Reference Intervals for a Complete Blood Count Determined on different Automated Haematology Analysers: Abx Pentra 120 Retic, Coulter Gen-S, Sysmex SE 9500, Abbott Cell Dyn 4000 and Bayer Advia 120

Bossche, Jan Van den; Devreese, Katrien; Malfait, Ronald; Vyvere, M. Van De; Wauters, Annick; Neels, Hugo; Schouwer, Pieter De

doi:10.1515/cclm.2002.014

Cited by 56 publications

(22 citation statements)

References 15 publications

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“…Finally, since our study cohort is supposed to be an extreme sample relative to the general population, it is possible that their initial low values regressed towards their real higher mean platelet levels [13]. However, in most cases the thrombocytopenia persisted without other disorders becoming apparent, suggesting that they may simply represent a part of the left tail of the platelet count distribution observed in healthy individuals [1–3]. …”

Section: Discussionmentioning

confidence: 99%

“…With extensive automation in laboratories, an ever increasing number of asymptomatic individuals with platelet counts ranging between 100 × 10 9 /l and 150 × 10 9 /l are now being recognized [1–3]. However, both the clinical features of these individuals, as well as the natural history of their thrombocytopenia, have not been systematically studied.…”

Section: Introductionmentioning

confidence: 99%

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Long-Term Outcome of Otherwise Healthy Individuals with Incidentally Discovered Borderline Thrombocytopenia

et al. 2006

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BackgroundThe long-term outcome of individuals with mild degrees of thrombocytopenia is unknown.Methods and FindingsIn a prospective study conducted between August 1992 and December 2002, 260 apparently healthy individuals with incidentally discovered platelet counts between 100 × 109/l and 150 × 109/l were monitored for 6 mo to determine whether their condition persisted. The monitoring period was completed in 217 cases, of whom 191 (88%) maintained stable platelet counts. These 191 individuals were included in a long-term follow-up study to gain knowledge of their natural history. With a median time of observation of 64 mo, the thrombocytopenia resolved spontaneously or persisted with no other disorders becoming apparent in 64% of cases. The most frequent event during the study period was the subsequent development of an autoimmune disease. The 10-y probability of developing idiopathic thrombocytopenic purpura (ITP), as defined by platelet counts persistently below 100 × 109/l, was 6.9% (95% confidence interval [CI]: 4.0%–12.0%). The 10-y probability of developing autoimmune disorders other than ITP was 12.0% (95% CI: 6.9%–20.8%). Most of the cases (85%) of autoimmune disease occurred in women.ConclusionsHealthy individuals with a sustained platelet count between 100 × 109/l and 150 × 109/l have a 10-y probability of developing autoimmune disorders of 12%. Further investigation is required to establish whether this risk is higher than in the general population and whether an intensive follow-up results in an improvement of prognosis.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-Term Outcome of Otherwise Healthy Individuals with Incidentally Discovered Borderline Thrombocytopenia

et al. 2006

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“…This imbalance promotes tissue adaptation and protects the organism against the development of chronic inflammatory diseases and against the deleterious effects of overtraining, a condition in which systemic and chronic proinflammatory and prooxidant states appear to preponderate [21, 22]. In our population, we found slightly higher WBC and neutrophil counts in the lower percentile compared with healthy sedentary individuals (WBC = 3.5–9.8 × 10 9 /L and Neut = 1.5–7.0 × 10 9 /L) [23]. The 2.5th and 97.5th percentile monocyte counts (Table 1) were higher than those of a healthy, nonphysically active population (Mono = 0.2–0.64 × 10 9 /L) [23], indicating the effects of training on this parameter.…”

Section: Discussionmentioning

confidence: 85%

“…In our population, we found slightly higher WBC and neutrophil counts in the lower percentile compared with healthy sedentary individuals (WBC = 3.5–9.8 × 10 9 /L and Neut = 1.5–7.0 × 10 9 /L) [23]. The 2.5th and 97.5th percentile monocyte counts (Table 1) were higher than those of a healthy, nonphysically active population (Mono = 0.2–0.64 × 10 9 /L) [23], indicating the effects of training on this parameter. Blood monocytes are the main source of tissue macrophages recruited in response to exercise [24], and they participate in the repair, growth, and regeneration of muscles [25].…”

