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.
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.
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.
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.