Objective To analyze the influencing factors of prognosis of patients with traumatic brain injury (TBI), and explore the influence of hemoglobin (Hb) level combined with blood pressure variability (BPV) on the quality of prognosis of patients with TBI. Methods The data of 186 TBI patients who received systemic treatment in the Affiliated Zhangjiagang Hospital of Soochow University between January 2020 and December 2021 were retrospectively analyzed. According to the Glasgow Outcome Scale (GOS) 3 months after treatment, they were divided into group A (GOS 4-5, 159 cases) and group B (GOS 1-3, 27 cases). The general clinical data, BPV indexes and Hb levels of the two groups were analyzed by single factor analysis and multiple logistic regression analysis, and the predictive value of the logistic regression model was evaluated by receiver operating characteristic (ROC) curve, sensitivity, specificity and area under the curve (AUC). Results There was no statistical significance in gender, age, body mass index, blood urea nitrogen, prothrombin time, fasting blood glucose level, or smoking history (P>0.05); the patients’ Glasgow Coma Scale at admission in group A was higher than that in group B (P<0.05), and the constituent ratio with a history of hypertension of group A was significantly lower than that of group B (P<0.05). The between-group differences in systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and Hb at admission, and SBP, DBP, and MAP 72 h after treatment were not statistically significant (P>0.05); the SBP-standard deviation (SD), DBP-SD, SPB-coefficient of variation (CV) and DBP-CV of group B 72 h after treatment were significantly higher than those of group A (P<0.05), and the level of Hb was significantly lower than that of group A (P<0.05). Hb [odds ratio (OR)=0.787, 95% confidence interval (CI) (0.633, 0.978), P=0.031], SBP-CV [OR=1.756, 95%CI (1.073, 2.880), P=0.023] and DBP-CV [OR=1.717, 95%CI (1.107, 2.665), P=0.016] were all independent prognostic factors of TBI patients. The ROC showed that the combined index of BPV and Hb was more valuable than that of single prediction, with an AUC of 0.896 [95%CI (0.825, 0.935), P<0.05]. Conclusions Both BPV and Hb are independent factors affecting the prognosis of TBI patients, and their combined application can more effectively predict the prognosis of TBI patients. Therefore, when treating and evaluating the prognosis of TBI patients, closely monitoring the changes in blood pressure and Hb levels can timely and effectively control the development of the disease, and provide scientific reference for subsequent treatment.
Objective To investigate the relationship between preoperative hemoglobin, albumin, lymphocyte and platelet (HALP) score, and clinicopathologic features of colon cancer, and to analyze the predictive value of HALP score for postoperative liver metastasis. Methods The clinical data of 163 patients with colon cancer admitted to the 909th Hospital of Joint Logistic Support Force (Dongnan Hospital of Xiamen University) from January 2018 to December 2019 were retrospectively analyzed. According to the occurrence of postoperative liver metastasis, the patients were divided into metastatic group (n=35) and non-metastatic group (n=128). The correlation between preoperative HAPL score and clinicopathologic features of colon cancer was analyzed. The predictive value of HALP score for postoperative liver metastasis of colon cancer was analyzed by using receiver operating characteristic (ROC) curve. The risk factors of liver metastasis after colon cancer surgery were analyzed by using univariate and multivariate logistic analysis. Kaplan-Meier risk curve was drawn, and log-rank test was used to analyze the predictive value of different HALP score for postoperative liver metastasis. Results HALP score were decreased in patients with maximum tumor diameter ≥5 cm, preoperative carcinoembryonic antigen (CEA) ≥5 μg/L, serous membrane and extrasserous infiltration, lymph node metastasis and vascular invasion, and the difference was statistically significant (P<0.05). Multivariate logistic regression analysis showed that HALP score [OR=1.467, 95%CI (1.253, 1.718), P<0.001], maximum tumor diameter [OR=3.476, 95%CI (1.475, 5.358), P=0.013], preoperative CEA level [OR= 6.197, 95%CI (2.436, 6.248), P=0.005], and lymph node metastasis [OR=2.593, 95%CI (1.667, 6.759) , P=0.003] were risk factors for postoperative liver metastasis of colon cancer. ROC curve analysis showed that the area under the curve of HALP score for predicting liver metastasis after colon cancer surgery was 0.908 (0.841, 0.974), the maximum value of the Youden index was 0.738, the optimal cut-off value of the HALP score was 35.5, the sensitivity was 0.852, the specificity was 0.886. Kaplan-Meier risk curve showed that the risk of early postoperative liver metastasis in the low HALP score group was higher than that in the high HALP score group (χ2=8.126, P=0.004). Conclusion Low HALP score in patients with colon cancer is associated with adverse prognosisi related pathological features, and is an influential factor for postoperative liver metastasis of colon cancer, and has predictive value for patients with postoperative liver metastasis of colon cancer.