Section: Discussionmentioning

confidence: 93%

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Hematological and Biochemical Markers of Iron Status in a Male, Young, Physically Active Population

Nunes

Grotto

Brenzikofer

et al. 2014

BioMed Research International

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The aim of this study was to establish reference intervals (RIs) for the hemogram and iron status biomarkers in a physically active population. The study population included male volunteers (n = 150) with an average age of 19 ± 1 years who had participated in a regular and controlled exercise program for four months. Blood samples were collected to determine hematological parameters using a Sysmex XE-5000 analyzer (Sysmex, Kobe, Japan). Iron, total iron-binding capacity (TIBC), transferrin saturation and ferritin, and high-sensitivity C-reactive protein (CRP) concentrations in serum samples were measured using commercial kits (Roche Diagnostics, GmbH, Mannheim, Germany) and a Roche/Hitachi 902 analyzer. The RIs were established using the RefVal program 4.1b. The leucocyte count, TIBC, and CRP and ferritin concentrations exhibited higher RIs compared with those in a nonphysically active population. Thirty volunteers (outliers) were removed from the reference population due to blood abnormalities. Among the outliers, 46% exhibited higher CRP concentrations and lower concentrations of iron and reticulocyte hemoglobin compared with the nonphysically active population (P < 0.001). Our results showed that it is important to establish RIs for certain laboratory parameters in a physically active population, especially for tests related to the inflammatory response and iron metabolism.

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Within‐subject haemoglobin variation in elite athletes: a longitudinal investigation of 13 887 haemoglobin concentration readings

Lobigs

Knight

Schumacher

et al. 2015

Drug Testing and Analysis

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The Athlete Biological Passport (ABP) estimates individualized reference ranges for key blood markers, such as haemoglobin concentration ([Hb]), using predetermined population mean, between- and within-subject variances. Here, we aim to reassess previously published estimates for within-subject [Hb] variance and determine whether sex-, analyzer-, sport-, or season-specific values are required. Our reference population contains 7723 male (mean ± SD, 22.3 ± 4.6 years of age) and 6164 female (21.6 ± 4.3) athlete observations from 49 sports. [Hb] was calculated using one of three cytometers; Bayer-H3 (1997-1999, n = 4554), ADVIA-120 (1999-2010, n = 8636) and Sysmex XT-2000i (2010-2012, n = 697). The final model was a linear mixed model for [Hb] with analyzer (H3, ADVIA, Sysmex), sex (male, female), sport (power-endurance, endurance, skill, team, disabled and non-athletes), season (summer, winter), and the interaction between sex and sport as fixed effects and athlete as a random effect. The model included an exponential correlation structure to allow for within-subject autocorrelation, and allowed different within-subject variances for each sport. Within-subject [Hb] variance (g(2) /L(2) ) was significantly less for power endurance (35.09, 95% CI 33.50 to 36.76), disabled (25.82, 95% CI 21.71 to 35.28) and non-athletes (34.30, 95% CI 28.53 to 35.87) than for endurance (40.35, 95% CI 39.62 to 47.22) and team sports (38.70, 95% CI 37.68 to 39.76) athletes. No new evidence was found to justify adjusting the current within-subject [Hb] variance estimate.

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Reference Intervals for a Complete Blood Count Determined on different Automated Haematology Analysers: Abx Pentra 120 Retic, Coulter Gen-S, Sysmex SE 9500, Abbott Cell Dyn 4000 and Bayer Advia 120

Cited by 56 publications

References 15 publications

Long-Term Outcome of Otherwise Healthy Individuals with Incidentally Discovered Borderline Thrombocytopenia

Long-Term Outcome of Otherwise Healthy Individuals with Incidentally Discovered Borderline Thrombocytopenia

Hematological and Biochemical Markers of Iron Status in a Male, Young, Physically Active Population

Within‐subject haemoglobin variation in elite athletes: a longitudinal investigation of 13 887 haemoglobin concentration readings

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