Academic literature on the topic 'HemoCue Hb 201 +'

AbstractBackgroundThe aim of the present study was to compare hemoglobin (Hb) levels determined by point-of-care testing (POCT) HemoCue® and arterial blood gas analyzer using an automated hematology analyzer in critically ill geriatric patients.MethodsForty geriatric patients requiring intensive care treatment were included in the study. Arterial blood sample was analyzed using HemoCue® (HemoCue®; Hb 201+, Angelholm, Sweden) (HbHemoCueArterial), blood gas analyzer (Techno Medica, Gastat1800 series, Japan) (HbBGA) and an automated hematology analyzer (Cell Dyne 3700 System, Abbott Laboratories, USA) (HbLab) as a reference method. Capillary blood measurements were performed (HbHemoCueCapillary) using HemoCue® at bedside. Bland-Altman analysis was applied to the results.ResultsWe found a positive correlation between the Hb measurements of HemoCueCapillary, HemoCueArterial and automated hematology analyzer (r-values were 0.799 and 0.922, respectively) and p<0.001. There was also a positive correlation between the Hb measurements of blood gas analyzer and automated hematology analyzer (r = 0.878) and p<0.001. The bias and limits of agreement were 0.32 and −2.5±3.14 g/dL for the HbHemoCueCapillary, 0.64 and −1.03±2.31 g/dL for the HbHemoCueArterial and −1.2 and −4.45±2.05 g/dL for the HbBGA. Inotropic agent administration did not affect the Hb values in all groups.ConclusionsBoth HemoCueCapillary and HemoCueArterial are sufficiently accurate and correlated with automated hematology analyzer in geriatric critically ill patients if used correctly. In terms of Hb levels, arterial and capillary blood sample measurements with HemoCue® provided more clinically acceptable accuracy than blood gas analysis system.

Background: The major nutritional problem among young children in India is anaemia that affects the ability to study and work and is significantly associated with increased morbidity and mortality. Objectives: To analyze the prevalence of anaemia among Indian children of underfive years and to identify the significant risk factors associated with it. Methods: Data of 35851 children from NFHS-III, India were analyzed and binary logistic regression model was fitted by using SPSS 15.0 software. Anaemia was defined as haemoglobin concentration level below 11 g/dl. HemoCue Hb 201+ analyzer was used to measure haemoglobin concentration. Results: Overall, 69.5 percent were anaemic with the highest proportion in Bihar and the least in Goa. The age and birth order of child; religion, caste and wealth index of household; anaemia level, education, age at first birth, intake of iron supplements during pregnancy and vegetarian habit of mother showed significant influence on child anaemia. Conclusion: Child anaemia prevails significantly in India and the findings suggest for urgent prevention and treatment measures giving importance to the different socioeconomic characteristics. DOI: http://dx.doi.org/10.3126/ajms.v5i2.8508 Asian Journal of Medical Science, Volume-5(2) 2014: 26-32

El estudio se realizó en el Puesto de Salud San Antonio de la Red de Salud Julcán-La Libertad con el objetivo de identificar los factores asociados a la anemia en niños menores de tres años en una zona altoandina del Perú. La investigación fue básica de diseño descriptivo, realizado en 55 niños seleccionados mediante un muestreo no probabilístico. Los datos se recolectaron con un cuestionario de factores asociados a la anemia con 19 ítems. La hemoglobina se midió con el hemoglobinómetro portátil (Hemocue HB 201). En el análisis univariado se utilizó la regresión logística y se calcularon los respectivos Odds ratio (OR) y sus intervalos de confianza de 95%. Los resultados indican que existe mayor riesgo de padecer anemia cuando el niño no tiene seguro de salud (OR=1.875; IC:0.465 – 7.566), no acude a su control de crecimiento y desarrollo (CRED) (OR=2.6; IC:0.578 – 11.693), tiene bajo peso al nacer (OR=1.764; IC:0.270 – 711.467), tiene parasitosis intestinal (OR=8.4; IC: 1.638 – 43.465), o cuya madre tiene más de tres hijos menores de tres años (OR =6.67, IC: 0.724 – 61.403). Se concluye que existen algunos factores de mayor riesgo relacionado a la presencia de anemia en niños.