Objective To analyze the diagnostic value of shear wave elastography (SWE) combined with vascular endothelial growth factor B (VEGF-B) and hemoglobin A1c (HbA1c) in early diabetic peripheral neuropathy (DPN). Methods A total of 100 patients with type 2 diabetes mellitus (T2DM) admitted to Mianyang Central Hospital between October 2020 and October 2023 were selected and divided into a T2DM with DPN group (n=31) and a T2DM without DPN group (n=69) based on the presence or absence of DPN. Additionally, 50 healthy individuals from the same hospital’s health examination center were included as a healthy control group. The basic clinical characteristics, mean elasticity (Emean) values of the left and right median and tibial nerves, serum VEGF-B, and HbA1c levels were compared among the three groups. The diagnostic efficacy of SWE, VEGF-B, and HbA1c for DPN was evaluated using receiver operating characteristic (ROC) curves, and Pearson correlation analysis was performed to assess the relationships between median/tibial nerve Emean and VEGF-B/HbA1c. Results The Emean values of the left and right median nerves, Emean values of the left and right tibial nerves, serum VEGF-B, and HbA1c levels in the T2DM with DPN group were significantly higher than those in the T2DM without DPN group and the healthy control group (P<0.05). The Emean values of the left and right median and tibial nerves, Emean values of the left and right tibial nerves, and HbA1c level in the T2DM without DPN group were significantly higher than those in the healthy control group (P<0.05), while no significant difference was observed in serum VEGF-B level between the T2DM without DPN group and the healthy control group (P>0.05). The area under the ROC curve for the combined diagnosis of DPN using SWE, VEGF-B, and HbA1c was 0.859 [95% confidence interval (0.828, 0.955)]. The sensitivity of the combined diagnosis (93.72%) was significantly higher than that of individual diagnoses (78.82%, 75.39%, and 71.05%, respectively; P<0.05), while the specificity (88.64%) showed no significant difference compared to individual diagnoses (80.18%, 78.96%, and 82.88%, respectively; P>0.05). Positive correlations were observed between median/tibial nerve Emean and VEGF-B/HbA1c levels (r=0.428, 0.395, 0.416, and 0.416, respectively; P<0.05). Conclusions Elevated median/tibial nerve Emean, serum VEGF-B, and HbA1c levels are closely associated with DPN. The combination of SWE, VEGF-B, and HbA1c improves diagnostic sensitivity for DPN, demonstrating significant clinical value.
High performance liquid chromatography (HPLC) is currently the mainstream technology for detecting hemoglobin. Glycated hemoglobin (HbA1c) is a gold indicator for diagnosing diabetes, however, the accuracy of HbA1c test is affected by thalassemia factor hemoglobin F (HbF)/hemoglobin A2 (HbA2) and variant hemoglobin during HPLC analysis. In this study, a new anti-interference hemoglobin analysis system of HPLC is proposed. In this system, the high-pressure three-gradient elution method was improved, and the particle size and sieve plate aperture in the high-pressure chromatography column and the structure of the double-plunger reciprocating series high-pressure pump were optimized. The system could diagnose both HbA1c and thalassemia factor HbF/HbA2 and variant hemoglobin, and the performance of the system was anti-interference and stable. It is expected to achieve industrialization. In this study, the HbA1c and thalassemia factor HbF/HbA2 detection performance was compared between this system and the world’s first-line brand products such as Tosoh G8, Bio-Rad Ⅶ and D10 glycosylated hemoglobin analysis system. The results showed that the linear correlation between this system and the world-class system was good. The system is the first domestic hemoglobin analysis system by HPLC for screening of HbA1c and thalassemia factor HbF/HbA2 rapidly and accurately.
