“…Using the peripheral blood slide test and image analysis we were able to adopt a new diagnostic concept that is based on the detection of the number of white blood cells (WBC), their state of adhesiveness/aggregation in the peripheral blood, as well as the determination of red blood cell aggregability [1, 2, 3, 4, 5, 6, 7, 8]. This approach has the advantage of obtaining simultaneous information on the degree of the leukocytic response and the intensity of the humoral acute phase response, the latter being characterized by the synthesis of multiple proteins, part of which can induce WBC [9]and red blood cell [10]aggregation.…”
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.
“…Using the peripheral blood slide test and image analysis we were able to adopt a new diagnostic concept that is based on the detection of the number of white blood cells (WBC), their state of adhesiveness/aggregation in the peripheral blood, as well as the determination of red blood cell aggregability [1, 2, 3, 4, 5, 6, 7, 8]. This approach has the advantage of obtaining simultaneous information on the degree of the leukocytic response and the intensity of the humoral acute phase response, the latter being characterized by the synthesis of multiple proteins, part of which can induce WBC [9]and red blood cell [10]aggregation.…”
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.
“…It is based on the known observations that this response is accompanied by the appearance of increased leukocyte numbers in the peripheral circulating pool of blood, increased leukocyte adhesiveness/aggregation, as well as enhanced synthesis of adhesive proteins (fibrinogen, for example) that can induce leukocyte as well as erythrocyte aggregation (10). Because all of these phenomena can be detected at real time and low cost by using a simple slide test (1)(2)(3)(4)(5)(6)8), the next question is whether the diagnostic yield of our novel approach is comparable to what can be obtained by "conventional" markers, including the WBCC, erythrocyte sedimentation fibrinogen, or quantitative CRP concentrations. By using the same cohort of elderly patients, we could indeed show that the discrimination between the presence or absence of an inflammatory response in elderly patients with acute bacterial infections is as good as the one obtained by the above-mentioned conventional methods (6).…”
Section: Discussionmentioning
confidence: 99%
“…They were scanned by using an image analysis system (INFLAMET TM , Inflamet Ltd., Tel Aviv, Israel), the details of which were recently described (1)(2)(3)(4)(5)(6). This system enables us to count the number of peripheral blood leukocytes per mm 2 as well as determine their degree of adhesiveness/aggregation (percent of aggregated leukocytes) ( Figure 1).…”
Section: Laboratory Methodsmentioning
confidence: 99%
“…We have recently introduced a new approach of scanning peripheral blood slides to detect the number of white blood cells as well as their degree of adhesiveness/aggregation in addition to the aggregability of erythrocytes (1)(2)(3)(4)(5). This technology will enable any paramedical personnel to obtain relevant information related to the acute phase response at any given time.…”
“…The higher the aggregation degree, the lower is the area covered by the cells and vice versa. 21 A typical example of EA is presented in Figure 1. Erythrocyte percentage was measured in TAPAS participants routinely.…”
We studied the association between erythrocyte aggregation (EA) and erectile dysfunction (ED) in men with coronary artery disease (CAD). Men with CAD documented by coronary angiography filled the Sexual Health Inventory for Males questionnaire to detect ED and assess its severity. EA was evaluated by filming slides of blood smear. Low percentage of slide field covered by erythrocytes represented increased EA. Overall, 133 men with CAD, mean ages 62.4 ± 12.2 years, were included: 100 (75.2%) with ED and 33 (24.8%) without ED. EA was increased among men with ED compared with men without ED (percentage of slide field covered by erythrocytes 66.7 ± 14.7 vs 73.1 ± 14.5%; P ¼ 0.03). After adjustment for age, diabetes mellitus, hemoglobin and hematocrit levels, EA was associated with ED severity (r ¼ 0.18; P ¼ 0.038). We conclude that EA is increased in men with CAD and ED. This finding may be relevant to the pathophysiology of ED in men with CAD.
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