Management of cognitive frailty: A network meta-analysis of randomized controlled trials.

OBJECTIVES: We aimed to compare the effectiveness of interventions in cognitive function and frailty status and rank these interventions. METHODS: Data Sources-We searched PubMed, Embase, CINAHL, PsycINFO, Web of Science, Cochrane Library, Central Register of Controlled Trials (CENTRAL), CNKI, Wanfang, VIP and Google scholar. Data synthesis-The risk of bias was assessed using the Cochrane risk bias assessment tool. Statistical heterogeneity was assessed using the Chi-square test and quantified by I2 . The results were pooled using the standardized mean difference (SMD). The rank probability for each intervention was calculated using the surface under the cumulative ranking curve (SUCRA). Additionally, the quality of the evidence was evaluated using the GRADE approach. RESULTS: A total of 10 randomized controlled trials (RCTs) involving 1110 patients were included in our analysis. The network map of cognitive function comprised 9 RCTs with 1347 participants, examining eight different interventions. Nutritional support (SUCRA = 99.9%, SMD = 3.02, 95% CI: 2.53, 3.51) may be the most effective intervention to improve cognitive function. The network map of frailty (including 9 RCTs with 1017 participants and 9 interventions) suggested that multicomponent exercises (SUCRA = 96.4%, SMD = -5.10, 95% CI: -5.96, -4.23) tended to have a greater effect. CONCLUSIONS: Community-based multicomponent exercises have shown significant benefits for improving cognitive function and frailty status in older adults, with moderate certainty. For hospitalized older patients with Cognitive frailty (CF), current evidence suggests that nutritional support yields the most improvement. Additionally, aerobic exercise and dual-task training have proven effective in managing CF. Further studies are needed to validate these preliminary findings and exploring more accessible and effective physical and cognitive interventions to prevent CF in aging.

Risk factors for the colonization or infection of carbapenem-resistant Enterobacteriaceae in children: a Meta analysis. / å„¿ç«¥è€ç¢³é’éœ‰çƒ¯ç±»è‚ æ†èŒå®šæ¤æˆ–æ„ŸæŸ“å±é™©å› ç´ çš„Meta分析.

OBJECTIVES: To systematically assess the risk factors for the colonization or infection of carbapenem-resistant Enterobacteriaceae in children. METHODS: PubMed, Web of Science, China National Knowledge Infrastructure Database, Wanfang Data, China Biology Medicine disc were searched to obtain the articles on risk factors for the colonization or infection of carbapenem-resistant Enterobacteriaceae in children published up to May 31, 2021. RevMan 5.3 software was used to perform the Meta analysis. RESULTS: A total of 13 articles were included, with 1 501 samples in total. The Meta analysis showed that indwelling gastric tube (OR=4.91), tracheal intubation (OR=5.03), central venous catheterization (OR=3.75), indwelling urinary catheterization (OR=4.11), mechanical ventilation (OR=3.09), history of hospitalization in the intensive care unit (OR=2.39), history of surgical operation (OR=3.22), previous use of third-generation cephalosporins (OR=2.62), previous use of carbapenem antibiotics (OR=3.82), previous use of glycopeptide antibiotics (OR=3.48), previous use of ß-lactamase inhibitors (OR=2.87), previous use of antifungal drugs (OR=2.48), previous use of aminoglycoside antibiotics (OR=2.54), and Apgar score ≤7 at 1 minute after birth (OR=2.10) were risk factors for the colonization or infection of carbapenem-resistant Enterobacteriaceae in children (P<0.05). CONCLUSIONS: Invasive operations, history of hospitalization in the intensive care unit, previous use of antibiotics such as carbapenem antibiotics, and Apgar score ≤7 at 1 minute after birth are risk factors for the colonization or infection of carbapenem-resistant Enterobacteriaceae in children.

Association of the levels of heavy metals and trace elements during pregnancy with congenital heart defects in offspring: a prospective cohort study. / å­•æœŸé‡é‡‘å±žå ƒç´ å’Œå¾®é‡å ƒç´ æ°´å¹³ä¸Žå­ä»£å ˆå¤©æ€§å¿ƒè„ç— ç›¸å ³æ€§çš„å‰çž»æ€§é˜Ÿåˆ—ç ”ç©¶.

