Therapeutics and Clinical Risk Management最新文献

Purpose: Although brain metastasis (BM) from gastric cancer (GC) is relatively uncommon, its incidence has been increasing owing to advancements in treatment modalities. Unfortunately, patients diagnosed with BM from gastric cancer have poor life expectancy. Our study aims to establish a predictive model for brain metastasis in advanced gastric cancer patients, thus enabling the timely diagnosis of brain metastasis.

Patients and methods: The clinicopathological features of a cohort which included 40 GC patients with brain metastasis, 32 of whom from the First Affiliated Hospital of Nanchang University, 2 from Gaoxin Branch of the First Affiliated Hospital of Nanchang University, remaining 6 from Anyang District Hospital, and 80 non-metastatic advanced GC patients from the First Affiliated Hospital of Nanchang University between 2018 and 2022. Data were retrospectively analyzed.

Results: Age, tumor size, differentiation, lymph node grade, tumor location, Lauren classification, liver metastasis, carbohydrate antigen 199 (CA199), lactate dehydrogenase (LDH), and human epidermal growth factor receptor 2 (Her-2) were associated with BM. A nomogram integrated with nine risk factors (tumor size, differentiation, lymph node grade, tumor location, Lauren classification, liver metastasis, CA-199, LDH, and Her-2) showed good performance (Area Under Curve 0.95, 95% CI: 0.91-0.98).

Conclusion: We developed and validated a nomogram that achieved individualized prediction of the possibility of BM from GC. This model enables personalized imaging review schedules for timely brain metastasis detection in advanced gastric cancer patients.

Background: Incorporating unfamiliar therapies into practice requires effective longitudinal learning and the optimal way to achieve this is debated. Though not a novel therapy, ketamine in critical care has a paucity of data and variable acceptance, with limited research describing intensivist perceptions and utilization. The Coronavirus-19 pandemic presented a particular crisis where providers rapidly adapted analgosedation strategies to achieve prolonged, deep sedation due to a surge of severe acute respiratory distress syndrome (ARDS).

Question: How does clinical experience with ketamine impact the perception and attitude of clinicians toward this therapy?

Methods: We conducted a mixed-methods study using quantitative ketamine prescription data and qualitative focus group data. We analyzed prescription patterns of ketamine in a tertiary academic ICU during two different time points: pre-COVID-19 (March 1-June 30, 2019) and during the COVID-19 surge (March 1-June 30, 2020). Two focus groups (FG) of critical care attendings were held, and data were analyzed using the Framework Method for content analysis.

Results: Four-hundred forty-six medical ICU patients were mechanically ventilated (195 pre-COVID-19 and 251 during COVID-19). The COVID-19 population was more likely to receive ketamine (81[32.3%] vs 4 [2.1%], p < 0.001). Thirteen respondents participated across two FG sessions (Pre-COVID = 8, Post-COVID=5). The most prevalent attitude among our respondents was discomfort, with three key themes identified as follows: 1) lack of evidence regarding ketamine, 2) lack of personal experience, and 3) desire for more education and protocols.

Conclusion: Despite a substantial increase in ketamine prescription during COVID-19, intensivists continued to feel discomfort with utilization. Factors contributing to this discomfort include a lack of evidence, a lack of experience, and a desire for more education and protocols. Increase in experience with ketamine alone was not sufficient to minimize provider discomfort. These findings should inform future curricula and call for process improvement to optimize continuing education.

Introduction: The management of patients with COVID-19 infection has placed great pressure on the healthcare systems around the world. The aim of this study was to investigate the impact of the COVID-19 pandemic on the treatment outcomes of patients with rectal cancer by comparing them to those of patients with the same diagnosis in the pre-pandemic period.

Methods: Retrospective data analysis of patients undergoing multimodal treatment for rectal cancer at the four university hospitals during the COVID-19 pandemic (2020-2021) and the 2-year pre-pandemic period (2018-2019).

