目的 探讨替比夫定治疗乙肝e抗原（HBeAg）阳性慢性乙型肝炎（CHB）患者72周的疗效及预测因素的分析。 方法 选择2007年9月－2012年9月符合入选标准的82例CHB患者接受替比夫定治疗72周，于治疗前基线、治疗后每3个月查丙氨酸氨基转移酶（ALT）、乙肝病毒DNA（HBV DNA）、乙肝病毒血清标志物，观察治疗期间累计生化学应答率、完全病毒学应答率(CVR)、HBeAg血清学转换率（SR）及耐药率，分析基线ALT水平[分为＜5 ULN（正常值检测下限）组及≥5 ULN组]、HBV DNA水平（分为＜107 copies/mL组及≥107 copies/mL组）、24周HBV DNA水平（＜3 log 10 copies/mL组及≥3 log 10 copies/mL组），预测72周CVR及SR。 结果 172周累计生化学应答率、CVR、SR、耐药率分别为86.6%、81.7%、42.7%、18.2%；2基线ALT≥5 ULN对72周SR有预测价值（χ2=5.651，P=0.017），HBV DNA＜107 copies/mL对CVR有预测价值（χ2=7.083，P=0.008）；324周HBV DNA＜103 copies/mL对72周CVR及SR均有预测价值（χ2=27.339，5.131；P=0.000，0.023）。 结论 替比夫定初治HBeAg阳性CHB患者疗效及安全性好，治疗24周HBV DNA＜103 copies/mL是72周疗效的最佳预测指标。
Objective Exploring the correlation between intravesical pressure (IP) and diaphragm excursion (DE) in patients with severe acute pancreatitis (SAP) and acute respiratory distress syndrome (ARDS), and evaluating its predictive value for weaning outcomes. Methods A retrospective analysis was conducted on the clinical data of 144 SAP patients with ARDS admitted between 2020 and 2023. By collecting the outcome of weaning, collect data on gender, age, acute physiology and chronic health score II (APACHE II), oxygenation index, and IP and DE before weaning and extubation for all patients. Based on weaning outcomes, divide patients into successful and failed groups, and compare the differences in various indicators between the two groups; Use binary logistic regression to analyze whether IP and DE are risk factors affecting weaning in SAP patients with ARDS, and use Pearson correlation analysis to examine the correlation between IP and DE; Use receiver operating characteristic curve (ROC curve) to analyze the predictive value of IP and DE on weaning outcomes in SAP patients with ARDS. ResultsA total of 144 SAP patients with ARDS were included, of which 108 were successfully weaned and 36 were unsuccessful. There were no statistically significant differences in gender, age, and APACHE II scores between the successful and failed groups (males: 62.96% (68/108) compared to 69.44% (25/36), age (years): 41.91 ± 8.14 compared to 42.42 ± 6.22, APACHE II score (points): 18.28 ± 2.22 compared to 18.97 ± 1.83, P>0.05). The IP of the successful group was significantly lower than that of the failed group, and the DE was significantly higher than that of the failed group [IP (mmHg): 18.45 ± 3.76 compared to 23.92 ± 5.65, DE (mm): 16.18 ± 4.23 compared to 12.28 ± 4.44, all P<0.05]. All patients showed a significant negative correlation between IP and DE (r=–0.457, P<0.001). ROC curve analysis showed that the area under the curve (AUC) of IP predicting the withdrawal outcome of SAP patients with ARDS was 0.805, with a 95% confidence interval (95%CI) of 0.724-0.885 and P<0.001. When the cutoff value was 19.5 mmHg, the sensitivity was 91.57% and the specificity was 47.54%; The AUC for predicting the withdrawal outcome of SAP patients with ARDS by DE was 0.738, with a 95%CI of 0.641-0.834 and P<0.001. When the cutoff value was 11.5 points, the sensitivity was 84.82% and the specificity was 59.38%. Conclusions There is a significant negative correlation between IP and DE in SAP combined with ARDS patients, and both have certain predictive value for weaning outcomes.
ObjectiveTo evaluate clinical value of colon leakage score (CLS), a preoperative predictive scoring system, for risk of anastomotic leakage after left-sided colorectal cancer surgery. MethodsThe clinical data of 310 patients who underwent left-sided colorectal cancer surgery from January 2010 to December 2014 were studied retrospectively. Risk factors for postoperative anastomotic leakage were analyzed by univariate analysis. The sensitivity and specificity of CLS system were determined by receiver operating characteristic (ROC) curve analysis. Resultsa total of 14 patients were diagnosed as anastomotic leakage. The point of CLS for the patients with anastomotic leakage was significantly higher than that for the patients without anastomotic leakage (14.21±5.76 versus 4.43±3.36, t=9.474, P=0.000). The results of ROC curve analysis showed that the sensitivity and specificity of the CLS system were 92.9% and 88.6%, respectively. The area under the curve was 0.957 (95% CI 0.924-0.991). The best cut off value of CLS was 10 (The Youden index was 0.867). The results of univariate analysis showed that the age, preoperative hemoglobin level, status of intestinal obstruction, and blood loss were associated with postoperative anastomotic leakage (P<0.05). ConclusionThe preoperative predictive score system CLS could accurately predict occurrence of anastomotic leakage. While large, multicenter prospective randomized controlled trial is still needed to further confirm it.
