BACKGROUND: Platelet distribution width (PDW) and PDW-to-platelet ratio (PPR) have been proven to be good prognostic indicators for many diseases. However, their prognostic values in severe burns have not been reported. OBJECTIVE: To investigate the early time course of PDW and PPR in severe burn patients and investigate their prognostic values. METHODS: This is a 16-year, single-center retrospective study of 590 severe burn patients. The complete blood count parameters on day 1, day 3, and day 7 postburn, including PDW and PPR, were collected. Receiver operating characteristic curves (ROC) analysis, multiple logistic regression analysis and Kaplan-Meier survival analysis were performed to evaluate the prognostic values of PDW and PPR in severe burn patients. RESULTS: According to 120-day follow-up records, 96 patients were nonsurvivors and 494 patients were survivors. ROC and area under the curve (AUC) analysis showed that, for predicting 120-day prognosis, the AUC of PDW (0.782) and PPR (0.816) on day 3 was the highest, followed by the AUC of PDW (0.764) and PPR (0.750) on day 7. The ROC-AUC of PPR (0.816) on day 3 was very close to that of the ABSI score (0.818). Multiple logistic regression analysis showed that the PDW (P = 0.033 and P = 0.009) and PPR (P = 0.052 and P = 0.046) on day 3 and day 7 were all significantly independently positively associated with 120-day mortality. Kaplan-Meier survival analysis showed that high PDW and PPR were both significantly associated with a high 120-day mortality rate on day 3 and day 7. CONCLUSION: PDW and PPR on day 3 and day 7 were independent risk factors for 120-day mortality in severe burn patients. These objective and readily available prognostic indicators may be more clinically favored.
BACKGROUND: Platelet distribution width (PDW) and PDW-to-platelet ratio (PPR) have been proven to be good prognostic indicators for many diseases. However, their prognostic values in severe burns have not been reported. OBJECTIVE: To investigate the early time course of PDW and PPR in severe burn patients and investigate their prognostic values. METHODS: This is a 16-year, single-center retrospective study of 590 severe burn patients. The complete blood count parameters on day 1, day 3, and day 7 postburn, including PDW and PPR, were collected. Receiver operating characteristic curves (ROC) analysis, multiple logistic regression analysis and Kaplan-Meier survival analysis were performed to evaluate the prognostic values of PDW and PPR in severe burn patients. RESULTS: According to 120-day follow-up records, 96 patients were nonsurvivors and 494 patients were survivors. ROC and area under the curve (AUC) analysis showed that, for predicting 120-day prognosis, the AUC of PDW (0.782) and PPR (0.816) on day 3 was the highest, followed by the AUC of PDW (0.764) and PPR (0.750) on day 7. The ROC-AUC of PPR (0.816) on day 3 was very close to that of the ABSI score (0.818). Multiple logistic regression analysis showed that the PDW (P = 0.033 and P = 0.009) and PPR (P = 0.052 and P = 0.046) on day 3 and day 7 were all significantly independently positively associated with 120-day mortality. Kaplan-Meier survival analysis showed that high PDW and PPR were both significantly associated with a high 120-day mortality rate on day 3 and day 7. CONCLUSION: PDW and PPR on day 3 and day 7 were independent risk factors for 120-day mortality in severe burn patients. These objective and readily available prognostic indicators may be more clinically favored.
Authors: Liam D Cato; Christopher M Wearn; Jonathan R B Bishop; Matthew J Stone; Paul Harrison; Naiem Moiemen Journal: Burns Date: 2017-10-09 Impact factor: 2.744
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Authors: Martín Angulo; Laura Moreno; Ignacio Aramendi; Gimena Dos Santos; Julio Cabrera; Gastón Burghi Journal: J Burn Care Res Date: 2020-11-30 Impact factor: 1.845
Authors: Eva Herrero De Lucas; Manuel Sanchez-Sanchez; Lucia Cachafeiro Fuciños; Alexander Agrifoglio Rotaeche; Jose Ramón Martínez Mendez; Eva Flores Cabeza; Pablo Millan Estañ; Abelardo García-de-Lorenzo Journal: Burns Date: 2020-06-21 Impact factor: 2.744
Authors: Nam K Tran; Samer Albahra; Tam N Pham; James H Holmes; David Greenhalgh; Tina L Palmieri; Jeffery Wajda; Hooman H Rashidi Journal: Sci Rep Date: 2020-07-23 Impact factor: 4.379