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.

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.

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 aim of this study was to explore the value of serum amyloid A protein (SAA) and neutrophil-to-lymphocyte ratio (NLR) testing in the diagnosis and treatment of children with influenza A. Methods: Specimens were collected from 85 children with influenza A, 85 children with a bacterial infection, and 86 healthy children. The levels of SAA and C-reactive protein (CRP) were measured, and routine blood tests were performed. Results: The levels of SAA and CRP in the bacterial infection group were significantly higher than those in the influenza A group, and the levels in the influenza A group were higher than those in the healthy children. The NLR level in the influenza A group was not different from that in the bacterial infection group, but the NLR levels in the influenza A group and the bacterial infection group were higher than that in the healthy controls. The number of white blood cell (WBC) in the influenza A group was not different from that in healthy children, while the WBC counts in the control and bacterial infection groups were higher than that in the influenza A group. The distribution width of red blood cells in the bacterial infection group was higher than that in healthy controls. The receiver operating characteristic curve analysis showed that the area under the curve for the diagnoses of influenza A for SAA, NLR, and CRP was 0.806, 0.768, and 0.699, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of SAA/NLR (SAA and NLR in the series) were 68.24%/76.47% (57.65%), 84.88%/72.09% (96.76%), 81.69%/73.03% (96.08%), 73.00%/75.61% (70.00%), and 76.61%/74.27% (77.78%), respectively. Conclusion: In the early diagnosis of children with influenza A, the values of SAA and NLR are high. Thus, they could be used for monitoring and efficacy evaluation during the course of the disease.

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.