title: The usefulness of telemedicine for the detection of infection/inflammation at the point of care.
abstract: The objective of this study is to examine the possibility of using Telemedicine to diagnose the presence of the inflammatory response and to assess its intensity at the point of care. One drop of citrated peripheral venous blood from 15 patients with infection/inflammation and 15 controls were used to prepare the slides. Unstained pictures were analyzed using a microscope, video camera and image analyzer (INFLAMETTM, Biovision, Tel Aviv, Israel). The jpg-compressed images were transferred via telephone to a physician in a remote location. A significant correlation was noted between the white blood cell count and the number of leukocytes per square mm by image analysis (r = 0.67 p < 0.0001 n = 30), between the degree of leukocyte adhesiveness/aggregation and the concentration of C-reactive protein (r = 0.42 p = 0.02 n = 29) and between the degree of erythrocyte aggregation and either fibrinogen concentrations (r = 0.73 p < 0.0001) or erythrocyte sedimentation (r = 0.83, p < 0.0001). No problems occurred during file transmission and there were no transfer errors. Physicians can successfully estimate the presence of an inflammatory response and its intensity using a simple slide test, image analysis, and Telemedicine technology.
authors.affiliation: Department of Internal Medicine "D", Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
authors.forename: R
authors.initials: R
authors.lastname: Rotstein
authors.forename: S
authors.initials: S
authors.lastname: Berliner
authors.forename: R
authors.initials: R
authors.lastname: Fusman
authors.forename: I
authors.initials: I
authors.lastname: Shapira
authors.forename: D
authors.initials: D
authors.lastname: Avitzour
authors.forename: N
authors.initials: N
authors.lastname: Arber
authors.forename: D
authors.initials: D
authors.lastname: Zeltser
mesh_terms: D016022:Case-Control Studies; D005240:Feasibility Studies; D006801:Humans; D007239:Infections / Q000175:diagnosis* / Q000473:pathology; D007249:Inflammation / Q000175:diagnosis* / Q000473:pathology; D019095:Point-of-Care Systems; D017216:Telemedicine / Q000592:standards*