Can red blood cell distribution width (RDW) level predict the severity of acute exacerbation of chronic obstructive pulmonary disease (AECOPD)?

Bekir, Sümeyye Alparslan; Tunçay, Eylem; Güngör, Sinem; Yalçınsoy, Murat; Soğukpınar, Özlem; Gundogus, Baran; Aksoy, Emine; Ağca, Meltem; Altunbey, Sinem Agca; Türker, Hatice; Karakurt, Zühal

doi:10.1111/ijcp.14730

Cited by 13 publications

(7 citation statements)

References 23 publications

(47 reference statements)

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“…In a research on intrahepatic cholangiocarcinoma, patients with low levels of RDW were more likely to be with poor survival after curative resection 27 . Another research in Turkey found that in most patients with chronic obstructive pulmonary disease (COPD) exacerbations, the values of RDW were under the normal range and lower RDW was associated with disease severity 28 . It could be partly explained by the differences in the general characteristics between the cohorts in different studies.…”

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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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%

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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“…Still, it it also leads to COPD patients death. [3][4][5] Heart failure is one of the most essential comorbidities in patients with AECOPD. COPD patients with systolic or diastolic heart failure have been reported to have a prevalence of 20% to 70%, with higher rates of hospitalization and mortality compared to patients without heart failure.…”

Section: Introductionmentioning

confidence: 99%

Construction and validation of nomogram prediction model for risk of acute heart failure in patients with acute exacerbation of chronic obstructive pulmonary disease

Yan,

Chen,

Wei

et al. 2024

Medicine

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To investigate the influencing factors of in-hospital acute heart failure (AHF) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD), and to construct and validate a risk prediction nomogram model. Three Hundred Thirty patients with AECOPD admitted to our hospital from June 2020 to June 2023 were retrospectively analyzed as a training set for the construction of the model. Three Hundred Twenty-five AECOPD patients admitted to the Second People’s Hospital of Hefei from 2006 to June 2023 were also collected as the validation set for the validation of the model. A nomogram model was constructed to predict the risk of nosocomial AHF in patients with AECOPD, and C-index and receiver operating characteristic curve were drawn to assess the predictive predictive efficacy of the model. Model fit was evaluated by Hosmer–Lemeshow test, calibration curve was drawn to evaluate the calibration of the model; decision curve was drawn to analyze the net benefit rate of this nomogram model. Multivariate logistic regression analysis indicated that body mass index, mmRC grade, neutrophils, lymphocytes, hemoglobin, creatinine, PO2, PCO2, and Homocysteine were independent risk factors for in-hospital AHF in patients with AECOPD. To construct a nomogram model for risk prediction of in-hospital AHF in patients with AECOPD. The C-index of the training set was 0.949 (95% CI: 0.91–0.961); the C-index of the validation set was 0.936 (95% CI: 0.911–0.961) suggesting good model discrimination. The receiver operating characteristic curve calculated area under curve for the training set was 0.949 (95% CI: 0.928–0.97); area under curve for the validation set was 0.936 (95% CI: 0.91–0.961) suggesting good model accuracy. The results of Hosmer-Lemeshoe goodness-of-fit test and calibration curve analysis showed that the calibration curve of this nomogram model was close to the ideal curve. The clinical decision curve also showed good clinical net benefit of the nomogram model. Body mass index, mmRC grade, neutrophils, lymphocytes, hemoglobin, creatinine, PO2, PCO2, and Homocysteine are risk factors for in-hospital AHF in AECOPD patients, and nomogram models constructed based on the above factors have some predictive value for in-hospital AHF in AECOPD patients. It is also vital for nursing staff to strengthen nursing care.

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“…RDW mainly reacts to the coefficient of variation of red blood cells and is affected by chronic inflammation, oxidative stress, nutrient deficiency, and other factors. RBC distribution width is now widely used for the prognostic diagnosis of COPD, 13 bile duct surgery, 14 and chronic heart failure 15 . In this study, we retrospectively analysed plasma procalcitonin concentration and red blood cell distribution width at admission to improve the diagnostic value for prognosis in severely burned patients.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic value of procalcitonin and red blood cell distribution width at admission on the prognosis of patients with severe burns: A retrospective analysis

Tang

Qiu

Wang

et al. 2023

International Wound Journal

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The plasma procalcitonin (PCT) concentration and red blood cell distribution (RDW) value after severe burns can be used as prognostic indicators, but at present, it is difficult to give consideration to sensitivity and specificity in diagnosing the prognosis of severe burns with a single indicator. This study analysed the diagnostic value of plasma PCT concentration and RDW value at admission on the prognosis of severe burn patients to improve its sensitivity and specificity. A total of 205 patients with severe burns who were treated in the First Affiliated Hospital of Anhui Medical University from November 2017 to November 2022 were retrospectively analysed. The optimal cut‐off values of plasma PCT concentration and RDW were analysed and counted through the subject curve (ROC curve). According to the cut‐off value, patients were divided into high PCT group and low PCT group, high RDW group and low RDW group. The independent risk factors of severe burns were analysed by single‐factor and multiple‐factor COX regression. Kaplan–Meier survival was used to analyse the mortality of high PCT group and low PCT group, high RDW group and low RDW group. The area under the curve of plasma PCT concentration and RDW value at admission was 0.761 (95% CI, 0.662–0.860, P < .001), 0.687 (95% CI, 0.554–0.820, P = .003) respectively, and the optimal cut‐off values of serum PCT concentration and RDW were 2.775 ng/mL and 14.55% respectively. Cox regression analysis found that age, TBSA, and RDW were independent risk factors for mortality within 90 days after severe burns. Kaplan–Meier survival analysis showed that there was a significant difference in the 90‐day mortality rate of severe burns between the PCT ≥ 2.775 ng/mL group and the PCT < 2.775 ng/mL group (log‐rank: 24.162; P < .001), with the mortality rate of 36.84% versus 5.49%, respectively. The 90‐day mortality rate of severe burns was significantly different between the RDW ≥ 14.55% group and the RDW < 14.55% group (log‐rank: 14.404; P < .001), with the mortality rate of 44% versus 12.2% respectively. The plasma PCT concentration and RDW value at admission are both of diagnostic value for the 90‐day mortality of severe burns, but the plasma PCT concentration has higher sensitivity and the RDW value has higher specificity. Age, TBSA, and RDW were independent risk factors for severe burns, and then plasma PCT concentration was not independent risk factors.

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Can red blood cell distribution width (RDW) level predict the severity of acute exacerbation of chronic obstructive pulmonary disease (AECOPD)?

Cited by 13 publications

References 23 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

Construction and validation of nomogram prediction model for risk of acute heart failure in patients with acute exacerbation of chronic obstructive pulmonary disease

Diagnostic value of procalcitonin and red blood cell distribution width at admission on the prognosis of patients with severe burns: A retrospective analysis

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