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.
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.
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.
Objective Historically, perioperative hemoglobin monitoring has relied on calculated saturation, using blood gas devices that measure plasma hematocrit (Hct). Co-oximetry, which measures total hemoglobin (tHb), yields a more comprehensive assessment of hemodilution. The purpose of this study was to examine the association of tHb measurement by co-oximetry and Hct, using conductivity with red blood cell (RBC) transfusion, length of stay (LOS) and inpatient costs in patients having major cardiac surgery. Methods A retrospective study was conducted on patients who underwent coronary artery bypass graft (CABG) and/or valve replacement (VR) procedures from January 2014 to June 2016, using MedAssets discharge data. The patient population was sub-divided by the measurement modality (tHb and Hct), using detailed billing records and Current Procedural Terminology coding. Cost was calculated using hospital-specific cost-to-charge ratios. Multivariable logistic regression was performed to identify significant drivers of RBC transfusion and resource utilization. Results The study population included 18 169 cardiovascular surgery patients. Hct-monitored patients accounted for 66% of the population and were more likely to have dual CABG and VR procedures (10.4% vs. 8.9%, P=0.006 9). After controlling for patient and hospital characteristics, as well as patient comorbidities, Hct-monitored patients had significantly higher RBC transfusion risk (OR=1.26, 95%CI 1.15-1.38,P<0.000 1), longer LOS (IRR=1.08, P<0.000 1) and higher costs (IRR=1.15, P<0.000 1) than tHb-monitored patients. RBC transfusions were a significant driver of LOS (IRR=1.25, P<0.000 1) and cost (IRR=1.22, P<0.000 1). Conclusion tHb monitoring during cardiovascular surgery could offer a significant reduction in RBC transfusion, length of stay and hospital cost compared to Hct monitoring.
ObjectiveTo explore the relationship between glycated hemoglobin (HbA1c) level and blood glucose fluctuations after coronary artery bypass grafting (CABG) and adverse events in non-diabetic patients, thus providing theoretical support for intensive preoperative blood glucose management in patients undergoing CABG surgery.MethodsA total of 304 patients undergoing CABG with or without valvular surgery from October 2013 to December 2017 were enrolled in this prospective, single-center, observational cohort study. We classified them into two different groups which were a low-level group and a high-level group according to the HbA1c level. There were 102 males and 37 females, aged 36–85 (61.5±9.5) years in the low-level group, and 118 males and 47 females aged 34–85 (63.1±9.4) years in the high-level group. The main results were different in hospital mortality and perioperative complications including in-hospital death, myocardial infarction, sternal incision infection, new stroke, new-onset renal failure and multiple organ failure. To assess the effects of confounding factors, multivariate logistic regression analysis was used.Results Postoperative blood glucose fluctuation was more pronounced in the high-level group than that in the low-level group before admission [0.8 (0.6, 1.2) mmol/L vs. 1.0 (0.8, 1.8) mmol/L, P<0.01]. This study also suggested that the incidence of major adverse events was significantly lower in the low-level group compared with the high-level group (P=0.001). Multivariate logistic regression analyses to correct the influence of other confounding factors showed that HbA1c (OR=2.773, P=0.002) and postoperative blood glucose fluctuations (OR=3.091, P<0.001) could still predict the occurrence of postoperative adverse events.ConclusionHbA1c on admission can effectively predict blood glucose fluctuations in 24 hours after surgery. Secondly, HbA1c on admission and postoperative blood glucose fluctuations can further predict postoperative adverse events. It is suggested that we control the patient's preoperative HbA1c at a low level, which is beneficial to control postoperative blood glucose fluctuation and postoperative adverse events.
Objective To study the correlation of preoperative hemoglobin amount with venous thromboembolism (VTE) after surgical treatment of bronchiectasis and the clinical significance. Methods A retrospective study was performed on patients with bronchiectasis who underwent surgical treatment in our center from June 2017 to November 2021. The differences in blood parameters between the VTE patients and non-VTE patients were compared. The relationship between preoperative hemoglobin and VTE was confirmed by quartile grouping and receiver operating characteristic (ROC) curve. Results A total of 122 patients were enrolled, including 50 males and 72 females, with a mean age of 52.52±12.29 years. The overall incidence of VTE after bronchiectasis was 9.02% (11/122). Preoperative hemoglobin amount (OR=0.923, 95%CI 0.870-0.980, P=0.008) and D-dimer amount (OR=1.734, 95%CI 1.087-2.766, P=0.021) were independent influencing factors for VTE after bronchiectasis. The incidence of VTE after bronchiectasis decreased gradually with the increase of preoperative hemoglobin amount. The area under the ROC curve (AUC) of postoperative D-dimer alone was 0.757, whereas the AUC of postoperative D-dimer combined with preoperative hemoglobin amount was 0.878. Conclusion Low preoperative hemoglobin is an independent risk factor for postoperative VTE. Postoperative D-dimer combined with preoperative hemoglobin amount has a better predictive performance compared with postoperative D-dimer alone for postoperative VTE.
Objective To discuss the screening and diagnostic value of nocturnal oximetry saturation monitoring combined with clinical score (CS) for patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods A total of 106 snorers were recruited in the analysis whose general information and medical history were collected respectively. All patients received polysomnography (PSG) and oximeter monitoring. The patients were divided into a non-OSAHS group and an OSAHS group according to apnea hypopnea index (AHI). A correlation analysis was made between PSG-AHI and oximeter-ODI to analyze the diagnostic sensitivity and specificity of different ODI combined with CS for OSAHS. Results The AHI, ODI, CS for the non-OSAHS group were 1.8±1.4 times/h, 2.6±3.5 times/h and 1.0±0.8; while for the OSAHS group they were correspondingly 37.3±23.9 times/h, 31.0±24.1 times/h, 2.6±1.1. There was a significant correlation between ODI and AHI (r=0.943, P<0.01). The sensitivity and specificity of ODI≥5 times/h combined with CS≥2 for diagnosis of OSAHS were 91.7% and 94.1% respectively, which had the value of preliminary screening. The sensitivity and specificity of ODI≥10 times/h combined with CS≥2 for diagnosis of OSAHS were 77.8% and 100.0% respectively, which would not result in misdiagnose for severe patients with AHI >30 times/h, so it could be an index of severe OSAHS screening. Conclusion Nocturnal oxyhemoglobin saturation monitoring combined with clinical score is of significant value for initial diagnosis of OSAHS.
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.