Comprehensive improvements in the emergency laboratory test process based on information technology.

OBJECTIVE: To explore the application effects of information technology (IT) on emergency laboratory testing procedures. METHODS: In this study, IT-based optimisation of the emergency laboratory testing process was implemented between October and December 2021. Thus, the emergency laboratory test reports from January to September 2021 were placed into the pre-optimised group, while those from January to September 2022 were categorised into the post-optimised group. Besides, the emergency laboratory test report time, emergency laboratory test report time limit coincidence rate, error rate, and employee and patient satisfaction levels in individual months and across the whole period were described. Moreover, changes in the above indicators before and after the implementation of IT-based optimisation were explored and the application effects of IT-based optimisation were also evaluated. RESULTS: The emergency laboratory test report times after the implementation of IT-based optimisation were shorter than those before IT-based optimisation (P < 0.05). The total number of laboratory test items before and after information optimization amounted to 222,139 and 259,651, respectively. Also, IT-based optimisation led to an increase in the emergency laboratory test report time limit coincidence rate from 98.77% to 99.03% (P < 0.05), while the emergency laboratory test report error rate fell from 0.77‱ to 0.15‱ (P < 0.05). Additionally, IT-based optimisation resulted in increases in both employee satisfaction, from 80.65% to 93.55% (N = 31, P > 0.05), and patient satisfaction, from 93.06% to 98.44% (P < 0.05). CONCLUSION: The automation and IT-based optimisation of the emergency laboratory testing process significantly reduces the emergency laboratory test report time and error rate. Additionally, IT-driven optimization enhances the alignment of emergency laboratory test report deadlines and enhances the overall quality and safety of emergency laboratory testing.

Clinical application of ABO blood typing.

BACKGROUND: The ABO blood group is closely related to clinical blood transfusion, transplantation, and neonatal hemolytic disease. It is also the most clinically significant blood group system in clinical blood transfusion. OBJECTIVE: The purpose of this paper is to review and analyze the clinical application of the ABO blood group. METHODS: The most common ABO blood group typing methods in clinical laboratories are hemagglutination test and microcolumn gel test, while genotype detection is mainly adopted in clinical identification of suspicious blood types. However, in some cases, the expression variation or absence of blood type antigens or antibodies, experimental techniques, physiology, disease, and other factors affect the accurate determination of blood types, which may lead to serious transfusion reactions. RESULTS: The mistakes could be reduced or even eliminated by strengthening training, selecting reasonable identification methods, and optimizing processes, thereby improving the overall identification level of the ABO blood group. ABO blood groups are also correlated with many diseases, such as COVID-19 and malignant tumors. Rh blood groups are determined by the RHD and RHCE homologous genes on chromosome 1 and are classified as Rh negative or positive according to the D antigen., the agglutination method is often used in clinical settings, while genetic and sequencing methods are often used in scientific research. CONCLUSION: Accurate ABO blood typing is a critical requirement for the safety and effectiveness of blood transfusion in clinical practice. Most studies were designed for investigating rare Rh blood group family, and there is a lack of research on the relationship between Rh blood groups and common diseases.

Effect of storage temperature and time on erythrocyte sedimentation rate.

OBJECTIVE: This paper explores the effect of blood sample storage temperature and time on the erythrocyte sedimentation rate (ESR) by using the Weiss method. METHODS: Whole blood samples were collected from 80 patients and diluted 1:9 with sodium citrate solution. Each sample was split into two tubes. Using the Weiss method, ESR was tested within 1 h of collection, and one sample was placed at 4 °C and the other at room temperature (23 ± 2 °C). ESR was then measured at 2, 4, 6, 8, 12, and 24 h. The data were statistically analyzed with consideration for temperature and time. RESULTS: ESR decreased gradually over 6 h at room temperature, but the results were not statistically significant. Similarly, there was no significant difference in the decline of ESR within 8 h at 4 °C. However, ESR results decreased significantly after the samples were stored at room temperature for more than 6 h or at 4 °C for more than 8 h. ESR reduction was lower in the samples stored at 4 °C than in those stored at room temperature over the same time period. CONCLUSION: Blood sample storage temperature and duration can affect the measurement of ESR using the Weiss method. ESR testing should be completed within 4 h of sample collection in clinical work.

Using information technology to optimize the identification process for outpatients having blood drawn and improve patient satisfaction.

BACKGROUND: This study explored the application effect of information technology in optimizing the patient identification process. METHODS: The method for optimizing the identification process involved in drawing blood among outpatients using information technology was executed from July 2020. In this paper, 959 patients who had blood drawn from January to June 2020 were included as the pre-optimization group, and 1011 patients who had blood drawn from July to December 2019 were included as the post-optimization group. The correct rate of patient identification, waiting time, and patient satisfaction before and after the optimization were statistically analyzed. The changes in these three indexes before and after the optimization implementation, as well as the application effects, were compared. RESULTS: The correct rate of patient identification after optimization (99.80%) was higher than before optimization (98.02%) (X2 = 13.120; P < 0.001), and the waiting time for having blood drawn was also significantly shortened (t = 8.046; P < 0.001). The satisfaction of patients was also significantly improved (X2 = 20.973; P < 0.001). CONCLUSIONS: By combining information technology with the characteristics of blood collection in our hospital, using the call system to obtain patient information, then scan the QR code of the guide sheet for automatic verification, and finally manually reconfirm patient information, which can significantly reduce the occurrence of identification errors, improve work efficiency and improve patients' satisfaction.

Preliminary Study on Reference Interval of Serum Pepsinogen in Healthy Subjects.

