High-field magnetic resonance imaging (MRI), typically referring to systems with a magnetic field strength of ≥ 3 Tesla (T), offers significant advantages over conventional MRI in terms of higher signal-to-noise ratio (SNR) and improved resolution. These advantages have opened new prospects for the assessment of kidney diseases. This review summarizes the application progress of high-field MRI in evaluating kidney diseases, focusing on advanced techniques for refined assessment of renal anatomy and function, including arterial spin labeling (ASL) perfusion imaging, blood-oxygen-level-dependent (BOLD) oxygenation imaging, sodium (23Na) imaging, and quantitative evaluation of renal fibrosis. Furthermore, the review explores the value of high-field MRI in the diagnosis of renal tumors and kidney stones, tumor characterization, and its role in supporting treatments such as percutaneous nephrolithotomy (PCNL). Specifically, high-field MRI provides new approaches for early diagnosis and accurate staging of renal tumors, as well as radiation-free detection, composition analysis, and preoperative planning for PCNL in kidney stones. Finally, the review discusses current technical challenges, practical issues such as equipment accessibility, and future development directions. High-field MRI is emerging as a powerful non-invasive tool, providing crucial support for improving the diagnosis, management, and research of kidney diseases.

Objective:To investigate the accuracy of resting energy expenditure(REE)prediction formulas and to develop a new REE prediction formula suitable for hospitalized older adults.Methods:Older adults hospitalized in the Department of Geriatrics from October 1, 2022, to November 31, 2022, were included in the study.The predicted values of REE(pREE)were estimated using 13 commonly employed formulas that incorporate parameters related to resting energy expenditure, such as gender, age, body mass index(BMI), and body weight.Indirect calorimetry measurements(mREE)served as the gold standard for comparison.Group differences between pREE and mREE, the coefficient of concordance( ICC), and accuracy(defined as±10% of the mREE values)were utilized to evaluate the performance of the formulas.The ten-fold cross-validation method was employed to identify valid variables and to construct a new prediction formula.The performance of this new formula was compared to mREE, the Harris-Benedict formula, the European Society of Clinical Nutrition and Metabolism(ESPEN)formula, and the Chinese Society of Clinical Nutrition and Metabolism(CSPEN)formula. Results:A total of 223 hospitalized participants aged 60 to 98 years(mean age 79.5±8.2 years)were included in the study.Among these participants, 49.3%(110 cases)were male, and the prevalence of frailty was approximately 84.3%(188 cases).The median difference between pREE and mREE ranged from 9.1 to 232.1 kcal/d.The predictions from the Harris-Benedict, ESPEN, and CSPEN equations differed significantly from mREE(all P<0.05), with respective accuracies of 30.9%, 31.4%, and 24.7%.A new equation was developed: pREE=794.847+ 8.661×body weight -7.976 × age+ 14.757 ×grip strength+ 5.037 × heart rate, with an ICC of 0.6(95% CI: 0.5-0.7), and the accuracy reached 56.3%. Conclusions:Existing equations demonstrate low accuracy in predicting REE among hospitalized older adults.The newly developed equation shows improved performance compared to previous models and can serve as a reference method for predicting REE in this demographic.