Introduction. Anaemia is common among the elderly, yet it remains an underresearched clinical condition. This study investigates ethnic differences in prevalence of anaemia and identifies potential factors associated with anaemia in the elderly. Methods. Data from the National Health & Morbidity Survey (NHMS) 2015 conducted by Ministry of Health was analyzed. Haemoglobin levels were measured using point-of-care testing, HemoCue® Hb 201+ System©, from consenting individuals. Demographic information and other clinical information were obtained through a structured questionnaire. Descriptive and multivariate analyses were conducted and significant results were presented as adjusted odds ratio. Results. A total of 3794 participants aged 60 years and older responded to the anaemia module with a response rate of 93.7%. 64.0% of respondents were of Malay ethnicity, 21.6% were Chinese, 6.1% were Indians, and 8.3% were of other ethnicities. The overall prevalence of anaemia among older people was 35.3%. The highest prevalence of anaemia was found among respondents of Indian ethnicity (45.5%). The Indian (aOR: 1.72; 95% CI 1.26–2.34) and Malay (aOR: 1.25; 95% CI 1.04–1.49) ethnic groups were more likely to be anaemic in comparison to those of Chinese ethnicity. Anaemia in older people was also associated with increasing age, history of hospital admission, and the presence of diabetes mellitus. Conclusion. Anaemia in the elderly is associated with Indian and Malay ethnicities, increasing age, hospitalization, and diabetes. Our study has identified important information on a common condition which will guide and assist future studies in reducing the burden of anaemia.

Background: Adolescence has been defined by the WHO as the period of life spanning the ages between 10 to 19 years. This is a vulnerable period in the human life cycle for the development of nutritional anaemia. The prevalence of anaemia among adolescents is 27% in developing countries and 6% in developed countries. The study was done with the objective to study the prevalence of anaemia among adolescent girls of selected urban slum of Bhopal.Methods: A cross sectional study was conducted for a period of 3 months on adolescent girls residing in selected urban slum of Bhopal. 98 adolescent girls who were registered in Anganwadi and present at time of study were interviewed. The data regarding their socio-demographic profile, anthropometric measurements were collected using a semi-structured questionnaire. Hemoglobin level was also estimated using Hemocue (Hb 201) and participants were classified as having no, mild, moderate and severe anaemia based on WHO grading of anaemia. Data was compiled using MS Excel and analysed using Epi info 7.Results: Anaemia was present in 57.65% girls. Out of which 34.7% had mild, 44.9% had moderate and 20.4% had severe anaemia. 29.4% knew improper diet as a cause of anaemia followed by Vitamin deficiency (25.8%) and iron deficiency (22.3%). 29.4% girls did not know any cause of anaemia. Similarly 29.4% and 51.7% of study participants did not know of any symptoms and treatment of anaemia respectively.Conclusions: The overall prevalence of anaemia was high among study participants. Knowledge regarding anaemia, its symptoms, causes and treatment was very poor among study participants.