OBJECTIVE: This study determined the reference interval of pepsinogen (PG) of healthy people in the local region to provide a basis for early screening of gastric cancer. METHODS: Among the healthy people who underwent a physical examination in our hospital from January 2020 to December 2020, 2568 subjects were selected based on the relevant screening criteria. Their serum PG I and II levels and PG I:PG II ratio were determined by chemiluminescent microparticle immunoassay (CIMA), and the results were statistically analyzed. Finally, according to document CLSI-C28-A3, the PG reference interval of the local region was determined. RESULTS: The PG I and II levels of the males in all age groups were higher than those of the females in the corresponding age groups, and the differences were statistically significant (P < 0.05). However, the differences in the PG I:PG II ratio between the genders in the different age groups were not statistically significant (P > 0.05). The PG I and II levels increased with age in both men and women, while the PG I:PG II ratio was not correlated with age in either gender. CONCLUSION: The PG reference interval of the local region was initially determined as providing a reliable reference basis for clinical treatment.

The Diagnostic and Therapeutic Value of the Detection of Serum Amyloid A and C-Reactive Protein in Infants with Rotavirus Diarrhea.

OBJECTIVE: This study explores the significance of serum amyloid A (SAA), C-reactive protein (CRP), and white blood cell (WBC) in the diagnosis and treatment of diarrhea in infants. METHODS: Specimens were collected from 126 children with diarrhea and 66 healthy children undergoing health examination. According to the results of stool culture and rotavirus (RV) antigen, these children were divided into three groups: rotavirus group (70 cases), bacterial infection (56 cases), and control groups (66 cases). On the fourth day of admission, children in the RV group underwent stool culture again. Based on the subsequent results, they were further divided into two groups, ie, no secondary bacterial infection and secondary bacterial infection groups. The levels of RV antigen, bacterial antigen, SAA, CRP, and WBC were detected in all children. Then, ROC curve analysis was performed to determine the diagnostic efficacy of SAA, CRP and WBC. RESULTS: The levels of SAA, CRP, and WBC for the RV group were lower than those of the bacterial infection group, but higher compared with the control group (P<0.05). The diagnostic efficacy of SAA was higher than that of CRP and WBC, with the area under the curve of 0.876, 0.803, and 0.765, respectively. The positive and negative predictive values, specificity, and sensitivity of SAA were slightly better compared with CRP and WBC. The SAA, CRP, and WBC levels of children with a bacterial infection in the RV group on the fourth and seventh days after admission were also significantly higher compared with children without bacterial infection. CONCLUSION: Serum amyloid A, CRP, and WBC levels had a high value in the differential diagnosis of infantile diarrhea. As such, they can be used in the early diagnosis and curative efficacy assessment of children with diarrhea.

The Value of Serum Amyloid A in the Diagnosis and Management of Ankylosing Spondylitis.

OBJECTIVE: The present study aimed to explore the clinical value of serum amyloid A (SAA) in the diagnosis, treatment, and assessment of ankylosing spondylitis (AS). METHODS: Seventy-eight patients with AS were enrolled as the case group, while the control group consisted of 80 healthy individuals enrolled during the same time period. According to the criteria of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), patients in the case group were divided into those in the remission phase (36 patients) and those in the active phase (42 patients). Levels of SAA, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) were measured in all enrolled subjects and analyzed. RESULTS: SAA levels were significantly higher in the AS group (39.65 ± 12.32 ng/mL) than in the control group (7.64 ± 1.32 ng/mL) (p =0.011) and in patients in the active phase (56.18 ± 17.25 ng/mL) compared with those in the remission phase (20.36 ± 5.36 ng/mL) (p =0.015). The sensitivity and specificity of SAA were 79.49% and 77.50%, respectively. There was a positive correlation between SAA level and the BASDAI grade (r = 0.77, p =0.005), CRP level (r = 0.68, p =0.011), and ESR (r = 0.62, p =0.012). CONCLUSION: Not only is SAA a reliable indicator for the presence of AS, it may also be useful for monitoring the activity of this disease.

The Application of the EP9-A Protocol in the Analysis of the Performance of the Immunofluorescence Assay for HCG Detection.

OBJECTIVE: The present study aims to evaluate the comparability of the results of two methodologies for detecting human chorionic gonadotropin (HCG) to assess whether the immunofluorescence method for detecting HCG is adequate for clinical applications. METHODS: Referring to the protocol requirements of the American Clinical Laboratory Standards Institute (CLSI) EP9-A2 (methodological matching and bias assessment with patient samples), we collected 40 fresh serum specimens from our outpatients and inpatients, including 20 specimens with abnormal HCG concentrations (eight samples with different concentration ranges were selected daily and HCG was measured simultaneously with the two testing systems for five consecutive days). The assays were performed on a Dxl 800 fully automated immunoassay analyzer from Beckman Coulter Inc., USA, as a comparative method and on a Jet-iStar 3000 immunoassay analyzer from Zhonghan Shengtai Inc. as an experimental method. Methodological comparison and bias assessment of the results of the two methods for HCG detection were performed. The OLR regression model was used for calculating bias and regression analysis, and Spearman's rank correlation coefficient was used for correlation analysis. The correlation and comparability of the two systems were calculated based on the results of the analysis. RESULTS: A good correlation in HCG results in the range of 5-50,000 U/mL was obtained from the two assay systems (r = 0.998) with the regression equation of y = 1.020x + 12.96. The estimated deviation was within the permissible deviation and acceptable. CONCLUSION: The results of HCG measurement by the two different assay systems were well correlated and comparable.