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1.
PLoS One ; 19(9): e0296766, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-39240990

RESUMEN

BACKGROUND: Malaria control depends primarily on rapid and accurate diagnosis followed by successful treatment. Light microscopy is still used as a gold standard method for the diagnosis of malaria. The Sysmex hematology analyzer is a novel method for malaria detection. Therefore, the aim of this review was to investigate the diagnostic accuracy of the Sysmex hematology analyzer for malaria diagnosis. METHODS: Electronic databases like PubMed, PubMed Central, Science Direct databases, Google Scholar, and Scopus were used to find relevant articles from April to June 14, 2023. The studies' methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Using Review Manager 5.4.1, the estimates of sensitivity and specificity, as well as their 95% confidence intervals, were shown in forest plots. Midas software in Stata 14.0 was utilized to calculate the summary estimates of sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio. Heterogeneity was assessed by using I2 statistics. In addition, publication bias was assessed using a funnel plot and Deeks' test. Sub-group and meta- regression analysis were also performed. RESULTS: A total of 15 studies were assessed for diagnostic accuracy. The sensitivity and specificity of Sysmex hematology analyzer for studies ranged from 46% to 100% and 81% to 100%, respectively. The summary estimate of sensitivity and specificity of Sysmex hematology analyzer were 95% (95% CI: 85%-99%) and 99% (95% CI: 97%-100%), respectively. It had excellent diagnostic accuracy. There were significant heterogeneity among the studies included in this meta-analysis. The summary estimate of sensitivity and specificity of Sysmex hematology analyzer using polymerase chain reaction as the gold standard was 97.6% (95% CI: 83.2, 99.7) and 99.4% (98.5, 99.8), respectively. CONCLUSION: In this review, Sysmex hematology analyzer had excellent diagnostic accuracy. Therefore, it could be used as an alternate diagnostic tool for malaria diagnosis in the hospital and health center. TRIAL REGISTRATION: Systematic review registration PROSPERO (2023: CRD42023427713). https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023427713.


Asunto(s)
Malaria , Sensibilidad y Especificidad , Humanos , Malaria/diagnóstico , Malaria/sangre , Pruebas Hematológicas/instrumentación , Pruebas Hematológicas/métodos , Hematología/instrumentación , Hematología/métodos
2.
J Trop Med ; 2024: 9992233, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38549565

RESUMEN

Background: Malaria and schistosomiasis are infectious diseases that cause biochemical abnormalities. Malaria and Schistosoma mansoni coinfection causes exacerbations of health consequences and comorbidities. The study area is found in Ethiopia, where coinfection of malaria and S. mansoni is common. However, there is limited data on the biochemical profiles of patients coinfected with malaria and S. mansoni schistosomiasis in the study area. Hence, this study aimed to assess the effect of malaria and S. mansoni schistosomiasis coinfection on selected biochemical profiles. Methods: An institutional-based comparative cross-sectional study was conducted from March 30 to August 10, 2022. Using a convenient sampling technique, 70 participants (35 cases and 35 controls) were enrolled in the study. Schistosoma mansoni was detected in stool samples using the wet mount and the Kato Katz method. To detect Plasmodium, both thick and thin blood films were prepared and stained with Giemsa. The blood sample was processed for the analysis of biochemical profiles. All data were analyzed using SPSS version 25. A p value of less than 0.05 was considered statistically significant. Results: The mean values of alanine aminotransferase and aspartate aminotransferase (37.1 U/L and 41.9 U/L, respectively) in coinfected participants were significantly higher than in the healthy control participants (17.4 U/L and 22.0 U/L, respectively) (p < 0.05). Also, the median values of creatinine, total bilirubin, and direct bilirubin (1.51 mg/dL, 2.35 mg/dL, and 0.91 mg/dL, respectively) in coinfected participants were significantly higher than in the healthy control participants (0.85 mg/dL, 0.42 mg/dL, and 0.12 mg/dL, respectively) (p < 0.05). However, median values of total protein (4.82 g/dL) and mean values of glucose (66.6 mg/dL) in coinfected participants were significantly lower than in the healthy control participants (total protein (7.64 g/dL) and glucose (91.9 mg/dL)) (p < 0.05). The results of biochemical profiles in healthy participants were significantly different from those with light, moderate, and heavy S. mansoni infection intensity in malaria and S. mansoni coinfection (p < 0.05). Schistosoma mansoni infection intensity had a positive correlation with biochemical profiles except for total protein and glucose, which correlated negatively in coinfected participants (p > 0.05). Conclusion: Biochemical profiles in coinfection were significantly changed as compared to healthy individuals. As a result, biochemical profile tests should be utilized to monitor and manage coinfection-related problems, as well as to reduce coinfection-related morbidity and death.

3.
Pract Lab Med ; 39: e00377, 2024 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-38511107

RESUMEN

Background: This study aimed to create an in-house glucose quality control material for humans, addressing the challenge of obtaining high-cost commercially prepared quality control materials in developing countries. Methods: An in-house quality control material for glucose was prepared using a pooled serum sample and analyzed using a fully automated chemistry analyzer following the ISO 80 guidelines. The mean, standard deviation (SD), and coefficient of variance were calculated from the first 30 days of measurement, and the variability was checked over eight months using SPSS software. The study used Pearson's correlation with a 95% confidence interval and a P-value less than 0.05, which was statistically significant. Results: The average mean ± SD of human serum glucose was 185.2 ± 8.4 mg/dL, indicating that the precision between each measurement was better. The prepared in-house quality control material was stable for approximately five months without any significant change in the serum glucose concentration (mg/dl) (p-value<0.05). Conclusions: The study suggests that room-temperature, 2-8 °C, and -20 °C to -30 °C storage of human serum samples for glucose analysis is a viable option, with stable glucose concentrations for up to 30 days. Pooled serum is a cost-effective method for in-house quality control, especially in resource-limited laboratories.

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