Anemi kan uppstå till följd av förlust av erytrocyter eller försämrad produktion av nya erytrocyter. För att upptäcka och följa upp patienter med anemi är det viktigt att korrekt kunna mäta hemoglobinkoncentrationen (Hb) i blodet. En vanlig metod för att mäta Hb-koncentration är fotometri i kombination med en kemisk omvandling. Liksom alla mätningar med ljus är dessa känsliga för turbiditet i provet. Lipemi är en vanlig källa till turbiditet som kan uppstå till exempel som följd av en fettrik måltid, diabetes mellitus, lever- eller njursjukdomar, alkoholism och vissa läkemedel. Olika instrumenttillverkare har olika metoder för att motverka interferensen av lipemi. Sysmex hematologi-instrument XN-10 använder en fettlösande bärarvätska i sin fotometriska kanal (HGB) och HemoCue mäter vid en andra våglängd som ska kompensera för turbiditet. Sysmex XN-10 har också en optisk kanal (HGB-O) som är till för att räkna retikulocyter genom att mäta deras nukleinsyra- samt Hb-innehåll men ger då också ett beräknat värde på Hb-koncentrationen i hela provet. Syftet med denna studie var att jämföra HGB och den HGB-O för bestämning av Hb-koncentrationen i helblod. Båda kanalerna jämfördes även med HemoCue Hb 201+ vid bestämning av Hbkoncentrationen i svårt lipemiska prover. Hb-mätning på plasma från motsvarande prover utfördes också för att undersöka om värdet motsvarade Hb-höjningen i de lipemiska proverna. Prover analyserade med både HGB och HGB-O på Sysmex XN-10 på klinisk kemi vid Skånes universitetssjukhus i Lund under november månad 2018 (n = 392) jämfördes med hjälp av Spearmans rangkorrelationskoefficient. Lipemi simulerades med fettemulsionen Intralipid i totalt 32 prover. Färdiganalyserade patientprover från föregående dag delades i ett lipemiskt prov med Intralipidtillsats och ett nollprov med tillsats av NaCl-lösning i en motsvarande volym. Differenserna mellan de lipemiska- och nollprovernas Hb-värden testades för signifikans med icke-parametrisk Wilcoxons teckenrangtest. Kruskal-Wallis samt Dunns's tester användes för att visa på signifikanta skillnader mellan de tre metoderna. Signifikansnivån sattes vid p < 0,05. Resultaten visade god korrelation mellan HGB - och HGB-O Hb-värden med ett Spearman korrelationsvärde på 0,982.  Jämförelsen av metoderna vid lipemi visade signifikant skillnad mellan nollprov och lipemiskt prov för HGB- (p < 0,001) men inte HGB-O (p = 0,11) på XN-10. HemoCue Hb 201+ visade också signifikant skillnad (p < 0,001) vid lipemi men med lägre median-värde än HGB och mindre spridning än HGB-O. HGB-O:s median-värde tydde på minst lipemipåverkan men spridningen av differenserna var stor. Spridningen av HGB-O resultaten kan bero på hemolys då endast intracellulärt Hb mäts i denna kanal. Resultaten i denna studie tyder på att HemoCue-metoden är den mest pålitliga vid Hb-mätning av lipemiska prover och därmed det lämpligaste komplementet till HGBmetoden
Anemia can arise from either loss of erythrocytes or impaired production of new erythrocytes. In order to discover and evaluate the treatment of anemic patients, correct Hb measurements are important. A common method to measure Hb concentration is photometry in combination with chemical conversion of the Hb. Like all light-dependent methods this suffers from a vulnerability to turbidity that scatters light. Lipemia is a common cause of turbidity caused by e.g. recent intake of high fat foods, diabetes mellitus, liver or kidney disease, alcoholism and some drugs. Manufacturers of Hb analyzers use different methods to counter the influence of interference from lipemia on measurements. Sysmex XN-10 analyzers use a fat dissolving sheath fluid in its photometric channel (HGB) and HemoCue measures absorbance at a second wavelength to compensate for turbidity. Sysmex XN-10 also has an optic channel (HGB-O) for counting reticulocytes by measuring their nucleic acid and Hb content. At the same time this channel measures Hb equivalents of erythrocytes and gives a calculated value of Hb content in the entire sample. The aim of this study was to compare the photometric and the optical channels for measuring Hb concentration in whole blood. Both the Sysmex XN-10 channels were compared with HemoCue Hb 201+ when measuring Hb concentrations in lipemic samples. Plasma Hb concentration was determined for the corresponding samples in order to investigate correlation between elevation in Hb concentration with and without simulated lipemia and in the plasma after centrifugation. Samples analyzed at Skånes University Hospital in Lund during the month of November 2018 (n = 392) using both HGB and HGB-O on XN-10 were compared using Spearman's signed correlations coefficient. Lipemia was simulated by using the fat emulsion Intralipid in a total of 32 samples. Samples collected and analyzed on the previous day was used for the study. Each sample was split into one part with added Intralipid to form a lipemic sample and one part with NaCl-solution of the same volume as Intralipid in the lipemic sample. The differences between lipemic and non lipemic samples was tested for significance by the non-parametric Wilcoxons signed ranks test for each of the methods. Significance between the three methods was tested by using Kruskal-Wallis and Dunn's tests. Level of significance was set to p < 0.05. The results showed good correlation between earlier test run on both HGB and HGB-O with a Spearman correlation score of 0,982.  A significant difference was found between lipemic and non lipemic samples with the photometric method (p < 0,001) but not the optical method (p = 0,11) on XN10. HemoCue Hb 201+ also showed a significant difference (p < 0,001) between lipemic and non lipemic samples but a lower median than HGB and less deviation than HGB-O. The median of HGB-O indicated that it was influenced the least by lipemia of the three methods but had the greatest deviation of the differences. The greater deviation of HGB-O values may have been caused by hemolysis since the method measures intra cellular Hb. HemoCue shows according to this study the slightest deviation of the three methods and a less heightened median value compared to HGB which confirms the methods suitability as complement to HGB when dealing with lipemic samples.

Haemoglobin concentration is becoming a widely popular parameter to use to assess physiological condition within a broad range of species. Assessments of large populations would preferable be done in field to receive quick results and avoid confounding factors associated with transport of blood. A validation study is here performed to see how well the point-of-care device HemoCue Hb 201 + can assess haemoglobin concentration on avian blood. Nucleated erythrocytes have previously been pointed out as something that makes it problematic to apply HemoCue Hb 201 +, designed for human blood, on avian blood. Here it is shown that HemoCue Hb 201 + accurately can estimate haemoglobin concentration for chicken-, tinamou-, and ostrich blood. However, manipulation of ostrich cells, to yield a larger mean corspuscular volume, results in HemoCue Hb 201 + overestimating haemoglobin concentration. A large mean corpuscular volume could therefore be something that impair accuracy in values retrieved with HemoCue Hb 201 +. This study shows that HemoCue Hb 201 + seems possible to apply on avian blood to some extent, but highlights the importance of validation studies when applying this device on new species.