Next Article in Journal
Low TIP30 Protein Expression is Associated with a High Risk of Metastasis and Poor Prognosis for Non-Small-Cell Lung Cancer
Previous Article in Journal
Sex-Differences in the Pattern of Comorbidities, Functional Independence, and Mortality in Elderly Inpatients: Evidence from the RePoSI Register
Previous Article in Special Issue
Non-Invasive Assessment Method Using Thoracic-Abdominal Profile Image Acquisition and Mathematical Modeling with Bezier Curves
Article Menu

Export Article

Open AccessArticle
J. Clin. Med. 2019, 8(1), 82;

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

Faculty of Medicine, Transilvania University, 500019 Brasov, Romania
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)
Full-Text   |   PDF [364 KB, uploaded 12 January 2019]   |  


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
J. Clin. Med. EISSN 2077-0383 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top