[ABSTRACT]AIM:ToinvestigatetheroleoftinyantisensenucleicacidagainstmiR-155(tinyantimiR-155, t-antimiR-155) in multiple myeloma cells .METHODS:According to the seed sequence of miR-155, t-antimiR-155 was designed and synthesized .t-antimiR-155 was transfected by Lipofectamine TM 2000 into RPMI-8266 cells.The cells were di-vided into t-antimiR-155 group, scrambled control (SCR) group and blank control group .The growth-inhibitory potencies were measured by MTT assay .The ability of cell colony formation was detected by cell colony formation assay .The cell ap-optosis was assessed by flow cytometry with annexin V /PI double staining .RESULTS: The best concentration and time were 0.4 μmol/L and 48 h, respectively.The cell colony forming experiment showed that the circumstances of forming cell community in t-antimiR-155 group was weaker than that in SCR group , and the colony formation inhibitory rate of former was significant higher than the latter .Compared with SCR group , the cell apoptosis in t-antimiR-155 group significantly in-creased.CONCLUSION: The t-antimiR-155 inhibits the progression of multiple myeloma cells by interfering with miR-155.miR-155 may serve as a potential target in gene therapy for treating multiple myeloma .

Objective: To investigate the effect of circadian heart rate variation on short-term and long-term mortality in intensive care unit (ICU) patients. Methods: A retrospective cohort study was conducted. A total of 32 536 ICU patients were recorded from 2001 to 2008 published by Multiparameter Intelligent Monitoring in Intensive Care Ⅱ (MIMIC-Ⅱ v2.6) in April 2011. The circadian heart rate variation was defined as the ratio of mean nighttime (23:00 to 07:00) heart rate to mean daytime (07:00 to 23:00) heart rate. The 28-day mortality and 1-year mortality were defined as outcome events. The information such as age, gender, ethnicity, first sequential organ failure assessment (SOFA) score, first simplified acute physiology score Ⅰ (SAPSⅠ), usage of sedatives and catecholamines within 24 hours admission of ICU, clinical complications [hypertension, chronic obstructive pulmonary disease (COPD), diabetes with or without complications, congestive heart failure, liver disease, renal failure, etc.], and the complete heart rate records within 24 hours after ICU admission were collected. Cox proportional risk regression models were used to investigate the association between circadian heart rate variation and 28-day mortality and 1-year mortality in ICU patients. Besides, subgroup analysis was also performed in patients with different first SOFA scores. Results: Totally 15 382 ICU patients in MIMIC-Ⅱ database were enrolled, excluding the patients without heart rate records or death records, using pacemaker with arrhythmia, without SOFA or SAPSⅠ score records. Finally, 9 439 patients were enrolled in the study cohort. ① Cox regression analysis of the whole patient showed that the higher circadian heart rate variation was correlated with the increased 28-day mortality [hazard ratio (HR) = 1.613, 95% confidence interval (95%CI) was 1.338-1.943, P < 0.001] and 1-year mortality (HR = 1.573, 95%CI was 1.296-1.908, P < 0.001). After adjustment for demographic factors (age, gender and ethnicity), severity of illness (SOFA and SAPS Ⅰ scores), clinical complications (hypertension, COPD, diabetes with or without complications, congestive heart failure, liver disease, renal failure, etc.), and influence of medications (sedatives and catecholamines), the night-day heart rate ratio was also correlated with 28-day mortality (HR = 1.256, 95%CI was 1.018-1.549, P = 0.033) and 1-year mortality (HR = 1.249, 95%CI was 1.010-1.545, P = 0.040). ② According to the SOFA score (median value of 5), the patients were divided into two subgroups, in which 5 478 patients with SOFA score ≤ 5 and 3 961 patients with SOFA score > 5. Cox regression subgroup analysis showed that circadian heart rate variation was related with higher 28-day mortality (HR = 1.430, 95%CI was 1.164-1.756, P = 0.001) and 1-year mortality (HR = 1.393, 95%CI was 1.123-1.729, P = 0.003) in patients with SOFA score > 5. After adjustment for covariates, the 28-day mortality (HR = 1.279, 95%CI was 1.032-1.584, P = 0.025) and 1-year mortality (HR = 1.255, 95%CI was 1.010-1.558, P = 0.040) also increased with the increasing of night-day heart rate ratio in patients with SOFA score > 5. However, the relationships did not exist in patients with SOFA score ≤ 5. Conclusion In ICU patients, the 28-day mortality and 1-year mortality increase with the higher circadian heart rate variation, which indicates that the circadian heart rate variation in ICU patients is positively correlated with the short-term and long-term mortality, especially in patients with relatively severe illness.

