Related Experiment Video
Updated: Oct 1, 2025

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Predictive value of preoperative complete blood count components on the occurrence of surgical site infection after
Giovanni Sisti1, Alexander Sabre1, Felipe Mercado1
1Department of Obstetrics and Gynecology, New York Health and Hospitals/Lincoln Hospital, Bronx, NY, USA.
Background:
To analyze the predictive value of the preoperative complete blood count components on the occurrence of surgical site infection (SSI) after elective cesarean section.
Methods:
We conducted a retrospective case control study in a tertiary care hospital located in New York City during the period of November 1, 2018, to October 30, 2020. We included patients who developed SSI after elective cesarean section as cases and patients who did not develop SSI as controls. We tested the ability of neutrophil, lymphocyte, platelet, hemoglobin, hematocrit, total white blood cells, neutrophil to lymphocyte ratio, hemoglobin to platelet ratio, platelet to lymphocyte ratio, platelet to neutrophil ratio, platelet to hemoglobin ratio and neutrophil to hemoglobin ratio to identify the occurrence of SSI after cesarean section.
Results:
We compared ten cases and 20 controls. The median lymphocyte and lymphocyte to hemoglobin ratio were statistically significantly higher in cases compared to controls (P=0.049 and P=0.04, respectively). A lymphocyte value higher than 1.5 x103/µL was the best cut-off to exclude the occurrence of SSI, with a sensitivity of 95%, a specificity of 50%, a positive predictive value of 5.5% and a negative predictive value of >99%. A lymphocyte to hemoglobin ratio higher than 1.13 was the best cut off to exclude the occurrence of SSI, with a sensitivity of 95%, a specificity of 60%, a positive predictive value of 6.8% and a negative predictive value >99%.
Conclusions:
The preoperative lymphocyte and lymphocyte to hemoglobin ratio should be incorporated into patient counseling and preoperative algorithms to identify patients who will develop SSI. The biological mechanisms involved remain to be investigated and our data should be confirmed by further and larger studies.
More Related Videos
04:58Collecting And Measuring Wound Exudate Biochemical Mediators In Surgical Wounds
Published on: October 20, 2012
08:43Isolation of Endothelial Progenitor Cells from Healthy Volunteers and Their Migratory Potential Influenced by Serum Samples After Cardiac Surgery
Published on: February 14, 2017
Related Concept Videos
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
Cardiomyopathy VII: Pre and Post Operative Nursing Management
Peripheral Artery Disease V: Postoperative Nursing Management
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Aneurysm IV: Nursing Management