RDW-based clinical score to predict long-term survival in community-acquired pneumonia: a European derivation and validation study

Melchio, Remo; Giamello, Jacopo Davide; Testa, Elisa; Iturriaga, Luis Alberto Ruiz; Falcetta, Andrea; Serraino, Cristina; P, Riva; Bracco, Christian; Fernández, Leyre Serrano; Salvatore, Dawn; Leccardi, Stefano; Porta, Massimo; Fenoglio, Luigi

doi:10.1007/s11739-020-02615-6

Cited by 5 publications

(6 citation statements)

References 51 publications

(60 reference statements)

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“…A European cohort study showed that higher RDW increased the risk of mortality and RDW-based clinical score was linked with long-term outcomes in community-acquired pneumonia. 24 One recent study clarified that increased RDW≥13.4% in gastric cancer showed poorer survival. 25 In a cross sectional study with 4152 COVID-19 patients, the mortality of patients elevated RDW was almost three times as those with normal RDW (OR = 3.1, 95% CI: 2.6-3.8).…”

Section: Discussionmentioning

confidence: 99%

“…Most researches highlighted the relationship between elevated level of RDW and worse prognosis. A European cohort study showed that higher RDW increased the risk of mortality and RDW‐based clinical score was linked with long‐term outcomes in community‐acquired pneumonia 24 . One recent study clarified that increased RDW≥13.4% in gastric cancer showed poorer survival 25 .…”

Section: Discussionmentioning

confidence: 99%

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Red cell distribution width and in‐hospital mortality in septic shock: A public database research

Ding

et al. 2022

Int J Lab Hematology

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Objective: This study aimed to explore the relationship between red cell distribution width (RDW) and in-hospital mortality in septic shock based on a large-scale public database.Methods: All patients with septic shock in MIMIC-IV were enrolled. Based on RDW values, the general characteristics of different groups were compared. Different models were constructed for exploring the association of RDW and in-hospital mortality. To assess the predictive value of RDW, receiver operator characteristic (ROC) curve analysis was applied.Results: A total of 3006 patients with septic shock were included and in-hospital mortality was 32.27% (n = 970). The results of the fully adjusted model demonstrated that RDW was positively associated with in-hospital mortality in septic shock patients after adjusting all confounders (OR = 1.12, 95% CI:1.08-1.17, p < .001). A linear relationship between RDW and in-hospital mortality was found. For predicting in-hospital mortality, the area under the ROC curve (AUC) of RDW was .602 and the best threshold of RDW was 17.25%. Conclusion:RDW was associated with in-hospital mortality in septic shock. It could be a useful marker for predicting clinical outcomes in septic shock.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Red cell distribution width and in‐hospital mortality in septic shock: A public database research

Ding

et al. 2022

Int J Lab Hematology

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“…However, the risk factors and prediction models for severe pneumonia in older adult patients are still not well established. Previous studies have reported various factors that may influence the severity and outcome of pneumonia, such as age, gender, comorbidities, smoking, alcohol, nutrition, vaccination, etiology, clinical presentation, laboratory tests, radiological findings, and treatment (8)(9)(10). However, these studies have some limitations of small sample size, single center, or retrospective design.…”

Section: Introductionmentioning

confidence: 99%

Risk factors analysis and prediction model construction for severe pneumonia in older adult patients

Liu,

Jiang,

Zhang

et al. 2024

Front. Public Health

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ObjectivePneumonia is a common and serious infectious disease that affects the older adult population. Severe pneumonia can lead to high mortality and morbidity in this group. Therefore, it is important to identify the risk factors and develop a prediction model for severe pneumonia in older adult patients.MethodIn this study, we collected data from 1,000 older adult patients who were diagnosed with pneumonia and admitted to the intensive care unit (ICU) in a tertiary hospital. We used logistic regression and machine learning methods to analyze the risk factors and construct a prediction model for severe pneumonia in older adult patients. We evaluated the performance of the model using accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and calibration plot.ResultWe found that age, comorbidities, vital signs, laboratory tests, and radiological findings were associated with severe pneumonia in older adult patients. The prediction model had an accuracy of 0.85, a sensitivity of 0.80, a specificity of 0.88, and an AUC of 0.90. The calibration plot showed good agreement between the predicted and observed probabilities of severe pneumonia.ConclusionThe prediction model can help clinicians to stratify the risk of severe pneumonia in older adult patients and provide timely and appropriate interventions.

