Jawad Hassan, Sarah Javed, Shakir Ahmed, Waqas Javeed, Madiha Abid
{"title":"登革热的细胞群体数据参数-有什么意义吗?单中心研究。","authors":"Jawad Hassan, Sarah Javed, Shakir Ahmed, Waqas Javeed, Madiha Abid","doi":"10.1111/ijlh.14434","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To assess the significance of cell population data parameters (CPD) in dengue positive individuals.</p>\n </section>\n \n <section>\n \n <h3> Methodology</h3>\n \n <p>A retrospective cross-sectional study was conducted at the National Institute of Blood Disease and Bone Marrow Transplantation (NIBD and BMT), Karachi, Pakistan from July 2022 to September 2022 (in a period of 3 months of peak dengue fever outbreak). Dengue fever is a viral infection that is transmitted from mosquitoes to humans. It is more prevalent in tropical and subtropical environments. A total of 389 individuals, who presented with febrile illness at the NIBD clinics, were screened for dengue and malaria with Complete Blood Count (CBC), Dengue nonstructural protein 1 (NS1) antigen test and Malaria Parasite Immunochromatographic test (MP-ICT). Whole blood samples were collected and analyzed for CBC on Sysmex XN hematology analyzers. All 65 CPD and standard CBC parameters were analyzed. Statistical analysis was performed using SPSS version 25.0. Descriptive analysis of all the parameters was performed and a <i>p</i> value < 0.001 was considered significant. Positive and negative correlation was also evaluated within the parameters to assess their significance. Furthermore, cut-off values of CPD parameters were evaluated plotting their receiver operating characteristic (ROC) curves.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Out of the 389 febrile patients, 137 were diagnosed as dengue-positive. Descriptive analysis for mean and median values of parameters revealed statistically significant difference for seven parameters (namely WBC, PLT-F, NEUT, LYMP, MONO, HFLC, and LY-WY) in the comparison of the two groups which were then further assessed for positive and negative correlation. Multivariate logistic regression analysis revealed High Fluorescence Lymphocyte Count (HFLC) to be the distinguishing parameter among dengue positive and negative cases. Compared to all the CPD parameters of our data set, the area under curve for lymphocytes cell size and the width of dispersion (LY-WZ) displayed a borderline value of 0.582.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Sysmex XN hematology analyzers can provide extensive information about CPD parameters, allowing for the prompt differentiation among febrile illnesses and dengue infection. HFLC and other significant parameters demonstrate promise as rapid, adjunctive diagnostic tools. Further research is needed to validate these findings and optimize the clinical utility of CPD parameters in dengue management.</p>\n </section>\n </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 3","pages":"421-428"},"PeriodicalIF":2.3000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cell Population Data Parameters in Dengue—Is There Any Significance? 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A total of 389 individuals, who presented with febrile illness at the NIBD clinics, were screened for dengue and malaria with Complete Blood Count (CBC), Dengue nonstructural protein 1 (NS1) antigen test and Malaria Parasite Immunochromatographic test (MP-ICT). Whole blood samples were collected and analyzed for CBC on Sysmex XN hematology analyzers. All 65 CPD and standard CBC parameters were analyzed. Statistical analysis was performed using SPSS version 25.0. Descriptive analysis of all the parameters was performed and a <i>p</i> value < 0.001 was considered significant. Positive and negative correlation was also evaluated within the parameters to assess their significance. Furthermore, cut-off values of CPD parameters were evaluated plotting their receiver operating characteristic (ROC) curves.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Out of the 389 febrile patients, 137 were diagnosed as dengue-positive. Descriptive analysis for mean and median values of parameters revealed statistically significant difference for seven parameters (namely WBC, PLT-F, NEUT, LYMP, MONO, HFLC, and LY-WY) in the comparison of the two groups which were then further assessed for positive and negative correlation. Multivariate logistic regression analysis revealed High Fluorescence Lymphocyte Count (HFLC) to be the distinguishing parameter among dengue positive and negative cases. Compared to all the CPD parameters of our data set, the area under curve for lymphocytes cell size and the width of dispersion (LY-WZ) displayed a borderline value of 0.582.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Sysmex XN hematology analyzers can provide extensive information about CPD parameters, allowing for the prompt differentiation among febrile illnesses and dengue infection. HFLC and other significant parameters demonstrate promise as rapid, adjunctive diagnostic tools. 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Cell Population Data Parameters in Dengue—Is There Any Significance? A Single-Center Study
Objective
To assess the significance of cell population data parameters (CPD) in dengue positive individuals.
Methodology
A retrospective cross-sectional study was conducted at the National Institute of Blood Disease and Bone Marrow Transplantation (NIBD and BMT), Karachi, Pakistan from July 2022 to September 2022 (in a period of 3 months of peak dengue fever outbreak). Dengue fever is a viral infection that is transmitted from mosquitoes to humans. It is more prevalent in tropical and subtropical environments. A total of 389 individuals, who presented with febrile illness at the NIBD clinics, were screened for dengue and malaria with Complete Blood Count (CBC), Dengue nonstructural protein 1 (NS1) antigen test and Malaria Parasite Immunochromatographic test (MP-ICT). Whole blood samples were collected and analyzed for CBC on Sysmex XN hematology analyzers. All 65 CPD and standard CBC parameters were analyzed. Statistical analysis was performed using SPSS version 25.0. Descriptive analysis of all the parameters was performed and a p value < 0.001 was considered significant. Positive and negative correlation was also evaluated within the parameters to assess their significance. Furthermore, cut-off values of CPD parameters were evaluated plotting their receiver operating characteristic (ROC) curves.
Results
Out of the 389 febrile patients, 137 were diagnosed as dengue-positive. Descriptive analysis for mean and median values of parameters revealed statistically significant difference for seven parameters (namely WBC, PLT-F, NEUT, LYMP, MONO, HFLC, and LY-WY) in the comparison of the two groups which were then further assessed for positive and negative correlation. Multivariate logistic regression analysis revealed High Fluorescence Lymphocyte Count (HFLC) to be the distinguishing parameter among dengue positive and negative cases. Compared to all the CPD parameters of our data set, the area under curve for lymphocytes cell size and the width of dispersion (LY-WZ) displayed a borderline value of 0.582.
Conclusion
Sysmex XN hematology analyzers can provide extensive information about CPD parameters, allowing for the prompt differentiation among febrile illnesses and dengue infection. HFLC and other significant parameters demonstrate promise as rapid, adjunctive diagnostic tools. Further research is needed to validate these findings and optimize the clinical utility of CPD parameters in dengue management.
期刊介绍:
The International Journal of Laboratory Hematology provides a forum for the communication of new developments, research topics and the practice of laboratory haematology.
The journal publishes invited reviews, full length original articles, and correspondence.
The International Journal of Laboratory Hematology is the official journal of the International Society for Laboratory Hematology, which addresses the following sub-disciplines: cellular analysis, flow cytometry, haemostasis and thrombosis, molecular diagnostics, haematology informatics, haemoglobinopathies, point of care testing, standards and guidelines.
The journal was launched in 2006 as the successor to Clinical and Laboratory Hematology, which was first published in 1979. An active and positive editorial policy ensures that work of a high scientific standard is reported, in order to bridge the gap between practical and academic aspects of laboratory haematology.