ObjectiveTo explore the association between glycosylated hemoglobin level and poor prognosis in acute ischemic stroke (AIS) patients treated with intravenous thrombolysis.MethodsThe AIS patients treated with recombinant tissue-type plasminogen activator who were hospitalized in the Department of Neurology of the First Affiliated Hospital of Henan University of Science and Technology from September to December 2020 were retrospectively included. According to different levels of glycosylated hemoglobin, they were divided into pre-diabetic group (5.7%≤glycated hemoglobin≤6.4%), diabetic group (previously diabetic or glycosylated hemoglobin≥6.5%), and non-diabetic group (glycated hemoglobin <5.7%). The relevant information of the patients was collected, and a telephone follow-up was conducted 90 days after discharge. According to the modified Rankin Scale (mRS) score, the patients were divided into the good prognosis group (mRS score≤2) and the poor prognosis group (mRS score>2). Logistic regression analysis was used to determine the risk factors for the poor prognosis of intravenous thrombolysis in patients with AIS.ResultEventually 101 patients were included, including 44 in the non-diabetic group, 24 in the pre-diabetic group, and 33 in the diabetic group. And 64 patients were in the good prognosis group and 37 patients were in the poor prognosis group. Regression analysis results showed that diabetes was associated with poor prognosis 3 months after intravenous thrombolysis in patients with AIS [odds ratio=6.518, 95% confidence interval (1.568, 27.096), P=0.010]; and the higher the National Institutesof Health Stroke Scale score at admission was, the higher the risk of poor prognosis would be [odds ratio=1.421, 95% confidence interval (1.231, 1.640), P<0.001].ConclusionIn AIS patients who received intravenous thrombolysis, diabetes is associated with poor prognosis after 3 months.
Objective To investigate the correlation between glycosylated hemoglobin A1c (HbA1c) and severity of coronary artery lesions in young men with acute myocardial infarction (AMI). Methods Total 278 young men with AMI less than 45 years old were retrospectively studied, and all of them were admitted to hospital from January 2009 to December 2011, and had undergone coronary angiography. According to the results of coronary angiography, the patients were divided into three groups based on the number of artery lesions: the single group (156 cases), the double group (64 cases) and the triple group (58 cases). The relationship between the severity of coronary artery lesions and the following factors were observed: HbA1c, systolic blood pressure (SBP), diastolic blood pressure (DBP), hemoglobin (Hb), serum uric acid (UA), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), body mass index (BMI), smoking history, drinking history and family history of early coronary artery disease. Results a) HbA1c levels were gradually raised in all the three groups, but the single group (6.39±1.67%) was significantly lower than the double group (6.91±1.63%) and the triple group (7.41±2.12%), with significant differences (Plt;0.05); the HbA1c level of the single group was significantly lower than the triple group in both the ST-segment elevation AMI (6.42±1.68% vs. 7.17±1.86%, Plt;0.05) and the non-ST-segment AMI (5.57±0.37% vs. 8.56±2.83%, Plt;0.05); the HbA1c level of the single group was significantly lower than the triple group in patients with diabetes millitus (8.31±1.83% vs. 8.59±2.02%, Plt;0.05) and in patients without diabetes millitus (5.56±0.33% vs. 5.74±0.37%, Plt;0.05); b) There were significant differences in SBP, TC, HDL-C, LDL-C and drinking history between the single group and the other two groups (all Plt;0.05), and there were significant differences in DBP and TG between the single group and the double group (all Plt;0.05); and c) The results of logistic regression analysis showed that, LDL-C (OR=1.790), HbA1c (OR=1.287) and SBP (OR=1.042) were the independent risk factors (all Plt;0.05) for multiple lesions in coronary arteries of young men with AMI. Conclusion Glycosylated hemoglobin A1c is an independent risk factor for multiple lesions in coronary arteries of young men with AMI.
