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Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases
Background: The spleen plays a central role in a range of diseases. As such, great emphasis has been placed on the procedure of spleen removal, the benefits and the numerous associated complications. Given the immediate risk of the thrombotic complications, the aim of this study was to evaluate clin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352129/ https://www.ncbi.nlm.nih.gov/pubmed/30642037 http://dx.doi.org/10.3390/jcm8010082 |
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author | Dragomir, Roxana M. Hogea, Mircea D. Moga, Marius A. Festila, Dana G. Cobelschi, Calin P. |
author_facet | Dragomir, Roxana M. Hogea, Mircea D. Moga, Marius A. Festila, Dana G. Cobelschi, Calin P. |
author_sort | Dragomir, Roxana M. |
collection | PubMed |
description | Background: The spleen plays a central role in a range of diseases. As such, great emphasis has been placed on the procedure of spleen removal, the benefits and the numerous associated complications. Given the immediate risk of the thrombotic complications, the aim of this study was to evaluate clinical and laboratory patient characteristics in non-traumatic diseases of the spleen, and to investigate possible predictive factors for platelet count variation following the procedure. Methods: A total of 72 patients who underwent splenectomy were included in this retrospective study. Correlation coefficients as well as multiple linear regressions were used to assess the relationship between post-splenectomy platelet count and various preoperative clinical and laboratory patient characteristics. Results: Following multiple linear regression analysis, we determined that 54.93% of post-splenectomy platelet count variation was explained by admission platelet count (p = 0.00), lymphocyte count (p = 0.04), WBC count (p = 0.00), LOS (p = 0.00), patient gender (p = 0.00), spleen accessibility on admission (p = 0.02) and PT (p = 0.00). Conclusions: Platelet count variation following splenectomy for non-traumatic diseases can be predicted by assessing preoperative patient characteristics. The implications of this study suggest that by means of a prediction model, patient care could benefit from assessing and addressing various preoperative factors that lead to these complications. |
format | Online Article Text |
id | pubmed-6352129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63521292019-02-01 Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases Dragomir, Roxana M. Hogea, Mircea D. Moga, Marius A. Festila, Dana G. Cobelschi, Calin P. J Clin Med Article Background: The spleen plays a central role in a range of diseases. As such, great emphasis has been placed on the procedure of spleen removal, the benefits and the numerous associated complications. Given the immediate risk of the thrombotic complications, the aim of this study was to evaluate clinical and laboratory patient characteristics in non-traumatic diseases of the spleen, and to investigate possible predictive factors for platelet count variation following the procedure. Methods: A total of 72 patients who underwent splenectomy were included in this retrospective study. Correlation coefficients as well as multiple linear regressions were used to assess the relationship between post-splenectomy platelet count and various preoperative clinical and laboratory patient characteristics. Results: Following multiple linear regression analysis, we determined that 54.93% of post-splenectomy platelet count variation was explained by admission platelet count (p = 0.00), lymphocyte count (p = 0.04), WBC count (p = 0.00), LOS (p = 0.00), patient gender (p = 0.00), spleen accessibility on admission (p = 0.02) and PT (p = 0.00). Conclusions: Platelet count variation following splenectomy for non-traumatic diseases can be predicted by assessing preoperative patient characteristics. The implications of this study suggest that by means of a prediction model, patient care could benefit from assessing and addressing various preoperative factors that lead to these complications. MDPI 2019-01-12 /pmc/articles/PMC6352129/ /pubmed/30642037 http://dx.doi.org/10.3390/jcm8010082 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dragomir, Roxana M. Hogea, Mircea D. Moga, Marius A. Festila, Dana G. Cobelschi, Calin P. Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases |
title | Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases |
title_full | Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases |
title_fullStr | Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases |
title_full_unstemmed | Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases |
title_short | Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases |
title_sort | predictive factors for platelet count variation after splenectomy in non-traumatic diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352129/ https://www.ncbi.nlm.nih.gov/pubmed/30642037 http://dx.doi.org/10.3390/jcm8010082 |
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