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.
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.
ObjectiveTo explore the predictive value of preoperative serum heat shock protein 90α (HSP90α) level in combination with the prognostic nutritional index (PNI) for patients with hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE). MethodsThe HCC patients confirmed by histopathological examination and underwent TACE at Guigang People’s Hospital from January 2022 to June 2023 were as the observation group, the healthy individuals who underwent physical examinations during the same period and same hospital as the control group. The blood before treatment and on the day of the physical examination was collected to detected the HSP90α and albumin levels, as well as lymphocyte count. The PNI was calculated [PNI=albumin (g/L)+5×lymphocyte count (×109/L)]. The clinical outcome (tumor progression or death) was observed within one year after TACE treatment, those without tumor progression or death were defined as a good prognosis, while those with tumor progression or death were defined as a poor prognosis. Using the multivariate unconditional logistic regression analysis to identify the risk factors affecting the poor prognosis for HCC patients, and the receive operating characteristic (ROC) curve to evaluate the predictive value of serum HSP90α level in combination with PNI in distinguishing prognosis after TACE treatment.ResultsIn this study, there were 178 cases in the observation group and 100 cases in the control group. The serum HSP90α level (μg/L) in the observation group was higher than that in the control group (96.40±33.57 vs. 52.19±22.13, t=3.191, P<0.001), and the PNI value was lower than that in the control group (43.70±5.24 vs. 56.46±6.86, t=–16.144, P<0.001); Within one year after TACE treatment, there were 70 patients with poor prognosis and 108 patients with good prognosis. The serum HSP90α (μg/L) level in the patients with poor prognosis was higher than that in the patients with good prognosis (117.33±29.48 vs. 82.83±28.84, t=7.726, P<0.001), and the PNI was lower than that in the control group (40.49±4.18 vs. 45.78±4.80, t=–7.548, P<0.001). The multivariate unconditional logistic regression analysis found that the probabilities of incidence of poor prognosis after TACE treatment were higher in the patients with Chinese liver cancer staging Ⅲa–Ⅲb stage [reference: Ⅰ–Ⅱa stage, OR (95%CI)=5.332 (1.058, 26.875), P=0.043] and increased age and HSP90α level [OR (95%CI)=1.100 (1.025, 1.180), P=0.008; OR (95%CI)=1.049 (1.029, 1.070), P<0.001] , as well as decreased PNI value [OR (95%CI)=0.772 (0.686, 0.869), P<0.001]. The area under the ROC curve after TACE treatment in the HCC patients by serum HSP90α level in combination with PNI was 0.878 [95%CI=(0.820, 0.922)] in differentiating poor prognosis or not. ConclusionThe analysis results of this study suggest that preoperative serum HSP90α level in combination with PNI has a higher predictive value for prognosis of HCC patients after TACE treatment.
ObjectiveTo evaluate the predictive value of the diaphragm ultrasound for weaning from mechanical ventilation.MethodsThe patients who received mechanical ventilation in Fujian Provincial Hospital between February 2016 to December 2017 and met the criteria for a T-tube spontaneous breathing trial were included in the study. Then right diaphragmatic displacement (DD) and diaphragmatic thickening fraction (DTF) were evaluated using M-mode ultrasonography as well as the rapid shallow breathing index (RSBI, the ratio of respiratory rate to tidal volume). A new index was named as the diaphragmatic-RSBI (D-RSBI, the ratio of respiratory rate to DD). The patients were classified into a success group or a failure group according to the weaning outcomes. The receiver operating characteristic (ROC) curves were calculated to evaluate the predictive performance of each index.ResultsFifty-nine patients were weaned successfully and failure of weaning was found in 29 patients. There were no statistically significant differences in pre-weaning parameters including age, sex, systolic blood pressure, diastolic blood pressure, blood lipid index (total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride), or fast blood glucose between the weaning success group and the weaning failure group (P>0.05), but there were statistically significant differences in body mass index and acute physiology and chronic health condition Ⅱ score between two groups (P<0.05). DD [(13.44±3.23)mm vs. (10.28±2.82)mm, DTF [(32.43±12.35)% vs. (27.64±5.77)%, P<0.05] and D-RSBI [(1.49±0.47) breaths·min–1·mm–1 vs. (2.55±0.87) breaths·min–1·mm–1, P<0.05] differed significantly between the weaning success group and the weaning failure group. A cutoff of DTF≥27.9% yielded a sensitivity of 98.3%, a specificity of 62.1%, and an area under the ROC curve (AUC) of 0.873. A cutoff of D-RSBI≤1.73 breaths·min–1·mm–1 yielded a sensitivity of 76.3%, a specificity of 93.1%, and an AUC of 0.887. By comparison, when RSBI was ≤50.9 breaths·min–1·mm–1, there was a sensitivity of 91.5%, a specificity of 86.2%, and an AUC of 0.927. There was no statistically significant difference in AUC between D-RSBI and RSBI (P>0.05).ConclusionsDiaphragm ultrasound is feasible to predict the outcome of weaning. DTF and D-RSBI are as same accurate as the traditional RSBI in predicting the weaning outcome, but more objective and suitable for clinical application.
