The picture of inflammation: A new concept that combines the white blood cell count and erythrocyte sedimentation rate into a new hematologic diagnostic modality

Rivka Rotstein, Renato Fusman, David Zeltser, Itzhak Shapira, Esther Shabtai, Dani Avitzour, Nicole Sadees, David Levartovsky, Nadir Arber, Amiram Eldor, Shlomo Berliner*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Background: Physicians who work in small clinics, far away from medical centers, cannot obtain relevant information regarding the acute phase response at low cost and real time. Methods: We adopted a simple slide test and image analysis to determine the number of white blood cells in the peripheral blood, their degree of adhesiveness/aggregation as well as that of the red blood cells. Three independent observers scored the images into categories of no (1), mild (2), moderate (3) or severe (4) inflammation. Results: A substantial interobserver agreement was noted for all three observers. No patient classified as having no (1) inflammation was given a score of moderate (3) or severe (4) inflammation and vice versa. The one-way analysis of variance (age- and gender-adjusted) confirmed that the data obtained from the image analyzer are significantly different between the above-mentioned four categories. Conclusions: It is possible to use a simple slide test and image analysis to discriminate effectively between various degrees of inflammation intensity. Since it is possible to send the pictures via telephone, Inter- or Intranet to a physician somewhere else, it might be attractive for medical personnel who work in small clinics not equipped with sophisticated laboratory facilities. This technique is currently being evaluated for possible Telemedicine and E-Health uses.

Original languageEnglish
Pages (from-to)106-114
Number of pages9
JournalActa Haematologica
Volume106
Issue number3
DOIs
StatePublished - 2001

Keywords

  • Cell aggregation
  • Phase response, acute

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