ObjectiveTo establish a normal reference value range of specific thyroid function in pregnant women corresponding to Beckman reagent in Chengdu.MethodsWe randomly selected 120 non-pregnant women and 445 pregnant women who underwent routine examinations at the First Affiliated Hospital of Chengdu Medical College from November 2016 to June 2017; tested for free triiodothyronine (FT3), free thyroxine (FT4), and thyroid stimulating hormone (TSH) in serum; used SPSS 24.0 to calculate the bilateral limit of each index (Section 2.5, 97. 5 Quot); established the normal range of Beckman reagent.ResultsThe reference ranges of FT3, FT4, and TSH in the first, second, and third trimester of pregnancy were 4.41–6.33, 4.17–6.12, and 3.86–6.39 pmol/L; 7.64–14.63, 6.62–13.69, and 6.62–12.51 pmol/L; 0.21–3.62, 0.16–4.35, and 0.89–4.88 mU/L; respectively. There was no significant difference in serum TSH between the first and second trimester (P>0.05), and neither between the first and second trimesters and the controls in serum FT3 (P>0.05). The differences in serum FT3, FT4, and TSH among the rest of trimesters, and between each trimester and the normal control group were statistically significant (P<0.05). There was a significant correlation between TSH and FT4 in the early and middle stages of pregnancy (r=–0.277, –0.392, P<0.01).ConclusionThe reference value of FT3, FT4, and TSH in pregnant women with Beckman reagent was significantly different from that in non-pregnant women.
With the development of transcatheter aortic valve replacement, it has become the first-line treatment for elderly patients with aortic valve stenosis. A case of transcatheter aortic valve replacement in a patient at high risk of coronary artery occlusion was reported. The use of intravascular ultrasound to observe the spatial relationship between the coronary ostia and the valve was the characteristic of this case. This patient was an elderly male who was assessed as a high risk of acute coronary artery occlusion before transcatheter aortic valve replacement. After fully evaluation of the patient’s surgical risks\benefits, the strategy was formulated. Percutaneous coronary intervention was the first step. At the same time, intravascular ultrasound was used to observe the spatial relationship between the coronary ostia and the valve, and balloon was embedded for coronary protection. The procedure went smoothly.
ObjectiveTo evaluate the value of blood urea nitrogen to creatinine ratio (UCR) in predicting the condition and prognosis of severe pneumonia patients.MethodsA total of 408 patients with severe pneumonia hospitalized in the intensive care unit (ICU) of Fangcun branch of Guangdong Provincial Hospital of traditional Chinese medicine from January 1, 2017 to August 1, 2020 were retrospectively collected. The patients were divided into a survival group (320 cases) and a death group (88 cases) according to the outcome of hospitalization. This study analyzed the relationship between UCR level and general information, condition, and treatment needs of severe pneumonia patients; and compared UCR, the value of neutrophil to lymphocyte ratio, the levels of hematocrit, C-reactive protein, procalcitonin and D-dimer, and the scores of Acute Physiology and Chronic Health EvaluationⅡ and Pneumonia Severity Index between the survival group and the death group. Receiver operating characteristic (ROC) curve was used to analyze the prognostic value of the above indicators. Logistic regression was used to analyze the risk factors of death of severe pneumonia.ResultsThe age of the patients died of severe pneumonia was higher than that of the survival patients (P<0.05); The mortality rate of severe hospital acquired pneumonia was higher than that of severe community acquired pneumonia (P<0.05); The level of UCR was higher in the patients over 70 years old (P<0.05); UCR level of the severe pneumonia patients with acute exacerbation of chronic obstructive pulmonary disease or multiple organ dysfunction syndrome during hospitalization was higher (P<0.05); The UCR level was higher in the patients with severe pneumonia whose ICU stay was more than 10 days (P<0.05); The UCR level of the severe pneumonia patients with mechanical ventilation longer than 180 hours was higher (P<0.05); UCR level of the severe pneumonia patients who died during hospitalization was higher than that of the survival group (P<0.05); The area under ROC curve of UCR for predicting death in the patients with severe pneumonia was 0.648 (95%CI 0.576 - 0.719), the cut-off value was 108.74, the sensitivity was 47.7%, and the specificity was 77.8% (P<0.05). PSI > level 3 (OR=4.297, 95%CI 2.777 - 6.651) and UCR > 108.74 (OR=0.545, 95%CI 0.332 - 0.896) were independent risk factors for death in the patients with severe pneumonia (P<0.05).ConclusionUCR has certain value in evaluating the condition and prognosis of severe pneumonia patients.
