include demographics, blood tests, and the medical and diagnosis history of 7889 hospitalized patients diagnosed with BSI. Among the implications of this work is implementation of the models as a basis for selective rapid microbiological identification, toward earlier administration of appropriate antibiotic therapy. Additionally, our models may help reduce the development of BSI and its associated adverse health outcomes and complications.

show abstract

“…RDW played a significant predictive role, although its AUCs were slightly less than that of the APACHE IV score, which is a precisely designed, widely used scoring system. RDW has been found to be a prognostic factor of mortality for many serious diseases, such as acute ischemic stroke, heart failure, acute respiratory distress syndrome, acute kidney injury, hip fracture, and cancer [22][23][24][25][26][27], even in a cohort of clinically diverse, multi-condition hospitalized patients [28]. Moreover RDW was associated with mortality risk in hospitalized adults infected with SARS-CoV-2 [10].…”

Section: Discussionmentioning

confidence: 99%

Red blood cell distribution width predicts in-hospital mortality in patients with a primary diagnosis of seizures in the ICU: a retrospective database study

She

Chen

et al. 2021

Neurol Sci

View full text Add to dashboard Cite

The aim of this study was to determine the predictive value of red blood cell distribution width (RDW) in patients with a primary diagnosis of seizures admitted to the intensive care unit (ICU) in terms of in-hospital mortality. Methods This was a retrospective study of the eICU Collaborative Research Database of adult patients (aged 18-88 years) with a primary diagnosis of seizures in 2014 and 2015. The prognostic value of RDW was investigated using a receiver operating characteristic (ROC) curve, multiple logistic regression model, and net reclassification index (NRI). Results We identified 1568 patients who met the inclusion criteria. High RDW was significantly correlated with in-hospital mortality after adjusting for potential confounders with an odds ratio (OR) of 3.513 (95% confidence interval [CI]:1.699-7.266). The area under the ROC curve of RDW for in-hospital mortality was 0.7225. Compared with the prediction of in-hospital mortality using APACHE IV score alone, the continuous NRI with the RDW variable was 0.3507 (95%CI: 0.0584-0.6431, p < 0.05). The length of stay in the ICU of patients with an RDW >14.65% was significantly increased compared to those with normal RDW (log-rank test, p < 0.0001). Conclusion RDW width can be useful for prediction of in-hospital mortality in patients with seizures admitted to the ICU, and it provides additional prognostic value beyond the APACHE IV score alone.

show abstract

Red cell distribution width/albumin ratio is associated with 60-day mortality in patients with acute respiratory distress syndrome

Cited by 39 publications

References 22 publications

Monocyte-to-lymphocyte ratio is associated with 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study

Monocyte-to-lymphocyte ratio is associated with 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study

Predicting bloodstream infection outcome using machine learning

Red blood cell distribution width predicts in-hospital mortality in patients with a primary diagnosis of seizures in the ICU: a retrospective database study

Contact Info

Product

Resources

About