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“…[8][9][10][11] To date, increasing evidence has shown that RDW is associated with worse outcomes in many diseases, including acute exacerbation of chronic obstructive pulmonary disease, COVID-19, multiple myeloma, heart failure, spontaneous intracerebral hemorrhage, and community-acquired pneumonia. [12][13][14][15][16][17] Recently, Deniz et al 18 revealed the significant predictive value of RDW in mortality among ICU patients. However, the relationship between RDW and outcome of patients with VAP remains unclear.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have demonstrated that RDW is associated with aging, inflammation, oxidative stress, nutritional deficiency, erythropoiesis impairment, and telomere shortening 8–11 . To date, increasing evidence has shown that RDW is associated with worse outcomes in many diseases, including acute exacerbation of chronic obstructive pulmonary disease, COVID‐19, multiple myeloma, heart failure, spontaneous intracerebral hemorrhage, and community‐acquired pneumonia 12–17 . Recently, Deniz et al 18 revealed the significant predictive value of RDW in mortality among ICU patients.…”

Section: Introductionmentioning

confidence: 99%

Association of mean RDW values and changes in RDW with in‐hospital mortality in ventilator‐associated pneumonia (VAP): Evidence from MIMIC‐IV database

Nan,

Li,

Wan

et al. 2023

Int J Lab Hematology

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IntroductionVentilator‐associated pneumonia (VAP) is a hospital‐acquired infection with high mortality, and remains a challenge for clinical treatment. Red blood cell distribution width (RDW) was associated with worse outcomes in several diseases. The purpose of this study was to investigate the relationship between mean RDW values, changes in RDW (delta RDW), and in‐hospital mortality among patients with VAP.MethodsIn the present study, we enrolled 1266 VAP patients from the Medical Information Mart for Intensive Care IV (MIMIC‐IV) database. All patients were categorized into low group, medium group, and high group according to tertiles of mean RDW values. The primary outcome was all‐cause in‐hospital mortality. Univariate logistic regression analysis, multivariate logistic regression analysis, and restricted cubic spline (RCS) curve were performed to determine the association between mean RDW values and in‐hospital mortality in VAP. Moreover, RCS curve was plotted to explore the dose–response relationship between delta RDW and in‐hospital mortality in VAP.ResultsAmong the VAP patients included in the study, the in‐hospital mortality was 20.85% with 264 non‐survivors and 1002 survivors. The non‐survivors exhibited significantly higher mean RDW values and delta RDW values compared to survivors. Multivariate logistic regression analysis indicated that mean RDW values were positively associated with in‐hospital mortality in VAP after adjusting for relevant covariates. The RCS curve demonstrated a dose–response relationship between mean RDW and the mortality in VAP. Moreover, a linear relationship was observed between delta RDW and in‐hospital mortality in VAP.ConclusionHigher mean RDW values were significantly associated with an increased risk of in‐hospital mortality in VAP. Additionally, a linear relationship was found between delta RDW values and in‐hospital mortality. These findings suggest that RDW can be used to identify high‐risk patients with poorer outcomes in VAP.

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RDW-based clinical score to predict long-term survival in community-acquired pneumonia: a European derivation and validation study

Cited by 5 publications

References 51 publications

Red cell distribution width and in‐hospital mortality in septic shock: A public database research

Red cell distribution width and in‐hospital mortality in septic shock: A public database research

Risk factors analysis and prediction model construction for severe pneumonia in older adult patients

Association of mean RDW values and changes in RDW with in‐hospital mortality in ventilator‐associated pneumonia (VAP): Evidence from MIMIC‐IV database

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