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.
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.
Blockchain is a modern technological model for concatenating transaction records (also called blocks) by means of cryptography to concatenate and protect the contents. The core of blockchain technology lies in the demand of reducing cost, improving efficiency and optimizing the industry credit environment. The role of blockchain is mainly manifested in the value increment brought by application in industrial scenarios. This paper introduces the application of blockchain technology in medical records information preservation and sharing, regional medical complex construction, protection of sensitive information of patients, improvement of industry transparency, drug authenticity tracing, improvement of medical work mode, and effective improvement of medical cost safety accounting efficiency and discusses the existing problems in the application of blockchain technology in medical care industry, aiming to provide a reference for better application of blockchain technology in medical care industry in the future.
Objective To analyze the value of serum levels of miR-141-3p, miR-130a, miR-29a-3p, and miR-210 in predicting early neurological deterioration (END) in non-traumatic intracerebral hemorrhage. Methods The patients with non-traumatic cerebral hemorrhage who met the selection criteria and were admitted to Chengde Central Hospital between February 2021 and October 2022 were prospectively selected by convenience sampling method. The serum miR-141-3p, miR-130a, miR-29a-3p, and miR-210 levels upon admission and the occurrence of neurological deterioration within 24 h were collected, and the patients were divided into a deterioration group and a non-deterioration group according to whether neurological deterioration occurred. The correlation of serum miR-141-3p, miR-130a, miR-29a-3p, and miR-210 levels with the END of non-traumatic intracerebral hemorrhage and their predictive value to the END of non-traumatic intracerebral hemorrhage were analyzed. Results A total of 235 patient were enrolled. Of the 235 patients, 45 (19.1%) showed neurological deterioration and 190 (80.9%) showed no neurological deterioration. The levels of miR-141-3p and miR-29a-3p in the deteriorating group were significantly lower than those in the non-deteriorating group [(1.11±0.32) vs. (1.76±0.51) ng/mL, P<0.001; (1.19±0.31) vs. (1.71±0.51) ng/mL, P<0.001], and the levels of miR-130a and miR-210 were significantly higher than those in the non-deteriorating group [(5.13±1.11) vs. (3.82±1.03) ng/mL, P<0.001; (3.96±0.76) vs. (2.78±0.50) ng/mL, P<0.001]. Multivariate logistic regression analysis showed that serum miR-141-3p and miR-29a-3p levels were protective factors for the occurrence of END in non-traumatic intracerebral hemorrhage patients [odds ratio (OR)=0.513, 95% confidence interval (CI) (0.330, 0.798), P=0.003; OR=0.582, 95%CI (0.380, 0.893), P=0.013], and serum miR-130a and miR-210 levels were independent risk factors for that [OR=2.046, 95%CI (1.222, 3.426), P=0.007; OR=2.377, 95%CI (1.219, 4.638), P=0.011]. The area under the receiver operating characteristic curve was 0.857 [95%CI (0.760, 0.954)] in predicting the END of non-traumatic intracerebral hemorrhage by the combined probability of the serum miR-141-3p, miR-130a, miR-29a-3p, and miR-210 levels obtained by logistic regression, and the sensitivity was 86.7%, the specificity was 94.7%, the positive predictive value was 79.6%, and the negative predictive value was 96.8% according to the cut-off value of the prediction probability of the combined test. Conclusion The combined detection of serum miR-141-3p, miR-130a, miR-29a-3p, and miR-210 has a high predictive value in the occurrence of END in non-traumatic intracerebral hemorrhage patients.
In order to fully explore the neural oscillatory coupling characteristics of patients with mild cognitive impairment (MCI), this paper analyzed and compared the strength of the coupling characteristics for 28 MCI patients and 21 normal subjects under six different-frequency combinations. The results showed that the difference in the global phase synchronization index of cross-frequency coupling under δ-θ rhythm combination was statistically significant in the MCI group compared with the normal control group (P = 0.025, d = 0.398). To further validate this coupling feature, this paper proposed an optimized convolutional neural network model that incorporated a time-frequency data enhancement module and batch normalization layers to prevent overfitting while enhancing the robustness of the model. Based on this optimized model, with the phase locking value matrix of δ-θ rhythm combination as the single input feature, the diagnostic accuracy of MCI patients was (95.49 ± 4.15)%, sensitivity and specificity were (93.71 ± 7.21)% and (97.50 ± 5.34)%, respectively. The results showed that the characteristics of the phase locking value matrix under the combination of δ-θ rhythms can adequately reflect the cognitive status of MCI patients, which is helpful to assist the diagnosis of MCI.