Objective:To investigate the accuracy of resting energy expenditure(REE)prediction formulas and to develop a new REE prediction formula suitable for hospitalized older adults.Methods:Older adults hospitalized in the Department of Geriatrics from October 1, 2022, to November 31, 2022, were included in the study.The predicted values of REE(pREE)were estimated using 13 commonly employed formulas that incorporate parameters related to resting energy expenditure, such as gender, age, body mass index(BMI), and body weight.Indirect calorimetry measurements(mREE)served as the gold standard for comparison.Group differences between pREE and mREE, the coefficient of concordance( ICC), and accuracy(defined as±10% of the mREE values)were utilized to evaluate the performance of the formulas.The ten-fold cross-validation method was employed to identify valid variables and to construct a new prediction formula.The performance of this new formula was compared to mREE, the Harris-Benedict formula, the European Society of Clinical Nutrition and Metabolism(ESPEN)formula, and the Chinese Society of Clinical Nutrition and Metabolism(CSPEN)formula. Results:A total of 223 hospitalized participants aged 60 to 98 years(mean age 79.5±8.2 years)were included in the study.Among these participants, 49.3%(110 cases)were male, and the prevalence of frailty was approximately 84.3%(188 cases).The median difference between pREE and mREE ranged from 9.1 to 232.1 kcal/d.The predictions from the Harris-Benedict, ESPEN, and CSPEN equations differed significantly from mREE(all P<0.05), with respective accuracies of 30.9%, 31.4%, and 24.7%.A new equation was developed: pREE=794.847+ 8.661×body weight -7.976 × age+ 14.757 ×grip strength+ 5.037 × heart rate, with an ICC of 0.6(95% CI: 0.5-0.7), and the accuracy reached 56.3%. Conclusions:Existing equations demonstrate low accuracy in predicting REE among hospitalized older adults.The newly developed equation shows improved performance compared to previous models and can serve as a reference method for predicting REE in this demographic.

Objective: To explore the utility of pharyngeal pH monitoring which positive standard is Ryan index in diagnosis of laryngopharyngeal reflux disease. Methods: In a retrospective study, clinical data of 590 patients who had symptoms laryngopharyngeal reflux disease from February 2016 to March 2017 were analyzed. All patients were received electronic laryngoscopy, assessment of reflux symptom index(RSI) and reflux finding score(RFS), and pharyngeal pH monitoring. SPSS 19.0 software was used to analyze the date. Results: There were 94 patients whose Ryan index were positive(15.93%). Among the 94 patients, 70 were positive during upright, 12 during supine and 12 during both upright and supine. There were 40 patients(6.78%)with pH decline events related to symptoms, while those Ryan index were normal. There were 536(90.85%), 417(70.68%), 233(39.49%) and 117(19.83%) patients with pH<6.5, pH<6.0, pH<5.5 and pH<5.0 events respectively. The positive rate of RSI, RFS, RSI and RFS, RSI or RFS were 44.24%, 16.78%, 7.12%, 53.90% respectively. The RFS score in Ryan index positive group was higher than that in Ryan index negative group[(8.2±2.4) vs (4.0±2.9), u=5.424, P<0.05], while the RSI score in Ryan index positive group was not statistically different from that in Ryan index negative group[(11.3±6.2) vs (12.7±5.8), t=1.247, P=0.167]. Conclusions Pharyngeal pH monitoring is an objective and non-invasive method which can reflect laryngopharyngeal reflux directly. However, with the Ryan index as a criterion for the diagnosis of laryngopharyngeal reflux disease, partial patients may be missed. Further studies are needed to obtain more accurate and objective laryngopharyngeal pH statistical index for diagnosis of laryngopharyngeal reflux disease.

Objective To investigate the feasibility of the upper- arm electronic sphygmomanometer for evaluating the blood pressure in patients with atrial fibrillation. Methods Consecutive hospitalized patients with atrial fibrillation for coronary angiography were selected, and the application of upper- arm electronic sphygmomanometer and mercury sphygmomanometer of blood pressure were applied and in the process of coronary angiography, the radial artery invasive blood pressure was recorded and the correlation was analyzed. Results Mercury sphygmomanometer and radial artery invasive blood pressure measurement had a good consistency on systolic blood pressure, diastolic blood pressure, pulse pressure, mean arterial pressure in atrial fibrillation patients, the differences were not statistically significant (P>0.05). Upper- arm electronic sphygmomanometer and radial artery invasive blood pressure measurement had some consistency (pulse rate range, pulse rate of 70-90 beats / min) on systolic blood pressure, diastolic blood pressure, pulse pressure, mean arterial pressure in atrial fibrillation patients, the differences were not statistically significant (P>0.05). Upper-arm electronic sphygmomanometer and mercury sphygmomanometer had some consistency (pulse rate range, pulse rate of 70-90 beats / min) on systolic blood pressure, diastolic blood pressure, pulse pressure, mean arterial pressure in atrial fibrillation patients, the differences were not statistically significant (P>0.05). The correlation between mercury sphygmomanometer and radial artery invasive blood pressure measurement were found on systolic blood pressure, diastolic blood pressure, pulse pressure, mean arterial pressure in atrial fibrillation patients (r=0.71-0.78, P<0.05),which were better than those of upper- arm electronic sphygmomanometer and radial artery invasive blood pressure measurement (r=0.53-0.70, P <0.05). Conclusions The upper- arm electronic sphygmomanometer can be used for the assessment of blood pressure in patients with atrial fibrillation.