Objective To observe the correlation between homocysteine (Hcy) and serum uric acid (SUA) and retinopathy in type 2 diabetes mellitus (T2DM), preliminary study on its predictive value. MethodsA retrospective study. From January 2020 to March 2021, a total of 324 T2DM patients hospitalized in Department of Endocrinology, Cangzhou Central Hospital of Hebei Province were included. Fasting blood glucose (FBG), glycated hemoglobin (HbA1C), triglycerides (TG), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), serum creatinine (Scr), blood urea nitrogen (BUN), Hcy, SUA, peripheral blood endothelial progenitor cells (EPC), circulating endothelial cells (CEC) were counted and homeostasis model assessment for insulin resistance (HOMA-IR) was calculated. According to the absence or presence of diabetic retinopathy (DR), the patients were divided into non DR (NDR) group and DR group with 100 and 214 cases, respectively. Clinical data and laboratory biochemical indexes of the two groups were compared and observed. The logistic regression was used to analyze the independent risk factors for DR in T2DM patients. Smooth curve fitting was used to analyze the curve relationship between Hcy, SUA and DR, and ROC area (AUC) of Hcy, SUA; their combined prediction of DR in T2DM patients was calculated by receiver operating characteristic curve (ROC curve), and the predictive value of Hcy and SUA for DR in T2DM patients was evaluated. ResultsDiabetic course (t=5.380), systolic blood pressure (t=2.935), hypertension (χ2=10.248), diabetic nephropathy (χ2=9.515), diabetic peripheral neuropathy (χ2=24.501), FBG (t=3.945), HbA1C (t=3.336) and TG in DR Group (t=2.898), LDL-C (t=3.986), Scr (t=2.139), SUA (t=7.138), HOMA-IR (t=3.237), BUN (t=3.609), Hcy (t=2.363) and CEC (t=19.396) were significantly higher than those in NDR group. The difference was statistically significant (P＜0.05). EPC (t=9.563) and CPC (t=7.684) levels were significantly lower than those of NDR group, and the difference was statistically significant (P＜0.05). Logistic regression analysis showed that diabetes course, SBP, hypertension, FBG, HbA1C, LDL-C, SUA, Hcy, EPC, CPC and CEC were all independent risk factors for developing DR in T2DM patients (P＜0.05). The smooth curve fitting analysis showed that Hcy and SUA were positively correlated with the occurrence of DR. After adjusting for confounding factors, when Hcy≥15 μmol/L, the risk of DR Increased by 14% for every 1 μmol/L increase in Hcy [odds ratio (OR)=0.92, 95% confidence interval (CI) 0.88-0.98, P＜0.05]. When Hcy＜15 μmol/L, there was no significant difference (OR=0.96, 95%CI 0.92-1.08, P＞0.05). When SUA≥304 μmol/L, the risk of DR increased by 17%, every 20 μmol/L SUA increased (OR=0.80, 95%CI 0.68-0.94, P＜0.05). When SUA＜304 μmol/L, the difference was not statistically significant (OR=0.83, 95%CI 0.72-0.95, P＞0.05). ROC curve analysis results showed that the AUC values of Hcy, SUA and Hcy combined with SUA in predicting the occurrence of DR in T2DM patients were 0.775 (95%CI 0.713-0.837, P＜0.001), 0.757 (95%CI 0.680-0.834, P＜0.001) and 0.827 (95%CI 0.786-0.868, P＜0.001). Hcy combined with SUA showed better predictive efficiency. ConclusionsThe abnormal increase of Hcy and SUA levels in T2DM patients are closely related to the occurrence of DR, they are independent risk factors for the occurrence of DR. Hcy combined with SUA has high predictive value for the occurrence of DR.
