scholarly journals The Associations of Total and Differential White Blood Cell Counts with Obesity, Hypertension, Dyslipidemia and Glucose Intolerance in a Korean Population

2008 ◽  
Vol 23 (2) ◽  
pp. 193 ◽  
Author(s):  
Dong-Jun Kim ◽  
Jung-Hyun Noh ◽  
Byung-Wan Lee ◽  
Yoon-Ho Choi ◽  
Jae-Hoon Chung ◽  
...  
Keyword(s):  
Blood Cell ◽  
Glucose Intolerance ◽  
White Blood Cell ◽  
Korean Population ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
White Blood Cell Counts ◽  
Obesity Hypertension ◽  
Differential White Blood Cell

A Method for Optimizing and Validating Institution-Specific Flagging Criteria for Automated Cell Counters

2010 ◽  
Vol 134 (10) ◽  
pp. 1528-1533
Author(s):  
Anthony Sireci ◽  
Robert Schlaberg ◽  
Alexander Kratz
Keyword(s):  
Positive Predictive Value ◽  
Blood Cell ◽  
White Blood Cell ◽  
Predictive Value ◽  
Youden Index ◽  
Design Data ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
White Blood Cell Counts ◽  
Differential White Blood Cell

Abstract Context.—Automated cell counters use alerts (flags) to indicate which differential white blood cell counts can be released directly from the instrument and which samples require labor-intensive slide reviews. The thresholds at which many of these flags are triggered can be adjusted by individual laboratories. Many users, however, use factory-default settings or adjust the thresholds through a process of trial and error. Objective.—To develop a systematic method, combining statistical analysis and clinical judgment, to optimize the flagging thresholds on automated cell counters. Design.—Data from 502 samples flagged by Sysmex XE-2100/5000 (Sysmex, Kobe, Japan) instruments, with at least 1 of 5 user-adjustable, white blood cell count flags, were used to change the flagging thresholds for maximal diagnostic effectiveness by optimizing the Youden index for each flag (the optimization set). The optimized thresholds were then validated with a second set of 378 samples (the validation set). Results.—Use of the new thresholds reduced the review rate caused by the 5 flags from 6.5% to 2.9% and improved the positive predictive value of the flagging system for any abnormality from 27% to 37%. Conclusions.—This method can be used to optimize thresholds for flag alerts on automated cell counters of any type and to improve the overall positive predictive value of the flagging system at the expense of a reduction in the negative predictive value. A reduced manual review rate helps to focus resources on differential white blood cell counts that are of clinical significance and may improve turnaround time.

scholarly journals Immune-related health-relevant changes in natural populations of Norway rat (Rattus norvegicus Berkenhout, 1769): White blood cell counts, leukocyte activity, and peripheral organ infiltration

2009 ◽  
Vol 61 (2) ◽  
pp. 213-223 ◽  
Author(s):  
Milena Kataranovski ◽  
Dusica Radovic ◽  
Lidija Zolotarevski ◽  
Aleksandra Popov ◽  
D.S. Kataranovski
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Natural Populations ◽  
Norway Rat ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
Leukocyte Activity ◽  
Wild Rats ◽  
White Blood Cell Counts ◽  
Differential White Blood Cell

Basic immune-related health-relevant changes (total and differential white blood cell counts and activity, leukocyte tissue infiltration, and related pathohistology) were assessed in wild Norway rats from urban habitats. Comparative measurements were conducted in individuals of several laboratory strains of Norway rat in order to gain insight into environmental effects on the health of wild rats. Changes in leukocyte counts and activity along with tissue infiltration were noted only in wild rats, indicating systemic as well as tissue inflammation in these animals. Coincidence of these changes with chronic inflammatory pulmonary and kidney disease was observed in the majority of affected rats.

scholarly journals Total and differential white blood cell counts in Caiman latirostris after in ovo and in vivo exposure to insecticides

2016 ◽  
Vol 13 (6) ◽  
pp. 903-908 ◽  
Author(s):  
María A. Latorre ◽  
María L. Romito ◽  
Alejandro Larriera ◽  
Gisela L. Poletta ◽  
Pablo A. Siroski
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
In Ovo ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
White Blood Cell Counts ◽  
Differential White Blood Cell
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