OBJECTIVES: To study the association of the levels of heavy metals and trace elements during pregnancy with congenital heart defects (CHD) in offspring, and to establish a model for predicting the probability of CHD based on the levels of heavy metals and trace elements during pregnancy. METHODS: Based on the prospective birth cohort study in Gansu Provincial Maternal and Child Health Hospital in 2010-2012, a nested case-control study was conducted for the follow-up observation of 14 359 pregnant women. Among the pregnant women, 97 pregnant women whose offspring were diagnosed with CHD during follow-up were enrolled as the CHD group, and 194 pregnant women whose offspring had no CHD were selected as the control group. Inductively coupled plasma mass spectrometry was used to measure the levels of heavy metals and trace elements in maternal blood samples and fetal umbilical cord blood samples. A multivariate logistic regression analysis was used to evaluate the association between heavy metal and trace elements and CHD in offspring. A nomogram model for predicting the probability of CHD in offspring was established based on the levels of heavy metals and trace elements during pregnancy. RESULTS: Compared with the control group, the CHD group had significantly higher levels of aluminum (Al), natrium (Na), calcium (Ca), titanium (Ti), selenium (Se), strontium (Sr), stannum (Sn), stibium (Sb), barium (Ba), and thorium (Th) in maternal blood samples (P<0.05), as well as significantly higher levels of Al, zinc (Zn), magnesium (Mg), kalium (K), Ca, Ti, chromium (Cr), copper (Cu), arsenic (As), Se, Sr, argentum (Ag), cadmium (Cd), Sn, and plumbum (Pb) in umbilical cord blood (P<0.05). The multivariate logistic regression analysis showed that the increase in the Sb level in maternal blood was associated with the increase in the risk of CHD in offspring [adjusted odds ratio (aOR)=4.81, 95% confidence interval (CI): 1.65-14.07, P=0.004], while in umbilical cord blood, the high levels of Al (aOR=4.22, 95%CI: 1.35-13.16, P=0.013), Mg (aOR=8.00, 95%CI: 1.52-42.08, P=0.014), and Pb (aOR=3.82, 95%CI: 0.96-15.23, P=0.049) were significantly associated with the risk of CHD in offspring. The levels of Al, Th, and Sb in maternal blood and levels of Al, Mg, and Pb in umbilical cord blood were included in the predictive model for CHD in offspring based on the levels of heavy metals and trace elements during pregnancy, and the calibration curve of the nomogram predictive model was close to the ideal curve. CONCLUSIONS: Increases in the levels of Al, Th, Sb, Mg, and Pb during pregnancy may indicate the increase in the risk of CHD in offspring, and the nomogram predictive model based on these indices can be used to predict the probability of CHD in offspring.

[Study on early screening of high saponin ginseng lines].

The study aims at screening the specific bands by PCR, quickly and accurately evaluating the quality of ginseng seeding, accelerating the process of ginseng breeding. Based on the correlation of genetic differences and saponin content between individuals, a pair of specific primer GC1 was screened by PCR. According to the experiment by L16 (45) orthogonal test, a PCR system most suitable for GC1 was established, which came out total 25 µL reaction system containing DNA 2.60 mg•L⁻¹, Mg²âº 1.44 mmol•L⁻¹, dNTP 0.19 mmol•L⁻¹, primer 0.32 µmol•L⁻¹ and Taq enzyme concentration 0.076 U•µL⁻¹. By comparing the saponin content and the GC1 PCR electrophoretogram of samples, the ginseng, with 1 200 bp specific band by PCR of GC1, the contents of 9 monosodium saponins and their additions were higher than others, which provided a reliable method for accelerating the process of ginseng breeding. The sequence was sequenced and 99% homologous to glycerol-3-phosphate dehydrogenase.

Spectral discrimination between normal and leukemic human sera using delayed luminescence.

In this work, photoinduced delayed luminescence (DL) was used to distinguish serum samples of patients with acute lymphoblastic leukemia from those of healthy volunteers. DL decay kinetics of human serum samples was measured using a homebuilt ultraweak luminescence detection system. It was found a significant difference in the weight distribution of the decay rate between normal and leukemic serum samples. A comparison of the DL kinetics parameters including the initial intensity, the peak decay rate, and the peak weight value was used in making discrimination between normal and leukemic human sera. Results in this work contribute to the development of a novel optical method for the early diagnosis of leukemia.