Objective To explore the predictive value of transthoracic electrical impedance tomography (EIT) for outcome of weaning patients from mechanical ventilation. Methods Forty invasive mechanical ventilation adult patients who underwent spontaneous breathing test (SBT) from May 2022 to August 2022 were enrolled. The patients were divided into a successful weaning group (n=28) and a failed weaning group (n=12) based on whether invasive mechanical ventilation was required within 48 hours after weaning. EIT data were collected from both groups on the first day of mechanical ventilation, before SBT, 10 minutes after SBT, and 30 minutes after SBT. The EIT parameters were compared between two groups, including the absolute value of mean end expiratory lung impedance variation (Mean △EELI) to tidal volume ratio, percentage variation of local compliance change (|Δ(CW-CL)|), inflation time difference (TSA), standard deviation of regional ventilation delay (SDRVD), abdominal to back impedance ratio (IR), and rapid shallow breathing index (RSBI) calculated by EIT, at different time points of SBT, and the predictive value of each EIT parameter were evaluated for weaning. Results The parameters of SDRVD value, RSBIEIT value, and TSA value in the successful weaning group were significantly lower compared with the failed weaning group (P<0.05); during SBT process, the predictive value of the SDRVD for weaning was the highest compared with other EIT parameters (AUC=0.978, 95%CI 0.940-1.016; P<0.001). When the SDRVD value, less than 0.845, was as the critical value and the sensitivity was 0.917 and the specificity was 0.929; the RSBIEIT value for prediction weaning also was high (AUC=0.960, 95%CI 0.904-1.015; P<0.001). When RSBIEIT, less than 0.893, was used as the critical value, and its sensitivity and specificity was 1.000 and 0.893, respectively (P<0.05). The TSA value and |Δ(CW-CL)| predicted weaning value are relatively small, and further research is needed on whether IR and |Mean ∆EELI/VT| can guide weaning. Conclusions The EIT parameters SDRVD and RSBIEIT can effectively predict the weaning outcomes of mechanically ventilated adult patients and have good clinical application value.
ObjectiveTo observe and evaluate the predictive value of serum cystatin C (Cys-C) on the risk of sight-threatening diabetic retinopathy (STDR). MethodsA non-randomized controlled cross-sectional clinical study. Ninety-two patients with type 2 diabetes mellitus (T2DM) who were admitted to Department of Ophthalmology of Beijing Tsinghua Changgung Hospital from January 2022 to October 2022 were included in the study. Among them, 50 were male, 42 cases were female, with the mean age of (58.24±12.49) years. The mean duration of T2DM was (13.18±8.35) years, of which 38 cases had a duration of ≥10 years. Twenty-nine cases complicated with hypertension, of which 16 cases had a duration of ≥10 years. Seventeen cases complicated with chronic kidney disease stage 2 and 23 cases were treated with lipid-lowering drugs. Hemoglobin Alc, serum Cys-C, serum lipids and renal function were tested, and urinary microalbumin/creatinine ratio (ACR) was calculated. According to the 2003 American Academy of Ophthalmology "Clinical Guidelines for Diabetic Retinopathy (DR)" and international clinical DR severity grading standards, the patients were divided into STDR and non-STDR groups, with 44 and 48 cases in each group, respectively. STDR was defined as severe non-proliferative DR, proliferative DR, and macular edema. Logistic regression was used to analyze the independent risk factors of STDR in T2DM patients. Receiver operating characteristic curve (ROC curve) was used to calculate and analyze the area under ROC curve (AUC) and the predictive value of serum Cys-C and ACR in predicting STDR in T2DM patients. ResultsSerum Cys-C levels in STDR and non-STDR groups were 1.10 (0.94, 1.28) and 0.91 (0.83, 1.02) mg/L, respectively, with ACR of 4.29 (1.05, 21.89) and 1.39 (0.77, 3.80) mg/mmol, respectively. Compared with non-STDR group, serum Cys-C and ACR in STDR group were higher, and the difference was statistically significant (Z=－3.984, －3.280; P＜0.05). Multivariate logistic regression analysis showed that serum Cys-C was an independent risk factor for STDR (odds ratio=1.337, 95% confidence interval 1.145-2.090, P=0.033), and the risk of STDR increased by 33.7% for every 0.1 mg/L increase in serum Cys-C. ROC analysis results showed that serum Cys-C＞1.065 mg/L combined with ACR＞5.84 mg/mmol predicted the AUC of STDR in T2DM patients was 0.661, with the specificity of 95.8%. ConclusionsThe high serum Cys-C level is an independent risk factor for STDR in T2DM patients. Serum Cys-C has high predictive value for the occurrence of STDR.