Results: A total of 693 patients (319 in the pre-pandemic period and 374 in the pandemic period) with rectal cancer were included in the study. The demographic and clinical characteristics of patients in both study periods were comparable, as was the spectrum of surgical procedures. Palliative surgery was more common in the pandemic period (18% vs 13%, p=0.084). The proportion of patients undergoing minimally invasive surgery was higher during the COVID-19 pandemic (p=0.025). There were no statistically significant differences between the study periods in the incidence/severity of post-operative complications, 30-day mortality and length of hospital stay. The number of positive resection margins was similar (5% vs 5%). Based on these results, COVID-19 had no effect on the postoperative morbidity and mortality in patients undergoing surgery for rectal cancer. Neoadjuvant treatment was more common in the pre-pandemic period (50% vs 45%). Long-course RT was predominantly offered in the pre-pandemic period, short-course RT during the pandemic. Significantly shorter "diagnosis-surgery" intervals were observed during the pandemic (23 days vs 33 days, p=0.0002). The "surgery-adjuvant therapy" interval was similar in both analysed study periods (p=0.219).

Conclusion: Our study showed, that despite concerns about the COVID-19 pandemic, multimodal treatment of rectal cancer was associated with unchanged postoperative morbidity rates, increased frequency of short-course neoadjuvant RT administration and shorter "diagnosis-surgery" intervals.

Background: Stanniocalcin-1 (STC1) may harbor anti-inflammatory and anti-oxidative properties, thereby exerting neuroprotective effects. This study was done with the intent to determine the role of serum STC1 in severity assessment and prognosis prediction of severe traumatic brain injury (sTBI).

Methods: In this prospective longitudinal cohort study of 104 sTBI patients and 104 healthy individuals (controls), serum STC1 levels were quantified. Severity indicators were Glasgow Coma Scale (GCS) and Rotterdam computed tomography classification. Follow-up time was 180 days and extended Glasgow outcome scale (GOSE) score 1-4 was deemed as poor prognosis. Multivariate analyses were applied to assess severity correlations and prognosis associations. Discriminative efficiencies were estimated in terms of area under receiver operating characteristic curve (AUC).

Results: Patients exhibited significantly higher serum STC1 levels than controls. Serum STC1 levels were substantially elevated in order of GCS scores from 8 to 3, Rotterdam scores from 3 to 6 and 180-day GOSE scores from 8 to 1. Also, serum STC1 levels were independently correlated with GCS scores, Rotterdam scores and 180-day GOSE scores. Serum STC1 levels were independently associated with 180-day death, overall survival and poor prognosis, as well as were efficiently predictive of death and poor prognosis. Prediction model containing GCS scores, Rotterdam scores and serum STC1 levels, as opposed to any of them, showed higher discriminative ability for the risks of death and poor prognosis. Alternatively, serum STC1 levels were linearly correlated with risk of death, overall survival and poor prognosis under restricted cubic spline. Subgroup analysis showed that serum STC1 levels non-statistically significantly interacted with age, gender, hypertension, diabetes mellitus, etc.

Conclusion: A significant elevation of serum STC1 levels is highly related to severity and clinical outcome, suggesting that serum STC1 may be a potential prognostic biomarker of sTBI.

Purpose: To evaluate the effect of vidian neurectomy (VN) on the ocular surface and the possibility of dry eye in the treatment of allergic rhinitis.

Methods: Twelve participants were recruited in this prospective study. Prior to and after 1 and 6 months of VN, an ocular surface disease index (OSDI) questionnaire was obtained, and the Schirmer's tear test (STT), break-up time (BUT), corneal fluorescence staining (CFS) score, and Keratograph 5M were used to evaluate the ocular surface condition.

Results: Two patients (16.67%) met the dry eye diagnosis criteria one month after surgery; however, their symptoms were relieved after to 3-4 months and none of them met the diagnostic criteria for dry eye after six months. Compared with the baseline values, the STT was significantly reduced (P=0.002), while the tear meniscus height (TMH) (P=0.262), break-up time (BUT) (P=0.916), first keratographic tear film break-up time (NK-BUT_first) (P=0.791), and average keratographic break-up time (NK-BUT_ave) (P=0.970) did not change significantly 6 months after surgery. The degree of STT decreased from baseline to 6-month and was related to the basic STT (ρ= 0.837, P=0.001) and sex (ρ= -0.584, P= 0.026) but not to age, OSDI score, BUT, NK-BUT_first, NK-BUT_ave or CFS (all P>0.05). Among these factors, STT at baseline was confirmed to be a predictor of a decline in tear secretion after surgery (B = 0.731, P<0.001).

Conclusion: In this 6-month prospective pilot study, decreased tearing was observed after VN, but this decrease did not increase the possibility of dry eyes.