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J. Clin. Med. 2019, 8(1), 82; https://doi.org/10.3390/jcm8010082

Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases

1
Faculty of Medicine, Transilvania University, 500019 Brasov, Romania
2
Faculty of Dental Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 400337 Cluj -Napoca, Romania
*
Authors to whom correspondence should be addressed.
Received: 4 December 2018 / Revised: 7 January 2019 / Accepted: 9 January 2019 / Published: 12 January 2019
(This article belongs to the Special Issue Advanced Analytical Methods in Clinical Diagnosis and Therapy)
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Abstract

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. View Full-Text
Keywords: splenectomy; non-traumatic diseases; multiple linear regression; prediction; platelet count splenectomy; non-traumatic diseases; multiple linear regression; prediction; platelet count
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dragomir, R.M.; Hogea, M.D.; Moga, M.A.; Festila, D.G.; Cobelschi, C.P. Predictive Factors for Platelet Count Variation After Splenectomy in Non-Traumatic Diseases. J. Clin. Med. 2019, 8, 82.

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