Objective To explore the predictive value of Composite Congestion Score (CCS) in predicting adverse events within 180 days in patients with acute heart failure (AHF) in emergency intensive care unit (EICU). Methods The patients with AHF who were admitted to EICU of Zigong Fourth People’s Hospital between January 1, 2018 and December 31, 2020 were included consecutively. The patients were followed up for 180 days, and were divided into poor prognosis group and good prognosis group according to whether there were adverse events. Logistic regression equation was used to screen independent risk factors for predicting adverse events in patients with AHF within 180 days after leaving EICU. To compare the discrimination, calibration and clinical usefulness of independent risk factors at EICU discharge and the Acute Physiology and Chronic Health Assessment SystemⅡ (APACHEⅡ) score at EICU admission to predict the occurrence of adverse events of AHF. Results A total of 71 patients were included, including 32 patients with good prognosis and 39 patients with poor prognosis. Except for age, APACHEⅡscore at EICU admission and CCS score at EICU discharge (P<0.05), there was no significant difference in other indicators between the two groups (P>0.05). Logistic regression analysis showed that CCS score at EICU discharge [odds ratio (OR)=2.806, 95% confidence interval (CI) (1.428, 5.512), P=0.003], age [OR=1.086, 95%CI (1.017, 1.159), P=0.013] were independent risk factors for predicting death or returning to hospital within 180 days. Among them, the CCS score at EICU discharge combining with age had a positive improvement ability compared with the CCS score at EICU discharge, the age, and the APACHE Ⅱ score at EICU admission. The calibration curves of the four scoring methods for predicting adverse events within 180 days showed that the CCS score at EICU discharge had the highest calibration and the calibration of age was the lowest. The decision curve showed that the clinical usefulness of age, the CCS score at EICU discharge and the CCS score at EICU discharge combining with age was better than the APACHE Ⅱ score at EICU admission. Conclusions The CCS score of patients with AHF at EICU discharge is closely related to adverse events within 180 days. The CCS score is designed based on clinical variables, simple and practical. The combination of age and the CCS score at EICU discharge will further enhance its clinical application value.
ObjectiveTo evaluate the predictive value of C-reactive protein/albumin ratio (CAR) for postoperative complications of pancreaticoduodenectomy (PD).MethodsThe clinical data of 134 patients with pancreaticoduodenectomy (PD) in the Department of Pancreatic Surgery of The First Affiliated Hospital of Xinjiang Medical University from 2015 to 2018 were retrospectively collected, including general conditions and postoperative complications. The predictive value of CAR was calculated.ResultsOf the 134 patients, 38 patients suffered from postoperative pancreatic fistula (POPF), 32 patients suffered from abdominal infection, 5 patients suffered from biliary fistula, 63 patients suffered from delayed gastric emptying (DGE), 13 patients suffered from post pancreatectomy hemorrhage (PPH), 8 patients suffered from wound infection, and 1 patient suffered from chyle leakage. There was no significant difference in general conditions such as gender, age, BMI, American Society of Anesthesiologists (ASA) score, tumor nature, tumor diameter, operative time, intraoperative blood loss, diabetes history, jaundice history, and drinking history (P>0.05), but the hospital stay in the complication group was longer than that of the non-complication group (P<0.05). The value of CAR in the pancreatic fistula and abdominal infection group were significantly higher than those in the non-complication group at 1 d, 3 d and 5 d (exclude 1 day after surgery on POPF), the difference was statistically significant (P<0.05). On the 3rd day after surgery, the sensitivity of CAR predicting POPF was 79.95%, the specificity was 86.46%; the sensitivity of predicting abdominal infection was 75.00%, the specificity was 81.37%, and the result was better than using procalcitonin (PCT) alone, but similar with C-reactive protein (CRP) alone or CRP+PCT.ConclusionPostoperative CAR can better predict POPF and abdominal infection after PD, and the effect is better than PCT alone.