Objective:To analyze the mortality of accidental falls among the elderly in China from 2004 to 2019 and predict the standardized mortality from 2020 to 2024, so as to provide scientific evidence for formulating strategies to prevent accidental falls among the elderly.Methods:The death data of accidental falls of the elderly in China from 2004 to 2019 were collected from the China Death Cause Monitoring Data Set, and the total number of deaths, mortality rate and standardized mortality rate in the elderly from 2004 to 2019 and those data among them of different genders, residences and age groups were calculated. Joinpoint 4.8.0.1 statistical software was used to calculate the annual percent change (APC) and average annual percent change (AAPC) of standardized mortality. The Autoregressive Integrated Moving Average Model (ARIMA) was used to predict the standardized mortality rate of accidental falls among the elderly in China from 2020 to 2024. Results:The number of deaths related to accidental falls among the elderly in China was increased from 2 908 in 2004 to 23 709 in 2019. The mortality rate was increased from 51.89/100 000 in 2004 to 67.74/100 000 in 2019. The standardized mortality rate of accidental falls showed an overall upward trend from 2004 to 2019 (AAPC=1.65, P>0.05), including an upward trend from 2004 to 2010 (APC=1.66, P>0.05), a downward trend from 2010 to 2013 (APC=-9.67, P>0.05), and another upward trend from 2013 to 2019 (APC=7.83, P<0.01). The number of death and mortality rate related to accidental falls in Chinese elderly males and females both showed upward trends from 2004 to 2019, and the standardized mortality rate also showed upward trends from 2004 to 2019 (AAPC males=2.19, AAPC females=0.29, all P>0.05). The standardized mortality rate in males was generally higher than that in females, with that of males showing an upward trend from 2013 to 2019 (APC=7.36, P<0.05) and that of female showing an upward trend from 2014 to2019 (APC=6.92, P>0.05). The number of deaths and mortality rate among the elderly living in rural and urban areas both showed upward trends from 2004 to 2019, and the standardized mortality rate also showed an upward trend from 2004 to 2019 (AAPC rural = 1.71, AAPC urban =1.00, all P>0.05). The standardized mortality rate among the elderly living in rural areas was generally higher than that in urban areas. The rural and urban elderly both showed upward trends from 2013 to 2019 (APC rural = 8.24, APC urban =6.11, all P<0.05). The number of death and mortality rate of different age groups all showed upward trends from 2004 to 2019. The standardized mortality rates of the elderly aged 65-74 years and ≥85 years also showed upward trends from 2004 to 2019 (AAPC 65-74 years=0.38, AAPC ≥ 85 years=4.09, all P>0.05). The standardized mortality rate of the elderly aged 75-84 years showed a downward trend from 2004 to 2019 (AAPC=-0.10, P>0.05), and that of the elderly aged 65-74 years showed an upward trend from 2010 to 2019 (APC=5.35, P<0.05). The standardized mortality rate of the elderly aged 75-84 years and ≥85 years showed upward trends from 2013 to 2019 (APC 75-84 years=6.49, APC ≥ 85 years=10.47, all P<0.05). The ARIMA prediction results showed that the overall standardized mortality rates of accidental falls in the elderly in China from 2020 to 2024 were 69.11/100 000, 72.33/100 000, 74.41/100 000, 76.34/100 000, and 76.48/100 000, respectively, showing a slow upward trend. Conclusions:The accidental fall-related mortality among the elderly in China showed an overall upward trend from 2004 to 2019, and the standardized mortality rate from 2020 to 2024 also shows an upward trend. The elderly who are male in gender, live in rural areas, or at age of ≥85 years are the key population for prevention and control of accidental fall. Active and effective measures should be taken to reduce accidental falls in the elderly so as to contribute to active and healthy aging.

【Objective】 To investigate the relationship between the level of thrombin-antithrombin complex (TAT)/α2-plasmin inhibitor-plasmin complex (PIC) and the utilization rate of mechanical ventilation (MV) in critically ill patients. 【Methods】 For the cross-sectional study, adult patients who had been admitted to the intensive care unit (ICU) for one day or longer and had a record of the first four tests for thrombosis were enrolled. Age, gender, the results of TAT and PIC, disseminated intravascular coagulation score, treatment, and diagnostic information were retrospectively collected from the hospital information system and laboratory information system. Logistic regression model was used to explore the relationship between TAT/PIC and the MV utilization rate. Interaction analysis and subgroup analysis were conducted to explore whether there was any difference between patients with different age and gender, patients with/without DIC, and with/without infection. 【Results】 A total of 1 176 patients were enrolled in this study. The median of the first TAT/PIC was 15.84 (8.13-33.11) in all the patients. The multivariable Logistic regression model results showed that for every 5 increase in TAT/PIC, the possibility of using MV increased by 2.9% (OR=1.029, 95% CI: 1.008-1.050), and the possibility of using MV in Q3 patients was 1.566 times than that in Q1 patients (OR=1.566, 95% CI: 1.095-2.239); the possibility of using MV in Q4 patients was 2.457 times than that in Q1 patients (OR=2.457, 95% CI: 1.694-3.563). Interaction results showed that the relationship between the level of TAT/PIC and MV usage was different in patients with and without infection (Pinteraction=0.02). Further subgroup analysis showed that in the infected patients (674 cases), the possibility of using MV increased by 5.9% for every 5 increase in TAT/PIC (OR=1.059, 95% CI: 1.022-1.097, P=0.001), while there was no significant difference between different TAT/PIC and MV usage in non-infected patients (502 cases) (OR=1.012, 95% CI: 0.984-1.040, P=0.405). 【Conclusion】 There is a correlation between the level of TAT/PIC and mechanical ventilation in patients with infection in the ICU.