Spectrophotometry is a simple hemolytic evaluation method commonly used in new drugs, biomedical materials and blood products. It is for the quantitative analysis of the characteristic absorption peaks of hemoglobin. Therefore, it is essential to select the correct detection wavelength when the evaluation system has influences on the conformation of hemoglobin. Based on the study of changes in the characteristic peaks over time of the hemolysis supernatant in four systems, namely, cell culture medium, phosphate buffered saline (PBS), physiological saline and banked blood preservation solution, using continuous wavelength scanning, the selections of detection wavelength were proposed as follows. In the cell culture medium system, the wavelength of 415 nm should be selected within 4 h; , near 408 nm should be selected within 4~72 h. In PBS system, within 4 h, 541 nm, 577 nm or 415 nm should be selected; 4~72 h, 541 nm, 577 nm or near 406 nm should be selected. In physiological saline system, within 4 h, 414 nm should be selected; 4~72 h, near 405 nm should be selected; within 12 h, 541 nm or 577 nm could also be selected. In banked blood preservation solution system, within 72 h, 415 nm, 540 nm or 576 nm should be selected.
ObjectiveTo observe and analyze the correlation between time within target glucose range (TIR) and hemoglobin A1c (HbA1c) and the risk of diabetic retinopathy (DR). MethodsA retrospective clinical study. From March 2020 to August 2021, 91 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in Department of Endocrinology and Metabolic Diseases, Affiliated Hospital of Weifang Medical University, were included in the study. All patients underwent Oburg's no-dilatation ultra-wide-angle laser scan ophthalmoscopy, HbA1c and continuous glucose monitoring (CGM) examinations. According to the examination results and combined with the clinical diagnostic criteria of DR, the patients were divided into non-DR (NDR) group and DR group, with 50 and 41 cases respectively. The retrospective CGM system was used to monitor the subcutaneous interstitial fluid glucose for 7 to 14 consecutive days, and the TIR was calculated. Binary logistic regression was used to analyze the correlation between TIR, HbAlc and DR in patients with T2DM0. At the same time, a new indicator was generated, the predicted probability value (PRE_1), which was generated to represent the combined indicator of TIR and HbA1c in predicting the occurrence of DR. The receiver operating characteristic curve (ROC curve) was used to analyze the value of TIR, HbAlc and PRE_1 in predicting the occurrence of DR. ResultsThe TIR of patients in the NDR group and DR group were (81.58±15.51)% and (67.27±22.09)%, respectively, and HbA1c were (8.03±2.16)% and (9.01±2.01)%, respectively. The differences in TIR and HbA1c between the two groups of patients were statistically significant (t=3.501,－2.208; P=0.001, 0.030). The results of binary logistic regression analysis showed that TIR, HbA1c and DR were significantly correlated (odds ratio=0.960, 1.254; P=0.002, 0.036). ROC curve analysis results showed that the area under the ROC curve (AUC) of TIR, HbA1c and PRE_1 predicting the risk of DR were 0.704, 0.668, and 0.707, respectively [95% confidence interval (CI) 0.597-0.812, P=0.001; 95%CI 0.558-0.778, P=0.006; 95%CI 0.602-0.798, P=0.001]. There was no statistically significant difference between TIR, HbA1c and PRE_1 predicting the AUC of DR risk (P>0.05). The linear equation between HbAlc and TIR was HbAlc (%) = 11.37－0.04×TIR (%). ConclusionsTIR and HbA1c are both related to DR and can predict the risk of DR. The combined use of the two does not improve the predictive value of DR. There is a linear correlation between TIR and HbAlc.
