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1.
Clin Chem Lab Med ; 60(1): 92-100, 2022 01 26.
Article in English | MEDLINE | ID: mdl-34533003

ABSTRACT

OBJECTIVES: Peripheral blood lymphocyte subsets are important parameters for monitoring immune status; however, lymphocyte subset detection is time-consuming and error-prone. This study aimed to explore a highly efficient and clinically useful autoverification system for lymphocyte subset assays performed on the flow cytometry platform. METHODS: A total of 94,402 lymphocyte subset test results were collected. To establish the limited-range rules, 80,427 results were first used (69,135 T lymphocyte subset tests and 11,292 NK, B, T lymphocyte tests), of which 15,000 T lymphocyte subset tests from human immunodeficiency virus (HIV) infected patients were used to set customized limited-range rules for HIV infected patients. Subsequently, 13,975 results were used for historical data validation and online test validation. RESULTS: Three key autoverification rules were established, including limited-range, delta-check, and logical rules. Guidelines for addressing the issues that trigger these rules were summarized. The historical data during the validation phase showed that the total autoverification passing rate of lymphocyte subset assays was 69.65% (6,941/9,966), with a 67.93% (5,268/7,755) passing rate for T lymphocyte subset tests and 75.67% (1,673/2,211) for NK, B, T lymphocyte tests. For online test validation, the total autoverification passing rate was 75.26% (3,017/4,009), with 73.23% (2,191/2,992) for the T lymphocyte subset test and 81.22% (826/1,017) for the NK, B, T lymphocyte test. The turnaround time (TAT) was reduced from 228 to 167 min using the autoverification system. CONCLUSIONS: The autoverification system based on the laboratory information system for lymphocyte subset assays reduced TAT and the number of error reports and helped in the identification of abnormal cell populations that may offer clues for clinical interventions.


Subject(s)
Clinical Laboratory Information Systems , Flow Cytometry , Humans , Lymphocyte Count , Lymphocyte Subsets
2.
Clin Lab ; 61(3-4): 405-14, 2015.
Article in English | MEDLINE | ID: mdl-25975009

ABSTRACT

BACKGROUND: The data from apparently healthy individuals with thalassemia has been demonstrated to have an effect on the reference intervals for the erythrocyte indices in areas with a high incidence of thalassemia. METHODS: Six clinical centers screened apparently healthy individuals using a questionnaire and a physical examination. Then, the qualified reference individuals were selected by hematological indices and a genotypic thalassemia diagnosis. Statistical comparisons were conducted for the erythrocyte reference intervals in the Chinese population with and without thalassemia. The constituent ratios and the mean (SD) of erythrocyte indices according to the thalassemia genotype were calculated. The relationship between the MCV values and the thalassemia genotype was also estimated. RESULTS: 4,636 reference individuals were included using hematological indices and genotypic thalassemia screening. The results of the erythrocyte reference intervals for individuals in Guangzhou with thalassemia demonstrated that the RBC, MCV, and MCH values significantly differed by gender compared with other regions (p < 0.01). In contrast, for individuals without thalassemia, the results tended to be similar and clinically acceptable. In addition, the results of the erythrocyte indices revealed significant differences among α-thalassemia patients, ß-thalassemia patients, and the control group. CONCLUSIONS: Apparently healthy individuals with thalassemia in the high prevalence zone of thalassemia could not be excluded by the questionnaire, physical examination or laboratory indices (Fe < 6 µmol/L, Hb < 90 g/L). The screening of genotypic thalassemia based on the MCV or MCH values to exclude unqualified individuals is the most effective way to obtain accurate and reliable reference intervals for the erythrocyte indices.


Subject(s)
Erythrocyte Indices , Erythrocytes/cytology , Thalassemia/blood , Thalassemia/ethnology , Adolescent , Adult , Aged , China , Clinical Laboratory Techniques/standards , Female , Genotype , Geography , Healthy Volunteers , Hematology , Humans , Male , Middle Aged , Reference Values , Sequence Analysis, DNA , Surveys and Questionnaires , Young Adult
3.
Tumour Biol ; 36(2): 807-14, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25296730

ABSTRACT

Inflammatory/immune cells have the power of infiltrating almost all human solid tumors and influencing all stages of carcinogenesis because of their stimulation of various cytokine subsets. This study aims to determine the correlation of single nucleotide polymorphisms in the IL-17F gene and the risk of colorectal cancer (CRC). One thousand patients diagnosed with CRC and a control group of 354 healthy controls were involved. Peripheral blood samples were collected. The PCR-RFLP method was used to detect the 7383A>G (rs2397084) and 7488T>C (rs763780) in the IL-17F gene. Statistical analyses were conducted with version 12.0 STATA statistical software. We found that the allele model suggested that patients carrying C allele were 1.67 times more likely to develop CRC than healthy controls (odds ratio (OR) = 1.67, 95% confidence interval (CI) = 1.22-2.27, P = 0.001). Similarly, the homozygous and dominant models also revealed that the minor IL-17F 7488C allele conferred an increased CRC risk compared to the major T allele among our study participants (CC vs. TT: OR = 4.15, 95% CI = 1.26-13.36, P = 0.011; TC+CC vs. TT: OR = 1.46, 95% CI = 1.04-2.05, P = 0.027). However, all genetic models indicated that the IL-17F 7383A>G (rs2397084) polymorphism was not associated with CRC risk (all P > 0.05). The results of this study indicate that the 7488T>C (rs763780) in the IL-17F gene may be correlated with increased risk of CRC.


Subject(s)
Carcinogenesis/genetics , Colorectal Neoplasms/genetics , Genetic Association Studies , Interleukin-17/genetics , Aged , Alleles , Asian People , Case-Control Studies , Colorectal Neoplasms/pathology , Female , Genetic Predisposition to Disease , Genotype , Humans , Male , Middle Aged , Polymorphism, Single Nucleotide
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