Objective To explore the predictive value of simplified acute physiological score Ⅱ (SAPS-Ⅱ) combined with lactate clearance rates (LCR) at different moments for mortality in sepsis patients. Methods A total of 188 patients with sepsis admitted in the hospital from April 2020 to February 2023 were selected, who were evaluated using the SAPS-Ⅱ scale. Spectrophotometry was used to detect blood lactate at baseline, after 6h, 12h, 24h, and 48h, then the LCR after 6h, 12h, 24h, and 48h were calculated. The patients were divided into a survival group (n=139) and a death group (n=37) based on 28 day outcome. Logistic regression analysis was used to explore the risk factors of sepsis death, and the efficacy of SAPS-Ⅱ scores combined with LCR at different moments in predicting patient death was analyzed using receiver operating characteristic (ROC) curve. Results Twelve patients fell off, and 37 died in the remaining 176 patients, the mortality rate was 21.02%. The age, temperature, random blood glucose, blood urea nitrogen, serum creatinine, and SAPS- Ⅱ scores in the death group were significantly higher than those in the survival group (P<0.05), while platelet count and LCR at all moments were significantly lower than those in the survival group (P<0.05). The LCR of the death group continued to decrease with time. The trend of changes in the survival group were opposite, and the differences in the two groups between each two moments were statistically significant (P<0.05). The SAPS-Ⅱ scores and LCR at all moments were risk factors for patient death (P<0.05). The SAPS-Ⅱ score and LCR at all moments had predictive value for patient death, and the area under ROC curve of the combined prediction was 0.921 (95%CI 0.825 - 1.000), which was higher than the individual prediction and LCR at each moment combined with SAPS II score prediction (P<0.05). Conclusion The SAPS-Ⅱ scores and LCR at different moments are all related to death of sepsis patients, and the combined prediction of death by the above indicators is highly effective.
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.