Objectives To systematically analyze the effect of high-intensity and low-intensity resistance training on glycosylated hemoglobin (HbA1c) in elderly patients with type 2 diabetes. Methods PubMed, EBSCO, Cochrane Library, Web of science, Wanfang, Chinese National Knowledge Infrastructure and Chongqing VIP were searched to collect randomized controlled trials of resistance training intervention in elderly patients with type 2 diabetes. The search time limit was from the establishment of the database to August 28, 2021, and the RevMan 5.3 and Stata 15.0 software were used for meta-analysis. Results A total of 415 patients in 8 articles were included in this study. A subgroup analysis based on control measures showed that compared with the resistance training group, the HbA1c level effect value of the non- training group was weighted mean difference (WMD) = −0.54% [95% confidence interval (CI) (−1.06%, −0.03%), P=0.04)], the HbA1c level effect value of the flexibility training group was WMD=−0.47% [95%CI (−1.05%, 0.12%), P=0.12], the HbA1c level effect value of the aerobic training group was WMD=−0.10% [95%CI (−0.71%, 0.51%), P=0.75]. Subgroup analysis of resistance strength showed that compared with the flexibility or non-resistance training group, both high-intensity [WMD=−0.99%, 95%CI (−1.16%, −0.81%), P<0.00001] and low- and medium-intensity resistance training [WMD=−0.29%, 95%CI (−0.58%, −0.01%), P=0.05] can reduce HbA1c. Compared with the high-intensity resistance training, the HbA1c level effect value of the low- and medium-intensity resistance training was WMD=0.03% [95%CI (−0.33%, 0.39%), P=0.88]. Compared with the low- and medium-intensity resistance training, the HbA1c level effect value of the low- and medium-intensity aerobic training was WMD=−0.10% [95%CI (−0.71%, 0.51%), P=0.75]. Among all the included studies, only the high-intensity resistance training group reported multiple adverse events.ConclusionsCurrent evidence suggests that elderly patients with type 2 diabetes are more suitable to choose low-to-medium-intensity resistance training to control HbA1c. It is recommended that elderly patients with type 2 diabetes take 60% to 75% of the maximum muscle strength of medium-intensity resistance training.
ObjectiveTo study the relationship between preoperative pan-immune-inflammation value (PIV), preoperative hemoglobin, albumin, lymphocyte and platelet score (HALP) and tumor pathological features and microsatellite status of colorectal cancer, and to analyze the predictive value of HALP and PIV for microsatellite status. MethodsThe clinicopathological data of 156 patients who underwent radical colorectal cancer resection admitted to the Second Hospital of Shanxi Medical University from May 2021 to February 2024 were retrospectively analyzed. HALP and PIV were calculated by preoperative related laboratory indicators, and then the patients were divided into high HALP/low HALP (HHALP/LHALP) group (n=78) and high PIV/low PIV (HPIV/LPIV) group (n=78) according to the median of their calculated values. The correlation between preoperative HALP and PIV and clinicopathologic features of colorectal cancer was analyzed. According to the results of microsatellite stability detection, the patients were divided into microsatellite standard/microsatellite instability-high（MSS/MSI-H）group. The correlation between preoperative HALP and PIV and microsatellite stability was analyzed. The predictive value of HALP and PIV for microsatellite status was analyzed by using receiver operating characteristic (ROC) curve. ResultsThere were statistically significant differences in tumor diameter, tumor location, HALP, T stage and microsatellite status between the HPIV group and the LPIV group (P<0.05), and high PIV was more common in patients with right-sided colon cancer and MSI-H, and the tumors were larger and had higher T stage. The differences in gender, body mass index（BMI）, tumor diameter, tumor location, PIV, T stage and microsatellite status between the HHALP group and the LHALP group were statistically significant (P<0.05), and low HALP was more common in women, patients with right-sided colon cancer, and MSI-H, and had a low BMI, large tumors, and high T stage. There were statistically significant differences in HALP and PIV between MSS group and MSI-H group (P<0.05), and patients with MSI-H tended to have low HALP and high PIV, and the area under curve of HALP and PIV in predicting MSI-H for colorectal cancer was 0.848 9 and 0.851 6, respectively, and the optimal cut-off value was 26.84 scores and 507.04, respectively, and the sensitivity was 1.000, 0.923, specificity 0.643, 0.817, respectively. ConclusionLow HALP and high PIV are more common in patients with right-sided colon cancer and MSI-H, who have poor nutritional and immune status, severe inflammation, larger tumors, deeper invasion, and predictive value for MSI-H, which can assist in the formulation of clinical treatment plans to a certain extent.