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Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis

Platelet indices are inexpensive, easily accessible parameters and potentially useful prognostic indicators in sepsis. In this study we explore the differences in platelet indices and their kinetics between sepsis survivors and non-survivors. A retrospective cohort-study of 97 cases of culture-posit...

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Autores principales: Mangalesh, Sridhar, Dudani, Sharmila, Malik, Ajay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988247/
https://www.ncbi.nlm.nih.gov/pubmed/33776267
http://dx.doi.org/10.1007/s12288-021-01411-2
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author Mangalesh, Sridhar
Dudani, Sharmila
Malik, Ajay
author_facet Mangalesh, Sridhar
Dudani, Sharmila
Malik, Ajay
author_sort Mangalesh, Sridhar
collection PubMed
description Platelet indices are inexpensive, easily accessible parameters and potentially useful prognostic indicators in sepsis. In this study we explore the differences in platelet indices and their kinetics between sepsis survivors and non-survivors. A retrospective cohort-study of 97 cases of culture-positive sepsis at a tertiary-care center in North India. Demographics, clinical and laboratory parameters at admission were assessed. Platelet count (PLT), mean-platelet-volume (MPV), platelet-distribution-width (PDW) and plateletcrit (PCT) on admission, and third, fifth and last days of hospitalization were analyzed. Fractional change in platelet indices (ΔMPV(72h,) ΔPDW(72h), ΔPCT(72h), and ΔPLT(72h)) by day-3 were calculated. Unpaired and paired t-tests were used to compare survivors with non-survivors, and to study the change in platelet indices with time. Logistic regression was used for multivariate analysis. ROC-curves and optimum cut-offs to predict mortality were obtained. There were 64 survivors. Non-survivors had significantly higher ΔMPV(72h,) ΔPDW(72h,) day-1 MPV and PDW, and lower ΔPLT(72h). MPV and PDW increased, and PLT decreased with time among non-survivors. Trends were reversed in survivors. Only MPV and PDW showed significant change by day-3. Both were independent predictors of mortality on multivariate analysis, alongside ΔMPV(72h) and ΔPLT(72h). On ROC analysis, MPV, PDW, ΔMPV(72h,) ΔPDW(72h) and ΔPLT(72h) effectively predicted mortality. Cut-off for MPV was 10.25 fL (sensitivity = 93.9%, specificity = 60.9%), and PDW, 12.6% (sensitivity = 84.8%, specificity = 51.6%). A rise in MPV and a fall in PLT was associated with mortality in this study. MPV and PDW values at admission are effective predictors of mortality and may be used in conjunction with traditional parameters.
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spelling pubmed-79882472021-03-24 Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis Mangalesh, Sridhar Dudani, Sharmila Malik, Ajay Indian J Hematol Blood Transfus Original Article Platelet indices are inexpensive, easily accessible parameters and potentially useful prognostic indicators in sepsis. In this study we explore the differences in platelet indices and their kinetics between sepsis survivors and non-survivors. A retrospective cohort-study of 97 cases of culture-positive sepsis at a tertiary-care center in North India. Demographics, clinical and laboratory parameters at admission were assessed. Platelet count (PLT), mean-platelet-volume (MPV), platelet-distribution-width (PDW) and plateletcrit (PCT) on admission, and third, fifth and last days of hospitalization were analyzed. Fractional change in platelet indices (ΔMPV(72h,) ΔPDW(72h), ΔPCT(72h), and ΔPLT(72h)) by day-3 were calculated. Unpaired and paired t-tests were used to compare survivors with non-survivors, and to study the change in platelet indices with time. Logistic regression was used for multivariate analysis. ROC-curves and optimum cut-offs to predict mortality were obtained. There were 64 survivors. Non-survivors had significantly higher ΔMPV(72h,) ΔPDW(72h,) day-1 MPV and PDW, and lower ΔPLT(72h). MPV and PDW increased, and PLT decreased with time among non-survivors. Trends were reversed in survivors. Only MPV and PDW showed significant change by day-3. Both were independent predictors of mortality on multivariate analysis, alongside ΔMPV(72h) and ΔPLT(72h). On ROC analysis, MPV, PDW, ΔMPV(72h,) ΔPDW(72h) and ΔPLT(72h) effectively predicted mortality. Cut-off for MPV was 10.25 fL (sensitivity = 93.9%, specificity = 60.9%), and PDW, 12.6% (sensitivity = 84.8%, specificity = 51.6%). A rise in MPV and a fall in PLT was associated with mortality in this study. MPV and PDW values at admission are effective predictors of mortality and may be used in conjunction with traditional parameters. Springer India 2021-03-24 2021-10 /pmc/articles/PMC7988247/ /pubmed/33776267 http://dx.doi.org/10.1007/s12288-021-01411-2 Text en © Indian Society of Hematology and Blood Transfusion 2021
spellingShingle Original Article
Mangalesh, Sridhar
Dudani, Sharmila
Malik, Ajay
Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis
title Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis
title_full Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis
title_fullStr Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis
title_full_unstemmed Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis
title_short Platelet Indices and Their Kinetics Predict Mortality in Patients of Sepsis
title_sort platelet indices and their kinetics predict mortality in patients of sepsis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988247/
https://www.ncbi.nlm.nih.gov/pubmed/33776267
http://dx.doi.org/10.1007/s12288-021-01411-2
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