Prognostic Value of Preoperative Red Cell Distribution Width: Fine-Tuning by Mean Corpuscular Volume

Dai, Lu; Mick, Stephanie; McCrae, Keith R.; Houghtaling, Penny L.; Blackstone, Eugene H.; Koch, Colleen G.

doi:10.1016/j.athoracsur.2019.04.072

Cited by 12 publications

(6 citation statements)

References 37 publications

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“…Experts such as Xanthopoulos A have found that RDW is a powerful predictive indicator in patients. [ 25 ] Dai L et al [ 26 ] found that in critically ill patients with internal medicine, the higher the RDW, the higher the death rate. Therefore, RDW can be used as an indicator to determine the severity of a patient’s condition.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic and prognostic value of PCT and RDW in premature infants with septicemia

Xu,

Ca,

Zhou

2024

Medicine

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It aims to study the diagnostic effect of procalcitonin (PCT) and red blood cell distribution width (RDW) in premature septicemia (PS), and to analyze the prognostic evaluation value of PCT and RDW in PS. Ninety eight septicemia premature infants (SPI) who visited the neonatal intensive care unit of our hospital from June 2019 to July 2021 were selected and met the criteria. Based on the patient’s condition and the neonatal shock score, they were separated into a severe group (SG) and a mild group (MG). There were 43 children and 55 children in the 2 groups, respectively. According to the survival status of SPI after 3 days of treatment, they were divided into a death group and a SG. It detected and analyzed the peripheral venous blood of SPI before treatment (BT) and after treatment (AT), and observed the changes of PCT and RDW. The comparison of general data between severe and mild SPI and their mothers did not have statistical significance (P > .05). The PCT of the SG was higher than that of the MG BT, on the 1st day and the 3rd day AT; The PCT BT and AT in both groups ranged from high to low on the 1st day and the 3rd day AT and BT (P < .05). The RDW in the SG were higher than those in the MG, and the RDW BT and AT in both groups were the highest on the 1st day AT; The RDW BT in the MG was higher than on the 3rd day AT, while the RDW BT in the SG was lower than on the 3rd day AT (P < .05). The optimal cutoff values for PCT on the 1st and 3rd day AT were 40.594ng/ml and 64.854ng/ml, respectively, with sensitivity of 100.0% and 100.0%, and specificity of 73.2% and 87.1% (P < .05). The optimal cutoff values for RDW on the 1st and 3rd day AT were 16.649% and 18.449%, respectively, with sensitivity of 100.0% and 100.0%, and specificity of 68.5% and 91.8% (P < .05). Monitoring the changes in PCT and RDW can promote the early diagnosis of PS and their prognosis evaluation.

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Section: Discussionmentioning

confidence: 99%

Diagnostic and prognostic value of PCT and RDW in premature infants with septicemia

Xu,

Ca,

Zhou

2024

Medicine

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“…RDW is an index of erythrocyte size heterogeneity, MCV measures the average volume of circulatory red blood cells, and abnormal RDW and MCV values are associated with a higher risk of transfusion 33 . Dai et al found that patients with macrocytic anemia had higher median hemoglobin levels (i.e., were less anemic) than patients with microcytic anemia, yet they were the most likely to receive RBC transfusions 34 . Anemia is one of the most important variables for predicting transfusion risk, but RDW and MCV provide additional prognostic value.…”

Section: Discussionmentioning

confidence: 99%

A novel model forecasting perioperative red blood cell transfusion

Zhang

Xie

et al. 2022

Sci Rep

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We aimed to establish a predictive model assessing perioperative blood transfusion risk using a nomogram. Clinical data for 97,443 surgery patients were abstracted from the DATADRYAD website; approximately 75% of these patients were enrolled in the derivation cohort, while approximately 25% were enrolled in the validation cohort. Multivariate logical regression was used to identify predictive factors for transfusion. Receiver operating characteristic (ROC) curves, calibration plots, and decision curves were used to assess the model performance. In total, 5888 patients received > 1 unit of red blood cells; the total transfusion rate was 6.04%. Eight variables including age, race, American Society of Anesthesiologists' Physical Status Classification (ASA-PS), grade of kidney disease, type of anaesthesia, priority of surgery, surgery risk, and an 18-level variable were included. The nomogram achieved good concordance indices of 0.870 and 0.865 in the derivation and validation cohorts, respectively. The Youden index identified an optimal cut-off predicted probability of 0.163 with a sensitivity of 0.821 and a specificity of 0.744. Decision curve (DCA) showed patients had a standardized net benefit in the range of a 5–60% likelihood of transfusion risk. In conclusion, a nomogram model was established to be used for risk stratification of patients undergoing surgery at risk for blood transfusion. The URLs of web calculators for our model are as follows: http://www.empowerstats.net/pmodel/?m=11633_transfusionpreiction.

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“…Jeffrey and colleagues also identi ed speci c thresholds for Hb and HCT in their study that can be used to guide PRBCs infusion [14]. RDW served as an important variable in the perioperative transfusion risk of patients undergoing cardiac surgery [15]. In Australia and New Zealand, platelet counts, INR and brinogen concentrations are included into the guidelines to direct PRBCs transfusion in intensive care units [16].…”

Section: Discussionmentioning

confidence: 99%

Predictive Nomogram for Intraoperative Blood Transfusion in Pernicious Placenta Previa Patients With Placenta Accrete

Zhang

2021

Preprint

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Background: Packed red blood cells (PRBCs) transfusion is an essential treatment in case of hemorrhage during cesarean section in pernicious placenta previa (PPP) patients with placenta accrete. However, predictive tools to assess the requirement of intraoperative PRBCs transfusion have not been widely estimated in PPP patients with placenta accrete during delivery.Methods: We first performed a comprehensive analysis of the preoperative and intraoperative clinical data collected from 428 PPP patients with placenta accrete, and constructed a prediction model based on blood routine and coagulation parameters by LASSO regression model. Subsequently, we developed a clinically applicable nomogram that can accurately predict intraoperative PRBCs infusion and performed an internal validation of the performance of this nomogram.Results: Among the 428 PPP patients with placenta accrete undergoing a cesarean delivery during the study period, 92 had received an intraoperative PRBCs infusion and the PRBCs transfusion rate was 21.49%. According to the results of LASSO regression analysis, RDW, WBC count, HCT, PT, aPTT and D-dimer concentration were screened to establish a predictive model. This model had a good predictive performance with AUCs of 0.841 in training cohort, 0.767 in testing cohort and 0.795 in whole cohort, respectively. In addition, the model could be served as an independent predictive factor for intraoperative PRBCs infusion. A nomogram was finally established combining clinical features and above model and revealed good predictive abilities (C-index: 0.753).Discussion: We constructed a risk stratification instrument to identify PPP patients with placenta accrete at increased risk for intraoperative PRBCs transfusion.

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Prognostic Value of Preoperative Red Cell Distribution Width: Fine-Tuning by Mean Corpuscular Volume

Cited by 12 publications

References 37 publications

Diagnostic and prognostic value of PCT and RDW in premature infants with septicemia

Diagnostic and prognostic value of PCT and RDW in premature infants with septicemia

A novel model forecasting perioperative red blood cell transfusion

Predictive Nomogram for Intraoperative Blood Transfusion in Pernicious Placenta Previa Patients With Placenta Accrete

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