Integrating UPLC-QTOF-MS/MS and UPLC-DAD to evaluate the influence of sulfur-fumigated Paeoniae Radix Alba on the overall quality of three Si-Wu-Tang formulations.

INTRODUCTION: Sulfur-fumigation of Paeoniae Radix Alba (PRA) could induce the chemical transformation of its bioactive component paeoniflorin into a sulfur-containing derivative paeoniflorin sulfite, and thus alter the quality, bioactivities, pharmacokinetics, and toxicities of PRA. However, how sulfur-fumigated PRA (S-PRA) affects the quality of PRA-containing complex preparations has not been intensively evaluated. OBJECTIVES: We intend to evaluate the influence of S-PRA on the overall quality of three kinds of Si-Wu-Tang (SWT) formulations, i.e., decoction (SWT-D), granule (SWT-G), and mixture (SWT-M). MATERIAL AND METHODS: An UPLC-DAD multi-components quantification method was used to compare the transfer rates of paeoniflorin sulfite and other 10 bioactive components between S-PRA-containing and NS-PRA-containing SWT formulations. An UPLC-QTOF-MS/MS-based target metabolomics approach was applied to explore the differential sulfur-containing derivatives in S-PRA-containing SWT formulations. RESULTS: The transfer rates of paeoniflorin sulfite in three S-PRA-containing SWT formulations were all higher than 100%. Moreover, S-PRA also increased the transfer rate of 5-hydroxymethylfurfural, 1,2,3,4,6-O-pentagalloylglucose, whereas decreased that of paeoniflorin, albiflorin, and ferulic acid in three SWT formulations. Six pinane monoterpene glucoside sulfites originally identified in S-PRA, were also detectable in three S-PRA-containing SWT formulations. In addition, seven phenolic acid sulfites including (3Z)-6-sulfite-ligustilide, (3E)-6-sulfite-ligustilide, 6,8-disulfite-ligustilide, ferulic acid sulfite, neochlorogenic acid sulfite, chlorogenic acid sulfite, and angelicide sulfite (or isomer) were newly identified in these three S-PRA-containing formulations. CONCLUSION: S-PRA could differentially affect the transfer rate of paeoniflorin sulfite and other bioactive components during the preparation of three SWT formulations and subsequently the overall quality thereof.

The efficacy of Da Chaihu decoction combined with metformin tablets for type 2 diabetes mellitus: A systematic review and meta-analysis.

OBJECTIVE: To assess the efficacy of Da Chaihu decoction combined with metformin tablets on patients with type 2 diabetes compared with metformin alone. METHODS: This systematic review and meta-analysis is written based on 2020 PRISMA Extension for Chinese Herbal Medicines 2020 (PRISMA-CHM 2020) reporting guidelines. We reviewed all the relevant studies from a search of the following databases from inception to February 2022 without any language restriction: Excerpta Medica Database (EMBASE), Google Scholar, PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Information, Wanfang Data, and the Chinese Biomedical Literature Database(CBM). Data were extracted and the quality was independently evaluated by two reviewers, based on the inclusion and exclusion criteria. Data were analyzed using the Cochrane software RevMan 5.3. RESULTS: Six randomized controlled trials comprising 516 participants were included. The meta-analysis revealed the Da Chaihu decoction combined with metformin tablets group was significantly superior to the metformin tablets group in terms of fasting blood glucose(FPG) (-0.66 mmol/L; 95 % CI (confidence intervals) [- 1.28, - 0.04]), plasma glucose 2 h after meal (2-h PG) (-1.18 mmol/L; 95 % CI [-1.94, -0.42]) in six RCTs, body mass index (BMI) (-3.07 mmol/L; 95 % CI [-6.89, 0.75]) in three RCTs, glycosylated hemoglobin (HbAlc) (-0.36 mmol/L; 95 % CI [-1.04, 0.31]) in three RCTs, and triglycerides (TG) (-0.76 mmol/L; 95 % CI [-1.37, -0.15]) in two RCTs. In two RCTs, there were significant differences in terms of total cholesterol (TC) (-0.97 mmol/L; 95 % CI [-1.18, -0.76]). CONCLUSIONS: Very low-quality research shows that Da Chaihu decoction combined with metformin tablets exert a certain level of efficacy on patients with type 2 diabetes compared with metformin alone. However, random sequence generation methodology was reported in five studies leading to the low quality of the included studies. None of the six studies depicted the blinding method, allocation concealment, selective reporting, and assessed the purity and potency of the product. This observation requires verification through high-quality, multi-center, double-blinded randomized controlled trials, and assesses the purity and potency of the product.

Risk factors for the development of early-onset delirium and the subsequent clinical outcome in mechanically ventilated patients.

OBJECTIVES: The aim of the study was to investigate the risk factors of developing early-onset delirium in mechanically ventilated patients and determine the subsequent clinical outcomes. METHODS: Confusion assessment method for the intensive care unit (ICU) was used to assess the enrolled mechanically ventilated patients for delirium. The risk factors of developing delirium and clinical outcomes were determined in these subjects. RESULTS: Delirium was present in 31 (21.7%) of 143 patients in the first 5 days. In multivariable analysis, hypoalbuminemia (odds ratio, 5.94; 95% confidence interval, 1.23-28.77) and sepsis (odds ratio, 3.65; 95% confidence interval, 1.03-12.9) increased the risk of developing delirium in mechanically ventilated patients. The patients with delirium had a higher in-hospital mortality (67.7% vs 33.9%, respectively; P = .001) and longer duration of mechanical ventilation (19.5 +/- 15.8 vs 9.3 +/- 8.8 days, respectively; P = .003) than patients without delirium. The incidence of nosocomial pneumonia was increased in delirious patients (64.5% vs 38.4%, P = .01) compared with nondelirious patients, whereas the lengths of ICU or hospital stay were similar between both groups. CONCLUSIONS: Mechanically ventilated patients with sepsis or hypoalbuminemia were more vulnerable to develop delirium in their early stay in the ICU. Early-onset delirium is associated with prolonged duration of mechanical ventilation and higher incidence of nosocomial pneumonia, leading to a higher mortality.

The impact of delirium on the survival of mechanically ventilated patients.

OBJECTIVES: To revalidate a means of assessing delirium in intensive care unit patients and to investigate the independent effect of delirium on the mortality of mechanically ventilated patients. DESIGN: A prospective cohort study. SETTING: A 37-bed medical intensive care unit of a tertiary care hospital. PATIENTS: Subjects were 102 of 131 consecutive mechanically ventilated patients. MEASUREMENTS: All the enrolled patients were assessed for delirium using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Mortality rate were compared between patients with or without delirium, and the predictors of death were investigated. RESULTS: The two CAM-ICU assessors' sensitivities in diagnosing delirium compared with reference standard were 91% and 95%, whereas their specificities were both 98%. They also demonstrated high interrater reliability with kappa statistics of 0.91. Delirium was present in 22 of 102 (22%) patients in the first 5 days. The delirious patients had higher intensive care unit mortality rate than nondelirious patients (63.6% vs. 32.5%, respectively), with a hazard ratio of 2.57 (95% confidence interval, 1.56-8.15). In multivariate analysis, delirium (odds ratio, 13.0; 95% confidence interval, 2.69-62.91), shock (odds ratio, 12.91; 95% confidence interval, 2.93-56.92), and illness severity (odds ratio, 9.61; 95% confidence interval, 2.24-41.18) were independent predictors of mortality. CONCLUSIONS: This study confirms previous work showing that delirium is an independent predictor for increased mortality among mechanically ventilated patients.