Objective: To study the risk factors for prevalence of acute myocardial infarction (AMI) in young and middle-aged population. Methods: A prospective cohort study was conducted in 110100 subjects at the age of (18-98) years who received physical examination in Kailuan Group from 2012-06 to 2014-10. Based on the limitations of male≤53 years and female≤63 years, a total of 62367 subjects were enrolled in our study. The subjects were followed-up for 2 years by the end point event of AMI to analyze the risk factors ofAMI occurrence. Results: According to AMI occurrence at the follow-up period, the subjects were divided into 2 groups: AMI group, n=56 and Control group, n=62152. Compared with Control group, AMI group had increased BMI, SBP, DBP and elevated blood levels of LDL-C, TG; AMI group also showed the higher ratios of subjects with the history of diabetes and taking anti-hypertension medication. Cox proportional hazard regression analysis indicated that age (RR=1.37), male (RR=60.54), LDL-C (RR=1.12), and TG (RR=5.93) were the risk factors forAMI occurrence in young and middle-aged population, allP<0.05. Conclusion: Age, male gender, blood levels of LDL-C, and TG were the risk factors for AMI occurrence in young and middle-aged population.

This study was directed to the effects of macrophage-colony stimulating factors (M-CSF) concentration, recerptor activator of nuclear factor kappaB ligand (RANKL) concentration and M-CSF preinduction on osteoclastogenesis and the related resorption function. Bone marrow mononuclear cells were isolated and were divided into 4 groups. Group A underwent osteoclastogenic induction with the use of 30 ng/ml M-CSF and 50 ng/ml RANKL, while Group B received 50 ng/ml M-CSF and 100 ng/ml RANKL treatment. Both C and D Group underwent preinduction with the use of 30 ng/ml M-CSF for 3days, and then they were treated with 30 ng/ml M-CSF and 50 ng/ml RANKL, 50 ng/ml M-CSF and 100 ng/ml RANKL, respectively. Osteoclastogenesis was examined by TRAP staining 6 days after induction, and dentin resorption lacunae were detected by Scanning Electron Microscope 9 days after induction. TRAP positive multinuclear cells were observed in all groups of cells, and resorption lacunae were formed in all of them. However, more TRAP positive multinuclear cells were observed and more large resorption lacunae were detected in groups B and D than in groups A and C, respectively. The number of TRAP positive cells, number of resorption lacunae and lacuna areas in groups C and D were also greater than those in groups A and B, respectively. Higher concentration of M-CSF and RANKL and preinduction with M-CSF may benefit osteoclastogenesis and increase resorption function of osteoclast.
Animals ; Bone Marrow Cells ; cytology ; Cell Culture Techniques ; methods ; Cell Differentiation ; drug effects ; Cell Proliferation ; drug effects ; Cells, Cultured ; Culture Media ; pharmacology ; Leukocytes, Mononuclear ; cytology ; Macrophage Colony-Stimulating Factor ; pharmacology ; Mice ; Osteoclasts ; cytology ; RANK Ligand ; pharmacology