Limits...
Association between red cell distribution width and acute pancreatitis: a cross-sectional study.

Yao J, Lv G - BMJ Open (2014)

Bottom Line: Haematology and biochemistry results of the first test after admission were collected.With a cut-off value of 14.2 for RDW, sensitivity and specificity of RDW to predict mortality were 75.0% and 89.8%, and Kaplan-Meier analysis showed an increase in probability of death with high RDW values.There is significant association between RDW and mortality of patients with AP.

View Article: PubMed Central - PubMed

Affiliation: Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Show MeSH

Related in: MedlinePlus

Receiver-operating characteristic (ROC) curve analysis for mortality prediction.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4127919&req=5

BMJOPEN2013004721F2: Receiver-operating characteristic (ROC) curve analysis for mortality prediction.

Mentions: The non-survivors of AP had lower levels of Ca, TP and Alb, and higher age, BUN, Cr, LDH, WCC and RDW (table 3). The RDW values were significantly different among healthy individuals, non-survivors, and survivors of patients with AP (figure 1). We found that the RDW values were non-survivors>healthy individuals>survivors. To evaluate the values for RDW to predict mortality, ROC curve was drawn (figure 2). The AUC of RDW was 0.846 (95% CI 0.727 to 0.964, p<0.001). We further analysed the PPV and NPV of high RDW, with a cut-off value of 14.2 for RDW. Sensitivity, specificity, positive likelihood ratio (+LR) and negative likelihood ratio (−LR), PPV and NPV of RDW to predict mortality were 75%, 89.8%, 7.35%, 0.28%, 37.5% and 97.8%, respectively. Kaplan-Meier analysis showed an increase in probability of death with high RDW values (log-rank p<0.001; figure 3).


Association between red cell distribution width and acute pancreatitis: a cross-sectional study.

Yao J, Lv G - BMJ Open (2014)

Receiver-operating characteristic (ROC) curve analysis for mortality prediction.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4127919&req=5

BMJOPEN2013004721F2: Receiver-operating characteristic (ROC) curve analysis for mortality prediction.
Mentions: The non-survivors of AP had lower levels of Ca, TP and Alb, and higher age, BUN, Cr, LDH, WCC and RDW (table 3). The RDW values were significantly different among healthy individuals, non-survivors, and survivors of patients with AP (figure 1). We found that the RDW values were non-survivors>healthy individuals>survivors. To evaluate the values for RDW to predict mortality, ROC curve was drawn (figure 2). The AUC of RDW was 0.846 (95% CI 0.727 to 0.964, p<0.001). We further analysed the PPV and NPV of high RDW, with a cut-off value of 14.2 for RDW. Sensitivity, specificity, positive likelihood ratio (+LR) and negative likelihood ratio (−LR), PPV and NPV of RDW to predict mortality were 75%, 89.8%, 7.35%, 0.28%, 37.5% and 97.8%, respectively. Kaplan-Meier analysis showed an increase in probability of death with high RDW values (log-rank p<0.001; figure 3).

Bottom Line: Haematology and biochemistry results of the first test after admission were collected.With a cut-off value of 14.2 for RDW, sensitivity and specificity of RDW to predict mortality were 75.0% and 89.8%, and Kaplan-Meier analysis showed an increase in probability of death with high RDW values.There is significant association between RDW and mortality of patients with AP.

View Article: PubMed Central - PubMed

Affiliation: Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Show MeSH
Related in: MedlinePlus